Restructure: Move services from root to unified repo

Moved updated services from /home/sam/development/ root into aboutme_chat_demo/:
- knowledge_service/ (with ChromaDB, gitea_scraper, FastAPI)
- langgraph_service/ (with LangGraph agent orchestration)
- airflow/ (with DAGs for scheduled ingestion)

All services now in single repo location.
Modular docker-compose files per service maintained.
Removed duplicate nested directories.
Updated files reflect latest working versions.

airflow/dags/gitea_ingestion_dag.py

@@ -5,10 +5,8 @@ Runs daily to fetch new/updated repos and ingest into ChromaDB.
 from datetime import datetime, timedelta
 from airflow import DAG
 from airflow.operators.python import PythonOperator
-from airflow.providers.http.operators.http import SimpleHttpOperator
 import os
 import sys
-import json
 
 # Add knowledge_service to path for imports
 sys.path.insert(0, '/opt/airflow/dags/repo')
@@ -115,30 +113,26 @@ with DAG(
     'gitea_daily_ingestion',
     default_args=default_args,
     description='Daily ingestion of Gitea repositories into knowledge base',
-    schedule_interval=timedelta(days=1),  # Run daily
+    schedule_interval=timedelta(days=1),
     start_date=datetime(2024, 1, 1),
     catchup=False,
     tags=['gitea', 'ingestion', 'knowledge'],
 ) as dag:
     
-    # Task 1: Fetch repository list
     fetch_repos_task = PythonOperator(
         task_id='fetch_repos',
         python_callable=fetch_gitea_repos,
     )
     
-    # Task 2: Fetch README content
     fetch_readmes_task = PythonOperator(
         task_id='fetch_readmes',
         python_callable=fetch_readmes,
     )
     
-    # Task 3: Ingest into ChromaDB
     ingest_task = PythonOperator(
         task_id='ingest_to_chroma',
         python_callable=ingest_to_chroma,
     )
     
-    # Define task dependencies
     fetch_repos_task >> fetch_readmes_task >> ingest_task
 

airflow/docker-compose.yml

@@ -14,12 +14,12 @@ x-airflow-common:
     AIRFLOW__CORE__LOAD_EXAMPLES: 'false'
     AIRFLOW__API__AUTH_BACKENDS: 'airflow.api.auth.backend.basic_auth,airflow.api.auth.backend.session'
     AIRFLOW__SCHEDULER__ENABLE_HEALTH_CHECK: 'true'
-    _PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:-}
   volumes:
     - ${AIRFLOW_PROJ_DIR:-.}/dags:/opt/airflow/dags
     - ${AIRFLOW_PROJ_DIR:-.}/logs:/opt/airflow/logs
     - ${AIRFLOW_PROJ_DIR:-.}/config:/opt/airflow/config
     - ${AIRFLOW_PROJ_DIR:-.}/plugins:/opt/airflow/plugins
+    - /home/sam/development/knowledge_service:/opt/airflow/dags/repo:ro
   user: "${AIRFLOW_UID:-50000}:0"
   depends_on:
     &airflow-common-depends-on
@@ -115,23 +115,6 @@ services:
     networks:
       - ai-mesh
 
-  airflow-triggerer:
-    <<: *airflow-common
-    command: triggerer
-    healthcheck:
-      test: ["CMD-SHELL", 'airflow jobs check --job-type TriggererJob --hostname "$${HOSTNAME}"']
-      interval: 30s
-      timeout: 10s
-      retries: 5
-      start_period: 30s
-    restart: always
-    depends_on:
-      <<: *airflow-common-depends-on
-      airflow-init:
-        condition: service_completed_successfully
-    networks:
-      - ai-mesh
-
   airflow-init:
     <<: *airflow-common
     entrypoint: /bin/bash
@@ -158,20 +141,6 @@ services:
     networks:
       - ai-mesh
 
-  airflow-cli:
-    <<: *airflow-common
-    profiles:
-      - debug
-    environment:
-      <<: *airflow-common-env
-      CONNECTION_CHECK_MAX_COUNT: "0"
-    command:
-      - bash
-      - -c
-      - airflow
-    networks:
-      - ai-mesh
-
 volumes:
   postgres-db-volume: