version: '3.8'

services:
  postgres:
    image: postgres:14-alpine
    container_name: telemetry-postgres
    environment:
      POSTGRES_USER: telemetry_user
      POSTGRES_PASSWORD: root
      POSTGRES_DB: telemetry_db
    ports:
      - "5432:5432"
    volumes:
      - pgdata:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U telemetry_user -d telemetry_db"]
      interval: 10s
      timeout: 5s
      retries: 5
    restart: always
  zookeeper:
    image: confluentinc/cp-zookeeper:7.3.0
    container_name: zookeeper
    environment:
      ZOOKEEPER_CLIENT_PORT: 2181
      ZOOKEEPER_TICK_TIME: 2000

  kafka:
    image: confluentinc/cp-kafka:7.3.0
    container_name: kafka
    ports:
      - "9092:9092"
    depends_on:
      - zookeeper
    environment:
      KAFKA_BROKER_ID: 1
      KAFKA_ZOOKEEPER_CONNECT: 'zookeeper:2181'
      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_INTERNAL:PLAINTEXT
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://localhost:9092,PLAINTEXT_INTERNAL://kafka:29092
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
      KAFKA_TRANSACTION_STATE_LOG_MIN_ISR: 1
      KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR: 1

  redis:
    image: redis:7-alpine
    container_name: redis
    ports:
      - "6379:6379"

  producer:
    container_name: producer
    # Tell Docker Compose to build the image from the telemetry-producer directory
    build:
      context: ./telemetry-producer
      dockerfile: Dockerfile
    depends_on:
      - kafka # Don't start the producer until Kafka is ready
    restart: on-failure

  consumer:
    container_name: consumer
    # Build the image from the telemetry-consumer directory
    ports:
      - "8082:8082"
    build:
      context: ./telemetry-consumer
      dockerfile: Dockerfile
    depends_on:
      - postgres
      - kafka
      - redis # Consumer needs both Kafka and Redis to be ready
    restart: on-failure
volumes:
  pgdata: