AdaptLoop/docker-compose.yml at main · hansitvarshney/AdaptLoop · GitHub

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services:
  redpanda:
    image: docker.redpanda.com/redpandadata/redpanda:v24.2.4
    container_name: adaptloop-redpanda
    command:
      - redpanda
      - start
      - --kafka-addr internal://0.0.0.0:9092,external://0.0.0.0:19092
      - --advertise-kafka-addr internal://redpanda:9092,external://localhost:19092
      - --pandaproxy-addr internal://0.0.0.0:8082,external://0.0.0.0:18082
      - --advertise-pandaproxy-addr internal://redpanda:8082,external://localhost:18082
      - --schema-registry-addr internal://0.0.0.0:8081,external://0.0.0.0:18081
      - --rpc-addr redpanda:33145
      - --advertise-rpc-addr redpanda:33145
      - --mode dev-container
      - --smp 1
      - --default-log-level=warn
    ports:
      - "19092:19092"
      - "18081:18081"
      - "18082:18082"
    volumes:
      - redpanda_data:/var/lib/redpanda/data
    healthcheck:
      test: ["CMD-SHELL", "rpk cluster health | grep -E 'Healthy:.+true'"]
      interval: 5s
      timeout: 10s
      retries: 12

  redpanda-init:
    image: docker.redpanda.com/redpandadata/redpanda:v24.2.4
    container_name: adaptloop-redpanda-init
    depends_on:
      redpanda:
        condition: service_healthy
    entrypoint: ["/bin/sh", "/infra/create-topics.sh"]
    volumes:
      - ./infra/redpanda/create-topics.sh:/infra/create-topics.sh:ro
    restart: "no"

  redpanda-console:
    image: docker.redpanda.com/redpandadata/console:v2.7.2
    container_name: adaptloop-redpanda-console
    depends_on:
      redpanda:
        condition: service_healthy
    ports:
      - "8085:8080"
    environment:
      KAFKA_BROKERS: redpanda:9092

  postgres:
    image: pgvector/pgvector:pg16
    container_name: adaptloop-postgres
    environment:
      POSTGRES_USER: adaptloop
      POSTGRES_PASSWORD: adaptloop
      POSTGRES_DB: adaptloop
    ports:
      - "5433:5432"
    volumes:
      - postgres_data:/var/lib/postgresql/data
      - ./infra/postgres/init.sql:/docker-entrypoint-initdb.d/01-init.sql:ro
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U adaptloop -d adaptloop"]
      interval: 5s
      timeout: 5s
      retries: 10

  redis:
    image: redis:7-alpine
    container_name: adaptloop-redis
    ports:
      - "6380:6379"
    volumes:
      - redis_data:/data
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 5s
      timeout: 3s
      retries: 10

  # Phase 2 curation / training artifacts (opt-in)
  minio:
    profiles: ["training"]
    image: minio/minio:RELEASE.2024-10-02T17-50-41Z
    container_name: adaptloop-minio
    command: server /data --console-address ":9001"
    environment:
      MINIO_ROOT_USER: adaptloop
      MINIO_ROOT_PASSWORD: adaptloopsecret
    ports:
      - "9000:9000"
      - "9001:9001"
    volumes:
      - minio_data:/data
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:9000/minio/health/live"]
      interval: 5s
      timeout: 5s
      retries: 10
      start_period: 5s

  minio-init:
    profiles: ["training"]
    image: minio/mc:RELEASE.2024-10-08T09-37-26Z
    container_name: adaptloop-minio-init
    depends_on:
      minio:
        condition: service_started
    entrypoint: ["/bin/sh", "/infra/create-buckets.sh"]
    volumes:
      - ./infra/minio/create-buckets.sh:/infra/create-buckets.sh:ro
    restart: "no"

  mlflow:
    profiles: ["training"]
    image: ghcr.io/mlflow/mlflow:v2.17.2
    container_name: adaptloop-mlflow
    command: >
      mlflow server
      --host 0.0.0.0
      --port 5000
      --backend-store-uri sqlite:////mlflow/mlflow.db
      --default-artifact-root mlflow-artifacts:/
      --serve-artifacts
      --artifacts-destination /mlflow/artifacts
    ports:
      - "5001:5000"
    volumes:
      - mlflow_data:/mlflow
    healthcheck:
      test:
        [
          "CMD-SHELL",
          "python -c \"import urllib.request; urllib.request.urlopen('http://127.0.0.1:5000/health')\"",
        ]
      interval: 10s
      timeout: 5s
      retries: 10
      start_period: 10s

volumes:
  redpanda_data:
  postgres_data:
  redis_data:
  minio_data:
  mlflow_data: