# Docker Compose for Hybrid Deployment (with K8s)
# ================================================
# 이 파일은 K8s와 함께 사용하는 하이브리드 배포용입니다.
# Pipeline 워커들은 K8s로 이동하고, 인프라와 중앙 제어만 Docker에 유지합니다.

version: '3.8'

services:
  # ============ Infrastructure Services ============

  # Local Docker Registry for K8s
  registry:
    image: registry:2
    container_name: ${COMPOSE_PROJECT_NAME}_registry
    ports:
      - "5555:5000"
    volumes:
      - ./data/registry:/var/lib/registry
    networks:
      - site11_network
    restart: unless-stopped

  mongodb:
    image: mongo:7.0
    container_name: ${COMPOSE_PROJECT_NAME}_mongodb
    ports:
      - "27017:27017"
    volumes:
      - ./data/mongodb:/data/db
      - ./data/mongodb-config:/data/configdb
    environment:
      - MONGO_INITDB_DATABASE=site11_db
    networks:
      - site11_network
    restart: unless-stopped

  redis:
    image: redis:7-alpine
    container_name: ${COMPOSE_PROJECT_NAME}_redis
    ports:
      - "6379:6379"
    volumes:
      - ./data/redis:/data
    command: redis-server --appendonly yes
    networks:
      - site11_network
    restart: unless-stopped

  zookeeper:
    image: confluentinc/cp-zookeeper:7.5.0
    container_name: ${COMPOSE_PROJECT_NAME}_zookeeper
    environment:
      ZOOKEEPER_CLIENT_PORT: 2181
      ZOOKEEPER_TICK_TIME: 2000
    volumes:
      - ./data/zookeeper/data:/var/lib/zookeeper/data
      - ./data/zookeeper/logs:/var/lib/zookeeper/logs
    networks:
      - site11_network
    restart: unless-stopped

  kafka:
    image: confluentinc/cp-kafka:7.5.0
    container_name: ${COMPOSE_PROJECT_NAME}_kafka
    depends_on:
      - zookeeper
    ports:
      - "9092:9092"
      - "9101:9101"
    environment:
      KAFKA_BROKER_ID: 1
      KAFKA_ZOOKEEPER_CONNECT: 'zookeeper:2181'
      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://kafka:29092,PLAINTEXT_HOST://localhost:9092
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
      KAFKA_TRANSACTION_STATE_LOG_MIN_ISR: 1
      KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR: 1
      KAFKA_GROUP_INITIAL_REBALANCE_DELAY_MS: 0
      KAFKA_JMX_PORT: 9101
      KAFKA_JMX_HOSTNAME: localhost
      KAFKA_AUTO_CREATE_TOPICS_ENABLE: 'true'
    volumes:
      - ./data/kafka:/var/lib/kafka/data
    networks:
      - site11_network
    restart: unless-stopped

  # ============ Central Control & Monitoring ============

  # Pipeline Scheduler - 중앙 제어 (Docker에 유지)
  pipeline-scheduler:
    build:
      context: ./services/pipeline
      dockerfile: scheduler/Dockerfile
    container_name: ${COMPOSE_PROJECT_NAME}_pipeline_scheduler
    restart: unless-stopped
    depends_on:
      - redis
      - mongodb
    environment:
      - REDIS_URL=redis://redis:6379
      - MONGODB_URL=mongodb://mongodb:27017
      - DB_NAME=ai_writer_db
      - LOG_LEVEL=INFO
      - SCHEDULER_INTERVAL=60
    volumes:
      - ./services/pipeline/shared:/app/shared:ro
      - ./services/pipeline/config:/app/config:ro
    networks:
      - site11_network

  # Pipeline Monitor - 모니터링 대시보드 (Docker에 유지)
  pipeline-monitor:
    build:
      context: ./services/pipeline
      dockerfile: monitor/Dockerfile
    container_name: ${COMPOSE_PROJECT_NAME}_pipeline_monitor
    restart: unless-stopped
    depends_on:
      - redis
      - mongodb
    ports:
      - "8100:8000"
    environment:
      - REDIS_URL=redis://redis:6379
      - MONGODB_URL=mongodb://mongodb:27017
      - DB_NAME=ai_writer_db
      - LOG_LEVEL=INFO
    volumes:
      - ./services/pipeline/shared:/app/shared:ro
    networks:
      - site11_network

  # Pipeline Language Sync - 언어 동기화 (Docker에 유지)
  pipeline-language-sync:
    build:
      context: ./services/pipeline
      dockerfile: translator/Dockerfile
    container_name: ${COMPOSE_PROJECT_NAME}_pipeline_language_sync
    restart: unless-stopped
    depends_on:
      - redis
      - mongodb
    env_file:
      - ./services/pipeline/.env
    environment:
      - REDIS_URL=redis://redis:6379
      - MONGODB_URL=mongodb://mongodb:27017
      - DB_NAME=ai_writer_db
      - LOG_LEVEL=INFO
      - MODE=sync  # sync 모드로 실행
    volumes:
      - ./services/pipeline/shared:/app/shared:ro
    networks:
      - site11_network
    command: ["python", "language_sync.py"]

  # ============ Other Essential Services ============

  console-backend:
    build:
      context: ./console/backend
      dockerfile: Dockerfile
    container_name: ${COMPOSE_PROJECT_NAME}_console_backend
    ports:
      - "8011:8000"
    environment:
      - ENV=${ENV}
      - MONGODB_URL=mongodb://mongodb:27017
      - REDIS_URL=redis://redis:6379
      - USERS_SERVICE_URL=http://users-backend:8000
    depends_on:
      - mongodb
      - redis
    networks:
      - site11_network
    restart: unless-stopped

  console-frontend:
    build:
      context: ./console/frontend
      dockerfile: Dockerfile
    container_name: ${COMPOSE_PROJECT_NAME}_console_frontend
    ports:
      - "3000:80"
    environment:
      - VITE_API_URL=http://localhost:8011
    networks:
      - site11_network
    restart: unless-stopped

networks:
  site11_network:
    driver: bridge
    name: site11_network

# ============ K8s로 이동한 서비스들 ============
# 다음 서비스들은 K8s에서 실행됩니다:
# - pipeline-rss-collector
# - pipeline-google-search
# - pipeline-translator
# - pipeline-ai-article-generator
# - pipeline-image-generator
#
# K8s 배포 방법:
# cd k8s/pipeline
# ./deploy.sh