anti-plagiarism/docker-compose.test.yml

# ═══════════════════════════════════════════════════════════════════════════════
# ТЕСТОВЫЙ стек: локально — api, frontend, воркеры, elasticsearch, flower.
# Удалённо (через .env) — postgres, redis, minio, ollama, rabbitmq (сервер .82).
# Запуск:  docker compose -f docker-compose.test.yml up -d --build
# ═══════════════════════════════════════════════════════════════════════════════

networks:
  aptest:
    driver: bridge

volumes:
  es_test_data:
  faiss_index:

x-app-env: &app-env
  env_file: .env
  networks:
    - aptest
  restart: unless-stopped

services:

  # ─── Локальная инфраструктура ──────────────────────────────────────────────
  elasticsearch:
    image: elasticsearch:8.13.0
    container_name: aptest-elasticsearch
    environment:
      - discovery.type=single-node
      - xpack.security.enabled=false
      - xpack.ml.enabled=false
      - ES_JAVA_OPTS=-Xms512m -Xmx512m
      - bootstrap.memory_lock=false
      - cluster.name=antiplagiator-test
    volumes:
      - es_test_data:/usr/share/elasticsearch/data
    networks:
      - aptest
    ports:
      - "9200:9200"
    restart: unless-stopped
    healthcheck:
      test: ["CMD-SHELL", "curl -s http://localhost:9200/_cluster/health | grep -qv '\"status\":\"red\"'"]
      interval: 15s
      timeout: 10s
      retries: 10
      start_period: 60s

  # ─── Приложение ────────────────────────────────────────────────────────────
  # RabbitMQ вынесен на отдельный сервер 192.168.20.82 (см. RABBITMQ_URL в .env)
  api:
    build:
      context: ./services/api
      dockerfile: Dockerfile
    container_name: aptest-api
    <<: *app-env
    command: uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload --reload-dir /app/app
    volumes:
      - ./services/api:/app
    ports:
      - "8000:8000"
    depends_on:
      elasticsearch:
        condition: service_healthy

  frontend:
    build:
      context: ./services/frontend
      dockerfile: Dockerfile.dev
    container_name: aptest-frontend
    environment:
      VITE_API_TARGET: http://api:8000
    networks:
      - aptest
    volumes:
      - ./services/frontend:/app
      - /app/node_modules
    ports:
      - "5173:5173"
    depends_on:
      - api
    restart: unless-stopped

  worker-gpu:
    build:
      context: ./services/worker-gpu
      dockerfile: Dockerfile
    container_name: aptest-worker-gpu
    <<: *app-env
    command: celery -A app.celery_app worker -Q queue.gpu -c 1 -n gpu@%h --loglevel=info
    volumes:
      - ./services/worker-gpu:/app
      - faiss_index:/data/index

  worker-indexer:
    build:
      context: ./services/worker-indexer
      dockerfile: Dockerfile
    container_name: aptest-worker-indexer
    <<: *app-env
    command: celery -A app.celery_app worker -Q queue.index -c 2 -n indexer@%h --loglevel=info
    volumes:
      - ./services/worker-indexer:/app
      - ./scripts/parsers:/parsers:ro
    depends_on:
      elasticsearch:
        condition: service_healthy

  worker-notifier:
    build:
      context: ./services/worker-notifier
      dockerfile: Dockerfile
    container_name: aptest-worker-notifier
    <<: *app-env
    command: celery -A app.celery_app worker -Q queue.notify -c 4 -n notifier@%h --loglevel=info
    volumes:
      - ./services/worker-notifier:/app

  worker-gost:
    build:
      context: ./services/worker-gost
      dockerfile: Dockerfile
    container_name: aptest-worker-gost
    <<: *app-env
    command: celery -A app.celery_app worker -Q queue.gost -c 2 -n gost@%h --loglevel=info
    volumes:
      - ./services/worker-gost:/app

  flower:
    image: mher/flower:2.0
    container_name: aptest-flower
    command: celery --broker=${RABBITMQ_URL} flower --port=5555
    environment:
      CELERY_BROKER_URL: ${RABBITMQ_URL}
      CELERY_RESULT_BACKEND: ${REDIS_URL}
    networks:
      - aptest
    ports:
      - "5555:5555"
    restart: unless-stopped