From f37e4565ffe8f751ec1f4c2b135b9540b4864f81 Mon Sep 17 00:00:00 2001 From: Sam Rolfe Date: Thu, 7 May 2026 11:38:14 +1000 Subject: [PATCH] Add plannotator extension v0.19.10 --- extensions/plannotator/README.md | 229 + extensions/plannotator/assistant-message.ts | 74 + extensions/plannotator/config.test.ts | 166 + extensions/plannotator/config.ts | 318 ++ extensions/plannotator/current-pi-session.ts | 147 + .../plannotator/generated/agent-jobs.ts | 133 + .../plannotator/generated/ai/base-session.ts | 95 + .../plannotator/generated/ai/context.ts | 212 + .../plannotator/generated/ai/endpoints.ts | 309 + extensions/plannotator/generated/ai/index.ts | 106 + .../plannotator/generated/ai/provider.ts | 104 + .../ai/providers/claude-agent-sdk.ts | 445 ++ .../generated/ai/providers/codex-sdk.ts | 431 ++ .../generated/ai/providers/opencode-sdk.ts | 547 ++ .../generated/ai/providers/pi-events.ts | 111 + .../generated/ai/providers/pi-sdk-node.ts | 377 ++ .../generated/ai/providers/pi-sdk.ts | 442 ++ .../generated/ai/session-manager.ts | 196 + extensions/plannotator/generated/ai/types.ts | 370 ++ .../plannotator/generated/annotate-args.ts | 104 + .../plannotator/generated/at-reference.ts | 53 + extensions/plannotator/generated/checklist.ts | 53 + .../plannotator/generated/claude-review.ts | 346 ++ extensions/plannotator/generated/code-file.ts | 20 + .../plannotator/generated/codex-review.ts | 408 ++ extensions/plannotator/generated/config.ts | 227 + extensions/plannotator/generated/draft.ts | 65 + .../generated/external-annotation.ts | 398 ++ extensions/plannotator/generated/favicon.ts | 6 + .../generated/feedback-templates.ts | 30 + .../plannotator/generated/html-to-markdown.ts | 33 + .../generated/integrations-common.ts | 244 + .../plannotator/generated/path-utils.ts | 19 + extensions/plannotator/generated/pr-github.ts | 662 +++ extensions/plannotator/generated/pr-gitlab.ts | 521 ++ .../plannotator/generated/pr-provider.ts | 432 ++ extensions/plannotator/generated/pr-stack.ts | 195 + extensions/plannotator/generated/project.ts | 72 + extensions/plannotator/generated/prompts.ts | 245 + .../plannotator/generated/reference-common.ts | 88 + extensions/plannotator/generated/repo.ts | 72 + .../plannotator/generated/resolve-file.ts | 510 ++ .../plannotator/generated/review-core.ts | 748 +++ extensions/plannotator/generated/storage.ts | 377 ++ .../plannotator/generated/tour-review.ts | 601 ++ extensions/plannotator/generated/tour.ts | 62 + .../plannotator/generated/url-to-markdown.ts | 352 ++ .../plannotator/generated/worktree-pool.ts | 104 + extensions/plannotator/generated/worktree.ts | 120 + extensions/plannotator/index.ts | 1266 +++++ extensions/plannotator/package-lock.json | 4457 +++++++++++++++ extensions/plannotator/package.json | 57 + extensions/plannotator/plannotator-browser.ts | 549 ++ extensions/plannotator/plannotator-events.ts | 334 ++ extensions/plannotator/plannotator.html | 3983 +++++++++++++ extensions/plannotator/plannotator.json | 12 + extensions/plannotator/review-editor.html | 4961 +++++++++++++++++ extensions/plannotator/server.test.ts | 443 ++ extensions/plannotator/server.ts | 28 + extensions/plannotator/server/agent-jobs.ts | 515 ++ extensions/plannotator/server/annotations.ts | 85 + .../server/external-annotations.ts | 189 + extensions/plannotator/server/handlers.ts | 210 + extensions/plannotator/server/helpers.ts | 78 + extensions/plannotator/server/ide.ts | 46 + extensions/plannotator/server/integrations.ts | 195 + extensions/plannotator/server/network.test.ts | 109 + extensions/plannotator/server/network.ts | 173 + extensions/plannotator/server/pr.ts | 124 + extensions/plannotator/server/project.ts | 64 + extensions/plannotator/server/reference.ts | 358 ++ .../plannotator/server/serverAnnotate.ts | 181 + extensions/plannotator/server/serverPlan.ts | 480 ++ extensions/plannotator/server/serverReview.ts | 1174 ++++ .../skills/plannotator-annotate/SKILL.md | 23 + .../plannotator-annotate/agents/openai.yaml | 5 + .../skills/plannotator-compound/SKILL.md | 574 ++ .../assets/report-template.html | 795 +++ .../references/claude-code-fallback.md | 282 + .../extract_exit_plan_mode_outcomes.py | 820 +++ .../skills/plannotator-last/SKILL.md | 23 + .../plannotator-last/agents/openai.yaml | 5 + .../skills/plannotator-review/SKILL.md | 23 + .../plannotator-review/agents/openai.yaml | 5 + .../skills/plannotator-setup-goal/SKILL.md | 89 + .../plannotator-setup-goal/agents/openai.yaml | 4 + .../scripts/scaffold_goal.py | 219 + extensions/plannotator/tool-scope.test.ts | 88 + extensions/plannotator/tool-scope.ts | 39 + extensions/plannotator/tsconfig.json | 16 + extensions/plannotator/vendor.sh | 43 + 91 files changed, 35103 insertions(+) create mode 100644 extensions/plannotator/README.md create mode 100644 extensions/plannotator/assistant-message.ts create mode 100644 extensions/plannotator/config.test.ts create mode 100644 extensions/plannotator/config.ts create mode 100644 extensions/plannotator/current-pi-session.ts create mode 100644 extensions/plannotator/generated/agent-jobs.ts create mode 100644 extensions/plannotator/generated/ai/base-session.ts create mode 100644 extensions/plannotator/generated/ai/context.ts create mode 100644 extensions/plannotator/generated/ai/endpoints.ts create mode 100644 extensions/plannotator/generated/ai/index.ts create mode 100644 extensions/plannotator/generated/ai/provider.ts create mode 100644 extensions/plannotator/generated/ai/providers/claude-agent-sdk.ts create mode 100644 extensions/plannotator/generated/ai/providers/codex-sdk.ts create mode 100644 extensions/plannotator/generated/ai/providers/opencode-sdk.ts create mode 100644 extensions/plannotator/generated/ai/providers/pi-events.ts create mode 100644 extensions/plannotator/generated/ai/providers/pi-sdk-node.ts create mode 100644 extensions/plannotator/generated/ai/providers/pi-sdk.ts create mode 100644 extensions/plannotator/generated/ai/session-manager.ts create mode 100644 extensions/plannotator/generated/ai/types.ts create mode 100644 extensions/plannotator/generated/annotate-args.ts create mode 100644 extensions/plannotator/generated/at-reference.ts create mode 100644 extensions/plannotator/generated/checklist.ts create mode 100644 extensions/plannotator/generated/claude-review.ts create mode 100644 extensions/plannotator/generated/code-file.ts create mode 100644 extensions/plannotator/generated/codex-review.ts create mode 100644 extensions/plannotator/generated/config.ts create mode 100644 extensions/plannotator/generated/draft.ts create mode 100644 extensions/plannotator/generated/external-annotation.ts create mode 100644 extensions/plannotator/generated/favicon.ts create mode 100644 extensions/plannotator/generated/feedback-templates.ts create mode 100644 extensions/plannotator/generated/html-to-markdown.ts create mode 100644 extensions/plannotator/generated/integrations-common.ts create mode 100644 extensions/plannotator/generated/path-utils.ts create mode 100644 extensions/plannotator/generated/pr-github.ts create mode 100644 extensions/plannotator/generated/pr-gitlab.ts create mode 100644 extensions/plannotator/generated/pr-provider.ts create mode 100644 extensions/plannotator/generated/pr-stack.ts create mode 100644 extensions/plannotator/generated/project.ts create mode 100644 extensions/plannotator/generated/prompts.ts create mode 100644 extensions/plannotator/generated/reference-common.ts create mode 100644 extensions/plannotator/generated/repo.ts create mode 100644 extensions/plannotator/generated/resolve-file.ts create mode 100644 extensions/plannotator/generated/review-core.ts create mode 100644 extensions/plannotator/generated/storage.ts create mode 100644 extensions/plannotator/generated/tour-review.ts create mode 100644 extensions/plannotator/generated/tour.ts create mode 100644 extensions/plannotator/generated/url-to-markdown.ts create mode 100644 extensions/plannotator/generated/worktree-pool.ts create mode 100644 extensions/plannotator/generated/worktree.ts create mode 100644 extensions/plannotator/index.ts create mode 100644 extensions/plannotator/package-lock.json create mode 100644 extensions/plannotator/package.json create mode 100644 extensions/plannotator/plannotator-browser.ts create mode 100644 extensions/plannotator/plannotator-events.ts create mode 100644 extensions/plannotator/plannotator.html create mode 100644 extensions/plannotator/plannotator.json create mode 100644 extensions/plannotator/review-editor.html create mode 100644 extensions/plannotator/server.test.ts create mode 100644 extensions/plannotator/server.ts create mode 100644 extensions/plannotator/server/agent-jobs.ts create mode 100644 extensions/plannotator/server/annotations.ts create mode 100644 extensions/plannotator/server/external-annotations.ts create mode 100644 extensions/plannotator/server/handlers.ts create mode 100644 extensions/plannotator/server/helpers.ts create mode 100644 extensions/plannotator/server/ide.ts create mode 100644 extensions/plannotator/server/integrations.ts create mode 100644 extensions/plannotator/server/network.test.ts create mode 100644 extensions/plannotator/server/network.ts create mode 100644 extensions/plannotator/server/pr.ts create mode 100644 extensions/plannotator/server/project.ts create mode 100644 extensions/plannotator/server/reference.ts create mode 100644 extensions/plannotator/server/serverAnnotate.ts create mode 100644 extensions/plannotator/server/serverPlan.ts create mode 100644 extensions/plannotator/server/serverReview.ts create mode 100644 extensions/plannotator/skills/plannotator-annotate/SKILL.md create mode 100644 extensions/plannotator/skills/plannotator-annotate/agents/openai.yaml create mode 100644 extensions/plannotator/skills/plannotator-compound/SKILL.md create mode 100644 extensions/plannotator/skills/plannotator-compound/assets/report-template.html create mode 100644 extensions/plannotator/skills/plannotator-compound/references/claude-code-fallback.md create mode 100644 extensions/plannotator/skills/plannotator-compound/scripts/extract_exit_plan_mode_outcomes.py create mode 100644 extensions/plannotator/skills/plannotator-last/SKILL.md create mode 100644 extensions/plannotator/skills/plannotator-last/agents/openai.yaml create mode 100644 extensions/plannotator/skills/plannotator-review/SKILL.md create mode 100644 extensions/plannotator/skills/plannotator-review/agents/openai.yaml create mode 100644 extensions/plannotator/skills/plannotator-setup-goal/SKILL.md create mode 100644 extensions/plannotator/skills/plannotator-setup-goal/agents/openai.yaml create mode 100755 extensions/plannotator/skills/plannotator-setup-goal/scripts/scaffold_goal.py create mode 100644 extensions/plannotator/tool-scope.test.ts create mode 100644 extensions/plannotator/tool-scope.ts create mode 100644 extensions/plannotator/tsconfig.json create mode 100755 extensions/plannotator/vendor.sh diff --git a/extensions/plannotator/README.md b/extensions/plannotator/README.md new file mode 100644 index 0000000..3a039a8 --- /dev/null +++ b/extensions/plannotator/README.md @@ -0,0 +1,229 @@ +# Plannotator for Pi + +Plannotator integration for the [Pi coding agent](https://github.com/badlogic/pi-mono/tree/main/packages/coding-agent). Adds file-based plan mode with a visual browser UI for reviewing, annotating, and approving agent plans. + +## Install + +**From npm** (recommended): + +```bash +pi install npm:@plannotator/pi-extension +``` + +**From source:** + +```bash +git clone https://github.com/backnotprop/plannotator.git +pi install ./plannotator/apps/pi-extension +``` + +**Try without installing:** + +```bash +pi -e npm:@plannotator/pi-extension +``` + +## Build from source + +If installing from a local clone, build the HTML assets first: + +```bash +cd plannotator +bun install +bun run build:pi +``` + +This builds the plan review and code review UIs and copies them into `apps/pi-extension/`. + +## Usage + +### Plan mode + +Start Pi in plan mode: + +```bash +pi --plan +``` + +Or toggle it during a session with `/plannotator` or `Ctrl+Alt+P`. The command accepts an optional file path argument (`/plannotator plans/auth.md`) or prompts you to choose one interactively. + +In plan mode the agent is restricted — destructive commands are blocked, writes are limited to the plan file. It explores your codebase, then writes a plan using markdown checklists: + +```markdown +- [ ] Add validation to the login form +- [ ] Write tests for the new validation logic +- [ ] Update error messages in the UI +``` + +When the agent calls `plannotator_submit_plan`, the Plannotator UI opens in your browser. You can: + +- **Approve** the plan to begin execution +- **Deny with annotations** to send structured feedback back to the agent +- **Approve with notes** to proceed but include implementation guidance + +The agent iterates on the plan until you approve, then executes with full tool access. On resubmission, Plan Diff highlights what changed since the previous version. + +### Configuring per-phase behavior + +Plannotator loads configuration in three layers: + +1. Built-in base config shipped with the package: `plannotator.json` +2. Global user config: `~/.pi/agent/plannotator.json` +3. Project-local config: `/.pi/plannotator.json` + +Later layers overwrite earlier ones. If a field is omitted, it inherits the value from lower-precedence layers. If a value is set to `null`, an empty string, or an empty array, it clears the inherited value instead of merging it. You can also set `defaults` or an entire phase object to `null` to clear all inherited settings from lower-precedence layers. + +#### Top-level shape + +```json +{ + "defaults": { + "model": { "provider": "anthropic", "id": "claude-sonnet-4-5" }, + "thinking": "medium", + "activeTools": ["read", "bash"], + "statusLabel": "Ready", + "systemPrompt": "Optional prompt template" + }, + "phases": { + "planning": { + "model": null, + "thinking": null, + "activeTools": ["grep", "find", "ls", "plannotator_submit_plan"], + "statusLabel": "⏸ plan", + "systemPrompt": "[PLANNING]\nPlan file: ${planFilePath}" + }, + "executing": { + "model": { "provider": "anthropic", "id": "claude-sonnet-4-5" }, + "thinking": "high", + "activeTools": [], + "statusLabel": "", + "systemPrompt": "[EXECUTING]\nRemaining steps:\n${todoList}" + }, + "reviewing": { + "systemPrompt": "..." + } + } +} +``` + +#### Option reference + +| Option | Type | Meaning | +|--------|------|---------| +| `defaults` | object | Base values applied to every phase before phase-specific overrides | +| `phases` | object | Phase-specific overrides | +| `phases.planning` | object | Settings for planning mode | +| `phases.executing` | object | Settings for execution mode | +| `phases.reviewing` | object | Reserved for future review-mode customization | +| `model` | `{ provider, id }` \| `null` | Sets the model for the phase; `null` leaves the current model unchanged | +| `thinking` | `minimal` \| `low` \| `medium` \| `high` \| `xhigh` \| `null` | Sets the thinking level; `null` leaves the current level unchanged | +| `activeTools` | string[] \| `null` | Extra tools to enable for the phase; `[]` or `null` means no extra phase tools | +| `statusLabel` | string \| `null` | Optional UI label for the phase; empty/null clears it | +| `systemPrompt` | string \| `null` | Phase system prompt template; empty/null disables prompt injection | + +#### Prompt variables + +Use these inside `systemPrompt` strings: + +- `${planFilePath}` — current plan file path +- `${todoList}` — remaining checklist items as markdown checkboxes +- `${completedCount}` — completed checklist count +- `${totalCount}` — total checklist count +- `${remainingCount}` — remaining checklist count +- `${phase}` — current runtime phase (`planning`, `executing`, `reviewing`, or `idle`) + +#### Behavior notes + +- Unknown template variables trigger a warning in the UI and are rendered as empty strings. +- `activeTools` are additive with the tools currently active in the session, so Plannotator still preserves tools provided by other extensions. +- Execution progress remains dynamic (`[DONE:n]` + checklist tracking), even if `statusLabel` is set. + +#### Example files + +- Built-in base config shipped with the package: `apps/pi-extension/plannotator.json` +- Global user override: `~/.pi/agent/plannotator.json` +- Project-local override: `/.pi/plannotator.json` + +### Code review + +Run `/plannotator-review` to open your current git changes in the code review UI. Annotate specific lines, switch between diff views (uncommitted, staged, last commit, branch), and submit feedback that gets sent to the agent. + +### Shared Plannotator event API + +Plannotator also listens on the shared `plannotator:request` event channel so other extensions can reuse the same browser review flows without importing Plannotator internals. + +Supported actions and payloads: + +- `plan-review`: `{ planContent, planFilePath? }` +- `review-status`: `{ reviewId }` +- `code-review`: `{ cwd?, defaultBranch?, diffType? }` +- `annotate`: `{ filePath, markdown?, mode?, folderPath? }` +- `annotate-last`: `{ markdown? }` +- `archive`: `{ customPlanPath? }` + +Plan review is asynchronous: + +- callers send `plannotator:request` with action `plan-review` +- Plannotator opens the browser review and immediately responds with `{ status: "handled", result: { status: "pending", reviewId } }` +- when the human approves or rejects in the browser, Plannotator emits `plannotator:review-result` with `{ reviewId, approved, feedback, savedPath?, agentSwitch?, permissionMode? }` +- callers can query `review-status` with the same `reviewId` to recover from startup races or session restarts + +The other shared actions remain request/response flows. Payloads are intentionally minimal and only include fields the shared implementation actually uses. + +### Markdown annotation + +Run `/plannotator-annotate ` to open any markdown file in the annotation UI. Useful for reviewing documentation or design specs with the agent. + +### Annotate last message + +Run `/plannotator-last` to annotate the agent's most recent response. The message opens in the annotation UI where you can highlight text, add comments, and send structured feedback back to the agent. + +### Archive browser + +The Plannotator archive browser is available through the shared event API as `archive`, which opens the saved plan/decision browser for future callers. The orchestrator does not expose a dedicated archive command yet. + +### Progress tracking + +During execution, the agent marks completed steps with `[DONE:n]` markers. Progress is shown in the status line and as a checklist widget in the terminal. + +## Commands + +| Command | Description | +|---------|-------------| +| `/plannotator` | Toggle plan mode. The agent writes a markdown plan file anywhere in the working directory and submits its path | +| `/plannotator-status` | Show current phase, plan file, and progress | +| `/plannotator-review` | Open code review UI for current changes | +| `/plannotator-annotate ` | Open markdown file in annotation UI | +| `/plannotator-last` | Annotate the last assistant message | + +## Flags + +| Flag | Description | +|------|-------------| +| `--plan` | Start in plan mode | + +## Keyboard shortcuts + +| Shortcut | Description | +|----------|-------------| +| `Ctrl+Alt+P` | Toggle plan mode | + +## How it works + +The extension manages a state machine: **idle** → **planning** → **executing** → **idle**. + +During **planning**: +- All tools from other extensions remain available +- Bash is unrestricted — the agent is guided by the system prompt not to run destructive commands +- Writes and edits restricted to the plan file only + +During **executing**: +- Full tool access: `read`, `bash`, `edit`, `write` +- Progress tracked via `[DONE:n]` markers in agent responses +- Plan re-read from disk each turn to stay current + +State persists across session restarts via Pi's `appendEntry` API. + +## Requirements + +- [Pi](https://github.com/mariozechner/pi) >= 0.53.0 diff --git a/extensions/plannotator/assistant-message.ts b/extensions/plannotator/assistant-message.ts new file mode 100644 index 0000000..a7a06ef --- /dev/null +++ b/extensions/plannotator/assistant-message.ts @@ -0,0 +1,74 @@ +import type { ExtensionContext } from "@mariozechner/pi-coding-agent"; + +type AssistantTextBlock = { type?: string; text?: string }; + +type AssistantMessageLike = { + role?: unknown; + content?: unknown; +}; + +type SessionEntryLike = { + id: string; + type: string; + message?: AssistantMessageLike; +}; + +export type LastAssistantMessageSnapshot = { + entryId: string; + text: string; +}; + +function isAssistantMessage(message: AssistantMessageLike): message is { role: "assistant"; content: AssistantTextBlock[] } { + return message.role === "assistant" && Array.isArray(message.content); +} + +function getTextContent(message: { content: AssistantTextBlock[] }): string { + return message.content + .filter((block): block is { type: "text"; text: string } => block.type === "text") + .map((block) => block.text) + .join("\n"); +} + +function isRecord(value: unknown): value is Record { + return typeof value === "object" && value !== null; +} + +export function getAssistantMessageText(message: unknown): string | null { + if (!isRecord(message)) return null; + const candidate = { role: message.role, content: message.content }; + if (!isAssistantMessage(candidate)) return null; + const text = getTextContent(candidate); + return text.trim() ? text : null; +} + +function getCurrentBranch(ctx: ExtensionContext): SessionEntryLike[] { + return ctx.sessionManager.getBranch() as SessionEntryLike[]; +} + +export function getLastAssistantMessageSnapshot(ctx: ExtensionContext): LastAssistantMessageSnapshot | null { + // "Last" means the active conversation branch, not the newest message anywhere + // in the append-only session file. + const branch = getCurrentBranch(ctx); + for (let i = branch.length - 1; i >= 0; i--) { + const entry = branch[i]; + if (entry.type === "message" && entry.message) { + const text = getAssistantMessageText(entry.message); + if (text) return { entryId: entry.id, text }; + } + } + return null; +} + +export function getLastAssistantMessageText(ctx: ExtensionContext): string | null { + return getLastAssistantMessageSnapshot(ctx)?.text ?? null; +} + +export function hasSessionMovedPastEntry(ctx: ExtensionContext, entryId: string): boolean { + if (!ctx.isIdle()) return true; + + const branch = getCurrentBranch(ctx); + const index = branch.findIndex((entry) => entry.id === entryId); + if (index === -1) return true; + + return branch.slice(index + 1).some((entry) => entry.type === "message"); +} diff --git a/extensions/plannotator/config.test.ts b/extensions/plannotator/config.test.ts new file mode 100644 index 0000000..bf3cf3a --- /dev/null +++ b/extensions/plannotator/config.test.ts @@ -0,0 +1,166 @@ +import { afterEach, describe, expect, test } from "bun:test"; +import { mkdirSync, mkdtempSync, rmSync, writeFileSync } from "node:fs"; +import { tmpdir } from "node:os"; +import { join } from "node:path"; +import { loadPlannotatorConfig, formatTodoList, renderTemplate, resolvePhaseProfile } from "./config"; + +const tempDirs: string[] = []; +const originalHome = process.env.HOME; + +function makeTempDir(prefix: string): string { + const dir = mkdtempSync(join(tmpdir(), prefix)); + tempDirs.push(dir); + return dir; +} + +afterEach(() => { + if (originalHome === undefined) { + delete process.env.HOME; + } else { + process.env.HOME = originalHome; + } + + for (const dir of tempDirs.splice(0)) { + rmSync(dir, { recursive: true, force: true }); + } +}); + +describe("plannotator config", () => { + test("loads the shipped internal base config", () => { + const cwdDir = makeTempDir("plannotator-config-base-"); + process.env.HOME = makeTempDir("plannotator-config-home-base-"); + + const loaded = loadPlannotatorConfig(cwdDir); + const planning = resolvePhaseProfile(loaded.config, "planning"); + + expect(loaded.warnings).toEqual([]); + expect(planning.statusLabel).toBe("⏸ plan"); + expect(planning.activeTools).toEqual(["grep", "find", "ls", "plannotator_submit_plan"]); + }); + + test("allows a project config to clear an inherited phase with null", () => { + const homeDir = makeTempDir("plannotator-config-home-null-"); + const cwdDir = makeTempDir("plannotator-config-cwd-null-"); + process.env.HOME = homeDir; + + const globalConfigDir = join(homeDir, ".pi", "agent"); + const projectConfigDir = join(cwdDir, ".pi"); + mkdirSync(globalConfigDir, { recursive: true }); + mkdirSync(projectConfigDir, { recursive: true }); + writeFileSync( + join(globalConfigDir, "plannotator.json"), + JSON.stringify({ + phases: { planning: { statusLabel: "global", activeTools: ["bash"] } }, + }), + "utf-8", + ); + writeFileSync( + join(projectConfigDir, "plannotator.json"), + JSON.stringify({ + phases: { planning: null }, + }), + "utf-8", + ); + + const loaded = loadPlannotatorConfig(cwdDir); + const planning = resolvePhaseProfile(loaded.config, "planning"); + + expect(loaded.warnings).toEqual([]); + expect(planning.statusLabel).toBeUndefined(); + expect(planning.activeTools).toBeUndefined(); + }); + + test("loads global and project configs with project precedence", () => { + const homeDir = makeTempDir("plannotator-config-home-"); + const cwdDir = makeTempDir("plannotator-config-cwd-"); + process.env.HOME = homeDir; + + const globalConfigDir = join(homeDir, ".pi", "agent"); + const projectConfigDir = join(cwdDir, ".pi"); + mkdirSync(globalConfigDir, { recursive: true }); + mkdirSync(projectConfigDir, { recursive: true }); + writeFileSync( + join(globalConfigDir, "plannotator.json"), + JSON.stringify({ + defaults: { + thinking: "low", + model: { provider: "anthropic", id: "claude-sonnet-4-5" }, + }, + phases: { planning: { statusLabel: "global", activeTools: ["bash"] } }, + }), + "utf-8", + ); + writeFileSync( + join(projectConfigDir, "plannotator.json"), + JSON.stringify({ + defaults: { thinking: null, model: null }, + phases: { planning: { statusLabel: "project", activeTools: [] } }, + }), + "utf-8", + ); + + const loaded = loadPlannotatorConfig(cwdDir); + const planning = resolvePhaseProfile(loaded.config, "planning"); + + expect(loaded.warnings).toEqual([]); + expect(planning.thinking).toBeUndefined(); + expect(planning.model).toBeUndefined(); + expect(planning.statusLabel).toBe("project"); + expect(planning.activeTools).toEqual([]); + }); + + test("treats empty strings as clearing values", () => { + const profile = resolvePhaseProfile( + { + defaults: { statusLabel: "base", systemPrompt: "base prompt", activeTools: ["bash"] }, + phases: { planning: { statusLabel: "", systemPrompt: "", activeTools: [] } }, + }, + "planning", + ); + + expect(profile.statusLabel).toBeUndefined(); + expect(profile.systemPrompt).toBeUndefined(); + expect(profile.activeTools).toEqual([]); + }); + + test("allows clearing an entire phase with null", () => { + const profile = resolvePhaseProfile( + { + defaults: { thinking: "low", activeTools: ["bash"], statusLabel: "base" }, + phases: { planning: null }, + }, + "planning", + ); + + expect(profile.thinking).toBe("low"); + expect(profile.activeTools).toEqual(["bash"]); + expect(profile.statusLabel).toBe("base"); + }); + + test("renders prompt templates and reports unknown variables", () => { + const rendered = renderTemplate("Hello ${name} ${missing}", { + planFilePath: "PLAN.md", + todoList: "- [ ] A", + completedCount: 1, + totalCount: 2, + remainingCount: 1, + phase: "planning", + }); + + expect(rendered.text).toBe("Hello "); + expect(rendered.unknownVariables).toEqual(["name", "missing"]); + }); + + test("formats todo lists from checklist items", () => { + const stats = formatTodoList([ + { step: 1, text: "First", completed: true }, + { step: 2, text: "Second", completed: false }, + { step: 3, text: "Third", completed: false }, + ]); + + expect(stats.completedCount).toBe(1); + expect(stats.totalCount).toBe(3); + expect(stats.remainingCount).toBe(2); + expect(stats.todoList).toBe("- [ ] 2. Second\n- [ ] 3. Third"); + }); +}); diff --git a/extensions/plannotator/config.ts b/extensions/plannotator/config.ts new file mode 100644 index 0000000..7419c66 --- /dev/null +++ b/extensions/plannotator/config.ts @@ -0,0 +1,318 @@ +import { existsSync, readFileSync } from "node:fs"; +import { dirname, join } from "node:path"; +import { fileURLToPath } from "node:url"; +import { homedir } from "node:os"; +import type { ThinkingLevel } from "@mariozechner/pi-agent-core"; + +export type PhaseName = "planning" | "executing" | "reviewing"; +export type RuntimePhase = PhaseName | "idle"; + +export interface PhaseModelRef { + provider: string; + id: string; +} + +/** + * Config values loaded from JSON can intentionally clear inherited values. + * + * - `null` clears a value from a parent config. + * - `[]` clears active tools. + * - `""` clears string values. + */ +export interface PhaseProfile { + model?: PhaseModelRef | null; + thinking?: ThinkingLevel | null; + activeTools?: string[] | null; + statusLabel?: string | null; + systemPrompt?: string | null; +} + +export interface PlannotatorConfig { + defaults?: PhaseProfile | null; + phases?: Partial>; +} + +export interface LoadedPlannotatorConfig { + config: PlannotatorConfig; + warnings: string[]; +} + +export interface ResolvedPhaseProfile { + model?: PhaseModelRef; + thinking?: ThinkingLevel; + activeTools?: string[]; + statusLabel?: string; + systemPrompt?: string; +} + +export interface PromptVariables { + planFilePath: string; + todoList: string; + completedCount: number; + totalCount: number; + remainingCount: number; + phase: RuntimePhase; +} + +export interface PromptRenderResult { + text: string; + unknownVariables: string[]; +} + +const INTERNAL_CONFIG_PATH = join(dirname(fileURLToPath(import.meta.url)), "plannotator.json"); +const PHASES: PhaseName[] = ["planning", "executing", "reviewing"]; +const THINKING_LEVELS = new Set(["minimal", "low", "medium", "high", "xhigh"]); + +function getAgentConfigDir(): string { + const envDir = process.env.PI_CODING_AGENT_DIR; + if (envDir) return envDir; + return join(process.env.HOME || process.env.USERPROFILE || homedir(), ".pi", "agent"); +} + +function isRecord(value: unknown): value is Record { + return typeof value === "object" && value !== null && !Array.isArray(value); +} + +function readJsonFile(path: string): { data?: unknown; error?: string } { + if (!existsSync(path)) return {}; + + try { + return { data: JSON.parse(readFileSync(path, "utf-8")) }; + } catch (error) { + return { error: `Failed to parse ${path}: ${error instanceof Error ? error.message : String(error)}` }; + } +} + +function normalizeModel(value: unknown): PhaseModelRef | null | undefined { + if (value === null) return null; + if (!isRecord(value)) return undefined; + + const provider = typeof value.provider === "string" ? value.provider.trim() : ""; + const id = typeof value.id === "string" ? value.id.trim() : ""; + if (!provider || !id) return undefined; + return { provider, id }; +} + +function normalizeThinking(value: unknown): ThinkingLevel | null | undefined { + if (value === null) return null; + if (typeof value !== "string") return undefined; + const trimmed = value.trim(); + if (!trimmed) return null; + + return THINKING_LEVELS.has(trimmed as ThinkingLevel) ? (trimmed as ThinkingLevel) : undefined; +} + +function normalizeTools(value: unknown): string[] | null | undefined { + if (value === null) return null; + if (!Array.isArray(value)) return undefined; + if (value.length === 0) return []; + + const tools = value.filter((tool): tool is string => typeof tool === "string" && tool.trim().length > 0); + return tools.length > 0 ? tools : undefined; +} + +function normalizeLabel(value: unknown): string | null | undefined { + if (value === null) return null; + if (typeof value !== "string") return undefined; + const trimmed = value.trim(); + return trimmed.length > 0 ? trimmed : null; +} + +function normalizePrompt(value: unknown): string | null | undefined { + if (value === null) return null; + if (typeof value !== "string") return undefined; + return value.length > 0 ? value : null; +} + +function normalizeProfile(raw: unknown): PhaseProfile | null | undefined { + if (raw === null) return null; + if (!isRecord(raw)) return undefined; + + const profile: PhaseProfile = {}; + + if ("model" in raw) profile.model = normalizeModel(raw.model); + if ("thinking" in raw) profile.thinking = normalizeThinking(raw.thinking); + if ("thinkingLevel" in raw && profile.thinking === undefined) profile.thinking = normalizeThinking(raw.thinkingLevel); + if ("activeTools" in raw) profile.activeTools = normalizeTools(raw.activeTools); + if ("statusLabel" in raw) profile.statusLabel = normalizeLabel(raw.statusLabel); + if ("systemPrompt" in raw) profile.systemPrompt = normalizePrompt(raw.systemPrompt); + + return profile; +} + +function cloneProfile(profile: PhaseProfile | null | undefined): PhaseProfile | null | undefined { + if (profile === null || profile === undefined) return profile; + return { ...profile, activeTools: profile.activeTools ? [...profile.activeTools] : profile.activeTools }; +} + +function mergeProfile(base: PhaseProfile | null | undefined, override: PhaseProfile | null | undefined): PhaseProfile | null | undefined { + if (override === null) return null; + if (override === undefined) return cloneProfile(base); + if (base === null || base === undefined) return cloneProfile(override); + + const merged: PhaseProfile = { + model: override.model !== undefined ? override.model : base.model, + thinking: override.thinking !== undefined ? override.thinking : base.thinking, + activeTools: override.activeTools !== undefined ? override.activeTools : base.activeTools, + statusLabel: override.statusLabel !== undefined ? override.statusLabel : base.statusLabel, + systemPrompt: override.systemPrompt !== undefined ? override.systemPrompt : base.systemPrompt, + }; + + return merged; +} + +function mergeConfig(base: PlannotatorConfig, override: PlannotatorConfig): PlannotatorConfig { + const phases: Partial> = {}; + for (const phase of PHASES) { + const merged = mergeProfile(base.phases?.[phase], override.phases?.[phase]); + if (merged !== undefined) phases[phase] = merged; + } + + return { + defaults: mergeProfile(base.defaults, override.defaults), + phases: Object.keys(phases).length > 0 ? phases : undefined, + }; +} + +function loadConfigSource(path: string): { config: PlannotatorConfig; warning?: string } { + const parsed = readJsonFile(path); + if (parsed.error) { + return { config: {}, warning: parsed.error }; + } + + const raw = parsed.data; + if (!isRecord(raw)) return { config: {} }; + + const config: PlannotatorConfig = {}; + if ("defaults" in raw) config.defaults = normalizeProfile(raw.defaults); + + if ("phases" in raw && isRecord(raw.phases)) { + const phases: Partial> = {}; + for (const phase of PHASES) { + const normalized = normalizeProfile(raw.phases[phase]); + if (normalized !== undefined) phases[phase] = normalized; + } + if (Object.keys(phases).length > 0) config.phases = phases; + } + + return { config }; +} + +export function loadPlannotatorConfig(cwd: string): LoadedPlannotatorConfig { + const warnings: string[] = []; + + const internal = loadConfigSource(INTERNAL_CONFIG_PATH); + if (internal.warning) warnings.push(internal.warning); + + const globalPath = join(getAgentConfigDir(), "plannotator.json"); + const globalConfig = loadConfigSource(globalPath); + if (globalConfig.warning) warnings.push(globalConfig.warning); + + const projectPath = join(cwd, ".pi", "plannotator.json"); + const projectConfig = loadConfigSource(projectPath); + if (projectConfig.warning) warnings.push(projectConfig.warning); + + const merged = mergeConfig(mergeConfig(internal.config, globalConfig.config), projectConfig.config); + return { config: merged, warnings }; +} + +export function resolvePhaseProfile(config: PlannotatorConfig, phase: PhaseName): ResolvedPhaseProfile { + const defaults = config.defaults ?? {}; + const phaseConfig = config.phases?.[phase] ?? {}; + + return { + model: resolveModel(defaults.model, phaseConfig.model), + thinking: resolveThinking(defaults.thinking, phaseConfig.thinking), + activeTools: resolveTools(defaults.activeTools, phaseConfig.activeTools), + statusLabel: resolveString(defaults.statusLabel, phaseConfig.statusLabel), + systemPrompt: resolveString(defaults.systemPrompt, phaseConfig.systemPrompt), + }; +} + +function resolveModel(base: PhaseModelRef | null | undefined, override: PhaseModelRef | null | undefined): PhaseModelRef | undefined { + if (override !== undefined) { + return override ?? undefined; + } + return base ?? undefined; +} + +function resolveThinking(base: ThinkingLevel | null | undefined, override: ThinkingLevel | null | undefined): ThinkingLevel | undefined { + if (override !== undefined) { + return override ?? undefined; + } + return base ?? undefined; +} + +function resolveTools(base: string[] | null | undefined, override: string[] | null | undefined): string[] | undefined { + if (override !== undefined) { + if (override === null) return []; + return [...override]; + } + if (base === null) return []; + return base ? [...base] : undefined; +} + +function resolveString(base: string | null | undefined, override: string | null | undefined): string | undefined { + if (override !== undefined) { + if (override === null || override === "") return undefined; + return override; + } + return base ?? undefined; +} + +export function buildPromptVariables(options: { + planFilePath: string; + phase: RuntimePhase; + totalCount: number; + completedCount: number; + remainingCount?: number; + todoList?: string; +}): PromptVariables { + const totalCount = options.totalCount; + const completedCount = options.completedCount; + const remainingCount = options.remainingCount ?? Math.max(totalCount - completedCount, 0); + + return { + planFilePath: options.planFilePath, + todoList: options.todoList ?? "", + completedCount, + totalCount, + remainingCount, + phase: options.phase, + }; +} + +export function renderTemplate(template: string, vars: PromptVariables): PromptRenderResult { + const unknownVariables = new Set(); + const text = template.replace(/\$\{([a-zA-Z0-9_]+)\}/g, (_match, key: string) => { + if (key in vars) { + const value = vars[key as keyof PromptVariables]; + return value === undefined || value === null ? "" : String(value); + } + unknownVariables.add(key); + return ""; + }); + + return { text, unknownVariables: [...unknownVariables] }; +} + +export function formatTodoList(items: Array<{ step: number; text: string; completed: boolean }>): { + todoList: string; + completedCount: number; + totalCount: number; + remainingCount: number; +} { + const totalCount = items.length; + const completedCount = items.filter((item) => item.completed).length; + const remainingItems = items.filter((item) => !item.completed); + const todoList = remainingItems.length + ? remainingItems.map((item) => `- [ ] ${item.step}. ${item.text}`).join("\n") + : ""; + + return { + todoList, + completedCount, + totalCount, + remainingCount: remainingItems.length, + }; +} diff --git a/extensions/plannotator/current-pi-session.ts b/extensions/plannotator/current-pi-session.ts new file mode 100644 index 0000000..47b7e55 --- /dev/null +++ b/extensions/plannotator/current-pi-session.ts @@ -0,0 +1,147 @@ +import type { ExtensionAPI, ExtensionContext } from "@mariozechner/pi-coding-agent"; + +type SendUserMessageContent = Parameters[0]; +type SendUserMessageOptions = Parameters[1]; +type NotificationType = "info" | "warning" | "error"; + +type CurrentPiSession = { + token: symbol; + sendUserMessage: (content: SendUserMessageContent, options?: SendUserMessageOptions) => void; + notify?: (message: string, type?: NotificationType) => void; + identity?: PiSessionIdentity; +}; + +type CurrentPiSessionStore = { + current?: CurrentPiSession; +}; + +type PlannotatorGlobal = typeof globalThis & { + __plannotatorCurrentPiSession?: CurrentPiSessionStore; +}; + +export type CurrentPiSessionRegistration = { + token: symbol; + update: (ctx: ExtensionContext) => void; + clear: () => void; +}; + +export type PiSessionIdentity = { + sessionId?: string; + sessionFile?: string; + sessionName?: string; + cwd?: string; +}; + +const globalStore = globalThis as PlannotatorGlobal; + +function getStore(): CurrentPiSessionStore { + globalStore.__plannotatorCurrentPiSession ??= {}; + return globalStore.__plannotatorCurrentPiSession; +} + +function getErrorMessage(err: unknown): string { + return err instanceof Error ? err.message : String(err); +} + +export function getPiSessionIdentity(ctx: ExtensionContext): PiSessionIdentity { + return { + sessionId: ctx.sessionManager.getSessionId(), + sessionFile: ctx.sessionManager.getSessionFile(), + sessionName: ctx.sessionManager.getSessionName(), + cwd: ctx.cwd, + }; +} + +function isDifferentSession(origin: PiSessionIdentity, current: PiSessionIdentity | undefined): boolean { + if (!current) return false; + if (origin.sessionId && current.sessionId) return origin.sessionId !== current.sessionId; + if (origin.sessionFile && current.sessionFile) return origin.sessionFile !== current.sessionFile; + return false; +} + +function setCurrentPiSession(token: symbol, pi: ExtensionAPI, ctx?: ExtensionContext): void { + const current: CurrentPiSession = { + token, + sendUserMessage: (content, options) => { + pi.sendUserMessage(content, options); + }, + }; + if (ctx) { + current.notify = (message, type = "info") => { + ctx.ui.notify(message, type); + }; + current.identity = getPiSessionIdentity(ctx); + } + getStore().current = current; +} + +export function registerCurrentPiSession(pi: ExtensionAPI): CurrentPiSessionRegistration { + const token = Symbol("plannotator-current-pi-session"); + setCurrentPiSession(token, pi); + return { + token, + update: (ctx) => { + setCurrentPiSession(token, pi, ctx); + }, + clear: () => { + const store = getStore(); + if (store.current?.token === token) { + store.current = undefined; + } + }, + }; +} + +export function notifyCurrentPiSession( + message: string, + type: NotificationType = "info", + origin?: PiSessionIdentity, +): boolean { + const current = getStore().current; + if (!current?.notify) return false; + if (origin && !isDifferentSession(origin, current.identity)) return false; + try { + current.notify(message, type); + return true; + } catch (err) { + console.error(`Plannotator current-session notification failed: ${getErrorMessage(err)}`); + return false; + } +} + +export function isCurrentPiSessionDifferentFrom(origin: PiSessionIdentity): boolean { + return isDifferentSession(origin, getStore().current?.identity); +} + +function getCurrentPiSessionLabel(): string { + const identity = getStore().current?.identity; + if (!identity) return "unknown"; + return identity.sessionName || identity.sessionFile || identity.sessionId || "current active Pi session"; +} + +export function withCurrentPiSessionFallbackHeader(content: SendUserMessageContent): SendUserMessageContent { + if (typeof content !== "string") return content; + return `This Plannotator feedback was submitted from a browser tab opened before Pi switched sessions. It is being delivered to ${getCurrentPiSessionLabel()} because the original Pi session is no longer active. + +${content}`; +} + +export function sendUserMessageToCurrentPiSession( + content: SendUserMessageContent, + options?: SendUserMessageOptions, + origin?: PiSessionIdentity, +): { ok: true } | { ok: false; reason: "no-current" | "same-session" | "send-failed"; error: unknown } { + const current = getStore().current; + if (!current) { + return { ok: false, reason: "no-current", error: new Error("No active Pi session is available.") }; + } + if (origin && !isDifferentSession(origin, current.identity)) { + return { ok: false, reason: "same-session", error: new Error("No different active Pi session is available.") }; + } + try { + current.sendUserMessage(content, options); + return { ok: true }; + } catch (err) { + return { ok: false, reason: "send-failed", error: err }; + } +} diff --git a/extensions/plannotator/generated/agent-jobs.ts b/extensions/plannotator/generated/agent-jobs.ts new file mode 100644 index 0000000..0fd072d --- /dev/null +++ b/extensions/plannotator/generated/agent-jobs.ts @@ -0,0 +1,133 @@ +// @generated — DO NOT EDIT. Source: packages/shared/agent-jobs.ts +/** + * Agent Jobs — shared types, state machine, and SSE helpers. + * + * Runtime-agnostic: no node:fs, no node:http, no Bun APIs. + * Both the Bun server handler and (future) Node handler import + * this module and wrap it with their respective HTTP transport layers. + * + * Mirrors packages/shared/external-annotation.ts in structure. + */ + +// --------------------------------------------------------------------------- +// Types +// --------------------------------------------------------------------------- + +export type AgentJobStatus = "starting" | "running" | "done" | "failed" | "killed"; + +/** + * Snapshot of the diff the reviewer was looking at when this job was launched. + * Carried on the job so downstream UIs (agent-result panel "Copy All") export + * the same `**Diff:** ...` header the job was actually run against — if the + * reviewer switches the UI to a different diff afterwards, the job's snapshot + * still reflects truth. Structurally compatible with the UI-side + * `FeedbackDiffContext` in `packages/review-editor/utils/exportFeedback.ts`. + */ +export interface AgentJobDiffContext { + mode: string; + base?: string; + worktreePath?: string | null; +} + +export interface AgentJobInfo { + /** Unique job identifier (UUID). */ + id: string; + /** Source identifier for external annotations — "agent-{id prefix}". */ + source: string; + /** Provider that spawned this job — "claude", "codex", "tour", "shell", etc. */ + provider: string; + /** Underlying engine used (e.g., "claude" or "codex"). Set when provider is "tour". */ + engine?: string; + /** Model used (e.g., "sonnet", "opus"). Set when provider is "tour" with Claude engine. */ + model?: string; + /** Claude --effort level (e.g., "low", "medium", "high", "xhigh", "max"). */ + effort?: string; + /** Codex reasoning effort level (e.g., "high", "medium"). */ + reasoningEffort?: string; + /** Whether Codex fast mode (service_tier=fast) was enabled. */ + fastMode?: boolean; + /** Human-readable label for the job. */ + label: string; + /** Current lifecycle status. */ + status: AgentJobStatus; + /** Timestamp when the job was created. */ + startedAt: number; + /** Timestamp when the job reached a terminal state. */ + endedAt?: number; + /** Process exit code (set on done/failed). */ + exitCode?: number; + /** Last ~500 chars of stderr on failure. */ + error?: string; + /** The actual command that was spawned (for display/debug). */ + command: string[]; + /** Working directory where the process was spawned. */ + cwd?: string; + /** The review prompt text (system + user message). Stored separately from command for providers that use stdin. */ + prompt?: string; + /** Review summary set by the agent on completion. */ + summary?: { + correctness: string; + explanation: string; + confidence: number; + }; + /** PR URL at launch time — used to attribute findings to the correct PR. */ + prUrl?: string; + /** PR diff scope at launch time — "layer" or "full-stack". */ + diffScope?: string; + /** Diff context at launch time (see AgentJobDiffContext). */ + diffContext?: AgentJobDiffContext; +} + +export interface AgentCapability { + id: string; + name: string; + available: boolean; +} + +export interface AgentCapabilities { + mode: "plan" | "review" | "annotate"; + providers: AgentCapability[]; + /** True if at least one provider is available. */ + available: boolean; +} + +// --------------------------------------------------------------------------- +// SSE event types +// --------------------------------------------------------------------------- + +export type AgentJobEvent = + | { type: "snapshot"; jobs: AgentJobInfo[] } + | { type: "job:started"; job: AgentJobInfo } + | { type: "job:updated"; job: AgentJobInfo } + | { type: "job:completed"; job: AgentJobInfo } + | { type: "job:log"; jobId: string; delta: string } + | { type: "jobs:cleared" }; + +// --------------------------------------------------------------------------- +// SSE helpers +// --------------------------------------------------------------------------- + +/** Heartbeat comment to keep SSE connections alive (sent every 30s). */ +export const AGENT_HEARTBEAT_COMMENT = ":\n\n"; + +/** Interval in ms between heartbeat comments. */ +export const AGENT_HEARTBEAT_INTERVAL_MS = 30_000; + +/** Encode an event as an SSE `data:` line. */ +export function serializeAgentSSEEvent(event: AgentJobEvent): string { + return `data: ${JSON.stringify(event)}\n\n`; +} + +// --------------------------------------------------------------------------- +// Helpers +// --------------------------------------------------------------------------- + +/** Check if a status is terminal (no further transitions). */ +export function isTerminalStatus(status: AgentJobStatus): boolean { + return status === "done" || status === "failed" || status === "killed"; +} + +/** Generate the source identifier for a job from its ID. */ +export function jobSource(id: string): string { + return "agent-" + id.slice(0, 8); +} diff --git a/extensions/plannotator/generated/ai/base-session.ts b/extensions/plannotator/generated/ai/base-session.ts new file mode 100644 index 0000000..016cc1b --- /dev/null +++ b/extensions/plannotator/generated/ai/base-session.ts @@ -0,0 +1,95 @@ +// @generated — DO NOT EDIT. Source: packages/ai/base-session.ts +/** + * Shared session base class — extracts the common lifecycle, abort, and + * ID-resolution logic that every AIProvider session needs. + * + * Concrete providers extend this and implement query(). + */ + +import type { AIMessage, AISession } from "./types.ts"; + +export abstract class BaseSession implements AISession { + readonly parentSessionId: string | null; + onIdResolved?: (oldId: string, newId: string) => void; + + protected _placeholderId: string; + protected _resolvedId: string | null = null; + protected _isActive = false; + protected _currentAbort: AbortController | null = null; + protected _queryGen = 0; + protected _firstQuerySent = false; + + constructor(opts: { parentSessionId: string | null; initialId?: string }) { + this.parentSessionId = opts.parentSessionId; + this._placeholderId = opts.initialId ?? crypto.randomUUID(); + } + + get id(): string { + return this._resolvedId ?? this._placeholderId; + } + + get isActive(): boolean { + return this._isActive; + } + + // --------------------------------------------------------------------------- + // Query lifecycle helpers — call from concrete query() implementations + // --------------------------------------------------------------------------- + + /** Error message returned when a query is already active. */ + static readonly BUSY_ERROR: AIMessage = { + type: "error", + error: + "A query is already in progress. Abort the current query before sending a new one.", + code: "session_busy", + }; + + /** + * Call at the start of query(). Returns the generation number and abort + * signal, or null if the session is busy. + */ + protected startQuery(): { gen: number; signal: AbortSignal } | null { + if (this._isActive) return null; + + const gen = ++this._queryGen; + this._isActive = true; + this._currentAbort = new AbortController(); + return { gen, signal: this._currentAbort.signal }; + } + + /** + * Call in the finally block of query(). Only clears state if the + * generation matches (prevents a stale finally from clobbering a newer query). + */ + protected endQuery(gen: number): void { + if (this._queryGen === gen) { + this._isActive = false; + this._currentAbort = null; + } + } + + /** + * Call when the provider resolves the real session ID from the backend. + * Fires the onIdResolved callback so the SessionManager can remap its key. + */ + protected resolveId(newId: string): void { + if (this._resolvedId) return; // Already resolved + const oldId = this._placeholderId; + this._resolvedId = newId; + this.onIdResolved?.(oldId, newId); + } + + /** + * Abort the current in-flight query. Subclasses should call super.abort() + * after any provider-specific cleanup. + */ + abort(): void { + if (this._currentAbort) { + this._currentAbort.abort(); + this._isActive = false; + this._currentAbort = null; + } + } + + abstract query(prompt: string): AsyncIterable; +} diff --git a/extensions/plannotator/generated/ai/context.ts b/extensions/plannotator/generated/ai/context.ts new file mode 100644 index 0000000..e62df61 --- /dev/null +++ b/extensions/plannotator/generated/ai/context.ts @@ -0,0 +1,212 @@ +// @generated — DO NOT EDIT. Source: packages/ai/context.ts +/** + * Context builders — translate Plannotator review state into system prompts + * that give the AI session the right background for answering questions. + * + * These are provider-agnostic: any AIProvider implementation can use them + * to build the system prompt it needs. + */ + +import type { AIContext } from "./types.ts"; + +// --------------------------------------------------------------------------- +// Public API +// --------------------------------------------------------------------------- + +/** + * Build a system prompt from the given context. + * + * The prompt tells the AI: + * - What role it plays (plan reviewer, code reviewer, etc.) + * - The content it should reference (plan markdown, diff patch, file) + * - Any annotations the user has already made + * - That it's operating inside Plannotator (not a general coding session) + */ +export function buildSystemPrompt(ctx: AIContext): string { + switch (ctx.mode) { + case "plan-review": + return buildPlanReviewPrompt(ctx); + case "code-review": + return buildCodeReviewPrompt(ctx); + case "annotate": + return buildAnnotatePrompt(ctx); + } +} + +/** + * Build a compact context summary suitable for injecting into a fork prompt. + * + * When forking from a parent session, we don't need a full system prompt + * (the parent's history already provides context). Instead, we inject a + * short "you are now in Plannotator" preamble with the relevant content. + */ +export function buildForkPreamble(ctx: AIContext): string { + const lines: string[] = [ + "The user is now reviewing your work in Plannotator and has a question.", + "Answer concisely based on the conversation history and the context below.", + "", + ]; + + switch (ctx.mode) { + case "plan-review": { + lines.push("## Current Plan Under Review"); + lines.push(""); + lines.push(truncate(ctx.plan.plan, MAX_PLAN_CHARS)); + if (ctx.plan.annotations) { + lines.push(""); + lines.push("## User Annotations So Far"); + lines.push(ctx.plan.annotations); + } + break; + } + case "code-review": { + if (ctx.review.filePath) { + lines.push(`## Reviewing: ${ctx.review.filePath}`); + } + if (ctx.review.selectedCode) { + lines.push(""); + lines.push("### Selected Code"); + lines.push("```"); + lines.push(ctx.review.selectedCode); + lines.push("```"); + } + if (ctx.review.lineRange) { + const { start, end, side } = ctx.review.lineRange; + lines.push(`Lines ${start}-${end} (${side} side)`); + } + lines.push(""); + lines.push("## Diff Patch"); + lines.push("```diff"); + lines.push(truncate(ctx.review.patch, MAX_DIFF_CHARS)); + lines.push("```"); + if (ctx.review.annotations) { + lines.push(""); + lines.push("## User Annotations So Far"); + lines.push(ctx.review.annotations); + } + break; + } + case "annotate": { + lines.push(`## Annotating: ${ctx.annotate.filePath}`); + lines.push(""); + lines.push(truncate(ctx.annotate.content, MAX_PLAN_CHARS)); + if (ctx.annotate.annotations) { + lines.push(""); + lines.push("## User Annotations So Far"); + lines.push(ctx.annotate.annotations); + } + break; + } + } + + return lines.join("\n"); +} + +/** + * Build the effective prompt for a query, prepending a preamble on the first + * message. Used by providers that inject context via the prompt itself (Codex, + * Pi) rather than a separate system-prompt channel (Claude). + */ +export function buildEffectivePrompt( + userPrompt: string, + preamble: string | null, + firstQuerySent: boolean, +): string { + if (!firstQuerySent && preamble) { + return `${preamble}\n\n---\n\nUser question: ${userPrompt}`; + } + return userPrompt; +} + +// --------------------------------------------------------------------------- +// Internals +// --------------------------------------------------------------------------- + +const MAX_PLAN_CHARS = 60_000; +const MAX_DIFF_CHARS = 40_000; + +function truncate(text: string, max: number): string { + if (text.length <= max) return text; + return `${text.slice(0, max)}\n\n... [truncated for context window]`; +} + +function buildPlanReviewPrompt( + ctx: Extract +): string { + const sections: string[] = [ + "The user is reviewing an implementation plan in Plannotator.", + "", + "## Plan Under Review", + "", + truncate(ctx.plan.plan, MAX_PLAN_CHARS), + ]; + + if (ctx.plan.previousPlan) { + sections.push(""); + sections.push("## Previous Plan Version (for reference)"); + sections.push(truncate(ctx.plan.previousPlan, MAX_PLAN_CHARS / 2)); + } + + if (ctx.plan.annotations) { + sections.push(""); + sections.push("## User Annotations"); + sections.push(ctx.plan.annotations); + } + + return sections.join("\n"); +} + +function buildCodeReviewPrompt( + ctx: Extract +): string { + const sections: string[] = [ + "The user is reviewing a code diff in Plannotator.", + ]; + + if (ctx.review.filePath) { + sections.push(""); + sections.push(`## Currently Viewing: ${ctx.review.filePath}`); + } + + if (ctx.review.selectedCode) { + sections.push(""); + sections.push("## Selected Code"); + sections.push("```"); + sections.push(ctx.review.selectedCode); + sections.push("```"); + } + + sections.push(""); + sections.push("## Diff"); + sections.push("```diff"); + sections.push(truncate(ctx.review.patch, MAX_DIFF_CHARS)); + sections.push("```"); + + if (ctx.review.annotations) { + sections.push(""); + sections.push("## User Annotations"); + sections.push(ctx.review.annotations); + } + + return sections.join("\n"); +} + +function buildAnnotatePrompt( + ctx: Extract +): string { + const sections: string[] = [ + "The user is annotating a markdown document in Plannotator.", + "", + `## Document: ${ctx.annotate.filePath}`, + "", + truncate(ctx.annotate.content, MAX_PLAN_CHARS), + ]; + + if (ctx.annotate.annotations) { + sections.push(""); + sections.push("## User Annotations"); + sections.push(ctx.annotate.annotations); + } + + return sections.join("\n"); +} diff --git a/extensions/plannotator/generated/ai/endpoints.ts b/extensions/plannotator/generated/ai/endpoints.ts new file mode 100644 index 0000000..c0031dd --- /dev/null +++ b/extensions/plannotator/generated/ai/endpoints.ts @@ -0,0 +1,309 @@ +// @generated — DO NOT EDIT. Source: packages/ai/endpoints.ts +/** + * HTTP endpoint handlers for AI features. + * + * These handlers are provider-agnostic — they work with whatever AIProvider + * is registered in the provided ProviderRegistry. They're designed to be + * mounted into any Plannotator server (plan review, code review, annotate). + * + * Endpoints: + * POST /api/ai/session — Create or fork an AI session + * POST /api/ai/query — Send a message and stream the response + * POST /api/ai/abort — Abort the current query + * GET /api/ai/sessions — List active sessions + * GET /api/ai/capabilities — Check if AI features are available + */ + +import type { AIContext, AIMessage, CreateSessionOptions } from "./types.ts"; +import type { ProviderRegistry } from "./provider.ts"; +import type { SessionManager } from "./session-manager.ts"; + +// --------------------------------------------------------------------------- +// Types for request/response +// --------------------------------------------------------------------------- + +export interface CreateSessionRequest { + /** The context mode and content for the session. */ + context: AIContext; + /** Instance ID of the provider to use (optional — uses default if omitted). */ + providerId?: string; + /** Optional model override. */ + model?: string; + /** Max agentic turns. */ + maxTurns?: number; + /** Max budget in USD. */ + maxBudgetUsd?: number; + /** Reasoning effort (Codex only). */ + reasoningEffort?: "minimal" | "low" | "medium" | "high" | "xhigh"; +} + +export interface QueryRequest { + /** The session ID to query. */ + sessionId: string; + /** The user's prompt/question. */ + prompt: string; + /** Optional context update (e.g., new annotations since session was created). */ + contextUpdate?: string; +} + +export interface AbortRequest { + /** The session ID to abort. */ + sessionId: string; +} + +// --------------------------------------------------------------------------- +// Handler factory +// --------------------------------------------------------------------------- + +export interface AIEndpointDeps { + /** Provider registry (one per server or shared). */ + registry: ProviderRegistry; + /** Session manager instance (one per server). */ + sessionManager: SessionManager; + /** Resolve the current working directory for new AI sessions. */ + getCwd?: () => string; +} + +/** + * Create the route handler map for AI endpoints. + * + * Usage in a Bun server: + * ```ts + * const aiHandlers = createAIEndpoints({ registry, sessionManager }); + * + * // In your request handler: + * if (url.pathname.startsWith('/api/ai/')) { + * const handler = aiHandlers[url.pathname]; + * if (handler) return handler(req); + * } + * ``` + */ +export function createAIEndpoints(deps: AIEndpointDeps) { + const { registry, sessionManager, getCwd } = deps; + + return { + "/api/ai/capabilities": async (_req: Request) => { + const defaultEntry = registry.getDefault(); + const providerDetails = registry.list().map(id => { + const p = registry.get(id)!; + return { + id, + name: p.name, + capabilities: p.capabilities, + models: p.models ?? [], + }; + }); + return Response.json({ + available: !!defaultEntry, + providers: providerDetails, + defaultProvider: defaultEntry?.id ?? null, + }); + }, + + "/api/ai/session": async (req: Request) => { + if (req.method !== "POST") { + return new Response("Method not allowed", { status: 405 }); + } + + const body = (await req.json()) as CreateSessionRequest; + const { context, providerId, model, maxTurns, maxBudgetUsd, reasoningEffort } = body; + + if (!context?.mode) { + return Response.json( + { error: "Missing context.mode" }, + { status: 400 } + ); + } + + // Resolve provider: by ID, or default + const provider = providerId + ? registry.get(providerId) + : registry.getDefault()?.provider; + + if (!provider) { + return Response.json( + { error: providerId ? `Provider "${providerId}" not found` : "No AI provider available" }, + { status: 503 } + ); + } + + try { + const options: CreateSessionOptions = { + context, + cwd: getCwd?.(), + model, + maxTurns, + maxBudgetUsd, + reasoningEffort, + }; + + // Fork if parent session is provided AND provider supports it. + // Providers that can't fork (e.g. Codex) fall back to a fresh + // session with the full system prompt — no fake history. + const shouldFork = context.parent && provider.capabilities.fork; + const session = shouldFork + ? await provider.forkSession(options) + : await provider.createSession(options); + + const entry = sessionManager.track(session, context.mode); + + return Response.json({ + sessionId: session.id, + parentSessionId: session.parentSessionId, + mode: context.mode, + createdAt: entry.createdAt, + }); + } catch (err) { + return Response.json( + { + error: + err instanceof Error ? err.message : "Failed to create session", + }, + { status: 500 } + ); + } + }, + + "/api/ai/query": async (req: Request) => { + if (req.method !== "POST") { + return new Response("Method not allowed", { status: 405 }); + } + + const body = (await req.json()) as QueryRequest; + const { sessionId, prompt, contextUpdate } = body; + + if (!sessionId || !prompt) { + return Response.json( + { error: "Missing sessionId or prompt" }, + { status: 400 } + ); + } + + const entry = sessionManager.get(sessionId); + if (!entry) { + return Response.json( + { error: "Session not found" }, + { status: 404 } + ); + } + + sessionManager.touch(sessionId); + + // If context update provided, prepend it to the prompt + const effectivePrompt = contextUpdate + ? `[Context update: the user has made changes since this conversation started]\n${contextUpdate}\n\n${prompt}` + : prompt; + + // Set label from first query if not already set + if (!entry.label) { + entry.label = prompt.slice(0, 80); + } + + // Stream the response using Server-Sent Events (SSE) + const encoder = new TextEncoder(); + const stream = new ReadableStream({ + async start(controller) { + try { + for await (const message of entry.session.query(effectivePrompt)) { + const data = JSON.stringify(message); + controller.enqueue( + encoder.encode(`data: ${data}\n\n`) + ); + } + controller.enqueue(encoder.encode("data: [DONE]\n\n")); + } catch (err) { + const errorMsg: AIMessage = { + type: "error", + error: err instanceof Error ? err.message : String(err), + code: "stream_error", + }; + controller.enqueue( + encoder.encode(`data: ${JSON.stringify(errorMsg)}\n\n`) + ); + } finally { + controller.close(); + } + }, + }); + + return new Response(stream, { + headers: { + "Content-Type": "text/event-stream", + "Cache-Control": "no-cache", + Connection: "keep-alive", + }, + }); + }, + + "/api/ai/abort": async (req: Request) => { + if (req.method !== "POST") { + return new Response("Method not allowed", { status: 405 }); + } + + const body = (await req.json()) as AbortRequest; + const entry = sessionManager.get(body.sessionId); + if (!entry) { + return Response.json( + { error: "Session not found" }, + { status: 404 } + ); + } + + entry.session.abort(); + return Response.json({ ok: true }); + }, + + "/api/ai/permission": async (req: Request) => { + if (req.method !== "POST") { + return new Response("Method not allowed", { status: 405 }); + } + + const body = (await req.json()) as { + sessionId: string; + requestId: string; + allow: boolean; + message?: string; + }; + + if (!body.sessionId || !body.requestId) { + return Response.json( + { error: "Missing sessionId or requestId" }, + { status: 400 } + ); + } + + const entry = sessionManager.get(body.sessionId); + if (!entry) { + return Response.json( + { error: "Session not found" }, + { status: 404 } + ); + } + + entry.session.respondToPermission?.( + body.requestId, + body.allow, + body.message + ); + + return Response.json({ ok: true }); + }, + + "/api/ai/sessions": async (_req: Request) => { + const entries = sessionManager.list(); + return Response.json( + entries.map((e) => ({ + sessionId: e.session.id, + mode: e.mode, + parentSessionId: e.parentSessionId, + createdAt: e.createdAt, + lastActiveAt: e.lastActiveAt, + isActive: e.session.isActive, + label: e.label, + })) + ); + }, + } as const; +} + +export type AIEndpoints = ReturnType; diff --git a/extensions/plannotator/generated/ai/index.ts b/extensions/plannotator/generated/ai/index.ts new file mode 100644 index 0000000..847c666 --- /dev/null +++ b/extensions/plannotator/generated/ai/index.ts @@ -0,0 +1,106 @@ +// @generated — DO NOT EDIT. Source: packages/ai/index.ts +/** + * @plannotator/ai — AI provider layer for Plannotator. + * + * This package provides the backbone for AI-powered features (inline chat, + * plan Q&A, code review assistance) across all Plannotator surfaces. + * + * Architecture: + * + * ┌─────────────────┐ ┌──────────────┐ + * │ Plan Review UI │────▶│ │ + * ├─────────────────┤ │ AI Endpoints │──▶ SSE stream + * │ Code Review UI │────▶│ (HTTP) │ + * ├─────────────────┤ │ │ + * │ Annotate UI │────▶└──────┬───────┘ + * └─────────────────┘ │ + * ▼ + * ┌────────────────┐ + * │ Session Manager │ + * └────────┬───────┘ + * │ + * ┌────────▼───────┐ + * │ AIProvider │ (abstract) + * └────────┬───────┘ + * │ + * ┌─────────────┼──────────────┐ + * ▼ ▼ ▼ + * ┌──────────────┐ ┌──────────┐ ┌───────────┐ + * │ Claude Agent │ │ OpenCode │ │ Future │ + * │ SDK Provider │ │ Provider │ │ Providers │ + * └──────────────┘ └──────────┘ └───────────┘ + * + * Quick start: + * + * ```ts + * import "@plannotator/ai/providers/claude-agent-sdk"; + * import { ProviderRegistry, createProvider, createAIEndpoints, SessionManager } from "@plannotator/ai"; + * + * // 1. Create a registry and provider + * const registry = new ProviderRegistry(); + * const provider = await createProvider({ type: "claude-agent-sdk", cwd: process.cwd() }); + * registry.register(provider); + * + * // 2. Create endpoints and session manager + * const sessionManager = new SessionManager(); + * const aiEndpoints = createAIEndpoints({ registry, sessionManager }); + * + * // 3. Mount endpoints in your Bun server + * // aiEndpoints["/api/ai/query"](request) → SSE Response + * ``` + */ + +// Types +export type { + AIProvider, + AIProviderCapabilities, + AIProviderConfig, + AISession, + AIMessage, + AITextMessage, + AITextDeltaMessage, + AIToolUseMessage, + AIToolResultMessage, + AIErrorMessage, + AIResultMessage, + AIPermissionRequestMessage, + AIUnknownMessage, + AIContext, + AIContextMode, + PlanContext, + CodeReviewContext, + AnnotateContext, + ParentSession, + CreateSessionOptions, + ClaudeAgentSDKConfig, + CodexSDKConfig, + PiSDKConfig, + OpenCodeConfig, +} from "./types.ts"; + +// Provider registry +export { + ProviderRegistry, + registerProviderFactory, + createProvider, +} from "./provider.ts"; + +// Context builders +export { buildSystemPrompt, buildForkPreamble, buildEffectivePrompt } from "./context.ts"; + +// Base session +export { BaseSession } from "./base-session.ts"; + +// Session manager +export { SessionManager } from "./session-manager.ts"; +export type { SessionEntry, SessionManagerOptions } from "./session-manager.ts"; + +// HTTP endpoints +export { createAIEndpoints } from "./endpoints.ts"; +export type { + AIEndpoints, + AIEndpointDeps, + CreateSessionRequest, + QueryRequest, + AbortRequest, +} from "./endpoints.ts"; diff --git a/extensions/plannotator/generated/ai/provider.ts b/extensions/plannotator/generated/ai/provider.ts new file mode 100644 index 0000000..17bf13e --- /dev/null +++ b/extensions/plannotator/generated/ai/provider.ts @@ -0,0 +1,104 @@ +// @generated — DO NOT EDIT. Source: packages/ai/provider.ts +/** + * Provider registry — manages AI provider instances. + * + * Supports multiple instances of the same provider type (e.g., two Claude + * Agent SDK providers with different configs) keyed by instance ID. + * + * Each server (plan review, code review, annotate) should create its own + * ProviderRegistry or share one — no module-level global state. + */ + +import type { AIProvider, AIProviderConfig } from "./types.ts"; + +// --------------------------------------------------------------------------- +// Factory registry (global — factories are stateless type→constructor maps) +// --------------------------------------------------------------------------- + +type ProviderFactory = (config: AIProviderConfig) => Promise; +const factories = new Map(); + +/** Register a factory function for a provider type. */ +export function registerProviderFactory( + type: string, + factory: ProviderFactory +): void { + factories.set(type, factory); +} + +/** Create a provider from config using a registered factory. Does NOT auto-register. */ +export async function createProvider( + config: AIProviderConfig +): Promise { + const factory = factories.get(config.type); + if (!factory) { + throw new Error( + `No AI provider factory registered for type "${config.type}". ` + + `Available: ${[...factories.keys()].join(", ") || "(none)"}` + ); + } + return factory(config); +} + +// --------------------------------------------------------------------------- +// Registry +// --------------------------------------------------------------------------- + +export class ProviderRegistry { + private instances = new Map(); + + /** + * Register a provider instance under an ID. + * If no instanceId is provided, uses `provider.name`. + * Returns the instanceId used. + */ + register(provider: AIProvider, instanceId?: string): string { + const id = instanceId ?? provider.name; + this.instances.set(id, provider); + return id; + } + + /** Get a provider by instance ID. */ + get(instanceId: string): AIProvider | undefined { + return this.instances.get(instanceId); + } + + /** Get the first registered provider (convenience for single-provider setups). */ + getDefault(): { id: string; provider: AIProvider } | undefined { + const first = this.instances.entries().next(); + if (first.done) return undefined; + return { id: first.value[0], provider: first.value[1] }; + } + + /** Get all instances of a given provider type (by provider.name). */ + getByType(typeName: string): AIProvider[] { + return [...this.instances.values()].filter((p) => p.name === typeName); + } + + /** List all instance IDs. */ + list(): string[] { + return [...this.instances.keys()]; + } + + /** Dispose and remove a single instance. No-op if not found. */ + dispose(instanceId: string): void { + const provider = this.instances.get(instanceId); + if (provider) { + provider.dispose(); + this.instances.delete(instanceId); + } + } + + /** Dispose all providers and clear the registry. */ + disposeAll(): void { + for (const provider of this.instances.values()) { + provider.dispose(); + } + this.instances.clear(); + } + + /** Number of registered instances. */ + get size(): number { + return this.instances.size; + } +} diff --git a/extensions/plannotator/generated/ai/providers/claude-agent-sdk.ts b/extensions/plannotator/generated/ai/providers/claude-agent-sdk.ts new file mode 100644 index 0000000..91c563b --- /dev/null +++ b/extensions/plannotator/generated/ai/providers/claude-agent-sdk.ts @@ -0,0 +1,445 @@ +// @generated — DO NOT EDIT. Source: packages/ai/providers/claude-agent-sdk.ts +/** + * Claude Agent SDK provider — the first concrete AIProvider implementation. + * + * Uses @anthropic-ai/claude-agent-sdk to create sessions that can: + * - Start fresh with Plannotator context as the system prompt + * - Fork from a parent Claude Code session (preserving full history) + * - Resume a previous Plannotator inline chat session + * - Stream text deltas back to the UI in real time + * + * Sessions are read-only by default (tools limited to Read, Glob, Grep) + * to keep inline chat safe and cost-bounded. + */ + +import { buildSystemPrompt, buildForkPreamble, buildEffectivePrompt } from "../context.ts"; +import { BaseSession } from "../base-session.ts"; +import type { + AIProvider, + AIProviderCapabilities, + AISession, + AIMessage, + CreateSessionOptions, + ClaudeAgentSDKConfig, +} from "../types.ts"; + +// --------------------------------------------------------------------------- +// Constants +// --------------------------------------------------------------------------- + +const PROVIDER_NAME = "claude-agent-sdk"; + +/** Default read-only tools for inline chat. */ +const DEFAULT_ALLOWED_TOOLS = ["Read", "Glob", "Grep", "WebSearch"]; + +const DEFAULT_MAX_TURNS = 99; +const DEFAULT_MODEL = "claude-sonnet-4-6"; + +// --------------------------------------------------------------------------- +// SDK query options — typed to catch typos at compile time +// --------------------------------------------------------------------------- + +interface ClaudeSDKQueryOptions { + model: string; + maxTurns: number; + allowedTools: string[]; + cwd: string; + abortController: AbortController; + includePartialMessages: boolean; + persistSession: boolean; + maxBudgetUsd?: number; + systemPrompt?: string | { type: "preset"; preset: string; append?: string }; + resume?: string; + forkSession?: boolean; + permissionMode?: ClaudeAgentSDKConfig['permissionMode']; + allowDangerouslySkipPermissions?: boolean; + pathToClaudeCodeExecutable?: string; + settingSources?: string[]; +} + +// --------------------------------------------------------------------------- +// Provider +// --------------------------------------------------------------------------- + +export class ClaudeAgentSDKProvider implements AIProvider { + readonly name = PROVIDER_NAME; + readonly capabilities: AIProviderCapabilities = { + fork: true, + resume: true, + streaming: true, + tools: true, + }; + readonly models = [ + { id: 'claude-sonnet-4-6', label: 'Sonnet 4.6', default: true }, + { id: 'claude-sonnet-4-6[1m]', label: 'Sonnet 4.6 (1M)' }, + { id: 'claude-opus-4-7', label: 'Opus 4.7' }, + { id: 'claude-opus-4-7[1m]', label: 'Opus 4.7 (1M)' }, + { id: 'claude-opus-4-6', label: 'Opus 4.6' }, + { id: 'claude-opus-4-6[1m]', label: 'Opus 4.6 (1M)' }, + { id: 'claude-haiku-4-5', label: 'Haiku 4.5' }, + ] as const; + + private config: ClaudeAgentSDKConfig; + + constructor(config: ClaudeAgentSDKConfig) { + this.config = config; + } + + async createSession(options: CreateSessionOptions): Promise { + return new ClaudeAgentSDKSession({ + ...this.baseConfig(options), + systemPrompt: buildSystemPrompt(options.context), + cwd: options.cwd ?? this.config.cwd ?? process.cwd(), + parentSessionId: null, + forkFromSession: null, + }); + } + + async forkSession(options: CreateSessionOptions): Promise { + const parent = options.context.parent; + if (!parent) { + throw new Error( + "Cannot fork: no parent session provided in context. " + + "Use createSession() for standalone sessions." + ); + } + + return new ClaudeAgentSDKSession({ + ...this.baseConfig(options), + systemPrompt: null, + forkPreamble: buildForkPreamble(options.context), + cwd: parent.cwd, + parentSessionId: parent.sessionId, + forkFromSession: parent.sessionId, + }); + } + + async resumeSession(sessionId: string): Promise { + return new ClaudeAgentSDKSession({ + ...this.baseConfig(), + systemPrompt: null, + cwd: this.config.cwd ?? process.cwd(), + parentSessionId: null, + forkFromSession: null, + resumeSessionId: sessionId, + }); + } + + dispose(): void { + // No persistent resources to clean up + } + + private baseConfig(options?: CreateSessionOptions) { + return { + model: options?.model ?? this.config.model ?? DEFAULT_MODEL, + maxTurns: options?.maxTurns ?? DEFAULT_MAX_TURNS, + maxBudgetUsd: options?.maxBudgetUsd, + allowedTools: this.config.allowedTools ?? DEFAULT_ALLOWED_TOOLS, + permissionMode: this.config.permissionMode ?? "default", + claudeExecutablePath: this.config.claudeExecutablePath, + settingSources: this.config.settingSources ?? ['user', 'project'], + }; + } +} + +// --------------------------------------------------------------------------- +// SDK import cache — resolve once, reuse across all queries +// --------------------------------------------------------------------------- + +// biome-ignore lint/suspicious/noExplicitAny: SDK types resolved at runtime via dynamic import +let sdkQueryFn: ((...args: any[]) => any) | null = null; + +async function getSDKQuery() { + if (!sdkQueryFn) { + const sdk = await import("@anthropic-ai/claude-agent-sdk"); + sdkQueryFn = sdk.query; + } + return sdkQueryFn!; +} + +// --------------------------------------------------------------------------- +// Session +// --------------------------------------------------------------------------- + +interface SessionConfig { + systemPrompt: string | null; + forkPreamble?: string; + model: string; + maxTurns: number; + maxBudgetUsd?: number; + allowedTools: string[]; + permissionMode: ClaudeAgentSDKConfig['permissionMode']; + cwd: string; + parentSessionId: string | null; + forkFromSession: string | null; + resumeSessionId?: string; + claudeExecutablePath?: string; + settingSources?: string[]; +} + +class ClaudeAgentSDKSession extends BaseSession { + private config: SessionConfig; + /** Active Query object — needed to send control responses (permission decisions) */ + private _activeQuery: { streamInput: (iter: AsyncIterable) => Promise } | null = null; + + constructor(config: SessionConfig) { + super({ + parentSessionId: config.parentSessionId, + initialId: config.resumeSessionId, + }); + this.config = config; + } + + async *query(prompt: string): AsyncIterable { + const started = this.startQuery(); + if (!started) { yield BaseSession.BUSY_ERROR; return; } + const { gen } = started; + + try { + const queryFn = await getSDKQuery(); + + const queryPrompt = buildEffectivePrompt( + prompt, + this.config.forkPreamble ?? null, + this._firstQuerySent, + ); + const options = this.buildQueryOptions(); + + const stream = queryFn({ prompt: queryPrompt, options }) as + AsyncIterable> & { streamInput: (iter: AsyncIterable) => Promise }; + this._activeQuery = stream; + + this._firstQuerySent = true; + + for await (const message of stream) { + const mapped = mapSDKMessage(message); + + // Capture the real session ID from the init message + if ( + !this._resolvedId && + "session_id" in message && + typeof message.session_id === "string" && + message.session_id + ) { + this.resolveId(message.session_id); + } + + for (const msg of mapped) { + yield msg; + } + } + } catch (err) { + yield { + type: "error", + error: err instanceof Error ? err.message : String(err), + code: "provider_error", + }; + } finally { + this.endQuery(gen); + this._activeQuery = null; + } + } + + abort(): void { + this._activeQuery = null; + super.abort(); + } + + respondToPermission(requestId: string, allow: boolean, message?: string): void { + if (!this._activeQuery || !this._activeQuery.streamInput) return; + + const response = allow + ? { type: 'control_response', response: { subtype: 'success', request_id: requestId, response: { behavior: 'allow' } } } + : { type: 'control_response', response: { subtype: 'success', request_id: requestId, response: { behavior: 'deny', message: message ?? 'User denied this action' } } }; + + this._activeQuery.streamInput( + (async function* () { yield response; })() + ).catch(() => {}); + } + + // ------------------------------------------------------------------------- + // Internal + // ------------------------------------------------------------------------- + + private buildQueryOptions(): ClaudeSDKQueryOptions { + const opts: ClaudeSDKQueryOptions = { + model: this.config.model, + maxTurns: this.config.maxTurns, + allowedTools: this.config.allowedTools, + cwd: this.config.cwd, + abortController: this._currentAbort!, + includePartialMessages: true, + persistSession: true, + ...(this.config.claudeExecutablePath && { + pathToClaudeCodeExecutable: this.config.claudeExecutablePath, + }), + ...(this.config.settingSources && { + settingSources: this.config.settingSources, + }), + }; + + if (this.config.maxBudgetUsd) { + opts.maxBudgetUsd = this.config.maxBudgetUsd; + } + + // After the first query resolves a real session ID, all subsequent + // queries must resume that session to continue the conversation. + if (this._resolvedId) { + opts.resume = this._resolvedId; + return this.applyPermissionMode(opts); + } + + // First query: use Claude Code's built-in prompt with our context appended + if (this.config.systemPrompt) { + opts.systemPrompt = { + type: "preset", + preset: "claude_code", + append: this.config.systemPrompt, + }; + } + + if (this.config.forkFromSession) { + opts.resume = this.config.forkFromSession; + opts.forkSession = true; + } + + if (this.config.resumeSessionId) { + opts.resume = this.config.resumeSessionId; + } + + return this.applyPermissionMode(opts); + } + + private applyPermissionMode(opts: ClaudeSDKQueryOptions): ClaudeSDKQueryOptions { + if (this.config.permissionMode === "bypassPermissions") { + opts.permissionMode = "bypassPermissions"; + opts.allowDangerouslySkipPermissions = true; + } else if (this.config.permissionMode === "plan") { + opts.permissionMode = "plan"; + } + return opts; + } +} + +// --------------------------------------------------------------------------- +// Message mapping +// --------------------------------------------------------------------------- + +/** + * Map an SDK message to one or more AIMessages. + * + * An SDK assistant message can contain both text and tool_use content blocks + * in a single response. We emit each block as a separate AIMessage so no + * content is dropped. + */ +function mapSDKMessage(msg: Record): AIMessage[] { + const type = msg.type as string; + + switch (type) { + case "assistant": { + const message = msg.message as Record | undefined; + if (!message) return [{ type: "unknown", raw: msg }]; + const content = message.content as Array>; + if (!content) return [{ type: "unknown", raw: msg }]; + + const messages: AIMessage[] = []; + const textParts: string[] = []; + + for (const block of content) { + if (block.type === "text" && typeof block.text === "string") { + textParts.push(block.text); + } else if (block.type === "tool_use") { + // Flush accumulated text before the tool_use block + if (textParts.length > 0) { + messages.push({ type: "text", text: textParts.join("") }); + textParts.length = 0; + } + messages.push({ + type: "tool_use", + toolName: block.name as string, + toolInput: block.input as Record, + toolUseId: block.id as string, + }); + } + } + + // Flush any remaining text after the last block + if (textParts.length > 0) { + messages.push({ type: "text", text: textParts.join("") }); + } + + return messages.length > 0 ? messages : [{ type: "unknown", raw: msg }]; + } + + case "stream_event": { + const event = msg.event as Record | undefined; + if (!event) return [{ type: "unknown", raw: msg }]; + const eventType = event.type as string; + + if (eventType === "content_block_delta") { + const delta = event.delta as Record; + if (delta?.type === "text_delta" && typeof delta.text === "string") { + return [{ type: "text_delta", delta: delta.text }]; + } + } + return [{ type: "unknown", raw: msg }]; + } + + case "user": { + // SDK wraps tool results in SDKUserMessage (type: "user") + if (msg.tool_use_result != null) { + return [{ + type: "tool_result", + result: typeof msg.tool_use_result === "string" + ? msg.tool_use_result + : JSON.stringify(msg.tool_use_result), + }]; + } + return [{ type: "unknown", raw: msg }]; + } + + case "control_request": { + const request = msg.request as Record | undefined; + if (request?.subtype === "can_use_tool") { + return [{ + type: "permission_request", + requestId: msg.request_id as string, + toolName: request.tool_name as string, + toolInput: (request.input as Record) ?? {}, + title: request.title as string | undefined, + displayName: request.display_name as string | undefined, + description: request.description as string | undefined, + toolUseId: request.tool_use_id as string, + }]; + } + return [{ type: "unknown", raw: msg }]; + } + + case "result": { + const sessionId = (msg.session_id as string) ?? ""; + const subtype = msg.subtype as string; + return [{ + type: "result", + sessionId, + success: subtype === "success", + result: (msg.result as string) ?? undefined, + costUsd: msg.total_cost_usd as number | undefined, + turns: msg.num_turns as number | undefined, + }]; + } + + default: + return [{ type: "unknown", raw: msg }]; + } +} + +// --------------------------------------------------------------------------- +// Factory registration +// --------------------------------------------------------------------------- + +import { registerProviderFactory } from "../provider.ts"; + +registerProviderFactory( + PROVIDER_NAME, + async (config) => new ClaudeAgentSDKProvider(config as ClaudeAgentSDKConfig) +); diff --git a/extensions/plannotator/generated/ai/providers/codex-sdk.ts b/extensions/plannotator/generated/ai/providers/codex-sdk.ts new file mode 100644 index 0000000..bf07b62 --- /dev/null +++ b/extensions/plannotator/generated/ai/providers/codex-sdk.ts @@ -0,0 +1,431 @@ +// @generated — DO NOT EDIT. Source: packages/ai/providers/codex-sdk.ts +/** + * Codex SDK provider — bridges Plannotator's AI layer with OpenAI's Codex agent. + * + * Uses @openai/codex-sdk to create sessions that can: + * - Start fresh with Plannotator context as the system prompt + * - Fake-fork from a parent session (fresh thread + preamble, no real history) + * - Resume a previous thread by ID + * - Stream text deltas back to the UI in real time + * + * Sessions default to read-only sandbox mode for safety in inline chat. + */ + +import { buildSystemPrompt, buildEffectivePrompt } from "../context.ts"; +import { BaseSession } from "../base-session.ts"; +import type { + AIProvider, + AIProviderCapabilities, + AISession, + AIMessage, + CreateSessionOptions, + CodexSDKConfig, +} from "../types.ts"; + +// --------------------------------------------------------------------------- +// Constants +// --------------------------------------------------------------------------- + +const PROVIDER_NAME = "codex-sdk"; +const DEFAULT_MODEL = "gpt-5.4"; + +// --------------------------------------------------------------------------- +// Provider +// --------------------------------------------------------------------------- + +export class CodexSDKProvider implements AIProvider { + readonly name = PROVIDER_NAME; + readonly capabilities: AIProviderCapabilities = { + fork: false, // No real fork — faked with fresh thread + preamble + resume: true, + streaming: true, + tools: true, + }; + readonly models = [ + { id: 'gpt-5.5', label: 'GPT-5.5' }, + { id: 'gpt-5.4', label: 'GPT-5.4', default: true }, + { id: 'gpt-5.4-mini', label: 'GPT-5.4 Mini' }, + { id: 'gpt-5.3-codex', label: 'GPT-5.3 Codex' }, + { id: 'gpt-5.3-codex-spark', label: 'GPT-5.3 Codex Spark' }, + { id: 'gpt-5.2-codex', label: 'GPT-5.2 Codex' }, + { id: 'gpt-5.2', label: 'GPT-5.2' }, + ] as const; + + private config: CodexSDKConfig; + + constructor(config: CodexSDKConfig) { + this.config = config; + } + + async createSession(options: CreateSessionOptions): Promise { + return new CodexSDKSession({ + ...this.baseConfig(options), + systemPrompt: buildSystemPrompt(options.context), + cwd: options.cwd ?? this.config.cwd ?? process.cwd(), + parentSessionId: null, + }); + } + + async forkSession(_options: CreateSessionOptions): Promise { + throw new Error( + "Codex does not support session forking. " + + "The endpoint layer should fall back to createSession()." + ); + } + + async resumeSession(sessionId: string): Promise { + return new CodexSDKSession({ + ...this.baseConfig(), + systemPrompt: null, + cwd: this.config.cwd ?? process.cwd(), + parentSessionId: null, + resumeThreadId: sessionId, + }); + } + + dispose(): void { + // No persistent resources to clean up + } + + private baseConfig(options?: CreateSessionOptions) { + return { + model: options?.model ?? this.config.model ?? DEFAULT_MODEL, + maxTurns: options?.maxTurns ?? 99, + sandboxMode: this.config.sandboxMode ?? "read-only" as const, + codexExecutablePath: this.config.codexExecutablePath, + reasoningEffort: options?.reasoningEffort, + }; + } +} + +// --------------------------------------------------------------------------- +// SDK import cache — resolve once, reuse across all sessions +// --------------------------------------------------------------------------- + +// biome-ignore lint/suspicious/noExplicitAny: SDK type not available at compile time +let CodexClass: any = null; + +async function getCodexClass() { + if (!CodexClass) { + // biome-ignore lint/suspicious/noExplicitAny: SDK exports vary between versions + const mod = await import("@openai/codex-sdk") as any; + CodexClass = mod.default ?? mod.Codex; + } + return CodexClass; +} + +// --------------------------------------------------------------------------- +// Session +// --------------------------------------------------------------------------- + +interface SessionConfig { + systemPrompt: string | null; + model: string; + maxTurns: number; + sandboxMode: "read-only" | "workspace-write" | "danger-full-access"; + cwd: string; + parentSessionId: string | null; + resumeThreadId?: string; + codexExecutablePath?: string; + reasoningEffort?: "minimal" | "low" | "medium" | "high" | "xhigh"; +} + +class CodexSDKSession extends BaseSession { + private config: SessionConfig; + // biome-ignore lint/suspicious/noExplicitAny: SDK types not available at compile time + private _codexInstance: any = null; + // biome-ignore lint/suspicious/noExplicitAny: SDK types not available at compile time + private _thread: any = null; + /** Tracks cumulative text length per item for delta extraction. */ + private _itemTextOffsets = new Map(); + + constructor(config: SessionConfig) { + super({ + parentSessionId: config.parentSessionId, + initialId: config.resumeThreadId, + }); + this.config = config; + // If resuming, treat the thread ID as already resolved + if (config.resumeThreadId) { + this._resolvedId = config.resumeThreadId; + } + } + + async *query(prompt: string): AsyncIterable { + const started = this.startQuery(); + if (!started) { yield BaseSession.BUSY_ERROR; return; } + const { gen, signal } = started; + + this._itemTextOffsets.clear(); + + try { + const Codex = await getCodexClass(); + + // Lazy-create the Codex instance + if (!this._codexInstance) { + this._codexInstance = new Codex({ + ...(this.config.codexExecutablePath && { codexPathOverride: this.config.codexExecutablePath }), + }); + } + + // Lazy-create or resume the thread + if (!this._thread) { + if (this.config.resumeThreadId) { + this._thread = this._codexInstance.resumeThread(this.config.resumeThreadId, { + model: this.config.model, + workingDirectory: this.config.cwd, + sandboxMode: this.config.sandboxMode, + ...(this.config.reasoningEffort && { modelReasoningEffort: this.config.reasoningEffort }), + }); + } else { + this._thread = this._codexInstance.startThread({ + model: this.config.model, + workingDirectory: this.config.cwd, + sandboxMode: this.config.sandboxMode, + ...(this.config.reasoningEffort && { modelReasoningEffort: this.config.reasoningEffort }), + }); + } + } + + const effectivePrompt = buildEffectivePrompt( + prompt, + this.config.systemPrompt, + this._firstQuerySent, + ); + const streamed = await this._thread.runStreamed(effectivePrompt, { + signal, + }); + + this._firstQuerySent = true; + let turnFailed = false; + + for await (const event of streamed.events) { + // ID resolution from thread.started + if ( + !this._resolvedId && + event.type === "thread.started" && + typeof event.thread_id === "string" + ) { + this.resolveId(event.thread_id); + } + + if (event.type === "turn.failed") { + turnFailed = true; + } + + const mapped = mapCodexEvent(event, this._itemTextOffsets); + for (const msg of mapped) { + yield msg; + } + } + + // Emit synthetic result after stream ends + if (!turnFailed) { + yield { + type: "result", + sessionId: this.id, + success: true, + }; + } + } catch (err) { + yield { + type: "error", + error: err instanceof Error ? err.message : String(err), + code: "provider_error", + }; + } finally { + this.endQuery(gen); + } + } + +} + +// --------------------------------------------------------------------------- +// Event mapping +// --------------------------------------------------------------------------- + +/** + * Map a Codex SDK ThreadEvent to one or more AIMessages. + * + * The itemTextOffsets map tracks cumulative text length per item ID + * so we can extract true deltas from the cumulative text in item.updated events. + */ +function mapCodexEvent( + event: Record, + itemTextOffsets: Map, +): AIMessage[] { + const eventType = event.type as string; + + switch (eventType) { + case "thread.started": + case "turn.started": + return []; + + case "turn.completed": + return []; + + case "turn.failed": { + const error = event.error as Record | undefined; + return [{ + type: "error", + error: (error?.message as string) ?? "Turn failed", + code: "turn_failed", + }]; + } + + case "error": + return [{ + type: "error", + error: (event.message as string) ?? "Unknown error", + code: "codex_error", + }]; + + case "item.started": + case "item.updated": + case "item.completed": + return mapCodexItem(event, itemTextOffsets); + + default: + return [{ type: "unknown", raw: event }]; + } +} + +/** + * Map item-level events to AIMessages. + */ +function mapCodexItem( + event: Record, + itemTextOffsets: Map, +): AIMessage[] { + const item = event.item as Record; + if (!item) return [{ type: "unknown", raw: event }]; + + const eventType = event.type as string; + const itemType = item.type as string; + const itemId = (item.id as string) ?? ""; + const isStarted = eventType === "item.started"; + const isCompleted = eventType === "item.completed"; + + switch (itemType) { + case "agent_message": { + const text = (item.text as string) ?? ""; + + if (isStarted) { + // Reset offset tracking for this item + itemTextOffsets.set(itemId, 0); + return []; + } + + if (isCompleted) { + // Emit final complete text + itemTextOffsets.delete(itemId); + return text ? [{ type: "text", text }] : []; + } + + // item.updated — extract delta from cumulative text + const prevOffset = itemTextOffsets.get(itemId) ?? 0; + if (text.length > prevOffset) { + const delta = text.slice(prevOffset); + itemTextOffsets.set(itemId, text.length); + return [{ type: "text_delta", delta }]; + } + return []; + } + + case "command_execution": { + const messages: AIMessage[] = []; + if (isStarted) { + messages.push({ + type: "tool_use", + toolName: "Bash", + toolInput: { command: item.command as string }, + toolUseId: itemId, + }); + } + if (isCompleted) { + const output = (item.aggregated_output as string) ?? ""; + const exitCode = item.exit_code as number | undefined; + messages.push({ + type: "tool_result", + toolUseId: itemId, + result: exitCode != null ? `${output}\n[exit code: ${exitCode}]` : output, + }); + } + return messages; + } + + case "file_change": { + const changes = item.changes as Array<{ path: string; kind: string }> | undefined; + if (isStarted || isCompleted) { + return [{ + type: "tool_use", + toolName: "FileChange", + toolInput: { changes: changes ?? [] }, + toolUseId: itemId, + }]; + } + return []; + } + + case "mcp_tool_call": { + const messages: AIMessage[] = []; + if (isStarted) { + messages.push({ + type: "tool_use", + toolName: `${item.server as string}/${item.tool as string}`, + toolInput: (item.arguments as Record) ?? {}, + toolUseId: itemId, + }); + } + if (isCompleted) { + if (item.result != null) { + messages.push({ + type: "tool_result", + toolUseId: itemId, + result: typeof item.result === "string" ? item.result : JSON.stringify(item.result), + }); + } + if (item.error) { + const err = item.error as Record; + messages.push({ + type: "error", + error: (err.message as string) ?? "MCP tool call failed", + code: "mcp_error", + }); + } + } + return messages; + } + + case "error": + return [{ + type: "error", + error: (item.message as string) ?? "Unknown error", + }]; + + case "reasoning": + case "web_search": + case "todo_list": + return [{ type: "unknown", raw: { eventType, item } }]; + + default: + return [{ type: "unknown", raw: { eventType, item } }]; + } +} + +// --------------------------------------------------------------------------- +// Exported for testing +// --------------------------------------------------------------------------- + +export { mapCodexEvent, mapCodexItem }; + +// --------------------------------------------------------------------------- +// Factory registration +// --------------------------------------------------------------------------- + +import { registerProviderFactory } from "../provider.ts"; + +registerProviderFactory( + PROVIDER_NAME, + async (config) => new CodexSDKProvider(config as CodexSDKConfig) +); diff --git a/extensions/plannotator/generated/ai/providers/opencode-sdk.ts b/extensions/plannotator/generated/ai/providers/opencode-sdk.ts new file mode 100644 index 0000000..69d9476 --- /dev/null +++ b/extensions/plannotator/generated/ai/providers/opencode-sdk.ts @@ -0,0 +1,547 @@ +// @generated — DO NOT EDIT. Source: packages/ai/providers/opencode-sdk.ts +/** + * OpenCode provider — bridges Plannotator's AI layer with OpenCode's agent server. + * + * Uses @opencode-ai/sdk to connect to an existing `opencode serve` first and + * only spawns a new server when nothing is reachable. One server is shared + * across all sessions. The user must have the `opencode` CLI installed and + * authenticated. + */ + +import type { OpencodeClient } from "@opencode-ai/sdk"; +import { BaseSession } from "../base-session.ts"; +import { buildSystemPrompt } from "../context.ts"; +import type { + AIMessage, + AIProvider, + AIProviderCapabilities, + AISession, + CreateSessionOptions, + OpenCodeConfig, +} from "../types.ts"; + +// --------------------------------------------------------------------------- +// Constants +// --------------------------------------------------------------------------- + +const PROVIDER_NAME = "opencode-sdk"; + +// --------------------------------------------------------------------------- +// SDK import cache — resolve once, reuse across all sessions +// --------------------------------------------------------------------------- + +// biome-ignore lint/suspicious/noExplicitAny: SDK types not available at compile time +let sdk: any = null; + +async function getSDK() { + if (!sdk) { + sdk = await import("@opencode-ai/sdk"); + } + return sdk; +} + +// --------------------------------------------------------------------------- +// Provider +// --------------------------------------------------------------------------- + +export class OpenCodeProvider implements AIProvider { + readonly name = PROVIDER_NAME; + readonly capabilities: AIProviderCapabilities = { + fork: true, + resume: true, + streaming: true, + tools: true, + }; + models?: Array<{ id: string; label: string; default?: boolean }>; + + private config: OpenCodeConfig; + // biome-ignore lint/suspicious/noExplicitAny: SDK types not available at compile time + private server: { url: string; close: () => void } | null = null; + private client: OpencodeClient | null = null; + private startPromise: Promise | null = null; + private lastAttachError: string | null = null; + + constructor(config: OpenCodeConfig) { + this.config = config; + } + + /** Attach to an existing OpenCode server or spawn one if needed. */ + async ensureServer(): Promise { + if (this.client) return; + this.startPromise ??= this.doStart().catch((err) => { + this.startPromise = null; + throw err; + }); + return this.startPromise; + } + + private async doStart(): Promise { + this.lastAttachError = null; + const { createOpencodeServer, createOpencodeClient } = await getSDK(); + const attachedClient = await this.tryAttachExistingServer(createOpencodeClient); + if (attachedClient) { + this.client = attachedClient; + return; + } + + try { + this.server = await createOpencodeServer({ + hostname: this.config.hostname ?? "127.0.0.1", + ...(this.config.port != null && { port: this.config.port }), + timeout: 15_000, + }); + } catch (err) { + const spawnMessage = err instanceof Error ? err.message : String(err); + if (this.lastAttachError) { + throw new Error(`${this.lastAttachError}\nFallback startup also failed: ${spawnMessage}`); + } + throw err; + } + + this.client = createOpencodeClient({ + baseUrl: this.server!.url, + directory: this.config.cwd ?? process.cwd(), + }); + } + + private async tryAttachExistingServer( + createOpencodeClient: (config?: { baseUrl?: string; directory?: string }) => OpencodeClient, + ): Promise { + const cwd = this.config.cwd ?? process.cwd(); + const baseUrl = `http://${this.config.hostname ?? "127.0.0.1"}:${this.config.port ?? 4096}`; + const client = createOpencodeClient({ + baseUrl, + directory: cwd, + }); + + try { + await client.config.get({ + throwOnError: true, + signal: AbortSignal.timeout(1_000), + }); + return client; + } catch (err) { + const message = err instanceof Error ? err.message : String(err); + this.lastAttachError = `Failed to attach to existing OpenCode server at ${baseUrl}: ${message}`; + return null; + } + } + + private getClient(): OpencodeClient { + if (!this.client) { + throw new Error("OpenCode client is not initialized."); + } + return this.client; + } + + async createSession(options: CreateSessionOptions): Promise { + await this.ensureServer(); + const client = this.getClient(); + + const result = await client.session.create({ + query: { directory: options.cwd ?? this.config.cwd ?? process.cwd() }, + }); + const sessionData = result.data; + if (!sessionData) { + throw new Error("OpenCode did not return session data."); + } + + const session = new OpenCodeSession({ + sessionId: sessionData.id, + systemPrompt: buildSystemPrompt(options.context), + client, + model: options.model, + parentSessionId: null, + }); + return session; + } + + async forkSession(options: CreateSessionOptions): Promise { + await this.ensureServer(); + const client = this.getClient(); + + const parentId = options.context.parent?.sessionId; + if (!parentId) { + throw new Error("Fork requires a parent session ID."); + } + + const result = await client.session.fork({ + path: { id: parentId }, + }); + const sessionData = result.data; + if (!sessionData) { + throw new Error("OpenCode did not return forked session data."); + } + + return new OpenCodeSession({ + sessionId: sessionData.id, + systemPrompt: buildSystemPrompt(options.context), + client, + model: options.model, + parentSessionId: parentId, + }); + } + + async resumeSession(sessionId: string): Promise { + await this.ensureServer(); + const client = this.getClient(); + + // Verify session exists + await client.session.get({ path: { id: sessionId } }); + + return new OpenCodeSession({ + sessionId, + systemPrompt: null, + client, + model: undefined, + parentSessionId: null, + }); + } + + dispose(): void { + if (this.server) { + this.server.close(); + this.server = null; + } + this.client = null; + this.startPromise = null; + } + + /** Fetch available models from OpenCode. Call before registering the provider. */ + async fetchModels(): Promise { + try { + await this.ensureServer(); + const client = this.getClient(); + + const result = await client.provider.list({ + query: { directory: this.config.cwd ?? process.cwd() }, + }); + const data = result.data; + if (!data) { + return; + } + const connected = new Set(data.connected ?? []); + const allProviders = data.all ?? []; + + const models: Array<{ id: string; label: string; default?: boolean }> = []; + for (const provider of allProviders) { + if (!connected.has(provider.id)) continue; + for (const model of Object.values(provider.models)) { + models.push({ + id: `${provider.id}/${model.id}`, + label: model.name ?? model.id, + }); + } + } + + if (models.length > 0) { + // Mark first model as default + models[0].default = true; + this.models = models; + } + } catch { + // OpenCode not configured or no models available + } + } +} + +// --------------------------------------------------------------------------- +// Session +// --------------------------------------------------------------------------- + +interface SessionConfig { + sessionId: string; + systemPrompt: string | null; + // biome-ignore lint/suspicious/noExplicitAny: SDK types not available at compile time + client: any; + /** Model in "providerID/modelID" format. */ + model?: string; + parentSessionId: string | null; +} + +class OpenCodeSession extends BaseSession { + private config: SessionConfig; + + constructor(config: SessionConfig) { + super({ + parentSessionId: config.parentSessionId, + initialId: config.sessionId, + }); + this.config = config; + this._resolvedId = config.sessionId; + } + + async *query(prompt: string): AsyncIterable { + const started = this.startQuery(); + if (!started) { + yield BaseSession.BUSY_ERROR; + return; + } + const { gen } = started; + + try { + // Build model param if specified + let modelParam: { providerID: string; modelID: string } | undefined; + if (this.config.model) { + const [providerID, ...rest] = this.config.model.split("/"); + const modelID = rest.join("/"); + if (providerID && modelID) { + modelParam = { providerID, modelID }; + } + } + + // Subscribe to SSE events + const { stream } = await this.config.client.event.subscribe(); + + try { + // Send prompt asynchronously + try { + await this.config.client.session.promptAsync({ + path: { id: this.config.sessionId }, + body: { + ...(!this._firstQuerySent && + this.config.systemPrompt && { + system: this.config.systemPrompt, + }), + ...(modelParam && { model: modelParam }), + parts: [{ type: "text", text: prompt }], + }, + }); + } catch (err) { + yield { + type: "error", + error: `OpenCode rejected prompt: ${err instanceof Error ? err.message : String(err)}`, + code: "opencode_prompt_rejected", + }; + return; + } + this._firstQuerySent = true; + + // Drain SSE events filtered by session ID + for await (const event of stream) { + const eventType = event.type as string; + const props = event.properties as Record | undefined; + if (!props) continue; + + // Filter: only events for our session + const eventSessionId = + (props.sessionID as string) ?? + ((props.info as Record)?.sessionID as string) ?? + ((props.part as Record)?.sessionID as string); + if (eventSessionId && eventSessionId !== this.config.sessionId) continue; + + const mapped = mapOpenCodeEvent(eventType, props, this.id); + for (const msg of mapped) { + yield msg; + if (msg.type === "result" || (msg.type === "error" && isTerminalEvent(eventType))) { + return; + } + } + } + } finally { + stream.return?.(); + } + } catch (err) { + yield { + type: "error", + error: err instanceof Error ? err.message : String(err), + code: "provider_error", + }; + } finally { + this.endQuery(gen); + } + } + + abort(): void { + this.config.client.session + .abort({ path: { id: this.config.sessionId } }) + .catch(() => {}); + super.abort(); + } + + respondToPermission( + requestId: string, + allow: boolean, + _message?: string, + ): void { + this.config.client + .postSessionIdPermissionsPermissionId({ + path: { id: this.config.sessionId, permissionID: requestId }, + body: { response: allow ? "once" : "reject" }, + }) + .catch(() => {}); + } +} + +// --------------------------------------------------------------------------- +// Event mapping +// --------------------------------------------------------------------------- + +/** Returns true for events that should terminate the query when mapped to an error. */ +function isTerminalEvent(eventType: string): boolean { + return eventType === "session.error" || eventType === "session.status"; +} + +/** + * Map an OpenCode SSE event to AIMessage[]. + * + * Key events: + * message.part.delta → text_delta (streaming text) + * message.part.updated → tool_use / tool_result (tool lifecycle) + * permission.updated → permission_request + * session.status → result (when idle) + * message.updated → error (when message has error) + */ +export function mapOpenCodeEvent( + eventType: string, + props: Record, + sessionId: string, +): AIMessage[] { + switch (eventType) { + case "message.part.delta": { + const field = props.field as string; + const delta = props.delta as string; + if (field === "text" && delta) { + return [{ type: "text_delta", delta }]; + } + return []; + } + + case "message.part.updated": { + const part = props.part as Record; + if (!part) return []; + + const partType = part.type as string; + + if (partType === "tool") { + const state = part.state as Record; + if (!state) return []; + + const status = state.status as string; + const callID = (part.callID as string) ?? (part.id as string); + const toolName = part.tool as string; + + switch (status) { + case "running": + return [ + { + type: "tool_use", + toolName: toolName ?? "unknown", + toolInput: (state.input as Record) ?? {}, + toolUseId: callID, + }, + ]; + + case "completed": { + const output = (state.output as string) ?? ""; + return [ + { + type: "tool_result", + toolUseId: callID, + result: output, + }, + ]; + } + + case "error": { + const error = (state.error as string) ?? "Tool execution failed"; + return [ + { + type: "tool_result", + toolUseId: callID, + result: `[Error] ${error}`, + }, + ]; + } + + default: + return []; + } + } + + return []; + } + + case "permission.updated": { + const id = props.id as string; + const permType = props.type as string; + const title = props.title as string; + const callID = props.callID as string; + const metadata = (props.metadata as Record) ?? {}; + + return [ + { + type: "permission_request", + requestId: id, + toolName: permType ?? "unknown", + toolInput: metadata, + title: title ?? permType, + toolUseId: callID ?? id, + }, + ]; + } + + case "session.status": { + const status = props.status as Record; + if (status?.type === "idle") { + return [ + { + type: "result", + sessionId, + success: true, + }, + ]; + } + return []; + } + + case "session.error": { + const error = props.error as Record; + const message = + (error?.message as string) ?? (props.message as string) ?? "Session error"; + return [ + { + type: "error", + error: message, + code: "opencode_session_error", + }, + ]; + } + + case "message.updated": { + const info = props.info as Record; + if (!info) return []; + + const msgError = info.error as Record; + if (msgError) { + const errorData = msgError.data as Record; + const message = + (errorData?.message as string) ?? + (msgError.name as string) ?? + "Message error"; + return [ + { + type: "error", + error: message, + code: "opencode_message_error", + }, + ]; + } + return []; + } + + default: + return []; + } +} + +// --------------------------------------------------------------------------- +// Factory registration +// --------------------------------------------------------------------------- + +import { registerProviderFactory } from "../provider.ts"; + +registerProviderFactory( + PROVIDER_NAME, + async (config) => new OpenCodeProvider(config as OpenCodeConfig), +); diff --git a/extensions/plannotator/generated/ai/providers/pi-events.ts b/extensions/plannotator/generated/ai/providers/pi-events.ts new file mode 100644 index 0000000..cfffc82 --- /dev/null +++ b/extensions/plannotator/generated/ai/providers/pi-events.ts @@ -0,0 +1,111 @@ +// @generated — DO NOT EDIT. Source: packages/ai/providers/pi-events.ts +/** + * Pi event mapping — shared between Bun and Node.js Pi providers. + * + * Pure function, no runtime-specific dependencies. + */ + +import type { AIMessage } from "../types.ts"; + +/** + * Map a Pi AgentEvent (received as JSONL) to AIMessage[]. + * + * Pi event hierarchy: + * agent_start > turn_start > message_start > message_update* > message_end + * > tool_execution_start > tool_execution_end > turn_end > agent_end + * + * We extract: + * - text_delta from message_update.assistantMessageEvent + * - tool_use from toolcall_end + * - tool_result from tool_execution_end + * - result from agent_end + */ +export function mapPiEvent( + event: Record, + sessionId: string, +): AIMessage[] { + const eventType = event.type as string; + + switch (eventType) { + case "message_update": { + const ame = event.assistantMessageEvent as + | Record + | undefined; + if (!ame) return []; + + const subType = ame.type as string; + + switch (subType) { + case "text_delta": + return [{ type: "text_delta", delta: ame.delta as string }]; + + case "toolcall_end": { + const tc = ame.toolCall as Record; + if (!tc) return []; + return [ + { + type: "tool_use", + toolName: tc.name as string, + toolInput: (tc.arguments as Record) ?? {}, + toolUseId: tc.id as string, + }, + ]; + } + + case "error": { + const partial = ame.error as Record | undefined; + const errorMessage = + (partial?.errorMessage as string) ?? "Stream error"; + return [ + { type: "error", error: errorMessage, code: "pi_stream_error" }, + ]; + } + + default: + return []; + } + } + + case "tool_execution_end": { + const result = event.result; + const isError = event.isError as boolean; + const resultStr = + result == null + ? "" + : typeof result === "string" + ? result + : JSON.stringify(result); + + return [ + { + type: "tool_result", + toolUseId: event.toolCallId as string, + result: isError + ? `[Error] ${resultStr || "Tool execution failed"}` + : resultStr, + }, + ]; + } + + case "agent_end": + return [ + { + type: "result", + sessionId, + success: true, + }, + ]; + + case "process_exited": + return [ + { + type: "error", + error: "Pi process exited unexpectedly.", + code: "pi_process_exit", + }, + ]; + + default: + return []; + } +} diff --git a/extensions/plannotator/generated/ai/providers/pi-sdk-node.ts b/extensions/plannotator/generated/ai/providers/pi-sdk-node.ts new file mode 100644 index 0000000..2112ac3 --- /dev/null +++ b/extensions/plannotator/generated/ai/providers/pi-sdk-node.ts @@ -0,0 +1,377 @@ +// @generated — DO NOT EDIT. Source: packages/ai/providers/pi-sdk-node.ts +/** + * Pi SDK provider — Node.js variant. + * + * Identical to pi-sdk.ts except PiProcess uses child_process.spawn() + * instead of Bun.spawn(). Everything else (PiSDKProvider, PiSDKSession, + * mapPiEvent) is re-exported from the Bun version unchanged. + * + * Used by the Pi extension which runs under jiti (Node.js). + */ + +import { spawn, type ChildProcess } from "node:child_process"; +import { BaseSession } from "../base-session.ts"; +import { buildEffectivePrompt, buildSystemPrompt } from "../context.ts"; +import type { + AIMessage, + AIProvider, + AIProviderCapabilities, + CreateSessionOptions, + PiSDKConfig, +} from "../types.ts"; +import { registerProviderFactory } from "../provider.ts"; + +// Re-export mapPiEvent from shared (runtime-agnostic) +export { mapPiEvent } from "./pi-events.ts"; + +const PROVIDER_NAME = "pi-sdk"; + +// --------------------------------------------------------------------------- +// JSONL subprocess wrapper (Node.js) +// --------------------------------------------------------------------------- + +type EventListener = (event: Record) => void; + +class PiProcessNode { + private proc: ChildProcess | null = null; + private listeners: EventListener[] = []; + private pendingRequests = new Map< + string, + { + resolve: (data: Record) => void; + reject: (err: Error) => void; + } + >(); + private nextId = 0; + private buffer = ""; + private _alive = false; + + async spawn(piPath: string, cwd: string): Promise { + this.proc = spawn(piPath, ["--mode", "rpc"], { + cwd, + stdio: ["pipe", "pipe", "pipe"], + }); + this._alive = true; + + this.readStream(); + + this.proc.on("exit", () => { + this._alive = false; + for (const [, pending] of this.pendingRequests) { + pending.reject(new Error("Pi process exited unexpectedly")); + } + this.pendingRequests.clear(); + for (const listener of this.listeners) { + listener({ type: "process_exited" }); + } + }); + } + + private readStream(): void { + if (!this.proc?.stdout) return; + + this.proc.stdout.on("data", (chunk: Buffer) => { + this.buffer += chunk.toString(); + const lines = this.buffer.split("\n"); + this.buffer = lines.pop() ?? ""; + + for (const line of lines) { + const trimmed = line.replace(/\r$/, ""); + if (!trimmed) continue; + try { + const parsed = JSON.parse(trimmed); + this.routeMessage(parsed); + } catch { + // Ignore malformed lines + } + } + }); + } + + private routeMessage(msg: Record): void { + if (msg.type === "response" && typeof msg.id === "string") { + const pending = this.pendingRequests.get(msg.id); + if (pending) { + this.pendingRequests.delete(msg.id); + if (msg.success === false) { + pending.reject(new Error((msg.error as string) ?? "RPC error")); + } else { + pending.resolve((msg.data as Record) ?? {}); + } + return; + } + } + + for (const listener of this.listeners) { + listener(msg); + } + } + + send(command: Record): void { + if (!this.proc?.stdin || this.proc.stdin.destroyed) return; + this.proc.stdin.write(`${JSON.stringify(command)}\n`); + } + + sendAndWait( + command: Record, + ): Promise> { + const id = `req_${++this.nextId}`; + return new Promise((resolve, reject) => { + this.pendingRequests.set(id, { resolve, reject }); + this.send({ ...command, id }); + }); + } + + onEvent(listener: EventListener): () => void { + this.listeners.push(listener); + return () => { + const idx = this.listeners.indexOf(listener); + if (idx >= 0) this.listeners.splice(idx, 1); + }; + } + + get alive(): boolean { + return this._alive; + } + + kill(): void { + this._alive = false; + if (this.proc) { + this.proc.kill(); + this.proc = null; + } + this.listeners.length = 0; + for (const [, pending] of this.pendingRequests) { + pending.reject(new Error("Process killed")); + } + this.pendingRequests.clear(); + } +} + +// --------------------------------------------------------------------------- +// Provider (identical to pi-sdk.ts, using PiProcessNode) +// --------------------------------------------------------------------------- + +export class PiSDKNodeProvider implements AIProvider { + readonly name = PROVIDER_NAME; + readonly capabilities: AIProviderCapabilities = { + fork: false, + resume: false, + streaming: true, + tools: true, + }; + models?: Array<{ id: string; label: string; default?: boolean }>; + + private config: PiSDKConfig; + private sessions = new Map(); + + constructor(config: PiSDKConfig) { + this.config = config; + } + + async createSession(options: CreateSessionOptions): Promise { + const session = new PiSDKNodeSession({ + systemPrompt: buildSystemPrompt(options.context), + cwd: options.cwd ?? this.config.cwd ?? process.cwd(), + parentSessionId: null, + piExecutablePath: this.config.piExecutablePath ?? "pi", + model: options.model ?? this.config.model, + }); + this.sessions.set(session.id, session); + return session; + } + + async forkSession(): Promise { + throw new Error( + "Pi does not support session forking. " + + "The endpoint layer should fall back to createSession().", + ); + } + + async resumeSession(): Promise { + throw new Error("Pi does not support session resuming."); + } + + dispose(): void { + for (const session of this.sessions.values()) { + session.killProcess(); + } + this.sessions.clear(); + } + + async fetchModels(): Promise { + const piPath = this.config.piExecutablePath ?? "pi"; + let proc: PiProcessNode | undefined; + try { + proc = new PiProcessNode(); + await proc.spawn(piPath, this.config.cwd ?? process.cwd()); + const data = await Promise.race([ + proc.sendAndWait({ type: "get_available_models" }), + new Promise((_, reject) => + setTimeout(() => reject(new Error("Timeout")), 10_000), + ), + ]); + const rawModels = ( + data as { models?: Array<{ provider: string; id: string; name?: string }> } + ).models; + if (rawModels && rawModels.length > 0) { + this.models = rawModels.map((m, i) => ({ + id: `${m.provider}/${m.id}`, + label: m.name ?? m.id, + ...(i === 0 && { default: true }), + })); + } + } catch { + // Pi not configured or no models available + } finally { + proc?.kill(); + } + } +} + +// --------------------------------------------------------------------------- +// Session (identical to pi-sdk.ts, using PiProcessNode) +// --------------------------------------------------------------------------- + +interface SessionConfig { + systemPrompt: string; + cwd: string; + parentSessionId: string | null; + piExecutablePath: string; + model?: string; +} + +class PiSDKNodeSession extends BaseSession { + private config: SessionConfig; + private process: PiProcessNode | null = null; + + constructor(config: SessionConfig) { + super({ parentSessionId: config.parentSessionId }); + this.config = config; + } + + async *query(prompt: string): AsyncIterable { + const { mapPiEvent } = await import("./pi-events.ts"); + + const started = this.startQuery(); + if (!started) { + yield BaseSession.BUSY_ERROR; + return; + } + const { gen } = started; + + try { + if (!this.process || !this.process.alive) { + this.process = new PiProcessNode(); + await this.process.spawn(this.config.piExecutablePath, this.config.cwd); + + if (this.config.model) { + const [provider, ...rest] = this.config.model.split("/"); + const modelId = rest.join("/"); + if (provider && modelId) { + try { + await this.process.sendAndWait({ type: "set_model", provider, modelId }); + } catch { /* Continue with Pi's default model */ } + } + } + + try { + const state = await this.process.sendAndWait({ type: "get_state" }); + if (typeof state.sessionId === "string") { + this.resolveId(state.sessionId); + } + } catch { /* Continue with placeholder ID */ } + + if (!this.process.alive) { + yield { + type: "error", + error: "Pi process exited during startup. Check that Pi is configured correctly (API keys, models).", + code: "pi_startup_error", + }; + return; + } + } + + const effectivePrompt = buildEffectivePrompt( + prompt, + this.config.systemPrompt, + this._firstQuerySent, + ); + + const queue: AIMessage[] = []; + let resolve: (() => void) | null = null; + let done = false; + + const push = (msg: AIMessage) => { queue.push(msg); resolve?.(); }; + const finish = () => { done = true; resolve?.(); }; + + const unsubscribe = this.process.onEvent((event) => { + const mapped = mapPiEvent(event, this.id); + for (const msg of mapped) { + push(msg); + if ( + msg.type === "result" || + (msg.type === "error" && (event.type === "agent_end" || event.type === "process_exited")) + ) { + finish(); + } + } + }); + + try { + await this.process.sendAndWait({ type: "prompt", message: effectivePrompt }); + } catch (err) { + unsubscribe(); + yield { + type: "error", + error: `Pi rejected prompt: ${err instanceof Error ? err.message : String(err)}`, + code: "pi_prompt_rejected", + }; + return; + } + this._firstQuerySent = true; + + try { + while (!done || queue.length > 0) { + if (queue.length > 0) { + yield queue.shift()!; + } else { + await new Promise((r) => { resolve = r; }); + resolve = null; + } + } + } finally { + unsubscribe(); + } + } catch (err) { + yield { + type: "error", + error: err instanceof Error ? err.message : String(err), + code: "provider_error", + }; + } finally { + this.endQuery(gen); + } + } + + abort(): void { + if (this.process?.alive) { + this.process.send({ type: "abort" }); + } + super.abort(); + } + + killProcess(): void { + this.process?.kill(); + this.process = null; + } +} + +// --------------------------------------------------------------------------- +// Factory registration +// --------------------------------------------------------------------------- + +registerProviderFactory( + PROVIDER_NAME, + async (config) => new PiSDKNodeProvider(config as PiSDKConfig), +); diff --git a/extensions/plannotator/generated/ai/providers/pi-sdk.ts b/extensions/plannotator/generated/ai/providers/pi-sdk.ts new file mode 100644 index 0000000..1ee7137 --- /dev/null +++ b/extensions/plannotator/generated/ai/providers/pi-sdk.ts @@ -0,0 +1,442 @@ +// @generated — DO NOT EDIT. Source: packages/ai/providers/pi-sdk.ts +/** + * Pi SDK provider — bridges Plannotator's AI layer with Pi's coding agent. + * + * Spawns `pi --mode rpc` as a subprocess and communicates via JSONL over + * stdio. No Pi SDK is imported — this is a thin protocol adapter. + * + * One subprocess per session. The user must have the `pi` CLI installed. + */ + +import { BaseSession } from "../base-session.ts"; +import { buildEffectivePrompt, buildSystemPrompt } from "../context.ts"; +import type { + AIMessage, + AIProvider, + AIProviderCapabilities, + CreateSessionOptions, + PiSDKConfig, +} from "../types.ts"; + +// --------------------------------------------------------------------------- +// Constants +// --------------------------------------------------------------------------- + +const PROVIDER_NAME = "pi-sdk"; + +// --------------------------------------------------------------------------- +// JSONL subprocess wrapper +// --------------------------------------------------------------------------- + +type EventListener = (event: Record) => void; + +class PiProcess { + private proc: ReturnType | null = null; + private listeners: EventListener[] = []; + private pendingRequests = new Map< + string, + { + resolve: (data: Record) => void; + reject: (err: Error) => void; + } + >(); + private nextId = 0; + private buffer = ""; + private _alive = false; + + async spawn(piPath: string, cwd: string): Promise { + this.proc = Bun.spawn([piPath, "--mode", "rpc"], { + cwd, + stdin: "pipe", + stdout: "pipe", + stderr: "pipe", + }); + this._alive = true; + + this.readStream(); + + this.proc.exited.then(() => { + this._alive = false; + for (const [, pending] of this.pendingRequests) { + pending.reject(new Error("Pi process exited unexpectedly")); + } + this.pendingRequests.clear(); + // Signal active query listeners so the drain loop exits with an error + for (const listener of this.listeners) { + listener({ type: "process_exited" }); + } + }); + } + + private async readStream(): Promise { + if (!this.proc?.stdout || typeof this.proc.stdout === "number") return; + const reader = (this.proc.stdout as ReadableStream).getReader(); + const decoder = new TextDecoder(); + + try { + while (true) { + const { done, value } = await reader.read(); + if (done) break; + + this.buffer += decoder.decode(value, { stream: true }); + const lines = this.buffer.split("\n"); + this.buffer = lines.pop() ?? ""; + + for (const line of lines) { + const trimmed = line.replace(/\r$/, ""); + if (!trimmed) continue; + try { + const parsed = JSON.parse(trimmed); + this.routeMessage(parsed); + } catch { + // Ignore malformed lines + } + } + } + } catch { + // Stream closed + } + } + + private routeMessage(msg: Record): void { + // Response to a command we sent + if (msg.type === "response" && typeof msg.id === "string") { + const pending = this.pendingRequests.get(msg.id); + if (pending) { + this.pendingRequests.delete(msg.id); + if (msg.success === false) { + pending.reject(new Error((msg.error as string) ?? "RPC error")); + } else { + pending.resolve((msg.data as Record) ?? {}); + } + return; + } + } + + // Agent event — forward to listeners + for (const listener of this.listeners) { + listener(msg); + } + } + + /** Send a command without waiting for a response. */ + send(command: Record): void { + if (!this.proc?.stdin || typeof this.proc.stdin === "number") return; + // Bun.spawn stdin is a FileSink with .write(), not a WritableStream + const sink = this.proc.stdin as { write(data: string): void; flush(): void }; + sink.write(`${JSON.stringify(command)}\n`); + sink.flush(); + } + + /** Send a command and wait for the correlated response. */ + sendAndWait( + command: Record, + ): Promise> { + const id = `req_${++this.nextId}`; + return new Promise((resolve, reject) => { + this.pendingRequests.set(id, { resolve, reject }); + this.send({ ...command, id }); + }); + } + + /** Register a listener for agent events (non-response messages). */ + onEvent(listener: EventListener): () => void { + this.listeners.push(listener); + return () => { + const idx = this.listeners.indexOf(listener); + if (idx >= 0) this.listeners.splice(idx, 1); + }; + } + + get alive(): boolean { + return this._alive; + } + + kill(): void { + this._alive = false; + if (this.proc) { + this.proc.kill(); + this.proc = null; + } + this.listeners.length = 0; + for (const [, pending] of this.pendingRequests) { + pending.reject(new Error("Process killed")); + } + this.pendingRequests.clear(); + } +} + +// --------------------------------------------------------------------------- +// Provider +// --------------------------------------------------------------------------- + +export class PiSDKProvider implements AIProvider { + readonly name = PROVIDER_NAME; + readonly capabilities: AIProviderCapabilities = { + fork: false, + resume: false, + streaming: true, + tools: true, + }; + models?: Array<{ id: string; label: string; default?: boolean }>; + + private config: PiSDKConfig; + private sessions = new Map(); + + constructor(config: PiSDKConfig) { + this.config = config; + } + + async createSession(options: CreateSessionOptions): Promise { + const session = new PiSDKSession({ + systemPrompt: buildSystemPrompt(options.context), + cwd: options.cwd ?? this.config.cwd ?? process.cwd(), + parentSessionId: null, + piExecutablePath: this.config.piExecutablePath ?? "pi", + model: options.model ?? this.config.model, + }); + this.sessions.set(session.id, session); + return session; + } + + async forkSession(): Promise { + throw new Error( + "Pi does not support session forking. " + + "The endpoint layer should fall back to createSession().", + ); + } + + async resumeSession(): Promise { + throw new Error("Pi does not support session resuming."); + } + + dispose(): void { + for (const session of this.sessions.values()) { + session.killProcess(); + } + this.sessions.clear(); + } + + /** Fetch available models from Pi. Call before registering the provider. */ + async fetchModels(): Promise { + const piPath = this.config.piExecutablePath ?? "pi"; + + let proc: PiProcess | undefined; + + try { + proc = new PiProcess(); + await proc.spawn(piPath, this.config.cwd ?? process.cwd()); + + const data = await Promise.race([ + proc.sendAndWait({ type: "get_available_models" }), + new Promise((_, reject) => + setTimeout(() => reject(new Error("Timeout")), 10_000), + ), + ]); + + const rawModels = ( + data as { + models?: Array<{ provider: string; id: string; name?: string }>; + } + ).models; + if (rawModels && rawModels.length > 0) { + this.models = rawModels.map((m, i) => ({ + id: `${m.provider}/${m.id}`, + label: m.name ?? m.id, + ...(i === 0 && { default: true }), + })); + } + } catch { + // Pi not configured or no models available + } finally { + proc?.kill(); + } + } +} + +// --------------------------------------------------------------------------- +// Session +// --------------------------------------------------------------------------- + +interface SessionConfig { + systemPrompt: string; + cwd: string; + parentSessionId: string | null; + piExecutablePath: string; + /** Model in "provider/modelId" format, e.g. "anthropic/claude-haiku-4-5". */ + model?: string; +} + +class PiSDKSession extends BaseSession { + private config: SessionConfig; + private process: PiProcess | null = null; + + constructor(config: SessionConfig) { + super({ parentSessionId: config.parentSessionId }); + this.config = config; + } + + async *query(prompt: string): AsyncIterable { + const started = this.startQuery(); + if (!started) { + yield BaseSession.BUSY_ERROR; + return; + } + const { gen } = started; + + try { + // Lazy-spawn subprocess + if (!this.process || !this.process.alive) { + this.process = new PiProcess(); + await this.process.spawn(this.config.piExecutablePath, this.config.cwd); + + // Set model if specified (format: "provider/modelId") + if (this.config.model) { + const [provider, ...rest] = this.config.model.split("/"); + const modelId = rest.join("/"); + if (provider && modelId) { + try { + await this.process.sendAndWait({ + type: "set_model", + provider, + modelId, + }); + } catch { + // Continue with Pi's default model + } + } + } + + // Get session ID + try { + const state = await this.process.sendAndWait({ type: "get_state" }); + if (typeof state.sessionId === "string") { + this.resolveId(state.sessionId); + } + } catch { + // Continue with placeholder ID + } + + // If subprocess died during startup, surface the error immediately + if (!this.process.alive) { + yield { + type: "error", + error: + "Pi process exited during startup. Check that Pi is configured correctly (API keys, models).", + code: "pi_startup_error", + }; + return; + } + } + + // Build effective prompt (prepend system prompt on first query) + const effectivePrompt = buildEffectivePrompt( + prompt, + this.config.systemPrompt, + this._firstQuerySent, + ); + + // Set up async queue to bridge callback events → async iterable + const queue: AIMessage[] = []; + let resolve: (() => void) | null = null; + let done = false; + + const push = (msg: AIMessage) => { + queue.push(msg); + resolve?.(); + }; + + const finish = () => { + done = true; + resolve?.(); + }; + + const unsubscribe = this.process.onEvent((event) => { + const mapped = mapPiEvent(event, this.id); + for (const msg of mapped) { + push(msg); + if ( + msg.type === "result" || + (msg.type === "error" && + (event.type === "agent_end" || event.type === "process_exited")) + ) { + finish(); + } + } + }); + + // Send prompt — use sendAndWait to catch RPC-level rejections + // (e.g. expired credentials, invalid session) + try { + await this.process.sendAndWait({ + type: "prompt", + message: effectivePrompt, + }); + } catch (err) { + unsubscribe(); + yield { + type: "error", + error: `Pi rejected prompt: ${err instanceof Error ? err.message : String(err)}`, + code: "pi_prompt_rejected", + }; + return; + } + this._firstQuerySent = true; + + // Drain queue + try { + while (!done || queue.length > 0) { + if (queue.length > 0) { + yield queue.shift()!; + } else { + await new Promise((r) => { + resolve = r; + }); + resolve = null; + } + } + } finally { + unsubscribe(); + } + } catch (err) { + yield { + type: "error", + error: err instanceof Error ? err.message : String(err), + code: "provider_error", + }; + } finally { + this.endQuery(gen); + } + } + + abort(): void { + if (this.process?.alive) { + this.process.send({ type: "abort" }); + } + super.abort(); + } + + /** Kill the subprocess. Called by the provider on dispose. */ + killProcess(): void { + this.process?.kill(); + this.process = null; + } +} + +// --------------------------------------------------------------------------- +// Event mapping — shared with pi-sdk-node.ts +// --------------------------------------------------------------------------- + +import { mapPiEvent } from "./pi-events.ts"; +export { mapPiEvent } from "./pi-events.ts"; + +// --------------------------------------------------------------------------- +// Factory registration +// --------------------------------------------------------------------------- + +import { registerProviderFactory } from "../provider.ts"; + +registerProviderFactory( + PROVIDER_NAME, + async (config) => new PiSDKProvider(config as PiSDKConfig), +); diff --git a/extensions/plannotator/generated/ai/session-manager.ts b/extensions/plannotator/generated/ai/session-manager.ts new file mode 100644 index 0000000..2c04344 --- /dev/null +++ b/extensions/plannotator/generated/ai/session-manager.ts @@ -0,0 +1,196 @@ +// @generated — DO NOT EDIT. Source: packages/ai/session-manager.ts +/** + * Session manager — tracks active and historical AI sessions. + * + * Each Plannotator server instance (plan review, code review, annotate) + * gets its own SessionManager. It tracks: + * + * - Active sessions (currently streaming or idle but resumable) + * - The lineage from forked sessions back to their parent + * - Metadata for UI display (timestamps, mode, status) + * + * This is an in-memory store scoped to the server's lifetime. Sessions + * are not persisted to disk by the manager (the underlying provider + * handles its own persistence via the agent SDK). + */ + +import type { AISession, AIContextMode } from "./types.ts"; + +// --------------------------------------------------------------------------- +// Types +// --------------------------------------------------------------------------- + +export interface SessionEntry { + /** The live session handle (if still active). */ + session: AISession; + /** What mode this session was created for. */ + mode: AIContextMode; + /** The parent session ID this was forked from (null if standalone). */ + parentSessionId: string | null; + /** When this session was created. */ + createdAt: number; + /** When the last query was sent. */ + lastActiveAt: number; + /** Short description for UI display (e.g., the user's first question). */ + label?: string; +} + +export interface SessionManagerOptions { + /** + * Maximum number of sessions to keep in the manager. + * Oldest idle sessions are evicted when the limit is reached. + * Default: 20. + */ + maxSessions?: number; +} + +// --------------------------------------------------------------------------- +// Implementation +// --------------------------------------------------------------------------- + +export class SessionManager { + private sessions = new Map(); + private aliases = new Map(); + private maxSessions: number; + + constructor(options: SessionManagerOptions = {}) { + this.maxSessions = options.maxSessions ?? 20; + } + + /** + * Track a newly created session. + * + * If the session supports ID resolution (e.g., the real SDK session ID + * arrives after the first query), call `remapId()` to update the key. + */ + track(session: AISession, mode: AIContextMode, label?: string): SessionEntry { + this.evictIfNeeded(); + + const entry: SessionEntry = { + session, + mode, + parentSessionId: session.parentSessionId, + createdAt: Date.now(), + lastActiveAt: Date.now(), + label, + }; + this.sessions.set(session.id, entry); + + // Wire up ID remapping so providers can resolve the real session ID later + session.onIdResolved = (oldId, newId) => this.remapId(oldId, newId); + + return entry; + } + + /** + * Remap a session from one ID to another. + * Used when the real session ID is resolved after initial tracking. + */ + remapId(oldId: string, newId: string): void { + const entry = this.sessions.get(oldId); + if (entry) { + this.sessions.delete(oldId); + this.sessions.set(newId, entry); + // Keep the old ID as an alias so clients using the original ID still work + this.aliases.set(oldId, newId); + } + } + + /** Resolve an alias to the canonical ID, or return the ID as-is. */ + private resolve(sessionId: string): string { + return this.aliases.get(sessionId) ?? sessionId; + } + + /** + * Get a tracked session by ID (or alias). + */ + get(sessionId: string): SessionEntry | undefined { + return this.sessions.get(this.resolve(sessionId)); + } + + /** + * Mark a session as recently active (updates lastActiveAt). + */ + touch(sessionId: string): void { + const entry = this.sessions.get(this.resolve(sessionId)); + if (entry) { + entry.lastActiveAt = Date.now(); + } + } + + /** + * Remove a session from tracking. + * Does NOT abort the session — call session.abort() first if needed. + */ + remove(sessionId: string): void { + const canonical = this.resolve(sessionId); + this.sessions.delete(canonical); + // Clean up any aliases pointing to this session + for (const [alias, target] of this.aliases) { + if (target === canonical) this.aliases.delete(alias); + } + } + + /** + * List all tracked sessions, newest first. + */ + list(): SessionEntry[] { + return [...this.sessions.values()].sort( + (a, b) => b.lastActiveAt - a.lastActiveAt + ); + } + + /** + * List sessions forked from a specific parent. + */ + forksOf(parentSessionId: string): SessionEntry[] { + return this.list().filter( + (e) => e.parentSessionId === parentSessionId + ); + } + + /** + * Get the number of tracked sessions. + */ + get size(): number { + return this.sessions.size; + } + + /** + * Abort all active sessions and clear tracking. + */ + disposeAll(): void { + for (const entry of this.sessions.values()) { + if (entry.session.isActive) { + entry.session.abort(); + } + } + this.sessions.clear(); + this.aliases.clear(); + } + + // ------------------------------------------------------------------------- + // Internal + // ------------------------------------------------------------------------- + + private evictIfNeeded(): void { + if (this.sessions.size < this.maxSessions) return; + + // Find the oldest idle session to evict + let oldest: { id: string; at: number } | null = null; + for (const [id, entry] of this.sessions) { + if (entry.session.isActive) continue; // don't evict active sessions + if (!oldest || entry.lastActiveAt < oldest.at) { + oldest = { id, at: entry.lastActiveAt }; + } + } + + if (oldest) { + this.sessions.delete(oldest.id); + // Clean up aliases pointing to the evicted session + for (const [alias, target] of this.aliases) { + if (target === oldest.id) this.aliases.delete(alias); + } + } + } +} diff --git a/extensions/plannotator/generated/ai/types.ts b/extensions/plannotator/generated/ai/types.ts new file mode 100644 index 0000000..7f368c7 --- /dev/null +++ b/extensions/plannotator/generated/ai/types.ts @@ -0,0 +1,370 @@ +// @generated — DO NOT EDIT. Source: packages/ai/types.ts +/** + * Core types for the Plannotator AI provider layer. + * + * This module defines the abstract interfaces that any agent runtime + * (Claude Agent SDK, OpenCode, future providers) must implement to + * power AI features inside Plannotator's plan review and code review UIs. + */ + +// --------------------------------------------------------------------------- +// Context — what the AI session knows about +// --------------------------------------------------------------------------- + +/** The surface the user is interacting with when they invoke AI. */ +export type AIContextMode = "plan-review" | "code-review" | "annotate"; + +/** + * Describes the parent agent session that originally produced the plan or diff. + * Used to fork conversations with full history. + */ +export interface ParentSession { + /** Session ID from the host agent (e.g. Claude Code session UUID). */ + sessionId: string; + /** Working directory the parent session was running in. */ + cwd: string; +} + +/** + * Snapshot of plan-review-specific context. + * Passed when AIContextMode is "plan-review". + */ +export interface PlanContext { + /** The full plan markdown as submitted by the agent. */ + plan: string; + /** Previous plan version (if this is a resubmission). */ + previousPlan?: string; + /** The version number in the plan's history. */ + version?: number; + /** Annotations the user has made so far (serialised for the prompt). */ + annotations?: string; +} + +/** + * Snapshot of code-review-specific context. + * Passed when AIContextMode is "code-review". + */ +export interface CodeReviewContext { + /** The unified diff patch. */ + patch: string; + /** The specific file being discussed (if scoped). */ + filePath?: string; + /** The line range being discussed (if scoped). */ + lineRange?: { start: number; end: number; side: "old" | "new" }; + /** The code snippet being discussed (if scoped). */ + selectedCode?: string; + /** Summary of annotations the user has made. */ + annotations?: string; +} + +/** + * Snapshot of annotate-mode context. + * Passed when AIContextMode is "annotate". + */ +export interface AnnotateContext { + /** The markdown file content being annotated. */ + content: string; + /** Path to the file on disk. */ + filePath: string; + /** Summary of annotations the user has made. */ + annotations?: string; +} + +/** + * Union of mode-specific contexts, discriminated by `mode`. + */ +export type AIContext = + | { mode: "plan-review"; plan: PlanContext; parent?: ParentSession } + | { mode: "code-review"; review: CodeReviewContext; parent?: ParentSession } + | { mode: "annotate"; annotate: AnnotateContext; parent?: ParentSession }; + +// --------------------------------------------------------------------------- +// Messages — what streams back from the AI +// --------------------------------------------------------------------------- + +export interface AITextMessage { + type: "text"; + text: string; +} + +export interface AITextDeltaMessage { + type: "text_delta"; + delta: string; +} + +export interface AIToolUseMessage { + type: "tool_use"; + toolName: string; + toolInput: Record; + toolUseId: string; +} + +export interface AIToolResultMessage { + type: "tool_result"; + toolUseId?: string; + result: string; +} + +export interface AIErrorMessage { + type: "error"; + error: string; + code?: string; +} + +export interface AIResultMessage { + type: "result"; + sessionId: string; + success: boolean; + /** The final text result (if success). */ + result?: string; + /** Total cost in USD (if available). */ + costUsd?: number; + /** Number of agentic turns used. */ + turns?: number; +} + +export interface AIPermissionRequestMessage { + type: "permission_request"; + requestId: string; + toolName: string; + toolInput: Record; + title?: string; + displayName?: string; + description?: string; + toolUseId: string; +} + +export interface AIUnknownMessage { + type: "unknown"; + /** The raw message from the provider, for debugging/transparency. */ + raw: Record; +} + +export type AIMessage = + | AITextMessage + | AITextDeltaMessage + | AIToolUseMessage + | AIToolResultMessage + | AIErrorMessage + | AIResultMessage + | AIPermissionRequestMessage + | AIUnknownMessage; + +// --------------------------------------------------------------------------- +// Session — a live conversation with the AI +// --------------------------------------------------------------------------- + +export interface AISession { + /** Unique identifier for this session. */ + readonly id: string; + + /** + * The parent session this was forked from, if any. + * Null for fresh sessions. + */ + readonly parentSessionId: string | null; + + /** + * Send a prompt and stream back messages. + * The returned async iterable yields messages as they arrive. + */ + query(prompt: string): AsyncIterable; + + /** + * Abort the current in-flight query. + * Safe to call if no query is running (no-op). + */ + abort(): void; + + /** Whether a query is currently in progress. */ + readonly isActive: boolean; + + /** + * Respond to a permission request from the provider. + * Called when the user approves or denies a tool use in the UI. + */ + respondToPermission?(requestId: string, allow: boolean, message?: string): void; + + /** + * Callback invoked when the real session ID is resolved from the provider. + * Set by the SessionManager to remap its internal tracking key. + */ + onIdResolved?: (oldId: string, newId: string) => void; +} + +// --------------------------------------------------------------------------- +// Provider — the pluggable backend +// --------------------------------------------------------------------------- + +export interface AIProviderCapabilities { + /** Whether the provider supports forking from a parent session. */ + fork: boolean; + /** Whether the provider supports resuming a prior session by ID. */ + resume: boolean; + /** Whether the provider streams partial text deltas. */ + streaming: boolean; + /** Whether the provider can execute tools (read files, search, etc.). */ + tools: boolean; +} + +export interface CreateSessionOptions { + /** The context (plan, diff, file) to seed the session with. */ + context: AIContext; + /** + * Working directory override for the agent session. + * Falls back to the provider's configured cwd if omitted. + */ + cwd?: string; + /** + * Model override. Provider-specific string. + * Falls back to provider default if omitted. + */ + model?: string; + /** + * Maximum agentic turns for the session. + * Keeps inline chat cost-bounded. + */ + maxTurns?: number; + /** + * Maximum budget in USD for this session. + */ + maxBudgetUsd?: number; + /** + * Reasoning effort level (Codex only). + * Controls how much thinking the model does before responding. + */ + reasoningEffort?: "minimal" | "low" | "medium" | "high" | "xhigh"; +} + +/** + * An AI provider implements the bridge between Plannotator and a specific + * agent runtime. The provider is responsible for: + * + * 1. Creating new AI sessions seeded with review context + * 2. Forking from parent agent sessions to maintain conversation history + * 3. Streaming responses back as AIMessage events + * + * Providers are registered by name and selected at runtime based on the + * host environment (Claude Code → "claude-agent-sdk", OpenCode → "opencode-sdk"). + */ +export interface AIProvider { + /** Unique name for this provider (e.g. "claude-agent-sdk"). */ + readonly name: string; + + /** What this provider can do. */ + readonly capabilities: AIProviderCapabilities; + + /** Available models for this provider. */ + readonly models?: ReadonlyArray<{ id: string; label: string; default?: boolean }>; + + /** + * Create a fresh session (no parent history). + * Context is injected via the system prompt. + */ + createSession(options: CreateSessionOptions): Promise; + + /** + * Fork from a parent agent session. + * + * The new session inherits the parent's full conversation history + * (files read, analysis performed, decisions made) and additionally + * receives the Plannotator review context. This enables the user to + * ask contextual questions like "why did you change this function?" + * without the AI losing insight. + * + * Providers that don't support real forking MUST throw. The endpoint + * layer checks `capabilities.fork` before calling this, so it should + * only be reached by providers that genuinely support history inheritance. + */ + forkSession(options: CreateSessionOptions): Promise; + + /** + * Resume a previously created Plannotator AI session by its ID. + * Used when the user returns to a conversation they started earlier. + * + * If the provider doesn't support resuming, this should throw. + */ + resumeSession(sessionId: string): Promise; + + /** + * Clean up any resources held by the provider. + * Called when the server shuts down. + */ + dispose(): void; +} + +// --------------------------------------------------------------------------- +// Provider configuration +// --------------------------------------------------------------------------- + +/** + * Configuration passed to a provider factory. + * Each provider type may extend this with its own fields. + */ +export interface AIProviderConfig { + /** Provider type identifier (matches AIProvider.name). */ + type: string; + /** Working directory for the agent. */ + cwd?: string; + /** Default model to use. */ + model?: string; +} + +export interface ClaudeAgentSDKConfig extends AIProviderConfig { + type: "claude-agent-sdk"; + /** + * Tools the AI session is allowed to use. + * Defaults to read-only tools for safety in inline chat. + */ + allowedTools?: string[]; + /** + * Permission mode for the session. + * Defaults to "default" (inherits user's existing permission rules). + */ + permissionMode?: "default" | "plan" | "bypassPermissions"; + /** + * Explicit path to the claude CLI binary. + * Required when running inside a compiled binary where PATH resolution + * doesn't work the same way (e.g., bun build --compile). + */ + claudeExecutablePath?: string; + /** + * Setting sources to load permission rules from. + * Loads user's existing Claude Code permission rules so inline chat + * inherits what they've already approved. + */ + settingSources?: string[]; +} + +export interface CodexSDKConfig extends AIProviderConfig { + type: "codex-sdk"; + /** + * Sandbox mode controls what the Codex agent can do. + * Defaults to "read-only" for safety in inline chat. + */ + sandboxMode?: "read-only" | "workspace-write" | "danger-full-access"; + /** + * Explicit path to the codex CLI binary. + * Required when running inside a compiled binary where PATH resolution + * doesn't work the same way (e.g., bun build --compile). + */ + codexExecutablePath?: string; +} + +export interface PiSDKConfig extends AIProviderConfig { + type: "pi-sdk"; + /** + * Explicit path to the pi CLI binary. + * Required when running inside a compiled binary where PATH resolution + * doesn't work the same way (e.g., bun build --compile). + */ + piExecutablePath?: string; +} + +export interface OpenCodeConfig extends AIProviderConfig { + type: "opencode-sdk"; + /** Hostname for the OpenCode server. Default: "127.0.0.1". */ + hostname?: string; + /** Port for the OpenCode server. Default: 4096. */ + port?: number; +} diff --git a/extensions/plannotator/generated/annotate-args.ts b/extensions/plannotator/generated/annotate-args.ts new file mode 100644 index 0000000..289591c --- /dev/null +++ b/extensions/plannotator/generated/annotate-args.ts @@ -0,0 +1,104 @@ +// @generated — DO NOT EDIT. Source: packages/shared/annotate-args.ts +/** + * Parse CLI-style args arriving as a single whitespace-delimited string. + * + * Extracts the `--gate`, `--json`, and `--hook` flags (issue #570) + * from the remainder, which is treated as the target path. Leading `@` is + * stripped via the shared at-reference helper — reference-mode is primary. + * Scoped-package-style literal `@` paths are handled by a fallback that the + * downstream resolver opts into (see at-reference.ts). + * + * Used by the OpenCode plugin and Pi extension, where the whole args string + * arrives pre-joined from the harness slash-command dispatcher. The Claude + * Code binary parses argv directly with indexOf/splice and does not use + * this helper. + * + * Implementation: walks the raw string once, preserving whitespace runs and + * non-whitespace tokens as separate segments. Only known flag tokens + * (whole-word match) plus one adjacent whitespace run are removed. + * This keeps double-spaces and tabs inside file paths intact — which + * matches the pre-PR behavior on `main`, where OpenCode and Pi passed + * the raw args string straight through to the filesystem resolver. + * + * Remaining edge: if a path literally contains a known flag as a standalone + * whitespace-separated token (e.g. `"Feature --gate spec.md"`), that token + * is stripped. Supporting this would need shell-style quoting, which isn't + * worth the complexity for a vanishingly rare naming pattern. + */ + +import { stripAtPrefix } from "./at-reference"; +import { stripWrappingQuotes } from "./resolve-file"; + +export interface ParsedAnnotateArgs { + /** + * Primary resolution path with any leading `@` stripped (reference-mode + * convention). Most call sites should use this directly. + */ + filePath: string; + /** + * Raw path with the `@` prefix preserved (if the user supplied one). + * Callers that want the literal-`@` fallback for scoped-package-style + * paths pair this with `resolveAtReference` from at-reference.ts. + */ + rawFilePath: string; + gate: boolean; + json: boolean; + hook: boolean; +} + +type Segment = { type: "ws" | "tok"; text: string }; + +const FLAG_MAP = { + "--gate": "gate", + "--json": "json", + "--hook": "hook", +} as const satisfies Record>; + +export function parseAnnotateArgs(raw: string): ParsedAnnotateArgs { + const s = (raw ?? "").trim(); + const flags = { gate: false, json: false, hook: false }; + + const segments: Segment[] = []; + for (let i = 0; i < s.length;) { + const isWs = /\s/.test(s[i]); + const start = i; + while (i < s.length && /\s/.test(s[i]) === isWs) i++; + segments.push({ type: isWs ? "ws" : "tok", text: s.slice(start, i) }); + } + + const keep = segments.map(() => true); + for (let j = 0; j < segments.length; j++) { + const seg = segments[j]; + if (seg.type !== "tok") continue; + const key = FLAG_MAP[seg.text as keyof typeof FLAG_MAP]; + if (!key) continue; + + flags[key] = true; + keep[j] = false; + + // Drop one adjacent whitespace run so removed flags don't leave dangling + // spaces. Prefer trailing whitespace; fall back to leading if at the end. + if (j + 1 < segments.length && segments[j + 1].type === "ws") { + keep[j + 1] = false; + } else if (j > 0 && segments[j - 1].type === "ws") { + keep[j - 1] = false; + } + } + + // Trim covers the case where two adjacent flags (`... --gate --json`) + // both claim the single whitespace between them, leaving a trailing space + // after the kept token. Wrapping quotes come from OpenCode/Pi users who + // quote paths with spaces (shell muscle memory); strip them here so + // downstream callers never see tokenization artifacts. + const rawFilePath = stripWrappingQuotes( + segments + .filter((_, j) => keep[j]) + .map((seg) => seg.text) + .join("") + .trim(), + ); + + if (flags.hook) flags.gate = true; + + return { filePath: stripAtPrefix(rawFilePath), rawFilePath, ...flags }; +} diff --git a/extensions/plannotator/generated/at-reference.ts b/extensions/plannotator/generated/at-reference.ts new file mode 100644 index 0000000..7a4dd8c --- /dev/null +++ b/extensions/plannotator/generated/at-reference.ts @@ -0,0 +1,53 @@ +// @generated — DO NOT EDIT. Source: packages/shared/at-reference.ts +/** + * `@`-reference handling for user-provided paths. + * + * Several agent harnesses (Claude Code, OpenCode, Pi) let users reference + * files with an `@` prefix, e.g. `@README.md`. The `@` is the team's + * reference marker, not part of the filename. Stripping it is the primary + * resolution path — that's the common case and it's supported first-class. + * + * The secondary path handles scoped-package-style names like + * `@scope/pkg/README.md`: if the stripped form doesn't resolve, fall back + * to the literal form so those paths still open. + * + * Both functions are pure and take any filesystem-ish predicate via a + * callback, so they're trivial to unit-test without stubbing anything. + */ + +import { stripWrappingQuotes } from "./resolve-file"; + +/** + * Normalize a user-typed path reference by unwrapping matching `"..."` or + * `'...'` quotes and removing a single leading `@`. Quotes come from + * harnesses that tokenize on whitespace (OpenCode, Pi), where paths + * containing spaces have to be quoted. The quote-stripping has to run + * first so the `@` check sees the real first character. + * + * Non-`@` inputs are returned unchanged except for quote unwrapping. + * Does not recurse: `@@foo` becomes `@foo`, not `foo`. + */ +export function stripAtPrefix(input: string): string { + const unquoted = stripWrappingQuotes(input); + return unquoted.startsWith("@") ? unquoted.slice(1) : unquoted; +} + +/** + * Resolve an `@`-prefixed user input by trying the stripped form first + * (reference mode, primary) and falling back to the literal form if the + * stripped form doesn't resolve. Returns the candidate that resolves, or + * null if neither does. + * + * `exists` defines what "resolves" means — use `existsSync` for a bare + * filesystem check, or wrap `resolveMarkdownFile` / `statSync` for richer + * predicates. The helper itself is filesystem-agnostic. + */ +export function resolveAtReference( + input: string, + exists: (candidate: string) => boolean, +): string | null { + const stripped = stripAtPrefix(input); + if (exists(stripped)) return stripped; + if (stripped !== input && exists(input)) return input; + return null; +} diff --git a/extensions/plannotator/generated/checklist.ts b/extensions/plannotator/generated/checklist.ts new file mode 100644 index 0000000..f30933f --- /dev/null +++ b/extensions/plannotator/generated/checklist.ts @@ -0,0 +1,53 @@ +// @generated — DO NOT EDIT. Source: packages/shared/checklist.ts +/** + * Checklist parsing and progress tracking utilities. + * + * Shared between Pi extension and OpenCode plugin for plan execution tracking. + */ + +export interface ChecklistItem { + /** 1-based step number, compatible with markCompletedSteps/extractDoneSteps. */ + step: number; + text: string; + completed: boolean; +} + +/** + * Parse standard markdown checkboxes from file content. + * + * Matches lines like: + * - [ ] Step description + * - [x] Completed step + * * [ ] Alternative bullet + */ +export function parseChecklist(content: string): ChecklistItem[] { + const items: ChecklistItem[] = []; + const pattern = /^[-*]\s*\[([ xX])\]\s+(.+)$/gm; + + for (const match of content.matchAll(pattern)) { + const completed = match[1] !== " "; + const text = match[2].trim(); + if (text.length > 0) { + items.push({ step: items.length + 1, text, completed }); + } + } + return items; +} + +export function extractDoneSteps(message: string): number[] { + const steps: number[] = []; + for (const match of message.matchAll(/\[DONE:(\d+)\]/gi)) { + const step = Number(match[1]); + if (Number.isFinite(step)) steps.push(step); + } + return steps; +} + +export function markCompletedSteps(text: string, items: ChecklistItem[]): number { + const doneSteps = extractDoneSteps(text); + for (const step of doneSteps) { + const item = items.find((t) => t.step === step); + if (item) item.completed = true; + } + return doneSteps.length; +} diff --git a/extensions/plannotator/generated/claude-review.ts b/extensions/plannotator/generated/claude-review.ts new file mode 100644 index 0000000..717d4cc --- /dev/null +++ b/extensions/plannotator/generated/claude-review.ts @@ -0,0 +1,346 @@ +// @generated — DO NOT EDIT. Source: packages/server/claude-review.ts +import { toRelativePath } from "./path-utils.js"; + +/** + * Claude Code Review Agent — prompt, command builder, and JSONL output parser. + * + * Claude has its own review model (severity-based findings with reasoning traces) + * separate from Codex's priority-based model. The transform layer normalizes + * both into the shared annotation format. + * + * Claude uses --json-schema (inline JSON + Ajv validation with retries) and + * --output-format stream-json for live JSONL streaming. The final event is + * type:"result" with structured_output containing validated findings. + */ + +// --------------------------------------------------------------------------- +// Types +// --------------------------------------------------------------------------- + +export type ClaudeSeverity = "important" | "nit" | "pre_existing"; + +export interface ClaudeFinding { + severity: ClaudeSeverity; + file: string; + line: number; + end_line: number; + description: string; + reasoning: string; +} + +export interface ClaudeReviewOutput { + findings: ClaudeFinding[]; + summary: { + important: number; + nit: number; + pre_existing: number; + }; +} + +// --------------------------------------------------------------------------- +// Schema — Claude's own severity-based model +// --------------------------------------------------------------------------- + +export const CLAUDE_REVIEW_SCHEMA_JSON = JSON.stringify({ + type: "object", + properties: { + findings: { + type: "array", + items: { + type: "object", + properties: { + severity: { type: "string", enum: ["important", "nit", "pre_existing"] }, + file: { type: "string" }, + line: { type: "integer" }, + end_line: { type: "integer" }, + description: { type: "string" }, + reasoning: { type: "string" }, + }, + required: ["severity", "file", "line", "end_line", "description", "reasoning"], + additionalProperties: false, + }, + }, + summary: { + type: "object", + properties: { + important: { type: "integer" }, + nit: { type: "integer" }, + pre_existing: { type: "integer" }, + }, + required: ["important", "nit", "pre_existing"], + additionalProperties: false, + }, + }, + required: ["findings", "summary"], + additionalProperties: false, +}); + +// --------------------------------------------------------------------------- +// Review prompt — converges open-source Claude Code review + remote service +// --------------------------------------------------------------------------- + +export const CLAUDE_REVIEW_PROMPT = `# Claude Code Review System Prompt + +## Identity +You are a code review system. Your job is to find bugs that would break +production. You are not a linter, formatter, or style checker unless +project guidance files explicitly expand your scope. + +## Pipeline + +Step 1: Gather context + - Retrieve the PR diff (gh pr diff or git diff) + - Read CLAUDE.md and REVIEW.md at the repo root and in every directory + containing modified files + - Build a map of which rules apply to which file paths + - Identify any skip rules (paths, patterns, or file types to ignore) + +Step 2: Launch 4 parallel review agents + + Agent 1 — Bug + Regression (Opus-level reasoning) + Scan for logic errors, regressions, broken edge cases, build failures, + and code that will produce wrong results. Focus on the diff but read + surrounding code to understand call sites and data flow. Flag only + issues where the code is demonstrably wrong — not stylistic concerns, + not missing tests, not "could be cleaner." + + Agent 2 — Security + Deep Analysis (Opus-level reasoning) + Look for security vulnerabilities with concrete exploit paths, race + conditions, incorrect assumptions about trust boundaries, and subtle + issues in introduced code. Read surrounding code for context. Do not + flag theoretical risks without a plausible path to harm. + + Agent 3 — Code Quality + Reusability (Sonnet-level reasoning) + Look for code smells, unnecessary duplication, missed opportunities to + reuse existing utilities or patterns in the codebase, overly complex + implementations that could be simpler, and elegance issues. Read the + surrounding codebase to understand existing patterns before flagging. + Only flag issues a senior engineer would care about. + + Agent 4 — Guideline Compliance (Haiku-level reasoning) + Audit changes against rules from CLAUDE.md and REVIEW.md gathered in + Step 1. Only flag clear, unambiguous violations where you can cite the + exact rule broken. If a PR makes a CLAUDE.md statement outdated, flag + that the docs need updating. Respect all skip rules — never flag files + or patterns that guidance says to ignore. + + All agents: + - Do not duplicate each other's findings + - Do not flag issues in paths excluded by guidance files + - Provide file, line number, and a concise description for each candidate + +Step 3: Validate each candidate finding + For each candidate, launch a validation agent. The validator: + - Traces the actual code path to confirm the issue is real + - Checks whether the issue is handled elsewhere (try/catch, upstream + guard, fallback logic, type system guarantees) + - Confirms the finding is not a false positive with high confidence + - If validation fails, drop the finding silently + - If validation passes, write a clear reasoning chain explaining how + the issue was confirmed — this becomes the \`reasoning\` field + +Step 4: Classify each validated finding + Assign exactly one severity: + + important — A bug that should be fixed before merging. Build failures, + clear logic errors, security vulnerabilities with exploit paths, data + loss risks, race conditions with observable consequences. + + nit — A minor issue worth fixing but non-blocking. Style deviations + from project guidelines, code quality concerns, edge cases that are + unlikely but worth noting, convention violations that don't affect + correctness. + + pre_existing — A bug that exists in the surrounding codebase but was + NOT introduced by this PR. Only flag when directly relevant to the + changed code path. + +Step 5: Deduplicate and rank + - Merge findings that describe the same underlying issue from different + agents — keep the most specific description and the highest severity + - Sort by severity: important → nit → pre_existing + - Within each severity, sort by file path and line number + +Step 6: Return structured JSON output matching the schema. + If no issues are found, return an empty findings array with zeroed summary. + +## Hard constraints +- Never approve or block the PR +- Never comment on formatting or code style unless guidance files say to +- Never flag missing test coverage unless guidance files say to +- Never invent rules — only enforce what CLAUDE.md or REVIEW.md state +- Never flag issues in skipped paths or generated files unless guidance + explicitly includes them +- Prefer silence over false positives — when in doubt, drop the finding +- Do NOT post any comments to GitHub or GitLab +- Do NOT use gh pr comment or any commenting tool +- Your only output is the structured JSON findings`; + +// --------------------------------------------------------------------------- +// Command builder +// --------------------------------------------------------------------------- + +export interface ClaudeCommandResult { + command: string[]; + /** Prompt text to write to stdin (Claude reads prompt from stdin, not argv). */ + stdinPrompt: string; +} + +/** + * Build the `claude -p` command. Prompt is passed via stdin, not as a + * positional arg — avoids quoting issues, argv limits, and variadic flag conflicts. + */ +export function buildClaudeCommand(prompt: string, model: string = "claude-opus-4-7", effort?: string): ClaudeCommandResult { + const allowedTools = [ + "Agent", "Read", "Glob", "Grep", + // GitHub CLI + "Bash(gh pr view:*)", "Bash(gh pr diff:*)", "Bash(gh pr list:*)", + "Bash(gh issue view:*)", "Bash(gh issue list:*)", + "Bash(gh api repos/*/*/pulls/*)", "Bash(gh api repos/*/*/pulls/*/files*)", + "Bash(gh api repos/*/*/pulls/*/comments*)", "Bash(gh api repos/*/*/issues/*/comments*)", + // GitLab CLI + "Bash(glab mr view:*)", "Bash(glab mr diff:*)", "Bash(glab mr list:*)", + "Bash(glab api:*)", + // Git (read-only) + "Bash(git status:*)", "Bash(git diff:*)", "Bash(git log:*)", + "Bash(git show:*)", "Bash(git blame:*)", "Bash(git branch:*)", + "Bash(git grep:*)", "Bash(git ls-remote:*)", "Bash(git ls-tree:*)", + "Bash(git merge-base:*)", "Bash(git remote:*)", "Bash(git rev-parse:*)", + "Bash(git show-ref:*)", + "Bash(wc:*)", + ].join(","); + + const disallowedTools = [ + "Edit", "Write", "NotebookEdit", "WebFetch", "WebSearch", + "Bash(python:*)", "Bash(python3:*)", "Bash(node:*)", "Bash(npx:*)", + "Bash(bun:*)", "Bash(bunx:*)", "Bash(sh:*)", "Bash(bash:*)", "Bash(zsh:*)", + "Bash(curl:*)", "Bash(wget:*)", + ].join(","); + + return { + command: [ + "claude", "-p", + "--permission-mode", "dontAsk", + "--output-format", "stream-json", + "--verbose", + "--json-schema", CLAUDE_REVIEW_SCHEMA_JSON, + "--no-session-persistence", + "--model", model, + ...(effort ? ["--effort", effort] : []), + "--tools", "Agent,Bash,Read,Glob,Grep", + "--allowedTools", allowedTools, + "--disallowedTools", disallowedTools, + ], + stdinPrompt: prompt, + }; +} + +// --------------------------------------------------------------------------- +// JSONL stream output parser +// --------------------------------------------------------------------------- + +/** + * Parse Claude Code's stream-json output (JSONL). + * Extracts structured_output from the final type:"result" event. + */ +export function parseClaudeStreamOutput(stdout: string): ClaudeReviewOutput | null { + if (!stdout.trim()) return null; + + const lines = stdout.trim().split('\n'); + for (let i = lines.length - 1; i >= 0; i--) { + const line = lines[i].trim(); + if (!line) continue; + + try { + const event = JSON.parse(line); + + if (event.type === 'result') { + if (event.is_error) return null; + + const output = event.structured_output; + if (!output || !Array.isArray(output.findings)) return null; + + return output as ClaudeReviewOutput; + } + } catch { + // Not valid JSON — skip + } + } + + return null; +} + +// --------------------------------------------------------------------------- +// Finding transform — Claude findings → external annotations +// --------------------------------------------------------------------------- + +/** Transform Claude findings into the external annotation format. */ +export function transformClaudeFindings( + findings: ClaudeFinding[], + source: string, + cwd?: string, +): Array<{ + source: string; + filePath: string; + lineStart: number; + lineEnd: number; + type: string; + side: string; + scope: string; + text: string; + severity: ClaudeSeverity; + reasoning: string; + author: string; +}> { + return findings + .filter(f => f.file && typeof f.line === "number") + .map(f => ({ + source, + filePath: toRelativePath(f.file, cwd), + lineStart: f.line, + lineEnd: f.end_line ?? f.line, + type: "comment", + side: "new", + scope: "line", + text: `[${f.severity}] ${f.description}`, + severity: f.severity, + reasoning: f.reasoning, + author: "Claude Code", + })); +} + +// --------------------------------------------------------------------------- +// Live log formatter +// --------------------------------------------------------------------------- + +/** + * Extract log-worthy content from a JSONL line for the LiveLogViewer. + * Returns a human-readable string, or null if the line should be skipped. + */ +export function formatClaudeLogEvent(line: string): string | null { + try { + const event = JSON.parse(line); + + // Skip the final result event — handled separately + if (event.type === 'result') return null; + + // Assistant messages (the agent's thinking/responses) + if (event.type === 'assistant' && event.message?.content) { + const parts = Array.isArray(event.message.content) ? event.message.content : [event.message.content]; + const texts = parts + .filter((p: any) => p.type === 'text' && p.text) + .map((p: any) => p.text); + if (texts.length > 0) return texts.join('\n'); + + // Tool use events (only reached if no text parts found) + const tools = parts.filter((p: any) => p.type === 'tool_use'); + if (tools.length > 0) { + return tools.map((t: any) => `[${t.name}] ${typeof t.input === 'string' ? t.input.slice(0, 100) : JSON.stringify(t.input).slice(0, 100)}`).join('\n'); + } + } + + return null; + } catch { + return null; + } +} diff --git a/extensions/plannotator/generated/code-file.ts b/extensions/plannotator/generated/code-file.ts new file mode 100644 index 0000000..829c1bd --- /dev/null +++ b/extensions/plannotator/generated/code-file.ts @@ -0,0 +1,20 @@ +// @generated — DO NOT EDIT. Source: packages/shared/code-file.ts +export const CODE_FILE_REGEX = /(?:\.(tsx?|jsx?|py|rb|go|rs|java|c|cpp|h|hpp|cs|swift|kt|scala|sh|bash|zsh|sql|graphql|json|ya?ml|toml|ini|css|scss|less|xml|tf|lua|r|dart|ex|exs|vue|svelte|astro|zig|proto)|(?:^|\/)(Dockerfile|Makefile|Rakefile|Gemfile|Procfile|Vagrantfile|Brewfile|Justfile))$/i; + +export const CODE_PATH_BARE_REGEX = /(?:\.{0,2}\/)?(?:[a-zA-Z0-9_@.\-\[\]]+\/)+[a-zA-Z0-9_.\-\[\]]+\.[a-zA-Z0-9]+/g; + +const IMPLAUSIBLE_CHARS = /[{},*?\s]/; + +export function isPlausibleCodeFilePath(input: string): boolean { + return !IMPLAUSIBLE_CHARS.test(input); +} + +export function isCodeFilePath(input: string): boolean { + if (!isPlausibleCodeFilePath(input)) return false; + return CODE_FILE_REGEX.test(input.replace(/#.*$/, '')) + && !input.startsWith('http://') && !input.startsWith('https://'); +} + +export function isCodeFilePathStrict(input: string): boolean { + return input.includes('/') && isCodeFilePath(input); +} diff --git a/extensions/plannotator/generated/codex-review.ts b/extensions/plannotator/generated/codex-review.ts new file mode 100644 index 0000000..a4cc2e2 --- /dev/null +++ b/extensions/plannotator/generated/codex-review.ts @@ -0,0 +1,408 @@ +// @generated — DO NOT EDIT. Source: packages/server/codex-review.ts +/** + * Codex Review Agent — prompt, command builder, output parser, and finding transformer. + * + * Encapsulates all Codex-specific logic for the AI review agent integration. + * The review server (review.ts) calls into this module via the agent-jobs callbacks. + */ + +import { join } from "node:path"; +import { homedir, tmpdir } from "node:os"; +import { appendFile, mkdir, unlink, writeFile, readFile } from "node:fs/promises"; +import { existsSync } from "node:fs"; +import type { DiffType } from "./review-core.js"; +import type { PRMetadata } from "./pr-provider.js"; +import { toRelativePath } from "./path-utils.js"; + +// --------------------------------------------------------------------------- +// Debug log — only active when PLANNOTATOR_DEBUG is set +// --------------------------------------------------------------------------- + +const DEBUG_ENABLED = !!process.env.PLANNOTATOR_DEBUG; +const DEBUG_LOG_PATH = join(homedir(), ".plannotator", "codex-review-debug.log"); + +async function debugLog(label: string, data?: unknown): Promise { + if (!DEBUG_ENABLED) return; + try { + await mkdir(join(homedir(), ".plannotator"), { recursive: true }); + const timestamp = new Date().toISOString(); + const line = data !== undefined + ? `[${timestamp}] ${label}: ${typeof data === "string" ? data : JSON.stringify(data, null, 2)}\n` + : `[${timestamp}] ${label}\n`; + await appendFile(DEBUG_LOG_PATH, line); + } catch { /* never fail the main flow */ } +} + +// --------------------------------------------------------------------------- +// Schema — embedded as a string, written to disk on first use. +// Bun's compiled binary uses a virtual FS that external processes (codex) +// can't read, so we materialize the schema to a real file. +// --------------------------------------------------------------------------- + +const CODEX_REVIEW_SCHEMA = JSON.stringify({ + type: "object", + properties: { + findings: { + type: "array", + items: { + type: "object", + properties: { + title: { type: "string" }, + body: { type: "string" }, + confidence_score: { type: "number" }, + priority: { type: ["integer", "null"] }, + code_location: { + type: "object", + properties: { + absolute_file_path: { type: "string" }, + line_range: { + type: "object", + properties: { + start: { type: "integer" }, + end: { type: "integer" }, + }, + required: ["start", "end"], + additionalProperties: false, + }, + }, + required: ["absolute_file_path", "line_range"], + additionalProperties: false, + }, + }, + required: ["title", "body", "confidence_score", "priority", "code_location"], + additionalProperties: false, + }, + }, + overall_correctness: { type: "string" }, + overall_explanation: { type: "string" }, + overall_confidence_score: { type: "number" }, + }, + required: ["findings", "overall_correctness", "overall_explanation", "overall_confidence_score"], + additionalProperties: false, +}); + +const SCHEMA_DIR = join(homedir(), ".plannotator"); +const SCHEMA_FILE = join(SCHEMA_DIR, "codex-review-schema.json"); +let schemaMaterialized = false; + +/** Ensure the schema file exists on disk and return its path. */ +async function ensureSchemaFile(): Promise { + if (!schemaMaterialized) { + await mkdir(SCHEMA_DIR, { recursive: true }); + await writeFile(SCHEMA_FILE, CODEX_REVIEW_SCHEMA); + schemaMaterialized = true; + } + return SCHEMA_FILE; +} + +export { SCHEMA_FILE as CODEX_REVIEW_SCHEMA_PATH }; + +// --------------------------------------------------------------------------- +// System prompt — copied verbatim from codex-rs/core/review_prompt.md +// --------------------------------------------------------------------------- + +export const CODEX_REVIEW_SYSTEM_PROMPT = `# Review guidelines: + +You are acting as a reviewer for a proposed code change made by another engineer. + +Below are some default guidelines for determining whether the original author would appreciate the issue being flagged. + +These are not the final word in determining whether an issue is a bug. In many cases, you will encounter other, more specific guidelines. These may be present elsewhere in a developer message, a user message, a file, or even elsewhere in this system message. +Those guidelines should be considered to override these general instructions. + +Here are the general guidelines for determining whether something is a bug and should be flagged. + +1. It meaningfully impacts the accuracy, performance, security, or maintainability of the code. +2. The bug is discrete and actionable (i.e. not a general issue with the codebase or a combination of multiple issues). +3. Fixing the bug does not demand a level of rigor that is not present in the rest of the codebase (e.g. one doesn't need very detailed comments and input validation in a repository of one-off scripts in personal projects) +4. The bug was introduced in the commit (pre-existing bugs should not be flagged). +5. The author of the original PR would likely fix the issue if they were made aware of it. +6. The bug does not rely on unstated assumptions about the codebase or author's intent. +7. It is not enough to speculate that a change may disrupt another part of the codebase, to be considered a bug, one must identify the other parts of the code that are provably affected. +8. The bug is clearly not just an intentional change by the original author. + +When flagging a bug, you will also provide an accompanying comment. Once again, these guidelines are not the final word on how to construct a comment -- defer to any subsequent guidelines that you encounter. + +1. The comment should be clear about why the issue is a bug. +2. The comment should appropriately communicate the severity of the issue. It should not claim that an issue is more severe than it actually is. +3. The comment should be brief. The body should be at most 1 paragraph. It should not introduce line breaks within the natural language flow unless it is necessary for the code fragment. +4. The comment should not include any chunks of code longer than 3 lines. Any code chunks should be wrapped in markdown inline code tags or a code block. +5. The comment should clearly and explicitly communicate the scenarios, environments, or inputs that are necessary for the bug to arise. The comment should immediately indicate that the issue's severity depends on these factors. +6. The comment's tone should be matter-of-fact and not accusatory or overly positive. It should read as a helpful AI assistant suggestion without sounding too much like a human reviewer. +7. The comment should be written such that the original author can immediately grasp the idea without close reading. +8. The comment should avoid excessive flattery and comments that are not helpful to the original author. The comment should avoid phrasing like "Great job ...", "Thanks for ...". + +Below are some more detailed guidelines that you should apply to this specific review. + +HOW MANY FINDINGS TO RETURN: + +Output all findings that the original author would fix if they knew about it. If there is no finding that a person would definitely love to see and fix, prefer outputting no findings. Do not stop at the first qualifying finding. Continue until you've listed every qualifying finding. + +GUIDELINES: + +- Ignore trivial style unless it obscures meaning or violates documented standards. +- Use one comment per distinct issue (or a multi-line range if necessary). +- Use \`\`\`suggestion blocks ONLY for concrete replacement code (minimal lines; no commentary inside the block). +- In every \`\`\`suggestion block, preserve the exact leading whitespace of the replaced lines (spaces vs tabs, number of spaces). +- Do NOT introduce or remove outer indentation levels unless that is the actual fix. + +The comments will be presented in the code review as inline comments. You should avoid providing unnecessary location details in the comment body. Always keep the line range as short as possible for interpreting the issue. Avoid ranges longer than 5–10 lines; instead, choose the most suitable subrange that pinpoints the problem. + +At the beginning of the finding title, tag the bug with priority level. For example "[P1] Un-padding slices along wrong tensor dimensions". [P0] – Drop everything to fix. Blocking release, operations, or major usage. Only use for universal issues that do not depend on any assumptions about the inputs. · [P1] – Urgent. Should be addressed in the next cycle · [P2] – Normal. To be fixed eventually · [P3] – Low. Nice to have. + +Additionally, include a numeric priority field in the JSON output for each finding: set "priority" to 0 for P0, 1 for P1, 2 for P2, or 3 for P3. If a priority cannot be determined, omit the field or use null. + +At the end of your findings, output an "overall correctness" verdict of whether or not the patch should be considered "correct". +Correct implies that existing code and tests will not break, and the patch is free of bugs and other blocking issues. +Ignore non-blocking issues such as style, formatting, typos, documentation, and other nits. + +FORMATTING GUIDELINES: +The finding description should be one paragraph.`; + +// --------------------------------------------------------------------------- +// User message builder +// --------------------------------------------------------------------------- + +/** Build the dynamic user message based on review context. */ +export function buildCodexReviewUserMessage( + patch: string, + diffType: DiffType, + options?: { defaultBranch?: string; hasLocalAccess?: boolean; prDiffScope?: string }, + prMetadata?: PRMetadata, +): string { + // PR/MR mode — pass the link, with local context if --local + if (prMetadata) { + if (options?.prDiffScope === "full-stack") { + return [ + `Full-stack review of ${prMetadata.url}`, + "", + "This is a stacked PR. The diff below shows ALL accumulated changes from the repository default branch through this PR's head (not just this PR's own layer).", + "Review the complete diff for issues that span the stack.", + "", + "```diff", + patch, + "```", + ].join("\n"); + } + if (options?.hasLocalAccess) { + return [ + prMetadata.url, + "", + "You are in a local worktree checked out at the PR head. The code is available locally.", + `To see the PR changes, diff against the remote base branch: git diff origin/${prMetadata.baseBranch}...HEAD`, + "Do NOT diff against the local `main` branch — it may be stale. Always use origin/.", + ].join("\n"); + } + return prMetadata.url; + } + + // Local mode — Codex has full file/git access + const effectiveDiffType = diffType.startsWith("worktree:") + ? diffType.split(":").pop() || "uncommitted" + : diffType; + + switch (effectiveDiffType) { + case "uncommitted": + return "Review the current code changes (staged, unstaged, and untracked files) and provide prioritized findings."; + + case "staged": + return "Review the currently staged code changes (`git diff --staged`) and provide prioritized findings."; + + case "unstaged": + return "Review the unstaged code changes (tracked modifications and untracked files) and provide prioritized findings."; + + case "last-commit": + return "Review the code changes introduced in the last commit (`git diff HEAD~1..HEAD`) and provide prioritized findings."; + + case "branch": { + const base = options?.defaultBranch || "main"; + return `Review the code changes against the base branch '${base}'. Run \`git diff ${base}..HEAD\` to inspect the changes. Provide prioritized, actionable findings.`; + } + + case "merge-base": { + const base = options?.defaultBranch || "main"; + return `Review the PR-style diff against base '${base}'. First find the common ancestor with \`git merge-base ${base} HEAD\`, then run \`git diff ..HEAD\` using that commit to inspect only the changes introduced on this branch (matches GitHub's PR view). Provide prioritized, actionable findings.`; + } + + case "all": + return "Review every file in the repository (all files shown as additions, diffed against an empty tree). Provide prioritized, actionable findings."; + + default: + // p4 or unknown — fall back to generic with inlined diff + return [ + "Review the following code changes and provide prioritized findings.", + "", + "```diff", + patch, + "```", + ].join("\n"); + } +} + +// --------------------------------------------------------------------------- +// Command builder +// --------------------------------------------------------------------------- + +export interface CodexCommandOptions { + cwd: string; + outputPath: string; + prompt: string; + model?: string; + reasoningEffort?: string; + fastMode?: boolean; +} + +/** Build the `codex exec` argv array. Materializes the schema file on first call. */ +export async function buildCodexCommand(options: CodexCommandOptions): Promise { + const { cwd, outputPath, prompt, model, reasoningEffort, fastMode } = options; + const schemaPath = await ensureSchemaFile(); + + const command = [ + "codex", + ...(model ? ["-m", model] : []), + ...(reasoningEffort ? ["-c", `model_reasoning_effort=${reasoningEffort}`] : []), + ...(fastMode ? ["-c", "service_tier=fast"] : []), + "exec", + "--output-schema", schemaPath, + "-o", outputPath, + "--full-auto", + "--ephemeral", + "-C", cwd, + prompt, + ]; + + debugLog("BUILD_COMMAND", { + cwd, + outputPath, + schemaPath, + promptLength: prompt.length, + command: command.map((c, i) => i === command.length - 1 ? `` : c), + }); + + return command; +} + +/** Generate a unique temp file path for Codex output. */ +export function generateOutputPath(): string { + return join(tmpdir(), `plannotator-codex-${crypto.randomUUID()}.json`); +} + +// --------------------------------------------------------------------------- +// Output parsing — matches Codex's native ReviewOutputEvent schema +// --------------------------------------------------------------------------- + +export interface CodexCodeLocation { + absolute_file_path: string; + line_range: { start: number; end: number }; +} + +export interface CodexFinding { + title: string; + body: string; + confidence_score: number; + priority: number | null; + code_location: CodexCodeLocation; +} + +export interface CodexReviewOutput { + findings: CodexFinding[]; + overall_correctness: string; + overall_explanation: string; + overall_confidence_score: number; +} + +/** Read and parse the Codex -o output file. Returns null on any failure. */ +export async function parseCodexOutput(outputPath: string): Promise { + await debugLog("PARSE_OUTPUT_START", { outputPath }); + + try { + if (!existsSync(outputPath)) { + await debugLog("PARSE_OUTPUT_FILE_MISSING", outputPath); + return null; + } + + const text = await readFile(outputPath, "utf-8"); + + // Clean up temp file + try { await unlink(outputPath); } catch { /* ignore */ } + + if (!text.trim()) { + await debugLog("PARSE_OUTPUT_EMPTY"); + return null; + } + + const parsed = JSON.parse(text); + if (!parsed || !Array.isArray(parsed.findings)) { + await debugLog("PARSE_OUTPUT_INVALID_SHAPE", { hasFindings: !!parsed?.findings }); + return null; + } + + await debugLog("PARSE_OUTPUT_SUCCESS", { + findingsCount: parsed.findings.length, + overall_correctness: parsed.overall_correctness, + overall_confidence_score: parsed.overall_confidence_score, + }); + + return parsed as CodexReviewOutput; + } catch (err) { + await debugLog("PARSE_OUTPUT_ERROR", err instanceof Error ? err.message : String(err)); + // Clean up on error too + try { await unlink(outputPath); } catch { /* ignore */ } + return null; + } +} + +// --------------------------------------------------------------------------- +// Finding → external annotation transform +// --------------------------------------------------------------------------- + +export interface ReviewAnnotationInput { + source: string; + filePath: string; + lineStart: number; + lineEnd: number; + type: string; + side: string; + scope: string; + text: string; + author: string; +} + +/** Transform review findings (provider-agnostic) into the external annotation format. */ +export function transformReviewFindings( + findings: CodexFinding[], + source: string, + cwd?: string, + author?: string, +): ReviewAnnotationInput[] { + const annotations = findings + .filter((f) => + f.code_location?.absolute_file_path && + typeof f.code_location?.line_range?.start === "number" && + typeof f.code_location?.line_range?.end === "number" + ) + .map((f) => ({ + source, + filePath: toRelativePath(f.code_location.absolute_file_path, cwd), + lineStart: f.code_location.line_range.start, + lineEnd: f.code_location.line_range.end, + type: "comment", + side: "new", + scope: "line", + text: `${f.title}\n\n${f.body}`.trim(), + author: author ?? "Review Agent", + })); + + debugLog("TRANSFORM_FINDINGS", { + inputCount: findings.length, + outputCount: annotations.length, + annotations: annotations.map((a) => ({ + filePath: a.filePath, + lineStart: a.lineStart, + lineEnd: a.lineEnd, + textPreview: a.text.slice(0, 80), + })), + }); + + return annotations; +} diff --git a/extensions/plannotator/generated/config.ts b/extensions/plannotator/generated/config.ts new file mode 100644 index 0000000..59f95ad --- /dev/null +++ b/extensions/plannotator/generated/config.ts @@ -0,0 +1,227 @@ +// @generated — DO NOT EDIT. Source: packages/shared/config.ts +/** + * Plannotator Config + * + * Reads/writes ~/.plannotator/config.json for persistent user settings. + * Runtime-agnostic: uses only node:fs, node:os, node:child_process. + */ + +import { homedir } from "os"; +import { join } from "path"; +import { readFileSync, writeFileSync, mkdirSync, existsSync } from "fs"; +import { execSync } from "child_process"; + +export type DefaultDiffType = 'uncommitted' | 'unstaged' | 'staged' | 'merge-base' | 'all'; + +export interface DiffOptions { + diffStyle?: 'split' | 'unified'; + overflow?: 'scroll' | 'wrap'; + diffIndicators?: 'bars' | 'classic' | 'none'; + lineDiffType?: 'word-alt' | 'word' | 'char' | 'none'; + showLineNumbers?: boolean; + showDiffBackground?: boolean; + fontFamily?: string; + fontSize?: string; + hideWhitespace?: boolean; + defaultDiffType?: DefaultDiffType; +} + +/** Single conventional comment label entry stored in config.json */ +export interface CCLabelConfig { + label: string; + display: string; + blocking: boolean; +} + +export type PromptSectionOverrides = Record; + +export type PromptRuntime = + | "claude-code" + | "opencode" + | "copilot-cli" + | "pi" + | "codex" + | "gemini-cli"; + +interface PromptSectionConfig { + [key: string]: string | Partial> | undefined; + runtimes?: Partial>; +} + +export interface PromptConfig { + review?: PromptSectionConfig & { + approved?: string; + denied?: string; + }; + plan?: PromptSectionConfig & { + approved?: string; + approvedWithNotes?: string; + autoApproved?: string; + denied?: string; + }; + annotate?: PromptSectionConfig & { + fileFeedback?: string; + messageFeedback?: string; + approved?: string; + }; +} + +const PROMPT_SECTIONS = ["review", "plan", "annotate"] as const; + +export function mergePromptConfig( + current?: PromptConfig, + partial?: PromptConfig, +): PromptConfig | undefined { + if (!current && !partial) return undefined; + + const result: Record = { ...current, ...partial }; + + for (const section of PROMPT_SECTIONS) { + const cur = current?.[section]; + const par = partial?.[section]; + if (cur || par) { + result[section] = { + ...cur, + ...par, + runtimes: (cur?.runtimes || par?.runtimes) + ? { ...cur?.runtimes, ...par?.runtimes } + : undefined, + }; + } + } + + return result as PromptConfig; +} + +export interface PlannotatorConfig { + displayName?: string; + diffOptions?: DiffOptions; + prompts?: PromptConfig; + conventionalComments?: boolean; + /** null = explicitly cleared (use defaults), undefined = not set */ + conventionalLabels?: CCLabelConfig[] | null; + /** + * Enable `gh attestation verify` during CLI installation/upgrade. + * Read by scripts/install.sh|ps1|cmd on every run (not by any runtime code). + * When true, the installer runs build-provenance verification after the + * SHA256 checksum check; requires `gh` CLI installed and authenticated + * (`gh auth login`). OS-level opt-in only — no UI surface. Default: false. + */ + verifyAttestation?: boolean; + /** + * Enable Jina Reader for URL-to-markdown conversion during annotation. + * When true (default), `plannotator annotate ` routes through + * r.jina.ai for better JS-rendered page support and reader-mode extraction. + * Set to false to always use plain fetch + Turndown. + */ + jina?: boolean; +} + +const CONFIG_DIR = join(homedir(), ".plannotator"); +const CONFIG_PATH = join(CONFIG_DIR, "config.json"); + +/** + * Load config from ~/.plannotator/config.json. + * Returns {} on missing file or malformed JSON. + */ +export function loadConfig(): PlannotatorConfig { + try { + if (!existsSync(CONFIG_PATH)) return {}; + const raw = readFileSync(CONFIG_PATH, "utf-8"); + const parsed = JSON.parse(raw); + return typeof parsed === "object" && parsed !== null ? parsed : {}; + } catch (e) { + process.stderr.write(`[plannotator] Warning: failed to read config.json: ${e}\n`); + return {}; + } +} + +/** + * Save config by merging partial values into the existing file. + * Creates ~/.plannotator/ directory if needed. + */ +export function saveConfig(partial: Partial): void { + try { + const current = loadConfig(); + const mergedDiffOptions = (current.diffOptions || partial.diffOptions) + ? { ...current.diffOptions, ...partial.diffOptions } + : undefined; + const mergedPrompts = mergePromptConfig(current.prompts, partial.prompts); + const merged = { + ...current, + ...partial, + diffOptions: mergedDiffOptions, + prompts: mergedPrompts, + }; + mkdirSync(CONFIG_DIR, { recursive: true }); + writeFileSync(CONFIG_PATH, JSON.stringify(merged, null, 2) + "\n", "utf-8"); + } catch (e) { + process.stderr.write(`[plannotator] Warning: failed to write config.json: ${e}\n`); + } +} + +/** + * Detect the git user name from `git config user.name`. + * Returns null if git is unavailable, not in a repo, or user.name is not set. + */ +export function detectGitUser(): string | null { + try { + const name = execSync("git config user.name", { encoding: "utf-8", timeout: 3000 }).trim(); + return name || null; + } catch { + return null; + } +} + +/** + * Build the serverConfig payload for API responses. + * Reads config.json fresh each call so the response reflects the latest file on disk. + */ +export function getServerConfig(gitUser: string | null): { + displayName?: string; + diffOptions?: DiffOptions; + gitUser?: string; + conventionalComments?: boolean; + conventionalLabels?: CCLabelConfig[] | null; +} { + const cfg = loadConfig(); + return { + displayName: cfg.displayName, + diffOptions: cfg.diffOptions, + gitUser: gitUser ?? undefined, + ...(cfg.conventionalComments !== undefined && { conventionalComments: cfg.conventionalComments }), + ...(cfg.conventionalLabels !== undefined && { conventionalLabels: cfg.conventionalLabels }), + }; +} + +/** + * Read the user's preferred default diff type from config, falling back to 'unstaged'. + */ +export function resolveDefaultDiffType(cfg?: PlannotatorConfig): DefaultDiffType { + const v = cfg?.diffOptions?.defaultDiffType as string | undefined; + if (v === 'branch') return 'merge-base'; + return v === 'uncommitted' || v === 'unstaged' || v === 'staged' || v === 'merge-base' || v === 'all' ? v : 'unstaged'; +} + +/** + * Resolve whether to use Jina Reader for URL annotation. + * + * Priority (highest wins): + * --no-jina CLI flag → PLANNOTATOR_JINA env var → config.jina → default true + */ +export function resolveUseJina(cliNoJina: boolean, config: PlannotatorConfig): boolean { + // CLI flag has highest priority + if (cliNoJina) return false; + + // Environment variable + const envVal = process.env.PLANNOTATOR_JINA; + if (envVal !== undefined) { + return envVal === "1" || envVal.toLowerCase() === "true"; + } + + // Config file + if (config.jina !== undefined) return config.jina; + + // Default: enabled + return true; +} diff --git a/extensions/plannotator/generated/draft.ts b/extensions/plannotator/generated/draft.ts new file mode 100644 index 0000000..e5db9db --- /dev/null +++ b/extensions/plannotator/generated/draft.ts @@ -0,0 +1,65 @@ +// @generated — DO NOT EDIT. Source: packages/shared/draft.ts +/** + * Draft Storage + * + * Persists annotation drafts to ~/.plannotator/drafts/ so they survive + * server crashes. Each draft is keyed by a content hash of the plan/diff + * it was created against. + * + * Runtime-agnostic: uses only node:fs, node:path, node:os, node:crypto. + */ + +import { homedir } from "os"; +import { join } from "path"; +import { mkdirSync, writeFileSync, readFileSync, unlinkSync, existsSync } from "fs"; +import { createHash } from "crypto"; + +/** + * Get the drafts directory, creating it if needed. + */ +export function getDraftDir(): string { + const dir = join(homedir(), ".plannotator", "drafts"); + mkdirSync(dir, { recursive: true }); + return dir; +} + +/** + * Generate a stable key from content using truncated SHA-256. + * Same content always produces the same key across server restarts. + */ +export function contentHash(content: string): string { + return createHash("sha256").update(content).digest("hex").slice(0, 16); +} + +/** + * Save a draft to disk. + */ +export function saveDraft(key: string, data: object): void { + const dir = getDraftDir(); + writeFileSync(join(dir, `${key}.json`), JSON.stringify(data), "utf-8"); +} + +/** + * Load a draft from disk. Returns null if not found. + */ +export function loadDraft(key: string): object | null { + const filePath = join(getDraftDir(), `${key}.json`); + try { + if (!existsSync(filePath)) return null; + return JSON.parse(readFileSync(filePath, "utf-8")); + } catch { + return null; + } +} + +/** + * Delete a draft from disk. No-op if not found. + */ +export function deleteDraft(key: string): void { + const filePath = join(getDraftDir(), `${key}.json`); + try { + if (existsSync(filePath)) unlinkSync(filePath); + } catch { + // Ignore delete failures + } +} diff --git a/extensions/plannotator/generated/external-annotation.ts b/extensions/plannotator/generated/external-annotation.ts new file mode 100644 index 0000000..e7df613 --- /dev/null +++ b/extensions/plannotator/generated/external-annotation.ts @@ -0,0 +1,398 @@ +// @generated — DO NOT EDIT. Source: packages/shared/external-annotation.ts +/** + * External Annotations — shared types, store logic, and SSE helpers. + * + * Runtime-agnostic: no node:fs, no node:http, no Bun APIs. + * Both the Bun server handler and Pi server handler import this module + * and wrap it with their respective HTTP transport layers. + * + * The store is generic — plan servers store Annotation objects, + * review servers store CodeAnnotation objects. The mode-specific + * input transformers handle validation and field assignment. + */ + +// --------------------------------------------------------------------------- +// Types +// --------------------------------------------------------------------------- + +/** Constraint for any annotation type the store can hold. */ +export type StorableAnnotation = { id: string; source?: string }; + +export type ExternalAnnotationEvent = + | { type: "snapshot"; annotations: T[] } + | { type: "add"; annotations: T[] } + | { type: "remove"; ids: string[] } + | { type: "clear"; source?: string } + | { type: "update"; id: string; annotation: T }; + +// --------------------------------------------------------------------------- +// SSE helpers +// --------------------------------------------------------------------------- + +/** Heartbeat comment to keep SSE connections alive (sent every 30s). */ +export const HEARTBEAT_COMMENT = ":\n\n"; + +/** Interval in ms between heartbeat comments. */ +export const HEARTBEAT_INTERVAL_MS = 30_000; + +/** Encode an event as an SSE `data:` line. */ +export function serializeSSEEvent(event: ExternalAnnotationEvent): string { + return `data: ${JSON.stringify(event)}\n\n`; +} + +// --------------------------------------------------------------------------- +// Input validation — shared helpers +// --------------------------------------------------------------------------- + +export interface ParseError { + error: string; +} + +/** + * Unwrap a POST body into an array of raw input objects. + * + * Accepts either: + * - A single annotation object: `{ source: "...", ... }` + * - A batch wrapper: `{ annotations: [{ source: "...", ... }, ...] }` + */ +function unwrapBody(body: unknown): Record[] | ParseError { + if (!body || typeof body !== "object") { + return { error: "Request body must be a JSON object" }; + } + + const obj = body as Record; + + // Batch format: { annotations: [...] } + if (Array.isArray(obj.annotations)) { + if (obj.annotations.length === 0) { + return { error: "annotations array must not be empty" }; + } + const items: Record[] = []; + for (let i = 0; i < obj.annotations.length; i++) { + const item = obj.annotations[i]; + if (!item || typeof item !== "object") { + return { error: `annotations[${i}] must be an object` }; + } + items.push(item as Record); + } + return items; + } + + // Single format: { source: "...", ... } + if (typeof obj.source === "string") { + return [obj as Record]; + } + + return { error: 'Missing required "source" field or "annotations" array' }; +} + +function requireString(obj: Record, field: string, index: number): string | ParseError { + const val = obj[field]; + if (typeof val !== "string" || val.length === 0) { + return { error: `annotations[${index}] missing required "${field}" field` }; + } + return val; +} + +// --------------------------------------------------------------------------- +// Plan mode transformer — produces Annotation objects +// --------------------------------------------------------------------------- + +/** The Annotation type shape for plan mode (mirrors packages/ui/types.ts). */ +interface PlanAnnotation { + id: string; + blockId: string; + startOffset: number; + endOffset: number; + type: string; // AnnotationType value + text?: string; + originalText: string; + createdA: number; + author?: string; + source?: string; +} + +const VALID_PLAN_TYPES = ["DELETION", "COMMENT", "GLOBAL_COMMENT"]; + +export function transformPlanInput( + body: unknown, +): { annotations: PlanAnnotation[] } | ParseError { + const items = unwrapBody(body); + if ("error" in items) return items; + + const annotations: PlanAnnotation[] = []; + for (let i = 0; i < items.length; i++) { + const obj = items[i]; + + const source = requireString(obj, "source", i); + if (typeof source !== "string") return source; + + // Must have text content + if (typeof obj.text !== "string" || obj.text.length === 0) { + return { error: `annotations[${i}] missing required "text" field` }; + } + + // Validate type if provided, default to GLOBAL_COMMENT + const type = typeof obj.type === "string" ? obj.type : "GLOBAL_COMMENT"; + if (!VALID_PLAN_TYPES.includes(type)) { + return { + error: `annotations[${i}] invalid type "${type}". Must be one of: ${VALID_PLAN_TYPES.join(", ")}`, + }; + } + + // DELETION requires originalText (the text to remove) + if (type === "DELETION" && (typeof obj.originalText !== "string" || obj.originalText.length === 0)) { + return { error: `annotations[${i}] DELETION type requires non-empty "originalText" field` }; + } + + // COMMENT requires originalText so the renderer can pin it to a phrase. + // External agents that want sidebar-only feedback should use GLOBAL_COMMENT + // instead — without a phrase to anchor to, a COMMENT renders as an empty + // quote bubble in the sidebar and exports as `Feedback on: ""`. + if (type === "COMMENT" && (typeof obj.originalText !== "string" || obj.originalText.length === 0)) { + return { + error: `annotations[${i}] COMMENT requires non-empty "originalText" field. Use GLOBAL_COMMENT for sidebar-only feedback.`, + }; + } + + annotations.push({ + id: crypto.randomUUID(), + blockId: "external", + startOffset: 0, + endOffset: 0, + type, + text: String(obj.text), + originalText: typeof obj.originalText === "string" ? obj.originalText : "", + createdA: Date.now(), + author: typeof obj.author === "string" ? obj.author : undefined, + source, + }); + } + + return { annotations }; +} + +// --------------------------------------------------------------------------- +// Review mode transformer — produces CodeAnnotation objects +// --------------------------------------------------------------------------- + +/** The CodeAnnotation type shape for review mode (mirrors packages/ui/types.ts). */ +interface ReviewAnnotation { + id: string; + type: string; // CodeAnnotationType value + scope?: string; + filePath: string; + lineStart: number; + lineEnd: number; + side: string; + text?: string; + suggestedCode?: string; + originalCode?: string; + createdAt: number; + author?: string; + source?: string; + // Agent review metadata (optional — only set by Claude review findings) + severity?: string; // "important" | "nit" | "pre_existing" + reasoning?: string; // Validation chain explaining how the issue was confirmed +} + +const VALID_REVIEW_TYPES = ["comment", "suggestion", "concern"]; +const VALID_SIDES = ["old", "new"]; +const VALID_SCOPES = ["line", "file"]; + +export function transformReviewInput( + body: unknown, +): { annotations: ReviewAnnotation[] } | ParseError { + const items = unwrapBody(body); + if ("error" in items) return items; + + const annotations: ReviewAnnotation[] = []; + for (let i = 0; i < items.length; i++) { + const obj = items[i]; + + const source = requireString(obj, "source", i); + if (typeof source !== "string") return source; + + const filePath = requireString(obj, "filePath", i); + if (typeof filePath !== "string") return filePath; + + if (typeof obj.lineStart !== "number") { + return { error: `annotations[${i}] missing required "lineStart" field` }; + } + if (typeof obj.lineEnd !== "number") { + return { error: `annotations[${i}] missing required "lineEnd" field` }; + } + + // side: optional, defaults to "new" + const side = typeof obj.side === "string" ? obj.side : "new"; + if (!VALID_SIDES.includes(side)) { + return { + error: `annotations[${i}] invalid side "${side}". Must be one of: ${VALID_SIDES.join(", ")}`, + }; + } + + // type: optional, defaults to "comment" + const type = typeof obj.type === "string" ? obj.type : "comment"; + if (!VALID_REVIEW_TYPES.includes(type)) { + return { + error: `annotations[${i}] invalid type "${type}". Must be one of: ${VALID_REVIEW_TYPES.join(", ")}`, + }; + } + + // scope: optional, defaults to "line" + const scope = typeof obj.scope === "string" ? obj.scope : "line"; + if (!VALID_SCOPES.includes(scope)) { + return { + error: `annotations[${i}] invalid scope "${scope}". Must be one of: ${VALID_SCOPES.join(", ")}`, + }; + } + + // Must have at least text or suggestedCode + if (typeof obj.text !== "string" && typeof obj.suggestedCode !== "string") { + return { + error: `annotations[${i}] must have at least one of: text, suggestedCode`, + }; + } + + annotations.push({ + id: crypto.randomUUID(), + type, + scope, + filePath, + lineStart: obj.lineStart, + lineEnd: obj.lineEnd, + side, + text: typeof obj.text === "string" ? obj.text : undefined, + suggestedCode: typeof obj.suggestedCode === "string" ? obj.suggestedCode : undefined, + originalCode: typeof obj.originalCode === "string" ? obj.originalCode : undefined, + createdAt: Date.now(), + author: typeof obj.author === "string" ? obj.author : undefined, + source, + // Agent review metadata (optional — only set by Claude review findings) + ...(typeof obj.severity === "string" && { severity: obj.severity }), + ...(typeof obj.reasoning === "string" && { reasoning: obj.reasoning }), + }); + } + + return { annotations }; +} + +// --------------------------------------------------------------------------- +// Annotation Store (generic) +// --------------------------------------------------------------------------- + +type MutationListener = (event: ExternalAnnotationEvent) => void; + +export interface AnnotationStore { + /** Add fully-formed annotations. Returns the added annotations. */ + add(items: T[]): T[]; + /** Remove an annotation by ID. Returns true if found. */ + remove(id: string): boolean; + /** Remove all annotations from a specific source. Returns count removed. */ + clearBySource(source: string): number; + /** Update an annotation by ID. Returns the updated annotation, or null if not found. */ + update(id: string, fields: Partial): T | null; + /** Remove all annotations. Returns count removed. */ + clearAll(): number; + /** Get all annotations (snapshot). */ + getAll(): T[]; + /** Monotonic version counter — incremented on every mutation. */ + readonly version: number; + /** Register a listener for mutation events. Returns unsubscribe function. */ + onMutation(listener: MutationListener): () => void; +} + +/** + * Create an in-memory annotation store. + * + * The store is runtime-agnostic — it holds data and emits events. + * HTTP transport (SSE broadcasting, request parsing) is handled by + * the server-specific adapter (Bun or Pi). + */ +export function createAnnotationStore(): AnnotationStore { + const annotations: T[] = []; + const listeners = new Set>(); + let version = 0; + + function emit(event: ExternalAnnotationEvent): void { + for (const listener of listeners) { + try { + listener(event); + } catch { + // Don't let a failing listener break the store + } + } + } + + return { + add(items) { + if (items.length > 0) { + for (const item of items) { + annotations.push(item); + } + version++; + emit({ type: "add", annotations: items }); + } + return items; + }, + + remove(id) { + const idx = annotations.findIndex((a) => a.id === id); + if (idx === -1) return false; + annotations.splice(idx, 1); + version++; + emit({ type: "remove", ids: [id] }); + return true; + }, + + update(id, fields) { + const idx = annotations.findIndex((a) => a.id === id); + if (idx === -1) return null; + const merged = { ...annotations[idx], ...fields, id } as T; + annotations[idx] = merged; + version++; + emit({ type: "update", id, annotation: merged }); + return merged; + }, + + clearBySource(source) { + const before = annotations.length; + for (let i = annotations.length - 1; i >= 0; i--) { + if (annotations[i].source === source) { + annotations.splice(i, 1); + } + } + const removed = before - annotations.length; + if (removed > 0) { + version++; + emit({ type: "clear", source }); + } + return removed; + }, + + clearAll() { + const count = annotations.length; + if (count > 0) { + annotations.length = 0; + version++; + emit({ type: "clear" }); + } + return count; + }, + + getAll() { + return [...annotations]; + }, + + get version() { + return version; + }, + + onMutation(listener) { + listeners.add(listener); + return () => { + listeners.delete(listener); + }; + }, + }; +} diff --git a/extensions/plannotator/generated/favicon.ts b/extensions/plannotator/generated/favicon.ts new file mode 100644 index 0000000..37a9d8d --- /dev/null +++ b/extensions/plannotator/generated/favicon.ts @@ -0,0 +1,6 @@ +// @generated — DO NOT EDIT. Source: packages/shared/favicon.ts +export const FAVICON_SVG = ` + + + P +`; diff --git a/extensions/plannotator/generated/feedback-templates.ts b/extensions/plannotator/generated/feedback-templates.ts new file mode 100644 index 0000000..dea2c43 --- /dev/null +++ b/extensions/plannotator/generated/feedback-templates.ts @@ -0,0 +1,30 @@ +// @generated — DO NOT EDIT. Source: packages/shared/feedback-templates.ts +/** + * Shared feedback templates for all agent integrations. + * + * The plan deny template was tuned in #224 / commit 3dca977 to use strong + * directive framing — Claude was ignoring softer phrasing. + * + * IMPORTANT: This module is imported by packages/ui/utils/parser.ts which is + * bundled into the browser SPA. It must NOT import from ./prompts or ./config + * (which depend on node:fs, node:os, node:child_process). Keep it self-contained. + * + * Server-side call sites use getPlanDeniedPrompt() from ./prompts directly. + * This module is only kept for the browser's wrapFeedbackForAgent clipboard feature. + */ + +export interface PlanDenyFeedbackOptions { + planFilePath?: string; +} + +export const planDenyFeedback = ( + feedback: string, + toolName: string = "ExitPlanMode", + options?: PlanDenyFeedbackOptions, +): string => { + const planFileRule = options?.planFilePath + ? `- Your plan is saved at: ${options.planFilePath}\n You can edit this file to make targeted changes, then pass its path to ${toolName}.\n` + : ""; + + return `YOUR PLAN WAS NOT APPROVED.\n\nYou MUST revise the plan to address ALL of the feedback below before calling ${toolName} again.\n\nRules:\n${planFileRule}- Do not resubmit the same plan unchanged.\n- Do NOT change the plan title (first # heading) unless the user explicitly asks you to.\n\n${feedback || "Plan changes requested"}`; +}; diff --git a/extensions/plannotator/generated/html-to-markdown.ts b/extensions/plannotator/generated/html-to-markdown.ts new file mode 100644 index 0000000..927ba49 --- /dev/null +++ b/extensions/plannotator/generated/html-to-markdown.ts @@ -0,0 +1,33 @@ +// @generated — DO NOT EDIT. 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The user will see them immediately — inline highlights on the plan and entries in a sidebar — and can accept, edit, or delete them. + +This is one-way submission. Any tool can post: linters, agents, scripts. The user does not see who you are unless you tell them via \`text\` or \`author\`. + +## Base URL +${t} + +All endpoints below are relative to that base. No authentication. + +## Workflow +1. Read the plan so you know what to comment on. +2. POST your annotations (single or batch). +3. Optionally clean up your previous annotations before reposting on a re-run. + +There is no "send" or "done" step — each POST is live the moment it lands. + +## Reading the plan + +\`\`\`sh +curl -s ${t}/api/plan | jq -r .plan +\`\`\` + +**Line numbers do not apply and cannot be referenced.** The renderer pins your comments to the plan by matching the \`originalText\` field as a verbatim substring of the rendered text. Quote the exact phrase, never say "line 12." + +## Two kinds of comment + +You have exactly two shapes to choose from: + +- **Inline comment** — pinned to a specific phrase in the plan. The matched phrase gets a yellow highlight in the rendered plan and the comment appears in the sidebar. Use this for feedback about a particular sentence, step, or block. +- **Global comment** — not tied to any phrase. Sidebar entry only. Use this for high-level feedback like "this plan is missing a rollback section" or "the ordering of steps 3 and 4 should be swapped." + +## Posting an inline comment + +\`\`\`sh +curl -s ${t}/api/external-annotations \\ + -H 'Content-Type: application/json' \\ + -d '{ + "source": "claude-code", + "type": "COMMENT", + "text": "This step needs error handling.", + "originalText": "open the file and parse it" + }' +\`\`\` + +\`originalText\` must be a verbatim substring of the plan body. Pick something unique enough that it appears once — longer is safer than shorter. 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Add a rollback section."} + ] + }' +\`\`\` + +Batches are atomic: if any item fails validation, the whole batch is rejected with an error like \`annotations[2] missing required "text" field\`. + +## Listing and deleting + +\`\`\`sh +# List everything (yours and others') +curl -s ${t}/api/external-annotations | jq + +# Delete one annotation by id — works on any source, including the user's +curl -s -X DELETE "${t}/api/external-annotations?id=" + +# Delete all annotations from one source — the standard cleanup before reposting +curl -s -X DELETE "${t}/api/external-annotations?source=claude-code" + +# Delete everything in the session +curl -s -X DELETE ${t}/api/external-annotations +\`\`\` + +You have full delete authority. Use it responsibly. + +## Cleaning up on a re-run + +If you re-run on the same session, your previous annotations are still there. POSTing again will create duplicates. 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nw(r,this.id),this.beginCaptures=i,this.whileCaptures=o,this._while=new nw(A,wQe),this.whileHasBackReferences=this._while.hasBackReferences,this.patterns=s.patterns,this.hasMissingPatterns=s.hasMissingPatterns,this._cachedCompiledPatterns=null,this._cachedCompiledWhilePatterns=null}dispose(){this._cachedCompiledPatterns&&(this._cachedCompiledPatterns.dispose(),this._cachedCompiledPatterns=null),this._cachedCompiledWhilePatterns&&(this._cachedCompiledWhilePatterns.dispose(),this._cachedCompiledWhilePatterns=null)}get debugBeginRegExp(){return`${this._begin.source}`}get debugWhileRegExp(){return`${this._while.source}`}getWhileWithResolvedBackReferences(t,e){return this._while.resolveBackReferences(t,e)}collectPatterns(t,e){e.push(this._begin)}compile(t,e){return this._getCachedCompiledPatterns(t).compile(t)}compileAG(t,e,n,a){return this._getCachedCompiledPatterns(t).compileAG(t,n,a)}_getCachedCompiledPatterns(t){if(!this._cachedCompiledPatterns){this._cachedCompiledPatterns=new aw;for(const e of this.patterns)t.getRule(e).collectPatterns(t,this._cachedCompiledPatterns)}return this._cachedCompiledPatterns}compileWhile(t,e){return this._getCachedCompiledWhilePatterns(t,e).compile(t)}compileWhileAG(t,e,n,a){return this._getCachedCompiledWhilePatterns(t,e).compileAG(t,n,a)}_getCachedCompiledWhilePatterns(t,e){return this._cachedCompiledWhilePatterns||(this._cachedCompiledWhilePatterns=new aw,this._cachedCompiledWhilePatterns.push(this._while.hasBackReferences?this._while.clone():this._while)),this._while.hasBackReferences&&this._cachedCompiledWhilePatterns.setSource(0,e||"￿"),this._cachedCompiledWhilePatterns}},kQe=class VA{static createCaptureRule(e,n,a,r,i){return e.registerRule(A=>new cot(n,A,a,r,i))}static getCompiledRuleId(e,n,a){return e.id||n.registerRule(r=>{if(e.id=r,e.match)return new lot(e.$vscodeTextmateLocation,e.id,e.name,e.match,VA._compileCaptures(e.captures,n,a));if(typeof e.begin>"u"){e.repository&&(a=mQe({},a,e.repository));let i=e.patterns;return typeof i>"u"&&e.include&&(i=[{include:e.include}]),new Rre(e.$vscodeTextmateLocation,e.id,e.name,e.contentName,VA._compilePatterns(i,n,a))}return e.while?new JS(e.$vscodeTextmateLocation,e.id,e.name,e.contentName,e.begin,VA._compileCaptures(e.beginCaptures||e.captures,n,a),e.while,VA._compileCaptures(e.whileCaptures||e.captures,n,a),VA._compilePatterns(e.patterns,n,a)):new gP(e.$vscodeTextmateLocation,e.id,e.name,e.contentName,e.begin,VA._compileCaptures(e.beginCaptures||e.captures,n,a),e.end,VA._compileCaptures(e.endCaptures||e.captures,n,a),e.applyEndPatternLast,VA._compilePatterns(e.patterns,n,a))}),e.id}static _compileCaptures(e,n,a){let r=[];if(e){let i=0;for(const A in e){if(A==="$vscodeTextmateLocation")continue;const o=parseInt(A,10);o>i&&(i=o)}for(let A=0;A<=i;A++)r[A]=null;for(const A in e){if(A==="$vscodeTextmateLocation")continue;const o=parseInt(A,10);let s=0;e[A].patterns&&(s=VA.getCompiledRuleId(e[A],n,a)),r[o]=VA.createCaptureRule(n,e[A].$vscodeTextmateLocation,e[A].name,e[A].contentName,s)}}return r}static _compilePatterns(e,n,a){let r=[];if(e)for(let i=0,A=e.length;ie.substring(r.start,r.end));return _re.lastIndex=0,this.source.replace(_re,(r,i)=>CQe(a[parseInt(i,10)]||""))}_buildAnchorCache(){if(typeof this.source!="string")throw new Error("This method should only be called if the source is a string");let e=[],n=[],a=[],r=[],i,A,o,s;for(i=0,A=this.source.length;in.source);this._cached=new Nre(t,e,this._items.map(n=>n.ruleId))}return this._cached}compileAG(t,e,n){return this._hasAnchors?e?n?(this._anchorCache.A1_G1||(this._anchorCache.A1_G1=this._resolveAnchors(t,e,n)),this._anchorCache.A1_G1):(this._anchorCache.A1_G0||(this._anchorCache.A1_G0=this._resolveAnchors(t,e,n)),this._anchorCache.A1_G0):n?(this._anchorCache.A0_G1||(this._anchorCache.A0_G1=this._resolveAnchors(t,e,n)),this._anchorCache.A0_G1):(this._anchorCache.A0_G0||(this._anchorCache.A0_G0=this._resolveAnchors(t,e,n)),this._anchorCache.A0_G0):this.compile(t)}_resolveAnchors(t,e,n){let a=this._items.map(r=>r.resolveAnchors(e,n));return new Nre(t,a,this._items.map(r=>r.ruleId))}},Nre=class{constructor(t,e,n){this.regExps=e,this.rules=n,this.scanner=t.createOnigScanner(e)}scanner;dispose(){typeof this.scanner.dispose=="function"&&this.scanner.dispose()}toString(){const t=[];for(let e=0,n=this.rules.length;e{const n=this._scopeToLanguage(e),a=this._toStandardTokenType(e);return new c8(n,a)});_scopeToLanguage(e){return this._embeddedLanguagesMatcher.match(e)||0}_toStandardTokenType(e){const n=e.match(pP.STANDARD_TOKEN_TYPE_REGEXP);if(!n)return 8;switch(n[1]){case"comment":return 1;case"string":return 2;case"regex":return 3;case"meta.embedded":return 0}throw new Error("Unexpected match for standard token type!")}static STANDARD_TOKEN_TYPE_REGEXP=/\b(comment|string|regex|meta\.embedded)\b/},uot=class{values;scopesRegExp;constructor(t){if(t.length===0)this.values=null,this.scopesRegExp=null;else{this.values=new Map(t);const e=t.map(([n,a])=>CQe(n));e.sort(),e.reverse(),this.scopesRegExp=new RegExp(`^((${e.join(")|(")}))($|\\.)`,"")}}match(t){if(!this.scopesRegExp)return;const e=t.match(this.scopesRegExp);if(e)return this.values.get(e[1])}},Mre=class{constructor(t,e){this.stack=t,this.stoppedEarly=e}};function DQe(t,e,n,a,r,i,A,o){const s=e.content.length;let l=!1,d=-1;if(A){const p=got(t,e,n,a,r,i);r=p.stack,a=p.linePos,n=p.isFirstLine,d=p.anchorPosition}const u=Date.now();for(;!l;){if(o!==0&&Date.now()-u>o)return new Mre(r,!0);g()}return new Mre(r,!1);function g(){const p=pot(t,e,n,a,r,d);if(!p){i.produce(r,s),l=!0;return}const m=p.captureIndices,f=p.matchedRuleId,b=m&&m.length>0?m[0].end>a:!1;if(f===sot){const C=r.getRule(t);i.produce(r,m[0].start),r=r.withContentNameScopesList(r.nameScopesList),ly(t,e,n,r,i,C.endCaptures,m),i.produce(r,m[0].end);const I=r;if(r=r.parent,d=I.getAnchorPos(),!b&&I.getEnterPos()===a){r=I,i.produce(r,s),l=!0;return}}else{const C=t.getRule(f);i.produce(r,m[0].start);const I=r,B=C.getName(e.content,m),w=r.contentNameScopesList.pushAttributed(B,t);if(r=r.push(f,a,d,m[0].end===s,null,w,w),C instanceof gP){const k=C;ly(t,e,n,r,i,k.beginCaptures,m),i.produce(r,m[0].end),d=m[0].end;const _=k.getContentName(e.content,m),D=w.pushAttributed(_,t);if(r=r.withContentNameScopesList(D),k.endHasBackReferences&&(r=r.withEndRule(k.getEndWithResolvedBackReferences(e.content,m))),!b&&I.hasSameRuleAs(r)){r=r.pop(),i.produce(r,s),l=!0;return}}else if(C instanceof JS){const k=C;ly(t,e,n,r,i,k.beginCaptures,m),i.produce(r,m[0].end),d=m[0].end;const _=k.getContentName(e.content,m),D=w.pushAttributed(_,t);if(r=r.withContentNameScopesList(D),k.whileHasBackReferences&&(r=r.withEndRule(k.getWhileWithResolvedBackReferences(e.content,m))),!b&&I.hasSameRuleAs(r)){r=r.pop(),i.produce(r,s),l=!0;return}}else if(ly(t,e,n,r,i,C.captures,m),i.produce(r,m[0].end),r=r.pop(),!b){r=r.safePop(),i.produce(r,s),l=!0;return}}m[0].end>a&&(a=m[0].end,n=!1)}}function got(t,e,n,a,r,i){let A=r.beginRuleCapturedEOL?0:-1;const o=[];for(let s=r;s;s=s.pop()){const l=s.getRule(t);l instanceof JS&&o.push({rule:l,stack:s})}for(let s=o.pop();s;s=o.pop()){const{ruleScanner:l,findOptions:d}=fot(s.rule,t,s.stack.endRule,n,a===A),u=l.findNextMatchSync(e,a,d);if(u){if(u.ruleId!==wQe){r=s.stack.pop();break}u.captureIndices&&u.captureIndices.length&&(i.produce(s.stack,u.captureIndices[0].start),ly(t,e,n,s.stack,i,s.rule.whileCaptures,u.captureIndices),i.produce(s.stack,u.captureIndices[0].end),A=u.captureIndices[0].end,u.captureIndices[0].end>a&&(a=u.captureIndices[0].end,n=!1))}else{r=s.stack.pop();break}}return{stack:r,linePos:a,anchorPosition:A,isFirstLine:n}}function pot(t,e,n,a,r,i){const A=mot(t,e,n,a,r,i),o=t.getInjections();if(o.length===0)return A;const s=hot(o,t,e,n,a,r,i);if(!s)return A;if(!A)return s;const l=A.captureIndices[0].start,d=s.captureIndices[0].start;return d=o)&&(o=B,s=I.captureIndices,l=I.ruleId,d=m.priority,o===r))break}return s?{priorityMatch:d===-1,captureIndices:s,matchedRuleId:l}:null}function xQe(t,e,n,a,r){return{ruleScanner:t.compileAG(e,n,a,r),findOptions:0}}function fot(t,e,n,a,r){return{ruleScanner:t.compileWhileAG(e,n,a,r),findOptions:0}}function ly(t,e,n,a,r,i,A){if(i.length===0)return;const o=e.content,s=Math.min(i.length,A.length),l=[],d=A[0].end;for(let u=0;ud)break;for(;l.length>0&&l[l.length-1].endPos<=p.start;)r.produceFromScopes(l[l.length-1].scopes,l[l.length-1].endPos),l.pop();if(l.length>0?r.produceFromScopes(l[l.length-1].scopes,p.start):r.produce(a,p.start),g.retokenizeCapturedWithRuleId){const f=g.getName(o,A),b=a.contentNameScopesList.pushAttributed(f,t),C=g.getContentName(o,A),I=b.pushAttributed(C,t),B=a.push(g.retokenizeCapturedWithRuleId,p.start,-1,!1,null,b,I),w=t.createOnigString(o.substring(0,p.end));DQe(t,w,n&&p.start===0,p.start,B,r,!1,0),yQe(w);continue}const m=g.getName(o,A);if(m!==null){const b=(l.length>0?l[l.length-1].scopes:a.contentNameScopesList).pushAttributed(m,t);l.push(new bot(b,p.end))}}for(;l.length>0;)r.produceFromScopes(l[l.length-1].scopes,l[l.length-1].endPos),l.pop()}var bot=class{scopes;endPos;constructor(t,e){this.scopes=t,this.endPos=e}};function Cot(t,e,n,a,r,i,A,o){return new Iot(t,e,n,a,r,i,A,o)}function Fre(t,e,n,a,r){const i=jS(e,WS),A=kQe.getCompiledRuleId(n,a,r.repository);for(const o of i)t.push({debugSelector:e,matcher:o.matcher,ruleId:A,grammar:r,priority:o.priority})}function WS(t,e){if(e.length{for(let r=n;rn&&t.substr(0,n)===e&&t[n]==="."}var Iot=class{constructor(e,n,a,r,i,A,o,s){if(this._rootScopeName=e,this.balancedBracketSelectors=A,this._onigLib=s,this._basicScopeAttributesProvider=new dot(a,r),this._rootId=-1,this._lastRuleId=0,this._ruleId2desc=[null],this._includedGrammars={},this._grammarRepository=o,this._grammar=Lre(n,null),this._injections=null,this._tokenTypeMatchers=[],i)for(const l of Object.keys(i)){const d=jS(l,WS);for(const u of d)this._tokenTypeMatchers.push({matcher:u.matcher,type:i[l]})}}_rootId;_lastRuleId;_ruleId2desc;_includedGrammars;_grammarRepository;_grammar;_injections;_basicScopeAttributesProvider;_tokenTypeMatchers;get themeProvider(){return this._grammarRepository}dispose(){for(const e of this._ruleId2desc)e&&e.dispose()}createOnigScanner(e){return this._onigLib.createOnigScanner(e)}createOnigString(e){return this._onigLib.createOnigString(e)}getMetadataForScope(e){return this._basicScopeAttributesProvider.getBasicScopeAttributes(e)}_collectInjections(){const e={lookup:i=>i===this._rootScopeName?this._grammar:this.getExternalGrammar(i),injections:i=>this._grammarRepository.injections(i)},n=[],a=this._rootScopeName,r=e.lookup(a);if(r){const i=r.injections;if(i)for(let o in i)Fre(n,o,i[o],this,r);const A=this._grammarRepository.injections(a);A&&A.forEach(o=>{const s=this.getExternalGrammar(o);if(s){const l=s.injectionSelector;l&&Fre(n,l,s,this,s)}})}return n.sort((i,A)=>i.priority-A.priority),n}getInjections(){return this._injections===null&&(this._injections=this._collectInjections()),this._injections}registerRule(e){const n=++this._lastRuleId,a=e(n);return this._ruleId2desc[n]=a,a}getRule(e){return this._ruleId2desc[e]}getExternalGrammar(e,n){if(this._includedGrammars[e])return this._includedGrammars[e];if(this._grammarRepository){const a=this._grammarRepository.lookup(e);if(a)return this._includedGrammars[e]=Lre(a,n&&n.$base),this._includedGrammars[e]}}tokenizeLine(e,n,a=0){const r=this._tokenize(e,n,!1,a);return{tokens:r.lineTokens.getResult(r.ruleStack,r.lineLength),ruleStack:r.ruleStack,stoppedEarly:r.stoppedEarly}}tokenizeLine2(e,n,a=0){const r=this._tokenize(e,n,!0,a);return{tokens:r.lineTokens.getBinaryResult(r.ruleStack,r.lineLength),ruleStack:r.ruleStack,stoppedEarly:r.stoppedEarly}}_tokenize(e,n,a,r){this._rootId===-1&&(this._rootId=kQe.getCompiledRuleId(this._grammar.repository.$self,this,this._grammar.repository),this.getInjections());let i;if(!n||n===mP.NULL){i=!0;const d=this._basicScopeAttributesProvider.getDefaultAttributes(),u=this.themeProvider.getDefaults(),g=uE.set(0,d.languageId,d.tokenType,null,u.fontStyle,u.foregroundId,u.backgroundId),p=this.getRule(this._rootId).getName(null,null);let m;p?m=uQ.createRootAndLookUpScopeName(p,g,this):m=uQ.createRoot("unknown",g),n=new mP(null,this._rootId,-1,-1,!1,null,m,m)}else i=!1,n.reset();e=e+` +`;const A=this.createOnigString(e),o=A.content.length,s=new yot(a,e,this._tokenTypeMatchers,this.balancedBracketSelectors),l=DQe(this,A,i,0,n,s,!0,r);return yQe(A),{lineLength:o,lineTokens:s,ruleStack:l.stack,stoppedEarly:l.stoppedEarly}}};function Lre(t,e){return t=UAt(t),t.repository=t.repository||{},t.repository.$self={$vscodeTextmateLocation:t.$vscodeTextmateLocation,patterns:t.patterns,name:t.scopeName},t.repository.$base=e||t.repository.$self,t}var uQ=class $l{constructor(e,n,a){this.parent=e,this.scopePath=n,this.tokenAttributes=a}static fromExtension(e,n){let a=e,r=e?.scopePath??null;for(const i of n)r=s8.push(r,i.scopeNames),a=new $l(a,r,i.encodedTokenAttributes);return a}static createRoot(e,n){return new $l(null,new s8(null,e),n)}static createRootAndLookUpScopeName(e,n,a){const r=a.getMetadataForScope(e),i=new s8(null,e),A=a.themeProvider.themeMatch(i),o=$l.mergeAttributes(n,r,A);return new $l(null,i,o)}get scopeName(){return this.scopePath.scopeName}toString(){return this.getScopeNames().join(" ")}equals(e){return $l.equals(this,e)}static equals(e,n){do{if(e===n||!e&&!n)return!0;if(!e||!n||e.scopeName!==n.scopeName||e.tokenAttributes!==n.tokenAttributes)return!1;e=e.parent,n=n.parent}while(!0)}static mergeAttributes(e,n,a){let r=-1,i=0,A=0;return a!==null&&(r=a.fontStyle,i=a.foregroundId,A=a.backgroundId),uE.set(e,n.languageId,n.tokenType,null,r,i,A)}pushAttributed(e,n){if(e===null)return this;if(e.indexOf(" ")===-1)return $l._pushAttributed(this,e,n);const a=e.split(/ /g);let r=this;for(const i of a)r=$l._pushAttributed(r,i,n);return r}static _pushAttributed(e,n,a){const r=a.getMetadataForScope(n),i=e.scopePath.push(n),A=a.themeProvider.themeMatch(i),o=$l.mergeAttributes(e.tokenAttributes,r,A);return new $l(e,i,o)}getScopeNames(){return this.scopePath.getSegments()}getExtensionIfDefined(e){const n=[];let a=this;for(;a&&a!==e;)n.push({encodedTokenAttributes:a.tokenAttributes,scopeNames:a.scopePath.getExtensionIfDefined(a.parent?.scopePath??null)}),a=a.parent;return a===e?n.reverse():void 0}},mP=class rh{constructor(e,n,a,r,i,A,o,s){this.parent=e,this.ruleId=n,this.beginRuleCapturedEOL=i,this.endRule=A,this.nameScopesList=o,this.contentNameScopesList=s,this.depth=this.parent?this.parent.depth+1:1,this._enterPos=a,this._anchorPos=r}_stackElementBrand=void 0;static NULL=new rh(null,0,0,0,!1,null,null,null);_enterPos;_anchorPos;depth;equals(e){return e===null?!1:rh._equals(this,e)}static _equals(e,n){return e===n?!0:this._structuralEquals(e,n)?uQ.equals(e.contentNameScopesList,n.contentNameScopesList):!1}static _structuralEquals(e,n){do{if(e===n||!e&&!n)return!0;if(!e||!n||e.depth!==n.depth||e.ruleId!==n.ruleId||e.endRule!==n.endRule)return!1;e=e.parent,n=n.parent}while(!0)}clone(){return this}static _reset(e){for(;e;)e._enterPos=-1,e._anchorPos=-1,e=e.parent}reset(){rh._reset(this)}pop(){return this.parent}safePop(){return this.parent?this.parent:this}push(e,n,a,r,i,A,o){return new rh(this,e,n,a,r,i,A,o)}getEnterPos(){return this._enterPos}getAnchorPos(){return this._anchorPos}getRule(e){return e.getRule(this.ruleId)}toString(){const e=[];return this._writeString(e,0),"["+e.join(",")+"]"}_writeString(e,n){return this.parent&&(n=this.parent._writeString(e,n)),e[n++]=`(${this.ruleId}, ${this.nameScopesList?.toString()}, ${this.contentNameScopesList?.toString()})`,n}withContentNameScopesList(e){return this.contentNameScopesList===e?this:this.parent.push(this.ruleId,this._enterPos,this._anchorPos,this.beginRuleCapturedEOL,this.endRule,this.nameScopesList,e)}withEndRule(e){return this.endRule===e?this:new rh(this.parent,this.ruleId,this._enterPos,this._anchorPos,this.beginRuleCapturedEOL,e,this.nameScopesList,this.contentNameScopesList)}hasSameRuleAs(e){let 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Set([t]);for(;e[t];){if(t=e[t],n.has(t))throw new cC(`Circular alias \`${Array.from(n).join(" -> ")} -> ${t}\``);n.add(t)}}return t}class Bct extends wot{constructor(e,n,a,r={}){super(e),this._resolver=e,this._themes=n,this._langs=a,this._alias=r,this._themes.map(i=>this.loadTheme(i)),this.loadLanguages(this._langs)}_resolvedThemes=new Map;_resolvedGrammars=new Map;_langMap=new Map;_langGraph=new Map;_textmateThemeCache=new WeakMap;_loadedThemesCache=null;_loadedLanguagesCache=null;getTheme(e){return typeof e=="string"?this._resolvedThemes.get(e):this.loadTheme(e)}loadTheme(e){const n=QR(e);return n.name&&(this._resolvedThemes.set(n.name,n),this._loadedThemesCache=null),n}getLoadedThemes(){return this._loadedThemesCache||(this._loadedThemesCache=[...this._resolvedThemes.keys()]),this._loadedThemesCache}setTheme(e){let n=this._textmateThemeCache.get(e);n||(n=qS.createFromRawTheme(e),this._textmateThemeCache.set(e,n)),this._syncRegistry.setTheme(n)}getGrammar(e){return e=XQe(e,this._alias),this._resolvedGrammars.get(e)}loadLanguage(e){if(this.getGrammar(e.name))return;const n=new Set([...this._langMap.values()].filter(i=>i.embeddedLangsLazy?.includes(e.name)));this._resolver.addLanguage(e);const a={balancedBracketSelectors:e.balancedBracketSelectors||["*"],unbalancedBracketSelectors:e.unbalancedBracketSelectors||[]};this._syncRegistry._rawGrammars.set(e.scopeName,e);const r=this.loadGrammarWithConfiguration(e.scopeName,1,a);if(r.name=e.name,this._resolvedGrammars.set(e.name,r),e.aliases&&e.aliases.forEach(i=>{this._alias[i]=e.name}),this._loadedLanguagesCache=null,n.size)for(const i of n)this._resolvedGrammars.delete(i.name),this._loadedLanguagesCache=null,this._syncRegistry?._injectionGrammars?.delete(i.scopeName),this._syncRegistry?._grammars?.delete(i.scopeName),this.loadLanguage(this._langMap.get(i.name))}dispose(){super.dispose(),this._resolvedThemes.clear(),this._resolvedGrammars.clear(),this._langMap.clear(),this._langGraph.clear(),this._loadedThemesCache=null}loadLanguages(e){for(const r of e)this.resolveEmbeddedLanguages(r);const n=Array.from(this._langGraph.entries()),a=n.filter(([r,i])=>!i);if(a.length){const r=n.filter(([i,A])=>A?(A.embeddedLanguages||A.embeddedLangs)?.some(s=>a.map(([l])=>l).includes(s)):!1).filter(i=>!a.includes(i));throw new cC(`Missing languages ${a.map(([i])=>`\`${i}\``).join(", ")}, required by ${r.map(([i])=>`\`${i}\``).join(", ")}`)}for(const[r,i]of n)this._resolver.addLanguage(i);for(const[r,i]of n)this.loadLanguage(i)}getLoadedLanguages(){return this._loadedLanguagesCache||(this._loadedLanguagesCache=[...new Set([...this._resolvedGrammars.keys(),...Object.keys(this._alias)])]),this._loadedLanguagesCache}resolveEmbeddedLanguages(e){this._langMap.set(e.name,e),this._langGraph.set(e.name,e);const n=e.embeddedLanguages??e.embeddedLangs;if(n)for(const a of n)this._langGraph.set(a,this._langMap.get(a))}}class yct{_langs=new Map;_scopeToLang=new Map;_injections=new Map;_onigLib;constructor(e,n){this._onigLib={createOnigScanner:a=>e.createScanner(a),createOnigString:a=>e.createString(a)},n.forEach(a=>this.addLanguage(a))}get onigLib(){return this._onigLib}getLangRegistration(e){return this._langs.get(e)}loadGrammar(e){return this._scopeToLang.get(e)}addLanguage(e){this._langs.set(e.name,e),e.aliases&&e.aliases.forEach(n=>{this._langs.set(n,e)}),this._scopeToLang.set(e.scopeName,e),e.injectTo&&e.injectTo.forEach(n=>{this._injections.get(n)||this._injections.set(n,[]),this._injections.get(n).push(e.scopeName)})}getInjections(e){const n=e.split(".");let a=[];for(let r=1;r<=n.length;r++){const i=n.slice(0,r).join(".");a=[...a,...this._injections.get(i)||[]]}return a}}let TB=0;function Qct(t){TB+=1,t.warnings!==!1&&TB>=10&&TB%10===0&&console.warn(`[Shiki] ${TB} instances have been created. Shiki is supposed to be used as a singleton, consider refactoring your code to cache your highlighter instance; Or call \`highlighter.dispose()\` to release unused instances.`);let e=!1;if(!t.engine)throw new cC("`engine` option is required for synchronous mode");const n=(t.langs||[]).flat(1),a=(t.themes||[]).flat(1).map(QR),r=new yct(t.engine,n),i=new Bct(r,a,n,t.langAlias);let A;function o(B){return XQe(B,t.langAlias)}function s(B){C();const w=i.getGrammar(typeof B=="string"?B:B.name);if(!w)throw new cC(`Language \`${B}\` not found, you may need to load it first`);return w}function l(B){if(B==="none")return{bg:"",fg:"",name:"none",settings:[],type:"dark"};C();const w=i.getTheme(B);if(!w)throw new cC(`Theme \`${B}\` not found, you may need to load it first`);return w}function d(B){C();const w=l(B);A!==B&&(i.setTheme(w),A=B);const k=i.getColorMap();return{theme:w,colorMap:k}}function u(){return C(),i.getLoadedThemes()}function g(){return C(),i.getLoadedLanguages()}function p(...B){C(),i.loadLanguages(B.flat(1))}async function m(...B){return p(await ZQe(B))}function f(...B){C();for(const w of B.flat(1))i.loadTheme(w)}async function b(...B){return C(),f(await VQe(B))}function C(){if(e)throw new cC("Shiki instance has been disposed")}function I(){e||(e=!0,i.dispose(),TB-=1)}return{setTheme:d,getTheme:l,getLanguage:s,getLoadedThemes:u,getLoadedLanguages:g,resolveLangAlias:o,loadLanguage:m,loadLanguageSync:p,loadTheme:b,loadThemeSync:f,dispose:I,[Symbol.dispose]:I}}async function wct(t){t.engine||Ict("`engine` option is required. Use `createOnigurumaEngine` or `createJavaScriptRegexEngine` to create an engine.");const[e,n,a]=await Promise.all([VQe(t.themes||[]),ZQe(t.langs||[]),t.engine]);return Qct({...t,themes:e,langs:n,engine:a})}async function kct(t){const e=await wct(t);return{getLastGrammarState:(...n)=>oct(e,...n),codeToTokensBase:(n,a)=>nY(e,n,a),codeToTokensWithThemes:(n,a)=>WQe(e,n,a),codeToTokens:(n,a)=>$S(e,n,a),codeToHast:(n,a)=>e_(e,n,a),codeToHtml:(n,a)=>Cct(e,n,a),getBundledLanguages:()=>({}),getBundledThemes:()=>({}),...e,getInternalContext:()=>e}}function vct(t){const e=t.langs,n=t.themes,a=t.engine;async function r(i){function A(u){if(typeof u=="string"){if(u=i.langAlias?.[u]||u,YQe(u))return[];const g=e[u];if(!g)throw new Hi(`Language \`${u}\` is not included in this bundle. You may want to load it from external source.`);return g}return u}function o(u){if(qQe(u))return"none";if(typeof u=="string"){const g=n[u];if(!g)throw new Hi(`Theme \`${u}\` is not included in this bundle. You may want to load it from external source.`);return g}return u}const s=(i.themes??[]).map(u=>o(u)),l=(i.langs??[]).map(u=>A(u)),d=await kct({engine:i.engine??a(),...i,themes:s,langs:l});return{...d,loadLanguage(...u){return d.loadLanguage(...u.map(A))},loadTheme(...u){return d.loadTheme(...u.map(o))},getBundledLanguages(){return e},getBundledThemes(){return n}}}return r}const $Qe=[{id:"abap",name:"ABAP",import:(()=>Fe(()=>Promise.resolve().then(()=>t6t),void 0,import.meta.url))},{id:"actionscript-3",name:"ActionScript",import:(()=>Fe(()=>Promise.resolve().then(()=>r6t),void 0,import.meta.url))},{id:"ada",name:"Ada",import:(()=>Fe(()=>Promise.resolve().then(()=>o6t),void 0,import.meta.url))},{id:"angular-html",name:"Angular HTML",import:(()=>Fe(()=>Promise.resolve().then(()=>C6t),void 0,import.meta.url))},{id:"angular-ts",name:"Angular TypeScript",import:(()=>Fe(()=>Promise.resolve().then(()=>D6t),void 0,import.meta.url))},{id:"apache",name:"Apache 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0,import.meta.url))},{id:"ballerina",name:"Ballerina",import:(()=>Fe(()=>Promise.resolve().then(()=>hKt),void 0,import.meta.url))},{id:"bat",name:"Batch File",aliases:["batch"],import:(()=>Fe(()=>Promise.resolve().then(()=>CKt),void 0,import.meta.url))},{id:"beancount",name:"Beancount",import:(()=>Fe(()=>Promise.resolve().then(()=>BKt),void 0,import.meta.url))},{id:"berry",name:"Berry",aliases:["be"],import:(()=>Fe(()=>Promise.resolve().then(()=>wKt),void 0,import.meta.url))},{id:"bibtex",name:"BibTeX",import:(()=>Fe(()=>Promise.resolve().then(()=>DKt),void 0,import.meta.url))},{id:"bicep",name:"Bicep",import:(()=>Fe(()=>Promise.resolve().then(()=>_Kt),void 0,import.meta.url))},{id:"blade",name:"Blade",import:(()=>Fe(()=>Promise.resolve().then(()=>GKt),void 0,import.meta.url))},{id:"bsl",name:"1C (Enterprise)",aliases:["1c"],import:(()=>Fe(()=>Promise.resolve().then(()=>HKt),void 0,import.meta.url))},{id:"c",name:"C",import:(()=>Fe(()=>Promise.resolve().then(()=>qKt),void 0,import.meta.url))},{id:"c3",name:"C3",import:(()=>Fe(()=>Promise.resolve().then(()=>JKt),void 0,import.meta.url))},{id:"cadence",name:"Cadence",aliases:["cdc"],import:(()=>Fe(()=>Promise.resolve().then(()=>VKt),void 0,import.meta.url))},{id:"cairo",name:"Cairo",import:(()=>Fe(()=>Promise.resolve().then(()=>n7t),void 0,import.meta.url))},{id:"clarity",name:"Clarity",import:(()=>Fe(()=>Promise.resolve().then(()=>i7t),void 0,import.meta.url))},{id:"clojure",name:"Clojure",aliases:["clj"],import:(()=>Fe(()=>Promise.resolve().then(()=>s7t),void 0,import.meta.url))},{id:"cmake",name:"CMake",import:(()=>Fe(()=>Promise.resolve().then(()=>l7t),void 0,import.meta.url))},{id:"cobol",name:"COBOL",import:(()=>Fe(()=>Promise.resolve().then(()=>g7t),void 0,import.meta.url))},{id:"codeowners",name:"CODEOWNERS",import:(()=>Fe(()=>Promise.resolve().then(()=>h7t),void 0,import.meta.url))},{id:"codeql",name:"CodeQL",aliases:["ql"],import:(()=>Fe(()=>Promise.resolve().then(()=>C7t),void 0,import.meta.url))},{id:"coffee",name:"CoffeeScript",aliases:["coffeescript"],import:(()=>Fe(()=>Promise.resolve().then(()=>B7t),void 0,import.meta.url))},{id:"common-lisp",name:"Common Lisp",aliases:["lisp"],import:(()=>Fe(()=>Promise.resolve().then(()=>w7t),void 0,import.meta.url))},{id:"coq",name:"Coq",import:(()=>Fe(()=>Promise.resolve().then(()=>D7t),void 0,import.meta.url))},{id:"cpp",name:"C++",aliases:["c++"],import:(()=>Fe(()=>Promise.resolve().then(()=>L7t),void 0,import.meta.url))},{id:"crystal",name:"Crystal",import:(()=>Fe(()=>Promise.resolve().then(()=>P7t),void 0,import.meta.url))},{id:"csharp",name:"C#",aliases:["c#","cs"],import:(()=>Fe(()=>Promise.resolve().then(()=>H7t),void 0,import.meta.url))},{id:"css",name:"CSS",import:(()=>Fe(()=>Promise.resolve().then(()=>d6t),void 0,import.meta.url))},{id:"csv",name:"CSV",import:(()=>Fe(()=>Promise.resolve().then(()=>q7t),void 0,import.meta.url))},{id:"cue",name:"CUE",import:(()=>Fe(()=>Promise.resolve().then(()=>J7t),void 0,import.meta.url))},{id:"cypher",name:"Cypher",aliases:["cql"],import:(()=>Fe(()=>Promise.resolve().then(()=>V7t),void 0,import.meta.url))},{id:"d",name:"D",import:(()=>Fe(()=>Promise.resolve().then(()=>eHt),void 0,import.meta.url))},{id:"dart",name:"Dart",import:(()=>Fe(()=>Promise.resolve().then(()=>aHt),void 0,import.meta.url))},{id:"dax",name:"DAX",import:(()=>Fe(()=>Promise.resolve().then(()=>AHt),void 0,import.meta.url))},{id:"desktop",name:"Desktop",import:(()=>Fe(()=>Promise.resolve().then(()=>cHt),void 0,import.meta.url))},{id:"diff",name:"Diff",import:(()=>Fe(()=>Promise.resolve().then(()=>dHt),void 0,import.meta.url))},{id:"docker",name:"Dockerfile",aliases:["dockerfile"],import:(()=>Fe(()=>Promise.resolve().then(()=>pHt),void 0,import.meta.url))},{id:"dotenv",name:"dotEnv",import:(()=>Fe(()=>Promise.resolve().then(()=>fHt),void 0,import.meta.url))},{id:"dream-maker",name:"Dream Maker",import:(()=>Fe(()=>Promise.resolve().then(()=>EHt),void 0,import.meta.url))},{id:"edge",name:"Edge",import:(()=>Fe(()=>Promise.resolve().then(()=>yHt),void 0,import.meta.url))},{id:"elixir",name:"Elixir",import:(()=>Fe(()=>Promise.resolve().then(()=>kHt),void 0,import.meta.url))},{id:"elm",name:"Elm",import:(()=>Fe(()=>Promise.resolve().then(()=>xHt),void 0,import.meta.url))},{id:"emacs-lisp",name:"Emacs Lisp",aliases:["elisp"],import:(()=>Fe(()=>Promise.resolve().then(()=>RHt),void 0,import.meta.url))},{id:"erb",name:"ERB",import:(()=>Fe(()=>Promise.resolve().then(()=>zHt),void 0,import.meta.url))},{id:"erlang",name:"Erlang",aliases:["erl"],import:(()=>Fe(()=>Promise.resolve().then(()=>XHt),void 0,import.meta.url))},{id:"fennel",name:"Fennel",import:(()=>Fe(()=>Promise.resolve().then(()=>tYt),void 0,import.meta.url))},{id:"fish",name:"Fish",import:(()=>Fe(()=>Promise.resolve().then(()=>rYt),void 0,import.meta.url))},{id:"fluent",name:"Fluent",aliases:["ftl"],import:(()=>Fe(()=>Promise.resolve().then(()=>oYt),void 0,import.meta.url))},{id:"fortran-fixed-form",name:"Fortran (Fixed Form)",aliases:["f","for","f77"],import:(()=>Fe(()=>Promise.resolve().then(()=>uYt),void 0,import.meta.url))},{id:"fortran-free-form",name:"Fortran (Free Form)",aliases:["f90","f95","f03","f08","f18"],import:(()=>Fe(()=>Promise.resolve().then(()=>cYt),void 0,import.meta.url))},{id:"fsharp",name:"F#",aliases:["f#","fs"],import:(()=>Fe(()=>Promise.resolve().then(()=>mYt),void 0,import.meta.url))},{id:"gdresource",name:"GDResource",import:(()=>Fe(()=>Promise.resolve().then(()=>BYt),void 0,import.meta.url))},{id:"gdscript",name:"GDScript",import:(()=>Fe(()=>Promise.resolve().then(()=>CYt),void 0,import.meta.url))},{id:"gdshader",name:"GDShader",import:(()=>Fe(()=>Promise.resolve().then(()=>fYt),void 0,import.meta.url))},{id:"genie",name:"Genie",import:(()=>Fe(()=>Promise.resolve().then(()=>wYt),void 0,import.meta.url))},{id:"gherkin",name:"Gherkin",import:(()=>Fe(()=>Promise.resolve().then(()=>DYt),void 0,import.meta.url))},{id:"git-commit",name:"Git Commit Message",import:(()=>Fe(()=>Promise.resolve().then(()=>_Yt),void 0,import.meta.url))},{id:"git-rebase",name:"Git Rebase Message",import:(()=>Fe(()=>Promise.resolve().then(()=>MYt),void 0,import.meta.url))},{id:"gleam",name:"Gleam",import:(()=>Fe(()=>Promise.resolve().then(()=>TYt),void 0,import.meta.url))},{id:"glimmer-js",name:"Glimmer JS",aliases:["gjs"],import:(()=>Fe(()=>Promise.resolve().then(()=>UYt),void 0,import.meta.url))},{id:"glimmer-ts",name:"Glimmer TS",aliases:["gts"],import:(()=>Fe(()=>Promise.resolve().then(()=>HYt),void 0,import.meta.url))},{id:"glsl",name:"GLSL",import:(()=>Fe(()=>Promise.resolve().then(()=>R7t),void 0,import.meta.url))},{id:"gn",name:"GN",import:(()=>Fe(()=>Promise.resolve().then(()=>jYt),void 0,import.meta.url))},{id:"gnuplot",name:"Gnuplot",import:(()=>Fe(()=>Promise.resolve().then(()=>WYt),void 0,import.meta.url))},{id:"go",name:"Go",import:(()=>Fe(()=>Promise.resolve().then(()=>VYt),void 0,import.meta.url))},{id:"graphql",name:"GraphQL",aliases:["gql"],import:(()=>Fe(()=>Promise.resolve().then(()=>GHt),void 0,import.meta.url))},{id:"groovy",name:"Groovy",import:(()=>Fe(()=>Promise.resolve().then(()=>eqt),void 0,import.meta.url))},{id:"hack",name:"Hack",import:(()=>Fe(()=>Promise.resolve().then(()=>aqt),void 0,import.meta.url))},{id:"haml",name:"Ruby Haml",import:(()=>Fe(()=>Promise.resolve().then(()=>MHt),void 0,import.meta.url))},{id:"handlebars",name:"Handlebars",aliases:["hbs"],import:(()=>Fe(()=>Promise.resolve().then(()=>Aqt),void 0,import.meta.url))},{id:"haskell",name:"Haskell",aliases:["hs"],import:(()=>Fe(()=>Promise.resolve().then(()=>cqt),void 0,import.meta.url))},{id:"haxe",name:"Haxe",import:(()=>Fe(()=>Promise.resolve().then(()=>dqt),void 0,import.meta.url))},{id:"hcl",name:"HashiCorp HCL",import:(()=>Fe(()=>Promise.resolve().then(()=>pqt),void 0,import.meta.url))},{id:"hjson",name:"Hjson",import:(()=>Fe(()=>Promise.resolve().then(()=>fqt),void 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0,import.meta.url))},{id:"java",name:"Java",import:(()=>Fe(()=>Promise.resolve().then(()=>L6t),void 0,import.meta.url))},{id:"javascript",name:"JavaScript",aliases:["js","cjs","mjs"],import:(()=>Fe(()=>Promise.resolve().then(()=>c6t),void 0,import.meta.url))},{id:"jinja",name:"Jinja",import:(()=>Fe(()=>Promise.resolve().then(()=>Kqt),void 0,import.meta.url))},{id:"jison",name:"Jison",import:(()=>Fe(()=>Promise.resolve().then(()=>qqt),void 0,import.meta.url))},{id:"json",name:"JSON",import:(()=>Fe(()=>Promise.resolve().then(()=>U6t),void 0,import.meta.url))},{id:"json5",name:"JSON5",import:(()=>Fe(()=>Promise.resolve().then(()=>Jqt),void 0,import.meta.url))},{id:"jsonc",name:"JSON with Comments",import:(()=>Fe(()=>Promise.resolve().then(()=>Vqt),void 0,import.meta.url))},{id:"jsonl",name:"JSON Lines",import:(()=>Fe(()=>Promise.resolve().then(()=>ejt),void 0,import.meta.url))},{id:"jsonnet",name:"Jsonnet",import:(()=>Fe(()=>Promise.resolve().then(()=>ajt),void 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Error("Subroutine uses a group number that's not defined");g&&(s[g-1].isSubroutined=!0)}else if(d.has(g)){if(d.get(g).length>1)throw new Error(EA`Subroutine uses a duplicate group name "\g<${g}>"`);d.get(g)[0].isSubroutined=!0}else throw new Error(EA`Subroutine uses a group name that's not defined "\g<${g}>"`);return A}function Elt({kind:t}){return yP(ZE({"^":"line_start",$:"line_end","\\A":"string_start","\\b":"word_boundary","\\B":"word_boundary","\\G":"search_start","\\y":"text_segment_boundary","\\Y":"text_segment_boundary","\\z":"string_end","\\Z":"string_end_newline"}[t],`Unexpected assertion kind "${t}"`),{negate:t===EA`\B`||t===EA`\Y`})}function Ilt({raw:t},e){const n=/^\\k[<']/.test(t),a=n?t.slice(3,-1):t.slice(1),r=(i,A=!1)=>{const o=e.capturingGroups.length;let s=!1;if(i>o)if(e.skipBackrefValidation)s=!0;else throw new Error(`Not enough capturing groups defined to the left "${t}"`);return e.hasNumberedRef=!0,QP(A?o+1-i:i,{orphan:s})};if(n){const i=/^(?-?)0*(?[1-9]\d*)$/.exec(a);if(i)return r(+i.groups.num,!!i.groups.sign);if(/[-+]/.test(a))throw new Error(`Invalid backref name "${t}"`);if(!e.namedGroupsByName.has(a))throw new Error(`Group name not defined to the left "${t}"`);return QP(a)}return r(+a)}function Blt(t,e,n){const{tokens:a,walk:r}=e,i=e.parent,A=i.body.at(-1),o=a[e.nextIndex];if(!n.isCheckingRangeEnd&&A&&A.type!=="CharacterClass"&&A.type!=="CharacterClassRange"&&o&&o.type!=="CharacterClassOpen"&&o.type!=="CharacterClassClose"&&o.type!=="CharacterClassIntersector"){const s=r(i,{...n,isCheckingRangeEnd:!0});if(A.type==="Character"&&s.type==="Character")return i.body.pop(),xlt(A,s);throw new Error("Invalid character class range")}return vR(WE("-"))}function ylt({negate:t},e,n){const{tokens:a,walk:r}=e,i=a[e.nextIndex],A=[Fx()];let o=rie(i);for(;o.type!=="CharacterClassClose";){if(o.type==="CharacterClassIntersector")A.push(Fx()),e.nextIndex++;else{const l=A.at(-1);l.body.push(r(l,n))}o=rie(a[e.nextIndex],i)}const s=Fx({negate:t});return A.length===1?s.body=A[0].body:(s.kind="intersection",s.body=A.map(l=>l.body.length===1?l.body[0]:l)),e.nextIndex++,s}function Qlt({kind:t,negate:e,value:n},a){const{normalizeUnknownPropertyNames:r,skipPropertyNameValidation:i,unicodePropertyMap:A}=a;if(t==="property"){const o=DR(n);if(iY.has(o)&&!A?.has(o))t="posix",n=o;else return Zb(n,{negate:e,normalizeUnknownPropertyNames:r,skipPropertyNameValidation:i,unicodePropertyMap:A})}return t==="posix"?Nlt(n,{negate:e}):wP(t,{negate:e})}function wlt(t,e,n){const{tokens:a,capturingGroups:r,namedGroupsByName:i,skipLookbehindValidation:A,walk:o}=e,s=Flt(t),l=s.type==="AbsenceFunction",d=aie(s),u=d&&s.negate;if(s.type==="CapturingGroup"&&(r.push(s),s.name&&Jct(i,s.name,[]).push(s)),l&&n.isInAbsenceFunction)throw new Error("Nested absence function not supported by Oniguruma");let g=iie(a[e.nextIndex]);for(;g.type!=="GroupClose";){if(g.type==="Alternator")s.body.push(zh()),e.nextIndex++;else{const p=s.body.at(-1),m=o(p,{...n,isInAbsenceFunction:n.isInAbsenceFunction||l,isInLookbehind:n.isInLookbehind||d,isInNegLookbehind:n.isInNegLookbehind||u});if(p.body.push(m),(d||n.isInLookbehind)&&!A){const f="Lookbehind includes a pattern not allowed by Oniguruma";if(u||n.isInNegLookbehind){if(nie(m)||m.type==="CapturingGroup")throw new Error(f)}else if(nie(m)||aie(m)&&m.negate)throw new Error(f)}}g=iie(a[e.nextIndex])}return e.nextIndex++,s}function klt({kind:t,min:e,max:n},a){const r=a.parent,i=r.body.at(-1);if(!i||!blt(i))throw new Error("Quantifier requires a repeatable token");const A=dwe(t,e,n,i);return r.body.pop(),A}function vlt({raw:t},e){const{capturingGroups:n,subroutines:a}=e;let r=t.slice(3,-1);const i=/^(?[-+]?)0*(?[1-9]\d*)$/.exec(r);if(i){const o=+i.groups.num,s=n.length;if(e.hasNumberedRef=!0,r={"":o,"+":s+o,"-":s+1-o}[i.groups.sign],r<1)throw new Error("Invalid subroutine number")}else r==="0"&&(r=0);const A=uwe(r);return a.push(A),A}function 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r=e.getTheme(t.dark);a+=`${ol("global")}dark:${r.fg};`,a+=`${ol("global")}dark-bg:${r.bg};`,a+=y8(r,"dark"),r=e.getTheme(t.light),a+=`${ol("global")}light:${r.fg};`,a+=`${ol("global")}light-bg:${r.bg};`,a+=y8(r,"light")}return a}function y8(t,e){e=e!=null?`${e}-`:"";let n="";const a=t.colors?.["gitDecoration.addedResourceForeground"]??t.colors?.["terminal.ansiGreen"];a!=null&&(n+=`${ol("global")}${e}addition-color:${a};`);const r=t.colors?.["gitDecoration.deletedResourceForeground"]??t.colors?.["terminal.ansiRed"];r!=null&&(n+=`${ol("global")}${e}deletion-color:${r};`);const i=t.colors?.["gitDecoration.modifiedResourceForeground"]??t.colors?.["terminal.ansiBlue"];return i!=null&&(n+=`${ol("global")}${e}modified-color:${i};`),n}function nut(t){let e=t.children[0];for(;e!=null;){if(e.type==="element"&&e.tagName==="code")return e.children;"children"in e?e=e.children[0]:e=null}throw console.error(t),new Error("getLineNodes: Unable to find children")}function SP(t){return t!==""?t.split(RAt):[]}const aut={forcePlainText:!1};function rut(t,e,{theme:n=Gu,tokenizeMaxLineLength:a,useTokenTransformer:r},{forcePlainText:i,startingLine:A,totalLines:o,lines:s}=aut){i?(A??=0,o??=1/0):(A=0,o=1/0);const l=A>0||o<1/0,{state:d,transformers:u}=$dt(r),g=i?"text":t.lang??pQ(t.name),p=typeof n=="string"?e.getTheme(n).type:void 0,m=tut({theme:n,highlighter:e});d.lineInfo=I=>({type:"context",lineIndex:I-1+A,lineNumber:I+A});const f=typeof n=="string"?{lang:g,theme:n,transformers:u,defaultColor:!1,cssVariablePrefix:ol("token"),tokenizeMaxLineLength:a}:{lang:g,themes:n,transformers:u,defaultColor:!1,cssVariablePrefix:ol("token"),tokenizeMaxLineLength:a},b=nut(e.codeToHast(l?iut(s??SP(t.contents),A,o):Ydt(t.contents),f)),C=l?new Array(A):b;return l&&C.push(...b),{code:C,themeStyles:m,baseThemeType:p}}function iut(t,e,n){let a="";return n_({lines:t,startingLine:e,totalLines:n,callback({content:r}){a+=r}}),a}function Aut(t,e){return t?.cacheKey===e?.cacheKey&&t?.contents===e?.contents&&t?.name===e?.name&&t?.lang===e?.lang}const out=J.createContext(void 0);function sut(t){const e=J.useRef(t);return J.useInsertionEffect(()=>void(e.current=t)),J.useCallback((...n)=>e.current(...n),[])}function cut(t,e){return t.lineNumber===e.lineNumber&&t.side===e.side}function Cie(t,e){return t?.start===e?.start&&t?.end===e?.end&&t?.side===e?.side&&t?.endSide===e?.endSide}function lut(){return xr({tagName:"button",properties:{"data-utility-button":"",type:"button"},children:[xP({name:"diffs-icon-plus",properties:{"data-icon":""}})]})}var dut=class{hoveredLine;hoveredToken;pre;gutterUtilityContainer;gutterUtilityButton;gutterUtilitySlot;interactiveLinesAttr=!1;interactiveLineNumbersAttr=!1;hasPointerListeners=!1;hasDocumentPointerListeners=!1;selectedRange=null;renderedSelectionRange;selectionAnchor;queuedSelectionRender;pointerSession={mode:"idle"};constructor(t,e){this.mode=t,this.options=e}setOptions(t){this.options=t}cleanUp(){this.pre?.removeEventListener("click",this.handlePointerClick),this.pre?.removeEventListener("pointerdown",this.handlePointerDown),this.pre?.removeEventListener("pointermove",this.handlePointerMove),this.pre?.removeEventListener("pointerleave",this.handlePointerLeave),this.pre?.removeAttribute("data-interactive-lines"),this.pre?.removeAttribute("data-interactive-line-numbers"),this.pre=void 0,this.gutterUtilityContainer?.remove(),this.gutterUtilityContainer=void 0,this.gutterUtilityButton=void 0,this.gutterUtilitySlot=void 0,this.clearHoveredLine(),this.clearHoveredToken(),this.detachDocumentPointerListeners(),this.clearPointerSession(),this.queuedSelectionRender!=null&&(cancelAnimationFrame(this.queuedSelectionRender),this.queuedSelectionRender=void 0),this.interactiveLinesAttr=!1,this.interactiveLineNumbersAttr=!1,this.hasPointerListeners=!1}setup(t){this.setSelectionDirty();const{usesCustomGutterUtility:e=!1,enableGutterUtility:n=!1}=this.options;this.pre!==t&&(this.cleanUp(),this.pre=t),n?this.ensureGutterUtilityNode(e):this.gutterUtilityContainer!=null&&(this.gutterUtilityContainer.remove(),this.gutterUtilityContainer=void 0,this.gutterUtilityButton=void 0,this.gutterUtilitySlot=void 0,this.pointerSession.mode==="gutterSelecting"&&(this.clearPointerSession(),this.detachDocumentPointerListeners())),this.syncPointerListeners(t),this.updateInteractiveLineAttributes(),this.renderSelection()}setSelectionDirty(){this.renderedSelectionRange=void 0}isSelectionDirty(){return this.renderedSelectionRange===null}setSelection(t){const e=!(t===this.selectedRange||Cie(t??void 0,this.selectedRange??void 0));!this.isSelectionDirty()&&!e||(this.selectedRange=t,this.renderSelection(),e&&this.notifySelectionCommitted())}getSelection(){return this.selectedRange}getHoveredLine=()=>{if(this.hoveredLine!=null){if(this.mode==="diff"&&this.hoveredLine.type==="diff-line")return{lineNumber:this.hoveredLine.lineNumber,side:this.hoveredLine.annotationSide};if(this.mode==="file"&&this.hoveredLine.type==="line")return{lineNumber:this.hoveredLine.lineNumber}}};handlePointerClick=t=>{const{onHunkExpand:e,onLineClick:n,onLineNumberClick:a,onTokenClick:r,onMergeConflictActionClick:i}=this.options;e==null&&n==null&&a==null&&i==null&&r==null||this.options.onGutterUtilityClick!=null&&Qie(t.composedPath())||(lu(this.options.__debugPointerEvents,"click","FileDiff.DEBUG.handlePointerClick:",t),this.handlePointerEvent({eventType:"click",event:t}))};handlePointerMove=t=>{const{lineHoverHighlight:e="disabled",onLineEnter:n,onLineLeave:a,onTokenEnter:r,onTokenLeave:i,enableGutterUtility:A=!1}=this.options;e==="disabled"&&!A&&n==null&&a==null&&r==null&&i==null||(lu(this.options.__debugPointerEvents,"move","FileDiff.DEBUG.handlePointerMove:",t),this.handlePointerEvent({eventType:"move",event:t}))};handlePointerLeave=t=>{const{__debugPointerEvents:e}=this.options;if(lu(e,"move","FileDiff.DEBUG.handlePointerLeave: no event"),this.hoveredLine==null&&this.hoveredToken==null){lu(e,"move","FileDiff.DEBUG.handlePointerLeave: returned early, no hovered line or token");return}this.gutterUtilityContainer?.remove(),this.hoveredToken!=null&&(this.options.onTokenLeave?.(this.hoveredToken,t),this.clearHoveredToken()),this.hoveredLine!=null&&(this.options.onLineLeave?.({...this.hoveredLine,event:t}),this.clearHoveredLine())};handlePointerEvent({eventType:t,event:e}){const{__debugPointerEvents:n}=this.options,a=e.composedPath();lu(n,t,"FileDiff.DEBUG.handlePointerEvent:",{eventType:t,composedPath:a});const r=this.resolvePointerTarget(a);lu(n,t,"FileDiff.DEBUG.handlePointerEvent: resolvePointerTarget result:",r);const{onLineClick:i,onLineNumberClick:A,onLineEnter:o,onLineLeave:s,onTokenClick:l,onTokenEnter:d,onTokenLeave:u,onHunkExpand:g,onMergeConflictActionClick:p}=this.options;switch(t){case"move":{const m=Q8(r)&&this.hoveredLine?.lineElement===r.lineElement;Tx(r)&&this.hoveredToken?.tokenElement===r.tokenElement||(this.hoveredToken!=null&&(u?.(this.hoveredToken,e),this.clearHoveredToken()),Tx(r)&&(this.setHoveredToken(this.toTokenEventBaseProps(r)),d?.(this.hoveredToken,e))),m||(this.hoveredLine!=null&&(this.gutterUtilityContainer?.remove(),s?.({...this.hoveredLine,event:e}),this.clearHoveredLine()),Q8(r)&&(this.setHoveredLine(this.toEventBaseProps(r)),this.gutterUtilityContainer!=null&&r.numberElement.appendChild(this.gutterUtilityContainer),o?.({...this.hoveredLine,event:e})));break}case"click":{if(r==null)break;if(put(r)&&p!=null){p(r);break}if(gut(r)&&g!=null){g(r.hunkIndex,r.all||e.shiftKey?"both":r.direction,r.all||e.shiftKey?Number.POSITIVE_INFINITY:void 0);break}if(!Q8(r))break;Tx(r)&&l!=null&&l(this.toTokenEventBaseProps(r),e);const m=this.toEventBaseProps(r);A!=null&&r.numberColumn?A({...m,event:e}):i?.({...m,event:e});break}}}syncPointerListeners(t){const{__debugPointerEvents:e,lineHoverHighlight:n="disabled",onLineClick:a,onLineNumberClick:r,onLineEnter:i,onLineLeave:A,onTokenClick:o,onTokenEnter:s,onTokenLeave:l,onHunkExpand:d,onMergeConflictActionClick:u,enableGutterUtility:g=!1,enableLineSelection:p=!1,onGutterUtilityClick:m}=this.options,f=m!=null,b=n!=="disabled"||a!=null||r!=null||i!=null||A!=null||o!=null||s!=null||l!=null||d!=null||u!=null||g||p||f;b&&!this.hasPointerListeners?(t.addEventListener("click",this.handlePointerClick),t.addEventListener("pointerdown",this.handlePointerDown),t.addEventListener("pointermove",this.handlePointerMove),t.addEventListener("pointerleave",this.handlePointerLeave),this.hasPointerListeners=!0,lu(e,"click","FileDiff.DEBUG.attachEventListeners: Attaching click events for:",(()=>{const B=[];return(e==="both"||e==="click")&&(a!=null&&B.push("onLineClick"),r!=null&&B.push("onLineNumberClick"),d!=null&&B.push("expandable hunk separators"),u!=null&&B.push("merge conflict actions")),B})()),lu(e,"move","FileDiff.DEBUG.attachEventListeners: Attaching pointer move event"),lu(e,"move","FileDiff.DEBUG.attachEventListeners: Attaching pointer leave event")):!b&&this.hasPointerListeners&&(t.removeEventListener("click",this.handlePointerClick),t.removeEventListener("pointerdown",this.handlePointerDown),t.removeEventListener("pointermove",this.handlePointerMove),t.removeEventListener("pointerleave",this.handlePointerLeave),this.hasPointerListeners=!1);const C=this.pointerSession.mode==="selecting"||this.pointerSession.mode==="pendingSingleLineUnselect",I=this.pointerSession.mode==="gutterSelecting";(!p&&C||!f&&I)&&(this.clearPointerSession(),this.detachDocumentPointerListeners(),this.selectionAnchor=void 0,this.clearPendingSingleLineState())}updateInteractiveLineAttributes(){if(this.pre==null)return;const{onLineClick:t,onLineNumberClick:e,enableLineSelection:n=!1}=this.options,a=t!=null,r=e!=null||n;a&&!this.interactiveLinesAttr?(this.pre.setAttribute("data-interactive-lines",""),this.interactiveLinesAttr=!0):!a&&this.interactiveLinesAttr&&(this.pre.removeAttribute("data-interactive-lines"),this.interactiveLinesAttr=!1),r&&!this.interactiveLineNumbersAttr?(this.pre.setAttribute("data-interactive-line-numbers",""),this.interactiveLineNumbersAttr=!0):!r&&this.interactiveLineNumbersAttr&&(this.pre.removeAttribute("data-interactive-line-numbers"),this.interactiveLineNumbersAttr=!1)}handlePointerDown=t=>{if(t.pointerType==="mouse"&&t.button!==0||this.pre==null||this.pointerSession.mode!=="idle")return;const e=t.composedPath();Qie(e)&&this.options.onGutterUtilityClick!=null?this.startGutterSelectionFromPointerDown(t,e):this.startLineSelectionFromPointerDown(t,e)};startLineSelectionFromPointerDown(t,e){const{enableLineSelection:n=!1}=this.options;if(!n)return;const a=this.getSelectionPointerInfo(e,!0);if(a==null)return;const{pre:r}=this;if(r==null)return;t.preventDefault();const{lineNumber:i,eventSide:A,lineIndex:o}=a;if(t.shiftKey&&this.selectedRange!=null){const s=this.getIndexesFromSelection(this.selectedRange,r.getAttribute("data-diff-type")==="split");if(s==null)return;const l=s.start<=s.end?o>=s.start:o<=s.end;this.selectionAnchor={lineNumber:l?this.selectedRange.start:this.selectedRange.end,side:l?this.selectedRange.side:this.selectedRange.endSide??this.selectedRange.side},this.updateSelection(i,A,!1),this.notifySelectionStart(this.selectedRange),this.pointerSession={mode:"selecting",pointerId:t.pointerId},this.attachDocumentPointerListeners();return}if(this.selectedRange?.start===i&&this.selectedRange?.end===i){const s={lineNumber:i,side:A};this.selectionAnchor=s,this.pointerSession={mode:"pendingSingleLineUnselect",pointerId:t.pointerId,anchor:s,pending:s},this.attachDocumentPointerListeners();return}this.selectedRange=null,this.selectionAnchor={lineNumber:i,side:A},this.updateSelection(i,A,!1),this.notifySelectionStart(this.selectedRange),this.pointerSession={mode:"selecting",pointerId:t.pointerId},this.attachDocumentPointerListeners()}startGutterSelectionFromPointerDown(t,e){const{enableLineSelection:n=!1,onGutterUtilityClick:a}=this.options;if(a==null)return;const r=this.getSelectionPointFromPath(e);r!=null&&(t.preventDefault(),t.stopPropagation(),this.pointerSession={mode:"gutterSelecting",pointerId:t.pointerId,anchor:r,current:r},n&&(this.selectionAnchor={lineNumber:r.lineNumber,side:r.side},this.updateSelection(r.lineNumber,r.side,!1),this.notifySelectionStart(this.selectedRange)),this.attachDocumentPointerListeners())}handleDocumentPointerMove=t=>{const{enableLineSelection:e=!1}=this.options;switch(this.pointerSession.mode){case"idle":return;case"gutterSelecting":{if(t.pointerId!==this.pointerSession.pointerId)return;const n=this.getSelectionPointFromPath(t.composedPath());if(n==null)return;this.pointerSession.current=n,e===!0&&this.updateSelection(n.lineNumber,n.side);return}case"selecting":{if(t.pointerId!==this.pointerSession.pointerId)return;const n=this.getSelectionPointerInfo(t.composedPath(),!1);if(n==null||this.selectionAnchor==null)return;this.updateSelection(n.lineNumber,n.eventSide);return}case"pendingSingleLineUnselect":{if(t.pointerId!==this.pointerSession.pointerId)return;const n=this.getSelectionPointerInfo(t.composedPath(),!1);if(n==null||this.selectionAnchor==null)return;const a={lineNumber:n.lineNumber,side:n.eventSide};if(cut(this.pointerSession.pending,a))return;this.updateSelection(n.lineNumber,n.eventSide,!1),this.notifySelectionStart(this.selectedRange),this.notifySelectionChangeDelta(),this.pointerSession={mode:"selecting",pointerId:t.pointerId};return}}};handleDocumentPointerUp=t=>{const{enableLineSelection:e=!1,onGutterUtilityClick:n}=this.options;switch(this.pointerSession.mode){case"idle":return;case"gutterSelecting":{if(t.pointerId!==this.pointerSession.pointerId)return;const a=this.getSelectionPointFromPath(t.composedPath());a!=null&&(this.pointerSession.current=a,e&&this.updateSelection(a.lineNumber,a.side)),n?.(this.buildSelectedLineRange(this.pointerSession.anchor,this.pointerSession.current)),this.selectionAnchor=void 0,e&&(this.notifySelectionEnd(this.selectedRange),this.notifySelectionCommitted()),this.clearPointerSession(),this.detachDocumentPointerListeners();return}case"pendingSingleLineUnselect":if(t.pointerId!==this.pointerSession.pointerId)return;this.updateSelection(null,void 0,!1),this.selectionAnchor=void 0,this.clearPendingSingleLineState(),this.detachDocumentPointerListeners(),this.notifySelectionEnd(this.selectedRange),this.notifySelectionCommitted();return;case"selecting":if(t.pointerId!==this.pointerSession.pointerId)return;this.selectionAnchor=void 0,this.detachDocumentPointerListeners(),this.clearPointerSession(),this.notifySelectionEnd(this.selectedRange),this.notifySelectionCommitted()}};handleDocumentPointerCancel=t=>{switch(this.pointerSession.mode){case"idle":return;case"gutterSelecting":case"selecting":case"pendingSingleLineUnselect":if("pointerId"in this.pointerSession&&t.pointerId!==this.pointerSession.pointerId)return;this.selectionAnchor=void 0,this.clearPendingSingleLineState(),this.clearPointerSession(),this.detachDocumentPointerListeners()}};clearHoveredLine(){this.hoveredLine!=null&&(this.hoveredLine.lineElement.removeAttribute("data-hovered"),this.hoveredLine.numberElement.removeAttribute("data-hovered"),this.hoveredLine=void 0)}setHoveredLine(t){const{lineHoverHighlight:e="disabled"}=this.options;this.hoveredLine!=null&&this.clearHoveredLine(),this.hoveredLine=t,e!=="disabled"&&((e==="both"||e==="line")&&this.hoveredLine.lineElement.setAttribute("data-hovered",""),(e==="both"||e==="number")&&this.hoveredLine.numberElement.setAttribute("data-hovered",""))}clearHoveredToken(){this.hoveredToken!=null&&(this.hoveredToken=void 0)}setHoveredToken(t){this.hoveredToken!=null&&this.clearHoveredToken(),this.hoveredToken=t}ensureGutterUtilityNode(t){if(this.gutterUtilityContainer==null&&(this.gutterUtilityContainer=document.createElement("div"),this.gutterUtilityContainer.setAttribute("data-gutter-utility-slot","")),t)this.gutterUtilityButton!=null&&(this.gutterUtilityButton.remove(),this.gutterUtilityButton=void 0),this.gutterUtilitySlot==null&&(this.gutterUtilitySlot=document.createElement("slot"),this.gutterUtilitySlot.name="gutter-utility-slot"),this.gutterUtilitySlot.parentNode!==this.gutterUtilityContainer&&this.gutterUtilityContainer.replaceChildren(this.gutterUtilitySlot);else{if(this.gutterUtilitySlot?.remove(),this.gutterUtilitySlot=void 0,this.gutterUtilityButton==null){const e=document.createElement("div");e.innerHTML=SC(lut());const n=e.firstElementChild;if(!(n instanceof HTMLButtonElement))throw new Error("InteractionManager.ensureGutterUtilityNode: Node element should be a button");n.remove(),this.gutterUtilityButton=n}this.gutterUtilityButton.parentNode!==this.gutterUtilityContainer&&this.gutterUtilityContainer.replaceChildren(this.gutterUtilityButton)}}attachDocumentPointerListeners(){this.hasDocumentPointerListeners||(document.addEventListener("pointermove",this.handleDocumentPointerMove),document.addEventListener("pointerup",this.handleDocumentPointerUp),document.addEventListener("pointercancel",this.handleDocumentPointerCancel),this.hasDocumentPointerListeners=!0)}detachDocumentPointerListeners(){this.hasDocumentPointerListeners&&(document.removeEventListener("pointermove",this.handleDocumentPointerMove),document.removeEventListener("pointerup",this.handleDocumentPointerUp),document.removeEventListener("pointercancel",this.handleDocumentPointerCancel),this.hasDocumentPointerListeners=!1)}clearPointerSession(){this.pointerSession={mode:"idle"}}clearPendingSingleLineState(){this.pointerSession.mode==="pendingSingleLineUnselect"&&(this.pointerSession={mode:"idle"})}getSelectionPointerInfo(t,e){const n=this.resolvePointerTarget(t);if(_P(n)&&!(e&&!n.numberColumn)&&n.splitLineIndex!=null)return{lineIndex:n.splitLineIndex,lineNumber:n.lineNumber,eventSide:this.mode==="diff"?n.side:void 0}}getSelectionPointFromPath(t){const e=this.resolvePointerTarget(t);if(_P(e))return{lineNumber:e.lineNumber,side:this.mode==="diff"?e.side:void 0}}getLineIndex(t,e){const{getLineIndex:n}=this.options;return n!=null?n(t,e):[t-1,t-1]}updateSelection(t,e,n=!0){const{selectedRange:a}=this;let r;if(t==null)r=null;else{const i=this.selectionAnchor?.side??e,A=this.selectionAnchor?.lineNumber??t;r=this.buildSelectionRange(A,t,i,e)}Cie(a??void 0,r??void 0)||(this.selectedRange=r,n&&this.notifySelectionChangeDelta(),this.queuedSelectionRender??=requestAnimationFrame(this.renderSelection))}getIndexesFromSelection(t,e){if(this.pre==null)return;const n=this.getLineIndex(t.start,t.side),a=this.getLineIndex(t.end,t.endSide??t.side);return n!=null&&a!=null?{start:e?n[1]:n[0],end:e?a[1]:a[0]}:void 0}renderSelection=()=>{if(this.queuedSelectionRender!=null&&(cancelAnimationFrame(this.queuedSelectionRender),this.queuedSelectionRender=void 0),this.pre==null||this.renderedSelectionRange===this.selectedRange)return;const t=this.pre.querySelectorAll("[data-selected-line]");for(const o of t)o.removeAttribute("data-selected-line");if(this.renderedSelectionRange=this.selectedRange,this.selectedRange==null)return;const{children:e}=this.pre;if(e.length===0)return;if(e.length>2)throw console.error(e),new Error("InteractionManager.renderSelection: Somehow there are more than 2 code elements...");const n=this.pre.getAttribute("data-diff-type")==="split",a=this.getIndexesFromSelection(this.selectedRange,n);if(a==null)throw console.error({rowRange:a,selectedRange:this.selectedRange}),new Error("InteractionManager.renderSelection: No valid rowRange");const r=a.start===a.end,i=Math.min(a.start,a.end),A=Math.max(a.start,a.end);for(const o of e){const[s,l]=o.children,d=l.children.length;if(d!==s.children.length)throw new Error("InteractionManager.renderSelection: gutter and content children dont match, something is wrong");for(let u=0;uA)break;if(m==null||mNumber.parseInt(a,10)).filter(a=>!Number.isNaN(a));if(e&&n.length===2)return n[1];if(!e)return n[0]}};function Eie({enableTokenInteractionsOnWhitespace:t,enableGutterUtility:e,enableHoverUtility:n,lineHoverHighlight:a,onGutterUtilityClick:r,onLineClick:i,onLineEnter:A,onLineLeave:o,onLineNumberClick:s,onTokenClick:l,onTokenEnter:d,onTokenLeave:u,renderGutterUtility:g,renderHoverUtility:p,__debugPointerEvents:m,enableLineSelection:f,onLineSelected:b,onLineSelectionStart:C,onLineSelectionChange:I,onLineSelectionEnd:B},w,k,_){return{enableTokenInteractionsOnWhitespace:t,enableGutterUtility:uut({enableGutterUtility:e,enableHoverUtility:n,renderGutterUtility:g,renderHoverUtility:p,onGutterUtilityClick:r}),usesCustomGutterUtility:g!=null||p!=null,lineHoverHighlight:a,onGutterUtilityClick:r,onHunkExpand:w,onMergeConflictActionClick:_,onLineClick:i,onLineEnter:A,onLineLeave:o,onLineNumberClick:s,onTokenClick:l,onTokenEnter:d,onTokenLeave:u,__debugPointerEvents:m,enableLineSelection:f,onLineSelected:b,onLineSelectionStart:C,onLineSelectionChange:I,onLineSelectionEnd:B,getLineIndex:k}}function uut({enableGutterUtility:t,enableHoverUtility:e,renderGutterUtility:n,renderHoverUtility:a,onGutterUtilityClick:r}){if(t!==void 0&&e!==void 0)throw new Error("Cannot use both 'enableGutterUtility' and deprecated 'enableHoverUtility'. Use only 'enableGutterUtility'.");if(n!=null&&a!=null)throw new Error("Cannot use both 'renderGutterUtility' and deprecated 'renderHoverUtility'. Use only 'renderGutterUtility'.");if(r!=null&&(n!=null||a!=null))throw new Error("Cannot use both 'onGutterUtilityClick' and render utility callbacks ('renderGutterUtility'/'renderHoverUtility'). Use only one gutter utility API.");return t??e??!1}function _P(t){return t!=null&&"kind"in t&&t.kind==="line"}function Tx(t){return t!=null&&"kind"in t&&t.kind==="token"}function Q8(t){return _P(t)||Tx(t)}function gut(t){return"type"in t&&t.type==="line-info"}function put(t){return"kind"in t&&t.kind==="merge-conflict-action"}function mut(t){return t==="current"||t==="incoming"||t==="both"}function Iie(t,e){const n=t?.querySelector(e);return n instanceof HTMLElement?n:void 0}function Bie(t,e){switch(t){case"change-deletion":return"deletions";case"change-addition":return"additions";default:return e.hasAttribute("data-deletions")?"deletions":"additions"}}function yie(t){const e=t.getAttribute("data-line-type");if(e!=null)switch(e){case"change-deletion":case"change-addition":case"context":case"context-expanded":return e;default:return}}function Qie(t){for(const e of t)if(e instanceof HTMLElement&&e.hasAttribute("data-utility-button"))return!0;return!1}function lu(t="none",e,...n){switch(t){case"none":return;case"both":break;case"click":if(e!=="click")return;break;case"move":if(e!=="move")return;break}console.log(...n)}var hut=class{observedNodes=new Map;queuedUpdates=new Map;cleanUp(){this.resizeObserver?.disconnect(),this.observedNodes.clear(),this.queuedUpdates.clear()}resizeObserver;setup(t,e){this.resizeObserver??=new ResizeObserver(this.handleResizeObserver);const n=t.querySelectorAll("code"),a=new Map(this.observedNodes);this.observedNodes.clear();for(const r of n){let i=a.get(r);if(i!=null&&i.type!=="code")throw new Error("ResizeManager.setup: somehow a code node is being used for an annotation, should be impossible");let A=r.firstElementChild;A instanceof 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this.initializeHighlighter()),this.renderFileWithHighlighter(t,this.highlighter)}renderFileWithHighlighter(t,e,n=!1){const{options:a}=this.getRenderOptions(t);return{result:rut(t,e,a,{forcePlainText:n}),options:a}}processFileResult(t,e,{code:n,themeStyles:a,baseThemeType:r}){const{disableFileHeader:i=!1}=this.options,A=[],o=fie(),s=this.getOrCreateLineCache(t);let l=0;return n_({lines:s,startingLine:e.startingLine,totalLines:e.totalLines,callback:({lineIndex:d,lineNumber:u})=>{const g=n[d];if(g==null){const p="FileRenderer.processFileResult: Line doesnt exist";throw console.error(p,{name:t.name,lineIndex:d,lineNumber:u,lines:s}),new Error(p)}if(g!=null){o.children.push(jdt("context",u,`${d}`)),A.push(g),l++;const p=this.lineAnnotations[u];p!=null&&(o.children.push(zdt("context","annotation",1)),A.push(fut({hunkIndex:0,lineIndex:u,annotations:p.map(m=>YS(m))})),l++)}}}),o.properties.style=`grid-row: span 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(pointer:fine){:is([data-line],[data-gutter-buffer],[data-column-number],[data-line-annotation],[data-no-newline],[data-merge-conflict],[data-merge-conflict-actions]):where([data-hovered]){--diffs-computed-hovered-line-bg:light-dark(color-mix(in lab, var(--diffs-computed-selected-line-bg) 97%, var(--diffs-bg-hover-override,var(--diffs-mixer))),color-mix(in lab, var(--diffs-computed-selected-line-bg) 91%, var(--diffs-bg-hover-override,var(--diffs-mixer))));--diffs-line-bg:var(--diffs-computed-hovered-line-bg,inherit)}}[data-decoration-bg]:is([data-line],[data-no-newline]){--mix-deco-light:92%;--mix-deco-dark:85%}[data-decoration-bg][data-decoration-bg-depth="2"]:is([data-line],[data-no-newline]){--mix-deco-light:88%;--mix-deco-dark:80%}[data-decoration-bg][data-decoration-bg-depth="3"]:is([data-line],[data-no-newline]){--mix-deco-light:85%;--mix-deco-dark:78%}@media (pointer:fine){[data-decoration-bg][data-hovered]:is([data-line],[data-no-newline]):not([data-selected-line]){--mix-deco-light:85%;--mix-deco-dark:85%}[data-decoration-bg][data-hovered][data-decoration-bg-depth="2"]:is([data-line],[data-no-newline]):not([data-selected-line]){--mix-deco-light:83%;--mix-deco-dark:83%}[data-decoration-bg][data-hovered][data-decoration-bg-depth="3"]:is([data-line],[data-no-newline]):not([data-selected-line]){--mix-deco-light:81%;--mix-deco-dark:81%}}[data-decoration-bg]:is([data-line],[data-no-newline]){--diffs-computed-decoration-bg:light-dark(color-mix(in lab, var(--diffs-bg) var(--mix-deco-light), var(--diffs-decoration-bg)),color-mix(in lab, var(--diffs-bg) var(--mix-deco-dark), var(--diffs-decoration-bg)));--diffs-computed-diff-line-bg:var(--diffs-computed-decoration-bg);--diffs-computed-selected-line-bg:var(--diffs-computed-decoration-bg);--diffs-line-bg:var(--diffs-computed-decoration-bg)}[data-line-annotation],[data-gutter-buffer=annotation],[data-merge-conflict-actions],[data-gutter-buffer=merge-conflict-action],[data-gutter-buffer=merge-conflict-marker-base],[data-gutter-buffer=merge-conflict-marker-separator],[data-merge-conflict=marker-base],[data-merge-conflict=marker-separator]{--diffs-computed-decoration-bg:var(--diffs-bg-context);--diffs-computed-diff-line-bg:var(--diffs-bg-context);--diffs-computed-selected-line-bg:var(--diffs-bg-context);--diffs-line-bg:var(--diffs-bg-context)}[data-gutter-buffer=merge-conflict-marker-start],[data-merge-conflict=marker-start]{--diffs-computed-decoration-bg:light-dark(color-mix(in lab, var(--diffs-bg) 78%, var(--conflict-bg-current-header-override,var(--diffs-addition-base))),color-mix(in lab, var(--diffs-bg) 68%, var(--conflict-bg-current-header-override,var(--diffs-addition-base))));--diffs-computed-diff-line-bg:var(--diffs-computed-decoration-bg);--diffs-computed-selected-line-bg:var(--diffs-computed-decoration-bg);--diffs-line-bg:var(--diffs-computed-decoration-bg)}[data-gutter-buffer=merge-conflict-marker-end],[data-merge-conflict=marker-end]{--diffs-computed-decoration-bg:light-dark(color-mix(in lab, var(--diffs-bg) 78%, var(--conflict-bg-incoming-header-override,var(--diffs-modified-base))),color-mix(in lab, var(--diffs-bg) 68%, var(--conflict-bg-incoming-header-override,var(--diffs-modified-base))));--diffs-computed-diff-line-bg:var(--diffs-computed-decoration-bg);--diffs-computed-selected-line-bg:var(--diffs-computed-decoration-bg);--diffs-line-bg:var(--diffs-computed-decoration-bg)}[data-has-merge-conflict] [data-line-annotation],[data-has-merge-conflict] [data-gutter-buffer=annotation]{--diffs-computed-decoration-bg:var(--diffs-bg);--diffs-computed-diff-line-bg:var(--diffs-bg);--diffs-computed-selected-line-bg:var(--diffs-bg);--diffs-line-bg:var(--diffs-bg)}:where([data-background]) [data-gutter-buffer],:where([data-background]) [data-column-number]{--mix-light:91%;--mix-dark:85%}:where([data-background]) [data-line],:where([data-background]) [data-no-newline]{--mix-light:88%;--mix-dark:80%}:where([data-background]) [data-gutter-buffer],:where([data-background]) [data-column-number],:where([data-background]) [data-line],:where([data-background]) [data-no-newline]{--diffs-diff-line-mix-target:var(--diffs-bg)}[data-line-type=change-deletion]:is(:where([data-background]) [data-gutter-buffer],:where([data-background]) [data-column-number],:where([data-background]) [data-line],:where([data-background]) [data-no-newline]){--diffs-diff-line-mix-target:var(--diffs-bg-deletion-override,var(--diffs-deletion-base))}@media (pointer:fine){[data-line-type=change-deletion][data-hovered]:is(:where([data-background]) [data-gutter-buffer],:where([data-background]) [data-column-number],:where([data-background]) [data-line],:where([data-background]) [data-no-newline]){--mix-light:80%;--mix-dark:75%}}[data-line-type=change-deletion]:is(:where([data-background]) [data-gutter-buffer],:where([data-background]) [data-column-number],:where([data-background]) [data-line],:where([data-background]) [data-no-newline]):where([data-gutter-buffer],[data-column-number]){color:var(--diffs-fg-number-deletion-override,var(--diffs-deletion-base));--diffs-diff-line-mix-target:var(--diffs-bg-deletion-number-override,var(--diffs-deletion-base))}[data-line-type=change-deletion]:is(:where([data-background]) [data-gutter-buffer],:where([data-background]) [data-column-number],:where([data-background]) [data-line],:where([data-background]) [data-no-newline]){--diffs-computed-diff-line-bg:light-dark(color-mix(in lab, var(--diffs-computed-decoration-bg) var(--mix-light), var(--diffs-diff-line-mix-target)),color-mix(in lab, var(--diffs-computed-decoration-bg) var(--mix-dark), var(--diffs-diff-line-mix-target)));--diffs-computed-selected-line-bg:var(--diffs-computed-diff-line-bg);--diffs-line-bg:var(--diffs-computed-diff-line-bg,inherit)}[data-line-type=change-addition]:is(:where([data-background]) [data-gutter-buffer],:where([data-background]) [data-column-number],:where([data-background]) [data-line],:where([data-background]) [data-no-newline]){--diffs-diff-line-mix-target:var(--diffs-bg-addition-override,var(--diffs-addition-base))}@media (pointer:fine){[data-line-type=change-addition][data-hovered]:is(:where([data-background]) [data-gutter-buffer],:where([data-background]) [data-column-number],:where([data-background]) [data-line],:where([data-background]) [data-no-newline]){--mix-light:80%;--mix-dark:70%}}[data-line-type=change-addition]:is(:where([data-background]) [data-gutter-buffer],:where([data-background]) [data-column-number],:where([data-background]) [data-line],:where([data-background]) [data-no-newline]):where([data-gutter-buffer],[data-column-number]){color:var(--diffs-fg-number-addition-override,var(--diffs-addition-base));--diffs-diff-line-mix-target:var(--diffs-bg-addition-number-override,var(--diffs-addition-base))}[data-line-type=change-addition]:is(:where([data-background]) [data-gutter-buffer],:where([data-background]) [data-column-number],:where([data-background]) [data-line],:where([data-background]) [data-no-newline]){--diffs-computed-diff-line-bg:light-dark(color-mix(in lab, var(--diffs-computed-decoration-bg) var(--mix-light), var(--diffs-diff-line-mix-target)),color-mix(in lab, var(--diffs-computed-decoration-bg) var(--mix-dark), var(--diffs-diff-line-mix-target)));--diffs-computed-selected-line-bg:var(--diffs-computed-diff-line-bg);--diffs-line-bg:var(--diffs-computed-diff-line-bg,inherit)}[data-merge-conflict=current]:is(:where([data-background]) [data-gutter-buffer],:where([data-background]) [data-column-number],:where([data-background]) [data-line],:where([data-background]) [data-no-newline]){--diffs-diff-line-mix-target:var(--conflict-bg-current-override,var(--diffs-addition-base))}[data-merge-conflict=current]:is(:where([data-background]) [data-gutter-buffer],:where([data-background]) [data-column-number],:where([data-background]) [data-line],:where([data-background]) [data-no-newline]):where([data-gutter-buffer],[data-column-number]){color:var(--diffs-fg-number-addition-override,var(--diffs-addition-base));--diffs-diff-line-mix-target:var(--conflict-bg-current-number-override,var(--diffs-addition-base))}@media (pointer:fine){[data-merge-conflict=current][data-hovered]:is(:where([data-background]) [data-gutter-buffer],:where([data-background]) [data-column-number],:where([data-background]) [data-line],:where([data-background]) [data-no-newline]){--mix-light:80%;--mix-dark:70%}}[data-merge-conflict=current]:is(:where([data-background]) [data-gutter-buffer],:where([data-background]) [data-column-number],:where([data-background]) [data-line],:where([data-background]) [data-no-newline]){--diffs-computed-diff-line-bg:light-dark(color-mix(in lab, var(--diffs-computed-decoration-bg) var(--mix-light), var(--diffs-diff-line-mix-target)),color-mix(in lab, var(--diffs-computed-decoration-bg) var(--mix-dark), var(--diffs-diff-line-mix-target)));--diffs-computed-selected-line-bg:var(--diffs-computed-diff-line-bg);--diffs-line-bg:var(--diffs-computed-diff-line-bg,inherit)}[data-merge-conflict=incoming]:is(:where([data-background]) [data-gutter-buffer],:where([data-background]) [data-column-number],:where([data-background]) [data-line],:where([data-background]) [data-no-newline]){--diffs-diff-line-mix-target:var(--conflict-bg-incoming-override,var(--diffs-modified-base))}[data-merge-conflict=incoming]:is(:where([data-background]) [data-gutter-buffer],:where([data-background]) [data-column-number],:where([data-background]) [data-line],:where([data-background]) [data-no-newline]):where([data-gutter-buffer],[data-column-number]){color:var(--diffs-modified-base);--diffs-diff-line-mix-target:var(--conflict-bg-incoming-number-override,var(--diffs-modified-base))}@media (pointer:fine){[data-merge-conflict=incoming][data-hovered]:is(:where([data-background]) [data-gutter-buffer],:where([data-background]) [data-column-number],:where([data-background]) [data-line],:where([data-background]) [data-no-newline]){--mix-light:80%;--mix-dark:70%}}[data-merge-conflict=incoming]:is(:where([data-background]) [data-gutter-buffer],:where([data-background]) [data-column-number],:where([data-background]) [data-line],:where([data-background]) [data-no-newline]){--diffs-computed-diff-line-bg:light-dark(color-mix(in lab, var(--diffs-computed-decoration-bg) var(--mix-light), var(--diffs-diff-line-mix-target)),color-mix(in lab, var(--diffs-computed-decoration-bg) var(--mix-dark), var(--diffs-diff-line-mix-target)));--diffs-computed-selected-line-bg:var(--diffs-computed-diff-line-bg);--diffs-line-bg:var(--diffs-computed-diff-line-bg,inherit)}[data-gutter-buffer],[data-column-number],[data-line],[data-line-annotation],[data-merge-conflict],[data-merge-conflict-actions],[data-no-newline]{--diffs-selection-mix-target:var(--diffs-bg-selection-override,var(--diffs-selection-base))}[data-selected-line]:is([data-gutter-buffer],[data-column-number],[data-line],[data-line-annotation],[data-merge-conflict],[data-merge-conflict-actions],[data-no-newline]):where([data-line],[data-line-annotation],[data-merge-conflict],[data-merge-conflict-actions],[data-no-newline]){--mix-selection-light:82%;--mix-selection-dark:75%}@media (pointer:fine){[data-selected-line][data-hovered]:is([data-gutter-buffer],[data-column-number],[data-line],[data-line-annotation],[data-merge-conflict],[data-merge-conflict-actions],[data-no-newline]):where([data-line],[data-line-annotation],[data-merge-conflict],[data-merge-conflict-actions],[data-no-newline]):not([data-merge-conflict],[data-line-type=change-addition],[data-line-type=change-deletion]){--mix-selection-light:75%;--mix-selection-dark:70%}}[data-selected-line]:is([data-gutter-buffer],[data-column-number],[data-line],[data-line-annotation],[data-merge-conflict],[data-merge-conflict-actions],[data-no-newline]):where([data-gutter-buffer],[data-column-number]){--mix-selection-light:75%;--mix-selection-dark:60%;--diffs-selection-mix-target:var(--diffs-bg-selection-number-override,var(--diffs-selection-base))}@media (pointer:fine){[data-selected-line][data-hovered]:is([data-gutter-buffer],[data-column-number],[data-line],[data-line-annotation],[data-merge-conflict],[data-merge-conflict-actions],[data-no-newline]):where([data-gutter-buffer],[data-column-number]):not([data-merge-conflict],[data-line-type=change-addition],[data-line-type=change-deletion]){--mix-selection-light:70%;--mix-selection-dark:55%}}[data-selected-line]:is([data-gutter-buffer],[data-column-number],[data-line],[data-line-annotation],[data-merge-conflict],[data-merge-conflict-actions],[data-no-newline]){--diffs-computed-selected-line-bg:light-dark(color-mix(in lab, var(--diffs-computed-diff-line-bg) var(--mix-selection-light), var(--diffs-selection-mix-target)),color-mix(in lab, var(--diffs-computed-diff-line-bg) var(--mix-selection-dark), var(--diffs-selection-mix-target)));--diffs-line-bg:var(--diffs-computed-selected-line-bg,inherit)}[data-selected-line]:is([data-gutter-buffer],[data-column-number]){color:var(--diffs-selection-number-fg)}[data-no-newline]{-webkit-user-select:none;user-select:none}[data-no-newline] span{opacity:.6}[data-diff-type=split][data-overflow=scroll]{grid-template-columns:1fr 1fr;display:grid}[data-diff-type=split][data-overflow=scroll] [data-additions]{border-left:1px solid var(--diffs-bg)}[data-diff-type=split][data-overflow=scroll] [data-deletions]{border-right:1px solid var(--diffs-bg)}[data-code]{grid-auto-flow:dense;grid-template-columns:var(--diffs-code-grid);overscroll-behavior-x:none;tab-size:var(--diffs-tab-size,2);padding-top:var(--diffs-gap-block,var(--diffs-gap-fallback));padding-bottom:max(0px, calc(var(--diffs-gap-block,var(--diffs-gap-fallback)) - 6px));align-self:flex-start;display:grid;overflow:scroll 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[data-gutter]{position:sticky;left:0}[data-interactive-lines] [data-line]{cursor:pointer}[data-content-buffer],[data-gutter-buffer]{-webkit-user-select:none;user-select:none;min-height:1lh;position:relative}[data-gutter-buffer=annotation]{min-height:0}[data-gutter-buffer=buffer]{background-position:0 0;background-size:8px 8px;background-origin:border-box;background-image:repeating-linear-gradient(-45deg, transparent, transparent 4.242px, rgb(from var(--diffs-bg-buffer) r g b / .8) 4.242px, rgb(from var(--diffs-bg-buffer) r g b / .8) 5.656px)}[data-content-buffer]{background-position:5px 0;background-size:8px 8px;background-origin:border-box;background-image:repeating-linear-gradient(-45deg, transparent, transparent 4.242px, var(--diffs-bg-buffer) 4.242px, var(--diffs-bg-buffer) 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0}renderAnnotations(){if(this.isContainerManaged||this.fileContainer==null){for(const{element:a}of this.annotationCache.values())a.remove();this.annotationCache.clear();return}const e=new Map(this.annotationCache),{renderAnnotation:n}=this.options;if(n!=null&&this.lineAnnotations.length>0)for(const[a,r]of this.lineAnnotations.entries()){const i=`${a}-${YS(r)}`;let A=this.annotationCache.get(i);if(A==null||!Sut(r,A.annotation)){A?.element.remove();const o=n(r);if(o==null)continue;A={element:Nut(YS(r)),annotation:r},A.element.appendChild(o),this.fileContainer.appendChild(A.element),this.annotationCache.set(i,A)}e.delete(i)}for(const[a,{element:r}]of e.entries())this.annotationCache.delete(a),r.remove()}renderGutterUtility(){const e=this.options.renderGutterUtility??this.options.renderHoverUtility;if(this.fileContainer==null||e==null){this.gutterUtilityContent?.remove(),this.gutterUtilityContent=void 0;return}const n=e(this.interactionManager.getHoveredLine);if(n!=null&&this.gutterUtilityContent!=null)return;if(n==null){this.gutterUtilityContent?.remove(),this.gutterUtilityContent=void 0;return}const a=Mut();a.appendChild(n),this.fileContainer.appendChild(a),this.gutterUtilityContent=a}injectUnsafeCSS(){const{unsafeCSS:e}=this.options,n=this.fileContainer?.shadowRoot;if(n!=null){if(e==null||e===""){this.unsafeCSSStyle!=null&&(this.unsafeCSSStyle.remove(),this.unsafeCSSStyle=void 0),this.appliedUnsafeCSS=void 0;return}this.unsafeCSSStyle?.parentNode===n&&this.appliedUnsafeCSS===e||(this.unsafeCSSStyle??=Fut(),this.unsafeCSSStyle.parentNode!==n&&n.appendChild(this.unsafeCSSStyle),this.unsafeCSSStyle.textContent=Tut(e),this.appliedUnsafeCSS=e)}}applyThemeState(e,n,a,r){const i=e.shadowRoot??e.attachShadow({mode:"open"}),A=r??a;this.themeCSSStyle?.parentNode===i&&this.appliedThemeCSS?.themeStyles===n&&this.appliedThemeCSS.themeType===A||(this.themeCSSStyle=Uut({shadowRoot:i,currentNode:this.themeCSSStyle,themeCSS:Gut(n,A)}),this.appliedThemeCSS=this.themeCSSStyle!=null?{themeStyles:n,themeType:A,baseThemeType:r}:void 0)}applyFullRender(e,n){this.cleanupErrorWrapper(),this.applyPreNodeAttributes(n,e),this.code=Out({code:this.code}),this.code.innerHTML=this.fileRenderer.renderPartialHTML(this.fileRenderer.renderCodeAST(e)),n.replaceChildren(this.code),this.lastRowCount=e.rowCount}applyPartialRender(e,n){if(e==null||n==null)return!1;const{file:a,code:r}=this,i=r!=null?this.getColumns(r):void 0;if(a==null||r==null||i==null)return!1;const A=e.startingLine,o=n.startingLine,s=e.totalLines===1/0?Number.POSITIVE_INFINITY:A+e.totalLines,l=n.totalLines===1/0?Number.POSITIVE_INFINITY:o+n.totalLines,d=Math.max(A,o),u=Math.min(s,l);if(u<=d||!this.trimDOMToOverlap(i.gutter,d,u)||!this.trimDOMToOverlap(i.content,d,u))return!1;let{length:g}=i.content.children;const p=(C,I)=>{if(!(I<=0))return this.fileRenderer.renderFile(a,{startingLine:C,totalLines:I,bufferBefore:0,bufferAfter:0})},m=ou?p(u,f):void 0;return b===void 0&&l>u?!1:(this.cleanupErrorWrapper(),m!=null&&(i.gutter.insertAdjacentHTML("afterbegin",this.fileRenderer.renderPartialHTML(m.gutterAST)),i.content.insertAdjacentHTML("afterbegin",this.fileRenderer.renderPartialHTML(m.contentAST)),g+=m.rowCount),b!=null&&(i.gutter.insertAdjacentHTML("beforeend",this.fileRenderer.renderPartialHTML(b.gutterAST)),i.content.insertAdjacentHTML("beforeend",this.fileRenderer.renderPartialHTML(b.contentAST)),g+=b.rowCount),this.lastRowCount!==g&&(i.gutter.style.setProperty("grid-row",`span ${g}`),i.content.style.setProperty("grid-row",`span ${g}`),this.lastRowCount=g),!0)}getColumns(e){const n=e.children[0],a=e.children[1];if(!(!(n instanceof HTMLElement)||!(a instanceof HTMLElement)||n.dataset.gutter==null||a.dataset.content==null))return{gutter:n,content:a}}trimDOMToOverlap(e,n,a){const r=this.getDOMBoundaryIndices(e,[n,a]),i=r.get(n)??e.children.length,A=r.get(a)??e.children.length;if(i>A)return!1;for(let o=e.children.length-1;o>=A;o-=1)e.children[o]?.remove();for(let o=i-1;o>=0;o-=1)e.children[o]?.remove();return!0}getDOMBoundaryIndices(e,n){const a=[...new Set(n)].sort((s,l)=>s-l),r=new Map;if(a.length===0)return r;let i=0,A=a[i];const{children:o}=e;for(let s=0;s=A;)r.set(A,s),i+=1,A=a[i];if(i>=a.length)break}}for(const s of a)r.has(s)||r.set(s,o.length);return r}getLineIndexFromDOMNode(e){const n=e.dataset.lineIndex;if(n==null)return;const a=Number(n);return Number.isNaN(a)?void 0:a}applyBuffers(e,n){const{disableVirtualizationBuffers:a=!1}=this.options;if(a||n==null){this.bufferBefore!=null&&(this.bufferBefore.remove(),this.bufferBefore=void 0),this.bufferAfter!=null&&(this.bufferAfter.remove(),this.bufferAfter=void 0);return}n.bufferBefore>0?(this.bufferBefore==null&&(this.bufferBefore=document.createElement("div"),this.bufferBefore.dataset.virtualizerBuffer="before",e.before(this.bufferBefore)),this.bufferBefore.style.setProperty("height",`${n.bufferBefore}px`),this.bufferBefore.style.setProperty("contain","strict")):this.bufferBefore!=null&&(this.bufferBefore.remove(),this.bufferBefore=void 0),n.bufferAfter>0?(this.bufferAfter==null&&(this.bufferAfter=document.createElement("div"),this.bufferAfter.dataset.virtualizerBuffer="after",e.after(this.bufferAfter)),this.bufferAfter.style.setProperty("height",`${n.bufferAfter}px`),this.bufferAfter.style.setProperty("contain","strict")):this.bufferAfter!=null&&(this.bufferAfter.remove(),this.bufferAfter=void 0)}applyHeaderToDOM(e,n){const{file:a}=this;if(a==null)return;this.cleanupErrorWrapper(),this.placeHolder?.remove(),this.placeHolder=void 0;const r=SC(e);if(r!==this.lastRenderedHeaderHTML){const s=document.createElement("div");s.innerHTML=r;const l=s.firstElementChild;if(!(l instanceof HTMLElement))return;this.headerElement!=null?n.shadowRoot?.replaceChild(l,this.headerElement):n.shadowRoot?.prepend(l),this.headerElement=l,this.lastRenderedHeaderHTML=r}if(this.isContainerManaged)return;const{renderHeaderPrefix:i,renderCustomHeader:A,renderCustomMetadata:o}=this.options;if(A!=null){const s=A(a)??void 0;this.headerCustom=this.upsertHeaderSlotElement(n,this.headerCustom,JH,s),this.headerPrefix?.remove(),this.headerMetadata?.remove(),this.headerPrefix=void 0,this.headerMetadata=void 0}else{const s=i?.(a)??void 0,l=o?.(a)??void 0;this.headerPrefix=this.upsertHeaderSlotElement(n,this.headerPrefix,jH,s),this.headerMetadata=this.upsertHeaderSlotElement(n,this.headerMetadata,zH,l),this.headerCustom?.remove(),this.headerCustom=void 0}}clearHeaderSlots(){this.headerPrefix?.remove(),this.headerMetadata?.remove(),this.headerCustom?.remove(),this.headerPrefix=void 0,this.headerMetadata=void 0,this.headerCustom=void 0}upsertHeaderSlotElement(e,n,a,r){if(r==null){n?.remove();return}const i=n??this.createHeaderSlotElement(a);return n==null&&e.appendChild(i),this.replaceHeaderSlotContent(i,r),i}replaceHeaderSlotContent(e,n){e.replaceChildren(),n instanceof Element?e.appendChild(n):e.innerText=`${n}`}createHeaderSlotElement(e){const n=document.createElement("div");return n.slot=e,n}getOrCreateFileContainerNode(e,n){const a=this.fileContainer;if(this.fileContainer=e??this.fileContainer??document.createElement(HS),a!=null&&a!==this.fileContainer&&(this.lastRenderedHeaderHTML=void 0,this.headerElement=void 0),n!=null&&this.fileContainer.parentNode!==n&&n.appendChild(this.fileContainer),this.spriteSVG==null){const r=document.createElement("div");r.innerHTML=xut;const i=r.firstChild;i instanceof SVGElement&&(this.spriteSVG=i,this.fileContainer.shadowRoot?.appendChild(this.spriteSVG))}return this.fileContainer}getOrCreatePreNode(e){const n=e.shadowRoot??e.attachShadow({mode:"open"});return this.pre==null?(this.pre=document.createElement("pre"),this.appliedPreAttributes=void 0,this.code=void 0,n.appendChild(this.pre)):this.pre.parentNode!==n&&(e.shadowRoot?.appendChild(this.pre),this.appliedPreAttributes=void 0),this.placeHolder?.remove(),this.placeHolder=void 0,this.pre}syncCodeNodeFromPre(e){this.code=void 0;for(const n of Array.from(e.children))if(n instanceof HTMLElement&&n.hasAttribute("data-code")){this.code=n;return}}applyPreNodeAttributes(e,{totalLines:n}){const{overflow:a="scroll",disableLineNumbers:r=!1}=this.options,i={type:"file",split:!1,overflow:a,disableLineNumbers:r,diffIndicators:"none",disableBackground:!0,totalLines:n};_ut(i,this.appliedPreAttributes)||(Hut(e,i),this.appliedPreAttributes=i)}applyErrorToDOM(e,n){this.cleanupErrorWrapper();const a=this.getOrCreatePreNode(n);a.innerHTML="",a.remove(),this.pre=void 0,this.appliedPreAttributes=void 0;const r=n.shadowRoot??n.attachShadow({mode:"open"});this.errorWrapper??=document.createElement("div"),this.errorWrapper.dataset.errorWrapper="",this.errorWrapper.innerHTML="",r.appendChild(this.errorWrapper);const i=document.createElement("div");i.dataset.errorMessage="",i.innerText=e.message,this.errorWrapper.appendChild(i);const A=document.createElement("pre");A.dataset.errorStack="",A.innerText=e.stack??"No Error Stack",this.errorWrapper.appendChild(A)}cleanupErrorWrapper(){this.errorWrapper?.remove(),this.errorWrapper=void 0}};function zut(t,e,n=!1){return!n&&t==null&&e!=null}function Jut(t,e,n=!1){return t==null&&e!=null&&!n}let Wut=-1;var Zut=class extends Rwe{__id=`virtualized-file:${++Wut}`;top;height=0;heightCache=new Map;isVisible=!1;isSetup=!1;constructor(t,e,n=NAt,a,r=!1){super(t,a,r),this.virtualizer=e,this.metrics=n}getLineHeight(t,e=!1){const n=this.heightCache.get(t);if(n!=null)return n;const a=e?2:1;return this.metrics.lineHeight*a}setOptions(t){if(t==null)return;const e=this.options.overflow,n=this.options.collapsed;super.setOptions(t),(e!==this.options.overflow||n!==this.options.collapsed)&&(this.heightCache.clear(),this.computeApproximateSize(),this.renderRange=void 0),this.virtualizer.instanceChanged(this)}reconcileHeights(){if(this.fileContainer==null||this.file==null){this.height=0;return}const{overflow:t="scroll"}=this.options;if(this.top=this.virtualizer.getOffsetInScrollContainer(this.fileContainer),t==="scroll"&&this.lineAnnotations.length===0&&!this.virtualizer.config.resizeDebugging)return;let e=!1;if(this.code==null)return;const n=this.code.children[1];if(n instanceof HTMLElement){for(const a of n.children){if(!(a instanceof HTMLElement))continue;const r=a.dataset.lineIndex;if(r==null)continue;const i=Number(r);let A=a.getBoundingClientRect().height,o=!1;a.nextElementSibling instanceof HTMLElement&&("lineAnnotation"in a.nextElementSibling.dataset||"noNewline"in a.nextElementSibling.dataset)&&("noNewline"in a.nextElementSibling.dataset&&(o=!0),A+=a.nextElementSibling.getBoundingClientRect().height);const s=this.getLineHeight(i,o);A!==s&&(e=!0,A===this.metrics.lineHeight*(o?2:1)?this.heightCache.delete(i):this.heightCache.set(i,A))}(e||this.virtualizer.config.resizeDebugging)&&this.computeApproximateSize()}}onRender=t=>this.fileContainer==null||this.file==null?!1:(t&&(this.top=this.virtualizer.getOffsetInScrollContainer(this.fileContainer)),this.render({file:this.file}));cleanUp(){this.fileContainer!=null&&this.virtualizer.disconnect(this.fileContainer),this.isSetup=!1,super.cleanUp()}computeApproximateSize(){const t=this.height===0;if(this.height=0,this.file==null)return;const{disableFileHeader:e=!1,collapsed:n=!1,overflow:a="scroll"}=this.options,{diffHeaderHeight:r,fileGap:i,lineHeight:A}=this.metrics,o=this.getOrCreateLineCache(this.file);if(e?this.height+=i:this.height+=r,!n&&(a==="scroll"&&this.lineAnnotations.length===0?this.height+=this.getOrCreateLineCache(this.file).length*A:n_({lines:o,callback:({lineIndex:s})=>{this.height+=this.getLineHeight(s,!1)}}),o.length>0&&(this.height+=i),this.fileContainer!=null&&this.virtualizer.config.resizeDebugging&&!t)){const s=this.fileContainer.getBoundingClientRect();s.height!==this.height?console.log("VirtualizedFile.computeApproximateSize: computed height doesnt match",{name:this.file.name,elementHeight:s.height,computedHeight:this.height}):console.log("VirtualizedFile.computeApproximateSize: computed height IS CORRECT")}}setVisibility(t){this.fileContainer!=null&&(t&&!this.isVisible?(this.top=this.virtualizer.getOffsetInScrollContainer(this.fileContainer),this.isVisible=!0):!t&&this.isVisible&&(this.isVisible=!1,this.rerender()))}render({fileContainer:t,file:e,...n}){const{isSetup:a}=this;if(this.file??=e,t=this.getOrCreateFileContainerNode(t),this.file==null)return console.error("VirtualizedFile.render: attempting to virtually render when we dont have file"),!1;if(a?this.top??=this.virtualizer.getOffsetInScrollContainer(t):(this.computeApproximateSize(),this.virtualizer.connect(t,this),this.top??=this.virtualizer.getOffsetInScrollContainer(t),this.isVisible=this.virtualizer.isInstanceVisible(this.top,this.height),this.isSetup=!0),!this.isVisible)return this.renderPlaceholder(this.height);const r=this.virtualizer.getWindowSpecs(),i=this.computeRenderRangeFromWindow(this.file,this.top,r);return super.render({file:this.file,fileContainer:t,renderRange:i,...n})}computeRenderRangeFromWindow(t,e,{top:n,bottom:a}){const{disableFileHeader:r=!1,overflow:i="scroll"}=this.options,{diffHeaderHeight:A,fileGap:o,hunkLineCount:s,lineHeight:l}=this.metrics,d=this.getOrCreateLineCache(t),u=d.length,g=this.height,p=r?o:A;if(ea)return{startingLine:0,totalLines:0,bufferBefore:0,bufferAfter:g-p-o};if(u<=s)return{startingLine:0,totalLines:s,bufferBefore:0,bufferAfter:0};const m=Math.ceil(Math.max(a-n,0)/l),f=Math.ceil(m/s)*s+s*2,b=f/s,C=(n+a)/2;if(i==="scroll"&&this.lineAnnotations.length===0){const L=Math.floor((C-(e+p))/l),U=Math.floor(L/s)-Math.floor(b/2),H=Math.ceil(u/s),q=Math.max(0,Math.min(U,H))*s,P=U<0?f+U*s:f,j=q*l,Z=Math.min(P,u-q);return{startingLine:q,totalLines:P,bufferBefore:j,bufferAfter:Math.max(0,(u-q-Z)*l)}}const I=b,B=[];let w=e+p,k=0,_,D,x;if(n_({lines:d,callback:({lineIndex:L})=>{const U=k%s===0;if(U&&(B.push(w-(e+p)),x!=null)){if(x<=0)return!0;x--}const H=this.getLineHeight(L,!1),q=Math.floor(k/s);return w>n-H&&wC&&(D??=q),x==null&&w>=a&&U&&(x=I),k++,w+=H,!1}}),_==null)return{startingLine:0,totalLines:0,bufferBefore:0,bufferAfter:g-p-o};const S=B.length;D??=_;const F=Math.round(D-b/2),M=Math.max(0,S-b),O=Math.max(0,Math.min(F,M)),K=O*s,R=F<0?f+F*s:f,G=B[O]??0,T=O+R/s;return{startingLine:K,totalLines:R,bufferBefore:G,bufferAfter:T"u"?J.useEffect:J.useLayoutEffect;function $ut({file:t,options:e,lineAnnotations:n,selectedLines:a,prerenderedHTML:r,metrics:i,hasGutterRenderUtility:A,hasCustomHeader:o,disableWorkerPool:s}){const l=GAt(),d=J.useContext(out),u=J.useRef(null),g=sut(p=>{if(p!=null){if(u.current!=null)throw new Error("File: An instance should not already exist when a node is created");l!=null?u.current=new Zut(k8({hasCustomHeader:o,hasGutterRenderUtility:A,options:e}),l,i,s?void 0:d,!0):u.current=new Rwe(k8({hasCustomHeader:o,hasGutterRenderUtility:A,options:e}),s?void 0:d,!0),u.current.hydrate({file:t,fileContainer:p,lineAnnotations:n,prerenderedHTML:r})}else{if(u.current==null)throw new Error("File: A File instance should exist when unmounting");u.current.cleanUp(),u.current=null}});return Xut(()=>{if(u.current==null)return;const p=k8({hasCustomHeader:o,hasGutterRenderUtility:A,options:e}),m=!Vut(u.current.options,p);u.current.setOptions(p),u.current.render({file:t,lineAnnotations:n,forceRender:m}),a!==void 0&&u.current.setSelectedLines(a)}),{ref:g,getHoveredLine:J.useCallback(()=>u.current?.getHoveredLine(),[])}}function k8({options:t,hasCustomHeader:e,hasGutterRenderUtility:n}){return n||e?{...t,renderCustomHeader:e?wre:void 0,renderGutterUtility:n?wre:void 0}:t}function egt({file:t,lineAnnotations:e,selectedLines:n,options:a,metrics:r,className:i,style:A,renderAnnotation:o,renderCustomHeader:s,renderHeaderPrefix:l,renderHeaderMetadata:d,prerenderedHTML:u,renderGutterUtility:g,renderHoverUtility:p,disableWorkerPool:m=!1}){const{ref:f,getHoveredLine:b}=$ut({file:t,options:a,metrics:r,lineAnnotations:e,selectedLines:n,prerenderedHTML:u,hasGutterRenderUtility:g!=null||p!=null,hasCustomHeader:s!=null,disableWorkerPool:m});return y.jsx(HS,{ref:f,className:i,style:A,children:LAt(FAt({file:t,renderAnnotation:o,renderCustomHeader:s,renderHeaderPrefix:l,renderHeaderMetadata:d,renderGutterUtility:g,renderHoverUtility:p,lineAnnotations:e,getHoveredLine:b}),u)})}const tgt={appearance:"none",display:"flex",alignItems:"center",justifyContent:"center",width:"1lh",height:"1lh",fontSize:"var(--diffs-font-size, 13px)",lineHeight:"var(--diffs-line-height, 20px)",border:"none",borderRadius:4,backgroundColor:"var(--diffs-modified-base)",color:"var(--diffs-bg)",cursor:"pointer",position:"relative",zIndex:4,padding:0,marginRight:"calc(1ch - 1lh)"};function Sie(){try{const t=getComputedStyle(document.documentElement);return{bg:t.getPropertyValue("--background").trim(),fg:t.getPropertyValue("--foreground").trim()}}catch{return{bg:"",fg:""}}}function _ie(t,e,n){return!e||!n?"":` + :host { + color-scheme: ${t}; + height: 100% !important; + } + :host, [data-diff], [data-file], [data-diffs-header], [data-error-wrapper], [data-virtualizer-buffer] { + --diffs-bg: ${e} !important; + --diffs-fg: ${n} !important; + --diffs-dark-bg: ${e}; + --diffs-light-bg: ${e}; + --diffs-dark: ${n}; + --diffs-light: ${n}; + } + pre, code { background-color: ${e} !important; } + [data-column-number] { background-color: ${e} !important; } + [data-file] { height: 100% !important; } + [data-code] { height: 100% !important; overflow-y: auto !important; } + [data-line] { cursor: pointer; } + `}function ngt(t,e,n){return t.split(` +`).slice(Math.max(0,e-1),Math.max(0,n)).join(` +`)}function Nwe(t,e){return t===e?`line ${t}`:`lines ${t}-${e}`}function Rie(t){let e=t;for(e?.nodeType===Node.TEXT_NODE&&(e=e.parentNode);e;){if(e instanceof HTMLElement){const n=e.closest("[data-line]")?.getAttribute("data-line");if(n){const a=Number(n);return Number.isFinite(a)?a:null}}e=e.parentNode}return null}function agt(t){const n=t?.querySelector("diffs-container")?.shadowRoot?.getSelection?.();return n&&!n.isCollapsed?n:window.getSelection()}const rgt=({annotation:t,isSelected:e,onSelect:n,onEdit:a,onDelete:r})=>{const[i,A]=J.useState(!1),[o,s]=J.useState(t.text??""),l=J.useRef(null);J.useEffect(()=>{i||s(t.text??"")},[t.text,i]),J.useEffect(()=>{i&&(l.current?.focus(),l.current?.select())},[i]);const d=()=>{a?.(t.id,{text:o}),A(!1)};return y.jsxs("div",{"data-code-annotation-id":t.id,onClick:()=>n?.(t.id),className:`group my-2 mx-3 rounded-lg border px-3 py-2 text-xs 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We are targeting **production-grade concurrency** for up to 50 active collaborators per document, with end-to-end edit-to-visible latency under 150ms at the 95th percentile. The implementation uses operational transforms running on a dedicated Node.js gateway that speaks \`WebSocket\` to clients and \`gRPC\` to the storage tier. See [the technical design doc](https://docs.example.com/realtime-v2) for the full rationale and rollout plan. The editor entry point is [App.tsx](packages/editor/App.tsx) and the server config lives in [server/index.ts](packages/server/index.ts). + +Runtime parameters for phase one: + +\`\`\`typescript +export const COLLAB_CONFIG = { + maxCollaborators: 50, + heartbeatIntervalMs: 5_000, + operationBatchSize: 32, + gateway: "wss://collab.plannotator.ai", +} as const; +\`\`\` + +### Configuration reference + +| Parameter | Value | Description | +| --- | --- | --- | +| \`maxCollaborators\` | 50 | Hard ceiling per document before the gateway rejects new joins | +| \`heartbeatIntervalMs\` | 5 000 ms | Ping cadence; three missed heartbeats trigger a reconnect | +| \`operationBatchSize\` | 32 | Max ops coalesced into a single WebSocket frame | +| \`gateway\` | \`wss://collab.plannotator.ai\` | Regional edge endpoint; clients are routed by latency | + +### Key files + +| File | Role | +| --- | --- | +| \`packages/editor/App.tsx\` | Editor entry point | +| \`packages/shared/resolve-file.ts\` | Path resolution | +| \`packages/fake/nope.ts\` | Should fail silently | +| \`package.json\` | Root config | + +## Overview +Add real-time collaboration features to the editor using _**[WebSocket API](https://developer.mozilla.org/en-US/docs/Web/API/WebSockets_API)**_ and *[operational transforms](https://en.wikipedia.org/wiki/Operational_transformation)*. + +## Phase 1: Infrastructure + +### WebSocket Server +Set up a WebSocket server to handle concurrent connections: + +\`\`\`typescript +const server = new WebSocketServer({ port: 8080 }); + +server.on('connection', (socket, request) => { + const sessionId = generateSessionId(); + sessions.set(sessionId, socket); + + socket.on('message', (data) => { + broadcast(sessionId, data); + }); +}); +\`\`\` + +### Client Connection +- Establish persistent connection on document load + - Initialize WebSocket with authentication token + - Set up heartbeat ping/pong every 30 seconds + - Handle connection state changes (connecting, open, closing, closed) +- Implement reconnection logic with exponential backoff + - Start with 1 second delay + - Double delay on each retry (max 30 seconds) + - Reset delay on successful connection +- Handle offline state gracefully + - Queue local changes in IndexedDB + - Show offline indicator in UI + - Sync queued changes on reconnect + +### Database Schema + +\`\`\`sql +CREATE TABLE documents ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + title VARCHAR(255) NOT NULL, + content JSONB NOT NULL DEFAULT '{}', + created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(), + updated_at TIMESTAMP WITH TIME ZONE DEFAULT NOW() +); + +CREATE TABLE collaborators ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + document_id UUID REFERENCES documents(id) ON DELETE CASCADE, + user_id UUID NOT NULL, + role VARCHAR(50) DEFAULT 'editor', + cursor_position JSONB, + last_seen_at TIMESTAMP WITH TIME ZONE DEFAULT NOW() +); + +CREATE INDEX idx_collaborators_document ON collaborators(document_id); +\`\`\` + +## Phase 2: Operational Transforms + +> The key insight is that we need to transform operations against concurrent operations to maintain consistency. + +Key requirements: +- Transform insert against insert + - Same position: use user ID for deterministic ordering + - Different positions: adjust offset of later operation +- Transform insert against delete + - Insert before delete: no change needed + - Insert inside deleted range: special handling required + - Option A: Move insert to delete start position + - Option B: Discard the insert entirely + - Insert after delete: adjust insert position +- Transform delete against delete + - Non-overlapping: adjust positions + - Overlapping: merge or split operations +- Maintain cursor positions across transforms + - Track cursor as a zero-width insert operation + - Update cursor position after each transform + +### Transform Implementation + +\`\`\`typescript +interface Operation { + type: 'insert' | 'delete'; + position: number; + content?: string; + length?: number; + userId: string; + timestamp: number; +} + +class OperationalTransform { + private pendingOps: Operation[] = []; + private history: Operation[] = []; + + transform(op1: Operation, op2: Operation): [Operation, Operation] { + if (op1.type === 'insert' && op2.type === 'insert') { + if (op1.position <= op2.position) { + return [op1, { ...op2, position: op2.position + (op1.content?.length || 0) }]; + } else { + return [{ ...op1, position: op1.position + (op2.content?.length || 0) }, op2]; + } + } + + if (op1.type === 'delete' && op2.type === 'delete') { + // Complex delete vs delete transformation + const op1End = op1.position + (op1.length || 0); + const op2End = op2.position + (op2.length || 0); + + if (op1End <= op2.position) { + return [op1, { ...op2, position: op2.position - (op1.length || 0) }]; + } + // ... more cases + } + + return [op1, op2]; + } + + apply(doc: string, op: Operation): string { + if (op.type === 'insert') { + return doc.slice(0, op.position) + op.content + doc.slice(op.position); + } else { + return doc.slice(0, op.position) + doc.slice(op.position + (op.length || 0)); + } + } +} +\`\`\` + +## Phase 3: UI Updates + +1. Show collaborator cursors in real-time + - Render cursor as colored vertical line + - Add name label above cursor + - Animate cursor movement smoothly +2. Display presence indicators + - Avatar stack in header + - Dropdown with full collaborator list + - Show online/away status + - Display last activity time + - Allow @mentioning collaborators +3. Add conflict resolution UI + - Highlight conflicting regions + - Show diff comparison panel + - Provide merge options: + - Accept mine + - Accept theirs + - Manual merge +4. Implement undo/redo stack per user + - Track operations by user ID + - Allow undoing only own changes + - Show undo history in sidebar + +### React Component for Cursors + +\`\`\`tsx +import React, { useEffect, useState } from 'react'; +import { useCollaboration } from '../hooks/useCollaboration'; + +interface CursorOverlayProps { + documentId: string; + containerRef: React.RefObject; +} + +export const CursorOverlay: React.FC = ({ + documentId, + containerRef +}) => { + const { collaborators, currentUser } = useCollaboration(documentId); + const [positions, setPositions] = useState>(new Map()); + + useEffect(() => { + const updatePositions = () => { + const newPositions = new Map(); + collaborators.forEach(collab => { + if (collab.userId !== currentUser.id && collab.cursorPosition) { + const rect = getCursorRect(containerRef.current, collab.cursorPosition); + if (rect) newPositions.set(collab.userId, rect); + } + }); + setPositions(newPositions); + }; + + const interval = setInterval(updatePositions, 50); + return () => clearInterval(interval); + }, [collaborators, currentUser, containerRef]); + + return ( + <> + {Array.from(positions.entries()).map(([userId, rect]) => ( +

+
+
+ {collaborators.find(c => c.userId === userId)?.userName} +
+
+ ))} + + ); +}; +\`\`\` + +### Configuration + +\`\`\`json +{ + "collaboration": { + "enabled": true, + "maxCollaborators": 10, + "cursorColors": ["#3B82F6", "#10B981", "#F59E0B", "#EF4444", "#8B5CF6"], + "syncInterval": 100, + "reconnect": { + "maxAttempts": 5, + "backoffMultiplier": 1.5, + "initialDelay": 1000 + } + } +} +\`\`\` + +--- + +## Pre-launch Checklist + +- [ ] Infrastructure ready + - [x] WebSocket server deployed + - [x] Database migrations applied + - [ ] Load balancer configured + - [ ] SSL certificates installed + - [ ] Health checks enabled + - [ ] /health endpoint returns 200 + - [ ] /ready endpoint checks DB connection + - [ ] Primary database + - [ ] Read replicas + - [ ] us-east-1 replica + - [ ] eu-west-1 replica +- [ ] Security audit complete + - [x] Authentication flow reviewed + - [ ] Rate limiting implemented + - [x] 100 req/min for anonymous users + - [ ] 1000 req/min for authenticated users + - [ ] Input sanitization verified +- [x] Documentation updated + - [x] API reference generated + - [x] Integration guide written + - [ ] Video tutorials recorded + +### API Endpoints + +| Method | Endpoint | Description | Auth | +|--------|----------|-------------|------| +| GET | /api/documents | List all documents | Required | +| POST | /api/documents | Create new document | Required | +| GET | /api/documents/:id | Fetch document | Required | +| PUT | /api/documents/:id | Update document | Owner/Editor | +| DELETE | /api/documents/:id | Delete document | Owner only | +| POST | /api/documents/:id/share | Share document | Owner only | +| GET | /api/documents/:id/collaborators | List collaborators | Required | + +### Performance Targets + +| Metric | Target | Current | Status | +|--------|--------|---------|--------| +| WebSocket latency | < 50ms | 42ms | On track | +| Time to first cursor | < 200ms | 310ms | **At risk** | +| Concurrent users/doc | 50 | 25 | In progress | +| Operation transform | < 5ms | 3ms | On track | +| Reconnect time | < 2s | 1.8s | On track | + +### Mixed List Styles + +* Asterisk item at level 0 + - Dash item at level 1 + * Asterisk at level 2 + - Dash at level 3 + * Asterisk at level 4 + - Maximum reasonable depth +1. Numbered item + - Sub-bullet under numbered + - Another sub-bullet + 1. Nested numbered list + 2. Second nested number + +--- + +## Appendix: Diagrams + +### Architecture + +\`\`\`mermaid +flowchart LR + subgraph Client["Client Browser"] + UI[React UI] --> OT[OT Engine] + OT <--> WS[WebSocket Client] + end + + subgraph Server["Backend"] + WSS[WebSocket Server] <--> OTS[OT Transform] + OTS <--> DB[(PostgreSQL)] + end + + WS <--> WSS +\`\`\` + +### Service Dependencies (Graphviz) + +\`\`\`graphviz +digraph CollaborationStack { + rankdir=LR; + node [shape=box, style="rounded"]; + + Browser [label="Client Browser"]; + API [label="WebSocket API"]; + OT [label="OT Engine"]; + Redis [label="Presence Cache"]; + Postgres [label="PostgreSQL"]; + + Browser -> API; + API -> OT; + OT -> Redis; + OT -> Postgres; +} +\`\`\` + +--- + +## Phase 4: File Changes + +### Modified files + +The core connection logic lives in \`packages/ui/components/InlineMarkdown.tsx\` which handles rendering inline tokens. The detection utility is in \`packages/shared/code-file.ts\` and the popout viewer is wired through \`packages/ui/hooks/useCodeFilePopout.ts\`. + +On the server side, update packages/server/index.ts to register the new WebSocket routes and packages/server/reference-handlers.ts for the file resolution endpoint. 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Us("",Vo.range(n,a))}consumeSpaces(){for(;;){var e=this.future();if(e.text===" ")this.stack.pop();else break}}consumeArg(e){var n=[],a=e&&e.length>0;a||this.consumeSpaces();var r=this.future(),i,A=0,o=0;do{if(i=this.popToken(),n.push(i),i.text==="{")++A;else if(i.text==="}"){if(--A,A===-1)throw new tn("Extra }",i)}else if(i.text==="EOF")throw new tn("Unexpected end of input in a macro argument, expected '"+(e&&a?e[o]:"}")+"'",i);if(e&&a)if((A===0||A===1&&e[o]==="{")&&i.text===e[o]){if(++o,o===e.length){n.splice(-o,o);break}}else o=0}while(A!==0||a);return r.text==="{"&&n[n.length-1].text==="}"&&(n.pop(),n.shift()),n.reverse(),{tokens:n,start:r,end:i}}consumeArgs(e,n){if(n){if(n.length!==e+1)throw new tn("The length of delimiters doesn't match the number of args!");for(var a=n[0],r=0;rthis.settings.maxExpand)throw new tn("Too many expansions: infinite loop or need to increase maxExpand setting")}expandOnce(e){var n=this.popToken(),a=n.text,r=n.noexpand?null:this._getExpansion(a);if(r==null||e&&r.unexpandable){if(e&&r==null&&a[0]==="\\"&&!this.isDefined(a))throw new tn("Undefined control sequence: "+a);return this.pushToken(n),!1}this.countExpansion(1);var i=r.tokens,A=this.consumeArgs(r.numArgs,r.delimiters);if(r.numArgs){i=i.slice();for(var o=i.length-1;o>=0;--o){var s=i[o];if(s.text==="#"){if(o===0)throw new tn("Incomplete placeholder at end of macro body",s);if(s=i[--o],s.text==="#")i.splice(o+1,1);else if(/^[1-9]$/.test(s.text))i.splice(o,2,...A[+s.text-1]);else throw new tn("Not a valid argument number",s)}}}return this.pushTokens(i),i.length}expandAfterFuture(){return this.expandOnce(),this.future()}expandNextToken(){for(;;)if(this.expandOnce()===!1){var e=this.stack.pop();return e.treatAsRelax&&(e.text="\\relax"),e}throw new Error}expandMacro(e){return this.macros.has(e)?this.expandTokens([new Us(e)]):void 0}expandTokens(e){var n=[],a=this.stack.length;for(this.pushTokens(e);this.stack.length>a;)if(this.expandOnce(!0)===!1){var r=this.stack.pop();r.treatAsRelax&&(r.noexpand=!1,r.treatAsRelax=!1),n.push(r)}return this.countExpansion(n.length),n}expandMacroAsText(e){var n=this.expandMacro(e);return n&&n.map(a=>a.text).join("")}_getExpansion(e){var n=this.macros.get(e);if(n==null)return n;if(e.length===1){var a=this.lexer.catcodes[e];if(a!=null&&a!==13)return}var r=typeof n=="function"?n(this):n;if(typeof r=="string"){var i=0;if(r.indexOf("#")!==-1)for(var A=r.replace(/##/g,"");A.indexOf("#"+(i+1))!==-1;)++i;for(var o=new sAe(r,this.settings),s=[],l=o.lex();l.text!=="EOF";)s.push(l),l=o.lex();s.reverse();var d={tokens:s,numArgs:i};return d}return r}isDefined(e){return this.macros.has(e)||lp.hasOwnProperty(e)||Gr.math.hasOwnProperty(e)||Gr.text.hasOwnProperty(e)||D0e.hasOwnProperty(e)}isExpandable(e){var n=this.macros.get(e);return n!=null?typeof n=="string"||typeof n=="function"||!n.unexpandable:lp.hasOwnProperty(e)&&!lp[e].primitive}}var dAe=/^[₊₋₌₍₎₀₁₂₃₄₅₆₇₈₉ₐₑₕᵢⱼₖₗₘₙₒₚᵣₛₜᵤᵥₓᵦᵧᵨᵩᵪ]/,oD=Object.freeze({"₊":"+","₋":"-","₌":"=","₍":"(","₎":")","₀":"0","₁":"1","₂":"2","₃":"3","₄":"4","₅":"5","₆":"6","₇":"7","₈":"8","₉":"9","ₐ":"a","ₑ":"e","ₕ":"h","ᵢ":"i","ⱼ":"j","ₖ":"k","ₗ":"l","ₘ":"m","ₙ":"n","ₒ":"o","ₚ":"p","ᵣ":"r","ₛ":"s","ₜ":"t","ᵤ":"u","ᵥ":"v","ₓ":"x","ᵦ":"β","ᵧ":"γ","ᵨ":"ρ","ᵩ":"ϕ","ᵪ":"χ","⁺":"+","⁻":"-","⁼":"=","⁽":"(","⁾":")","⁰":"0","¹":"1","²":"2","³":"3","⁴":"4","⁵":"5","⁶":"6","⁷":"7","⁸":"8","⁹":"9","ᴬ":"A","ᴮ":"B","ᴰ":"D","ᴱ":"E","ᴳ":"G","ᴴ":"H","ᴵ":"I","ᴶ":"J","ᴷ":"K","ᴸ":"L","ᴹ":"M","ᴺ":"N","ᴼ":"O","ᴾ":"P","ᴿ":"R","ᵀ":"T","ᵁ":"U","ⱽ":"V","ᵂ":"W","ᵃ":"a","ᵇ":"b","ᶜ":"c","ᵈ":"d","ᵉ":"e","ᶠ":"f","ᵍ":"g",ʰ:"h","ⁱ":"i",ʲ:"j","ᵏ":"k",ˡ:"l","ᵐ":"m",ⁿ:"n","ᵒ":"o","ᵖ":"p",ʳ:"r",ˢ:"s","ᵗ":"t","ᵘ":"u","ᵛ":"v",ʷ:"w",ˣ:"x",ʸ:"y","ᶻ":"z","ᵝ":"β","ᵞ":"γ","ᵟ":"δ","ᵠ":"ϕ","ᵡ":"χ","ᶿ":"θ"}),P8={"́":{text:"\\'",math:"\\acute"},"̀":{text:"\\`",math:"\\grave"},"̈":{text:'\\"',math:"\\ddot"},"̃":{text:"\\~",math:"\\tilde"},"̄":{text:"\\=",math:"\\bar"},"̆":{text:"\\u",math:"\\breve"},"̌":{text:"\\v",math:"\\check"},"̂":{text:"\\^",math:"\\hat"},"̇":{text:"\\.",math:"\\dot"},"̊":{text:"\\r",math:"\\mathring"},"̋":{text:"\\H"},"̧":{text:"\\c"}},uAe={á:"á",à:"à",ä:"ä",ǟ:"ǟ",ã:"ã",ā:"ā",ă:"ă",ắ:"ắ",ằ:"ằ",ẵ:"ẵ",ǎ:"ǎ",â:"â",ấ:"ấ",ầ:"ầ",ẫ:"ẫ",ȧ:"ȧ",ǡ:"ǡ",å:"å",ǻ:"ǻ",ḃ:"ḃ",ć:"ć",ḉ:"ḉ",č:"č",ĉ:"ĉ",ċ:"ċ",ç:"ç",ď:"ď",ḋ:"ḋ",ḑ:"ḑ",é:"é",è:"è",ë:"ë",ẽ:"ẽ",ē:"ē",ḗ:"ḗ",ḕ:"ḕ",ĕ:"ĕ",ḝ:"ḝ",ě:"ě",ê:"ê",ế:"ế",ề:"ề",ễ:"ễ",ė:"ė",ȩ:"ȩ",ḟ:"ḟ",ǵ:"ǵ",ḡ:"ḡ",ğ:"ğ",ǧ:"ǧ",ĝ:"ĝ",ġ:"ġ",ģ:"ģ",ḧ:"ḧ",ȟ:"ȟ",ĥ:"ĥ",ḣ:"ḣ",ḩ:"ḩ",í:"í",ì:"ì",ï:"ï",ḯ:"ḯ",ĩ:"ĩ",ī:"ī",ĭ:"ĭ",ǐ:"ǐ",î:"î",ǰ:"ǰ",ĵ:"ĵ",ḱ:"ḱ",ǩ:"ǩ",ķ:"ķ",ĺ:"ĺ",ľ:"ľ",ļ:"ļ",ḿ:"ḿ",ṁ:"ṁ",ń:"ń",ǹ:"ǹ",ñ:"ñ",ň:"ň",ṅ:"ṅ",ņ:"ņ",ó:"ó",ò:"ò",ö:"ö",ȫ:"ȫ",õ:"õ",ṍ:"ṍ",ṏ:"ṏ",ȭ:"ȭ",ō:"ō",ṓ:"ṓ",ṑ:"ṑ",ŏ:"ŏ",ǒ:"ǒ",ô:"ô",ố:"ố",ồ:"ồ",ỗ:"ỗ",ȯ:"ȯ",ȱ:"ȱ",ő:"ő",ṕ:"ṕ",ṗ:"ṗ",ŕ:"ŕ",ř:"ř",ṙ:"ṙ",ŗ:"ŗ",ś:"ś",ṥ:"ṥ",š:"š",ṧ:"ṧ",ŝ:"ŝ",ṡ:"ṡ",ş:"ş",ẗ:"ẗ",ť:"ť",ṫ:"ṫ",ţ:"ţ",ú:"ú",ù:"ù",ü:"ü",ǘ:"ǘ",ǜ:"ǜ",ǖ:"ǖ",ǚ:"ǚ",ũ:"ũ",ṹ:"ṹ",ū:"ū",ṻ:"ṻ",ŭ:"ŭ",ǔ:"ǔ",û:"û",ů:"ů",ű:"ű",ṽ:"ṽ",ẃ:"ẃ",ẁ:"ẁ",ẅ:"ẅ",ŵ:"ŵ",ẇ:"ẇ",ẘ:"ẘ",ẍ:"ẍ",ẋ:"ẋ",ý:"ý",ỳ:"ỳ",ÿ:"ÿ",ỹ:"ỹ",ȳ:"ȳ",ŷ:"ŷ",ẏ:"ẏ",ẙ:"ẙ",ź:"ź",ž:"ž",ẑ:"ẑ",ż:"ż",Á:"Á",À:"À",Ä:"Ä",Ǟ:"Ǟ",Ã:"Ã",Ā:"Ā",Ă:"Ă",Ắ:"Ắ",Ằ:"Ằ",Ẵ:"Ẵ",Ǎ:"Ǎ",Â:"Â",Ấ:"Ấ",Ầ:"Ầ",Ẫ:"Ẫ",Ȧ:"Ȧ",Ǡ:"Ǡ",Å:"Å",Ǻ:"Ǻ",Ḃ:"Ḃ",Ć:"Ć",Ḉ:"Ḉ",Č:"Č",Ĉ:"Ĉ",Ċ:"Ċ",Ç:"Ç",Ď:"Ď",Ḋ:"Ḋ",Ḑ:"Ḑ",É:"É",È:"È",Ë:"Ë",Ẽ:"Ẽ",Ē:"Ē",Ḗ:"Ḗ",Ḕ:"Ḕ",Ĕ:"Ĕ",Ḝ:"Ḝ",Ě:"Ě",Ê:"Ê",Ế:"Ế",Ề:"Ề",Ễ:"Ễ",Ė:"Ė",Ȩ:"Ȩ",Ḟ:"Ḟ",Ǵ:"Ǵ",Ḡ:"Ḡ",Ğ:"Ğ",Ǧ:"Ǧ",Ĝ:"Ĝ",Ġ:"Ġ",Ģ:"Ģ",Ḧ:"Ḧ",Ȟ:"Ȟ",Ĥ:"Ĥ",Ḣ:"Ḣ",Ḩ:"Ḩ",Í:"Í",Ì:"Ì",Ï:"Ï",Ḯ:"Ḯ",Ĩ:"Ĩ",Ī:"Ī",Ĭ:"Ĭ",Ǐ:"Ǐ",Î:"Î",İ:"İ",Ĵ:"Ĵ",Ḱ:"Ḱ",Ǩ:"Ǩ",Ķ:"Ķ",Ĺ:"Ĺ",Ľ:"Ľ",Ļ:"Ļ",Ḿ:"Ḿ",Ṁ:"Ṁ",Ń:"Ń",Ǹ:"Ǹ",Ñ:"Ñ",Ň:"Ň",Ṅ:"Ṅ",Ņ:"Ņ",Ó:"Ó",Ò:"Ò",Ö:"Ö",Ȫ:"Ȫ",Õ:"Õ",Ṍ:"Ṍ",Ṏ:"Ṏ",Ȭ:"Ȭ",Ō:"Ō",Ṓ:"Ṓ",Ṑ:"Ṑ",Ŏ:"Ŏ",Ǒ:"Ǒ",Ô:"Ô",Ố:"Ố",Ồ:"Ồ",Ỗ:"Ỗ",Ȯ:"Ȯ",Ȱ:"Ȱ",Ő:"Ő",Ṕ:"Ṕ",Ṗ:"Ṗ",Ŕ:"Ŕ",Ř:"Ř",Ṙ:"Ṙ",Ŗ:"Ŗ",Ś:"Ś",Ṥ:"Ṥ",Š:"Š",Ṧ:"Ṧ",Ŝ:"Ŝ",Ṡ:"Ṡ",Ş:"Ş",Ť:"Ť",Ṫ:"Ṫ",Ţ:"Ţ",Ú:"Ú",Ù:"Ù",Ü:"Ü",Ǘ:"Ǘ",Ǜ:"Ǜ",Ǖ:"Ǖ",Ǚ:"Ǚ",Ũ:"Ũ",Ṹ:"Ṹ",Ū:"Ū",Ṻ:"Ṻ",Ŭ:"Ŭ",Ǔ:"Ǔ",Û:"Û",Ů:"Ů",Ű:"Ű",Ṽ:"Ṽ",Ẃ:"Ẃ",Ẁ:"Ẁ",Ẅ:"Ẅ",Ŵ:"Ŵ",Ẇ:"Ẇ",Ẍ:"Ẍ",Ẋ:"Ẋ",Ý:"Ý",Ỳ:"Ỳ",Ÿ:"Ÿ",Ỹ:"Ỹ",Ȳ:"Ȳ",Ŷ:"Ŷ",Ẏ:"Ẏ",Ź:"Ź",Ž:"Ž",Ẑ:"Ẑ",Ż:"Ż",ά:"ά",ὰ:"ὰ",ᾱ:"ᾱ",ᾰ:"ᾰ",έ:"έ",ὲ:"ὲ",ή:"ή",ὴ:"ὴ",ί:"ί",ὶ:"ὶ",ϊ:"ϊ",ΐ:"ΐ",ῒ:"ῒ",ῑ:"ῑ",ῐ:"ῐ",ό:"ό",ὸ:"ὸ",ύ:"ύ",ὺ:"ὺ",ϋ:"ϋ",ΰ:"ΰ",ῢ:"ῢ",ῡ:"ῡ",ῠ:"ῠ",ώ:"ώ",ὼ:"ὼ",Ύ:"Ύ",Ὺ:"Ὺ",Ϋ:"Ϋ",Ῡ:"Ῡ",Ῠ:"Ῠ",Ώ:"Ώ",Ὼ:"Ὼ"};let x0e=class S0e{constructor(e,n){this.mode=void 0,this.gullet=void 0,this.settings=void 0,this.leftrightDepth=void 0,this.nextToken=void 0,this.mode="math",this.gullet=new imt(e,n,this.mode),this.settings=n,this.leftrightDepth=0}expect(e,n){if(n===void 0&&(n=!0),this.fetch().text!==e)throw new tn("Expected '"+e+"', got '"+this.fetch().text+"'",this.fetch());n&&this.consume()}consume(){this.nextToken=null}fetch(){return this.nextToken==null&&(this.nextToken=this.gullet.expandNextToken()),this.nextToken}switchMode(e){this.mode=e,this.gullet.switchMode(e)}parse(){this.settings.globalGroup||this.gullet.beginGroup(),this.settings.colorIsTextColor&&this.gullet.macros.set("\\color","\\textcolor");try{var e=this.parseExpression(!1);return this.expect("EOF"),this.settings.globalGroup||this.gullet.endGroup(),e}finally{this.gullet.endGroups()}}subparse(e){var n=this.nextToken;this.consume(),this.gullet.pushToken(new Us("}")),this.gullet.pushTokens(e);var a=this.parseExpression(!1);return this.expect("}"),this.nextToken=n,a}parseExpression(e,n){for(var a=[];;){this.mode==="math"&&this.consumeSpaces();var r=this.fetch();if(S0e.endOfExpression.indexOf(r.text)!==-1||n&&r.text===n||e&&lp[r.text]&&lp[r.text].infix)break;var i=this.parseAtom(n);if(i){if(i.type==="internal")continue}else break;a.push(i)}return this.mode==="text"&&this.formLigatures(a),this.handleInfixNodes(a)}handleInfixNodes(e){for(var n=-1,a,r=0;r=0&&this.settings.reportNonstrict("unicodeTextInMathMode",'Latin-1/Unicode text character "'+n[0]+'" used in math mode',e);var o=Gr[this.mode][n].group,s=Vo.range(e),l;if(zgt.hasOwnProperty(o)){var d=o;l={type:"atom",mode:this.mode,family:d,loc:s,text:n}}else l={type:o,mode:this.mode,loc:s,text:n};A=l}else if(n.charCodeAt(0)>=128)this.settings.strict&&(Lwe(n.charCodeAt(0))?this.mode==="math"&&this.settings.reportNonstrict("unicodeTextInMathMode",'Unicode text character "'+n[0]+'" used in math mode',e):this.settings.reportNonstrict("unknownSymbol",'Unrecognized Unicode character "'+n[0]+'"'+(" ("+n.charCodeAt(0)+")"),e)),A={type:"textord",mode:"text",loc:Vo.range(e),text:n};else return null;if(this.consume(),i)for(var u=0;u-1}function Ms(t){return Xp(t)?pbe(t):YEe(t)}var wmt=/\.|\[(?:[^[\]]*|(["'])(?:(?!\1)[^\\]|\\.)*?\1)\]/,kmt=/^\w*$/;function _Y(t,e){if(qi(t))return!1;var n=typeof t;return n=="number"||n=="symbol"||n=="boolean"||t==null||Jh(t)?!0:kmt.test(t)||!wmt.test(t)||e!=null&&t in Object(e)}var vmt=500;function Dmt(t){var e=GE(t,function(a){return n.size===vmt&&n.clear(),a}),n=e.cache;return e}var xmt=/[^.[\]]+|\[(?:(-?\d+(?:\.\d+)?)|(["'])((?:(?!\2)[^\\]|\\.)*?)\2)\]|(?=(?:\.|\[\])(?:\.|\[\]|$))/g,Smt=/\\(\\)?/g,_mt=Dmt(function(t){var e=[];return t.charCodeAt(0)===46&&e.push(""),t.replace(xmt,function(n,a,r,i){e.push(r?i.replace(Smt,"$1"):a||n)}),e});function U0e(t){return t==null?"":T0e(t)}function TR(t,e){return qi(t)?t:_Y(t,e)?[t]:_mt(U0e(t))}function i0(t){if(typeof t=="string"||Jh(t))return t;var e=t+"";return 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r=arguments.length===1?H8(this._isDirected,arguments[0]):uy(this._isDirected,e,n,a);return Object.prototype.hasOwnProperty.call(this._edgeLabels,r)}removeEdge(e,n,a){var r=arguments.length===1?H8(this._isDirected,arguments[0]):uy(this._isDirected,e,n,a),i=this._edgeObjs[r];return i&&(e=i.v,n=i.w,delete this._edgeLabels[r],delete this._edgeObjs[r],xAe(this._preds[n],e),xAe(this._sucs[e],n),delete this._in[n][r],delete this._out[e][r],this._edgeCount--),this}inEdges(e,n){var a=this._in[e];if(a){var r=Ku(a);return n?gd(r,function(i){return i.v===n}):r}}outEdges(e,n){var a=this._out[e];if(a){var r=Ku(a);return n?gd(r,function(i){return i.w===n}):r}}nodeEdges(e,n){var a=this.inEdges(e,n);if(a)return a.concat(this.outEdges(e,n))}}fs.prototype._nodeCount=0;fs.prototype._edgeCount=0;function DAe(t,e){t[e]?t[e]++:t[e]=1}function xAe(t,e){--t[e]||delete t[e]}function uy(t,e,n,a){var r=""+e,i=""+n;if(!t&&r>i){var A=r;r=i,i=A}return r+vAe+i+vAe+(Ri(a)?Ebt:a)}function Ibt(t,e,n,a){var r=""+e,i=""+n;if(!t&&r>i){var A=r;r=i,i=A}var o={v:r,w:i};return a&&(o.name=a),o}function H8(t,e){return uy(t,e.v,e.w,e.name)}class Bbt{constructor(){var e={};e._next=e._prev=e,this._sentinel=e}dequeue(){var e=this._sentinel,n=e._prev;if(n!==e)return SAe(n),n}enqueue(e){var n=this._sentinel;e._prev&&e._next&&SAe(e),e._next=n._next,n._next._prev=e,n._next=e,e._prev=n}toString(){for(var e=[],n=this._sentinel,a=n._prev;a!==n;)e.push(JSON.stringify(a,ybt)),a=a._prev;return"["+e.join(", ")+"]"}}function SAe(t){t._prev._next=t._next,t._next._prev=t._prev,delete t._next,delete t._prev}function ybt(t,e){if(t!=="_next"&&t!=="_prev")return e}var Qbt=iC(1);function wbt(t,e){if(t.nodeCount()<=1)return[];var n=vbt(t,e||Qbt),a=kbt(n.graph,n.buckets,n.zeroIdx);return wf(Er(a,function(r){return t.outEdges(r.v,r.w)}))}function kbt(t,e,n){for(var a=[],r=e[e.length-1],i=e[0],A;t.nodeCount();){for(;A=i.dequeue();)Y8(t,e,n,A);for(;A=r.dequeue();)Y8(t,e,n,A);if(t.nodeCount()){for(var o=e.length-2;o>0;--o)if(A=e[o].dequeue(),A){a=a.concat(Y8(t,e,n,A,!0));break}}}return a}function Y8(t,e,n,a,r){var i=r?[]:void 0;return Ut(t.inEdges(a.v),function(A){var o=t.edge(A),s=t.node(A.v);r&&i.push({v:A.v,w:A.w}),s.out-=o,KP(e,n,s)}),Ut(t.outEdges(a.v),function(A){var o=t.edge(A),s=A.w,l=t.node(s);l.in-=o,KP(e,n,l)}),t.removeNode(a.v),i}function vbt(t,e){var n=new fs,a=0,r=0;Ut(t.nodes(),function(o){n.setNode(o,{v:o,in:0,out:0})}),Ut(t.edges(),function(o){var s=n.edge(o.v,o.w)||0,l=e(o),d=s+l;n.setEdge(o.v,o.w,d),r=Math.max(r,n.node(o.v).out+=l),a=Math.max(a,n.node(o.w).in+=l)});var i=hE(r+a+3).map(function(){return new Bbt}),A=a+1;return Ut(n.nodes(),function(o){KP(i,A,n.node(o))}),{graph:n,buckets:i,zeroIdx:A}}function KP(t,e,n){n.out?n.in?t[n.out-n.in+e].enqueue(n):t[t.length-1].enqueue(n):t[0].enqueue(n)}function Dbt(t){var e=t.graph().acyclicer==="greedy"?wbt(t,n(t)):xbt(t);Ut(e,function(a){var r=t.edge(a);t.removeEdge(a),r.forwardName=a.name,r.reversed=!0,t.setEdge(a.w,a.v,r,PY("rev"))});function n(a){return function(r){return a.edge(r).weight}}}function xbt(t){var e=[],n={},a={};function r(i){Object.prototype.hasOwnProperty.call(a,i)||(a[i]=!0,n[i]=!0,Ut(t.outEdges(i),function(A){Object.prototype.hasOwnProperty.call(n,A.w)?e.push(A):r(A.w)}),delete n[i])}return Ut(t.nodes(),r),e}function Sbt(t){Ut(t.edges(),function(e){var n=t.edge(e);if(n.reversed){t.removeEdge(e);var a=n.forwardName;delete n.reversed,delete n.forwardName,t.setEdge(e.w,e.v,n,a)}})}function $E(t,e,n,a){var r;do r=PY(a);while(t.hasNode(r));return n.dummy=e,t.setNode(r,n),r}function _bt(t){var e=new fs().setGraph(t.graph());return Ut(t.nodes(),function(n){e.setNode(n,t.node(n))}),Ut(t.edges(),function(n){var a=e.edge(n.v,n.w)||{weight:0,minlen:1},r=t.edge(n);e.setEdge(n.v,n.w,{weight:a.weight+r.weight,minlen:Math.max(a.minlen,r.minlen)})}),e}function Ake(t){var e=new fs({multigraph:t.isMultigraph()}).setGraph(t.graph());return Ut(t.nodes(),function(n){t.children(n).length||e.setNode(n,t.node(n))}),Ut(t.edges(),function(n){e.setEdge(n,t.edge(n))}),e}function _Ae(t,e){var n=t.x,a=t.y,r=e.x-n,i=e.y-a,A=t.width/2,o=t.height/2;if(!r&&!i)throw new Error("Not possible to find intersection inside of the rectangle");var s,l;return Math.abs(i)*A>Math.abs(r)*o?(i<0&&(o=-o),s=o*r/i,l=o):(r<0&&(A=-A),s=A,l=A*i/r),{x:n+s,y:a+l}}function KR(t){var e=Er(hE(oke(t)+1),function(){return[]});return Ut(t.nodes(),function(n){var a=t.node(n),r=a.rank;Ri(r)||(e[r][a.order]=n)}),e}function Rbt(t){var e=mE(Er(t.nodes(),function(n){return t.node(n).rank}));Ut(t.nodes(),function(n){var a=t.node(n);ake(a,"rank")&&(a.rank-=e)})}function Nbt(t){var e=mE(Er(t.nodes(),function(i){return t.node(i).rank})),n=[];Ut(t.nodes(),function(i){var A=t.node(i).rank-e;n[A]||(n[A]=[]),n[A].push(i)});var a=0,r=t.graph().nodeRankFactor;Ut(n,function(i,A){Ri(i)&&A%r!==0?--a:a&&Ut(i,function(o){t.node(o).rank+=a})})}function RAe(t,e,n,a){var r={width:0,height:0};return arguments.length>=4&&(r.rank=n,r.order=a),$E(t,"border",r,e)}function oke(t){return Wh(Er(t.nodes(),function(e){var n=t.node(e).rank;if(!Ri(n))return n}))}function Mbt(t,e){var n={lhs:[],rhs:[]};return Ut(t,function(a){e(a)?n.lhs.push(a):n.rhs.push(a)}),n}function Fbt(t,e){return e()}function Lbt(t){function e(n){var a=t.children(n),r=t.node(n);if(a.length&&Ut(a,e),Object.prototype.hasOwnProperty.call(r,"minRank")){r.borderLeft=[],r.borderRight=[];for(var i=r.minRank,A=r.maxRank+1;iA.lim&&(o=A,s=!0);var l=gd(e.edges(),function(d){return s===FAe(t,t.node(d.v),o)&&s!==FAe(t,t.node(d.w),o)});return UY(l,function(d){return cw(e,d)})}function hke(t,e,n,a){var r=n.v,i=n.w;t.removeEdge(r,i),t.setEdge(a.v,a.w,{}),YY(t),HY(t,e),Vbt(t,e)}function Vbt(t,e){var n=GY(t.nodes(),function(r){return!e.node(r).parent}),a=Wbt(t,n);a=a.slice(1),Ut(a,function(r){var i=t.node(r).parent,A=e.edge(r,i),o=!1;A||(A=e.edge(i,r),o=!0),e.node(r).rank=e.node(i).rank+(o?A.minlen:-A.minlen)})}function Xbt(t,e,n){return t.hasEdge(e,n)}function FAe(t,e,n){return n.low<=e.lim&&e.lim<=n.lim}function $bt(t){switch(t.graph().ranker){case"network-simplex":LAe(t);break;case"tight-tree":tCt(t);break;case"longest-path":eCt(t);break;default:LAe(t)}}var eCt=KY;function tCt(t){KY(t),cke(t)}function LAe(t){kf(t)}function nCt(t){var e=$E(t,"root",{},"_root"),n=aCt(t),a=Wh(Ku(n))-1,r=2*a+1;t.graph().nestingRoot=e,Ut(t.edges(),function(A){t.edge(A).minlen*=r});var i=rCt(t)+1;Ut(t.children(),function(A){fke(t,e,r,i,a,n,A)}),t.graph().nodeRankFactor=r}function fke(t,e,n,a,r,i,A){var o=t.children(A);if(!o.length){A!==e&&t.setEdge(e,A,{weight:0,minlen:n});return}var s=RAe(t,"_bt"),l=RAe(t,"_bb"),d=t.node(A);t.setParent(s,A),d.borderTop=s,t.setParent(l,A),d.borderBottom=l,Ut(o,function(u){fke(t,e,n,a,r,i,u);var g=t.node(u),p=g.borderTop?g.borderTop:u,m=g.borderBottom?g.borderBottom:u,f=g.borderTop?a:2*a,b=p!==m?1:r-i[A]+1;t.setEdge(s,p,{weight:f,minlen:b,nestingEdge:!0}),t.setEdge(m,l,{weight:f,minlen:b,nestingEdge:!0})}),t.parent(A)||t.setEdge(e,s,{weight:0,minlen:r+i[A]})}function aCt(t){var e={};function n(a,r){var i=t.children(a);i&&i.length&&Ut(i,function(A){n(A,r+1)}),e[a]=r}return Ut(t.children(),function(a){n(a,1)}),e}function rCt(t){return Zh(t.edges(),function(e,n){return e+t.edge(n).weight},0)}function iCt(t){var e=t.graph();t.removeNode(e.nestingRoot),delete e.nestingRoot,Ut(t.edges(),function(n){var a=t.edge(n);a.nestingEdge&&t.removeEdge(n)})}function ACt(t,e,n){var a={},r;Ut(n,function(i){for(var A=t.parent(i),o,s;A;){if(o=t.parent(A),o?(s=a[o],a[o]=A):(s=r,r=A),s&&s!==A){e.setEdge(s,A);return}A=o}})}function oCt(t,e,n){var a=sCt(t),r=new fs({compound:!0}).setGraph({root:a}).setDefaultNodeLabel(function(i){return t.node(i)});return Ut(t.nodes(),function(i){var A=t.node(i),o=t.parent(i);(A.rank===e||A.minRank<=e&&e<=A.maxRank)&&(r.setNode(i),r.setParent(i,o||a),Ut(t[n](i),function(s){var l=s.v===i?s.w:s.v,d=r.edge(l,i),u=Ri(d)?0:d.weight;r.setEdge(l,i,{weight:t.edge(s).weight+u})}),Object.prototype.hasOwnProperty.call(A,"minRank")&&r.setNode(i,{borderLeft:A.borderLeft[e],borderRight:A.borderRight[e]}))}),r}function sCt(t){for(var e;t.hasNode(e=PY("_root")););return e}function cCt(t,e){for(var n=0,a=1;a0;)d%2&&(u+=o[d+1]),d=d-1>>1,o[d]+=l.weight;s+=l.weight*u})),s}function dCt(t){var e={},n=gd(t.nodes(),function(o){return!t.children(o).length}),a=Wh(Er(n,function(o){return t.node(o).rank})),r=Er(hE(a+1),function(){return[]});function i(o){if(!ake(e,o)){e[o]=!0;var s=t.node(o);r[s.rank].push(o),Ut(t.successors(o),i)}}var A=A0(n,function(o){return t.node(o).rank});return Ut(A,i),r}function uCt(t,e){return 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n=t.node(e),a=t.node(n.borderTop),r=t.node(n.borderBottom),i=t.node(s_(n.borderLeft)),A=t.node(s_(n.borderRight));n.width=Math.abs(A.x-i.x),n.height=Math.abs(r.y-a.y),n.x=i.x+n.width/2,n.y=a.y+n.height/2}}),Ut(t.nodes(),function(e){t.node(e).dummy==="border"&&t.removeNode(e)})}function AEt(t){Ut(t.edges(),function(e){if(e.v===e.w){var n=t.node(e.v);n.selfEdges||(n.selfEdges=[]),n.selfEdges.push({e,label:t.edge(e)}),t.removeEdge(e)}})}function oEt(t){var e=KR(t);Ut(e,function(n){var a=0;Ut(n,function(r,i){var A=t.node(r);A.order=i+a,Ut(A.selfEdges,function(o){$E(t,"selfedge",{width:o.label.width,height:o.label.height,rank:A.rank,order:i+ ++a,e:o.e,label:o.label},"_se")}),delete A.selfEdges})})}function sEt(t){Ut(t.nodes(),function(e){var n=t.node(e);if(n.dummy==="selfedge"){var a=t.node(n.e.v),r=a.x+a.width/2,i=a.y,A=n.x-r,o=a.height/2;t.setEdge(n.e,n.label),t.removeNode(e),n.label.points=[{x:r+2*A/3,y:i-o},{x:r+5*A/6,y:i-o},{x:r+A,y:i},{x:r+5*A/6,y:i+o},{x:r+2*A/3,y:i+o}],n.label.x=n.x,n.label.y=n.y}})}function z8(t,e){return PR(c_(t,e),Number)}function J8(t){var e={};return Ut(t,function(n,a){e[a.toLowerCase()]=n}),e}function pd(t){var e={options:{directed:t.isDirected(),multigraph:t.isMultigraph(),compound:t.isCompound()},nodes:cEt(t),edges:lEt(t)};return Ri(t.graph())||(e.value=J0e(t.graph())),e}function cEt(t){return Er(t.nodes(),function(e){var n=t.node(e),a=t.parent(e),r={v:e};return Ri(n)||(r.value=n),Ri(a)||(r.parent=a),r})}function lEt(t){return Er(t.edges(),function(e){var n=t.edge(e),a={v:e.v,w:e.w};return Ri(e.name)||(a.name=e.name),Ri(n)||(a.value=n),a})}var Qa=new Map,wh=new Map,Ike=new Map,dEt=v(()=>{wh.clear(),Ike.clear(),Qa.clear()},"clear"),l_=v((t,e)=>{const n=wh.get(e)||[];return Be.trace("In isDescendant",e," ",t," = 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r},"findNonClusterChild"),UAe=v(t=>!Qa.has(t)||!Qa.get(t).externalConnections?t:Qa.has(t)?Qa.get(t).id:t,"getAnchorId"),pEt=v((t,e)=>{if(!t||e>10){Be.debug("Opting out, no graph ");return}else Be.debug("Opting in, graph ");t.nodes().forEach(function(n){t.children(n).length>0&&(Be.warn("Cluster identified",n," Replacement id in edges: ",lw(n,t,n)),wh.set(n,yke(n,t)),Qa.set(n,{id:lw(n,t,n),clusterData:t.node(n)}))}),t.nodes().forEach(function(n){const a=t.children(n),r=t.edges();a.length>0?(Be.debug("Cluster identified",n,wh),r.forEach(i=>{const A=l_(i.v,n),o=l_(i.w,n);A^o&&(Be.warn("Edge: ",i," leaves cluster ",n),Be.warn("Descendants of XXX ",n,": ",wh.get(n)),Qa.get(n).externalConnections=!0)})):Be.debug("Not a cluster ",n,wh)});for(let n of Qa.keys()){const a=Qa.get(n).id,r=t.parent(a);r!==n&&Qa.has(r)&&!Qa.get(r).externalConnections&&(Qa.get(n).id=r)}t.edges().forEach(function(n){const a=t.edge(n);Be.warn("Edge "+n.v+" -> "+n.w+": "+JSON.stringify(n)),Be.warn("Edge "+n.v+" -> 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e=this.width(),n=this.height();return{x1:0,y1:0,x2:e,y2:n,w:e,h:n}},multiClickDebounceTime:function(e){if(e)this._private.multiClickDebounceTime=e;else return this._private.multiClickDebounceTime;return this}};ef.centre=ef.center;ef.autolockNodes=ef.autolock;ef.autoungrabifyNodes=ef.autoungrabify;var bw={data:dr.data({field:"data",bindingEvent:"data",allowBinding:!0,allowSetting:!0,settingEvent:"data",settingTriggersEvent:!0,triggerFnName:"trigger",allowGetting:!0,updateStyle:!0}),removeData:dr.removeData({field:"data",event:"data",triggerFnName:"trigger",triggerEvent:!0,updateStyle:!0}),scratch:dr.data({field:"scratch",bindingEvent:"scratch",allowBinding:!0,allowSetting:!0,settingEvent:"scratch",settingTriggersEvent:!0,triggerFnName:"trigger",allowGetting:!0,updateStyle:!0}),removeScratch:dr.removeData({field:"scratch",event:"scratch",triggerFnName:"trigger",triggerEvent:!0,updateStyle:!0})};bw.attr=bw.data;bw.removeAttr=bw.removeData;var Cw=function(e){var n=this;e=Jn({},e);var a=e.container;a&&!u_(a)&&u_(a[0])&&(a=a[0]);var r=a?a._cyreg:null;r=r||{},r&&r.cy&&(r.cy.destroy(),r={});var i=r.readies=r.readies||[];a&&(a._cyreg=r),r.cy=n;var A=eA!==void 0&&a!==void 0&&!e.headless,o=e;o.layout=Jn({name:A?"grid":"null"},o.layout),o.renderer=Jn({name:A?"canvas":"null"},o.renderer);var s=function(m,f,b){return f!==void 0?f:b!==void 0?b:m},l=this._private={container:a,ready:!1,options:o,elements:new KA(this),listeners:[],aniEles:new KA(this),data:o.data||{},scratch:{},layout:null,renderer:null,destroyed:!1,notificationsEnabled:!0,minZoom:1e-50,maxZoom:1e50,zoomingEnabled:s(!0,o.zoomingEnabled),userZoomingEnabled:s(!0,o.userZoomingEnabled),panningEnabled:s(!0,o.panningEnabled),userPanningEnabled:s(!0,o.userPanningEnabled),boxSelectionEnabled:s(!0,o.boxSelectionEnabled),autolock:s(!1,o.autolock,o.autolockNodes),autoungrabify:s(!1,o.autoungrabify,o.autoungrabifyNodes),autounselectify:s(!1,o.autounselectify),styleEnabled:o.styleEnabled===void 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m=p[0],f=p[1];l.styleEnabled&&n.style().append(m),g(f,function(){n.startAnimationLoop(),l.ready=!0,ci(o.ready)&&n.on("ready",o.ready);for(var b=0;b0,o=!!t.boundingBox,s=Fo(o?t.boundingBox:structuredClone(e.extent())),l;if(Ps(t.roots))l=t.roots;else if(Sr(t.roots)){for(var d=[],u=0;u0;){var R=K(),G=S(R,M);if(G)R.outgoers().filter(function(Ze){return Ze.isNode()&&n.has(Ze)}).forEach(O);else if(G===null){gr("Detected double maximal shift for node `"+R.id()+"`. 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C=Math.cos(l)-Math.cos(0),I=Math.sin(l)-Math.sin(0),B=Math.sqrt(u*u/(C*C+I*I));d=Math.max(B,d)}var w=function(_,D){var x=e.startAngle+D*l*(r?1:-1),S=d*Math.cos(x),F=d*Math.sin(x),M={x:o.x+S,y:o.y+F};return M};return a.nodes().layoutPositions(this,e,w),this};var WQt={fit:!0,padding:30,startAngle:3/2*Math.PI,sweep:void 0,clockwise:!0,equidistant:!1,minNodeSpacing:10,boundingBox:void 0,avoidOverlap:!0,nodeDimensionsIncludeLabels:!1,height:void 0,width:void 0,spacingFactor:void 0,concentric:function(e){return e.degree()},levelWidth:function(e){return e.maxDegree()/4},animate:!1,animationDuration:500,animationEasing:void 0,animateFilter:function(e,n){return!0},ready:void 0,stop:void 0,transform:function(e,n){return n}};function Mve(t){this.options=Jn({},WQt,t)}Mve.prototype.run=function(){for(var t=this.options,e=t,n=e.counterclockwise!==void 0?!e.counterclockwise:e.clockwise,a=t.cy,r=e.eles,i=r.nodes().not(":parent"),A=Fo(e.boundingBox?e.boundingBox:{x1:0,y1:0,w:a.width(),h:a.height()}),o={x:A.x1+A.w/2,y:A.y1+A.h/2},s=[],l=0,d=0;d0){var k=Math.abs(I[0].value-w.value);k>=b&&(I=[],C.push(I))}I.push(w)}var _=l+e.minNodeSpacing;if(!e.avoidOverlap){var D=C.length>0&&C[0].length>1,x=Math.min(A.w,A.h)/2-_,S=x/(C.length+D?1:0);_=Math.min(_,S)}for(var F=0,M=0;M1&&e.avoidOverlap){var G=Math.cos(R)-Math.cos(0),T=Math.sin(R)-Math.sin(0),L=Math.sqrt(_*_/(G*G+T*T));F=Math.max(L,F)}O.r=F,F+=_}if(e.equidistant){for(var U=0,H=0,q=0;q=t.numIter||(nwt(a,t),a.temperature=a.temperature*t.coolingFactor,a.temperature=t.animationThreshold&&i(),g_(d)}};d()}else{for(;l;)l=A(s),s++;Hse(a,t),o()}return this};rN.prototype.stop=function(){return this.stopped=!0,this.thread&&this.thread.stop(),this.emit("layoutstop"),this};rN.prototype.destroy=function(){return this.thread&&this.thread.stop(),this};var VQt=function(e,n,a){for(var r=a.eles.edges(),i=a.eles.nodes(),A=Fo(a.boundingBox?a.boundingBox:{x1:0,y1:0,w:e.width(),h:e.height()}),o={isCompound:e.hasCompoundNodes(),layoutNodes:[],idToIndex:{},nodeSize:i.size(),graphSet:[],indexToGraph:[],layoutEdges:[],edgeSize:r.size(),temperature:a.initialTemp,clientWidth:A.w,clientHeight:A.h,boundingBox:A},s=a.eles.components(),l={},d=0;d0){o.graphSet.push(x);for(var d=0;dr.count?0:r.graph},Fve=function(e,n,a,r){var i=r.graphSet[a];if(-10)var u=r.nodeOverlap*d,g=Math.sqrt(o*o+s*s),p=u*o/g,m=u*s/g;else var f=E_(e,o,s),b=E_(n,-1*o,-1*s),C=b.x-f.x,I=b.y-f.y,B=C*C+I*I,g=Math.sqrt(B),u=(e.nodeRepulsion+n.nodeRepulsion)/B,p=u*C/g,m=u*I/g;e.isLocked||(e.offsetX-=p,e.offsetY-=m),n.isLocked||(n.offsetX+=p,n.offsetY+=m)}},iwt=function(e,n,a,r){if(a>0)var i=e.maxX-n.minX;else var i=n.maxX-e.minX;if(r>0)var A=e.maxY-n.minY;else var A=n.maxY-e.minY;return i>=0&&A>=0?Math.sqrt(i*i+A*A):0},E_=function(e,n,a){var r=e.positionX,i=e.positionY,A=e.height||1,o=e.width||1,s=a/n,l=A/o,d={};return n===0&&0a?(d.x=r,d.y=i+A/2,d):0n&&-1*l<=s&&s<=l?(d.x=r-o/2,d.y=i-o*a/2/n,d):0=l)?(d.x=r+A*n/2/a,d.y=i+A/2,d):(0>a&&(s<=-1*l||s>=l)&&(d.x=r-A*n/2/a,d.y=i-A/2),d)},Awt=function(e,n){for(var a=0;aa){var b=n.gravity*p/f,C=n.gravity*m/f;g.offsetX+=b,g.offsetY+=C}}}}},swt=function(e,n){var a=[],r=0,i=-1;for(a.push.apply(a,e.graphSet[0]),i+=e.graphSet[0].length;r<=i;){var A=a[r++],o=e.idToIndex[A],s=e.layoutNodes[o],l=s.children;if(0a)var i={x:a*e/r,y:a*n/r};else var i={x:e,y:n};return i},Tve=function(e,n){var a=e.parentId;if(a!=null){var r=n.layoutNodes[n.idToIndex[a]],i=!1;if((r.maxX==null||e.maxX+r.padRight>r.maxX)&&(r.maxX=e.maxX+r.padRight,i=!0),(r.minX==null||e.minX-r.padLeftr.maxY)&&(r.maxY=e.maxY+r.padBottom,i=!0),(r.minY==null||e.minY-r.padTopC&&(m+=b+n.componentSpacing,p=0,f=0,b=0)}}},dwt={fit:!0,padding:30,boundingBox:void 0,avoidOverlap:!0,avoidOverlapPadding:10,nodeDimensionsIncludeLabels:!1,spacingFactor:void 0,condense:!1,rows:void 0,cols:void 0,position:function(e){},sort:void 0,animate:!1,animationDuration:500,animationEasing:void 0,animateFilter:function(e,n){return!0},ready:void 0,stop:void 0,transform:function(e,n){return n}};function Gve(t){this.options=Jn({},dwt,t)}Gve.prototype.run=function(){var t=this.options,e=t,n=t.cy,a=e.eles,r=a.nodes().not(":parent");e.sort&&(r=r.sort(e.sort));var i=Fo(e.boundingBox?e.boundingBox:{x1:0,y1:0,w:n.width(),h:n.height()});if(i.h===0||i.w===0)a.nodes().layoutPositions(this,e,function(Z){return{x:i.x1,y:i.y1}});else{var A=r.size(),o=Math.sqrt(A*i.h/i.w),s=Math.round(o),l=Math.round(i.w/i.h*o),d=function($){if($==null)return Math.min(s,l);var X=Math.min(s,l);X==s?s=$:l=$},u=function($){if($==null)return Math.max(s,l);var X=Math.max(s,l);X==s?s=$:l=$},g=e.rows,p=e.cols!=null?e.cols:e.columns;if(g!=null&&p!=null)s=g,l=p;else if(g!=null&&p==null)s=g,l=Math.ceil(A/s);else if(g==null&&p!=null)l=p,s=Math.ceil(A/l);else if(l*s>A){var m=d(),f=u();(m-1)*f>=A?d(m-1):(f-1)*m>=A&&u(f-1)}else for(;l*s=A?u(C+1):d(b+1)}var I=i.w/l,B=i.h/s;if(e.condense&&(I=0,B=0),e.avoidOverlap)for(var w=0;w=l&&(G=0,R++)},L={},U=0;U(G=eBt(t,e,T[L],T[L+1],T[L+2],T[L+3])))return b(D,G),!0}else if(S.edgeType==="bezier"||S.edgeType==="multibezier"||S.edgeType==="self"||S.edgeType==="compound"){for(var T=S.allpts,L=0;L+5(G=$It(t,e,T[L],T[L+1],T[L+2],T[L+3],T[L+4],T[L+5])))return b(D,G),!0}for(var U=U||x.source,H=H||x.target,q=r.getArrowWidth(F,M),P=[{name:"source",x:S.arrowStartX,y:S.arrowStartY,angle:S.srcArrowAngle},{name:"target",x:S.arrowEndX,y:S.arrowEndY,angle:S.tgtArrowAngle},{name:"mid-source",x:S.midX,y:S.midY,angle:S.midsrcArrowAngle},{name:"mid-target",x:S.midX,y:S.midY,angle:S.midtgtArrowAngle}],L=0;L0&&(C(U),C(H))}function B(D,x,S){return ns(D,x,S)}function w(D,x){var S=D._private,F=g,M;x?M=x+"-":M="",D.boundingBox();var O=S.labelBounds[x||"main"],K=D.pstyle(M+"label").value,R=D.pstyle("text-events").strValue==="yes";if(!(!R||!K)){var G=B(S.rscratch,"labelX",x),T=B(S.rscratch,"labelY",x),L=B(S.rscratch,"labelAngle",x),U=D.pstyle(M+"text-margin-x").pfValue,H=D.pstyle(M+"text-margin-y").pfValue,q=O.x1-F-U,P=O.x2+F-U,j=O.y1-F-H,Z=O.y2+F-H;if(L){var $=Math.cos(L),X=Math.sin(L),ce=function(pe,le){return pe=pe-G,le=le-T,{x:pe*$-le*X+G,y:pe*X+le*$+T}},te=ce(q,j),he=ce(q,Z),ae=ce(P,j),se=ce(P,Z),oe=[te.x+U,te.y+H,ae.x+U,ae.y+H,se.x+U,se.y+H,he.x+U,he.y+H];if(as(t,e,oe))return b(D),!0}else if(up(O,t,e))return b(D),!0}}for(var k=A.length-1;k>=0;k--){var _=A[k];_.isNode()?C(_)||w(_):I(_)||w(_)||w(_,"source")||w(_,"target")}return o};vf.getAllInBox=function(t,e,n,a){var r=this.getCachedZSortedEles().interactive,i=this.cy.zoom(),A=2/i,o=[],s=Math.min(t,n),l=Math.max(t,n),d=Math.min(e,a),u=Math.max(e,a);t=s,n=l,e=d,a=u;var g=Fo({x1:t,y1:e,x2:n,y2:a}),p=[{x:g.x1,y:g.y1},{x:g.x2,y:g.y1},{x:g.x2,y:g.y2},{x:g.x1,y:g.y2}],m=[[p[0],p[1]],[p[1],p[2]],[p[2],p[3]],[p[3],p[0]]];function f(pe,le,ke){return ns(pe,le,ke)}function b(pe,le){var ke=pe._private,me=A,He="";pe.boundingBox();var ie=ke.labelBounds.main;if(!ie)return null;var Ze=f(ke.rscratch,"labelX",le),ve=f(ke.rscratch,"labelY",le),at=f(ke.rscratch,"labelAngle",le),rt=pe.pstyle(He+"text-margin-x").pfValue,ct=pe.pstyle(He+"text-margin-y").pfValue,Oe=ie.x1-me-rt,st=ie.x2+me-rt,qe=ie.y1-me-ct,ze=ie.y2+me-ct;if(at){var At=Math.cos(at),_e=Math.sin(at),et=function(De,V){return De=De-Ze,V=V-ve,{x:De*At-V*_e+Ze,y:De*_e+V*At+ve}};return[et(Oe,qe),et(st,qe),et(st,ze),et(Oe,ze)]}else return[{x:Oe,y:qe},{x:st,y:qe},{x:st,y:ze},{x:Oe,y:ze}]}function C(pe,le,ke,me){function He(ie,Ze,ve){return(ve.y-ie.y)*(Ze.x-ie.x)>(Ze.y-ie.y)*(ve.x-ie.x)}return He(pe,ke,me)!==He(le,ke,me)&&He(pe,le,ke)!==He(pe,le,me)}for(var I=0;I0?-(Math.PI-e.ang):Math.PI+e.ang},fwt=function(e,n,a,r,i){if(e!==Jse?Wse(n,e,td):hwt(gc,td),Wse(n,a,gc),jse=td.nx*gc.ny-td.ny*gc.nx,zse=td.nx*gc.nx-td.ny*-gc.ny,uu=Math.asin(Math.max(-1,Math.min(1,jse))),Math.abs(uu)<1e-6){e6=n.x,t6=n.y,Ah=Ob=0;return}gh=1,Jx=!1,zse<0?uu<0?uu=Math.PI+uu:(uu=Math.PI-uu,gh=-1,Jx=!0):uu>0&&(gh=-1,Jx=!0),n.radius!==void 0?Ob=n.radius:Ob=r,Vm=uu/2,CD=Math.min(td.len/2,gc.len/2),i?(ql=Math.abs(Math.cos(Vm)*Ob/Math.sin(Vm)),ql>CD?(ql=CD,Ah=Math.abs(ql*Math.sin(Vm)/Math.cos(Vm))):Ah=Ob):(ql=Math.min(CD,Ob),Ah=Math.abs(ql*Math.sin(Vm)/Math.cos(Vm))),n6=n.x+gc.nx*ql,a6=n.y+gc.ny*ql,e6=n6-gc.ny*Ah*gh,t6=a6+gc.nx*Ah*gh,Kve=n.x+td.nx*ql,Hve=n.y+td.ny*ql,Jse=n};function Yve(t,e){e.radius===0?t.lineTo(e.cx,e.cy):t.arc(e.cx,e.cy,e.radius,e.startAngle,e.endAngle,e.counterClockwise)}function uq(t,e,n,a){var r=arguments.length>4&&arguments[4]!==void 0?arguments[4]:!0;return a===0||e.radius===0?{cx:e.x,cy:e.y,radius:0,startX:e.x,startY:e.y,stopX:e.x,stopY:e.y,startAngle:void 0,endAngle:void 0,counterClockwise:void 0}:(fwt(t,e,n,a,r),{cx:e6,cy:t6,radius:Ah,startX:Kve,startY:Hve,stopX:n6,stopY:a6,startAngle:td.ang+Math.PI/2*gh,endAngle:gc.ang-Math.PI/2*gh,counterClockwise:Jx})}var Ew=.01,bwt=Math.sqrt(2*Ew),uo={};uo.findMidptPtsEtc=function(t,e){var n=e.posPts,a=e.intersectionPts,r=e.vectorNormInverse,i,A=t.pstyle("source-endpoint"),o=t.pstyle("target-endpoint"),s=A.units!=null&&o.units!=null,l=function(k,_,D,x){var S=x-_,F=D-k,M=Math.sqrt(F*F+S*S);return{x:-S/M,y:F/M}},d=t.pstyle("edge-distances").value;switch(d){case"node-position":i=n;break;case"intersection":i=a;break;case"endpoints":{if(s){var u=this.manualEndptToPx(t.source()[0],A),g=Ui(u,2),p=g[0],m=g[1],f=this.manualEndptToPx(t.target()[0],o),b=Ui(f,2),C=b[0],I=b[1],B={x1:p,y1:m,x2:C,y2:I};r=l(p,m,C,I),i=B}else gr("Edge ".concat(t.id()," has edge-distances:endpoints specified without manual endpoints 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Falling back on edge-distances:intersection (default).")),i=a;break}}return{midptPts:i,vectorNormInverse:r}};uo.findHaystackPoints=function(t){for(var e=0;e0?Math.max(V-ye,0):Math.min(V+ye,0)},K=O(F,x),R=O(M,S),G=!1;I===l?C=Math.abs(K)>Math.abs(R)?r:a:I===s||I===o?(C=a,G=!0):(I===i||I===A)&&(C=r,G=!0);var T=C===a,L=T?R:K,U=T?M:F,H=$Y(U),q=!1;!(G&&(w||_))&&(I===o&&U<0||I===s&&U>0||I===i&&U>0||I===A&&U<0)&&(H*=-1,L=H*Math.abs(L),q=!0);var P;if(w){var j=k<0?1+k:k;P=j*L}else{var Z=k<0?L:0;P=Z+k*H}var $=function(V){return Math.abs(V)=Math.abs(L)},X=$(P),ce=$(Math.abs(L)-Math.abs(P)),te=X||ce;if(te&&!q)if(T){var he=Math.abs(U)<=g/2,ae=Math.abs(F)<=p/2;if(he){var se=(d.x1+d.x2)/2,oe=d.y1,Ae=d.y2;n.segpts=[se,oe,se,Ae]}else if(ae){var pe=(d.y1+d.y2)/2,le=d.x1,ke=d.x2;n.segpts=[le,pe,ke,pe]}else n.segpts=[d.x1,d.y2]}else{var me=Math.abs(U)<=u/2,He=Math.abs(M)<=m/2;if(me){var ie=(d.y1+d.y2)/2,Ze=d.x1,ve=d.x2;n.segpts=[Ze,ie,ve,ie]}else if(He){var at=(d.x1+d.x2)/2,rt=d.y1,ct=d.y2;n.segpts=[at,rt,at,ct]}else n.segpts=[d.x2,d.y1]}else if(T){var Oe=d.y1+P+(b?g/2*H:0),st=d.x1,qe=d.x2;n.segpts=[st,Oe,qe,Oe]}else{var ze=d.x1+P+(b?u/2*H:0),At=d.y1,_e=d.y2;n.segpts=[ze,At,ze,_e]}if(n.isRound){var et=t.pstyle("taxi-radius").value,fe=t.pstyle("radius-type").value[0]==="arc-radius";n.radii=new Array(n.segpts.length/2).fill(et),n.isArcRadius=new Array(n.segpts.length/2).fill(fe)}};uo.tryToCorrectInvalidPoints=function(t,e){var n=t._private.rscratch;if(n.edgeType==="bezier"){var a=e.srcPos,r=e.tgtPos,i=e.srcW,A=e.srcH,o=e.tgtW,s=e.tgtH,l=e.srcShape,d=e.tgtShape,u=e.srcCornerRadius,g=e.tgtCornerRadius,p=e.srcRs,m=e.tgtRs,f=!dn(n.startX)||!dn(n.startY),b=!dn(n.arrowStartX)||!dn(n.arrowStartY),C=!dn(n.endX)||!dn(n.endY),I=!dn(n.arrowEndX)||!dn(n.arrowEndY),B=3,w=this.getArrowWidth(t.pstyle("width").pfValue,t.pstyle("arrow-scale").value)*this.arrowShapeWidth,k=B*w,_=Xh({x:n.ctrlpts[0],y:n.ctrlpts[1]},{x:n.startX,y:n.startY}),D=_U.poolIndex()){var H=L;L=U,U=H}var q=K.srcPos=L.position(),P=K.tgtPos=U.position(),j=K.srcW=L.outerWidth(),Z=K.srcH=L.outerHeight(),$=K.tgtW=U.outerWidth(),X=K.tgtH=U.outerHeight(),ce=K.srcShape=n.nodeShapes[e.getNodeShape(L)],te=K.tgtShape=n.nodeShapes[e.getNodeShape(U)],he=K.srcCornerRadius=L.pstyle("corner-radius").value==="auto"?"auto":L.pstyle("corner-radius").pfValue,ae=K.tgtCornerRadius=U.pstyle("corner-radius").value==="auto"?"auto":U.pstyle("corner-radius").pfValue,se=K.tgtRs=U._private.rscratch,oe=K.srcRs=L._private.rscratch;K.dirCounts={north:0,west:0,south:0,east:0,northwest:0,southwest:0,northeast:0,southeast:0};for(var Ae=0;Ae=bwt||(qe=Math.sqrt(Math.max(st*st,Ew)+Math.max(Oe*Oe,Ew)));var ze=K.vector={x:st,y:Oe},At=K.vectorNorm={x:ze.x/qe,y:ze.y/qe},_e={x:-At.y,y:At.x};K.nodesOverlap=!dn(qe)||te.checkPoint(ie[0],ie[1],0,$,X,P.x,P.y,ae,se)||ce.checkPoint(ve[0],ve[1],0,j,Z,q.x,q.y,he,oe),K.vectorNormInverse=_e,R={nodesOverlap:K.nodesOverlap,dirCounts:K.dirCounts,calculatedIntersection:!0,hasBezier:K.hasBezier,hasUnbundled:K.hasUnbundled,eles:K.eles,srcPos:P,srcRs:se,tgtPos:q,tgtRs:oe,srcW:$,srcH:X,tgtW:j,tgtH:Z,srcIntn:at,tgtIntn:Ze,srcShape:te,tgtShape:ce,posPts:{x1:ct.x2,y1:ct.y2,x2:ct.x1,y2:ct.y1},intersectionPts:{x1:rt.x2,y1:rt.y2,x2:rt.x1,y2:rt.y1},vector:{x:-ze.x,y:-ze.y},vectorNorm:{x:-At.x,y:-At.y},vectorNormInverse:{x:-_e.x,y:-_e.y}}}var et=He?R:K;le.nodesOverlap=et.nodesOverlap,le.srcIntn=et.srcIntn,le.tgtIntn=et.tgtIntn,le.isRound=ke.startsWith("round"),r&&(L.isParent()||L.isChild()||U.isParent()||U.isChild())&&(L.parents().anySame(U)||U.parents().anySame(L)||L.same(U)&&L.isParent())?e.findCompoundLoopPoints(pe,et,Ae,me):L===U?e.findLoopPoints(pe,et,Ae,me):ke.endsWith("segments")?e.findSegmentsPoints(pe,et):ke.endsWith("taxi")?e.findTaxiPoints(pe,et):ke==="straight"||!me&&K.eles.length%2===1&&Ae===Math.floor(K.eles.length/2)?e.findStraightEdgePoints(pe):e.findBezierPoints(pe,et,Ae,me,He),e.findEndpoints(pe),e.tryToCorrectInvalidPoints(pe,et),e.checkForInvalidEdgeWarning(pe),e.storeAllpts(pe),e.storeEdgeProjections(pe),e.calculateArrowAngles(pe),e.recalculateEdgeLabelProjections(pe),e.calculateLabelAngles(pe)}},D=0;D0){var ie=l,Ze=ih(ie,lC(A)),ve=ih(ie,lC(He)),at=Ze;if(ve2){var rt=ih(ie,{x:He[2],y:He[3]});rt0){var Ce=d,Ne=ih(Ce,lC(A)),Me=ih(Ce,lC(ye)),Ue=Ne;if(Me2){var Ee=ih(Ce,{x:ye[2],y:ye[3]});Ee=m||D){b={cp:w,segment:_};break}}if(b)break}var x=b.cp,S=b.segment,F=(m-C)/S.length,M=S.t1-S.t0,O=p?S.t0+M*F:S.t1-M*F;O=pw(0,O,1),e=NC(x.p0,x.p1,x.p2,O),g=Ewt(x.p0,x.p1,x.p2,O);break}case"straight":case"segments":case"haystack":{for(var K=0,R,G,T,L,U=a.allpts.length,H=0;H+3=m));H+=2);var q=m-G,P=q/R;P=pw(0,P,1),e=KIt(T,L,P),g=zve(T,L);break}}A("labelX",u,e.x),A("labelY",u,e.y),A("labelAutoAngle",u,g)}};l("source"),l("target"),this.applyLabelDimensions(t)}};Ld.applyLabelDimensions=function(t){this.applyPrefixedLabelDimensions(t),t.isEdge()&&(this.applyPrefixedLabelDimensions(t,"source"),this.applyPrefixedLabelDimensions(t,"target"))};Ld.applyPrefixedLabelDimensions=function(t,e){var n=t._private,a=this.getLabelText(t,e),r=Vh(a,t._private.labelDimsKey);if(ns(n.rscratch,"prefixedLabelDimsKey",e)!==r){yu(n.rscratch,"prefixedLabelDimsKey",e,r);var i=this.calculateLabelDimensions(t,a),A=t.pstyle("line-height").pfValue,o=t.pstyle("text-wrap").strValue,s=ns(n.rscratch,"labelWrapCachedLines",e)||[],l=o!=="wrap"?1:Math.max(s.length,1),d=i.height/l,u=d*A,g=i.width,p=i.height+(l-1)*(A-1)*d;yu(n.rstyle,"labelWidth",e,g),yu(n.rscratch,"labelWidth",e,g),yu(n.rstyle,"labelHeight",e,p),yu(n.rscratch,"labelHeight",e,p),yu(n.rscratch,"labelLineHeight",e,u)}};Ld.getLabelText=function(t,e){var n=t._private,a=e?e+"-":"",r=t.pstyle(a+"label").strValue,i=t.pstyle("text-transform").value,A=function(Z,$){return $?(yu(n.rscratch,Z,e,$),$):ns(n.rscratch,Z,e)};if(!r)return"";i=="none"||(i=="uppercase"?r=r.toUpperCase():i=="lowercase"&&(r=r.toLowerCase()));var o=t.pstyle("text-wrap").value;if(o==="wrap"){var s=A("labelKey");if(s!=null&&A("labelWrapKey")===s)return A("labelWrapCachedText");for(var l="​",d=r.split(` +`),u=t.pstyle("text-max-width").pfValue,g=t.pstyle("text-overflow-wrap").value,p=g==="anywhere",m=[],f=/[\s\u200b]+|$/g,b=0;bu){var k=C.matchAll(f),_="",D=0,x=cs(k),S;try{for(x.s();!(S=x.n()).done;){var F=S.value,M=F[0],O=C.substring(D,F.index);D=F.index+M.length;var K=_.length===0?O:_+O+M,R=this.calculateLabelDimensions(t,K),G=R.width;G<=u?_+=O+M:(_&&m.push(_),_=O+M)}}catch(j){x.e(j)}finally{x.f()}_.match(/^[\s\u200b]+$/)||m.push(_)}else m.push(C)}A("labelWrapCachedLines",m),r=A("labelWrapCachedText",m.join(` +`)),A("labelWrapKey",s)}else if(o==="ellipsis"){var T=t.pstyle("text-max-width").pfValue,L="",U="…",H=!1;if(this.calculateLabelDimensions(t,r).widthT)break;L+=r[q],q===r.length-1&&(H=!0)}return H||(L+=U),L}return r};Ld.getLabelJustification=function(t){var e=t.pstyle("text-justification").strValue,n=t.pstyle("text-halign").strValue;if(e==="auto")if(t.isNode())switch(n){case"left":return"right";case"right":return"left";default:return"center"}else return"center";else return e};Ld.calculateLabelDimensions=function(t,e){var n=this,a=n.cy.window(),r=a.document,i=0,A=t.pstyle("font-style").strValue,o=t.pstyle("font-size").pfValue,s=t.pstyle("font-family").strValue,l=t.pstyle("font-weight").strValue,d=this.labelCalcCanvas,u=this.labelCalcCanvasContext;if(!d){d=this.labelCalcCanvas=r.createElement("canvas"),u=this.labelCalcCanvasContext=d.getContext("2d");var g=d.style;g.position="absolute",g.left="-9999px",g.top="-9999px",g.zIndex="-1",g.visibility="hidden",g.pointerEvents="none"}u.font="".concat(A," ").concat(l," ").concat(o,"px ").concat(s);for(var p=0,m=0,f=e.split(` +`),b=0;b1&&arguments[1]!==void 0?arguments[1]:!0;if(e.merge(A),o)for(var s=0;s=t.desktopTapThreshold2}var St=i(V);Ft&&(t.hoverData.tapholdCancelled=!0);var Ot=function(){var Et=t.hoverData.dragDelta=t.hoverData.dragDelta||[];Et.length===0?(Et.push(Ge[0]),Et.push(Ge[1])):(Et[0]+=Ge[0],Et[1]+=Ge[1])};Ce=!0,r(ht,["mousemove","vmousemove","tapdrag"],V,{x:Ee[0],y:Ee[1]});var gt=function(Et){return{originalEvent:V,type:Et,position:{x:Ee[0],y:Ee[1]}}},ft=function(){t.data.bgActivePosistion=void 0,t.hoverData.selecting||Ne.emit(gt("boxstart")),nt[4]=1,t.hoverData.selecting=!0,t.redrawHint("select",!0),t.redraw()};if(t.hoverData.which===3){if(Ft){var Vt=gt("cxtdrag");Ye?Ye.emit(Vt):Ne.emit(Vt),t.hoverData.cxtDragged=!0,(!t.hoverData.cxtOver||ht!==t.hoverData.cxtOver)&&(t.hoverData.cxtOver&&t.hoverData.cxtOver.emit(gt("cxtdragout")),t.hoverData.cxtOver=ht,ht&&ht.emit(gt("cxtdragover")))}}else if(t.hoverData.dragging){if(Ce=!0,Ne.panningEnabled()&&Ne.userPanningEnabled()){var Yt;if(t.hoverData.justStartedPan){var rn=t.hoverData.mdownPos;Yt={x:(Ee[0]-rn[0])*Me,y:(Ee[1]-rn[1])*Me},t.hoverData.justStartedPan=!1}else Yt={x:Ge[0]*Me,y:Ge[1]*Me};Ne.panBy(Yt),Ne.emit(gt("dragpan")),t.hoverData.dragged=!0}Ee=t.projectIntoViewport(V.clientX,V.clientY)}else if(nt[4]==1&&(Ye==null||Ye.pannable())){if(Ft){if(!t.hoverData.dragging&&Ne.boxSelectionEnabled()&&(St||!Ne.panningEnabled()||!Ne.userPanningEnabled()))ft();else if(!t.hoverData.selecting&&Ne.panningEnabled()&&Ne.userPanningEnabled()){var Fn=A(Ye,t.hoverData.downs);Fn&&(t.hoverData.dragging=!0,t.hoverData.justStartedPan=!0,nt[4]=0,t.data.bgActivePosistion=lC(xe),t.redrawHint("select",!0),t.redraw())}Ye&&Ye.pannable()&&Ye.active()&&Ye.unactivate()}}else{if(Ye&&Ye.pannable()&&Ye.active()&&Ye.unactivate(),(!Ye||!Ye.grabbed())&&ht!=Qe&&(Qe&&r(Qe,["mouseout","tapdragout"],V,{x:Ee[0],y:Ee[1]}),ht&&r(ht,["mouseover","tapdragover"],V,{x:Ee[0],y:Ee[1]}),t.hoverData.last=ht),Ye)if(Ft){if(Ne.boxSelectionEnabled()&&St)Ye&&Ye.grabbed()&&(C(ot),Ye.emit(gt("freeon")),ot.emit(gt("free")),t.dragData.didDrag&&(Ye.emit(gt("dragfreeon")),ot.emit(gt("dragfree")))),ft();else if(Ye&&Ye.grabbed()&&t.nodeIsDraggable(Ye)){var vn=!t.dragData.didDrag;vn&&t.redrawHint("eles",!0),t.dragData.didDrag=!0,t.hoverData.draggingEles||f(ot,{inDragLayer:!0});var hn={x:0,y:0};if(dn(Ge[0])&&dn(Ge[1])&&(hn.x+=Ge[0],hn.y+=Ge[1],vn)){var fn=t.hoverData.dragDelta;fn&&dn(fn[0])&&dn(fn[1])&&(hn.x+=fn[0],hn.y+=fn[1])}t.hoverData.draggingEles=!0,ot.silentShift(hn).emit(gt("position")).emit(gt("drag")),t.redrawHint("drag",!0),t.redraw()}}else Ot();Ce=!0}if(nt[2]=Ee[0],nt[3]=Ee[1],Ce)return V.stopPropagation&&V.stopPropagation(),V.preventDefault&&V.preventDefault(),!1}},!1);var O,K,R;t.registerBinding(e,"mouseup",function(V){if(!(t.hoverData.which===1&&V.which!==1&&t.hoverData.capture)){var ye=t.hoverData.capture;if(ye){t.hoverData.capture=!1;var Ce=t.cy,Ne=t.projectIntoViewport(V.clientX,V.clientY),Me=t.selection,Ue=t.findNearestElement(Ne[0],Ne[1],!0,!1),Ee=t.dragData.possibleDragElements,xe=t.hoverData.down,We=i(V);t.data.bgActivePosistion&&(t.redrawHint("select",!0),t.redraw()),t.hoverData.tapholdCancelled=!0,t.data.bgActivePosistion=void 0,xe&&xe.unactivate();var nt=function(Nt){return{originalEvent:V,type:Nt,position:{x:Ne[0],y:Ne[1]}}};if(t.hoverData.which===3){var ht=nt("cxttapend");if(xe?xe.emit(ht):Ce.emit(ht),!t.hoverData.cxtDragged){var Qe=nt("cxttap");xe?xe.emit(Qe):Ce.emit(Qe)}t.hoverData.cxtDragged=!1,t.hoverData.which=null}else if(t.hoverData.which===1){if(r(Ue,["mouseup","tapend","vmouseup"],V,{x:Ne[0],y:Ne[1]}),!t.dragData.didDrag&&!t.hoverData.dragged&&!t.hoverData.selecting&&!t.hoverData.isOverThresholdDrag&&(r(xe,["click","tap","vclick"],V,{x:Ne[0],y:Ne[1]}),K=!1,V.timeStamp-R<=Ce.multiClickDebounceTime()?(O&&clearTimeout(O),K=!0,R=null,r(xe,["dblclick","dbltap","vdblclick"],V,{x:Ne[0],y:Ne[1]})):(O=setTimeout(function(){K||r(xe,["oneclick","onetap","voneclick"],V,{x:Ne[0],y:Ne[1]})},Ce.multiClickDebounceTime()),R=V.timeStamp)),xe==null&&!t.dragData.didDrag&&!t.hoverData.selecting&&!t.hoverData.dragged&&!i(V)&&(Ce.$(n).unselect(["tapunselect"]),Ee.length>0&&t.redrawHint("eles",!0),t.dragData.possibleDragElements=Ee=Ce.collection()),Ue==xe&&!t.dragData.didDrag&&!t.hoverData.selecting&&Ue!=null&&Ue._private.selectable&&(t.hoverData.dragging||(Ce.selectionType()==="additive"||We?Ue.selected()?Ue.unselect(["tapunselect"]):Ue.select(["tapselect"]):We||(Ce.$(n).unmerge(Ue).unselect(["tapunselect"]),Ue.select(["tapselect"]))),t.redrawHint("eles",!0)),t.hoverData.selecting){var Ye=Ce.collection(t.getAllInBox(Me[0],Me[1],Me[2],Me[3]));t.redrawHint("select",!0),Ye.length>0&&t.redrawHint("eles",!0),Ce.emit(nt("boxend"));var Ge=function(Nt){return Nt.selectable()&&!Nt.selected()};Ce.selectionType()==="additive"||We||Ce.$(n).unmerge(Ye).unselect(),Ye.emit(nt("box")).stdFilter(Ge).select().emit(nt("boxselect")),t.redraw()}if(t.hoverData.dragging&&(t.hoverData.dragging=!1,t.redrawHint("select",!0),t.redrawHint("eles",!0),t.redraw()),!Me[4]){t.redrawHint("drag",!0),t.redrawHint("eles",!0);var ot=xe&&xe.grabbed();C(Ee),ot&&(xe.emit(nt("freeon")),Ee.emit(nt("free")),t.dragData.didDrag&&(xe.emit(nt("dragfreeon")),Ee.emit(nt("dragfree"))))}}Me[4]=0,t.hoverData.down=null,t.hoverData.cxtStarted=!1,t.hoverData.draggingEles=!1,t.hoverData.selecting=!1,t.hoverData.isOverThresholdDrag=!1,t.dragData.didDrag=!1,t.hoverData.dragged=!1,t.hoverData.dragDelta=[],t.hoverData.mdownPos=null,t.hoverData.mdownGPos=null,t.hoverData.which=null}}},!1);var G=[],T=4,L,U=1e5,H=function(V,ye){for(var Ce=0;Ce=T){var Ne=G;if(L=H(Ne,5),!L){var Me=Math.abs(Ne[0]);L=q(Ne)&&Me>5}if(L)for(var Ue=0;Ue5&&(Ce=$Y(Ce)*5),Qe=Ce/-250,L&&(Qe/=U,Qe*=3),Qe=Qe*t.wheelSensitivity;var Ye=V.deltaMode===1;Ye&&(Qe*=33);var Ge=Ee.zoom()*Math.pow(10,Qe);V.type==="gesturechange"&&(Ge=t.gestureStartZoom*V.scale),Ee.zoom({level:Ge,renderedPosition:{x:ht[0],y:ht[1]}}),Ee.emit({type:V.type==="gesturechange"?"pinchzoom":"scrollzoom",originalEvent:V,position:{x:nt[0],y:nt[1]}})}}}};t.registerBinding(t.container,"wheel",P,!0),t.registerBinding(e,"scroll",function(V){t.scrollingPage=!0,clearTimeout(t.scrollingPageTimeout),t.scrollingPageTimeout=setTimeout(function(){t.scrollingPage=!1},250)},!0),t.registerBinding(t.container,"gesturestart",function(V){t.gestureStartZoom=t.cy.zoom(),t.hasTouchStarted||V.preventDefault()},!0),t.registerBinding(t.container,"gesturechange",function(De){t.hasTouchStarted||P(De)},!0),t.registerBinding(t.container,"mouseout",function(V){var ye=t.projectIntoViewport(V.clientX,V.clientY);t.cy.emit({originalEvent:V,type:"mouseout",position:{x:ye[0],y:ye[1]}})},!1),t.registerBinding(t.container,"mouseover",function(V){var ye=t.projectIntoViewport(V.clientX,V.clientY);t.cy.emit({originalEvent:V,type:"mouseover",position:{x:ye[0],y:ye[1]}})},!1);var j,Z,$,X,ce,te,he,ae,se,oe,Ae,pe,le,ke=function(V,ye,Ce,Ne){return Math.sqrt((Ce-V)*(Ce-V)+(Ne-ye)*(Ne-ye))},me=function(V,ye,Ce,Ne){return(Ce-V)*(Ce-V)+(Ne-ye)*(Ne-ye)},He;t.registerBinding(t.container,"touchstart",He=function(V){if(t.hasTouchStarted=!0,!!F(V)){B(),t.touchData.capture=!0,t.data.bgActivePosistion=void 0;var ye=t.cy,Ce=t.touchData.now,Ne=t.touchData.earlier;if(V.touches[0]){var Me=t.projectIntoViewport(V.touches[0].clientX,V.touches[0].clientY);Ce[0]=Me[0],Ce[1]=Me[1]}if(V.touches[1]){var Me=t.projectIntoViewport(V.touches[1].clientX,V.touches[1].clientY);Ce[2]=Me[0],Ce[3]=Me[1]}if(V.touches[2]){var Me=t.projectIntoViewport(V.touches[2].clientX,V.touches[2].clientY);Ce[4]=Me[0],Ce[5]=Me[1]}var Ue=function(St){return{originalEvent:V,type:St,position:{x:Ce[0],y:Ce[1]}}};if(V.touches[1]){t.touchData.singleTouchMoved=!0,C(t.dragData.touchDragEles);var Ee=t.findContainerClientCoords();se=Ee[0],oe=Ee[1],Ae=Ee[2],pe=Ee[3],j=V.touches[0].clientX-se,Z=V.touches[0].clientY-oe,$=V.touches[1].clientX-se,X=V.touches[1].clientY-oe,le=0<=j&&j<=Ae&&0<=$&&$<=Ae&&0<=Z&&Z<=pe&&0<=X&&X<=pe;var xe=ye.pan(),We=ye.zoom();ce=ke(j,Z,$,X),te=me(j,Z,$,X),he=[(j+$)/2,(Z+X)/2],ae=[(he[0]-xe.x)/We,(he[1]-xe.y)/We];var nt=200,ht=nt*nt;if(te=1){for(var re=t.touchData.startPosition=[null,null,null,null,null,null],pt=0;pt=t.touchTapThreshold2}if(ye&&t.touchData.cxt){V.preventDefault();var pt=V.touches[0].clientX-se,dt=V.touches[0].clientY-oe,_t=V.touches[1].clientX-se,St=V.touches[1].clientY-oe,Ot=me(pt,dt,_t,St),gt=Ot/te,ft=150,Vt=ft*ft,Yt=1.5,rn=Yt*Yt;if(gt>=rn||Ot>=Vt){t.touchData.cxt=!1,t.data.bgActivePosistion=void 0,t.redrawHint("select",!0);var Fn=We("cxttapend");t.touchData.start?(t.touchData.start.unactivate().emit(Fn),t.touchData.start=null):Ne.emit(Fn)}}if(ye&&t.touchData.cxt){var Fn=We("cxtdrag");t.data.bgActivePosistion=void 0,t.redrawHint("select",!0),t.touchData.start?t.touchData.start.emit(Fn):Ne.emit(Fn),t.touchData.start&&(t.touchData.start._private.grabbed=!1),t.touchData.cxtDragged=!0;var vn=t.findNearestElement(Me[0],Me[1],!0,!0);(!t.touchData.cxtOver||vn!==t.touchData.cxtOver)&&(t.touchData.cxtOver&&t.touchData.cxtOver.emit(We("cxtdragout")),t.touchData.cxtOver=vn,vn&&vn.emit(We("cxtdragover")))}else if(ye&&V.touches[2]&&Ne.boxSelectionEnabled())V.preventDefault(),t.data.bgActivePosistion=void 0,this.lastThreeTouch=+new Date,t.touchData.selecting||Ne.emit(We("boxstart")),t.touchData.selecting=!0,t.touchData.didSelect=!0,Ce[4]=1,!Ce||Ce.length===0||Ce[0]===void 0?(Ce[0]=(Me[0]+Me[2]+Me[4])/3,Ce[1]=(Me[1]+Me[3]+Me[5])/3,Ce[2]=(Me[0]+Me[2]+Me[4])/3+1,Ce[3]=(Me[1]+Me[3]+Me[5])/3+1):(Ce[2]=(Me[0]+Me[2]+Me[4])/3,Ce[3]=(Me[1]+Me[3]+Me[5])/3),t.redrawHint("select",!0),t.redraw();else if(ye&&V.touches[1]&&!t.touchData.didSelect&&Ne.zoomingEnabled()&&Ne.panningEnabled()&&Ne.userZoomingEnabled()&&Ne.userPanningEnabled()){V.preventDefault(),t.data.bgActivePosistion=void 0,t.redrawHint("select",!0);var hn=t.dragData.touchDragEles;if(hn){t.redrawHint("drag",!0);for(var fn=0;fn0&&!t.hoverData.draggingEles&&!t.swipePanning&&t.data.bgActivePosistion!=null&&(t.data.bgActivePosistion=void 0,t.redrawHint("select",!0),t.redraw())}},!1);var Ze;t.registerBinding(e,"touchcancel",Ze=function(V){var ye=t.touchData.start;t.touchData.capture=!1,ye&&ye.unactivate()});var ve,at,rt,ct;if(t.registerBinding(e,"touchend",ve=function(V){var ye=t.touchData.start,Ce=t.touchData.capture;if(Ce)V.touches.length===0&&(t.touchData.capture=!1),V.preventDefault();else return;var Ne=t.selection;t.swipePanning=!1,t.hoverData.draggingEles=!1;var Me=t.cy,Ue=Me.zoom(),Ee=t.touchData.now,xe=t.touchData.earlier;if(V.touches[0]){var We=t.projectIntoViewport(V.touches[0].clientX,V.touches[0].clientY);Ee[0]=We[0],Ee[1]=We[1]}if(V.touches[1]){var We=t.projectIntoViewport(V.touches[1].clientX,V.touches[1].clientY);Ee[2]=We[0],Ee[3]=We[1]}if(V.touches[2]){var We=t.projectIntoViewport(V.touches[2].clientX,V.touches[2].clientY);Ee[4]=We[0],Ee[5]=We[1]}var nt=function(Vt){return{originalEvent:V,type:Vt,position:{x:Ee[0],y:Ee[1]}}};ye&&ye.unactivate();var ht;if(t.touchData.cxt){if(ht=nt("cxttapend"),ye?ye.emit(ht):Me.emit(ht),!t.touchData.cxtDragged){var Qe=nt("cxttap");ye?ye.emit(Qe):Me.emit(Qe)}t.touchData.start&&(t.touchData.start._private.grabbed=!1),t.touchData.cxt=!1,t.touchData.start=null,t.redraw();return}if(!V.touches[2]&&Me.boxSelectionEnabled()&&t.touchData.selecting){t.touchData.selecting=!1;var Ye=Me.collection(t.getAllInBox(Ne[0],Ne[1],Ne[2],Ne[3]));Ne[0]=void 0,Ne[1]=void 0,Ne[2]=void 0,Ne[3]=void 0,Ne[4]=0,t.redrawHint("select",!0),Me.emit(nt("boxend"));var Ge=function(Vt){return Vt.selectable()&&!Vt.selected()};Ye.emit(nt("box")).stdFilter(Ge).select().emit(nt("boxselect")),Ye.nonempty()&&t.redrawHint("eles",!0),t.redraw()}if(ye?.unactivate(),V.touches[2])t.data.bgActivePosistion=void 0,t.redrawHint("select",!0);else if(!V.touches[1]){if(!V.touches[0]){if(!V.touches[0]){t.data.bgActivePosistion=void 0,t.redrawHint("select",!0);var ot=t.dragData.touchDragEles;if(ye!=null){var Ft=ye._private.grabbed;C(ot),t.redrawHint("drag",!0),t.redrawHint("eles",!0),Ft&&(ye.emit(nt("freeon")),ot.emit(nt("free")),t.dragData.didDrag&&(ye.emit(nt("dragfreeon")),ot.emit(nt("dragfree")))),r(ye,["touchend","tapend","vmouseup","tapdragout"],V,{x:Ee[0],y:Ee[1]}),ye.unactivate(),t.touchData.start=null}else{var Nt=t.findNearestElement(Ee[0],Ee[1],!0,!0);r(Nt,["touchend","tapend","vmouseup","tapdragout"],V,{x:Ee[0],y:Ee[1]})}var re=t.touchData.startPosition[0]-Ee[0],pt=re*re,dt=t.touchData.startPosition[1]-Ee[1],_t=dt*dt,St=pt+_t,Ot=St*Ue*Ue;t.touchData.singleTouchMoved||(ye||Me.$(":selected").unselect(["tapunselect"]),r(ye,["tap","vclick"],V,{x:Ee[0],y:Ee[1]}),at=!1,V.timeStamp-ct<=Me.multiClickDebounceTime()?(rt&&clearTimeout(rt),at=!0,ct=null,r(ye,["dbltap","vdblclick"],V,{x:Ee[0],y:Ee[1]})):(rt=setTimeout(function(){at||r(ye,["onetap","voneclick"],V,{x:Ee[0],y:Ee[1]})},Me.multiClickDebounceTime()),ct=V.timeStamp)),ye!=null&&!t.dragData.didDrag&&ye._private.selectable&&Ot"u"){var Oe=[],st=function(V){return{clientX:V.clientX,clientY:V.clientY,force:1,identifier:V.pointerId,pageX:V.pageX,pageY:V.pageY,radiusX:V.width/2,radiusY:V.height/2,screenX:V.screenX,screenY:V.screenY,target:V.target}},qe=function(V){return{event:V,touch:st(V)}},ze=function(V){Oe.push(qe(V))},At=function(V){for(var ye=0;ye0)return j[0]}return null},m=Object.keys(g),f=0;f0?p:Wke(i,A,e,n,a,r,o,s)},checkPoint:function(e,n,a,r,i,A,o,s){s=s==="auto"?Op(r,i):s;var l=2*s;if(eg(e,n,this.points,A,o,r,i-l,[0,-1],a)||eg(e,n,this.points,A,o,r-l,i,[0,-1],a))return!0;var d=r/2+2*a,u=i/2+2*a,g=[A-d,o-u,A-d,o,A+d,o,A+d,o-u];return!!(as(e,n,g)||kh(e,n,l,l,A+r/2-s,o+i/2-s,a)||kh(e,n,l,l,A-r/2+s,o+i/2-s,a))}}};lg.registerNodeShapes=function(){var 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a=n.id(),r=this.keyForId.get(a),i=this.getKey(n);this.deleteIdForKey(r,a),this.addIdForKey(i,a),this.keyForId.set(a,i)}},{key:"deleteKeyMappingFor",value:function(n){var a=n.id(),r=this.keyForId.get(a);this.deleteIdForKey(r,a),this.keyForId.delete(a)}},{key:"keyHasChangedFor",value:function(n){var a=n.id(),r=this.keyForId.get(a),i=this.getKey(n);return r!==i}},{key:"isInvalid",value:function(n){return this.keyHasChangedFor(n)||this.doesEleInvalidateKey(n)}},{key:"getCachesAt",value:function(n){var a=this.cachesByLvl,r=this.lvls,i=a.get(n);return i||(i=new Nu,a.set(n,i),r.push(n)),i}},{key:"getCache",value:function(n,a){return this.getCachesAt(a).get(n)}},{key:"get",value:function(n,a){var r=this.getKey(n),i=this.getCache(r,a);return i!=null&&this.updateKeyMappingFor(n),i}},{key:"getForCachedKey",value:function(n,a){var r=this.keyForId.get(n.id()),i=this.getCache(r,a);return i}},{key:"hasCache",value:function(n,a){return this.getCachesAt(a).has(n)}},{key:"has",value:function(n,a){var r=this.getKey(n);return this.hasCache(r,a)}},{key:"setCache",value:function(n,a,r){r.key=n,this.getCachesAt(a).set(n,r)}},{key:"set",value:function(n,a,r){var i=this.getKey(n);this.setCache(i,a,r),this.updateKeyMappingFor(n)}},{key:"deleteCache",value:function(n,a){this.getCachesAt(a).delete(n)}},{key:"delete",value:function(n,a){var r=this.getKey(n);this.deleteCache(r,a)}},{key:"invalidateKey",value:function(n){var a=this;this.lvls.forEach(function(r){return a.deleteCache(n,r)})}},{key:"invalidate",value:function(n){var a=n.id(),r=this.keyForId.get(a);this.deleteKeyMappingFor(n);var i=this.doesEleInvalidateKey(n);return 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O;if(!B&&!w&&!k)for(var K=a-1;K>=Wx;K--){var R=s.get(t,K);if(R){O=R;break}}if(I(O))return i.queueElement(t,a),O;b.context.translate(b.usedWidth,0),b.context.scale(l,l),this.drawElement(b.context,t,e,g,!1),b.context.scale(1/l,1/l),b.context.translate(-b.usedWidth,0)}return p={x:b.usedWidth,texture:b,level:a,scale:l,width:u,height:d,scaledLabelShown:g},b.usedWidth+=Math.ceil(u+ywt),b.eleCaches.push(p),s.set(t,a,p),i.checkTextureFullness(b),p};pA.invalidateElements=function(t){for(var e=0;e=vwt*t.width&&this.retireTexture(t)};pA.checkTextureFullness=function(t){var e=this,n=e.getTextureQueue(t.height);t.usedWidth/t.width>Dwt&&t.fullnessChecks>=xwt?Gp(n,t):t.fullnessChecks++};pA.retireTexture=function(t){var e=this,n=t.height,a=e.getTextureQueue(n),r=this.lookup;Gp(a,t),t.retired=!0;for(var i=t.eleCaches,A=0;A=e)return A.retired=!1,A.usedWidth=0,A.invalidatedWidth=0,A.fullnessChecks=0,VY(A.eleCaches),A.context.setTransform(1,0,0,1,0,0),A.context.clearRect(0,0,A.width,A.height),Gp(r,A),a.push(A),A}};pA.queueElement=function(t,e){var n=this,a=n.getElementQueue(),r=n.getElementKeyToQueue(),i=this.getKey(t),A=r[i];if(A)A.level=Math.max(A.level,e),A.eles.merge(t),A.reqs++,a.updateItem(A);else{var o={eles:t.spawn().merge(t),level:e,reqs:1,key:i};a.push(o),r[i]=o}};pA.dequeue=function(t){for(var e=this,n=e.getElementQueue(),a=e.getElementKeyToQueue(),r=[],i=e.lookup,A=0;A0;A++){var o=n.pop(),s=o.key,l=o.eles[0],d=i.hasCache(l,o.level);if(a[s]=null,d)continue;r.push(o);var u=e.getBoundingBox(l);e.getElement(l,u,t,o.level,uC.dequeue)}return r};pA.removeFromQueue=function(t){var e=this,n=e.getElementQueue(),a=e.getElementKeyToQueue(),r=this.getKey(t),i=a[r];i!=null&&(i.eles.length===1?(i.reqs=WY,n.updateItem(i),n.pop(),a[r]=null):i.eles.unmerge(t))};pA.onDequeue=function(t){this.onDequeues.push(t)};pA.offDequeue=function(t){Gp(this.onDequeues,t)};pA.setupDequeueing=Xve.setupDequeueing({deqRedrawThreshold:Mwt,deqCost:Swt,deqAvgCost:_wt,deqNoDrawCost:Rwt,deqFastCost:Nwt,deq:function(e,n,a){return e.dequeue(n,a)},onDeqd:function(e,n){for(var a=0;a=Gwt||n>B_)return null}a.validateLayersElesOrdering(n,t);var s=a.layersByLevel,l=Math.pow(2,n),d=s[n]=s[n]||[],u,g=a.levelIsComplete(n,t),p,m=function(){var F=function(G){if(a.validateLayersElesOrdering(G,t),a.levelIsComplete(G,t))return p=s[G],!0},M=function(G){if(!p)for(var T=n+G;CQ<=T&&T<=B_&&!F(T);T+=G);};M(1),M(-1);for(var O=d.length-1;O>=0;O--){var K=d[O];K.invalid&&Gp(d,K)}};if(!g)m();else return d;var f=function(){if(!u){u=Fo();for(var F=0;Ftce||K>tce)return null;var R=O*K;if(R>jwt)return null;var G=a.makeLayer(u,n);if(M!=null){var T=d.indexOf(M)+1;d.splice(T,0,G)}else(F.insert===void 0||F.insert)&&d.unshift(G);return G};if(a.skipping&&!o)return null;for(var C=null,I=t.length/Twt,B=!o,w=0;w=I||!Jke(C.bb,k.boundingBox()))&&(C=b({insert:!0,after:C}),!C))return null;p||B?a.queueLayer(C,k):a.drawEleInLayer(C,k,n,e),C.eles.push(k),D[n]=C}return p||(B?null:d)};zA.getEleLevelForLayerLevel=function(t,e){return t};zA.drawEleInLayer=function(t,e,n,a){var r=this,i=this.renderer,A=t.context,o=e.boundingBox();o.w===0||o.h===0||!e.visible()||(n=r.getEleLevelForLayerLevel(n,a),i.setImgSmoothing(A,!1),i.drawCachedElement(A,e,null,null,n,zwt),i.setImgSmoothing(A,!0))};zA.levelIsComplete=function(t,e){var n=this,a=n.layersByLevel[t];if(!a||a.length===0)return!1;for(var r=0,i=0;i0||A.invalid)return!1;r+=A.eles.length}return r===e.length};zA.validateLayersElesOrdering=function(t,e){var n=this.layersByLevel[t];if(n)for(var a=0;a0){e=!0;break}}return e};zA.invalidateElements=function(t){var e=this;t.length!==0&&(e.lastInvalidationTime=$u(),!(t.length===0||!e.haveLayers())&&e.updateElementsInLayers(t,function(a,r,i){e.invalidateLayer(a)}))};zA.invalidateLayer=function(t){if(this.lastInvalidationTime=$u(),!t.invalid){var e=t.level,n=t.eles,a=this.layersByLevel[e];Gp(a,t),t.elesQueue=[],t.invalid=!0,t.replacement&&(t.replacement.invalid=!0);for(var r=0;r3&&arguments[3]!==void 0?arguments[3]:!0,r=arguments.length>4&&arguments[4]!==void 0?arguments[4]:!0,i=arguments.length>5&&arguments[5]!==void 0?arguments[5]:!0,A=this,o=e._private.rscratch;if(!(i&&!e.visible())&&!(o.badLine||o.allpts==null||isNaN(o.allpts[0]))){var s;n&&(s=n,t.translate(-s.x1,-s.y1));var l=i?e.pstyle("opacity").value:1,d=i?e.pstyle("line-opacity").value:1,u=e.pstyle("curve-style").value,g=e.pstyle("line-style").value,p=e.pstyle("width").pfValue,m=e.pstyle("line-cap").value,f=e.pstyle("line-outline-width").value,b=e.pstyle("line-outline-color").value,C=l*d,I=l*d,B=function(){var G=arguments.length>0&&arguments[0]!==void 0?arguments[0]:C;u==="straight-triangle"?(A.eleStrokeStyle(t,e,G),A.drawEdgeTrianglePath(e,t,o.allpts)):(t.lineWidth=p,t.lineCap=m,A.eleStrokeStyle(t,e,G),A.drawEdgePath(e,t,o.allpts,g),t.lineCap="butt")},w=function(){var G=arguments.length>0&&arguments[0]!==void 0?arguments[0]:C;if(t.lineWidth=p+f,t.lineCap=m,f>0)A.colorStrokeStyle(t,b[0],b[1],b[2],G);else{t.lineCap="butt";return}u==="straight-triangle"?A.drawEdgeTrianglePath(e,t,o.allpts):(A.drawEdgePath(e,t,o.allpts,g),t.lineCap="butt")},k=function(){r&&A.drawEdgeOverlay(t,e)},_=function(){r&&A.drawEdgeUnderlay(t,e)},D=function(){var G=arguments.length>0&&arguments[0]!==void 0?arguments[0]:I;A.drawArrowheads(t,e,G)},x=function(){A.drawElementText(t,e,null,a)};t.lineJoin="round";var S=e.pstyle("ghost").value==="yes";if(S){var F=e.pstyle("ghost-offset-x").pfValue,M=e.pstyle("ghost-offset-y").pfValue,O=e.pstyle("ghost-opacity").value,K=C*O;t.translate(F,M),B(K),D(K),t.translate(-F,-M)}else 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p=!n,m;n&&(m=n,t.translate(-m.x1,-m.y1)),r==null?(A.drawText(t,e,null,p,i),e.isEdge()&&(A.drawText(t,e,"source",p,i),A.drawText(t,e,"target",p,i))):A.drawText(t,e,r,p,i),n&&t.translate(m.x1,m.y1)};Df.getFontCache=function(t){var e;this.fontCaches=this.fontCaches||[];for(var n=0;n2&&arguments[2]!==void 0?arguments[2]:!0,a=e.pstyle("font-style").strValue,r=e.pstyle("font-size").pfValue+"px",i=e.pstyle("font-family").strValue,A=e.pstyle("font-weight").strValue,o=n?e.effectiveOpacity()*e.pstyle("text-opacity").value:1,s=e.pstyle("text-outline-opacity").value*o,l=e.pstyle("color").value,d=e.pstyle("text-outline-color").value;t.font=a+" "+A+" "+r+" "+i,t.lineJoin="round",this.colorFillStyle(t,l[0],l[1],l[2],o),this.colorStrokeStyle(t,d[0],d[1],d[2],s)};function r0t(t,e,n,a,r){var i=Math.min(a,r),A=i/2,o=e+a/2,s=n+r/2;t.beginPath(),t.arc(o,s,A,0,Math.PI*2),t.closePath()}function ice(t,e,n,a,r){var i=arguments.length>5&&arguments[5]!==void 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pe=p;se.drawImage(oe,0,0,e.canvasWidth*pe,e.canvasHeight*pe,0,0,e.canvasWidth,e.canvasHeight)};(d[e.NODE]||P[e.NODE])&&(he($,X,P[e.NODE]),d[e.NODE]=!1),(d[e.DRAG]||P[e.DRAG])&&(he(ce,te,P[e.DRAG]),d[e.DRAG]=!1)}e.prevViewport=D,e.clearingMotionBlur&&(e.clearingMotionBlur=!1,e.motionBlurCleared=!0,e.motionBlur=!0),g&&(e.motionBlurTimeout=setTimeout(function(){e.motionBlurTimeout=null,e.clearedForMotionBlur[e.NODE]=!1,e.clearedForMotionBlur[e.DRAG]=!1,e.motionBlur=!1,e.clearingMotionBlur=!u,e.mbFrames=0,d[e.NODE]=!0,d[e.DRAG]=!0,e.redraw()},i0t)),a||n.emit("render")};var HB;Uo.drawSelectionRectangle=function(t,e){var n=this,a=n.cy,r=n.data,i=a.style(),A=t.drawOnlyNodeLayer,o=t.drawAllLayers,s=r.canvasNeedsRedraw,l=t.forcedContext;if(n.showFps||!A&&s[n.SELECT_BOX]&&!o){var d=l||r.contexts[n.SELECT_BOX];if(e(d),n.selection[4]==1&&(n.hoverData.selecting||n.touchData.selecting)){var u=n.cy.zoom(),g=i.core("selection-box-border-width").value/u;d.lineWidth=g,d.fillStyle="rgba("+i.core("selection-box-color").value[0]+","+i.core("selection-box-color").value[1]+","+i.core("selection-box-color").value[2]+","+i.core("selection-box-opacity").value+")",d.fillRect(n.selection[0],n.selection[1],n.selection[2]-n.selection[0],n.selection[3]-n.selection[1]),g>0&&(d.strokeStyle="rgba("+i.core("selection-box-border-color").value[0]+","+i.core("selection-box-border-color").value[1]+","+i.core("selection-box-border-color").value[2]+","+i.core("selection-box-opacity").value+")",d.strokeRect(n.selection[0],n.selection[1],n.selection[2]-n.selection[0],n.selection[3]-n.selection[1]))}if(r.bgActivePosistion&&!n.hoverData.selecting){var u=n.cy.zoom(),p=r.bgActivePosistion;d.fillStyle="rgba("+i.core("active-bg-color").value[0]+","+i.core("active-bg-color").value[1]+","+i.core("active-bg-color").value[2]+","+i.core("active-bg-opacity").value+")",d.beginPath(),d.arc(p.x,p.y,i.core("active-bg-size").pfValue/u,0,2*Math.PI),d.fill()}var m=n.lastRedrawTime;if(n.showFps&&m){m=Math.round(m);var f=Math.round(1e3/m),b="1 frame = "+m+" ms = "+f+" fps";if(d.setTransform(1,0,0,1,0,0),d.fillStyle="rgba(255, 0, 0, 0.75)",d.strokeStyle="rgba(255, 0, 0, 0.75)",d.font="30px Arial",!HB){var C=d.measureText(b);HB=C.actualBoundingBoxAscent}d.fillText(b,0,HB);var I=60;d.strokeRect(0,HB+10,250,20),d.fillRect(0,HB+10,250*Math.min(f/I,1),20)}o||(s[n.SELECT_BOX]=!1)}};function Ace(t,e,n){var a=t.createShader(e);if(t.shaderSource(a,n),t.compileShader(a),!t.getShaderParameter(a,t.COMPILE_STATUS))throw new Error(t.getShaderInfoLog(a));return a}function A0t(t,e,n){var a=Ace(t,t.VERTEX_SHADER,e),r=Ace(t,t.FRAGMENT_SHADER,n),i=t.createProgram();if(t.attachShader(i,a),t.attachShader(i,r),t.linkProgram(i),!t.getProgramParameter(i,t.LINK_STATUS))throw new Error("Could not initialize shaders");return i}function o0t(t,e,n){n===void 0&&(n=e);var a=t.makeOffscreenCanvas(e,n),r=a.context=a.getContext("2d");return a.clear=function(){return r.clearRect(0,0,a.width,a.height)},a.clear(),a}function mq(t){var e=t.pixelRatio,n=t.cy.zoom(),a=t.cy.pan();return{zoom:n*e,pan:{x:a.x*e,y:a.y*e}}}function s0t(t){var e=t.pixelRatio,n=t.cy.zoom();return n*e}function c0t(t,e,n,a,r){var i=a*n+e.x,A=r*n+e.y;return A=Math.round(t.canvasHeight-A),[i,A]}function l0t(t){return t.pstyle("background-fill").value!=="solid"||t.pstyle("background-image").strValue!=="none"?!1:t.pstyle("border-width").value===0||t.pstyle("border-opacity").value===0?!0:t.pstyle("border-style").value==="solid"}function d0t(t,e){if(t.length!==e.length)return!1;for(var n=0;n>0&255)/255,n[1]=(t>>8&255)/255,n[2]=(t>>16&255)/255,n[3]=(t>>24&255)/255,n}function u0t(t){return t[0]+(t[1]<<8)+(t[2]<<16)+(t[3]<<24)}function g0t(t,e){var n=t.createTexture();return n.buffer=function(a){t.bindTexture(t.TEXTURE_2D,n),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR_MIPMAP_NEAREST),t.pixelStorei(t.UNPACK_PREMULTIPLY_ALPHA_WEBGL,!0),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,a),t.generateMipmap(t.TEXTURE_2D),t.bindTexture(t.TEXTURE_2D,null)},n.deleteTexture=function(){t.deleteTexture(n)},n}function rDe(t,e){switch(e){case"float":return[1,t.FLOAT,4];case"vec2":return[2,t.FLOAT,4];case"vec3":return[3,t.FLOAT,4];case"vec4":return[4,t.FLOAT,4];case"int":return[1,t.INT,4];case"ivec2":return[2,t.INT,4]}}function iDe(t,e,n){switch(e){case t.FLOAT:return new Float32Array(n);case t.INT:return new Int32Array(n)}}function p0t(t,e,n,a,r,i){switch(e){case t.FLOAT:return new Float32Array(n.buffer,i*a,r);case t.INT:return new Int32Array(n.buffer,i*a,r)}}function m0t(t,e,n,a){var r=rDe(t,e),i=Ui(r,2),A=i[0],o=i[1],s=iDe(t,o,a),l=t.createBuffer();return t.bindBuffer(t.ARRAY_BUFFER,l),t.bufferData(t.ARRAY_BUFFER,s,t.STATIC_DRAW),o===t.FLOAT?t.vertexAttribPointer(n,A,o,!1,0,0):o===t.INT&&t.vertexAttribIPointer(n,A,o,0,0),t.enableVertexAttribArray(n),t.bindBuffer(t.ARRAY_BUFFER,null),l}function jl(t,e,n,a){var r=rDe(t,n),i=Ui(r,3),A=i[0],o=i[1],s=i[2],l=iDe(t,o,e*A),d=A*s,u=t.createBuffer();t.bindBuffer(t.ARRAY_BUFFER,u),t.bufferData(t.ARRAY_BUFFER,e*d,t.DYNAMIC_DRAW),t.enableVertexAttribArray(a),o===t.FLOAT?t.vertexAttribPointer(a,A,o,!1,d,0):o===t.INT&&t.vertexAttribIPointer(a,A,o,d,0),t.vertexAttribDivisor(a,1),t.bindBuffer(t.ARRAY_BUFFER,null);for(var g=new Array(e),p=0;pA&&(o=A/a,s=a*o,l=r*o),{scale:o,texW:s,texH:l}}},{key:"draw",value:function(n,a,r){var i=this;if(this.locked)throw new Error("can't draw, atlas is locked");var A=this.texSize,o=this.texRows,s=this.texHeight,l=this.getScale(a),d=l.scale,u=l.texW,g=l.texH,p=function(B,w){if(r&&w){var k=w.context,_=B.x,D=B.row,x=_,S=s*D;k.save(),k.translate(x,S),k.scale(d,d),r(k,a),k.restore()}},m=[null,null],f=function(){p(i.freePointer,i.canvas),m[0]={x:i.freePointer.x,y:i.freePointer.row*s,w:u,h:g},m[1]={x:i.freePointer.x+u,y:i.freePointer.row*s,w:0,h:g},i.freePointer.x+=u,i.freePointer.x==A&&(i.freePointer.x=0,i.freePointer.row++)},b=function(){var B=i.scratch,w=i.canvas;B.clear(),p({x:0,row:0},B);var k=A-i.freePointer.x,_=u-k,D=s;{var x=i.freePointer.x,S=i.freePointer.row*s,F=k;w.context.drawImage(B,0,0,F,D,x,S,F,D),m[0]={x,y:S,w:F,h:g}}{var M=k,O=(i.freePointer.row+1)*s,K=_;w&&w.context.drawImage(B,M,0,K,D,0,O,K,D),m[1]={x:0,y:O,w:K,h:g}}i.freePointer.x=_,i.freePointer.row++},C=function(){i.freePointer.x=0,i.freePointer.row++};if(this.freePointer.x+u<=A)f();else{if(this.freePointer.row>=o-1)return!1;this.freePointer.x===A?(C(),f()):this.enableWrapping?b():(C(),f())}return this.keyToLocation.set(n,m),this.needsBuffer=!0,m}},{key:"getOffsets",value:function(n){return this.keyToLocation.get(n)}},{key:"isEmpty",value:function(){return this.freePointer.x===0&&this.freePointer.row===0}},{key:"canFit",value:function(n){if(this.locked)return!1;var a=this.texSize,r=this.texRows,i=this.getScale(n),A=i.texW;return this.freePointer.x+A>a?this.freePointer.row1&&arguments[1]!==void 0?arguments[1]:{},i=r.forceRedraw,A=i===void 0?!1:i,o=r.filterEle,s=o===void 0?function(){return!0}:o,l=r.filterType,d=l===void 0?function(){return!0}:l,u=!1,g=!1,p=cs(n),m;try{for(p.s();!(m=p.n()).done;){var f=m.value;if(s(f)){var b=cs(this.renderTypes.values()),C;try{var I=function(){var w=C.value,k=w.type;if(d(k)){var _=a.collections.get(w.collection),D=w.getKey(f),x=Array.isArray(D)?D:[D];if(A)x.forEach(function(O){return _.markKeyForGC(O)}),g=!0;else{var S=w.getID?w.getID(f):f.id(),F=a._key(k,S),M=a.typeAndIdToKey.get(F);M!==void 0&&!d0t(x,M)&&(u=!0,a.typeAndIdToKey.delete(F),M.forEach(function(O){return _.markKeyForGC(O)}))}}};for(b.s();!(C=b.n()).done;)I()}catch(B){b.e(B)}finally{b.f()}}}}catch(B){p.e(B)}finally{p.f()}return g&&(this.gc(),u=!1),u}},{key:"gc",value:function(){var n=cs(this.collections.values()),a;try{for(n.s();!(a=n.n()).done;){var r=a.value;r.gc()}}catch(i){n.e(i)}finally{n.f()}}},{key:"getOrCreateAtlas",value:function(n,a,r,i){var A=this.renderTypes.get(a),o=this.collections.get(A.collection),s=!1,l=o.draw(i,r,function(g){A.drawClipped?(g.save(),g.beginPath(),g.rect(0,0,r.w,r.h),g.clip(),A.drawElement(g,n,r,!0,!0),g.restore()):A.drawElement(g,n,r,!0,!0),s=!0});if(s){var d=A.getID?A.getID(n):n.id(),u=this._key(a,d);this.typeAndIdToKey.has(u)?this.typeAndIdToKey.get(u).push(i):this.typeAndIdToKey.set(u,[i])}return l}},{key:"getAtlasInfo",value:function(n,a){var r=this,i=this.renderTypes.get(a),A=i.getKey(n),o=Array.isArray(A)?A:[A];return o.map(function(s){var l=i.getBoundingBox(n,s),d=r.getOrCreateAtlas(n,a,l,s),u=d.getOffsets(s),g=Ui(u,2),p=g[0],m=g[1];return{atlas:d,tex:p,tex1:p,tex2:m,bb:l}})}},{key:"getDebugInfo",value:function(){var n=[],a=cs(this.collections),r;try{for(a.s();!(r=a.n()).done;){var i=Ui(r.value,2),A=i[0],o=i[1],s=o.getCounts(),l=s.keyCount,d=s.atlasCount;n.push({type:A,keyCount:l,atlasCount:d})}}catch(u){a.e(u)}finally{a.f()}return n}}])})(),Q0t=(function(){function t(e){am(this,t),this.globalOptions=e,this.atlasSize=e.webglTexSize,this.maxAtlasesPerBatch=e.webglTexPerBatch,this.batchAtlases=[]}return rm(t,[{key:"getMaxAtlasesPerBatch",value:function(){return this.maxAtlasesPerBatch}},{key:"getAtlasSize",value:function(){return this.atlasSize}},{key:"getIndexArray",value:function(){return Array.from({length:this.maxAtlasesPerBatch},function(n,a){return a})}},{key:"startBatch",value:function(){this.batchAtlases=[]}},{key:"getAtlasCount",value:function(){return this.batchAtlases.length}},{key:"getAtlases",value:function(){return this.batchAtlases}},{key:"canAddToCurrentBatch",value:function(n){return this.batchAtlases.length===this.maxAtlasesPerBatch?this.batchAtlases.includes(n):!0}},{key:"getAtlasIndexForBatch",value:function(n){var a=this.batchAtlases.indexOf(n);if(a<0){if(this.batchAtlases.length===this.maxAtlasesPerBatch)throw new Error("cannot add more atlases to batch");this.batchAtlases.push(n),a=this.batchAtlases.length-1}return a}}])})(),w0t=` + float circleSD(vec2 p, float r) { + return distance(vec2(0), p) - r; // signed distance + } +`,k0t=` + float rectangleSD(vec2 p, vec2 b) { + vec2 d = abs(p)-b; + return distance(vec2(0),max(d,0.0)) + min(max(d.x,d.y),0.0); + } +`,v0t=` + float roundRectangleSD(vec2 p, vec2 b, vec4 cr) { + cr.xy = (p.x > 0.0) ? cr.xy : cr.zw; + cr.x = (p.y > 0.0) ? cr.x : cr.y; + vec2 q = abs(p) - b + cr.x; + return min(max(q.x, q.y), 0.0) + distance(vec2(0), max(q, 0.0)) - cr.x; + } +`,D0t=` + float ellipseSD(vec2 p, vec2 ab) { + p = abs( p ); // symmetry + + // find root with Newton solver + vec2 q = ab*(p-ab); + float w = (q.x1.0) ? d : -d; + } +`,EQ={SCREEN:{name:"screen",screen:!0},PICKING:{name:"picking",picking:!0}},y_={IGNORE:1,USE_BB:2},E9=0,lce=1,dce=2,I9=3,Pb=4,ID=5,YB=6,qB=7,x0t=(function(){function t(e,n,a){am(this,t),this.r=e,this.gl=n,this.maxInstances=a.webglBatchSize,this.atlasSize=a.webglTexSize,this.bgColor=a.bgColor,this.debug=a.webglDebug,this.batchDebugInfo=[],a.enableWrapping=!0,a.createTextureCanvas=o0t,this.atlasManager=new y0t(e,a),this.batchManager=new Q0t(a),this.simpleShapeOptions=new Map,this.program=this._createShaderProgram(EQ.SCREEN),this.pickingProgram=this._createShaderProgram(EQ.PICKING),this.vao=this._createVAO()}return rm(t,[{key:"addAtlasCollection",value:function(n,a){this.atlasManager.addAtlasCollection(n,a)}},{key:"addTextureAtlasRenderType",value:function(n,a){this.atlasManager.addRenderType(n,a)}},{key:"addSimpleShapeRenderType",value:function(n,a){this.simpleShapeOptions.set(n,a)}},{key:"invalidate",value:function(n){var a=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},r=a.type,i=this.atlasManager;return r?i.invalidate(n,{filterType:function(o){return o===r},forceRedraw:!0}):i.invalidate(n)}},{key:"gc",value:function(){this.atlasManager.gc()}},{key:"_createShaderProgram",value:function(n){var a=this.gl,r=`#version 300 es + precision highp float; + + uniform mat3 uPanZoomMatrix; + uniform int uAtlasSize; + + // instanced + in vec2 aPosition; // a vertex from the unit square + + in mat3 aTransform; // used to transform verticies, eg into a bounding box + in int aVertType; // the type of thing we are rendering + + // the z-index that is output when using picking mode + in vec4 aIndex; + + // For textures + in int aAtlasId; // which shader unit/atlas to use + in vec4 aTex; // x/y/w/h of texture in atlas + + // for edges + in vec4 aPointAPointB; + in vec4 aPointCPointD; + in vec2 aLineWidth; // also used for node border width + + // simple shapes + in vec4 aCornerRadius; // for round-rectangle [top-right, bottom-right, top-left, bottom-left] + in vec4 aColor; // also used for edges + in vec4 aBorderColor; // aLineWidth is used for border width + + // output values passed to the fragment shader + out vec2 vTexCoord; + out vec4 vColor; + out vec2 vPosition; + // flat values are not interpolated + flat out int vAtlasId; + flat out int vVertType; + flat out vec2 vTopRight; + flat out vec2 vBotLeft; + flat out vec4 vCornerRadius; + flat out vec4 vBorderColor; + flat out vec2 vBorderWidth; + flat out vec4 vIndex; + + void main(void) { + int vid = gl_VertexID; + vec2 position = aPosition; // TODO make this a vec3, simplifies some code below + + if(aVertType == `.concat(E9,`) { + float texX = aTex.x; // texture coordinates + float texY = aTex.y; + float texW = aTex.z; + float texH = aTex.w; + + if(vid == 1 || vid == 2 || vid == 4) { + texX += texW; + } + if(vid == 2 || vid == 4 || vid == 5) { + texY += texH; + } + + float d = float(uAtlasSize); + vTexCoord = vec2(texX / d, texY / d); // tex coords must be between 0 and 1 + + gl_Position = vec4(uPanZoomMatrix * aTransform * vec3(position, 1.0), 1.0); + } + else if(aVertType == `).concat(Pb," || aVertType == ").concat(qB,` + || aVertType == `).concat(ID," || aVertType == ").concat(YB,`) { // simple shapes + + // the bounding box is needed by the fragment shader + vBotLeft = (aTransform * vec3(0, 0, 1)).xy; // flat + vTopRight = (aTransform * vec3(1, 1, 1)).xy; // flat + vPosition = (aTransform * vec3(position, 1)).xy; // will be interpolated + + // calculations are done in the fragment shader, just pass these along + vColor = aColor; + vCornerRadius = aCornerRadius; + vBorderColor = aBorderColor; + vBorderWidth = aLineWidth; + + gl_Position = vec4(uPanZoomMatrix * aTransform * vec3(position, 1.0), 1.0); + } + else if(aVertType == `).concat(lce,`) { + vec2 source = aPointAPointB.xy; + vec2 target = aPointAPointB.zw; + + // adjust the geometry so that the line is centered on the edge + position.y = position.y - 0.5; + + // stretch the unit square into a long skinny rectangle + vec2 xBasis = target - source; + vec2 yBasis = normalize(vec2(-xBasis.y, xBasis.x)); + vec2 point = source + xBasis * position.x + yBasis * aLineWidth[0] * position.y; + + gl_Position = vec4(uPanZoomMatrix * vec3(point, 1.0), 1.0); + vColor = aColor; + } + else if(aVertType == `).concat(dce,`) { + vec2 pointA = aPointAPointB.xy; + vec2 pointB = aPointAPointB.zw; + vec2 pointC = aPointCPointD.xy; + vec2 pointD = aPointCPointD.zw; + + // adjust the geometry so that the line is centered on the edge + position.y = position.y - 0.5; + + vec2 p0, p1, p2, pos; + if(position.x == 0.0) { // The left side of the unit square + p0 = pointA; + p1 = pointB; + p2 = pointC; + pos = position; + } else { // The right side of the unit square, use same approach but flip the geometry upside down + p0 = pointD; + p1 = pointC; + p2 = pointB; + pos = vec2(0.0, -position.y); + } + + vec2 p01 = p1 - p0; + vec2 p12 = p2 - p1; + vec2 p21 = p1 - p2; + + // Find the normal vector. + vec2 tangent = normalize(normalize(p12) + normalize(p01)); + vec2 normal = vec2(-tangent.y, tangent.x); + + // Find the vector perpendicular to p0 -> p1. + vec2 p01Norm = normalize(vec2(-p01.y, p01.x)); + + // Determine the bend direction. + float sigma = sign(dot(p01 + p21, normal)); + float width = aLineWidth[0]; + + if(sign(pos.y) == -sigma) { + // This is an intersecting vertex. Adjust the position so that there's no overlap. + vec2 point = 0.5 * width * normal * -sigma / dot(normal, p01Norm); + gl_Position = vec4(uPanZoomMatrix * vec3(p1 + point, 1.0), 1.0); + } else { + // This is a non-intersecting vertex. Treat it like a mitre join. + vec2 point = 0.5 * width * normal * sigma * dot(normal, p01Norm); + gl_Position = vec4(uPanZoomMatrix * vec3(p1 + point, 1.0), 1.0); + } + + vColor = aColor; + } + else if(aVertType == `).concat(I9,` && vid < 3) { + // massage the first triangle into an edge arrow + if(vid == 0) + position = vec2(-0.15, -0.3); + if(vid == 1) + position = vec2( 0.0, 0.0); + if(vid == 2) + position = vec2( 0.15, -0.3); + + gl_Position = vec4(uPanZoomMatrix * aTransform * vec3(position, 1.0), 1.0); + vColor = aColor; + } + else { + gl_Position = vec4(2.0, 0.0, 0.0, 1.0); // discard vertex by putting it outside webgl clip space + } + + vAtlasId = aAtlasId; + vVertType = aVertType; + vIndex = aIndex; + } + `),i=this.batchManager.getIndexArray(),A=`#version 300 es + precision highp float; + + // declare texture unit for each texture atlas in the batch + `.concat(i.map(function(l){return"uniform sampler2D uTexture".concat(l,";")}).join(` + `),` + + uniform vec4 uBGColor; + uniform float uZoom; + + in vec2 vTexCoord; + in vec4 vColor; + in vec2 vPosition; // model coordinates + + flat in int vAtlasId; + flat in vec4 vIndex; + flat in int vVertType; + flat in vec2 vTopRight; + flat in vec2 vBotLeft; + flat in vec4 vCornerRadius; + flat in vec4 vBorderColor; + flat in vec2 vBorderWidth; + + out vec4 outColor; + + `).concat(w0t,` + `).concat(k0t,` + `).concat(v0t,` + `).concat(D0t,` + + vec4 blend(vec4 top, vec4 bot) { // blend colors with premultiplied alpha + return vec4( + top.rgb + (bot.rgb * (1.0 - top.a)), + top.a + (bot.a * (1.0 - top.a)) + ); + } + + vec4 distInterp(vec4 cA, vec4 cB, float d) { // interpolate color using Signed Distance + // scale to the zoom level so that borders don't look blurry when zoomed in + // note 1.5 is an aribitrary value chosen because it looks good + return mix(cA, cB, 1.0 - smoothstep(0.0, 1.5 / uZoom, abs(d))); + } + + void main(void) { + if(vVertType == `).concat(E9,`) { + // look up the texel from the texture unit + `).concat(i.map(function(l){return"if(vAtlasId == ".concat(l,") outColor = texture(uTexture").concat(l,", vTexCoord);")}).join(` + else `),` + } + else if(vVertType == `).concat(I9,`) { + // mimics how canvas renderer uses context.globalCompositeOperation = 'destination-out'; + outColor = blend(vColor, uBGColor); + outColor.a = 1.0; // make opaque, masks out line under arrow + } + else if(vVertType == `).concat(Pb,` && vBorderWidth == vec2(0.0)) { // simple rectangle with no border + outColor = vColor; // unit square is already transformed to the rectangle, nothing else needs to be done + } + else if(vVertType == `).concat(Pb," || vVertType == ").concat(qB,` + || vVertType == `).concat(ID," || vVertType == ").concat(YB,`) { // use SDF + + float outerBorder = vBorderWidth[0]; + float innerBorder = vBorderWidth[1]; + float borderPadding = outerBorder * 2.0; + float w = vTopRight.x - vBotLeft.x - borderPadding; + float h = vTopRight.y - vBotLeft.y - borderPadding; + vec2 b = vec2(w/2.0, h/2.0); // half width, half height + vec2 p = vPosition - vec2(vTopRight.x - b[0] - outerBorder, vTopRight.y - b[1] - outerBorder); // translate to center + + float d; // signed distance + if(vVertType == `).concat(Pb,`) { + d = rectangleSD(p, b); + } else if(vVertType == `).concat(qB,` && w == h) { + d = circleSD(p, b.x); // faster than ellipse + } else if(vVertType == `).concat(qB,`) { + d = ellipseSD(p, b); + } else { + d = roundRectangleSD(p, b, vCornerRadius.wzyx); + } + + // use the distance to interpolate a color to smooth the edges of the shape, doesn't need multisampling + // we must smooth colors inwards, because we can't change pixels outside the shape's bounding box + if(d > 0.0) { + if(d > outerBorder) { + discard; + } else { + outColor = distInterp(vBorderColor, vec4(0), d - outerBorder); + } + } else { + if(d > innerBorder) { + vec4 outerColor = outerBorder == 0.0 ? vec4(0) : vBorderColor; + vec4 innerBorderColor = blend(vBorderColor, vColor); + outColor = distInterp(innerBorderColor, outerColor, d); + } + else { + vec4 outerColor; + if(innerBorder == 0.0 && outerBorder == 0.0) { + outerColor = vec4(0); + } else if(innerBorder == 0.0) { + outerColor = vBorderColor; + } else { + outerColor = blend(vBorderColor, vColor); + } + outColor = distInterp(vColor, outerColor, d - innerBorder); + } + } + } + else { + outColor = vColor; + } + + `).concat(n.picking?`if(outColor.a == 0.0) discard; + else outColor = vIndex;`:"",` + } + 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0?arguments[1]:EQ.SCREEN;this.panZoomMatrix=n,this.renderTarget=a,this.batchDebugInfo=[],this.wrappedCount=0,this.simpleCount=0,this.startBatch()}},{key:"startBatch",value:function(){this.instanceCount=0,this.batchManager.startBatch()}},{key:"endFrame",value:function(){this.endBatch()}},{key:"_isVisible",value:function(n,a){return n.visible()?a&&a.isVisible?a.isVisible(n):!0:!1}},{key:"drawTexture",value:function(n,a,r){var i=this.atlasManager,A=this.batchManager,o=i.getRenderTypeOpts(r);if(this._isVisible(n,o)&&!(n.isEdge()&&!this._isValidEdge(n))){if(this.renderTarget.picking&&o.getTexPickingMode){var s=o.getTexPickingMode(n);if(s===y_.IGNORE)return;if(s==y_.USE_BB){this.drawPickingRectangle(n,a,r);return}}var l=i.getAtlasInfo(n,r),d=cs(l),u;try{for(d.s();!(u=d.n()).done;){var g=u.value,p=g.atlas,m=g.tex1,f=g.tex2;A.canAddToCurrentBatch(p)||this.endBatch();for(var b=A.getAtlasIndexForBatch(p),C=0,I=[[m,!0],[f,!1]];C=this.maxInstances&&this.endBatch()}}}}catch(M){d.e(M)}finally{d.f()}}}},{key:"setTransformMatrix",value:function(n,a,r,i){var A=arguments.length>4&&arguments[4]!==void 0?arguments[4]:!0,o=0;if(r.shapeProps&&r.shapeProps.padding&&(o=n.pstyle(r.shapeProps.padding).pfValue),i){var s=i.bb,l=i.tex1,d=i.tex2,u=l.w/(l.w+d.w);A||(u=1-u);var g=this._getAdjustedBB(s,o,A,u);this._applyTransformMatrix(a,g,r,n)}else{var p=r.getBoundingBox(n),m=this._getAdjustedBB(p,o,!0,1);this._applyTransformMatrix(a,m,r,n)}}},{key:"_applyTransformMatrix",value:function(n,a,r,i){var A,o;sce(n);var s=r.getRotation?r.getRotation(i):0;if(s!==0){var l=r.getRotationPoint(i),d=l.x,u=l.y;Zx(n,n,[d,u]),cce(n,n,s);var g=r.getRotationOffset(i);A=g.x+(a.xOffset||0),o=g.y+(a.yOffset||0)}else A=a.x1,o=a.y1;Zx(n,n,[A,o]),i6(n,n,[a.w,a.h])}},{key:"_getAdjustedBB",value:function(n,a,r,i){var A=n.x1,o=n.y1,s=n.w,l=n.h,d=n.yOffset;a&&(A-=a,o-=a,s+=2*a,l+=2*a);var u=0,g=s*i;return r&&i<1?s=g:!r&&i<1&&(u=s-g,A+=u,s=g),{x1:A,y1:o,w:s,h:l,xOffset:u,yOffset:d}}},{key:"drawPickingRectangle",value:function(n,a,r){var i=this.atlasManager.getRenderTypeOpts(r),A=this.instanceCount;this.vertTypeBuffer.getView(A)[0]=Pb;var o=this.indexBuffer.getView(A);Ub(a,o);var s=this.colorBuffer.getView(A);Xm([0,0,0],1,s);var l=this.transformBuffer.getMatrixView(A);this.setTransformMatrix(n,l,i),this.simpleCount++,this.instanceCount++,this.instanceCount>=this.maxInstances&&this.endBatch()}},{key:"drawNode",value:function(n,a,r){var i=this.simpleShapeOptions.get(r);if(this._isVisible(n,i)){var A=i.shapeProps,o=this._getVertTypeForShape(n,A.shape);if(o===void 0||i.isSimple&&!i.isSimple(n)){this.drawTexture(n,a,r);return}var s=this.instanceCount;if(this.vertTypeBuffer.getView(s)[0]=o,o===ID||o===YB){var l=i.getBoundingBox(n),d=this._getCornerRadius(n,A.radius,l),u=this.cornerRadiusBuffer.getView(s);u[0]=d,u[1]=d,u[2]=d,u[3]=d,o===YB&&(u[0]=0,u[2]=0)}var g=this.indexBuffer.getView(s);Ub(a,g);var p=n.pstyle(A.color).value,m=n.pstyle(A.opacity).value,f=this.colorBuffer.getView(s);Xm(p,m,f);var b=this.lineWidthBuffer.getView(s);if(b[0]=0,b[1]=0,A.border){var C=n.pstyle("border-width").value;if(C>0){var I=n.pstyle("border-color").value,B=n.pstyle("border-opacity").value,w=this.borderColorBuffer.getView(s);Xm(I,B,w);var k=n.pstyle("border-position").value;if(k==="inside")b[0]=0,b[1]=-C;else if(k==="outside")b[0]=C,b[1]=0;else{var _=C/2;b[0]=_,b[1]=-_}}}var D=this.transformBuffer.getMatrixView(s);this.setTransformMatrix(n,D,i),this.simpleCount++,this.instanceCount++,this.instanceCount>=this.maxInstances&&this.endBatch()}}},{key:"_getVertTypeForShape",value:function(n,a){var r=n.pstyle(a).value;switch(r){case"rectangle":return Pb;case"ellipse":return qB;case"roundrectangle":case"round-rectangle":return ID;case"bottom-round-rectangle":return YB;default:return}}},{key:"_getCornerRadius",value:function(n,a,r){var i=r.w,A=r.h;if(n.pstyle(a).value==="auto")return Op(i,A);var o=n.pstyle(a).pfValue,s=i/2,l=A/2;return Math.min(o,l,s)}},{key:"drawEdgeArrow",value:function(n,a,r){if(n.visible()){var i=n._private.rscratch,A,o,s;if(r==="source"?(A=i.arrowStartX,o=i.arrowStartY,s=i.srcArrowAngle):(A=i.arrowEndX,o=i.arrowEndY,s=i.tgtArrowAngle),!(isNaN(A)||A==null||isNaN(o)||o==null||isNaN(s)||s==null)){var l=n.pstyle(r+"-arrow-shape").value;if(l!=="none"){var d=n.pstyle(r+"-arrow-color").value,u=n.pstyle("opacity").value,g=n.pstyle("line-opacity").value,p=u*g,m=n.pstyle("width").pfValue,f=n.pstyle("arrow-scale").value,b=this.r.getArrowWidth(m,f),C=this.instanceCount,I=this.transformBuffer.getMatrixView(C);sce(I),Zx(I,I,[A,o]),i6(I,I,[b,b]),cce(I,I,s),this.vertTypeBuffer.getView(C)[0]=I9;var B=this.indexBuffer.getView(C);Ub(a,B);var w=this.colorBuffer.getView(C);Xm(d,p,w),this.instanceCount++,this.instanceCount>=this.maxInstances&&this.endBatch()}}}}},{key:"drawEdgeLine",value:function(n,a){if(n.visible()){var r=this._getEdgePoints(n);if(r){var i=n.pstyle("opacity").value,A=n.pstyle("line-opacity").value,o=n.pstyle("width").pfValue,s=n.pstyle("line-color").value,l=i*A;if(r.length/2+this.instanceCount>this.maxInstances&&this.endBatch(),r.length==4){var d=this.instanceCount;this.vertTypeBuffer.getView(d)[0]=lce;var u=this.indexBuffer.getView(d);Ub(a,u);var g=this.colorBuffer.getView(d);Xm(s,l,g);var p=this.lineWidthBuffer.getView(d);p[0]=o;var m=this.pointAPointBBuffer.getView(d);m[0]=r[0],m[1]=r[1],m[2]=r[2],m[3]=r[3],this.instanceCount++,this.instanceCount>=this.maxInstances&&this.endBatch()}else for(var f=0;f=this.maxInstances&&this.endBatch()}}}}},{key:"_isValidEdge",value:function(n){var a=n._private.rscratch;return!(a.badLine||a.allpts==null||isNaN(a.allpts[0]))}},{key:"_getEdgePoints",value:function(n){var a=n._private.rscratch;if(this._isValidEdge(n)){var r=a.allpts;if(r.length==4)return r;var i=this._getNumSegments(n);return this._getCurveSegmentPoints(r,i)}}},{key:"_getNumSegments",value:function(n){var a=15;return Math.min(Math.max(a,5),this.maxInstances)}},{key:"_getCurveSegmentPoints",value:function(n,a){if(n.length==4)return n;for(var r=Array((a+1)*2),i=0;i<=a;i++)if(i==0)r[0]=n[0],r[1]=n[1];else if(i==a)r[i*2]=n[n.length-2],r[i*2+1]=n[n.length-1];else{var A=i/a;this._setCurvePoint(n,A,r,i*2)}return r}},{key:"_setCurvePoint",value:function(n,a,r,i){if(n.length<=2)r[i]=n[0],r[i+1]=n[1];else{for(var A=Array(n.length-2),o=0;o0}},o=function(u){var g=u.pstyle("text-events").strValue==="yes";return g?y_.USE_BB:y_.IGNORE},s=function(u){var 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l=u0(function(){console.log("garbage collect flag set"),n.data.gc=!0},1e4);n.onUpdateEleCalcs(function(d,u){var g=!1;u&&u.length>0&&(g|=n.drawing.invalidate(u)),g&&l()}),_0t(n)};function S0t(t){var e=t.cy.container(),n=e&&e.style&&e.style.backgroundColor||"white";return Mke(n)}function oDe(t,e){var n=t._private.rscratch;return ns(n,"labelWrapCachedLines",e)||[]}var B9=function(e,n){return function(a){var r=e(a),i=oDe(a,n);return i.length>1?i.map(function(A,o){return"".concat(r,"_").concat(o)}):r}},y9=function(e,n){return function(a,r){var i=e(a);if(typeof r=="string"){var A=r.indexOf("_");if(A>0){var o=Number(r.substring(A+1)),s=oDe(a,n),l=i.h/s.length,d=l*o,u=i.y1+d;return{x1:i.x1,w:i.w,y1:u,h:l,yOffset:d}}}return i}};function _0t(t){{var e=t.render;t.render=function(i){i=i||{};var A=t.cy;t.webgl&&(A.zoom()>$ve?(R0t(t),e.call(t,i)):(N0t(t),cDe(t,i,EQ.SCREEN)))}}{var 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sDe(t,e){var n=t.canvasWidth,a=t.canvasHeight,r=mq(t),i=r.pan,A=r.zoom;e.setTransform(1,0,0,1,0,0),e.clearRect(0,0,n,a),e.translate(i.x,i.y),e.scale(A,A)}function F0t(t,e){t.drawSelectionRectangle(e,function(n){return sDe(t,n)})}function L0t(t){var e=t.data.contexts[t.NODE];e.save(),sDe(t,e),e.strokeStyle="rgba(0, 0, 0, 0.3)",e.beginPath(),e.moveTo(-1e3,0),e.lineTo(1e3,0),e.stroke(),e.beginPath(),e.moveTo(0,-1e3),e.lineTo(0,1e3),e.stroke(),e.restore()}function T0t(t){var e=function(r,i,A){for(var o=r.atlasManager.getAtlasCollection(i),s=t.data.contexts[t.NODE],l=o.atlases,d=0;d=0&&w.add(D)}return w}function O0t(t,e,n){var a=G0t(t,e,n),r=t.getCachedZSortedEles(),i,A,o=cs(a),s;try{for(o.s();!(s=o.n()).done;){var l=s.value,d=r[l];if(!i&&d.isNode()&&(i=d),!A&&d.isEdge()&&(A=d),i&&A)break}}catch(u){o.e(u)}finally{o.f()}return[i,A].filter(Boolean)}function Q9(t,e,n){var a=t.drawing;e+=1,n.isNode()?(a.drawNode(n,e,"node-underlay"),a.drawNode(n,e,"node-body"),a.drawTexture(n,e,"label"),a.drawNode(n,e,"node-overlay")):(a.drawEdgeLine(n,e),a.drawEdgeArrow(n,e,"source"),a.drawEdgeArrow(n,e,"target"),a.drawTexture(n,e,"label"),a.drawTexture(n,e,"edge-source-label"),a.drawTexture(n,e,"edge-target-label"))}function cDe(t,e,n){var a;t.webglDebug&&(a=performance.now());var r=t.drawing,i=0;if(n.screen&&t.data.canvasNeedsRedraw[t.SELECT_BOX]&&F0t(t,e),t.data.canvasNeedsRedraw[t.NODE]||n.picking){var A=t.data.contexts[t.WEBGL];n.screen?(A.clearColor(0,0,0,0),A.enable(A.BLEND),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA)):A.disable(A.BLEND),A.clear(A.COLOR_BUFFER_BIT|A.DEPTH_BUFFER_BIT),A.viewport(0,0,A.canvas.width,A.canvas.height);var o=M0t(t),s=t.getCachedZSortedEles();if(i=s.length,r.startFrame(o,n),n.screen){for(var l=0;l0&&A>0){p.clearRect(0,0,i,A),p.globalCompositeOperation="source-over";var 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f=this.rect.y;f>s.WORLD_BOUNDARY?f=s.WORLD_BOUNDARY:f<-s.WORLD_BOUNDARY&&(f=-s.WORLD_BOUNDARY);var b=new d(m,f),C=p.inverseTransformPoint(b);this.setLocation(C.x,C.y)},u.prototype.getLeft=function(){return this.rect.x},u.prototype.getRight=function(){return this.rect.x+this.rect.width},u.prototype.getTop=function(){return this.rect.y},u.prototype.getBottom=function(){return this.rect.y+this.rect.height},u.prototype.getParent=function(){return this.owner==null?null:this.owner.getParent()},n.exports=u}),(function(n,a,r){function i(A,o){A==null&&o==null?(this.x=0,this.y=0):(this.x=A,this.y=o)}i.prototype.getX=function(){return this.x},i.prototype.getY=function(){return this.y},i.prototype.setX=function(A){this.x=A},i.prototype.setY=function(A){this.y=A},i.prototype.getDifference=function(A){return new DimensionD(this.x-A.x,this.y-A.y)},i.prototype.getCopy=function(){return new i(this.x,this.y)},i.prototype.translate=function(A){return this.x+=A.width,this.y+=A.height,this},n.exports=i}),(function(n,a,r){var i=r(2),A=r(10),o=r(0),s=r(6),l=r(3),d=r(1),u=r(13),g=r(12),p=r(11);function m(b,C,I){i.call(this,I),this.estimatedSize=A.MIN_VALUE,this.margin=o.DEFAULT_GRAPH_MARGIN,this.edges=[],this.nodes=[],this.isConnected=!1,this.parent=b,C!=null&&C instanceof s?this.graphManager=C:C!=null&&C instanceof Layout&&(this.graphManager=C.graphManager)}m.prototype=Object.create(i.prototype);for(var f in i)m[f]=i[f];m.prototype.getNodes=function(){return this.nodes},m.prototype.getEdges=function(){return this.edges},m.prototype.getGraphManager=function(){return this.graphManager},m.prototype.getParent=function(){return this.parent},m.prototype.getLeft=function(){return this.left},m.prototype.getRight=function(){return this.right},m.prototype.getTop=function(){return this.top},m.prototype.getBottom=function(){return this.bottom},m.prototype.isConnected=function(){return this.isConnected},m.prototype.add=function(b,C,I){if(C==null&&I==null){var B=b;if(this.graphManager==null)throw"Graph has no graph mgr!";if(this.getNodes().indexOf(B)>-1)throw"Node already in graph!";return B.owner=this,this.getNodes().push(B),B}else{var w=b;if(!(this.getNodes().indexOf(C)>-1&&this.getNodes().indexOf(I)>-1))throw"Source or target not in graph!";if(!(C.owner==I.owner&&C.owner==this))throw"Both owners must be this graph!";return C.owner!=I.owner?null:(w.source=C,w.target=I,w.isInterGraph=!1,this.getEdges().push(w),C.edges.push(w),I!=C&&I.edges.push(w),w)}},m.prototype.remove=function(b){var C=b;if(b instanceof l){if(C==null)throw"Node is null!";if(!(C.owner!=null&&C.owner==this))throw"Owner graph is invalid!";if(this.graphManager==null)throw"Owner graph manager is invalid!";for(var I=C.edges.slice(),B,w=I.length,k=0;k-1&&x>-1))throw"Source and/or target doesn't know this edge!";B.source.edges.splice(D,1),B.target!=B.source&&B.target.edges.splice(x,1);var _=B.source.owner.getEdges().indexOf(B);if(_==-1)throw"Not in owner's edge list!";B.source.owner.getEdges().splice(_,1)}},m.prototype.updateLeftTop=function(){for(var b=A.MAX_VALUE,C=A.MAX_VALUE,I,B,w,k=this.getNodes(),_=k.length,D=0;D<_;D++){var x=k[D];I=x.getTop(),B=x.getLeft(),b>I&&(b=I),C>B&&(C=B)}return b==A.MAX_VALUE?null:(k[0].getParent().paddingLeft!=null?w=k[0].getParent().paddingLeft:w=this.margin,this.left=C-w,this.top=b-w,new g(this.left,this.top))},m.prototype.updateBounds=function(b){for(var C=A.MAX_VALUE,I=-A.MAX_VALUE,B=A.MAX_VALUE,w=-A.MAX_VALUE,k,_,D,x,S,F=this.nodes,M=F.length,O=0;Ok&&(C=k),I<_&&(I=_),B>D&&(B=D),wk&&(C=k),I<_&&(I=_),B>D&&(B=D),w=this.nodes.length){var M=0;I.forEach(function(O){O.owner==b&&M++}),M==this.nodes.length&&(this.isConnected=!0)}},n.exports=m}),(function(n,a,r){var i,A=r(1);function o(s){i=r(5),this.layout=s,this.graphs=[],this.edges=[]}o.prototype.addRoot=function(){var s=this.layout.newGraph(),l=this.layout.newNode(null),d=this.add(s,l);return this.setRootGraph(d),this.rootGraph},o.prototype.add=function(s,l,d,u,g){if(d==null&&u==null&&g==null){if(s==null)throw"Graph is null!";if(l==null)throw"Parent node is null!";if(this.graphs.indexOf(s)>-1)throw"Graph already in this graph mgr!";if(this.graphs.push(s),s.parent!=null)throw"Already has a parent!";if(l.child!=null)throw"Already has a child!";return s.parent=l,l.child=s,s}else{g=d,u=l,d=s;var p=u.getOwner(),m=g.getOwner();if(!(p!=null&&p.getGraphManager()==this))throw"Source not in this graph mgr!";if(!(m!=null&&m.getGraphManager()==this))throw"Target not in this graph mgr!";if(p==m)return d.isInterGraph=!1,p.add(d,u,g);if(d.isInterGraph=!0,d.source=u,d.target=g,this.edges.indexOf(d)>-1)throw"Edge already in inter-graph edge list!";if(this.edges.push(d),!(d.source!=null&&d.target!=null))throw"Edge source and/or target is null!";if(!(d.source.edges.indexOf(d)==-1&&d.target.edges.indexOf(d)==-1))throw"Edge already in source and/or target incidency list!";return d.source.edges.push(d),d.target.edges.push(d),d}},o.prototype.remove=function(s){if(s instanceof i){var l=s;if(l.getGraphManager()!=this)throw"Graph not in this graph mgr";if(!(l==this.rootGraph||l.parent!=null&&l.parent.graphManager==this))throw"Invalid parent node!";var d=[];d=d.concat(l.getEdges());for(var u,g=d.length,p=0;p=s.getRight()?l[0]+=Math.min(s.getX()-o.getX(),o.getRight()-s.getRight()):s.getX()<=o.getX()&&s.getRight()>=o.getRight()&&(l[0]+=Math.min(o.getX()-s.getX(),s.getRight()-o.getRight())),o.getY()<=s.getY()&&o.getBottom()>=s.getBottom()?l[1]+=Math.min(s.getY()-o.getY(),o.getBottom()-s.getBottom()):s.getY()<=o.getY()&&s.getBottom()>=o.getBottom()&&(l[1]+=Math.min(o.getY()-s.getY(),s.getBottom()-o.getBottom()));var g=Math.abs((s.getCenterY()-o.getCenterY())/(s.getCenterX()-o.getCenterX()));s.getCenterY()===o.getCenterY()&&s.getCenterX()===o.getCenterX()&&(g=1);var p=g*l[0],m=l[1]/g;l[0]p)return l[0]=d,l[1]=f,l[2]=g,l[3]=F,!1;if(ug)return l[0]=m,l[1]=u,l[2]=x,l[3]=p,!1;if(dg?(l[0]=C,l[1]=I,R=!0):(l[0]=b,l[1]=f,R=!0):T===U&&(d>g?(l[0]=m,l[1]=f,R=!0):(l[0]=B,l[1]=I,R=!0)),-L===U?g>d?(l[2]=S,l[3]=F,G=!0):(l[2]=x,l[3]=D,G=!0):L===U&&(g>d?(l[2]=_,l[3]=D,G=!0):(l[2]=M,l[3]=F,G=!0)),R&&G)return!1;if(d>g?u>p?(H=this.getCardinalDirection(T,U,4),q=this.getCardinalDirection(L,U,2)):(H=this.getCardinalDirection(-T,U,3),q=this.getCardinalDirection(-L,U,1)):u>p?(H=this.getCardinalDirection(-T,U,1),q=this.getCardinalDirection(-L,U,3)):(H=this.getCardinalDirection(T,U,2),q=this.getCardinalDirection(L,U,4)),!R)switch(H){case 1:j=f,P=d+-k/U,l[0]=P,l[1]=j;break;case 2:P=B,j=u+w*U,l[0]=P,l[1]=j;break;case 3:j=I,P=d+k/U,l[0]=P,l[1]=j;break;case 4:P=C,j=u+-w*U,l[0]=P,l[1]=j;break}if(!G)switch(q){case 1:$=D,Z=g+-K/U,l[2]=Z,l[3]=$;break;case 2:Z=M,$=p+O*U,l[2]=Z,l[3]=$;break;case 3:$=F,Z=g+K/U,l[2]=Z,l[3]=$;break;case 4:Z=S,$=p+-O*U,l[2]=Z,l[3]=$;break}}return!1},A.getCardinalDirection=function(o,s,l){return o>s?l:1+l%4},A.getIntersection=function(o,s,l,d){if(d==null)return this.getIntersection2(o,s,l);var u=o.x,g=o.y,p=s.x,m=s.y,f=l.x,b=l.y,C=d.x,I=d.y,B=void 0,w=void 0,k=void 0,_=void 0,D=void 0,x=void 0,S=void 0,F=void 0,M=void 0;return k=m-g,D=u-p,S=p*g-u*m,_=I-b,x=f-C,F=C*b-f*I,M=k*x-_*D,M===0?null:(B=(D*F-x*S)/M,w=(_*S-k*F)/M,new i(B,w))},A.angleOfVector=function(o,s,l,d){var u=void 0;return o!==l?(u=Math.atan((d-s)/(l-o)),l0?1:A<0?-1:0},i.floor=function(A){return A<0?Math.ceil(A):Math.floor(A)},i.ceil=function(A){return A<0?Math.floor(A):Math.ceil(A)},n.exports=i}),(function(n,a,r){function i(){}i.MAX_VALUE=2147483647,i.MIN_VALUE=-2147483648,n.exports=i}),(function(n,a,r){var i=(function(){function u(g,p){for(var m=0;m"u"?"undefined":i(o);return o==null||s!="object"&&s!="function"},n.exports=A}),(function(n,a,r){function i(f){if(Array.isArray(f)){for(var b=0,C=Array(f.length);b0&&b;){for(k.push(D[0]);k.length>0&&b;){var x=k[0];k.splice(0,1),w.add(x);for(var S=x.getEdges(),B=0;B-1&&D.splice(K,1)}w=new Set,_=new Map}}return f},m.prototype.createDummyNodesForBendpoints=function(f){for(var b=[],C=f.source,I=this.graphManager.calcLowestCommonAncestor(f.source,f.target),B=0;B0){for(var I=this.edgeToDummyNodes.get(C),B=0;B=0&&b.splice(F,1);var M=_.getNeighborsList();M.forEach(function(R){if(C.indexOf(R)<0){var G=I.get(R),T=G-1;T==1&&x.push(R),I.set(R,T)}})}C=C.concat(x),(b.length==1||b.length==2)&&(B=!0,w=b[0])}return w},m.prototype.setGraphManager=function(f){this.graphManager=f},n.exports=m}),(function(n,a,r){function i(){}i.seed=1,i.x=0,i.nextDouble=function(){return i.x=Math.sin(i.seed++)*1e4,i.x-Math.floor(i.x)},n.exports=i}),(function(n,a,r){var i=r(4);function A(o,s){this.lworldOrgX=0,this.lworldOrgY=0,this.ldeviceOrgX=0,this.ldeviceOrgY=0,this.lworldExtX=1,this.lworldExtY=1,this.ldeviceExtX=1,this.ldeviceExtY=1}A.prototype.getWorldOrgX=function(){return this.lworldOrgX},A.prototype.setWorldOrgX=function(o){this.lworldOrgX=o},A.prototype.getWorldOrgY=function(){return this.lworldOrgY},A.prototype.setWorldOrgY=function(o){this.lworldOrgY=o},A.prototype.getWorldExtX=function(){return this.lworldExtX},A.prototype.setWorldExtX=function(o){this.lworldExtX=o},A.prototype.getWorldExtY=function(){return this.lworldExtY},A.prototype.setWorldExtY=function(o){this.lworldExtY=o},A.prototype.getDeviceOrgX=function(){return this.ldeviceOrgX},A.prototype.setDeviceOrgX=function(o){this.ldeviceOrgX=o},A.prototype.getDeviceOrgY=function(){return this.ldeviceOrgY},A.prototype.setDeviceOrgY=function(o){this.ldeviceOrgY=o},A.prototype.getDeviceExtX=function(){return this.ldeviceExtX},A.prototype.setDeviceExtX=function(o){this.ldeviceExtX=o},A.prototype.getDeviceExtY=function(){return this.ldeviceExtY},A.prototype.setDeviceExtY=function(o){this.ldeviceExtY=o},A.prototype.transformX=function(o){var s=0,l=this.lworldExtX;return l!=0&&(s=this.ldeviceOrgX+(o-this.lworldOrgX)*this.ldeviceExtX/l),s},A.prototype.transformY=function(o){var s=0,l=this.lworldExtY;return l!=0&&(s=this.ldeviceOrgY+(o-this.lworldOrgY)*this.ldeviceExtY/l),s},A.prototype.inverseTransformX=function(o){var s=0,l=this.ldeviceExtX;return l!=0&&(s=this.lworldOrgX+(o-this.ldeviceOrgX)*this.lworldExtX/l),s},A.prototype.inverseTransformY=function(o){var s=0,l=this.ldeviceExtY;return l!=0&&(s=this.lworldOrgY+(o-this.ldeviceOrgY)*this.lworldExtY/l),s},A.prototype.inverseTransformPoint=function(o){var s=new i(this.inverseTransformX(o.x),this.inverseTransformY(o.y));return s},n.exports=A}),(function(n,a,r){function i(p){if(Array.isArray(p)){for(var m=0,f=Array(p.length);mo.ADAPTATION_LOWER_NODE_LIMIT&&(this.coolingFactor=Math.max(this.coolingFactor*o.COOLING_ADAPTATION_FACTOR,this.coolingFactor-(p-o.ADAPTATION_LOWER_NODE_LIMIT)/(o.ADAPTATION_UPPER_NODE_LIMIT-o.ADAPTATION_LOWER_NODE_LIMIT)*this.coolingFactor*(1-o.COOLING_ADAPTATION_FACTOR))),this.maxNodeDisplacement=o.MAX_NODE_DISPLACEMENT_INCREMENTAL):(p>o.ADAPTATION_LOWER_NODE_LIMIT?this.coolingFactor=Math.max(o.COOLING_ADAPTATION_FACTOR,1-(p-o.ADAPTATION_LOWER_NODE_LIMIT)/(o.ADAPTATION_UPPER_NODE_LIMIT-o.ADAPTATION_LOWER_NODE_LIMIT)*(1-o.COOLING_ADAPTATION_FACTOR)):this.coolingFactor=1,this.initialCoolingFactor=this.coolingFactor,this.maxNodeDisplacement=o.MAX_NODE_DISPLACEMENT),this.maxIterations=Math.max(this.getAllNodes().length*5,this.maxIterations),this.totalDisplacementThreshold=this.displacementThresholdPerNode*this.getAllNodes().length,this.repulsionRange=this.calcRepulsionRange()},u.prototype.calcSpringForces=function(){for(var p=this.getAllEdges(),m,f=0;f0&&arguments[0]!==void 0?arguments[0]:!0,m=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1,f,b,C,I,B=this.getAllNodes(),w;if(this.useFRGridVariant)for(this.totalIterations%o.GRID_CALCULATION_CHECK_PERIOD==1&&p&&this.updateGrid(),w=new Set,f=0;fk||w>k)&&(p.gravitationForceX=-this.gravityConstant*C,p.gravitationForceY=-this.gravityConstant*I)):(k=m.getEstimatedSize()*this.compoundGravityRangeFactor,(B>k||w>k)&&(p.gravitationForceX=-this.gravityConstant*C*this.compoundGravityConstant,p.gravitationForceY=-this.gravityConstant*I*this.compoundGravityConstant))},u.prototype.isConverged=function(){var p,m=!1;return this.totalIterations>this.maxIterations/3&&(m=Math.abs(this.totalDisplacement-this.oldTotalDisplacement)<2),p=this.totalDisplacement=B.length||k>=B[0].length)){for(var _=0;_u}}]),l})();n.exports=s}),(function(n,a,r){var i=(function(){function s(l,d){for(var u=0;u2&&arguments[2]!==void 0?arguments[2]:1,g=arguments.length>3&&arguments[3]!==void 0?arguments[3]:-1,p=arguments.length>4&&arguments[4]!==void 0?arguments[4]:-1;A(this,s),this.sequence1=l,this.sequence2=d,this.match_score=u,this.mismatch_penalty=g,this.gap_penalty=p,this.iMax=l.length+1,this.jMax=d.length+1,this.grid=new Array(this.iMax);for(var m=0;m=0;l--){var d=this.listeners[l];d.event===o&&d.callback===s&&this.listeners.splice(l,1)}},A.emit=function(o,s){for(var l=0;ld.coolingFactor*d.maxNodeDisplacement&&(this.displacementX=d.coolingFactor*d.maxNodeDisplacement*o.sign(this.displacementX)),Math.abs(this.displacementY)>d.coolingFactor*d.maxNodeDisplacement&&(this.displacementY=d.coolingFactor*d.maxNodeDisplacement*o.sign(this.displacementY)),this.child==null?this.moveBy(this.displacementX,this.displacementY):this.child.getNodes().length==0?this.moveBy(this.displacementX,this.displacementY):this.propogateDisplacementToChildren(this.displacementX,this.displacementY),d.totalDisplacement+=Math.abs(this.displacementX)+Math.abs(this.displacementY),this.springForceX=0,this.springForceY=0,this.repulsionForceX=0,this.repulsionForceY=0,this.gravitationForceX=0,this.gravitationForceY=0,this.displacementX=0,this.displacementY=0},s.prototype.propogateDisplacementToChildren=function(d,u){for(var g=this.getChild().getNodes(),p,m=0;m0)this.positionNodesRadially(D);else{this.reduceTrees(),this.graphManager.resetAllNodesToApplyGravitation();var x=new Set(this.getAllNodes()),S=this.nodesWithGravity.filter(function(F){return x.has(F)});this.graphManager.setAllNodesToApplyGravitation(S),this.positionNodesRandomly()}}return this.initSpringEmbedder(),this.runSpringEmbedder(),!0},k.prototype.tick=function(){if(this.totalIterations++,this.totalIterations===this.maxIterations&&!this.isTreeGrowing&&!this.isGrowthFinished)if(this.prunedNodesAll.length>0)this.isTreeGrowing=!0;else return!0;if(this.totalIterations%g.CONVERGENCE_CHECK_PERIOD==0&&!this.isTreeGrowing&&!this.isGrowthFinished){if(this.isConverged())if(this.prunedNodesAll.length>0)this.isTreeGrowing=!0;else return!0;this.coolingCycle++,this.layoutQuality==0?this.coolingAdjuster=this.coolingCycle:this.layoutQuality==1&&(this.coolingAdjuster=this.coolingCycle/3),this.coolingFactor=Math.max(this.initialCoolingFactor-Math.pow(this.coolingCycle,Math.log(100*(this.initialCoolingFactor-this.finalTemperature))/Math.log(this.maxCoolingCycle))/100*this.coolingAdjuster,this.finalTemperature),this.animationPeriod=Math.ceil(this.initialAnimationPeriod*Math.sqrt(this.coolingFactor))}if(this.isTreeGrowing){if(this.growTreeIterations%10==0)if(this.prunedNodesAll.length>0){this.graphManager.updateBounds(),this.updateGrid(),this.growTree(this.prunedNodesAll),this.graphManager.resetAllNodesToApplyGravitation();var D=new Set(this.getAllNodes()),x=this.nodesWithGravity.filter(function(M){return D.has(M)});this.graphManager.setAllNodesToApplyGravitation(x),this.graphManager.updateBounds(),this.updateGrid(),this.coolingFactor=g.DEFAULT_COOLING_FACTOR_INCREMENTAL}else this.isTreeGrowing=!1,this.isGrowthFinished=!0;this.growTreeIterations++}if(this.isGrowthFinished){if(this.isConverged())return!0;this.afterGrowthIterations%10==0&&(this.graphManager.updateBounds(),this.updateGrid()),this.coolingFactor=g.DEFAULT_COOLING_FACTOR_INCREMENTAL*((100-this.afterGrowthIterations)/100),this.afterGrowthIterations++}var S=!this.isTreeGrowing&&!this.isGrowthFinished,F=this.growTreeIterations%10==1&&this.isTreeGrowing||this.afterGrowthIterations%10==1&&this.isGrowthFinished;return this.totalDisplacement=0,this.graphManager.updateBounds(),this.calcSpringForces(),this.calcRepulsionForces(S,F),this.calcGravitationalForces(),this.moveNodes(),this.animate(),!1},k.prototype.getPositionsData=function(){for(var D=this.graphManager.getAllNodes(),x={},S=0;S1){var R;for(R=0;RF&&(F=Math.floor(K.y)),O=Math.floor(K.x+u.DEFAULT_COMPONENT_SEPERATION)}this.transform(new f(p.WORLD_CENTER_X-K.x/2,p.WORLD_CENTER_Y-K.y/2))},k.radialLayout=function(D,x,S){var F=Math.max(this.maxDiagonalInTree(D),u.DEFAULT_RADIAL_SEPARATION);k.branchRadialLayout(x,null,0,359,0,F);var M=B.calculateBounds(D),O=new w;O.setDeviceOrgX(M.getMinX()),O.setDeviceOrgY(M.getMinY()),O.setWorldOrgX(S.x),O.setWorldOrgY(S.y);for(var K=0;K1;){var $=Z[0];Z.splice(0,1);var X=U.indexOf($);X>=0&&U.splice(X,1),P--,H--}x!=null?j=(U.indexOf(Z[0])+1)%P:j=0;for(var ce=Math.abs(F-S)/H,te=j;q!=H;te=++te%P){var he=U[te].getOtherEnd(D);if(he!=x){var ae=(S+q*ce)%360,se=(ae+ce)%360;k.branchRadialLayout(he,D,ae,se,M+O,O),q++}}},k.maxDiagonalInTree=function(D){for(var x=C.MIN_VALUE,S=0;Sx&&(x=M)}return x},k.prototype.calcRepulsionRange=function(){return 2*(this.level+1)*this.idealEdgeLength},k.prototype.groupZeroDegreeMembers=function(){var D=this,x={};this.memberGroups={},this.idToDummyNode={};for(var S=[],F=this.graphManager.getAllNodes(),M=0;M"u"&&(x[R]=[]),x[R]=x[R].concat(O)}Object.keys(x).forEach(function(G){if(x[G].length>1){var T="DummyCompound_"+G;D.memberGroups[T]=x[G];var L=x[G][0].getParent(),U=new l(D.graphManager);U.id=T,U.paddingLeft=L.paddingLeft||0,U.paddingRight=L.paddingRight||0,U.paddingBottom=L.paddingBottom||0,U.paddingTop=L.paddingTop||0,D.idToDummyNode[T]=U;var H=D.getGraphManager().add(D.newGraph(),U),q=L.getChild();q.add(U);for(var P=0;P=0;D--){var x=this.compoundOrder[D],S=x.id,F=x.paddingLeft,M=x.paddingTop;this.adjustLocations(this.tiledMemberPack[S],x.rect.x,x.rect.y,F,M)}},k.prototype.repopulateZeroDegreeMembers=function(){var D=this,x=this.tiledZeroDegreePack;Object.keys(x).forEach(function(S){var F=D.idToDummyNode[S],M=F.paddingLeft,O=F.paddingTop;D.adjustLocations(x[S],F.rect.x,F.rect.y,M,O)})},k.prototype.getToBeTiled=function(D){var x=D.id;if(this.toBeTiled[x]!=null)return this.toBeTiled[x];var S=D.getChild();if(S==null)return this.toBeTiled[x]=!1,!1;for(var F=S.getNodes(),M=0;M0)return this.toBeTiled[x]=!1,!1;if(O.getChild()==null){this.toBeTiled[O.id]=!1;continue}if(!this.getToBeTiled(O))return this.toBeTiled[x]=!1,!1}return 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0,cnt:0},d6(t.db.getConfig())}bumpLastMargin(t){this.data.stopx+=t,this.data.stopy+=t}},d6=v(function(t){Si(Nn,t),t.fontFamily&&(Nn.personFontFamily=Nn.systemFontFamily=Nn.messageFontFamily=t.fontFamily),t.fontSize&&(Nn.personFontSize=Nn.systemFontSize=Nn.messageFontSize=t.fontSize),t.fontWeight&&(Nn.personFontWeight=Nn.systemFontWeight=Nn.messageFontWeight=t.fontWeight)},"setConf"),jB=v((t,e)=>({fontFamily:t[e+"FontFamily"],fontSize:t[e+"FontSize"],fontWeight:t[e+"FontWeight"]}),"c4ShapeFont"),e1=v(t=>({fontFamily:t.boundaryFontFamily,fontSize:t.boundaryFontSize,fontWeight:t.boundaryFontWeight}),"boundaryFont"),zkt=v(t=>({fontFamily:t.messageFontFamily,fontSize:t.messageFontSize,fontWeight:t.messageFontWeight}),"messageFont");function xc(t,e,n,a,r){if(!e[t].width)if(n)e[t].text=vbe(e[t].text,r,a),e[t].textLines=e[t].text.split(en.lineBreakRegex).length,e[t].width=r,e[t].height=hS(e[t].text,a);else{let i=e[t].text.split(en.lineBreakRegex);e[t].textLines=i.length;let 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o=jB(Nn,A.typeC4Shape.text);switch(o.fontSize=o.fontSize-2,A.typeC4Shape.width=Do("«"+A.typeC4Shape.text+"»",o),A.typeC4Shape.height=o.fontSize+2,A.typeC4Shape.Y=Nn.c4ShapePadding,r=A.typeC4Shape.Y+A.typeC4Shape.height-4,A.image={width:0,height:0,Y:0},A.typeC4Shape.text){case"person":case"external_person":A.image.width=48,A.image.height=48,A.image.Y=r,r=A.image.Y+A.image.height;break}A.sprite&&(A.image.width=48,A.image.height=48,A.image.Y=r,r=A.image.Y+A.image.height);let s=A.wrap&&Nn.wrap,l=Nn.width-Nn.c4ShapePadding*2,d=jB(Nn,A.typeC4Shape.text);if(d.fontSize=d.fontSize+2,d.fontWeight="bold",xc("label",A,s,d,l),A.label.Y=r+8,r=A.label.Y+A.label.height,A.type&&A.type.text!==""){A.type.text="["+A.type.text+"]";let p=jB(Nn,A.typeC4Shape.text);xc("type",A,s,p,l),A.type.Y=r+5,r=A.type.Y+A.type.height}else if(A.techn&&A.techn.text!==""){A.techn.text="["+A.techn.text+"]";let p=jB(Nn,A.techn.text);xc("techn",A,s,p,l),A.techn.Y=r+5,r=A.techn.Y+A.techn.height}let u=r,g=A.label.width;if(A.descr&&A.descr.text!==""){let p=jB(Nn,A.typeC4Shape.text);xc("descr",A,s,p,l),A.descr.Y=r+20,r=A.descr.Y+A.descr.height,g=Math.max(A.label.width,A.descr.width),u=r-A.descr.textLines*5}g=g+Nn.c4ShapePadding,A.width=Math.max(A.width||Nn.width,g,Nn.width),A.height=Math.max(A.height||Nn.height,u,Nn.height),A.margin=A.margin||Nn.c4ShapeMargin,t.insert(A),rd.drawC4Shape(e,A,Nn)}t.bumpLastMargin(Nn.c4ShapeMargin)},"drawC4ShapeArray"),dc=class{static{v(this,"Point")}constructor(e,n){this.x=e,this.y=n}},bce=v(function(t,e){let n=t.x,a=t.y,r=e.x,i=e.y,A=n+t.width/2,o=a+t.height/2,s=Math.abs(n-r),l=Math.abs(a-i),d=l/s,u=t.height/t.width,g=null;return a==i&&nr?g=new dc(n,o):n==r&&ai&&(g=new dc(A,a)),n>r&&a=d?g=new dc(n,o+d*t.width/2):g=new dc(A-s/l*t.height/2,a+t.height):n=d?g=new dc(n+t.width,o+d*t.width/2):g=new dc(A+s/l*t.height/2,a+t.height):ni?u>=d?g=new dc(n+t.width,o-d*t.width/2):g=new dc(A+t.height/2*s/l,a):n>r&&a>i&&(u>=d?g=new dc(n,o-t.width/2*d):g=new dc(A-t.height/2*s/l,a)),g},"getIntersectPoint"),Jkt=v(function(t,e){let n={x:0,y:0};n.x=e.x+e.width/2,n.y=e.y+e.height/2;let a=bce(t,n);n.x=t.x+t.width/2,n.y=t.y+t.height/2;let r=bce(e,n);return{startPoint:a,endPoint:r}},"getIntersectPoints"),Wkt=v(function(t,e,n,a){let r=0;for(let i of e){r=r+1;let A=i.wrap&&Nn.wrap,o=zkt(Nn);a.db.getC4Type()==="C4Dynamic"&&(i.label.text=r+": "+i.label.text);let l=Do(i.label.text,o);xc("label",i,A,o,l),i.techn&&i.techn.text!==""&&(l=Do(i.techn.text,o),xc("techn",i,A,o,l)),i.descr&&i.descr.text!==""&&(l=Do(i.descr.text,o),xc("descr",i,A,o,l));let d=n(i.from),u=n(i.to),g=Jkt(d,u);i.startPoint=g.startPoint,i.endPoint=g.endPoint}rd.drawRels(t,e,Nn)},"drawRels");function Bq(t,e,n,a,r){let i=new _De(r);i.data.widthLimit=n.data.widthLimit/Math.min(l6,a.length);for(let[A,o]of a.entries()){let s=0;o.image={width:0,height:0,Y:0},o.sprite&&(o.image.width=48,o.image.height=48,o.image.Y=s,s=o.image.Y+o.image.height);let l=o.wrap&&Nn.wrap,d=e1(Nn);if(d.fontSize=d.fontSize+2,d.fontWeight="bold",xc("label",o,l,d,i.data.widthLimit),o.label.Y=s+8,s=o.label.Y+o.label.height,o.type&&o.type.text!==""){o.type.text="["+o.type.text+"]";let m=e1(Nn);xc("type",o,l,m,i.data.widthLimit),o.type.Y=s+5,s=o.type.Y+o.type.height}if(o.descr&&o.descr.text!==""){let m=e1(Nn);m.fontSize=m.fontSize-2,xc("descr",o,l,m,i.data.widthLimit),o.descr.Y=s+20,s=o.descr.Y+o.descr.height}if(A==0||A%l6===0){let m=n.data.startx+Nn.diagramMarginX,f=n.data.stopy+Nn.diagramMarginY+s;i.setData(m,m,f,f)}else{let m=i.data.stopx!==i.data.startx?i.data.stopx+Nn.diagramMarginX:i.data.startx,f=i.data.starty;i.setData(m,m,f,f)}i.name=o.alias;let u=r.db.getC4ShapeArray(o.alias),g=r.db.getC4ShapeKeys(o.alias);g.length>0&&NDe(i,t,u,g),e=o.alias;let p=r.db.getBoundaries(e);p.length>0&&Bq(t,e,i,p,r),o.alias!=="global"&&RDe(t,o,i),n.data.stopy=Math.max(i.data.stopy+Nn.c4ShapeMargin,n.data.stopy),n.data.stopx=Math.max(i.data.stopx+Nn.c4ShapeMargin,n.data.stopx),D_=Math.max(D_,n.data.stopx),x_=Math.max(x_,n.data.stopy)}}v(Bq,"drawInsideBoundary");var Zkt=v(function(t,e,n,a){Nn=Xe().c4;const r=Xe().securityLevel;let i;r==="sandbox"&&(i=Jt("#i"+e));const A=Jt(r==="sandbox"?i.nodes()[0].contentDocument.body:"body");let o=a.db;a.db.setWrap(Nn.wrap),SDe=o.getC4ShapeInRow(),l6=o.getC4BoundaryInRow(),Be.debug(`C:${JSON.stringify(Nn,null,2)}`);const s=r==="sandbox"?A.select(`[id="${e}"]`):Jt(`[id="${e}"]`);rd.insertComputerIcon(s),rd.insertDatabaseIcon(s),rd.insertClockIcon(s);let l=new _De(a);l.setData(Nn.diagramMarginX,Nn.diagramMarginX,Nn.diagramMarginY,Nn.diagramMarginY),l.data.widthLimit=screen.availWidth,D_=Nn.diagramMarginX,x_=Nn.diagramMarginY;const d=a.db.getTitle();let u=a.db.getBoundaries("");Bq(s,"",l,u,a),rd.insertArrowHead(s),rd.insertArrowEnd(s),rd.insertArrowCrossHead(s),rd.insertArrowFilledHead(s),Wkt(s,a.db.getRels(),a.db.getC4Shape,a),l.data.stopx=D_,l.data.stopy=x_;const g=l.data;let m=g.stopy-g.starty+2*Nn.diagramMarginY;const b=g.stopx-g.startx+2*Nn.diagramMarginX;d&&s.append("text").text(d).attr("x",(g.stopx-g.startx)/2-4*Nn.diagramMarginX).attr("y",g.starty+Nn.diagramMarginY),Go(s,m,b,Nn.useMaxWidth);const C=d?60:0;s.attr("viewBox",g.startx-Nn.diagramMarginX+" -"+(Nn.diagramMarginY+C)+" "+b+" "+(m+C)),Be.debug("models:",g)},"draw"),Cce={drawPersonOrSystemArray:NDe,drawBoundary:RDe,setConf:d6,draw:Zkt},Vkt=v(t=>`.person { + stroke: ${t.personBorder}; + fill: ${t.personBkg}; + } +`,"getStyles"),Xkt=Vkt,$kt={parser:Akt,db:c6,renderer:Cce,styles:Xkt,init:v(({c4:t,wrap:e})=>{Cce.setConf(t),c6.setWrap(e)},"init")};const evt=Object.freeze(Object.defineProperty({__proto__:null,diagram:$kt},Symbol.toStringTag,{value:"Module"}));var C0=v(()=>` + /* Font Awesome icon styling - consolidated */ + .label-icon { + display: inline-block; + height: 1em; + overflow: visible; + vertical-align: -0.125em; + } + + .node .label-icon path { + fill: currentColor; + stroke: revert; + stroke-width: revert; + } +`,"getIconStyles"),AI=v((t,e)=>{let n;return e==="sandbox"&&(n=Jt("#i"+t)),Jt(e==="sandbox"?n.nodes()[0].contentDocument.body:"body").select(`[id="${t}"]`)},"getDiagramElement"),xf=v((t,e,n,a)=>{t.attr("class",n);const{width:r,height:i,x:A,y:o}=tvt(t,e);Go(t,i,r,a);const s=nvt(A,o,r,i,e);t.attr("viewBox",s),Be.debug(`viewBox configured: ${s} with padding: ${e}`)},"setupViewPortForSVG"),tvt=v((t,e)=>{const n=t.node()?.getBBox()||{width:0,height:0,x:0,y:0};return{width:n.width+e*2,height:n.height+e*2,x:n.x,y:n.y}},"calculateDimensionsWithPadding"),nvt=v((t,e,n,a,r)=>`${t-r} ${e-r} ${n} ${a}`,"createViewBox"),avt="flowchart-",rvt=class{constructor(){this.vertexCounter=0,this.config=Xe(),this.vertices=new Map,this.edges=[],this.classes=new Map,this.subGraphs=[],this.subGraphLookup=new Map,this.tooltips=new Map,this.subCount=0,this.firstGraphFlag=!0,this.secCount=-1,this.posCrossRef=[],this.funs=[],this.setAccTitle=Yi,this.setAccDescription=lA,this.setDiagramTitle=QA,this.getAccTitle=cA,this.getAccDescription=dA,this.getDiagramTitle=zi,this.funs.push(this.setupToolTips.bind(this)),this.addVertex=this.addVertex.bind(this),this.firstGraph=this.firstGraph.bind(this),this.setDirection=this.setDirection.bind(this),this.addSubGraph=this.addSubGraph.bind(this),this.addLink=this.addLink.bind(this),this.setLink=this.setLink.bind(this),this.updateLink=this.updateLink.bind(this),this.addClass=this.addClass.bind(this),this.setClass=this.setClass.bind(this),this.destructLink=this.destructLink.bind(this),this.setClickEvent=this.setClickEvent.bind(this),this.setTooltip=this.setTooltip.bind(this),this.updateLinkInterpolate=this.updateLinkInterpolate.bind(this),this.setClickFun=this.setClickFun.bind(this),this.bindFunctions=this.bindFunctions.bind(this),this.lex={firstGraph:this.firstGraph.bind(this)},this.clear(),this.setGen("gen-2")}static{v(this,"FlowDB")}sanitizeText(t){return en.sanitizeText(t,this.config)}lookUpDomId(t){for(const e of this.vertices.values())if(e.id===t)return e.domId;return t}addVertex(t,e,n,a,r,i,A={},o){if(!t||t.trim().length===0)return;let s;if(o!==void 0){let g;o.includes(` +`)?g=o+` +`:g=`{ +`+o+` +}`,s=T2(g,{schema:L2})}const l=this.edges.find(g=>g.id===t);if(l){const g=s;g?.animate!==void 0&&(l.animate=g.animate),g?.animation!==void 0&&(l.animation=g.animation),g?.curve!==void 0&&(l.interpolate=g.curve);return}let d,u=this.vertices.get(t);if(u===void 0&&(u={id:t,labelType:"text",domId:avt+t+"-"+this.vertexCounter,styles:[],classes:[]},this.vertices.set(t,u)),this.vertexCounter++,e!==void 0?(this.config=Xe(),d=this.sanitizeText(e.text.trim()),u.labelType=e.type,d.startsWith('"')&&d.endsWith('"')&&(d=d.substring(1,d.length-1)),u.text=d):u.text===void 0&&(u.text=t),n!==void 0&&(u.type=n),a?.forEach(g=>{u.styles.push(g)}),r?.forEach(g=>{u.classes.push(g)}),i!==void 0&&(u.dir=i),u.props===void 0?u.props=A:A!==void 0&&Object.assign(u.props,A),s!==void 0){if(s.shape){if(s.shape!==s.shape.toLowerCase()||s.shape.includes("_"))throw new Error(`No such shape: ${s.shape}. Shape names should be lowercase.`);if(!xEe(s.shape))throw new Error(`No such shape: ${s.shape}.`);u.type=s?.shape}s?.label&&(u.text=s?.label),s?.icon&&(u.icon=s?.icon,!s.label?.trim()&&u.text===t&&(u.text="")),s?.form&&(u.form=s?.form),s?.pos&&(u.pos=s?.pos),s?.img&&(u.img=s?.img,!s.label?.trim()&&u.text===t&&(u.text="")),s?.constraint&&(u.constraint=s.constraint),s.w&&(u.assetWidth=Number(s.w)),s.h&&(u.assetHeight=Number(s.h))}}addSingleLink(t,e,n,a){const A={start:t,end:e,type:void 0,text:"",labelType:"text",classes:[],isUserDefinedId:!1,interpolate:this.edges.defaultInterpolate};Be.info("abc78 Got edge...",A);const o=n.text;if(o!==void 0&&(A.text=this.sanitizeText(o.text.trim()),A.text.startsWith('"')&&A.text.endsWith('"')&&(A.text=A.text.substring(1,A.text.length-1)),A.labelType=o.type),n!==void 0&&(A.type=n.type,A.stroke=n.stroke,A.length=n.length>10?10:n.length),a&&!this.edges.some(s=>s.id===a))A.id=a,A.isUserDefinedId=!0;else{const s=this.edges.filter(l=>l.start===A.start&&l.end===A.end);s.length===0?A.id=EC(A.start,A.end,{counter:0,prefix:"L"}):A.id=EC(A.start,A.end,{counter:s.length+1,prefix:"L"})}if(this.edges.length<(this.config.maxEdges??500))Be.info("Pushing edge..."),this.edges.push(A);else throw new Error(`Edge limit exceeded. ${this.edges.length} edges found, but the limit is ${this.config.maxEdges}. + +Initialize mermaid with maxEdges set to a higher number to allow more edges. +You cannot set this config via configuration inside the diagram as it is a secure config. +You have to call mermaid.initialize.`)}isLinkData(t){return t!==null&&typeof t=="object"&&"id"in t&&typeof t.id=="string"}addLink(t,e,n){const a=this.isLinkData(n)?n.id.replace("@",""):void 0;Be.info("addLink",t,e,a);for(const r of t)for(const i of e){const A=r===t[t.length-1],o=i===e[0];A&&o?this.addSingleLink(r,i,n,a):this.addSingleLink(r,i,n,void 0)}}updateLinkInterpolate(t,e){t.forEach(n=>{n==="default"?this.edges.defaultInterpolate=e:this.edges[n].interpolate=e})}updateLink(t,e){t.forEach(n=>{if(typeof n=="number"&&n>=this.edges.length)throw new Error(`The index ${n} for linkStyle is out of bounds. 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58:this.$=Le[Te-5],xt.addVertex(Le[Te-5],Le[Te-2],"circle");break;case 59:this.$=Le[Te-3],xt.addVertex(Le[Te-3],Le[Te-1],"ellipse");break;case 60:this.$=Le[Te-3],xt.addVertex(Le[Te-3],Le[Te-1],"stadium");break;case 61:this.$=Le[Te-3],xt.addVertex(Le[Te-3],Le[Te-1],"subroutine");break;case 62:this.$=Le[Te-7],xt.addVertex(Le[Te-7],Le[Te-1],"rect",void 0,void 0,void 0,Object.fromEntries([[Le[Te-5],Le[Te-3]]]));break;case 63:this.$=Le[Te-3],xt.addVertex(Le[Te-3],Le[Te-1],"cylinder");break;case 64:this.$=Le[Te-3],xt.addVertex(Le[Te-3],Le[Te-1],"round");break;case 65:this.$=Le[Te-3],xt.addVertex(Le[Te-3],Le[Te-1],"diamond");break;case 66:this.$=Le[Te-5],xt.addVertex(Le[Te-5],Le[Te-2],"hexagon");break;case 67:this.$=Le[Te-3],xt.addVertex(Le[Te-3],Le[Te-1],"odd");break;case 68:this.$=Le[Te-3],xt.addVertex(Le[Te-3],Le[Te-1],"trapezoid");break;case 69:this.$=Le[Te-3],xt.addVertex(Le[Te-3],Le[Te-1],"inv_trapezoid");break;case 70:this.$=Le[Te-3],xt.addVertex(Le[Te-3],Le[Te-1],"lean_right");break;case 71:this.$=Le[Te-3],xt.addVertex(Le[Te-3],Le[Te-1],"lean_left");break;case 72:this.$=Le[Te],xt.addVertex(Le[Te]);break;case 73:Le[Te-1].text=Le[Te],this.$=Le[Te-1];break;case 74:case 75:Le[Te-2].text=Le[Te-1],this.$=Le[Te-2];break;case 76:this.$=Le[Te];break;case 77:var Kn=xt.destructLink(Le[Te],Le[Te-2]);this.$={type:Kn.type,stroke:Kn.stroke,length:Kn.length,text:Le[Te-1]};break;case 78:var Kn=xt.destructLink(Le[Te],Le[Te-2]);this.$={type:Kn.type,stroke:Kn.stroke,length:Kn.length,text:Le[Te-1],id:Le[Te-3]};break;case 79:this.$={text:Le[Te],type:"text"};break;case 80:this.$={text:Le[Te-1].text+""+Le[Te],type:Le[Te-1].type};break;case 81:this.$={text:Le[Te],type:"string"};break;case 82:this.$={text:Le[Te],type:"markdown"};break;case 83:var Kn=xt.destructLink(Le[Te]);this.$={type:Kn.type,stroke:Kn.stroke,length:Kn.length};break;case 84:var Kn=xt.destructLink(Le[Te]);this.$={type:Kn.type,stroke:Kn.stroke,length:Kn.length,id:Le[Te-1]};break;case 85:this.$=Le[Te-1];break;case 86:this.$={text:Le[Te],type:"text"};break;case 87:this.$={text:Le[Te-1].text+""+Le[Te],type:Le[Te-1].type};break;case 88:this.$={text:Le[Te],type:"string"};break;case 89:case 104:this.$={text:Le[Te],type:"markdown"};break;case 101:this.$={text:Le[Te],type:"text"};break;case 102:this.$={text:Le[Te-1].text+""+Le[Te],type:Le[Te-1].type};break;case 103:this.$={text:Le[Te],type:"text"};break;case 105:this.$=Le[Te-4],xt.addClass(Le[Te-2],Le[Te]);break;case 106:this.$=Le[Te-4],xt.setClass(Le[Te-2],Le[Te]);break;case 107:case 115:this.$=Le[Te-1],xt.setClickEvent(Le[Te-1],Le[Te]);break;case 108:case 116:this.$=Le[Te-3],xt.setClickEvent(Le[Te-3],Le[Te-2]),xt.setTooltip(Le[Te-3],Le[Te]);break;case 109:this.$=Le[Te-2],xt.setClickEvent(Le[Te-2],Le[Te-1],Le[Te]);break;case 110:this.$=Le[Te-4],xt.setClickEvent(Le[Te-4],Le[Te-3],Le[Te-2]),xt.setTooltip(Le[Te-4],Le[Te]);break;case 111:this.$=Le[Te-2],xt.setLink(Le[Te-2],Le[Te]);break;case 112:this.$=Le[Te-4],xt.setLink(Le[Te-4],Le[Te-2]),xt.setTooltip(Le[Te-4],Le[Te]);break;case 113:this.$=Le[Te-4],xt.setLink(Le[Te-4],Le[Te-2],Le[Te]);break;case 114:this.$=Le[Te-6],xt.setLink(Le[Te-6],Le[Te-4],Le[Te]),xt.setTooltip(Le[Te-6],Le[Te-2]);break;case 117:this.$=Le[Te-1],xt.setLink(Le[Te-1],Le[Te]);break;case 118:this.$=Le[Te-3],xt.setLink(Le[Te-3],Le[Te-2]),xt.setTooltip(Le[Te-3],Le[Te]);break;case 119:this.$=Le[Te-3],xt.setLink(Le[Te-3],Le[Te-2],Le[Te]);break;case 120:this.$=Le[Te-5],xt.setLink(Le[Te-5],Le[Te-4],Le[Te]),xt.setTooltip(Le[Te-5],Le[Te-2]);break;case 121:this.$=Le[Te-4],xt.addVertex(Le[Te-2],void 0,void 0,Le[Te]);break;case 122:this.$=Le[Te-4],xt.updateLink([Le[Te-2]],Le[Te]);break;case 123:this.$=Le[Te-4],xt.updateLink(Le[Te-2],Le[Te]);break;case 124:this.$=Le[Te-8],xt.updateLinkInterpolate([Le[Te-6]],Le[Te-2]),xt.updateLink([Le[Te-6]],Le[Te]);break;case 125:this.$=Le[Te-8],xt.updateLinkInterpolate(Le[Te-6],Le[Te-2]),xt.updateLink(Le[Te-6],Le[Te]);break;case 126:this.$=Le[Te-6],xt.updateLinkInterpolate([Le[Te-4]],Le[Te]);break;case 127:this.$=Le[Te-6],xt.updateLinkInterpolate(Le[Te-4],Le[Te]);break;case 128:case 130:this.$=[Le[Te]];break;case 129:case 131:Le[Te-2].push(Le[Te]),this.$=Le[Te-2];break;case 133:this.$=Le[Te-1]+Le[Te];break;case 181:this.$=Le[Te];break;case 182:this.$=Le[Te-1]+""+Le[Te];break;case 184:this.$=Le[Te-1]+""+Le[Te];break;case 185:this.$={stmt:"dir",value:"TB"};break;case 186:this.$={stmt:"dir",value:"BT"};break;case 187:this.$={stmt:"dir",value:"RL"};break;case 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Mt=new Error(It);throw Mt.hash=Lt,Mt}},"parseError"),parse:v(function(It){var Lt=this,Mt=[0],xt=[],qt=[null],Le=[],va=this.table,Te="",Kn=0,Ko=0,Ga=2,go=1,wn=Le.slice.call(arguments,1),sr=Object.create(this.lexer),Ja={yy:{}};for(var Ia in this.yy)Object.prototype.hasOwnProperty.call(this.yy,Ia)&&(Ja.yy[Ia]=this.yy[Ia]);sr.setInput(It,Ja.yy),Ja.yy.lexer=sr,Ja.yy.parser=this,typeof sr.yylloc>"u"&&(sr.yylloc={});var yi=sr.yylloc;Le.push(yi);var po=sr.options&&sr.options.ranges;typeof Ja.yy.parseError=="function"?this.parseError=Ja.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;function Rr(z){Mt.length=Mt.length-2*z,qt.length=qt.length-z,Le.length=Le.length-z}v(Rr,"popStack");function fa(){var z;return z=xt.pop()||sr.lex()||go,typeof z!="number"&&(z instanceof Array&&(xt=z,z=xt.pop()),z=Lt.symbols_[z]||z),z}v(fa,"lex");for(var Wa,Cn,_n,rr,la={},li,Ka,mA,di;;){if(Cn=Mt[Mt.length-1],this.defaultActions[Cn]?_n=this.defaultActions[Cn]:((Wa===null||typeof 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this.yy=Lt||this.yy||{},this._input=It,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},"setInput"),input:v(function(){var It=this._input[0];this.yytext+=It,this.yyleng++,this.offset++,this.match+=It,this.matched+=It;var Lt=It.match(/(?:\r\n?|\n).*/g);return Lt?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),It},"input"),unput:v(function(It){var Lt=It.length,Mt=It.split(/(?:\r\n?|\n)/g);this._input=It+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-Lt),this.offset-=Lt;var xt=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),Mt.length-1&&(this.yylineno-=Mt.length-1);var qt=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:Mt?(Mt.length===xt.length?this.yylloc.first_column:0)+xt[xt.length-Mt.length].length-Mt[0].length:this.yylloc.first_column-Lt},this.options.ranges&&(this.yylloc.range=[qt[0],qt[0]+this.yyleng-Lt]),this.yyleng=this.yytext.length,this},"unput"),more:v(function(){return this._more=!0,this},"more"),reject:v(function(){if(this.options.backtrack_lexer)this._backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+`. You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true). +`+this.showPosition(),{text:"",token:null,line:this.yylineno});return this},"reject"),less:v(function(It){this.unput(this.match.slice(It))},"less"),pastInput:v(function(){var It=this.matched.substr(0,this.matched.length-this.match.length);return(It.length>20?"...":"")+It.substr(-20).replace(/\n/g,"")},"pastInput"),upcomingInput:v(function(){var It=this.match;return It.length<20&&(It+=this._input.substr(0,20-It.length)),(It.substr(0,20)+(It.length>20?"...":"")).replace(/\n/g,"")},"upcomingInput"),showPosition:v(function(){var It=this.pastInput(),Lt=new Array(It.length+1).join("-");return It+this.upcomingInput()+` +`+Lt+"^"},"showPosition"),test_match:v(function(It,Lt){var Mt,xt,qt;if(this.options.backtrack_lexer&&(qt={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(qt.yylloc.range=this.yylloc.range.slice(0))),xt=It[0].match(/(?:\r\n?|\n).*/g),xt&&(this.yylineno+=xt.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:xt?xt[xt.length-1].length-xt[xt.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+It[0].length},this.yytext+=It[0],this.match+=It[0],this.matches=It,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(It[0].length),this.matched+=It[0],Mt=this.performAction.call(this,this.yy,this,Lt,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),Mt)return Mt;if(this._backtrack){for(var Le in qt)this[Le]=qt[Le];return!1}return!1},"test_match"),next:v(function(){if(this.done)return this.EOF;this._input||(this.done=!0);var It,Lt,Mt,xt;this._more||(this.yytext="",this.match="");for(var qt=this._currentRules(),Le=0;LeLt[0].length)){if(Lt=Mt,xt=Le,this.options.backtrack_lexer){if(It=this.test_match(Mt,qt[Le]),It!==!1)return It;if(this._backtrack){Lt=!1;continue}else return!1}else if(!this.options.flex)break}return Lt?(It=this.test_match(Lt,qt[xt]),It!==!1?It:!1):this._input===""?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+`. Unrecognized text. +`+this.showPosition(),{text:"",token:null,line:this.yylineno})},"next"),lex:v(function(){var Lt=this.next();return Lt||this.lex()},"lex"),begin:v(function(Lt){this.conditionStack.push(Lt)},"begin"),popState:v(function(){var Lt=this.conditionStack.length-1;return Lt>0?this.conditionStack.pop():this.conditionStack[0]},"popState"),_currentRules:v(function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},"_currentRules"),topState:v(function(Lt){return Lt=this.conditionStack.length-1-Math.abs(Lt||0),Lt>=0?this.conditionStack[Lt]:"INITIAL"},"topState"),pushState:v(function(Lt){this.begin(Lt)},"pushState"),stateStackSize:v(function(){return this.conditionStack.length},"stateStackSize"),options:{},performAction:v(function(Lt,Mt,xt,qt){switch(xt){case 0:return this.begin("acc_title"),34;case 1:return this.popState(),"acc_title_value";case 2:return this.begin("acc_descr"),36;case 3:return this.popState(),"acc_descr_value";case 4:this.begin("acc_descr_multiline");break;case 5:this.popState();break;case 6:return"acc_descr_multiline_value";case 7:return this.pushState("shapeData"),Mt.yytext="",40;case 8:return this.pushState("shapeDataStr"),40;case 9:return this.popState(),40;case 10:const Le=/\n\s*/g;return Mt.yytext=Mt.yytext.replace(Le,"
"),40;case 11:return 40;case 12:this.popState();break;case 13:this.begin("callbackname");break;case 14:this.popState();break;case 15:this.popState(),this.begin("callbackargs");break;case 16:return 95;case 17:this.popState();break;case 18:return 96;case 19:return"MD_STR";case 20:this.popState();break;case 21:this.begin("md_string");break;case 22:return"STR";case 23:this.popState();break;case 24:this.pushState("string");break;case 25:return 84;case 26:return 102;case 27:return 85;case 28:return 104;case 29:return 86;case 30:return 87;case 31:return 97;case 32:this.begin("click");break;case 33:this.popState();break;case 34:return 88;case 35:return Lt.lex.firstGraph()&&this.begin("dir"),12;case 36:return Lt.lex.firstGraph()&&this.begin("dir"),12;case 37:return Lt.lex.firstGraph()&&this.begin("dir"),12;case 38:return 27;case 39:return 32;case 40:return 98;case 41:return 98;case 42:return 98;case 43:return 98;case 44:return this.popState(),13;case 45:return this.popState(),14;case 46:return this.popState(),14;case 47:return this.popState(),14;case 48:return this.popState(),14;case 49:return this.popState(),14;case 50:return this.popState(),14;case 51:return this.popState(),14;case 52:return this.popState(),14;case 53:return this.popState(),14;case 54:return this.popState(),14;case 55:return 121;case 56:return 122;case 57:return 123;case 58:return 124;case 59:return 78;case 60:return 105;case 61:return 111;case 62:return 46;case 63:return 60;case 64:return 44;case 65:return 8;case 66:return 106;case 67:return 115;case 68:return this.popState(),77;case 69:return this.pushState("edgeText"),75;case 70:return 119;case 71:return this.popState(),77;case 72:return this.pushState("thickEdgeText"),75;case 73:return 119;case 74:return this.popState(),77;case 75:return this.pushState("dottedEdgeText"),75;case 76:return 119;case 77:return 77;case 78:return this.popState(),53;case 79:return"TEXT";case 80:return this.pushState("ellipseText"),52;case 81:return this.popState(),55;case 82:return this.pushState("text"),54;case 83:return this.popState(),57;case 84:return this.pushState("text"),56;case 85:return 58;case 86:return this.pushState("text"),67;case 87:return this.popState(),64;case 88:return this.pushState("text"),63;case 89:return this.popState(),49;case 90:return this.pushState("text"),48;case 91:return this.popState(),69;case 92:return this.popState(),71;case 93:return 117;case 94:return this.pushState("trapText"),68;case 95:return this.pushState("trapText"),70;case 96:return 118;case 97:return 67;case 98:return 90;case 99:return"SEP";case 100:return 89;case 101:return 115;case 102:return 111;case 103:return 44;case 104:return 109;case 105:return 114;case 106:return 116;case 107:return this.popState(),62;case 108:return this.pushState("text"),62;case 109:return this.popState(),51;case 110:return this.pushState("text"),50;case 111:return this.popState(),31;case 112:return this.pushState("text"),29;case 113:return this.popState(),66;case 114:return this.pushState("text"),65;case 115:return"TEXT";case 116:return"QUOTE";case 117:return 9;case 118:return 10;case 119:return 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.text-outer-tspan { + // text-anchor: middle; + // } + // .flowchart-label .text-inner-tspan { + // text-anchor: start; + // } + + .node .katex path { + fill: #000; + stroke: #000; + stroke-width: 1px; + } + + .rough-node .label,.node .label, .image-shape .label, .icon-shape .label { + text-align: center; + } + .node.clickable { + cursor: pointer; + } + + + .root .anchor path { + fill: ${t.lineColor} !important; + stroke-width: 0; + stroke: ${t.lineColor}; + } + + .arrowheadPath { + fill: ${t.arrowheadColor}; + } + + .edgePath .path { + stroke: ${t.lineColor}; + stroke-width: 2.0px; + } + + .flowchart-link { + stroke: ${t.lineColor}; + fill: none; + } + + .edgeLabel { + background-color: ${t.edgeLabelBackground}; + p { + background-color: ${t.edgeLabelBackground}; + } + rect { + opacity: 0.5; + background-color: ${t.edgeLabelBackground}; + fill: ${t.edgeLabelBackground}; + } + text-align: center; + } + + /* For html labels only */ + .labelBkg { + background-color: ${cvt(t.edgeLabelBackground,.5)}; + // background-color: + } + + .cluster rect { + fill: ${t.clusterBkg}; + stroke: ${t.clusterBorder}; + stroke-width: 1px; + } + + .cluster text { + fill: ${t.titleColor}; + } + + .cluster span { + color: ${t.titleColor}; + } + /* .cluster div { + color: ${t.titleColor}; + } */ + + div.mermaidTooltip { + position: absolute; + text-align: center; + max-width: 200px; + padding: 2px; + font-family: ${t.fontFamily}; + font-size: 12px; + background: ${t.tertiaryColor}; + border: 1px solid ${t.border2}; + border-radius: 2px; + pointer-events: none; + z-index: 100; + } + + .flowchartTitleText { + text-anchor: middle; + font-size: 18px; + fill: ${t.textColor}; + } + + rect.text { + fill: none; + stroke-width: 0; + } + + .icon-shape, .image-shape { + background-color: ${t.edgeLabelBackground}; + p { + background-color: ${t.edgeLabelBackground}; + padding: 2px; + } + rect { + opacity: 0.5; + background-color: ${t.edgeLabelBackground}; + fill: ${t.edgeLabelBackground}; + } + text-align: center; + } + ${C0()} +`,"getStyles"),dvt=lvt,uvt={parser:svt,get db(){return new rvt},renderer:ovt,styles:dvt,init:v(t=>{t.flowchart||(t.flowchart={}),t.layout&&GU({layout:t.layout}),t.flowchart.arrowMarkerAbsolute=t.arrowMarkerAbsolute,GU({flowchart:{arrowMarkerAbsolute:t.arrowMarkerAbsolute}})},"init")};const yq=Object.freeze(Object.defineProperty({__proto__:null,diagram:uvt},Symbol.toStringTag,{value:"Module"}));var g6=(function(){var t=v(function(Ae,pe,le,ke){for(le=le||{},ke=Ae.length;ke--;le[Ae[ke]]=pe);return 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64:this.$=[ie[ve]];break;case 39:case 40:this.$=ie[ve-2].concat([ie[ve]]);break;case 41:this.$=ie[ve-2],me.setClass(ie[ve-1],ie[ve]);break;case 42:this.$=ie[ve-3],me.addCssStyles(ie[ve-2],ie[ve-1]);break;case 43:this.$=[ie[ve]];break;case 44:ie[ve-2].push(ie[ve]),this.$=ie[ve-2];break;case 46:this.$=ie[ve-1]+ie[ve];break;case 54:case 76:case 77:this.$=ie[ve].replace(/"/g,"");break;case 55:case 78:this.$=ie[ve];break;case 57:ie[ve].push(ie[ve-1]),this.$=ie[ve];break;case 58:this.$={type:ie[ve-1],name:ie[ve]};break;case 59:this.$={type:ie[ve-2],name:ie[ve-1],keys:ie[ve]};break;case 60:this.$={type:ie[ve-2],name:ie[ve-1],comment:ie[ve]};break;case 61:this.$={type:ie[ve-3],name:ie[ve-2],keys:ie[ve-1],comment:ie[ve]};break;case 62:case 63:case 66:this.$=ie[ve];break;case 65:ie[ve-2].push(ie[ve]),this.$=ie[ve-2];break;case 67:this.$=ie[ve].replace(/"/g,"");break;case 68:this.$={cardA:ie[ve],relType:ie[ve-1],cardB:ie[ve-2]};break;case 69:this.$=me.Cardinality.ZERO_OR_ONE;break;case 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V>"u")&&(V=De()),Ce=Ze[ye]&&Ze[ye][V]),typeof Ce>"u"||!Ce.length||!Ce[0]){var nt="";We=[];for(Ue in Ze[ye])this.terminals_[Ue]&&Ue>ct&&We.push("'"+this.terminals_[Ue]+"'");qe.showPosition?nt="Parse error on line "+(at+1)+`: +`+qe.showPosition()+` +Expecting `+We.join(", ")+", got '"+(this.terminals_[V]||V)+"'":nt="Parse error on line "+(at+1)+": Unexpected "+(V==Oe?"end of input":"'"+(this.terminals_[V]||V)+"'"),this.parseError(nt,{text:qe.match,token:this.terminals_[V]||V,line:qe.yylineno,loc:_e,expected:We})}if(Ce[0]instanceof Array&&Ce.length>1)throw new Error("Parse Error: multiple actions possible at state: "+ye+", token: "+V);switch(Ce[0]){case 1:ke.push(V),He.push(qe.yytext),ie.push(qe.yylloc),ke.push(Ce[1]),V=null,rt=qe.yyleng,ve=qe.yytext,at=qe.yylineno,_e=qe.yylloc;break;case 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me=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),ke.length-1&&(this.yylineno-=ke.length-1);var He=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:ke?(ke.length===me.length?this.yylloc.first_column:0)+me[me.length-ke.length].length-ke[0].length:this.yylloc.first_column-le},this.options.ranges&&(this.yylloc.range=[He[0],He[0]+this.yyleng-le]),this.yyleng=this.yytext.length,this},"unput"),more:v(function(){return this._more=!0,this},"more"),reject:v(function(){if(this.options.backtrack_lexer)this._backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+`. You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true). +`+this.showPosition(),{text:"",token:null,line:this.yylineno});return this},"reject"),less:v(function(pe){this.unput(this.match.slice(pe))},"less"),pastInput:v(function(){var pe=this.matched.substr(0,this.matched.length-this.match.length);return(pe.length>20?"...":"")+pe.substr(-20).replace(/\n/g,"")},"pastInput"),upcomingInput:v(function(){var pe=this.match;return pe.length<20&&(pe+=this._input.substr(0,20-pe.length)),(pe.substr(0,20)+(pe.length>20?"...":"")).replace(/\n/g,"")},"upcomingInput"),showPosition:v(function(){var pe=this.pastInput(),le=new Array(pe.length+1).join("-");return pe+this.upcomingInput()+` +`+le+"^"},"showPosition"),test_match:v(function(pe,le){var ke,me,He;if(this.options.backtrack_lexer&&(He={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(He.yylloc.range=this.yylloc.range.slice(0))),me=pe[0].match(/(?:\r\n?|\n).*/g),me&&(this.yylineno+=me.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:me?me[me.length-1].length-me[me.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+pe[0].length},this.yytext+=pe[0],this.match+=pe[0],this.matches=pe,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(pe[0].length),this.matched+=pe[0],ke=this.performAction.call(this,this.yy,this,le,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),ke)return ke;if(this._backtrack){for(var ie in He)this[ie]=He[ie];return!1}return!1},"test_match"),next:v(function(){if(this.done)return this.EOF;this._input||(this.done=!0);var pe,le,ke,me;this._more||(this.yytext="",this.match="");for(var He=this._currentRules(),ie=0;iele[0].length)){if(le=ke,me=ie,this.options.backtrack_lexer){if(pe=this.test_match(ke,He[ie]),pe!==!1)return pe;if(this._backtrack){le=!1;continue}else return!1}else if(!this.options.flex)break}return le?(pe=this.test_match(le,He[me]),pe!==!1?pe:!1):this._input===""?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+`. Unrecognized text. +`+this.showPosition(),{text:"",token:null,line:this.yylineno})},"next"),lex:v(function(){var le=this.next();return le||this.lex()},"lex"),begin:v(function(le){this.conditionStack.push(le)},"begin"),popState:v(function(){var le=this.conditionStack.length-1;return le>0?this.conditionStack.pop():this.conditionStack[0]},"popState"),_currentRules:v(function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},"_currentRules"),topState:v(function(le){return le=this.conditionStack.length-1-Math.abs(le||0),le>=0?this.conditionStack[le]:"INITIAL"},"topState"),pushState:v(function(le){this.begin(le)},"pushState"),stateStackSize:v(function(){return this.conditionStack.length},"stateStackSize"),options:{"case-insensitive":!0},performAction:v(function(le,ke,me,He){switch(me){case 0:return this.begin("acc_title"),24;case 1:return this.popState(),"acc_title_value";case 2:return this.begin("acc_descr"),26;case 3:return this.popState(),"acc_descr_value";case 4:this.begin("acc_descr_multiline");break;case 5:this.popState();break;case 6:return"acc_descr_multiline_value";case 7:return 33;case 8:return 34;case 9:return 35;case 10:return 36;case 11:return 10;case 12:break;case 13:return 8;case 14:return 50;case 15:return 70;case 16:return 4;case 17:return this.begin("block"),17;case 18:return 49;case 19:return 49;case 20:return 42;case 21:return 15;case 22:return 13;case 23:break;case 24:return 59;case 25:return 56;case 26:return 56;case 27:return 60;case 28:break;case 29:return this.popState(),19;case 30:return ke.yytext[0];case 31:return 20;case 32:return 21;case 33:return this.begin("style"),44;case 34:return this.popState(),10;case 35:break;case 36:return 13;case 37:return 42;case 38:return 49;case 39:return this.begin("style"),37;case 40:return 43;case 41:return 63;case 42:return 65;case 43:return 65;case 44:return 65;case 45:return 63;case 46:return 63;case 47:return 64;case 48:return 64;case 49:return 64;case 50:return 64;case 51:return 64;case 52:return 65;case 53:return 64;case 54:return 65;case 55:return 66;case 56:return 66;case 57:return 66;case 58:return 66;case 59:return 63;case 60:return 64;case 61:return 65;case 62:return 67;case 63:return 68;case 64:return 69;case 65:return 69;case 66:return 68;case 67:return 68;case 68:return 68;case 69:return 41;case 70:return 47;case 71:return 40;case 72:return 48;case 73:return ke.yytext[0];case 74:return 6}},"anonymous"),rules:[/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?:.*direction\s+TB[^\n]*)/i,/^(?:.*direction\s+BT[^\n]*)/i,/^(?:.*direction\s+RL[^\n]*)/i,/^(?:.*direction\s+LR[^\n]*)/i,/^(?:[\n]+)/i,/^(?:\s+)/i,/^(?:[\s]+)/i,/^(?:"[^"%\r\n\v\b\\]+")/i,/^(?:"[^"]*")/i,/^(?:erDiagram\b)/i,/^(?:\{)/i,/^(?:#)/i,/^(?:#)/i,/^(?:,)/i,/^(?::::)/i,/^(?::)/i,/^(?:\s+)/i,/^(?:\b((?:PK)|(?:FK)|(?:UK))\b)/i,/^(?:([^\s]*)[~].*[~]([^\s]*))/i,/^(?:([\*A-Za-z_\u00C0-\uFFFF][A-Za-z0-9\-\_\[\]\(\)\u00C0-\uFFFF\*]*))/i,/^(?:"[^"]*")/i,/^(?:[\n]+)/i,/^(?:\})/i,/^(?:.)/i,/^(?:\[)/i,/^(?:\])/i,/^(?:style\b)/i,/^(?:[\n]+)/i,/^(?:\s+)/i,/^(?::)/i,/^(?:,)/i,/^(?:#)/i,/^(?:classDef\b)/i,/^(?:class\b)/i,/^(?:one or zero\b)/i,/^(?:one or more\b)/i,/^(?:one or many\b)/i,/^(?:1\+)/i,/^(?:\|o\b)/i,/^(?:zero or one\b)/i,/^(?:zero or more\b)/i,/^(?:zero or many\b)/i,/^(?:0\+)/i,/^(?:\}o\b)/i,/^(?:many\(0\))/i,/^(?:many\(1\))/i,/^(?:many\b)/i,/^(?:\}\|)/i,/^(?:one\b)/i,/^(?:only one\b)/i,/^(?:1\b)/i,/^(?:\|\|)/i,/^(?:o\|)/i,/^(?:o\{)/i,/^(?:\|\{)/i,/^(?:\s*u\b)/i,/^(?:\.\.)/i,/^(?:--)/i,/^(?:to\b)/i,/^(?:optionally to\b)/i,/^(?:\.-)/i,/^(?:-\.)/i,/^(?:([^\x00-\x7F]|\w|-|\*)+)/i,/^(?:;)/i,/^(?:([^\x00-\x7F]|\w|-|\*)+)/i,/^(?:[0-9])/i,/^(?:.)/i,/^(?:$)/i],conditions:{style:{rules:[34,35,36,37,38,69,70],inclusive:!1},acc_descr_multiline:{rules:[5,6],inclusive:!1},acc_descr:{rules:[3],inclusive:!1},acc_title:{rules:[1],inclusive:!1},block:{rules:[23,24,25,26,27,28,29,30],inclusive:!1},INITIAL:{rules:[0,2,4,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,31,32,33,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,71,72,73,74],inclusive:!0}}};return Ae})();ae.lexer=se;function oe(){this.yy={}}return v(oe,"Parser"),oe.prototype=ae,ae.Parser=oe,new oe})();g6.parser=g6;var gvt=g6,pvt=class{constructor(){this.entities=new Map,this.relationships=[],this.classes=new Map,this.direction="TB",this.Cardinality={ZERO_OR_ONE:"ZERO_OR_ONE",ZERO_OR_MORE:"ZERO_OR_MORE",ONE_OR_MORE:"ONE_OR_MORE",ONLY_ONE:"ONLY_ONE",MD_PARENT:"MD_PARENT"},this.Identification={NON_IDENTIFYING:"NON_IDENTIFYING",IDENTIFYING:"IDENTIFYING"},this.setAccTitle=Yi,this.getAccTitle=cA,this.setAccDescription=lA,this.getAccDescription=dA,this.setDiagramTitle=QA,this.getDiagramTitle=zi,this.getConfig=v(()=>Xe().er,"getConfig"),this.clear(),this.addEntity=this.addEntity.bind(this),this.addAttributes=this.addAttributes.bind(this),this.addRelationship=this.addRelationship.bind(this),this.setDirection=this.setDirection.bind(this),this.addCssStyles=this.addCssStyles.bind(this),this.addClass=this.addClass.bind(this),this.setClass=this.setClass.bind(this),this.setAccTitle=this.setAccTitle.bind(this),this.setAccDescription=this.setAccDescription.bind(this)}static{v(this,"ErDB")}addEntity(t,e=""){return this.entities.has(t)?!this.entities.get(t)?.alias&&e&&(this.entities.get(t).alias=e,Be.info(`Add alias '${e}' to entity '${t}'`)):(this.entities.set(t,{id:`entity-${t}-${this.entities.size}`,label:t,attributes:[],alias:e,shape:"erBox",look:Xe().look??"default",cssClasses:"default",cssStyles:[]}),Be.info("Added new entity :",t)),this.entities.get(t)}getEntity(t){return this.entities.get(t)}getEntities(){return this.entities}getClasses(){return this.classes}addAttributes(t,e){const n=this.addEntity(t);let a;for(a=e.length-1;a>=0;a--)e[a].keys||(e[a].keys=[]),e[a].comment||(e[a].comment=""),n.attributes.push(e[a]),Be.debug("Added attribute ",e[a].name)}addRelationship(t,e,n,a){const r=this.entities.get(t),i=this.entities.get(n);if(!r||!i)return;const A={entityA:r.id,roleA:e,entityB:i.id,relSpec:a};this.relationships.push(A),Be.debug("Added new relationship :",A)}getRelationships(){return this.relationships}getDirection(){return this.direction}setDirection(t){this.direction=t}getCompiledStyles(t){let e=[];for(const n of t){const a=this.classes.get(n);a?.styles&&(e=[...e,...a.styles??[]].map(r=>r.trim())),a?.textStyles&&(e=[...e,...a.textStyles??[]].map(r=>r.trim()))}return e}addCssStyles(t,e){for(const n of t){const a=this.entities.get(n);if(!e||!a)return;for(const r of e)a.cssStyles.push(r)}}addClass(t,e){t.forEach(n=>{let a=this.classes.get(n);a===void 0&&(a={id:n,styles:[],textStyles:[]},this.classes.set(n,a)),e&&e.forEach(function(r){if(/color/.exec(r)){const i=r.replace("fill","bgFill");a.textStyles.push(i)}a.styles.push(r)})})}setClass(t,e){for(const n of t){const a=this.entities.get(n);if(a)for(const r of e)a.cssClasses+=" "+r}}clear(){this.entities=new Map,this.classes=new Map,this.relationships=[],ji()}getData(){const t=[],e=[],n=Xe();for(const r of this.entities.keys()){const i=this.entities.get(r);i&&(i.cssCompiledStyles=this.getCompiledStyles(i.cssClasses.split(" ")),t.push(i))}let a=0;for(const r of this.relationships){const i={id:EC(r.entityA,r.entityB,{prefix:"id",counter:a++}),type:"normal",curve:"basis",start:r.entityA,end:r.entityB,label:r.roleA,labelpos:"c",thickness:"normal",classes:"relationshipLine",arrowTypeStart:r.relSpec.cardB.toLowerCase(),arrowTypeEnd:r.relSpec.cardA.toLowerCase(),pattern:r.relSpec.relType=="IDENTIFYING"?"solid":"dashed",look:n.look};e.push(i)}return{nodes:t,edges:e,other:{},config:n,direction:"TB"}}},LDe={};C2(LDe,{draw:()=>mvt});var mvt=v(async function(t,e,n,a){Be.info("REF0:"),Be.info("Drawing er diagram (unified)",e);const{securityLevel:r,er:i,layout:A}=Xe(),o=a.db.getData(),s=AI(e,r);o.type=a.type,o.layoutAlgorithm=Ww(A),o.config.flowchart.nodeSpacing=i?.nodeSpacing||140,o.config.flowchart.rankSpacing=i?.rankSpacing||80,o.direction=a.db.getDirection(),o.markers=["only_one","zero_or_one","one_or_more","zero_or_more"],o.diagramId=e,await UE(o,s),o.layoutAlgorithm==="elk"&&s.select(".edges").lower();const l=s.selectAll('[id*="-background"]');Array.from(l).length>0&&l.each(function(){const u=Jt(this),p=u.attr("id").replace("-background",""),m=s.select(`#${CSS.escape(p)}`);if(!m.empty()){const f=m.attr("transform");u.attr("transform",f)}});const d=8;sa.insertTitle(s,"erDiagramTitleText",i?.titleTopMargin??25,a.db.getDiagramTitle()),xf(s,d,"erDiagram",i?.useMaxWidth??!0)},"draw"),hvt=v((t,e)=>{const n=A7,a=n(t,"r"),r=n(t,"g"),i=n(t,"b");return hp(a,r,i,e)},"fade"),fvt=v(t=>` + .entityBox { + fill: ${t.mainBkg}; + stroke: ${t.nodeBorder}; + } + + .relationshipLabelBox { + fill: ${t.tertiaryColor}; + opacity: 0.7; + background-color: ${t.tertiaryColor}; + rect { + opacity: 0.5; + } + } + + .labelBkg { + background-color: ${hvt(t.tertiaryColor,.5)}; + } + + .edgeLabel .label { + fill: ${t.nodeBorder}; + font-size: 14px; + } + + .label { + font-family: ${t.fontFamily}; + color: ${t.nodeTextColor||t.textColor}; + } + + .edge-pattern-dashed { + stroke-dasharray: 8,8; + } + + .node rect, + .node circle, + .node ellipse, + .node polygon + { + fill: ${t.mainBkg}; + stroke: ${t.nodeBorder}; + stroke-width: 1px; + } + + .relationshipLine { + stroke: ${t.lineColor}; + stroke-width: 1; + fill: none; + } + + .marker { + fill: none !important; + stroke: ${t.lineColor} !important; + stroke-width: 1; + } +`,"getStyles"),bvt=fvt,Cvt={parser:gvt,get db(){return new pvt},renderer:LDe,styles:bvt};const Evt=Object.freeze(Object.defineProperty({__proto__:null,diagram:Cvt},Symbol.toStringTag,{value:"Module"}));function Sf(t,e){t.accDescr&&e.setAccDescription?.(t.accDescr),t.accTitle&&e.setAccTitle?.(t.accTitle),t.title&&e.setDiagramTitle?.(t.title)}v(Sf,"populateCommonDb");var TDe=class{constructor(t){this.init=t,this.records=this.init()}static{v(this,"ImperativeState")}reset(){this.records=this.init()}};function ro(t){return typeof t=="object"&&t!==null&&typeof t.$type=="string"}function hd(t){return typeof t=="object"&&t!==null&&typeof t.$refText=="string"}function Ivt(t){return typeof 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e={state:this.startFn(),next:()=>this.nextFn(e.state),[Symbol.iterator]:()=>e};return e}[Symbol.iterator](){return this.iterator()}isEmpty(){return!!this.iterator().next().done}count(){const e=this.iterator();let n=0,a=e.next();for(;!a.done;)n++,a=e.next();return n}toArray(){const e=[],n=this.iterator();let a;do a=n.next(),a.value!==void 0&&e.push(a.value);while(!a.done);return e}toSet(){return new Set(this)}toMap(e,n){const a=this.map(r=>[e?e(r):r,n?n(r):r]);return new Map(a)}toString(){return this.join()}concat(e){return new GA(()=>({first:this.startFn(),firstDone:!1,iterator:e[Symbol.iterator]()}),n=>{let a;if(!n.firstDone){do if(a=this.nextFn(n.first),!a.done)return a;while(!a.done);n.firstDone=!0}do if(a=n.iterator.next(),!a.done)return a;while(!a.done);return _s})}join(e=","){const n=this.iterator();let a="",r,i=!1;do r=n.next(),r.done||(i&&(a+=e),a+=Bvt(r.value)),i=!0;while(!r.done);return a}indexOf(e,n=0){const a=this.iterator();let r=0,i=a.next();for(;!i.done;){if(r>=n&&i.value===e)return r;i=a.next(),r++}return-1}every(e){const n=this.iterator();let a=n.next();for(;!a.done;){if(!e(a.value))return!1;a=n.next()}return!0}some(e){const n=this.iterator();let a=n.next();for(;!a.done;){if(e(a.value))return!0;a=n.next()}return!1}forEach(e){const n=this.iterator();let a=0,r=n.next();for(;!r.done;)e(r.value,a),r=n.next(),a++}map(e){return new GA(this.startFn,n=>{const{done:a,value:r}=this.nextFn(n);return a?_s:{done:!1,value:e(r)}})}filter(e){return new GA(this.startFn,n=>{let a;do if(a=this.nextFn(n),!a.done&&e(a.value))return a;while(!a.done);return _s})}nonNullable(){return this.filter(e=>e!=null)}reduce(e,n){const a=this.iterator();let r=n,i=a.next();for(;!i.done;)r===void 0?r=i.value:r=e(r,i.value),i=a.next();return r}reduceRight(e,n){return this.recursiveReduce(this.iterator(),e,n)}recursiveReduce(e,n,a){const r=e.next();if(r.done)return a;const i=this.recursiveReduce(e,n,a);return i===void 0?r.value:n(i,r.value)}find(e){const n=this.iterator();let a=n.next();for(;!a.done;){if(e(a.value))return a.value;a=n.next()}}findIndex(e){const n=this.iterator();let a=0,r=n.next();for(;!r.done;){if(e(r.value))return a;r=n.next(),a++}return-1}includes(e){const n=this.iterator();let a=n.next();for(;!a.done;){if(a.value===e)return!0;a=n.next()}return!1}flatMap(e){return new GA(()=>({this:this.startFn()}),n=>{do{if(n.iterator){const i=n.iterator.next();if(i.done)n.iterator=void 0;else return i}const{done:a,value:r}=this.nextFn(n.this);if(!a){const i=e(r);if(S_(i))n.iterator=i[Symbol.iterator]();else return{done:!1,value:i}}}while(n.iterator);return _s})}flat(e){if(e===void 0&&(e=1),e<=0)return this;const n=e>1?this.flat(e-1):this;return new GA(()=>({this:n.startFn()}),a=>{do{if(a.iterator){const A=a.iterator.next();if(A.done)a.iterator=void 0;else return A}const{done:r,value:i}=n.nextFn(a.this);if(!r)if(S_(i))a.iterator=i[Symbol.iterator]();else 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Po(t,e,n,a){t=Od(t)?t:aA(t),n=n?pN(n):0;var r=t.length;return n<0&&(n=T2t(r+n,0)),us(t)?n<=r&&t.indexOf(e,n)>-1:!!r&&Nq(t,e,n)>-1}function nle(t,e,n){var a=t==null?0:t.length;if(!a)return-1;var r=0;return Nq(t,e,r)}var G2t="[object Map]",O2t="[object Set]",U2t=Object.prototype,P2t=U2t.hasOwnProperty;function Tr(t){if(t==null)return!0;if(Od(t)&&(za(t)||typeof t=="string"||typeof t.splice=="function"||yw(t)||Tq(t)||fN(t)))return!t.length;var e=Ec(t);if(e==G2t||e==O2t)return!t.size;if(Q0(t))return!hxe(t).length;for(var n in t)if(P2t.call(t,n))return!1;return!0}var K2t="[object RegExp]";function H2t(t){return vl(t)&&cm(t)==K2t}var ale=Yp&&Yp.isRegExp,tg=ale?bN(ale):H2t;function ng(t){return t===void 0}var Y2t="Expected a function";function q2t(t){if(typeof t!="function")throw new TypeError(Y2t);return function(){var e=arguments;switch(e.length){case 0:return!t.call(this);case 1:return!t.call(this,e[0]);case 2:return!t.call(this,e[0],e[1]);case 3:return!t.call(this,e[0],e[1],e[2])}return!t.apply(this,e)}}function j2t(t,e,n,a){if(!Uc(t))return t;e=IN(e,t);for(var r=-1,i=e.length,A=i-1,o=t;o!=null&&++r=X2t){var l=V2t(t);if(l)return zq(l);A=!1,r=jq,s=new IE}else s=o;e:for(;++a{n.accept(e)})}}class Lo extends Pd{constructor(e){super([]),this.idx=1,qs(this,Rl(e,n=>n!==void 0))}set definition(e){}get definition(){return this.referencedRule!==void 0?this.referencedRule.definition:[]}accept(e){e.visit(this)}}class sI extends Pd{constructor(e){super(e.definition),this.orgText="",qs(this,Rl(e,n=>n!==void 0))}}class gs extends Pd{constructor(e){super(e.definition),this.ignoreAmbiguities=!1,qs(this,Rl(e,n=>n!==void 0))}}let HA=class extends Pd{constructor(e){super(e.definition),this.idx=1,qs(this,Rl(e,n=>n!==void 0))}};class Vs extends Pd{constructor(e){super(e.definition),this.idx=1,qs(this,Rl(e,n=>n!==void 0))}}class Xs extends Pd{constructor(e){super(e.definition),this.idx=1,qs(this,Rl(e,n=>n!==void 0))}}class bi extends Pd{constructor(e){super(e.definition),this.idx=1,qs(this,Rl(e,n=>n!==void 0))}}class bs extends Pd{constructor(e){super(e.definition),this.idx=1,qs(this,Rl(e,n=>n!==void 0))}}class Cs extends Pd{get definition(){return this._definition}set definition(e){this._definition=e}constructor(e){super(e.definition),this.idx=1,this.ignoreAmbiguities=!1,this.hasPredicates=!1,qs(this,Rl(e,n=>n!==void 0))}}class Jr{constructor(e){this.idx=1,qs(this,Rl(e,n=>n!==void 0))}accept(e){e.visit(this)}}function nRt(t){return Ln(t,r1)}function r1(t){function e(n){return Ln(n,r1)}if(t instanceof Lo){const n={type:"NonTerminal",name:t.nonTerminalName,idx:t.idx};return us(t.label)&&(n.label=t.label),n}else{if(t instanceof gs)return{type:"Alternative",definition:e(t.definition)};if(t instanceof HA)return{type:"Option",idx:t.idx,definition:e(t.definition)};if(t instanceof Vs)return{type:"RepetitionMandatory",idx:t.idx,definition:e(t.definition)};if(t instanceof 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Zq(Cl(e))}function oRt(t){return[t.terminalType]}const Txe="_~IN~_";class sRt extends QN{constructor(e){super(),this.topProd=e,this.follows={}}startWalking(){return this.walk(this.topProd),this.follows}walkTerminal(e,n,a){}walkProdRef(e,n,a){const r=lRt(e.referencedRule,e.idx)+this.topProd.name,i=n.concat(a),A=new gs({definition:i}),o=v0(A);this.follows[r]=o}}function cRt(t){const e={};return na(t,n=>{const a=new sRt(n).startWalking();qs(e,a)}),e}function lRt(t,e){return t.name+e+Txe}let i1={};const dRt=new ZDe;function wN(t){const e=t.toString();if(i1.hasOwnProperty(e))return i1[e];{const n=dRt.pattern(e);return i1[e]=n,n}}function uRt(){i1={}}const Gxe="Complement Sets are not supported for first char optimization",T_=`Unable to use "first char" lexer optimizations: +`;function gRt(t,e=!1){try{const n=wN(t);return Q6(n.value,{},n.flags.ignoreCase)}catch(n){if(n.message===Gxe)e&&Mxe(`${T_} Unable to optimize: < ${t.toString()} > + Complement Sets cannot be automatically optimized. + This will disable the lexer's first char optimizations. + See: https://chevrotain.io/docs/guide/resolving_lexer_errors.html#COMPLEMENT for details.`);else{let a="";e&&(a=` + This will disable the lexer's first char optimizations. + See: https://chevrotain.io/docs/guide/resolving_lexer_errors.html#REGEXP_PARSING for details.`),y6(`${T_} + Failed parsing: < ${t.toString()} > + Using the @chevrotain/regexp-to-ast library + Please open an issue at: https://github.com/chevrotain/chevrotain/issues`+a)}}return[]}function Q6(t,e,n){switch(t.type){case"Disjunction":for(let r=0;r{if(typeof s=="number")MD(s,e,n);else{const l=s;if(n===!0)for(let d=l.from;d<=l.to;d++)MD(d,e,n);else{for(let d=l.from;d<=l.to&&d=qy){const d=l.from>=qy?l.from:qy,u=l.to,g=qp(d),p=qp(u);for(let m=g;m<=p;m++)e[m]=m}}}});break;case"Group":Q6(A.value,e,n);break;default:throw Error("Non Exhaustive Match")}const o=A.quantifier!==void 0&&A.quantifier.atLeast===0;if(A.type==="Group"&&w6(A)===!1||A.type!=="Group"&&o===!1)break}break;default:throw Error("non exhaustive match!")}return aA(e)}function MD(t,e,n){const a=qp(t);e[a]=a,n===!0&&pRt(t,e)}function pRt(t,e){const n=String.fromCharCode(t),a=n.toUpperCase();if(a!==n){const r=qp(a.charCodeAt(0));e[r]=r}else{const r=n.toLowerCase();if(r!==n){const i=qp(r.charCodeAt(0));e[i]=i}}}function ile(t,e){return yE(t.value,n=>{if(typeof n=="number")return Po(e,n);{const a=n;return yE(e,r=>a.from<=r&&r<=a.to)!==void 0}})}function w6(t){const e=t.quantifier;return e&&e.atLeast===0?!0:t.value?za(t.value)?El(t.value,w6):w6(t.value):!1}class mRt extends lN{constructor(e){super(),this.targetCharCodes=e,this.found=!1}visitChildren(e){if(this.found!==!0){switch(e.type){case"Lookahead":this.visitLookahead(e);return;case"NegativeLookahead":this.visitNegativeLookahead(e);return}super.visitChildren(e)}}visitCharacter(e){Po(this.targetCharCodes,e.value)&&(this.found=!0)}visitSet(e){e.complement?ile(e,this.targetCharCodes)===void 0&&(this.found=!0):ile(e,this.targetCharCodes)!==void 0&&(this.found=!0)}}function Vq(t,e){if(e instanceof RegExp){const n=wN(e),a=new mRt(t);return a.visit(n),a.found}else return yE(e,n=>Po(t,n.charCodeAt(0)))!==void 0}const of="PATTERN",Yy="defaultMode",FD="modes";let Oxe=typeof new RegExp("(?:)").sticky=="boolean";function hRt(t,e){e=Wq(e,{useSticky:Oxe,debug:!1,safeMode:!1,positionTracking:"full",lineTerminatorCharacters:["\r",` +`],tracer:(I,B)=>B()});const n=e.tracer;n("initCharCodeToOptimizedIndexMap",()=>{ORt()});let a;n("Reject Lexer.NA",()=>{a=yN(t,I=>I[of]===ls.NA)});let r=!1,i;n("Transform Patterns",()=>{r=!1,i=Ln(a,I=>{const B=I[of];if(tg(B)){const w=B.source;return w.length===1&&w!=="^"&&w!=="$"&&w!=="."&&!B.ignoreCase?w:w.length===2&&w[0]==="\\"&&!Po(["d","D","s","S","t","r","n","t","0","c","b","B","f","v","w","W"],w[1])?w[1]:e.useSticky?ole(B):Ale(B)}else{if(ug(B))return r=!0,{exec:B};if(typeof B=="object")return r=!0,B;if(typeof B=="string"){if(B.length===1)return B;{const w=B.replace(/[\\^$.*+?()[\]{}|]/g,"\\$&"),k=new RegExp(w);return e.useSticky?ole(k):Ale(k)}}else throw Error("non exhaustive match")}})});let A,o,s,l,d;n("misc mapping",()=>{A=Ln(a,I=>I.tokenTypeIdx),o=Ln(a,I=>{const B=I.GROUP;if(B!==ls.SKIPPED){if(us(B))return B;if(ng(B))return!1;throw Error("non exhaustive match")}}),s=Ln(a,I=>{const B=I.LONGER_ALT;if(B)return za(B)?Ln(B,k=>nle(a,k)):[nle(a,B)]}),l=Ln(a,I=>I.PUSH_MODE),d=Ln(a,I=>Vn(I,"POP_MODE"))});let u;n("Line Terminator Handling",()=>{const I=Kxe(e.lineTerminatorCharacters);u=Ln(a,B=>!1),e.positionTracking!=="onlyOffset"&&(u=Ln(a,B=>Vn(B,"LINE_BREAKS")?!!B.LINE_BREAKS:Pxe(B,I)===!1&&Vq(I,B.PATTERN)))});let g,p,m,f;n("Misc Mapping #2",()=>{g=Ln(a,Uxe),p=Ln(i,LRt),m=js(a,(I,B)=>{const w=B.GROUP;return us(w)&&w!==ls.SKIPPED&&(I[w]=[]),I},{}),f=Ln(i,(I,B)=>({pattern:i[B],longerAlt:s[B],canLineTerminator:u[B],isCustom:g[B],short:p[B],group:o[B],push:l[B],pop:d[B],tokenTypeIdx:A[B],tokenType:a[B]}))});let b=!0,C=[];return e.safeMode||n("First Char Optimization",()=>{C=js(a,(I,B,w)=>{if(typeof B.PATTERN=="string"){const k=B.PATTERN.charCodeAt(0),_=qp(k);L9(I,_,f[w])}else if(za(B.START_CHARS_HINT)){let k;na(B.START_CHARS_HINT,_=>{const D=typeof _=="string"?_.charCodeAt(0):_,x=qp(D);k!==x&&(k=x,L9(I,x,f[w]))})}else if(tg(B.PATTERN))if(B.PATTERN.unicode)b=!1,e.ensureOptimizations&&y6(`${T_} Unable to analyze < ${B.PATTERN.toString()} > pattern. + The regexp unicode flag is not currently supported by the regexp-to-ast library. + This will disable the lexer's first char optimizations. + For details See: https://chevrotain.io/docs/guide/resolving_lexer_errors.html#UNICODE_OPTIMIZE`);else{const k=gRt(B.PATTERN,e.ensureOptimizations);Tr(k)&&(b=!1),na(k,_=>{L9(I,_,f[w])})}else e.ensureOptimizations&&y6(`${T_} TokenType: <${B.name}> is using a custom token pattern without providing parameter. + This will disable the lexer's first char optimizations. + For details See: https://chevrotain.io/docs/guide/resolving_lexer_errors.html#CUSTOM_OPTIMIZE`),b=!1;return I},[])}),{emptyGroups:m,patternIdxToConfig:f,charCodeToPatternIdxToConfig:C,hasCustom:r,canBeOptimized:b}}function fRt(t,e){let n=[];const a=CRt(t);n=n.concat(a.errors);const r=ERt(a.valid),i=r.valid;return n=n.concat(r.errors),n=n.concat(bRt(i)),n=n.concat(DRt(i)),n=n.concat(xRt(i,e)),n=n.concat(SRt(i)),n}function bRt(t){let e=[];const n=Yc(t,a=>tg(a[of]));return e=e.concat(BRt(n)),e=e.concat(wRt(n)),e=e.concat(kRt(n)),e=e.concat(vRt(n)),e=e.concat(yRt(n)),e}function CRt(t){const e=Yc(t,r=>!Vn(r,of)),n=Ln(e,r=>({message:"Token Type: ->"+r.name+"<- missing static 'PATTERN' property",type:Ci.MISSING_PATTERN,tokenTypes:[r]})),a=BN(t,e);return{errors:n,valid:a}}function ERt(t){const e=Yc(t,r=>{const i=r[of];return!tg(i)&&!ug(i)&&!Vn(i,"exec")&&!us(i)}),n=Ln(e,r=>({message:"Token Type: ->"+r.name+"<- static 'PATTERN' can only be a RegExp, a Function matching the {CustomPatternMatcherFunc} type or an Object matching the {ICustomPattern} interface.",type:Ci.INVALID_PATTERN,tokenTypes:[r]})),a=BN(t,e);return{errors:n,valid:a}}const IRt=/[^\\][$]/;function BRt(t){class e extends lN{constructor(){super(...arguments),this.found=!1}visitEndAnchor(i){this.found=!0}}const n=Yc(t,r=>{const i=r.PATTERN;try{const A=wN(i),o=new e;return o.visit(A),o.found}catch{return IRt.test(i.source)}});return Ln(n,r=>({message:`Unexpected RegExp Anchor Error: + Token Type: ->`+r.name+`<- static 'PATTERN' cannot contain end of input anchor '$' + See chevrotain.io/docs/guide/resolving_lexer_errors.html#ANCHORS for details.`,type:Ci.EOI_ANCHOR_FOUND,tokenTypes:[r]}))}function yRt(t){const e=Yc(t,a=>a.PATTERN.test(""));return Ln(e,a=>({message:"Token Type: ->"+a.name+"<- static 'PATTERN' must not match an empty string",type:Ci.EMPTY_MATCH_PATTERN,tokenTypes:[a]}))}const QRt=/[^\\[][\^]|^\^/;function wRt(t){class e extends lN{constructor(){super(...arguments),this.found=!1}visitStartAnchor(i){this.found=!0}}const n=Yc(t,r=>{const i=r.PATTERN;try{const A=wN(i),o=new e;return o.visit(A),o.found}catch{return QRt.test(i.source)}});return Ln(n,r=>({message:`Unexpected RegExp Anchor Error: + Token Type: ->`+r.name+`<- static 'PATTERN' cannot contain start of input anchor '^' + See https://chevrotain.io/docs/guide/resolving_lexer_errors.html#ANCHORS for details.`,type:Ci.SOI_ANCHOR_FOUND,tokenTypes:[r]}))}function kRt(t){const e=Yc(t,a=>{const r=a[of];return r instanceof RegExp&&(r.multiline||r.global)});return Ln(e,a=>({message:"Token Type: ->"+a.name+"<- static 'PATTERN' may NOT contain global('g') or multiline('m')",type:Ci.UNSUPPORTED_FLAGS_FOUND,tokenTypes:[a]}))}function vRt(t){const e=[];let n=Ln(t,i=>js(t,(A,o)=>(i.PATTERN.source===o.PATTERN.source&&!Po(e,o)&&o.PATTERN!==ls.NA&&(e.push(o),A.push(o)),A),[]));n=k0(n);const a=Yc(n,i=>i.length>1);return Ln(a,i=>{const A=Ln(i,s=>s.name);return{message:`The same RegExp pattern ->${Dl(i).PATTERN}<-has been used in all of the following Token Types: ${A.join(", ")} <-`,type:Ci.DUPLICATE_PATTERNS_FOUND,tokenTypes:i}})}function DRt(t){const e=Yc(t,a=>{if(!Vn(a,"GROUP"))return!1;const r=a.GROUP;return r!==ls.SKIPPED&&r!==ls.NA&&!us(r)});return Ln(e,a=>({message:"Token Type: ->"+a.name+"<- static 'GROUP' can only be Lexer.SKIPPED/Lexer.NA/A String",type:Ci.INVALID_GROUP_TYPE_FOUND,tokenTypes:[a]}))}function xRt(t,e){const n=Yc(t,r=>r.PUSH_MODE!==void 0&&!Po(e,r.PUSH_MODE));return Ln(n,r=>({message:`Token Type: ->${r.name}<- static 'PUSH_MODE' value cannot refer to a Lexer Mode ->${r.PUSH_MODE}<-which does not exist`,type:Ci.PUSH_MODE_DOES_NOT_EXIST,tokenTypes:[r]}))}function SRt(t){const e=[],n=js(t,(a,r,i)=>{const A=r.PATTERN;return A===ls.NA||(us(A)?a.push({str:A,idx:i,tokenType:r}):tg(A)&&RRt(A)&&a.push({str:A.source,idx:i,tokenType:r})),a},[]);return na(t,(a,r)=>{na(n,({str:i,idx:A,tokenType:o})=>{if(r${o.name}<- can never be matched. +Because it appears AFTER the Token Type ->${a.name}<-in the lexer's definition. +See https://chevrotain.io/docs/guide/resolving_lexer_errors.html#UNREACHABLE`;e.push({message:s,type:Ci.UNREACHABLE_PATTERN,tokenTypes:[a,o]})}})}),e}function _Rt(t,e){if(tg(e)){const n=e.exec(t);return n!==null&&n.index===0}else{if(ug(e))return e(t,0,[],{});if(Vn(e,"exec"))return e.exec(t,0,[],{});if(typeof e=="string")return e===t;throw Error("non exhaustive match")}}function RRt(t){return yE([".","\\","[","]","|","^","$","(",")","?","*","+","{"],n=>t.source.indexOf(n)!==-1)===void 0}function Ale(t){const e=t.ignoreCase?"i":"";return new RegExp(`^(?:${t.source})`,e)}function ole(t){const e=t.ignoreCase?"iy":"y";return new RegExp(`${t.source}`,e)}function NRt(t,e,n){const a=[];return Vn(t,Yy)||a.push({message:"A MultiMode Lexer cannot be initialized without a <"+Yy+`> property in its definition +`,type:Ci.MULTI_MODE_LEXER_WITHOUT_DEFAULT_MODE}),Vn(t,FD)||a.push({message:"A MultiMode Lexer cannot be initialized without a <"+FD+`> property in its definition +`,type:Ci.MULTI_MODE_LEXER_WITHOUT_MODES_PROPERTY}),Vn(t,FD)&&Vn(t,Yy)&&!Vn(t.modes,t.defaultMode)&&a.push({message:`A MultiMode Lexer cannot be initialized with a ${Yy}: <${t.defaultMode}>which does not exist +`,type:Ci.MULTI_MODE_LEXER_DEFAULT_MODE_VALUE_DOES_NOT_EXIST}),Vn(t,FD)&&na(t.modes,(r,i)=>{na(r,(A,o)=>{if(ng(A))a.push({message:`A Lexer cannot be initialized using an undefined Token Type. Mode:<${i}> at index: <${o}> +`,type:Ci.LEXER_DEFINITION_CANNOT_CONTAIN_UNDEFINED});else if(Vn(A,"LONGER_ALT")){const s=za(A.LONGER_ALT)?A.LONGER_ALT:[A.LONGER_ALT];na(s,l=>{!ng(l)&&!Po(r,l)&&a.push({message:`A MultiMode Lexer cannot be initialized with a longer_alt <${l.name}> on token <${A.name}> outside of mode <${i}> +`,type:Ci.MULTI_MODE_LEXER_LONGER_ALT_NOT_IN_CURRENT_MODE})})}})}),a}function MRt(t,e,n){const a=[];let r=!1;const i=k0(Cl(aA(t.modes))),A=yN(i,s=>s[of]===ls.NA),o=Kxe(n);return e&&na(A,s=>{const l=Pxe(s,o);if(l!==!1){const u={message:GRt(s,l),type:l.issue,tokenType:s};a.push(u)}else Vn(s,"LINE_BREAKS")?s.LINE_BREAKS===!0&&(r=!0):Vq(o,s.PATTERN)&&(r=!0)}),e&&!r&&a.push({message:`Warning: No LINE_BREAKS Found. + This Lexer has been defined to track line and column information, + But none of the Token Types can be identified as matching a line terminator. + See https://chevrotain.io/docs/guide/resolving_lexer_errors.html#LINE_BREAKS + for details.`,type:Ci.NO_LINE_BREAKS_FLAGS}),a}function FRt(t){const e={},n=Pc(t);return na(n,a=>{const r=t[a];if(za(r))e[a]=[];else throw Error("non exhaustive match")}),e}function Uxe(t){const e=t.PATTERN;if(tg(e))return!1;if(ug(e))return!0;if(Vn(e,"exec"))return!0;if(us(e))return!1;throw Error("non exhaustive match")}function LRt(t){return us(t)&&t.length===1?t.charCodeAt(0):!1}const TRt={test:function(t){const e=t.length;for(let n=this.lastIndex;n Token Type + Root cause: ${e.errMsg}. + For details See: https://chevrotain.io/docs/guide/resolving_lexer_errors.html#IDENTIFY_TERMINATOR`;if(e.issue===Ci.CUSTOM_LINE_BREAK)return`Warning: A Custom Token Pattern should specify the option. + The problem is in the <${t.name}> Token Type + For details See: https://chevrotain.io/docs/guide/resolving_lexer_errors.html#CUSTOM_LINE_BREAK`;throw Error("non exhaustive match")}function Kxe(t){return Ln(t,n=>us(n)?n.charCodeAt(0):n)}function L9(t,e,n){t[e]===void 0?t[e]=[n]:t[e].push(n)}const qy=256;let A1=[];function qp(t){return t255?255+~~(t/255):t}}function D0(t,e){const n=t.tokenTypeIdx;return n===e.tokenTypeIdx?!0:e.isParent===!0&&e.categoryMatchesMap[n]===!0}function G_(t,e){return t.tokenTypeIdx===e.tokenTypeIdx}let sle=1;const Hxe={};function x0(t){const e=URt(t);PRt(e),HRt(e),KRt(e),na(e,n=>{n.isParent=n.categoryMatches.length>0})}function URt(t){let e=qA(t),n=t,a=!0;for(;a;){n=k0(Cl(Ln(n,i=>i.CATEGORIES)));const r=BN(n,e);e=e.concat(r),Tr(r)?a=!1:n=r}return e}function PRt(t){na(t,e=>{qxe(e)||(Hxe[sle]=e,e.tokenTypeIdx=sle++),cle(e)&&!za(e.CATEGORIES)&&(e.CATEGORIES=[e.CATEGORIES]),cle(e)||(e.CATEGORIES=[]),YRt(e)||(e.categoryMatches=[]),qRt(e)||(e.categoryMatchesMap={})})}function KRt(t){na(t,e=>{e.categoryMatches=[],na(e.categoryMatchesMap,(n,a)=>{e.categoryMatches.push(Hxe[a].tokenTypeIdx)})})}function HRt(t){na(t,e=>{Yxe([],e)})}function Yxe(t,e){na(t,n=>{e.categoryMatchesMap[n.tokenTypeIdx]=!0}),na(e.CATEGORIES,n=>{const a=t.concat(e);Po(a,n)||Yxe(a,n)})}function qxe(t){return Vn(t,"tokenTypeIdx")}function cle(t){return Vn(t,"CATEGORIES")}function YRt(t){return Vn(t,"categoryMatches")}function qRt(t){return Vn(t,"categoryMatchesMap")}function jRt(t){return Vn(t,"tokenTypeIdx")}const k6={buildUnableToPopLexerModeMessage(t){return`Unable to pop Lexer Mode after encountering Token ->${t.image}<- The Mode Stack is empty`},buildUnexpectedCharactersMessage(t,e,n,a,r){return`unexpected character: ->${t.charAt(e)}<- at offset: ${e}, skipped ${n} characters.`}};var Ci;(function(t){t[t.MISSING_PATTERN=0]="MISSING_PATTERN",t[t.INVALID_PATTERN=1]="INVALID_PATTERN",t[t.EOI_ANCHOR_FOUND=2]="EOI_ANCHOR_FOUND",t[t.UNSUPPORTED_FLAGS_FOUND=3]="UNSUPPORTED_FLAGS_FOUND",t[t.DUPLICATE_PATTERNS_FOUND=4]="DUPLICATE_PATTERNS_FOUND",t[t.INVALID_GROUP_TYPE_FOUND=5]="INVALID_GROUP_TYPE_FOUND",t[t.PUSH_MODE_DOES_NOT_EXIST=6]="PUSH_MODE_DOES_NOT_EXIST",t[t.MULTI_MODE_LEXER_WITHOUT_DEFAULT_MODE=7]="MULTI_MODE_LEXER_WITHOUT_DEFAULT_MODE",t[t.MULTI_MODE_LEXER_WITHOUT_MODES_PROPERTY=8]="MULTI_MODE_LEXER_WITHOUT_MODES_PROPERTY",t[t.MULTI_MODE_LEXER_DEFAULT_MODE_VALUE_DOES_NOT_EXIST=9]="MULTI_MODE_LEXER_DEFAULT_MODE_VALUE_DOES_NOT_EXIST",t[t.LEXER_DEFINITION_CANNOT_CONTAIN_UNDEFINED=10]="LEXER_DEFINITION_CANNOT_CONTAIN_UNDEFINED",t[t.SOI_ANCHOR_FOUND=11]="SOI_ANCHOR_FOUND",t[t.EMPTY_MATCH_PATTERN=12]="EMPTY_MATCH_PATTERN",t[t.NO_LINE_BREAKS_FLAGS=13]="NO_LINE_BREAKS_FLAGS",t[t.UNREACHABLE_PATTERN=14]="UNREACHABLE_PATTERN",t[t.IDENTIFY_TERMINATOR=15]="IDENTIFY_TERMINATOR",t[t.CUSTOM_LINE_BREAK=16]="CUSTOM_LINE_BREAK",t[t.MULTI_MODE_LEXER_LONGER_ALT_NOT_IN_CURRENT_MODE=17]="MULTI_MODE_LEXER_LONGER_ALT_NOT_IN_CURRENT_MODE"})(Ci||(Ci={}));const jy={deferDefinitionErrorsHandling:!1,positionTracking:"full",lineTerminatorsPattern:/\n|\r\n?/g,lineTerminatorCharacters:[` +`,"\r"],ensureOptimizations:!1,safeMode:!1,errorMessageProvider:k6,traceInitPerf:!1,skipValidations:!1,recoveryEnabled:!0};Object.freeze(jy);class ls{constructor(e,n=jy){if(this.lexerDefinition=e,this.lexerDefinitionErrors=[],this.lexerDefinitionWarning=[],this.patternIdxToConfig={},this.charCodeToPatternIdxToConfig={},this.modes=[],this.emptyGroups={},this.trackStartLines=!0,this.trackEndLines=!0,this.hasCustom=!1,this.canModeBeOptimized={},this.TRACE_INIT=(r,i)=>{if(this.traceInitPerf===!0){this.traceInitIndent++;const A=new Array(this.traceInitIndent+1).join(" ");this.traceInitIndent <${r}>`);const{time:o,value:s}=Fxe(i),l=o>10?console.warn:console.log;return this.traceInitIndent time: ${o}ms`),this.traceInitIndent--,s}else return i()},typeof n=="boolean")throw Error(`The second argument to the Lexer constructor is now an ILexerConfig Object. +a boolean 2nd argument is no longer supported`);this.config=qs({},jy,n);const a=this.config.traceInitPerf;a===!0?(this.traceInitMaxIdent=1/0,this.traceInitPerf=!0):typeof a=="number"&&(this.traceInitMaxIdent=a,this.traceInitPerf=!0),this.traceInitIndent=-1,this.TRACE_INIT("Lexer Constructor",()=>{let r,i=!0;this.TRACE_INIT("Lexer Config handling",()=>{if(this.config.lineTerminatorsPattern===jy.lineTerminatorsPattern)this.config.lineTerminatorsPattern=TRt;else if(this.config.lineTerminatorCharacters===jy.lineTerminatorCharacters)throw Error(`Error: Missing property on the Lexer config. + For details See: https://chevrotain.io/docs/guide/resolving_lexer_errors.html#MISSING_LINE_TERM_CHARS`);if(n.safeMode&&n.ensureOptimizations)throw Error('"safeMode" and "ensureOptimizations" flags are mutually exclusive.');this.trackStartLines=/full|onlyStart/i.test(this.config.positionTracking),this.trackEndLines=/full/i.test(this.config.positionTracking),za(e)?r={modes:{defaultMode:qA(e)},defaultMode:Yy}:(i=!1,r=qA(e))}),this.config.skipValidations===!1&&(this.TRACE_INIT("performRuntimeChecks",()=>{this.lexerDefinitionErrors=this.lexerDefinitionErrors.concat(NRt(r,this.trackStartLines,this.config.lineTerminatorCharacters))}),this.TRACE_INIT("performWarningRuntimeChecks",()=>{this.lexerDefinitionWarning=this.lexerDefinitionWarning.concat(MRt(r,this.trackStartLines,this.config.lineTerminatorCharacters))})),r.modes=r.modes?r.modes:{},na(r.modes,(o,s)=>{r.modes[s]=yN(o,l=>ng(l))});const A=Pc(r.modes);if(na(r.modes,(o,s)=>{this.TRACE_INIT(`Mode: <${s}> processing`,()=>{if(this.modes.push(s),this.config.skipValidations===!1&&this.TRACE_INIT("validatePatterns",()=>{this.lexerDefinitionErrors=this.lexerDefinitionErrors.concat(fRt(o,A))}),Tr(this.lexerDefinitionErrors)){x0(o);let l;this.TRACE_INIT("analyzeTokenTypes",()=>{l=hRt(o,{lineTerminatorCharacters:this.config.lineTerminatorCharacters,positionTracking:n.positionTracking,ensureOptimizations:n.ensureOptimizations,safeMode:n.safeMode,tracer:this.TRACE_INIT})}),this.patternIdxToConfig[s]=l.patternIdxToConfig,this.charCodeToPatternIdxToConfig[s]=l.charCodeToPatternIdxToConfig,this.emptyGroups=qs({},this.emptyGroups,l.emptyGroups),this.hasCustom=l.hasCustom||this.hasCustom,this.canModeBeOptimized[s]=l.canBeOptimized}})}),this.defaultMode=r.defaultMode,!Tr(this.lexerDefinitionErrors)&&!this.config.deferDefinitionErrorsHandling){const s=Ln(this.lexerDefinitionErrors,l=>l.message).join(`----------------------- +`);throw new Error(`Errors detected in definition of Lexer: +`+s)}na(this.lexerDefinitionWarning,o=>{Mxe(o.message)}),this.TRACE_INIT("Choosing sub-methods implementations",()=>{if(Oxe?(this.chopInput=EE,this.match=this.matchWithTest):(this.updateLastIndex=Xi,this.match=this.matchWithExec),i&&(this.handleModes=Xi),this.trackStartLines===!1&&(this.computeNewColumn=EE),this.trackEndLines===!1&&(this.updateTokenEndLineColumnLocation=Xi),/full/i.test(this.config.positionTracking))this.createTokenInstance=this.createFullToken;else if(/onlyStart/i.test(this.config.positionTracking))this.createTokenInstance=this.createStartOnlyToken;else if(/onlyOffset/i.test(this.config.positionTracking))this.createTokenInstance=this.createOffsetOnlyToken;else throw Error(`Invalid config option: "${this.config.positionTracking}"`);this.hasCustom?(this.addToken=this.addTokenUsingPush,this.handlePayload=this.handlePayloadWithCustom):(this.addToken=this.addTokenUsingMemberAccess,this.handlePayload=this.handlePayloadNoCustom)}),this.TRACE_INIT("Failed Optimization Warnings",()=>{const o=js(this.canModeBeOptimized,(s,l,d)=>(l===!1&&s.push(d),s),[]);if(n.ensureOptimizations&&!Tr(o))throw Error(`Lexer Modes: < ${o.join(", ")} > cannot be optimized. + Disable the "ensureOptimizations" lexer config flag to silently ignore this and run the lexer in an un-optimized mode. + Or inspect the console log for details on how to resolve these issues.`)}),this.TRACE_INIT("clearRegExpParserCache",()=>{uRt()}),this.TRACE_INIT("toFastProperties",()=>{Lxe(this)})})}tokenize(e,n=this.defaultMode){if(!Tr(this.lexerDefinitionErrors)){const r=Ln(this.lexerDefinitionErrors,i=>i.message).join(`----------------------- +`);throw new Error(`Unable to Tokenize because Errors detected in definition of Lexer: +`+r)}return this.tokenizeInternal(e,n)}tokenizeInternal(e,n){let a,r,i,A,o,s,l,d,u,g,p,m,f,b,C;const I=e,B=I.length;let w=0,k=0;const _=this.hasCustom?0:Math.floor(e.length/10),D=new Array(_),x=[];let S=this.trackStartLines?1:void 0,F=this.trackStartLines?1:void 0;const M=FRt(this.emptyGroups),O=this.trackStartLines,K=this.config.lineTerminatorsPattern;let R=0,G=[],T=[];const L=[],U=[];Object.freeze(U);let H;function q(){return G}function P(ce){const te=qp(ce),he=T[te];return he===void 0?U:he}const j=ce=>{if(L.length===1&&ce.tokenType.PUSH_MODE===void 0){const te=this.config.errorMessageProvider.buildUnableToPopLexerModeMessage(ce);x.push({offset:ce.startOffset,line:ce.startLine,column:ce.startColumn,length:ce.image.length,message:te})}else{L.pop();const te=BE(L);G=this.patternIdxToConfig[te],T=this.charCodeToPatternIdxToConfig[te],R=G.length;const he=this.canModeBeOptimized[te]&&this.config.safeMode===!1;T&&he?H=P:H=q}};function Z(ce){L.push(ce),T=this.charCodeToPatternIdxToConfig[ce],G=this.patternIdxToConfig[ce],R=G.length,R=G.length;const te=this.canModeBeOptimized[ce]&&this.config.safeMode===!1;T&&te?H=P:H=q}Z.call(this,n);let $;const X=this.config.recoveryEnabled;for(;ws.length){s=A,l=d,$=Ae;break}}}break}}if(s!==null){if(u=s.length,g=$.group,g!==void 0&&(p=$.tokenTypeIdx,m=this.createTokenInstance(s,w,p,$.tokenType,S,F,u),this.handlePayload(m,l),g===!1?k=this.addToken(D,k,m):M[g].push(m)),e=this.chopInput(e,u),w=w+u,F=this.computeNewColumn(F,u),O===!0&&$.canLineTerminator===!0){let ae=0,se,oe;K.lastIndex=0;do se=K.test(s),se===!0&&(oe=K.lastIndex-1,ae++);while(se===!0);ae!==0&&(S=S+ae,F=u-oe,this.updateTokenEndLineColumnLocation(m,g,oe,ae,S,F,u))}this.handleModes($,j,Z,m)}else{const ae=w,se=S,oe=F;let Ae=X===!1;for(;Ae===!1&&w ${OC(t)} <--`:`token of type --> ${t.name} <--`} but found --> '${e.image}' <--`},buildNotAllInputParsedMessage({firstRedundant:t,ruleName:e}){return"Redundant input, expecting EOF but found: "+t.image},buildNoViableAltMessage({expectedPathsPerAlt:t,actual:e,previous:n,customUserDescription:a,ruleName:r}){const i="Expecting: ",o=` +but found: '`+Dl(e).image+"'";if(a)return i+a+o;{const s=js(t,(g,p)=>g.concat(p),[]),l=Ln(s,g=>`[${Ln(g,p=>OC(p)).join(", ")}]`),u=`one of these possible Token sequences: +${Ln(l,(g,p)=>` ${p+1}. ${g}`).join(` +`)}`;return i+u+o}},buildEarlyExitMessage({expectedIterationPaths:t,actual:e,customUserDescription:n,ruleName:a}){const r="Expecting: ",A=` +but found: '`+Dl(e).image+"'";if(n)return r+n+A;{const s=`expecting at least one iteration which starts with one of these possible Token sequences:: + <${Ln(t,l=>`[${Ln(l,d=>OC(d)).join(",")}]`).join(" ,")}>`;return r+s+A}}};Object.freeze(gC);const WRt={buildRuleNotFoundError(t,e){return"Invalid grammar, reference to a rule which is not defined: ->"+e.nonTerminalName+`<- +inside top level rule: ->`+t.name+"<-"}},vh={buildDuplicateFoundError(t,e){function n(d){return d instanceof Jr?d.terminalType.name:d instanceof Lo?d.nonTerminalName:""}const a=t.name,r=Dl(e),i=r.idx,A=od(r),o=n(r),s=i>0;let l=`->${A}${s?i:""}<- ${o?`with argument: ->${o}<-`:""} + appears more than once (${e.length} times) in the top level rule: ->${a}<-. + For further details see: https://chevrotain.io/docs/FAQ.html#NUMERICAL_SUFFIXES + `;return l=l.replace(/[ \t]+/g," "),l=l.replace(/\s\s+/g,` +`),l},buildNamespaceConflictError(t){return`Namespace conflict found in grammar. +The grammar has both a Terminal(Token) and a Non-Terminal(Rule) named: <${t.name}>. +To resolve this make sure each Terminal and Non-Terminal names are unique +This is easy to accomplish by using the convention that Terminal names start with an uppercase letter +and Non-Terminal names start with a lower case letter.`},buildAlternationPrefixAmbiguityError(t){const e=Ln(t.prefixPath,r=>OC(r)).join(", "),n=t.alternation.idx===0?"":t.alternation.idx;return`Ambiguous alternatives: <${t.ambiguityIndices.join(" ,")}> due to common lookahead prefix +in inside <${t.topLevelRule.name}> Rule, +<${e}> may appears as a prefix path in all these alternatives. +See: https://chevrotain.io/docs/guide/resolving_grammar_errors.html#COMMON_PREFIX +For Further details.`},buildAlternationAmbiguityError(t){const e=Ln(t.prefixPath,r=>OC(r)).join(", "),n=t.alternation.idx===0?"":t.alternation.idx;let a=`Ambiguous Alternatives Detected: <${t.ambiguityIndices.join(" ,")}> in inside <${t.topLevelRule.name}> Rule, +<${e}> may appears as a prefix path in all these alternatives. +`;return a=a+`See: https://chevrotain.io/docs/guide/resolving_grammar_errors.html#AMBIGUOUS_ALTERNATIVES +For Further details.`,a},buildEmptyRepetitionError(t){let e=od(t.repetition);return t.repetition.idx!==0&&(e+=t.repetition.idx),`The repetition <${e}> within Rule <${t.topLevelRule.name}> can never consume any tokens. +This could lead to an infinite loop.`},buildTokenNameError(t){return"deprecated"},buildEmptyAlternationError(t){return`Ambiguous empty alternative: <${t.emptyChoiceIdx+1}> in inside <${t.topLevelRule.name}> Rule. +Only the last alternative may be an empty alternative.`},buildTooManyAlternativesError(t){return`An Alternation cannot have more than 256 alternatives: + inside <${t.topLevelRule.name}> Rule. + has ${t.alternation.definition.length+1} alternatives.`},buildLeftRecursionError(t){const e=t.topLevelRule.name,n=Ln(t.leftRecursionPath,i=>i.name),a=`${e} --> ${n.concat([e]).join(" --> ")}`;return`Left Recursion found in grammar. +rule: <${e}> can be invoked from itself (directly or indirectly) +without consuming any Tokens. The grammar path that causes this is: + ${a} + To fix this refactor your grammar to remove the left recursion. +see: https://en.wikipedia.org/wiki/LL_parser#Left_factoring.`},buildInvalidRuleNameError(t){return"deprecated"},buildDuplicateRuleNameError(t){let e;return t.topLevelRule instanceof sI?e=t.topLevelRule.name:e=t.topLevelRule,`Duplicate definition, rule: ->${e}<- is already defined in the grammar: ->${t.grammarName}<-`}};function ZRt(t,e){const n=new VRt(t,e);return n.resolveRefs(),n.errors}class VRt extends cI{constructor(e,n){super(),this.nameToTopRule=e,this.errMsgProvider=n,this.errors=[]}resolveRefs(){na(aA(this.nameToTopRule),e=>{this.currTopLevel=e,e.accept(this)})}visitNonTerminal(e){const n=this.nameToTopRule[e.nonTerminalName];if(n)e.referencedRule=n;else{const a=this.errMsgProvider.buildRuleNotFoundError(this.currTopLevel,e);this.errors.push({message:a,type:To.UNRESOLVED_SUBRULE_REF,ruleName:this.currTopLevel.name,unresolvedRefName:e.nonTerminalName})}}}class XRt extends QN{constructor(e,n){super(),this.topProd=e,this.path=n,this.possibleTokTypes=[],this.nextProductionName="",this.nextProductionOccurrence=0,this.found=!1,this.isAtEndOfPath=!1}startWalking(){if(this.found=!1,this.path.ruleStack[0]!==this.topProd.name)throw Error("The path does not start with the walker's top Rule!");return this.ruleStack=qA(this.path.ruleStack).reverse(),this.occurrenceStack=qA(this.path.occurrenceStack).reverse(),this.ruleStack.pop(),this.occurrenceStack.pop(),this.updateExpectedNext(),this.walk(this.topProd),this.possibleTokTypes}walk(e,n=[]){this.found||super.walk(e,n)}walkProdRef(e,n,a){if(e.referencedRule.name===this.nextProductionName&&e.idx===this.nextProductionOccurrence){const r=n.concat(a);this.updateExpectedNext(),this.walk(e.referencedRule,r)}}updateExpectedNext(){Tr(this.ruleStack)?(this.nextProductionName="",this.nextProductionOccurrence=0,this.isAtEndOfPath=!0):(this.nextProductionName=this.ruleStack.pop(),this.nextProductionOccurrence=this.occurrenceStack.pop())}}class $Rt extends XRt{constructor(e,n){super(e,n),this.path=n,this.nextTerminalName="",this.nextTerminalOccurrence=0,this.nextTerminalName=this.path.lastTok.name,this.nextTerminalOccurrence=this.path.lastTokOccurrence}walkTerminal(e,n,a){if(this.isAtEndOfPath&&e.terminalType.name===this.nextTerminalName&&e.idx===this.nextTerminalOccurrence&&!this.found){const r=n.concat(a),i=new gs({definition:r});this.possibleTokTypes=v0(i),this.found=!0}}}class kN extends QN{constructor(e,n){super(),this.topRule=e,this.occurrence=n,this.result={token:void 0,occurrence:void 0,isEndOfRule:void 0}}startWalking(){return this.walk(this.topRule),this.result}}class eNt extends kN{walkMany(e,n,a){if(e.idx===this.occurrence){const r=Dl(n.concat(a));this.result.isEndOfRule=r===void 0,r instanceof Jr&&(this.result.token=r.terminalType,this.result.occurrence=r.idx)}else super.walkMany(e,n,a)}}class ble extends kN{walkManySep(e,n,a){if(e.idx===this.occurrence){const r=Dl(n.concat(a));this.result.isEndOfRule=r===void 0,r instanceof Jr&&(this.result.token=r.terminalType,this.result.occurrence=r.idx)}else super.walkManySep(e,n,a)}}class tNt extends kN{walkAtLeastOne(e,n,a){if(e.idx===this.occurrence){const r=Dl(n.concat(a));this.result.isEndOfRule=r===void 0,r instanceof Jr&&(this.result.token=r.terminalType,this.result.occurrence=r.idx)}else super.walkAtLeastOne(e,n,a)}}class Cle extends kN{walkAtLeastOneSep(e,n,a){if(e.idx===this.occurrence){const r=Dl(n.concat(a));this.result.isEndOfRule=r===void 0,r instanceof Jr&&(this.result.token=r.terminalType,this.result.occurrence=r.idx)}else super.walkAtLeastOneSep(e,n,a)}}function v6(t,e,n=[]){n=qA(n);let a=[],r=0;function i(o){return o.concat(FA(t,r+1))}function A(o){const s=v6(i(o),e,n);return a.concat(s)}for(;n.length{Tr(s.definition)===!1&&(a=A(s.definition))}),a;if(o instanceof Jr)n.push(o.terminalType);else throw Error("non exhaustive match")}r++}return a.push({partialPath:n,suffixDef:FA(t,r)}),a}function Wxe(t,e,n,a){const r="EXIT_NONE_TERMINAL",i=[r],A="EXIT_ALTERNATIVE";let o=!1;const s=e.length,l=s-a-1,d=[],u=[];for(u.push({idx:-1,def:t,ruleStack:[],occurrenceStack:[]});!Tr(u);){const g=u.pop();if(g===A){o&&BE(u).idx<=l&&u.pop();continue}const p=g.def,m=g.idx,f=g.ruleStack,b=g.occurrenceStack;if(Tr(p))continue;const C=p[0];if(C===r){const I={idx:m,def:FA(p),ruleStack:kw(f),occurrenceStack:kw(b)};u.push(I)}else if(C instanceof Jr)if(m=0;I--){const B=C.definition[I],w={idx:m,def:B.definition.concat(FA(p)),ruleStack:f,occurrenceStack:b};u.push(w),u.push(A)}else if(C instanceof gs)u.push({idx:m,def:C.definition.concat(FA(p)),ruleStack:f,occurrenceStack:b});else if(C instanceof sI)u.push(nNt(C,m,f,b));else throw Error("non exhaustive match")}return d}function nNt(t,e,n,a){const r=qA(n);r.push(t.name);const i=qA(a);return i.push(1),{idx:e,def:t.definition,ruleStack:r,occurrenceStack:i}}var Ai;(function(t){t[t.OPTION=0]="OPTION",t[t.REPETITION=1]="REPETITION",t[t.REPETITION_MANDATORY=2]="REPETITION_MANDATORY",t[t.REPETITION_MANDATORY_WITH_SEPARATOR=3]="REPETITION_MANDATORY_WITH_SEPARATOR",t[t.REPETITION_WITH_SEPARATOR=4]="REPETITION_WITH_SEPARATOR",t[t.ALTERNATION=5]="ALTERNATION"})(Ai||(Ai={}));function $q(t){if(t instanceof HA||t==="Option")return Ai.OPTION;if(t instanceof bi||t==="Repetition")return Ai.REPETITION;if(t instanceof Vs||t==="RepetitionMandatory")return Ai.REPETITION_MANDATORY;if(t instanceof Xs||t==="RepetitionMandatoryWithSeparator")return Ai.REPETITION_MANDATORY_WITH_SEPARATOR;if(t instanceof bs||t==="RepetitionWithSeparator")return Ai.REPETITION_WITH_SEPARATOR;if(t instanceof Cs||t==="Alternation")return Ai.ALTERNATION;throw Error("non exhaustive match")}function Ele(t){const{occurrence:e,rule:n,prodType:a,maxLookahead:r}=t,i=$q(a);return i===Ai.ALTERNATION?vN(e,n,r):DN(e,n,i,r)}function aNt(t,e,n,a,r,i){const A=vN(t,e,n),o=Xxe(A)?G_:D0;return i(A,a,o,r)}function rNt(t,e,n,a,r,i){const A=DN(t,e,r,n),o=Xxe(A)?G_:D0;return i(A[0],o,a)}function iNt(t,e,n,a){const r=t.length,i=El(t,A=>El(A,o=>o.length===1));if(e)return function(A){const o=Ln(A,s=>s.GATE);for(let s=0;sCl(s)),o=js(A,(s,l,d)=>(na(l,u=>{Vn(s,u.tokenTypeIdx)||(s[u.tokenTypeIdx]=d),na(u.categoryMatches,g=>{Vn(s,g)||(s[g]=d)})}),s),{});return function(){const s=this.LA(1);return o[s.tokenTypeIdx]}}else return function(){for(let A=0;Ai.length===1),r=t.length;if(a&&!n){const i=Cl(t);if(i.length===1&&Tr(i[0].categoryMatches)){const o=i[0].tokenTypeIdx;return function(){return this.LA(1).tokenTypeIdx===o}}else{const A=js(i,(o,s,l)=>(o[s.tokenTypeIdx]=!0,na(s.categoryMatches,d=>{o[d]=!0}),o),[]);return function(){const o=this.LA(1);return A[o.tokenTypeIdx]===!0}}}else return function(){e:for(let i=0;iv6([A],1)),a=Ile(n.length),r=Ln(n,A=>{const o={};return na(A,s=>{const l=T9(s.partialPath);na(l,d=>{o[d]=!0})}),o});let i=n;for(let A=1;A<=e;A++){const o=i;i=Ile(o.length);for(let s=0;s{const C=T9(b.partialPath);na(C,I=>{r[s][I]=!0})})}}}}return a}function vN(t,e,n,a){const r=new Zxe(t,Ai.ALTERNATION,a);return e.accept(r),Vxe(r.result,n)}function DN(t,e,n,a){const r=new Zxe(t,n);e.accept(r);const i=r.result,o=new oNt(e,t,n).startWalking(),s=new gs({definition:i}),l=new gs({definition:o});return Vxe([s,l],a)}function D6(t,e){e:for(let n=0;n{const r=e[a];return n===r||r.categoryMatchesMap[n.tokenTypeIdx]})}function Xxe(t){return El(t,e=>El(e,n=>El(n,a=>Tr(a.categoryMatches))))}function lNt(t){const e=t.lookaheadStrategy.validate({rules:t.rules,tokenTypes:t.tokenTypes,grammarName:t.grammarName});return Ln(e,n=>Object.assign({type:To.CUSTOM_LOOKAHEAD_VALIDATION},n))}function dNt(t,e,n,a){const r=Sc(t,s=>uNt(s,n)),i=QNt(t,e,n),A=Sc(t,s=>ENt(s,n)),o=Sc(t,s=>mNt(s,t,a,n));return r.concat(i,A,o)}function uNt(t,e){const n=new pNt;t.accept(n);const a=n.allProductions,r=_2t(a,gNt),i=Rl(r,o=>o.length>1);return Ln(aA(i),o=>{const s=Dl(o),l=e.buildDuplicateFoundError(t,o),d=od(s),u={message:l,type:To.DUPLICATE_PRODUCTIONS,ruleName:t.name,dslName:d,occurrence:s.idx},g=$xe(s);return g&&(u.parameter=g),u})}function gNt(t){return`${od(t)}_#_${t.idx}_#_${$xe(t)}`}function $xe(t){return t instanceof Jr?t.terminalType.name:t instanceof Lo?t.nonTerminalName:""}class pNt extends cI{constructor(){super(...arguments),this.allProductions=[]}visitNonTerminal(e){this.allProductions.push(e)}visitOption(e){this.allProductions.push(e)}visitRepetitionWithSeparator(e){this.allProductions.push(e)}visitRepetitionMandatory(e){this.allProductions.push(e)}visitRepetitionMandatoryWithSeparator(e){this.allProductions.push(e)}visitRepetition(e){this.allProductions.push(e)}visitAlternation(e){this.allProductions.push(e)}visitTerminal(e){this.allProductions.push(e)}}function mNt(t,e,n,a){const r=[];if(js(e,(A,o)=>o.name===t.name?A+1:A,0)>1){const A=a.buildDuplicateRuleNameError({topLevelRule:t,grammarName:n});r.push({message:A,type:To.DUPLICATE_RULE_NAME,ruleName:t.name})}return r}function hNt(t,e,n){const a=[];let r;return Po(e,t)||(r=`Invalid rule override, rule: ->${t}<- cannot be overridden in the grammar: ->${n}<-as it is not defined in any of the super grammars `,a.push({message:r,type:To.INVALID_RULE_OVERRIDE,ruleName:t})),a}function e1e(t,e,n,a=[]){const r=[],i=o1(e.definition);if(Tr(i))return[];{const A=t.name;Po(i,t)&&r.push({message:n.buildLeftRecursionError({topLevelRule:t,leftRecursionPath:a}),type:To.LEFT_RECURSION,ruleName:A});const s=BN(i,a.concat([t])),l=Sc(s,d=>{const u=qA(a);return u.push(d),e1e(t,d,n,u)});return r.concat(l)}}function o1(t){let e=[];if(Tr(t))return e;const n=Dl(t);if(n instanceof Lo)e.push(n.referencedRule);else if(n instanceof gs||n instanceof HA||n instanceof Vs||n instanceof Xs||n instanceof bs||n instanceof bi)e=e.concat(o1(n.definition));else if(n instanceof Cs)e=Cl(Ln(n.definition,i=>o1(i.definition)));else if(!(n instanceof Jr))throw Error("non exhaustive match");const a=L_(n),r=t.length>1;if(a&&r){const i=FA(t);return e.concat(o1(i))}else return e}class ej extends cI{constructor(){super(...arguments),this.alternations=[]}visitAlternation(e){this.alternations.push(e)}}function fNt(t,e){const n=new ej;t.accept(n);const a=n.alternations;return Sc(a,i=>{const A=kw(i.definition);return Sc(A,(o,s)=>{const l=Wxe([o],[],D0,1);return Tr(l)?[{message:e.buildEmptyAlternationError({topLevelRule:t,alternation:i,emptyChoiceIdx:s}),type:To.NONE_LAST_EMPTY_ALT,ruleName:t.name,occurrence:i.idx,alternative:s+1}]:[]})})}function bNt(t,e,n){const a=new ej;t.accept(a);let r=a.alternations;return r=yN(r,A=>A.ignoreAmbiguities===!0),Sc(r,A=>{const o=A.idx,s=A.maxLookahead||e,l=vN(o,t,s,A),d=BNt(l,A,t,n),u=yNt(l,A,t,n);return d.concat(u)})}class CNt extends cI{constructor(){super(...arguments),this.allProductions=[]}visitRepetitionWithSeparator(e){this.allProductions.push(e)}visitRepetitionMandatory(e){this.allProductions.push(e)}visitRepetitionMandatoryWithSeparator(e){this.allProductions.push(e)}visitRepetition(e){this.allProductions.push(e)}}function ENt(t,e){const n=new ej;t.accept(n);const a=n.alternations;return Sc(a,i=>i.definition.length>255?[{message:e.buildTooManyAlternativesError({topLevelRule:t,alternation:i}),type:To.TOO_MANY_ALTS,ruleName:t.name,occurrence:i.idx}]:[])}function INt(t,e,n){const a=[];return na(t,r=>{const i=new CNt;r.accept(i);const A=i.allProductions;na(A,o=>{const s=$q(o),l=o.maxLookahead||e,d=o.idx,g=DN(d,r,s,l)[0];if(Tr(Cl(g))){const p=n.buildEmptyRepetitionError({topLevelRule:r,repetition:o});a.push({message:p,type:To.NO_NON_EMPTY_LOOKAHEAD,ruleName:r.name})}})}),a}function BNt(t,e,n,a){const r=[],i=js(t,(o,s,l)=>(e.definition[l].ignoreAmbiguities===!0||na(s,d=>{const u=[l];na(t,(g,p)=>{l!==p&&D6(g,d)&&e.definition[p].ignoreAmbiguities!==!0&&u.push(p)}),u.length>1&&!D6(r,d)&&(r.push(d),o.push({alts:u,path:d}))}),o),[]);return Ln(i,o=>{const s=Ln(o.alts,d=>d+1);return{message:a.buildAlternationAmbiguityError({topLevelRule:n,alternation:e,ambiguityIndices:s,prefixPath:o.path}),type:To.AMBIGUOUS_ALTS,ruleName:n.name,occurrence:e.idx,alternatives:o.alts}})}function yNt(t,e,n,a){const r=js(t,(A,o,s)=>{const l=Ln(o,d=>({idx:s,path:d}));return A.concat(l)},[]);return k0(Sc(r,A=>{if(e.definition[A.idx].ignoreAmbiguities===!0)return[];const s=A.idx,l=A.path,d=Yc(r,g=>e.definition[g.idx].ignoreAmbiguities!==!0&&g.idx{const p=[g.idx+1,s+1],m=e.idx===0?"":e.idx;return{message:a.buildAlternationPrefixAmbiguityError({topLevelRule:n,alternation:e,ambiguityIndices:p,prefixPath:g.path}),type:To.AMBIGUOUS_PREFIX_ALTS,ruleName:n.name,occurrence:m,alternatives:p}})}))}function QNt(t,e,n){const a=[],r=Ln(e,i=>i.name);return na(t,i=>{const A=i.name;if(Po(r,A)){const o=n.buildNamespaceConflictError(i);a.push({message:o,type:To.CONFLICT_TOKENS_RULES_NAMESPACE,ruleName:A})}}),a}function wNt(t){const e=Wq(t,{errMsgProvider:WRt}),n={};return na(t.rules,a=>{n[a.name]=a}),ZRt(n,e.errMsgProvider)}function kNt(t){return t=Wq(t,{errMsgProvider:vh}),dNt(t.rules,t.tokenTypes,t.errMsgProvider,t.grammarName)}const t1e="MismatchedTokenException",n1e="NoViableAltException",a1e="EarlyExitException",r1e="NotAllInputParsedException",i1e=[t1e,n1e,a1e,r1e];Object.freeze(i1e);function O_(t){return Po(i1e,t.name)}class xN extends Error{constructor(e,n){super(e),this.token=n,this.resyncedTokens=[],Object.setPrototypeOf(this,new.target.prototype),Error.captureStackTrace&&Error.captureStackTrace(this,this.constructor)}}class A1e extends xN{constructor(e,n,a){super(e,n),this.previousToken=a,this.name=t1e}}class vNt extends xN{constructor(e,n,a){super(e,n),this.previousToken=a,this.name=n1e}}class DNt extends xN{constructor(e,n){super(e,n),this.name=r1e}}class xNt extends xN{constructor(e,n,a){super(e,n),this.previousToken=a,this.name=a1e}}const G9={},o1e="InRuleRecoveryException";class SNt extends Error{constructor(e){super(e),this.name=o1e}}class _Nt{initRecoverable(e){this.firstAfterRepMap={},this.resyncFollows={},this.recoveryEnabled=Vn(e,"recoveryEnabled")?e.recoveryEnabled:ag.recoveryEnabled,this.recoveryEnabled&&(this.attemptInRepetitionRecovery=RNt)}getTokenToInsert(e){const n=Xq(e,"",NaN,NaN,NaN,NaN,NaN,NaN);return n.isInsertedInRecovery=!0,n}canTokenTypeBeInsertedInRecovery(e){return!0}canTokenTypeBeDeletedInRecovery(e){return!0}tryInRepetitionRecovery(e,n,a,r){const i=this.findReSyncTokenType(),A=this.exportLexerState(),o=[];let s=!1;const l=this.LA(1);let d=this.LA(1);const u=()=>{const g=this.LA(0),p=this.errorMessageProvider.buildMismatchTokenMessage({expected:r,actual:l,previous:g,ruleName:this.getCurrRuleFullName()}),m=new A1e(p,l,this.LA(0));m.resyncedTokens=kw(o),this.SAVE_ERROR(m)};for(;!s;)if(this.tokenMatcher(d,r)){u();return}else if(a.call(this)){u(),e.apply(this,n);return}else this.tokenMatcher(d,i)?s=!0:(d=this.SKIP_TOKEN(),this.addToResyncTokens(d,o));this.importLexerState(A)}shouldInRepetitionRecoveryBeTried(e,n,a){return!(a===!1||this.tokenMatcher(this.LA(1),e)||this.isBackTracking()||this.canPerformInRuleRecovery(e,this.getFollowsForInRuleRecovery(e,n)))}getFollowsForInRuleRecovery(e,n){const a=this.getCurrentGrammarPath(e,n);return this.getNextPossibleTokenTypes(a)}tryInRuleRecovery(e,n){if(this.canRecoverWithSingleTokenInsertion(e,n))return this.getTokenToInsert(e);if(this.canRecoverWithSingleTokenDeletion(e)){const a=this.SKIP_TOKEN();return this.consumeToken(),a}throw new SNt("sad sad panda")}canPerformInRuleRecovery(e,n){return this.canRecoverWithSingleTokenInsertion(e,n)||this.canRecoverWithSingleTokenDeletion(e)}canRecoverWithSingleTokenInsertion(e,n){if(!this.canTokenTypeBeInsertedInRecovery(e)||Tr(n))return!1;const a=this.LA(1);return yE(n,i=>this.tokenMatcher(a,i))!==void 0}canRecoverWithSingleTokenDeletion(e){return this.canTokenTypeBeDeletedInRecovery(e)?this.tokenMatcher(this.LA(2),e):!1}isInCurrentRuleReSyncSet(e){const n=this.getCurrFollowKey(),a=this.getFollowSetFromFollowKey(n);return Po(a,e)}findReSyncTokenType(){const e=this.flattenFollowSet();let n=this.LA(1),a=2;for(;;){const r=yE(e,i=>Jxe(n,i));if(r!==void 0)return r;n=this.LA(a),a++}}getCurrFollowKey(){if(this.RULE_STACK.length===1)return G9;const e=this.getLastExplicitRuleShortName(),n=this.getLastExplicitRuleOccurrenceIndex(),a=this.getPreviousExplicitRuleShortName();return{ruleName:this.shortRuleNameToFullName(e),idxInCallingRule:n,inRule:this.shortRuleNameToFullName(a)}}buildFullFollowKeyStack(){const e=this.RULE_STACK,n=this.RULE_OCCURRENCE_STACK;return Ln(e,(a,r)=>r===0?G9:{ruleName:this.shortRuleNameToFullName(a),idxInCallingRule:n[r],inRule:this.shortRuleNameToFullName(e[r-1])})}flattenFollowSet(){const e=Ln(this.buildFullFollowKeyStack(),n=>this.getFollowSetFromFollowKey(n));return Cl(e)}getFollowSetFromFollowKey(e){if(e===G9)return[jp];const n=e.ruleName+e.idxInCallingRule+Txe+e.inRule;return this.resyncFollows[n]}addToResyncTokens(e,n){return this.tokenMatcher(e,jp)||n.push(e),n}reSyncTo(e){const n=[];let a=this.LA(1);for(;this.tokenMatcher(a,e)===!1;)a=this.SKIP_TOKEN(),this.addToResyncTokens(a,n);return kw(n)}attemptInRepetitionRecovery(e,n,a,r,i,A,o){}getCurrentGrammarPath(e,n){const a=this.getHumanReadableRuleStack(),r=qA(this.RULE_OCCURRENCE_STACK);return{ruleStack:a,occurrenceStack:r,lastTok:e,lastTokOccurrence:n}}getHumanReadableRuleStack(){return Ln(this.RULE_STACK,e=>this.shortRuleNameToFullName(e))}}function RNt(t,e,n,a,r,i,A){const o=this.getKeyForAutomaticLookahead(a,r);let s=this.firstAfterRepMap[o];if(s===void 0){const g=this.getCurrRuleFullName(),p=this.getGAstProductions()[g];s=new i(p,r).startWalking(),this.firstAfterRepMap[o]=s}let l=s.token,d=s.occurrence;const u=s.isEndOfRule;this.RULE_STACK.length===1&&u&&l===void 0&&(l=jp,d=1),!(l===void 0||d===void 0)&&this.shouldInRepetitionRecoveryBeTried(l,d,A)&&this.tryInRepetitionRecovery(t,e,n,l)}const NNt=4,lm=8,s1e=1<e1e(n,n,vh))}validateEmptyOrAlternatives(e){return Sc(e,n=>fNt(n,vh))}validateAmbiguousAlternationAlternatives(e,n){return Sc(e,a=>bNt(a,n,vh))}validateSomeNonEmptyLookaheadPath(e,n){return INt(e,n,vh)}buildLookaheadForAlternation(e){return aNt(e.prodOccurrence,e.rule,e.maxLookahead,e.hasPredicates,e.dynamicTokensEnabled,iNt)}buildLookaheadForOptional(e){return rNt(e.prodOccurrence,e.rule,e.maxLookahead,e.dynamicTokensEnabled,$q(e.prodType),ANt)}}class MNt{initLooksAhead(e){this.dynamicTokensEnabled=Vn(e,"dynamicTokensEnabled")?e.dynamicTokensEnabled:ag.dynamicTokensEnabled,this.maxLookahead=Vn(e,"maxLookahead")?e.maxLookahead:ag.maxLookahead,this.lookaheadStrategy=Vn(e,"lookaheadStrategy")?e.lookaheadStrategy:new tj({maxLookahead:this.maxLookahead}),this.lookAheadFuncsCache=new Map}preComputeLookaheadFunctions(e){na(e,n=>{this.TRACE_INIT(`${n.name} Rule Lookahead`,()=>{const{alternation:a,repetition:r,option:i,repetitionMandatory:A,repetitionMandatoryWithSeparator:o,repetitionWithSeparator:s}=LNt(n);na(a,l=>{const d=l.idx===0?"":l.idx;this.TRACE_INIT(`${od(l)}${d}`,()=>{const u=this.lookaheadStrategy.buildLookaheadForAlternation({prodOccurrence:l.idx,rule:n,maxLookahead:l.maxLookahead||this.maxLookahead,hasPredicates:l.hasPredicates,dynamicTokensEnabled:this.dynamicTokensEnabled}),g=O9(this.fullRuleNameToShort[n.name],s1e,l.idx);this.setLaFuncCache(g,u)})}),na(r,l=>{this.computeLookaheadFunc(n,l.idx,x6,"Repetition",l.maxLookahead,od(l))}),na(i,l=>{this.computeLookaheadFunc(n,l.idx,c1e,"Option",l.maxLookahead,od(l))}),na(A,l=>{this.computeLookaheadFunc(n,l.idx,S6,"RepetitionMandatory",l.maxLookahead,od(l))}),na(o,l=>{this.computeLookaheadFunc(n,l.idx,s1,"RepetitionMandatoryWithSeparator",l.maxLookahead,od(l))}),na(s,l=>{this.computeLookaheadFunc(n,l.idx,_6,"RepetitionWithSeparator",l.maxLookahead,od(l))})})})}computeLookaheadFunc(e,n,a,r,i,A){this.TRACE_INIT(`${A}${n===0?"":n}`,()=>{const o=this.lookaheadStrategy.buildLookaheadForOptional({prodOccurrence:n,rule:e,maxLookahead:i||this.maxLookahead,dynamicTokensEnabled:this.dynamicTokensEnabled,prodType:r}),s=O9(this.fullRuleNameToShort[e.name],a,n);this.setLaFuncCache(s,o)})}getKeyForAutomaticLookahead(e,n){const a=this.getLastExplicitRuleShortName();return O9(a,e,n)}getLaFuncFromCache(e){return this.lookAheadFuncsCache.get(e)}setLaFuncCache(e,n){this.lookAheadFuncsCache.set(e,n)}}class FNt extends cI{constructor(){super(...arguments),this.dslMethods={option:[],alternation:[],repetition:[],repetitionWithSeparator:[],repetitionMandatory:[],repetitionMandatoryWithSeparator:[]}}reset(){this.dslMethods={option:[],alternation:[],repetition:[],repetitionWithSeparator:[],repetitionMandatory:[],repetitionMandatoryWithSeparator:[]}}visitOption(e){this.dslMethods.option.push(e)}visitRepetitionWithSeparator(e){this.dslMethods.repetitionWithSeparator.push(e)}visitRepetitionMandatory(e){this.dslMethods.repetitionMandatory.push(e)}visitRepetitionMandatoryWithSeparator(e){this.dslMethods.repetitionMandatoryWithSeparator.push(e)}visitRepetition(e){this.dslMethods.repetition.push(e)}visitAlternation(e){this.dslMethods.alternation.push(e)}}const LD=new FNt;function LNt(t){LD.reset(),t.accept(LD);const e=LD.dslMethods;return LD.reset(),e}function Ble(t,e){isNaN(t.startOffset)===!0?(t.startOffset=e.startOffset,t.endOffset=e.endOffset):t.endOffsetA.msg);throw Error(`Errors Detected in CST Visitor <${this.constructor.name}>: + ${i.join(` + +`).replace(/\n/g,` + `)}`)}}};return n.prototype=a,n.prototype.constructor=n,n._RULE_NAMES=e,n}function KNt(t,e,n){const a=function(){};l1e(a,t+"BaseSemanticsWithDefaults");const r=Object.create(n.prototype);return na(e,i=>{r[i]=UNt}),a.prototype=r,a.prototype.constructor=a,a}var R6;(function(t){t[t.REDUNDANT_METHOD=0]="REDUNDANT_METHOD",t[t.MISSING_METHOD=1]="MISSING_METHOD"})(R6||(R6={}));function HNt(t,e){return YNt(t,e)}function YNt(t,e){const n=Yc(e,r=>ug(t[r])===!1),a=Ln(n,r=>({msg:`Missing visitor method: <${r}> on ${t.constructor.name} CST Visitor.`,type:R6.MISSING_METHOD,methodName:r}));return k0(a)}class qNt{initTreeBuilder(e){if(this.CST_STACK=[],this.outputCst=e.outputCst,this.nodeLocationTracking=Vn(e,"nodeLocationTracking")?e.nodeLocationTracking:ag.nodeLocationTracking,!this.outputCst)this.cstInvocationStateUpdate=Xi,this.cstFinallyStateUpdate=Xi,this.cstPostTerminal=Xi,this.cstPostNonTerminal=Xi,this.cstPostRule=Xi;else if(/full/i.test(this.nodeLocationTracking))this.recoveryEnabled?(this.setNodeLocationFromToken=yle,this.setNodeLocationFromNode=yle,this.cstPostRule=Xi,this.setInitialNodeLocation=this.setInitialNodeLocationFullRecovery):(this.setNodeLocationFromToken=Xi,this.setNodeLocationFromNode=Xi,this.cstPostRule=this.cstPostRuleFull,this.setInitialNodeLocation=this.setInitialNodeLocationFullRegular);else if(/onlyOffset/i.test(this.nodeLocationTracking))this.recoveryEnabled?(this.setNodeLocationFromToken=Ble,this.setNodeLocationFromNode=Ble,this.cstPostRule=Xi,this.setInitialNodeLocation=this.setInitialNodeLocationOnlyOffsetRecovery):(this.setNodeLocationFromToken=Xi,this.setNodeLocationFromNode=Xi,this.cstPostRule=this.cstPostRuleOnlyOffset,this.setInitialNodeLocation=this.setInitialNodeLocationOnlyOffsetRegular);else if(/none/i.test(this.nodeLocationTracking))this.setNodeLocationFromToken=Xi,this.setNodeLocationFromNode=Xi,this.cstPostRule=Xi,this.setInitialNodeLocation=Xi;else throw Error(`Invalid config option: "${e.nodeLocationTracking}"`)}setInitialNodeLocationOnlyOffsetRecovery(e){e.location={startOffset:NaN,endOffset:NaN}}setInitialNodeLocationOnlyOffsetRegular(e){e.location={startOffset:this.LA(1).startOffset,endOffset:NaN}}setInitialNodeLocationFullRecovery(e){e.location={startOffset:NaN,startLine:NaN,startColumn:NaN,endOffset:NaN,endLine:NaN,endColumn:NaN}}setInitialNodeLocationFullRegular(e){const n=this.LA(1);e.location={startOffset:n.startOffset,startLine:n.startLine,startColumn:n.startColumn,endOffset:NaN,endLine:NaN,endColumn:NaN}}cstInvocationStateUpdate(e){const n={name:e,children:Object.create(null)};this.setInitialNodeLocation(n),this.CST_STACK.push(n)}cstFinallyStateUpdate(){this.CST_STACK.pop()}cstPostRuleFull(e){const n=this.LA(0),a=e.location;a.startOffset<=n.startOffset?(a.endOffset=n.endOffset,a.endLine=n.endLine,a.endColumn=n.endColumn):(a.startOffset=NaN,a.startLine=NaN,a.startColumn=NaN)}cstPostRuleOnlyOffset(e){const n=this.LA(0),a=e.location;a.startOffset<=n.startOffset?a.endOffset=n.endOffset:a.startOffset=NaN}cstPostTerminal(e,n){const a=this.CST_STACK[this.CST_STACK.length-1];TNt(a,n,e),this.setNodeLocationFromToken(a.location,n)}cstPostNonTerminal(e,n){const a=this.CST_STACK[this.CST_STACK.length-1];GNt(a,n,e),this.setNodeLocationFromNode(a.location,e.location)}getBaseCstVisitorConstructor(){if(ng(this.baseCstVisitorConstructor)){const e=PNt(this.className,Pc(this.gastProductionsCache));return this.baseCstVisitorConstructor=e,e}return this.baseCstVisitorConstructor}getBaseCstVisitorConstructorWithDefaults(){if(ng(this.baseCstVisitorWithDefaultsConstructor)){const e=KNt(this.className,Pc(this.gastProductionsCache),this.getBaseCstVisitorConstructor());return this.baseCstVisitorWithDefaultsConstructor=e,e}return this.baseCstVisitorWithDefaultsConstructor}getLastExplicitRuleShortName(){const e=this.RULE_STACK;return e[e.length-1]}getPreviousExplicitRuleShortName(){const e=this.RULE_STACK;return e[e.length-2]}getLastExplicitRuleOccurrenceIndex(){const e=this.RULE_OCCURRENCE_STACK;return e[e.length-1]}}class jNt{initLexerAdapter(){this.tokVector=[],this.tokVectorLength=0,this.currIdx=-1}set input(e){if(this.selfAnalysisDone!==!0)throw Error("Missing invocation at the end of the Parser's constructor.");this.reset(),this.tokVector=e,this.tokVectorLength=e.length}get input(){return this.tokVector}SKIP_TOKEN(){return this.currIdx<=this.tokVector.length-2?(this.consumeToken(),this.LA(1)):P_}LA(e){const n=this.currIdx+e;return n<0||this.tokVectorLength<=n?P_:this.tokVector[n]}consumeToken(){this.currIdx++}exportLexerState(){return this.currIdx}importLexerState(e){this.currIdx=e}resetLexerState(){this.currIdx=-1}moveToTerminatedState(){this.currIdx=this.tokVector.length-1}getLexerPosition(){return this.exportLexerState()}}class zNt{ACTION(e){return e.call(this)}consume(e,n,a){return this.consumeInternal(n,e,a)}subrule(e,n,a){return this.subruleInternal(n,e,a)}option(e,n){return this.optionInternal(n,e)}or(e,n){return this.orInternal(n,e)}many(e,n){return this.manyInternal(e,n)}atLeastOne(e,n){return this.atLeastOneInternal(e,n)}CONSUME(e,n){return this.consumeInternal(e,0,n)}CONSUME1(e,n){return this.consumeInternal(e,1,n)}CONSUME2(e,n){return this.consumeInternal(e,2,n)}CONSUME3(e,n){return this.consumeInternal(e,3,n)}CONSUME4(e,n){return this.consumeInternal(e,4,n)}CONSUME5(e,n){return this.consumeInternal(e,5,n)}CONSUME6(e,n){return this.consumeInternal(e,6,n)}CONSUME7(e,n){return this.consumeInternal(e,7,n)}CONSUME8(e,n){return this.consumeInternal(e,8,n)}CONSUME9(e,n){return this.consumeInternal(e,9,n)}SUBRULE(e,n){return this.subruleInternal(e,0,n)}SUBRULE1(e,n){return this.subruleInternal(e,1,n)}SUBRULE2(e,n){return this.subruleInternal(e,2,n)}SUBRULE3(e,n){return this.subruleInternal(e,3,n)}SUBRULE4(e,n){return this.subruleInternal(e,4,n)}SUBRULE5(e,n){return this.subruleInternal(e,5,n)}SUBRULE6(e,n){return this.subruleInternal(e,6,n)}SUBRULE7(e,n){return this.subruleInternal(e,7,n)}SUBRULE8(e,n){return this.subruleInternal(e,8,n)}SUBRULE9(e,n){return this.subruleInternal(e,9,n)}OPTION(e){return this.optionInternal(e,0)}OPTION1(e){return this.optionInternal(e,1)}OPTION2(e){return this.optionInternal(e,2)}OPTION3(e){return this.optionInternal(e,3)}OPTION4(e){return this.optionInternal(e,4)}OPTION5(e){return this.optionInternal(e,5)}OPTION6(e){return this.optionInternal(e,6)}OPTION7(e){return this.optionInternal(e,7)}OPTION8(e){return this.optionInternal(e,8)}OPTION9(e){return this.optionInternal(e,9)}OR(e){return this.orInternal(e,0)}OR1(e){return this.orInternal(e,1)}OR2(e){return this.orInternal(e,2)}OR3(e){return this.orInternal(e,3)}OR4(e){return this.orInternal(e,4)}OR5(e){return this.orInternal(e,5)}OR6(e){return this.orInternal(e,6)}OR7(e){return this.orInternal(e,7)}OR8(e){return this.orInternal(e,8)}OR9(e){return this.orInternal(e,9)}MANY(e){this.manyInternal(0,e)}MANY1(e){this.manyInternal(1,e)}MANY2(e){this.manyInternal(2,e)}MANY3(e){this.manyInternal(3,e)}MANY4(e){this.manyInternal(4,e)}MANY5(e){this.manyInternal(5,e)}MANY6(e){this.manyInternal(6,e)}MANY7(e){this.manyInternal(7,e)}MANY8(e){this.manyInternal(8,e)}MANY9(e){this.manyInternal(9,e)}MANY_SEP(e){this.manySepFirstInternal(0,e)}MANY_SEP1(e){this.manySepFirstInternal(1,e)}MANY_SEP2(e){this.manySepFirstInternal(2,e)}MANY_SEP3(e){this.manySepFirstInternal(3,e)}MANY_SEP4(e){this.manySepFirstInternal(4,e)}MANY_SEP5(e){this.manySepFirstInternal(5,e)}MANY_SEP6(e){this.manySepFirstInternal(6,e)}MANY_SEP7(e){this.manySepFirstInternal(7,e)}MANY_SEP8(e){this.manySepFirstInternal(8,e)}MANY_SEP9(e){this.manySepFirstInternal(9,e)}AT_LEAST_ONE(e){this.atLeastOneInternal(0,e)}AT_LEAST_ONE1(e){return this.atLeastOneInternal(1,e)}AT_LEAST_ONE2(e){this.atLeastOneInternal(2,e)}AT_LEAST_ONE3(e){this.atLeastOneInternal(3,e)}AT_LEAST_ONE4(e){this.atLeastOneInternal(4,e)}AT_LEAST_ONE5(e){this.atLeastOneInternal(5,e)}AT_LEAST_ONE6(e){this.atLeastOneInternal(6,e)}AT_LEAST_ONE7(e){this.atLeastOneInternal(7,e)}AT_LEAST_ONE8(e){this.atLeastOneInternal(8,e)}AT_LEAST_ONE9(e){this.atLeastOneInternal(9,e)}AT_LEAST_ONE_SEP(e){this.atLeastOneSepFirstInternal(0,e)}AT_LEAST_ONE_SEP1(e){this.atLeastOneSepFirstInternal(1,e)}AT_LEAST_ONE_SEP2(e){this.atLeastOneSepFirstInternal(2,e)}AT_LEAST_ONE_SEP3(e){this.atLeastOneSepFirstInternal(3,e)}AT_LEAST_ONE_SEP4(e){this.atLeastOneSepFirstInternal(4,e)}AT_LEAST_ONE_SEP5(e){this.atLeastOneSepFirstInternal(5,e)}AT_LEAST_ONE_SEP6(e){this.atLeastOneSepFirstInternal(6,e)}AT_LEAST_ONE_SEP7(e){this.atLeastOneSepFirstInternal(7,e)}AT_LEAST_ONE_SEP8(e){this.atLeastOneSepFirstInternal(8,e)}AT_LEAST_ONE_SEP9(e){this.atLeastOneSepFirstInternal(9,e)}RULE(e,n,a=K_){if(Po(this.definedRulesNames,e)){const A={message:vh.buildDuplicateRuleNameError({topLevelRule:e,grammarName:this.className}),type:To.DUPLICATE_RULE_NAME,ruleName:e};this.definitionErrors.push(A)}this.definedRulesNames.push(e);const r=this.defineRule(e,n,a);return this[e]=r,r}OVERRIDE_RULE(e,n,a=K_){const r=hNt(e,this.definedRulesNames,this.className);this.definitionErrors=this.definitionErrors.concat(r);const i=this.defineRule(e,n,a);return this[e]=i,i}BACKTRACK(e,n){return function(){this.isBackTrackingStack.push(1);const a=this.saveRecogState();try{return e.apply(this,n),!0}catch(r){if(O_(r))return!1;throw r}finally{this.reloadRecogState(a),this.isBackTrackingStack.pop()}}}getGAstProductions(){return this.gastProductionsCache}getSerializedGastProductions(){return nRt(aA(this.gastProductionsCache))}}class JNt{initRecognizerEngine(e,n){if(this.className=this.constructor.name,this.shortRuleNameToFull={},this.fullRuleNameToShort={},this.ruleShortNameIdx=256,this.tokenMatcher=G_,this.subruleIdx=0,this.definedRulesNames=[],this.tokensMap={},this.isBackTrackingStack=[],this.RULE_STACK=[],this.RULE_OCCURRENCE_STACK=[],this.gastProductionsCache={},Vn(n,"serializedGrammar"))throw Error(`The Parser's configuration can no longer contain a property. + See: https://chevrotain.io/docs/changes/BREAKING_CHANGES.html#_6-0-0 + For Further details.`);if(za(e)){if(Tr(e))throw Error(`A Token Vocabulary cannot be empty. + Note that the first argument for the parser constructor + is no longer a Token vector (since v4.0).`);if(typeof e[0].startOffset=="number")throw Error(`The Parser constructor no longer accepts a token vector as the first argument. + See: https://chevrotain.io/docs/changes/BREAKING_CHANGES.html#_4-0-0 + For Further details.`)}if(za(e))this.tokensMap=js(e,(i,A)=>(i[A.name]=A,i),{});else if(Vn(e,"modes")&&El(Cl(aA(e.modes)),jRt)){const i=Cl(aA(e.modes)),A=Zq(i);this.tokensMap=js(A,(o,s)=>(o[s.name]=s,o),{})}else if(Uc(e))this.tokensMap=qA(e);else throw new Error(" argument must be An Array of Token constructors, A dictionary of Token constructors or an IMultiModeLexerDefinition");this.tokensMap.EOF=jp;const a=Vn(e,"modes")?Cl(aA(e.modes)):aA(e),r=El(a,i=>Tr(i.categoryMatches));this.tokenMatcher=r?G_:D0,x0(aA(this.tokensMap))}defineRule(e,n,a){if(this.selfAnalysisDone)throw Error(`Grammar rule <${e}> may not be defined after the 'performSelfAnalysis' method has been called' +Make sure that all grammar rule definitions are done before 'performSelfAnalysis' is called.`);const r=Vn(a,"resyncEnabled")?a.resyncEnabled:K_.resyncEnabled,i=Vn(a,"recoveryValueFunc")?a.recoveryValueFunc:K_.recoveryValueFunc,A=this.ruleShortNameIdx<A.call(this)&&o.call(this)}}else i=e;if(r.call(this)===!0)return i.call(this)}atLeastOneInternal(e,n){const a=this.getKeyForAutomaticLookahead(S6,e);return this.atLeastOneInternalLogic(e,n,a)}atLeastOneInternalLogic(e,n,a){let r=this.getLaFuncFromCache(a),i;if(typeof n!="function"){i=n.DEF;const A=n.GATE;if(A!==void 0){const o=r;r=()=>A.call(this)&&o.call(this)}}else i=n;if(r.call(this)===!0){let A=this.doSingleRepetition(i);for(;r.call(this)===!0&&A===!0;)A=this.doSingleRepetition(i)}else throw this.raiseEarlyExitException(e,Ai.REPETITION_MANDATORY,n.ERR_MSG);this.attemptInRepetitionRecovery(this.atLeastOneInternal,[e,n],r,S6,e,tNt)}atLeastOneSepFirstInternal(e,n){const a=this.getKeyForAutomaticLookahead(s1,e);this.atLeastOneSepFirstInternalLogic(e,n,a)}atLeastOneSepFirstInternalLogic(e,n,a){const r=n.DEF,i=n.SEP;if(this.getLaFuncFromCache(a).call(this)===!0){r.call(this);const o=()=>this.tokenMatcher(this.LA(1),i);for(;this.tokenMatcher(this.LA(1),i)===!0;)this.CONSUME(i),r.call(this);this.attemptInRepetitionRecovery(this.repetitionSepSecondInternal,[e,i,o,r,Cle],o,s1,e,Cle)}else throw this.raiseEarlyExitException(e,Ai.REPETITION_MANDATORY_WITH_SEPARATOR,n.ERR_MSG)}manyInternal(e,n){const a=this.getKeyForAutomaticLookahead(x6,e);return this.manyInternalLogic(e,n,a)}manyInternalLogic(e,n,a){let r=this.getLaFuncFromCache(a),i;if(typeof n!="function"){i=n.DEF;const o=n.GATE;if(o!==void 0){const s=r;r=()=>o.call(this)&&s.call(this)}}else i=n;let A=!0;for(;r.call(this)===!0&&A===!0;)A=this.doSingleRepetition(i);this.attemptInRepetitionRecovery(this.manyInternal,[e,n],r,x6,e,eNt,A)}manySepFirstInternal(e,n){const a=this.getKeyForAutomaticLookahead(_6,e);this.manySepFirstInternalLogic(e,n,a)}manySepFirstInternalLogic(e,n,a){const r=n.DEF,i=n.SEP;if(this.getLaFuncFromCache(a).call(this)===!0){r.call(this);const o=()=>this.tokenMatcher(this.LA(1),i);for(;this.tokenMatcher(this.LA(1),i)===!0;)this.CONSUME(i),r.call(this);this.attemptInRepetitionRecovery(this.repetitionSepSecondInternal,[e,i,o,r,ble],o,_6,e,ble)}}repetitionSepSecondInternal(e,n,a,r,i){for(;a();)this.CONSUME(n),r.call(this);this.attemptInRepetitionRecovery(this.repetitionSepSecondInternal,[e,n,a,r,i],a,s1,e,i)}doSingleRepetition(e){const n=this.getLexerPosition();return e.call(this),this.getLexerPosition()>n}orInternal(e,n){const a=this.getKeyForAutomaticLookahead(s1e,n),r=za(e)?e:e.DEF,A=this.getLaFuncFromCache(a).call(this,r);if(A!==void 0)return r[A].ALT.call(this);this.raiseNoAltException(n,e.ERR_MSG)}ruleFinallyStateUpdate(){if(this.RULE_STACK.pop(),this.RULE_OCCURRENCE_STACK.pop(),this.cstFinallyStateUpdate(),this.RULE_STACK.length===0&&this.isAtEndOfInput()===!1){const e=this.LA(1),n=this.errorMessageProvider.buildNotAllInputParsedMessage({firstRedundant:e,ruleName:this.getCurrRuleFullName()});this.SAVE_ERROR(new DNt(n,e))}}subruleInternal(e,n,a){let r;try{const i=a!==void 0?a.ARGS:void 0;return this.subruleIdx=n,r=e.apply(this,i),this.cstPostNonTerminal(r,a!==void 0&&a.LABEL!==void 0?a.LABEL:e.ruleName),r}catch(i){throw this.subruleInternalError(i,a,e.ruleName)}}subruleInternalError(e,n,a){throw O_(e)&&e.partialCstResult!==void 0&&(this.cstPostNonTerminal(e.partialCstResult,n!==void 0&&n.LABEL!==void 0?n.LABEL:a),delete e.partialCstResult),e}consumeInternal(e,n,a){let r;try{const i=this.LA(1);this.tokenMatcher(i,e)===!0?(this.consumeToken(),r=i):this.consumeInternalError(e,i,a)}catch(i){r=this.consumeInternalRecovery(e,n,i)}return this.cstPostTerminal(a!==void 0&&a.LABEL!==void 0?a.LABEL:e.name,r),r}consumeInternalError(e,n,a){let r;const i=this.LA(0);throw a!==void 0&&a.ERR_MSG?r=a.ERR_MSG:r=this.errorMessageProvider.buildMismatchTokenMessage({expected:e,actual:n,previous:i,ruleName:this.getCurrRuleFullName()}),this.SAVE_ERROR(new A1e(r,n,i))}consumeInternalRecovery(e,n,a){if(this.recoveryEnabled&&a.name==="MismatchedTokenException"&&!this.isBackTracking()){const r=this.getFollowsForInRuleRecovery(e,n);try{return this.tryInRuleRecovery(e,r)}catch(i){throw i.name===o1e?a:i}}else throw a}saveRecogState(){const e=this.errors,n=qA(this.RULE_STACK);return{errors:e,lexerState:this.exportLexerState(),RULE_STACK:n,CST_STACK:this.CST_STACK}}reloadRecogState(e){this.errors=e.errors,this.importLexerState(e.lexerState),this.RULE_STACK=e.RULE_STACK}ruleInvocationStateUpdate(e,n,a){this.RULE_OCCURRENCE_STACK.push(a),this.RULE_STACK.push(e),this.cstInvocationStateUpdate(n)}isBackTracking(){return this.isBackTrackingStack.length!==0}getCurrRuleFullName(){const e=this.getLastExplicitRuleShortName();return this.shortRuleNameToFull[e]}shortRuleNameToFullName(e){return this.shortRuleNameToFull[e]}isAtEndOfInput(){return this.tokenMatcher(this.LA(1),jp)}reset(){this.resetLexerState(),this.subruleIdx=0,this.isBackTrackingStack=[],this.errors=[],this.RULE_STACK=[],this.CST_STACK=[],this.RULE_OCCURRENCE_STACK=[]}}class WNt{initErrorHandler(e){this._errors=[],this.errorMessageProvider=Vn(e,"errorMessageProvider")?e.errorMessageProvider:ag.errorMessageProvider}SAVE_ERROR(e){if(O_(e))return e.context={ruleStack:this.getHumanReadableRuleStack(),ruleOccurrenceStack:qA(this.RULE_OCCURRENCE_STACK)},this._errors.push(e),e;throw Error("Trying to save an Error which is not a RecognitionException")}get errors(){return qA(this._errors)}set errors(e){this._errors=e}raiseEarlyExitException(e,n,a){const r=this.getCurrRuleFullName(),i=this.getGAstProductions()[r],o=DN(e,i,n,this.maxLookahead)[0],s=[];for(let d=1;d<=this.maxLookahead;d++)s.push(this.LA(d));const l=this.errorMessageProvider.buildEarlyExitMessage({expectedIterationPaths:o,actual:s,previous:this.LA(0),customUserDescription:a,ruleName:r});throw this.SAVE_ERROR(new xNt(l,this.LA(1),this.LA(0)))}raiseNoAltException(e,n){const a=this.getCurrRuleFullName(),r=this.getGAstProductions()[a],i=vN(e,r,this.maxLookahead),A=[];for(let l=1;l<=this.maxLookahead;l++)A.push(this.LA(l));const o=this.LA(0),s=this.errorMessageProvider.buildNoViableAltMessage({expectedPathsPerAlt:i,actual:A,previous:o,customUserDescription:n,ruleName:this.getCurrRuleFullName()});throw this.SAVE_ERROR(new vNt(s,this.LA(1),o))}}class ZNt{initContentAssist(){}computeContentAssist(e,n){const a=this.gastProductionsCache[e];if(ng(a))throw Error(`Rule ->${e}<- does not exist in this grammar.`);return Wxe([a],n,this.tokenMatcher,this.maxLookahead)}getNextPossibleTokenTypes(e){const n=Dl(e.ruleStack),r=this.getGAstProductions()[n];return new $Rt(r,e).startWalking()}}const SN={description:"This Object indicates the Parser is during Recording Phase"};Object.freeze(SN);const Qle=!0,wle=Math.pow(2,lm)-1,d1e=zxe({name:"RECORDING_PHASE_TOKEN",pattern:ls.NA});x0([d1e]);const u1e=Xq(d1e,`This IToken indicates the Parser is in Recording Phase + See: https://chevrotain.io/docs/guide/internals.html#grammar-recording for details`,-1,-1,-1,-1,-1,-1);Object.freeze(u1e);const VNt={name:`This CSTNode indicates the Parser is in Recording Phase + See: https://chevrotain.io/docs/guide/internals.html#grammar-recording for details`,children:{}};class XNt{initGastRecorder(e){this.recordingProdStack=[],this.RECORDING_PHASE=!1}enableRecording(){this.RECORDING_PHASE=!0,this.TRACE_INIT("Enable Recording",()=>{for(let e=0;e<10;e++){const n=e>0?e:"";this[`CONSUME${n}`]=function(a,r){return this.consumeInternalRecord(a,e,r)},this[`SUBRULE${n}`]=function(a,r){return this.subruleInternalRecord(a,e,r)},this[`OPTION${n}`]=function(a){return this.optionInternalRecord(a,e)},this[`OR${n}`]=function(a){return this.orInternalRecord(a,e)},this[`MANY${n}`]=function(a){this.manyInternalRecord(e,a)},this[`MANY_SEP${n}`]=function(a){this.manySepFirstInternalRecord(e,a)},this[`AT_LEAST_ONE${n}`]=function(a){this.atLeastOneInternalRecord(e,a)},this[`AT_LEAST_ONE_SEP${n}`]=function(a){this.atLeastOneSepFirstInternalRecord(e,a)}}this.consume=function(e,n,a){return this.consumeInternalRecord(n,e,a)},this.subrule=function(e,n,a){return this.subruleInternalRecord(n,e,a)},this.option=function(e,n){return this.optionInternalRecord(n,e)},this.or=function(e,n){return this.orInternalRecord(n,e)},this.many=function(e,n){this.manyInternalRecord(e,n)},this.atLeastOne=function(e,n){this.atLeastOneInternalRecord(e,n)},this.ACTION=this.ACTION_RECORD,this.BACKTRACK=this.BACKTRACK_RECORD,this.LA=this.LA_RECORD})}disableRecording(){this.RECORDING_PHASE=!1,this.TRACE_INIT("Deleting Recording methods",()=>{const e=this;for(let n=0;n<10;n++){const a=n>0?n:"";delete e[`CONSUME${a}`],delete e[`SUBRULE${a}`],delete e[`OPTION${a}`],delete e[`OR${a}`],delete e[`MANY${a}`],delete e[`MANY_SEP${a}`],delete e[`AT_LEAST_ONE${a}`],delete e[`AT_LEAST_ONE_SEP${a}`]}delete e.consume,delete e.subrule,delete e.option,delete e.or,delete e.many,delete e.atLeastOne,delete e.ACTION,delete e.BACKTRACK,delete e.LA})}ACTION_RECORD(e){}BACKTRACK_RECORD(e,n){return()=>!0}LA_RECORD(e){return P_}topLevelRuleRecord(e,n){try{const a=new sI({definition:[],name:e});return a.name=e,this.recordingProdStack.push(a),n.call(this),this.recordingProdStack.pop(),a}catch(a){if(a.KNOWN_RECORDER_ERROR!==!0)try{a.message=a.message+` + This error was thrown during the "grammar recording phase" For more info see: + https://chevrotain.io/docs/guide/internals.html#grammar-recording`}catch{throw a}throw a}}optionInternalRecord(e,n){return WB.call(this,HA,e,n)}atLeastOneInternalRecord(e,n){WB.call(this,Vs,n,e)}atLeastOneSepFirstInternalRecord(e,n){WB.call(this,Xs,n,e,Qle)}manyInternalRecord(e,n){WB.call(this,bi,n,e)}manySepFirstInternalRecord(e,n){WB.call(this,bs,n,e,Qle)}orInternalRecord(e,n){return $Nt.call(this,e,n)}subruleInternalRecord(e,n,a){if(U_(n),!e||Vn(e,"ruleName")===!1){const o=new Error(` argument is invalid expecting a Parser method reference but got: <${JSON.stringify(e)}> + inside top level rule: <${this.recordingProdStack[0].name}>`);throw o.KNOWN_RECORDER_ERROR=!0,o}const r=BE(this.recordingProdStack),i=e.ruleName,A=new Lo({idx:n,nonTerminalName:i,label:a?.LABEL,referencedRule:void 0});return r.definition.push(A),this.outputCst?VNt:SN}consumeInternalRecord(e,n,a){if(U_(n),!qxe(e)){const A=new Error(` argument is invalid expecting a TokenType reference but got: <${JSON.stringify(e)}> + inside top level rule: <${this.recordingProdStack[0].name}>`);throw A.KNOWN_RECORDER_ERROR=!0,A}const r=BE(this.recordingProdStack),i=new Jr({idx:n,terminalType:e,label:a?.LABEL});return r.definition.push(i),u1e}}function WB(t,e,n,a=!1){U_(n);const r=BE(this.recordingProdStack),i=ug(e)?e:e.DEF,A=new t({definition:[],idx:n});return a&&(A.separator=e.SEP),Vn(e,"MAX_LOOKAHEAD")&&(A.maxLookahead=e.MAX_LOOKAHEAD),this.recordingProdStack.push(A),i.call(this),r.definition.push(A),this.recordingProdStack.pop(),SN}function $Nt(t,e){U_(e);const n=BE(this.recordingProdStack),a=za(t)===!1,r=a===!1?t:t.DEF,i=new Cs({definition:[],idx:e,ignoreAmbiguities:a&&t.IGNORE_AMBIGUITIES===!0});Vn(t,"MAX_LOOKAHEAD")&&(i.maxLookahead=t.MAX_LOOKAHEAD);const A=Nxe(r,o=>ug(o.GATE));return i.hasPredicates=A,n.definition.push(i),na(r,o=>{const s=new gs({definition:[]});i.definition.push(s),Vn(o,"IGNORE_AMBIGUITIES")?s.ignoreAmbiguities=o.IGNORE_AMBIGUITIES:Vn(o,"GATE")&&(s.ignoreAmbiguities=!0),this.recordingProdStack.push(s),o.ALT.call(this),this.recordingProdStack.pop()}),SN}function kle(t){return t===0?"":`${t}`}function U_(t){if(t<0||t>wle){const e=new Error(`Invalid DSL Method idx value: <${t}> + Idx value must be a none negative value smaller than ${wle+1}`);throw e.KNOWN_RECORDER_ERROR=!0,e}}class eMt{initPerformanceTracer(e){if(Vn(e,"traceInitPerf")){const n=e.traceInitPerf,a=typeof n=="number";this.traceInitMaxIdent=a?n:1/0,this.traceInitPerf=a?n>0:n}else this.traceInitMaxIdent=0,this.traceInitPerf=ag.traceInitPerf;this.traceInitIndent=-1}TRACE_INIT(e,n){if(this.traceInitPerf===!0){this.traceInitIndent++;const a=new Array(this.traceInitIndent+1).join(" ");this.traceInitIndent <${e}>`);const{time:r,value:i}=Fxe(n),A=r>10?console.warn:console.log;return this.traceInitIndent time: ${r}ms`),this.traceInitIndent--,i}else return n()}}function tMt(t,e){e.forEach(n=>{const a=n.prototype;Object.getOwnPropertyNames(a).forEach(r=>{if(r==="constructor")return;const i=Object.getOwnPropertyDescriptor(a,r);i&&(i.get||i.set)?Object.defineProperty(t.prototype,r,i):t.prototype[r]=n.prototype[r]})})}const P_=Xq(jp,"",NaN,NaN,NaN,NaN,NaN,NaN);Object.freeze(P_);const ag=Object.freeze({recoveryEnabled:!1,maxLookahead:3,dynamicTokensEnabled:!1,outputCst:!0,errorMessageProvider:gC,nodeLocationTracking:"none",traceInitPerf:!1,skipValidations:!1}),K_=Object.freeze({recoveryValueFunc:()=>{},resyncEnabled:!0});var To;(function(t){t[t.INVALID_RULE_NAME=0]="INVALID_RULE_NAME",t[t.DUPLICATE_RULE_NAME=1]="DUPLICATE_RULE_NAME",t[t.INVALID_RULE_OVERRIDE=2]="INVALID_RULE_OVERRIDE",t[t.DUPLICATE_PRODUCTIONS=3]="DUPLICATE_PRODUCTIONS",t[t.UNRESOLVED_SUBRULE_REF=4]="UNRESOLVED_SUBRULE_REF",t[t.LEFT_RECURSION=5]="LEFT_RECURSION",t[t.NONE_LAST_EMPTY_ALT=6]="NONE_LAST_EMPTY_ALT",t[t.AMBIGUOUS_ALTS=7]="AMBIGUOUS_ALTS",t[t.CONFLICT_TOKENS_RULES_NAMESPACE=8]="CONFLICT_TOKENS_RULES_NAMESPACE",t[t.INVALID_TOKEN_NAME=9]="INVALID_TOKEN_NAME",t[t.NO_NON_EMPTY_LOOKAHEAD=10]="NO_NON_EMPTY_LOOKAHEAD",t[t.AMBIGUOUS_PREFIX_ALTS=11]="AMBIGUOUS_PREFIX_ALTS",t[t.TOO_MANY_ALTS=12]="TOO_MANY_ALTS",t[t.CUSTOM_LOOKAHEAD_VALIDATION=13]="CUSTOM_LOOKAHEAD_VALIDATION"})(To||(To={}));function vle(t=void 0){return function(){return t}}class S0{static performSelfAnalysis(e){throw Error("The **static** `performSelfAnalysis` method has been deprecated. \nUse the **instance** method with the same name instead.")}performSelfAnalysis(){this.TRACE_INIT("performSelfAnalysis",()=>{let e;this.selfAnalysisDone=!0;const n=this.className;this.TRACE_INIT("toFastProps",()=>{Lxe(this)}),this.TRACE_INIT("Grammar Recording",()=>{try{this.enableRecording(),na(this.definedRulesNames,r=>{const A=this[r].originalGrammarAction;let o;this.TRACE_INIT(`${r} Rule`,()=>{o=this.topLevelRuleRecord(r,A)}),this.gastProductionsCache[r]=o})}finally{this.disableRecording()}});let a=[];if(this.TRACE_INIT("Grammar Resolving",()=>{a=wNt({rules:aA(this.gastProductionsCache)}),this.definitionErrors=this.definitionErrors.concat(a)}),this.TRACE_INIT("Grammar Validations",()=>{if(Tr(a)&&this.skipValidations===!1){const r=kNt({rules:aA(this.gastProductionsCache),tokenTypes:aA(this.tokensMap),errMsgProvider:vh,grammarName:n}),i=lNt({lookaheadStrategy:this.lookaheadStrategy,rules:aA(this.gastProductionsCache),tokenTypes:aA(this.tokensMap),grammarName:n});this.definitionErrors=this.definitionErrors.concat(r,i)}}),Tr(this.definitionErrors)&&(this.recoveryEnabled&&this.TRACE_INIT("computeAllProdsFollows",()=>{const r=cRt(aA(this.gastProductionsCache));this.resyncFollows=r}),this.TRACE_INIT("ComputeLookaheadFunctions",()=>{var r,i;(i=(r=this.lookaheadStrategy).initialize)===null||i===void 0||i.call(r,{rules:aA(this.gastProductionsCache)}),this.preComputeLookaheadFunctions(aA(this.gastProductionsCache))})),!S0.DEFER_DEFINITION_ERRORS_HANDLING&&!Tr(this.definitionErrors))throw e=Ln(this.definitionErrors,r=>r.message),new Error(`Parser Definition Errors detected: + ${e.join(` +------------------------------- +`)}`)})}constructor(e,n){this.definitionErrors=[],this.selfAnalysisDone=!1;const a=this;if(a.initErrorHandler(n),a.initLexerAdapter(),a.initLooksAhead(n),a.initRecognizerEngine(e,n),a.initRecoverable(n),a.initTreeBuilder(n),a.initContentAssist(),a.initGastRecorder(n),a.initPerformanceTracer(n),Vn(n,"ignoredIssues"))throw new Error(`The IParserConfig property has been deprecated. + Please use the flag on the relevant DSL method instead. + See: https://chevrotain.io/docs/guide/resolving_grammar_errors.html#IGNORING_AMBIGUITIES + For further details.`);this.skipValidations=Vn(n,"skipValidations")?n.skipValidations:ag.skipValidations}}S0.DEFER_DEFINITION_ERRORS_HANDLING=!1;tMt(S0,[_Nt,MNt,qNt,jNt,JNt,zNt,WNt,ZNt,XNt,eMt]);class nMt extends S0{constructor(e,n=ag){const a=qA(n);a.outputCst=!1,super(e,a)}}function QE(t,e,n){return`${t.name}_${e}_${n}`}const zp=1,aMt=2,g1e=4,p1e=5,_0=7,rMt=8,iMt=9,AMt=10,oMt=11,m1e=12;class nj{constructor(e){this.target=e}isEpsilon(){return!1}}class aj extends nj{constructor(e,n){super(e),this.tokenType=n}}class h1e extends nj{constructor(e){super(e)}isEpsilon(){return!0}}class rj extends nj{constructor(e,n,a){super(e),this.rule=n,this.followState=a}isEpsilon(){return!0}}function sMt(t){const e={decisionMap:{},decisionStates:[],ruleToStartState:new Map,ruleToStopState:new Map,states:[]};cMt(e,t);const n=t.length;for(let a=0;af1e(t,e,A));return lI(t,e,a,n,...r)}function mMt(t,e,n){const a=yA(t,e,n,{type:zp});dm(t,a);const r=lI(t,e,a,n,Ff(t,e,n));return hMt(t,e,n,r)}function Ff(t,e,n){const a=gd(Er(n.definition,r=>f1e(t,e,r)),r=>r!==void 0);return a.length===1?a[0]:a.length===0?void 0:bMt(t,a)}function b1e(t,e,n,a,r){const i=a.left,A=a.right,o=yA(t,e,n,{type:oMt});dm(t,o);const s=yA(t,e,n,{type:m1e});return i.loopback=o,s.loopback=o,t.decisionMap[QE(e,r?"RepetitionMandatoryWithSeparator":"RepetitionMandatory",n.idx)]=o,Pi(A,o),r===void 0?(Pi(o,i),Pi(o,s)):(Pi(o,s),Pi(o,r.left),Pi(r.right,i)),{left:i,right:s}}function C1e(t,e,n,a,r){const i=a.left,A=a.right,o=yA(t,e,n,{type:AMt});dm(t,o);const s=yA(t,e,n,{type:m1e}),l=yA(t,e,n,{type:iMt});return o.loopback=l,s.loopback=l,Pi(o,i),Pi(o,s),Pi(A,l),r!==void 0?(Pi(l,s),Pi(l,r.left),Pi(r.right,i)):Pi(l,o),t.decisionMap[QE(e,r?"RepetitionWithSeparator":"Repetition",n.idx)]=o,{left:o,right:s}}function hMt(t,e,n,a){const r=a.left,i=a.right;return Pi(r,i),t.decisionMap[QE(e,"Option",n.idx)]=r,a}function dm(t,e){return t.decisionStates.push(e),e.decision=t.decisionStates.length-1,e.decision}function lI(t,e,n,a,...r){const i=yA(t,e,a,{type:rMt,start:n});n.end=i;for(const o of r)o!==void 0?(Pi(n,o.left),Pi(o.right,i)):Pi(n,i);const A={left:n,right:i};return t.decisionMap[QE(e,fMt(a),a.idx)]=n,A}function fMt(t){if(t instanceof Cs)return"Alternation";if(t instanceof HA)return"Option";if(t instanceof bi)return"Repetition";if(t instanceof bs)return"RepetitionWithSeparator";if(t instanceof Vs)return"RepetitionMandatory";if(t instanceof Xs)return"RepetitionMandatoryWithSeparator";throw new Error("Invalid production type encountered")}function 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hde;(function(t){t.namespace="namespace",t.type="type",t.class="class",t.enum="enum",t.interface="interface",t.struct="struct",t.typeParameter="typeParameter",t.parameter="parameter",t.variable="variable",t.property="property",t.enumMember="enumMember",t.event="event",t.function="function",t.method="method",t.macro="macro",t.keyword="keyword",t.modifier="modifier",t.comment="comment",t.string="string",t.number="number",t.regexp="regexp",t.operator="operator",t.decorator="decorator"})(hde||(hde={}));var fde;(function(t){t.declaration="declaration",t.definition="definition",t.readonly="readonly",t.static="static",t.deprecated="deprecated",t.abstract="abstract",t.async="async",t.modification="modification",t.documentation="documentation",t.defaultLibrary="defaultLibrary"})(fde||(fde={}));var bde;(function(t){function e(n){const a=n;return kt.objectLiteral(a)&&(a.resultId===void 0||typeof a.resultId=="string")&&Array.isArray(a.data)&&(a.data.length===0||typeof a.data[0]=="number")}t.is=e})(bde||(bde={}));var Cde;(function(t){function e(a,r){return{range:a,text:r}}t.create=e;function n(a){const r=a;return r!=null&&Oa.is(r.range)&&kt.string(r.text)}t.is=n})(Cde||(Cde={}));var Ede;(function(t){function e(a,r,i){return{range:a,variableName:r,caseSensitiveLookup:i}}t.create=e;function n(a){const r=a;return r!=null&&Oa.is(r.range)&&kt.boolean(r.caseSensitiveLookup)&&(kt.string(r.variableName)||r.variableName===void 0)}t.is=n})(Ede||(Ede={}));var Ide;(function(t){function e(a,r){return{range:a,expression:r}}t.create=e;function n(a){const r=a;return r!=null&&Oa.is(r.range)&&(kt.string(r.expression)||r.expression===void 0)}t.is=n})(Ide||(Ide={}));var Bde;(function(t){function e(a,r){return{frameId:a,stoppedLocation:r}}t.create=e;function n(a){const r=a;return kt.defined(r)&&Oa.is(a.stoppedLocation)}t.is=n})(Bde||(Bde={}));var q6;(function(t){t.Type=1,t.Parameter=2;function e(n){return n===1||n===2}t.is=e})(q6||(q6={}));var j6;(function(t){function 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kde;(function(t){function e(n){return{items:n}}t.create=e})(kde||(kde={}));var vde;(function(t){t.Invoked=0,t.Automatic=1})(vde||(vde={}));var Dde;(function(t){function e(n,a){return{range:n,text:a}}t.create=e})(Dde||(Dde={}));var xde;(function(t){function e(n,a){return{triggerKind:n,selectedCompletionInfo:a}}t.create=e})(xde||(xde={}));var Sde;(function(t){function e(n){const a=n;return kt.objectLiteral(a)&&M6.is(a.uri)&&kt.string(a.name)}t.is=e})(Sde||(Sde={}));var _de;(function(t){function e(i,A,o,s){return new HMt(i,A,o,s)}t.create=e;function n(i){let A=i;return!!(kt.defined(A)&&kt.string(A.uri)&&(kt.undefined(A.languageId)||kt.string(A.languageId))&&kt.uinteger(A.lineCount)&&kt.func(A.getText)&&kt.func(A.positionAt)&&kt.func(A.offsetAt))}t.is=n;function a(i,A){let o=i.getText(),s=r(A,(d,u)=>{let g=d.range.start.line-u.range.start.line;return g===0?d.range.start.character-u.range.start.character:g}),l=o.length;for(let d=s.length-1;d>=0;d--){let u=s[d],g=i.offsetAt(u.range.start),p=i.offsetAt(u.range.end);if(p<=l)o=o.substring(0,g)+u.newText+o.substring(p,o.length);else throw new Error("Overlapping edit");l=g}return o}t.applyEdits=a;function r(i,A){if(i.length<=1)return i;const o=i.length/2|0,s=i.slice(0,o),l=i.slice(o);r(s,A),r(l,A);let d=0,u=0,g=0;for(;d0&&e.push(n.length),this._lineOffsets=e}return this._lineOffsets}positionAt(e){e=Math.max(Math.min(e,this._content.length),0);let n=this.getLineOffsets(),a=0,r=n.length;if(r===0)return cr.create(0,e);for(;ae?r=A:a=A+1}let i=a-1;return cr.create(i,e-n[i])}offsetAt(e){let n=this.getLineOffsets();if(e.line>=n.length)return this._content.length;if(e.line<0)return 0;let a=n[e.line],r=e.line+1"u"}t.undefined=a;function r(p){return p===!0||p===!1}t.boolean=r;function i(p){return e.call(p)==="[object String]"}t.string=i;function A(p){return e.call(p)==="[object Number]"}t.number=A;function o(p,m,f){return e.call(p)==="[object Number]"&&m<=p&&p<=f}t.numberRange=o;function s(p){return e.call(p)==="[object Number]"&&-2147483648<=p&&p<=2147483647}t.integer=s;function l(p){return e.call(p)==="[object Number]"&&0<=p&&p<=2147483647}t.uinteger=l;function d(p){return e.call(p)==="[object Function]"}t.func=d;function u(p){return p!==null&&typeof p=="object"}t.objectLiteral=u;function g(p,m){return Array.isArray(p)&&p.every(m)}t.typedArray=g})(kt||(kt={}));class YMt{constructor(){this.nodeStack=[]}get current(){var e;return(e=this.nodeStack[this.nodeStack.length-1])!==null&&e!==void 0?e:this.rootNode}buildRootNode(e){return this.rootNode=new w1e(e),this.rootNode.root=this.rootNode,this.nodeStack=[this.rootNode],this.rootNode}buildCompositeNode(e){const n=new oj;return n.grammarSource=e,n.root=this.rootNode,this.current.content.push(n),this.nodeStack.push(n),n}buildLeafNode(e,n){const a=new z6(e.startOffset,e.image.length,h6(e),e.tokenType,!n);return a.grammarSource=n,a.root=this.rootNode,this.current.content.push(a),a}removeNode(e){const n=e.container;if(n){const a=n.content.indexOf(e);a>=0&&n.content.splice(a,1)}}addHiddenNodes(e){const n=[];for(const i of e){const A=new z6(i.startOffset,i.image.length,h6(i),i.tokenType,!0);A.root=this.rootNode,n.push(A)}let a=this.current,r=!1;if(a.content.length>0){a.content.push(...n);return}for(;a.container;){const i=a.container.content.indexOf(a);if(i>0){a.container.content.splice(i,0,...n),r=!0;break}a=a.container}r||this.rootNode.content.unshift(...n)}construct(e){const n=this.current;typeof e.$type=="string"&&(this.current.astNode=e),e.$cstNode=n;const a=this.nodeStack.pop();a?.content.length===0&&this.removeNode(a)}}class Q1e{get parent(){return this.container}get feature(){return this.grammarSource}get hidden(){return!1}get astNode(){var e,n;const a=typeof((e=this._astNode)===null||e===void 0?void 0:e.$type)=="string"?this._astNode:(n=this.container)===null||n===void 0?void 0:n.astNode;if(!a)throw new Error("This node has no associated AST element");return a}set astNode(e){this._astNode=e}get element(){return this.astNode}get text(){return this.root.fullText.substring(this.offset,this.end)}}class z6 extends Q1e{get offset(){return this._offset}get length(){return this._length}get end(){return this._offset+this._length}get hidden(){return this._hidden}get tokenType(){return this._tokenType}get range(){return this._range}constructor(e,n,a,r,i=!1){super(),this._hidden=i,this._offset=e,this._tokenType=r,this._length=n,this._range=a}}class oj extends Q1e{constructor(){super(...arguments),this.content=new sj(this)}get children(){return this.content}get offset(){var e,n;return(n=(e=this.firstNonHiddenNode)===null||e===void 0?void 0:e.offset)!==null&&n!==void 0?n:0}get length(){return this.end-this.offset}get end(){var e,n;return(n=(e=this.lastNonHiddenNode)===null||e===void 0?void 0:e.end)!==null&&n!==void 0?n:0}get range(){const e=this.firstNonHiddenNode,n=this.lastNonHiddenNode;if(e&&n){if(this._rangeCache===void 0){const{range:a}=e,{range:r}=n;this._rangeCache={start:a.start,end:r.end.line=0;e--){const n=this.content[e];if(!n.hidden)return n}return this.content[this.content.length-1]}}class sj extends Array{constructor(e){super(),this.parent=e,Object.setPrototypeOf(this,sj.prototype)}push(...e){return this.addParents(e),super.push(...e)}unshift(...e){return this.addParents(e),super.unshift(...e)}splice(e,n,...a){return this.addParents(a),super.splice(e,n,...a)}addParents(e){for(const n of e)n.container=this.parent}}class w1e extends oj{get text(){return this._text.substring(this.offset,this.end)}get fullText(){return this._text}constructor(e){super(),this._text="",this._text=e??""}}const J6=Symbol("Datatype");function P9(t){return t.$type===J6}const Rde="​",k1e=t=>t.endsWith(Rde)?t:t+Rde;class v1e{constructor(e){this._unorderedGroups=new Map,this.allRules=new Map,this.lexer=e.parser.Lexer;const n=this.lexer.definition,a=e.LanguageMetaData.mode==="production";this.wrapper=new WMt(n,Object.assign(Object.assign({},e.parser.ParserConfig),{skipValidations:a,errorMessageProvider:e.parser.ParserErrorMessageProvider}))}alternatives(e,n){this.wrapper.wrapOr(e,n)}optional(e,n){this.wrapper.wrapOption(e,n)}many(e,n){this.wrapper.wrapMany(e,n)}atLeastOne(e,n){this.wrapper.wrapAtLeastOne(e,n)}getRule(e){return this.allRules.get(e)}isRecording(){return this.wrapper.IS_RECORDING}get unorderedGroups(){return this._unorderedGroups}getRuleStack(){return this.wrapper.RULE_STACK}finalize(){this.wrapper.wrapSelfAnalysis()}}class qMt extends v1e{get current(){return this.stack[this.stack.length-1]}constructor(e){super(e),this.nodeBuilder=new YMt,this.stack=[],this.assignmentMap=new Map,this.linker=e.references.Linker,this.converter=e.parser.ValueConverter,this.astReflection=e.shared.AstReflection}rule(e,n){const a=this.computeRuleType(e),r=this.wrapper.DEFINE_RULE(k1e(e.name),this.startImplementation(a,n).bind(this));return this.allRules.set(e.name,r),e.entry&&(this.mainRule=r),r}computeRuleType(e){if(!e.fragment){if(nxe(e))return J6;{const n=xq(e);return n??e.name}}}parse(e,n={}){this.nodeBuilder.buildRootNode(e);const a=this.lexerResult=this.lexer.tokenize(e);this.wrapper.input=a.tokens;const r=n.rule?this.allRules.get(n.rule):this.mainRule;if(!r)throw new Error(n.rule?`No rule found with name '${n.rule}'`:"No main rule available.");const i=r.call(this.wrapper,{});return this.nodeBuilder.addHiddenNodes(a.hidden),this.unorderedGroups.clear(),this.lexerResult=void 0,{value:i,lexerErrors:a.errors,lexerReport:a.report,parserErrors:this.wrapper.errors}}startImplementation(e,n){return a=>{const r=!this.isRecording()&&e!==void 0;if(r){const A={$type:e};this.stack.push(A),e===J6&&(A.value="")}let i;try{i=n(a)}catch{i=void 0}return i===void 0&&r&&(i=this.construct()),i}}extractHiddenTokens(e){const n=this.lexerResult.hidden;if(!n.length)return[];const a=e.startOffset;for(let r=0;ra)return n.splice(0,r);return n.splice(0,n.length)}consume(e,n,a){const r=this.wrapper.wrapConsume(e,n);if(!this.isRecording()&&this.isValidToken(r)){const i=this.extractHiddenTokens(r);this.nodeBuilder.addHiddenNodes(i);const A=this.nodeBuilder.buildLeafNode(r,a),{assignment:o,isCrossRef:s}=this.getAssignment(a),l=this.current;if(o){const d=af(a)?r.image:this.converter.convert(r.image,A);this.assign(o.operator,o.feature,d,A,s)}else if(P9(l)){let d=r.image;af(a)||(d=this.converter.convert(d,A).toString()),l.value+=d}}}isValidToken(e){return!e.isInsertedInRecovery&&!isNaN(e.startOffset)&&typeof e.endOffset=="number"&&!isNaN(e.endOffset)}subrule(e,n,a,r,i){let A;!this.isRecording()&&!a&&(A=this.nodeBuilder.buildCompositeNode(r));const o=this.wrapper.wrapSubrule(e,n,i);!this.isRecording()&&A&&A.length>0&&this.performSubruleAssignment(o,r,A)}performSubruleAssignment(e,n,a){const{assignment:r,isCrossRef:i}=this.getAssignment(n);if(r)this.assign(r.operator,r.feature,e,a,i);else if(!r){const A=this.current;if(P9(A))A.value+=e.toString();else if(typeof e=="object"&&e){const s=this.assignWithoutOverride(e,A);this.stack.pop(),this.stack.push(s)}}}action(e,n){if(!this.isRecording()){let a=this.current;if(n.feature&&n.operator){a=this.construct(),this.nodeBuilder.removeNode(a.$cstNode),this.nodeBuilder.buildCompositeNode(n).content.push(a.$cstNode);const i={$type:e};this.stack.push(i),this.assign(n.operator,n.feature,a,a.$cstNode,!1)}else a.$type=e}}construct(){if(this.isRecording())return;const e=this.current;return zvt(e),this.nodeBuilder.construct(e),this.stack.pop(),P9(e)?this.converter.convert(e.value,e.$cstNode):(Jvt(this.astReflection,e),e)}getAssignment(e){if(!this.assignmentMap.has(e)){const n=cN(e,nf);this.assignmentMap.set(e,{assignment:n,isCrossRef:n?wq(n.terminal):!1})}return this.assignmentMap.get(e)}assign(e,n,a,r,i){const A=this.current;let o;switch(i&&typeof a=="string"?o=this.linker.buildReference(A,n,r,a):o=a,e){case"=":{A[n]=o;break}case"?=":{A[n]=!0;break}case"+=":Array.isArray(A[n])||(A[n]=[]),A[n].push(o)}}assignWithoutOverride(e,n){for(const[r,i]of Object.entries(n)){const A=e[r];A===void 0?e[r]=i:Array.isArray(A)&&Array.isArray(i)&&(i.push(...A),e[r]=i)}const a=e.$cstNode;return a&&(a.astNode=void 0,e.$cstNode=void 0),e}get definitionErrors(){return this.wrapper.definitionErrors}}class jMt{buildMismatchTokenMessage(e){return gC.buildMismatchTokenMessage(e)}buildNotAllInputParsedMessage(e){return gC.buildNotAllInputParsedMessage(e)}buildNoViableAltMessage(e){return gC.buildNoViableAltMessage(e)}buildEarlyExitMessage(e){return gC.buildEarlyExitMessage(e)}}class D1e extends jMt{buildMismatchTokenMessage({expected:e,actual:n}){return`Expecting ${e.LABEL?"`"+e.LABEL+"`":e.name.endsWith(":KW")?`keyword '${e.name.substring(0,e.name.length-3)}'`:`token of type '${e.name}'`} but found \`${n.image}\`.`}buildNotAllInputParsedMessage({firstRedundant:e}){return`Expecting end of file but found \`${e.image}\`.`}}class zMt extends v1e{constructor(){super(...arguments),this.tokens=[],this.elementStack=[],this.lastElementStack=[],this.nextTokenIndex=0,this.stackSize=0}action(){}construct(){}parse(e){this.resetState();const n=this.lexer.tokenize(e,{mode:"partial"});return this.tokens=n.tokens,this.wrapper.input=[...this.tokens],this.mainRule.call(this.wrapper,{}),this.unorderedGroups.clear(),{tokens:this.tokens,elementStack:[...this.lastElementStack],tokenIndex:this.nextTokenIndex}}rule(e,n){const a=this.wrapper.DEFINE_RULE(k1e(e.name),this.startImplementation(n).bind(this));return this.allRules.set(e.name,a),e.entry&&(this.mainRule=a),a}resetState(){this.elementStack=[],this.lastElementStack=[],this.nextTokenIndex=0,this.stackSize=0}startImplementation(e){return n=>{const a=this.keepStackSize();try{e(n)}finally{this.resetStackSize(a)}}}removeUnexpectedElements(){this.elementStack.splice(this.stackSize)}keepStackSize(){const e=this.elementStack.length;return this.stackSize=e,e}resetStackSize(e){this.removeUnexpectedElements(),this.stackSize=e}consume(e,n,a){this.wrapper.wrapConsume(e,n),this.isRecording()||(this.lastElementStack=[...this.elementStack,a],this.nextTokenIndex=this.currIdx+1)}subrule(e,n,a,r,i){this.before(r),this.wrapper.wrapSubrule(e,n,i),this.after(r)}before(e){this.isRecording()||this.elementStack.push(e)}after(e){if(!this.isRecording()){const n=this.elementStack.lastIndexOf(e);n>=0&&this.elementStack.splice(n)}}get currIdx(){return this.wrapper.currIdx}}const JMt={recoveryEnabled:!0,nodeLocationTracking:"full",skipValidations:!0,errorMessageProvider:new D1e};class WMt extends nMt{constructor(e,n){const a=n&&"maxLookahead"in n;super(e,Object.assign(Object.assign(Object.assign({},JMt),{lookaheadStrategy:a?new 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if(Ovt(e)){const r=t.consume++;a=()=>t.parser.consume(r,jp,e)}else throw new PDe(e.$cstNode,`Unexpected element type: ${e.$type}`);return _1e(t,n?void 0:Z_(e),a,e.cardinality)}function VMt(t,e){const n=Sq(e);return()=>t.parser.action(n,e)}function XMt(t,e){const n=e.rule.ref;if(Gc(n)){const a=t.subrule++,r=n.fragment,i=e.arguments.length>0?$Mt(n,e.arguments):()=>({});return A=>t.parser.subrule(a,R1e(t,n),r,e,i(A))}else if(_f(n)){const a=t.consume++,r=W6(t,n.name);return()=>t.parser.consume(a,r,e)}else if(n)E0();else throw new PDe(e.$cstNode,`Undefined rule: ${e.rule.$refText}`)}function $Mt(t,e){const n=e.map(a=>vu(a.value));return a=>{const r={};for(let i=0;ie(a)||n(a)}else if(Rvt(t)){const e=vu(t.left),n=vu(t.right);return a=>e(a)&&n(a)}else if(Mvt(t)){const e=vu(t.value);return n=>!e(n)}else if(Fvt(t)){const e=t.parameter.ref.name;return n=>n!==void 0&&n[e]===!0}else if(_vt(t)){const e=!!t.true;return()=>e}E0()}function eFt(t,e){if(e.elements.length===1)return sf(t,e.elements[0]);{const n=[];for(const r of e.elements){const i={ALT:sf(t,r,!0)},A=Z_(r);A&&(i.GATE=vu(A)),n.push(i)}const a=t.or++;return r=>t.parser.alternatives(a,n.map(i=>{const A={ALT:()=>i.ALT(r)},o=i.GATE;return o&&(A.GATE=()=>o(r)),A}))}}function tFt(t,e){if(e.elements.length===1)return sf(t,e.elements[0]);const n=[];for(const o of e.elements){const s={ALT:sf(t,o,!0)},l=Z_(o);l&&(s.GATE=vu(l)),n.push(s)}const a=t.or++,r=(o,s)=>{const l=s.getRuleStack().join("-");return`uGroup_${o}_${l}`},i=o=>t.parser.alternatives(a,n.map((s,l)=>{const d={ALT:()=>!0},u=t.parser;d.ALT=()=>{if(s.ALT(o),!u.isRecording()){const p=r(a,u);u.unorderedGroups.get(p)||u.unorderedGroups.set(p,[]);const m=u.unorderedGroups.get(p);typeof m?.[l]>"u"&&(m[l]=!0)}};const g=s.GATE;return g?d.GATE=()=>g(o):d.GATE=()=>{const p=u.unorderedGroups.get(r(a,u));return!p?.[l]},d})),A=_1e(t,Z_(e),i,"*");return o=>{A(o),t.parser.isRecording()||t.parser.unorderedGroups.delete(r(a,t.parser))}}function nFt(t,e){const n=e.elements.map(a=>sf(t,a));return a=>n.forEach(r=>r(a))}function Z_(t){if(kq(t))return t.guardCondition}function S1e(t,e,n=e.terminal){if(n)if(rf(n)&&Gc(n.rule.ref)){const a=n.rule.ref,r=t.subrule++;return i=>t.parser.subrule(r,R1e(t,a),!1,e,i)}else if(rf(n)&&_f(n.rule.ref)){const a=t.consume++,r=W6(t,n.rule.ref.name);return()=>t.parser.consume(a,r,e)}else if(af(n)){const a=t.consume++,r=W6(t,n.value);return()=>t.parser.consume(a,r,e)}else throw new Error("Could not build cross reference parser");else{if(!e.type.ref)throw new Error("Could not resolve reference to type: "+e.type.$refText);const a=exe(e.type.ref),r=a?.terminal;if(!r)throw new Error("Could not find name assignment for type: "+Sq(e.type.ref));return S1e(t,e,r)}}function aFt(t,e){const n=t.consume++,a=t.tokens[e.value];if(!a)throw new Error("Could not find token for keyword: "+e.value);return()=>t.parser.consume(n,a,e)}function _1e(t,e,n,a){const r=e&&vu(e);if(!a)if(r){const i=t.or++;return A=>t.parser.alternatives(i,[{ALT:()=>n(A),GATE:()=>r(A)},{ALT:vle(),GATE:()=>!r(A)}])}else return n;if(a==="*"){const i=t.many++;return A=>t.parser.many(i,{DEF:()=>n(A),GATE:r?()=>r(A):void 0})}else if(a==="+"){const i=t.many++;if(r){const A=t.or++;return o=>t.parser.alternatives(A,[{ALT:()=>t.parser.atLeastOne(i,{DEF:()=>n(o)}),GATE:()=>r(o)},{ALT:vle(),GATE:()=>!r(o)}])}else return A=>t.parser.atLeastOne(i,{DEF:()=>n(A)})}else if(a==="?"){const i=t.optional++;return A=>t.parser.optional(i,{DEF:()=>n(A),GATE:r?()=>r(A):void 0})}else E0()}function R1e(t,e){const n=rFt(t,e),a=t.parser.getRule(n);if(!a)throw new Error(`Rule "${n}" not found."`);return a}function rFt(t,e){if(Gc(e))return e.name;if(t.ruleNames.has(e))return t.ruleNames.get(e);{let n=e,a=n.$container,r=e.$type;for(;!Gc(a);)(kq(a)||qDe(a)||jDe(a))&&(r=a.elements.indexOf(n).toString()+":"+r),n=a,a=a.$container;return r=a.name+":"+r,t.ruleNames.set(e,r),r}}function W6(t,e){const n=t.tokens[e];if(!n)throw new Error(`Token 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R=O.path,G=!1;R[0]!==S&&(R=S+R,G=!0);let T=x.resolve(R,...K);return G&&T[0]===S&&!O.authority&&(T=T.substring(1)),O.with({path:T})},M.dirname=function(O){if(O.path.length===0||O.path===S)return O;let K=x.dirname(O.path);return K.length===1&&K.charCodeAt(0)===46&&(K=""),O.with({path:K})},M.basename=function(O){return x.basename(O.path)},M.extname=function(O){return x.extname(O.path)}})(F||(F={}))})(),O1e=a})();const{URI:cf,Utils:ZB}=O1e;var Jp;(function(t){t.basename=ZB.basename,t.dirname=ZB.dirname,t.extname=ZB.extname,t.joinPath=ZB.joinPath,t.resolvePath=ZB.resolvePath;function e(r,i){return r?.toString()===i?.toString()}t.equals=e;function n(r,i){const A=typeof r=="string"?r:r.path,o=typeof i=="string"?i:i.path,s=A.split("/").filter(p=>p.length>0),l=o.split("/").filter(p=>p.length>0);let d=0;for(;dr??(r=Z6.create(e.toString(),a.getServices(e).LanguageMetaData.languageId,0,n??""))}}class mFt{constructor(e){this.documentMap=new 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a=[];if(n.includeDeclaration){const i=this.getReferenceToSelf(e);i&&a.push(i)}let r=this.index.findAllReferences(e,this.nodeLocator.getAstNodePath(e));return n.documentUri&&(r=r.filter(i=>Jp.equals(i.sourceUri,n.documentUri))),a.push(...r),OA(a)}getReferenceToSelf(e){const n=this.nameProvider.getNameNode(e);if(n){const a=Hp(e),r=this.nodeLocator.getAstNodePath(e);return{sourceUri:a.uri,sourcePath:r,targetUri:a.uri,targetPath:r,segment:__(n),local:!0}}}}class X_{constructor(e){if(this.map=new Map,e)for(const[n,a]of e)this.add(n,a)}get size(){return p6.sum(OA(this.map.values()).map(e=>e.length))}clear(){this.map.clear()}delete(e,n){if(n===void 0)return this.map.delete(e);{const a=this.map.get(e);if(a){const r=a.indexOf(n);if(r>=0)return a.length===1?this.map.delete(e):a.splice(r,1),!0}return!1}}get(e){var n;return(n=this.map.get(e))!==null&&n!==void 0?n:[]}has(e,n){if(n===void 0)return this.map.has(e);{const a=this.map.get(e);return a?a.indexOf(n)>=0:!1}}add(e,n){return this.map.has(e)?this.map.get(e).push(n):this.map.set(e,[n]),this}addAll(e,n){return this.map.has(e)?this.map.get(e).push(...n):this.map.set(e,Array.from(n)),this}forEach(e){this.map.forEach((n,a)=>n.forEach(r=>e(r,a,this)))}[Symbol.iterator](){return this.entries().iterator()}entries(){return OA(this.map.entries()).flatMap(([e,n])=>n.map(a=>[e,a]))}keys(){return OA(this.map.keys())}values(){return OA(this.map.values()).flat()}entriesGroupedByKey(){return OA(this.map.entries())}}class Gde{get size(){return this.map.size}constructor(e){if(this.map=new Map,this.inverse=new Map,e)for(const[n,a]of e)this.set(n,a)}clear(){this.map.clear(),this.inverse.clear()}set(e,n){return this.map.set(e,n),this.inverse.set(n,e),this}get(e){return this.map.get(e)}getKey(e){return this.inverse.get(e)}delete(e){const n=this.map.get(e);return n!==void 0?(this.map.delete(e),this.inverse.delete(n),!0):!1}}class EFt{constructor(e){this.nameProvider=e.references.NameProvider,this.descriptions=e.workspace.AstNodeDescriptionProvider}async computeExports(e,n=si.CancellationToken.None){return this.computeExportsForNode(e.parseResult.value,e,void 0,n)}async computeExportsForNode(e,n,a=vq,r=si.CancellationToken.None){const i=[];this.exportNode(e,i,n);for(const A of a(e))await Ts(r),this.exportNode(A,i,n);return i}exportNode(e,n,a){const r=this.nameProvider.getName(e);r&&n.push(this.descriptions.createDescription(e,r,a))}async computeLocalScopes(e,n=si.CancellationToken.None){const a=e.parseResult.value,r=new X_;for(const i of I0(a))await Ts(n),this.processNode(i,e,r);return r}processNode(e,n,a){const r=e.$container;if(r){const i=this.nameProvider.getName(e);i&&a.add(r,this.descriptions.createDescription(e,i,n))}}}class Ode{constructor(e,n,a){var r;this.elements=e,this.outerScope=n,this.caseInsensitive=(r=a?.caseInsensitive)!==null&&r!==void 0?r:!1}getAllElements(){return this.outerScope?this.elements.concat(this.outerScope.getAllElements()):this.elements}getElement(e){const n=this.caseInsensitive?this.elements.find(a=>a.name.toLowerCase()===e.toLowerCase()):this.elements.find(a=>a.name===e);if(n)return n;if(this.outerScope)return this.outerScope.getElement(e)}}class IFt{constructor(e,n,a){var r;this.elements=new Map,this.caseInsensitive=(r=a?.caseInsensitive)!==null&&r!==void 0?r:!1;for(const i of e){const A=this.caseInsensitive?i.name.toLowerCase():i.name;this.elements.set(A,i)}this.outerScope=n}getElement(e){const n=this.caseInsensitive?e.toLowerCase():e,a=this.elements.get(n);if(a)return a;if(this.outerScope)return this.outerScope.getElement(e)}getAllElements(){let e=OA(this.elements.values());return this.outerScope&&(e=e.concat(this.outerScope.getAllElements())),e}}class U1e{constructor(){this.toDispose=[],this.isDisposed=!1}onDispose(e){this.toDispose.push(e)}dispose(){this.throwIfDisposed(),this.clear(),this.isDisposed=!0,this.toDispose.forEach(e=>e.dispose())}throwIfDisposed(){if(this.isDisposed)throw new Error("This cache has already been disposed")}}class BFt extends U1e{constructor(){super(...arguments),this.cache=new Map}has(e){return this.throwIfDisposed(),this.cache.has(e)}set(e,n){this.throwIfDisposed(),this.cache.set(e,n)}get(e,n){if(this.throwIfDisposed(),this.cache.has(e))return this.cache.get(e);if(n){const a=n();return this.cache.set(e,a),a}else return}delete(e){return this.throwIfDisposed(),this.cache.delete(e)}clear(){this.throwIfDisposed(),this.cache.clear()}}class yFt extends U1e{constructor(e){super(),this.cache=new Map,this.converter=e??(n=>n)}has(e,n){return this.throwIfDisposed(),this.cacheForContext(e).has(n)}set(e,n,a){this.throwIfDisposed(),this.cacheForContext(e).set(n,a)}get(e,n,a){this.throwIfDisposed();const r=this.cacheForContext(e);if(r.has(n))return r.get(n);if(a){const i=a();return r.set(n,i),i}else return}delete(e,n){return this.throwIfDisposed(),this.cacheForContext(e).delete(n)}clear(e){if(this.throwIfDisposed(),e){const n=this.converter(e);this.cache.delete(n)}else this.cache.clear()}cacheForContext(e){const n=this.converter(e);let a=this.cache.get(n);return a||(a=new Map,this.cache.set(n,a)),a}}class QFt extends BFt{constructor(e,n){super(),n?(this.toDispose.push(e.workspace.DocumentBuilder.onBuildPhase(n,()=>{this.clear()})),this.toDispose.push(e.workspace.DocumentBuilder.onUpdate((a,r)=>{r.length>0&&this.clear()}))):this.toDispose.push(e.workspace.DocumentBuilder.onUpdate(()=>{this.clear()}))}}class wFt{constructor(e){this.reflection=e.shared.AstReflection,this.nameProvider=e.references.NameProvider,this.descriptions=e.workspace.AstNodeDescriptionProvider,this.indexManager=e.shared.workspace.IndexManager,this.globalScopeCache=new QFt(e.shared)}getScope(e){const n=[],a=this.reflection.getReferenceType(e),r=Hp(e.container).precomputedScopes;if(r){let A=e.container;do{const o=r.get(A);o.length>0&&n.push(OA(o).filter(s=>this.reflection.isSubtype(s.type,a))),A=A.$container}while(A)}let i=this.getGlobalScope(a,e);for(let A=n.length-1;A>=0;A--)i=this.createScope(n[A],i);return i}createScope(e,n,a){return new Ode(OA(e),n,a)}createScopeForNodes(e,n,a){const r=OA(e).map(i=>{const A=this.nameProvider.getName(i);if(A)return this.descriptions.createDescription(i,A)}).nonNullable();return new Ode(r,n,a)}getGlobalScope(e,n){return this.globalScopeCache.get(e,()=>new IFt(this.indexManager.allElements(e)))}}function kFt(t){return typeof t.$comment=="string"}function Ude(t){return typeof t=="object"&&!!t&&("$ref"in t||"$error"in t)}class vFt{constructor(e){this.ignoreProperties=new Set(["$container","$containerProperty","$containerIndex","$document","$cstNode"]),this.langiumDocuments=e.shared.workspace.LangiumDocuments,this.astNodeLocator=e.workspace.AstNodeLocator,this.nameProvider=e.references.NameProvider,this.commentProvider=e.documentation.CommentProvider}serialize(e,n){const a=n??{},r=n?.replacer,i=(o,s)=>this.replacer(o,s,a),A=r?(o,s)=>r(o,s,i):i;try{return this.currentDocument=Hp(e),JSON.stringify(e,A,n?.space)}finally{this.currentDocument=void 0}}deserialize(e,n){const a=n??{},r=JSON.parse(e);return this.linkNode(r,r,a),r}replacer(e,n,{refText:a,sourceText:r,textRegions:i,comments:A,uriConverter:o}){var s,l,d,u;if(!this.ignoreProperties.has(e))if(hd(n)){const g=n.ref,p=a?n.$refText:void 0;if(g){const m=Hp(g);let f="";this.currentDocument&&this.currentDocument!==m&&(o?f=o(m.uri,n):f=m.uri.toString());const b=this.astNodeLocator.getAstNodePath(g);return{$ref:`${f}#${b}`,$refText:p}}else return{$error:(l=(s=n.error)===null||s===void 0?void 0:s.message)!==null&&l!==void 0?l:"Could not resolve reference",$refText:p}}else if(ro(n)){let g;if(i&&(g=this.addAstNodeRegionWithAssignmentsTo(Object.assign({},n)),(!e||n.$document)&&g?.$textRegion&&(g.$textRegion.documentURI=(d=this.currentDocument)===null||d===void 0?void 0:d.uri.toString())),r&&!e&&(g??(g=Object.assign({},n)),g.$sourceText=(u=n.$cstNode)===null||u===void 0?void 0:u.text),A){g??(g=Object.assign({},n));const p=this.commentProvider.getComment(n);p&&(g.$comment=p.replace(/\r/g,""))}return g??n}else return n}addAstNodeRegionWithAssignmentsTo(e){const n=a=>({offset:a.offset,end:a.end,length:a.length,range:a.range});if(e.$cstNode){const a=e.$textRegion=n(e.$cstNode),r=a.assignments={};return Object.keys(e).filter(i=>!i.startsWith("$")).forEach(i=>{const A=lDt(e.$cstNode,i).map(n);A.length!==0&&(r[i]=A)}),e}}linkNode(e,n,a,r,i,A){for(const[s,l]of Object.entries(e))if(Array.isArray(l))for(let d=0;d{await this.handleException(()=>e.call(n,a,r,i),"An error occurred during validation",r,a)}}async handleException(e,n,a,r){try{await e()}catch(i){if(_N(i))throw i;console.error(`${n}:`,i),i instanceof Error&&i.stack&&console.error(i.stack);const A=i instanceof Error?i.message:String(i);a("error",`${n}: ${A}`,{node:r})}}addEntry(e,n){if(e==="AstNode"){this.entries.add("AstNode",n);return}for(const a of this.reflection.getAllSubTypes(e))this.entries.add(a,n)}getChecks(e,n){let a=OA(this.entries.get(e)).concat(this.entries.get("AstNode"));return n&&(a=a.filter(r=>n.includes(r.category))),a.map(r=>r.check)}registerBeforeDocument(e,n=this){this.entriesBefore.push(this.wrapPreparationException(e,"An error occurred during set-up of the validation",n))}registerAfterDocument(e,n=this){this.entriesAfter.push(this.wrapPreparationException(e,"An error occurred during tear-down of the validation",n))}wrapPreparationException(e,n,a){return async(r,i,A,o)=>{await this.handleException(()=>e.call(a,r,i,A,o),n,i,r)}}get checksBefore(){return this.entriesBefore}get checksAfter(){return this.entriesAfter}}class SFt{constructor(e){this.validationRegistry=e.validation.ValidationRegistry,this.metadata=e.LanguageMetaData}async validateDocument(e,n={},a=si.CancellationToken.None){const r=e.parseResult,i=[];if(await Ts(a),(!n.categories||n.categories.includes("built-in"))&&(this.processLexingErrors(r,i,n),n.stopAfterLexingErrors&&i.some(A=>{var o;return((o=A.data)===null||o===void 0?void 0:o.code)===dl.LexingError})||(this.processParsingErrors(r,i,n),n.stopAfterParsingErrors&&i.some(A=>{var o;return((o=A.data)===null||o===void 0?void 0:o.code)===dl.ParsingError}))||(this.processLinkingErrors(e,i,n),n.stopAfterLinkingErrors&&i.some(A=>{var o;return((o=A.data)===null||o===void 0?void 0:o.code)===dl.LinkingError}))))return i;try{i.push(...await this.validateAst(r.value,n,a))}catch(A){if(_N(A))throw A;console.error("An error occurred during validation:",A)}return await Ts(a),i}processLexingErrors(e,n,a){var r,i,A;const o=[...e.lexerErrors,...(i=(r=e.lexerReport)===null||r===void 0?void 0:r.diagnostics)!==null&&i!==void 0?i:[]];for(const s of o){const l=(A=s.severity)!==null&&A!==void 0?A:"error",d={severity:H9(l),range:{start:{line:s.line-1,character:s.column-1},end:{line:s.line-1,character:s.column+s.length-1}},message:s.message,data:RFt(l),source:this.getSource()};n.push(d)}}processParsingErrors(e,n,a){for(const r of e.parserErrors){let i;if(isNaN(r.token.startOffset)){if("previousToken"in r){const A=r.previousToken;if(isNaN(A.startOffset)){const o={line:0,character:0};i={start:o,end:o}}else{const o={line:A.endLine-1,character:A.endColumn};i={start:o,end:o}}}}else i=h6(r.token);if(i){const A={severity:H9("error"),range:i,message:r.message,data:zy(dl.ParsingError),source:this.getSource()};n.push(A)}}}processLinkingErrors(e,n,a){for(const r of e.references){const i=r.error;if(i){const A={node:i.container,property:i.property,index:i.index,data:{code:dl.LinkingError,containerType:i.container.$type,property:i.property,refText:i.reference.$refText}};n.push(this.toDiagnostic("error",i.message,A))}}}async validateAst(e,n,a=si.CancellationToken.None){const r=[],i=(A,o,s)=>{r.push(this.toDiagnostic(A,o,s))};return await this.validateAstBefore(e,n,i,a),await this.validateAstNodes(e,n,i,a),await this.validateAstAfter(e,n,i,a),r}async validateAstBefore(e,n,a,r=si.CancellationToken.None){var i;const A=this.validationRegistry.checksBefore;for(const o of A)await Ts(r),await o(e,a,(i=n.categories)!==null&&i!==void 0?i:[],r)}async validateAstNodes(e,n,a,r=si.CancellationToken.None){await Promise.all(TC(e).map(async i=>{await Ts(r);const A=this.validationRegistry.getChecks(i.$type,n.categories);for(const o of A)await o(i,a,r)}))}async validateAstAfter(e,n,a,r=si.CancellationToken.None){var i;const A=this.validationRegistry.checksAfter;for(const o of A)await Ts(r),await o(e,a,(i=n.categories)!==null&&i!==void 0?i:[],r)}toDiagnostic(e,n,a){return{message:n,range:_Ft(a),severity:H9(e),code:a.code,codeDescription:a.codeDescription,tags:a.tags,relatedInformation:a.relatedInformation,data:a.data,source:this.getSource()}}getSource(){return this.metadata.languageId}}function _Ft(t){if(t.range)return t.range;let e;return typeof t.property=="string"?e=$De(t.node.$cstNode,t.property,t.index):typeof t.keyword=="string"&&(e=dDt(t.node.$cstNode,t.keyword,t.index)),e??(e=t.node.$cstNode),e?e.range:{start:{line:0,character:0},end:{line:0,character:0}}}function H9(t){switch(t){case"error":return 1;case"warning":return 2;case"info":return 3;case"hint":return 4;default:throw new Error("Invalid diagnostic severity: "+t)}}function RFt(t){switch(t){case"error":return zy(dl.LexingError);case"warning":return zy(dl.LexingWarning);case"info":return zy(dl.LexingInfo);case"hint":return zy(dl.LexingHint);default:throw new Error("Invalid diagnostic severity: "+t)}}var dl;(function(t){t.LexingError="lexing-error",t.LexingWarning="lexing-warning",t.LexingInfo="lexing-info",t.LexingHint="lexing-hint",t.ParsingError="parsing-error",t.LinkingError="linking-error"})(dl||(dl={}));class NFt{constructor(e){this.astNodeLocator=e.workspace.AstNodeLocator,this.nameProvider=e.references.NameProvider}createDescription(e,n,a){const r=a??Hp(e);n??(n=this.nameProvider.getName(e));const i=this.astNodeLocator.getAstNodePath(e);if(!n)throw new Error(`Node at path ${i} has no name.`);let A;const o=()=>{var s;return A??(A=__((s=this.nameProvider.getNameNode(e))!==null&&s!==void 0?s:e.$cstNode))};return{node:e,name:n,get nameSegment(){return o()},selectionSegment:__(e.$cstNode),type:e.$type,documentUri:r.uri,path:i}}}class MFt{constructor(e){this.nodeLocator=e.workspace.AstNodeLocator}async createDescriptions(e,n=si.CancellationToken.None){const a=[],r=e.parseResult.value;for(const i of TC(r))await Ts(n),JDe(i).filter(A=>!t1(A)).forEach(A=>{const o=this.createDescription(A);o&&a.push(o)});return a}createDescription(e){const n=e.reference.$nodeDescription,a=e.reference.$refNode;if(!n||!a)return;const r=Hp(e.container).uri;return{sourceUri:r,sourcePath:this.nodeLocator.getAstNodePath(e.container),targetUri:n.documentUri,targetPath:n.path,segment:__(a),local:Jp.equals(n.documentUri,r)}}}class FFt{constructor(){this.segmentSeparator="/",this.indexSeparator="@"}getAstNodePath(e){if(e.$container){const n=this.getAstNodePath(e.$container),a=this.getPathSegment(e);return n+this.segmentSeparator+a}return""}getPathSegment({$containerProperty:e,$containerIndex:n}){if(!e)throw new Error("Missing '$containerProperty' in AST node.");return n!==void 0?e+this.indexSeparator+n:e}getAstNode(e,n){return n.split(this.segmentSeparator).reduce((r,i)=>{if(!r||i.length===0)return r;const A=i.indexOf(this.indexSeparator);if(A>0){const o=i.substring(0,A),s=parseInt(i.substring(A+1)),l=r[o];return l?.[s]}return r[i]},e)}}var LFt=L1e();class TFt{constructor(e){this._ready=new cj,this.settings={},this.workspaceConfig=!1,this.onConfigurationSectionUpdateEmitter=new LFt.Emitter,this.serviceRegistry=e.ServiceRegistry}get ready(){return this._ready.promise}initialize(e){var n,a;this.workspaceConfig=(a=(n=e.capabilities.workspace)===null||n===void 0?void 0:n.configuration)!==null&&a!==void 0?a:!1}async initialized(e){if(this.workspaceConfig){if(e.register){const n=this.serviceRegistry.all;e.register({section:n.map(a=>this.toSectionName(a.LanguageMetaData.languageId))})}if(e.fetchConfiguration){const n=this.serviceRegistry.all.map(r=>({section:this.toSectionName(r.LanguageMetaData.languageId)})),a=await e.fetchConfiguration(n);n.forEach((r,i)=>{this.updateSectionConfiguration(r.section,a[i])})}}this._ready.resolve()}updateConfiguration(e){e.settings&&Object.keys(e.settings).forEach(n=>{const a=e.settings[n];this.updateSectionConfiguration(n,a),this.onConfigurationSectionUpdateEmitter.fire({section:n,configuration:a})})}updateSectionConfiguration(e,n){this.settings[e]=n}async getConfiguration(e,n){await this.ready;const a=this.toSectionName(e);if(this.settings[a])return this.settings[a][n]}toSectionName(e){return`${e}`}get onConfigurationSectionUpdate(){return this.onConfigurationSectionUpdateEmitter.event}}var BQ;(function(t){function e(n){return{dispose:async()=>await n()}}t.create=e})(BQ||(BQ={}));class GFt{constructor(e){this.updateBuildOptions={validation:{categories:["built-in","fast"]}},this.updateListeners=[],this.buildPhaseListeners=new X_,this.documentPhaseListeners=new X_,this.buildState=new Map,this.documentBuildWaiters=new Map,this.currentState=Xr.Changed,this.langiumDocuments=e.workspace.LangiumDocuments,this.langiumDocumentFactory=e.workspace.LangiumDocumentFactory,this.textDocuments=e.workspace.TextDocuments,this.indexManager=e.workspace.IndexManager,this.serviceRegistry=e.ServiceRegistry}async build(e,n={},a=si.CancellationToken.None){var r,i;for(const A of e){const o=A.uri.toString();if(A.state===Xr.Validated){if(typeof n.validation=="boolean"&&n.validation)A.state=Xr.IndexedReferences,A.diagnostics=void 0,this.buildState.delete(o);else if(typeof n.validation=="object"){const s=this.buildState.get(o),l=(r=s?.result)===null||r===void 0?void 0:r.validationChecks;if(l){const u=((i=n.validation.categories)!==null&&i!==void 0?i:$_.all).filter(g=>!l.includes(g));u.length>0&&(this.buildState.set(o,{completed:!1,options:{validation:Object.assign(Object.assign({},n.validation),{categories:u})},result:s.result}),A.state=Xr.IndexedReferences)}}}else this.buildState.delete(o)}this.currentState=Xr.Changed,await this.emitUpdate(e.map(A=>A.uri),[]),await this.buildDocuments(e,n,a)}async update(e,n,a=si.CancellationToken.None){this.currentState=Xr.Changed;for(const A of n)this.langiumDocuments.deleteDocument(A),this.buildState.delete(A.toString()),this.indexManager.remove(A);for(const A of e){if(!this.langiumDocuments.invalidateDocument(A)){const s=this.langiumDocumentFactory.fromModel({$type:"INVALID"},A);s.state=Xr.Changed,this.langiumDocuments.addDocument(s)}this.buildState.delete(A.toString())}const r=OA(e).concat(n).map(A=>A.toString()).toSet();this.langiumDocuments.all.filter(A=>!r.has(A.uri.toString())&&this.shouldRelink(A,r)).forEach(A=>{this.serviceRegistry.getServices(A.uri).references.Linker.unlink(A),A.state=Math.min(A.state,Xr.ComputedScopes),A.diagnostics=void 0}),await this.emitUpdate(e,n),await Ts(a);const i=this.sortDocuments(this.langiumDocuments.all.filter(A=>{var o;return A.statea(e,n)))}sortDocuments(e){let n=0,a=e.length-1;for(;n=0&&!this.hasTextDocument(e[a]);)a--;na.error!==void 0)?!0:this.indexManager.isAffected(e,n)}onUpdate(e){return this.updateListeners.push(e),BQ.create(()=>{const n=this.updateListeners.indexOf(e);n>=0&&this.updateListeners.splice(n,1)})}async buildDocuments(e,n,a){this.prepareBuild(e,n),await this.runCancelable(e,Xr.Parsed,a,i=>this.langiumDocumentFactory.update(i,a)),await this.runCancelable(e,Xr.IndexedContent,a,i=>this.indexManager.updateContent(i,a)),await this.runCancelable(e,Xr.ComputedScopes,a,async i=>{const A=this.serviceRegistry.getServices(i.uri).references.ScopeComputation;i.precomputedScopes=await A.computeLocalScopes(i,a)}),await this.runCancelable(e,Xr.Linked,a,i=>this.serviceRegistry.getServices(i.uri).references.Linker.link(i,a)),await this.runCancelable(e,Xr.IndexedReferences,a,i=>this.indexManager.updateReferences(i,a));const r=e.filter(i=>this.shouldValidate(i));await this.runCancelable(r,Xr.Validated,a,i=>this.validate(i,a));for(const i of e){const A=this.buildState.get(i.uri.toString());A&&(A.completed=!0)}}prepareBuild(e,n){for(const a of e){const r=a.uri.toString(),i=this.buildState.get(r);(!i||i.completed)&&this.buildState.set(r,{completed:!1,options:n,result:i?.result})}}async runCancelable(e,n,a,r){const i=e.filter(o=>o.stateo.state===n);await this.notifyBuildPhase(A,n,a),this.currentState=n}onBuildPhase(e,n){return this.buildPhaseListeners.add(e,n),BQ.create(()=>{this.buildPhaseListeners.delete(e,n)})}onDocumentPhase(e,n){return this.documentPhaseListeners.add(e,n),BQ.create(()=>{this.documentPhaseListeners.delete(e,n)})}waitUntil(e,n,a){let r;if(n&&"path"in n?r=n:a=n,a??(a=si.CancellationToken.None),r){const i=this.langiumDocuments.getDocument(r);if(i&&i.state>e)return Promise.resolve(r)}return this.currentState>=e?Promise.resolve(void 0):a.isCancellationRequested?Promise.reject(V_):new Promise((i,A)=>{const o=this.onBuildPhase(e,()=>{if(o.dispose(),s.dispose(),r){const l=this.langiumDocuments.getDocument(r);i(l?.uri)}else i(void 0)}),s=a.onCancellationRequested(()=>{o.dispose(),s.dispose(),A(V_)})})}async notifyDocumentPhase(e,n,a){const i=this.documentPhaseListeners.get(n).slice();for(const A of i)try{await A(e,a)}catch(o){if(!_N(o))throw o}}async notifyBuildPhase(e,n,a){if(e.length===0)return;const i=this.buildPhaseListeners.get(n).slice();for(const A of i)await Ts(a),await A(e,a)}shouldValidate(e){return!!this.getBuildOptions(e).validation}async validate(e,n){var a,r;const i=this.serviceRegistry.getServices(e.uri).validation.DocumentValidator,A=this.getBuildOptions(e).validation,o=typeof A=="object"?A:void 0,s=await i.validateDocument(e,o,n);e.diagnostics?e.diagnostics.push(...s):e.diagnostics=s;const l=this.buildState.get(e.uri.toString());if(l){(a=l.result)!==null&&a!==void 0||(l.result={});const d=(r=o?.categories)!==null&&r!==void 0?r:$_.all;l.result.validationChecks?l.result.validationChecks.push(...d):l.result.validationChecks=[...d]}}getBuildOptions(e){var n,a;return(a=(n=this.buildState.get(e.uri.toString()))===null||n===void 0?void 0:n.options)!==null&&a!==void 0?a:{}}}class OFt{constructor(e){this.symbolIndex=new Map,this.symbolByTypeIndex=new yFt,this.referenceIndex=new Map,this.documents=e.workspace.LangiumDocuments,this.serviceRegistry=e.ServiceRegistry,this.astReflection=e.AstReflection}findAllReferences(e,n){const a=Hp(e).uri,r=[];return this.referenceIndex.forEach(i=>{i.forEach(A=>{Jp.equals(A.targetUri,a)&&A.targetPath===n&&r.push(A)})}),OA(r)}allElements(e,n){let a=OA(this.symbolIndex.keys());return n&&(a=a.filter(r=>!n||n.has(r))),a.map(r=>this.getFileDescriptions(r,e)).flat()}getFileDescriptions(e,n){var a;return n?this.symbolByTypeIndex.get(e,n,()=>{var i;return((i=this.symbolIndex.get(e))!==null&&i!==void 0?i:[]).filter(o=>this.astReflection.isSubtype(o.type,n))}):(a=this.symbolIndex.get(e))!==null&&a!==void 0?a:[]}remove(e){const n=e.toString();this.symbolIndex.delete(n),this.symbolByTypeIndex.clear(n),this.referenceIndex.delete(n)}async updateContent(e,n=si.CancellationToken.None){const r=await this.serviceRegistry.getServices(e.uri).references.ScopeComputation.computeExports(e,n),i=e.uri.toString();this.symbolIndex.set(i,r),this.symbolByTypeIndex.clear(i)}async updateReferences(e,n=si.CancellationToken.None){const r=await this.serviceRegistry.getServices(e.uri).workspace.ReferenceDescriptionProvider.createDescriptions(e,n);this.referenceIndex.set(e.uri.toString(),r)}isAffected(e,n){const a=this.referenceIndex.get(e.uri.toString());return a?a.some(r=>!r.local&&n.has(r.targetUri.toString())):!1}}class UFt{constructor(e){this.initialBuildOptions={},this._ready=new cj,this.serviceRegistry=e.ServiceRegistry,this.langiumDocuments=e.workspace.LangiumDocuments,this.documentBuilder=e.workspace.DocumentBuilder,this.fileSystemProvider=e.workspace.FileSystemProvider,this.mutex=e.workspace.WorkspaceLock}get ready(){return this._ready.promise}get workspaceFolders(){return this.folders}initialize(e){var n;this.folders=(n=e.workspaceFolders)!==null&&n!==void 0?n:void 0}initialized(e){return this.mutex.write(n=>{var a;return this.initializeWorkspace((a=this.folders)!==null&&a!==void 0?a:[],n)})}async initializeWorkspace(e,n=si.CancellationToken.None){const a=await this.performStartup(e);await Ts(n),await this.documentBuilder.build(a,this.initialBuildOptions,n)}async performStartup(e){const n=this.serviceRegistry.all.flatMap(i=>i.LanguageMetaData.fileExtensions),a=[],r=i=>{a.push(i),this.langiumDocuments.hasDocument(i.uri)||this.langiumDocuments.addDocument(i)};return await this.loadAdditionalDocuments(e,r),await Promise.all(e.map(i=>[i,this.getRootFolder(i)]).map(async i=>this.traverseFolder(...i,n,r))),this._ready.resolve(),a}loadAdditionalDocuments(e,n){return Promise.resolve()}getRootFolder(e){return cf.parse(e.uri)}async traverseFolder(e,n,a,r){const i=await this.fileSystemProvider.readDirectory(n);await Promise.all(i.map(async A=>{if(this.includeEntry(e,A,a)){if(A.isDirectory)await this.traverseFolder(e,A.uri,a,r);else if(A.isFile){const o=await this.langiumDocuments.getOrCreateDocument(A.uri);r(o)}}}))}includeEntry(e,n,a){const r=Jp.basename(n.uri);if(r.startsWith("."))return!1;if(n.isDirectory)return r!=="node_modules"&&r!=="out";if(n.isFile){const i=Jp.extname(n.uri);return a.includes(i)}return!1}}class PFt{buildUnexpectedCharactersMessage(e,n,a,r,i){return k6.buildUnexpectedCharactersMessage(e,n,a,r,i)}buildUnableToPopLexerModeMessage(e){return k6.buildUnableToPopLexerModeMessage(e)}}const KFt={mode:"full"};class HFt{constructor(e){this.errorMessageProvider=e.parser.LexerErrorMessageProvider,this.tokenBuilder=e.parser.TokenBuilder;const n=this.tokenBuilder.buildTokens(e.Grammar,{caseInsensitive:e.LanguageMetaData.caseInsensitive});this.tokenTypes=this.toTokenTypeDictionary(n);const a=Pde(n)?Object.values(n):n,r=e.LanguageMetaData.mode==="production";this.chevrotainLexer=new ls(a,{positionTracking:"full",skipValidations:r,errorMessageProvider:this.errorMessageProvider})}get definition(){return this.tokenTypes}tokenize(e,n=KFt){var a,r,i;const A=this.chevrotainLexer.tokenize(e);return{tokens:A.tokens,errors:A.errors,hidden:(a=A.groups.hidden)!==null&&a!==void 0?a:[],report:(i=(r=this.tokenBuilder).flushLexingReport)===null||i===void 0?void 0:i.call(r,e)}}toTokenTypeDictionary(e){if(Pde(e))return e;const n=P1e(e)?Object.values(e.modes).flat():e,a={};return n.forEach(r=>a[r.name]=r),a}}function YFt(t){return Array.isArray(t)&&(t.length===0||"name"in t[0])}function P1e(t){return t&&"modes"in t&&"defaultMode"in t}function Pde(t){return!YFt(t)&&!P1e(t)}function qFt(t,e,n){let a,r;typeof t=="string"?(r=e,a=n):(r=t.range.start,a=e),r||(r=cr.create(0,0));const i=K1e(t),A=lj(a),o=JFt({lines:i,position:r,options:A});return $Ft({index:0,tokens:o,position:r})}function jFt(t,e){const n=lj(e),a=K1e(t);if(a.length===0)return!1;const r=a[0],i=a[a.length-1],A=n.start,o=n.end;return!!A?.exec(r)&&!!o?.exec(i)}function K1e(t){let e="";return typeof t=="string"?e=t:e=t.text,e.split(Xvt)}const Kde=/\s*(@([\p{L}][\p{L}\p{N}]*)?)/uy,zFt=/\{(@[\p{L}][\p{L}\p{N}]*)(\s*)([^\r\n}]+)?\}/gu;function JFt(t){var e,n,a;const r=[];let i=t.position.line,A=t.position.character;for(let o=0;o=d.length){if(r.length>0){const p=cr.create(i,A);r.push({type:"break",content:"",range:Oa.create(p,p)})}}else{Kde.lastIndex=u;const p=Kde.exec(d);if(p){const 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A=e.substring(i);A.length>0&&r.push({type:"text",content:A,range:Oa.create(cr.create(n,i+a),cr.create(n,i+a+A.length))})}return r}const ZFt=/\S/,VFt=/\s*$/;function X6(t,e){const n=t.substring(e).match(ZFt);return n?e+n.index:t.length}function XFt(t){const e=t.match(VFt);if(e&&typeof e.index=="number")return e.index}function $Ft(t){var e,n,a,r;const i=cr.create(t.position.line,t.position.character);if(t.tokens.length===0)return new Hde([],Oa.create(i,i));const A=[];for(;t.indexn.name===e)}getTags(e){return this.getAllTags().filter(n=>n.name===e)}getAllTags(){return this.elements.filter(e=>"name"in e)}toString(){let e="";for(const n of this.elements)if(e.length===0)e=n.toString();else{const a=n.toString();e+=Yde(e)+a}return e.trim()}toMarkdown(e){let n="";for(const a of this.elements)if(n.length===0)n=a.toMarkdown(e);else{const r=a.toMarkdown(e);n+=Yde(n)+r}return n.trim()}}class q9{constructor(e,n,a,r){this.name=e,this.content=n,this.inline=a,this.range=r}toString(){let e=`@${this.name}`;const n=this.content.toString();return this.content.inlines.length===1?e=`${e} ${n}`:this.content.inlines.length>1&&(e=`${e} +${n}`),this.inline?`{${e}}`:e}toMarkdown(e){var n,a;return(a=(n=e?.renderTag)===null||n===void 0?void 0:n.call(e,this))!==null&&a!==void 0?a:this.toMarkdownDefault(e)}toMarkdownDefault(e){const n=this.content.toMarkdown(e);if(this.inline){const i=aLt(this.name,n,e??{});if(typeof i=="string")return i}let a="";e?.tag==="italic"||e?.tag===void 0?a="*":e?.tag==="bold"?a="**":e?.tag==="bold-italic"&&(a="***");let r=`${a}@${this.name}${a}`;return this.content.inlines.length===1?r=`${r} — ${n}`:this.content.inlines.length>1&&(r=`${r} +${n}`),this.inline?`{${r}}`:r}}function aLt(t,e,n){var a,r;if(t==="linkplain"||t==="linkcode"||t==="link"){const i=e.indexOf(" ");let A=e;if(i>0){const s=X6(e,i);A=e.substring(s),e=e.substring(0,i)}return(t==="linkcode"||t==="link"&&n.link==="code")&&(A=`\`${A}\``),(r=(a=n.renderLink)===null||a===void 0?void 0:a.call(n,e,A))!==null&&r!==void 0?r:rLt(e,A)}}function rLt(t,e){try{return cf.parse(t,!0),`[${e}](${t})`}catch{return t}}class $6{constructor(e,n){this.inlines=e,this.range=n}toString(){let e="";for(let n=0;na.range.start.line&&(e+=` +`)}return e}toMarkdown(e){let n="";for(let a=0;ar.range.start.line&&(n+=` +`)}return n}}class j1e{constructor(e,n){this.text=e,this.range=n}toString(){return this.text}toMarkdown(){return this.text}}function Yde(t){return t.endsWith(` +`)?` +`:` + +`}class iLt{constructor(e){this.indexManager=e.shared.workspace.IndexManager,this.commentProvider=e.documentation.CommentProvider}getDocumentation(e){const n=this.commentProvider.getComment(e);if(n&&jFt(n))return qFt(n).toMarkdown({renderLink:(r,i)=>this.documentationLinkRenderer(e,r,i),renderTag:r=>this.documentationTagRenderer(e,r)})}documentationLinkRenderer(e,n,a){var r;const i=(r=this.findNameInPrecomputedScopes(e,n))!==null&&r!==void 0?r:this.findNameInGlobalScope(e,n);if(i&&i.nameSegment){const A=i.nameSegment.range.start.line+1,o=i.nameSegment.range.start.character+1,s=i.documentUri.with({fragment:`L${A},${o}`});return`[${a}](${s.toString()})`}else return}documentationTagRenderer(e,n){}findNameInPrecomputedScopes(e,n){const r=Hp(e).precomputedScopes;if(!r)return;let i=e;do{const o=r.get(i).find(s=>s.name===n);if(o)return o;i=i.$container}while(i)}findNameInGlobalScope(e,n){return this.indexManager.allElements().find(r=>r.name===n)}}class ALt{constructor(e){this.grammarConfig=()=>e.parser.GrammarConfig}getComment(e){var n;return kFt(e)?e.$comment:(n=Dvt(e.$cstNode,this.grammarConfig().multilineCommentRules))===null||n===void 0?void 0:n.text}}class oLt{constructor(e){this.syncParser=e.parser.LangiumParser}parse(e,n){return Promise.resolve(this.syncParser.parse(e))}}class sLt{constructor(){this.previousTokenSource=new si.CancellationTokenSource,this.writeQueue=[],this.readQueue=[],this.done=!0}write(e){this.cancelWrite();const n=uFt();return this.previousTokenSource=n,this.enqueue(this.writeQueue,e,n.token)}read(e){return this.enqueue(this.readQueue,e)}enqueue(e,n,a=si.CancellationToken.None){const r=new cj,i={action:n,deferred:r,cancellationToken:a};return e.push(i),this.performNextOperation(),r.promise}async performNextOperation(){if(!this.done)return;const e=[];if(this.writeQueue.length>0)e.push(this.writeQueue.shift());else if(this.readQueue.length>0)e.push(...this.readQueue.splice(0,this.readQueue.length));else return;this.done=!1,await Promise.all(e.map(async({action:n,deferred:a,cancellationToken:r})=>{try{const i=await Promise.resolve().then(()=>n(r));a.resolve(i)}catch(i){_N(i)?a.resolve(void 0):a.reject(i)}})),this.done=!0,this.performNextOperation()}cancelWrite(){this.previousTokenSource.cancel()}}class cLt{constructor(e){this.grammarElementIdMap=new Gde,this.tokenTypeIdMap=new Gde,this.grammar=e.Grammar,this.lexer=e.parser.Lexer,this.linker=e.references.Linker}dehydrate(e){return{lexerErrors:e.lexerErrors,lexerReport:e.lexerReport?this.dehydrateLexerReport(e.lexerReport):void 0,parserErrors:e.parserErrors.map(n=>Object.assign(Object.assign({},n),{message:n.message})),value:this.dehydrateAstNode(e.value,this.createDehyrationContext(e.value))}}dehydrateLexerReport(e){return e}createDehyrationContext(e){const n=new Map,a=new Map;for(const r of TC(e))n.set(r,{});if(e.$cstNode)for(const r of m6(e.$cstNode))a.set(r,{});return{astNodes:n,cstNodes:a}}dehydrateAstNode(e,n){const a=n.astNodes.get(e);a.$type=e.$type,a.$containerIndex=e.$containerIndex,a.$containerProperty=e.$containerProperty,e.$cstNode!==void 0&&(a.$cstNode=this.dehydrateCstNode(e.$cstNode,n));for(const[r,i]of Object.entries(e))if(!r.startsWith("$"))if(Array.isArray(i)){const A=[];a[r]=A;for(const o of i)ro(o)?A.push(this.dehydrateAstNode(o,n)):hd(o)?A.push(this.dehydrateReference(o,n)):A.push(o)}else ro(i)?a[r]=this.dehydrateAstNode(i,n):hd(i)?a[r]=this.dehydrateReference(i,n):i!==void 0&&(a[r]=i);return a}dehydrateReference(e,n){const a={};return a.$refText=e.$refText,e.$refNode&&(a.$refNode=n.cstNodes.get(e.$refNode)),a}dehydrateCstNode(e,n){const a=n.cstNodes.get(e);return UDe(e)?a.fullText=e.fullText:a.grammarSource=this.getGrammarElementId(e.grammarSource),a.hidden=e.hidden,a.astNode=n.astNodes.get(e.astNode),Bw(e)?a.content=e.content.map(r=>this.dehydrateCstNode(r,n)):ODe(e)&&(a.tokenType=e.tokenType.name,a.offset=e.offset,a.length=e.length,a.startLine=e.range.start.line,a.startColumn=e.range.start.character,a.endLine=e.range.end.line,a.endColumn=e.range.end.character),a}hydrate(e){const n=e.value,a=this.createHydrationContext(n);return"$cstNode"in n&&this.hydrateCstNode(n.$cstNode,a),{lexerErrors:e.lexerErrors,lexerReport:e.lexerReport,parserErrors:e.parserErrors,value:this.hydrateAstNode(n,a)}}createHydrationContext(e){const n=new Map,a=new Map;for(const i of TC(e))n.set(i,{});let r;if(e.$cstNode)for(const i of m6(e.$cstNode)){let A;"fullText"in i?(A=new w1e(i.fullText),r=A):"content"in i?A=new oj:"tokenType"in i&&(A=this.hydrateCstLeafNode(i)),A&&(a.set(i,A),A.root=r)}return{astNodes:n,cstNodes:a}}hydrateAstNode(e,n){const a=n.astNodes.get(e);a.$type=e.$type,a.$containerIndex=e.$containerIndex,a.$containerProperty=e.$containerProperty,e.$cstNode&&(a.$cstNode=n.cstNodes.get(e.$cstNode));for(const[r,i]of Object.entries(e))if(!r.startsWith("$"))if(Array.isArray(i)){const A=[];a[r]=A;for(const o of i)ro(o)?A.push(this.setParent(this.hydrateAstNode(o,n),a)):hd(o)?A.push(this.hydrateReference(o,a,r,n)):A.push(o)}else ro(i)?a[r]=this.setParent(this.hydrateAstNode(i,n),a):hd(i)?a[r]=this.hydrateReference(i,a,r,n):i!==void 0&&(a[r]=i);return a}setParent(e,n){return e.$container=n,e}hydrateReference(e,n,a,r){return this.linker.buildReference(n,a,r.cstNodes.get(e.$refNode),e.$refText)}hydrateCstNode(e,n,a=0){const r=n.cstNodes.get(e);if(typeof e.grammarSource=="number"&&(r.grammarSource=this.getGrammarElement(e.grammarSource)),r.astNode=n.astNodes.get(e.astNode),Bw(r))for(const i of e.content){const A=this.hydrateCstNode(i,n,a++);r.content.push(A)}return r}hydrateCstLeafNode(e){const n=this.getTokenType(e.tokenType),a=e.offset,r=e.length,i=e.startLine,A=e.startColumn,o=e.endLine,s=e.endColumn,l=e.hidden;return new z6(a,r,{start:{line:i,character:A},end:{line:o,character:s}},n,l)}getTokenType(e){return this.lexer.definition[e]}getGrammarElementId(e){if(e)return this.grammarElementIdMap.size===0&&this.createGrammarElementIdMap(),this.grammarElementIdMap.get(e)}getGrammarElement(e){return this.grammarElementIdMap.size===0&&this.createGrammarElementIdMap(),this.grammarElementIdMap.getKey(e)}createGrammarElementIdMap(){let e=0;for(const n of TC(this.grammar))Svt(n)&&this.grammarElementIdMap.set(n,e++)}}function um(t){return{documentation:{CommentProvider:e=>new ALt(e),DocumentationProvider:e=>new iLt(e)},parser:{AsyncParser:e=>new oLt(e),GrammarConfig:e=>IDt(e),LangiumParser:e=>AFt(e),CompletionParser:e=>iFt(e),ValueConverter:()=>new M1e,TokenBuilder:()=>new N1e,Lexer:e=>new HFt(e),ParserErrorMessageProvider:()=>new D1e,LexerErrorMessageProvider:()=>new PFt},workspace:{AstNodeLocator:()=>new FFt,AstNodeDescriptionProvider:e=>new NFt(e),ReferenceDescriptionProvider:e=>new MFt(e)},references:{Linker:e=>new hFt(e),NameProvider:()=>new bFt,ScopeProvider:e=>new wFt(e),ScopeComputation:e=>new EFt(e),References:e=>new CFt(e)},serializer:{Hydrator:e=>new cLt(e),JsonSerializer:e=>new vFt(e)},validation:{DocumentValidator:e=>new SFt(e),ValidationRegistry:e=>new xFt(e)},shared:()=>t.shared}}function gm(t){return{ServiceRegistry:e=>new DFt(e),workspace:{LangiumDocuments:e=>new mFt(e),LangiumDocumentFactory:e=>new pFt(e),DocumentBuilder:e=>new GFt(e),IndexManager:e=>new OFt(e),WorkspaceManager:e=>new UFt(e),FileSystemProvider:e=>t.fileSystemProvider(e),WorkspaceLock:()=>new sLt,ConfigurationProvider:e=>new TFt(e)}}}var qde;(function(t){t.merge=(e,n)=>e2(e2({},e),n)})(qde||(qde={}));function co(t,e,n,a,r,i,A,o,s){const l=[t,e,n,a,r,i,A,o,s].reduce(e2,{});return z1e(l)}const lLt=Symbol("isProxy");function z1e(t,e){const n=new Proxy({},{deleteProperty:()=>!1,set:()=>{throw new Error("Cannot set property on injected service container")},get:(a,r)=>r===lLt?!0:zde(a,r,t,e||n),getOwnPropertyDescriptor:(a,r)=>(zde(a,r,t,e||n),Object.getOwnPropertyDescriptor(a,r)),has:(a,r)=>r in t,ownKeys:()=>[...Object.getOwnPropertyNames(t)]});return n}const jde=Symbol();function zde(t,e,n,a){if(e in t){if(t[e]instanceof Error)throw new Error("Construction failure. Please make sure that your dependencies are constructable.",{cause:t[e]});if(t[e]===jde)throw new Error('Cycle detected. Please make "'+String(e)+'" lazy. Visit https://langium.org/docs/reference/configuration-services/#resolving-cyclic-dependencies');return t[e]}else if(e in n){const r=n[e];t[e]=jde;try{t[e]=typeof r=="function"?r(a):z1e(r,a)}catch(i){throw t[e]=i instanceof Error?i:void 0,i}return t[e]}else return}function e2(t,e){if(e){for(const[n,a]of Object.entries(e))if(a!==void 0){const r=t[n];r!==null&&a!==null&&typeof r=="object"&&typeof a=="object"?t[n]=e2(r,a):t[n]=a}}return t}class dLt{readFile(){throw new Error("No file system is available.")}async readDirectory(){return[]}}const pm={fileSystemProvider:()=>new dLt},uLt={Grammar:()=>{},LanguageMetaData:()=>({caseInsensitive:!1,fileExtensions:[".langium"],languageId:"langium"})},gLt={AstReflection:()=>new zDe};function pLt(){const t=co(gm(pm),gLt),e=co(um({shared:t}),uLt);return t.ServiceRegistry.register(e),e}function Lf(t){var e;const n=pLt(),a=n.serializer.JsonSerializer.deserialize(t);return n.shared.workspace.LangiumDocumentFactory.fromModel(a,cf.parse(`memory://${(e=a.name)!==null&&e!==void 0?e:"grammar"}.langium`)),a}var mLt=Object.defineProperty,cn=(t,e)=>mLt(t,"name",{value:e,configurable:!0}),Jde="Statement",l1="Architecture";function hLt(t){return Nl.isInstance(t,l1)}cn(hLt,"isArchitecture");var GD="Axis",Jy="Branch";function fLt(t){return Nl.isInstance(t,Jy)}cn(fLt,"isBranch");var OD="Checkout",UD="CherryPicking",j9="ClassDefStatement",Wy="Commit";function bLt(t){return Nl.isInstance(t,Wy)}cn(bLt,"isCommit");var z9="Curve",J9="Edge",W9="Entry",Zy="GitGraph";function CLt(t){return Nl.isInstance(t,Zy)}cn(CLt,"isGitGraph");var Z9="Group",d1="Info";function ELt(t){return Nl.isInstance(t,d1)}cn(ELt,"isInfo");var PD="Item",V9="Junction",Vy="Merge";function ILt(t){return Nl.isInstance(t,Vy)}cn(ILt,"isMerge");var X9="Option",u1="Packet";function BLt(t){return Nl.isInstance(t,u1)}cn(BLt,"isPacket");var g1="PacketBlock";function yLt(t){return 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this.yy=G||this.yy||{},this._input=R,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},"setInput"),input:v(function(){var R=this._input[0];this.yytext+=R,this.yyleng++,this.offset++,this.match+=R,this.matched+=R;var G=R.match(/(?:\r\n?|\n).*/g);return G?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),R},"input"),unput:v(function(R){var G=R.length,T=R.split(/(?:\r\n?|\n)/g);this._input=R+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-G),this.offset-=G;var L=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),T.length-1&&(this.yylineno-=T.length-1);var U=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:T?(T.length===L.length?this.yylloc.first_column:0)+L[L.length-T.length].length-T[0].length:this.yylloc.first_column-G},this.options.ranges&&(this.yylloc.range=[U[0],U[0]+this.yyleng-G]),this.yyleng=this.yytext.length,this},"unput"),more:v(function(){return this._more=!0,this},"more"),reject:v(function(){if(this.options.backtrack_lexer)this._backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+`. You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true). +`+this.showPosition(),{text:"",token:null,line:this.yylineno});return this},"reject"),less:v(function(R){this.unput(this.match.slice(R))},"less"),pastInput:v(function(){var R=this.matched.substr(0,this.matched.length-this.match.length);return(R.length>20?"...":"")+R.substr(-20).replace(/\n/g,"")},"pastInput"),upcomingInput:v(function(){var R=this.match;return R.length<20&&(R+=this._input.substr(0,20-R.length)),(R.substr(0,20)+(R.length>20?"...":"")).replace(/\n/g,"")},"upcomingInput"),showPosition:v(function(){var R=this.pastInput(),G=new Array(R.length+1).join("-");return R+this.upcomingInput()+` +`+G+"^"},"showPosition"),test_match:v(function(R,G){var T,L,U;if(this.options.backtrack_lexer&&(U={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(U.yylloc.range=this.yylloc.range.slice(0))),L=R[0].match(/(?:\r\n?|\n).*/g),L&&(this.yylineno+=L.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:L?L[L.length-1].length-L[L.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+R[0].length},this.yytext+=R[0],this.match+=R[0],this.matches=R,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(R[0].length),this.matched+=R[0],T=this.performAction.call(this,this.yy,this,G,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),T)return T;if(this._backtrack){for(var H in U)this[H]=U[H];return!1}return!1},"test_match"),next:v(function(){if(this.done)return this.EOF;this._input||(this.done=!0);var R,G,T,L;this._more||(this.yytext="",this.match="");for(var U=this._currentRules(),H=0;HG[0].length)){if(G=T,L=H,this.options.backtrack_lexer){if(R=this.test_match(T,U[H]),R!==!1)return R;if(this._backtrack){G=!1;continue}else return!1}else if(!this.options.flex)break}return G?(R=this.test_match(G,U[L]),R!==!1?R:!1):this._input===""?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+`. Unrecognized text. +`+this.showPosition(),{text:"",token:null,line:this.yylineno})},"next"),lex:v(function(){var G=this.next();return G||this.lex()},"lex"),begin:v(function(G){this.conditionStack.push(G)},"begin"),popState:v(function(){var G=this.conditionStack.length-1;return G>0?this.conditionStack.pop():this.conditionStack[0]},"popState"),_currentRules:v(function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},"_currentRules"),topState:v(function(G){return G=this.conditionStack.length-1-Math.abs(G||0),G>=0?this.conditionStack[G]:"INITIAL"},"topState"),pushState:v(function(G){this.begin(G)},"pushState"),stateStackSize:v(function(){return this.conditionStack.length},"stateStackSize"),options:{"case-insensitive":!0},performAction:v(function(G,T,L,U){switch(L){case 0:return this.begin("open_directive"),"open_directive";case 1:return this.begin("acc_title"),31;case 2:return this.popState(),"acc_title_value";case 3:return this.begin("acc_descr"),33;case 4:return this.popState(),"acc_descr_value";case 5:this.begin("acc_descr_multiline");break;case 6:this.popState();break;case 7:return"acc_descr_multiline_value";case 8:break;case 9:break;case 10:break;case 11:return 10;case 12:break;case 13:break;case 14:this.begin("href");break;case 15:this.popState();break;case 16:return 43;case 17:this.begin("callbackname");break;case 18:this.popState();break;case 19:this.popState(),this.begin("callbackargs");break;case 20:return 41;case 21:this.popState();break;case 22:return 42;case 23:this.begin("click");break;case 24:this.popState();break;case 25:return 40;case 26:return 4;case 27:return 22;case 28:return 23;case 29:return 24;case 30:return 25;case 31:return 26;case 32:return 28;case 33:return 27;case 34:return 29;case 35:return 12;case 36:return 13;case 37:return 14;case 38:return 15;case 39:return 16;case 40:return 17;case 41:return 18;case 42:return 20;case 43:return 21;case 44:return"date";case 45:return 30;case 46:return"accDescription";case 47:return 36;case 48:return 38;case 49:return 39;case 50:return":";case 51:return 6;case 52:return"INVALID"}},"anonymous"),rules:[/^(?:%%\{)/i,/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?:%%(?!\{)*[^\n]*)/i,/^(?:[^\}]%%*[^\n]*)/i,/^(?:%%*[^\n]*[\n]*)/i,/^(?:[\n]+)/i,/^(?:\s+)/i,/^(?:%[^\n]*)/i,/^(?:href[\s]+["])/i,/^(?:["])/i,/^(?:[^"]*)/i,/^(?:call[\s]+)/i,/^(?:\([\s]*\))/i,/^(?:\()/i,/^(?:[^(]*)/i,/^(?:\))/i,/^(?:[^)]*)/i,/^(?:click[\s]+)/i,/^(?:[\s\n])/i,/^(?:[^\s\n]*)/i,/^(?:gantt\b)/i,/^(?:dateFormat\s[^#\n;]+)/i,/^(?:inclusiveEndDates\b)/i,/^(?:topAxis\b)/i,/^(?:axisFormat\s[^#\n;]+)/i,/^(?:tickInterval\s[^#\n;]+)/i,/^(?:includes\s[^#\n;]+)/i,/^(?:excludes\s[^#\n;]+)/i,/^(?:todayMarker\s[^\n;]+)/i,/^(?:weekday\s+monday\b)/i,/^(?:weekday\s+tuesday\b)/i,/^(?:weekday\s+wednesday\b)/i,/^(?:weekday\s+thursday\b)/i,/^(?:weekday\s+friday\b)/i,/^(?:weekday\s+saturday\b)/i,/^(?:weekday\s+sunday\b)/i,/^(?:weekend\s+friday\b)/i,/^(?:weekend\s+saturday\b)/i,/^(?:\d\d\d\d-\d\d-\d\d\b)/i,/^(?:title\s[^\n]+)/i,/^(?:accDescription\s[^#\n;]+)/i,/^(?:section\s[^\n]+)/i,/^(?:[^:\n]+)/i,/^(?::[^#\n;]+)/i,/^(?::)/i,/^(?:$)/i,/^(?:.)/i],conditions:{acc_descr_multiline:{rules:[6,7],inclusive:!1},acc_descr:{rules:[4],inclusive:!1},acc_title:{rules:[2],inclusive:!1},callbackargs:{rules:[21,22],inclusive:!1},callbackname:{rules:[18,19,20],inclusive:!1},href:{rules:[15,16],inclusive:!1},click:{rules:[24,25],inclusive:!1},INITIAL:{rules:[0,1,3,5,8,9,10,11,12,13,14,17,23,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52],inclusive:!0}}};return K})();F.lexer=M;function O(){this.yy={}}return v(O,"Parser"),O.prototype=F,F.Parser=O,new O})();tK.parser=tK;var y3t=tK;IA.extend(l3t);IA.extend(p3t);IA.extend(b3t);var oue={friday:5,saturday:6},fd="",uj="",gj=void 0,pj="",R0=[],N0=[],mj=new Map,hj=[],a2=[],DE="",fj="",hSe=["active","done","crit","milestone","vert"],bj=[],M0=!1,Cj=!1,Ej="sunday",r2="saturday",nK=0,Q3t=v(function(){hj=[],a2=[],DE="",bj=[],I1=0,rK=void 0,B1=void 0,$i=[],fd="",uj="",fj="",gj=void 0,pj="",R0=[],N0=[],M0=!1,Cj=!1,nK=0,mj=new Map,ji(),Ej="sunday",r2="saturday"},"clear"),w3t=v(function(t){uj=t},"setAxisFormat"),k3t=v(function(){return uj},"getAxisFormat"),v3t=v(function(t){gj=t},"setTickInterval"),D3t=v(function(){return gj},"getTickInterval"),x3t=v(function(t){pj=t},"setTodayMarker"),S3t=v(function(){return pj},"getTodayMarker"),_3t=v(function(t){fd=t},"setDateFormat"),R3t=v(function(){M0=!0},"enableInclusiveEndDates"),N3t=v(function(){return M0},"endDatesAreInclusive"),M3t=v(function(){Cj=!0},"enableTopAxis"),F3t=v(function(){return Cj},"topAxisEnabled"),L3t=v(function(t){fj=t},"setDisplayMode"),T3t=v(function(){return fj},"getDisplayMode"),G3t=v(function(){return fd},"getDateFormat"),O3t=v(function(t){R0=t.toLowerCase().split(/[\s,]+/)},"setIncludes"),U3t=v(function(){return R0},"getIncludes"),P3t=v(function(t){N0=t.toLowerCase().split(/[\s,]+/)},"setExcludes"),K3t=v(function(){return N0},"getExcludes"),H3t=v(function(){return mj},"getLinks"),Y3t=v(function(t){DE=t,hj.push(t)},"addSection"),q3t=v(function(){return hj},"getSections"),j3t=v(function(){let t=sue();const e=10;let n=0;for(;!t&&n{const s=o.trim();return s==="x"||s==="X"},"isTimestampFormat")(e)&&/^\d+$/.test(n))return new Date(Number(n));const i=/^after\s+(?[\d\w- ]+)/.exec(n);if(i!==null){let o=null;for(const l of i.groups.ids.split(" ")){let d=Of(l);d!==void 0&&(!o||d.endTime>o.endTime)&&(o=d)}if(o)return o.endTime;const s=new Date;return s.setHours(0,0,0,0),s}let A=IA(n,e.trim(),!0);if(A.isValid())return A.toDate();{Be.debug("Invalid date:"+n),Be.debug("With date format:"+e.trim());const o=new Date(n);if(o===void 0||isNaN(o.getTime())||o.getFullYear()<-1e4||o.getFullYear()>1e4)throw new Error("Invalid date:"+n);return o}},"getStartDate"),CSe=v(function(t){const e=/^(\d+(?:\.\d+)?)([Mdhmswy]|ms)$/.exec(t.trim());return e!==null?[Number.parseFloat(e[1]),e[2]]:[NaN,"ms"]},"parseDuration"),ESe=v(function(t,e,n,a=!1){n=n.trim();const i=/^until\s+(?[\d\w- ]+)/.exec(n);if(i!==null){let d=null;for(const g of i.groups.ids.split(" ")){let p=Of(g);p!==void 0&&(!d||p.startTime{window.open(n,"_self")}),mj.set(a,n))}),BSe(t,"clickable")},"setLink"),BSe=v(function(t,e){t.split(",").forEach(function(n){let a=Of(n);a!==void 0&&a.classes.push(e)})},"setClass"),nGt=v(function(t,e,n){if(Xe().securityLevel!=="loose"||e===void 0)return;let a=[];if(typeof n=="string"){a=n.split(/,(?=(?:(?:[^"]*"){2})*[^"]*$)/);for(let i=0;i{sa.runFunc(e,...a)})},"setClickFun"),ySe=v(function(t,e){bj.push(function(){const n=document.querySelector(`[id="${t}"]`);n!==null&&n.addEventListener("click",function(){e()})},function(){const n=document.querySelector(`[id="${t}-text"]`);n!==null&&n.addEventListener("click",function(){e()})})},"pushFun"),aGt=v(function(t,e,n){t.split(",").forEach(function(a){nGt(a,e,n)}),BSe(t,"clickable")},"setClickEvent"),rGt=v(function(t){bj.forEach(function(e){e(t)})},"bindFunctions"),iGt={getConfig:v(()=>Xe().gantt,"getConfig"),clear:Q3t,setDateFormat:_3t,getDateFormat:G3t,enableInclusiveEndDates:R3t,endDatesAreInclusive:N3t,enableTopAxis:M3t,topAxisEnabled:F3t,setAxisFormat:w3t,getAxisFormat:k3t,setTickInterval:v3t,getTickInterval:D3t,setTodayMarker:x3t,getTodayMarker:S3t,setAccTitle:Yi,getAccTitle:cA,setDiagramTitle:QA,getDiagramTitle:zi,setDisplayMode:L3t,getDisplayMode:T3t,setAccDescription:lA,getAccDescription:dA,addSection:Y3t,getSections:q3t,getTasks:j3t,addTask:$3t,findTaskById:Of,addTaskOrg:eGt,setIncludes:O3t,getIncludes:U3t,setExcludes:P3t,getExcludes:K3t,setClickEvent:aGt,setLink:tGt,getLinks:H3t,bindFunctions:rGt,parseDuration:CSe,isInvalidDate:fSe,setWeekday:z3t,getWeekday:J3t,setWeekend:W3t};function Ij(t,e,n){let a=!0;for(;a;)a=!1,n.forEach(function(r){const i="^\\s*"+r+"\\s*$",A=new RegExp(i);t[0].match(A)&&(e[r]=!0,t.shift(1),a=!0)})}v(Ij,"getTaskTags");IA.extend(B3t);var AGt=v(function(){Be.debug("Something is calling, setConf, remove the call")},"setConf"),cue={monday:NQ,tuesday:Ome,wednesday:Ume,thursday:Uh,friday:Pme,saturday:Kme,sunday:Hw},oGt=v((t,e)=>{let n=[...t].map(()=>-1/0),a=[...t].sort((i,A)=>i.startTime-A.startTime||i.order-A.order),r=0;for(const i of a)for(let A=0;A=n[A]){n[A]=i.endTime,i.order=A+e,A>r&&(r=A);break}return r},"getMaxIntersections"),gu,nU=1e4,sGt=v(function(t,e,n,a){const r=Xe().gantt,i=Xe().securityLevel;let A;i==="sandbox"&&(A=Jt("#i"+e));const o=Jt(i==="sandbox"?A.nodes()[0].contentDocument.body:"body"),s=i==="sandbox"?A.nodes()[0].contentDocument:document,l=s.getElementById(e);gu=l.parentElement.offsetWidth,gu===void 0&&(gu=1200),r.useWidth!==void 0&&(gu=r.useWidth);const d=a.db.getTasks();let u=[];for(const S of d)u.push(S.type);u=x(u);const g={};let p=2*r.topPadding;if(a.db.getDisplayMode()==="compact"||r.displayMode==="compact"){const S={};for(const M of d)S[M.section]===void 0?S[M.section]=[M]:S[M.section].push(M);let F=0;for(const M of Object.keys(S)){const O=oGt(S[M],F)+1;F+=O,p+=O*(r.barHeight+r.barGap),g[M]=O}}else{p+=d.length*(r.barHeight+r.barGap);for(const S of u)g[S]=d.filter(F=>F.type===S).length}l.setAttribute("viewBox","0 0 "+gu+" "+p);const m=o.select(`[id="${e}"]`),f=OHe().domain([jUe(d,function(S){return S.startTime}),qUe(d,function(S){return S.endTime})]).rangeRound([0,gu-r.leftPadding-r.rightPadding]);function b(S,F){const M=S.startTime,O=F.startTime;let K=0;return M>O?K=1:MP.vert===j.vert?0:P.vert?1:-1);const L=[...new Set(S.map(P=>P.order))].map(P=>S.find(j=>j.order===P));m.append("g").selectAll("rect").data(L).enter().append("rect").attr("x",0).attr("y",function(P,j){return j=P.order,j*F+M-2}).attr("width",function(){return G-r.rightPadding/2}).attr("height",F).attr("class",function(P){for(const[j,Z]of u.entries())if(P.type===Z)return"section section"+j%r.numberSectionStyles;return"section section0"}).enter();const U=m.append("g").selectAll("rect").data(S).enter(),H=a.db.getLinks();if(U.append("rect").attr("id",function(P){return P.id}).attr("rx",3).attr("ry",3).attr("x",function(P){return P.milestone?f(P.startTime)+O+.5*(f(P.endTime)-f(P.startTime))-.5*K:f(P.startTime)+O}).attr("y",function(P,j){return j=P.order,P.vert?r.gridLineStartPadding:j*F+M}).attr("width",function(P){return P.milestone?K:P.vert?.08*K:f(P.renderEndTime||P.endTime)-f(P.startTime)}).attr("height",function(P){return P.vert?d.length*(r.barHeight+r.barGap)+r.barHeight*2:K}).attr("transform-origin",function(P,j){return j=P.order,(f(P.startTime)+O+.5*(f(P.endTime)-f(P.startTime))).toString()+"px "+(j*F+M+.5*K).toString()+"px"}).attr("class",function(P){const j="task";let Z="";P.classes.length>0&&(Z=P.classes.join(" "));let $=0;for(const[ce,te]of u.entries())P.type===te&&($=ce%r.numberSectionStyles);let X="";return P.active?P.crit?X+=" activeCrit":X=" active":P.done?P.crit?X=" doneCrit":X=" done":P.crit&&(X+=" crit"),X.length===0&&(X=" task"),P.milestone&&(X=" milestone "+X),P.vert&&(X=" vert "+X),X+=$,X+=" "+Z,j+X}),U.append("text").attr("id",function(P){return P.id+"-text"}).text(function(P){return P.task}).attr("font-size",r.fontSize).attr("x",function(P){let j=f(P.startTime),Z=f(P.renderEndTime||P.endTime);if(P.milestone&&(j+=.5*(f(P.endTime)-f(P.startTime))-.5*K,Z=j+K),P.vert)return f(P.startTime)+O;const $=this.getBBox().width;return $>Z-j?Z+$+1.5*r.leftPadding>G?j+O-5:Z+O+5:(Z-j)/2+j+O}).attr("y",function(P,j){return P.vert?r.gridLineStartPadding+d.length*(r.barHeight+r.barGap)+60:(j=P.order,j*F+r.barHeight/2+(r.fontSize/2-2)+M)}).attr("text-height",K).attr("class",function(P){const j=f(P.startTime);let Z=f(P.endTime);P.milestone&&(Z=j+K);const $=this.getBBox().width;let X="";P.classes.length>0&&(X=P.classes.join(" "));let ce=0;for(const[he,ae]of u.entries())P.type===ae&&(ce=he%r.numberSectionStyles);let te="";return P.active&&(P.crit?te="activeCritText"+ce:te="activeText"+ce),P.done?P.crit?te=te+" doneCritText"+ce:te=te+" doneText"+ce:P.crit&&(te=te+" critText"+ce),P.milestone&&(te+=" milestoneText"),P.vert&&(te+=" vertText"),$>Z-j?Z+$+1.5*r.leftPadding>G?X+" taskTextOutsideLeft taskTextOutside"+ce+" "+te:X+" taskTextOutsideRight taskTextOutside"+ce+" "+te+" width-"+$:X+" taskText taskText"+ce+" "+te+" width-"+$}),Xe().securityLevel==="sandbox"){let P;P=Jt("#i"+e);const j=P.nodes()[0].contentDocument;U.filter(function(Z){return H.has(Z.id)}).each(function(Z){var $=j.querySelector("#"+Z.id),X=j.querySelector("#"+Z.id+"-text");const ce=$.parentNode;var te=j.createElement("a");te.setAttribute("xlink:href",H.get(Z.id)),te.setAttribute("target","_top"),ce.appendChild(te),te.appendChild($),te.appendChild(X)})}}v(I,"drawRects");function 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69:this.$=Ue[xe-1]+""+Ue[xe];break}},"anonymous"),table:[{18:e,26:1,27:2,28:n,55:a,56:r,57:i},{1:[3]},{18:e,26:8,27:2,28:n,55:a,56:r,57:i},{18:e,26:9,27:2,28:n,55:a,56:r,57:i},t(A,[2,33],{29:10}),t(o,[2,61]),t(o,[2,62]),t(o,[2,63]),{1:[2,30]},{1:[2,31]},t(s,l,{30:11,31:12,24:13,32:15,33:16,34:17,43:30,58:31,1:[2,32],4:d,5:u,10:g,12:p,13:m,14:f,18:b,25:C,35:I,37:B,39:w,41:k,42:_,48:D,50:x,51:S,52:F,53:M,54:O,60:K,61:R,63:G,64:T,65:L,66:U,67:H}),t(A,[2,34]),{27:45,55:a,56:r,57:i},t(s,[2,37]),t(s,l,{24:13,32:15,33:16,34:17,43:30,58:31,31:46,4:d,5:u,10:g,12:p,13:m,14:f,18:b,25:C,35:I,37:B,39:w,41:k,42:_,48:D,50:x,51:S,52:F,53:M,54:O,60:K,61:R,63:G,64:T,65:L,66:U,67:H}),t(s,[2,39]),t(s,[2,40]),t(s,[2,41]),{36:[1,47]},{38:[1,48]},{40:[1,49]},t(s,[2,45]),t(s,[2,46]),{18:[1,50]},{4:d,5:u,10:g,12:p,13:m,14:f,43:51,58:31,60:K,61:R,63:G,64:T,65:L,66:U,67:H},{4:d,5:u,10:g,12:p,13:m,14:f,43:52,58:31,60:K,61:R,63:G,64:T,65:L,66:U,67:H},{4:d,5:u,10:g,12:p,13:m,14:f,43:53,58:31,60:K,61:R,63:G,64:T,65:L,66:U,67:H},{4:d,5:u,10:g,12:p,13:m,14:f,43:54,58:31,60:K,61:R,63:G,64:T,65:L,66:U,67:H},{4:d,5:u,10:g,12:p,13:m,14:f,43:55,58:31,60:K,61:R,63:G,64:T,65:L,66:U,67:H},{4:d,5:u,10:g,12:p,13:m,14:f,43:56,58:31,60:K,61:R,63:G,64:T,65:L,66:U,67:H},{4:d,5:u,8:q,10:g,12:p,13:m,14:f,18:P,44:[1,57],47:[1,58],58:60,59:59,63:G,64:T,65:L,66:U,67:H},t(j,[2,64]),t(j,[2,66]),t(j,[2,67]),t(j,[2,70]),t(j,[2,71]),t(j,[2,72]),t(j,[2,73]),t(j,[2,74]),t(j,[2,75]),t(j,[2,76]),t(j,[2,77]),t(j,[2,78]),t(j,[2,79]),t(j,[2,80]),t(A,[2,35]),t(s,[2,38]),t(s,[2,42]),t(s,[2,43]),t(s,[2,44]),{3:64,4:Z,5:$,6:X,7:ce,8:te,9:he,10:ae,11:se,12:oe,13:Ae,14:pe,15:le,21:63},t(s,[2,53],{59:59,58:60,4:d,5:u,8:q,10:g,12:p,13:m,14:f,18:P,49:[1,77],63:G,64:T,65:L,66:U,67:H}),t(s,[2,56],{59:59,58:60,4:d,5:u,8:q,10:g,12:p,13:m,14:f,18:P,49:[1,78],63:G,64:T,65:L,66:U,67:H}),t(s,[2,57],{59:59,58:60,4:d,5:u,8:q,10:g,12:p,13:m,14:f,18:P,63:G,64:T,65:L,66:U,67:H}),t(s,[2,58],{59:59,58:60,4:d,5:u,8:q,10:g,12:p,13:m,14:f,18:P,63:G,64:T,65:L,66:U,67:H}),t(s,[2,59],{59:59,58:60,4:d,5:u,8:q,10:g,12:p,13:m,14:f,18:P,63:G,64:T,65:L,66:U,67:H}),t(s,[2,60],{59:59,58:60,4:d,5:u,8:q,10:g,12:p,13:m,14:f,18:P,63:G,64:T,65:L,66:U,67:H}),{45:[1,79]},{44:[1,80]},t(j,[2,65]),t(j,[2,81]),t(j,[2,82]),t(j,[2,83]),{3:82,4:Z,5:$,6:X,7:ce,8:te,9:he,10:ae,11:se,12:oe,13:Ae,14:pe,15:le,18:[1,81]},t(ke,[2,23]),t(ke,[2,1]),t(ke,[2,2]),t(ke,[2,3]),t(ke,[2,4]),t(ke,[2,5]),t(ke,[2,6]),t(ke,[2,7]),t(ke,[2,8]),t(ke,[2,9]),t(ke,[2,10]),t(ke,[2,11]),t(ke,[2,12]),t(s,[2,52],{58:31,43:83,4:d,5:u,10:g,12:p,13:m,14:f,60:K,61:R,63:G,64:T,65:L,66:U,67:H}),t(s,[2,55],{58:31,43:84,4:d,5:u,10:g,12:p,13:m,14:f,60:K,61:R,63:G,64:T,65:L,66:U,67:H}),{46:[1,85]},{45:[1,86]},{4:me,5:He,6:ie,8:Ze,11:ve,13:at,16:89,17:rt,18:ct,19:Oe,20:st,22:88,23:87},t(ke,[2,24]),t(s,[2,51],{59:59,58:60,4:d,5:u,8:q,10:g,12:p,13:m,14:f,18:P,63:G,64:T,65:L,66:U,67:H}),t(s,[2,54],{59:59,58:60,4:d,5:u,8:q,10:g,12:p,13:m,14:f,18:P,63:G,64:T,65:L,66:U,67:H}),t(s,[2,47],{22:88,16:89,23:100,4:me,5:He,6:ie,8:Ze,11:ve,13:at,17:rt,18:ct,19:Oe,20:st}),{46:[1,101]},t(s,[2,29],{10:qe}),t(ze,[2,27],{16:103,4:me,5:He,6:ie,8:Ze,11:ve,13:at,17:rt,18:ct,19:Oe,20:st}),t(At,[2,25]),t(At,[2,13]),t(At,[2,14]),t(At,[2,15]),t(At,[2,16]),t(At,[2,17]),t(At,[2,18]),t(At,[2,19]),t(At,[2,20]),t(At,[2,21]),t(At,[2,22]),t(s,[2,49],{10:qe}),t(s,[2,48],{22:88,16:89,23:104,4:me,5:He,6:ie,8:Ze,11:ve,13:at,17:rt,18:ct,19:Oe,20:st}),{4:me,5:He,6:ie,8:Ze,11:ve,13:at,16:89,17:rt,18:ct,19:Oe,20:st,22:105},t(At,[2,26]),t(s,[2,50],{10:qe}),t(ze,[2,28],{16:103,4:me,5:He,6:ie,8:Ze,11:ve,13:at,17:rt,18:ct,19:Oe,20:st})],defaultActions:{8:[2,30],9:[2,31]},parseError:v(function(V,ye){if(ye.recoverable)this.trace(V);else{var Ce=new Error(V);throw Ce.hash=ye,Ce}},"parseError"),parse:v(function(V){var ye=this,Ce=[0],Ne=[],Me=[null],Ue=[],Ee=this.table,xe="",We=0,nt=0,ht=2,Qe=1,Ye=Ue.slice.call(arguments,1),Ge=Object.create(this.lexer),ot={yy:{}};for(var Ft in this.yy)Object.prototype.hasOwnProperty.call(this.yy,Ft)&&(ot.yy[Ft]=this.yy[Ft]);Ge.setInput(V,ot.yy),ot.yy.lexer=Ge,ot.yy.parser=this,typeof Ge.yylloc>"u"&&(Ge.yylloc={});var Nt=Ge.yylloc;Ue.push(Nt);var re=Ge.options&&Ge.options.ranges;typeof ot.yy.parseError=="function"?this.parseError=ot.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;function pt(hn){Ce.length=Ce.length-2*hn,Me.length=Me.length-hn,Ue.length=Ue.length-hn}v(pt,"popStack");function dt(){var hn;return hn=Ne.pop()||Ge.lex()||Qe,typeof hn!="number"&&(hn instanceof Array&&(Ne=hn,hn=Ne.pop()),hn=ye.symbols_[hn]||hn),hn}v(dt,"lex");for(var _t,St,Ot,gt,ft={},Vt,Yt,rn,Fn;;){if(St=Ce[Ce.length-1],this.defaultActions[St]?Ot=this.defaultActions[St]:((_t===null||typeof _t>"u")&&(_t=dt()),Ot=Ee[St]&&Ee[St][_t]),typeof Ot>"u"||!Ot.length||!Ot[0]){var vn="";Fn=[];for(Vt in Ee[St])this.terminals_[Vt]&&Vt>ht&&Fn.push("'"+this.terminals_[Vt]+"'");Ge.showPosition?vn="Parse error on line "+(We+1)+`: +`+Ge.showPosition()+` +Expecting `+Fn.join(", ")+", got '"+(this.terminals_[_t]||_t)+"'":vn="Parse error on line "+(We+1)+": Unexpected "+(_t==Qe?"end of input":"'"+(this.terminals_[_t]||_t)+"'"),this.parseError(vn,{text:Ge.match,token:this.terminals_[_t]||_t,line:Ge.yylineno,loc:Nt,expected:Fn})}if(Ot[0]instanceof Array&&Ot.length>1)throw new Error("Parse Error: multiple actions possible at state: "+St+", token: "+_t);switch(Ot[0]){case 1:Ce.push(_t),Me.push(Ge.yytext),Ue.push(Ge.yylloc),Ce.push(Ot[1]),_t=null,nt=Ge.yyleng,xe=Ge.yytext,We=Ge.yylineno,Nt=Ge.yylloc;break;case 2:if(Yt=this.productions_[Ot[1]][1],ft.$=Me[Me.length-Yt],ft._$={first_line:Ue[Ue.length-(Yt||1)].first_line,last_line:Ue[Ue.length-1].last_line,first_column:Ue[Ue.length-(Yt||1)].first_column,last_column:Ue[Ue.length-1].last_column},re&&(ft._$.range=[Ue[Ue.length-(Yt||1)].range[0],Ue[Ue.length-1].range[1]]),gt=this.performAction.apply(ft,[xe,nt,We,ot.yy,Ot[1],Me,Ue].concat(Ye)),typeof gt<"u")return gt;Yt&&(Ce=Ce.slice(0,-1*Yt*2),Me=Me.slice(0,-1*Yt),Ue=Ue.slice(0,-1*Yt)),Ce.push(this.productions_[Ot[1]][0]),Me.push(ft.$),Ue.push(ft._$),rn=Ee[Ce[Ce.length-2]][Ce[Ce.length-1]],Ce.push(rn);break;case 3:return!0}}return!0},"parse")},et=(function(){var De={EOF:1,parseError:v(function(ye,Ce){if(this.yy.parser)this.yy.parser.parseError(ye,Ce);else throw new Error(ye)},"parseError"),setInput:v(function(V,ye){return this.yy=ye||this.yy||{},this._input=V,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},"setInput"),input:v(function(){var V=this._input[0];this.yytext+=V,this.yyleng++,this.offset++,this.match+=V,this.matched+=V;var ye=V.match(/(?:\r\n?|\n).*/g);return ye?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),V},"input"),unput:v(function(V){var ye=V.length,Ce=V.split(/(?:\r\n?|\n)/g);this._input=V+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-ye),this.offset-=ye;var Ne=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),Ce.length-1&&(this.yylineno-=Ce.length-1);var Me=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:Ce?(Ce.length===Ne.length?this.yylloc.first_column:0)+Ne[Ne.length-Ce.length].length-Ce[0].length:this.yylloc.first_column-ye},this.options.ranges&&(this.yylloc.range=[Me[0],Me[0]+this.yyleng-ye]),this.yyleng=this.yytext.length,this},"unput"),more:v(function(){return this._more=!0,this},"more"),reject:v(function(){if(this.options.backtrack_lexer)this._backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+`. You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true). +`+this.showPosition(),{text:"",token:null,line:this.yylineno});return this},"reject"),less:v(function(V){this.unput(this.match.slice(V))},"less"),pastInput:v(function(){var V=this.matched.substr(0,this.matched.length-this.match.length);return(V.length>20?"...":"")+V.substr(-20).replace(/\n/g,"")},"pastInput"),upcomingInput:v(function(){var V=this.match;return V.length<20&&(V+=this._input.substr(0,20-V.length)),(V.substr(0,20)+(V.length>20?"...":"")).replace(/\n/g,"")},"upcomingInput"),showPosition:v(function(){var V=this.pastInput(),ye=new Array(V.length+1).join("-");return V+this.upcomingInput()+` +`+ye+"^"},"showPosition"),test_match:v(function(V,ye){var Ce,Ne,Me;if(this.options.backtrack_lexer&&(Me={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(Me.yylloc.range=this.yylloc.range.slice(0))),Ne=V[0].match(/(?:\r\n?|\n).*/g),Ne&&(this.yylineno+=Ne.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:Ne?Ne[Ne.length-1].length-Ne[Ne.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+V[0].length},this.yytext+=V[0],this.match+=V[0],this.matches=V,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(V[0].length),this.matched+=V[0],Ce=this.performAction.call(this,this.yy,this,ye,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),Ce)return Ce;if(this._backtrack){for(var Ue in Me)this[Ue]=Me[Ue];return!1}return!1},"test_match"),next:v(function(){if(this.done)return this.EOF;this._input||(this.done=!0);var V,ye,Ce,Ne;this._more||(this.yytext="",this.match="");for(var Me=this._currentRules(),Ue=0;Ueye[0].length)){if(ye=Ce,Ne=Ue,this.options.backtrack_lexer){if(V=this.test_match(Ce,Me[Ue]),V!==!1)return V;if(this._backtrack){ye=!1;continue}else return!1}else if(!this.options.flex)break}return ye?(V=this.test_match(ye,Me[Ne]),V!==!1?V:!1):this._input===""?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+`. Unrecognized text. +`+this.showPosition(),{text:"",token:null,line:this.yylineno})},"next"),lex:v(function(){var ye=this.next();return ye||this.lex()},"lex"),begin:v(function(ye){this.conditionStack.push(ye)},"begin"),popState:v(function(){var ye=this.conditionStack.length-1;return ye>0?this.conditionStack.pop():this.conditionStack[0]},"popState"),_currentRules:v(function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},"_currentRules"),topState:v(function(ye){return ye=this.conditionStack.length-1-Math.abs(ye||0),ye>=0?this.conditionStack[ye]:"INITIAL"},"topState"),pushState:v(function(ye){this.begin(ye)},"pushState"),stateStackSize:v(function(){return this.conditionStack.length},"stateStackSize"),options:{"case-insensitive":!0},performAction:v(function(ye,Ce,Ne,Me){switch(Ne){case 0:break;case 1:break;case 2:return 55;case 3:break;case 4:return this.begin("title"),35;case 5:return this.popState(),"title_value";case 6:return this.begin("acc_title"),37;case 7:return this.popState(),"acc_title_value";case 8:return this.begin("acc_descr"),39;case 9:return this.popState(),"acc_descr_value";case 10:this.begin("acc_descr_multiline");break;case 11:this.popState();break;case 12:return"acc_descr_multiline_value";case 13:return 48;case 14:return 50;case 15:return 49;case 16:return 51;case 17:return 52;case 18:return 53;case 19:return 54;case 20:return 25;case 21:this.begin("md_string");break;case 22:return"MD_STR";case 23:this.popState();break;case 24:this.begin("string");break;case 25:this.popState();break;case 26:return"STR";case 27:this.begin("class_name");break;case 28:return this.popState(),47;case 29:return this.begin("point_start"),44;case 30:return this.begin("point_x"),45;case 31:this.popState();break;case 32:this.popState(),this.begin("point_y");break;case 33:return this.popState(),46;case 34:return 28;case 35:return 4;case 36:return 11;case 37:return 64;case 38:return 10;case 39:return 65;case 40:return 65;case 41:return 14;case 42:return 13;case 43:return 67;case 44:return 66;case 45:return 12;case 46:return 8;case 47:return 5;case 48:return 18;case 49:return 56;case 50:return 63;case 51:return 57}},"anonymous"),rules:[/^(?:%%(?!\{)[^\n]*)/i,/^(?:[^\}]%%[^\n]*)/i,/^(?:[\n\r]+)/i,/^(?:%%[^\n]*)/i,/^(?:title\b)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?: *x-axis *)/i,/^(?: *y-axis *)/i,/^(?: *--+> *)/i,/^(?: *quadrant-1 *)/i,/^(?: *quadrant-2 *)/i,/^(?: *quadrant-3 *)/i,/^(?: *quadrant-4 *)/i,/^(?:classDef\b)/i,/^(?:["][`])/i,/^(?:[^`"]+)/i,/^(?:[`]["])/i,/^(?:["])/i,/^(?:["])/i,/^(?:[^"]*)/i,/^(?::::)/i,/^(?:^\w+)/i,/^(?:\s*:\s*\[\s*)/i,/^(?:(1)|(0(.\d+)?))/i,/^(?:\s*\] *)/i,/^(?:\s*,\s*)/i,/^(?:(1)|(0(.\d+)?))/i,/^(?: *quadrantChart *)/i,/^(?:[A-Za-z]+)/i,/^(?::)/i,/^(?:\+)/i,/^(?:,)/i,/^(?:=)/i,/^(?:=)/i,/^(?:\*)/i,/^(?:#)/i,/^(?:[\_])/i,/^(?:\.)/i,/^(?:&)/i,/^(?:-)/i,/^(?:[0-9]+)/i,/^(?:\s)/i,/^(?:;)/i,/^(?:[!"#$%&'*+,-.`?\\_/])/i,/^(?:$)/i],conditions:{class_name:{rules:[28],inclusive:!1},point_y:{rules:[33],inclusive:!1},point_x:{rules:[32],inclusive:!1},point_start:{rules:[30,31],inclusive:!1},acc_descr_multiline:{rules:[11,12],inclusive:!1},acc_descr:{rules:[9],inclusive:!1},acc_title:{rules:[7],inclusive:!1},title:{rules:[5],inclusive:!1},md_string:{rules:[22,23],inclusive:!1},string:{rules:[25,26],inclusive:!1},INITIAL:{rules:[0,1,2,3,4,6,8,10,13,14,15,16,17,18,19,20,21,24,27,29,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51],inclusive:!0}}};return De})();_e.lexer=et;function fe(){this.yy={}}return v(fe,"Parser"),fe.prototype=_e,_e.Parser=fe,new fe})();iK.parser=iK;var OGt=iK,Co=y2(),UGt=class{constructor(){this.classes=new Map,this.config=this.getDefaultConfig(),this.themeConfig=this.getDefaultThemeConfig(),this.data=this.getDefaultData()}static{v(this,"QuadrantBuilder")}getDefaultData(){return{titleText:"",quadrant1Text:"",quadrant2Text:"",quadrant3Text:"",quadrant4Text:"",xAxisLeftText:"",xAxisRightText:"",yAxisBottomText:"",yAxisTopText:"",points:[]}}getDefaultConfig(){return{showXAxis:!0,showYAxis:!0,showTitle:!0,chartHeight:Fa.quadrantChart?.chartWidth||500,chartWidth:Fa.quadrantChart?.chartHeight||500,titlePadding:Fa.quadrantChart?.titlePadding||10,titleFontSize:Fa.quadrantChart?.titleFontSize||20,quadrantPadding:Fa.quadrantChart?.quadrantPadding||5,xAxisLabelPadding:Fa.quadrantChart?.xAxisLabelPadding||5,yAxisLabelPadding:Fa.quadrantChart?.yAxisLabelPadding||5,xAxisLabelFontSize:Fa.quadrantChart?.xAxisLabelFontSize||16,yAxisLabelFontSize:Fa.quadrantChart?.yAxisLabelFontSize||16,quadrantLabelFontSize:Fa.quadrantChart?.quadrantLabelFontSize||16,quadrantTextTopPadding:Fa.quadrantChart?.quadrantTextTopPadding||5,pointTextPadding:Fa.quadrantChart?.pointTextPadding||5,pointLabelFontSize:Fa.quadrantChart?.pointLabelFontSize||12,pointRadius:Fa.quadrantChart?.pointRadius||5,xAxisPosition:Fa.quadrantChart?.xAxisPosition||"top",yAxisPosition:Fa.quadrantChart?.yAxisPosition||"left",quadrantInternalBorderStrokeWidth:Fa.quadrantChart?.quadrantInternalBorderStrokeWidth||1,quadrantExternalBorderStrokeWidth:Fa.quadrantChart?.quadrantExternalBorderStrokeWidth||2}}getDefaultThemeConfig(){return{quadrant1Fill:Co.quadrant1Fill,quadrant2Fill:Co.quadrant2Fill,quadrant3Fill:Co.quadrant3Fill,quadrant4Fill:Co.quadrant4Fill,quadrant1TextFill:Co.quadrant1TextFill,quadrant2TextFill:Co.quadrant2TextFill,quadrant3TextFill:Co.quadrant3TextFill,quadrant4TextFill:Co.quadrant4TextFill,quadrantPointFill:Co.quadrantPointFill,quadrantPointTextFill:Co.quadrantPointTextFill,quadrantXAxisTextFill:Co.quadrantXAxisTextFill,quadrantYAxisTextFill:Co.quadrantYAxisTextFill,quadrantTitleFill:Co.quadrantTitleFill,quadrantInternalBorderStrokeFill:Co.quadrantInternalBorderStrokeFill,quadrantExternalBorderStrokeFill:Co.quadrantExternalBorderStrokeFill}}clear(){this.config=this.getDefaultConfig(),this.themeConfig=this.getDefaultThemeConfig(),this.data=this.getDefaultData(),this.classes=new Map,Be.info("clear called")}setData(t){this.data={...this.data,...t}}addPoints(t){this.data.points=[...t,...this.data.points]}addClass(t,e){this.classes.set(t,e)}setConfig(t){Be.trace("setConfig called with: ",t),this.config={...this.config,...t}}setThemeConfig(t){Be.trace("setThemeConfig called with: ",t),this.themeConfig={...this.themeConfig,...t}}calculateSpace(t,e,n,a){const r=this.config.xAxisLabelPadding*2+this.config.xAxisLabelFontSize,i={top:t==="top"&&e?r:0,bottom:t==="bottom"&&e?r:0},A=this.config.yAxisLabelPadding*2+this.config.yAxisLabelFontSize,o={left:this.config.yAxisPosition==="left"&&n?A:0,right:this.config.yAxisPosition==="right"&&n?A:0},s=this.config.titleFontSize+this.config.titlePadding*2,l={top:a?s:0},d=this.config.quadrantPadding+o.left,u=this.config.quadrantPadding+i.top+l.top,g=this.config.chartWidth-this.config.quadrantPadding*2-o.left-o.right,p=this.config.chartHeight-this.config.quadrantPadding*2-i.top-i.bottom-l.top,m=g/2,f=p/2;return{xAxisSpace:i,yAxisSpace:o,titleSpace:l,quadrantSpace:{quadrantLeft:d,quadrantTop:u,quadrantWidth:g,quadrantHalfWidth:m,quadrantHeight:p,quadrantHalfHeight:f}}}getAxisLabels(t,e,n,a){const{quadrantSpace:r,titleSpace:i}=a,{quadrantHalfHeight:A,quadrantHeight:o,quadrantLeft:s,quadrantHalfWidth:l,quadrantTop:d,quadrantWidth:u}=r,g=!!this.data.xAxisRightText,p=!!this.data.yAxisTopText,m=[];return this.data.xAxisLeftText&&e&&m.push({text:this.data.xAxisLeftText,fill:this.themeConfig.quadrantXAxisTextFill,x:s+(g?l/2:0),y:t==="top"?this.config.xAxisLabelPadding+i.top:this.config.xAxisLabelPadding+d+o+this.config.quadrantPadding,fontSize:this.config.xAxisLabelFontSize,verticalPos:g?"center":"left",horizontalPos:"top",rotation:0}),this.data.xAxisRightText&&e&&m.push({text:this.data.xAxisRightText,fill:this.themeConfig.quadrantXAxisTextFill,x:s+l+(g?l/2:0),y:t==="top"?this.config.xAxisLabelPadding+i.top:this.config.xAxisLabelPadding+d+o+this.config.quadrantPadding,fontSize:this.config.xAxisLabelFontSize,verticalPos:g?"center":"left",horizontalPos:"top",rotation:0}),this.data.yAxisBottomText&&n&&m.push({text:this.data.yAxisBottomText,fill:this.themeConfig.quadrantYAxisTextFill,x:this.config.yAxisPosition==="left"?this.config.yAxisLabelPadding:this.config.yAxisLabelPadding+s+u+this.config.quadrantPadding,y:d+o-(p?A/2:0),fontSize:this.config.yAxisLabelFontSize,verticalPos:p?"center":"left",horizontalPos:"top",rotation:-90}),this.data.yAxisTopText&&n&&m.push({text:this.data.yAxisTopText,fill:this.themeConfig.quadrantYAxisTextFill,x:this.config.yAxisPosition==="left"?this.config.yAxisLabelPadding:this.config.yAxisLabelPadding+s+u+this.config.quadrantPadding,y:d+A-(p?A/2:0),fontSize:this.config.yAxisLabelFontSize,verticalPos:p?"center":"left",horizontalPos:"top",rotation:-90}),m}getQuadrants(t){const{quadrantSpace:e}=t,{quadrantHalfHeight:n,quadrantLeft:a,quadrantHalfWidth:r,quadrantTop:i}=e,A=[{text:{text:this.data.quadrant1Text,fill:this.themeConfig.quadrant1TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:a+r,y:i,width:r,height:n,fill:this.themeConfig.quadrant1Fill},{text:{text:this.data.quadrant2Text,fill:this.themeConfig.quadrant2TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:a,y:i,width:r,height:n,fill:this.themeConfig.quadrant2Fill},{text:{text:this.data.quadrant3Text,fill:this.themeConfig.quadrant3TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:a,y:i+n,width:r,height:n,fill:this.themeConfig.quadrant3Fill},{text:{text:this.data.quadrant4Text,fill:this.themeConfig.quadrant4TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:a+r,y:i+n,width:r,height:n,fill:this.themeConfig.quadrant4Fill}];for(const o of A)o.text.x=o.x+o.width/2,this.data.points.length===0?(o.text.y=o.y+o.height/2,o.text.horizontalPos="middle"):(o.text.y=o.y+this.config.quadrantTextTopPadding,o.text.horizontalPos="top");return A}getQuadrantPoints(t){const{quadrantSpace:e}=t,{quadrantHeight:n,quadrantLeft:a,quadrantTop:r,quadrantWidth:i}=e,A=JC().domain([0,1]).range([a,i+a]),o=JC().domain([0,1]).range([n+r,r]);return this.data.points.map(l=>{const d=this.classes.get(l.className);return d&&(l={...d,...l}),{x:A(l.x),y:o(l.y),fill:l.color??this.themeConfig.quadrantPointFill,radius:l.radius??this.config.pointRadius,text:{text:l.text,fill:this.themeConfig.quadrantPointTextFill,x:A(l.x),y:o(l.y)+this.config.pointTextPadding,verticalPos:"center",horizontalPos:"top",fontSize:this.config.pointLabelFontSize,rotation:0},strokeColor:l.strokeColor??this.themeConfig.quadrantPointFill,strokeWidth:l.strokeWidth??"0px"}})}getBorders(t){const e=this.config.quadrantExternalBorderStrokeWidth/2,{quadrantSpace:n}=t,{quadrantHalfHeight:a,quadrantHeight:r,quadrantLeft:i,quadrantHalfWidth:A,quadrantTop:o,quadrantWidth:s}=n;return[{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:i-e,y1:o,x2:i+s+e,y2:o},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:i+s,y1:o+e,x2:i+s,y2:o+r-e},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:i-e,y1:o+r,x2:i+s+e,y2:o+r},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:i,y1:o+e,x2:i,y2:o+r-e},{strokeFill:this.themeConfig.quadrantInternalBorderStrokeFill,strokeWidth:this.config.quadrantInternalBorderStrokeWidth,x1:i+A,y1:o+e,x2:i+A,y2:o+r-e},{strokeFill:this.themeConfig.quadrantInternalBorderStrokeFill,strokeWidth:this.config.quadrantInternalBorderStrokeWidth,x1:i+e,y1:o+a,x2:i+s-e,y2:o+a}]}getTitle(t){if(t)return{text:this.data.titleText,fill:this.themeConfig.quadrantTitleFill,fontSize:this.config.titleFontSize,horizontalPos:"top",verticalPos:"center",rotation:0,y:this.config.titlePadding,x:this.config.chartWidth/2}}build(){const t=this.config.showXAxis&&!!(this.data.xAxisLeftText||this.data.xAxisRightText),e=this.config.showYAxis&&!!(this.data.yAxisTopText||this.data.yAxisBottomText),n=this.config.showTitle&&!!this.data.titleText,a=this.data.points.length>0?"bottom":this.config.xAxisPosition,r=this.calculateSpace(a,t,e,n);return{points:this.getQuadrantPoints(r),quadrants:this.getQuadrants(r),axisLabels:this.getAxisLabels(a,t,e,r),borderLines:this.getBorders(r),title:this.getTitle(n)}}},qD=class extends Error{static{v(this,"InvalidStyleError")}constructor(t,e,n){super(`value for ${t} ${e} is invalid, please use a valid ${n}`),this.name="InvalidStyleError"}};function AK(t){return!/^#?([\dA-Fa-f]{6}|[\dA-Fa-f]{3})$/.test(t)}v(AK,"validateHexCode");function wSe(t){return!/^\d+$/.test(t)}v(wSe,"validateNumber");function kSe(t){return!/^\d+px$/.test(t)}v(kSe,"validateSizeInPixels");var PGt=Xe();function Kd(t){return Ta(t.trim(),PGt)}v(Kd,"textSanitizer");var UA=new UGt;function vSe(t){UA.setData({quadrant1Text:Kd(t.text)})}v(vSe,"setQuadrant1Text");function DSe(t){UA.setData({quadrant2Text:Kd(t.text)})}v(DSe,"setQuadrant2Text");function xSe(t){UA.setData({quadrant3Text:Kd(t.text)})}v(xSe,"setQuadrant3Text");function SSe(t){UA.setData({quadrant4Text:Kd(t.text)})}v(SSe,"setQuadrant4Text");function _Se(t){UA.setData({xAxisLeftText:Kd(t.text)})}v(_Se,"setXAxisLeftText");function RSe(t){UA.setData({xAxisRightText:Kd(t.text)})}v(RSe,"setXAxisRightText");function NSe(t){UA.setData({yAxisTopText:Kd(t.text)})}v(NSe,"setYAxisTopText");function MSe(t){UA.setData({yAxisBottomText:Kd(t.text)})}v(MSe,"setYAxisBottomText");function FN(t){const e={};for(const n of t){const[a,r]=n.trim().split(/\s*:\s*/);if(a==="radius"){if(wSe(r))throw new qD(a,r,"number");e.radius=parseInt(r)}else if(a==="color"){if(AK(r))throw new qD(a,r,"hex code");e.color=r}else if(a==="stroke-color"){if(AK(r))throw new qD(a,r,"hex code");e.strokeColor=r}else if(a==="stroke-width"){if(kSe(r))throw new qD(a,r,"number of pixels (eg. 10px)");e.strokeWidth=r}else throw new Error(`style named ${a} is not supported.`)}return e}v(FN,"parseStyles");function FSe(t,e,n,a,r){const i=FN(r);UA.addPoints([{x:n,y:a,text:Kd(t.text),className:e,...i}])}v(FSe,"addPoint");function LSe(t,e){UA.addClass(t,FN(e))}v(LSe,"addClass");function TSe(t){UA.setConfig({chartWidth:t})}v(TSe,"setWidth");function GSe(t){UA.setConfig({chartHeight:t})}v(GSe,"setHeight");function OSe(){const t=Xe(),{themeVariables:e,quadrantChart:n}=t;return n&&UA.setConfig(n),UA.setThemeConfig({quadrant1Fill:e.quadrant1Fill,quadrant2Fill:e.quadrant2Fill,quadrant3Fill:e.quadrant3Fill,quadrant4Fill:e.quadrant4Fill,quadrant1TextFill:e.quadrant1TextFill,quadrant2TextFill:e.quadrant2TextFill,quadrant3TextFill:e.quadrant3TextFill,quadrant4TextFill:e.quadrant4TextFill,quadrantPointFill:e.quadrantPointFill,quadrantPointTextFill:e.quadrantPointTextFill,quadrantXAxisTextFill:e.quadrantXAxisTextFill,quadrantYAxisTextFill:e.quadrantYAxisTextFill,quadrantExternalBorderStrokeFill:e.quadrantExternalBorderStrokeFill,quadrantInternalBorderStrokeFill:e.quadrantInternalBorderStrokeFill,quadrantTitleFill:e.quadrantTitleFill}),UA.setData({titleText:zi()}),UA.build()}v(OSe,"getQuadrantData");var KGt=v(function(){UA.clear(),ji()},"clear"),HGt={setWidth:TSe,setHeight:GSe,setQuadrant1Text:vSe,setQuadrant2Text:DSe,setQuadrant3Text:xSe,setQuadrant4Text:SSe,setXAxisLeftText:_Se,setXAxisRightText:RSe,setYAxisTopText:NSe,setYAxisBottomText:MSe,parseStyles:FN,addPoint:FSe,addClass:LSe,getQuadrantData:OSe,clear:KGt,setAccTitle:Yi,getAccTitle:cA,setDiagramTitle:QA,getDiagramTitle:zi,getAccDescription:dA,setAccDescription:lA},YGt=v((t,e,n,a)=>{function r(x){return x==="top"?"hanging":"middle"}v(r,"getDominantBaseLine");function i(x){return x==="left"?"start":"middle"}v(i,"getTextAnchor");function A(x){return`translate(${x.x}, ${x.y}) rotate(${x.rotation||0})`}v(A,"getTransformation");const o=Xe();Be.debug(`Rendering quadrant chart +`+t);const s=o.securityLevel;let l;s==="sandbox"&&(l=Jt("#i"+e));const u=Jt(s==="sandbox"?l.nodes()[0].contentDocument.body:"body").select(`[id="${e}"]`),g=u.append("g").attr("class","main"),p=o.quadrantChart?.chartWidth??500,m=o.quadrantChart?.chartHeight??500;Go(u,m,p,o.quadrantChart?.useMaxWidth??!0),u.attr("viewBox","0 0 "+p+" "+m),a.db.setHeight(m),a.db.setWidth(p);const f=a.db.getQuadrantData(),b=g.append("g").attr("class","quadrants"),C=g.append("g").attr("class","border"),I=g.append("g").attr("class","data-points"),B=g.append("g").attr("class","labels"),w=g.append("g").attr("class","title");f.title&&w.append("text").attr("x",0).attr("y",0).attr("fill",f.title.fill).attr("font-size",f.title.fontSize).attr("dominant-baseline",r(f.title.horizontalPos)).attr("text-anchor",i(f.title.verticalPos)).attr("transform",A(f.title)).text(f.title.text),f.borderLines&&C.selectAll("line").data(f.borderLines).enter().append("line").attr("x1",x=>x.x1).attr("y1",x=>x.y1).attr("x2",x=>x.x2).attr("y2",x=>x.y2).style("stroke",x=>x.strokeFill).style("stroke-width",x=>x.strokeWidth);const k=b.selectAll("g.quadrant").data(f.quadrants).enter().append("g").attr("class","quadrant");k.append("rect").attr("x",x=>x.x).attr("y",x=>x.y).attr("width",x=>x.width).attr("height",x=>x.height).attr("fill",x=>x.fill),k.append("text").attr("x",0).attr("y",0).attr("fill",x=>x.text.fill).attr("font-size",x=>x.text.fontSize).attr("dominant-baseline",x=>r(x.text.horizontalPos)).attr("text-anchor",x=>i(x.text.verticalPos)).attr("transform",x=>A(x.text)).text(x=>x.text.text),B.selectAll("g.label").data(f.axisLabels).enter().append("g").attr("class","label").append("text").attr("x",0).attr("y",0).text(x=>x.text).attr("fill",x=>x.fill).attr("font-size",x=>x.fontSize).attr("dominant-baseline",x=>r(x.horizontalPos)).attr("text-anchor",x=>i(x.verticalPos)).attr("transform",x=>A(x));const 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this.textDimensionCalculator.getMaxDimension(this.getTickValues().map(t=>t.toString()),this.axisConfig.labelFontSize)}recalculateOuterPaddingToDrawBar(){lue*this.getTickDistance()>this.outerPadding*2&&(this.outerPadding=Math.floor(lue*this.getTickDistance()/2)),this.recalculateScale()}calculateSpaceIfDrawnHorizontally(t){let e=t.height;if(this.axisConfig.showAxisLine&&e>this.axisConfig.axisLineWidth&&(e-=this.axisConfig.axisLineWidth,this.showAxisLine=!0),this.axisConfig.showLabel){const n=this.getLabelDimension(),a=due*t.width;this.outerPadding=Math.min(n.width/2,a);const r=n.height+this.axisConfig.labelPadding*2;this.labelTextHeight=n.height,r<=e&&(e-=r,this.showLabel=!0)}if(this.axisConfig.showTick&&e>=this.axisConfig.tickLength&&(this.showTick=!0,e-=this.axisConfig.tickLength),this.axisConfig.showTitle&&this.title){const n=this.textDimensionCalculator.getMaxDimension([this.title],this.axisConfig.titleFontSize),a=n.height+this.axisConfig.titlePadding*2;this.titleTextHeight=n.height,a<=e&&(e-=a,this.showTitle=!0)}this.boundingRect.width=t.width,this.boundingRect.height=t.height-e}calculateSpaceIfDrawnVertical(t){let e=t.width;if(this.axisConfig.showAxisLine&&e>this.axisConfig.axisLineWidth&&(e-=this.axisConfig.axisLineWidth,this.showAxisLine=!0),this.axisConfig.showLabel){const n=this.getLabelDimension(),a=due*t.height;this.outerPadding=Math.min(n.height/2,a);const r=n.width+this.axisConfig.labelPadding*2;r<=e&&(e-=r,this.showLabel=!0)}if(this.axisConfig.showTick&&e>=this.axisConfig.tickLength&&(this.showTick=!0,e-=this.axisConfig.tickLength),this.axisConfig.showTitle&&this.title){const n=this.textDimensionCalculator.getMaxDimension([this.title],this.axisConfig.titleFontSize),a=n.height+this.axisConfig.titlePadding*2;this.titleTextHeight=n.height,a<=e&&(e-=a,this.showTitle=!0)}this.boundingRect.width=t.width-e,this.boundingRect.height=t.height}calculateSpace(t){return this.axisPosition==="left"||this.axisPosition==="right"?this.calculateSpaceIfDrawnVertical(t):this.calculateSpaceIfDrawnHorizontally(t),this.recalculateScale(),{width:this.boundingRect.width,height:this.boundingRect.height}}setBoundingBoxXY(t){this.boundingRect.x=t.x,this.boundingRect.y=t.y}getDrawableElementsForLeftAxis(){const t=[];if(this.showAxisLine){const e=this.boundingRect.x+this.boundingRect.width-this.axisConfig.axisLineWidth/2;t.push({type:"path",groupTexts:["left-axis","axisl-line"],data:[{path:`M ${e},${this.boundingRect.y} L ${e},${this.boundingRect.y+this.boundingRect.height} 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${this.boundingRect.x+this.boundingRect.width},${e}`,strokeFill:this.axisThemeConfig.axisLineColor,strokeWidth:this.axisConfig.axisLineWidth}]})}if(this.showLabel&&t.push({type:"text",groupTexts:["bottom-axis","label"],data:this.getTickValues().map(e=>({text:e.toString(),x:this.getScaleValue(e),y:this.boundingRect.y+this.axisConfig.labelPadding+(this.showTick?this.axisConfig.tickLength:0)+(this.showAxisLine?this.axisConfig.axisLineWidth:0),fill:this.axisThemeConfig.labelColor,fontSize:this.axisConfig.labelFontSize,rotation:0,verticalPos:"top",horizontalPos:"center"}))}),this.showTick){const e=this.boundingRect.y+(this.showAxisLine?this.axisConfig.axisLineWidth:0);t.push({type:"path",groupTexts:["bottom-axis","ticks"],data:this.getTickValues().map(n=>({path:`M ${this.getScaleValue(n)},${e} L ${this.getScaleValue(n)},${e+this.axisConfig.tickLength}`,strokeFill:this.axisThemeConfig.tickColor,strokeWidth:this.axisConfig.tickWidth}))})}return this.showTitle&&t.push({type:"text",groupTexts:["bottom-axis","title"],data:[{text:this.title,x:this.range[0]+(this.range[1]-this.range[0])/2,y:this.boundingRect.y+this.boundingRect.height-this.axisConfig.titlePadding-this.titleTextHeight,fill:this.axisThemeConfig.titleColor,fontSize:this.axisConfig.titleFontSize,rotation:0,verticalPos:"top",horizontalPos:"center"}]}),t}getDrawableElementsForTopAxis(){const t=[];if(this.showAxisLine){const e=this.boundingRect.y+this.boundingRect.height-this.axisConfig.axisLineWidth/2;t.push({type:"path",groupTexts:["top-axis","axis-line"],data:[{path:`M ${this.boundingRect.x},${e} L ${this.boundingRect.x+this.boundingRect.width},${e}`,strokeFill:this.axisThemeConfig.axisLineColor,strokeWidth:this.axisConfig.axisLineWidth}]})}if(this.showLabel&&t.push({type:"text",groupTexts:["top-axis","label"],data:this.getTickValues().map(e=>({text:e.toString(),x:this.getScaleValue(e),y:this.boundingRect.y+(this.showTitle?this.titleTextHeight+this.axisConfig.titlePadding*2:0)+this.axisConfig.labelPadding,fill:this.axisThemeConfig.labelColor,fontSize:this.axisConfig.labelFontSize,rotation:0,verticalPos:"top",horizontalPos:"center"}))}),this.showTick){const e=this.boundingRect.y;t.push({type:"path",groupTexts:["top-axis","ticks"],data:this.getTickValues().map(n=>({path:`M ${this.getScaleValue(n)},${e+this.boundingRect.height-(this.showAxisLine?this.axisConfig.axisLineWidth:0)} L 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this.showChartTitle&&t.push({groupTexts:["chart-title"],type:"text",data:[{fontSize:this.chartConfig.titleFontSize,text:this.chartData.title,verticalPos:"middle",horizontalPos:"center",x:this.boundingRect.x+this.boundingRect.width/2,y:this.boundingRect.y+this.boundingRect.height/2,fill:this.chartThemeConfig.titleColor,rotation:0}]}),t}};function KSe(t,e,n,a){const r=new USe(a);return new VGt(r,t,e,n)}v(KSe,"getChartTitleComponent");var XGt=class{constructor(t,e,n,a,r){this.plotData=t,this.xAxis=e,this.yAxis=n,this.orientation=a,this.plotIndex=r}static{v(this,"LinePlot")}getDrawableElement(){const t=this.plotData.data.map(n=>[this.xAxis.getScaleValue(n[0]),this.yAxis.getScaleValue(n[1])]);let e;return this.orientation==="horizontal"?e=LQ().y(n=>n[0]).x(n=>n[1])(t):e=LQ().x(n=>n[0]).y(n=>n[1])(t),e?[{groupTexts:["plot",`line-plot-${this.plotIndex}`],type:"path",data:[{path:e,strokeFill:this.plotData.strokeFill,strokeWidth:this.plotData.strokeWidth}]}]:[]}},$Gt=class{constructor(t,e,n,a,r,i){this.barData=t,this.boundingRect=e,this.xAxis=n,this.yAxis=a,this.orientation=r,this.plotIndex=i}static{v(this,"BarPlot")}getDrawableElement(){const t=this.barData.data.map(r=>[this.xAxis.getScaleValue(r[0]),this.yAxis.getScaleValue(r[1])]),n=Math.min(this.xAxis.getAxisOuterPadding()*2,this.xAxis.getTickDistance())*(1-.05),a=n/2;return this.orientation==="horizontal"?[{groupTexts:["plot",`bar-plot-${this.plotIndex}`],type:"rect",data:t.map(r=>({x:this.boundingRect.x,y:r[0]-a,height:n,width:r[1]-this.boundingRect.x,fill:this.barData.fill,strokeWidth:0,strokeFill:this.barData.fill}))}]:[{groupTexts:["plot",`bar-plot-${this.plotIndex}`],type:"rect",data:t.map(r=>({x:r[0]-a,y:r[1],width:n,height:this.boundingRect.y+this.boundingRect.height-r[1],fill:this.barData.fill,strokeWidth:0,strokeFill:this.barData.fill}))}]}},e4t=class{constructor(t,e,n){this.chartConfig=t,this.chartData=e,this.chartThemeConfig=n,this.boundingRect={x:0,y:0,width:0,height:0}}static{v(this,"BasePlot")}setAxes(t,e){this.xAxis=t,this.yAxis=e}setBoundingBoxXY(t){this.boundingRect.x=t.x,this.boundingRect.y=t.y}calculateSpace(t){return this.boundingRect.width=t.width,this.boundingRect.height=t.height,{width:this.boundingRect.width,height:this.boundingRect.height}}getDrawableElements(){if(!(this.xAxis&&this.yAxis))throw Error("Axes must be passed to render Plots");const t=[];for(const[e,n]of this.chartData.plots.entries())switch(n.type){case"line":{const a=new XGt(n,this.xAxis,this.yAxis,this.chartConfig.chartOrientation,e);t.push(...a.getDrawableElement())}break;case"bar":{const a=new $Gt(n,this.boundingRect,this.xAxis,this.yAxis,this.chartConfig.chartOrientation,e);t.push(...a.getDrawableElement())}break}return t}};function HSe(t,e,n){return new e4t(t,e,n)}v(HSe,"getPlotComponent");var t4t=class{constructor(t,e,n,a){this.chartConfig=t,this.chartData=e,this.componentStore={title:KSe(t,e,n,a),plot:HSe(t,e,n),xAxis:cK(e.xAxis,t.xAxis,{titleColor:n.xAxisTitleColor,labelColor:n.xAxisLabelColor,tickColor:n.xAxisTickColor,axisLineColor:n.xAxisLineColor},a),yAxis:cK(e.yAxis,t.yAxis,{titleColor:n.yAxisTitleColor,labelColor:n.yAxisLabelColor,tickColor:n.yAxisTickColor,axisLineColor:n.yAxisLineColor},a)}}static{v(this,"Orchestrator")}calculateVerticalSpace(){let t=this.chartConfig.width,e=this.chartConfig.height,n=0,a=0,r=Math.floor(t*this.chartConfig.plotReservedSpacePercent/100),i=Math.floor(e*this.chartConfig.plotReservedSpacePercent/100),A=this.componentStore.plot.calculateSpace({width:r,height:i});t-=A.width,e-=A.height,A=this.componentStore.title.calculateSpace({width:this.chartConfig.width,height:e}),a=A.height,e-=A.height,this.componentStore.xAxis.setAxisPosition("bottom"),A=this.componentStore.xAxis.calculateSpace({width:t,height:e}),e-=A.height,this.componentStore.yAxis.setAxisPosition("left"),A=this.componentStore.yAxis.calculateSpace({width:t,height:e}),n=A.width,t-=A.width,t>0&&(r+=t,t=0),e>0&&(i+=e,e=0),this.componentStore.plot.calculateSpace({width:r,height:i}),this.componentStore.plot.setBoundingBoxXY({x:n,y:a}),this.componentStore.xAxis.setRange([n,n+r]),this.componentStore.xAxis.setBoundingBoxXY({x:n,y:a+i}),this.componentStore.yAxis.setRange([a,a+i]),this.componentStore.yAxis.setBoundingBoxXY({x:0,y:a}),this.chartData.plots.some(o=>sK(o))&&this.componentStore.xAxis.recalculateOuterPaddingToDrawBar()}calculateHorizontalSpace(){let 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68:this.$=Ce[Me-1]+Ce[Me];break}},"anonymous"),table:[{3:1,4:2,6:e,9:n,11:a,13:r},{1:[3]},{3:8,4:2,5:[1,7],6:e,9:n,11:a,13:r},{5:[1,9]},{10:[1,10]},{12:[1,11]},t(i,[2,6]),{3:12,4:2,6:e,9:n,11:a,13:r},{1:[2,2]},{4:17,5:A,7:13,8:o,9:n,11:a,13:r,14:14,15:15,16:16,17:18,18:19,19:20,20:21,21:s,22:l,23:d,24:u,25:23,33:25,41:g,42:p,43:m,44:f,45:b,46:C,54:I,72:B,74:w,77:k,89:_,90:D},t(i,[2,4]),t(i,[2,5]),{1:[2,1]},{8:[1,41]},{4:17,5:A,7:42,8:o,9:n,11:a,13:r,14:14,15:15,16:16,17:18,18:19,19:20,20:21,21:s,22:l,23:d,24:u,25:23,33:25,41:g,42:p,43:m,44:f,45:b,46:C,54:I,72:B,74:w,77:k,89:_,90:D},{4:17,5:A,7:43,8:o,9:n,11:a,13:r,14:14,15:15,16:16,17:18,18:19,19:20,20:21,21:s,22:l,23:d,24:u,25:23,33:25,41:g,42:p,43:m,44:f,45:b,46:C,54:I,72:B,74:w,77:k,89:_,90:D},{4:17,5:A,7:44,8:o,9:n,11:a,13:r,14:14,15:15,16:16,17:18,18:19,19:20,20:21,21:s,22:l,23:d,24:u,25:23,33:25,41:g,42:p,43:m,44:f,45:b,46:C,54:I,72:B,74:w,77:k,89:_,90:D},{4:17,5:A,7:45,8:o,9:n,11:a,13:r,14:14,15:15,16:16,17:18,18:19,19:20,20:21,21:s,22:l,23:d,24:u,25:23,33:25,41:g,42:p,43:m,44:f,45:b,46:C,54:I,72:B,74:w,77:k,89:_,90:D},{4:17,5:A,7:46,8:o,9:n,11:a,13:r,14:14,15:15,16:16,17:18,18:19,19:20,20:21,21:s,22:l,23:d,24:u,25:23,33:25,41:g,42:p,43:m,44:f,45:b,46:C,54:I,72:B,74:w,77:k,89:_,90:D},{4:17,5:A,7:47,8:o,9:n,11:a,13:r,14:14,15:15,16:16,17:18,18:19,19:20,20:21,21:s,22:l,23:d,24:u,25:23,33:25,41:g,42:p,43:m,44:f,45:b,46:C,54:I,72:B,74:w,77:k,89:_,90:D},{4:17,5:A,7:48,8:o,9:n,11:a,13:r,14:14,15:15,16:16,17:18,18:19,19:20,20:21,21:s,22:l,23:d,24:u,25:23,33:25,41:g,42:p,43:m,44:f,45:b,46:C,54:I,72:B,74:w,77:k,89:_,90:D},{4:17,5:A,7:49,8:o,9:n,11:a,13:r,14:14,15:15,16:16,17:18,18:19,19:20,20:21,21:s,22:l,23:d,24:u,25:23,33:25,41:g,42:p,43:m,44:f,45:b,46:C,54:I,72:B,74:w,77:k,89:_,90:D},{4:17,5:A,7:50,8:o,9:n,11:a,13:r,14:14,15:15,16:16,17:18,18:19,19:20,20:21,21:s,22:l,23:d,24:u,25:23,33:25,41:g,42:p,43:m,44:f,45:b,46:C,54:I,72:B,74:w,77:k,89:_,90:D},{26:51,89:[1,52],90:[1,53]},{55:54,89:[1,55],90:[1,56]},{29:[1,59],61:[1,57],63:[1,58]},t(x,[2,17]),t(x,[2,18]),t(x,[2,19]),t(x,[2,20]),{30:60,33:62,75:S,89:_,90:D},{30:63,33:62,75:S,89:_,90:D},{30:64,33:62,75:S,89:_,90:D},t(F,[2,29]),t(F,[2,30]),t(F,[2,31]),t(F,[2,32]),t(F,[2,33]),t(F,[2,34]),t(M,[2,81]),t(M,[2,82]),{1:[2,3]},{8:[2,8]},{8:[2,9]},{8:[2,10]},{8:[2,11]},{8:[2,12]},{8:[2,13]},{8:[2,14]},{8:[2,15]},{8:[2,16]},{27:[1,65],29:[1,66]},t(O,[2,79]),t(O,[2,80]),{27:[1,67],29:[1,68]},t(O,[2,85]),t(O,[2,86]),{62:69,65:K,66:R,67:G,68:T,69:L,70:U,71:H},{62:77,65:K,66:R,67:G,68:T,69:L,70:U,71:H},{30:78,33:62,75:S,89:_,90:D},{73:79,75:q,76:P,78:81,79:82,80:j,81:Z,82:$,83:X,84:ce,85:te,86:he,87:ae,88:se},t(oe,[2,60]),t(oe,[2,62]),{73:93,75:q,76:P,78:81,79:82,80:j,81:Z,82:$,83:X,84:ce,85:te,86:he,87:ae,88:se},{30:94,33:62,75:S,76:P,89:_,90:D},{5:[1,95]},{30:96,33:62,75:S,89:_,90:D},{5:[1,97]},{30:98,33:62,75:S,89:_,90:D},{63:[1,99]},t(Ae,[2,50]),t(Ae,[2,51]),t(Ae,[2,52]),t(Ae,[2,53]),t(Ae,[2,54]),t(Ae,[2,55]),t(Ae,[2,56]),{64:[1,100]},t(x,[2,59],{76:P}),t(x,[2,64],{76:pe}),{33:103,75:[1,102],89:_,90:D},t(le,[2,65],{79:104,75:q,80:j,81:Z,82:$,83:X,84:ce,85:te,86:he,87:ae,88:se}),t(ke,[2,67]),t(ke,[2,69]),t(ke,[2,70]),t(ke,[2,71]),t(ke,[2,72]),t(ke,[2,73]),t(ke,[2,74]),t(ke,[2,75]),t(ke,[2,76]),t(ke,[2,77]),t(ke,[2,78]),t(x,[2,57],{76:pe}),t(x,[2,58],{76:P}),{5:me,28:105,31:He,34:ie,36:Ze,38:ve,40:at},{27:[1,112],76:P},{5:rt,40:ct,56:113,57:Oe,59:st},{27:[1,118],76:P},{33:119,89:_,90:D},{33:120,89:_,90:D},{75:q,78:121,79:82,80:j,81:Z,82:$,83:X,84:ce,85:te,86:he,87:ae,88:se},t(oe,[2,61]),t(oe,[2,63]),t(ke,[2,68]),t(x,[2,21]),{32:[1,122]},{32:[1,123]},{32:[1,124]},{32:[1,125]},{5:me,28:126,31:He,34:ie,36:Ze,38:ve,40:at},t(x,[2,28]),{5:[1,127]},t(x,[2,42]),{32:[1,128]},{32:[1,129]},{5:rt,40:ct,56:130,57:Oe,59:st},t(x,[2,47]),{5:[1,131]},t(x,[2,48]),t(x,[2,49]),t(le,[2,66],{79:104,75:q,80:j,81:Z,82:$,83:X,84:ce,85:te,86:he,87:ae,88:se}),{33:132,89:_,90:D},{35:133,89:[1,134],90:[1,135]},{37:136,47:[1,137],48:[1,138],49:[1,139]},{39:140,50:[1,141],51:[1,142],52:[1,143],53:[1,144]},t(x,[2,27]),{5:me,28:145,31:He,34:ie,36:Ze,38:ve,40:at},{58:146,89:[1,147],90:[1,148]},{60:149,89:[1,150],90:[1,151]},t(x,[2,46]),{5:rt,40:ct,56:152,57:Oe,59:st},{5:[1,153]},{5:[1,154]},{5:[2,83]},{5:[2,84]},{5:[1,155]},{5:[2,35]},{5:[2,36]},{5:[2,37]},{5:[1,156]},{5:[2,38]},{5:[2,39]},{5:[2,40]},{5:[2,41]},t(x,[2,22]),{5:[1,157]},{5:[2,87]},{5:[2,88]},{5:[1,158]},{5:[2,89]},{5:[2,90]},t(x,[2,43]),{5:me,28:159,31:He,34:ie,36:Ze,38:ve,40:at},{5:me,28:160,31:He,34:ie,36:Ze,38:ve,40:at},{5:me,28:161,31:He,34:ie,36:Ze,38:ve,40:at},{5:me,28:162,31:He,34:ie,36:Ze,38:ve,40:at},{5:rt,40:ct,56:163,57:Oe,59:st},{5:rt,40:ct,56:164,57:Oe,59:st},t(x,[2,23]),t(x,[2,24]),t(x,[2,25]),t(x,[2,26]),t(x,[2,44]),t(x,[2,45])],defaultActions:{8:[2,2],12:[2,1],41:[2,3],42:[2,8],43:[2,9],44:[2,10],45:[2,11],46:[2,12],47:[2,13],48:[2,14],49:[2,15],50:[2,16],134:[2,83],135:[2,84],137:[2,35],138:[2,36],139:[2,37],141:[2,38],142:[2,39],143:[2,40],144:[2,41],147:[2,87],148:[2,88],150:[2,89],151:[2,90]},parseError:v(function(et,fe){if(fe.recoverable)this.trace(et);else{var De=new Error(et);throw De.hash=fe,De}},"parseError"),parse:v(function(et){var fe=this,De=[0],V=[],ye=[null],Ce=[],Ne=this.table,Me="",Ue=0,Ee=0,xe=2,We=1,nt=Ce.slice.call(arguments,1),ht=Object.create(this.lexer),Qe={yy:{}};for(var Ye in this.yy)Object.prototype.hasOwnProperty.call(this.yy,Ye)&&(Qe.yy[Ye]=this.yy[Ye]);ht.setInput(et,Qe.yy),Qe.yy.lexer=ht,Qe.yy.parser=this,typeof ht.yylloc>"u"&&(ht.yylloc={});var Ge=ht.yylloc;Ce.push(Ge);var ot=ht.options&&ht.options.ranges;typeof Qe.yy.parseError=="function"?this.parseError=Qe.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;function Ft(rn){De.length=De.length-2*rn,ye.length=ye.length-rn,Ce.length=Ce.length-rn}v(Ft,"popStack");function Nt(){var rn;return rn=V.pop()||ht.lex()||We,typeof rn!="number"&&(rn instanceof Array&&(V=rn,rn=V.pop()),rn=fe.symbols_[rn]||rn),rn}v(Nt,"lex");for(var re,pt,dt,_t,St={},Ot,gt,ft,Vt;;){if(pt=De[De.length-1],this.defaultActions[pt]?dt=this.defaultActions[pt]:((re===null||typeof re>"u")&&(re=Nt()),dt=Ne[pt]&&Ne[pt][re]),typeof dt>"u"||!dt.length||!dt[0]){var Yt="";Vt=[];for(Ot in Ne[pt])this.terminals_[Ot]&&Ot>xe&&Vt.push("'"+this.terminals_[Ot]+"'");ht.showPosition?Yt="Parse error on line "+(Ue+1)+`: +`+ht.showPosition()+` +Expecting `+Vt.join(", ")+", got '"+(this.terminals_[re]||re)+"'":Yt="Parse error on line "+(Ue+1)+": Unexpected "+(re==We?"end of input":"'"+(this.terminals_[re]||re)+"'"),this.parseError(Yt,{text:ht.match,token:this.terminals_[re]||re,line:ht.yylineno,loc:Ge,expected:Vt})}if(dt[0]instanceof Array&&dt.length>1)throw new Error("Parse Error: multiple actions possible at state: "+pt+", token: "+re);switch(dt[0]){case 1:De.push(re),ye.push(ht.yytext),Ce.push(ht.yylloc),De.push(dt[1]),re=null,Ee=ht.yyleng,Me=ht.yytext,Ue=ht.yylineno,Ge=ht.yylloc;break;case 2:if(gt=this.productions_[dt[1]][1],St.$=ye[ye.length-gt],St._$={first_line:Ce[Ce.length-(gt||1)].first_line,last_line:Ce[Ce.length-1].last_line,first_column:Ce[Ce.length-(gt||1)].first_column,last_column:Ce[Ce.length-1].last_column},ot&&(St._$.range=[Ce[Ce.length-(gt||1)].range[0],Ce[Ce.length-1].range[1]]),_t=this.performAction.apply(St,[Me,Ee,Ue,Qe.yy,dt[1],ye,Ce].concat(nt)),typeof _t<"u")return _t;gt&&(De=De.slice(0,-1*gt*2),ye=ye.slice(0,-1*gt),Ce=Ce.slice(0,-1*gt)),De.push(this.productions_[dt[1]][0]),ye.push(St.$),Ce.push(St._$),ft=Ne[De[De.length-2]][De[De.length-1]],De.push(ft);break;case 3:return!0}}return!0},"parse")},ze=(function(){var _e={EOF:1,parseError:v(function(fe,De){if(this.yy.parser)this.yy.parser.parseError(fe,De);else throw new Error(fe)},"parseError"),setInput:v(function(et,fe){return this.yy=fe||this.yy||{},this._input=et,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},"setInput"),input:v(function(){var et=this._input[0];this.yytext+=et,this.yyleng++,this.offset++,this.match+=et,this.matched+=et;var fe=et.match(/(?:\r\n?|\n).*/g);return fe?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),et},"input"),unput:v(function(et){var fe=et.length,De=et.split(/(?:\r\n?|\n)/g);this._input=et+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-fe),this.offset-=fe;var V=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),De.length-1&&(this.yylineno-=De.length-1);var ye=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:De?(De.length===V.length?this.yylloc.first_column:0)+V[V.length-De.length].length-De[0].length:this.yylloc.first_column-fe},this.options.ranges&&(this.yylloc.range=[ye[0],ye[0]+this.yyleng-fe]),this.yyleng=this.yytext.length,this},"unput"),more:v(function(){return this._more=!0,this},"more"),reject:v(function(){if(this.options.backtrack_lexer)this._backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+`. You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true). +`+this.showPosition(),{text:"",token:null,line:this.yylineno});return this},"reject"),less:v(function(et){this.unput(this.match.slice(et))},"less"),pastInput:v(function(){var et=this.matched.substr(0,this.matched.length-this.match.length);return(et.length>20?"...":"")+et.substr(-20).replace(/\n/g,"")},"pastInput"),upcomingInput:v(function(){var et=this.match;return et.length<20&&(et+=this._input.substr(0,20-et.length)),(et.substr(0,20)+(et.length>20?"...":"")).replace(/\n/g,"")},"upcomingInput"),showPosition:v(function(){var et=this.pastInput(),fe=new Array(et.length+1).join("-");return et+this.upcomingInput()+` +`+fe+"^"},"showPosition"),test_match:v(function(et,fe){var De,V,ye;if(this.options.backtrack_lexer&&(ye={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(ye.yylloc.range=this.yylloc.range.slice(0))),V=et[0].match(/(?:\r\n?|\n).*/g),V&&(this.yylineno+=V.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:V?V[V.length-1].length-V[V.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+et[0].length},this.yytext+=et[0],this.match+=et[0],this.matches=et,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(et[0].length),this.matched+=et[0],De=this.performAction.call(this,this.yy,this,fe,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),De)return De;if(this._backtrack){for(var Ce in ye)this[Ce]=ye[Ce];return!1}return!1},"test_match"),next:v(function(){if(this.done)return this.EOF;this._input||(this.done=!0);var et,fe,De,V;this._more||(this.yytext="",this.match="");for(var ye=this._currentRules(),Ce=0;Cefe[0].length)){if(fe=De,V=Ce,this.options.backtrack_lexer){if(et=this.test_match(De,ye[Ce]),et!==!1)return et;if(this._backtrack){fe=!1;continue}else return!1}else if(!this.options.flex)break}return fe?(et=this.test_match(fe,ye[V]),et!==!1?et:!1):this._input===""?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+`. Unrecognized text. +`+this.showPosition(),{text:"",token:null,line:this.yylineno})},"next"),lex:v(function(){var fe=this.next();return fe||this.lex()},"lex"),begin:v(function(fe){this.conditionStack.push(fe)},"begin"),popState:v(function(){var fe=this.conditionStack.length-1;return fe>0?this.conditionStack.pop():this.conditionStack[0]},"popState"),_currentRules:v(function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},"_currentRules"),topState:v(function(fe){return fe=this.conditionStack.length-1-Math.abs(fe||0),fe>=0?this.conditionStack[fe]:"INITIAL"},"topState"),pushState:v(function(fe){this.begin(fe)},"pushState"),stateStackSize:v(function(){return this.conditionStack.length},"stateStackSize"),options:{"case-insensitive":!0},performAction:v(function(fe,De,V,ye){switch(V){case 0:return"title";case 1:return this.begin("acc_title"),9;case 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this.begin("style"),77;case 50:return 75;case 51:return 81;case 52:return 88;case 53:return"PERCENT";case 54:return 86;case 55:return 84;case 56:break;case 57:this.begin("string");break;case 58:this.popState();break;case 59:return this.begin("style"),72;case 60:return this.begin("style"),74;case 61:return 61;case 62:return 64;case 63:return 63;case 64:this.begin("string");break;case 65:this.popState();break;case 66:return"qString";case 67:return De.yytext=De.yytext.trim(),89;case 68:return 75;case 69:return 80;case 70:return 76}},"anonymous"),rules:[/^(?:title\s[^#\n;]+)/i,/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?:.*direction\s+TB[^\n]*)/i,/^(?:.*direction\s+BT[^\n]*)/i,/^(?:.*direction\s+RL[^\n]*)/i,/^(?:.*direction\s+LR[^\n]*)/i,/^(?:(\r?\n)+)/i,/^(?:\s+)/i,/^(?:#[^\n]*)/i,/^(?:%[^\n]*)/i,/^(?:$)/i,/^(?:requirementDiagram\b)/i,/^(?:\{)/i,/^(?:\})/i,/^(?::{3})/i,/^(?::)/i,/^(?:id\b)/i,/^(?:text\b)/i,/^(?:risk\b)/i,/^(?:verifyMethod\b)/i,/^(?:requirement\b)/i,/^(?:functionalRequirement\b)/i,/^(?:interfaceRequirement\b)/i,/^(?:performanceRequirement\b)/i,/^(?:physicalRequirement\b)/i,/^(?:designConstraint\b)/i,/^(?:low\b)/i,/^(?:medium\b)/i,/^(?:high\b)/i,/^(?:analysis\b)/i,/^(?:demonstration\b)/i,/^(?:inspection\b)/i,/^(?:test\b)/i,/^(?:element\b)/i,/^(?:contains\b)/i,/^(?:copies\b)/i,/^(?:derives\b)/i,/^(?:satisfies\b)/i,/^(?:verifies\b)/i,/^(?:refines\b)/i,/^(?:traces\b)/i,/^(?:type\b)/i,/^(?:docref\b)/i,/^(?:style\b)/i,/^(?:\w+)/i,/^(?::)/i,/^(?:;)/i,/^(?:%)/i,/^(?:-)/i,/^(?:#)/i,/^(?: )/i,/^(?:["])/i,/^(?:\n)/i,/^(?:classDef\b)/i,/^(?:class\b)/i,/^(?:<-)/i,/^(?:->)/i,/^(?:-)/i,/^(?:["])/i,/^(?:["])/i,/^(?:[^"]*)/i,/^(?:[\w][^:,\r\n\{\<\>\-\=]*)/i,/^(?:\w+)/i,/^(?:[0-9]+)/i,/^(?:,)/i],conditions:{acc_descr_multiline:{rules:[6,7,68,69,70],inclusive:!1},acc_descr:{rules:[4,68,69,70],inclusive:!1},acc_title:{rules:[2,68,69,70],inclusive:!1},style:{rules:[50,51,52,53,54,55,56,57,58,68,69,70],inclusive:!1},unqString:{rules:[68,69,70],inclusive:!1},token:{rules:[68,69,70],inclusive:!1},string:{rules:[65,66,68,69,70],inclusive:!1},INITIAL:{rules:[0,1,3,5,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,59,60,61,62,63,64,67,68,69,70],inclusive:!0}}};return _e})();qe.lexer=ze;function At(){this.yy={}}return v(At,"Parser"),At.prototype=qe,qe.Parser=At,new At})();dK.parser=dK;var c4t=dK,l4t=class{constructor(){this.relations=[],this.latestRequirement=this.getInitialRequirement(),this.requirements=new Map,this.latestElement=this.getInitialElement(),this.elements=new Map,this.classes=new Map,this.direction="TB",this.RequirementType={REQUIREMENT:"Requirement",FUNCTIONAL_REQUIREMENT:"Functional Requirement",INTERFACE_REQUIREMENT:"Interface Requirement",PERFORMANCE_REQUIREMENT:"Performance Requirement",PHYSICAL_REQUIREMENT:"Physical Requirement",DESIGN_CONSTRAINT:"Design Constraint"},this.RiskLevel={LOW_RISK:"Low",MED_RISK:"Medium",HIGH_RISK:"High"},this.VerifyType={VERIFY_ANALYSIS:"Analysis",VERIFY_DEMONSTRATION:"Demonstration",VERIFY_INSPECTION:"Inspection",VERIFY_TEST:"Test"},this.Relationships={CONTAINS:"contains",COPIES:"copies",DERIVES:"derives",SATISFIES:"satisfies",VERIFIES:"verifies",REFINES:"refines",TRACES:"traces"},this.setAccTitle=Yi,this.getAccTitle=cA,this.setAccDescription=lA,this.getAccDescription=dA,this.setDiagramTitle=QA,this.getDiagramTitle=zi,this.getConfig=v(()=>Xe().requirement,"getConfig"),this.clear(),this.setDirection=this.setDirection.bind(this),this.addRequirement=this.addRequirement.bind(this),this.setNewReqId=this.setNewReqId.bind(this),this.setNewReqRisk=this.setNewReqRisk.bind(this),this.setNewReqText=this.setNewReqText.bind(this),this.setNewReqVerifyMethod=this.setNewReqVerifyMethod.bind(this),this.addElement=this.addElement.bind(this),this.setNewElementType=this.setNewElementType.bind(this),this.setNewElementDocRef=this.setNewElementDocRef.bind(this),this.addRelationship=this.addRelationship.bind(this),this.setCssStyle=this.setCssStyle.bind(this),this.setClass=this.setClass.bind(this),this.defineClass=this.defineClass.bind(this),this.setAccTitle=this.setAccTitle.bind(this),this.setAccDescription=this.setAccDescription.bind(this)}static{v(this,"RequirementDB")}getDirection(){return this.direction}setDirection(t){this.direction=t}resetLatestRequirement(){this.latestRequirement=this.getInitialRequirement()}resetLatestElement(){this.latestElement=this.getInitialElement()}getInitialRequirement(){return{requirementId:"",text:"",risk:"",verifyMethod:"",name:"",type:"",cssStyles:[],classes:["default"]}}getInitialElement(){return{name:"",type:"",docRef:"",cssStyles:[],classes:["default"]}}addRequirement(t,e){return this.requirements.has(t)||this.requirements.set(t,{name:t,type:e,requirementId:this.latestRequirement.requirementId,text:this.latestRequirement.text,risk:this.latestRequirement.risk,verifyMethod:this.latestRequirement.verifyMethod,cssStyles:[],classes:["default"]}),this.resetLatestRequirement(),this.requirements.get(t)}getRequirements(){return this.requirements}setNewReqId(t){this.latestRequirement!==void 0&&(this.latestRequirement.requirementId=t)}setNewReqText(t){this.latestRequirement!==void 0&&(this.latestRequirement.text=t)}setNewReqRisk(t){this.latestRequirement!==void 0&&(this.latestRequirement.risk=t)}setNewReqVerifyMethod(t){this.latestRequirement!==void 0&&(this.latestRequirement.verifyMethod=t)}addElement(t){return this.elements.has(t)||(this.elements.set(t,{name:t,type:this.latestElement.type,docRef:this.latestElement.docRef,cssStyles:[],classes:["default"]}),Be.info("Added new element: ",t)),this.resetLatestElement(),this.elements.get(t)}getElements(){return this.elements}setNewElementType(t){this.latestElement!==void 0&&(this.latestElement.type=t)}setNewElementDocRef(t){this.latestElement!==void 0&&(this.latestElement.docRef=t)}addRelationship(t,e,n){this.relations.push({type:t,src:e,dst:n})}getRelationships(){return this.relations}clear(){this.relations=[],this.resetLatestRequirement(),this.requirements=new Map,this.resetLatestElement(),this.elements=new Map,this.classes=new Map,ji()}setCssStyle(t,e){for(const n of t){const a=this.requirements.get(n)??this.elements.get(n);if(!e||!a)return;for(const r of e)r.includes(",")?a.cssStyles.push(...r.split(",")):a.cssStyles.push(r)}}setClass(t,e){for(const n of t){const a=this.requirements.get(n)??this.elements.get(n);if(a)for(const r of e){a.classes.push(r);const i=this.classes.get(r)?.styles;i&&a.cssStyles.push(...i)}}}defineClass(t,e){for(const n of t){let a=this.classes.get(n);a===void 0&&(a={id:n,styles:[],textStyles:[]},this.classes.set(n,a)),e&&e.forEach(function(r){if(/color/.exec(r)){const i=r.replace("fill","bgFill");a.textStyles.push(i)}a.styles.push(r)}),this.requirements.forEach(r=>{r.classes.includes(n)&&r.cssStyles.push(...e.flatMap(i=>i.split(",")))}),this.elements.forEach(r=>{r.classes.includes(n)&&r.cssStyles.push(...e.flatMap(i=>i.split(",")))})}}getClasses(){return this.classes}getData(){const t=Xe(),e=[],n=[];for(const a of this.requirements.values()){const r=a;r.id=a.name,r.cssStyles=a.cssStyles,r.cssClasses=a.classes.join(" "),r.shape="requirementBox",r.look=t.look,e.push(r)}for(const a of this.elements.values()){const r=a;r.shape="requirementBox",r.look=t.look,r.id=a.name,r.cssStyles=a.cssStyles,r.cssClasses=a.classes.join(" "),e.push(r)}for(const a of this.relations){let r=0;const i=a.type===this.Relationships.CONTAINS,A={id:`${a.src}-${a.dst}-${r}`,start:this.requirements.get(a.src)?.name??this.elements.get(a.src)?.name,end:this.requirements.get(a.dst)?.name??this.elements.get(a.dst)?.name,label:`<<${a.type}>>`,classes:"relationshipLine",style:["fill:none",i?"":"stroke-dasharray: 10,7"],labelpos:"c",thickness:"normal",type:"normal",pattern:i?"normal":"dashed",arrowTypeStart:i?"requirement_contains":"",arrowTypeEnd:i?"":"requirement_arrow",look:t.look};n.push(A),r++}return{nodes:e,edges:n,other:{},config:t,direction:this.getDirection()}}},d4t=v(t=>` + + marker { + fill: ${t.relationColor}; + stroke: ${t.relationColor}; + } + + marker.cross { + stroke: ${t.lineColor}; + } + + svg { + font-family: ${t.fontFamily}; + font-size: ${t.fontSize}; + } + + .reqBox { + fill: ${t.requirementBackground}; + fill-opacity: 1.0; + stroke: ${t.requirementBorderColor}; + stroke-width: ${t.requirementBorderSize}; + } + + .reqTitle, .reqLabel{ + fill: ${t.requirementTextColor}; + } + .reqLabelBox { + fill: ${t.relationLabelBackground}; + fill-opacity: 1.0; + } + + .req-title-line { + stroke: ${t.requirementBorderColor}; + stroke-width: ${t.requirementBorderSize}; + } + .relationshipLine { + stroke: ${t.relationColor}; + stroke-width: 1; + } + .relationshipLabel { + fill: ${t.relationLabelColor}; + } + .divider { + stroke: ${t.nodeBorder}; + stroke-width: 1; + } + .label { + font-family: ${t.fontFamily}; + color: ${t.nodeTextColor||t.textColor}; + } + .label text,span { + fill: ${t.nodeTextColor||t.textColor}; + color: ${t.nodeTextColor||t.textColor}; + } + .labelBkg { + background-color: ${t.edgeLabelBackground}; + } + +`,"getStyles"),u4t=d4t,r_e={};C2(r_e,{draw:()=>g4t});var g4t=v(async function(t,e,n,a){Be.info("REF0:"),Be.info("Drawing requirement diagram (unified)",e);const{securityLevel:r,state:i,layout:A}=Xe(),o=a.db.getData(),s=AI(e,r);o.type=a.type,o.layoutAlgorithm=Ww(A),o.nodeSpacing=i?.nodeSpacing??50,o.rankSpacing=i?.rankSpacing??50,o.markers=["requirement_contains","requirement_arrow"],o.diagramId=e,await UE(o,s);const l=8;sa.insertTitle(s,"requirementDiagramTitleText",i?.titleTopMargin??25,a.db.getDiagramTitle()),xf(s,l,"requirementDiagram",i?.useMaxWidth??!0)},"draw"),p4t={parser:c4t,get db(){return new l4t},renderer:r_e,styles:u4t};const m4t=Object.freeze(Object.defineProperty({__proto__:null,diagram:p4t},Symbol.toStringTag,{value:"Module"}));var uK=(function(){var t=v(function(se,oe,Ae,pe){for(Ae=Ae||{},pe=se.length;pe--;Ae[se[pe]]=oe);return Ae},"o"),e=[1,2],n=[1,3],a=[1,4],r=[2,4],i=[1,9],A=[1,11],o=[1,13],s=[1,14],l=[1,16],d=[1,17],u=[1,18],g=[1,24],p=[1,25],m=[1,26],f=[1,27],b=[1,28],C=[1,29],I=[1,30],B=[1,31],w=[1,32],k=[1,33],_=[1,34],D=[1,35],x=[1,36],S=[1,37],F=[1,38],M=[1,39],O=[1,41],K=[1,42],R=[1,43],G=[1,44],T=[1,45],L=[1,46],U=[1,4,5,13,14,16,18,21,23,29,30,31,33,35,36,37,38,39,41,43,44,46,47,48,49,50,52,53,55,60,61,62,63,71],H=[2,71],q=[4,5,16,50,52,53],P=[4,5,13,14,16,18,21,23,29,30,31,33,35,36,37,38,39,41,43,44,46,50,52,53,55,60,61,62,63,71],j=[4,5,13,14,16,18,21,23,29,30,31,33,35,36,37,38,39,41,43,44,46,49,50,52,53,55,60,61,62,63,71],Z=[4,5,13,14,16,18,21,23,29,30,31,33,35,36,37,38,39,41,43,44,46,48,50,52,53,55,60,61,62,63,71],$=[4,5,13,14,16,18,21,23,29,30,31,33,35,36,37,38,39,41,43,44,46,47,50,52,53,55,60,61,62,63,71],X=[69,70,71],ce=[1,127],te={trace:v(function(){},"trace"),yy:{},symbols_:{error:2,start:3,SPACE:4,NEWLINE:5,SD:6,document:7,line:8,statement:9,box_section:10,box_line:11,participant_statement:12,create:13,box:14,restOfLine:15,end:16,signal:17,autonumber:18,NUM:19,off:20,activate:21,actor:22,deactivate:23,note_statement:24,links_statement:25,link_statement:26,properties_statement:27,details_statement:28,title:29,legacy_title:30,acc_title:31,acc_title_value:32,acc_descr:33,acc_descr_value:34,acc_descr_multiline_value:35,loop:36,rect:37,opt:38,alt:39,else_sections:40,par:41,par_sections:42,par_over:43,critical:44,option_sections:45,break:46,option:47,and:48,else:49,participant:50,AS:51,participant_actor:52,destroy:53,actor_with_config:54,note:55,placement:56,text2:57,over:58,actor_pair:59,links:60,link:61,properties:62,details:63,spaceList:64,",":65,left_of:66,right_of:67,signaltype:68,"+":69,"-":70,ACTOR:71,config_object:72,CONFIG_START:73,CONFIG_CONTENT:74,CONFIG_END:75,SOLID_OPEN_ARROW:76,DOTTED_OPEN_ARROW:77,SOLID_ARROW:78,BIDIRECTIONAL_SOLID_ARROW:79,DOTTED_ARROW:80,BIDIRECTIONAL_DOTTED_ARROW:81,SOLID_CROSS:82,DOTTED_CROSS:83,SOLID_POINT:84,DOTTED_POINT:85,TXT:86,$accept:0,$end:1},terminals_:{2:"error",4:"SPACE",5:"NEWLINE",6:"SD",13:"create",14:"box",15:"restOfLine",16:"end",18:"autonumber",19:"NUM",20:"off",21:"activate",23:"deactivate",29:"title",30:"legacy_title",31:"acc_title",32:"acc_title_value",33:"acc_descr",34:"acc_descr_value",35:"acc_descr_multiline_value",36:"loop",37:"rect",38:"opt",39:"alt",41:"par",43:"par_over",44:"critical",46:"break",47:"option",48:"and",49:"else",50:"participant",51:"AS",52:"participant_actor",53:"destroy",55:"note",58:"over",60:"links",61:"link",62:"properties",63:"details",65:",",66:"left_of",67:"right_of",69:"+",70:"-",71:"ACTOR",73:"CONFIG_START",74:"CONFIG_CONTENT",75:"CONFIG_END",76:"SOLID_OPEN_ARROW",77:"DOTTED_OPEN_ARROW",78:"SOLID_ARROW",79:"BIDIRECTIONAL_SOLID_ARROW",80:"DOTTED_ARROW",81:"BIDIRECTIONAL_DOTTED_ARROW",82:"SOLID_CROSS",83:"DOTTED_CROSS",84:"SOLID_POINT",85:"DOTTED_POINT",86:"TXT"},productions_:[0,[3,2],[3,2],[3,2],[7,0],[7,2],[8,2],[8,1],[8,1],[10,0],[10,2],[11,2],[11,1],[11,1],[9,1],[9,2],[9,4],[9,2],[9,4],[9,3],[9,3],[9,2],[9,3],[9,3],[9,2],[9,2],[9,2],[9,2],[9,2],[9,1],[9,1],[9,2],[9,2],[9,1],[9,4],[9,4],[9,4],[9,4],[9,4],[9,4],[9,4],[9,4],[45,1],[45,4],[42,1],[42,4],[40,1],[40,4],[12,5],[12,3],[12,5],[12,3],[12,3],[12,3],[24,4],[24,4],[25,3],[26,3],[27,3],[28,3],[64,2],[64,1],[59,3],[59,1],[56,1],[56,1],[17,5],[17,5],[17,4],[54,2],[72,3],[22,1],[68,1],[68,1],[68,1],[68,1],[68,1],[68,1],[68,1],[68,1],[68,1],[68,1],[57,1]],performAction:v(function(oe,Ae,pe,le,ke,me,He){var ie=me.length-1;switch(ke){case 3:return le.apply(me[ie]),me[ie];case 4:case 9:this.$=[];break;case 5:case 10:me[ie-1].push(me[ie]),this.$=me[ie-1];break;case 6:case 7:case 11:case 12:this.$=me[ie];break;case 8:case 13:this.$=[];break;case 15:me[ie].type="createParticipant",this.$=me[ie];break;case 16:me[ie-1].unshift({type:"boxStart",boxData:le.parseBoxData(me[ie-2])}),me[ie-1].push({type:"boxEnd",boxText:me[ie-2]}),this.$=me[ie-1];break;case 18:this.$={type:"sequenceIndex",sequenceIndex:Number(me[ie-2]),sequenceIndexStep:Number(me[ie-1]),sequenceVisible:!0,signalType:le.LINETYPE.AUTONUMBER};break;case 19:this.$={type:"sequenceIndex",sequenceIndex:Number(me[ie-1]),sequenceIndexStep:1,sequenceVisible:!0,signalType:le.LINETYPE.AUTONUMBER};break;case 20:this.$={type:"sequenceIndex",sequenceVisible:!1,signalType:le.LINETYPE.AUTONUMBER};break;case 21:this.$={type:"sequenceIndex",sequenceVisible:!0,signalType:le.LINETYPE.AUTONUMBER};break;case 22:this.$={type:"activeStart",signalType:le.LINETYPE.ACTIVE_START,actor:me[ie-1].actor};break;case 23:this.$={type:"activeEnd",signalType:le.LINETYPE.ACTIVE_END,actor:me[ie-1].actor};break;case 29:le.setDiagramTitle(me[ie].substring(6)),this.$=me[ie].substring(6);break;case 30:le.setDiagramTitle(me[ie].substring(7)),this.$=me[ie].substring(7);break;case 31:this.$=me[ie].trim(),le.setAccTitle(this.$);break;case 32:case 33:this.$=me[ie].trim(),le.setAccDescription(this.$);break;case 34:me[ie-1].unshift({type:"loopStart",loopText:le.parseMessage(me[ie-2]),signalType:le.LINETYPE.LOOP_START}),me[ie-1].push({type:"loopEnd",loopText:me[ie-2],signalType:le.LINETYPE.LOOP_END}),this.$=me[ie-1];break;case 35:me[ie-1].unshift({type:"rectStart",color:le.parseMessage(me[ie-2]),signalType:le.LINETYPE.RECT_START}),me[ie-1].push({type:"rectEnd",color:le.parseMessage(me[ie-2]),signalType:le.LINETYPE.RECT_END}),this.$=me[ie-1];break;case 36:me[ie-1].unshift({type:"optStart",optText:le.parseMessage(me[ie-2]),signalType:le.LINETYPE.OPT_START}),me[ie-1].push({type:"optEnd",optText:le.parseMessage(me[ie-2]),signalType:le.LINETYPE.OPT_END}),this.$=me[ie-1];break;case 37:me[ie-1].unshift({type:"altStart",altText:le.parseMessage(me[ie-2]),signalType:le.LINETYPE.ALT_START}),me[ie-1].push({type:"altEnd",signalType:le.LINETYPE.ALT_END}),this.$=me[ie-1];break;case 38:me[ie-1].unshift({type:"parStart",parText:le.parseMessage(me[ie-2]),signalType:le.LINETYPE.PAR_START}),me[ie-1].push({type:"parEnd",signalType:le.LINETYPE.PAR_END}),this.$=me[ie-1];break;case 39:me[ie-1].unshift({type:"parStart",parText:le.parseMessage(me[ie-2]),signalType:le.LINETYPE.PAR_OVER_START}),me[ie-1].push({type:"parEnd",signalType:le.LINETYPE.PAR_END}),this.$=me[ie-1];break;case 40:me[ie-1].unshift({type:"criticalStart",criticalText:le.parseMessage(me[ie-2]),signalType:le.LINETYPE.CRITICAL_START}),me[ie-1].push({type:"criticalEnd",signalType:le.LINETYPE.CRITICAL_END}),this.$=me[ie-1];break;case 41:me[ie-1].unshift({type:"breakStart",breakText:le.parseMessage(me[ie-2]),signalType:le.LINETYPE.BREAK_START}),me[ie-1].push({type:"breakEnd",optText:le.parseMessage(me[ie-2]),signalType:le.LINETYPE.BREAK_END}),this.$=me[ie-1];break;case 43:this.$=me[ie-3].concat([{type:"option",optionText:le.parseMessage(me[ie-1]),signalType:le.LINETYPE.CRITICAL_OPTION},me[ie]]);break;case 45:this.$=me[ie-3].concat([{type:"and",parText:le.parseMessage(me[ie-1]),signalType:le.LINETYPE.PAR_AND},me[ie]]);break;case 47:this.$=me[ie-3].concat([{type:"else",altText:le.parseMessage(me[ie-1]),signalType:le.LINETYPE.ALT_ELSE},me[ie]]);break;case 48:me[ie-3].draw="participant",me[ie-3].type="addParticipant",me[ie-3].description=le.parseMessage(me[ie-1]),this.$=me[ie-3];break;case 49:me[ie-1].draw="participant",me[ie-1].type="addParticipant",this.$=me[ie-1];break;case 50:me[ie-3].draw="actor",me[ie-3].type="addParticipant",me[ie-3].description=le.parseMessage(me[ie-1]),this.$=me[ie-3];break;case 51:me[ie-1].draw="actor",me[ie-1].type="addParticipant",this.$=me[ie-1];break;case 52:me[ie-1].type="destroyParticipant",this.$=me[ie-1];break;case 53:me[ie-1].draw="participant",me[ie-1].type="addParticipant",this.$=me[ie-1];break;case 54:this.$=[me[ie-1],{type:"addNote",placement:me[ie-2],actor:me[ie-1].actor,text:me[ie]}];break;case 55:me[ie-2]=[].concat(me[ie-1],me[ie-1]).slice(0,2),me[ie-2][0]=me[ie-2][0].actor,me[ie-2][1]=me[ie-2][1].actor,this.$=[me[ie-1],{type:"addNote",placement:le.PLACEMENT.OVER,actor:me[ie-2].slice(0,2),text:me[ie]}];break;case 56:this.$=[me[ie-1],{type:"addLinks",actor:me[ie-1].actor,text:me[ie]}];break;case 57:this.$=[me[ie-1],{type:"addALink",actor:me[ie-1].actor,text:me[ie]}];break;case 58:this.$=[me[ie-1],{type:"addProperties",actor:me[ie-1].actor,text:me[ie]}];break;case 59:this.$=[me[ie-1],{type:"addDetails",actor:me[ie-1].actor,text:me[ie]}];break;case 62:this.$=[me[ie-2],me[ie]];break;case 63:this.$=me[ie];break;case 64:this.$=le.PLACEMENT.LEFTOF;break;case 65:this.$=le.PLACEMENT.RIGHTOF;break;case 66:this.$=[me[ie-4],me[ie-1],{type:"addMessage",from:me[ie-4].actor,to:me[ie-1].actor,signalType:me[ie-3],msg:me[ie],activate:!0},{type:"activeStart",signalType:le.LINETYPE.ACTIVE_START,actor:me[ie-1].actor}];break;case 67:this.$=[me[ie-4],me[ie-1],{type:"addMessage",from:me[ie-4].actor,to:me[ie-1].actor,signalType:me[ie-3],msg:me[ie]},{type:"activeEnd",signalType:le.LINETYPE.ACTIVE_END,actor:me[ie-4].actor}];break;case 68:this.$=[me[ie-3],me[ie-1],{type:"addMessage",from:me[ie-3].actor,to:me[ie-1].actor,signalType:me[ie-2],msg:me[ie]}];break;case 69:this.$={type:"addParticipant",actor:me[ie-1],config:me[ie]};break;case 70:this.$=me[ie-1].trim();break;case 71:this.$={type:"addParticipant",actor:me[ie]};break;case 72:this.$=le.LINETYPE.SOLID_OPEN;break;case 73:this.$=le.LINETYPE.DOTTED_OPEN;break;case 74:this.$=le.LINETYPE.SOLID;break;case 75:this.$=le.LINETYPE.BIDIRECTIONAL_SOLID;break;case 76:this.$=le.LINETYPE.DOTTED;break;case 77:this.$=le.LINETYPE.BIDIRECTIONAL_DOTTED;break;case 78:this.$=le.LINETYPE.SOLID_CROSS;break;case 79:this.$=le.LINETYPE.DOTTED_CROSS;break;case 80:this.$=le.LINETYPE.SOLID_POINT;break;case 81:this.$=le.LINETYPE.DOTTED_POINT;break;case 82:this.$=le.parseMessage(me[ie].trim().substring(1));break}},"anonymous"),table:[{3:1,4:e,5:n,6:a},{1:[3]},{3:5,4:e,5:n,6:a},{3:6,4:e,5:n,6:a},t([1,4,5,13,14,18,21,23,29,30,31,33,35,36,37,38,39,41,43,44,46,50,52,53,55,60,61,62,63,71],r,{7:7}),{1:[2,1]},{1:[2,2]},{1:[2,3],4:i,5:A,8:8,9:10,12:12,13:o,14:s,17:15,18:l,21:d,22:40,23:u,24:19,25:20,26:21,27:22,28:23,29:g,30:p,31:m,33:f,35:b,36:C,37:I,38:B,39:w,41:k,43:_,44:D,46:x,50:S,52:F,53:M,55:O,60:K,61:R,62:G,63:T,71:L},t(U,[2,5]),{9:47,12:12,13:o,14:s,17:15,18:l,21:d,22:40,23:u,24:19,25:20,26:21,27:22,28:23,29:g,30:p,31:m,33:f,35:b,36:C,37:I,38:B,39:w,41:k,43:_,44:D,46:x,50:S,52:F,53:M,55:O,60:K,61:R,62:G,63:T,71:L},t(U,[2,7]),t(U,[2,8]),t(U,[2,14]),{12:48,50:S,52:F,53:M},{15:[1,49]},{5:[1,50]},{5:[1,53],19:[1,51],20:[1,52]},{22:54,71:L},{22:55,71:L},{5:[1,56]},{5:[1,57]},{5:[1,58]},{5:[1,59]},{5:[1,60]},t(U,[2,29]),t(U,[2,30]),{32:[1,61]},{34:[1,62]},t(U,[2,33]),{15:[1,63]},{15:[1,64]},{15:[1,65]},{15:[1,66]},{15:[1,67]},{15:[1,68]},{15:[1,69]},{15:[1,70]},{22:71,54:72,71:[1,73]},{22:74,71:L},{22:75,71:L},{68:76,76:[1,77],77:[1,78],78:[1,79],79:[1,80],80:[1,81],81:[1,82],82:[1,83],83:[1,84],84:[1,85],85:[1,86]},{56:87,58:[1,88],66:[1,89],67:[1,90]},{22:91,71:L},{22:92,71:L},{22:93,71:L},{22:94,71:L},t([5,51,65,76,77,78,79,80,81,82,83,84,85,86],H),t(U,[2,6]),t(U,[2,15]),t(q,[2,9],{10:95}),t(U,[2,17]),{5:[1,97],19:[1,96]},{5:[1,98]},t(U,[2,21]),{5:[1,99]},{5:[1,100]},t(U,[2,24]),t(U,[2,25]),t(U,[2,26]),t(U,[2,27]),t(U,[2,28]),t(U,[2,31]),t(U,[2,32]),t(P,r,{7:101}),t(P,r,{7:102}),t(P,r,{7:103}),t(j,r,{40:104,7:105}),t(Z,r,{42:106,7:107}),t(Z,r,{7:107,42:108}),t($,r,{45:109,7:110}),t(P,r,{7:111}),{5:[1,113],51:[1,112]},{5:[1,114]},t([5,51],H,{72:115,73:[1,116]}),{5:[1,118],51:[1,117]},{5:[1,119]},{22:122,69:[1,120],70:[1,121],71:L},t(X,[2,72]),t(X,[2,73]),t(X,[2,74]),t(X,[2,75]),t(X,[2,76]),t(X,[2,77]),t(X,[2,78]),t(X,[2,79]),t(X,[2,80]),t(X,[2,81]),{22:123,71:L},{22:125,59:124,71:L},{71:[2,64]},{71:[2,65]},{57:126,86:ce},{57:128,86:ce},{57:129,86:ce},{57:130,86:ce},{4:[1,133],5:[1,135],11:132,12:134,16:[1,131],50:S,52:F,53:M},{5:[1,136]},t(U,[2,19]),t(U,[2,20]),t(U,[2,22]),t(U,[2,23]),{4:i,5:A,8:8,9:10,12:12,13:o,14:s,16:[1,137],17:15,18:l,21:d,22:40,23:u,24:19,25:20,26:21,27:22,28:23,29:g,30:p,31:m,33:f,35:b,36:C,37:I,38:B,39:w,41:k,43:_,44:D,46:x,50:S,52:F,53:M,55:O,60:K,61:R,62:G,63:T,71:L},{4:i,5:A,8:8,9:10,12:12,13:o,14:s,16:[1,138],17:15,18:l,21:d,22:40,23:u,24:19,25:20,26:21,27:22,28:23,29:g,30:p,31:m,33:f,35:b,36:C,37:I,38:B,39:w,41:k,43:_,44:D,46:x,50:S,52:F,53:M,55:O,60:K,61:R,62:G,63:T,71:L},{4:i,5:A,8:8,9:10,12:12,13:o,14:s,16:[1,139],17:15,18:l,21:d,22:40,23:u,24:19,25:20,26:21,27:22,28:23,29:g,30:p,31:m,33:f,35:b,36:C,37:I,38:B,39:w,41:k,43:_,44:D,46:x,50:S,52:F,53:M,55:O,60:K,61:R,62:G,63:T,71:L},{16:[1,140]},{4:i,5:A,8:8,9:10,12:12,13:o,14:s,16:[2,46],17:15,18:l,21:d,22:40,23:u,24:19,25:20,26:21,27:22,28:23,29:g,30:p,31:m,33:f,35:b,36:C,37:I,38:B,39:w,41:k,43:_,44:D,46:x,49:[1,141],50:S,52:F,53:M,55:O,60:K,61:R,62:G,63:T,71:L},{16:[1,142]},{4:i,5:A,8:8,9:10,12:12,13:o,14:s,16:[2,44],17:15,18:l,21:d,22:40,23:u,24:19,25:20,26:21,27:22,28:23,29:g,30:p,31:m,33:f,35:b,36:C,37:I,38:B,39:w,41:k,43:_,44:D,46:x,48:[1,143],50:S,52:F,53:M,55:O,60:K,61:R,62:G,63:T,71:L},{16:[1,144]},{16:[1,145]},{4:i,5:A,8:8,9:10,12:12,13:o,14:s,16:[2,42],17:15,18:l,21:d,22:40,23:u,24:19,25:20,26:21,27:22,28:23,29:g,30:p,31:m,33:f,35:b,36:C,37:I,38:B,39:w,41:k,43:_,44:D,46:x,47:[1,146],50:S,52:F,53:M,55:O,60:K,61:R,62:G,63:T,71:L},{4:i,5:A,8:8,9:10,12:12,13:o,14:s,16:[1,147],17:15,18:l,21:d,22:40,23:u,24:19,25:20,26:21,27:22,28:23,29:g,30:p,31:m,33:f,35:b,36:C,37:I,38:B,39:w,41:k,43:_,44:D,46:x,50:S,52:F,53:M,55:O,60:K,61:R,62:G,63:T,71:L},{15:[1,148]},t(U,[2,49]),t(U,[2,53]),{5:[2,69]},{74:[1,149]},{15:[1,150]},t(U,[2,51]),t(U,[2,52]),{22:151,71:L},{22:152,71:L},{57:153,86:ce},{57:154,86:ce},{57:155,86:ce},{65:[1,156],86:[2,63]},{5:[2,56]},{5:[2,82]},{5:[2,57]},{5:[2,58]},{5:[2,59]},t(U,[2,16]),t(q,[2,10]),{12:157,50:S,52:F,53:M},t(q,[2,12]),t(q,[2,13]),t(U,[2,18]),t(U,[2,34]),t(U,[2,35]),t(U,[2,36]),t(U,[2,37]),{15:[1,158]},t(U,[2,38]),{15:[1,159]},t(U,[2,39]),t(U,[2,40]),{15:[1,160]},t(U,[2,41]),{5:[1,161]},{75:[1,162]},{5:[1,163]},{57:164,86:ce},{57:165,86:ce},{5:[2,68]},{5:[2,54]},{5:[2,55]},{22:166,71:L},t(q,[2,11]),t(j,r,{7:105,40:167}),t(Z,r,{7:107,42:168}),t($,r,{7:110,45:169}),t(U,[2,48]),{5:[2,70]},t(U,[2,50]),{5:[2,66]},{5:[2,67]},{86:[2,62]},{16:[2,47]},{16:[2,45]},{16:[2,43]}],defaultActions:{5:[2,1],6:[2,2],89:[2,64],90:[2,65],115:[2,69],126:[2,56],127:[2,82],128:[2,57],129:[2,58],130:[2,59],153:[2,68],154:[2,54],155:[2,55],162:[2,70],164:[2,66],165:[2,67],166:[2,62],167:[2,47],168:[2,45],169:[2,43]},parseError:v(function(oe,Ae){if(Ae.recoverable)this.trace(oe);else{var pe=new Error(oe);throw pe.hash=Ae,pe}},"parseError"),parse:v(function(oe){var Ae=this,pe=[0],le=[],ke=[null],me=[],He=this.table,ie="",Ze=0,ve=0,at=2,rt=1,ct=me.slice.call(arguments,1),Oe=Object.create(this.lexer),st={yy:{}};for(var qe in this.yy)Object.prototype.hasOwnProperty.call(this.yy,qe)&&(st.yy[qe]=this.yy[qe]);Oe.setInput(oe,st.yy),st.yy.lexer=Oe,st.yy.parser=this,typeof Oe.yylloc>"u"&&(Oe.yylloc={});var ze=Oe.yylloc;me.push(ze);var At=Oe.options&&Oe.options.ranges;typeof st.yy.parseError=="function"?this.parseError=st.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;function _e(We){pe.length=pe.length-2*We,ke.length=ke.length-We,me.length=me.length-We}v(_e,"popStack");function et(){var We;return We=le.pop()||Oe.lex()||rt,typeof We!="number"&&(We instanceof Array&&(le=We,We=le.pop()),We=Ae.symbols_[We]||We),We}v(et,"lex");for(var fe,De,V,ye,Ce={},Ne,Me,Ue,Ee;;){if(De=pe[pe.length-1],this.defaultActions[De]?V=this.defaultActions[De]:((fe===null||typeof fe>"u")&&(fe=et()),V=He[De]&&He[De][fe]),typeof V>"u"||!V.length||!V[0]){var xe="";Ee=[];for(Ne in He[De])this.terminals_[Ne]&&Ne>at&&Ee.push("'"+this.terminals_[Ne]+"'");Oe.showPosition?xe="Parse error on line "+(Ze+1)+`: +`+Oe.showPosition()+` +Expecting `+Ee.join(", ")+", got '"+(this.terminals_[fe]||fe)+"'":xe="Parse error on line "+(Ze+1)+": Unexpected "+(fe==rt?"end of input":"'"+(this.terminals_[fe]||fe)+"'"),this.parseError(xe,{text:Oe.match,token:this.terminals_[fe]||fe,line:Oe.yylineno,loc:ze,expected:Ee})}if(V[0]instanceof Array&&V.length>1)throw new Error("Parse Error: multiple actions possible at state: "+De+", token: "+fe);switch(V[0]){case 1:pe.push(fe),ke.push(Oe.yytext),me.push(Oe.yylloc),pe.push(V[1]),fe=null,ve=Oe.yyleng,ie=Oe.yytext,Ze=Oe.yylineno,ze=Oe.yylloc;break;case 2:if(Me=this.productions_[V[1]][1],Ce.$=ke[ke.length-Me],Ce._$={first_line:me[me.length-(Me||1)].first_line,last_line:me[me.length-1].last_line,first_column:me[me.length-(Me||1)].first_column,last_column:me[me.length-1].last_column},At&&(Ce._$.range=[me[me.length-(Me||1)].range[0],me[me.length-1].range[1]]),ye=this.performAction.apply(Ce,[ie,ve,Ze,st.yy,V[1],ke,me].concat(ct)),typeof ye<"u")return ye;Me&&(pe=pe.slice(0,-1*Me*2),ke=ke.slice(0,-1*Me),me=me.slice(0,-1*Me)),pe.push(this.productions_[V[1]][0]),ke.push(Ce.$),me.push(Ce._$),Ue=He[pe[pe.length-2]][pe[pe.length-1]],pe.push(Ue);break;case 3:return!0}}return!0},"parse")},he=(function(){var se={EOF:1,parseError:v(function(Ae,pe){if(this.yy.parser)this.yy.parser.parseError(Ae,pe);else throw new Error(Ae)},"parseError"),setInput:v(function(oe,Ae){return this.yy=Ae||this.yy||{},this._input=oe,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},"setInput"),input:v(function(){var oe=this._input[0];this.yytext+=oe,this.yyleng++,this.offset++,this.match+=oe,this.matched+=oe;var Ae=oe.match(/(?:\r\n?|\n).*/g);return Ae?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),oe},"input"),unput:v(function(oe){var Ae=oe.length,pe=oe.split(/(?:\r\n?|\n)/g);this._input=oe+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-Ae),this.offset-=Ae;var le=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),pe.length-1&&(this.yylineno-=pe.length-1);var ke=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:pe?(pe.length===le.length?this.yylloc.first_column:0)+le[le.length-pe.length].length-pe[0].length:this.yylloc.first_column-Ae},this.options.ranges&&(this.yylloc.range=[ke[0],ke[0]+this.yyleng-Ae]),this.yyleng=this.yytext.length,this},"unput"),more:v(function(){return this._more=!0,this},"more"),reject:v(function(){if(this.options.backtrack_lexer)this._backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+`. You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true). +`+this.showPosition(),{text:"",token:null,line:this.yylineno});return this},"reject"),less:v(function(oe){this.unput(this.match.slice(oe))},"less"),pastInput:v(function(){var oe=this.matched.substr(0,this.matched.length-this.match.length);return(oe.length>20?"...":"")+oe.substr(-20).replace(/\n/g,"")},"pastInput"),upcomingInput:v(function(){var oe=this.match;return oe.length<20&&(oe+=this._input.substr(0,20-oe.length)),(oe.substr(0,20)+(oe.length>20?"...":"")).replace(/\n/g,"")},"upcomingInput"),showPosition:v(function(){var oe=this.pastInput(),Ae=new Array(oe.length+1).join("-");return oe+this.upcomingInput()+` +`+Ae+"^"},"showPosition"),test_match:v(function(oe,Ae){var pe,le,ke;if(this.options.backtrack_lexer&&(ke={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(ke.yylloc.range=this.yylloc.range.slice(0))),le=oe[0].match(/(?:\r\n?|\n).*/g),le&&(this.yylineno+=le.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:le?le[le.length-1].length-le[le.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+oe[0].length},this.yytext+=oe[0],this.match+=oe[0],this.matches=oe,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(oe[0].length),this.matched+=oe[0],pe=this.performAction.call(this,this.yy,this,Ae,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),pe)return pe;if(this._backtrack){for(var me in ke)this[me]=ke[me];return!1}return!1},"test_match"),next:v(function(){if(this.done)return this.EOF;this._input||(this.done=!0);var oe,Ae,pe,le;this._more||(this.yytext="",this.match="");for(var ke=this._currentRules(),me=0;meAe[0].length)){if(Ae=pe,le=me,this.options.backtrack_lexer){if(oe=this.test_match(pe,ke[me]),oe!==!1)return oe;if(this._backtrack){Ae=!1;continue}else return!1}else if(!this.options.flex)break}return Ae?(oe=this.test_match(Ae,ke[le]),oe!==!1?oe:!1):this._input===""?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+`. Unrecognized text. +`+this.showPosition(),{text:"",token:null,line:this.yylineno})},"next"),lex:v(function(){var Ae=this.next();return Ae||this.lex()},"lex"),begin:v(function(Ae){this.conditionStack.push(Ae)},"begin"),popState:v(function(){var Ae=this.conditionStack.length-1;return Ae>0?this.conditionStack.pop():this.conditionStack[0]},"popState"),_currentRules:v(function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},"_currentRules"),topState:v(function(Ae){return Ae=this.conditionStack.length-1-Math.abs(Ae||0),Ae>=0?this.conditionStack[Ae]:"INITIAL"},"topState"),pushState:v(function(Ae){this.begin(Ae)},"pushState"),stateStackSize:v(function(){return this.conditionStack.length},"stateStackSize"),options:{"case-insensitive":!0},performAction:v(function(Ae,pe,le,ke){switch(le){case 0:return 5;case 1:break;case 2:break;case 3:break;case 4:break;case 5:break;case 6:return 19;case 7:return this.begin("CONFIG"),73;case 8:return 74;case 9:return this.popState(),this.popState(),75;case 10:return pe.yytext=pe.yytext.trim(),71;case 11:return pe.yytext=pe.yytext.trim(),this.begin("ALIAS"),71;case 12:return this.begin("LINE"),14;case 13:return this.begin("ID"),50;case 14:return this.begin("ID"),52;case 15:return 13;case 16:return this.begin("ID"),53;case 17:return pe.yytext=pe.yytext.trim(),this.begin("ALIAS"),71;case 18:return this.popState(),this.popState(),this.begin("LINE"),51;case 19:return this.popState(),this.popState(),5;case 20:return this.begin("LINE"),36;case 21:return this.begin("LINE"),37;case 22:return this.begin("LINE"),38;case 23:return this.begin("LINE"),39;case 24:return this.begin("LINE"),49;case 25:return this.begin("LINE"),41;case 26:return this.begin("LINE"),43;case 27:return this.begin("LINE"),48;case 28:return this.begin("LINE"),44;case 29:return this.begin("LINE"),47;case 30:return this.begin("LINE"),46;case 31:return this.popState(),15;case 32:return 16;case 33:return 66;case 34:return 67;case 35:return 60;case 36:return 61;case 37:return 62;case 38:return 63;case 39:return 58;case 40:return 55;case 41:return this.begin("ID"),21;case 42:return this.begin("ID"),23;case 43:return 29;case 44:return 30;case 45:return this.begin("acc_title"),31;case 46:return this.popState(),"acc_title_value";case 47:return this.begin("acc_descr"),33;case 48:return this.popState(),"acc_descr_value";case 49:this.begin("acc_descr_multiline");break;case 50:this.popState();break;case 51:return"acc_descr_multiline_value";case 52:return 6;case 53:return 18;case 54:return 20;case 55:return 65;case 56:return 5;case 57:return pe.yytext=pe.yytext.trim(),71;case 58:return 78;case 59:return 79;case 60:return 80;case 61:return 81;case 62:return 76;case 63:return 77;case 64:return 82;case 65:return 83;case 66:return 84;case 67:return 85;case 68:return 86;case 69:return 86;case 70:return 69;case 71:return 70;case 72:return 5;case 73:return"INVALID"}},"anonymous"),rules:[/^(?:[\n]+)/i,/^(?:\s+)/i,/^(?:((?!\n)\s)+)/i,/^(?:#[^\n]*)/i,/^(?:%(?!\{)[^\n]*)/i,/^(?:[^\}]%%[^\n]*)/i,/^(?:[0-9]+(?=[ \n]+))/i,/^(?:@\{)/i,/^(?:[^\}]+)/i,/^(?:\})/i,/^(?:[^\<->\->:\n,;@\s]+(?=@\{))/i,/^(?:[^\<->\->:\n,;@]+?([\-]*[^\<->\->:\n,;@]+?)*?(?=((?!\n)\s)+as(?!\n)\s|[#\n;]|$))/i,/^(?:box\b)/i,/^(?:participant\b)/i,/^(?:actor\b)/i,/^(?:create\b)/i,/^(?:destroy\b)/i,/^(?:[^<\->\->:\n,;]+?([\-]*[^<\->\->:\n,;]+?)*?(?=((?!\n)\s)+as(?!\n)\s|[#\n;]|$))/i,/^(?:as\b)/i,/^(?:(?:))/i,/^(?:loop\b)/i,/^(?:rect\b)/i,/^(?:opt\b)/i,/^(?:alt\b)/i,/^(?:else\b)/i,/^(?:par\b)/i,/^(?:par_over\b)/i,/^(?:and\b)/i,/^(?:critical\b)/i,/^(?:option\b)/i,/^(?:break\b)/i,/^(?:(?:[:]?(?:no)?wrap)?[^#\n;]*)/i,/^(?:end\b)/i,/^(?:left of\b)/i,/^(?:right of\b)/i,/^(?:links\b)/i,/^(?:link\b)/i,/^(?:properties\b)/i,/^(?:details\b)/i,/^(?:over\b)/i,/^(?:note\b)/i,/^(?:activate\b)/i,/^(?:deactivate\b)/i,/^(?:title\s[^#\n;]+)/i,/^(?:title:\s[^#\n;]+)/i,/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?:sequenceDiagram\b)/i,/^(?:autonumber\b)/i,/^(?:off\b)/i,/^(?:,)/i,/^(?:;)/i,/^(?:[^+<\->\->:\n,;]+((?!(-x|--x|-\)|--\)))[\-]*[^\+<\->\->:\n,;]+)*)/i,/^(?:->>)/i,/^(?:<<->>)/i,/^(?:-->>)/i,/^(?:<<-->>)/i,/^(?:->)/i,/^(?:-->)/i,/^(?:-[x])/i,/^(?:--[x])/i,/^(?:-[\)])/i,/^(?:--[\)])/i,/^(?::(?:(?:no)?wrap)?[^#\n;]*)/i,/^(?::)/i,/^(?:\+)/i,/^(?:-)/i,/^(?:$)/i,/^(?:.)/i],conditions:{acc_descr_multiline:{rules:[50,51],inclusive:!1},acc_descr:{rules:[48],inclusive:!1},acc_title:{rules:[46],inclusive:!1},ID:{rules:[2,3,7,10,11,17],inclusive:!1},ALIAS:{rules:[2,3,18,19],inclusive:!1},LINE:{rules:[2,3,31],inclusive:!1},CONFIG:{rules:[8,9],inclusive:!1},CONFIG_DATA:{rules:[],inclusive:!1},INITIAL:{rules:[0,1,3,4,5,6,12,13,14,15,16,20,21,22,23,24,25,26,27,28,29,30,32,33,34,35,36,37,38,39,40,41,42,43,44,45,47,49,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73],inclusive:!0}}};return se})();te.lexer=he;function ae(){this.yy={}}return v(ae,"Parser"),ae.prototype=te,te.Parser=ae,new ae})();uK.parser=uK;var h4t=uK,f4t={SOLID:0,DOTTED:1,NOTE:2,SOLID_CROSS:3,DOTTED_CROSS:4,SOLID_OPEN:5,DOTTED_OPEN:6,LOOP_START:10,LOOP_END:11,ALT_START:12,ALT_ELSE:13,ALT_END:14,OPT_START:15,OPT_END:16,ACTIVE_START:17,ACTIVE_END:18,PAR_START:19,PAR_AND:20,PAR_END:21,RECT_START:22,RECT_END:23,SOLID_POINT:24,DOTTED_POINT:25,AUTONUMBER:26,CRITICAL_START:27,CRITICAL_OPTION:28,CRITICAL_END:29,BREAK_START:30,BREAK_END:31,PAR_OVER_START:32,BIDIRECTIONAL_SOLID:33,BIDIRECTIONAL_DOTTED:34},b4t={FILLED:0,OPEN:1},C4t={LEFTOF:0,RIGHTOF:1,OVER:2},jD={ACTOR:"actor",CONTROL:"control",DATABASE:"database",ENTITY:"entity"},E4t=class{constructor(){this.state=new TDe(()=>({prevActor:void 0,actors:new Map,createdActors:new Map,destroyedActors:new Map,boxes:[],messages:[],notes:[],sequenceNumbersEnabled:!1,wrapEnabled:void 0,currentBox:void 0,lastCreated:void 0,lastDestroyed:void 0})),this.setAccTitle=Yi,this.setAccDescription=lA,this.setDiagramTitle=QA,this.getAccTitle=cA,this.getAccDescription=dA,this.getDiagramTitle=zi,this.apply=this.apply.bind(this),this.parseBoxData=this.parseBoxData.bind(this),this.parseMessage=this.parseMessage.bind(this),this.clear(),this.setWrap(Xe().wrap),this.LINETYPE=f4t,this.ARROWTYPE=b4t,this.PLACEMENT=C4t}static{v(this,"SequenceDB")}addBox(t){this.state.records.boxes.push({name:t.text,wrap:t.wrap??this.autoWrap(),fill:t.color,actorKeys:[]}),this.state.records.currentBox=this.state.records.boxes.slice(-1)[0]}addActor(t,e,n,a,r){let i=this.state.records.currentBox,A;if(r!==void 0){let s;r.includes(` +`)?s=r+` +`:s=`{ +`+r+` +}`,A=T2(s,{schema:L2})}a=A?.type??a;const o=this.state.records.actors.get(t);if(o){if(this.state.records.currentBox&&o.box&&this.state.records.currentBox!==o.box)throw new Error(`A same participant should only be defined in one Box: ${o.name} can't be in '${o.box.name}' and in '${this.state.records.currentBox.name}' at the same time.`);if(i=o.box?o.box:this.state.records.currentBox,o.box=i,o&&e===o.name&&n==null)return}if(n?.text==null&&(n={text:e,type:a}),(a==null||n.text==null)&&(n={text:e,type:a}),this.state.records.actors.set(t,{box:i,name:e,description:n.text,wrap:n.wrap??this.autoWrap(),prevActor:this.state.records.prevActor,links:{},properties:{},actorCnt:null,rectData:null,type:a??"participant"}),this.state.records.prevActor){const s=this.state.records.actors.get(this.state.records.prevActor);s&&(s.nextActor=t)}this.state.records.currentBox&&this.state.records.currentBox.actorKeys.push(t),this.state.records.prevActor=t}activationCount(t){let e,n=0;if(!t)return 0;for(e=0;e>-",token:"->>-",line:"1",loc:{first_line:1,last_line:1,first_column:1,last_column:1},expected:["'ACTIVE_PARTICIPANT'"]},A}return this.state.records.messages.push({id:this.state.records.messages.length.toString(),from:t,to:e,message:n?.text??"",wrap:n?.wrap??this.autoWrap(),type:a,activate:r}),!0}hasAtLeastOneBox(){return this.state.records.boxes.length>0}hasAtLeastOneBoxWithTitle(){return this.state.records.boxes.some(t=>t.name)}getMessages(){return this.state.records.messages}getBoxes(){return this.state.records.boxes}getActors(){return this.state.records.actors}getCreatedActors(){return this.state.records.createdActors}getDestroyedActors(){return this.state.records.destroyedActors}getActor(t){return this.state.records.actors.get(t)}getActorKeys(){return[...this.state.records.actors.keys()]}enableSequenceNumbers(){this.state.records.sequenceNumbersEnabled=!0}disableSequenceNumbers(){this.state.records.sequenceNumbersEnabled=!1}showSequenceNumbers(){return this.state.records.sequenceNumbersEnabled}setWrap(t){this.state.records.wrapEnabled=t}extractWrap(t){if(t===void 0)return{};t=t.trim();const e=/^:?wrap:/.exec(t)!==null?!0:/^:?nowrap:/.exec(t)!==null?!1:void 0;return{cleanedText:(e===void 0?t:t.replace(/^:?(?:no)?wrap:/,"")).trim(),wrap:e}}autoWrap(){return this.state.records.wrapEnabled!==void 0?this.state.records.wrapEnabled:Xe().sequence?.wrap??!1}clear(){this.state.reset(),ji()}parseMessage(t){const e=t.trim(),{wrap:n,cleanedText:a}=this.extractWrap(e),r={text:a,wrap:n};return Be.debug(`parseMessage: ${JSON.stringify(r)}`),r}parseBoxData(t){const e=/^((?:rgba?|hsla?)\s*\(.*\)|\w*)(.*)$/.exec(t);let n=e?.[1]?e[1].trim():"transparent",a=e?.[2]?e[2].trim():void 0;if(window?.CSS)window.CSS.supports("color",n)||(n="transparent",a=t.trim());else{const A=new Option().style;A.color=n,A.color!==n&&(n="transparent",a=t.trim())}const{wrap:r,cleanedText:i}=this.extractWrap(a);return{text:i?Ta(i,Xe()):void 0,color:n,wrap:r}}addNote(t,e,n){const a={actor:t,placement:e,message:n.text,wrap:n.wrap??this.autoWrap()},r=[].concat(t,t);this.state.records.notes.push(a),this.state.records.messages.push({id:this.state.records.messages.length.toString(),from:r[0],to:r[1],message:n.text,wrap:n.wrap??this.autoWrap(),type:this.LINETYPE.NOTE,placement:e})}addLinks(t,e){const n=this.getActor(t);try{let a=Ta(e.text,Xe());a=a.replace(/=/g,"="),a=a.replace(/&/g,"&");const r=JSON.parse(a);this.insertLinks(n,r)}catch(a){Be.error("error while parsing actor link text",a)}}addALink(t,e){const n=this.getActor(t);try{const a={};let r=Ta(e.text,Xe());const i=r.indexOf("@");r=r.replace(/=/g,"="),r=r.replace(/&/g,"&");const A=r.slice(0,i-1).trim(),o=r.slice(i+1).trim();a[A]=o,this.insertLinks(n,a)}catch(a){Be.error("error while parsing actor link text",a)}}insertLinks(t,e){if(t.links==null)t.links=e;else for(const n in e)t.links[n]=e[n]}addProperties(t,e){const n=this.getActor(t);try{const a=Ta(e.text,Xe()),r=JSON.parse(a);this.insertProperties(n,r)}catch(a){Be.error("error while parsing actor properties text",a)}}insertProperties(t,e){if(t.properties==null)t.properties=e;else for(const n in e)t.properties[n]=e[n]}boxEnd(){this.state.records.currentBox=void 0}addDetails(t,e){const n=this.getActor(t),a=document.getElementById(e.text);try{const r=a.innerHTML,i=JSON.parse(r);i.properties&&this.insertProperties(n,i.properties),i.links&&this.insertLinks(n,i.links)}catch(r){Be.error("error while parsing actor details text",r)}}getActorProperty(t,e){if(t?.properties!==void 0)return t.properties[e]}apply(t){if(Array.isArray(t))t.forEach(e=>{this.apply(e)});else switch(t.type){case"sequenceIndex":this.state.records.messages.push({id:this.state.records.messages.length.toString(),from:void 0,to:void 0,message:{start:t.sequenceIndex,step:t.sequenceIndexStep,visible:t.sequenceVisible},wrap:!1,type:t.signalType});break;case"addParticipant":this.addActor(t.actor,t.actor,t.description,t.draw,t.config);break;case"createParticipant":if(this.state.records.actors.has(t.actor))throw new Error("It is not possible to have actors with the same id, even if one is destroyed before the next is created. Use 'AS' aliases to simulate the behavior");this.state.records.lastCreated=t.actor,this.addActor(t.actor,t.actor,t.description,t.draw,t.config),this.state.records.createdActors.set(t.actor,this.state.records.messages.length);break;case"destroyParticipant":this.state.records.lastDestroyed=t.actor,this.state.records.destroyedActors.set(t.actor,this.state.records.messages.length);break;case"activeStart":this.addSignal(t.actor,void 0,void 0,t.signalType);break;case"activeEnd":this.addSignal(t.actor,void 0,void 0,t.signalType);break;case"addNote":this.addNote(t.actor,t.placement,t.text);break;case"addLinks":this.addLinks(t.actor,t.text);break;case"addALink":this.addALink(t.actor,t.text);break;case"addProperties":this.addProperties(t.actor,t.text);break;case"addDetails":this.addDetails(t.actor,t.text);break;case"addMessage":if(this.state.records.lastCreated){if(t.to!==this.state.records.lastCreated)throw new Error("The created participant "+this.state.records.lastCreated.name+" does not have an associated creating message after its declaration. Please check the sequence diagram.");this.state.records.lastCreated=void 0}else if(this.state.records.lastDestroyed){if(t.to!==this.state.records.lastDestroyed&&t.from!==this.state.records.lastDestroyed)throw new Error("The destroyed participant "+this.state.records.lastDestroyed.name+" does not have an associated destroying message after its declaration. Please check the sequence diagram.");this.state.records.lastDestroyed=void 0}this.addSignal(t.from,t.to,t.msg,t.signalType,t.activate);break;case"boxStart":this.addBox(t.boxData);break;case"boxEnd":this.boxEnd();break;case"loopStart":this.addSignal(void 0,void 0,t.loopText,t.signalType);break;case"loopEnd":this.addSignal(void 0,void 0,void 0,t.signalType);break;case"rectStart":this.addSignal(void 0,void 0,t.color,t.signalType);break;case"rectEnd":this.addSignal(void 0,void 0,void 0,t.signalType);break;case"optStart":this.addSignal(void 0,void 0,t.optText,t.signalType);break;case"optEnd":this.addSignal(void 0,void 0,void 0,t.signalType);break;case"altStart":this.addSignal(void 0,void 0,t.altText,t.signalType);break;case"else":this.addSignal(void 0,void 0,t.altText,t.signalType);break;case"altEnd":this.addSignal(void 0,void 0,void 0,t.signalType);break;case"setAccTitle":Yi(t.text);break;case"parStart":this.addSignal(void 0,void 0,t.parText,t.signalType);break;case"and":this.addSignal(void 0,void 0,t.parText,t.signalType);break;case"parEnd":this.addSignal(void 0,void 0,void 0,t.signalType);break;case"criticalStart":this.addSignal(void 0,void 0,t.criticalText,t.signalType);break;case"option":this.addSignal(void 0,void 0,t.optionText,t.signalType);break;case"criticalEnd":this.addSignal(void 0,void 0,void 0,t.signalType);break;case"breakStart":this.addSignal(void 0,void 0,t.breakText,t.signalType);break;case"breakEnd":this.addSignal(void 0,void 0,void 0,t.signalType);break}}getConfig(){return Xe().sequence}},I4t=v(t=>`.actor { + stroke: ${t.actorBorder}; + fill: ${t.actorBkg}; + } + + text.actor > tspan { + fill: ${t.actorTextColor}; + stroke: none; + } + + .actor-line { + stroke: ${t.actorLineColor}; + } + + .innerArc { + stroke-width: 1.5; + stroke-dasharray: none; + } + + .messageLine0 { + stroke-width: 1.5; + stroke-dasharray: none; + stroke: ${t.signalColor}; + } + + .messageLine1 { + stroke-width: 1.5; + stroke-dasharray: 2, 2; + stroke: ${t.signalColor}; + } + + #arrowhead path { + fill: ${t.signalColor}; + stroke: ${t.signalColor}; + } + + .sequenceNumber { + fill: ${t.sequenceNumberColor}; + } + + #sequencenumber { + fill: ${t.signalColor}; + } + + #crosshead path { + fill: ${t.signalColor}; + stroke: ${t.signalColor}; + } + + .messageText { + fill: ${t.signalTextColor}; + stroke: none; + } + + .labelBox { + stroke: ${t.labelBoxBorderColor}; + fill: ${t.labelBoxBkgColor}; + } + + .labelText, .labelText > tspan { + fill: ${t.labelTextColor}; + stroke: none; + } + + .loopText, .loopText > tspan { + fill: ${t.loopTextColor}; + stroke: none; + } + + .loopLine { + stroke-width: 2px; + stroke-dasharray: 2, 2; + stroke: ${t.labelBoxBorderColor}; + fill: ${t.labelBoxBorderColor}; + } + + .note { + //stroke: #decc93; + stroke: ${t.noteBorderColor}; + fill: ${t.noteBkgColor}; + } + + .noteText, .noteText > tspan { + fill: ${t.noteTextColor}; + stroke: none; + } + + .activation0 { + fill: ${t.activationBkgColor}; + stroke: ${t.activationBorderColor}; + } + + .activation1 { + fill: ${t.activationBkgColor}; + stroke: ${t.activationBorderColor}; + } + + .activation2 { + fill: ${t.activationBkgColor}; + stroke: ${t.activationBorderColor}; + } + + .actorPopupMenu { + position: absolute; + } + + .actorPopupMenuPanel { + position: absolute; + fill: ${t.actorBkg}; + box-shadow: 0px 8px 16px 0px rgba(0,0,0,0.2); + filter: drop-shadow(3px 5px 2px rgb(0 0 0 / 0.4)); +} + .actor-man line { + stroke: ${t.actorBorder}; + fill: ${t.actorBkg}; + } + .actor-man circle, line { + stroke: ${t.actorBorder}; + fill: ${t.actorBkg}; + stroke-width: 2px; + } + +`,"getStyles"),B4t=I4t,Dh=36,fm="actor-top",bm="actor-bottom",GN="actor-box",Wp="actor-man",Rw=v(function(t,e){return oN(t,e)},"drawRect"),y4t=v(function(t,e,n,a,r){if(e.links===void 0||e.links===null||Object.keys(e.links).length===0)return{height:0,width:0};const i=e.links,A=e.actorCnt,o=e.rectData;var s="none";r&&(s="block !important");const l=t.append("g");l.attr("id","actor"+A+"_popup"),l.attr("class","actorPopupMenu"),l.attr("display",s);var d="";o.class!==void 0&&(d=" "+o.class);let u=o.width>n?o.width:n;const g=l.append("rect");if(g.attr("class","actorPopupMenuPanel"+d),g.attr("x",o.x),g.attr("y",o.height),g.attr("fill",o.fill),g.attr("stroke",o.stroke),g.attr("width",u),g.attr("height",o.height),g.attr("rx",o.rx),g.attr("ry",o.ry),i!=null){var p=20;for(let b in i){var m=l.append("a"),f=mf.sanitizeUrl(i[b]);m.attr("xlink:href",f),m.attr("target","_blank"),q4t(a)(b,m,o.x+10,o.height+p,u,20,{class:"actor"},a),p+=30}}return g.attr("height",p),{height:o.height+p,width:u}},"drawPopup"),ON=v(function(t){return"var pu = document.getElementById('"+t+"'); if (pu != null) { pu.style.display = pu.style.display == 'block' ? 'none' : 'block'; }"},"popupMenuToggle"),A2=v(async function(t,e,n=null){let a=t.append("foreignObject");const r=await Ow(e.text,Ua()),A=a.append("xhtml:div").attr("style","width: fit-content;").attr("xmlns","http://www.w3.org/1999/xhtml").html(r).node().getBoundingClientRect();if(a.attr("height",Math.round(A.height)).attr("width",Math.round(A.width)),e.class==="noteText"){const o=t.node().firstChild;o.setAttribute("height",A.height+2*e.textMargin);const s=o.getBBox();a.attr("x",Math.round(s.x+s.width/2-A.width/2)).attr("y",Math.round(s.y+s.height/2-A.height/2))}else if(n){let{startx:o,stopx:s,starty:l}=n;if(o>s){const d=o;o=s,s=d}a.attr("x",Math.round(o+Math.abs(o-s)/2-A.width/2)),e.class==="loopText"?a.attr("y",Math.round(l)):a.attr("y",Math.round(l-A.height))}return[a]},"drawKatex"),xE=v(function(t,e){let n=0,a=0;const r=e.text.split(en.lineBreakRegex),[i,A]=If(e.fontSize);let o=[],s=0,l=v(()=>e.y,"yfunc");if(e.valign!==void 0&&e.textMargin!==void 0&&e.textMargin>0)switch(e.valign){case"top":case"start":l=v(()=>Math.round(e.y+e.textMargin),"yfunc");break;case"middle":case"center":l=v(()=>Math.round(e.y+(n+a+e.textMargin)/2),"yfunc");break;case"bottom":case"end":l=v(()=>Math.round(e.y+(n+a+2*e.textMargin)-e.textMargin),"yfunc");break}if(e.anchor!==void 0&&e.textMargin!==void 0&&e.width!==void 0)switch(e.anchor){case"left":case"start":e.x=Math.round(e.x+e.textMargin),e.anchor="start",e.dominantBaseline="middle",e.alignmentBaseline="middle";break;case"middle":case"center":e.x=Math.round(e.x+e.width/2),e.anchor="middle",e.dominantBaseline="middle",e.alignmentBaseline="middle";break;case"right":case"end":e.x=Math.round(e.x+e.width-e.textMargin),e.anchor="end",e.dominantBaseline="middle",e.alignmentBaseline="middle";break}for(let[d,u]of r.entries()){e.textMargin!==void 0&&e.textMargin===0&&i!==void 0&&(s=d*i);const g=t.append("text");g.attr("x",e.x),g.attr("y",l()),e.anchor!==void 0&&g.attr("text-anchor",e.anchor).attr("dominant-baseline",e.dominantBaseline).attr("alignment-baseline",e.alignmentBaseline),e.fontFamily!==void 0&&g.style("font-family",e.fontFamily),A!==void 0&&g.style("font-size",A),e.fontWeight!==void 0&&g.style("font-weight",e.fontWeight),e.fill!==void 0&&g.attr("fill",e.fill),e.class!==void 0&&g.attr("class",e.class),e.dy!==void 0?g.attr("dy",e.dy):s!==0&&g.attr("dy",s);const p=u||bbe;if(e.tspan){const m=g.append("tspan");m.attr("x",e.x),e.fill!==void 0&&m.attr("fill",e.fill),m.text(p)}else g.text(p);e.valign!==void 0&&e.textMargin!==void 0&&e.textMargin>0&&(a+=(g._groups||g)[0][0].getBBox().height,n=a),o.push(g)}return o},"drawText"),i_e=v(function(t,e){function n(r,i,A,o,s){return r+","+i+" "+(r+A)+","+i+" "+(r+A)+","+(i+o-s)+" "+(r+A-s*1.2)+","+(i+o)+" "+r+","+(i+o)}v(n,"genPoints");const a=t.append("polygon");return a.attr("points",n(e.x,e.y,e.width,e.height,7)),a.attr("class","labelBox"),e.y=e.y+e.height/2,xE(t,e),a},"drawLabel"),Na=-1,A_e=v((t,e,n,a)=>{t.select&&n.forEach(r=>{const i=e.get(r),A=t.select("#actor"+i.actorCnt);!a.mirrorActors&&i.stopy?A.attr("y2",i.stopy+i.height/2):a.mirrorActors&&A.attr("y2",i.stopy)})},"fixLifeLineHeights"),Q4t=v(function(t,e,n,a){const r=a?e.stopy:e.starty,i=e.x+e.width/2,A=r+e.height,o=t.append("g").lower();var s=o;a||(Na++,Object.keys(e.links||{}).length&&!n.forceMenus&&s.attr("onclick",ON(`actor${Na}_popup`)).attr("cursor","pointer"),s.append("line").attr("id","actor"+Na).attr("x1",i).attr("y1",A).attr("x2",i).attr("y2",2e3).attr("class","actor-line 200").attr("stroke-width","0.5px").attr("stroke","#999").attr("name",e.name),s=o.append("g"),e.actorCnt=Na,e.links!=null&&s.attr("id","root-"+Na));const l=Zs();var d="actor";e.properties?.class?d=e.properties.class:l.fill="#eaeaea",a?d+=` ${bm}`:d+=` ${fm}`,l.x=e.x,l.y=r,l.width=e.width,l.height=e.height,l.class=d,l.rx=3,l.ry=3,l.name=e.name;const u=Rw(s,l);if(e.rectData=l,e.properties?.icon){const p=e.properties.icon.trim();p.charAt(0)==="@"?fq(s,l.x+l.width-20,l.y+10,p.substr(1)):hq(s,l.x+l.width-20,l.y+10,p)}mg(n,Ei(e.description))(e.description,s,l.x,l.y,l.width,l.height,{class:`actor ${GN}`},n);let g=e.height;if(u.node){const p=u.node().getBBox();e.height=p.height,g=p.height}return g},"drawActorTypeParticipant"),w4t=v(function(t,e,n,a){const r=a?e.stopy:e.starty,i=e.x+e.width/2,A=r+e.height,o=t.append("g").lower();var s=o;a||(Na++,Object.keys(e.links||{}).length&&!n.forceMenus&&s.attr("onclick",ON(`actor${Na}_popup`)).attr("cursor","pointer"),s.append("line").attr("id","actor"+Na).attr("x1",i).attr("y1",A).attr("x2",i).attr("y2",2e3).attr("class","actor-line 200").attr("stroke-width","0.5px").attr("stroke","#999").attr("name",e.name),s=o.append("g"),e.actorCnt=Na,e.links!=null&&s.attr("id","root-"+Na));const l=Zs();var d="actor";e.properties?.class?d=e.properties.class:l.fill="#eaeaea",a?d+=` ${bm}`:d+=` ${fm}`,l.x=e.x,l.y=r,l.width=e.width,l.height=e.height,l.class=d,l.name=e.name;const u=6,g={...l,x:l.x+-u,y:l.y+ +u,class:"actor"},p=Rw(s,l);if(Rw(s,g),e.rectData=l,e.properties?.icon){const f=e.properties.icon.trim();f.charAt(0)==="@"?fq(s,l.x+l.width-20,l.y+10,f.substr(1)):hq(s,l.x+l.width-20,l.y+10,f)}mg(n,Ei(e.description))(e.description,s,l.x-u,l.y+u,l.width,l.height,{class:`actor ${GN}`},n);let m=e.height;if(p.node){const f=p.node().getBBox();e.height=f.height,m=f.height}return m},"drawActorTypeCollections"),k4t=v(function(t,e,n,a){const r=a?e.stopy:e.starty,i=e.x+e.width/2,A=r+e.height,o=t.append("g").lower();let s=o;a||(Na++,Object.keys(e.links||{}).length&&!n.forceMenus&&s.attr("onclick",ON(`actor${Na}_popup`)).attr("cursor","pointer"),s.append("line").attr("id","actor"+Na).attr("x1",i).attr("y1",A).attr("x2",i).attr("y2",2e3).attr("class","actor-line 200").attr("stroke-width","0.5px").attr("stroke","#999").attr("name",e.name),s=o.append("g"),e.actorCnt=Na,e.links!=null&&s.attr("id","root-"+Na));const l=Zs();let d="actor";e.properties?.class?d=e.properties.class:l.fill="#eaeaea",a?d+=` ${bm}`:d+=` ${fm}`,l.x=e.x,l.y=r,l.width=e.width,l.height=e.height,l.class=d,l.name=e.name;const u=l.height/2,g=u/(2.5+l.height/50),p=s.append("g"),m=s.append("g");if(p.append("path").attr("d",`M ${l.x},${l.y+u} + a ${g},${u} 0 0 0 0,${l.height} + h ${l.width-2*g} + a ${g},${u} 0 0 0 0,-${l.height} + Z + `).attr("class",d),m.append("path").attr("d",`M ${l.x},${l.y+u} + a ${g},${u} 0 0 0 0,${l.height}`).attr("stroke","#666").attr("stroke-width","1px").attr("class",d),p.attr("transform",`translate(${g}, ${-(l.height/2)})`),m.attr("transform",`translate(${l.width-g}, ${-l.height/2})`),e.rectData=l,e.properties?.icon){const C=e.properties.icon.trim(),I=l.x+l.width-20,B=l.y+10;C.charAt(0)==="@"?fq(s,I,B,C.substr(1)):hq(s,I,B,C)}mg(n,Ei(e.description))(e.description,s,l.x,l.y,l.width,l.height,{class:`actor ${GN}`},n);let f=e.height;const b=p.select("path:last-child");if(b.node()){const C=b.node().getBBox();e.height=C.height,f=C.height}return f},"drawActorTypeQueue"),v4t=v(function(t,e,n,a){const r=a?e.stopy:e.starty,i=e.x+e.width/2,A=r+75,o=t.append("g").lower();a||(Na++,o.append("line").attr("id","actor"+Na).attr("x1",i).attr("y1",A).attr("x2",i).attr("y2",2e3).attr("class","actor-line 200").attr("stroke-width","0.5px").attr("stroke","#999").attr("name",e.name),e.actorCnt=Na);const s=t.append("g");let l=Wp;a?l+=` ${bm}`:l+=` ${fm}`,s.attr("class",l),s.attr("name",e.name);const d=Zs();d.x=e.x,d.y=r,d.fill="#eaeaea",d.width=e.width,d.height=e.height,d.class="actor";const u=e.x+e.width/2,g=r+30,p=18;s.append("defs").append("marker").attr("id","filled-head-control").attr("refX",11).attr("refY",5.8).attr("markerWidth",20).attr("markerHeight",28).attr("orient","172.5").append("path").attr("d","M 14.4 5.6 L 7.2 10.4 L 8.8 5.6 L 7.2 0.8 Z"),s.append("circle").attr("cx",u).attr("cy",g).attr("r",p).attr("fill","#eaeaf7").attr("stroke","#666").attr("stroke-width",1.2),s.append("line").attr("marker-end","url(#filled-head-control)").attr("transform",`translate(${u}, ${g-p})`);const m=s.node().getBBox();return e.height=m.height+2*(n?.sequence?.labelBoxHeight??0),mg(n,Ei(e.description))(e.description,s,d.x,d.y+p+(a?5:10),d.width,d.height,{class:`actor ${Wp}`},n),e.height},"drawActorTypeControl"),D4t=v(function(t,e,n,a){const r=a?e.stopy:e.starty,i=e.x+e.width/2,A=r+75,o=t.append("g").lower(),s=t.append("g");let l=Wp;a?l+=` ${bm}`:l+=` ${fm}`,s.attr("class",l),s.attr("name",e.name);const d=Zs();d.x=e.x,d.y=r,d.fill="#eaeaea",d.width=e.width,d.height=e.height,d.class="actor";const u=e.x+e.width/2,g=r+(a?10:25),p=18;s.append("circle").attr("cx",u).attr("cy",g).attr("r",p).attr("width",e.width).attr("height",e.height),s.append("line").attr("x1",u-p).attr("x2",u+p).attr("y1",g+p).attr("y2",g+p).attr("stroke","#333").attr("stroke-width",2);const m=s.node().getBBox();return e.height=m.height+(n?.sequence?.labelBoxHeight??0),a||(Na++,o.append("line").attr("id","actor"+Na).attr("x1",i).attr("y1",A).attr("x2",i).attr("y2",2e3).attr("class","actor-line 200").attr("stroke-width","0.5px").attr("stroke","#999").attr("name",e.name),e.actorCnt=Na),mg(n,Ei(e.description))(e.description,s,d.x,d.y+(a?(g-r+p-5)/2:(g+p-r)/2),d.width,d.height,{class:`actor ${Wp}`},n),a?s.attr("transform",`translate(0, ${p/2})`):s.attr("transform",`translate(0, ${p/2})`),e.height},"drawActorTypeEntity"),x4t=v(function(t,e,n,a){const r=a?e.stopy:e.starty,i=e.x+e.width/2,A=r+e.height+2*n.boxTextMargin,o=t.append("g").lower();let s=o;a||(Na++,Object.keys(e.links||{}).length&&!n.forceMenus&&s.attr("onclick",ON(`actor${Na}_popup`)).attr("cursor","pointer"),s.append("line").attr("id","actor"+Na).attr("x1",i).attr("y1",A).attr("x2",i).attr("y2",2e3).attr("class","actor-line 200").attr("stroke-width","0.5px").attr("stroke","#999").attr("name",e.name),s=o.append("g"),e.actorCnt=Na,e.links!=null&&s.attr("id","root-"+Na));const l=Zs();let d="actor";e.properties?.class?d=e.properties.class:l.fill="#eaeaea",a?d+=` ${bm}`:d+=` ${fm}`,l.x=e.x,l.y=r,l.width=e.width,l.height=e.height,l.class=d,l.name=e.name,l.x=e.x,l.y=r;const u=l.width/4,g=l.width/4,p=u/2,m=p/(2.5+u/50),f=s.append("g"),b=` + M ${l.x},${l.y+m} + a ${p},${m} 0 0 0 ${u},0 + a ${p},${m} 0 0 0 -${u},0 + l 0,${g-2*m} + a ${p},${m} 0 0 0 ${u},0 + l 0,-${g-2*m} +`;f.append("path").attr("d",b).attr("fill","#eaeaea").attr("stroke","#000").attr("stroke-width",1).attr("class",d),a?f.attr("transform",`translate(${u*1.5}, ${l.height/4-2*m})`):f.attr("transform",`translate(${u*1.5}, ${(l.height+m)/4})`),e.rectData=l,mg(n,Ei(e.description))(e.description,s,l.x,l.y+(a?(l.height+g)/4:(l.height+m)/2),l.width,l.height,{class:`actor ${GN}`},n);const C=f.select("path:last-child");if(C.node()){const I=C.node().getBBox();e.height=I.height+(n.sequence.labelBoxHeight??0)}return e.height},"drawActorTypeDatabase"),S4t=v(function(t,e,n,a){const r=a?e.stopy:e.starty,i=e.x+e.width/2,A=r+80,o=30,s=t.append("g").lower();a||(Na++,s.append("line").attr("id","actor"+Na).attr("x1",i).attr("y1",A).attr("x2",i).attr("y2",2e3).attr("class","actor-line 200").attr("stroke-width","0.5px").attr("stroke","#999").attr("name",e.name),e.actorCnt=Na);const l=t.append("g");let d=Wp;a?d+=` ${bm}`:d+=` ${fm}`,l.attr("class",d),l.attr("name",e.name);const u=Zs();u.x=e.x,u.y=r,u.fill="#eaeaea",u.width=e.width,u.height=e.height,u.class="actor",l.append("line").attr("id","actor-man-torso"+Na).attr("x1",e.x+e.width/2-o*2.5).attr("y1",r+10).attr("x2",e.x+e.width/2-15).attr("y2",r+10),l.append("line").attr("id","actor-man-arms"+Na).attr("x1",e.x+e.width/2-o*2.5).attr("y1",r+0).attr("x2",e.x+e.width/2-o*2.5).attr("y2",r+20),l.append("circle").attr("cx",e.x+e.width/2).attr("cy",r+10).attr("r",o);const g=l.node().getBBox();return e.height=g.height+(n.sequence.labelBoxHeight??0),mg(n,Ei(e.description))(e.description,l,u.x,u.y+(a?o/2-4:o/2+3),u.width,u.height,{class:`actor ${Wp}`},n),a?l.attr("transform",`translate(0,${o/2+7})`):l.attr("transform",`translate(0,${o/2+7})`),e.height},"drawActorTypeBoundary"),_4t=v(function(t,e,n,a){const r=a?e.stopy:e.starty,i=e.x+e.width/2,A=r+80,o=t.append("g").lower();a||(Na++,o.append("line").attr("id","actor"+Na).attr("x1",i).attr("y1",A).attr("x2",i).attr("y2",2e3).attr("class","actor-line 200").attr("stroke-width","0.5px").attr("stroke","#999").attr("name",e.name),e.actorCnt=Na);const s=t.append("g");let l=Wp;a?l+=` ${bm}`:l+=` ${fm}`,s.attr("class",l),s.attr("name",e.name);const d=Zs();d.x=e.x,d.y=r,d.fill="#eaeaea",d.width=e.width,d.height=e.height,d.class="actor",d.rx=3,d.ry=3,s.append("line").attr("id","actor-man-torso"+Na).attr("x1",i).attr("y1",r+25).attr("x2",i).attr("y2",r+45),s.append("line").attr("id","actor-man-arms"+Na).attr("x1",i-Dh/2).attr("y1",r+33).attr("x2",i+Dh/2).attr("y2",r+33),s.append("line").attr("x1",i-Dh/2).attr("y1",r+60).attr("x2",i).attr("y2",r+45),s.append("line").attr("x1",i).attr("y1",r+45).attr("x2",i+Dh/2-2).attr("y2",r+60);const u=s.append("circle");u.attr("cx",e.x+e.width/2),u.attr("cy",r+10),u.attr("r",15),u.attr("width",e.width),u.attr("height",e.height);const g=s.node().getBBox();return e.height=g.height,mg(n,Ei(e.description))(e.description,s,d.x,d.y+35,d.width,d.height,{class:`actor 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d=r.sequenceItems.length-i+1;r.updateVal(l,"starty",e-d*ut.boxMargin,Math.min),r.updateVal(l,"stopy",a+d*ut.boxMargin,Math.max),r.updateVal(Wt.data,"startx",t-d*ut.boxMargin,Math.min),r.updateVal(Wt.data,"stopx",n+d*ut.boxMargin,Math.max),o!=="activation"&&(r.updateVal(l,"startx",t-d*ut.boxMargin,Math.min),r.updateVal(l,"stopx",n+d*ut.boxMargin,Math.max),r.updateVal(Wt.data,"starty",e-d*ut.boxMargin,Math.min),r.updateVal(Wt.data,"stopy",a+d*ut.boxMargin,Math.max))},"updateItemBounds")}v(A,"updateFn"),this.sequenceItems.forEach(A()),this.activations.forEach(A("activation"))},"updateBounds"),insert:v(function(t,e,n,a){const r=en.getMin(t,n),i=en.getMax(t,n),A=en.getMin(e,a),o=en.getMax(e,a);this.updateVal(Wt.data,"startx",r,Math.min),this.updateVal(Wt.data,"starty",A,Math.min),this.updateVal(Wt.data,"stopx",i,Math.max),this.updateVal(Wt.data,"stopy",o,Math.max),this.updateBounds(r,A,i,o)},"insert"),newActivation:v(function(t,e,n){const a=n.get(t.from),r=UN(t.from).length||0,i=a.x+a.width/2+(r-1)*ut.activationWidth/2;this.activations.push({startx:i,starty:this.verticalPos+2,stopx:i+ut.activationWidth,stopy:void 0,actor:t.from,anchored:vi.anchorElement(e)})},"newActivation"),endActivation:v(function(t){const e=this.activations.map(function(n){return n.actor}).lastIndexOf(t.from);return this.activations.splice(e,1)[0]},"endActivation"),createLoop:v(function(t={message:void 0,wrap:!1,width:void 0},e){return{startx:void 0,starty:this.verticalPos,stopx:void 0,stopy:void 0,title:t.message,wrap:t.wrap,width:t.width,height:0,fill:e}},"createLoop"),newLoop:v(function(t={message:void 0,wrap:!1,width:void 0},e){this.sequenceItems.push(this.createLoop(t,e))},"newLoop"),endLoop:v(function(){return this.sequenceItems.pop()},"endLoop"),isLoopOverlap:v(function(){return this.sequenceItems.length?this.sequenceItems[this.sequenceItems.length-1].overlap:!1},"isLoopOverlap"),addSectionToLoop:v(function(t){const e=this.sequenceItems.pop();e.sections=e.sections||[],e.sectionTitles=e.sectionTitles||[],e.sections.push({y:Wt.getVerticalPos(),height:0}),e.sectionTitles.push(t),this.sequenceItems.push(e)},"addSectionToLoop"),saveVerticalPos:v(function(){this.isLoopOverlap()&&(this.savedVerticalPos=this.verticalPos)},"saveVerticalPos"),resetVerticalPos:v(function(){this.isLoopOverlap()&&(this.verticalPos=this.savedVerticalPos)},"resetVerticalPos"),bumpVerticalPos:v(function(t){this.verticalPos=this.verticalPos+t,this.data.stopy=en.getMax(this.data.stopy,this.verticalPos)},"bumpVerticalPos"),getVerticalPos:v(function(){return this.verticalPos},"getVerticalPos"),getBounds:v(function(){return{bounds:this.data,models:this.models}},"getBounds")},j4t=v(async function(t,e){Wt.bumpVerticalPos(ut.boxMargin),e.height=ut.boxMargin,e.starty=Wt.getVerticalPos();const n=Zs();n.x=e.startx,n.y=e.starty,n.width=e.width||ut.width,n.class="note";const a=t.append("g"),r=vi.drawRect(a,n),i=bq();i.x=e.startx,i.y=e.starty,i.width=n.width,i.dy="1em",i.text=e.message,i.class="noteText",i.fontFamily=ut.noteFontFamily,i.fontSize=ut.noteFontSize,i.fontWeight=ut.noteFontWeight,i.anchor=ut.noteAlign,i.textMargin=ut.noteMargin,i.valign="center";const A=Ei(i.text)?await A2(a,i):xE(a,i),o=Math.round(A.map(s=>(s._groups||s)[0][0].getBBox().height).reduce((s,l)=>s+l));r.attr("height",o+2*ut.noteMargin),e.height+=o+2*ut.noteMargin,Wt.bumpVerticalPos(o+2*ut.noteMargin),e.stopy=e.starty+o+2*ut.noteMargin,e.stopx=e.startx+n.width,Wt.insert(e.startx,e.starty,e.stopx,e.stopy),Wt.models.addNote(e)},"drawNote"),lf=v(t=>({fontFamily:t.messageFontFamily,fontSize:t.messageFontSize,fontWeight:t.messageFontWeight}),"messageFont"),$b=v(t=>({fontFamily:t.noteFontFamily,fontSize:t.noteFontSize,fontWeight:t.noteFontWeight}),"noteFont"),gK=v(t=>({fontFamily:t.actorFontFamily,fontSize:t.actorFontSize,fontWeight:t.actorFontWeight}),"actorFont");async function c_e(t,e){Wt.bumpVerticalPos(10);const{startx:n,stopx:a,message:r}=e,i=en.splitBreaks(r).length,A=Ei(r),o=A?await Gw(r,Xe()):sa.calculateTextDimensions(r,lf(ut));if(!A){const u=o.height/i;e.height+=u,Wt.bumpVerticalPos(u)}let s,l=o.height-10;const d=o.width;if(n===a){s=Wt.getVerticalPos()+l,ut.rightAngles||(l+=ut.boxMargin,s=Wt.getVerticalPos()+l),l+=30;const u=en.getMax(d/2,ut.width/2);Wt.insert(n-u,Wt.getVerticalPos()-10+l,a+u,Wt.getVerticalPos()+30+l)}else l+=ut.boxMargin,s=Wt.getVerticalPos()+l,Wt.insert(n,s-10,a,s);return Wt.bumpVerticalPos(l),e.height+=l,e.stopy=e.starty+e.height,Wt.insert(e.fromBounds,e.starty,e.toBounds,e.stopy),s}v(c_e,"boundMessage");var z4t=v(async function(t,e,n,a){const{startx:r,stopx:i,starty:A,message:o,type:s,sequenceIndex:l,sequenceVisible:d}=e,u=sa.calculateTextDimensions(o,lf(ut)),g=bq();g.x=r,g.y=A+10,g.width=i-r,g.class="messageText",g.dy="1em",g.text=o,g.fontFamily=ut.messageFontFamily,g.fontSize=ut.messageFontSize,g.fontWeight=ut.messageFontWeight,g.anchor=ut.messageAlign,g.valign="center",g.textMargin=ut.wrapPadding,g.tspan=!1,Ei(g.text)?await A2(t,g,{startx:r,stopx:i,starty:n}):xE(t,g);const p=u.width;let m;r===i?ut.rightAngles?m=t.append("path").attr("d",`M ${r},${n} H ${r+en.getMax(ut.width/2,p/2)} V ${n+25} H ${r}`):m=t.append("path").attr("d","M "+r+","+n+" C "+(r+60)+","+(n-10)+" "+(r+60)+","+(n+30)+" "+r+","+(n+20)):(m=t.append("line"),m.attr("x1",r),m.attr("y1",n),m.attr("x2",i),m.attr("y2",n)),s===a.db.LINETYPE.DOTTED||s===a.db.LINETYPE.DOTTED_CROSS||s===a.db.LINETYPE.DOTTED_POINT||s===a.db.LINETYPE.DOTTED_OPEN||s===a.db.LINETYPE.BIDIRECTIONAL_DOTTED?(m.style("stroke-dasharray","3, 3"),m.attr("class","messageLine1")):m.attr("class","messageLine0");let f="";ut.arrowMarkerAbsolute&&(f=w2(!0)),m.attr("stroke-width",2),m.attr("stroke","none"),m.style("fill","none"),(s===a.db.LINETYPE.SOLID||s===a.db.LINETYPE.DOTTED)&&m.attr("marker-end","url("+f+"#arrowhead)"),(s===a.db.LINETYPE.BIDIRECTIONAL_SOLID||s===a.db.LINETYPE.BIDIRECTIONAL_DOTTED)&&(m.attr("marker-start","url("+f+"#arrowhead)"),m.attr("marker-end","url("+f+"#arrowhead)")),(s===a.db.LINETYPE.SOLID_POINT||s===a.db.LINETYPE.DOTTED_POINT)&&m.attr("marker-end","url("+f+"#filled-head)"),(s===a.db.LINETYPE.SOLID_CROSS||s===a.db.LINETYPE.DOTTED_CROSS)&&m.attr("marker-end","url("+f+"#crosshead)"),(d||ut.showSequenceNumbers)&&((s===a.db.LINETYPE.BIDIRECTIONAL_SOLID||s===a.db.LINETYPE.BIDIRECTIONAL_DOTTED)&&(rr&&(r=l.height),l.width+o.x>i&&(i=l.width+o.x)}return{maxHeight:r,maxWidth:i}},"drawActorsPopup"),d_e=v(function(t){Si(ut,t),t.fontFamily&&(ut.actorFontFamily=ut.noteFontFamily=ut.messageFontFamily=t.fontFamily),t.fontSize&&(ut.actorFontSize=ut.noteFontSize=ut.messageFontSize=t.fontSize),t.fontWeight&&(ut.actorFontWeight=ut.noteFontWeight=ut.messageFontWeight=t.fontWeight)},"setConf"),UN=v(function(t){return Wt.activations.filter(function(e){return e.actor===t})},"actorActivations"),uue=v(function(t,e){const n=e.get(t),a=UN(t),r=a.reduce(function(A,o){return en.getMin(A,o.startx)},n.x+n.width/2-1),i=a.reduce(function(A,o){return en.getMax(A,o.stopx)},n.x+n.width/2+1);return[r,i]},"activationBounds");function Wc(t,e,n,a,r){Wt.bumpVerticalPos(n);let i=a;if(e.id&&e.message&&t[e.id]){const A=t[e.id].width,o=lf(ut);e.message=sa.wrapLabel(`[${e.message}]`,A-2*ut.wrapPadding,o),e.width=A,e.wrap=!0;const s=sa.calculateTextDimensions(e.message,o),l=en.getMax(s.height,ut.labelBoxHeight);i=a+l,Be.debug(`${l} - ${e.message}`)}r(e),Wt.bumpVerticalPos(i)}v(Wc,"adjustLoopHeightForWrap");function u_e(t,e,n,a,r,i,A){function o(d,u){d.x{U.add(H.from),U.add(H.to)}),m=m.filter(H=>U.has(H))}J4t(l,d,u,m,0,f,!1);const w=await $4t(f,d,B,a);vi.insertArrowHead(l),vi.insertArrowCrossHead(l),vi.insertArrowFilledHead(l),vi.insertSequenceNumber(l);function k(U,H){const q=Wt.endActivation(U);q.starty+18>H&&(q.starty=H-6,H+=12),vi.drawActivation(l,q,H,ut,UN(U.from).length),Wt.insert(q.startx,H-10,q.stopx,H)}v(k,"activeEnd");let _=1,D=1;const x=[],S=[];let F=0;for(const U of f){let H,q,P;switch(U.type){case a.db.LINETYPE.NOTE:Wt.resetVerticalPos(),q=U.noteModel,await j4t(l,q);break;case a.db.LINETYPE.ACTIVE_START:Wt.newActivation(U,l,d);break;case a.db.LINETYPE.ACTIVE_END:k(U,Wt.getVerticalPos());break;case a.db.LINETYPE.LOOP_START:Wc(w,U,ut.boxMargin,ut.boxMargin+ut.boxTextMargin,j=>Wt.newLoop(j));break;case a.db.LINETYPE.LOOP_END:H=Wt.endLoop(),await vi.drawLoop(l,H,"loop",ut),Wt.bumpVerticalPos(H.stopy-Wt.getVerticalPos()),Wt.models.addLoop(H);break;case a.db.LINETYPE.RECT_START:Wc(w,U,ut.boxMargin,ut.boxMargin,j=>Wt.newLoop(void 0,j.message));break;case a.db.LINETYPE.RECT_END:H=Wt.endLoop(),S.push(H),Wt.models.addLoop(H),Wt.bumpVerticalPos(H.stopy-Wt.getVerticalPos());break;case a.db.LINETYPE.OPT_START:Wc(w,U,ut.boxMargin,ut.boxMargin+ut.boxTextMargin,j=>Wt.newLoop(j));break;case a.db.LINETYPE.OPT_END:H=Wt.endLoop(),await vi.drawLoop(l,H,"opt",ut),Wt.bumpVerticalPos(H.stopy-Wt.getVerticalPos()),Wt.models.addLoop(H);break;case a.db.LINETYPE.ALT_START:Wc(w,U,ut.boxMargin,ut.boxMargin+ut.boxTextMargin,j=>Wt.newLoop(j));break;case a.db.LINETYPE.ALT_ELSE:Wc(w,U,ut.boxMargin+ut.boxTextMargin,ut.boxMargin,j=>Wt.addSectionToLoop(j));break;case a.db.LINETYPE.ALT_END:H=Wt.endLoop(),await vi.drawLoop(l,H,"alt",ut),Wt.bumpVerticalPos(H.stopy-Wt.getVerticalPos()),Wt.models.addLoop(H);break;case a.db.LINETYPE.PAR_START:case a.db.LINETYPE.PAR_OVER_START:Wc(w,U,ut.boxMargin,ut.boxMargin+ut.boxTextMargin,j=>Wt.newLoop(j)),Wt.saveVerticalPos();break;case a.db.LINETYPE.PAR_AND:Wc(w,U,ut.boxMargin+ut.boxTextMargin,ut.boxMargin,j=>Wt.addSectionToLoop(j));break;case a.db.LINETYPE.PAR_END:H=Wt.endLoop(),await vi.drawLoop(l,H,"par",ut),Wt.bumpVerticalPos(H.stopy-Wt.getVerticalPos()),Wt.models.addLoop(H);break;case a.db.LINETYPE.AUTONUMBER:_=U.message.start||_,D=U.message.step||D,U.message.visible?a.db.enableSequenceNumbers():a.db.disableSequenceNumbers();break;case a.db.LINETYPE.CRITICAL_START:Wc(w,U,ut.boxMargin,ut.boxMargin+ut.boxTextMargin,j=>Wt.newLoop(j));break;case a.db.LINETYPE.CRITICAL_OPTION:Wc(w,U,ut.boxMargin+ut.boxTextMargin,ut.boxMargin,j=>Wt.addSectionToLoop(j));break;case a.db.LINETYPE.CRITICAL_END:H=Wt.endLoop(),await vi.drawLoop(l,H,"critical",ut),Wt.bumpVerticalPos(H.stopy-Wt.getVerticalPos()),Wt.models.addLoop(H);break;case a.db.LINETYPE.BREAK_START:Wc(w,U,ut.boxMargin,ut.boxMargin+ut.boxTextMargin,j=>Wt.newLoop(j));break;case a.db.LINETYPE.BREAK_END:H=Wt.endLoop(),await vi.drawLoop(l,H,"break",ut),Wt.bumpVerticalPos(H.stopy-Wt.getVerticalPos()),Wt.models.addLoop(H);break;default:try{P=U.msgModel,P.starty=Wt.getVerticalPos(),P.sequenceIndex=_,P.sequenceVisible=a.db.showSequenceNumbers();const j=await c_e(l,P);u_e(U,P,j,F,d,u,g),x.push({messageModel:P,lineStartY:j}),Wt.models.addMessage(P)}catch(j){Be.error("error while drawing message",j)}}[a.db.LINETYPE.SOLID_OPEN,a.db.LINETYPE.DOTTED_OPEN,a.db.LINETYPE.SOLID,a.db.LINETYPE.DOTTED,a.db.LINETYPE.SOLID_CROSS,a.db.LINETYPE.DOTTED_CROSS,a.db.LINETYPE.SOLID_POINT,a.db.LINETYPE.DOTTED_POINT,a.db.LINETYPE.BIDIRECTIONAL_SOLID,a.db.LINETYPE.BIDIRECTIONAL_DOTTED].includes(U.type)&&(_=_+D),F++}Be.debug("createdActors",u),Be.debug("destroyedActors",g),await pK(l,d,m,!1);for(const U of x)await z4t(l,U.messageModel,U.lineStartY,a);ut.mirrorActors&&await pK(l,d,m,!0),S.forEach(U=>vi.drawBackgroundRect(l,U)),A_e(l,d,m,ut);for(const U of Wt.models.boxes){U.height=Wt.getVerticalPos()-U.y,Wt.insert(U.x,U.y,U.x+U.width,U.height);const H=ut.boxMargin*2;U.startx=U.x-H,U.starty=U.y-H*.25,U.stopx=U.startx+U.width+2*H,U.stopy=U.starty+U.height+H*.75,U.stroke="rgb(0,0,0, 0.5)",vi.drawBox(l,U,ut)}C&&Wt.bumpVerticalPos(ut.boxMargin);const M=l_e(l,d,m,s),{bounds:O}=Wt.getBounds();O.startx===void 0&&(O.startx=0),O.starty===void 0&&(O.starty=0),O.stopx===void 0&&(O.stopx=0),O.stopy===void 0&&(O.stopy=0);let K=O.stopy-O.starty;K{const A=lf(ut);let o=i.actorKeys.reduce((u,g)=>u+=t.get(g).width+(t.get(g).margin||0),0);const s=ut.boxMargin*8;o+=s,o-=2*ut.boxTextMargin,i.wrap&&(i.name=sa.wrapLabel(i.name,o-2*ut.wrapPadding,A));const l=sa.calculateTextDimensions(i.name,A);r=en.getMax(l.height,r);const d=en.getMax(o,l.width+2*ut.wrapPadding);if(i.margin=ut.boxTextMargin,oi.textMaxHeight=r),en.getMax(a,ut.height)}v(p_e,"calculateActorMargins");var V4t=v(async function(t,e,n){const a=e.get(t.from),r=e.get(t.to),i=a.x,A=r.x,o=t.wrap&&t.message;let s=Ei(t.message)?await Gw(t.message,Xe()):sa.calculateTextDimensions(o?sa.wrapLabel(t.message,ut.width,$b(ut)):t.message,$b(ut));const l={width:o?ut.width:en.getMax(ut.width,s.width+2*ut.noteMargin),height:0,startx:a.x,stopx:0,starty:0,stopy:0,message:t.message};return t.placement===n.db.PLACEMENT.RIGHTOF?(l.width=o?en.getMax(ut.width,s.width):en.getMax(a.width/2+r.width/2,s.width+2*ut.noteMargin),l.startx=i+(a.width+ut.actorMargin)/2):t.placement===n.db.PLACEMENT.LEFTOF?(l.width=o?en.getMax(ut.width,s.width+2*ut.noteMargin):en.getMax(a.width/2+r.width/2,s.width+2*ut.noteMargin),l.startx=i-l.width+(a.width-ut.actorMargin)/2):t.to===t.from?(s=sa.calculateTextDimensions(o?sa.wrapLabel(t.message,en.getMax(ut.width,a.width),$b(ut)):t.message,$b(ut)),l.width=o?en.getMax(ut.width,a.width):en.getMax(a.width,ut.width,s.width+2*ut.noteMargin),l.startx=i+(a.width-l.width)/2):(l.width=Math.abs(i+a.width/2-(A+r.width/2))+ut.actorMargin,l.startx=i2,u=v(f=>o?-f:f,"adjustValue");t.from===t.to?l=s:(t.activate&&!d&&(l+=u(ut.activationWidth/2-1)),[n.db.LINETYPE.SOLID_OPEN,n.db.LINETYPE.DOTTED_OPEN].includes(t.type)||(l+=u(3)),[n.db.LINETYPE.BIDIRECTIONAL_SOLID,n.db.LINETYPE.BIDIRECTIONAL_DOTTED].includes(t.type)&&(s-=u(3)));const g=[a,r,i,A],p=Math.abs(s-l);t.wrap&&t.message&&(t.message=sa.wrapLabel(t.message,en.getMax(p+2*ut.wrapPadding,ut.width),lf(ut)));const m=sa.calculateTextDimensions(t.message,lf(ut));return{width:en.getMax(t.wrap?0:m.width+2*ut.wrapPadding,p+2*ut.wrapPadding,ut.width),height:0,startx:s,stopx:l,starty:0,stopy:0,message:t.message,type:t.type,wrap:t.wrap,fromBounds:Math.min.apply(null,g),toBounds:Math.max.apply(null,g)}},"buildMessageModel"),$4t=v(async function(t,e,n,a){const r={},i=[];let A,o,s;for(const l of t){switch(l.type){case a.db.LINETYPE.LOOP_START:case a.db.LINETYPE.ALT_START:case a.db.LINETYPE.OPT_START:case a.db.LINETYPE.PAR_START:case a.db.LINETYPE.PAR_OVER_START:case a.db.LINETYPE.CRITICAL_START:case a.db.LINETYPE.BREAK_START:i.push({id:l.id,msg:l.message,from:Number.MAX_SAFE_INTEGER,to:Number.MIN_SAFE_INTEGER,width:0});break;case a.db.LINETYPE.ALT_ELSE:case a.db.LINETYPE.PAR_AND:case a.db.LINETYPE.CRITICAL_OPTION:l.message&&(A=i.pop(),r[A.id]=A,r[l.id]=A,i.push(A));break;case a.db.LINETYPE.LOOP_END:case a.db.LINETYPE.ALT_END:case a.db.LINETYPE.OPT_END:case a.db.LINETYPE.PAR_END:case a.db.LINETYPE.CRITICAL_END:case a.db.LINETYPE.BREAK_END:A=i.pop(),r[A.id]=A;break;case a.db.LINETYPE.ACTIVE_START:{const u=e.get(l.from?l.from:l.to.actor),g=UN(l.from?l.from:l.to.actor).length,p=u.x+u.width/2+(g-1)*ut.activationWidth/2,m={startx:p,stopx:p+ut.activationWidth,actor:l.from,enabled:!0};Wt.activations.push(m)}break;case a.db.LINETYPE.ACTIVE_END:{const u=Wt.activations.map(g=>g.actor).lastIndexOf(l.from);Wt.activations.splice(u,1).splice(0,1)}break}l.placement!==void 0?(o=await V4t(l,e,a),l.noteModel=o,i.forEach(u=>{A=u,A.from=en.getMin(A.from,o.startx),A.to=en.getMax(A.to,o.startx+o.width),A.width=en.getMax(A.width,Math.abs(A.from-A.to))-ut.labelBoxWidth})):(s=X4t(l,e,a),l.msgModel=s,s.startx&&s.stopx&&i.length>0&&i.forEach(u=>{if(A=u,s.startx===s.stopx){const g=e.get(l.from),p=e.get(l.to);A.from=en.getMin(g.x-s.width/2,g.x-g.width/2,A.from),A.to=en.getMax(p.x+s.width/2,p.x+g.width/2,A.to),A.width=en.getMax(A.width,Math.abs(A.to-A.from))-ut.labelBoxWidth}else A.from=en.getMin(s.startx,A.from),A.to=en.getMax(s.stopx,A.to),A.width=en.getMax(A.width,s.width)-ut.labelBoxWidth}))}return Wt.activations=[],Be.debug("Loop type widths:",r),r},"calculateLoopBounds"),e8t={bounds:Wt,drawActors:pK,drawActorsPopup:l_e,setConf:d_e,draw:W4t},t8t={parser:h4t,get db(){return new E4t},renderer:e8t,styles:B4t,init:v(t=>{t.sequence||(t.sequence={}),t.wrap&&(t.sequence.wrap=t.wrap,GU({sequence:{wrap:t.wrap}}))},"init")};const n8t=Object.freeze(Object.defineProperty({__proto__:null,diagram:t8t},Symbol.toStringTag,{value:"Module"}));var mK=(function(){var t=v(function(st,qe,ze,At){for(ze=ze||{},At=st.length;At--;ze[st[At]]=qe);return 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parsedItem",e,l,u),s!=="root"){let p=aU;e.start===!0?p=m8t:e.start===!1&&(p=h8t),e.type!==yQ&&(p=e.type),y1.get(s)||y1.set(s,{id:s,shape:p,description:en.sanitizeText(s,g),cssClasses:`${d} ${E8t}`,cssStyles:u});const m=y1.get(s);e.description&&(Array.isArray(m.description)?(m.shape=rU,m.description.push(e.description)):m.description?.length&&m.description.length>0?(m.shape=rU,m.description===s?m.description=[e.description]:m.description=[m.description,e.description]):(m.shape=aU,m.description=e.description),m.description=en.sanitizeTextOrArray(m.description,g)),m.description?.length===1&&m.shape===rU&&(m.type==="group"?m.shape=bue:m.shape=aU),!m.type&&e.doc&&(Be.info("Setting cluster for XCX",s,Eue(e)),m.type="group",m.isGroup=!0,m.dir=Eue(e),m.shape=e.type===I_e?fue:bue,m.cssClasses=`${m.cssClasses} ${k8t} ${i?D8t:""}`);const f={labelStyle:"",shape:m.shape,label:m.description,cssClasses:m.cssClasses,cssCompiledStyles:[],cssStyles:m.cssStyles,id:s,dir:m.dir,domId:Q1(s,ap),type:m.type,isGroup:m.type==="group",padding:8,rx:10,ry:10,look:A};if(f.shape===fue&&(f.label=""),t&&t.id!=="root"&&(Be.trace("Setting node ",s," to be child of its parent ",t.id),f.parentId=t.id),f.centerLabel=!0,e.note){const b={labelStyle:"",shape:f8t,label:e.note.text,cssClasses:Q8t,cssStyles:[],cssCompiledStyles:[],id:s+S8t+"-"+ap,domId:Q1(s,ap,x_e),type:m.type,isGroup:m.type==="group",padding:g.flowchart?.padding,look:A,position:e.note.position},C=s+Cue,I={labelStyle:"",shape:b8t,label:e.note.text,cssClasses:m.cssClasses,cssStyles:[],id:s+Cue,domId:Q1(s,ap,D_e),type:"group",isGroup:!0,padding:16,look:A,position:e.note.position};ap++,I.id=C,b.parentId=C,eQ(a,I,o),eQ(a,b,o),eQ(a,f,o);let B=s,w=b.id;e.note.position==="left of"&&(B=b.id,w=s),r.push({id:B+"-"+w,start:B,end:w,arrowhead:"none",arrowTypeEnd:"",style:B_e,labelStyle:"",classes:y8t,arrowheadStyle:y_e,labelpos:Q_e,labelType:w_e,thickness:k_e,look:A})}else eQ(a,f,o)}e.doc&&(Be.trace("Adding nodes children "),M8t(e,e.doc,n,a,r,!i,A,o))},"dataFetcher"),F8t=v(()=>{y1.clear(),ap=0},"reset"),Eo={START_NODE:"[*]",START_TYPE:"start",END_NODE:"[*]",END_TYPE:"end",COLOR_KEYWORD:"color",FILL_KEYWORD:"fill",BG_FILL:"bgFill",STYLECLASS_SEP:","},Iue=v(()=>new Map,"newClassesList"),Bue=v(()=>({relations:[],states:new Map,documents:{}}),"newDoc"),JD=v(t=>JSON.parse(JSON.stringify(t)),"clone"),mh=class{constructor(t){this.version=t,this.nodes=[],this.edges=[],this.rootDoc=[],this.classes=Iue(),this.documents={root:Bue()},this.currentDocument=this.documents.root,this.startEndCount=0,this.dividerCnt=0,this.links=new Map,this.getAccTitle=cA,this.setAccTitle=Yi,this.getAccDescription=dA,this.setAccDescription=lA,this.setDiagramTitle=QA,this.getDiagramTitle=zi,this.clear(),this.setRootDoc=this.setRootDoc.bind(this),this.getDividerId=this.getDividerId.bind(this),this.setDirection=this.setDirection.bind(this),this.trimColon=this.trimColon.bind(this)}static{v(this,"StateDB")}static{this.relationType={AGGREGATION:0,EXTENSION:1,COMPOSITION:2,DEPENDENCY:3}}extract(t){this.clear(!0);for(const a of Array.isArray(t)?t:t.doc)switch(a.stmt){case eC:this.addState(a.id.trim(),a.type,a.doc,a.description,a.note);break;case fK:this.addRelation(a.state1,a.state2,a.description);break;case u8t:this.addStyleClass(a.id.trim(),a.classes);break;case g8t:this.handleStyleDef(a);break;case p8t:this.setCssClass(a.id.trim(),a.styleClass);break;case"click":this.addLink(a.id,a.url,a.tooltip);break}const e=this.getStates(),n=Xe();F8t(),tQ(void 0,this.getRootDocV2(),e,this.nodes,this.edges,!0,n.look,this.classes);for(const a of this.nodes)if(Array.isArray(a.label)){if(a.description=a.label.slice(1),a.isGroup&&a.description.length>0)throw new Error(`Group nodes can only have label. Remove the additional description for node [${a.id}]`);a.label=a.label[0]}}handleStyleDef(t){const e=t.id.trim().split(","),n=t.styleClass.split(",");for(const a of e){let r=this.getState(a);if(!r){const i=a.trim();this.addState(i),r=this.getState(i)}r&&(r.styles=n.map(i=>i.replace(/;/g,"")?.trim()))}}setRootDoc(t){Be.info("Setting root doc",t),this.rootDoc=t,this.version===1?this.extract(t):this.extract(this.getRootDocV2())}docTranslator(t,e,n){if(e.stmt===fK){this.docTranslator(t,e.state1,!0),this.docTranslator(t,e.state2,!1);return}if(e.stmt===eC&&(e.id===Eo.START_NODE?(e.id=t.id+(n?"_start":"_end"),e.start=n):e.id=e.id.trim()),e.stmt!==Yb&&e.stmt!==eC||!e.doc)return;const a=[];let r=[];for(const i of e.doc)if(i.type===I_e){const A=JD(i);A.doc=JD(r),a.push(A),r=[]}else r.push(i);if(a.length>0&&r.length>0){const i={stmt:eC,id:Qbe(),type:"divider",doc:JD(r)};a.push(JD(i)),e.doc=a}e.doc.forEach(i=>this.docTranslator(e,i,!0))}getRootDocV2(){return this.docTranslator({id:Yb,stmt:Yb},{id:Yb,stmt:Yb,doc:this.rootDoc},!0),{id:Yb,doc:this.rootDoc}}addState(t,e=yQ,n=void 0,a=void 0,r=void 0,i=void 0,A=void 0,o=void 0){const s=t?.trim();if(!this.currentDocument.states.has(s))Be.info("Adding state ",s,a),this.currentDocument.states.set(s,{stmt:eC,id:s,descriptions:[],type:e,doc:n,note:r,classes:[],styles:[],textStyles:[]});else{const l=this.currentDocument.states.get(s);if(!l)throw new Error(`State not found: ${s}`);l.doc||(l.doc=n),l.type||(l.type=e)}if(a&&(Be.info("Setting state description",s,a),(Array.isArray(a)?a:[a]).forEach(d=>this.addDescription(s,d.trim()))),r){const l=this.currentDocument.states.get(s);if(!l)throw new Error(`State not found: ${s}`);l.note=r,l.note.text=en.sanitizeText(l.note.text,Xe())}i&&(Be.info("Setting state classes",s,i),(Array.isArray(i)?i:[i]).forEach(d=>this.setCssClass(s,d.trim()))),A&&(Be.info("Setting state styles",s,A),(Array.isArray(A)?A:[A]).forEach(d=>this.setStyle(s,d.trim()))),o&&(Be.info("Setting state styles",s,A),(Array.isArray(o)?o:[o]).forEach(d=>this.setTextStyle(s,d.trim())))}clear(t){this.nodes=[],this.edges=[],this.documents={root:Bue()},this.currentDocument=this.documents.root,this.startEndCount=0,this.classes=Iue(),t||(this.links=new Map,ji())}getState(t){return this.currentDocument.states.get(t)}getStates(){return this.currentDocument.states}logDocuments(){Be.info("Documents = ",this.documents)}getRelations(){return this.currentDocument.relations}addLink(t,e,n){this.links.set(t,{url:e,tooltip:n}),Be.warn("Adding link",t,e,n)}getLinks(){return this.links}startIdIfNeeded(t=""){return t===Eo.START_NODE?(this.startEndCount++,`${Eo.START_TYPE}${this.startEndCount}`):t}startTypeIfNeeded(t="",e=yQ){return t===Eo.START_NODE?Eo.START_TYPE:e}endIdIfNeeded(t=""){return t===Eo.END_NODE?(this.startEndCount++,`${Eo.END_TYPE}${this.startEndCount}`):t}endTypeIfNeeded(t="",e=yQ){return t===Eo.END_NODE?Eo.END_TYPE:e}addRelationObjs(t,e,n=""){const a=this.startIdIfNeeded(t.id.trim()),r=this.startTypeIfNeeded(t.id.trim(),t.type),i=this.startIdIfNeeded(e.id.trim()),A=this.startTypeIfNeeded(e.id.trim(),e.type);this.addState(a,r,t.doc,t.description,t.note,t.classes,t.styles,t.textStyles),this.addState(i,A,e.doc,e.description,e.note,e.classes,e.styles,e.textStyles),this.currentDocument.relations.push({id1:a,id2:i,relationTitle:en.sanitizeText(n,Xe())})}addRelation(t,e,n){if(typeof t=="object"&&typeof e=="object")this.addRelationObjs(t,e,n);else if(typeof t=="string"&&typeof e=="string"){const a=this.startIdIfNeeded(t.trim()),r=this.startTypeIfNeeded(t),i=this.endIdIfNeeded(e.trim()),A=this.endTypeIfNeeded(e);this.addState(a,r),this.addState(i,A),this.currentDocument.relations.push({id1:a,id2:i,relationTitle:n?en.sanitizeText(n,Xe()):void 0})}}addDescription(t,e){const n=this.currentDocument.states.get(t),a=e.startsWith(":")?e.replace(":","").trim():e;n?.descriptions?.push(en.sanitizeText(a,Xe()))}cleanupLabel(t){return t.startsWith(":")?t.slice(2).trim():t.trim()}getDividerId(){return this.dividerCnt++,`divider-id-${this.dividerCnt}`}addStyleClass(t,e=""){this.classes.has(t)||this.classes.set(t,{id:t,styles:[],textStyles:[]});const n=this.classes.get(t);e&&n&&e.split(Eo.STYLECLASS_SEP).forEach(a=>{const r=a.replace(/([^;]*);/,"$1").trim();if(RegExp(Eo.COLOR_KEYWORD).exec(a)){const A=r.replace(Eo.FILL_KEYWORD,Eo.BG_FILL).replace(Eo.COLOR_KEYWORD,Eo.FILL_KEYWORD);n.textStyles.push(A)}n.styles.push(r)})}getClasses(){return this.classes}setCssClass(t,e){t.split(",").forEach(n=>{let a=this.getState(n);if(!a){const r=n.trim();this.addState(r),a=this.getState(r)}a?.classes?.push(e)})}setStyle(t,e){this.getState(t)?.styles?.push(e)}setTextStyle(t,e){this.getState(t)?.textStyles?.push(e)}getDirectionStatement(){return this.rootDoc.find(t=>t.stmt===hue)}getDirection(){return this.getDirectionStatement()?.value??d8t}setDirection(t){const e=this.getDirectionStatement();e?e.value=t:this.rootDoc.unshift({stmt:hue,value:t})}trimColon(t){return t.startsWith(":")?t.slice(1).trim():t.trim()}getData(){const t=Xe();return{nodes:this.nodes,edges:this.edges,other:{},config:t,direction:S_e(this.getRootDocV2())}}getConfig(){return Xe().state}},L8t=v(t=>` +defs #statediagram-barbEnd { + fill: ${t.transitionColor}; + stroke: ${t.transitionColor}; + } +g.stateGroup text { + fill: ${t.nodeBorder}; + stroke: none; + font-size: 10px; +} +g.stateGroup text { + fill: ${t.textColor}; + stroke: none; + font-size: 10px; + +} +g.stateGroup .state-title { + font-weight: bolder; + fill: ${t.stateLabelColor}; +} + +g.stateGroup rect { + fill: ${t.mainBkg}; + stroke: ${t.nodeBorder}; +} + +g.stateGroup line { + stroke: ${t.lineColor}; + stroke-width: 1; +} + +.transition { + stroke: ${t.transitionColor}; + stroke-width: 1; + fill: none; +} + +.stateGroup .composit { + fill: ${t.background}; + border-bottom: 1px +} + +.stateGroup .alt-composit { + fill: #e0e0e0; + border-bottom: 1px +} + +.state-note { + stroke: ${t.noteBorderColor}; + fill: ${t.noteBkgColor}; + + text { + fill: ${t.noteTextColor}; + stroke: none; + font-size: 10px; + } +} + +.stateLabel .box { + stroke: none; + stroke-width: 0; + fill: ${t.mainBkg}; + opacity: 0.5; +} + +.edgeLabel .label rect { + fill: ${t.labelBackgroundColor}; + opacity: 0.5; +} +.edgeLabel { + background-color: ${t.edgeLabelBackground}; + p { + background-color: ${t.edgeLabelBackground}; + } + rect { + opacity: 0.5; + background-color: ${t.edgeLabelBackground}; + fill: ${t.edgeLabelBackground}; + } + text-align: center; +} +.edgeLabel .label text { + fill: ${t.transitionLabelColor||t.tertiaryTextColor}; +} +.label div .edgeLabel { + color: ${t.transitionLabelColor||t.tertiaryTextColor}; +} + +.stateLabel text { + fill: ${t.stateLabelColor}; + font-size: 10px; + font-weight: bold; +} + +.node circle.state-start { + fill: ${t.specialStateColor}; + stroke: ${t.specialStateColor}; +} + +.node .fork-join { + fill: ${t.specialStateColor}; + stroke: ${t.specialStateColor}; +} + +.node circle.state-end { + fill: ${t.innerEndBackground}; + stroke: ${t.background}; + stroke-width: 1.5 +} +.end-state-inner { + fill: ${t.compositeBackground||t.background}; + // stroke: ${t.background}; + stroke-width: 1.5 +} + +.node rect { + fill: ${t.stateBkg||t.mainBkg}; + stroke: ${t.stateBorder||t.nodeBorder}; + stroke-width: 1px; +} +.node polygon { + fill: ${t.mainBkg}; + stroke: ${t.stateBorder||t.nodeBorder};; + stroke-width: 1px; +} +#statediagram-barbEnd { + fill: ${t.lineColor}; +} + +.statediagram-cluster rect { + fill: ${t.compositeTitleBackground}; + stroke: ${t.stateBorder||t.nodeBorder}; + stroke-width: 1px; +} + +.cluster-label, .nodeLabel { + color: ${t.stateLabelColor}; + // line-height: 1; +} + +.statediagram-cluster rect.outer { + rx: 5px; + ry: 5px; +} +.statediagram-state .divider { + stroke: ${t.stateBorder||t.nodeBorder}; +} + +.statediagram-state .title-state { + rx: 5px; + ry: 5px; +} +.statediagram-cluster.statediagram-cluster .inner { + fill: ${t.compositeBackground||t.background}; +} +.statediagram-cluster.statediagram-cluster-alt .inner { + fill: ${t.altBackground?t.altBackground:"#efefef"}; +} + +.statediagram-cluster .inner { + rx:0; + ry:0; +} + +.statediagram-state rect.basic { + rx: 5px; + ry: 5px; +} +.statediagram-state rect.divider { + stroke-dasharray: 10,10; + fill: ${t.altBackground?t.altBackground:"#efefef"}; +} + +.note-edge { + stroke-dasharray: 5; +} + +.statediagram-note rect { + fill: ${t.noteBkgColor}; + stroke: ${t.noteBorderColor}; + stroke-width: 1px; + rx: 0; + ry: 0; +} +.statediagram-note rect { + fill: ${t.noteBkgColor}; + stroke: ${t.noteBorderColor}; + stroke-width: 1px; + rx: 0; + ry: 0; +} + +.statediagram-note text { + fill: ${t.noteTextColor}; +} + +.statediagram-note .nodeLabel { + color: ${t.noteTextColor}; +} +.statediagram .edgeLabel { + color: red; // ${t.noteTextColor}; +} + +#dependencyStart, #dependencyEnd { + fill: ${t.lineColor}; + stroke: ${t.lineColor}; + stroke-width: 1; +} + +.statediagramTitleText { + text-anchor: middle; + font-size: 18px; + fill: ${t.textColor}; +} +`,"getStyles"),N_e=L8t,T8t=v(t=>t.append("circle").attr("class","start-state").attr("r",Xe().state.sizeUnit).attr("cx",Xe().state.padding+Xe().state.sizeUnit).attr("cy",Xe().state.padding+Xe().state.sizeUnit),"drawStartState"),G8t=v(t=>t.append("line").style("stroke","grey").style("stroke-dasharray","3").attr("x1",Xe().state.textHeight).attr("class","divider").attr("x2",Xe().state.textHeight*2).attr("y1",0).attr("y2",0),"drawDivider"),O8t=v((t,e)=>{const n=t.append("text").attr("x",2*Xe().state.padding).attr("y",Xe().state.textHeight+2*Xe().state.padding).attr("font-size",Xe().state.fontSize).attr("class","state-title").text(e.id),a=n.node().getBBox();return t.insert("rect",":first-child").attr("x",Xe().state.padding).attr("y",Xe().state.padding).attr("width",a.width+2*Xe().state.padding).attr("height",a.height+2*Xe().state.padding).attr("rx",Xe().state.radius),n},"drawSimpleState"),U8t=v((t,e)=>{const n=v(function(g,p,m){const f=g.append("tspan").attr("x",2*Xe().state.padding).text(p);m||f.attr("dy",Xe().state.textHeight)},"addTspan"),r=t.append("text").attr("x",2*Xe().state.padding).attr("y",Xe().state.textHeight+1.3*Xe().state.padding).attr("font-size",Xe().state.fontSize).attr("class","state-title").text(e.descriptions[0]).node().getBBox(),i=r.height,A=t.append("text").attr("x",Xe().state.padding).attr("y",i+Xe().state.padding*.4+Xe().state.dividerMargin+Xe().state.textHeight).attr("class","state-description");let o=!0,s=!0;e.descriptions.forEach(function(g){o||(n(A,g,s),s=!1),o=!1});const l=t.append("line").attr("x1",Xe().state.padding).attr("y1",Xe().state.padding+i+Xe().state.dividerMargin/2).attr("y2",Xe().state.padding+i+Xe().state.dividerMargin/2).attr("class","descr-divider"),d=A.node().getBBox(),u=Math.max(d.width,r.width);return l.attr("x2",u+3*Xe().state.padding),t.insert("rect",":first-child").attr("x",Xe().state.padding).attr("y",Xe().state.padding).attr("width",u+2*Xe().state.padding).attr("height",d.height+i+2*Xe().state.padding).attr("rx",Xe().state.radius),t},"drawDescrState"),P8t=v((t,e,n)=>{const a=Xe().state.padding,r=2*Xe().state.padding,i=t.node().getBBox(),A=i.width,o=i.x,s=t.append("text").attr("x",0).attr("y",Xe().state.titleShift).attr("font-size",Xe().state.fontSize).attr("class","state-title").text(e.id),d=s.node().getBBox().width+r;let u=Math.max(d,A);u===A&&(u=u+r);let g;const p=t.node().getBBox();e.doc,g=o-a,d>A&&(g=(A-u)/2+a),Math.abs(o-p.x)A&&(g=o-(d-A)/2);const m=1-Xe().state.textHeight;return t.insert("rect",":first-child").attr("x",g).attr("y",m).attr("class",n?"alt-composit":"composit").attr("width",u).attr("height",p.height+Xe().state.textHeight+Xe().state.titleShift+1).attr("rx","0"),s.attr("x",g+a),d<=A&&s.attr("x",o+(u-r)/2-d/2+a),t.insert("rect",":first-child").attr("x",g).attr("y",Xe().state.titleShift-Xe().state.textHeight-Xe().state.padding).attr("width",u).attr("height",Xe().state.textHeight*3).attr("rx",Xe().state.radius),t.insert("rect",":first-child").attr("x",g).attr("y",Xe().state.titleShift-Xe().state.textHeight-Xe().state.padding).attr("width",u).attr("height",p.height+3+2*Xe().state.textHeight).attr("rx",Xe().state.radius),t},"addTitleAndBox"),K8t=v(t=>(t.append("circle").attr("class","end-state-outer").attr("r",Xe().state.sizeUnit+Xe().state.miniPadding).attr("cx",Xe().state.padding+Xe().state.sizeUnit+Xe().state.miniPadding).attr("cy",Xe().state.padding+Xe().state.sizeUnit+Xe().state.miniPadding),t.append("circle").attr("class","end-state-inner").attr("r",Xe().state.sizeUnit).attr("cx",Xe().state.padding+Xe().state.sizeUnit+2).attr("cy",Xe().state.padding+Xe().state.sizeUnit+2)),"drawEndState"),H8t=v((t,e)=>{let n=Xe().state.forkWidth,a=Xe().state.forkHeight;if(e.parentId){let r=n;n=a,a=r}return t.append("rect").style("stroke","black").style("fill","black").attr("width",n).attr("height",a).attr("x",Xe().state.padding).attr("y",Xe().state.padding)},"drawForkJoinState"),Y8t=v((t,e,n,a)=>{let r=0;const i=a.append("text");i.style("text-anchor","start"),i.attr("class","noteText");let A=t.replace(/\r\n/g,"
");A=A.replace(/\n/g,"
");const o=A.split(en.lineBreakRegex);let s=1.25*Xe().state.noteMargin;for(const l of o){const d=l.trim();if(d.length>0){const u=i.append("tspan");if(u.text(d),s===0){const g=u.node().getBBox();s+=g.height}r+=s,u.attr("x",e+Xe().state.noteMargin),u.attr("y",n+r+1.25*Xe().state.noteMargin)}}return{textWidth:i.node().getBBox().width,textHeight:r}},"_drawLongText"),q8t=v((t,e)=>{e.attr("class","state-note");const n=e.append("rect").attr("x",0).attr("y",Xe().state.padding),a=e.append("g"),{textWidth:r,textHeight:i}=Y8t(t,0,0,a);return n.attr("height",i+2*Xe().state.noteMargin),n.attr("width",r+Xe().state.noteMargin*2),n},"drawNote"),yue=v(function(t,e){const n=e.id,a={id:n,label:e.id,width:0,height:0},r=t.append("g").attr("id",n).attr("class","stateGroup");e.type==="start"&&T8t(r),e.type==="end"&&K8t(r),(e.type==="fork"||e.type==="join")&&H8t(r,e),e.type==="note"&&q8t(e.note.text,r),e.type==="divider"&&G8t(r),e.type==="default"&&e.descriptions.length===0&&O8t(r,e),e.type==="default"&&e.descriptions.length>0&&U8t(r,e);const i=r.node().getBBox();return a.width=i.width+2*Xe().state.padding,a.height=i.height+2*Xe().state.padding,a},"drawState"),Que=0,j8t=v(function(t,e,n){const a=v(function(s){switch(s){case mh.relationType.AGGREGATION:return"aggregation";case mh.relationType.EXTENSION:return"extension";case mh.relationType.COMPOSITION:return"composition";case mh.relationType.DEPENDENCY:return"dependency"}},"getRelationType");e.points=e.points.filter(s=>!Number.isNaN(s.y));const r=e.points,i=LQ().x(function(s){return s.x}).y(function(s){return s.y}).curve(CC),A=t.append("path").attr("d",i(r)).attr("id","edge"+Que).attr("class","transition");let o="";if(Xe().state.arrowMarkerAbsolute&&(o=w2(!0)),A.attr("marker-end","url("+o+"#"+a(mh.relationType.DEPENDENCY)+"End)"),n.title!==void 0){const s=t.append("g").attr("class","stateLabel"),{x:l,y:d}=sa.calcLabelPosition(e.points),u=en.getRows(n.title);let g=0;const p=[];let m=0,f=0;for(let I=0;I<=u.length;I++){const B=s.append("text").attr("text-anchor","middle").text(u[I]).attr("x",l).attr("y",d+g),w=B.node().getBBox();m=Math.max(m,w.width),f=Math.min(f,w.x),Be.info(w.x,l,d+g),g===0&&(g=B.node().getBBox().height,Be.info("Title height",g,d)),p.push(B)}let b=g*u.length;if(u.length>1){const I=(u.length-1)*g*.5;p.forEach((B,w)=>B.attr("y",d+w*g-I)),b=g*u.length}const 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line { + stroke: ${t.textColor} + } + + .legend { + fill: ${t.textColor}; + font-family: ${t.fontFamily}; + } + + .label text { + fill: #333; + } + .label { + color: ${t.textColor} + } + + .face { + ${t.faceColor?`fill: ${t.faceColor}`:"fill: #FFF8DC"}; + stroke: #999; + } + + .node rect, + .node circle, + .node ellipse, + .node polygon, + .node path { + fill: ${t.mainBkg}; + stroke: ${t.nodeBorder}; + stroke-width: 1px; + } + + .node .label { + text-align: center; + } + .node.clickable { + cursor: pointer; + } + + .arrowheadPath { + fill: ${t.arrowheadColor}; + } + + .edgePath .path { + stroke: ${t.lineColor}; + stroke-width: 1.5px; + } + + .flowchart-link { + stroke: ${t.lineColor}; + fill: none; + } + + .edgeLabel { + background-color: ${t.edgeLabelBackground}; + rect { + opacity: 0.5; + } + text-align: center; + } + + .cluster rect { + } + + .cluster text { + fill: ${t.titleColor}; + } + + div.mermaidTooltip { + position: absolute; + text-align: center; + max-width: 200px; + 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S=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:D?(D.length===x.length?this.yylloc.first_column:0)+x[x.length-D.length].length-D[0].length:this.yylloc.first_column-_},this.options.ranges&&(this.yylloc.range=[S[0],S[0]+this.yyleng-_]),this.yyleng=this.yytext.length,this},"unput"),more:v(function(){return this._more=!0,this},"more"),reject:v(function(){if(this.options.backtrack_lexer)this._backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+`. 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justify-content: center; + align-items: center; + } + .edge { + fill: none; + } + .mindmap-node-label { + dy: 1em; + alignment-baseline: middle; + text-anchor: middle; + dominant-baseline: middle; + text-align: center; + } +`,"getStyles"),a9t=n9t,r9t={get db(){return new XOt},renderer:e9t,parser:VOt,styles:a9t};const i9t=Object.freeze(Object.defineProperty({__proto__:null,diagram:r9t},Symbol.toStringTag,{value:"Module"}));var IK=(function(){var t=v(function(D,x,S,F){for(S=S||{},F=D.length;F--;S[D[F]]=x);return 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x=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:_?(_.length===D.length?this.yylloc.first_column:0)+D[D.length-_.length].length-_[0].length:this.yylloc.first_column-k},this.options.ranges&&(this.yylloc.range=[x[0],x[0]+this.yyleng-k]),this.yyleng=this.yytext.length,this},"unput"),more:v(function(){return this._more=!0,this},"more"),reject:v(function(){if(this.options.backtrack_lexer)this._backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+`. You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true). +`+this.showPosition(),{text:"",token:null,line:this.yylineno});return this},"reject"),less:v(function(w){this.unput(this.match.slice(w))},"less"),pastInput:v(function(){var w=this.matched.substr(0,this.matched.length-this.match.length);return(w.length>20?"...":"")+w.substr(-20).replace(/\n/g,"")},"pastInput"),upcomingInput:v(function(){var w=this.match;return w.length<20&&(w+=this._input.substr(0,20-w.length)),(w.substr(0,20)+(w.length>20?"...":"")).replace(/\n/g,"")},"upcomingInput"),showPosition:v(function(){var w=this.pastInput(),k=new Array(w.length+1).join("-");return w+this.upcomingInput()+` +`+k+"^"},"showPosition"),test_match:v(function(w,k){var _,D,x;if(this.options.backtrack_lexer&&(x={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(x.yylloc.range=this.yylloc.range.slice(0))),D=w[0].match(/(?:\r\n?|\n).*/g),D&&(this.yylineno+=D.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:D?D[D.length-1].length-D[D.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+w[0].length},this.yytext+=w[0],this.match+=w[0],this.matches=w,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(w[0].length),this.matched+=w[0],_=this.performAction.call(this,this.yy,this,k,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),_)return _;if(this._backtrack){for(var S in x)this[S]=x[S];return!1}return!1},"test_match"),next:v(function(){if(this.done)return this.EOF;this._input||(this.done=!0);var w,k,_,D;this._more||(this.yytext="",this.match="");for(var x=this._currentRules(),S=0;Sk[0].length)){if(k=_,D=S,this.options.backtrack_lexer){if(w=this.test_match(_,x[S]),w!==!1)return w;if(this._backtrack){k=!1;continue}else return!1}else if(!this.options.flex)break}return k?(w=this.test_match(k,x[D]),w!==!1?w:!1):this._input===""?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+`. Unrecognized text. +`+this.showPosition(),{text:"",token:null,line:this.yylineno})},"next"),lex:v(function(){var k=this.next();return k||this.lex()},"lex"),begin:v(function(k){this.conditionStack.push(k)},"begin"),popState:v(function(){var k=this.conditionStack.length-1;return k>0?this.conditionStack.pop():this.conditionStack[0]},"popState"),_currentRules:v(function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},"_currentRules"),topState:v(function(k){return k=this.conditionStack.length-1-Math.abs(k||0),k>=0?this.conditionStack[k]:"INITIAL"},"topState"),pushState:v(function(k){this.begin(k)},"pushState"),stateStackSize:v(function(){return this.conditionStack.length},"stateStackSize"),options:{},performAction:v(function(k,_,D,x){switch(D){case 0:return k.getLogger().debug("Found block-beta"),10;case 1:return k.getLogger().debug("Found id-block"),29;case 2:return k.getLogger().debug("Found block"),10;case 3:k.getLogger().debug(".",_.yytext);break;case 4:k.getLogger().debug("_",_.yytext);break;case 5:return 5;case 6:return _.yytext=-1,28;case 7:return _.yytext=_.yytext.replace(/columns\s+/,""),k.getLogger().debug("COLUMNS (LEX)",_.yytext),28;case 8:this.pushState("md_string");break;case 9:return"MD_STR";case 10:this.popState();break;case 11:this.pushState("string");break;case 12:k.getLogger().debug("LEX: POPPING STR:",_.yytext),this.popState();break;case 13:return k.getLogger().debug("LEX: STR end:",_.yytext),"STR";case 14:return _.yytext=_.yytext.replace(/space\:/,""),k.getLogger().debug("SPACE NUM (LEX)",_.yytext),21;case 15:return _.yytext="1",k.getLogger().debug("COLUMNS (LEX)",_.yytext),21;case 16:return 42;case 17:return"LINKSTYLE";case 18:return"INTERPOLATE";case 19:return this.pushState("CLASSDEF"),39;case 20:return this.popState(),this.pushState("CLASSDEFID"),"DEFAULT_CLASSDEF_ID";case 21:return this.popState(),this.pushState("CLASSDEFID"),40;case 22:return this.popState(),41;case 23:return this.pushState("CLASS"),43;case 24:return this.popState(),this.pushState("CLASS_STYLE"),44;case 25:return this.popState(),45;case 26:return this.pushState("STYLE_STMNT"),46;case 27:return this.popState(),this.pushState("STYLE_DEFINITION"),47;case 28:return this.popState(),48;case 29:return this.pushState("acc_title"),"acc_title";case 30:return this.popState(),"acc_title_value";case 31:return this.pushState("acc_descr"),"acc_descr";case 32:return this.popState(),"acc_descr_value";case 33:this.pushState("acc_descr_multiline");break;case 34:this.popState();break;case 35:return"acc_descr_multiline_value";case 36:return 30;case 37:return this.popState(),k.getLogger().debug("Lex: (("),"NODE_DEND";case 38:return this.popState(),k.getLogger().debug("Lex: (("),"NODE_DEND";case 39:return this.popState(),k.getLogger().debug("Lex: ))"),"NODE_DEND";case 40:return this.popState(),k.getLogger().debug("Lex: (("),"NODE_DEND";case 41:return this.popState(),k.getLogger().debug("Lex: (("),"NODE_DEND";case 42:return this.popState(),k.getLogger().debug("Lex: (-"),"NODE_DEND";case 43:return this.popState(),k.getLogger().debug("Lex: -)"),"NODE_DEND";case 44:return this.popState(),k.getLogger().debug("Lex: (("),"NODE_DEND";case 45:return this.popState(),k.getLogger().debug("Lex: ]]"),"NODE_DEND";case 46:return this.popState(),k.getLogger().debug("Lex: ("),"NODE_DEND";case 47:return this.popState(),k.getLogger().debug("Lex: ])"),"NODE_DEND";case 48:return this.popState(),k.getLogger().debug("Lex: /]"),"NODE_DEND";case 49:return this.popState(),k.getLogger().debug("Lex: /]"),"NODE_DEND";case 50:return this.popState(),k.getLogger().debug("Lex: )]"),"NODE_DEND";case 51:return this.popState(),k.getLogger().debug("Lex: )"),"NODE_DEND";case 52:return this.popState(),k.getLogger().debug("Lex: ]>"),"NODE_DEND";case 53:return this.popState(),k.getLogger().debug("Lex: ]"),"NODE_DEND";case 54:return k.getLogger().debug("Lexa: -)"),this.pushState("NODE"),35;case 55:return k.getLogger().debug("Lexa: (-"),this.pushState("NODE"),35;case 56:return k.getLogger().debug("Lexa: ))"),this.pushState("NODE"),35;case 57:return k.getLogger().debug("Lexa: )"),this.pushState("NODE"),35;case 58:return k.getLogger().debug("Lex: ((("),this.pushState("NODE"),35;case 59:return k.getLogger().debug("Lexa: )"),this.pushState("NODE"),35;case 60:return k.getLogger().debug("Lexa: )"),this.pushState("NODE"),35;case 61:return k.getLogger().debug("Lexa: )"),this.pushState("NODE"),35;case 62:return k.getLogger().debug("Lexc: >"),this.pushState("NODE"),35;case 63:return k.getLogger().debug("Lexa: (["),this.pushState("NODE"),35;case 64:return k.getLogger().debug("Lexa: )"),this.pushState("NODE"),35;case 65:return this.pushState("NODE"),35;case 66:return this.pushState("NODE"),35;case 67:return this.pushState("NODE"),35;case 68:return this.pushState("NODE"),35;case 69:return this.pushState("NODE"),35;case 70:return this.pushState("NODE"),35;case 71:return this.pushState("NODE"),35;case 72:return k.getLogger().debug("Lexa: ["),this.pushState("NODE"),35;case 73:return this.pushState("BLOCK_ARROW"),k.getLogger().debug("LEX ARR START"),37;case 74:return k.getLogger().debug("Lex: NODE_ID",_.yytext),31;case 75:return k.getLogger().debug("Lex: EOF",_.yytext),8;case 76:this.pushState("md_string");break;case 77:this.pushState("md_string");break;case 78:return"NODE_DESCR";case 79:this.popState();break;case 80:k.getLogger().debug("Lex: Starting string"),this.pushState("string");break;case 81:k.getLogger().debug("LEX ARR: Starting string"),this.pushState("string");break;case 82:return k.getLogger().debug("LEX: NODE_DESCR:",_.yytext),"NODE_DESCR";case 83:k.getLogger().debug("LEX POPPING"),this.popState();break;case 84:k.getLogger().debug("Lex: =>BAE"),this.pushState("ARROW_DIR");break;case 85:return _.yytext=_.yytext.replace(/^,\s*/,""),k.getLogger().debug("Lex (right): dir:",_.yytext),"DIR";case 86:return _.yytext=_.yytext.replace(/^,\s*/,""),k.getLogger().debug("Lex (left):",_.yytext),"DIR";case 87:return _.yytext=_.yytext.replace(/^,\s*/,""),k.getLogger().debug("Lex (x):",_.yytext),"DIR";case 88:return _.yytext=_.yytext.replace(/^,\s*/,""),k.getLogger().debug("Lex (y):",_.yytext),"DIR";case 89:return _.yytext=_.yytext.replace(/^,\s*/,""),k.getLogger().debug("Lex (up):",_.yytext),"DIR";case 90:return _.yytext=_.yytext.replace(/^,\s*/,""),k.getLogger().debug("Lex (down):",_.yytext),"DIR";case 91:return _.yytext="]>",k.getLogger().debug("Lex (ARROW_DIR end):",_.yytext),this.popState(),this.popState(),"BLOCK_ARROW_END";case 92:return k.getLogger().debug("Lex: LINK","#"+_.yytext+"#"),15;case 93:return k.getLogger().debug("Lex: LINK",_.yytext),15;case 94:return k.getLogger().debug("Lex: LINK",_.yytext),15;case 95:return k.getLogger().debug("Lex: LINK",_.yytext),15;case 96:return k.getLogger().debug("Lex: START_LINK",_.yytext),this.pushState("LLABEL"),16;case 97:return k.getLogger().debug("Lex: START_LINK",_.yytext),this.pushState("LLABEL"),16;case 98:return k.getLogger().debug("Lex: START_LINK",_.yytext),this.pushState("LLABEL"),16;case 99:this.pushState("md_string");break;case 100:return k.getLogger().debug("Lex: Starting string"),this.pushState("string"),"LINK_LABEL";case 101:return this.popState(),k.getLogger().debug("Lex: LINK","#"+_.yytext+"#"),15;case 102:return this.popState(),k.getLogger().debug("Lex: LINK",_.yytext),15;case 103:return this.popState(),k.getLogger().debug("Lex: LINK",_.yytext),15;case 104:return k.getLogger().debug("Lex: COLON",_.yytext),_.yytext=_.yytext.slice(1),27}},"anonymous"),rules:[/^(?:block-beta\b)/,/^(?:block:)/,/^(?:block\b)/,/^(?:[\s]+)/,/^(?:[\n]+)/,/^(?:((\u000D\u000A)|(\u000A)))/,/^(?:columns\s+auto\b)/,/^(?:columns\s+[\d]+)/,/^(?:["][`])/,/^(?:[^`"]+)/,/^(?:[`]["])/,/^(?:["])/,/^(?:["])/,/^(?:[^"]*)/,/^(?:space[:]\d+)/,/^(?:space\b)/,/^(?:default\b)/,/^(?:linkStyle\b)/,/^(?:interpolate\b)/,/^(?:classDef\s+)/,/^(?:DEFAULT\s+)/,/^(?:\w+\s+)/,/^(?:[^\n]*)/,/^(?:class\s+)/,/^(?:(\w+)+((,\s*\w+)*))/,/^(?:[^\n]*)/,/^(?:style\s+)/,/^(?:(\w+)+((,\s*\w+)*))/,/^(?:[^\n]*)/,/^(?:accTitle\s*:\s*)/,/^(?:(?!\n||)*[^\n]*)/,/^(?:accDescr\s*:\s*)/,/^(?:(?!\n||)*[^\n]*)/,/^(?:accDescr\s*\{\s*)/,/^(?:[\}])/,/^(?:[^\}]*)/,/^(?:end\b\s*)/,/^(?:\(\(\()/,/^(?:\)\)\))/,/^(?:[\)]\))/,/^(?:\}\})/,/^(?:\})/,/^(?:\(-)/,/^(?:-\))/,/^(?:\(\()/,/^(?:\]\])/,/^(?:\()/,/^(?:\]\))/,/^(?:\\\])/,/^(?:\/\])/,/^(?:\)\])/,/^(?:[\)])/,/^(?:\]>)/,/^(?:[\]])/,/^(?:-\))/,/^(?:\(-)/,/^(?:\)\))/,/^(?:\))/,/^(?:\(\(\()/,/^(?:\(\()/,/^(?:\{\{)/,/^(?:\{)/,/^(?:>)/,/^(?:\(\[)/,/^(?:\()/,/^(?:\[\[)/,/^(?:\[\|)/,/^(?:\[\()/,/^(?:\)\)\))/,/^(?:\[\\)/,/^(?:\[\/)/,/^(?:\[\\)/,/^(?:\[)/,/^(?:<\[)/,/^(?:[^\(\[\n\-\)\{\}\s\<\>:]+)/,/^(?:$)/,/^(?:["][`])/,/^(?:["][`])/,/^(?:[^`"]+)/,/^(?:[`]["])/,/^(?:["])/,/^(?:["])/,/^(?:[^"]+)/,/^(?:["])/,/^(?:\]>\s*\()/,/^(?:,?\s*right\s*)/,/^(?:,?\s*left\s*)/,/^(?:,?\s*x\s*)/,/^(?:,?\s*y\s*)/,/^(?:,?\s*up\s*)/,/^(?:,?\s*down\s*)/,/^(?:\)\s*)/,/^(?:\s*[xo<]?--+[-xo>]\s*)/,/^(?:\s*[xo<]?==+[=xo>]\s*)/,/^(?:\s*[xo<]?-?\.+-[xo>]?\s*)/,/^(?:\s*~~[\~]+\s*)/,/^(?:\s*[xo<]?--\s*)/,/^(?:\s*[xo<]?==\s*)/,/^(?:\s*[xo<]?-\.\s*)/,/^(?:["][`])/,/^(?:["])/,/^(?:\s*[xo<]?--+[-xo>]\s*)/,/^(?:\s*[xo<]?==+[=xo>]\s*)/,/^(?:\s*[xo<]?-?\.+-[xo>]?\s*)/,/^(?::\d+)/],conditions:{STYLE_DEFINITION:{rules:[28],inclusive:!1},STYLE_STMNT:{rules:[27],inclusive:!1},CLASSDEFID:{rules:[22],inclusive:!1},CLASSDEF:{rules:[20,21],inclusive:!1},CLASS_STYLE:{rules:[25],inclusive:!1},CLASS:{rules:[24],inclusive:!1},LLABEL:{rules:[99,100,101,102,103],inclusive:!1},ARROW_DIR:{rules:[85,86,87,88,89,90,91],inclusive:!1},BLOCK_ARROW:{rules:[76,81,84],inclusive:!1},NODE:{rules:[37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,77,80],inclusive:!1},md_string:{rules:[9,10,78,79],inclusive:!1},space:{rules:[],inclusive:!1},string:{rules:[12,13,82,83],inclusive:!1},acc_descr_multiline:{rules:[34,35],inclusive:!1},acc_descr:{rules:[32],inclusive:!1},acc_title:{rules:[30],inclusive:!1},INITIAL:{rules:[0,1,2,3,4,5,6,7,8,11,14,15,16,17,18,19,23,26,29,31,33,36,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,92,93,94,95,96,97,98,104],inclusive:!0}}};return B})();b.lexer=C;function I(){this.yy={}}return v(I,"Parser"),I.prototype=b,b.Parser=I,new I})();DK.parser=DK;var KUt=DK,Il=new Map,Uj=[],xK=new Map,Pue="color",Kue="fill",HUt="bgFill",c2e=",",YUt=Xe(),d2=new Map,qUt=v(t=>en.sanitizeText(t,YUt),"sanitizeText"),jUt=v(function(t,e=""){let n=d2.get(t);n||(n={id:t,styles:[],textStyles:[]},d2.set(t,n)),e?.split(c2e).forEach(a=>{const r=a.replace(/([^;]*);/,"$1").trim();if(RegExp(Pue).exec(a)){const A=r.replace(Kue,HUt).replace(Pue,Kue);n.textStyles.push(A)}n.styles.push(r)})},"addStyleClass"),zUt=v(function(t,e=""){const n=Il.get(t);e!=null&&(n.styles=e.split(c2e))},"addStyle2Node"),JUt=v(function(t,e){t.split(",").forEach(function(n){let a=Il.get(n);if(a===void 0){const r=n.trim();a={id:r,type:"na",children:[]},Il.set(r,a)}a.classes||(a.classes=[]),a.classes.push(e)})},"setCssClass"),l2e=v((t,e)=>{const n=t.flat(),a=[],i=n.find(A=>A?.type==="column-setting")?.columns??-1;for(const A of n){if(typeof i=="number"&&i>0&&A.type!=="column-setting"&&typeof A.widthInColumns=="number"&&A.widthInColumns>i&&Be.warn(`Block ${A.id} width ${A.widthInColumns} exceeds configured column width ${i}`),A.label&&(A.label=qUt(A.label)),A.type==="classDef"){jUt(A.id,A.css);continue}if(A.type==="applyClass"){JUt(A.id,A?.styleClass??"");continue}if(A.type==="applyStyles"){A?.stylesStr&&zUt(A.id,A?.stylesStr);continue}if(A.type==="column-setting")e.columns=A.columns??-1;else if(A.type==="edge"){const o=(xK.get(A.id)??0)+1;xK.set(A.id,o),A.id=o+"-"+A.id,Uj.push(A)}else{A.label||(A.type==="composite"?A.label="":A.label=A.id);const o=Il.get(A.id);if(o===void 0?Il.set(A.id,A):(A.type!=="na"&&(o.type=A.type),A.label!==A.id&&(o.label=A.label)),A.children&&l2e(A.children,A),A.type==="space"){const s=A.width??1;for(let l=0;l{Be.debug("Clear called"),ji(),QQ={id:"root",type:"composite",children:[],columns:-1},Il=new Map([["root",QQ]]),Pj=[],d2=new Map,Uj=[],xK=new Map},"clear");function d2e(t){switch(Be.debug("typeStr2Type",t),t){case"[]":return"square";case"()":return Be.debug("we have a round"),"round";case"(())":return"circle";case">]":return"rect_left_inv_arrow";case"{}":return"diamond";case"{{}}":return"hexagon";case"([])":return"stadium";case"[[]]":return"subroutine";case"[()]":return"cylinder";case"((()))":return"doublecircle";case"[//]":return"lean_right";case"[\\\\]":return"lean_left";case"[/\\]":return"trapezoid";case"[\\/]":return"inv_trapezoid";case"<[]>":return"block_arrow";default:return"na"}}v(d2e,"typeStr2Type");function u2e(t){switch(Be.debug("typeStr2Type",t),t){case"==":return"thick";default:return"normal"}}v(u2e,"edgeTypeStr2Type");function g2e(t){switch(t.replace(/^[\s-]+|[\s-]+$/g,"")){case"x":return"arrow_cross";case"o":return"arrow_circle";case">":return"arrow_point";default:return""}}v(g2e,"edgeStrToEdgeData");var Hue=0,ZUt=v(()=>(Hue++,"id-"+Math.random().toString(36).substr(2,12)+"-"+Hue),"generateId"),VUt=v(t=>{QQ.children=t,l2e(t,QQ),Pj=QQ.children},"setHierarchy"),XUt=v(t=>{const e=Il.get(t);return e?e.columns?e.columns:e.children?e.children.length:-1:-1},"getColumns"),$Ut=v(()=>[...Il.values()],"getBlocksFlat"),e5t=v(()=>Pj||[],"getBlocks"),t5t=v(()=>Uj,"getEdges"),n5t=v(t=>Il.get(t),"getBlock"),a5t=v(t=>{Il.set(t.id,t)},"setBlock"),r5t=v(()=>Be,"getLogger"),i5t=v(function(){return d2},"getClasses"),A5t={getConfig:v(()=>Ua().block,"getConfig"),typeStr2Type:d2e,edgeTypeStr2Type:u2e,edgeStrToEdgeData:g2e,getLogger:r5t,getBlocksFlat:$Ut,getBlocks:e5t,getEdges:t5t,setHierarchy:VUt,getBlock:n5t,setBlock:a5t,getColumns:XUt,getClasses:i5t,clear:WUt,generateId:ZUt},o5t=A5t,ZD=v((t,e)=>{const n=A7,a=n(t,"r"),r=n(t,"g"),i=n(t,"b");return hp(a,r,i,e)},"fade"),s5t=v(t=>`.label { + font-family: ${t.fontFamily}; + color: ${t.nodeTextColor||t.textColor}; + } + .cluster-label text { + fill: ${t.titleColor}; + } + .cluster-label span,p { + color: ${t.titleColor}; + } + + + + .label text,span,p { + fill: ${t.nodeTextColor||t.textColor}; + color: ${t.nodeTextColor||t.textColor}; + } + + .node rect, + .node circle, + .node ellipse, + .node polygon, + .node path { + fill: ${t.mainBkg}; + stroke: ${t.nodeBorder}; + stroke-width: 1px; + } + .flowchart-label text { + text-anchor: middle; + } + // .flowchart-label .text-outer-tspan { + // text-anchor: middle; + // } + // .flowchart-label .text-inner-tspan { + // text-anchor: start; + // } + + .node .label { + text-align: center; + } + .node.clickable { + cursor: pointer; + } + + .arrowheadPath { + fill: ${t.arrowheadColor}; + } + + .edgePath .path { + stroke: ${t.lineColor}; + stroke-width: 2.0px; + } + + .flowchart-link { + stroke: ${t.lineColor}; + fill: none; + } + + .edgeLabel { + background-color: ${t.edgeLabelBackground}; + rect { + opacity: 0.5; + background-color: ${t.edgeLabelBackground}; + fill: ${t.edgeLabelBackground}; + } + text-align: center; + } + + /* For html labels only */ + .labelBkg { + background-color: ${ZD(t.edgeLabelBackground,.5)}; + // background-color: + } + + .node .cluster { + // fill: ${ZD(t.mainBkg,.5)}; + fill: ${ZD(t.clusterBkg,.5)}; + stroke: ${ZD(t.clusterBorder,.2)}; + box-shadow: rgba(50, 50, 93, 0.25) 0px 13px 27px -5px, rgba(0, 0, 0, 0.3) 0px 8px 16px -8px; + stroke-width: 1px; + } + + .cluster text { + fill: ${t.titleColor}; + } + + .cluster span,p { + color: ${t.titleColor}; + } + /* .cluster div { + color: ${t.titleColor}; + } */ + + div.mermaidTooltip { + position: absolute; + text-align: center; + max-width: 200px; + padding: 2px; + font-family: ${t.fontFamily}; + font-size: 12px; + background: ${t.tertiaryColor}; + border: 1px solid ${t.border2}; + border-radius: 2px; + pointer-events: none; + z-index: 100; + } + + .flowchartTitleText { + text-anchor: middle; + font-size: 18px; + fill: ${t.textColor}; + } + ${C0()} 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this.rect.x},u.prototype.getRight=function(){return this.rect.x+this.rect.width},u.prototype.getTop=function(){return this.rect.y},u.prototype.getBottom=function(){return this.rect.y+this.rect.height},u.prototype.getParent=function(){return this.owner==null?null:this.owner.getParent()},n.exports=u}),(function(n,a,r){var i=r(0);function A(){}for(var o in i)A[o]=i[o];A.MAX_ITERATIONS=2500,A.DEFAULT_EDGE_LENGTH=50,A.DEFAULT_SPRING_STRENGTH=.45,A.DEFAULT_REPULSION_STRENGTH=4500,A.DEFAULT_GRAVITY_STRENGTH=.4,A.DEFAULT_COMPOUND_GRAVITY_STRENGTH=1,A.DEFAULT_GRAVITY_RANGE_FACTOR=3.8,A.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR=1.5,A.DEFAULT_USE_SMART_IDEAL_EDGE_LENGTH_CALCULATION=!0,A.DEFAULT_USE_SMART_REPULSION_RANGE_CALCULATION=!0,A.DEFAULT_COOLING_FACTOR_INCREMENTAL=.3,A.COOLING_ADAPTATION_FACTOR=.33,A.ADAPTATION_LOWER_NODE_LIMIT=1e3,A.ADAPTATION_UPPER_NODE_LIMIT=5e3,A.MAX_NODE_DISPLACEMENT_INCREMENTAL=100,A.MAX_NODE_DISPLACEMENT=A.MAX_NODE_DISPLACEMENT_INCREMENTAL*3,A.MIN_REPULSION_DIST=A.DEFAULT_EDGE_LENGTH/10,A.CONVERGENCE_CHECK_PERIOD=100,A.PER_LEVEL_IDEAL_EDGE_LENGTH_FACTOR=.1,A.MIN_EDGE_LENGTH=1,A.GRID_CALCULATION_CHECK_PERIOD=10,n.exports=A}),(function(n,a,r){function i(A,o){A==null&&o==null?(this.x=0,this.y=0):(this.x=A,this.y=o)}i.prototype.getX=function(){return this.x},i.prototype.getY=function(){return this.y},i.prototype.setX=function(A){this.x=A},i.prototype.setY=function(A){this.y=A},i.prototype.getDifference=function(A){return new DimensionD(this.x-A.x,this.y-A.y)},i.prototype.getCopy=function(){return new i(this.x,this.y)},i.prototype.translate=function(A){return this.x+=A.width,this.y+=A.height,this},n.exports=i}),(function(n,a,r){var i=r(2),A=r(10),o=r(0),s=r(7),l=r(3),d=r(1),u=r(13),g=r(12),p=r(11);function m(b,C,I){i.call(this,I),this.estimatedSize=A.MIN_VALUE,this.margin=o.DEFAULT_GRAPH_MARGIN,this.edges=[],this.nodes=[],this.isConnected=!1,this.parent=b,C!=null&&C instanceof s?this.graphManager=C:C!=null&&C instanceof Layout&&(this.graphManager=C.graphManager)}m.prototype=Object.create(i.prototype);for(var f in i)m[f]=i[f];m.prototype.getNodes=function(){return this.nodes},m.prototype.getEdges=function(){return this.edges},m.prototype.getGraphManager=function(){return this.graphManager},m.prototype.getParent=function(){return this.parent},m.prototype.getLeft=function(){return this.left},m.prototype.getRight=function(){return this.right},m.prototype.getTop=function(){return this.top},m.prototype.getBottom=function(){return this.bottom},m.prototype.isConnected=function(){return this.isConnected},m.prototype.add=function(b,C,I){if(C==null&&I==null){var B=b;if(this.graphManager==null)throw"Graph has no graph mgr!";if(this.getNodes().indexOf(B)>-1)throw"Node already in graph!";return B.owner=this,this.getNodes().push(B),B}else{var w=b;if(!(this.getNodes().indexOf(C)>-1&&this.getNodes().indexOf(I)>-1))throw"Source or target not in graph!";if(!(C.owner==I.owner&&C.owner==this))throw"Both owners must be this graph!";return C.owner!=I.owner?null:(w.source=C,w.target=I,w.isInterGraph=!1,this.getEdges().push(w),C.edges.push(w),I!=C&&I.edges.push(w),w)}},m.prototype.remove=function(b){var C=b;if(b instanceof l){if(C==null)throw"Node is null!";if(!(C.owner!=null&&C.owner==this))throw"Owner graph is invalid!";if(this.graphManager==null)throw"Owner graph manager is invalid!";for(var I=C.edges.slice(),B,w=I.length,k=0;k-1&&x>-1))throw"Source and/or target doesn't know this edge!";B.source.edges.splice(D,1),B.target!=B.source&&B.target.edges.splice(x,1);var _=B.source.owner.getEdges().indexOf(B);if(_==-1)throw"Not in owner's edge list!";B.source.owner.getEdges().splice(_,1)}},m.prototype.updateLeftTop=function(){for(var b=A.MAX_VALUE,C=A.MAX_VALUE,I,B,w,k=this.getNodes(),_=k.length,D=0;D<_;D++){var x=k[D];I=x.getTop(),B=x.getLeft(),b>I&&(b=I),C>B&&(C=B)}return b==A.MAX_VALUE?null:(k[0].getParent().paddingLeft!=null?w=k[0].getParent().paddingLeft:w=this.margin,this.left=C-w,this.top=b-w,new g(this.left,this.top))},m.prototype.updateBounds=function(b){for(var C=A.MAX_VALUE,I=-A.MAX_VALUE,B=A.MAX_VALUE,w=-A.MAX_VALUE,k,_,D,x,S,F=this.nodes,M=F.length,O=0;Ok&&(C=k),I<_&&(I=_),B>D&&(B=D),wk&&(C=k),I<_&&(I=_),B>D&&(B=D),w=this.nodes.length){var M=0;I.forEach(function(O){O.owner==b&&M++}),M==this.nodes.length&&(this.isConnected=!0)}},n.exports=m}),(function(n,a,r){var i,A=r(1);function o(s){i=r(6),this.layout=s,this.graphs=[],this.edges=[]}o.prototype.addRoot=function(){var s=this.layout.newGraph(),l=this.layout.newNode(null),d=this.add(s,l);return this.setRootGraph(d),this.rootGraph},o.prototype.add=function(s,l,d,u,g){if(d==null&&u==null&&g==null){if(s==null)throw"Graph is null!";if(l==null)throw"Parent node is null!";if(this.graphs.indexOf(s)>-1)throw"Graph already in this graph mgr!";if(this.graphs.push(s),s.parent!=null)throw"Already has a parent!";if(l.child!=null)throw"Already has a child!";return s.parent=l,l.child=s,s}else{g=d,u=l,d=s;var p=u.getOwner(),m=g.getOwner();if(!(p!=null&&p.getGraphManager()==this))throw"Source not in this graph mgr!";if(!(m!=null&&m.getGraphManager()==this))throw"Target not in this graph mgr!";if(p==m)return d.isInterGraph=!1,p.add(d,u,g);if(d.isInterGraph=!0,d.source=u,d.target=g,this.edges.indexOf(d)>-1)throw"Edge already in inter-graph edge list!";if(this.edges.push(d),!(d.source!=null&&d.target!=null))throw"Edge source and/or target is null!";if(!(d.source.edges.indexOf(d)==-1&&d.target.edges.indexOf(d)==-1))throw"Edge already in source and/or target incidency list!";return d.source.edges.push(d),d.target.edges.push(d),d}},o.prototype.remove=function(s){if(s instanceof i){var l=s;if(l.getGraphManager()!=this)throw"Graph not in this graph mgr";if(!(l==this.rootGraph||l.parent!=null&&l.parent.graphManager==this))throw"Invalid parent node!";var d=[];d=d.concat(l.getEdges());for(var u,g=d.length,p=0;p=s.getRight()?l[0]+=Math.min(s.getX()-o.getX(),o.getRight()-s.getRight()):s.getX()<=o.getX()&&s.getRight()>=o.getRight()&&(l[0]+=Math.min(o.getX()-s.getX(),s.getRight()-o.getRight())),o.getY()<=s.getY()&&o.getBottom()>=s.getBottom()?l[1]+=Math.min(s.getY()-o.getY(),o.getBottom()-s.getBottom()):s.getY()<=o.getY()&&s.getBottom()>=o.getBottom()&&(l[1]+=Math.min(o.getY()-s.getY(),s.getBottom()-o.getBottom()));var g=Math.abs((s.getCenterY()-o.getCenterY())/(s.getCenterX()-o.getCenterX()));s.getCenterY()===o.getCenterY()&&s.getCenterX()===o.getCenterX()&&(g=1);var p=g*l[0],m=l[1]/g;l[0]p)return l[0]=d,l[1]=f,l[2]=g,l[3]=F,!1;if(ug)return l[0]=m,l[1]=u,l[2]=x,l[3]=p,!1;if(dg?(l[0]=C,l[1]=I,R=!0):(l[0]=b,l[1]=f,R=!0):T===U&&(d>g?(l[0]=m,l[1]=f,R=!0):(l[0]=B,l[1]=I,R=!0)),-L===U?g>d?(l[2]=S,l[3]=F,G=!0):(l[2]=x,l[3]=D,G=!0):L===U&&(g>d?(l[2]=_,l[3]=D,G=!0):(l[2]=M,l[3]=F,G=!0)),R&&G)return!1;if(d>g?u>p?(H=this.getCardinalDirection(T,U,4),q=this.getCardinalDirection(L,U,2)):(H=this.getCardinalDirection(-T,U,3),q=this.getCardinalDirection(-L,U,1)):u>p?(H=this.getCardinalDirection(-T,U,1),q=this.getCardinalDirection(-L,U,3)):(H=this.getCardinalDirection(T,U,2),q=this.getCardinalDirection(L,U,4)),!R)switch(H){case 1:j=f,P=d+-k/U,l[0]=P,l[1]=j;break;case 2:P=B,j=u+w*U,l[0]=P,l[1]=j;break;case 3:j=I,P=d+k/U,l[0]=P,l[1]=j;break;case 4:P=C,j=u+-w*U,l[0]=P,l[1]=j;break}if(!G)switch(q){case 1:$=D,Z=g+-K/U,l[2]=Z,l[3]=$;break;case 2:Z=M,$=p+O*U,l[2]=Z,l[3]=$;break;case 3:$=F,Z=g+K/U,l[2]=Z,l[3]=$;break;case 4:Z=S,$=p+-O*U,l[2]=Z,l[3]=$;break}}return!1},A.getCardinalDirection=function(o,s,l){return o>s?l:1+l%4},A.getIntersection=function(o,s,l,d){if(d==null)return this.getIntersection2(o,s,l);var u=o.x,g=o.y,p=s.x,m=s.y,f=l.x,b=l.y,C=d.x,I=d.y,B=void 0,w=void 0,k=void 0,_=void 0,D=void 0,x=void 0,S=void 0,F=void 0,M=void 0;return k=m-g,D=u-p,S=p*g-u*m,_=I-b,x=f-C,F=C*b-f*I,M=k*x-_*D,M===0?null:(B=(D*F-x*S)/M,w=(_*S-k*F)/M,new i(B,w))},A.angleOfVector=function(o,s,l,d){var u=void 0;return o!==l?(u=Math.atan((d-s)/(l-o)),l=0){var I=(-f+Math.sqrt(f*f-4*m*b))/(2*m),B=(-f-Math.sqrt(f*f-4*m*b))/(2*m),w=null;return I>=0&&I<=1?[I]:B>=0&&B<=1?[B]:w}else return null},A.HALF_PI=.5*Math.PI,A.ONE_AND_HALF_PI=1.5*Math.PI,A.TWO_PI=2*Math.PI,A.THREE_PI=3*Math.PI,n.exports=A}),(function(n,a,r){function i(){}i.sign=function(A){return A>0?1:A<0?-1:0},i.floor=function(A){return A<0?Math.ceil(A):Math.floor(A)},i.ceil=function(A){return A<0?Math.floor(A):Math.ceil(A)},n.exports=i}),(function(n,a,r){function i(){}i.MAX_VALUE=2147483647,i.MIN_VALUE=-2147483648,n.exports=i}),(function(n,a,r){var i=(function(){function u(g,p){for(var m=0;m"u"?"undefined":i(o);return o==null||s!="object"&&s!="function"},n.exports=A}),(function(n,a,r){function i(f){if(Array.isArray(f)){for(var b=0,C=Array(f.length);b0&&b;){for(k.push(D[0]);k.length>0&&b;){var x=k[0];k.splice(0,1),w.add(x);for(var S=x.getEdges(),B=0;B-1&&D.splice(K,1)}w=new Set,_=new Map}}return f},m.prototype.createDummyNodesForBendpoints=function(f){for(var b=[],C=f.source,I=this.graphManager.calcLowestCommonAncestor(f.source,f.target),B=0;B0){for(var I=this.edgeToDummyNodes.get(C),B=0;B=0&&b.splice(F,1);var M=_.getNeighborsList();M.forEach(function(R){if(C.indexOf(R)<0){var G=I.get(R),T=G-1;T==1&&x.push(R),I.set(R,T)}})}C=C.concat(x),(b.length==1||b.length==2)&&(B=!0,w=b[0])}return w},m.prototype.setGraphManager=function(f){this.graphManager=f},n.exports=m}),(function(n,a,r){function i(){}i.seed=1,i.x=0,i.nextDouble=function(){return i.x=Math.sin(i.seed++)*1e4,i.x-Math.floor(i.x)},n.exports=i}),(function(n,a,r){var i=r(5);function A(o,s){this.lworldOrgX=0,this.lworldOrgY=0,this.ldeviceOrgX=0,this.ldeviceOrgY=0,this.lworldExtX=1,this.lworldExtY=1,this.ldeviceExtX=1,this.ldeviceExtY=1}A.prototype.getWorldOrgX=function(){return this.lworldOrgX},A.prototype.setWorldOrgX=function(o){this.lworldOrgX=o},A.prototype.getWorldOrgY=function(){return this.lworldOrgY},A.prototype.setWorldOrgY=function(o){this.lworldOrgY=o},A.prototype.getWorldExtX=function(){return this.lworldExtX},A.prototype.setWorldExtX=function(o){this.lworldExtX=o},A.prototype.getWorldExtY=function(){return this.lworldExtY},A.prototype.setWorldExtY=function(o){this.lworldExtY=o},A.prototype.getDeviceOrgX=function(){return this.ldeviceOrgX},A.prototype.setDeviceOrgX=function(o){this.ldeviceOrgX=o},A.prototype.getDeviceOrgY=function(){return this.ldeviceOrgY},A.prototype.setDeviceOrgY=function(o){this.ldeviceOrgY=o},A.prototype.getDeviceExtX=function(){return this.ldeviceExtX},A.prototype.setDeviceExtX=function(o){this.ldeviceExtX=o},A.prototype.getDeviceExtY=function(){return this.ldeviceExtY},A.prototype.setDeviceExtY=function(o){this.ldeviceExtY=o},A.prototype.transformX=function(o){var s=0,l=this.lworldExtX;return l!=0&&(s=this.ldeviceOrgX+(o-this.lworldOrgX)*this.ldeviceExtX/l),s},A.prototype.transformY=function(o){var s=0,l=this.lworldExtY;return l!=0&&(s=this.ldeviceOrgY+(o-this.lworldOrgY)*this.ldeviceExtY/l),s},A.prototype.inverseTransformX=function(o){var s=0,l=this.ldeviceExtX;return l!=0&&(s=this.lworldOrgX+(o-this.ldeviceOrgX)*this.lworldExtX/l),s},A.prototype.inverseTransformY=function(o){var s=0,l=this.ldeviceExtY;return l!=0&&(s=this.lworldOrgY+(o-this.ldeviceOrgY)*this.lworldExtY/l),s},A.prototype.inverseTransformPoint=function(o){var s=new i(this.inverseTransformX(o.x),this.inverseTransformY(o.y));return s},n.exports=A}),(function(n,a,r){function i(p){if(Array.isArray(p)){for(var m=0,f=Array(p.length);mo.ADAPTATION_LOWER_NODE_LIMIT&&(this.coolingFactor=Math.max(this.coolingFactor*o.COOLING_ADAPTATION_FACTOR,this.coolingFactor-(p-o.ADAPTATION_LOWER_NODE_LIMIT)/(o.ADAPTATION_UPPER_NODE_LIMIT-o.ADAPTATION_LOWER_NODE_LIMIT)*this.coolingFactor*(1-o.COOLING_ADAPTATION_FACTOR))),this.maxNodeDisplacement=o.MAX_NODE_DISPLACEMENT_INCREMENTAL):(p>o.ADAPTATION_LOWER_NODE_LIMIT?this.coolingFactor=Math.max(o.COOLING_ADAPTATION_FACTOR,1-(p-o.ADAPTATION_LOWER_NODE_LIMIT)/(o.ADAPTATION_UPPER_NODE_LIMIT-o.ADAPTATION_LOWER_NODE_LIMIT)*(1-o.COOLING_ADAPTATION_FACTOR)):this.coolingFactor=1,this.initialCoolingFactor=this.coolingFactor,this.maxNodeDisplacement=o.MAX_NODE_DISPLACEMENT),this.maxIterations=Math.max(this.getAllNodes().length*5,this.maxIterations),this.displacementThresholdPerNode=3*o.DEFAULT_EDGE_LENGTH/100,this.totalDisplacementThreshold=this.displacementThresholdPerNode*this.getAllNodes().length,this.repulsionRange=this.calcRepulsionRange()},u.prototype.calcSpringForces=function(){for(var p=this.getAllEdges(),m,f=0;f0&&arguments[0]!==void 0?arguments[0]:!0,m=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1,f,b,C,I,B=this.getAllNodes(),w;if(this.useFRGridVariant)for(this.totalIterations%o.GRID_CALCULATION_CHECK_PERIOD==1&&p&&this.updateGrid(),w=new Set,f=0;fk||w>k)&&(p.gravitationForceX=-this.gravityConstant*C,p.gravitationForceY=-this.gravityConstant*I)):(k=m.getEstimatedSize()*this.compoundGravityRangeFactor,(B>k||w>k)&&(p.gravitationForceX=-this.gravityConstant*C*this.compoundGravityConstant,p.gravitationForceY=-this.gravityConstant*I*this.compoundGravityConstant))},u.prototype.isConverged=function(){var p,m=!1;return this.totalIterations>this.maxIterations/3&&(m=Math.abs(this.totalDisplacement-this.oldTotalDisplacement)<2),p=this.totalDisplacement=B.length||k>=B[0].length)){for(var _=0;_u}}]),l})();n.exports=s}),(function(n,a,r){function i(){}i.svd=function(A){this.U=null,this.V=null,this.s=null,this.m=0,this.n=0,this.m=A.length,this.n=A[0].length;var o=Math.min(this.m,this.n);this.s=(function(dt){for(var _t=[];dt-- >0;)_t.push(0);return _t})(Math.min(this.m+1,this.n)),this.U=(function(dt){var _t=function St(Ot){if(Ot.length==0)return 0;for(var gt=[],ft=0;ft0;)_t.push(0);return _t})(this.n),l=(function(dt){for(var _t=[];dt-- >0;)_t.push(0);return _t})(this.m),d=!0,u=Math.min(this.m-1,this.n),g=Math.max(0,Math.min(this.n-2,this.m)),p=0;p=0;L--)if(this.s[L]!==0){for(var U=L+1;U=0;X--){if((function(dt,_t){return dt&&_t})(X0;){var le=void 0,ke=void 0;for(le=R-2;le>=-1&&le!==-1;le--)if(Math.abs(s[le])<=pe+Ae*(Math.abs(this.s[le])+Math.abs(this.s[le+1]))){s[le]=0;break}if(le===R-2)ke=4;else{var me=void 0;for(me=R-1;me>=le&&me!==le;me--){var He=(me!==R?Math.abs(s[me]):0)+(me!==le+1?Math.abs(s[me-1]):0);if(Math.abs(this.s[me])<=pe+Ae*He){this.s[me]=0;break}}me===le?ke=3:me===R-1?ke=1:(ke=2,le=me)}switch(le++,ke){case 1:{var ie=s[R-2];s[R-2]=0;for(var Ze=R-2;Ze>=le;Ze--){var ve=i.hypot(this.s[Ze],ie),at=this.s[Ze]/ve,rt=ie/ve;this.s[Ze]=ve,Ze!==le&&(ie=-rt*s[Ze-1],s[Ze-1]=at*s[Ze-1]);for(var ct=0;ct=this.s[le+1]);){var Ft=this.s[le];if(this.s[le]=this.s[le+1],this.s[le+1]=Ft,leMath.abs(o)?(s=o/A,s=Math.abs(A)*Math.sqrt(1+s*s)):o!=0?(s=A/o,s=Math.abs(o)*Math.sqrt(1+s*s)):s=0,s},n.exports=i}),(function(n,a,r){var i=(function(){function s(l,d){for(var u=0;u2&&arguments[2]!==void 0?arguments[2]:1,g=arguments.length>3&&arguments[3]!==void 0?arguments[3]:-1,p=arguments.length>4&&arguments[4]!==void 0?arguments[4]:-1;A(this,s),this.sequence1=l,this.sequence2=d,this.match_score=u,this.mismatch_penalty=g,this.gap_penalty=p,this.iMax=l.length+1,this.jMax=d.length+1,this.grid=new Array(this.iMax);for(var m=0;m=0;l--){var d=this.listeners[l];d.event===o&&d.callback===s&&this.listeners.splice(l,1)}},A.emit=function(o,s){for(var l=0;l{var a={45:((o,s,l)=>{var d={};d.layoutBase=l(551),d.CoSEConstants=l(806),d.CoSEEdge=l(767),d.CoSEGraph=l(880),d.CoSEGraphManager=l(578),d.CoSELayout=l(765),d.CoSENode=l(991),d.ConstraintHandler=l(902),o.exports=d}),806:((o,s,l)=>{var d=l(551).FDLayoutConstants;function u(){}for(var g in d)u[g]=d[g];u.DEFAULT_USE_MULTI_LEVEL_SCALING=!1,u.DEFAULT_RADIAL_SEPARATION=d.DEFAULT_EDGE_LENGTH,u.DEFAULT_COMPONENT_SEPERATION=60,u.TILE=!0,u.TILING_PADDING_VERTICAL=10,u.TILING_PADDING_HORIZONTAL=10,u.TRANSFORM_ON_CONSTRAINT_HANDLING=!0,u.ENFORCE_CONSTRAINTS=!0,u.APPLY_LAYOUT=!0,u.RELAX_MOVEMENT_ON_CONSTRAINTS=!0,u.TREE_REDUCTION_ON_INCREMENTAL=!0,u.PURE_INCREMENTAL=u.DEFAULT_INCREMENTAL,o.exports=u}),767:((o,s,l)=>{var d=l(551).FDLayoutEdge;function u(p,m,f){d.call(this,p,m,f)}u.prototype=Object.create(d.prototype);for(var g in d)u[g]=d[g];o.exports=u}),880:((o,s,l)=>{var d=l(551).LGraph;function u(p,m,f){d.call(this,p,m,f)}u.prototype=Object.create(d.prototype);for(var g in d)u[g]=d[g];o.exports=u}),578:((o,s,l)=>{var d=l(551).LGraphManager;function u(p){d.call(this,p)}u.prototype=Object.create(d.prototype);for(var g in d)u[g]=d[g];o.exports=u}),765:((o,s,l)=>{var d=l(551).FDLayout,u=l(578),g=l(880),p=l(991),m=l(767),f=l(806),b=l(902),C=l(551).FDLayoutConstants,I=l(551).LayoutConstants,B=l(551).Point,w=l(551).PointD,k=l(551).DimensionD,_=l(551).Layout,D=l(551).Integer,x=l(551).IGeometry,S=l(551).LGraph,F=l(551).Transform,M=l(551).LinkedList;function O(){d.call(this),this.toBeTiled={},this.constraints={}}O.prototype=Object.create(d.prototype);for(var K in d)O[K]=d[K];O.prototype.newGraphManager=function(){var R=new u(this);return this.graphManager=R,R},O.prototype.newGraph=function(R){return new g(null,this.graphManager,R)},O.prototype.newNode=function(R){return new p(this.graphManager,R)},O.prototype.newEdge=function(R){return new m(null,null,R)},O.prototype.initParameters=function(){d.prototype.initParameters.call(this,arguments),this.isSubLayout||(f.DEFAULT_EDGE_LENGTH<10?this.idealEdgeLength=10:this.idealEdgeLength=f.DEFAULT_EDGE_LENGTH,this.useSmartIdealEdgeLengthCalculation=f.DEFAULT_USE_SMART_IDEAL_EDGE_LENGTH_CALCULATION,this.gravityConstant=C.DEFAULT_GRAVITY_STRENGTH,this.compoundGravityConstant=C.DEFAULT_COMPOUND_GRAVITY_STRENGTH,this.gravityRangeFactor=C.DEFAULT_GRAVITY_RANGE_FACTOR,this.compoundGravityRangeFactor=C.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR,this.prunedNodesAll=[],this.growTreeIterations=0,this.afterGrowthIterations=0,this.isTreeGrowing=!1,this.isGrowthFinished=!1)},O.prototype.initSpringEmbedder=function(){d.prototype.initSpringEmbedder.call(this),this.coolingCycle=0,this.maxCoolingCycle=this.maxIterations/C.CONVERGENCE_CHECK_PERIOD,this.finalTemperature=.04,this.coolingAdjuster=1},O.prototype.layout=function(){var R=I.DEFAULT_CREATE_BENDS_AS_NEEDED;return R&&(this.createBendpoints(),this.graphManager.resetAllEdges()),this.level=0,this.classicLayout()},O.prototype.classicLayout=function(){if(this.nodesWithGravity=this.calculateNodesToApplyGravitationTo(),this.graphManager.setAllNodesToApplyGravitation(this.nodesWithGravity),this.calcNoOfChildrenForAllNodes(),this.graphManager.calcLowestCommonAncestors(),this.graphManager.calcInclusionTreeDepths(),this.graphManager.getRoot().calcEstimatedSize(),this.calcIdealEdgeLengths(),this.incremental){if(f.TREE_REDUCTION_ON_INCREMENTAL){this.reduceTrees(),this.graphManager.resetAllNodesToApplyGravitation();var G=new Set(this.getAllNodes()),T=this.nodesWithGravity.filter(function(H){return G.has(H)});this.graphManager.setAllNodesToApplyGravitation(T)}}else{var R=this.getFlatForest();if(R.length>0)this.positionNodesRadially(R);else{this.reduceTrees(),this.graphManager.resetAllNodesToApplyGravitation();var G=new Set(this.getAllNodes()),T=this.nodesWithGravity.filter(function(L){return G.has(L)});this.graphManager.setAllNodesToApplyGravitation(T),this.positionNodesRandomly()}}return Object.keys(this.constraints).length>0&&(b.handleConstraints(this),this.initConstraintVariables()),this.initSpringEmbedder(),f.APPLY_LAYOUT&&this.runSpringEmbedder(),!0},O.prototype.tick=function(){if(this.totalIterations++,this.totalIterations===this.maxIterations&&!this.isTreeGrowing&&!this.isGrowthFinished)if(this.prunedNodesAll.length>0)this.isTreeGrowing=!0;else return!0;if(this.totalIterations%C.CONVERGENCE_CHECK_PERIOD==0&&!this.isTreeGrowing&&!this.isGrowthFinished){if(this.isConverged())if(this.prunedNodesAll.length>0)this.isTreeGrowing=!0;else return!0;this.coolingCycle++,this.layoutQuality==0?this.coolingAdjuster=this.coolingCycle:this.layoutQuality==1&&(this.coolingAdjuster=this.coolingCycle/3),this.coolingFactor=Math.max(this.initialCoolingFactor-Math.pow(this.coolingCycle,Math.log(100*(this.initialCoolingFactor-this.finalTemperature))/Math.log(this.maxCoolingCycle))/100*this.coolingAdjuster,this.finalTemperature),this.animationPeriod=Math.ceil(this.initialAnimationPeriod*Math.sqrt(this.coolingFactor))}if(this.isTreeGrowing){if(this.growTreeIterations%10==0)if(this.prunedNodesAll.length>0){this.graphManager.updateBounds(),this.updateGrid(),this.growTree(this.prunedNodesAll),this.graphManager.resetAllNodesToApplyGravitation();var R=new Set(this.getAllNodes()),G=this.nodesWithGravity.filter(function(U){return R.has(U)});this.graphManager.setAllNodesToApplyGravitation(G),this.graphManager.updateBounds(),this.updateGrid(),f.PURE_INCREMENTAL?this.coolingFactor=C.DEFAULT_COOLING_FACTOR_INCREMENTAL/2:this.coolingFactor=C.DEFAULT_COOLING_FACTOR_INCREMENTAL}else this.isTreeGrowing=!1,this.isGrowthFinished=!0;this.growTreeIterations++}if(this.isGrowthFinished){if(this.isConverged())return!0;this.afterGrowthIterations%10==0&&(this.graphManager.updateBounds(),this.updateGrid()),f.PURE_INCREMENTAL?this.coolingFactor=C.DEFAULT_COOLING_FACTOR_INCREMENTAL/2*((100-this.afterGrowthIterations)/100):this.coolingFactor=C.DEFAULT_COOLING_FACTOR_INCREMENTAL*((100-this.afterGrowthIterations)/100),this.afterGrowthIterations++}var T=!this.isTreeGrowing&&!this.isGrowthFinished,L=this.growTreeIterations%10==1&&this.isTreeGrowing||this.afterGrowthIterations%10==1&&this.isGrowthFinished;return this.totalDisplacement=0,this.graphManager.updateBounds(),this.calcSpringForces(),this.calcRepulsionForces(T,L),this.calcGravitationalForces(),this.moveNodes(),this.animate(),!1},O.prototype.getPositionsData=function(){for(var R=this.graphManager.getAllNodes(),G={},T=0;T0&&this.updateDisplacements();for(var T=0;T0&&(L.fixedNodeWeight=H)}}if(this.constraints.relativePlacementConstraint){var q=new Map,P=new Map;if(this.dummyToNodeForVerticalAlignment=new Map,this.dummyToNodeForHorizontalAlignment=new Map,this.fixedNodesOnHorizontal=new Set,this.fixedNodesOnVertical=new Set,this.fixedNodeSet.forEach(function(ae){R.fixedNodesOnHorizontal.add(ae),R.fixedNodesOnVertical.add(ae)}),this.constraints.alignmentConstraint){if(this.constraints.alignmentConstraint.vertical)for(var j=this.constraints.alignmentConstraint.vertical,T=0;T=2*ae.length/3;Ae--)se=Math.floor(Math.random()*(Ae+1)),oe=ae[Ae],ae[Ae]=ae[se],ae[se]=oe;return ae},this.nodesInRelativeHorizontal=[],this.nodesInRelativeVertical=[],this.nodeToRelativeConstraintMapHorizontal=new Map,this.nodeToRelativeConstraintMapVertical=new Map,this.nodeToTempPositionMapHorizontal=new Map,this.nodeToTempPositionMapVertical=new Map,this.constraints.relativePlacementConstraint.forEach(function(ae){if(ae.left){var se=q.has(ae.left)?q.get(ae.left):ae.left,oe=q.has(ae.right)?q.get(ae.right):ae.right;R.nodesInRelativeHorizontal.includes(se)||(R.nodesInRelativeHorizontal.push(se),R.nodeToRelativeConstraintMapHorizontal.set(se,[]),R.dummyToNodeForVerticalAlignment.has(se)?R.nodeToTempPositionMapHorizontal.set(se,R.idToNodeMap.get(R.dummyToNodeForVerticalAlignment.get(se)[0]).getCenterX()):R.nodeToTempPositionMapHorizontal.set(se,R.idToNodeMap.get(se).getCenterX())),R.nodesInRelativeHorizontal.includes(oe)||(R.nodesInRelativeHorizontal.push(oe),R.nodeToRelativeConstraintMapHorizontal.set(oe,[]),R.dummyToNodeForVerticalAlignment.has(oe)?R.nodeToTempPositionMapHorizontal.set(oe,R.idToNodeMap.get(R.dummyToNodeForVerticalAlignment.get(oe)[0]).getCenterX()):R.nodeToTempPositionMapHorizontal.set(oe,R.idToNodeMap.get(oe).getCenterX())),R.nodeToRelativeConstraintMapHorizontal.get(se).push({right:oe,gap:ae.gap}),R.nodeToRelativeConstraintMapHorizontal.get(oe).push({left:se,gap:ae.gap})}else{var Ae=P.has(ae.top)?P.get(ae.top):ae.top,pe=P.has(ae.bottom)?P.get(ae.bottom):ae.bottom;R.nodesInRelativeVertical.includes(Ae)||(R.nodesInRelativeVertical.push(Ae),R.nodeToRelativeConstraintMapVertical.set(Ae,[]),R.dummyToNodeForHorizontalAlignment.has(Ae)?R.nodeToTempPositionMapVertical.set(Ae,R.idToNodeMap.get(R.dummyToNodeForHorizontalAlignment.get(Ae)[0]).getCenterY()):R.nodeToTempPositionMapVertical.set(Ae,R.idToNodeMap.get(Ae).getCenterY())),R.nodesInRelativeVertical.includes(pe)||(R.nodesInRelativeVertical.push(pe),R.nodeToRelativeConstraintMapVertical.set(pe,[]),R.dummyToNodeForHorizontalAlignment.has(pe)?R.nodeToTempPositionMapVertical.set(pe,R.idToNodeMap.get(R.dummyToNodeForHorizontalAlignment.get(pe)[0]).getCenterY()):R.nodeToTempPositionMapVertical.set(pe,R.idToNodeMap.get(pe).getCenterY())),R.nodeToRelativeConstraintMapVertical.get(Ae).push({bottom:pe,gap:ae.gap}),R.nodeToRelativeConstraintMapVertical.get(pe).push({top:Ae,gap:ae.gap})}});else{var $=new Map,X=new Map;this.constraints.relativePlacementConstraint.forEach(function(ae){if(ae.left){var se=q.has(ae.left)?q.get(ae.left):ae.left,oe=q.has(ae.right)?q.get(ae.right):ae.right;$.has(se)?$.get(se).push(oe):$.set(se,[oe]),$.has(oe)?$.get(oe).push(se):$.set(oe,[se])}else{var Ae=P.has(ae.top)?P.get(ae.top):ae.top,pe=P.has(ae.bottom)?P.get(ae.bottom):ae.bottom;X.has(Ae)?X.get(Ae).push(pe):X.set(Ae,[pe]),X.has(pe)?X.get(pe).push(Ae):X.set(pe,[Ae])}});var ce=function(se,oe){var Ae=[],pe=[],le=new M,ke=new Set,me=0;return se.forEach(function(He,ie){if(!ke.has(ie)){Ae[me]=[],pe[me]=!1;var Ze=ie;for(le.push(Ze),ke.add(Ze),Ae[me].push(Ze);le.length!=0;){Ze=le.shift(),oe.has(Ze)&&(pe[me]=!0);var ve=se.get(Ze);ve.forEach(function(at){ke.has(at)||(le.push(at),ke.add(at),Ae[me].push(at))})}me++}}),{components:Ae,isFixed:pe}},te=ce($,R.fixedNodesOnHorizontal);this.componentsOnHorizontal=te.components,this.fixedComponentsOnHorizontal=te.isFixed;var he=ce(X,R.fixedNodesOnVertical);this.componentsOnVertical=he.components,this.fixedComponentsOnVertical=he.isFixed}}},O.prototype.updateDisplacements=function(){var R=this;if(this.constraints.fixedNodeConstraint&&this.constraints.fixedNodeConstraint.forEach(function(he){var ae=R.idToNodeMap.get(he.nodeId);ae.displacementX=0,ae.displacementY=0}),this.constraints.alignmentConstraint){if(this.constraints.alignmentConstraint.vertical)for(var G=this.constraints.alignmentConstraint.vertical,T=0;T1){var P;for(P=0;PL&&(L=Math.floor(q.y)),H=Math.floor(q.x+f.DEFAULT_COMPONENT_SEPERATION)}this.transform(new w(I.WORLD_CENTER_X-q.x/2,I.WORLD_CENTER_Y-q.y/2))},O.radialLayout=function(R,G,T){var L=Math.max(this.maxDiagonalInTree(R),f.DEFAULT_RADIAL_SEPARATION);O.branchRadialLayout(G,null,0,359,0,L);var U=S.calculateBounds(R),H=new F;H.setDeviceOrgX(U.getMinX()),H.setDeviceOrgY(U.getMinY()),H.setWorldOrgX(T.x),H.setWorldOrgY(T.y);for(var q=0;q1;){var oe=se[0];se.splice(0,1);var Ae=X.indexOf(oe);Ae>=0&&X.splice(Ae,1),he--,ce--}G!=null?ae=(X.indexOf(se[0])+1)%he:ae=0;for(var pe=Math.abs(L-T)/ce,le=ae;te!=ce;le=++le%he){var ke=X[le].getOtherEnd(R);if(ke!=G){var me=(T+te*pe)%360,He=(me+pe)%360;O.branchRadialLayout(ke,R,me,He,U+H,H),te++}}},O.maxDiagonalInTree=function(R){for(var G=D.MIN_VALUE,T=0;TG&&(G=U)}return G},O.prototype.calcRepulsionRange=function(){return 2*(this.level+1)*this.idealEdgeLength},O.prototype.groupZeroDegreeMembers=function(){var R=this,G={};this.memberGroups={},this.idToDummyNode={};for(var T=[],L=this.graphManager.getAllNodes(),U=0;U"u"&&(G[P]=[]),G[P]=G[P].concat(H)}Object.keys(G).forEach(function(j){if(G[j].length>1){var Z="DummyCompound_"+j;R.memberGroups[Z]=G[j];var $=G[j][0].getParent(),X=new p(R.graphManager);X.id=Z,X.paddingLeft=$.paddingLeft||0,X.paddingRight=$.paddingRight||0,X.paddingBottom=$.paddingBottom||0,X.paddingTop=$.paddingTop||0,R.idToDummyNode[Z]=X;var ce=R.getGraphManager().add(R.newGraph(),X),te=$.getChild();te.add(X);for(var he=0;heU?(L.rect.x-=(L.labelWidth-U)/2,L.setWidth(L.labelWidth),L.labelMarginLeft=(L.labelWidth-U)/2):L.labelPosHorizontal=="right"&&L.setWidth(U+L.labelWidth)),L.labelHeight&&(L.labelPosVertical=="top"?(L.rect.y-=L.labelHeight,L.setHeight(H+L.labelHeight),L.labelMarginTop=L.labelHeight):L.labelPosVertical=="center"&&L.labelHeight>H?(L.rect.y-=(L.labelHeight-H)/2,L.setHeight(L.labelHeight),L.labelMarginTop=(L.labelHeight-H)/2):L.labelPosVertical=="bottom"&&L.setHeight(H+L.labelHeight))}})},O.prototype.repopulateCompounds=function(){for(var R=this.compoundOrder.length-1;R>=0;R--){var G=this.compoundOrder[R],T=G.id,L=G.paddingLeft,U=G.paddingTop,H=G.labelMarginLeft,q=G.labelMarginTop;this.adjustLocations(this.tiledMemberPack[T],G.rect.x,G.rect.y,L,U,H,q)}},O.prototype.repopulateZeroDegreeMembers=function(){var R=this,G=this.tiledZeroDegreePack;Object.keys(G).forEach(function(T){var L=R.idToDummyNode[T],U=L.paddingLeft,H=L.paddingTop,q=L.labelMarginLeft,P=L.labelMarginTop;R.adjustLocations(G[T],L.rect.x,L.rect.y,U,H,q,P)})},O.prototype.getToBeTiled=function(R){var G=R.id;if(this.toBeTiled[G]!=null)return this.toBeTiled[G];var T=R.getChild();if(T==null)return this.toBeTiled[G]=!1,!1;for(var L=T.getNodes(),U=0;U0)return this.toBeTiled[G]=!1,!1;if(H.getChild()==null){this.toBeTiled[H.id]=!1;continue}if(!this.getToBeTiled(H))return this.toBeTiled[G]=!1,!1}return this.toBeTiled[G]=!0,!0},O.prototype.getNodeDegree=function(R){R.id;for(var G=R.getEdges(),T=0,L=0;L$&&($=ce.rect.height)}T+=$+R.verticalPadding}},O.prototype.tileCompoundMembers=function(R,G){var T=this;this.tiledMemberPack=[],Object.keys(R).forEach(function(L){var U=G[L];if(T.tiledMemberPack[L]=T.tileNodes(R[L],U.paddingLeft+U.paddingRight),U.rect.width=T.tiledMemberPack[L].width,U.rect.height=T.tiledMemberPack[L].height,U.setCenter(T.tiledMemberPack[L].centerX,T.tiledMemberPack[L].centerY),U.labelMarginLeft=0,U.labelMarginTop=0,f.NODE_DIMENSIONS_INCLUDE_LABELS){var H=U.rect.width,q=U.rect.height;U.labelWidth&&(U.labelPosHorizontal=="left"?(U.rect.x-=U.labelWidth,U.setWidth(H+U.labelWidth),U.labelMarginLeft=U.labelWidth):U.labelPosHorizontal=="center"&&U.labelWidth>H?(U.rect.x-=(U.labelWidth-H)/2,U.setWidth(U.labelWidth),U.labelMarginLeft=(U.labelWidth-H)/2):U.labelPosHorizontal=="right"&&U.setWidth(H+U.labelWidth)),U.labelHeight&&(U.labelPosVertical=="top"?(U.rect.y-=U.labelHeight,U.setHeight(q+U.labelHeight),U.labelMarginTop=U.labelHeight):U.labelPosVertical=="center"&&U.labelHeight>q?(U.rect.y-=(U.labelHeight-q)/2,U.setHeight(U.labelHeight),U.labelMarginTop=(U.labelHeight-q)/2):U.labelPosVertical=="bottom"&&U.setHeight(q+U.labelHeight))}})},O.prototype.tileNodes=function(R,G){var T=this.tileNodesByFavoringDim(R,G,!0),L=this.tileNodesByFavoringDim(R,G,!1),U=this.getOrgRatio(T),H=this.getOrgRatio(L),q;return HP&&(P=he.getWidth())});var j=H/U,Z=q/U,$=Math.pow(T-L,2)+4*(j+L)*(Z+T)*U,X=(L-T+Math.sqrt($))/(2*(j+L)),ce;G?(ce=Math.ceil(X),ce==X&&ce++):ce=Math.floor(X);var te=ce*(j+L)-L;return P>te&&(te=P),te+=L*2,te},O.prototype.tileNodesByFavoringDim=function(R,G,T){var L=f.TILING_PADDING_VERTICAL,U=f.TILING_PADDING_HORIZONTAL,H=f.TILING_COMPARE_BY,q={rows:[],rowWidth:[],rowHeight:[],width:0,height:G,verticalPadding:L,horizontalPadding:U,centerX:0,centerY:0};H&&(q.idealRowWidth=this.calcIdealRowWidth(R,T));var P=function(ae){return ae.rect.width*ae.rect.height},j=function(ae,se){return P(se)-P(ae)};R.sort(function(he,ae){var se=j;return q.idealRowWidth?(se=H,se(he.id,ae.id)):se(he,ae)});for(var Z=0,$=0,X=0;X0&&(q+=R.horizontalPadding),R.rowWidth[T]=q,R.width0&&(P+=R.verticalPadding);var j=0;P>R.rowHeight[T]&&(j=R.rowHeight[T],R.rowHeight[T]=P,j=R.rowHeight[T]-j),R.height+=j,R.rows[T].push(G)},O.prototype.getShortestRowIndex=function(R){for(var G=-1,T=Number.MAX_VALUE,L=0;LT&&(G=L,T=R.rowWidth[L]);return G},O.prototype.canAddHorizontal=function(R,G,T){if(R.idealRowWidth){var L=R.rows.length-1,U=R.rowWidth[L];return U+G+R.horizontalPadding<=R.idealRowWidth}var H=this.getShortestRowIndex(R);if(H<0)return!0;var q=R.rowWidth[H];if(q+R.horizontalPadding+G<=R.width)return!0;var P=0;R.rowHeight[H]0&&(P=T+R.verticalPadding-R.rowHeight[H]);var j;R.width-q>=G+R.horizontalPadding?j=(R.height+P)/(q+G+R.horizontalPadding):j=(R.height+P)/R.width,P=T+R.verticalPadding;var Z;return R.widthH&&G!=T){L.splice(-1,1),R.rows[T].push(U),R.rowWidth[G]=R.rowWidth[G]-H,R.rowWidth[T]=R.rowWidth[T]+H,R.width=R.rowWidth[instance.getLongestRowIndex(R)];for(var q=Number.MIN_VALUE,P=0;Pq&&(q=L[P].height);G>0&&(q+=R.verticalPadding);var j=R.rowHeight[G]+R.rowHeight[T];R.rowHeight[G]=q,R.rowHeight[T]0)for(var te=U;te<=H;te++)ce[0]+=this.grid[te][q-1].length+this.grid[te][q].length-1;if(H0)for(var te=q;te<=P;te++)ce[3]+=this.grid[U-1][te].length+this.grid[U][te].length-1;for(var he=D.MAX_VALUE,ae,se,oe=0;oe{var d=l(551).FDLayoutNode,u=l(551).IMath;function g(m,f,b,C){d.call(this,m,f,b,C)}g.prototype=Object.create(d.prototype);for(var p in d)g[p]=d[p];g.prototype.calculateDisplacement=function(){var m=this.graphManager.getLayout();this.getChild()!=null&&this.fixedNodeWeight?(this.displacementX+=m.coolingFactor*(this.springForceX+this.repulsionForceX+this.gravitationForceX)/this.fixedNodeWeight,this.displacementY+=m.coolingFactor*(this.springForceY+this.repulsionForceY+this.gravitationForceY)/this.fixedNodeWeight):(this.displacementX+=m.coolingFactor*(this.springForceX+this.repulsionForceX+this.gravitationForceX)/this.noOfChildren,this.displacementY+=m.coolingFactor*(this.springForceY+this.repulsionForceY+this.gravitationForceY)/this.noOfChildren),Math.abs(this.displacementX)>m.coolingFactor*m.maxNodeDisplacement&&(this.displacementX=m.coolingFactor*m.maxNodeDisplacement*u.sign(this.displacementX)),Math.abs(this.displacementY)>m.coolingFactor*m.maxNodeDisplacement&&(this.displacementY=m.coolingFactor*m.maxNodeDisplacement*u.sign(this.displacementY)),this.child&&this.child.getNodes().length>0&&this.propogateDisplacementToChildren(this.displacementX,this.displacementY)},g.prototype.propogateDisplacementToChildren=function(m,f){for(var b=this.getChild().getNodes(),C,I=0;I{function d(b){if(Array.isArray(b)){for(var C=0,I=Array(b.length);C0){var Ft=0;ot.forEach(function(re){ye=="horizontal"?(xe.set(re,B.has(re)?w[B.get(re)]:Ne.get(re)),Ft+=xe.get(re)):(xe.set(re,B.has(re)?k[B.get(re)]:Ne.get(re)),Ft+=xe.get(re))}),Ft=Ft/ot.length,Ge.forEach(function(re){Ce.has(re)||xe.set(re,Ft)})}else{var Nt=0;Ge.forEach(function(re){ye=="horizontal"?Nt+=B.has(re)?w[B.get(re)]:Ne.get(re):Nt+=B.has(re)?k[B.get(re)]:Ne.get(re)}),Nt=Nt/Ge.length,Ge.forEach(function(re){xe.set(re,Nt)})}});for(var ht=function(){var ot=nt.shift(),Ft=V.get(ot);Ft.forEach(function(Nt){if(xe.get(Nt.id)re&&(re=Vt),Ytpt&&(pt=Yt)}}catch(be){_t=!0,St=be}finally{try{!dt&&Ot.return&&Ot.return()}finally{if(_t)throw St}}var rn=(Ft+re)/2-(Nt+pt)/2,Fn=!0,vn=!1,hn=void 0;try{for(var fn=Ge[Symbol.iterator](),Gn;!(Fn=(Gn=fn.next()).done);Fn=!0){var Et=Gn.value;xe.set(Et,xe.get(Et)+rn)}}catch(be){vn=!0,hn=be}finally{try{!Fn&&fn.return&&fn.return()}finally{if(vn)throw hn}}})}return xe},K=function(V){var ye=0,Ce=0,Ne=0,Me=0;if(V.forEach(function(We){We.left?w[B.get(We.left)]-w[B.get(We.right)]>=0?ye++:Ce++:k[B.get(We.top)]-k[B.get(We.bottom)]>=0?Ne++:Me++}),ye>Ce&&Ne>Me)for(var Ue=0;UeCe)for(var Ee=0;EeMe)for(var xe=0;xe1)C.fixedNodeConstraint.forEach(function(De,V){L[V]=[De.position.x,De.position.y],U[V]=[w[B.get(De.nodeId)],k[B.get(De.nodeId)]]}),H=!0;else if(C.alignmentConstraint)(function(){var De=0;if(C.alignmentConstraint.vertical){for(var V=C.alignmentConstraint.vertical,ye=function(xe){var We=new Set;V[xe].forEach(function(Qe){We.add(Qe)});var nt=new Set([].concat(d(We)).filter(function(Qe){return P.has(Qe)})),ht=void 0;nt.size>0?ht=w[B.get(nt.values().next().value)]:ht=M(We).x,V[xe].forEach(function(Qe){L[De]=[ht,k[B.get(Qe)]],U[De]=[w[B.get(Qe)],k[B.get(Qe)]],De++})},Ce=0;Ce0?ht=w[B.get(nt.values().next().value)]:ht=M(We).y,Ne[xe].forEach(function(Qe){L[De]=[w[B.get(Qe)],ht],U[De]=[w[B.get(Qe)],k[B.get(Qe)]],De++})},Ue=0;UeX&&(X=$[te].length,ce=te);if(X0){var ct={x:0,y:0};C.fixedNodeConstraint.forEach(function(De,V){var ye={x:w[B.get(De.nodeId)],y:k[B.get(De.nodeId)]},Ce=De.position,Ne=F(Ce,ye);ct.x+=Ne.x,ct.y+=Ne.y}),ct.x/=C.fixedNodeConstraint.length,ct.y/=C.fixedNodeConstraint.length,w.forEach(function(De,V){w[V]+=ct.x}),k.forEach(function(De,V){k[V]+=ct.y}),C.fixedNodeConstraint.forEach(function(De){w[B.get(De.nodeId)]=De.position.x,k[B.get(De.nodeId)]=De.position.y})}if(C.alignmentConstraint){if(C.alignmentConstraint.vertical)for(var Oe=C.alignmentConstraint.vertical,st=function(V){var ye=new Set;Oe[V].forEach(function(Me){ye.add(Me)});var Ce=new Set([].concat(d(ye)).filter(function(Me){return P.has(Me)})),Ne=void 0;Ce.size>0?Ne=w[B.get(Ce.values().next().value)]:Ne=M(ye).x,ye.forEach(function(Me){P.has(Me)||(w[B.get(Me)]=Ne)})},qe=0;qe0?Ne=k[B.get(Ce.values().next().value)]:Ne=M(ye).y,ye.forEach(function(Me){P.has(Me)||(k[B.get(Me)]=Ne)})},_e=0;_e{o.exports=n})},r={};function i(o){var s=r[o];if(s!==void 0)return s.exports;var l=r[o]={exports:{}};return a[o](l,l.exports,i),l.exports}var A=i(45);return A})()})})(D1)),D1.exports}var bPt=v1.exports,Xue;function CPt(){return Xue||(Xue=1,(function(t,e){(function(a,r){t.exports=r(fPt())})(bPt,function(n){return(()=>{var a={658:(o=>{o.exports=Object.assign!=null?Object.assign.bind(Object):function(s){for(var l=arguments.length,d=Array(l>1?l-1:0),u=1;u{var d=(function(){function p(m,f){var b=[],C=!0,I=!1,B=void 0;try{for(var w=m[Symbol.iterator](),k;!(C=(k=w.next()).done)&&(b.push(k.value),!(f&&b.length===f));C=!0);}catch(_){I=!0,B=_}finally{try{!C&&w.return&&w.return()}finally{if(I)throw B}}return b}return function(m,f){if(Array.isArray(m))return m;if(Symbol.iterator in Object(m))return p(m,f);throw new TypeError("Invalid attempt to destructure non-iterable instance")}})(),u=l(140).layoutBase.LinkedList,g={};g.getTopMostNodes=function(p){for(var m={},f=0;f0&&H.merge(Z)});for(var q=0;q1){k=B[0],_=k.connectedEdges().length,B.forEach(function(U){U.connectedEdges().length<_&&(_=U.connectedEdges().length,k=U)}),S.push(k.id());var L=p.collection();L.merge(B[0]),B.forEach(function(U){L.merge(U)}),B=[],f=f.difference(L),x++}};do M();while(!D);return b&&S.length>0&&b.set("dummy"+(b.size+1),S),F},g.relocateComponent=function(p,m,f){if(!f.fixedNodeConstraint){var b=Number.POSITIVE_INFINITY,C=Number.NEGATIVE_INFINITY,I=Number.POSITIVE_INFINITY,B=Number.NEGATIVE_INFINITY;if(f.quality=="draft"){var w=!0,k=!1,_=void 0;try{for(var D=m.nodeIndexes[Symbol.iterator](),x;!(w=(x=D.next()).done);w=!0){var S=x.value,F=d(S,2),M=F[0],O=F[1],K=f.cy.getElementById(M);if(K){var R=K.boundingBox(),G=m.xCoords[O]-R.w/2,T=m.xCoords[O]+R.w/2,L=m.yCoords[O]-R.h/2,U=m.yCoords[O]+R.h/2;GC&&(C=T),LB&&(B=U)}}}catch(Z){k=!0,_=Z}finally{try{!w&&D.return&&D.return()}finally{if(k)throw _}}var H=p.x-(C+b)/2,q=p.y-(B+I)/2;m.xCoords=m.xCoords.map(function(Z){return Z+H}),m.yCoords=m.yCoords.map(function(Z){return Z+q})}else{Object.keys(m).forEach(function(Z){var $=m[Z],X=$.getRect().x,ce=$.getRect().x+$.getRect().width,te=$.getRect().y,he=$.getRect().y+$.getRect().height;XC&&(C=ce),teB&&(B=he)});var P=p.x-(C+b)/2,j=p.y-(B+I)/2;Object.keys(m).forEach(function(Z){var $=m[Z];$.setCenter($.getCenterX()+P,$.getCenterY()+j)})}}},g.calcBoundingBox=function(p,m,f,b){for(var C=Number.MAX_SAFE_INTEGER,I=Number.MIN_SAFE_INTEGER,B=Number.MAX_SAFE_INTEGER,w=Number.MIN_SAFE_INTEGER,k=void 0,_=void 0,D=void 0,x=void 0,S=p.descendants().not(":parent"),F=S.length,M=0;Mk&&(C=k),I<_&&(I=_),B>D&&(B=D),w{var d=l(548),u=l(140).CoSELayout,g=l(140).CoSENode,p=l(140).layoutBase.PointD,m=l(140).layoutBase.DimensionD,f=l(140).layoutBase.LayoutConstants,b=l(140).layoutBase.FDLayoutConstants,C=l(140).CoSEConstants,I=function(w,k){var _=w.cy,D=w.eles,x=D.nodes(),S=D.edges(),F=void 0,M=void 0,O=void 0,K={};w.randomize&&(F=k.nodeIndexes,M=k.xCoords,O=k.yCoords);var R=function(Z){return typeof Z=="function"},G=function(Z,$){return R(Z)?Z($):Z},T=d.calcParentsWithoutChildren(_,D),L=function j(Z,$,X,ce){for(var te=$.length,he=0;he0){var le=void 0;le=X.getGraphManager().add(X.newGraph(),oe),j(le,se,X,ce)}}},U=function(Z,$,X){for(var ce=0,te=0,he=0;he0?C.DEFAULT_EDGE_LENGTH=b.DEFAULT_EDGE_LENGTH=ce/te:R(w.idealEdgeLength)?C.DEFAULT_EDGE_LENGTH=b.DEFAULT_EDGE_LENGTH=50:C.DEFAULT_EDGE_LENGTH=b.DEFAULT_EDGE_LENGTH=w.idealEdgeLength,C.MIN_REPULSION_DIST=b.MIN_REPULSION_DIST=b.DEFAULT_EDGE_LENGTH/10,C.DEFAULT_RADIAL_SEPARATION=b.DEFAULT_EDGE_LENGTH)},H=function(Z,$){$.fixedNodeConstraint&&(Z.constraints.fixedNodeConstraint=$.fixedNodeConstraint),$.alignmentConstraint&&(Z.constraints.alignmentConstraint=$.alignmentConstraint),$.relativePlacementConstraint&&(Z.constraints.relativePlacementConstraint=$.relativePlacementConstraint)};w.nestingFactor!=null&&(C.PER_LEVEL_IDEAL_EDGE_LENGTH_FACTOR=b.PER_LEVEL_IDEAL_EDGE_LENGTH_FACTOR=w.nestingFactor),w.gravity!=null&&(C.DEFAULT_GRAVITY_STRENGTH=b.DEFAULT_GRAVITY_STRENGTH=w.gravity),w.numIter!=null&&(C.MAX_ITERATIONS=b.MAX_ITERATIONS=w.numIter),w.gravityRange!=null&&(C.DEFAULT_GRAVITY_RANGE_FACTOR=b.DEFAULT_GRAVITY_RANGE_FACTOR=w.gravityRange),w.gravityCompound!=null&&(C.DEFAULT_COMPOUND_GRAVITY_STRENGTH=b.DEFAULT_COMPOUND_GRAVITY_STRENGTH=w.gravityCompound),w.gravityRangeCompound!=null&&(C.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR=b.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR=w.gravityRangeCompound),w.initialEnergyOnIncremental!=null&&(C.DEFAULT_COOLING_FACTOR_INCREMENTAL=b.DEFAULT_COOLING_FACTOR_INCREMENTAL=w.initialEnergyOnIncremental),w.tilingCompareBy!=null&&(C.TILING_COMPARE_BY=w.tilingCompareBy),w.quality=="proof"?f.QUALITY=2:f.QUALITY=0,C.NODE_DIMENSIONS_INCLUDE_LABELS=b.NODE_DIMENSIONS_INCLUDE_LABELS=f.NODE_DIMENSIONS_INCLUDE_LABELS=w.nodeDimensionsIncludeLabels,C.DEFAULT_INCREMENTAL=b.DEFAULT_INCREMENTAL=f.DEFAULT_INCREMENTAL=!w.randomize,C.ANIMATE=b.ANIMATE=f.ANIMATE=w.animate,C.TILE=w.tile,C.TILING_PADDING_VERTICAL=typeof w.tilingPaddingVertical=="function"?w.tilingPaddingVertical.call():w.tilingPaddingVertical,C.TILING_PADDING_HORIZONTAL=typeof w.tilingPaddingHorizontal=="function"?w.tilingPaddingHorizontal.call():w.tilingPaddingHorizontal,C.DEFAULT_INCREMENTAL=b.DEFAULT_INCREMENTAL=f.DEFAULT_INCREMENTAL=!0,C.PURE_INCREMENTAL=!w.randomize,f.DEFAULT_UNIFORM_LEAF_NODE_SIZES=w.uniformNodeDimensions,w.step=="transformed"&&(C.TRANSFORM_ON_CONSTRAINT_HANDLING=!0,C.ENFORCE_CONSTRAINTS=!1,C.APPLY_LAYOUT=!1),w.step=="enforced"&&(C.TRANSFORM_ON_CONSTRAINT_HANDLING=!1,C.ENFORCE_CONSTRAINTS=!0,C.APPLY_LAYOUT=!1),w.step=="cose"&&(C.TRANSFORM_ON_CONSTRAINT_HANDLING=!1,C.ENFORCE_CONSTRAINTS=!1,C.APPLY_LAYOUT=!0),w.step=="all"&&(w.randomize?C.TRANSFORM_ON_CONSTRAINT_HANDLING=!0:C.TRANSFORM_ON_CONSTRAINT_HANDLING=!1,C.ENFORCE_CONSTRAINTS=!0,C.APPLY_LAYOUT=!0),w.fixedNodeConstraint||w.alignmentConstraint||w.relativePlacementConstraint?C.TREE_REDUCTION_ON_INCREMENTAL=!1:C.TREE_REDUCTION_ON_INCREMENTAL=!0;var q=new 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0)),D.relativePlacementConstraint&&(!Array.isArray(D.relativePlacementConstraint)||D.relativePlacementConstraint.length==0)&&(D.relativePlacementConstraint=void 0);var R=D.fixedNodeConstraint||D.alignmentConstraint||D.relativePlacementConstraint;R&&(D.tile=!1,D.packComponents=!1);var G=void 0,T=!1;if(x.layoutUtilities&&D.packComponents&&(G=x.layoutUtilities("get"),G||(G=x.layoutUtilities()),T=!0),S.nodes().length>0)if(T){var H=p.getTopMostNodes(D.eles.nodes());if(O=p.connectComponents(x,D.eles,H),O.forEach(function(He){var ie=He.boundingBox();K.push({x:ie.x1+ie.w/2,y:ie.y1+ie.h/2})}),D.randomize&&O.forEach(function(He){D.eles=He,F.push(f(D))}),D.quality=="default"||D.quality=="proof"){var q=x.collection();if(D.tile){var P=new Map,j=[],Z=[],$=0,X={nodeIndexes:P,xCoords:j,yCoords:Z},ce=[];if(O.forEach(function(He,ie){He.edges().length==0&&(He.nodes().forEach(function(Ze,ve){q.merge(He.nodes()[ve]),Ze.isParent()||(X.nodeIndexes.set(He.nodes()[ve].id(),$++),X.xCoords.push(He.nodes()[0].position().x),X.yCoords.push(He.nodes()[0].position().y))}),ce.push(ie))}),q.length>1){var te=q.boundingBox();K.push({x:te.x1+te.w/2,y:te.y1+te.h/2}),O.push(q),F.push(X);for(var he=ce.length-1;he>=0;he--)O.splice(ce[he],1),F.splice(ce[he],1),K.splice(ce[he],1)}}O.forEach(function(He,ie){D.eles=He,M.push(C(D,F[ie])),p.relocateComponent(K[ie],M[ie],D)})}else O.forEach(function(He,ie){p.relocateComponent(K[ie],F[ie],D)});var ae=new Set;if(O.length>1){var se=[],oe=S.filter(function(He){return He.css("display")=="none"});O.forEach(function(He,ie){var Ze=void 0;if(D.quality=="draft"&&(Ze=F[ie].nodeIndexes),He.nodes().not(oe).length>0){var ve={};ve.edges=[],ve.nodes=[];var at=void 0;He.nodes().not(oe).forEach(function(rt){if(D.quality=="draft")if(!rt.isParent())at=Ze.get(rt.id()),ve.nodes.push({x:F[ie].xCoords[at]-rt.boundingbox().w/2,y:F[ie].yCoords[at]-rt.boundingbox().h/2,width:rt.boundingbox().w,height:rt.boundingbox().h});else{var ct=p.calcBoundingBox(rt,F[ie].xCoords,F[ie].yCoords,Ze);ve.nodes.push({x:ct.topLeftX,y:ct.topLeftY,width:ct.width,height:ct.height})}else M[ie][rt.id()]&&ve.nodes.push({x:M[ie][rt.id()].getLeft(),y:M[ie][rt.id()].getTop(),width:M[ie][rt.id()].getWidth(),height:M[ie][rt.id()].getHeight()})}),He.edges().forEach(function(rt){var ct=rt.source(),Oe=rt.target();if(ct.css("display")!="none"&&Oe.css("display")!="none")if(D.quality=="draft"){var st=Ze.get(ct.id()),qe=Ze.get(Oe.id()),ze=[],At=[];if(ct.isParent()){var _e=p.calcBoundingBox(ct,F[ie].xCoords,F[ie].yCoords,Ze);ze.push(_e.topLeftX+_e.width/2),ze.push(_e.topLeftY+_e.height/2)}else ze.push(F[ie].xCoords[st]),ze.push(F[ie].yCoords[st]);if(Oe.isParent()){var et=p.calcBoundingBox(Oe,F[ie].xCoords,F[ie].yCoords,Ze);At.push(et.topLeftX+et.width/2),At.push(et.topLeftY+et.height/2)}else At.push(F[ie].xCoords[qe]),At.push(F[ie].yCoords[qe]);ve.edges.push({startX:ze[0],startY:ze[1],endX:At[0],endY:At[1]})}else M[ie][ct.id()]&&M[ie][Oe.id()]&&ve.edges.push({startX:M[ie][ct.id()].getCenterX(),startY:M[ie][ct.id()].getCenterY(),endX:M[ie][Oe.id()].getCenterX(),endY:M[ie][Oe.id()].getCenterY()})}),ve.nodes.length>0&&(se.push(ve),ae.add(ie))}});var Ae=G.packComponents(se,D.randomize).shifts;if(D.quality=="draft")F.forEach(function(He,ie){var Ze=He.xCoords.map(function(at){return at+Ae[ie].dx}),ve=He.yCoords.map(function(at){return at+Ae[ie].dy});He.xCoords=Ze,He.yCoords=ve});else{var pe=0;ae.forEach(function(He){Object.keys(M[He]).forEach(function(ie){var Ze=M[He][ie];Ze.setCenter(Ze.getCenterX()+Ae[pe].dx,Ze.getCenterY()+Ae[pe].dy)}),pe++})}}}else{var L=D.eles.boundingBox();if(K.push({x:L.x1+L.w/2,y:L.y1+L.h/2}),D.randomize){var U=f(D);F.push(U)}D.quality=="default"||D.quality=="proof"?(M.push(C(D,F[0])),p.relocateComponent(K[0],M[0],D)):p.relocateComponent(K[0],F[0],D)}var le=function(ie,Ze){if(D.quality=="default"||D.quality=="proof"){typeof ie=="number"&&(ie=Ze);var ve=void 0,at=void 0,rt=ie.data("id");return M.forEach(function(Oe){rt in Oe&&(ve={x:Oe[rt].getRect().getCenterX(),y:Oe[rt].getRect().getCenterY()},at=Oe[rt])}),D.nodeDimensionsIncludeLabels&&(at.labelWidth&&(at.labelPosHorizontal=="left"?ve.x+=at.labelWidth/2:at.labelPosHorizontal=="right"&&(ve.x-=at.labelWidth/2)),at.labelHeight&&(at.labelPosVertical=="top"?ve.y+=at.labelHeight/2:at.labelPosVertical=="bottom"&&(ve.y-=at.labelHeight/2))),ve==null&&(ve={x:ie.position("x"),y:ie.position("y")}),{x:ve.x,y:ve.y}}else{var ct=void 0;return F.forEach(function(Oe){var st=Oe.nodeIndexes.get(ie.id());st!=null&&(ct={x:Oe.xCoords[st],y:Oe.yCoords[st]})}),ct==null&&(ct={x:ie.position("x"),y:ie.position("y")}),{x:ct.x,y:ct.y}}};if(D.quality=="default"||D.quality=="proof"||D.randomize){var ke=p.calcParentsWithoutChildren(x,S),me=S.filter(function(He){return He.css("display")=="none"});D.eles=S.not(me),S.nodes().not(":parent").not(me).layoutPositions(_,D,le),ke.length>0&&ke.forEach(function(He){He.position(le(He))})}else console.log("If randomize option is set to false, then quality option must be 'default' or 'proof'.")}}]),w})();o.exports=B}),657:((o,s,l)=>{var d=l(548),u=l(140).layoutBase.Matrix,g=l(140).layoutBase.SVD,p=function(f){var b=f.cy,C=f.eles,I=C.nodes(),B=C.nodes(":parent"),w=new Map,k=new Map,_=new Map,D=[],x=[],S=[],F=[],M=[],O=[],K=[],R=[],G=void 0,T=1e8,L=1e-9,U=f.piTol,H=f.samplingType,q=f.nodeSeparation,P=void 0,j=function(){for(var V=0,ye=0,Ce=!1;ye=Me;){Ee=Ne[Me++];for(var Ye=D[Ee],Ge=0;Gent&&(nt=M[Ft],ht=Ft)}return ht},$=function(V){var ye=void 0;if(V){ye=Math.floor(Math.random()*G);for(var Ne=0;Ne=1)break;We=xe}for(var Qe=0;Qe=1)break;We=xe}for(var Ge=0;Ge0&&(ye.isParent()?D[V].push(_.get(ye.id())):D[V].push(ye.id()))})});var me=function(V){var ye=k.get(V),Ce=void 0;w.get(V).forEach(function(Ne){b.getElementById(Ne).isParent()?Ce=_.get(Ne):Ce=Ne,D[ye].push(Ce),D[k.get(Ce)].push(V)})},He=!0,ie=!1,Ze=void 0;try{for(var ve=w.keys()[Symbol.iterator](),at;!(He=(at=ve.next()).done);He=!0){var rt=at.value;me(rt)}}catch(De){ie=!0,Ze=De}finally{try{!He&&ve.return&&ve.return()}finally{if(ie)throw Ze}}G=k.size;var ct=void 0;if(G>2){P=G{var d=l(212),u=function(p){p&&p("layout","fcose",d)};typeof cytoscape<"u"&&u(cytoscape),o.exports=u}),140:(o=>{o.exports=n})},r={};function i(o){var s=r[o];if(s!==void 0)return s.exports;var l=r[o]={exports:{}};return a[o](l,l.exports,i),l.exports}var A=i(579);return A})()})})(v1)),v1.exports}var EPt=CPt();const IPt=Kc(EPt);var 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This is due to a bug within Mermaid, please report this issue at https://github.com/mermaid-js/mermaid/issues.");_Pt(e,n)},"parse")},RPt=v(t=>` + .edge { + stroke-width: ${t.archEdgeWidth}; + stroke: ${t.archEdgeColor}; + fill: none; + } + + .arrow { + fill: ${t.archEdgeArrowColor}; + } + + .node-bkg { + fill: none; + stroke: ${t.archGroupBorderColor}; + stroke-width: ${t.archGroupBorderWidth}; + stroke-dasharray: 8; + } + .node-icon-text { + display: flex; + align-items: center; + } + + .node-icon-text > div { + color: #fff; + margin: 1px; + height: fit-content; + text-align: center; + overflow: hidden; + display: -webkit-box; + -webkit-box-orient: vertical; + } +`,"getStyles"),NPt=RPt,qb=v(t=>`${t}`,"wrapIcon"),Lw={prefix:"mermaid-architecture",height:80,width:80,icons:{database:{body:qb('')},server:{body:qb('')},disk:{body:qb('')},internet:{body:qb('')},cloud:{body:qb('')},unknown:Kbe,blank:{body:qb("")}}},MPt=v(async function(t,e,n){const 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a=Xe();for(const r of n){const i=e.append("g"),A=t.getConfigField("iconSize");if(r.title){const d=i.append("g");await zs(d,r.title,{useHtmlLabels:!1,width:A*1.5,classes:"architecture-service-label"},a),d.attr("dy","1em").attr("alignment-baseline","middle").attr("dominant-baseline","middle").attr("text-anchor","middle"),d.attr("transform","translate("+A/2+", "+A+")")}const o=i.append("g");if(r.icon)o.html(`${await xp(r.icon,{height:A,width:A,fallbackPrefix:Lw.prefix})}`);else if(r.iconText){o.html(`${await xp("blank",{height:A,width:A,fallbackPrefix:Lw.prefix})}`);const g=o.append("g").append("foreignObject").attr("width",A).attr("height",A).append("div").attr("class","node-icon-text").attr("style",`height: ${A}px;`).append("div").html(Ta(r.iconText,a)),p=parseInt(window.getComputedStyle(g.node(),null).getPropertyValue("font-size").replace(/\D/g,""))??16;g.attr("style",`-webkit-line-clamp: ${Math.floor((A-2)/p)};`)}else 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N2e(t,e,n){t.forEach(a=>{e.add({group:"nodes",data:{type:"junction",id:a.id,parent:a.in,width:n.getConfigField("iconSize"),height:n.getConfigField("iconSize")},classes:"node-junction"})})}v(N2e,"addJunctions");function M2e(t,e){e.nodes().map(n=>{const a=pC(n);if(a.type==="group")return;a.x=n.position().x,a.y=n.position().y,t.getElementById(a.id).attr("transform","translate("+(a.x||0)+","+(a.y||0)+")")})}v(M2e,"positionNodes");function F2e(t,e){t.forEach(n=>{e.add({group:"nodes",data:{type:"group",id:n.id,icon:n.icon,label:n.title,parent:n.in},classes:"node-group"})})}v(F2e,"addGroups");function L2e(t,e){t.forEach(n=>{const{lhsId:a,rhsId:r,lhsInto:i,lhsGroup:A,rhsInto:o,lhsDir:s,rhsDir:l,rhsGroup:d,title:u}=n,g=qj(n.lhsDir,n.rhsDir)?"segments":"straight",p={id:`${a}-${r}`,label:u,source:a,sourceDir:s,sourceArrow:i,sourceGroup:A,sourceEndpoint:s==="L"?"0 50%":s==="R"?"100% 50%":s==="T"?"50% 0":"50% 100%",target:r,targetDir:l,targetArrow:o,targetGroup:d,targetEndpoint:l==="L"?"0 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s=Jt("body").append("div").attr("id","cy").attr("style","display:none"),l=vd({container:document.getElementById("cy"),style:[{selector:"edge",style:{"curve-style":"straight",label:"data(label)","source-endpoint":"data(sourceEndpoint)","target-endpoint":"data(targetEndpoint)"}},{selector:"edge.segments",style:{"curve-style":"segments","segment-weights":"0","segment-distances":[.5],"edge-distances":"endpoints","source-endpoint":"data(sourceEndpoint)","target-endpoint":"data(targetEndpoint)"}},{selector:"node",style:{"compound-sizing-wrt-labels":"include"}},{selector:"node[label]",style:{"text-valign":"bottom","text-halign":"center","font-size":`${r.getConfigField("fontSize")}px`}},{selector:".node-service",style:{label:"data(label)",width:"data(width)",height:"data(height)"}},{selector:".node-junction",style:{width:"data(width)",height:"data(height)"}},{selector:".node-group",style:{padding:`${r.getConfigField("padding")}px`}}],layout:{name:"grid",boundingBox:{x1:0,x2:100,y1:0,y2:100}}});s.remove(),F2e(n,l),R2e(t,l,r),N2e(e,l,r),L2e(a,l);const d=T2e(r,i,A),u=G2e(i,r),g=l.layout({name:"fcose",quality:"proof",styleEnabled:!1,animate:!1,nodeDimensionsIncludeLabels:!1,idealEdgeLength(p){const[m,f]=p.connectedNodes(),{parent:b}=pC(m),{parent:C}=pC(f);return b===C?1.5*r.getConfigField("iconSize"):.5*r.getConfigField("iconSize")},edgeElasticity(p){const[m,f]=p.connectedNodes(),{parent:b}=pC(m),{parent:C}=pC(f);return b===C?.45:.001},alignmentConstraint:d,relativePlacementConstraint:u});g.one("layoutstop",()=>{function p(m,f,b,C){let I,B;const{x:w,y:k}=m,{x:_,y:D}=f;B=(C-k+(w-b)*(k-D)/(w-_))/Math.sqrt(1+Math.pow((k-D)/(w-_),2)),I=Math.sqrt(Math.pow(C-k,2)+Math.pow(b-w,2)-Math.pow(B,2));const x=Math.sqrt(Math.pow(_-w,2)+Math.pow(D-k,2));I=I/x;let S=(_-w)*(C-k)-(D-k)*(b-w);switch(!0){case S>=0:S=1;break;case S<0:S=-1;break}let F=(_-w)*(b-w)+(D-k)*(C-k);switch(!0){case F>=0:F=1;break;case F<0:F=-1;break}return B=Math.abs(B)*S,I=I*F,{distances:B,weights:I}}v(p,"getSegmentWeights"),l.startBatch();for(const m of 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200)}.theme-quantum-rose.light{--background:#fff0f8;--foreground:#91185c;--card:#fff7fc;--card-foreground:#91185c;--popover:#fff7fc;--popover-foreground:#91185c;--primary:#e6067a;--primary-foreground:#fff;--secondary:#ffd6ff;--secondary-foreground:#91185c;--muted:#ffe3f2;--muted-foreground:#c04283;--accent:#ffc1e3;--accent-foreground:#91185c;--destructive:#d13869;--destructive-foreground:#fff;--border:#ffc7e6;--input:#ffd6ff;--ring:#e6067a;--chart-1:#e6067a;--chart-2:#c44b97;--chart-3:#9969b6;--chart-4:#7371bf;--chart-5:#5e84ff;--sidebar:#ffedf6;--sidebar-foreground:#91185c;--sidebar-primary:#e6067a;--sidebar-primary-foreground:#fff;--sidebar-accent:#ffc1e3;--sidebar-accent-foreground:#91185c;--sidebar-border:#ffddf0;--sidebar-ring:#e6067a;--font-sans:Poppins,sans-serif;--font-serif:Playfair Display,serif;--font-mono:Space Mono,monospace;--radius:.625rem;--shadow-2xs:0px 3px 0px 0px #82174d17;--shadow-xs:0px 3px 0px 0px #82174d17;--shadow-sm:0px 3px 0px 0px #82174d2e,0px 1px 2px -1px 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"plannotator_submit_plan"], + "statusLabel": "⏸ plan", + "systemPrompt": "[PLANNOTATOR - PLANNING PHASE]\nYou are in plan mode. You MUST NOT make any changes to the codebase — no edits, no commits, no installs, no destructive commands. During planning you may only write or edit markdown files (.md, .mdx) inside the working directory.\n\nAvailable tools: read, bash, grep, find, ls, write (markdown only), edit (markdown only), plannotator_submit_plan\n\nDo not run destructive bash commands (rm, git push, npm install, etc.) — focus on reading and exploring the codebase. Web fetching (curl, wget) is fine.\n\n## Iterative Planning Workflow\n\nYou are pair-planning with the user. Explore the code to build context, then write your findings into a markdown plan file as you go. The plan starts as a rough skeleton and gradually becomes the final plan.\n\n### Picking a plan file\n\nChoose a descriptive filename for your plan. Convention: `PLAN.md` at the repo root for a single focused plan, or `plans/<short-name>.md` for projects that keep multiple plans. Reuse the same filename across revisions of the same plan so version history links up.\n\n### The Loop\n\nRepeat this cycle until the plan is complete:\n\n1. **Explore** — Use read, grep, find, ls, and bash to understand the codebase. Actively search for existing functions, utilities, and patterns that can be reused — avoid proposing new code when suitable implementations already exist.\n2. **Update the plan file** — After each discovery, immediately capture what you learned in the plan. Don't wait until the end. Use write for the initial draft, then edit for all subsequent updates.\n3. **Ask the user** — When you hit an ambiguity or decision you can't resolve from code alone, ask. Then go back to step 1.\n\n### First Turn\n\nStart by quickly scanning key files to form an initial understanding of the task scope. Then write a skeleton plan (headers and rough notes) and ask the user your first round of questions. Don't explore exhaustively before engaging the user.\n\n### Asking Good Questions\n\n- Never ask what you could find out by reading the code.\n- Batch related questions together.\n- Focus on things only the user can answer: requirements, preferences, tradeoffs, edge-case priorities.\n- Scale depth to the task — a vague feature request needs many rounds; a focused bug fix may need one or none.\n\n### Plan File Structure\n\nYour plan file should use markdown with clear sections:\n- **Context** — Why this change is being made: the problem, what prompted it, the intended outcome.\n- **Approach** — Your recommended approach only, not all alternatives considered.\n- **Files to modify** — List the critical file paths that will be changed.\n- **Reuse** — Reference existing functions and utilities you found, with their file paths.\n- **Steps** — Implementation checklist:\n - [ ] Step 1 description\n - [ ] Step 2 description\n- **Verification** — How to test the changes end-to-end (run the code, run tests, manual checks).\n\nKeep the plan concise enough to scan quickly, but detailed enough to execute effectively.\n\n### When to Submit\n\nYour plan is ready when you've addressed all ambiguities and it covers: what to change, which files to modify, what existing code to reuse, and how to verify. Call plannotator_submit_plan with the path to your plan file to submit for review.\n\n### Revising After Feedback\n\nWhen the user denies a plan with feedback:\n1. Read the plan file to see the current plan.\n2. Use the edit tool to make targeted changes addressing the feedback — do NOT rewrite the entire file.\n3. Call plannotator_submit_plan again with the same filePath to resubmit.\n\n### Ending Your Turn\n\nYour turn should only end by either:\n- Asking the user a question to gather more information.\n- Calling plannotator_submit_plan when the plan is ready for review.\n\nDo not end your turn without doing one of these two things." + }, + "executing": { + "systemPrompt": "[PLANNOTATOR - EXECUTING PLAN]\nFull tool access is enabled. Execute the plan from ${planFilePath}.\n\nRemaining steps:\n${todoList}\n\nExecute each step in order. After completing a step, include [DONE:n] in your response where n is the step number." + } + } +} diff --git a/extensions/plannotator/review-editor.html b/extensions/plannotator/review-editor.html new file mode 100644 index 0000000..6af755a --- /dev/null +++ b/extensions/plannotator/review-editor.html @@ -0,0 +1,4961 @@ +<!DOCTYPE html> +<html lang="en"> + <head> + <meta charset="UTF-8" /> + <meta name="viewport" content="width=device-width, initial-scale=1.0" /> + <title>Code Review + + + + + + + + + + + +
+ + diff --git a/extensions/plannotator/server.test.ts b/extensions/plannotator/server.test.ts new file mode 100644 index 0000000..34eb794 --- /dev/null +++ b/extensions/plannotator/server.test.ts @@ -0,0 +1,443 @@ +import { afterEach, describe, expect, test } from "bun:test"; +import { spawnSync } from "node:child_process"; +import { mkdtempSync, rmSync, writeFileSync } from "node:fs"; +import { createServer as createNetServer } from "node:net"; +import { tmpdir } from "node:os"; +import { join } from "node:path"; +import { getGitContext, runGitDiff, startReviewServer } from "./server"; + +const tempDirs: string[] = []; +const originalCwd = process.cwd(); +const originalHome = process.env.HOME; +const originalPort = process.env.PLANNOTATOR_PORT; + +function makeTempDir(prefix: string): string { + const dir = mkdtempSync(join(tmpdir(), prefix)); + tempDirs.push(dir); + return dir; +} + +function git(cwd: string, args: string[]): string { + const result = spawnSync("git", args, { cwd, encoding: "utf-8" }); + if (result.status !== 0) { + throw new Error(result.stderr || `git ${args.join(" ")} failed`); + } + return result.stdout.trim(); +} + +function initRepo(): string { + const repoDir = makeTempDir("plannotator-pi-review-"); + git(repoDir, ["init"]); + git(repoDir, ["branch", "-M", "main"]); + git(repoDir, ["config", "user.email", "pi-review@example.com"]); + git(repoDir, ["config", "user.name", "Pi Review"]); + + writeFileSync(join(repoDir, "tracked.txt"), "before\n", "utf-8"); + git(repoDir, ["add", "tracked.txt"]); + git(repoDir, ["commit", "-m", "initial"]); + + return repoDir; +} + +function reservePort(): Promise { + return new Promise((resolve, reject) => { + const server = createNetServer(); + server.once("error", reject); + server.listen(0, "127.0.0.1", () => { + const address = server.address(); + if (!address || typeof address === "string") { + server.close(); + reject(new Error("Failed to reserve test port")); + return; + } + + const { port } = address; + server.close((error) => { + if (error) { + reject(error); + return; + } + resolve(port); + }); + }); + }); +} + +afterEach(() => { + process.chdir(originalCwd); + if (originalHome === undefined) { + delete process.env.HOME; + } else { + process.env.HOME = originalHome; + } + if (originalPort === undefined) { + delete process.env.PLANNOTATOR_PORT; + } else { + process.env.PLANNOTATOR_PORT = originalPort; + } + + for (const dir of tempDirs.splice(0)) { + rmSync(dir, { recursive: true, force: true }); + } +}); + +describe("pi review server", () => { + test("serves review diff parity endpoints including drafts, uploads, and editor annotations", async () => { + const homeDir = makeTempDir("plannotator-pi-home-"); + const repoDir = initRepo(); + process.env.HOME = homeDir; + process.chdir(repoDir); + process.env.PLANNOTATOR_PORT = String(await reservePort()); + + writeFileSync(join(repoDir, "tracked.txt"), "after\n", "utf-8"); + writeFileSync(join(repoDir, "untracked.txt"), "brand new\n", "utf-8"); + + const gitContext = await getGitContext(); + const diff = await runGitDiff("uncommitted", gitContext.defaultBranch); + + const server = await startReviewServer({ + rawPatch: diff.patch, + gitRef: diff.label, + error: diff.error, + diffType: "uncommitted", + gitContext, + origin: "pi", + htmlContent: "review", + }); + + try { + const diffResponse = await fetch(`${server.url}/api/diff`); + expect(diffResponse.status).toBe(200); + const diffPayload = await diffResponse.json() as { + rawPatch: string; + gitContext?: { diffOptions: Array<{ id: string }> }; + origin?: string; + repoInfo?: { display: string }; + }; + expect(diffPayload.origin).toBe("pi"); + expect(diffPayload.rawPatch).toContain("diff --git a/untracked.txt b/untracked.txt"); + expect(diffPayload.gitContext?.diffOptions.map((option) => option.id)).toEqual( + expect.arrayContaining(["uncommitted", "staged", "unstaged", "last-commit"]), + ); + expect(diffPayload.repoInfo?.display).toBeTruthy(); + + const fileContentResponse = await fetch(`${server.url}/api/file-content?path=tracked.txt`); + const fileContent = await fileContentResponse.json() as { + oldContent: string | null; + newContent: string | null; + }; + expect(fileContent.oldContent).toBe("before\n"); + expect(fileContent.newContent).toBe("after\n"); + + const draftBody = { annotations: [{ id: "draft-1" }] }; + const draftSave = await fetch(`${server.url}/api/draft`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify(draftBody), + }); + expect(draftSave.status).toBe(200); + + const draftLoad = await fetch(`${server.url}/api/draft`); + expect(draftLoad.status).toBe(200); + expect(await draftLoad.json()).toEqual(draftBody); + + const annotationCreate = await fetch(`${server.url}/api/editor-annotation`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + filePath: "tracked.txt", + selectedText: "after", + lineStart: 1, + lineEnd: 1, + comment: "Check wording", + }), + }); + expect(annotationCreate.status).toBe(200); + const createdAnnotation = await annotationCreate.json() as { id: string }; + expect(createdAnnotation.id).toBeTruthy(); + + const annotationsList = await fetch(`${server.url}/api/editor-annotations`); + const annotationsPayload = await annotationsList.json() as { annotations: Array<{ id: string }> }; + expect(annotationsPayload.annotations).toHaveLength(1); + expect(annotationsPayload.annotations[0].id).toBe(createdAnnotation.id); + + const annotationDelete = await fetch( + `${server.url}/api/editor-annotation?id=${encodeURIComponent(createdAnnotation.id)}`, + { method: "DELETE" }, + ); + expect(annotationDelete.status).toBe(200); + + const agentsResponse = await fetch(`${server.url}/api/agents`); + expect(await agentsResponse.json()).toEqual({ agents: [] }); + + const formData = new FormData(); + formData.append("file", new File(["png-bytes"], "diagram.png", { type: "image/png" })); + const uploadResponse = await fetch(`${server.url}/api/upload`, { + method: "POST", + body: formData, + }); + expect(uploadResponse.status).toBe(200); + const uploadPayload = await uploadResponse.json() as { path: string; originalName: string }; + expect(uploadPayload.originalName).toBe("diagram.png"); + + const imageResponse = await fetch( + `${server.url}/api/image?path=${encodeURIComponent(uploadPayload.path)}`, + ); + expect(imageResponse.status).toBe(200); + expect(await imageResponse.text()).toBe("png-bytes"); + + const draftDelete = await fetch(`${server.url}/api/draft`, { method: "DELETE" }); + expect(draftDelete.status).toBe(200); + + const draftMissing = await fetch(`${server.url}/api/draft`); + expect(draftMissing.status).toBe(404); + + const feedbackResponse = await fetch(`${server.url}/api/feedback`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + approved: false, + feedback: "Please update the diff", + annotations: [{ id: "note-1" }], + }), + }); + expect(feedbackResponse.status).toBe(200); + + await expect(server.waitForDecision()).resolves.toEqual({ + approved: false, + feedback: "Please update the diff", + annotations: [{ id: "note-1" }], + agentSwitch: undefined, + }); + } finally { + server.stop(); + } + }); + + test("exit endpoint resolves decision with exit flag", async () => { + const homeDir = makeTempDir("plannotator-pi-home-"); + const repoDir = initRepo(); + process.env.HOME = homeDir; + process.chdir(repoDir); + process.env.PLANNOTATOR_PORT = String(await reservePort()); + + const gitContext = await getGitContext(); + const diff = await runGitDiff("uncommitted", gitContext.defaultBranch); + + const server = await startReviewServer({ + rawPatch: diff.patch, + gitRef: diff.label, + error: diff.error, + diffType: "uncommitted", + gitContext, + origin: "pi", + htmlContent: "review", + }); + + try { + const exitResponse = await fetch(`${server.url}/api/exit`, { method: "POST" }); + expect(exitResponse.status).toBe(200); + expect(await exitResponse.json()).toEqual({ ok: true }); + + await expect(server.waitForDecision()).resolves.toEqual({ + exit: true, + approved: false, + feedback: "", + annotations: [], + agentSwitch: undefined, + }); + } finally { + server.stop(); + } + }); + + test("git-add endpoint stages and unstages files in review mode", async () => { + const homeDir = makeTempDir("plannotator-pi-home-"); + const repoDir = initRepo(); + process.env.HOME = homeDir; + process.chdir(repoDir); + process.env.PLANNOTATOR_PORT = String(await reservePort()); + + writeFileSync(join(repoDir, "stage-me.txt"), "new file\n", "utf-8"); + + const gitContext = await getGitContext(); + const diff = await runGitDiff("uncommitted", gitContext.defaultBranch); + + const server = await startReviewServer({ + rawPatch: diff.patch, + gitRef: diff.label, + error: diff.error, + diffType: "uncommitted", + gitContext, + origin: "pi", + htmlContent: "review", + }); + + try { + const stageResponse = await fetch(`${server.url}/api/git-add`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ filePath: "stage-me.txt" }), + }); + expect(stageResponse.status).toBe(200); + expect(git(repoDir, ["diff", "--staged", "--name-only"])).toContain("stage-me.txt"); + + const unstageResponse = await fetch(`${server.url}/api/git-add`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ filePath: "stage-me.txt", undo: true }), + }); + expect(unstageResponse.status).toBe(200); + expect(git(repoDir, ["diff", "--staged", "--name-only"])).not.toContain("stage-me.txt"); + expect(git(repoDir, ["status", "--short"])).toContain("?? stage-me.txt"); + + await fetch(`${server.url}/api/feedback`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + approved: true, + feedback: "LGTM - no changes requested.", + annotations: [], + }), + }); + await server.waitForDecision(); + } finally { + server.stop(); + } + }, 15_000); + + test("round-trips the active base branch through /api/diff and /api/diff/switch", async () => { + const homeDir = makeTempDir("plannotator-pi-home-"); + const repoDir = initRepo(); + process.env.HOME = homeDir; + process.chdir(repoDir); + process.env.PLANNOTATOR_PORT = String(await reservePort()); + + // Create a second branch the picker can switch to, then branch off it so + // currentBranch !== defaultBranch and the branch/merge-base options appear. + git(repoDir, ["checkout", "-b", "develop"]); + writeFileSync(join(repoDir, "develop-file.txt"), "develop\n", "utf-8"); + git(repoDir, ["add", "develop-file.txt"]); + git(repoDir, ["commit", "-m", "develop commit"]); + git(repoDir, ["checkout", "-b", "feature/x"]); + writeFileSync(join(repoDir, "feature-file.txt"), "feature\n", "utf-8"); + git(repoDir, ["add", "feature-file.txt"]); + git(repoDir, ["commit", "-m", "feature commit"]); + + const gitContext = await getGitContext(); + const diff = await runGitDiff("uncommitted", gitContext.defaultBranch); + + const server = await startReviewServer({ + rawPatch: diff.patch, + gitRef: diff.label, + error: diff.error, + diffType: "uncommitted", + gitContext, + origin: "pi", + htmlContent: "review", + }); + + try { + // Initial load: server echoes the detected default as the active base. + const initial = await fetch(`${server.url}/api/diff`).then((r) => r.json()) as { + base?: string; + gitContext?: { defaultBranch: string }; + }; + expect(initial.base).toBe(gitContext.defaultBranch); + expect(initial.base).toBe(initial.gitContext?.defaultBranch); + + // Switch to a custom base — response must echo the resolved base. + const switchResponse = await fetch(`${server.url}/api/diff/switch`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ diffType: "branch", base: "develop" }), + }); + expect(switchResponse.status).toBe(200); + const switched = await switchResponse.json() as { base?: string; diffType: string }; + expect(switched.base).toBe("develop"); + expect(switched.diffType).toBe("branch"); + + // Subsequent /api/diff load reflects the switched base — this is what + // survives a page refresh / reconnect. + const rehydrate = await fetch(`${server.url}/api/diff`).then((r) => r.json()) as { + base?: string; + }; + expect(rehydrate.base).toBe("develop"); + + // Unknown refs pass through verbatim — the resolver trusts callers so + // unusual-but-valid refs (tags, SHAs, non-origin remotes) work. Truly + // invalid refs surface via the diff error, not via a silent swap. + const unknownResponse = await fetch(`${server.url}/api/diff/switch`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ diffType: "branch", base: "nope-does-not-exist" }), + }); + const unknown = await unknownResponse.json() as { base?: string; error?: string }; + expect(unknown.base).toBe("nope-does-not-exist"); + expect(unknown.error).toBeTruthy(); + + // Feedback to clean up the waitForDecision promise. + await fetch(`${server.url}/api/feedback`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ approved: false, feedback: "done", annotations: [] }), + }); + await server.waitForDecision(); + } finally { + server.stop(); + } + }, 15_000); + + test("initialBase overrides gitContext.defaultBranch in server state", async () => { + // Simulates a programmatic caller (Pi event bus, other extensions) that + // opens a review against a non-default base. The server's currentBase — + // which drives /api/diff, agent prompts, and file-content fetches — must + // honor that override instead of falling back to the detected default. + const homeDir = makeTempDir("plannotator-pi-home-"); + const repoDir = initRepo(); + process.env.HOME = homeDir; + process.chdir(repoDir); + process.env.PLANNOTATOR_PORT = String(await reservePort()); + + git(repoDir, ["checkout", "-b", "develop"]); + writeFileSync(join(repoDir, "develop-file.txt"), "develop\n", "utf-8"); + git(repoDir, ["add", "develop-file.txt"]); + git(repoDir, ["commit", "-m", "develop commit"]); + git(repoDir, ["checkout", "-b", "feature/x"]); + + const gitContext = await getGitContext(); + // Detected default is "main"; caller explicitly wants "develop". + expect(gitContext.defaultBranch).toBe("main"); + const diff = await runGitDiff("branch", "develop"); + + const server = await startReviewServer({ + rawPatch: diff.patch, + gitRef: diff.label, + error: diff.error, + diffType: "branch", + gitContext, + initialBase: "develop", + origin: "pi", + htmlContent: "review", + }); + + try { + const payload = await fetch(`${server.url}/api/diff`).then((r) => r.json()) as { + base?: string; + gitContext?: { defaultBranch: string }; + }; + // The server must echo the caller's override, not the detected default. + expect(payload.base).toBe("develop"); + expect(payload.gitContext?.defaultBranch).toBe("main"); + + await fetch(`${server.url}/api/feedback`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ approved: false, feedback: "done", annotations: [] }), + }); + await server.waitForDecision(); + } finally { + server.stop(); + } + }, 15_000); +}); diff --git a/extensions/plannotator/server.ts b/extensions/plannotator/server.ts new file mode 100644 index 0000000..6682ace --- /dev/null +++ b/extensions/plannotator/server.ts @@ -0,0 +1,28 @@ +/** + * Node-compatible servers for Plannotator Pi extension. + * + * Pi loads extensions via jiti (Node.js), so we can't use Bun.serve(). + * These are lightweight node:http servers implementing just the routes + * each UI needs — plan review, code review, and markdown annotation. + */ + +export type { + DiffOption, + DiffType, + GitContext, +} from "./generated/review-core.js"; +export { + type AnnotateServerResult, + startAnnotateServer, +} from "./server/serverAnnotate.js"; +export { + type PlanServerResult, + startPlanReviewServer, +} from "./server/serverPlan.js"; +export { + getGitContext, + reviewRuntime, + type ReviewServerResult, + runGitDiff, + startReviewServer, +} from "./server/serverReview.js"; diff --git a/extensions/plannotator/server/agent-jobs.ts b/extensions/plannotator/server/agent-jobs.ts new file mode 100644 index 0000000..8711189 --- /dev/null +++ b/extensions/plannotator/server/agent-jobs.ts @@ -0,0 +1,515 @@ +/** + * Agent Jobs — Pi (node:http) server handler. + * + * Manages background agent processes (spawn, monitor, kill) and exposes + * HTTP routes + SSE broadcasting for job status updates. + * + * Mirrors packages/server/agent-jobs.ts but uses node:http primitives. + */ + +import type { IncomingMessage, ServerResponse } from "node:http"; +import { spawn, execFileSync, type ChildProcess } from "node:child_process"; +import { + type AgentJobInfo, + type AgentJobEvent, + type AgentCapability, + type AgentCapabilities, + isTerminalStatus, + jobSource, + serializeAgentSSEEvent, + AGENT_HEARTBEAT_COMMENT, + AGENT_HEARTBEAT_INTERVAL_MS, +} from "../generated/agent-jobs.js"; +import { formatClaudeLogEvent } from "../generated/claude-review.js"; +import { json, parseBody } from "./helpers.js"; + +// --------------------------------------------------------------------------- +// Route prefixes +// --------------------------------------------------------------------------- + +const BASE = "/api/agents"; +const JOBS = `${BASE}/jobs`; +const JOBS_STREAM = `${JOBS}/stream`; +const CAPABILITIES = `${BASE}/capabilities`; + +// --------------------------------------------------------------------------- +// which() helper for Node.js +// --------------------------------------------------------------------------- + +function whichCmd(cmd: string): boolean { + try { + const bin = process.platform === "win32" ? "where" : "which"; + execFileSync(bin, [cmd], { encoding: "utf-8", stdio: ["pipe", "pipe", "pipe"] }); + return true; + } catch { + return false; + } +} + +// --------------------------------------------------------------------------- +// Factory +// --------------------------------------------------------------------------- + +export interface AgentJobHandlerOptions { + mode: "plan" | "review" | "annotate"; + getServerUrl: () => string; + getCwd: () => string; + /** Server-side command builder for known providers (codex, claude, tour). */ + buildCommand?: (provider: string, config?: Record) => Promise<{ + command: string[]; + outputPath?: string; + captureStdout?: boolean; + stdinPrompt?: string; + cwd?: string; + prompt?: string; + label?: string; + /** Underlying engine used (e.g., "claude" or "codex"). Stored on AgentJobInfo for UI display. */ + engine?: string; + /** Model used (e.g., "sonnet", "opus"). Stored on AgentJobInfo for UI display. */ + model?: string; + /** Claude --effort level. */ + effort?: string; + /** Codex reasoning effort level. */ + reasoningEffort?: string; + /** Whether Codex fast mode was enabled. */ + fastMode?: boolean; + /** PR URL at launch time. */ + prUrl?: string; + /** PR diff scope at launch time. */ + diffScope?: string; + /** Diff context snapshot at launch (stored on AgentJobInfo for per-job "Copy All"). */ + diffContext?: AgentJobInfo["diffContext"]; + } | null>; + /** Called when a job completes successfully — parse results and push annotations. */ + onJobComplete?: (job: AgentJobInfo, meta: { outputPath?: string; stdout?: string; cwd?: string }) => void | Promise; +} + +export function createAgentJobHandler(options: AgentJobHandlerOptions) { + const { mode, getServerUrl, getCwd } = options; + + // --- State --- + const jobs = new Map(); + const jobOutputPaths = new Map(); + const subscribers = new Set(); + let version = 0; + + // --- Capability detection (run once) --- + const capabilities: AgentCapability[] = [ + { id: "claude", name: "Claude Code", available: whichCmd("claude") }, + { id: "codex", name: "Codex CLI", available: whichCmd("codex") }, + { id: "tour", name: "Code Tour", available: whichCmd("claude") || whichCmd("codex") }, + ]; + const capabilitiesResponse: AgentCapabilities = { + mode, + providers: capabilities, + available: capabilities.some((c) => c.available), + }; + + // --- SSE broadcasting --- + function broadcast(event: AgentJobEvent): void { + version++; + const data = serializeAgentSSEEvent(event); + for (const res of subscribers) { + try { + res.write(data); + } catch { + subscribers.delete(res); + } + } + } + + // --- Process lifecycle --- + function spawnJob( + provider: string, + command: string[], + label: string, + outputPath?: string, + spawnOptions?: { captureStdout?: boolean; stdinPrompt?: string; cwd?: string; prompt?: string; engine?: string; model?: string; effort?: string; reasoningEffort?: string; fastMode?: boolean; prUrl?: string; diffScope?: string; diffContext?: AgentJobInfo["diffContext"] }, + ): AgentJobInfo { + const id = crypto.randomUUID(); + const source = jobSource(id); + + const info: AgentJobInfo = { + id, + source, + provider, + label, + status: "starting", + startedAt: Date.now(), + command, + cwd: getCwd(), + ...(spawnOptions?.engine && { engine: spawnOptions.engine }), + ...(spawnOptions?.model && { model: spawnOptions.model }), + ...(spawnOptions?.effort && { effort: spawnOptions.effort }), + ...(spawnOptions?.reasoningEffort && { reasoningEffort: spawnOptions.reasoningEffort }), + ...(spawnOptions?.fastMode && { fastMode: spawnOptions.fastMode }), + ...(spawnOptions?.prUrl && { prUrl: spawnOptions.prUrl }), + ...(spawnOptions?.diffScope && { diffScope: spawnOptions.diffScope }), + ...(spawnOptions?.diffContext && { diffContext: spawnOptions.diffContext }), + }; + + let proc: ChildProcess | null = null; + + try { + const spawnCwd = spawnOptions?.cwd ?? getCwd(); + const captureStdout = spawnOptions?.captureStdout ?? false; + const hasStdinPrompt = !!spawnOptions?.stdinPrompt; + + proc = spawn(command[0], command.slice(1), { + cwd: spawnCwd, + stdio: [ + hasStdinPrompt ? "pipe" : "ignore", + captureStdout ? "pipe" : "ignore", + "pipe", + ], + env: { + ...process.env, + PLANNOTATOR_AGENT_SOURCE: source, + PLANNOTATOR_API_URL: getServerUrl(), + }, + }); + + // Write prompt to stdin and close (for providers that read prompt from stdin) + if (hasStdinPrompt && proc.stdin) { + proc.stdin.write(spawnOptions!.stdinPrompt!); + proc.stdin.end(); + } + + info.status = "running"; + info.cwd = spawnCwd; + if (spawnOptions?.prompt) info.prompt = spawnOptions.prompt; + jobs.set(id, { info, proc }); + if (outputPath) jobOutputPaths.set(id, outputPath); + if (spawnOptions?.cwd) jobOutputPaths.set(`${id}:cwd`, spawnOptions.cwd); + broadcast({ type: "job:started", job: { ...info } }); + + // --- Stdout capture (Claude JSONL streaming) --- + let stdoutBuf = ""; + if (captureStdout && proc.stdout) { + proc.stdout.on("data", (chunk: Buffer) => { + const text = chunk.toString(); + stdoutBuf += text; + + // Forward JSONL lines as log events + const lines = text.split('\n'); + for (const line of lines) { + if (!line.trim()) continue; + // Tour jobs with the Claude engine also stream Claude JSONL. + if (provider === "claude" || spawnOptions?.engine === "claude") { + const formatted = formatClaudeLogEvent(line); + if (formatted !== null) { + broadcast({ type: "job:log", jobId: id, delta: formatted + '\n' }); + } + continue; + } + try { + const event = JSON.parse(line); + if (event.type === 'result') continue; + } catch { /* not JSON — forward as raw log */ } + broadcast({ type: "job:log", jobId: id, delta: line + '\n' }); + } + }); + } + + // --- Stderr: buffer tail for errors + live log streaming --- + let stderrBuf = ""; + let logPending = ""; + let logFlushTimer: ReturnType | null = null; + + if (proc.stderr) { + proc.stderr.on("data", (chunk: Buffer) => { + const text = chunk.toString(); + stderrBuf = (stderrBuf + text).slice(-500); + logPending += text; + + if (!logFlushTimer) { + logFlushTimer = setTimeout(() => { + if (logPending) { + broadcast({ type: "job:log", jobId: id, delta: logPending }); + logPending = ""; + } + logFlushTimer = null; + }, 200); + } + }); + } + + // Monitor process close (fires after stdio streams are fully drained, + // unlike 'exit' which fires before — critical for stdout capture) + proc.on("close", async (exitCode) => { + // Flush remaining stderr + if (logFlushTimer) { clearTimeout(logFlushTimer); logFlushTimer = null; } + if (logPending) { + broadcast({ type: "job:log", jobId: id, delta: logPending }); + logPending = ""; + } + + const entry = jobs.get(id); + if (!entry || isTerminalStatus(entry.info.status)) return; + + entry.info.endedAt = Date.now(); + entry.info.exitCode = exitCode ?? undefined; + entry.info.status = exitCode === 0 ? "done" : "failed"; + + if (exitCode !== 0 && stderrBuf) { + entry.info.error = stderrBuf; + } + + // Ingest results before broadcasting completion + const jobOutputPath = jobOutputPaths.get(id); + const jobCwd = jobOutputPaths.get(`${id}:cwd`); + if (exitCode === 0 && options.onJobComplete) { + try { + await options.onJobComplete(entry.info, { + outputPath: jobOutputPath, + stdout: captureStdout ? stdoutBuf : undefined, + cwd: jobCwd, + }); + } catch { + // Result ingestion failure shouldn't prevent job completion broadcast + } + } + jobOutputPaths.delete(id); + jobOutputPaths.delete(`${id}:cwd`); + + broadcast({ type: "job:completed", job: { ...entry.info } }); + }); + + // Handle spawn errors after process starts + proc.on("error", (err) => { + const entry = jobs.get(id); + if (!entry || isTerminalStatus(entry.info.status)) return; + + entry.info.status = "failed"; + entry.info.endedAt = Date.now(); + entry.info.error = err.message; + broadcast({ type: "job:completed", job: { ...entry.info } }); + }); + } catch (err) { + jobs.set(id, { info, proc: null }); + broadcast({ type: "job:started", job: { ...info } }); + + info.status = "failed"; + info.endedAt = Date.now(); + info.error = err instanceof Error ? err.message : String(err); + broadcast({ type: "job:completed", job: { ...info } }); + } + + return { ...info }; + } + + function killJob(id: string): boolean { + const entry = jobs.get(id); + if (!entry || isTerminalStatus(entry.info.status)) return false; + + if (entry.proc) { + try { + entry.proc.kill(); + } catch { + // Process may have already exited + } + } + + entry.info.status = "killed"; + entry.info.endedAt = Date.now(); + jobOutputPaths.delete(id); + jobOutputPaths.delete(`${id}:cwd`); + broadcast({ type: "job:completed", job: { ...entry.info } }); + return true; + } + + function killAll(): number { + let count = 0; + for (const [id, entry] of jobs) { + if (!isTerminalStatus(entry.info.status)) { + killJob(id); + count++; + } + } + return count; + } + + function getAllJobs(): AgentJobInfo[] { + return Array.from(jobs.values()).map((e) => ({ ...e.info })); + } + + // --- HTTP handler --- + return { + killAll, + + async handle( + req: IncomingMessage, + res: ServerResponse, + url: URL, + ): Promise { + // --- GET /api/agents/capabilities --- + if (url.pathname === CAPABILITIES && req.method === "GET") { + json(res, capabilitiesResponse); + return true; + } + + // --- SSE stream --- + if (url.pathname === JOBS_STREAM && req.method === "GET") { + res.writeHead(200, { + "Content-Type": "text/event-stream", + "Cache-Control": "no-cache", + Connection: "keep-alive", + }); + + res.setTimeout(0); + + // Send current state as snapshot + const snapshot: AgentJobEvent = { + type: "snapshot", + jobs: getAllJobs(), + }; + res.write(serializeAgentSSEEvent(snapshot)); + + subscribers.add(res); + + // Heartbeat to keep connection alive + const heartbeatTimer = setInterval(() => { + try { + res.write(AGENT_HEARTBEAT_COMMENT); + } catch { + clearInterval(heartbeatTimer); + subscribers.delete(res); + } + }, AGENT_HEARTBEAT_INTERVAL_MS); + + // Clean up on disconnect + res.on("close", () => { + clearInterval(heartbeatTimer); + subscribers.delete(res); + }); + + return true; + } + + // --- GET /api/agents/jobs (snapshot / polling fallback) --- + if (url.pathname === JOBS && req.method === "GET") { + const since = url.searchParams.get("since"); + if (since !== null) { + const sinceVersion = parseInt(since, 10); + if (!isNaN(sinceVersion) && sinceVersion === version) { + res.writeHead(304); + res.end(); + return true; + } + } + json(res, { jobs: getAllJobs(), version }); + return true; + } + + // --- POST /api/agents/jobs (launch) --- + if (url.pathname === JOBS && req.method === "POST") { + try { + const body = await parseBody(req); + const provider = typeof body.provider === "string" ? body.provider : ""; + let rawCommand = Array.isArray(body.command) ? body.command : []; + let command = rawCommand.filter((c: unknown): c is string => typeof c === "string"); + let label = typeof body.label === "string" ? body.label : `${provider} agent`; + let outputPath: string | undefined; + + // Validate provider is a known, available capability + const cap = capabilities.find((c) => c.id === provider); + if (!cap || !cap.available) { + json(res, { error: `Unknown or unavailable provider: ${provider}` }, 400); + return true; + } + + // Try server-side command building for known providers + let captureStdout = false; + let stdinPrompt: string | undefined; + let spawnCwd: string | undefined; + let promptText: string | undefined; + let jobEngine: string | undefined; + let jobModel: string | undefined; + let jobEffort: string | undefined; + let jobReasoningEffort: string | undefined; + let jobFastMode: boolean | undefined; + let jobPrUrl: string | undefined; + let jobDiffScope: string | undefined; + let jobDiffContext: AgentJobInfo["diffContext"] | undefined; + if (options.buildCommand) { + // Thread config from POST body to buildCommand + const config: Record = {}; + if (typeof body.engine === "string") config.engine = body.engine; + if (typeof body.model === "string") config.model = body.model; + if (typeof body.reasoningEffort === "string") config.reasoningEffort = body.reasoningEffort; + if (typeof body.effort === "string") config.effort = body.effort; + if (body.fastMode === true) config.fastMode = true; + const built = await options.buildCommand(provider, Object.keys(config).length > 0 ? config : undefined); + if (built) { + command = built.command; + outputPath = built.outputPath; + captureStdout = built.captureStdout ?? false; + stdinPrompt = built.stdinPrompt; + spawnCwd = built.cwd; + promptText = built.prompt; + if (built.label) label = built.label; + jobEngine = built.engine; + jobModel = built.model; + jobEffort = built.effort; + jobReasoningEffort = built.reasoningEffort; + jobFastMode = built.fastMode; + jobPrUrl = built.prUrl; + jobDiffScope = built.diffScope; + jobDiffContext = built.diffContext; + } + } + + if (command.length === 0) { + json(res, { error: 'Missing "command" array' }, 400); + return true; + } + + const job = spawnJob(provider, command, label, outputPath, { + captureStdout, + stdinPrompt, + cwd: spawnCwd, + prompt: promptText, + engine: jobEngine, + model: jobModel, + effort: jobEffort, + reasoningEffort: jobReasoningEffort, + fastMode: jobFastMode, + prUrl: jobPrUrl, + diffScope: jobDiffScope, + diffContext: jobDiffContext, + }); + json(res, { job }, 201); + } catch { + json(res, { error: "Invalid JSON" }, 400); + } + return true; + } + + // --- DELETE /api/agents/jobs/:id (kill one) --- + if (url.pathname.startsWith(JOBS + "/") && url.pathname !== JOBS_STREAM && req.method === "DELETE") { + const id = url.pathname.slice(JOBS.length + 1); + if (!id) { + json(res, { error: "Missing job ID" }, 400); + return true; + } + const found = killJob(id); + if (!found) { + json(res, { error: "Job not found or already terminal" }, 404); + return true; + } + json(res, { ok: true }); + return true; + } + + // --- DELETE /api/agents/jobs (kill all) --- + if (url.pathname === JOBS && req.method === "DELETE") { + const count = killAll(); + json(res, { ok: true, killed: count }); + return true; + } + + // Not handled + return false; + }, + }; +} diff --git a/extensions/plannotator/server/annotations.ts b/extensions/plannotator/server/annotations.ts new file mode 100644 index 0000000..193d438 --- /dev/null +++ b/extensions/plannotator/server/annotations.ts @@ -0,0 +1,85 @@ +/** + * Editor annotation handler (in-memory store for VS Code integration). + * EditorAnnotation type, createEditorAnnotationHandler + */ + +import { randomUUID } from "node:crypto"; +import type { IncomingMessage } from "node:http"; +import { json, parseBody } from "./helpers"; + +interface EditorAnnotation { + id: string; + filePath: string; + selectedText: string; + lineStart: number; + lineEnd: number; + comment?: string; + createdAt: number; +} + +export function createEditorAnnotationHandler() { + const annotations: EditorAnnotation[] = []; + + return { + async handle( + req: IncomingMessage, + res: import("node:http").ServerResponse, + url: URL, + ): Promise { + if (url.pathname === "/api/editor-annotations" && req.method === "GET") { + json(res, { annotations }); + return true; + } + + if (url.pathname === "/api/editor-annotation" && req.method === "POST") { + try { + const body = await parseBody(req); + if ( + !body.filePath || + !body.selectedText || + !body.lineStart || + !body.lineEnd + ) { + json(res, { error: "Missing required fields" }, 400); + return true; + } + + const annotation: EditorAnnotation = { + id: randomUUID(), + filePath: String(body.filePath), + selectedText: String(body.selectedText), + lineStart: Number(body.lineStart), + lineEnd: Number(body.lineEnd), + comment: typeof body.comment === "string" ? body.comment : undefined, + createdAt: Date.now(), + }; + + annotations.push(annotation); + json(res, { id: annotation.id }); + } catch { + json(res, { error: "Invalid JSON" }, 400); + } + return true; + } + + if ( + url.pathname === "/api/editor-annotation" && + req.method === "DELETE" + ) { + const id = url.searchParams.get("id"); + if (!id) { + json(res, { error: "Missing id parameter" }, 400); + return true; + } + const idx = annotations.findIndex((annotation) => annotation.id === id); + if (idx !== -1) { + annotations.splice(idx, 1); + } + json(res, { ok: true }); + return true; + } + + return false; + }, + }; +} diff --git a/extensions/plannotator/server/external-annotations.ts b/extensions/plannotator/server/external-annotations.ts new file mode 100644 index 0000000..4bb48aa --- /dev/null +++ b/extensions/plannotator/server/external-annotations.ts @@ -0,0 +1,189 @@ +/** + * External Annotations — Pi (node:http) server handler. + * + * Thin HTTP adapter over the shared annotation store. Mirrors the Bun + * handler at packages/server/external-annotations.ts but uses node:http + * IncomingMessage/ServerResponse + res.write() for SSE. + */ + +import type { IncomingMessage, ServerResponse } from "node:http"; +import { + createAnnotationStore, + transformPlanInput, + transformReviewInput, + serializeSSEEvent, + HEARTBEAT_COMMENT, + HEARTBEAT_INTERVAL_MS, + type StorableAnnotation, + type ExternalAnnotationEvent, +} from "../generated/external-annotation.js"; +import { json, parseBody } from "./helpers.js"; + +// --------------------------------------------------------------------------- +// Route prefix +// --------------------------------------------------------------------------- + +const BASE = "/api/external-annotations"; +const STREAM = `${BASE}/stream`; + +// --------------------------------------------------------------------------- +// Factory +// --------------------------------------------------------------------------- + +export function createExternalAnnotationHandler(mode: "plan" | "review") { + const store = createAnnotationStore(); + const subscribers = new Set(); + const transform = mode === "plan" ? transformPlanInput : transformReviewInput; + + // Wire store mutations → SSE broadcast + store.onMutation((event: ExternalAnnotationEvent) => { + const data = serializeSSEEvent(event); + for (const res of subscribers) { + try { + res.write(data); + } catch { + // Response closed — clean up + subscribers.delete(res); + } + } + }); + + return { + /** Push annotations directly into the store (bypasses HTTP, reuses same validation). */ + addAnnotations(body: unknown): { ids: string[] } | { error: string } { + const parsed = transform(body); + if ("error" in parsed) return { error: parsed.error }; + const created = store.add(parsed.annotations); + return { ids: created.map((a: { id: string }) => a.id) }; + }, + + async handle( + req: IncomingMessage, + res: ServerResponse, + url: URL, + ): Promise { + // --- SSE stream --- + if (url.pathname === STREAM && req.method === "GET") { + res.writeHead(200, { + "Content-Type": "text/event-stream", + "Cache-Control": "no-cache", + Connection: "keep-alive", + }); + + // Disable idle timeout for SSE connections + res.setTimeout(0); + + // Send current state as snapshot + const snapshot: ExternalAnnotationEvent = { + type: "snapshot", + annotations: store.getAll(), + }; + res.write(serializeSSEEvent(snapshot)); + + subscribers.add(res); + + // Heartbeat to keep connection alive + const heartbeatTimer = setInterval(() => { + try { + res.write(HEARTBEAT_COMMENT); + } catch { + clearInterval(heartbeatTimer); + subscribers.delete(res); + } + }, HEARTBEAT_INTERVAL_MS); + + // Clean up on disconnect + res.on("close", () => { + clearInterval(heartbeatTimer); + subscribers.delete(res); + }); + + // Don't end the response — SSE stays open + return true; + } + + // --- GET snapshot (polling fallback) --- + if (url.pathname === BASE && req.method === "GET") { + const since = url.searchParams.get("since"); + if (since !== null) { + const sinceVersion = parseInt(since, 10); + if (!isNaN(sinceVersion) && sinceVersion === store.version) { + res.writeHead(304); + res.end(); + return true; + } + } + json(res, { + annotations: store.getAll(), + version: store.version, + }); + return true; + } + + // --- POST (add single or batch) --- + if (url.pathname === BASE && req.method === "POST") { + try { + const body = await parseBody(req); + const parsed = transform(body); + + if ("error" in parsed) { + json(res, { error: parsed.error }, 400); + return true; + } + + const created = store.add(parsed.annotations); + json(res, { ids: created.map((a: StorableAnnotation) => a.id) }, 201); + } catch { + json(res, { error: "Invalid JSON" }, 400); + } + return true; + } + + // --- PATCH (update fields on a single annotation) --- + if (url.pathname === BASE && req.method === "PATCH") { + const id = url.searchParams.get("id"); + if (!id) { + json(res, { error: "Missing ?id parameter" }, 400); + return true; + } + try { + const body = await parseBody(req); + const updated = store.update(id, body as Partial); + if (!updated) { + json(res, { error: "Not found" }, 404); + return true; + } + json(res, { annotation: updated }); + } catch { + json(res, { error: "Invalid JSON" }, 400); + } + return true; + } + + // --- DELETE (by id, by source, or clear all) --- + if (url.pathname === BASE && req.method === "DELETE") { + const id = url.searchParams.get("id"); + const source = url.searchParams.get("source"); + + if (id) { + store.remove(id); + json(res, { ok: true }); + return true; + } + + if (source) { + const count = store.clearBySource(source); + json(res, { ok: true, removed: count }); + return true; + } + + const count = store.clearAll(); + json(res, { ok: true, removed: count }); + return true; + } + + // Not handled — pass through + return false; + }, + }; +} diff --git a/extensions/plannotator/server/handlers.ts b/extensions/plannotator/server/handlers.ts new file mode 100644 index 0000000..6a87f18 --- /dev/null +++ b/extensions/plannotator/server/handlers.ts @@ -0,0 +1,210 @@ +/** + * Shared request handlers reused across plan, review, and annotate servers. + * handleImageRequest, handleUploadRequest, handleDraftRequest, handleFavicon + */ + +import { randomUUID } from "node:crypto"; +import { existsSync, mkdirSync, readFileSync, writeFileSync } from "node:fs"; +import type { IncomingMessage } from "node:http"; +import { tmpdir } from "node:os"; +import { join, resolve as resolvePath } from "node:path"; +import { saveDraft, loadDraft, deleteDraft } from "../generated/draft.js"; +import { FAVICON_SVG } from "../generated/favicon.js"; + +import { json, parseBody, send, toWebRequest } from "./helpers"; + +type Res = import("node:http").ServerResponse; + +const ALLOWED_IMAGE_EXTENSIONS = new Set([ + "png", + "jpg", + "jpeg", + "gif", + "webp", + "svg", + "bmp", + "ico", + "tiff", + "tif", + "avif", +]); + +const IMAGE_CONTENT_TYPES: Record = { + png: "image/png", + jpg: "image/jpeg", + jpeg: "image/jpeg", + gif: "image/gif", + webp: "image/webp", + svg: "image/svg+xml", + bmp: "image/bmp", + ico: "image/x-icon", + tiff: "image/tiff", + tif: "image/tiff", + avif: "image/avif", +}; + +const UPLOAD_DIR = join(tmpdir(), "plannotator"); + +function getExtension(filePath: string): string { + const lastDot = filePath.lastIndexOf("."); + if (lastDot === -1) return ""; + return filePath.slice(lastDot + 1).toLowerCase(); +} + +function validateImagePath(rawPath: string): { + valid: boolean; + resolved: string; + error?: string; +} { + const resolved = resolvePath(rawPath); + const ext = getExtension(resolved); + + if (!ALLOWED_IMAGE_EXTENSIONS.has(ext)) { + return { + valid: false, + resolved, + error: "Path does not point to a supported image file", + }; + } + + return { valid: true, resolved }; +} + +function validateUploadExtension(fileName: string): { + valid: boolean; + ext: string; + error?: string; +} { + const ext = getExtension(fileName) || "png"; + if (!ALLOWED_IMAGE_EXTENSIONS.has(ext)) { + return { + valid: false, + ext, + error: `File extension ".${ext}" is not a supported image type`, + }; + } + + return { valid: true, ext }; +} + +function getImageContentType(filePath: string): string { + return ( + IMAGE_CONTENT_TYPES[getExtension(filePath)] || "application/octet-stream" + ); +} + +export function handleImageRequest(res: Res, url: URL): void { + const imagePath = url.searchParams.get("path"); + if (!imagePath) { + send(res, "Missing path parameter", 400, { "Content-Type": "text/plain" }); + return; + } + + const tryServePath = (candidate: string): boolean => { + const validation = validateImagePath(candidate); + if (!validation.valid) return false; + try { + if (!existsSync(validation.resolved)) return false; + const data = readFileSync(validation.resolved); + send(res, data, 200, { + "Content-Type": getImageContentType(validation.resolved), + }); + return true; + } catch { + return false; + } + }; + + if (tryServePath(imagePath)) return; + + const base = url.searchParams.get("base"); + if ( + base && + !imagePath.startsWith("/") && + tryServePath(resolvePath(base, imagePath)) + ) { + return; + } + + const validation = validateImagePath(imagePath); + if (!validation.valid) { + send(res, validation.error || "Invalid image path", 403, { + "Content-Type": "text/plain", + }); + return; + } + + send(res, "File not found", 404, { "Content-Type": "text/plain" }); +} + +export async function handleUploadRequest( + req: IncomingMessage, + res: Res, +): Promise { + try { + const request = toWebRequest(req); + const formData = await request.formData(); + const file = formData.get("file"); + if ( + !file || + typeof file !== "object" || + !("arrayBuffer" in file) || + !("name" in file) + ) { + json(res, { error: "No file provided" }, 400); + return; + } + + const upload = file as File; + const extResult = validateUploadExtension(upload.name); + if (!extResult.valid) { + json(res, { error: extResult.error }, 400); + return; + } + + mkdirSync(UPLOAD_DIR, { recursive: true }); + const tempPath = join(UPLOAD_DIR, `${randomUUID()}.${extResult.ext}`); + const bytes = Buffer.from(await upload.arrayBuffer()); + writeFileSync(tempPath, bytes); + json(res, { path: tempPath, originalName: upload.name }); + } catch (err) { + const message = err instanceof Error ? err.message : "Upload failed"; + json(res, { error: message }, 500); + } +} + +export function handleDraftRequest( + req: IncomingMessage, + res: Res, + draftKey: string, +): Promise | void { + if (req.method === "POST") { + return parseBody(req) + .then((body) => { + saveDraft(draftKey, body); + json(res, { ok: true }); + }) + .catch((err: unknown) => { + const message = err instanceof Error ? err.message : "Failed to save draft"; + console.error(`[draft] save failed: ${message}`); + json(res, { error: message }, 500); + }); + } else if (req.method === "DELETE") { + deleteDraft(draftKey); + json(res, { ok: true }); + } else { + const draft = loadDraft(draftKey); + if (!draft) { + json(res, { found: false }, 404); + return; + } + json(res, draft); + } +} + +export function handleFavicon(res: Res): void { + send(res, FAVICON_SVG, 200, { + "Content-Type": "image/svg+xml", + "Cache-Control": "public, max-age=86400", + }); +} diff --git a/extensions/plannotator/server/helpers.ts b/extensions/plannotator/server/helpers.ts new file mode 100644 index 0000000..9bfcc78 --- /dev/null +++ b/extensions/plannotator/server/helpers.ts @@ -0,0 +1,78 @@ +/** + * Core HTTP helpers for Pi extension servers. + * parseBody, json, html, send, toWebRequest + */ + +import type { IncomingMessage } from "node:http"; +import { Readable } from "node:stream"; + +export function parseBody( + req: IncomingMessage, +): Promise> { + return new Promise((resolve) => { + let data = ""; + req.on("data", (chunk: string) => (data += chunk)); + req.on("end", () => { + try { + resolve(JSON.parse(data)); + } catch { + resolve({}); + } + }); + }); +} + +export function json( + res: import("node:http").ServerResponse, + data: unknown, + status = 200, +): void { + res.writeHead(status, { "Content-Type": "application/json" }); + res.end(JSON.stringify(data)); +} + +export function html( + res: import("node:http").ServerResponse, + content: string, +): void { + res.writeHead(200, { "Content-Type": "text/html" }); + res.end(content); +} + +export function send( + res: import("node:http").ServerResponse, + body: string | Buffer, + status = 200, + headers: Record = {}, +): void { + res.writeHead(status, headers); + res.end(body); +} + +export function requestUrl(req: IncomingMessage): URL { + return new URL(req.url ?? "/", "http://localhost"); +} + +export function toWebRequest(req: IncomingMessage): Request { + const headers = new Headers(); + for (const [key, value] of Object.entries(req.headers)) { + if (value === undefined) continue; + if (Array.isArray(value)) { + for (const item of value) headers.append(key, item); + } else { + headers.set(key, value); + } + } + + const init: RequestInit & { duplex?: "half" } = { + method: req.method, + headers, + }; + + if (req.method !== "GET" && req.method !== "HEAD") { + init.body = Readable.toWeb(req) as unknown as BodyInit; + init.duplex = "half"; + } + + return new Request(`http://localhost${req.url ?? "/"}`, init); +} diff --git a/extensions/plannotator/server/ide.ts b/extensions/plannotator/server/ide.ts new file mode 100644 index 0000000..c349e31 --- /dev/null +++ b/extensions/plannotator/server/ide.ts @@ -0,0 +1,46 @@ +/** + * IDE integration — open plan diffs in VS Code. + * Node.js equivalent of packages/server/ide.ts. + */ + +import { spawn } from "node:child_process"; + +/** Open two files in VS Code's diff viewer. Node.js equivalent of packages/server/ide.ts */ +export function openEditorDiff( + oldPath: string, + newPath: string, +): Promise<{ ok: true } | { error: string }> { + return new Promise((resolve) => { + const proc = spawn("code", ["--diff", oldPath, newPath], { + stdio: ["ignore", "ignore", "pipe"], + }); + let stderr = ""; + proc.stderr?.on("data", (chunk: Buffer) => { + stderr += chunk.toString(); + }); + proc.on("error", (err) => { + if (err.message.includes("ENOENT")) { + resolve({ + error: + "VS Code CLI not found. Run 'Shell Command: Install code command in PATH' from the VS Code command palette.", + }); + } else { + resolve({ error: err.message }); + } + }); + proc.on("close", (code) => { + if (code !== 0) { + if (stderr.includes("not found") || stderr.includes("ENOENT")) { + resolve({ + error: + "VS Code CLI not found. Run 'Shell Command: Install code command in PATH' from the VS Code command palette.", + }); + } else { + resolve({ error: `code --diff exited with ${code}: ${stderr}` }); + } + } else { + resolve({ ok: true }); + } + }); + }); +} diff --git a/extensions/plannotator/server/integrations.ts b/extensions/plannotator/server/integrations.ts new file mode 100644 index 0000000..a68bcb3 --- /dev/null +++ b/extensions/plannotator/server/integrations.ts @@ -0,0 +1,195 @@ +/** + * Note-taking app integrations (Obsidian, Bear, Octarine). + * Node.js equivalents of packages/server/integrations.ts. + * Config types, save functions, tag extraction, filename generation + */ + +import { execSync, spawn } from "node:child_process"; +import { existsSync, mkdirSync, statSync, writeFileSync } from "node:fs"; +import { basename, join } from "node:path"; + +import { + type ObsidianConfig, + type BearConfig, + type OctarineConfig, + type IntegrationResult, + extractTitle, + generateFrontmatter, + generateFilename, + generateOctarineFrontmatter, + stripH1, + buildHashtags, + buildBearContent, + detectObsidianVaults, +} from "../generated/integrations-common.js"; +import { sanitizeTag } from "../generated/project.js"; +import { resolveUserPath } from "../generated/resolve-file.js"; + +export type { ObsidianConfig, BearConfig, OctarineConfig, IntegrationResult }; +export { + extractTitle, + generateFrontmatter, + generateFilename, + generateOctarineFrontmatter, + stripH1, + buildHashtags, + buildBearContent, + detectObsidianVaults, +}; + +/** Detect project name from git or cwd (sync). Used by extractTags for note integrations. */ +function detectProjectNameSync(): string | null { + try { + const toplevel = execSync("git rev-parse --show-toplevel", { + encoding: "utf-8", + stdio: ["pipe", "pipe", "pipe"], + }).trim(); + if (toplevel) { + const name = sanitizeTag(basename(toplevel)); + if (name) return name; + } + } catch { + /* not in a git repo */ + } + try { + return sanitizeTag(basename(process.cwd())) ?? null; + } catch { + return null; + } +} + +export async function extractTags(markdown: string): Promise { + const tags = new Set(["plannotator"]); + const projectName = detectProjectNameSync(); + if (projectName) tags.add(projectName); + const stopWords = new Set([ + "the", + "and", + "for", + "with", + "this", + "that", + "from", + "into", + "plan", + "implementation", + "overview", + "phase", + "step", + "steps", + ]); + const h1Match = markdown.match( + /^#\s+(?:Implementation\s+Plan:|Plan:)?\s*(.+)$/im, + ); + if (h1Match) { + h1Match[1] + .toLowerCase() + .replace(/[^\w\s-]/g, " ") + .split(/\s+/) + .filter((w) => w.length > 2 && !stopWords.has(w)) + .slice(0, 3) + .forEach((w) => tags.add(w)); + } + const seenLangs = new Set(); + let langMatch: RegExpExecArray | null; + const langRegex = /```(\w+)/g; + while ((langMatch = langRegex.exec(markdown)) !== null) { + const lang = langMatch[1]; + const n = lang.toLowerCase(); + if ( + !seenLangs.has(n) && + !["json", "yaml", "yml", "text", "txt", "markdown", "md"].includes(n) + ) { + seenLangs.add(n); + tags.add(n); + } + } + return Array.from(tags).slice(0, 7); +} + +export async function saveToObsidian( + config: ObsidianConfig, +): Promise { + try { + const { vaultPath, folder, plan } = config; + if (!vaultPath?.trim()) { + return { success: false, error: "Vault path is required" }; + } + const normalizedVault = resolveUserPath(vaultPath); + if (!existsSync(normalizedVault)) + return { + success: false, + error: `Vault path does not exist: ${normalizedVault}`, + }; + if (!statSync(normalizedVault).isDirectory()) + return { + success: false, + error: `Vault path is not a directory: ${normalizedVault}`, + }; + const folderName = folder.trim() || "plannotator"; + const targetFolder = join(normalizedVault, folderName); + if (!existsSync(targetFolder)) mkdirSync(targetFolder, { recursive: true }); + const filename = generateFilename( + plan, + config.filenameFormat, + config.filenameSeparator, + ); + const filePath = join(targetFolder, filename); + const tags = await extractTags(plan); + const frontmatter = generateFrontmatter(tags); + const content = `${frontmatter}\n\n[[Plannotator Plans]]\n\n${plan}`; + writeFileSync(filePath, content); + return { success: true, path: filePath }; + } catch (err) { + return { + success: false, + error: err instanceof Error ? err.message : "Unknown error", + }; + } +} + +export async function saveToBear( + config: BearConfig, +): Promise { + try { + const { plan, customTags, tagPosition = "append" } = config; + const title = extractTitle(plan); + const body = stripH1(plan); + const tags = customTags?.trim() ? undefined : await extractTags(plan); + const hashtags = buildHashtags(customTags, tags ?? []); + const content = buildBearContent(body, hashtags, tagPosition); + const url = `bear://x-callback-url/create?title=${encodeURIComponent(title)}&text=${encodeURIComponent(content)}&open_note=no`; + spawn("open", [url], { stdio: "ignore" }); + return { success: true }; + } catch (err) { + return { + success: false, + error: err instanceof Error ? err.message : "Unknown error", + }; + } +} + +export async function saveToOctarine( + config: OctarineConfig, +): Promise { + try { + const { plan } = config; + const workspace = config.workspace.trim(); + if (!workspace) return { success: false, error: "Workspace is required" }; + const folder = config.folder.trim() || "plannotator"; + const filename = generateFilename(plan); + const base = filename.replace(/\.md$/, ""); + const path = folder ? `${folder}/${base}` : base; + const tags = await extractTags(plan); + const frontmatter = generateOctarineFrontmatter(tags); + const content = `${frontmatter}\n\n${plan}`; + const url = `octarine://create?path=${encodeURIComponent(path)}&content=${encodeURIComponent(content)}&workspace=${encodeURIComponent(workspace)}&fresh=true&openAfter=false`; + spawn("open", [url], { stdio: "ignore" }); + return { success: true, path }; + } catch (err) { + return { + success: false, + error: err instanceof Error ? err.message : "Unknown error", + }; + } +} diff --git a/extensions/plannotator/server/network.test.ts b/extensions/plannotator/server/network.test.ts new file mode 100644 index 0000000..174e715 --- /dev/null +++ b/extensions/plannotator/server/network.test.ts @@ -0,0 +1,109 @@ +import { afterEach, describe, expect, test } from "bun:test"; +import { getServerHostname, getServerPort, isRemoteSession } from "./network"; + +const savedEnv: Record = {}; +const envKeys = ["PLANNOTATOR_REMOTE", "PLANNOTATOR_PORT", "SSH_TTY", "SSH_CONNECTION"]; + +function clearEnv() { + for (const key of envKeys) { + savedEnv[key] = process.env[key]; + delete process.env[key]; + } +} + +afterEach(() => { + for (const key of envKeys) { + if (savedEnv[key] !== undefined) { + process.env[key] = savedEnv[key]; + } else { + delete process.env[key]; + } + } +}); + +describe("pi remote detection", () => { + test("false by default", () => { + clearEnv(); + expect(isRemoteSession()).toBe(false); + }); + + test("true when PLANNOTATOR_REMOTE=1", () => { + clearEnv(); + process.env.PLANNOTATOR_REMOTE = "1"; + expect(isRemoteSession()).toBe(true); + }); + + test("true when PLANNOTATOR_REMOTE=true", () => { + clearEnv(); + process.env.PLANNOTATOR_REMOTE = "true"; + expect(isRemoteSession()).toBe(true); + }); + + test("false when PLANNOTATOR_REMOTE=0", () => { + clearEnv(); + process.env.PLANNOTATOR_REMOTE = "0"; + expect(isRemoteSession()).toBe(false); + }); + + test("false when PLANNOTATOR_REMOTE=false", () => { + clearEnv(); + process.env.PLANNOTATOR_REMOTE = "false"; + expect(isRemoteSession()).toBe(false); + }); + + test("PLANNOTATOR_REMOTE=false overrides SSH_TTY", () => { + clearEnv(); + process.env.PLANNOTATOR_REMOTE = "false"; + process.env.SSH_TTY = "/dev/pts/0"; + expect(isRemoteSession()).toBe(false); + }); + + test("PLANNOTATOR_REMOTE=0 overrides SSH_CONNECTION", () => { + clearEnv(); + process.env.PLANNOTATOR_REMOTE = "0"; + process.env.SSH_CONNECTION = "192.168.1.1 12345 192.168.1.2 22"; + expect(isRemoteSession()).toBe(false); + }); + + test("true when SSH_TTY is set and env var is unset", () => { + clearEnv(); + process.env.SSH_TTY = "/dev/pts/0"; + expect(isRemoteSession()).toBe(true); + }); +}); + +describe("pi port selection", () => { + test("uses random local port when false overrides SSH", () => { + clearEnv(); + process.env.PLANNOTATOR_REMOTE = "false"; + process.env.SSH_TTY = "/dev/pts/0"; + expect(getServerPort()).toEqual({ port: 0, portSource: "random" }); + }); + + test("uses default remote port when SSH is detected", () => { + clearEnv(); + process.env.SSH_CONNECTION = "192.168.1.1 12345 192.168.1.2 22"; + expect(getServerPort()).toEqual({ port: 19432, portSource: "remote-default" }); + }); + + test("PLANNOTATOR_PORT still takes precedence", () => { + clearEnv(); + process.env.PLANNOTATOR_REMOTE = "false"; + process.env.SSH_TTY = "/dev/pts/0"; + process.env.PLANNOTATOR_PORT = "9999"; + expect(getServerPort()).toEqual({ port: 9999, portSource: "env" }); + }); +}); + +describe("pi server hostname", () => { + test("binds local sessions to loopback", () => { + clearEnv(); + expect(getServerHostname()).toBe("127.0.0.1"); + }); + + test("binds remote sessions to all interfaces", () => { + clearEnv(); + process.env.PLANNOTATOR_REMOTE = "1"; + expect(getServerHostname()).toBe("0.0.0.0"); + }); +}); diff --git a/extensions/plannotator/server/network.ts b/extensions/plannotator/server/network.ts new file mode 100644 index 0000000..522f4ef --- /dev/null +++ b/extensions/plannotator/server/network.ts @@ -0,0 +1,173 @@ +/** + * Network utilities — remote detection, port binding, browser opening. + * isRemoteSession, getServerPort, listenOnPort, openBrowser + */ + +import { spawn } from "node:child_process"; +import type { Server } from "node:http"; +import { release } from "node:os"; + +const DEFAULT_REMOTE_PORT = 19432; +const LOOPBACK_HOST = "127.0.0.1"; + +/** + * Check if running in a remote session (SSH, devcontainer, etc.) + * Honors PLANNOTATOR_REMOTE as a tri-state override, or detects SSH_TTY/SSH_CONNECTION. + */ +function getRemoteOverride(): boolean | null { + const remote = process.env.PLANNOTATOR_REMOTE; + if (remote === undefined) { + return null; + } + + if (remote === "1" || remote?.toLowerCase() === "true") { + return true; + } + + if (remote === "0" || remote?.toLowerCase() === "false") { + return false; + } + + return null; +} + +export function isRemoteSession(): boolean { + const remoteOverride = getRemoteOverride(); + if (remoteOverride !== null) { + return remoteOverride; + } + // Legacy SSH detection + if (process.env.SSH_TTY || process.env.SSH_CONNECTION) { + return true; + } + return false; +} + +/** + * Get the server port to use. + * - PLANNOTATOR_PORT env var takes precedence + * - Remote sessions default to 19432 (for port forwarding) + * - Local sessions use random port + * Returns { port, portSource } so caller can notify user if needed. + */ +export function getServerPort(): { + port: number; + portSource: "env" | "remote-default" | "random"; +} { + const envPort = process.env.PLANNOTATOR_PORT; + if (envPort) { + const parsed = parseInt(envPort, 10); + if (!Number.isNaN(parsed) && parsed > 0 && parsed < 65536) { + return { port: parsed, portSource: "env" }; + } + // Invalid port - fall back silently, caller can check env var themselves + } + if (isRemoteSession()) { + return { port: DEFAULT_REMOTE_PORT, portSource: "remote-default" }; + } + return { port: 0, portSource: "random" }; +} + +export function getServerHostname(): string { + return isRemoteSession() ? "0.0.0.0" : LOOPBACK_HOST; +} + +const MAX_RETRIES = 5; +const RETRY_DELAY_MS = 500; + +export async function listenOnPort( + server: Server, +): Promise<{ port: number; portSource: "env" | "remote-default" | "random" }> { + const result = getServerPort(); + + for (let attempt = 1; attempt <= MAX_RETRIES; attempt++) { + try { + await new Promise((resolve, reject) => { + server.once("error", reject); + server.listen( + result.port, + getServerHostname(), + () => { + server.removeListener("error", reject); + resolve(); + }, + ); + }); + const addr = server.address() as { port: number }; + return { port: addr.port, portSource: result.portSource }; + } catch (err: unknown) { + const isAddressInUse = + err instanceof Error && err.message.includes("EADDRINUSE"); + if (isAddressInUse && attempt < MAX_RETRIES) { + await new Promise((r) => setTimeout(r, RETRY_DELAY_MS)); + continue; + } + if (isAddressInUse) { + const hint = isRemoteSession() + ? " (set PLANNOTATOR_PORT to use a different port)" + : ""; + throw new Error( + `Port ${result.port} in use after ${MAX_RETRIES} retries${hint}`, + ); + } + throw err; + } + } + + // Unreachable, but satisfies TypeScript + throw new Error("Failed to bind port"); +} + +/** + * Open URL in system browser (Node-compatible, no Bun $ dependency). + * Honors PLANNOTATOR_BROWSER and BROWSER env vars. + * Returns { opened: true } if browser was opened, { opened: false, isRemote: true, url } if remote session. + */ +export function openBrowser(url: string): { + opened: boolean; + isRemote?: boolean; + url?: string; +} { + const browser = process.env.PLANNOTATOR_BROWSER || process.env.BROWSER; + if (isRemoteSession() && !browser) { + return { opened: false, isRemote: true, url }; + } + + try { + const platform = process.platform; + const wsl = + platform === "linux" && release().toLowerCase().includes("microsoft"); + + let cmd: string; + let args: string[]; + + if (browser) { + if (process.env.PLANNOTATOR_BROWSER && platform === "darwin") { + cmd = "open"; + args = ["-a", browser, url]; + } else if (platform === "win32" || wsl) { + cmd = "cmd.exe"; + args = ["/c", "start", "", browser, url]; + } else { + cmd = browser; + args = [url]; + } + } else if (platform === "win32" || wsl) { + cmd = "cmd.exe"; + args = ["/c", "start", "", url]; + } else if (platform === "darwin") { + cmd = "open"; + args = [url]; + } else { + cmd = "xdg-open"; + args = [url]; + } + + const child = spawn(cmd, args, { detached: true, stdio: "ignore" }); + child.once("error", () => {}); + child.unref(); + return { opened: true }; + } catch { + return { opened: false }; + } +} diff --git a/extensions/plannotator/server/pr.ts b/extensions/plannotator/server/pr.ts new file mode 100644 index 0000000..0c14b81 --- /dev/null +++ b/extensions/plannotator/server/pr.ts @@ -0,0 +1,124 @@ +/** + * PR/MR provider for Node.js runtime. + * Node.js PRRuntime + bound dispatch functions from shared pr-provider. + */ + +import { spawn } from "node:child_process"; + +import { + checkAuth as checkAuthCore, + fetchPRContext as fetchPRContextCore, + fetchPR as fetchPRCore, + fetchPRFileContent as fetchPRFileContentCore, + fetchPRViewedFiles as fetchPRViewedFilesCore, + fetchPRStack as fetchPRStackCore, + fetchPRList as fetchPRListCore, + getUser as getUserCore, + markPRFilesViewed as markPRFilesViewedCore, + type PRMetadata, + type PRRef, + type PRReviewFileComment, + type PRRuntime, + type PRStackTree, + type PRListItem, + parsePRUrl as parsePRUrlCore, + submitPRReview as submitPRReviewCore, +} from "../generated/pr-provider.js"; + +const prRuntime: PRRuntime = { + async runCommand(cmd, args) { + return new Promise((resolve, reject) => { + const proc = spawn(cmd, args, { stdio: ["ignore", "pipe", "pipe"] }); + let stdout = ""; + let stderr = ""; + proc.stdout?.on("data", (chunk: Buffer) => { + stdout += chunk.toString(); + }); + proc.stderr?.on("data", (chunk: Buffer) => { + stderr += chunk.toString(); + }); + proc.on("error", reject); + proc.on("close", (exitCode) => { + resolve({ stdout, stderr, exitCode: exitCode ?? 1 }); + }); + }); + }, + async runCommandWithInput(cmd, args, input) { + return new Promise((resolve, reject) => { + const proc = spawn(cmd, args, { stdio: ["pipe", "pipe", "pipe"] }); + let stdout = ""; + let stderr = ""; + proc.stdout?.on("data", (chunk: Buffer) => { + stdout += chunk.toString(); + }); + proc.stderr?.on("data", (chunk: Buffer) => { + stderr += chunk.toString(); + }); + proc.on("error", reject); + proc.on("close", (exitCode) => { + resolve({ stdout, stderr, exitCode: exitCode ?? 1 }); + }); + proc.stdin?.write(input); + proc.stdin?.end(); + }); + }, +}; + +export const parsePRUrl = parsePRUrlCore; +export function checkPRAuth(ref: PRRef) { + return checkAuthCore(prRuntime, ref); +} +export function getPRUser(ref: PRRef) { + return getUserCore(prRuntime, ref); +} +export function fetchPR(ref: PRRef) { + return fetchPRCore(prRuntime, ref); +} +export function fetchPRContext(ref: PRRef) { + return fetchPRContextCore(prRuntime, ref); +} +export function fetchPRFileContent(ref: PRRef, sha: string, filePath: string) { + return fetchPRFileContentCore(prRuntime, ref, sha, filePath); +} +export function submitPRReview( + ref: PRRef, + headSha: string, + action: "approve" | "comment", + body: string, + fileComments: PRReviewFileComment[], +) { + return submitPRReviewCore( + prRuntime, + ref, + headSha, + action, + body, + fileComments, + ); +} + +export function fetchPRViewedFiles(ref: PRRef): Promise> { + return fetchPRViewedFilesCore(prRuntime, ref); +} + +export function markPRFilesViewed( + ref: PRRef, + prNodeId: string, + filePaths: string[], + viewed: boolean, +): Promise { + return markPRFilesViewedCore(prRuntime, ref, prNodeId, filePaths, viewed); +} + +export function fetchPRStack( + ref: PRRef, + metadata: PRMetadata, +): Promise { + return fetchPRStackCore(prRuntime, ref, metadata); +} + +export function fetchPRList( + ref: PRRef, +): Promise { + return fetchPRListCore(prRuntime, ref); +} diff --git a/extensions/plannotator/server/project.ts b/extensions/plannotator/server/project.ts new file mode 100644 index 0000000..2a05009 --- /dev/null +++ b/extensions/plannotator/server/project.ts @@ -0,0 +1,64 @@ +/** + * Project detection — repo info, project name, remote URL parsing. + * detectProjectName, getRepoInfo, parseRemoteUrl + */ + +import { execSync } from "node:child_process"; +import { basename } from "node:path"; +import { sanitizeTag } from "../generated/project.js"; +import { parseRemoteUrl, getDirName } from "../generated/repo.js"; + +/** Run a git command and return stdout (empty string on error). */ +function git(cmd: string): string { + try { + return execSync(`git ${cmd}`, { + encoding: "utf-8", + stdio: ["pipe", "pipe", "pipe"], + }).trim(); + } catch { + return ""; + } +} + +export function detectProjectName(): string { + try { + const toplevel = execSync("git rev-parse --show-toplevel", { + encoding: "utf-8", + stdio: ["pipe", "pipe", "pipe"], + }).trim(); + const name = basename(toplevel); + return sanitizeTag(name) ?? "_unknown"; + } catch { + // Not a git repo — fall back to cwd + } + try { + const name = basename(process.cwd()); + return sanitizeTag(name) ?? "_unknown"; + } catch { + return "_unknown"; + } +} + +export function getRepoInfo(): { display: string; branch?: string } | null { + const branch = git("rev-parse --abbrev-ref HEAD"); + const safeBranch = branch && branch !== "HEAD" ? branch : undefined; + + const originUrl = git("remote get-url origin"); + const orgRepo = parseRemoteUrl(originUrl); + if (orgRepo) { + return { display: orgRepo, branch: safeBranch }; + } + + const topLevel = git("rev-parse --show-toplevel"); + const repoName = getDirName(topLevel); + if (repoName) { + return { display: repoName, branch: safeBranch }; + } + + const cwdName = getDirName(process.cwd()); + if (cwdName) { + return { display: cwdName }; + } + + return null; +} diff --git a/extensions/plannotator/server/reference.ts b/extensions/plannotator/server/reference.ts new file mode 100644 index 0000000..5bb6cd5 --- /dev/null +++ b/extensions/plannotator/server/reference.ts @@ -0,0 +1,358 @@ +/** + * Document and reference handlers (Node.js equivalents of packages/server/reference-handlers.ts). + * VaultNode, buildFileTree, walkMarkdownFiles, handleDocRequest, + * detectObsidianVaults, handleObsidian*, handleFileBrowserRequest + */ + +import { + existsSync, + readdirSync, + readFileSync, + statSync, + type Dirent, +} from "node:fs"; +import type { ServerResponse } from "node:http"; +import { join, resolve as resolvePath } from "node:path"; + +import { json, parseBody } from "./helpers"; +import type { IncomingMessage } from "node:http"; + +import { + type VaultNode, + buildFileTree, + FILE_BROWSER_EXCLUDED, +} from "../generated/reference-common.js"; +import { detectObsidianVaults } from "../generated/integrations-common.js"; +import { + isAbsoluteUserPath, + isCodeFilePath, + resolveCodeFile, + resolveMarkdownFile, + resolveUserPath, + isWithinProjectRoot, + warmFileListCache, +} from "../generated/resolve-file.js"; +import { htmlToMarkdown } from "../generated/html-to-markdown.js"; +import { preloadFile } from "@pierre/diffs/ssr"; + +type Res = ServerResponse; + +/** Recursively walk a directory collecting files by extension, skipping ignored dirs. */ +function walkMarkdownFiles(dir: string, root: string, results: string[], extensions: RegExp = /\.(mdx?|html?)$/i): void { + let entries: Dirent[]; + try { + entries = readdirSync(dir, { withFileTypes: true }) as Dirent[]; + } catch { + return; + } + for (const entry of entries) { + if (entry.isDirectory()) { + if (FILE_BROWSER_EXCLUDED.includes(entry.name + "/")) continue; + walkMarkdownFiles(join(dir, entry.name), root, results, extensions); + } else if (entry.isFile() && extensions.test(entry.name)) { + const relative = join(dir, entry.name) + .slice(root.length + 1) + .replace(/\\/g, "/"); + results.push(relative); + } + } +} + +/** Serve a linked markdown document. Uses shared resolveMarkdownFile for parity with Bun server. */ +export async function handleDocRequest(res: Res, url: URL): Promise { + const requestedPath = url.searchParams.get("path"); + if (!requestedPath) { + json(res, { error: "Missing path parameter" }, 400); + return; + } + + // Side-channel: warm the code-file walk so /api/doc/exists POSTs land warm. + void warmFileListCache(process.cwd(), "code"); + + // Try resolving relative to base directory first (used by annotate mode). + // No isWithinProjectRoot check here — intentional, matches pre-existing + // markdown behavior. The base param is set server-side by the annotate + // server (see serverAnnotate.ts /api/doc route). The standalone HTML + // block below (no base) retains its cwd-based containment check. + const base = url.searchParams.get("base"); + const resolvedBase = base ? resolveUserPath(base) : null; + if ( + resolvedBase && + !isAbsoluteUserPath(requestedPath) && + /\.(mdx?|html?)$/i.test(requestedPath) + ) { + const fromBase = resolveUserPath(requestedPath, resolvedBase); + try { + if (existsSync(fromBase)) { + const raw = readFileSync(fromBase, "utf-8"); + const isHtml = /\.html?$/i.test(requestedPath); + const markdown = isHtml ? htmlToMarkdown(raw) : raw; + json(res, { markdown, filepath: fromBase, isConverted: isHtml }); + return; + } + } catch { + /* fall through to standard resolution */ + } + } + + // HTML files: resolve directly (not via resolveMarkdownFile which only handles .md/.mdx) + const projectRoot = process.cwd(); + if (/\.html?$/i.test(requestedPath)) { + const resolvedHtml = resolveUserPath(requestedPath, resolvedBase || projectRoot); + if (!isWithinProjectRoot(resolvedHtml, projectRoot)) { + json(res, { error: "Access denied: path is outside project root" }, 403); + return; + } + try { + if (existsSync(resolvedHtml)) { + const html = readFileSync(resolvedHtml, "utf-8"); + json(res, { markdown: htmlToMarkdown(html), filepath: resolvedHtml, isConverted: true }); + return; + } + } catch { /* fall through to 404 */ } + json(res, { error: `File not found: ${requestedPath}` }, 404); + return; + } + + // Code files: try literal resolve first; on miss, fall back to smart resolver. + if (isCodeFilePath(requestedPath)) { + const literalPath = resolveUserPath(requestedPath, resolvedBase || projectRoot); + const literalAllowed = resolvedBase || isWithinProjectRoot(literalPath, projectRoot); + + let resolvedCode: string | null = null; + if (literalAllowed && existsSync(literalPath)) { + resolvedCode = literalPath; + } + + if (!resolvedCode) { + const result = await resolveCodeFile(requestedPath, projectRoot); + if (result.kind === "found") { + resolvedCode = result.path; + } else if (result.kind === "ambiguous") { + const prefix = `${projectRoot}/`; + const relative = result.matches.map((m: string) => + m.startsWith(prefix) ? m.slice(prefix.length) : m, + ); + json(res, { error: `Ambiguous path '${requestedPath}'`, matches: relative }, 400); + return; + } else { + json(res, { error: `File not found: ${requestedPath}` }, 404); + return; + } + if (!isWithinProjectRoot(resolvedCode, projectRoot)) { + json(res, { error: "Access denied: path is outside project root" }, 403); + return; + } + } + + try { + const stat = statSync(resolvedCode); + if (stat.size > 2 * 1024 * 1024) { + json(res, { error: "File too large (max 2MB)" }, 413); + return; + } + const contents = readFileSync(resolvedCode, "utf-8"); + const displayName = resolvedCode.split("/").pop() || resolvedCode; + let prerenderedHTML: string | undefined; + try { + const result = await preloadFile({ + file: { name: displayName, contents }, + options: { disableFileHeader: true }, + }); + prerenderedHTML = result.prerenderedHTML; + } catch { + // Fall back to client-side rendering + } + json(res, { codeFile: true, contents, filepath: resolvedCode, prerenderedHTML }); + return; + } catch { + json(res, { error: `File not found: ${requestedPath}` }, 404); + return; + } + } + + const result = resolveMarkdownFile(requestedPath, projectRoot); + + if (result.kind === "ambiguous") { + json( + res, + { + error: `Ambiguous filename '${result.input}': found ${result.matches.length} matches`, + matches: result.matches, + }, + 400, + ); + return; + } + + if (result.kind === "not_found" || result.kind === "unavailable") { + json(res, { error: `File not found: ${result.input}` }, 404); + return; + } + + try { + const markdown = readFileSync(result.path, "utf-8"); + json(res, { markdown, filepath: result.path }); + } catch { + json(res, { error: "Failed to read file" }, 500); + } +} + +/** + * Batch existence check for code-file paths the renderer wants to linkify. + * POST /api/doc/exists with { paths: string[] }. + * + * TODO(security): see packages/server/reference-handlers.ts handleDocExists — + * both absolute paths in `paths[]` AND the `base` field are honored verbatim + * with no project-root containment check, leaking file existence back to the + * caller. Fix in lockstep with the Bun handler. + */ +export async function handleDocExistsRequest(res: Res, req: IncomingMessage): Promise { + const body = await parseBody(req); + const paths = (body as { paths?: unknown }).paths; + if (!Array.isArray(paths) || !paths.every((p) => typeof p === "string")) { + json(res, { error: "Expected { paths: string[] }" }, 400); + return; + } + if (paths.length > 500) { + json(res, { error: "Too many paths (max 500)" }, 400); + return; + } + const baseRaw = (body as { base?: unknown }).base; + const baseDir = typeof baseRaw === "string" && baseRaw.length > 0 + ? resolveUserPath(baseRaw) + : undefined; + + const projectRoot = process.cwd(); + const results: Record< + string, + | { status: "found"; resolved: string } + | { status: "ambiguous"; matches: string[] } + | { status: "missing" } + | { status: "unavailable" } + > = {}; + + await Promise.all( + (paths as string[]).map(async (p) => { + const r = await resolveCodeFile(p, projectRoot, baseDir); + if (r.kind === "found") { + results[p] = { status: "found", resolved: r.path }; + } else if (r.kind === "ambiguous") { + const prefix = `${projectRoot}/`; + results[p] = { + status: "ambiguous", + matches: r.matches.map((m: string) => (m.startsWith(prefix) ? m.slice(prefix.length) : m)), + }; + } else if (r.kind === "unavailable") { + results[p] = { status: "unavailable" }; + } else { + results[p] = { status: "missing" }; + } + }), + ); + + json(res, { results }); +} + +export function handleObsidianVaultsRequest(res: Res): void { + json(res, { vaults: detectObsidianVaults() }); +} + +export function handleObsidianFilesRequest(res: Res, url: URL): void { + const vaultPath = url.searchParams.get("vaultPath"); + if (!vaultPath) { + json(res, { error: "Missing vaultPath parameter" }, 400); + return; + } + const resolvedVault = resolveUserPath(vaultPath); + if (!existsSync(resolvedVault) || !statSync(resolvedVault).isDirectory()) { + json(res, { error: "Invalid vault path" }, 400); + return; + } + try { + const files: string[] = []; + walkMarkdownFiles(resolvedVault, resolvedVault, files, /\.mdx?$/i); + files.sort(); + json(res, { tree: buildFileTree(files) }); + } catch { + json(res, { error: "Failed to list vault files" }, 500); + } +} + +export function handleObsidianDocRequest(res: Res, url: URL): void { + const vaultPath = url.searchParams.get("vaultPath"); + const filePath = url.searchParams.get("path"); + if (!vaultPath || !filePath) { + json(res, { error: "Missing vaultPath or path parameter" }, 400); + return; + } + if (!/\.mdx?$/i.test(filePath)) { + json(res, { error: "Only markdown files are supported" }, 400); + return; + } + const resolvedVault = resolveUserPath(vaultPath); + let resolvedFile = resolvePath(resolvedVault, filePath); + + // Bare filename search within vault + if (!existsSync(resolvedFile) && !filePath.includes("/")) { + const files: string[] = []; + walkMarkdownFiles(resolvedVault, resolvedVault, files, /\.mdx?$/i); + const matches = files.filter( + (f) => f.split("/").pop()!.toLowerCase() === filePath.toLowerCase(), + ); + if (matches.length === 1) { + resolvedFile = resolvePath(resolvedVault, matches[0]); + } else if (matches.length > 1) { + json( + res, + { + error: `Ambiguous filename '${filePath}': found ${matches.length} matches`, + matches, + }, + 400, + ); + return; + } + } + + // Security: must be within vault + if ( + !resolvedFile.startsWith(resolvedVault + "/") && + resolvedFile !== resolvedVault + ) { + json(res, { error: "Access denied: path is outside vault" }, 403); + return; + } + + if (!existsSync(resolvedFile)) { + json(res, { error: `File not found: ${filePath}` }, 404); + return; + } + try { + const markdown = readFileSync(resolvedFile, "utf-8"); + json(res, { markdown, filepath: resolvedFile }); + } catch { + json(res, { error: "Failed to read file" }, 500); + } +} + +export function handleFileBrowserRequest(res: Res, url: URL): void { + const dirPath = url.searchParams.get("dirPath"); + if (!dirPath) { + json(res, { error: "Missing dirPath parameter" }, 400); + return; + } + const resolvedDir = resolveUserPath(dirPath); + if (!existsSync(resolvedDir) || !statSync(resolvedDir).isDirectory()) { + json(res, { error: "Invalid directory path" }, 400); + return; + } + try { + const files: string[] = []; + walkMarkdownFiles(resolvedDir, resolvedDir, files); + files.sort(); + json(res, { tree: buildFileTree(files) }); + } catch { + json(res, { error: "Failed to list directory files" }, 500); + } +} diff --git a/extensions/plannotator/server/serverAnnotate.ts b/extensions/plannotator/server/serverAnnotate.ts new file mode 100644 index 0000000..f183459 --- /dev/null +++ b/extensions/plannotator/server/serverAnnotate.ts @@ -0,0 +1,181 @@ +import { createServer } from "node:http"; +import { dirname, resolve as resolvePath } from "node:path"; + +import { contentHash, deleteDraft } from "../generated/draft.js"; +import { saveConfig, detectGitUser, getServerConfig } from "../generated/config.js"; + +import { + handleDraftRequest, + handleFavicon, + handleImageRequest, + handleUploadRequest, +} from "./handlers.js"; +import { html, json, parseBody, requestUrl } from "./helpers.js"; + +import { listenOnPort } from "./network.js"; + +import { getRepoInfo } from "./project.js"; +import { + handleDocRequest, + handleDocExistsRequest, + handleFileBrowserRequest, + handleObsidianVaultsRequest, + handleObsidianFilesRequest, + handleObsidianDocRequest, +} from "./reference.js"; +import { warmFileListCache } from "../generated/resolve-file.js"; +import { createExternalAnnotationHandler } from "./external-annotations.js"; + +export interface AnnotateServerResult { + port: number; + portSource: "env" | "remote-default" | "random"; + url: string; + waitForDecision: () => Promise<{ feedback: string; annotations: unknown[]; exit?: boolean; approved?: boolean }>; + stop: () => void; +} + +export async function startAnnotateServer(options: { + markdown: string; + filePath: string; + htmlContent: string; + origin?: string; + mode?: string; + folderPath?: string; + sharingEnabled?: boolean; + shareBaseUrl?: string; + pasteApiUrl?: string; + sourceInfo?: string; + sourceConverted?: boolean; + gate?: boolean; +}): Promise { + // Side-channel pre-warm so /api/doc/exists POSTs land on warm cache. + void warmFileListCache(process.cwd(), "code"); + const gitUser = detectGitUser(); + const sharingEnabled = + options.sharingEnabled ?? process.env.PLANNOTATOR_SHARE !== "disabled"; + const shareBaseUrl = + (options.shareBaseUrl ?? process.env.PLANNOTATOR_SHARE_URL) || undefined; + const pasteApiUrl = + (options.pasteApiUrl ?? process.env.PLANNOTATOR_PASTE_URL) || undefined; + + let resolveDecision!: (result: { + feedback: string; + annotations: unknown[]; + exit?: boolean; + approved?: boolean; + }) => void; + const decisionPromise = new Promise<{ + feedback: string; + annotations: unknown[]; + exit?: boolean; + approved?: boolean; + }>((r) => { + resolveDecision = r; + }); + + // Folder annotation has no stable markdown body, so key drafts by folder path instead. + const draftSource = + options.mode === "annotate-folder" && options.folderPath + ? `folder:${resolvePath(options.folderPath)}` + : options.markdown; + const draftKey = contentHash(draftSource); + + // Detect repo info (cached for this session) + const repoInfo = getRepoInfo(); + + const externalAnnotations = createExternalAnnotationHandler("plan"); + + const server = createServer(async (req, res) => { + const url = requestUrl(req); + + if (await externalAnnotations.handle(req, res, url)) return; + + if (url.pathname === "/api/plan" && req.method === "GET") { + json(res, { + plan: options.markdown, + origin: options.origin ?? "pi", + mode: options.mode || "annotate", + filePath: options.filePath, + sourceInfo: options.sourceInfo, + sourceConverted: options.sourceConverted ?? false, + gate: options.gate ?? false, + sharingEnabled, + shareBaseUrl, + pasteApiUrl, + repoInfo, + projectRoot: options.folderPath || process.cwd(), + serverConfig: getServerConfig(gitUser), + }); + } else if (url.pathname === "/api/config" && req.method === "POST") { + try { + const body = (await parseBody(req)) as { displayName?: string; diffOptions?: Record; conventionalComments?: boolean }; + const toSave: Record = {}; + if (body.displayName !== undefined) toSave.displayName = body.displayName; + if (body.diffOptions !== undefined) toSave.diffOptions = body.diffOptions; + if (body.conventionalComments !== undefined) toSave.conventionalComments = body.conventionalComments; + if (Object.keys(toSave).length > 0) saveConfig(toSave as Parameters[0]); + json(res, { ok: true }); + } catch { + json(res, { error: "Invalid request" }, 400); + } + } else if (url.pathname === "/api/image") { + handleImageRequest(res, url); + } else if (url.pathname === "/api/upload" && req.method === "POST") { + await handleUploadRequest(req, res); + } else if (url.pathname === "/api/draft") { + await handleDraftRequest(req, res, draftKey); + } else if (url.pathname === "/api/doc" && req.method === "GET") { + // Inject source file's directory as base for relative path resolution. + // Skip for URL annotations — there's no local directory to resolve against. + if (!url.searchParams.has("base") && options.filePath && !/^https?:\/\//i.test(options.filePath)) { + url.searchParams.set("base", dirname(resolvePath(options.filePath))); + } + await handleDocRequest(res, url); + } else if (url.pathname === "/api/doc/exists" && req.method === "POST") { + await handleDocExistsRequest(res, req); + } else if (url.pathname === "/api/obsidian/vaults") { + handleObsidianVaultsRequest(res); + } else if (url.pathname === "/api/reference/obsidian/files" && req.method === "GET") { + handleObsidianFilesRequest(res, url); + } else if (url.pathname === "/api/reference/obsidian/doc" && req.method === "GET") { + handleObsidianDocRequest(res, url); + } else if (url.pathname === "/api/reference/files" && req.method === "GET") { + handleFileBrowserRequest(res, url); + } else if (url.pathname === "/favicon.svg") { + handleFavicon(res); + } else if (url.pathname === "/api/exit" && req.method === "POST") { + deleteDraft(draftKey); + resolveDecision({ feedback: "", annotations: [], exit: true }); + json(res, { ok: true }); + } else if (url.pathname === "/api/approve" && req.method === "POST") { + deleteDraft(draftKey); + resolveDecision({ feedback: "", annotations: [], approved: true }); + json(res, { ok: true }); + } else if (url.pathname === "/api/feedback" && req.method === "POST") { + try { + const body = await parseBody(req); + deleteDraft(draftKey); + resolveDecision({ + feedback: (body.feedback as string) || "", + annotations: (body.annotations as unknown[]) || [], + }); + json(res, { ok: true }); + } catch (err) { + const message = err instanceof Error ? err.message : "Failed to process feedback"; + json(res, { error: message }, 500); + } + } else { + html(res, options.htmlContent); + } + }); + + const { port, portSource } = await listenOnPort(server); + + return { + port, + portSource, + url: `http://localhost:${port}`, + waitForDecision: () => decisionPromise, + stop: () => server.close(), + }; +} diff --git a/extensions/plannotator/server/serverPlan.ts b/extensions/plannotator/server/serverPlan.ts new file mode 100644 index 0000000..0f7b433 --- /dev/null +++ b/extensions/plannotator/server/serverPlan.ts @@ -0,0 +1,480 @@ +import { randomUUID } from "node:crypto"; +import { createServer } from "node:http"; + +import { contentHash, deleteDraft } from "../generated/draft.js"; +import { + type ArchivedPlan, + generateSlug, + getPlanVersion, + getPlanVersionPath, + getVersionCount, + listArchivedPlans, + listVersions, + readArchivedPlan, + saveAnnotations, + saveFinalSnapshot, + saveToHistory, +} from "../generated/storage.js"; +import { createEditorAnnotationHandler } from "./annotations.js"; +import { createExternalAnnotationHandler } from "./external-annotations.js"; +import { + handleDraftRequest, + handleFavicon, + handleImageRequest, + handleUploadRequest, +} from "./handlers.js"; +import { html, json, parseBody, requestUrl } from "./helpers.js"; +import { openEditorDiff } from "./ide.js"; +import { + type BearConfig, + type IntegrationResult, + type ObsidianConfig, + type OctarineConfig, + saveToBear, + saveToObsidian, + saveToOctarine, +} from "./integrations.js"; +import { listenOnPort } from "./network.js"; + +import { saveConfig, detectGitUser, getServerConfig } from "../generated/config.js"; +import { detectProjectName, getRepoInfo } from "./project.js"; +import { + handleDocRequest, + handleDocExistsRequest, + handleFileBrowserRequest, + handleObsidianDocRequest, + handleObsidianFilesRequest, + handleObsidianVaultsRequest, +} from "./reference.js"; +import { warmFileListCache } from "../generated/resolve-file.js"; + +export interface PlanReviewDecision { + approved: boolean; + feedback?: string; + savedPath?: string; + agentSwitch?: string; + permissionMode?: string; +} + +export interface PlanServerResult { + reviewId: string; + port: number; + portSource: "env" | "remote-default" | "random"; + url: string; + waitForDecision: () => Promise; + onDecision: (listener: (result: PlanReviewDecision) => void | Promise) => () => void; + waitForDone?: () => Promise; + stop: () => void; +} + +export async function startPlanReviewServer(options: { + plan: string; + htmlContent: string; + origin?: string; + permissionMode?: string; + sharingEnabled?: boolean; + shareBaseUrl?: string; + pasteApiUrl?: string; + mode?: "archive"; + customPlanPath?: string | null; +}): Promise { + // Side-channel pre-warm so /api/doc/exists POSTs land on warm cache. + void warmFileListCache(process.cwd(), "code"); + const gitUser = detectGitUser(); + const sharingEnabled = + options.sharingEnabled ?? process.env.PLANNOTATOR_SHARE !== "disabled"; + const shareBaseUrl = + (options.shareBaseUrl ?? process.env.PLANNOTATOR_SHARE_URL) || undefined; + const pasteApiUrl = + (options.pasteApiUrl ?? process.env.PLANNOTATOR_PASTE_URL) || undefined; + + // --- Archive mode setup --- + let archivePlans: ArchivedPlan[] = []; + let initialArchivePlan = ""; + let resolveDone: (() => void) | undefined; + let donePromise: Promise | undefined; + + if (options.mode === "archive") { + archivePlans = listArchivedPlans(options.customPlanPath ?? undefined); + initialArchivePlan = + archivePlans.length > 0 + ? (readArchivedPlan( + archivePlans[0].filename, + options.customPlanPath ?? undefined, + ) ?? "") + : ""; + donePromise = new Promise((resolve) => { + resolveDone = resolve; + }); + } + + // --- Plan review mode setup (skip in archive mode) --- + const repoInfo = options.mode !== "archive" ? getRepoInfo() : null; + const slug = options.mode !== "archive" ? generateSlug(options.plan) : ""; + const project = options.mode !== "archive" ? detectProjectName() : ""; + const historyResult = + options.mode !== "archive" + ? saveToHistory(project, slug, options.plan) + : { version: 0, path: "", isNew: false }; + const previousPlan = + options.mode !== "archive" && historyResult.version > 1 + ? getPlanVersion(project, slug, historyResult.version - 1) + : null; + const versionInfo = + options.mode !== "archive" + ? { + version: historyResult.version, + totalVersions: getVersionCount(project, slug), + project, + } + : null; + + const reviewId = randomUUID(); + let resolveDecision!: (result: PlanReviewDecision) => void; + const decisionListeners = new Set<(result: PlanReviewDecision) => void | Promise>(); + let decisionSettled = false; + const decisionPromise = new Promise((r) => { + resolveDecision = r; + }); + const publishDecision = (result: PlanReviewDecision): boolean => { + if (decisionSettled) return false; + decisionSettled = true; + resolveDecision(result); + for (const listener of decisionListeners) { + Promise.resolve(listener(result)).catch((error) => { + console.error("[Plan Review] Decision listener failed:", error); + }); + } + return true; + }; + + // Draft key for annotation persistence + const draftKey = options.mode !== "archive" ? contentHash(options.plan) : ""; + + // Editor annotations (in-memory, VS Code integration — skip in archive mode) + const editorAnnotations = options.mode !== "archive" ? createEditorAnnotationHandler() : null; + const externalAnnotations = options.mode !== "archive" ? createExternalAnnotationHandler("plan") : null; + + // Lazy cache for in-session archive tab + let cachedArchivePlans: ArchivedPlan[] | null = null; + + const server = createServer(async (req, res) => { + const url = requestUrl(req); + + if (url.pathname === "/api/done" && req.method === "POST") { + resolveDone?.(); + json(res, { ok: true }); + } else if (url.pathname === "/api/archive/plans" && req.method === "GET") { + const customPath = url.searchParams.get("customPath") || undefined; + if (!cachedArchivePlans) + cachedArchivePlans = listArchivedPlans(customPath); + json(res, { plans: cachedArchivePlans }); + } else if (url.pathname === "/api/archive/plan" && req.method === "GET") { + const filename = url.searchParams.get("filename"); + const customPath = url.searchParams.get("customPath") || undefined; + if (!filename) { + json(res, { error: "Missing filename" }, 400); + return; + } + const markdown = readArchivedPlan(filename, customPath); + if (!markdown) { + json(res, { error: "Not found" }, 404); + return; + } + json(res, { markdown, filepath: filename }); + } else if (url.pathname === "/api/plan/version") { + const vParam = url.searchParams.get("v"); + if (!vParam) { + json(res, { error: "Missing v parameter" }, 400); + return; + } + const v = parseInt(vParam, 10); + if (Number.isNaN(v) || v < 1) { + json(res, { error: "Invalid version number" }, 400); + return; + } + const content = getPlanVersion(project, slug, v); + if (content === null) { + json(res, { error: "Version not found" }, 404); + return; + } + json(res, { plan: content, version: v }); + } else if (url.pathname === "/api/plan/versions") { + json(res, { project, slug, versions: listVersions(project, slug) }); + } else if (url.pathname === "/api/plan") { + if (options.mode === "archive") { + json(res, { + plan: initialArchivePlan, + origin: options.origin ?? "pi", + mode: "archive", + archivePlans, + sharingEnabled, + shareBaseUrl, + serverConfig: getServerConfig(gitUser), + }); + } else { + json(res, { + plan: options.plan, + origin: options.origin ?? "pi", + permissionMode: options.permissionMode, + previousPlan, + versionInfo, + sharingEnabled, + shareBaseUrl, + pasteApiUrl, + repoInfo, + projectRoot: process.cwd(), + serverConfig: getServerConfig(gitUser), + }); + } + } else if (url.pathname === "/api/config" && req.method === "POST") { + try { + const body = (await parseBody(req)) as { displayName?: string; diffOptions?: Record; conventionalComments?: boolean }; + const toSave: Record = {}; + if (body.displayName !== undefined) toSave.displayName = body.displayName; + if (body.diffOptions !== undefined) toSave.diffOptions = body.diffOptions; + if (body.conventionalComments !== undefined) toSave.conventionalComments = body.conventionalComments; + if (Object.keys(toSave).length > 0) saveConfig(toSave as Parameters[0]); + json(res, { ok: true }); + } catch { + json(res, { error: "Invalid request" }, 400); + } + } else if (url.pathname === "/api/image") { + handleImageRequest(res, url); + } else if (url.pathname === "/api/upload" && req.method === "POST") { + await handleUploadRequest(req, res); + } else if (url.pathname === "/api/draft") { + await handleDraftRequest(req, res, draftKey); + } else if (editorAnnotations && (await editorAnnotations.handle(req, res, url))) { + return; + } else if (externalAnnotations && (await externalAnnotations.handle(req, res, url))) { + return; + } else if (url.pathname === "/api/doc" && req.method === "GET") { + await handleDocRequest(res, url); + } else if (url.pathname === "/api/doc/exists" && req.method === "POST") { + await handleDocExistsRequest(res, req); + } else if (url.pathname === "/api/obsidian/vaults") { + handleObsidianVaultsRequest(res); + } else if (url.pathname === "/api/reference/obsidian/files" && req.method === "GET") { + handleObsidianFilesRequest(res, url); + } else if (url.pathname === "/api/reference/obsidian/doc" && req.method === "GET") { + handleObsidianDocRequest(res, url); + } else if (url.pathname === "/api/reference/files" && req.method === "GET") { + handleFileBrowserRequest(res, url); + } else if ( + url.pathname === "/api/plan/vscode-diff" && + req.method === "POST" + ) { + try { + const body = await parseBody(req); + const baseVersion = body.baseVersion as number; + if (!baseVersion) { + json(res, { error: "Missing baseVersion" }, 400); + return; + } + const basePath = getPlanVersionPath(project, slug, baseVersion); + if (!basePath) { + json(res, { error: `Version ${baseVersion} not found` }, 404); + return; + } + const result = await openEditorDiff(basePath, historyResult.path); + if ("error" in result) { + json(res, { error: result.error }, 500); + return; + } + json(res, { ok: true }); + } catch (err) { + json( + res, + { + error: + err instanceof Error + ? err.message + : "Failed to open VS Code diff", + }, + 500, + ); + } + } else if (url.pathname === "/api/agents" && req.method === "GET") { + json(res, { agents: [] }); + } else if (url.pathname === "/favicon.svg") { + handleFavicon(res); + } else if (url.pathname === "/api/save-notes" && req.method === "POST") { + const results: { + obsidian?: IntegrationResult; + bear?: IntegrationResult; + octarine?: IntegrationResult; + } = {}; + try { + const body = await parseBody(req); + const promises: Promise[] = []; + const obsConfig = body.obsidian as ObsidianConfig | undefined; + const bearConfig = body.bear as BearConfig | undefined; + const octConfig = body.octarine as OctarineConfig | undefined; + if (obsConfig?.vaultPath && obsConfig?.plan) { + promises.push( + saveToObsidian(obsConfig).then((r) => { + results.obsidian = r; + }), + ); + } + if (bearConfig?.plan) { + promises.push( + saveToBear(bearConfig).then((r) => { + results.bear = r; + }), + ); + } + if (octConfig?.plan && octConfig?.workspace) { + promises.push( + saveToOctarine(octConfig).then((r) => { + results.octarine = r; + }), + ); + } + await Promise.allSettled(promises); + for (const [name, result] of Object.entries(results)) { + if (!result?.success && result) + console.error(`[${name}] Save failed: ${result.error}`); + } + } catch (err) { + console.error(`[Save Notes] Error:`, err); + json(res, { error: "Save failed" }, 500); + return; + } + json(res, { ok: true, results }); + } else if (url.pathname === "/api/approve" && req.method === "POST") { + if (decisionSettled) { + json(res, { ok: true, duplicate: true }); + return; + } + let feedback: string | undefined; + let agentSwitch: string | undefined; + let requestedPermissionMode: string | undefined; + let planSaveEnabled = true; + let planSaveCustomPath: string | undefined; + try { + const body = await parseBody(req); + if (body.feedback) feedback = body.feedback as string; + if (body.agentSwitch) agentSwitch = body.agentSwitch as string; + if (body.permissionMode) + requestedPermissionMode = body.permissionMode as string; + if (body.planSave !== undefined) { + const ps = body.planSave as { enabled: boolean; customPath?: string }; + planSaveEnabled = ps.enabled; + planSaveCustomPath = ps.customPath; + } + // Run note integrations in parallel + const integrationResults: Record = {}; + const integrationPromises: Promise[] = []; + const obsConfig = body.obsidian as ObsidianConfig | undefined; + const bearConfig = body.bear as BearConfig | undefined; + const octConfig = body.octarine as OctarineConfig | undefined; + if (obsConfig?.vaultPath && obsConfig?.plan) { + integrationPromises.push( + saveToObsidian(obsConfig).then((r) => { + integrationResults.obsidian = r; + }), + ); + } + if (bearConfig?.plan) { + integrationPromises.push( + saveToBear(bearConfig).then((r) => { + integrationResults.bear = r; + }), + ); + } + if (octConfig?.plan && octConfig?.workspace) { + integrationPromises.push( + saveToOctarine(octConfig).then((r) => { + integrationResults.octarine = r; + }), + ); + } + await Promise.allSettled(integrationPromises); + for (const [name, result] of Object.entries(integrationResults)) { + if (!result?.success && result) + console.error(`[${name}] Save failed: ${result.error}`); + } + } catch (err) { + console.error(`[Integration] Error:`, err); + } + // Save annotations and final snapshot + let savedPath: string | undefined; + if (planSaveEnabled) { + const annotations = feedback || ""; + if (annotations) saveAnnotations(slug, annotations, planSaveCustomPath); + savedPath = saveFinalSnapshot( + slug, + "approved", + options.plan, + annotations, + planSaveCustomPath, + ); + } + deleteDraft(draftKey); + const effectivePermissionMode = requestedPermissionMode || options.permissionMode; + publishDecision({ + approved: true, + feedback, + savedPath, + agentSwitch, + permissionMode: effectivePermissionMode, + }); + json(res, { ok: true, savedPath }); + } else if (url.pathname === "/api/deny" && req.method === "POST") { + if (decisionSettled) { + json(res, { ok: true, duplicate: true }); + return; + } + let feedback = "Plan rejected by user"; + let planSaveEnabled = true; + let planSaveCustomPath: string | undefined; + try { + const body = await parseBody(req); + feedback = (body.feedback as string) || feedback; + if (body.planSave !== undefined) { + const ps = body.planSave as { enabled: boolean; customPath?: string }; + planSaveEnabled = ps.enabled; + planSaveCustomPath = ps.customPath; + } + } catch { + /* use default feedback */ + } + let savedPath: string | undefined; + if (planSaveEnabled) { + saveAnnotations(slug, feedback, planSaveCustomPath); + savedPath = saveFinalSnapshot( + slug, + "denied", + options.plan, + feedback, + planSaveCustomPath, + ); + } + deleteDraft(draftKey); + publishDecision({ approved: false, feedback, savedPath }); + json(res, { ok: true, savedPath }); + } else { + html(res, options.htmlContent); + } + }); + + const { port, portSource } = await listenOnPort(server); + + return { + reviewId, + port, + portSource, + url: `http://localhost:${port}`, + waitForDecision: () => decisionPromise, + onDecision: (listener) => { + decisionListeners.add(listener); + return () => { + decisionListeners.delete(listener); + }; + }, + ...(donePromise && { waitForDone: () => donePromise }), + stop: () => server.close(), + }; +} diff --git a/extensions/plannotator/server/serverReview.ts b/extensions/plannotator/server/serverReview.ts new file mode 100644 index 0000000..8a6391b --- /dev/null +++ b/extensions/plannotator/server/serverReview.ts @@ -0,0 +1,1174 @@ +import { execSync, spawn } from "node:child_process"; +import { readFileSync, existsSync } from "node:fs"; +import { createServer } from "node:http"; +import os from "node:os"; + +import { Readable } from "node:stream"; + +import { contentHash, deleteDraft } from "../generated/draft.js"; +import { loadConfig, saveConfig, detectGitUser, getServerConfig } from "../generated/config.js"; + +export type { + DiffOption, + DiffType, + GitContext, +} from "../generated/review-core.js"; + +import { + getDisplayRepo, + getMRLabel, + getMRNumberLabel, + isSameProject, + type PRMetadata, + type PRReviewFileComment, + prRefFromMetadata, +} from "../generated/pr-provider.js"; +import { + type DiffType, + type GitCommandResult, + type GitContext, + type GitDiffOptions, + detectRemoteDefaultBranch, + getFileContentsForDiff as getFileContentsForDiffCore, + getGitContext as getGitContextCore, + gitAddFile as gitAddFileCore, + gitResetFile as gitResetFileCore, + parseWorktreeDiffType, + resolveBaseBranch, + type ReviewGitRuntime, + runGitDiff as runGitDiffCore, + validateFilePath, +} from "../generated/review-core.js"; +import { + checkoutPRHead, + getPRDiffScopeOptions, + getPRStackInfo, + resolveStackInfo, + resolvePRFullStackBaseRef, + runPRFullStackDiff, + type PRDiffScope, +} from "../generated/pr-stack.js"; + +import type { WorktreePool } from "../generated/worktree-pool.js"; + +import { createEditorAnnotationHandler } from "./annotations.js"; +import { createAgentJobHandler } from "./agent-jobs.js"; +import type { AgentJobInfo } from "../generated/agent-jobs.js"; +import { createExternalAnnotationHandler } from "./external-annotations.js"; +import { + handleDraftRequest, + handleFavicon, + handleImageRequest, + handleUploadRequest, +} from "./handlers.js"; +import { html, json, parseBody, requestUrl, toWebRequest } from "./helpers.js"; + +import { isRemoteSession, listenOnPort } from "./network.js"; +import { + fetchPR, + fetchPRContext, + fetchPRFileContent, + fetchPRList, + fetchPRStack, + fetchPRViewedFiles, + getPRUser, + markPRFilesViewed, + parsePRUrl, + submitPRReview, +} from "./pr.js"; +import { getRepoInfo } from "./project.js"; +import { + CODEX_REVIEW_SYSTEM_PROMPT, + buildCodexReviewUserMessage, + buildCodexCommand, + generateOutputPath, + parseCodexOutput, + transformReviewFindings, +} from "../generated/codex-review.js"; +import { + CLAUDE_REVIEW_PROMPT, + buildClaudeCommand, + parseClaudeStreamOutput, + transformClaudeFindings, +} from "../generated/claude-review.js"; +import { createTourSession, TOUR_EMPTY_OUTPUT_ERROR } from "../generated/tour-review.js"; + +/** Detect if running inside WSL (Windows Subsystem for Linux) */ +function detectWSL(): boolean { + if (process.platform !== "linux") return false; + if (os.release().toLowerCase().includes("microsoft")) return true; + try { + if (existsSync("/proc/version")) { + const content = readFileSync("/proc/version", "utf-8").toLowerCase(); + return content.includes("wsl") || content.includes("microsoft"); + } + } catch { /* ignore */ } + return false; +} + +export interface ReviewServerResult { + port: number; + portSource: "env" | "remote-default" | "random"; + url: string; + isRemote: boolean; + waitForDecision: () => Promise<{ + approved: boolean; + feedback: string; + annotations: unknown[]; + agentSwitch?: string; + exit?: boolean; + }>; + stop: () => void; +} + +export const reviewRuntime: ReviewGitRuntime = { + runGit( + args: string[], + options?: { cwd?: string; timeoutMs?: number }, + ): Promise { + return new Promise((resolve) => { + const proc = spawn("git", ["-c", "core.quotePath=false", ...args], { + cwd: options?.cwd, + stdio: ["ignore", "pipe", "pipe"], + }); + + let timer: ReturnType | undefined; + if (options?.timeoutMs) { + timer = setTimeout(() => proc.kill(), options.timeoutMs); + } + + const stdoutChunks: Buffer[] = []; + const stderrChunks: Buffer[] = []; + proc.stdout!.on("data", (chunk: Buffer) => stdoutChunks.push(chunk)); + proc.stderr!.on("data", (chunk: Buffer) => stderrChunks.push(chunk)); + + proc.on("close", (code) => { + if (timer) clearTimeout(timer); + resolve({ + stdout: Buffer.concat(stdoutChunks).toString("utf-8"), + stderr: Buffer.concat(stderrChunks).toString("utf-8"), + exitCode: code ?? 1, + }); + }); + + proc.on("error", () => { + if (timer) clearTimeout(timer); + resolve({ stdout: "", stderr: "git not found", exitCode: 1 }); + }); + }); + }, + + async readTextFile(path: string): Promise { + try { + return readFileSync(path, "utf-8"); + } catch { + return null; + } + }, +}; + +export function getGitContext(cwd?: string): Promise { + return getGitContextCore(reviewRuntime, cwd); +} + +export function runGitDiff( + diffType: DiffType, + defaultBranch = "main", + cwd?: string, + options?: GitDiffOptions, +): Promise<{ patch: string; label: string; error?: string }> { + return runGitDiffCore(reviewRuntime, diffType, defaultBranch, cwd, options); +} + +export async function startReviewServer(options: { + rawPatch: string; + gitRef: string; + htmlContent: string; + origin?: string; + diffType?: DiffType; + gitContext?: GitContext; + /** + * Initial base branch the caller used to compute `rawPatch`. When a caller + * overrides the detected default (e.g. `openCodeReview({ defaultBranch })`), + * this must be forwarded so the server's internal `currentBase` state, the + * `/api/diff` response, and downstream agent prompts stay consistent with + * the patch that's already on screen. + */ + initialBase?: string; + error?: string; + sharingEnabled?: boolean; + shareBaseUrl?: string; + pasteApiUrl?: string; + prMetadata?: PRMetadata; + /** Working directory for agent processes (e.g., --local worktree). Independent of diff pipeline. */ + agentCwd?: string; + /** Per-PR worktree pool. When set, pr-switch creates worktrees instead of checking out. */ + worktreePool?: WorktreePool; + /** Cleanup callback invoked when server stops (e.g., remove temp worktree) */ + onCleanup?: () => void | Promise; + /** Called when server starts with the URL, remote status, and port */ + onReady?: (url: string, isRemote: boolean, port: number) => void; +}): Promise { + const gitUser = detectGitUser(); + let draftKey = contentHash(options.rawPatch); + let prMeta = options.prMetadata; + const isPRMode = !!prMeta; + const hasLocalAccess = !!options.gitContext; + const isRemote = isRemoteSession(); + const wslFlag = detectWSL(); + let prRef = prMeta ? prRefFromMetadata(prMeta) : null; + const platformUser = prRef ? await getPRUser(prRef) : null; + let prStackInfo = isPRMode ? getPRStackInfo(prMeta) : null; + let prDiffScopeOptions = isPRMode + ? getPRDiffScopeOptions(prMeta, !!(options.worktreePool || options.agentCwd)) + : []; + + let prListCache: import("../generated/pr-provider.js").PRListItem[] | null = null; + let prListCacheTime = 0; + const prSwitchCache = new Map(); + if (isPRMode && prMeta) prSwitchCache.set(prMeta.url, { metadata: prMeta, rawPatch: options.rawPatch }); + const prStackTreeCache = new Map(); + + // Fetch full stack tree (best-effort — always try in PR mode so root PRs + // that target the default branch can still discover descendant PRs) + let prStackTree: import("../generated/pr-provider.js").PRStackTree | null = null; + if (prRef && prMeta) { + try { + prStackTree = await fetchPRStack(prRef, prMeta); + } catch { + // Non-fatal: client falls back to buildMinimalStackTree() + } + prStackTreeCache.set(prMeta.url, prStackTree); + const resolved = resolveStackInfo(prMeta, prStackTree, prStackInfo); + if (resolved && !prStackInfo) { + prStackInfo = resolved; + prDiffScopeOptions = getPRDiffScopeOptions(prMeta, !!(options.worktreePool || options.agentCwd)); + } + } + + // Fetch GitHub viewed file state (non-blocking — errors are silently ignored) + let initialViewedFiles: string[] = []; + if (isPRMode && prRef) { + try { + const viewedMap = await fetchPRViewedFiles(prRef); + initialViewedFiles = Object.entries(viewedMap) + .filter(([, isViewed]) => isViewed) + .map(([path]) => path); + } catch { + // Non-fatal: viewed state is best-effort + } + } + let repoInfo = prMeta + ? { + display: getDisplayRepo(prMeta), + branch: `${getMRLabel(prMeta)} ${getMRNumberLabel(prMeta)}`, + } + : getRepoInfo(); + const editorAnnotations = createEditorAnnotationHandler(); + const externalAnnotations = createExternalAnnotationHandler("review"); + + let currentPatch = options.rawPatch; + let currentGitRef = options.gitRef; + let currentDiffType: DiffType = options.diffType || "uncommitted"; + let currentError = options.error; + let currentHideWhitespace = loadConfig().diffOptions?.hideWhitespace ?? false; + let originalPRPatch = options.rawPatch; + let originalPRGitRef = options.gitRef; + let originalPRError = options.error; + let currentPRDiffScope: PRDiffScope = "layer"; + // Tracks the base branch the user picked from the UI. Agent review prompts + // read this (not gitContext.defaultBranch) so they analyze the same diff + // the reviewer is currently looking at. Honors an explicit initialBase from + // the caller — e.g. programmatic Pi callers can request a non-detected base. + let currentBase = options.initialBase || options.gitContext?.defaultBranch || "main"; + let baseEverSwitched = false; + + // Fire-and-forget: query the remote for its actual default branch. + if (options.gitContext && !options.initialBase && !isPRMode) { + detectRemoteDefaultBranch(reviewRuntime, options.gitContext.cwd).then((remote) => { + if (remote && !baseEverSwitched) currentBase = remote; + }); + } + + // Agent jobs — background process manager (late-binds serverUrl via getter) + let serverUrl = ""; + function resolveAgentCwd(): string { + if (options.worktreePool && prMeta) { + const poolPath = options.worktreePool.resolve(prMeta.url); + if (poolPath) return poolPath; + } + if (options.agentCwd) return options.agentCwd; + if (currentDiffType.startsWith("worktree:")) { + const parsed = parseWorktreeDiffType(currentDiffType); + if (parsed) return parsed.path; + } + return options.gitContext?.cwd ?? process.cwd(); + } + const tour = createTourSession(); + + const agentJobs = createAgentJobHandler({ + mode: "review", + getServerUrl: () => serverUrl, + getCwd: resolveAgentCwd, + + async buildCommand(provider, config) { + const cwd = resolveAgentCwd(); + const hasAgentLocalAccess = !!options.worktreePool || !!options.agentCwd || !!options.gitContext; + const userMessageOptions = { defaultBranch: currentBase, hasLocalAccess: hasAgentLocalAccess, prDiffScope: currentPRDiffScope }; + + // Snapshot the diff context at launch (see review.ts buildCommand + // for the rationale — keeps downstream "Copy All" honest across + // subsequent context switches). + const worktreeParts = currentDiffType.startsWith("worktree:") + ? parseWorktreeDiffType(currentDiffType) + : null; + const launchPrUrl = prMeta?.url; + const launchDiffScope = isPRMode ? currentPRDiffScope : undefined; + const diffContext: AgentJobInfo["diffContext"] | undefined = prMeta + ? undefined + : { + mode: (worktreeParts?.subType ?? currentDiffType) as string, + base: currentBase, + worktreePath: worktreeParts?.path ?? null, + }; + + if (provider === "tour") { + const built = await tour.buildCommand({ + cwd, + patch: currentPatch, + diffType: currentDiffType, + options: userMessageOptions, + prMetadata: prMeta, + config, + }); + return built ? { ...built, prUrl: launchPrUrl, diffScope: launchDiffScope, diffContext } : built; + } + + const userMessage = buildCodexReviewUserMessage(currentPatch, currentDiffType, userMessageOptions, prMeta); + + if (provider === "codex") { + const model = typeof config?.model === "string" && config.model ? config.model : undefined; + const reasoningEffort = typeof config?.reasoningEffort === "string" && config.reasoningEffort ? config.reasoningEffort : undefined; + const fastMode = config?.fastMode === true; + const outputPath = generateOutputPath(); + const prompt = CODEX_REVIEW_SYSTEM_PROMPT + "\n\n---\n\n" + userMessage; + const command = await buildCodexCommand({ cwd, outputPath, prompt, model, reasoningEffort, fastMode }); + return { command, outputPath, prompt, cwd, label: "Code Review", model, reasoningEffort, fastMode: fastMode || undefined, prUrl: launchPrUrl, diffScope: launchDiffScope, diffContext }; + } + + if (provider === "claude") { + const model = typeof config?.model === "string" && config.model ? config.model : undefined; + const effort = typeof config?.effort === "string" && config.effort ? config.effort : undefined; + const prompt = CLAUDE_REVIEW_PROMPT + "\n\n---\n\n" + userMessage; + const { command, stdinPrompt } = buildClaudeCommand(prompt, model, effort); + return { command, stdinPrompt, prompt, cwd, label: "Code Review", captureStdout: true, model, effort, prUrl: launchPrUrl, diffScope: launchDiffScope, diffContext }; + } + + return null; + }, + + async onJobComplete(job, meta) { + const cwd = meta.cwd ?? resolveAgentCwd(); + const jobPrUrl = job.prUrl; + const jobDiffScope = job.diffScope; + const jobPrMeta = jobPrUrl ? prSwitchCache.get(jobPrUrl)?.metadata : undefined; + const jobPrContext = jobPrMeta ? { + prUrl: jobPrUrl, + prNumber: jobPrMeta.platform === "github" ? jobPrMeta.number : jobPrMeta.iid, + prTitle: jobPrMeta.title, + prRepo: getDisplayRepo(jobPrMeta), + } : jobPrUrl ? { prUrl: jobPrUrl } : {}; + + if (job.provider === "codex" && meta.outputPath) { + const output = await parseCodexOutput(meta.outputPath); + if (!output) return; + + const hasBlockingFindings = output.findings.some(f => f.priority !== null && f.priority <= 1); + job.summary = { + correctness: hasBlockingFindings ? "Issues Found" : output.overall_correctness, + explanation: output.overall_explanation, + confidence: output.overall_confidence_score, + }; + + if (output.findings.length > 0) { + const annotations = transformReviewFindings(output.findings, job.source, cwd, "Codex") + .map(a => ({ ...a, ...jobPrContext, ...(jobDiffScope && { diffScope: jobDiffScope }) })); + const result = externalAnnotations.addAnnotations({ annotations }); + if ("error" in result) console.error(`[codex-review] addAnnotations error:`, result.error); + } + return; + } + + if (job.provider === "claude" && meta.stdout) { + const output = parseClaudeStreamOutput(meta.stdout); + if (!output) { + console.error(`[claude-review] Failed to parse output (${meta.stdout.length} bytes, last 200: ${meta.stdout.slice(-200)})`); + return; + } + + const total = output.summary.important + output.summary.nit + output.summary.pre_existing; + job.summary = { + correctness: output.summary.important === 0 ? "Correct" : "Issues Found", + explanation: `${output.summary.important} important, ${output.summary.nit} nit, ${output.summary.pre_existing} pre-existing`, + confidence: total === 0 ? 1.0 : Math.max(0, 1.0 - (output.summary.important * 0.2)), + }; + + if (output.findings.length > 0) { + const annotations = transformClaudeFindings(output.findings, job.source, cwd) + .map(a => ({ ...a, ...jobPrContext, ...(jobDiffScope && { diffScope: jobDiffScope }) })); + const result = externalAnnotations.addAnnotations({ annotations }); + if ("error" in result) console.error(`[claude-review] addAnnotations error:`, result.error); + } + return; + } + + if (job.provider === "tour") { + const { summary } = await tour.onJobComplete({ job, meta }); + if (summary) { + job.summary = summary; + } else { + // The process exited 0 but the model returned empty or malformed output + // and nothing was stored. Flip status so the client doesn't auto-open + // a successful-looking card that 404s on /api/tour/:id. + job.status = "failed"; + job.error = TOUR_EMPTY_OUTPUT_ERROR; + } + return; + } + }, + }); + const sharingEnabled = + options.sharingEnabled ?? process.env.PLANNOTATOR_SHARE !== "disabled"; + const shareBaseUrl = + (options.shareBaseUrl ?? process.env.PLANNOTATOR_SHARE_URL) || undefined; + const pasteApiUrl = + (options.pasteApiUrl ?? process.env.PLANNOTATOR_PASTE_URL) || undefined; + let resolveDecision!: (result: { + approved: boolean; + feedback: string; + annotations: unknown[]; + agentSwitch?: string; + exit?: boolean; + }) => void; + const decisionPromise = new Promise<{ + approved: boolean; + feedback: string; + annotations: unknown[]; + agentSwitch?: string; + exit?: boolean; + }>((r) => { + resolveDecision = r; + }); + + // AI provider setup (graceful — AI features degrade if SDK unavailable) + // Types are `any` because @plannotator/ai is a dynamic import + let aiEndpoints: Record Promise> | null = + null; + let aiSessionManager: { disposeAll: () => void } | null = null; + let aiRegistry: { disposeAll: () => void } | null = null; + try { + const ai = await import("../generated/ai/index.js"); + const registry = new ai.ProviderRegistry(); + const sessionManager = new ai.SessionManager(); + + // which() helper for Node.js + const whichCmd = (cmd: string): string | null => { + try { + return ( + execSync(`which ${cmd}`, { + encoding: "utf-8", + stdio: ["pipe", "pipe", "pipe"], + }).trim() || null + ); + } catch { + return null; + } + }; + + // Claude Agent SDK + try { + // @ts-ignore — dynamic import; Bun-only types resolved at runtime + await import("../generated/ai/providers/claude-agent-sdk.js"); + const claudePath = whichCmd("claude"); + const provider = await ai.createProvider({ + type: "claude-agent-sdk", + cwd: process.cwd(), + ...(claudePath && { claudeExecutablePath: claudePath }), + }); + registry.register(provider); + } catch { + /* Claude SDK not available */ + } + + // Codex SDK + try { + // @ts-ignore — dynamic import; Bun-only types resolved at runtime + await import("../generated/ai/providers/codex-sdk.js"); + await import("@openai/codex-sdk"); + const codexPath = whichCmd("codex"); + const provider = await ai.createProvider({ + type: "codex-sdk", + cwd: process.cwd(), + ...(codexPath && { codexExecutablePath: codexPath }), + }); + registry.register(provider); + } catch { + /* Codex SDK not available */ + } + + // Pi SDK (Node.js variant) + try { + await import("../generated/ai/providers/pi-sdk-node.js"); + const piPath = whichCmd("pi"); + if (piPath) { + const provider = await ai.createProvider({ + type: "pi-sdk", + cwd: process.cwd(), + piExecutablePath: piPath, + } as any); + if (provider && "fetchModels" in provider) { + await ( + provider as { fetchModels: () => Promise } + ).fetchModels(); + } + registry.register(provider); + } + } catch { + /* Pi not available */ + } + + // OpenCode SDK + try { + // @ts-ignore — dynamic import; Bun-only types resolved at runtime + await import("../generated/ai/providers/opencode-sdk.js"); + const opencodePath = whichCmd("opencode"); + if (opencodePath) { + const provider = await ai.createProvider({ + type: "opencode-sdk", + cwd: process.cwd(), + }); + if (provider && "fetchModels" in provider) { + await ( + provider as { fetchModels: () => Promise } + ).fetchModels(); + } + registry.register(provider); + } + } catch { + /* OpenCode not available */ + } + + if (registry.size > 0) { + aiEndpoints = ai.createAIEndpoints({ + registry, + sessionManager, + getCwd: resolveAgentCwd, + }); + aiSessionManager = sessionManager; + aiRegistry = registry; + } + } catch { + /* AI backbone not available */ + } + + const server = createServer(async (req, res) => { + const url = requestUrl(req); + + // API: Get tour result + if (url.pathname.match(/^\/api\/tour\/[^/]+$/) && req.method === "GET") { + const jobId = url.pathname.slice("/api/tour/".length); + const result = tour.getTour(jobId); + if (!result) { + json(res, { error: "Tour not found" }, 404); + return; + } + json(res, result); + return; + } + + // API: Save tour checklist state + const checklistMatch = url.pathname.match(/^\/api\/tour\/([^/]+)\/checklist$/); + if (checklistMatch && req.method === "PUT") { + const jobId = checklistMatch[1]; + try { + const body = await parseBody(req) as { checked: boolean[] }; + if (Array.isArray(body.checked)) tour.saveChecklist(jobId, body.checked); + json(res, { ok: true }); + } catch { + json(res, { error: "Invalid JSON" }, 400); + } + return; + } + + if (url.pathname === "/api/diff" && req.method === "GET") { + json(res, { + rawPatch: currentPatch, + gitRef: currentGitRef, + origin: options.origin ?? "pi", + diffType: hasLocalAccess ? currentDiffType : undefined, + // Echo the active base so page refresh/reconnect rehydrates the + // picker to what the server is actually using, not the detected default. + base: hasLocalAccess ? currentBase : undefined, + hideWhitespace: currentHideWhitespace, + gitContext: hasLocalAccess ? options.gitContext : undefined, + sharingEnabled, + shareBaseUrl, + pasteApiUrl, + repoInfo, + isWSL: wslFlag, + ...(options.agentCwd && { agentCwd: options.agentCwd }), + ...(isPRMode && { + prMetadata: prMeta, + platformUser, + prStackInfo, + prStackTree, + prDiffScope: currentPRDiffScope, + prDiffScopeOptions, + }), + ...(isPRMode && initialViewedFiles.length > 0 && { viewedFiles: initialViewedFiles }), + ...(currentError && { error: currentError }), + serverConfig: getServerConfig(gitUser), + }); + } else if (url.pathname === "/api/diff/switch" && req.method === "POST") { + if (!hasLocalAccess) { + json(res, { error: "Not available without local file access" }, 400); + return; + } + try { + const body = await parseBody(req); + const newType = body.diffType as DiffType; + if (!newType) { + json(res, { error: "Missing diffType" }, 400); + return; + } + if (typeof body.hideWhitespace === "boolean") { + currentHideWhitespace = body.hideWhitespace; + } + const detectedBase = options.gitContext?.defaultBranch || "main"; + const base = resolveBaseBranch( + typeof body.base === "string" ? body.base : undefined, + detectedBase, + ); + const defaultCwd = options.gitContext?.cwd; + const result = await runGitDiff(newType, base, defaultCwd, { + hideWhitespace: currentHideWhitespace, + }); + currentPatch = result.patch; + currentGitRef = result.label; + currentDiffType = newType; + currentBase = base; + baseEverSwitched = true; + currentError = result.error; + + // Recompute gitContext for the effective cwd so the client's + // sidebar reflects the worktree we're now reviewing. + // Best-effort: on failure the client keeps its existing context. + let updatedContext: GitContext | undefined; + if (options.gitContext) { + try { + const worktreeParsed = parseWorktreeDiffType(newType); + const effectiveCwd = worktreeParsed?.path ?? options.gitContext.cwd; + updatedContext = await getGitContextCore(reviewRuntime, effectiveCwd); + } catch { + /* best-effort */ + } + } + + json(res, { + rawPatch: currentPatch, + gitRef: currentGitRef, + diffType: currentDiffType, + // Echo the base the server actually used. resolveBaseBranch + // trusts the caller verbatim; this echo lets the client + // confirm the request landed (and pick it up when the client + // didn't supply one and we fell back to detected default). + base: currentBase, + hideWhitespace: currentHideWhitespace, + ...(updatedContext ? { gitContext: updatedContext } : {}), + ...(currentError ? { error: currentError } : {}), + }); + } catch (err) { + const message = err instanceof Error ? err.message : "Failed to switch diff"; + json(res, { error: message }, 500); + } + } else if (url.pathname === "/api/pr-diff-scope" && req.method === "POST") { + if (!isPRMode || !prMeta) { + json(res, { error: "Not in PR mode" }, 400); + return; + } + try { + const body = await parseBody(req) as { scope?: PRDiffScope }; + if (body.scope !== "layer" && body.scope !== "full-stack") { + json(res, { error: "Invalid PR diff scope" }, 400); + return; + } + + if (body.scope === "layer") { + currentPatch = originalPRPatch; + currentGitRef = originalPRGitRef; + currentError = originalPRError; + currentPRDiffScope = "layer"; + json(res, { + rawPatch: currentPatch, + gitRef: currentGitRef, + prDiffScope: currentPRDiffScope, + ...(currentError ? { error: currentError } : {}), + }); + return; + } + + const fullStackOption = prDiffScopeOptions.find((option) => option.id === "full-stack"); + if (!fullStackOption?.enabled || !(options.worktreePool || options.agentCwd)) { + json(res, { error: "Full stack diff requires a stacked PR and a local checkout" }, 400); + return; + } + + const fullStackCwd = (options.worktreePool && prMeta ? options.worktreePool.resolve(prMeta.url) : undefined) ?? options.agentCwd; + const result = await runPRFullStackDiff(reviewRuntime, prMeta, fullStackCwd); + + if (result.error) { + json(res, { error: result.error }, 400); + return; + } + + currentPatch = result.patch; + currentGitRef = result.label; + currentError = undefined; + currentPRDiffScope = "full-stack"; + json(res, { + rawPatch: currentPatch, + gitRef: currentGitRef, + prDiffScope: currentPRDiffScope, + }); + } catch (err) { + const message = err instanceof Error ? err.message : "Failed to switch PR diff scope"; + json(res, { error: message }, 500); + } + } else if (url.pathname === "/api/pr-switch" && req.method === "POST") { + if (!isPRMode || !prRef) { + return json(res, { error: "Not in PR mode" }, 400); + } + try { + const body = (await parseBody(req)) as { url?: string }; + if (!body?.url) return json(res, { error: "Missing PR URL" }, 400); + const newRef = parsePRUrl(body.url); + if (!newRef) return json(res, { error: "Invalid PR URL" }, 400); + if (!isSameProject(newRef, prRef!)) return json(res, { error: "Cannot switch to a PR in a different repository" }, 400); + + const cached = prSwitchCache.get(body.url); + const pr = cached ?? await fetchPR(newRef); + if (!cached) prSwitchCache.set(body.url, pr); + prMeta = pr.metadata; + prRef = prRefFromMetadata(pr.metadata); + currentPatch = pr.rawPatch; + currentGitRef = `${getMRLabel(pr.metadata)} ${getMRNumberLabel(pr.metadata)}`; + currentError = undefined; + originalPRPatch = pr.rawPatch; + originalPRGitRef = currentGitRef; + originalPRError = undefined; + currentPRDiffScope = "layer"; + draftKey = contentHash(pr.rawPatch); + prListCache = null; + + prStackInfo = getPRStackInfo(pr.metadata); + if (prStackTreeCache.has(body.url)) { + prStackTree = prStackTreeCache.get(body.url) ?? null; + } else { + try { + prStackTree = await fetchPRStack(prRef, pr.metadata); + } catch { prStackTree = null; } + prStackTreeCache.set(body.url, prStackTree); + } + + let hasLocalForNewPR = false; + if (options.worktreePool) { + try { + await options.worktreePool.ensure(reviewRuntime, pr.metadata); + hasLocalForNewPR = true; + } catch {} + } else if (options.agentCwd) { + hasLocalForNewPR = await checkoutPRHead(reviewRuntime, pr.metadata, options.agentCwd); + } + + prStackInfo = resolveStackInfo(pr.metadata, prStackTree, prStackInfo); + + prDiffScopeOptions = prStackInfo + ? getPRDiffScopeOptions(pr.metadata, hasLocalForNewPR) + : []; + + let switchedViewedFiles: string[] = []; + try { + const viewedMap = await fetchPRViewedFiles(prRef); + switchedViewedFiles = Object.entries(viewedMap) + .filter(([, v]) => v).map(([p]) => p); + } catch {} + initialViewedFiles = switchedViewedFiles; + + repoInfo = { + display: getDisplayRepo(pr.metadata), + branch: `${getMRLabel(pr.metadata)} ${getMRNumberLabel(pr.metadata)}`, + }; + + return json(res, { + rawPatch: currentPatch, + gitRef: currentGitRef, + prMetadata: pr.metadata, + prStackInfo, + prStackTree, + prDiffScope: currentPRDiffScope, + prDiffScopeOptions, + repoInfo, + ...(switchedViewedFiles.length > 0 && { viewedFiles: switchedViewedFiles }), + ...(currentError ? { error: currentError } : {}), + }); + } catch (err) { + return json(res, { error: err instanceof Error ? err.message : "Failed to switch PR" }, 500); + } + } else if (url.pathname === "/api/pr-list" && req.method === "GET") { + if (!isPRMode || !prRef) { + return json(res, { error: "Not in PR mode" }, 400); + } + try { + const now = Date.now(); + if (prListCache && now - prListCacheTime < 30_000) { + return json(res, { prs: prListCache }); + } + const prs = await fetchPRList(prRef); + prListCache = prs; + prListCacheTime = now; + return json(res, { prs }); + } catch { + return json(res, { error: "Failed to fetch PR list" }, 500); + } + } else if (url.pathname === "/api/pr-context" && req.method === "GET") { + if (!isPRMode || !prRef) { + json(res, { error: "Not in PR mode" }, 400); + return; + } + try { + const context = await fetchPRContext(prRef); + json(res, context); + } catch (err) { + json( + res, + { + error: + err instanceof Error ? err.message : "Failed to fetch PR context", + }, + 500, + ); + } + } else if (url.pathname === "/api/pr-action" && req.method === "POST") { + if (!isPRMode || !prMeta || !prRef) { + json(res, { error: "Not in PR mode" }, 400); + return; + } + try { + const body = await parseBody(req); + const fileComments = (body.fileComments as PRReviewFileComment[]) || []; + const targetPrUrl = body.targetPrUrl as string | undefined; + + let targetRef = prRef; + let targetHeadSha = prMeta.headSha; + let targetUrl = prMeta.url; + + if (targetPrUrl) { + const cached = prSwitchCache.get(targetPrUrl); + if (!cached) { + json(res, { error: "Target PR not found in session" }, 400); + return; + } + targetRef = prRefFromMetadata(cached.metadata); + targetHeadSha = cached.metadata.headSha; + targetUrl = cached.metadata.url; + } else if (currentPRDiffScope !== "layer") { + json(res, { error: "Switch to Layer diff before posting a platform review" }, 400); + return; + } + + console.error(`[pr-action] ${body.action} with ${fileComments.length} file comment(s), target=${targetUrl}, headSha=${targetHeadSha}`); + await submitPRReview( + targetRef, + targetHeadSha, + body.action as "approve" | "comment", + body.body as string, + fileComments, + ); + console.error(`[pr-action] Success`); + json(res, { ok: true, prUrl: targetUrl }); + } catch (err) { + const message = err instanceof Error ? err.message : "Failed to submit PR review"; + console.error(`[pr-action] Failed: ${message}`); + json(res, { error: message }, 500); + } + } else if (url.pathname === "/api/pr-viewed" && req.method === "POST") { + if (!isPRMode || !prMeta || !prRef) { + json(res, { error: "Not in PR mode" }, 400); + return; + } + if (prMeta.platform !== "github") { + json(res, { error: "Viewed sync only supported for GitHub" }, 400); + return; + } + const prNodeId = prMeta.prNodeId; + if (!prNodeId) { + json(res, { error: "PR node ID not available" }, 400); + return; + } + try { + const body = await parseBody(req); + await markPRFilesViewed( + prRef, + prNodeId, + body.filePaths as string[], + body.viewed as boolean, + ); + json(res, { ok: true }); + } catch (err) { + const message = err instanceof Error ? err.message : "Failed to update viewed state"; + console.error("[plannotator] /api/pr-viewed error:", message); + json(res, { error: message }, 500); + } + } else if (url.pathname === "/api/file-content" && req.method === "GET") { + const filePath = url.searchParams.get("path"); + if (!filePath) { + json(res, { error: "Missing path" }, 400); + return; + } + try { + validateFilePath(filePath); + } catch { + json(res, { error: "Invalid path" }, 400); + return; + } + const oldPath = url.searchParams.get("oldPath") || undefined; + if (oldPath) { + try { + validateFilePath(oldPath); + } catch { + json(res, { error: "Invalid path" }, 400); + return; + } + } + + const fileContentCwd = (options.worktreePool && prMeta) ? options.worktreePool.resolve(prMeta.url) : options.agentCwd; + if ( + isPRMode && + currentPRDiffScope === "full-stack" && + fileContentCwd && + prMeta?.defaultBranch + ) { + const baseRef = await resolvePRFullStackBaseRef( + reviewRuntime, + prMeta.defaultBranch, + fileContentCwd, + ); + if (!baseRef) { + json(res, { oldContent: null, newContent: null }); + return; + } + const result = await getFileContentsForDiffCore( + reviewRuntime, + "merge-base", + baseRef, + filePath, + oldPath, + fileContentCwd, + ); + json(res, result); + return; + } + + // Local mode first (matches Bun server priority) + if (hasLocalAccess && !isPRMode) { + const detectedBase = options.gitContext?.defaultBranch || "main"; + const base = resolveBaseBranch( + url.searchParams.get("base") ?? undefined, + detectedBase, + ); + const defaultCwd = options.gitContext?.cwd; + const result = await getFileContentsForDiffCore( + reviewRuntime, + currentDiffType, + base, + filePath, + oldPath, + defaultCwd, + ); + json(res, result); + return; + } + + // PR mode: fetch from platform API using merge-base/head SHAs + if (isPRMode && prRef && prMeta) { + try { + const oldSha = prMeta.mergeBaseSha ?? prMeta.baseSha; + const [oldContent, newContent] = await Promise.all([ + fetchPRFileContent(prRef, oldSha, oldPath || filePath), + fetchPRFileContent(prRef, prMeta.headSha, filePath), + ]); + json(res, { oldContent, newContent }); + } catch (err) { + json( + res, + { + error: + err instanceof Error + ? err.message + : "Failed to fetch file content", + }, + 500, + ); + } + return; + } + + json(res, { error: "No file access available" }, 400); + } else if (url.pathname === "/api/config" && req.method === "POST") { + try { + const body = (await parseBody(req)) as { displayName?: string; diffOptions?: Record; conventionalComments?: boolean }; + const toSave: Record = {}; + if (body.displayName !== undefined) toSave.displayName = body.displayName; + if (body.diffOptions !== undefined) toSave.diffOptions = body.diffOptions; + if (body.conventionalComments !== undefined) toSave.conventionalComments = body.conventionalComments; + if (Object.keys(toSave).length > 0) saveConfig(toSave as Parameters[0]); + json(res, { ok: true }); + } catch { + json(res, { error: "Invalid request" }, 400); + } + } else if (url.pathname === "/api/image") { + handleImageRequest(res, url); + } else if (url.pathname === "/api/upload" && req.method === "POST") { + await handleUploadRequest(req, res); + } else if (url.pathname === "/api/agents" && req.method === "GET") { + json(res, { agents: [] }); + } else if (url.pathname === "/api/git-add" && req.method === "POST") { + // Staging only available for local diff types that support it (not PR mode, not branch diffs). + // Worktree diff types use composite format "worktree:/path:uncommitted" — extract the base type. + const baseDiffType = currentDiffType.startsWith("worktree:") + ? (parseWorktreeDiffType(currentDiffType)?.subType ?? currentDiffType) + : currentDiffType; + const canStage = baseDiffType === "uncommitted" || baseDiffType === "unstaged"; + if (isPRMode || !canStage) { + json(res, { error: "Staging not available" }, 400); + return; + } + try { + const body = await parseBody(req); + const filePath = body.filePath as string | undefined; + if (!filePath) { + json(res, { error: "Missing filePath" }, 400); + return; + } + let cwd: string | undefined; + if (currentDiffType.startsWith("worktree:")) { + const parsed = parseWorktreeDiffType(currentDiffType); + if (parsed) cwd = parsed.path; + } + if (!cwd) { + cwd = options.gitContext?.cwd; + } + if (body.undo) { + await gitResetFileCore(reviewRuntime, filePath, cwd); + } else { + await gitAddFileCore(reviewRuntime, filePath, cwd); + } + json(res, { ok: true }); + } catch (err) { + const message = + err instanceof Error ? err.message : "Failed to stage file"; + json(res, { error: message }, 500); + } + } else if (url.pathname === "/api/draft") { + await handleDraftRequest(req, res, draftKey); + } else if (url.pathname === "/favicon.svg") { + handleFavicon(res); + } else if (await editorAnnotations.handle(req, res, url)) { + return; + } else if (await externalAnnotations.handle(req, res, url)) { + return; + } else if (await agentJobs.handle(req, res, url)) { + return; + } else if (aiEndpoints && url.pathname.startsWith("/api/ai/")) { + const handler = aiEndpoints[url.pathname]; + if (handler) { + try { + const webReq = toWebRequest(req); + const webRes = await handler(webReq); + // Pipe Web Response → node:http response + const headers: Record = {}; + webRes.headers.forEach((v, k) => { + headers[k] = v; + }); + res.writeHead(webRes.status, headers); + if (webRes.body) { + const nodeStream = Readable.fromWeb(webRes.body as any); + nodeStream.pipe(res); + } else { + res.end(); + } + } catch (err) { + json( + res, + { error: err instanceof Error ? err.message : "AI endpoint error" }, + 500, + ); + } + return; + } + json(res, { error: "Not found" }, 404); + } else if (url.pathname === "/api/exit" && req.method === "POST") { + deleteDraft(draftKey); + resolveDecision({ approved: false, feedback: '', annotations: [], exit: true }); + json(res, { ok: true }); + } else if (url.pathname === "/api/feedback" && req.method === "POST") { + try { + const body = await parseBody(req); + deleteDraft(draftKey); + resolveDecision({ + approved: (body.approved as boolean) ?? false, + feedback: (body.feedback as string) || "", + annotations: (body.annotations as unknown[]) || [], + agentSwitch: body.agentSwitch as string | undefined, + }); + json(res, { ok: true }); + } catch (err) { + const message = err instanceof Error ? err.message : "Failed to process feedback"; + json(res, { error: message }, 500); + } + } else { + html(res, options.htmlContent); + } + }); + + const { port, portSource } = await listenOnPort(server); + serverUrl = `http://localhost:${port}`; + const exitHandler = () => agentJobs.killAll(); + process.once("exit", exitHandler); + + if (options.onReady) { + options.onReady(serverUrl, isRemote, port); + } + + return { + port, + portSource, + url: serverUrl, + isRemote, + waitForDecision: () => decisionPromise, + stop: () => { + process.removeListener("exit", exitHandler); + agentJobs.killAll(); + aiSessionManager?.disposeAll(); + aiRegistry?.disposeAll(); + server.close(); + // Invoke cleanup callback (e.g., remove temp worktree) + if (options.onCleanup) { + try { + const result = options.onCleanup(); + if (result instanceof Promise) result.catch(() => {}); + } catch { /* best effort */ } + } + }, + }; +} diff --git a/extensions/plannotator/skills/plannotator-annotate/SKILL.md b/extensions/plannotator/skills/plannotator-annotate/SKILL.md new file mode 100644 index 0000000..810ff1f --- /dev/null +++ b/extensions/plannotator/skills/plannotator-annotate/SKILL.md @@ -0,0 +1,23 @@ +--- +name: plannotator-annotate +description: Open Plannotator's annotation UI for a markdown file, converted HTML file, URL, or folder and then respond to the returned annotations. +--- + +# Plannotator Annotate + +Use this skill when the user wants to annotate a document in Plannotator instead of reviewing it inline in chat. + +Run: + +```bash +plannotator annotate +``` + +Behavior: + +1. Launch the command with Bash. +2. Wait for the browser review to finish. +3. If annotations are returned, address them directly. +4. If the session closes without feedback, say so briefly and continue. + +Do not ask the user to paste a shell command into the chat. Run the command yourself. diff --git a/extensions/plannotator/skills/plannotator-annotate/agents/openai.yaml b/extensions/plannotator/skills/plannotator-annotate/agents/openai.yaml new file mode 100644 index 0000000..9e039a8 --- /dev/null +++ b/extensions/plannotator/skills/plannotator-annotate/agents/openai.yaml @@ -0,0 +1,5 @@ +interface: + display_name: "Plannotator Annotate" + short_description: "Annotate a markdown file, URL, or folder in Plannotator." +policy: + allow_implicit_invocation: false diff --git a/extensions/plannotator/skills/plannotator-compound/SKILL.md b/extensions/plannotator/skills/plannotator-compound/SKILL.md new file mode 100644 index 0000000..5ac8421 --- /dev/null +++ b/extensions/plannotator/skills/plannotator-compound/SKILL.md @@ -0,0 +1,574 @@ +--- +name: plannotator-compound +disable-model-invocation: true +description: > + Analyze a user's Plannotator plan archive to extract denial patterns, feedback + taxonomy, evolution over time, and actionable prompt improvements — then produce + a polished HTML dashboard report. Falls back to Claude Code ExitPlanMode denial + reasons when Plannotator data is unavailable. +--- + +# Compound Planning Analysis + +You are conducting a comprehensive research analysis of a user's Plannotator plan +archive. The goal: extract patterns from their denied plans, reduce +them into actionable insights, and produce an elegant HTML dashboard report. + +This is a multi-phase process. Each phase must complete fully before the next begins. +Research integrity is paramount — every file must be read, no skipping. + +## Source Selection + +Before starting the analysis, determine which data source is available. + +1. **Plannotator mode (first-class)** — Check `~/.plannotator/plans/`. If it + exists and contains `*-denied.md` files, use this mode. The entire workflow + below is written for Plannotator data. + +2. **Claude Code fallback mode** — If the Plannotator archive is absent or + contains no denied plans, check `~/.claude/projects/`. If present, read + [references/claude-code-fallback.md](references/claude-code-fallback.md) + before continuing. That reference explains how to use the bundled parser at + [scripts/extract_exit_plan_mode_outcomes.py](scripts/extract_exit_plan_mode_outcomes.py) + to extract denial reasons from Claude Code JSONL transcripts. Every phase + below has a short note explaining what changes in fallback mode — the + reference file has the details. + +3. **Neither available** — Ask the user for their Plannotator plans directory or + Claude Code projects directory. Do not guess. + +## Phase 0: Locate Plans & Check for Previous Reports + +Use the mode chosen in Source Selection above. + +**Plannotator mode:** Verify the plans directory contains `*-denied.md` files. If +none exist, fall back to Claude Code mode before stopping. + +**Claude Code fallback mode:** Run the bundled parser per the fallback reference to +build the denial-reason dataset. Create `/tmp/compound-planning/` if needed. + +In either mode, proceed to Previous Report Detection below. + +### Previous Report Detection + +After locating the plans directory, check for existing reports: + +``` +ls ~/.plannotator/plans/compound-planning-report*.html +``` + +Reports follow a versioned naming scheme: +- First report: `compound-planning-report.html` +- Subsequent reports: `compound-planning-report-v2.html`, `compound-planning-report-v3.html`, etc. + +If one or more reports exist, determine the **latest** one (highest version number). +Get its filesystem modification date using `stat` (macOS: `stat -f %Sm -t %Y-%m-%d`, +Linux: `stat -c %y | cut -d' ' -f1`). This is the **cutoff date**. + +Present the user with a choice: + +> "I found a previous report (`compound-planning-report-v{N}.html`) last updated +> on {CUTOFF_DATE}. I can either: +> +> 1. **Incremental** — Only analyze files dated after {CUTOFF_DATE}, saving tokens +> and building on previous findings +> 2. **Full** — Re-analyze the entire archive from scratch +> +> Which would you prefer?" + +Wait for the user's response before proceeding. + +**If incremental:** Filter all subsequent phases to only process files with dates +after the cutoff date. The new report version will note in its header narrative that +it covers the period from {CUTOFF_DATE} to present, and reference the previous +report for earlier findings. The inventory (Phase 1) should still count ALL files +for overall stats, but clearly separate "new since last report" counts. + +**If full:** Proceed normally with all files, but still use the next version number +for the output filename. + +**If no previous report exists:** Proceed normally. The output filename will be +`compound-planning-report.html` (no version suffix for the first report). + +## Phase 1: Inventory + +Count and report the dataset. **Always count ALL files** for overall stats, +regardless of whether this is an incremental or full run: + +``` +- *-approved.md files (count) +- *-denied.md files (count) +- Date range (earliest to latest date found in filenames) +- Total days spanned +- Revision rate: denied / (approved + denied) — this is the "X% of plans + revised before coding" stat used in dashboard section 1 +``` + +**Note:** Ignore `*.annotations.md` files entirely. Denied files already contain +the full plan text plus all reviewer feedback appended after a `---` separator. +Annotation files are redundant subsets of this content — reading both would +double-count feedback. + +**If incremental mode:** After the total counts, separately report the counts for +files dated after the cutoff date only: + +``` +New since {CUTOFF_DATE}: +- *-denied.md files: X (of Y total) +- New date range: {CUTOFF_DATE} to {LATEST_DATE} +- New days spanned: N +``` + +If fewer than 3 new denied files exist since the cutoff, warn the user: +> "Only {N} new denied plans since the last report. The incremental analysis may +> be thin. Would you like to proceed or switch to a full analysis?" + +Also run `wc -l` across all `*-approved.md` files to get average lines per +approved plan. This tells the user whether their plans are staying lightweight +or bloating over time. You do not need to read approved plan contents — just +their line counts. If possible, break this down by time period (e.g., monthly) +to show whether plan size changed. + +Dates appear in filenames in YYYY-MM-DD format, sometimes as a prefix +(2026-01-07-name-approved.md) and sometimes embedded (name-2026-03-15-approved.md). +Extract dates from all filenames. + +Tell the user what you found and that you're beginning the extraction. + +**Claude Code fallback mode:** The Plannotator inventory fields above do not apply. +Follow the inventory instructions in +[references/claude-code-fallback.md](references/claude-code-fallback.md) instead — +report the denial-reason dataset assembled by the parser. + +## Phase 2: Map — Parallel Extraction + +This is the most time-intensive phase. You must read EVERY `*-denied.md` file +**in scope**. Do not skip files. Do not summarize early. + +**In scope** means: all denied files if running a full analysis, or only denied +files dated after the cutoff date if running incrementally. In incremental mode, +only process files whose embedded YYYY-MM-DD date is strictly after the cutoff. + +**Claude Code fallback mode:** The parser output is the clean source dataset. Read +the fallback reference for the extraction prompt and batching strategy specific to +JSON part files. Do not go back to raw `.jsonl` logs unless the parser fails or the +user asks for audit-level verification. + +**Important:** Only read `*-denied.md` files. Do NOT read approved plans, +annotation files, or diff files. Each denied file contains the full plan text +followed by a `---` separator and the reviewer's feedback — everything needed +for analysis is in one file. + +### Batching Strategy + +All extraction agents should use `model: "haiku"` — they're doing straightforward +file reading and structured extraction, not reasoning. Haiku is faster and cheaper +for this work. + +The approach depends on dataset size: + +**Tiny datasets (≤ 10 total files):** Read all files directly in the main agent — +no need for sub-agents. Just read them sequentially and proceed to Phase 3. + +**Small datasets (11-30 files):** Launch 2-3 parallel Haiku agents, splitting +files roughly evenly. + +**Medium datasets (31-80 files):** Launch 4-6 parallel Haiku agents (~10-15 files +each). Split by file type and/or time period. + +**Large datasets (80+ files):** Launch as many parallel Haiku agents as needed to +keep each batch around 10-15 files. Split by the natural time boundaries in the +data (months, quarters, or whatever groupings produce balanced batches). If one +time period dominates (e.g., the most recent month has 3x the files), split that +period into multiple batches. + +Launch all extraction agents in parallel using the Agent tool with +`run_in_background: true` and `model: "haiku"`. + +### Output Files + +Each extraction agent must write its results to a clean output file rather than +relying on the agent task output (which contains interleaved JSONL framework +logs that are difficult to parse). Instruct each agent to write to: + +``` +/tmp/compound-planning/extraction-{batch-name}.md +``` + +Create the `/tmp/compound-planning/` directory before launching agents. The +reduce agent in Phase 3 will read these clean files directly. + +### Extraction Prompt + +Each agent receives this instruction (adapt the time period, file list, and +output path): + +``` +You are extracting structured data from denied plan files for a pattern analysis. + +Directory: [PLANS DIRECTORY] +Files to read: [LIST OF SPECIFIC *-denied.md FILES] +Output: Write your complete results to [OUTPUT FILE PATH] + +Each denied file contains two parts separated by a --- line: +1. The plan text (above the ---) +2. The reviewer's feedback and annotations (below the ---) + +Read EVERY file in your list. For EACH file, extract: +- The plan name/topic (from the plan text above the ---) +- The denial reason or feedback given (from below the --- — capture the actual + words used) +- What was specifically asked to change +- The type of feedback (let the content determine the category — don't force-fit + into predefined types. Common types include things like: scope concerns, + approach disagreements, missing information, process requirements, quality + concerns, UX/design issues, naming disputes, clarification requests, + testing/procedural denials — but the user's actual patterns may differ) +- Any specific phrases or recurring language from the reviewer +- Individual annotations if present (numbered feedback items with quoted text + and reviewer comments) +- The date (extracted from the filename) + +Do NOT skip any files. One entry per file. + +Format each entry as: +**[filename]** +- Date: ... +- Topic: ... +- Denial reason: ... +- Feedback type: ... +- Specific asks: ... +- Notable phrases: ... +- Annotations: [count, with brief summary of each] +--- + +After processing all files, write the complete results to [OUTPUT FILE PATH]. +State the total file count at the end of the file. +``` + +### While Agents Run + +Track completion. As each agent finishes, note the count of files it processed. +Verify the total matches the inventory from Phase 1. If any agent's count is +short, flag it and consider re-launching for the missing files. + +If an agent times out (possible with large batches — a batch of 128 files can +take 8+ minutes), re-launch it for just the unprocessed files. Check the output +file to see how far it got before timing out. + +## Phase 3: Reduce — Pattern Analysis + +Once ALL extraction agents have completed (or all files have been read for tiny +datasets), proceed with the reduction. Reduction agents should use `model: "sonnet"` +— this phase requires real analytical reasoning, not just file reading. + +### Reduction Strategy + +The approach depends on how many extraction files were produced: + +**Standard (≤ 20 extraction files):** Launch a single Sonnet agent to read all +extraction files and produce the full analysis. This covers most datasets. + +**Large (21+ extraction files):** Use a two-stage reduce: + +1. **Stage 1 — Partial reduces:** Split the extraction files into groups of 4-6. + Launch parallel Sonnet agents, each reading one group and producing a partial + analysis with the same sections listed below. Each writes to + `/tmp/compound-planning/partial-reduce-{N}.md`. + +2. **Stage 2 — Final reduce:** A single Sonnet agent reads all partial reduce + files and synthesizes them into the final comprehensive analysis. This agent + merges taxonomies, combines counts, deduplicates patterns, and reconciles any + conflicting categorizations across partials. + +**Claude Code fallback mode:** The reduction phase is the same. The only upstream +difference is that extraction files were derived from normalized denial-reason JSON +instead of Plannotator markdown files. + +### Reduction Prompt + +Give each reduction agent this prompt (adapt file paths for single vs multi-stage): + +``` +You are a data scientist conducting the reduction phase of a map-reduce analysis +across a user's denied plan archive. + +Read ALL extraction files at [FILE PATHS] + +These files contain structured extractions from every denied plan file. Each +extraction includes the plan topic, denial feedback, annotations, and reviewer +language. Your job: aggregate everything, find patterns, cluster into a taxonomy, +and produce a comprehensive analysis. + +Be exhaustive. Use real counts. Quote real phrases from the data. This is +research — no hand-waving, no fabrication. + +Write your complete results to [OUTPUT FILE PATH]. + +Produce the following sections: +[... sections listed below ...] +``` + +The reduction agent's job is to let the data speak. Do not impose a predetermined +framework — discover what's actually there. The analysis must produce: + +### 1. Denial Reason Taxonomy +Categorize every denial into a finite set of types that emerge from the data. Count +occurrences. Show percentages. Include real example quotes for each type. Aim for +8-15 categories — enough to be specific, few enough to be scannable. Let the user's +actual feedback determine what the categories are. + +### 2. Top Feedback Patterns (ranked by frequency) +The 5-10 most recurring patterns. For each: what the reviewer consistently asks for, +3+ example quotes from different files, and whether the pattern changed over time. + +### 3. Recurring Phrases +Exact phrases the reviewer uses repeatedly, with counts and what they signal. These +are the reviewer's vocabulary — their shorthand for what they care about. + +### 4. What the Reviewer Values (implicit preferences) +Derived from patterns — what does this specific person care about most? Quality? +Speed? Narrative? Architecture? Process? Simplicity? Rank by evidence strength. +This section should feel like a personality profile of the reviewer's standards. + +### 5. What Agents Consistently Get Wrong +The flip side — what recurring mistakes trigger denials? What should agents stop +doing for this reviewer? + +### 6. Structural Requests +What plan structure does the reviewer consistently demand? Required sections, +ordering, format preferences, level of detail expected. + +### 7. Evolution Over Time +How feedback patterns changed across the time span. Group by whatever natural time +boundaries exist in the data (weeks for short spans, months for longer ones). Did +expectations mature? Did new patterns emerge? What shifted? If the dataset spans +less than a month, note that evolution analysis is limited but still look for any +progression from early to late files. + +### 8. Actionable Prompt Instructions +The most important output. Based on all patterns: specific numbered instructions +that could be embedded in a planning prompt to prevent the most common denial +reasons. Write these as actual directives an agent could follow. Be specific to +this user's patterns — generic advice like "write good plans" is worthless. Each +instruction should trace back to a real, frequent denial pattern. + +After writing the instructions, calculate what percentage of denials they would +address (count how many denials fall into categories covered by the instructions +vs total denials). Report this percentage — it will be different for every user. + +## Phase 4: Generate the HTML Dashboard + +Build a single, self-contained HTML file as the final deliverable. Save it to +the user's plans directory with a versioned filename: + +- First ever report: `compound-planning-report.html` +- Second report: `compound-planning-report-v2.html` +- Third report: `compound-planning-report-v3.html` +- And so on. + +The version number was determined in Phase 0 based on existing reports found. + +**If this is an incremental report**, the header should indicate the analysis +period (e.g., "March 15 – March 31, 2026") and include a subtitle noting +"Incremental analysis — see v{N-1} for earlier findings." The narrative in +section 1 should frame findings as what's new or changed since the last report, +not as a complete picture. Overall stats in the header (file counts, revision +rate) should still reflect the full archive for context. + +Read the template at `assets/report-template.html` for the **design language +only**. The template contains example data from a previous analysis — ignore all +data values, quotes, and percentages in the template. Use only its visual design: +colors, typography, spacing, component styles, and layout patterns. + +### Design Language (from template) + +- **Palette:** Light mode, warm off-white (#FDFCFB), text in slate scale, amber + for highlights/accents, emerald for positive, rose for negative, indigo for + action elements +- **Typography:** Playfair Display (serif, for narrative headings), Inter (sans, + for body/data), JetBrains Mono (mono, for code/phrases) — Google Fonts CDN +- **Layout:** Single-column, max-width 1024px, generous vertical whitespace (128px + between major sections), editorial/narrative-first aesthetic +- **Tone:** Calm, reflective, authoritative. Like a personal retrospective journal, + not a monitoring dashboard. + +### Page Frame (header + footer) + +Before the 7 sections, the page has: + +- **Header:** Report title on the left (Playfair Display, ~36px), project name + + date range below it in light meta text. On the right: file counts in mono + (e.g., "223 denials · 71 days"). Separated from content by + a bottom border. Generous bottom padding before section 1. + +- **Footer:** After section 7. Top border, centered italic Playfair Display tagline + summarizing the corpus (e.g., "Analysis of X denied plans from the Plannotator + archive."). + +### Dashboard Section Order (7 sections) + +The report follows this exact section order. Each section builds on the previous +one — the flow moves from "what happened" through "why" to "what to do about it": + +1. **The story in the data** — An editorial narrative paragraph (Playfair Display + serif, ~26px) that tells the headline finding in prose. Not bullet points — a + real paragraph that reads like the opening of an article. Alongside it, a KPI + sidebar with 3 key metrics (the top denial percentage, the overall revision + rate, and the number of distinct denial categories found). Use an amber inline + highlight on the most striking number in the narrative. + +2. **Why plans get denied** — The taxonomy as a ranked list. Each row: rank number + (mono), category label, a thin 4px progress bar (top item in amber-500, rest + in slate-300), percentage (mono), and for the top entries, a real italic quote + from the data below the label. Show the top 10 categories or however many the + data supports (minimum 5). + +3. **How expectations evolved** — One card per natural time period. Each card has: + the period name in serif, a theme phrase in colored uppercase (different color + per period to show progression), a description paragraph, and a stat line at + the bottom (e.g., "X denials · Y narrative requests"). If the data spans less + than 3 distinct periods, use 2 cards or even a single card with internal + progression noted. + +4. **What works vs what doesn't** — Two side-by-side cards. Left: green-tinted + (emerald-50/50 bg, emerald-100 border) with traits of plans that succeed for + this reviewer. Right: red-tinted (rose-50/50 bg, rose-100 border) with what + agents keep getting wrong. Both derived from the reduction analysis. Bulleted + with small colored dots. 5-8 items per card. + +5. **The actionable output** — The diagnostic payoff. Opens with a Playfair + Display narrative sentence stating how many prompt instructions were derived + and what estimated percentage of denials they address (use the real calculated + percentage from Phase 3, not a generic number). Then the top 3 most impactful + improvements as numbered items, each with an amber number, bold title, and + one-line description. This section bridges the analysis and the full prompt + that follows. + +6. **Your most-used phrases** — Grid of chips (2-col mobile, 3-col desktop). Each + chip: monospace quoted phrase on the left, frequency count on the right. White + bg, slate-200 border, rounded-12px. Show 9-12 of the most recurring phrases + found. These should be the reviewer's actual words — their verbal fingerprint. + +7. **The corrective prompt** — Dark panel (slate-900 bg, white text, rounded-3xl, + shadow-xl). Opens with a Playfair intro sentence about the instructions. Then + a dark code block (slate-800/80 bg, amber-200 monospace text) containing the + full numbered prompt instructions from Phase 3. Include a copy-to-clipboard + button that works (JS included). Below the code block: a gradient glow card + (indigo-to-purple blurred halo behind a white card) with a closing message + that these instructions are personal — derived from the user's own feedback, + their own language, their own standards. + +### Adaptation Rules + +- If the user has < 3 months of data, reduce the evolution section to fewer cards +- If most denied files lack feedback below the `---` (bare denials with no + annotations), note this in the narrative — the analysis will be thinner +- **Claude Code fallback mode:** Explicitly label the report source as Claude Code + `ExitPlanMode` denial reasons. Do not fabricate Plannotator-only fields such as + annotation counts or approved-plan line counts. See the fallback reference for + KPI substitutes and footer/provenance guidance. +- If fewer than 5 denial categories emerge, combine the taxonomy and patterns + sections into one +- If the dataset is very small (< 20 files), the narrative should acknowledge the + limited sample size and frame findings as preliminary +- The number of prompt instructions will vary per user — could be 8 or 20. Don't + force exactly 17. Let the data determine the count. +- The top 3 actionable items in section 5 must be the 3 that cover the largest + share of denials, not the 3 that sound most impressive + +### Key Rules + +1. Every number must come from the real analysis — no fabricated data +2. Every quote must be a real quote from a real file +3. The taxonomy percentages must be calculated from real counts +4. The prompt instructions must trace back to actual denial patterns +5. The copy button on the prompt block must work (include the JS) + +After generating, open the file in the user's browser. + +## Phase 5: Summary + +Tell the user: +- How many denied files were analyzed +- If incremental: how many were new since the last report +- The top 3 denial patterns found +- The estimated percentage of denials the prompt instructions would address +- The single most impactful prompt improvement +- Where the report was saved (including version number) +- If incremental: remind the user that earlier findings are in the previous report + +**Claude Code fallback mode:** Adapt the summary per the fallback reference — +report human denial reasons analyzed and total `ExitPlanMode` attempts scanned +instead of Plannotator file counts. + +## Phase 6: Improvement Hook + +After presenting the summary, ask the user if they want to enable an **improvement +hook** — this takes the corrective prompt instructions from section 7 of the report +and writes them to a file that Plannotator's `EnterPlanMode` hook can inject into +every future planning session automatically. + +> "Would you like to enable the improvement hook? This will save the corrective +> prompt instructions to a file that gets automatically injected into all future +> planning sessions — so Claude sees your feedback patterns before writing any plan." + +**If yes:** + +The hook file lives at: + +``` +~/.plannotator/hooks/compound/enterplanmode-improve-hook.txt +``` + +Create the `~/.plannotator/hooks/compound/` directory if it doesn't exist. + +The file contents should be the corrective prompt instructions from Phase 3 — +the same numbered list that appears in section 7 of the HTML report. Write them +as plain text, one instruction per line, prefixed with their number. No HTML, no +markdown fences, no preamble — just the instructions themselves. The hook system +will inject this file's contents as-is into the planning context. + +**If the file already exists:** + +Read the existing file and present the user with a choice: + +> "An improvement hook already exists from a previous analysis. I can: +> +> 1. **Replace** — Overwrite with the new instructions (the old ones are gone) +> 2. **Merge** — Combine both, deduplicating overlapping instructions and +> keeping the best version of each +> 3. **Keep existing** — Leave the current hook as-is, skip this step +> +> Which would you prefer?" + +- **Replace:** Overwrite the file with the new instructions. +- **Merge:** Read the existing instructions, compare with the new ones, and + produce a merged set. Remove duplicates (same intent even if worded differently). + When two instructions cover the same pattern, keep the more specific or + actionable version. Re-number the final list sequentially. Write the merged + result to the file. Show the user what changed (added N new, removed N + redundant, kept N existing). +- **Keep existing:** Do nothing, move on. + +**If no:** Skip this phase entirely. + +## Important Notes + +- **Data source priority:** Plannotator is the first-class path. Claude Code log + analysis is the secondary path for users without Plannotator archives. +- **Research integrity:** Every file must be read. The value of this analysis comes + from completeness. Sampling or skipping undermines the findings. +- **Real data only:** Never fabricate quotes, percentages, or patterns. If the data + doesn't show a clear pattern, say so honestly rather than inventing one. +- **Let the data lead:** The taxonomy, patterns, and instructions should emerge from + what's actually in the files. Different users will have completely different + denial patterns. A user building mobile apps will have different feedback than + one building APIs. Don't assume what the patterns will be. +- **Agent parallelization:** For large datasets, maximize parallel agents to reduce + wall-clock time. The bottleneck is the largest batch — split it. +- **Structured extraction format:** Ask extraction agents to return structured text + with consistent delimiters so the reduce agent can parse reliably. +- **The report is the artifact:** The HTML dashboard is what the user keeps. It + should be beautiful, honest, and useful. Every section should feel like it was + written about them specifically, because it was. diff --git a/extensions/plannotator/skills/plannotator-compound/assets/report-template.html b/extensions/plannotator/skills/plannotator-compound/assets/report-template.html new file mode 100644 index 0000000..5953b53 --- /dev/null +++ b/extensions/plannotator/skills/plannotator-compound/assets/report-template.html @@ -0,0 +1,795 @@ + + + + + +Compound Planning — What 370 Files Reveal + + + + + +
+ +
+
+

What 370 Files Reveal About
How You Plan

+
backnotprop/plannotator · Jan 7 – Mar 18, 2026
+
+
+ 202 denials · 168 annotations · 71 days +
+
+ + +
+
1. The story in the data
+
+
+ Across 71 days you denied or revised 202 plans before any code was written. The single most common reason—appearing in 1 out of 4 denials—was the same: the agent jumped to implementation without telling you what it was building, why, or how. Missing narrative. Missing context. Missing the story. Your expectations evolved from “does it work?” in January to “tell me the story and be confident” by March. +
+
+
+
25.7%
+
Denials for missing narrative
+
+
+
50%
+
Plans revised before coding
+
+
+
12
+
Distinct denial categories
+
+
+
+
+ + +
+
2. Why plans get denied
+
+
+ 1 +
+ Missing Narrative / Overview +
+ "This plan is denied without narrative detail and rationales." +
+ 25.7% +
+
+ 2 +
+ Clarification Needed +
+ "What does this Mean???" +
+ 16.8% +
+
+ 3 +
+ Testing / Procedural +
+ "I'm denying so you can create a diff." +
+ 13.9% +
+
+ 4 +
+ Wrong Approach / Over-Engineered +
+ "Why are we doing difficult shit here? I want a hover experience." +
+ 9.4% +
+
+ 5 +
+ Process Requirement +
+ "Make sure you feature branch." +
+ 7.9% +
+
+ 6 +
+ Confidence / Risk Check +
+ "Take a step back, breathe, make sure we're not being irrational." +
+ 7.4% +
+
+ 7 +
+ Content Removal +
+ "I don't want this in the plan." +
+ 6.9% +
+
+ 8 +
+ Implementation Bug Found +
+
+ 5.9% +
+
+ 9 +
+ Design / UX Issue +
+
+ 5.4% +
+
+ 10 +
+ Naming / Terminology +
+ "Why do you keep calling it Simplified????" +
+ 4.0% +
+
+
+ + +
+
3. How your expectations evolved
+
+
+
January
+
"Does it work?"
+
Bug-hunting phase. You were hands-on testing View Logs, iterating on session scoping heuristics. 60% of denials were implementation bugs and verification failures. No mention of “narrative” or “overview” yet.
+
26 denials · 0 narrative requests
+
+
+
February
+
"Follow the process"
+
Process gates emerged: feature branches, Linear tickets, pull main. 40% of denials were procedural (diff testing). UX polish intensified. The first narrative demands appeared: “I want a narrative under each section.”
+
48 denials · 6 narrative requests
+
+
+
March
+
"Tell me the story"
+
Narrative became the #1 gate. You created a “Missing overview” label and applied it systematically. Confidence checks became standard. You began telling agents to “take a step back, breathe, and analyze.”
+
128 denials · 25+ narrative requests
+
+
+
+ + +
+
4. What works vs. what doesn't
+
+
+
✓
+
What approved plans do
+
    +
  • Lead with a narrative overview: what exists, what changes, why
    • +
  • State confidence and identify risks proactively
    • +
  • Reference existing codebase patterns before proposing new code
    • +
  • Use explicit, transparent naming (not euphemisms)
    • +
  • Break large work into phases with evaluation gates
    • +
  • Include example output for user-facing changes
    • +
  • Specify feature branch and ticket creation steps
    • +
+
+
+
✗
+
What agents keep getting wrong
+
    +
  • Jump to implementation steps without narrative context
    • +
  • Over-engineer: Shift+Click when hover works, MCP tool when a README suffices
    • +
  • Introduce new code for things the codebase already solves
    • +
  • Propose work on top of failing lint/type checks
    • +
  • Use vague or euphemistic naming (“Accept” instead of “Git Add”)
    • +
  • Wait to be asked for confidence instead of stating it
    • +
  • Rush to modify instead of reporting what they see
    • +
+
+
+
+ + +
+
5. The actionable output
+
+ The analysis produced 17 specific prompt instructions that, if embedded in a planning prompt, would address ~70% of all denial reasons. The biggest three: +
+
+
+ 1 +
+
Every plan MUST start with a Solution Overview
+
What exists, what changes, why, how. This alone addresses 1 in 4 denials.
+
+
+
+ 2 +
+
End every plan with a Confidence Assessment
+
Don’t wait to be asked. State your confidence, identify risks, flag uncertainties.
+
+
+
+ 3 +
+
Search for existing patterns before proposing new code
+
Explicitly state what you found in the codebase. Prefer reuse over new implementation.
+
+
+
+
+ + +
+
6. Your most-used phrases
+
+
"narrative"50+
+
"I don't want this in the plan"10
+
"feature branch"8+
+
"confidence"8+
+
"Missing overview"14
+
"front-end design skill"16
+
"separation of concerns"6
+
"Take a step back, breathe"6
+
"how does this work"5+
+
"what the fuck"4
+
"create a ticket"4+
+
"reusable"19+
+
+
+ + +
+
+
7. The corrective prompt
+
+ These 17 instructions were extracted directly from your denial patterns. Embedding them in a planning prompt would address approximately 70% of all denial reasons. +
+
+
+ + + planning-instructions.md + + +
+
+ 
# Planning Instructions
+# Derived from 370 files of denial & annotation analysis
+
+1. STRUCTURE: Every plan MUST begin with a "Solution Overview"
+   containing 2-3 paragraphs of narrative prose explaining:
+   - What exists today (current state)
+   - What will change and why
+   - How it will be built (approach summary)
+   Do NOT skip this. Do NOT replace it with bullet points.
+
+2. NARRATIVE: Every major section must include a rationale
+   paragraph — not just what will be done, but WHY this
+   approach was chosen over alternatives.
+
+3. FEATURE BRANCH: Always specify implementation will occur
+   on a feature branch. State the branch name. Never plan
+   to work directly on main.
+
+4. EXISTING PATTERNS: Before proposing any new implementation,
+   search the codebase for existing patterns that solve the
+   same problem. Explicitly state what you found and whether
+   you will reuse it. Prefer reuse over new code.
+
+5. CONFIDENCE STATEMENT: End the plan with a "Confidence
+   Assessment" section. State your confidence level, identify
+   risks or edge cases, and note uncertainties. Do not wait
+   to be asked.
+
+6. PHASING: For plans with more than 3 steps, break them into
+   numbered phases. After each phase, note "Pause for
+   evaluation" so the reviewer can assess before proceeding.
+
+7. ISSUE TRACKING: If the project uses Linear or GitHub Issues,
+   include a step to create relevant tickets BEFORE
+   implementation. Backlog items should be separate tickets.
+
+8. SIMPLICITY: Choose the simplest approach that meets
+   requirements. Do not introduce modifier keys when hover
+   works. Do not build a framework when a README suffices.
+
+9. NAMING: Use explicit, transparent names for user-facing
+   features. Do not euphemize Git operations ("Git Add"
+   not "Accept"). Match existing product naming conventions.
+
+10. CODE QUALITY: State that implementation will follow clean
+    code principles: modular architecture, separation of
+    concerns, no circumventing lint or type checks.
+
+11. CLEAN FOUNDATION: If the codebase has failing lint or type
+    checks, address these BEFORE proposing new features. State
+    the current CI/CD state.
+
+12. PRIVACY: For features involving data storage or sharing,
+    explicitly state privacy guarantees. Require user
+    confirmation before storing data.
+
+13. EXAMPLES: When the plan involves user-facing output or UI,
+    include an example of what it will look like.
+
+14. FOCUSED SCOPE: Do not include sections that are obvious,
+    boilerplate, or previously asked to be removed. Keep the
+    plan focused rather than comprehensive.
+
+15. DESIGN SKILL: For any frontend/UI work, invoke the
+    front-end design skill to validate the approach. Note
+    this invocation explicitly in the plan.
+
+16. VERIFICATION STEP: For refactors or multi-file changes,
+    include a verification step with line-by-line comparison
+    of affected code paths.
+
+17. DELIBERATION: If the plan involves a dramatic shift, state
+    that you have re-evaluated the approach, traced through
+    affected files mentally, and are confident in the plan.
+    Do not rush.
+
+
+ +
+
+
+
+ These instructions are yours — derived from your feedback, your language, your standards. Copy them into your planning prompt and watch the deny rate drop. +
+
+
+
+
+ +
+

Analysis of 202 denied plans and 168 annotation files from the Plannotator archive.

+
+ +
+ + + + diff --git a/extensions/plannotator/skills/plannotator-compound/references/claude-code-fallback.md b/extensions/plannotator/skills/plannotator-compound/references/claude-code-fallback.md new file mode 100644 index 0000000..7551456 --- /dev/null +++ b/extensions/plannotator/skills/plannotator-compound/references/claude-code-fallback.md @@ -0,0 +1,282 @@ +# Claude Code Fallback + +Read this file only when the user does **not** have a usable Plannotator archive. + +This is the secondary path for ordinary Claude Code users whose denial history +exists in `~/.claude/projects/` rather than `~/.plannotator/plans/`. + +The goal is the same as the main skill: + +- extract the user's real denial reasons +- reduce them into a taxonomy and prompt corrections +- produce the same HTML report design and section flow + +## Source of Truth + +Use the bundled parser at: + +- [scripts/extract_exit_plan_mode_outcomes.py](../scripts/extract_exit_plan_mode_outcomes.py) + +Resolve that script path relative to this skill directory before running it. + +This script normalizes `ExitPlanMode` outcomes from Claude Code JSONL transcripts +and emits clean JSON parts containing only human-authored denial reasons by default. + +Do **not** read raw `~/.claude/projects/**/*.jsonl` directly unless: + +- the parser fails +- the user asks for audit-level verification +- you need to inspect one or two suspicious records by hand + +The parser exists specifically to strip transcript noise such as generic native +reject strings and wrapper boilerplate. + +## Run the Parser + +Create the working directory first: + +```bash +mkdir -p /tmp/compound-planning +``` + +Then run the bundled parser. Prefer `python3`; if unavailable, use `python`. + +Use a resolved absolute script path, not a repo-local copy. + +```bash +python3 [RESOLVED SKILL PATH]/scripts/extract_exit_plan_mode_outcomes.py \ + --projects-dir ~/.claude/projects \ + --json-out /tmp/compound-planning/claude-code-human-reasons.json \ + --show-samples 0 +``` + +Expected output: + +- manifest: + `/tmp/compound-planning/claude-code-human-reasons/claude-code-human-reasons.manifest.json` +- part files: + `/tmp/compound-planning/claude-code-human-reasons/claude-code-human-reasons.part-XXXX-of-XXXX.json` + +The script prints how many records were detected and how many JSON part files were emitted. + +## What To Read First + +Read the manifest before reading any part file. + +The manifest gives you: + +- total filtered record count +- total `ExitPlanMode` attempts +- native approval / denial counts +- non-native denial counts +- part file list + +Use the part files only after you understand the overall dataset shape. + +## Inventory In Fallback Mode + +In Claude Code fallback mode, report this dataset instead of the Plannotator file counts: + +- human denial reasons found +- total `ExitPlanMode` attempts scanned +- native approvals +- native denials with extractable inline reason +- native denials without recoverable reason +- non-native denials with recoverable payload +- number of emitted JSON parts +- date range from the records +- total days spanned +- distinct sessions +- distinct project roots / `cwd` values + +Also calculate: + +- average `plan_length_chars` where present +- percentage of all denials that contain a recoverable human reason + +Do **not** fabricate Plannotator-only inventory fields in fallback mode: + +- no `*-approved.md` counts +- no `*.annotations.md` counts +- no `*.diff.md` counts +- no approved-plan line-count analysis + +If the user asks for those specifically, state that Claude Code log fallback mode +does not contain those artifacts. + +### Previous Report Detection In Fallback Mode + +Previous report detection still applies. Check the user's home directory or +`~/.plannotator/plans/` for existing `compound-planning-report*.html` files. If +found, offer the same incremental vs full choice as Plannotator mode. In +incremental mode, filter the parser output by timestamp rather than by filename +date — use the `timestamp` field in each JSON record. + +If no previous report exists, use the first-report naming convention +(`compound-planning-report.html`). Otherwise use the next version number. + +## Extraction In Fallback Mode + +Treat the emitted JSON part files as the clean source dataset. + +### Batching + +- **Small datasets (< 200 records):** read the part files directly without extra agents +- **Medium datasets (200-800 records):** split by part file or time range into 2-4 agents +- **Large datasets (800+ records):** split by part file groups or balanced time ranges + +All extraction agents should use `model: "haiku"` — they're doing straightforward +file reading and structured extraction, not reasoning. + +Each extraction agent should read every record in its assigned part files and write +clean markdown output to: + +```text +/tmp/compound-planning/extraction-{batch-name}.md +``` + +### Extraction Prompt For Claude Code Denial Records + +Use this prompt for each fallback extraction batch (adapt the part files and output path): + +```text +You are extracting structured data from Claude Code ExitPlanMode denial records. + +Files to read: [JSON PART FILES] +Output: Write your complete results to [OUTPUT FILE PATH] + +Read EVERY record in the assigned files. Each record already contains a cleaned +human_reason field. Use that as the primary source text. + +For EACH record, extract: +- Date +- Session ID +- Project / cwd +- Topic (only if inferable from the reason or plan path; otherwise say "Unknown from logs") +- Human denial reason +- What was specifically asked to change +- Feedback type (let the content determine the category) +- Notable phrases +- Reason source (`native_inline_reason`, `non_native_freeform_payload`, or `structured_quote_extraction`) +- Plan path if present +- Plan length in chars if present + +Do NOT skip any records. One entry per record. + +Format each entry as: +**[session_id :: tool_use_id]** +- Date: ... +- Project: ... +- Topic: ... +- Human denial reason: ... +- Feedback type: ... +- Specific asks: ... +- Notable phrases: ... +- Reason source: ... +- Plan path: ... +- Plan length chars: ... +--- + +After processing all records, write the complete results to [OUTPUT FILE PATH]. +State the total record count at the end of the file. +``` + +## Reduction In Fallback Mode + +The reduction step stays conceptually the same: + +- taxonomy +- top patterns +- recurring phrases +- reviewer values +- recurring agent mistakes +- structural requests +- evolution over time +- corrective prompt instructions + +Use `model: "sonnet"` for reduction agents, same as Plannotator mode. The +two-stage reduce (partial reduces for 21+ extraction files) also applies when +there are many part files. + +But interpret the dataset correctly: + +- this is denial-reason evidence from Claude Code logs +- not every denial has a recoverable human reason +- annotations may be absent entirely +- success traits are often inferred from the inverse of repeated denial feedback + +If the evidence for "what works" is weaker than the evidence for "what fails", +say that explicitly. + +## HTML Report Adaptation + +Use the same template and the same section order as the main skill. + +In fallback mode: + +- explicitly state in the header/meta that the source is Claude Code `ExitPlanMode` + denial reasons +- keep the same narrative-first editorial style +- keep the same 7 major sections +- use real denial-reason counts, dates, phrases, and percentages only + +### KPI Sidebar Substitutes + +The Plannotator version uses a revision-rate KPI that may not exist here. + +In fallback mode, prefer this KPI trio: + +1. top denial category percentage +2. total human denial reasons recovered +3. number of distinct denial categories + +If a better third metric emerges from the data, use it, but do not invent one. + +### Footer / Provenance + +The footer tagline should mention that the report was derived from Claude Code +denial reasons rather than Plannotator markdown archives. + +### Important Limitation To State + +If `human_reasons_total < total denials`, mention in the narrative or footer note +that some denials in the transcript did not contain recoverable human-authored +feedback and therefore could not contribute to the pattern analysis. + +### Versioned Report Naming + +Versioned naming (`v2`, `v3`, etc.) applies to fallback mode too. Save reports +to `~/.plannotator/plans/` (create the directory if it doesn't exist) so that +all compound planning reports live in the same location regardless of data source. + +## Summary In Fallback Mode + +At the end, tell the user: + +- how many human denial reasons were analyzed +- how many total `ExitPlanMode` attempts were scanned +- the top 3 denial patterns found +- the estimated percentage of denial reasons the corrective instructions address +- the single most impactful prompt improvement +- where the report was saved (including version number) +- if incremental: note that earlier findings are in the previous report + +## Improvement Hook In Fallback Mode + +The Phase 6 improvement hook applies to fallback mode too. The corrective prompt +instructions derived from Claude Code denial reasons are just as useful for +injection into future planning sessions. Follow the same flow as the main skill. + +## Audit Mode + +Only if the user asks for raw denial records or transcript noise: + +```bash +python3 [RESOLVED SKILL PATH]/scripts/extract_exit_plan_mode_outcomes.py \ + --projects-dir ~/.claude/projects \ + --records-filter denials \ + --json-out /tmp/compound-planning/claude-code-all-denials.json \ + --show-samples 0 +``` + +Do not use this audit-mode output for the normal report unless the user asks for it. diff --git a/extensions/plannotator/skills/plannotator-compound/scripts/extract_exit_plan_mode_outcomes.py b/extensions/plannotator/skills/plannotator-compound/scripts/extract_exit_plan_mode_outcomes.py new file mode 100644 index 0000000..68df55c --- /dev/null +++ b/extensions/plannotator/skills/plannotator-compound/scripts/extract_exit_plan_mode_outcomes.py @@ -0,0 +1,820 @@ +#!/usr/bin/env python3 +"""Extract ExitPlanMode outcomes from Claude Code JSONL session logs. + +This parser keeps three views of the same data: + +1. Strict native Claude Code classification + - native approval: + "User has approved your plan." + - native denial: + "The user doesn't want to proceed with this tool use. The tool use was rejected" + +2. General denial capture + - any matching ExitPlanMode tool_result with is_error=true and non-empty text + is captured as a denial/error payload, even when it is custom hook output + or some other non-native integration. + +3. Human-reason extraction + - native inline reasons are preserved as-is + - freeform non-native error payloads are treated as human reasons + - structured non-native payloads are reduced to quoted feedback where possible + +This means the script does not depend on hook-specific strings to capture custom +denials, but it also does not dump wrapper boilerplate into the human-reason +output. + +The script streams JSONL line-by-line and uses only the Python standard library. +""" + +from __future__ import annotations + +import argparse +import json +import os +import sys +from dataclasses import asdict, dataclass +from pathlib import Path +from typing import Dict, Iterable, Iterator, List, Optional, Tuple + + +APPROVE_PREFIX = "User has approved your plan." +REJECT_PREFIX = ( + "The user doesn't want to proceed with this tool use. " + "The tool use was rejected" +) +REASON_MARKER = "To tell you how to proceed, the user said:\n" +NOTE_MARKER = ( + "\n\nNote: The user's next message may contain a correction or preference." +) + + +@dataclass +class AttemptRecord: + session_id: str + tool_use_id: str + file_path: str + line_number: int + timestamp: Optional[str] + cwd: Optional[str] + plan_file_path: Optional[str] + plan_length_chars: Optional[int] + outcome: str = "pending" + native_reason: Optional[str] = None + native_reason_style: Optional[str] = None + captured_reason: Optional[str] = None + captured_reason_style: Optional[str] = None + captured_reason_source: Optional[str] = None + human_reason: Optional[str] = None + human_reason_style: Optional[str] = None + human_reason_source: Optional[str] = None + result_is_error: Optional[bool] = None + result_file_path: Optional[str] = None + result_line_number: Optional[int] = None + result_timestamp: Optional[str] = None + result_preview: Optional[str] = None + + +def parse_args() -> argparse.Namespace: + parser = argparse.ArgumentParser( + description="Extract ExitPlanMode approvals/denials from Claude Code logs." + ) + parser.add_argument( + "--projects-dir", + default="~/.claude/projects", + help="Root Claude projects directory. Default: %(default)s", + ) + parser.add_argument( + "--include-subagents", + action="store_true", + help="Include /subagents/ JSONL files. Default is to skip them.", + ) + parser.add_argument( + "--records-filter", + choices=("all", "native", "native-denials", "denials", "human-reasons"), + default="human-reasons", + help=( + "Which records to write to JSON/CSV outputs. " + "Default: %(default)s" + ), + ) + parser.add_argument( + "--include-non-native-denials", + action="store_true", + help=( + "Include non-native denial/error payloads in sample output. " + "Default sample output shows only native denials." + ), + ) + parser.add_argument( + "--show-samples", + type=int, + default=5, + help="How many denial samples to print in the text summary.", + ) + parser.add_argument( + "--json-out", + help="Optional path to write a JSON report.", + ) + parser.add_argument( + "--max-output-tokens-per-file", + type=int, + default=50000, + help=( + "Approximate max token budget per JSON file when writing --json-out. " + "Default: %(default)s" + ), + ) + return parser.parse_args() + + +def iter_jsonl_files(root: Path, include_subagents: bool) -> Iterator[Path]: + for dirpath, dirnames, filenames in os.walk(root): + if not include_subagents and "subagents" in dirnames: + dirnames.remove("subagents") + dirnames.sort() + for filename in sorted(filenames): + if filename.endswith(".jsonl"): + yield Path(dirpath) / filename + + +def make_attempt_key(session_id: str, tool_use_id: str) -> str: + return session_id + "::" + tool_use_id + + +def preview(text: str, limit: int = 220) -> str: + compact = " ".join(text.split()) + if len(compact) <= limit: + return compact + return compact[: limit - 3] + "..." + + +def estimate_tokens(text: str) -> int: + # Rough enough for output chunking. We intentionally bias slightly high. + return max(1, (len(text) + 3) // 4) + + +def iter_blocks(message_content: object) -> Iterator[dict]: + if not isinstance(message_content, list): + return + for block in message_content: + if isinstance(block, dict): + yield block + + +def extract_text(content: object) -> str: + if isinstance(content, str): + return content + if not isinstance(content, list): + return "" + + parts: List[str] = [] + for item in content: + if isinstance(item, str): + parts.append(item) + continue + if not isinstance(item, dict): + continue + if isinstance(item.get("text"), str): + parts.append(item["text"]) + elif isinstance(item.get("content"), str): + parts.append(item["content"]) + return "\n".join(part for part in parts if part) + + +def classify_reason_style(reason: Optional[str]) -> Optional[str]: + if not reason: + return None + + stripped = reason.lstrip() + if ( + stripped.startswith("#") + or stripped.startswith("YOUR PLAN WAS NOT APPROVED.") + or "\n## " in reason + or "\n---" in reason + ): + return "structured" + return "freeform" + + +def extract_blockquote_feedback(text: str) -> List[str]: + quotes: List[str] = [] + current: List[str] = [] + + for raw_line in text.splitlines(): + stripped = raw_line.strip() + if stripped.startswith(">"): + current.append(stripped[1:].lstrip()) + continue + + if current: + if not stripped or stripped.startswith("## ") or stripped == "---": + quote = "\n".join(line for line in current if line).strip() + if quote: + quotes.append(quote) + current = [] + continue + + # Preserve wrapped continuation lines that belong to the same quote. + current.append(stripped) + + if current: + quote = "\n".join(line for line in current if line).strip() + if quote: + quotes.append(quote) + + return quotes + + +def extract_human_reason( + native_reason: Optional[str], + captured_reason: Optional[str], + captured_reason_style: Optional[str], +) -> Tuple[Optional[str], Optional[str], Optional[str]]: + if native_reason: + return ( + native_reason, + classify_reason_style(native_reason), + "native_inline_reason", + ) + + if not captured_reason: + return (None, None, None) + + if captured_reason_style == "freeform": + return ( + captured_reason, + classify_reason_style(captured_reason), + "non_native_freeform_payload", + ) + + quote_feedback = extract_blockquote_feedback(captured_reason) + if quote_feedback: + reason = "\n\n".join(quote_feedback) + return ( + reason, + classify_reason_style(reason), + "structured_quote_extraction", + ) + + return (None, None, None) + + +def classify_result( + text: str, + is_error: bool, +) -> Tuple[str, Optional[str], Optional[str], Optional[str], Optional[str]]: + stripped = text.strip() + if not stripped: + if is_error: + return ( + "denied_non_native_no_payload", + None, + None, + None, + None, + ) + return ("pending", None, None, None, None) + + if stripped.startswith(APPROVE_PREFIX): + return ("approved_native", None, None, None, None) + + if stripped.startswith(REJECT_PREFIX): + marker_index = stripped.find(REASON_MARKER) + if marker_index < 0: + return ("denied_native_no_reason", None, None, None, None) + + reason = stripped[marker_index + len(REASON_MARKER) :] + note_index = reason.find(NOTE_MARKER) + if note_index >= 0: + reason = reason[:note_index] + reason = reason.strip() + if reason: + style = classify_reason_style(reason) + return ( + "denied_native_with_reason", + reason, + reason, + "native_inline_reason", + style, + ) + return ("denied_native_no_reason", None, None, None, None) + + if is_error: + style = classify_reason_style(stripped) + return ( + "denied_non_native_with_payload", + None, + stripped, + "non_native_error_payload", + style, + ) + + return ("non_native_other", None, None, None, None) + + +def outcome_rank(outcome: str) -> int: + ranks = { + "pending": 0, + "non_native_other": 1, + "approved_native": 2, + "denied_native_no_reason": 3, + "denied_native_with_reason": 4, + "denied_non_native_no_payload": 5, + "denied_non_native_with_payload": 6, + } + return ranks.get(outcome, 0) + + +def update_attempt_from_result( + attempt: AttemptRecord, + file_path: Path, + line_number: int, + timestamp: Optional[str], + text: str, + is_error: bool, +) -> None: + ( + outcome, + native_reason, + captured_reason, + captured_reason_source, + captured_reason_style, + ) = classify_result(text=text, is_error=is_error) + if outcome_rank(outcome) < outcome_rank(attempt.outcome): + return + + attempt.outcome = outcome + attempt.native_reason = native_reason + attempt.native_reason_style = classify_reason_style(native_reason) + attempt.captured_reason = captured_reason + attempt.captured_reason_source = captured_reason_source + attempt.captured_reason_style = captured_reason_style + ( + attempt.human_reason, + attempt.human_reason_style, + attempt.human_reason_source, + ) = extract_human_reason( + native_reason=native_reason, + captured_reason=captured_reason, + captured_reason_style=captured_reason_style, + ) + attempt.result_is_error = is_error + attempt.result_file_path = str(file_path) + attempt.result_line_number = line_number + attempt.result_timestamp = timestamp + attempt.result_preview = preview(text) + + +def scan_projects( + projects_dir: Path, + include_subagents: bool, +) -> Tuple[Dict[str, int], List[AttemptRecord]]: + stats = { + "files_scanned": 0, + "lines_scanned": 0, + "json_errors": 0, + } + attempts: Dict[str, AttemptRecord] = {} + + for file_path in iter_jsonl_files(projects_dir, include_subagents): + stats["files_scanned"] += 1 + try: + handle = file_path.open("r", encoding="utf-8", errors="replace") + except OSError: + continue + + with handle: + for line_number, raw_line in enumerate(handle, start=1): + if not raw_line.strip(): + continue + stats["lines_scanned"] += 1 + try: + obj = json.loads(raw_line) + except json.JSONDecodeError: + stats["json_errors"] += 1 + continue + + session_id = str(obj.get("sessionId") or str(file_path)) + timestamp = obj.get("timestamp") + cwd = obj.get("cwd") + message = obj.get("message") + if not isinstance(message, dict): + continue + + content = message.get("content") + + for block in iter_blocks(content): + if ( + block.get("type") == "tool_use" + and block.get("name") == "ExitPlanMode" + and isinstance(block.get("id"), str) + ): + tool_use_id = block["id"] + key = make_attempt_key(session_id, tool_use_id) + if key in attempts: + continue + input_data = block.get("input") + plan = None + plan_file_path = None + if isinstance(input_data, dict): + if isinstance(input_data.get("plan"), str): + plan = input_data["plan"] + if isinstance(input_data.get("planFilePath"), str): + plan_file_path = input_data["planFilePath"] + + attempts[key] = AttemptRecord( + session_id=session_id, + tool_use_id=tool_use_id, + file_path=str(file_path), + line_number=line_number, + timestamp=timestamp if isinstance(timestamp, str) else None, + cwd=cwd if isinstance(cwd, str) else None, + plan_file_path=plan_file_path, + plan_length_chars=len(plan) if isinstance(plan, str) else None, + ) + + if message.get("role") != "user": + continue + + for block in iter_blocks(content): + if ( + block.get("type") != "tool_result" + or not isinstance(block.get("tool_use_id"), str) + ): + continue + + key = make_attempt_key(session_id, block["tool_use_id"]) + attempt = attempts.get(key) + if attempt is None: + continue + + text = extract_text(block.get("content")) + update_attempt_from_result( + attempt=attempt, + file_path=file_path, + line_number=line_number, + timestamp=timestamp if isinstance(timestamp, str) else None, + text=text, + is_error=bool(block.get("is_error")), + ) + + return stats, list(attempts.values()) + + +def summarize(attempts: Iterable[AttemptRecord]) -> Dict[str, int]: + summary = { + "total_exit_plan_attempts": 0, + "approved_native": 0, + "denied_native_with_reason": 0, + "denied_native_no_reason": 0, + "denied_native_with_freeform_reason": 0, + "denied_native_with_structured_reason": 0, + "denied_non_native_with_payload": 0, + "denied_non_native_no_payload": 0, + "captured_denial_reasons_total": 0, + "captured_freeform_reasons": 0, + "captured_structured_reasons": 0, + "human_reasons_total": 0, + "human_reasons_native": 0, + "human_reasons_non_native": 0, + "human_reasons_freeform": 0, + "human_reasons_structured": 0, + "non_native_other": 0, + "pending": 0, + } + for attempt in attempts: + summary["total_exit_plan_attempts"] += 1 + summary[attempt.outcome] = summary.get(attempt.outcome, 0) + 1 + if attempt.outcome == "denied_native_with_reason": + if attempt.native_reason_style == "freeform": + summary["denied_native_with_freeform_reason"] += 1 + elif attempt.native_reason_style == "structured": + summary["denied_native_with_structured_reason"] += 1 + if attempt.captured_reason: + summary["captured_denial_reasons_total"] += 1 + if attempt.captured_reason_style == "freeform": + summary["captured_freeform_reasons"] += 1 + elif attempt.captured_reason_style == "structured": + summary["captured_structured_reasons"] += 1 + if attempt.human_reason: + summary["human_reasons_total"] += 1 + if attempt.human_reason_source == "native_inline_reason": + summary["human_reasons_native"] += 1 + else: + summary["human_reasons_non_native"] += 1 + if attempt.human_reason_style == "freeform": + summary["human_reasons_freeform"] += 1 + elif attempt.human_reason_style == "structured": + summary["human_reasons_structured"] += 1 + return summary + + +def filter_records( + attempts: List[AttemptRecord], + records_filter: str, +) -> List[AttemptRecord]: + if records_filter == "all": + return attempts + if records_filter == "native": + return [ + attempt + for attempt in attempts + if attempt.outcome.startswith("approved_native") + or attempt.outcome.startswith("denied_native") + ] + if records_filter == "native-denials": + return [ + attempt + for attempt in attempts + if attempt.outcome.startswith("denied_native") + ] + if records_filter == "human-reasons": + return [attempt for attempt in attempts if attempt.human_reason] + return [ + attempt + for attempt in attempts + if attempt.outcome.startswith("denied_native") + or attempt.outcome.startswith("denied_non_native") + ] + + +def build_json_chunks( + records: List[AttemptRecord], + max_output_tokens_per_file: int, +) -> List[List[AttemptRecord]]: + if not records: + return [[]] + + chunks: List[List[AttemptRecord]] = [] + current_chunk: List[AttemptRecord] = [] + current_tokens = 0 + + for record in records: + record_dict = asdict(record) + record_json = json.dumps(record_dict, ensure_ascii=False) + record_tokens = estimate_tokens(record_json) + + if current_chunk and current_tokens + record_tokens > max_output_tokens_per_file: + chunks.append(current_chunk) + current_chunk = [] + current_tokens = 0 + + current_chunk.append(record) + current_tokens += record_tokens + + if current_chunk: + chunks.append(current_chunk) + + return chunks + + +def print_summary( + projects_dir: Path, + include_subagents: bool, + stats: Dict[str, int], + attempts: List[AttemptRecord], + summary: Dict[str, int], + show_samples: int, + include_non_native_denials: bool, +) -> None: + native_denials = ( + summary["denied_native_with_reason"] + summary["denied_native_no_reason"] + ) + total_denials = ( + native_denials + + summary["denied_non_native_with_payload"] + + summary["denied_non_native_no_payload"] + ) + native_extractable_ratio = ( + (summary["denied_native_with_reason"] / native_denials) * 100.0 + if native_denials + else 0.0 + ) + all_capture_ratio = ( + (summary["captured_denial_reasons_total"] / total_denials) * 100.0 + if total_denials + else 0.0 + ) + + print(f"Projects dir: {projects_dir}") + print(f"Included subagents: {'yes' if include_subagents else 'no'}") + print(f"JSONL files scanned: {stats['files_scanned']}") + print(f"JSON lines scanned: {stats['lines_scanned']}") + print(f"JSON parse errors: {stats['json_errors']}") + print() + print(f"ExitPlanMode attempts: {summary['total_exit_plan_attempts']}") + print(f"Native approvals: {summary['approved_native']}") + print( + "Native denials with extractable reason: " + f"{summary['denied_native_with_reason']}" + ) + print( + "Native denials without reason: " + f"{summary['denied_native_no_reason']}" + ) + print( + "Freeform native reasons: " + f"{summary['denied_native_with_freeform_reason']}" + ) + print( + "Structured native reasons: " + f"{summary['denied_native_with_structured_reason']}" + ) + print( + "Non-native denials with payload: " + f"{summary['denied_non_native_with_payload']}" + ) + print( + "Non-native denials without payload: " + f"{summary['denied_non_native_no_payload']}" + ) + print( + "Captured denial reasons total: " + f"{summary['captured_denial_reasons_total']}" + ) + print( + "Captured freeform reasons: " + f"{summary['captured_freeform_reasons']}" + ) + print( + "Captured structured reasons: " + f"{summary['captured_structured_reasons']}" + ) + print(f"Human reasons total: {summary['human_reasons_total']}") + print(f"Human reasons from native denials: {summary['human_reasons_native']}") + print( + "Human reasons from non-native denials: " + f"{summary['human_reasons_non_native']}" + ) + print( + "Non-native / non-denial outcomes: " + f"{summary['non_native_other']}" + ) + print(f"Pending / unmatched attempts: {summary['pending']}") + print() + print( + "Extractable native denial reasons: " + f"{summary['denied_native_with_reason']}/{native_denials} " + f"({native_extractable_ratio:.1f}%)" + ) + print( + "Captured denial payloads across all denial types: " + f"{summary['captured_denial_reasons_total']}/{total_denials} " + f"({all_capture_ratio:.1f}%)" + ) + print( + "Human reasons across all denial types: " + f"{summary['human_reasons_total']}/{total_denials} " + f"({((summary['human_reasons_total'] / total_denials) * 100.0 if total_denials else 0.0):.1f}%)" + ) + + if include_non_native_denials: + samples = [attempt for attempt in attempts if attempt.human_reason] + else: + samples = [ + attempt + for attempt in attempts + if attempt.outcome == "denied_native_with_reason" and attempt.human_reason + ] + samples = samples[: max(show_samples, 0)] + if not samples: + return + + print() + print( + "Sample denial reasons:" + if include_non_native_denials + else "Sample native denial reasons:" + ) + for attempt in samples: + style = attempt.human_reason_style or "unknown" + source = attempt.human_reason_source or "unknown" + reason = attempt.human_reason or "" + print( + "- " + f"[{attempt.outcome} / {source} / {style}] " + f"{reason!r} " + f"({attempt.file_path}:{attempt.result_line_number})" + ) + + +def write_json_report( + output_path: Path, + projects_dir: Path, + include_subagents: bool, + stats: Dict[str, int], + summary: Dict[str, int], + records: List[AttemptRecord], + max_output_tokens_per_file: int, +) -> List[Path]: + output_path.parent.mkdir(parents=True, exist_ok=True) + + chunks = build_json_chunks(records, max_output_tokens_per_file) + base_name = output_path.stem + output_dir = output_path.with_suffix("") + output_dir.mkdir(parents=True, exist_ok=True) + + written_files: List[Path] = [] + part_summaries = [] + + for index, chunk in enumerate(chunks, start=1): + chunk_records = [asdict(record) for record in chunk] + chunk_payload = { + "projects_dir": str(projects_dir), + "include_subagents": include_subagents, + "stats": stats, + "summary": summary, + "part_index": index, + "part_count": len(chunks), + "record_count": len(chunk_records), + "records": chunk_records, + } + part_name = f"{base_name}.part-{index:04d}-of-{len(chunks):04d}.json" + part_path = output_dir / part_name + part_path.write_text( + json.dumps(chunk_payload, indent=2, ensure_ascii=False), + encoding="utf-8", + ) + written_files.append(part_path) + part_summaries.append( + { + "part_index": index, + "file_name": part_name, + "record_count": len(chunk_records), + } + ) + + manifest_payload = { + "projects_dir": str(projects_dir), + "include_subagents": include_subagents, + "stats": stats, + "summary": summary, + "records_filter_record_count": len(records), + "part_count": len(chunks), + "max_output_tokens_per_file": max_output_tokens_per_file, + "parts": part_summaries, + } + manifest_path = output_dir / f"{base_name}.manifest.json" + manifest_path.write_text( + json.dumps(manifest_payload, indent=2, ensure_ascii=False), + encoding="utf-8", + ) + written_files.insert(0, manifest_path) + + return written_files + + +def main() -> int: + args = parse_args() + projects_dir = Path(args.projects_dir).expanduser() + if not projects_dir.exists(): + print(f"Projects dir does not exist: {projects_dir}", file=sys.stderr) + return 1 + + stats, attempts = scan_projects( + projects_dir=projects_dir, + include_subagents=args.include_subagents, + ) + attempts.sort( + key=lambda attempt: ( + attempt.file_path, + attempt.line_number, + attempt.tool_use_id, + ) + ) + summary = summarize(attempts) + records = filter_records(attempts, args.records_filter) + + print_summary( + projects_dir=projects_dir, + include_subagents=args.include_subagents, + stats=stats, + attempts=attempts, + summary=summary, + show_samples=args.show_samples, + include_non_native_denials=args.include_non_native_denials, + ) + + if args.json_out: + written_files = write_json_report( + output_path=Path(args.json_out).expanduser(), + projects_dir=projects_dir, + include_subagents=args.include_subagents, + stats=stats, + summary=summary, + records=records, + max_output_tokens_per_file=args.max_output_tokens_per_file, + ) + part_count = max(len(written_files) - 1, 0) + print() + print( + "Wrote JSON output: " + f"detected {len(records)} records for filter '{args.records_filter}' " + f"and emitted {part_count} part file(s) plus a manifest." + ) + + return 0 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/extensions/plannotator/skills/plannotator-last/SKILL.md b/extensions/plannotator/skills/plannotator-last/SKILL.md new file mode 100644 index 0000000..b37ed76 --- /dev/null +++ b/extensions/plannotator/skills/plannotator-last/SKILL.md @@ -0,0 +1,23 @@ +--- +name: plannotator-last +description: Open Plannotator on the latest rendered assistant message and use the returned annotations to revise that message or continue. +--- + +# Plannotator Last + +Use this skill when the user wants to annotate the latest assistant response in Plannotator. + +Run: + +```bash +plannotator last +``` + +Behavior: + +1. Launch the command with Bash. +2. Wait for the annotation session to finish. +3. If feedback is returned, incorporate it into the follow-up response. +4. If the session closes without feedback, mention that briefly and continue. + +Run the command yourself rather than telling the user to invoke shell syntax manually. diff --git a/extensions/plannotator/skills/plannotator-last/agents/openai.yaml b/extensions/plannotator/skills/plannotator-last/agents/openai.yaml new file mode 100644 index 0000000..c2f300a --- /dev/null +++ b/extensions/plannotator/skills/plannotator-last/agents/openai.yaml @@ -0,0 +1,5 @@ +interface: + display_name: "Plannotator Last" + short_description: "Annotate the latest assistant message in Plannotator." +policy: + allow_implicit_invocation: false diff --git a/extensions/plannotator/skills/plannotator-review/SKILL.md b/extensions/plannotator/skills/plannotator-review/SKILL.md new file mode 100644 index 0000000..df3c3ae --- /dev/null +++ b/extensions/plannotator/skills/plannotator-review/SKILL.md @@ -0,0 +1,23 @@ +--- +name: plannotator-review +description: Open Plannotator's browser-based code review UI for the current worktree or a pull request URL, then act on the feedback that comes back. +--- + +# Plannotator Review + +Use this skill when the user wants to review current code changes in Plannotator instead of reading a diff inline. + +Run: + +```bash +plannotator review [optional-pr-url] +``` + +Behavior: + +1. Launch the command with Bash. +2. Wait for it to finish. +3. If it returns feedback or annotations, address them in the same conversation. +4. If it returns an approval/LGTM-style message, acknowledge that review passed and continue. + +Do not ask the user to copy shell commands into chat. Run the command yourself. diff --git a/extensions/plannotator/skills/plannotator-review/agents/openai.yaml b/extensions/plannotator/skills/plannotator-review/agents/openai.yaml new file mode 100644 index 0000000..04eb486 --- /dev/null +++ b/extensions/plannotator/skills/plannotator-review/agents/openai.yaml @@ -0,0 +1,5 @@ +interface: + display_name: "Plannotator Review" + short_description: "Open Plannotator code review for local changes or a PR." +policy: + allow_implicit_invocation: false diff --git a/extensions/plannotator/skills/plannotator-setup-goal/SKILL.md b/extensions/plannotator/skills/plannotator-setup-goal/SKILL.md new file mode 100644 index 0000000..3eb0ea1 --- /dev/null +++ b/extensions/plannotator/skills/plannotator-setup-goal/SKILL.md @@ -0,0 +1,89 @@ +--- +name: plannotator-setup-goal +description: Create reviewed Codex goal setup packages for long-running /goal work. Use when the user wants to turn an idea, backlog, project mission, or vague objective into durable goal files under a project goals slug folder, with Plannotator review gates for brief, narrative plan with acceptance criteria, verification, blockers, and the final /goal prompt. +--- + +# Plannotator Setup Goal + +## Overview + +Create a durable goal package in the current project at `goals//` so Codex `/goal` has a clear mission, guardrails, proof of done, and external memory. Use Plannotator as the user review UI: every critical document must be gated with `plannotator annotate --gate` and revised until approved. + +## Workflow + +1. Confirm the working directory is the project root, or use the user-provided project directory. +2. Gather enough context to name the goal, define the intended outcome, identify constraints, find likely project docs, and determine proof of done. +3. Ask focused questions whenever the goal is vague, risky, too broad, missing a finish line, or missing verification. Do not proceed with guessed critical requirements. +4. Create a slug from the goal name and scaffold `goals//` with: + + ```bash + python3 /scripts/scaffold_goal.py --root . --slug --title "" --objective "" + ``` + +5. Draft and refine the critical documents in this order: + - `brief.md` + - `plan.md` + - `verification.md` + - `blockers.md` + - `goal-prompt.md` +6. Gate each critical document with Plannotator before moving on: + + ```bash + plannotator annotate goals// --gate + ``` + +7. If Plannotator returns denial, comments, or markup, treat that as user feedback. Revise the document, then run the same gate again. Continue until approved. +8. After all gates pass, present the final path and the exact `/goal` prompt from `goal-prompt.md`. + +## Document Standards + +`brief.md` must state the mission, context, constraints, non-goals, ask-before rules, and concise done condition. + +`plan.md` is the central reviewed planning artifact. It must read like a clear solution narrative, not just a technical checklist. Include what is being built, why this approach is appropriate, how the solution will work, the main implementation slices, risks, phase boundaries, and acceptance criteria. Every important acceptance item needs observable evidence. For large missions, prefer several sequential goals over one endless goal. + +`verification.md` must list exact verification commands and manual checks. Include expected pass conditions and where evidence should be recorded. + +`blockers.md` must capture open questions, user-decision points, dangerous operations that require approval, and conditions that should pause the goal. + +`goal-prompt.md` must contain the final command the user can paste into Codex. It should reference the goal package files as the durable source of truth, tell Codex to append evidence to `progress.jsonl`, and define when to stop or ask. + +`progress.jsonl` is append-only evidence. Do not gate it. During execution, append concrete progress and proof, not summaries of intent. + +## Plannotator Rules + +Use Plannotator as the review surface, not as a passive preview. The command `plannotator annotate --gate` presents the document to the user and captures approval or denial feedback. + +Do not skip gates for critical documents. Do not mark a document ready because it seems reasonable. The user must approve it through the gate. + +If a document is denied, update the document from the captured feedback and rerun the gate. Keep the loop tight: one document, one review, one revision cycle. + +## Goal Prompt Rules + +Write the final `/goal` prompt as a compact product brief, not a raw todo dump. + +Include: +- outcome +- relevant files +- constraints and non-goals +- plan acceptance criteria and evidence +- verification commands +- ask-before rules +- instruction to use `goals//` as the durable plan and append evidence to `progress.jsonl` + +Avoid: +- open-ended improvement loops +- mixed unrelated missions +- vague words like "improve" without measurable proof +- instructions to keep working forever +- hidden assumptions that are not written into the files + +## Quality Checks + +Before finalizing, verify: +- The goal has one clear finish line. +- The plan explains what, why, and how before listing work slices. +- The plan acceptance criteria can be audited from real artifacts. +- Verification commands are concrete. +- Risky actions have ask-before rules. +- The final `/goal` prompt tells Codex where the goal files live. +- All critical documents have passed Plannotator gates. diff --git a/extensions/plannotator/skills/plannotator-setup-goal/agents/openai.yaml b/extensions/plannotator/skills/plannotator-setup-goal/agents/openai.yaml new file mode 100644 index 0000000..ba90b45 --- /dev/null +++ b/extensions/plannotator/skills/plannotator-setup-goal/agents/openai.yaml @@ -0,0 +1,4 @@ +interface: + display_name: "Plannotator Goal Setup" + short_description: "Build reviewed Codex goal packages" + default_prompt: "Use $plannotator-setup-goal to create a reviewed goal package for this project." diff --git a/extensions/plannotator/skills/plannotator-setup-goal/scripts/scaffold_goal.py b/extensions/plannotator/skills/plannotator-setup-goal/scripts/scaffold_goal.py new file mode 100755 index 0000000..f7fcd0a --- /dev/null +++ b/extensions/plannotator/skills/plannotator-setup-goal/scripts/scaffold_goal.py @@ -0,0 +1,219 @@ +#!/usr/bin/env python3 +"""Scaffold a reviewed Codex goal package under goals//.""" + +from __future__ import annotations + +import argparse +import datetime as dt +import json +import re +import sys +from pathlib import Path + + +def slugify(value: str) -> str: + slug = re.sub(r"[^a-z0-9]+", "-", value.strip().lower()).strip("-") + slug = re.sub(r"-{2,}", "-", slug) + return slug or "goal" + + +def write_file(path: Path, content: str, force: bool) -> None: + if path.exists() and not force: + return + path.write_text(content, encoding="utf-8") + + +def brief(title: str, objective: str) -> str: + return f"""# {title} + +## Outcome + +{objective or "TODO: State the concrete outcome in one or two sentences."} + +## Context + +- TODO: List the project facts, files, docs, user needs, and constraints Codex must know. + +## Constraints + +- TODO: List behavior, APIs, data, UX, performance, compatibility, or process rules that must not regress. + +## Non-Goals + +- TODO: List work that is out of scope for this goal. + +## Ask Before + +- TODO: List decisions, risky operations, external dependencies, product calls, and destructive changes that require user approval. + +## Done Means + +- TODO: Summarize the finish line. Detailed acceptance evidence belongs in `acceptance.md`. +""" + + +def plan(title: str) -> str: + return f"""# Plan: {title} + +## Solution Overview + +TODO: Describe what is being built in plain language. Explain the shape of the solution before diving into tasks. + +## Why This Approach + +TODO: Explain why this direction is appropriate for the project, user goal, constraints, and risk level. + +## How It Will Work + +TODO: Describe the main moving parts, data flow, user flow, files, APIs, or systems involved. Keep this narrative enough that a reviewer can understand the intended solution. + +## Slices + +| Slice | Purpose | Main files or systems | Done when | Risks | +| --- | --- | --- | --- | --- | +| 1 | TODO | TODO | TODO | TODO | +| 2 | TODO | TODO | TODO | TODO | + +## Sequencing + +- TODO: Explain the order of execution and which slices block later slices. + +## Phase Boundaries + +- TODO: State when this goal should end and a new goal should be created instead of stretching this one. + +## Steering Notes + +- TODO: Capture taste calls, product preferences, or review checkpoints the user should steer during execution. + +## Acceptance Criteria + +- [ ] TODO: Requirement with concrete observable evidence. +- [ ] TODO: Requirement with concrete observable evidence. + +## Required Evidence + +| Requirement | Evidence to inspect | Where evidence is recorded | +| --- | --- | --- | +| TODO | TODO | TODO | + +## Completion Audit + +Before marking the goal complete, Codex must map every explicit requirement, file, command, check, and deliverable to real evidence. If any item is missing, incomplete, weakly verified, or uncertain, the goal is not complete. +""" + + +def verification(title: str) -> str: + return f"""# Verification: {title} + +## Commands + +| Command | Purpose | Expected pass condition | Evidence location | +| --- | --- | --- | --- | +| TODO | TODO | TODO | TODO | + +## Manual Checks + +- TODO: Add browser checks, screenshots, release checks, PR checks, or human review steps. + +## Evidence Rules + +- Record verification results in `progress.jsonl`. +- Include command, status, timestamp, and artifact path when available. +- Do not rely on passing tests unless they cover the requirement being claimed. +""" + + +def blockers(title: str) -> str: + return f"""# Blockers: {title} + +## Open Questions + +- TODO: Questions that must be answered before or during execution. + +## Stop And Ask + +- TODO: Conditions that should pause the goal and ask the user. + +## Dangerous Or High-Risk Actions + +- TODO: Destructive changes, migrations, dependency changes, security-sensitive work, billing/auth changes, or external operations requiring approval. + +## Known Blockers + +- TODO: Current blockers, owners, and next action. +""" + + +def goal_prompt(slug: str, title: str, objective: str) -> str: + prompt_objective = objective or f"Complete the reviewed goal package for {title}." + return f"""# Codex Goal Prompt: {title} + +After every critical document in this folder is approved with Plannotator, paste or set this goal: + +```text +/goal {prompt_objective} + +Use `goals/{slug}/` as the durable source of truth: +- Read `brief.md` for the mission, context, constraints, non-goals, and ask-before rules. +- Follow `plan.md` for the solution overview, implementation slices, risks, and acceptance criteria. +- Run the checks in `verification.md` and record evidence. +- Append concrete progress and proof to `progress.jsonl`. +- Pause and ask the user for anything listed in `blockers.md` or any similarly risky unresolved decision. + +Do not mark the goal complete until every acceptance item is backed by real evidence and the required verification has passed or the remaining blocker is explicitly documented for the user. +``` +""" + + +def progress_entry(title: str, objective: str) -> str: + now = dt.datetime.now(dt.timezone.utc).replace(microsecond=0).isoformat() + entry = { + "type": "goal_package_created", + "timestamp": now, + "title": title, + "objective": objective, + "evidence": "Initial scaffold created; critical documents still require Plannotator gate approval.", + } + return json.dumps(entry, ensure_ascii=True) + "\n" + + +def parse_args() -> argparse.Namespace: + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--root", default=".", help="Project root where goals/ should be created.") + parser.add_argument("--slug", help="Goal folder name. Defaults to a slugified title.") + parser.add_argument("--title", required=True, help="Human-readable goal title.") + parser.add_argument("--objective", default="", help="One-sentence goal outcome.") + parser.add_argument("--force", action="store_true", help="Overwrite existing scaffold files.") + return parser.parse_args() + + +def main() -> int: + args = parse_args() + root = Path(args.root).resolve() + slug = slugify(args.slug or args.title) + goal_dir = root / "goals" / slug + goal_dir.mkdir(parents=True, exist_ok=True) + + files = { + "brief.md": brief(args.title, args.objective), + "plan.md": plan(args.title), + "verification.md": verification(args.title), + "blockers.md": blockers(args.title), + "goal-prompt.md": goal_prompt(slug, args.title, args.objective), + } + for name, content in files.items(): + write_file(goal_dir / name, content, args.force) + + progress_path = goal_dir / "progress.jsonl" + if not progress_path.exists() or args.force: + write_file(progress_path, progress_entry(args.title, args.objective), args.force) + + print(goal_dir) + for name in sorted([*files.keys(), "progress.jsonl"]): + print(goal_dir / name) + return 0 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/extensions/plannotator/tool-scope.test.ts b/extensions/plannotator/tool-scope.test.ts new file mode 100644 index 0000000..a93e29a --- /dev/null +++ b/extensions/plannotator/tool-scope.test.ts @@ -0,0 +1,88 @@ +import { describe, expect, test } from "bun:test"; +import { + getToolsForPhase, + isPlanWritePathAllowed, + PLAN_SUBMIT_TOOL, + stripPlanningOnlyTools, +} from "./tool-scope"; + +describe("pi plan tool scoping", () => { + test("planning phase adds the submit tool and discovery helpers", () => { + expect(getToolsForPhase(["read", "bash", "edit", "write"], "planning")).toEqual([ + "read", + "bash", + "edit", + "write", + "grep", + "find", + "ls", + PLAN_SUBMIT_TOOL, + ]); + }); + + test("idle and executing phases strip the planning-only submit tool", () => { + const leakedTools = ["read", "bash", "grep", PLAN_SUBMIT_TOOL, "write"]; + + expect(getToolsForPhase(leakedTools, "idle")).toEqual([ + "read", + "bash", + "grep", + "write", + ]); + expect(getToolsForPhase(leakedTools, "executing")).toEqual([ + "read", + "bash", + "grep", + "write", + ]); + }); + + test("stripping planning-only tools preserves unrelated tools", () => { + expect(stripPlanningOnlyTools([PLAN_SUBMIT_TOOL, "todo", "question", "read"])).toEqual([ + "todo", + "question", + "read", + ]); + }); +}); + +describe("plan write path gate", () => { + const cwd = "/r"; + + test("allows markdown files anywhere inside cwd", () => { + expect(isPlanWritePathAllowed("PLAN.md", cwd)).toBe(true); + expect(isPlanWritePathAllowed("plans/auth.md", cwd)).toBe(true); + expect(isPlanWritePathAllowed("deeply/nested/dir/notes.mdx", cwd)).toBe(true); + }); + + test("rejects non-markdown extensions", () => { + expect(isPlanWritePathAllowed("src/app.ts", cwd)).toBe(false); + expect(isPlanWritePathAllowed("notes.txt", cwd)).toBe(false); + expect(isPlanWritePathAllowed("config.json", cwd)).toBe(false); + }); + + test("rejects files with no extension or bare directories", () => { + expect(isPlanWritePathAllowed("plans", cwd)).toBe(false); + expect(isPlanWritePathAllowed("PLAN", cwd)).toBe(false); + }); + + test("rejects traversal and absolute paths outside cwd", () => { + expect(isPlanWritePathAllowed("../escape.md", cwd)).toBe(false); + expect(isPlanWritePathAllowed("../../etc/passwd.md", cwd)).toBe(false); + expect(isPlanWritePathAllowed("/tmp/leak.md", cwd)).toBe(false); + }); + + test("allows absolute paths that resolve inside cwd", () => { + expect(isPlanWritePathAllowed("/r/plans/foo.md", cwd)).toBe(true); + }); + + test("rejects empty path and the cwd itself", () => { + expect(isPlanWritePathAllowed("", cwd)).toBe(false); + expect(isPlanWritePathAllowed(".", cwd)).toBe(false); + }); + + test("extension check is case-insensitive", () => { + expect(isPlanWritePathAllowed("PLAN.MD", cwd)).toBe(true); + expect(isPlanWritePathAllowed("notes.MdX", cwd)).toBe(true); + }); +}); diff --git a/extensions/plannotator/tool-scope.ts b/extensions/plannotator/tool-scope.ts new file mode 100644 index 0000000..a1a1223 --- /dev/null +++ b/extensions/plannotator/tool-scope.ts @@ -0,0 +1,39 @@ +import { extname, isAbsolute, relative, resolve } from "node:path"; + +export type Phase = "idle" | "planning" | "executing"; + +export const PLAN_SUBMIT_TOOL = "plannotator_submit_plan"; +export const PLANNING_DISCOVERY_TOOLS = ["grep", "find", "ls"] as const; + +const PLANNING_ONLY_TOOLS = new Set([PLAN_SUBMIT_TOOL]); +const ALLOWED_PLAN_EXTENSIONS = new Set([".md", ".mdx"]); + +export function stripPlanningOnlyTools(tools: readonly string[]): string[] { + return tools.filter((tool) => !PLANNING_ONLY_TOOLS.has(tool)); +} + +export function getToolsForPhase( + baseTools: readonly string[], + phase: Phase, +): string[] { + const tools = stripPlanningOnlyTools(baseTools); + if (phase !== "planning") { + return [...new Set(tools)]; + } + + return [ + ...new Set([...tools, ...PLANNING_DISCOVERY_TOOLS, PLAN_SUBMIT_TOOL]), + ]; +} + +// Used by both the planning-phase write gate and plannotator_submit_plan. +// Path must resolve inside cwd (no traversal, no absolute escape) and end +// in a permitted markdown extension. +export function isPlanWritePathAllowed(inputPath: string, cwd: string): boolean { + if (!inputPath) return false; + const targetAbs = resolve(cwd, inputPath); + const rel = relative(resolve(cwd), targetAbs); + if (rel === "" || rel.startsWith("..") || isAbsolute(rel)) return false; + const ext = extname(targetAbs).toLowerCase(); + return ALLOWED_PLAN_EXTENSIONS.has(ext); +} diff --git a/extensions/plannotator/tsconfig.json b/extensions/plannotator/tsconfig.json new file mode 100644 index 0000000..9dfd596 --- /dev/null +++ b/extensions/plannotator/tsconfig.json @@ -0,0 +1,16 @@ +{ + "compilerOptions": { + "target": "ES2022", + "module": "ESNext", + "moduleResolution": "bundler", + "strict": true, + "skipLibCheck": true, + "noEmit": true, + "allowImportingTsExtensions": true, + "isolatedModules": true, + "moduleDetection": "force", + "types": ["node"] + }, + "include": ["*.ts", "server/**/*.ts"], + "exclude": ["**/*.test.ts"] +} diff --git a/extensions/plannotator/vendor.sh b/extensions/plannotator/vendor.sh new file mode 100755 index 0000000..c5f3f8c --- /dev/null +++ b/extensions/plannotator/vendor.sh @@ -0,0 +1,43 @@ +#!/usr/bin/env bash +# Vendor shared modules into generated/ for Pi extension. +# Single source of truth — used by both `npm run build` and CI test workflow. +set -euo pipefail +cd "$(dirname "$0")" + +mkdir -p generated generated/ai/providers + +for f in feedback-templates prompts review-core storage draft project pr-provider pr-stack pr-github pr-gitlab checklist integrations-common repo reference-common favicon code-file resolve-file config external-annotation agent-jobs worktree worktree-pool html-to-markdown url-to-markdown tour annotate-args at-reference; do + src="../../packages/shared/$f.ts" + printf '// @generated — DO NOT EDIT. Source: packages/shared/%s.ts\n' "$f" | cat - "$src" > "generated/$f.ts" +done + +# Vendor review agent modules from packages/server/ — rewrite imports for generated/ layout +for f in codex-review claude-review path-utils; do + src="../../packages/server/$f.ts" + printf '// @generated — DO NOT EDIT. Source: packages/server/%s.ts\n' "$f" | cat - "$src" \ + | sed 's|from "./vcs"|from "./review-core.js"|' \ + | sed 's|from "./pr"|from "./pr-provider.js"|' \ + | sed 's|from "./path-utils"|from "./path-utils.js"|' \ + > "generated/$f.ts" +done + +# tour-review lives in packages/server/tour/ — parent-relative imports and the +# shared tour types package each map to the flat generated/ layout. +for f in tour-review; do + src="../../packages/server/tour/$f.ts" + printf '// @generated — DO NOT EDIT. Source: packages/server/tour/%s.ts\n' "$f" | cat - "$src" \ + | sed 's|from "\.\./vcs"|from "./review-core.js"|' \ + | sed 's|from "\.\./pr"|from "./pr-provider.js"|' \ + | sed 's|from "@plannotator/shared/tour"|from "./tour.js"|' \ + > "generated/$f.ts" +done + +for f in index types provider session-manager endpoints context base-session; do + src="../../packages/ai/$f.ts" + printf '// @generated — DO NOT EDIT. Source: packages/ai/%s.ts\n' "$f" | cat - "$src" > "generated/ai/$f.ts" +done + +for f in claude-agent-sdk codex-sdk opencode-sdk pi-sdk pi-sdk-node pi-events; do + src="../../packages/ai/providers/$f.ts" + printf '// @generated — DO NOT EDIT. Source: packages/ai/providers/%s.ts\n' "$f" | cat - "$src" > "generated/ai/providers/$f.ts" +done