Add Apprise notifications to quality-scan (self-hosted apprise server); dashboard ready

apprise_helper.py

@@ -0,0 +1,42 @@
+"""photo-pipeline: Apprise notification helper.
+
+Posts to the self-hosted Apprise API server (fans out to all configured targets).
+Usage: notify("Batch 3 done: 212 photos, 79 near-dups, 3 candidates")
+
+The Apprise server holds the target config; we just POST title/body.
+"""
+
+import os
+import subprocess
+
+APPRISE_URL = os.environ.get("APPRISE_URL", "https://apprise.lab.audasmedia.com.au/notify")
+
+
+def notify(title: str, body: str, tag: str = None) -> bool:
+    """Send a notification via the Apprise API server. Returns success."""
+    import json
+
+    payload = {"title": title, "body": body}
+    if tag:
+        payload["tag"] = tag
+
+    r = subprocess.run(
+        ["curl", "-s", "-o", "/dev/null", "-w", "%{http_code}",
+         "-X", "POST", APPRISE_URL,
+         "-H", "Content-Type: application/json",
+         "-d", json.dumps(payload)],
+        capture_output=True, text=True, timeout=30,
+    )
+    ok = r.stdout.strip() in ("204", "200")
+    print(f"[apprise] {title}: HTTP {r.stdout.strip()}")
+    return ok
+
+
+if __name__ == "__main__":
+    # CLI test: python apprise.py "title" "body"
+    import sys
+
+    t = sys.argv[1] if len(sys.argv) > 1 else "photo-pipeline test"
+    b = sys.argv[2] if len(sys.argv) > 2 else "Notification test from photo-pipeline"
+    ok = notify(t, b)
+    print("sent" if ok else "FAILED")

prefect.yaml

@@ -72,3 +72,18 @@ deployments:
     name: photo-pool
     work_queue_name: null
     job_variables: {}
+
+- name: import
+  version: null
+  tags: [photo-pipeline]
+  description: "Import staged photos into Immich via server-bundled CLI (checksum dedup)"
+  schedule: null
+  flow_name: null
+  entrypoint: immich_import.py:immich_import
+  parameters:
+    src_dir: /mnt/data/01_keep
+    dry_run: true
+  work_pool:
+    name: photo-pool
+    work_queue_name: null
+    job_variables: {}

quality_scan.py

@@ -87,13 +87,15 @@ def _move(p: Path, dest_root: Path, src_root: Path):
 
 
 @flow(name="photo-quality-scan")
-def quality_scan(base_dir: str, move: bool = False):
+def quality_scan(base_dir: str, move: bool = False, notify: bool = True):
     """Audit image quality with CleanVision; classify into keep/review/delete."""
     audit = audit_folder(base_dir)
     print(f"Issue summary: {audit['summary']}")
     result = classify_and_sort(base_dir, audit["per_image"], move=move)
     print(f"Verdicts: {result['counts']}")
     return {"audit": audit["summary"], **result}
+    if notify:
+        notify_result(result["counts"], audit["summary"], base_dir)
 
 
 if __name__ == "__main__":
@@ -101,3 +103,23 @@ if __name__ == "__main__":
     d = sys.argv[1] if len(sys.argv) > 1 else "/tmp/cvtest"
     move = "--move" in sys.argv
     quality_scan(d, move=move)
+
+
+@task
+def notify_result(counts: dict, summary: list, base_dir: str):
+    """Send batch summary via Apprise."""
+    import apprise_helper
+
+    hard = counts.get("delete_candidate", 0)
+    soft = counts.get("review", 0)
+    keep = counts.get("keep", 0)
+    flagged = [s for s in summary if s["num_images"] > 0]
+    lines = "; ".join(f"{s[issue_type]}: {s[num_images]}" for s in flagged) or "none"
+    body = (
+        f"Scanned: {base_dir}\n"
+        f"Keep: {keep} | Review: {soft} | Delete-candidates: {hard}\n"
+        f"Issues: {lines}\n"
+        f"Review: http://192.168.20.13:8092/review"
+    )
+    apprise_helper.notify("📸 photo-pipeline batch complete", body)
+    return True