docker-compose.yml

version: '3.9'

services:
  # ─── Kafka Ecosystem ───────────────────────────────
  zookeeper:
    image: confluentinc/cp-zookeeper:7.5.0
    environment:
      ZOOKEEPER_CLIENT_PORT: 2181
      ZOOKEEPER_TICK_TIME: 2000
    ports: ["2181:2181"]
    healthcheck:
      test: ["CMD", "nc", "-z", "localhost", "2181"]
      interval: 10s
      retries: 5

  kafka:
    image: confluentinc/cp-kafka:7.5.0
    depends_on:
      zookeeper:
        condition: service_healthy
    ports: ["9092:9092"]
    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_AUTO_CREATE_TOPICS_ENABLE: "true"
    healthcheck:
      test: ["CMD", "kafka-broker-api-versions", "--bootstrap-server", "localhost:9092"]
      interval: 15s
      retries: 10

  kafka-ui:
    image: provectuslabs/kafka-ui:latest
    depends_on: [kafka]
    ports: ["8080:8080"]
    environment:
      KAFKA_CLUSTERS_0_NAME: local
      KAFKA_CLUSTERS_0_BOOTSTRAPSERVERS: kafka:29092

  # ─── Database ──────────────────────────────────────
  postgres:
    image: postgres:15-alpine
    environment:
      POSTGRES_DB: dociq_analytics
      POSTGRES_USER: dociq
      POSTGRES_PASSWORD: dociq_secret
    ports: ["5432:5432"]
    volumes:
      - postgres_data:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U dociq"]
      interval: 10s
      retries: 5

  redis:
    image: redis:7-alpine
    ports: ["6379:6379"]
    command: redis-server --appendonly yes
    volumes:
      - redis_data:/data

  # ─── Java Microservices ────────────────────────────
  upload-service:
    build: ./backend/upload-service
    ports: ["8081:8081"]
    depends_on:
      kafka:
        condition: service_healthy
    environment:
      KAFKA_BOOTSTRAP_SERVERS: kafka:29092
      S3_BUCKET_NAME: ${S3_BUCKET_NAME:-ai-doc-intelligence-uploads}
      AWS_REGION: ${AWS_REGION:-us-east-1}
      AWS_ACCESS_KEY_ID: ${AWS_ACCESS_KEY_ID}
      AWS_SECRET_ACCESS_KEY: ${AWS_SECRET_ACCESS_KEY}
    healthcheck:
      test: ["CMD", "wget", "-qO-", "http://localhost:8081/api/v1/documents/health"]
      interval: 30s
      retries: 5

  processing-service:
    build: ./backend/processing-service
    ports: ["8082:8082"]
    depends_on:
      kafka:
        condition: service_healthy
    environment:
      KAFKA_BOOTSTRAP_SERVERS: kafka:29092
      PYTHON_PIPELINE_URL: http://python-pipeline:8090

  extraction-service:
    build: ./backend/extraction-service
    ports: ["8083:8083"]
    depends_on:
      kafka:
        condition: service_healthy
    environment:
      KAFKA_BOOTSTRAP_SERVERS: kafka:29092
      OPENAI_API_KEY: ${OPENAI_API_KEY}
      LLM_DEFAULT_PROVIDER: ${LLM_DEFAULT_PROVIDER:-openai}

  analytics-service:
    build: ./backend/analytics-service
    ports: ["8084:8084"]
    depends_on:
      kafka:
        condition: service_healthy
      postgres:
        condition: service_healthy
    environment:
      KAFKA_BOOTSTRAP_SERVERS: kafka:29092
      DB_URL: jdbc:postgresql://postgres:5432/dociq_analytics
      DB_USERNAME: dociq
      DB_PASSWORD: dociq_secret

  # ─── Python Pipeline ───────────────────────────────
  python-pipeline:
    build: ./python-pipeline
    ports: ["8090:8090"]
    environment:
      AWS_REGION: ${AWS_REGION:-us-east-1}
      AWS_ACCESS_KEY_ID: ${AWS_ACCESS_KEY_ID}
      AWS_SECRET_ACCESS_KEY: ${AWS_SECRET_ACCESS_KEY}
    healthcheck:
      test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8090/health')"]
      interval: 30s
      retries: 5

  # ─── Frontend ──────────────────────────────────────
  frontend:
    build: ./frontend
    ports: ["3000:80"]
    depends_on: [upload-service, analytics-service]

volumes:
  postgres_data:
  redis_data: