# 本地测试用 Docker Compose（iam + teacher-bff + ai 联调）
# 使用方式：
#   docker compose -f infra/docker-compose.test.yml up -d --build
#
# 依赖：edu-full_default 网络已存在（MySQL/Redis/Kafka 已在该网络）
# 网络：复用 edu-full_default，使各服务可直连 edu-mysql/edu-redis/edu-kafka
name: edu-test

services:
  iam:
    build:
      context: ..
      dockerfile: services/iam/Dockerfile
    container_name: edu-iam-test
    restart: unless-stopped
    environment:
      # 生产模式：避免 pino-pretty 依赖（pruned by --prod）
      # DEV_MODE=true 仍可旁路鉴权
      NODE_ENV: production
      PORT: "3002"
      GRPC_PORT: "50052"
      DATABASE_URL: mysql://edu:changeme@edu-mysql:3306/next_edu_cloud
      REDIS_URL: redis://edu-redis:6379
      IAM_PRIVATE_KEY_PATH: /app/keys/iam-private.pem
      IAM_PUBLIC_KEY_PATH: /app/keys/iam-public.pem
      JWT_ISSUER: next-edu-cloud
      JWT_AUDIENCE: next-edu-cloud
      JWT_KEY_ID: iam-rs256-v1
      KAFKA_BROKERS: kafka:29092
      KAFKA_CLIENT_ID: iam-service
      LOG_LEVEL: info
      # 开发模式：接受 dev-token 旁路鉴权
      DEV_MODE: "true"
    ports:
      - "3002:3002"
      - "50052:50052"
    volumes:
      - ../keys:/app/keys:ro
    healthcheck:
      test: ["CMD", "wget", "--quiet", "--spider", "http://localhost:3002/healthz"]
      interval: 10s
      timeout: 5s
      start_period: 30s
      retries: 5
    networks:
      - edu-full

  teacher-bff:
    build:
      context: ..
      dockerfile: services/teacher-bff/Dockerfile
    container_name: edu-teacher-bff-test
    restart: unless-stopped
    environment:
      NODE_ENV: production
      PORT: "3003"
      GRAPHQL_PATH: /graphql
      TEACHER_BFF_DEV_MODE: "true"
      REDIS_URL: redis://edu-redis:6379
      IAM_GRPC_TARGET: iam:50052
      IAM_SERVICE_URL: http://iam:3002
      CORE_EDU_GRPC_TARGET: core-edu:50053
      CONTENT_GRPC_TARGET: content:50054
      DATA_ANA_GRPC_TARGET: data-ana:50055
      MSG_GRPC_TARGET: msg:50056
      MSG_SERVICE_URL: http://msg:3007
      AI_GRPC_TARGET: ai:50058
      LOG_LEVEL: info
    ports:
      - "3003:3003"
    depends_on:
      iam:
        condition: service_healthy
    healthcheck:
      test: ["CMD", "wget", "--quiet", "--spider", "http://localhost:3003/healthz"]
      interval: 10s
      timeout: 5s
      start_period: 20s
      retries: 5
    networks:
      - edu-full

  ai:
    build:
      context: ../services/ai
      dockerfile: Dockerfile
    container_name: edu-ai-test
    restart: unless-stopped
    environment:
      # HTTP/gRPC 端口
      HTTP_PORT: "3008"
      GRPC_PORT: "50058"
      # 开发模式（旁路鉴权，dev-token）
      DEV_MODE: "true"
      LOG_LEVEL: info
      # 基础设施
      REDIS_URL: redis://edu-redis:6379/0
      KAFKA_BOOTSTRAP_SERVERS: kafka:29092
      KAFKA_AI_USAGE_TOPIC: edu.ai.usage
      # 下游 gRPC 端点（edu-full_default 网络内服务名解析）
      # content 服务未启动 → connect 失败但不阻断启动，调用时抛 AIError
      CONTENT_GRPC_ENDPOINT: content:50054
      DATA_ANA_GRPC_ENDPOINT: data-ana:50055
      IAM_GRPC_ENDPOINT: iam:50052
      # LLM 配置（测试环境不配 API key，LLM 功能降级，HTTP 端点仍可调）
      OPENAI_API_KEY: ""
      OPENAI_BASE_URL: https://api.openai.com/v1
      ANTHROPIC_API_KEY: ""
      BAICHUAN_API_KEY: ""
      OLLAMA_BASE_URL: ""
      LLM_PROVIDER_PRIORITY: openai,anthropic,baichuan,local_ollama
      DEFAULT_CHAT_MODEL: gpt-4o-mini
      DEFAULT_QUESTION_MODEL: gpt-4o-mini
      # 可观测性（jaeger 已在 edu-full_default 网络中）
      OTEL_EXPORTER_OTLP_ENDPOINT: http://edu-jaeger:4318
    ports:
      - "3008:3008"
      - "50058:50058"
    depends_on:
      iam:
        condition: service_healthy
    healthcheck:
      test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:3008/healthz')"]
      interval: 10s
      timeout: 5s
      start_period: 30s
      retries: 5
    networks:
      - edu-full

networks:
  edu-full:
    external: true
    name: edu-full_default