qwenpaw/plugins/apps/qwenpaw-data/docker-compose.yml

# One-shot QwenPaw Data demo stack.
#
# This compose brings up the external infrastructure and context service so the
# qwenpaw-data app can run against a ready Neo4j + PostgreSQL environment without a
# local QwenPaw-Data source workspace.
#
# Quick start:
#   1. cp .env.example .env
#   2. docker compose up -d
#   3. Open QwenPaw (local or container) and enable the qwenpaw-data app.
#
# The optional `qwenpaw` service builds the full QwenPaw image from the repo
# root. If the build is too heavy or fails (e.g. ACR base images unavailable),
# disable it and run QwenPaw locally instead:
#   docker compose up -d neo4j postgres context seed
#   qwenpaw app
#
# The `seed` service waits for Postgres and the context service to be healthy,
# then injects the GAAP demo data, imports the semantic workbook, and triggers
# a weave task.

services:
  neo4j:
    image: neo4j:5-community
    container_name: qwenpaw-data-neo4j
    restart: unless-stopped
    environment:
      NEO4J_AUTH: ${NEO4J_USER:-neo4j}/${NEO4J_PASSWORD:-qwenpaw-data-demo}
      NEO4J_PLUGINS: '["apoc"]'
      NEO4J_dbms_security_procedures_unrestricted: "apoc.*"
    ports:
      - "127.0.0.1:${NEO4J_HTTP_PORT:-7474}:7474"
      - "127.0.0.1:${NEO4J_BOLT_PORT:-7687}:7687"
    volumes:
      - neo4j-data:/data
    healthcheck:
      test: ["CMD-SHELL", "wget -qO- http://localhost:7474 || exit 1"]
      interval: 10s
      timeout: 5s
      retries: 10
      start_period: 30s

  postgres:
    image: postgres:16
    container_name: qwenpaw-data-postgres
    restart: unless-stopped
    environment:
      POSTGRES_USER: ${POSTGRES_USER:-qwenpaw_data}
      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-qwenpaw-data-demo}
      POSTGRES_DB: ${POSTGRES_DB:-qwenpaw_data_demo}
    ports:
      - "127.0.0.1:${POSTGRES_PORT:-55432}:5432"
    volumes:
      - postgres-data:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER:-qwenpaw_data} -d ${POSTGRES_DB:-qwenpaw_data_demo}"]
      interval: 5s
      timeout: 3s
      retries: 10
      start_period: 10s

  context:
    build:
      context: ./docker/context
    container_name: qwenpaw-data-context
    restart: unless-stopped
    environment:
      QWENPAW_DATA_API_TOKEN: ${QWENPAW_DATA_CONTEXT_TOKEN:-qwenpaw-data-demo-token}
      QWENPAW_DATA_CM_NEO4J_URI: bolt://neo4j:7687
      QWENPAW_DATA_CM_NEO4J_USER: ${NEO4J_USER:-neo4j}
      QWENPAW_DATA_CM_NEO4J_PASSWORD: ${NEO4J_PASSWORD:-qwenpaw-data-demo}
    ports:
      - "127.0.0.1:${CONTEXT_PORT:-8765}:8765"
    depends_on:
      neo4j:
        condition: service_healthy
    healthcheck:
      test: ["CMD-SHELL", "python -c \"import urllib.request; urllib.request.urlopen('http://localhost:8765/api/health', timeout=5)\""]
      interval: 5s
      timeout: 3s
      retries: 10
      start_period: 10s
    command: >
      sh -c "uvicorn context_manager.api.server:app --host 0.0.0.0 --port 8765"

  seed:
    build:
      context: ./docker/seed
    container_name: qwenpaw-data-seed
    environment:
      POSTGRES_DSN: postgresql://${POSTGRES_USER:-qwenpaw_data}:${POSTGRES_PASSWORD:-qwenpaw-data-demo}@postgres:5432/${POSTGRES_DB:-qwenpaw_data_demo}
      CONTEXT_URL: http://context:8765
      CONTEXT_TOKEN: ${QWENPAW_DATA_CONTEXT_TOKEN:-qwenpaw-data-demo-token}
      QWENPAW_DATA_DEMO_POSTGRES_PORT: "5432"
    depends_on:
      postgres:
        condition: service_healthy
      context:
        condition: service_healthy
    command: >
      sh -c "python /seed.py"

  qwenpaw:
    build:
      context: ../../..
      dockerfile: deploy/Dockerfile
    container_name: qwenpaw-data-qwenpaw
    environment:
      QWENPAW_PORT: "${QWENPAW_PORT:-8088}"
      QWENPAW_DATA_CONTEXT_MODE: external
      QWENPAW_DATA_CONTEXT_URL: http://context:8765
      QWENPAW_DATA_CONTEXT_TOKEN: ${QWENPAW_DATA_CONTEXT_TOKEN:-qwenpaw-data-demo-token}
    ports:
      - "127.0.0.1:${QWENPAW_PORT:-8088}:8088"
    depends_on:
      context:
        condition: service_healthy
      seed:
        condition: service_completed_successfully

volumes:
  neo4j-data:
  postgres-data: