x-customizable-image:
  # Custom Academy LMS image with all required apps
  &customizable_image
  image: ${CUSTOM_IMAGE:-ghcr.io/exarlabs/ignis-academy-lms}:${CUSTOM_TAG:-latest}
  pull_policy: ${PULL_POLICY:-always}
  restart: ${RESTART_POLICY:-unless-stopped}

x-depends-on-configurator: &depends_on_configurator
  depends_on:
    configurator:
      condition: service_completed_successfully

x-backend-defaults: &backend_defaults
  <<: [ *depends_on_configurator, *customizable_image ]
  volumes:
    - sites:/home/frappe/frappe-bench/sites
  networks:
    - frappe-network
    - langchain-network

services:
  # MariaDB database (from academy-lms)
  mariadb:
    image: mariadb:10.8
    command:
      - --character-set-server=utf8mb4
      - --collation-server=utf8mb4_unicode_ci
      - --skip-character-set-client-handshake
      - --skip-innodb-read-only-compressed
    environment:
      MARIADB_ROOT_PASSWORD: ${MARIADB_ROOT_PASSWORD}
    volumes:
      - mariadb-data:/var/lib/mysql
      - ./backups:/backups
    networks:
      - frappe-network
    restart: unless-stopped

  # Redis (shared between frappe and langchain)
  redis:
    image: redis:alpine
    networks:
      - frappe-network
      - langchain-network
    restart: unless-stopped

  # PostgreSQL for LangChain service
  postgres:
    image: postgres:15
    environment:
      POSTGRES_DB: ${LANGCHAIN_DB_NAME:-langchain_db}
      POSTGRES_USER: ${LANGCHAIN_DB_USER:-langchain_user}
      POSTGRES_PASSWORD: ${LANGCHAIN_DB_PASSWORD:-langchain_pass}
    volumes:
      - postgres-data:/var/lib/postgresql/data
    networks:
      - langchain-network
    restart: unless-stopped
    healthcheck:
      test: [ "CMD-SHELL", "pg_isready -U ${LANGCHAIN_DB_USER:-langchain_user}" ]
      interval: 10s
      timeout: 5s
      retries: 5

  # Initialize LangChain database tables
  langchain-db-init:
    image: ${LANGCHAIN_IMAGE:-ghcr.io/exarlabs/academy-langchain}:${LANGCHAIN_TAG:-latest}
    environment:
      - DATABASE_URL=postgresql://${LANGCHAIN_DB_USER:-langchain_user}:${LANGCHAIN_DB_PASSWORD:-langchain_pass}@postgres:5432/${LANGCHAIN_DB_NAME:-langchain_db}
    networks:
      - langchain-network
    depends_on:
      postgres:
        condition: service_healthy
    restart: on-failure
    command: sh -c "cd /app && PYTHONPATH=/app python app/create_tables.py"

  # LangChain service for AI functionality
  langchain-service:
    image: ${LANGCHAIN_IMAGE:-ghcr.io/exarlabs/academy-langchain}:${LANGCHAIN_TAG:-latest}
    environment:
      - OPENAI_API_KEY=${OPENAI_API_KEY}
      - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}

      - DATABASE_URL=postgresql://${LANGCHAIN_DB_USER:-langchain_user}:${LANGCHAIN_DB_PASSWORD:-langchain_pass}@postgres:5432/${LANGCHAIN_DB_NAME:-langchain_db}
      - REDIS_URL=redis://redis:6379
      - ENV=${LANGCHAIN_ENV:-development}
      - DEBUG=${LANGCHAIN_DEBUG:-true}
    networks:
      - langchain-network
    depends_on:
      postgres:
        condition: service_healthy
      redis:
        condition: service_started
      langchain-db-init:
        condition: service_completed_successfully
    restart: unless-stopped
    ports:
      - "8001:8000" # Expose on different port to avoid conflict
    healthcheck:
      test: [ "CMD", "curl", "-f", "http://localhost:8000/health" ]
      interval: 30s
      timeout: 10s
      retries: 5
      start_period: 40s

  configurator:
    <<: *backend_defaults
    platform: linux/amd64
    entrypoint:
      - bash
      - -c
    command:
      - >
        ls -1 apps > sites/apps.txt; bench set-config -g db_host mariadb; bench set-config -gp db_port 3306; bench set-config -g redis_cache "redis://redis:6379"; bench set-config -g redis_queue "redis://redis:6379"; bench set-config -g redis_socketio "redis://redis:6379"; bench set-config -gp socketio_port 9000; bench set-config -g ai_tutor_api_url "${AI_TUTOR_API_URL}";
    environment:
      DB_HOST: mariadb
      DB_PORT: 3306
      REDIS_CACHE: redis:6379
      REDIS_QUEUE: redis:6379
      SOCKETIO_PORT: 9000
      AI_TUTOR_API_URL: ${AI_TUTOR_API_URL:-http://langchain-service:8000}
    depends_on:
      - mariadb
      - redis
    restart: on-failure

  backend:
    <<: *backend_defaults
    platform: linux/amd64
    environment:
      - LANGCHAIN_SERVICE_URL=http://langchain-service:8000
      - AI_TUTOR_API_URL=${AI_TUTOR_API_URL:-http://langchain-service:8000}
    depends_on:
      - mariadb
      - redis
      - langchain-service

  frontend:
    <<: *customizable_image
    platform: linux/amd64
    command:
      - nginx-entrypoint.sh
    ports:
      - "80:8080"
      - "443:443"
    environment:
      BACKEND: backend:8000
      SOCKETIO: websocket:9000
      FRAPPE_SITE_NAME_HEADER: ${FRAPPE_SITE_NAME_HEADER:-$$host}
      UPSTREAM_REAL_IP_ADDRESS: ${UPSTREAM_REAL_IP_ADDRESS:-127.0.0.1}
      UPSTREAM_REAL_IP_HEADER: ${UPSTREAM_REAL_IP_HEADER:-X-Forwarded-For}
      UPSTREAM_REAL_IP_RECURSIVE: ${UPSTREAM_REAL_IP_RECURSIVE:-off}
      PROXY_READ_TIMEOUT: ${PROXY_READ_TIMEOUT:-120}
      CLIENT_MAX_BODY_SIZE: ${CLIENT_MAX_BODY_SIZE:-50m}
    volumes:
      - sites:/home/frappe/frappe-bench/sites
    networks:
      - frappe-network
    depends_on:
      - backend
      - websocket
    restart: unless-stopped

  websocket:
    <<: [ *depends_on_configurator, *customizable_image ]
    platform: linux/amd64
    command:
      - node
      - /home/frappe/frappe-bench/apps/frappe/socketio.js
    volumes:
      - sites:/home/frappe/frappe-bench/sites
    networks:
      - frappe-network

  queue-short:
    <<: *backend_defaults
    platform: linux/amd64
    command: bench worker --queue short,default

  queue-long:
    <<: *backend_defaults
    platform: linux/amd64
    command: bench worker --queue long,default,short

  scheduler:
    <<: *backend_defaults
    platform: linux/amd64
    command: bench schedule

# Volumes for persistent data
volumes:
  sites:
  mariadb-data:
  postgres-data:

    # Networks for service communication
networks:
  frappe-network:
    driver: bridge
  langchain-network:
    driver: bridge