docker-compose.yml

# AI Automation Bot - Docker Compose
# Tam ortam kurulumu için docker-compose dosyası

version: '3.8'

services:
  # Ana AI Automation Bot servisi
  ai-bot:
    build:
      context: .
      dockerfile: Dockerfile
      target: production
    container_name: ai-automation-bot
    restart: unless-stopped
    environment:
      - ENVIRONMENT=production
      - PYTHONPATH=/app
      - DB_HOST=postgres
      - DB_PORT=5432
      - DB_NAME=automation_db
      - DB_USER=ai_bot_user
      - DB_PASSWORD=${DB_PASSWORD:-ai_bot_password}
      - REDIS_HOST=redis
      - REDIS_PORT=6379
      - API_KEY=${API_KEY}
      - ENCRYPTION_KEY=${ENCRYPTION_KEY}
      - JWT_SECRET=${JWT_SECRET}
    volumes:
      - ./data:/app/data
      - ./logs:/app/logs
      - ./models:/app/models
      - ./reports:/app/reports
      - ./backups:/app/backups
      - ./config:/app/config
    ports:
      - "8000:8000"  # API port
      - "8080:8080"  # Dashboard port
    depends_on:
      - postgres
      - redis
    networks:
      - ai-bot-network
    healthcheck:
      test: ["CMD", "python", "-c", "import requests; requests.get('http://localhost:8000/health')"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 40s

  # PostgreSQL veritabanı
  postgres:
    image: postgres:13-alpine
    container_name: ai-bot-postgres
    restart: unless-stopped
    environment:
      POSTGRES_DB: automation_db
      POSTGRES_USER: ai_bot_user
      POSTGRES_PASSWORD: ${DB_PASSWORD:-ai_bot_password}
      POSTGRES_INITDB_ARGS: "--encoding=UTF-8 --lc-collate=C --lc-ctype=C"
    volumes:
      - postgres_data:/var/lib/postgresql/data
      - ./scripts/init-db.sql:/docker-entrypoint-initdb.d/init-db.sql
    ports:
      - "5432:5432"
    networks:
      - ai-bot-network
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U ai_bot_user -d automation_db"]
      interval: 10s
      timeout: 5s
      retries: 5

  # Redis cache ve message broker
  redis:
    image: redis:6-alpine
    container_name: ai-bot-redis
    restart: unless-stopped
    command: redis-server --appendonly yes --requirepass ${REDIS_PASSWORD:-redis_password}
    volumes:
      - redis_data:/data
    ports:
      - "6379:6379"
    networks:
      - ai-bot-network
    healthcheck:
      test: ["CMD", "redis-cli", "--raw", "incr", "ping"]
      interval: 10s
      timeout: 5s
      retries: 5

  # MongoDB (opsiyonel - büyük veri için)
  mongodb:
    image: mongo:5.0
    container_name: ai-bot-mongodb
    restart: unless-stopped
    environment:
      MONGO_INITDB_ROOT_USERNAME: ai_bot_user
      MONGO_INITDB_ROOT_PASSWORD: ${MONGO_PASSWORD:-mongo_password}
      MONGO_INITDB_DATABASE: automation_db
    volumes:
      - mongodb_data:/data/db
      - ./scripts/init-mongo.js:/docker-entrypoint-initdb.d/init-mongo.js
    ports:
      - "27017:27017"
    networks:
      - ai-bot-network
    profiles:
      - full-stack

  # Elasticsearch (opsiyonel - log analizi için)
  elasticsearch:
    image: docker.elastic.co/elasticsearch/elasticsearch:7.17.0
    container_name: ai-bot-elasticsearch
    restart: unless-stopped
    environment:
      - discovery.type=single-node
      - xpack.security.enabled=false
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
    volumes:
      - elasticsearch_data:/usr/share/elasticsearch/data
    ports:
      - "9200:9200"
      - "9300:9300"
    networks:
      - ai-bot-network
    profiles:
      - full-stack

  # Kibana (opsiyonel - Elasticsearch dashboard)
  kibana:
    image: docker.elastic.co/kibana/kibana:7.17.0
    container_name: ai-bot-kibana
    restart: unless-stopped
    environment:
      ELASTICSEARCH_HOSTS: http://elasticsearch:9200
    ports:
      - "5601:5601"
    depends_on:
      - elasticsearch
    networks:
      - ai-bot-network
    profiles:
      - full-stack

  # Prometheus (opsiyonel - monitoring)
  prometheus:
    image: prom/prometheus:latest
    container_name: ai-bot-prometheus
    restart: unless-stopped
    command:
      - '--config.file=/etc/prometheus/prometheus.yml'
      - '--storage.tsdb.path=/prometheus'
      - '--web.console.libraries=/etc/prometheus/console_libraries'
      - '--web.console.templates=/etc/prometheus/consoles'
      - '--storage.tsdb.retention.time=200h'
      - '--web.enable-lifecycle'
    volumes:
      - ./monitoring/prometheus.yml:/etc/prometheus/prometheus.yml
      - prometheus_data:/prometheus
    ports:
      - "9090:9090"
    networks:
      - ai-bot-network
    profiles:
      - monitoring

  # Grafana (opsiyonel - monitoring dashboard)
  grafana:
    image: grafana/grafana:latest
    container_name: ai-bot-grafana
    restart: unless-stopped
    environment:
      GF_SECURITY_ADMIN_PASSWORD: ${GRAFANA_PASSWORD:-admin}
    volumes:
      - grafana_data:/var/lib/grafana
      - ./monitoring/grafana/dashboards:/etc/grafana/provisioning/dashboards
      - ./monitoring/grafana/datasources:/etc/grafana/provisioning/datasources
    ports:
      - "3000:3000"
    depends_on:
      - prometheus
    networks:
      - ai-bot-network
    profiles:
      - monitoring

  # Nginx (opsiyonel - reverse proxy)
  nginx:
    image: nginx:alpine
    container_name: ai-bot-nginx
    restart: unless-stopped
    volumes:
      - ./nginx/nginx.conf:/etc/nginx/nginx.conf
      - ./nginx/ssl:/etc/nginx/ssl
    ports:
      - "80:80"
      - "443:443"
    depends_on:
      - ai-bot
    networks:
      - ai-bot-network
    profiles:
      - production

  # Celery worker (opsiyonel - background tasks)
  celery-worker:
    build:
      context: .
      dockerfile: Dockerfile
      target: production
    container_name: ai-bot-celery-worker
    restart: unless-stopped
    command: ["celery", "-A", "src.automation.celery_app", "worker", "--loglevel=info"]
    environment:
      - ENVIRONMENT=production
      - PYTHONPATH=/app
      - DB_HOST=postgres
      - DB_PORT=5432
      - DB_NAME=automation_db
      - DB_USER=ai_bot_user
      - DB_PASSWORD=${DB_PASSWORD:-ai_bot_password}
      - REDIS_HOST=redis
      - REDIS_PORT=6379
    volumes:
      - ./data:/app/data
      - ./logs:/app/logs
      - ./models:/app/models
    depends_on:
      - postgres
      - redis
    networks:
      - ai-bot-network
    profiles:
      - production

  # Celery beat (opsiyonel - scheduled tasks)
  celery-beat:
    build:
      context: .
      dockerfile: Dockerfile
      target: production
    container_name: ai-bot-celery-beat
    restart: unless-stopped
    command: ["celery", "-A", "src.automation.celery_app", "beat", "--loglevel=info"]
    environment:
      - ENVIRONMENT=production
      - PYTHONPATH=/app
      - DB_HOST=postgres
      - DB_PORT=5432
      - DB_NAME=automation_db
      - DB_USER=ai_bot_user
      - DB_PASSWORD=${DB_PASSWORD:-ai_bot_password}
      - REDIS_HOST=redis
      - REDIS_PORT=6379
    volumes:
      - ./data:/app/data
      - ./logs:/app/logs
    depends_on:
      - postgres
      - redis
    networks:
      - ai-bot-network
    profiles:
      - production

  # Flower (opsiyonel - Celery monitoring)
  flower:
    build:
      context: .
      dockerfile: Dockerfile
      target: production
    container_name: ai-bot-flower
    restart: unless-stopped
    command: ["celery", "-A", "src.automation.celery_app", "flower", "--port=5555"]
    environment:
      - ENVIRONMENT=production
      - PYTHONPATH=/app
      - REDIS_HOST=redis
      - REDIS_PORT=6379
    ports:
      - "5555:5555"
    depends_on:
      - redis
    networks:
      - ai-bot-network
    profiles:
      - production

# Volumes
volumes:
  postgres_data:
    driver: local
  redis_data:
    driver: local
  mongodb_data:
    driver: local
  elasticsearch_data:
    driver: local
  prometheus_data:
    driver: local
  grafana_data:
    driver: local

# Networks
networks:
  ai-bot-network:
    driver: bridge
    ipam:
      config:
        - subnet: 172.20.0.0/16