services: postgres: image: postgres:16-alpine container_name: ent-postgres restart: always entrypoint: > sh -c ' if [ ! -f /usr/local/share/postgresql/extension/vector.control ]; then echo ">>> pgvector 未安装,正在编译安装(仅首次约 30 秒)..." apk add --no-cache --virtual .pg_build git build-base postgresql16-dev clang llvm-dev > /dev/null 2>&1 wget -qO- https://github.com/pgvector/pgvector/archive/refs/tags/v0.7.4.tar.gz | tar xz -C /tmp cd /tmp/pgvector-0.7.4 && make -j2 > /dev/null 2>&1 && make install > /dev/null 2>&1 cd / && rm -rf /tmp/pgvector-0.7.4 apk del .pg_build > /dev/null 2>&1 echo ">>> pgvector 安装完成" fi exec docker-entrypoint.sh postgres ' environment: POSTGRES_USER: enterprise POSTGRES_PASSWORD: enterprise123 POSTGRES_DB: enterprise_ai volumes: - postgres_data:/var/lib/postgresql/data - ./init-db:/docker-entrypoint-initdb.d ports: - "5431:5432" healthcheck: test: ["CMD-SHELL", "pg_isready -U enterprise"] interval: 5s timeout: 5s retries: 5 redis: image: redis:7-alpine container_name: ent-redis restart: always command: redis-server --appendonly yes --requirepass redis123 volumes: - redis_data:/data ports: - "6378:6379" backend: build: context: ./backend dockerfile: Dockerfile container_name: ent-backend restart: always depends_on: postgres: condition: service_healthy redis: condition: service_started environment: DATABASE_URL: postgresql+asyncpg://enterprise:enterprise123@postgres:5432/enterprise_ai REDIS_URL: redis://:redis123@redis:6379/0 JWT_SECRET: dev-secret-key-change-in-production-32chars LLM_API_KEY: ${LLM_API_KEY:-sk-placeholder} LLM_API_BASE: ${LLM_API_BASE:-https://api.openai.com/v1} LLM_MODEL: ${LLM_MODEL:-gpt-4o-mini} ports: - "8100:8000" frontend: build: context: ./frontend dockerfile: Dockerfile.prod container_name: ent-frontend restart: always depends_on: - backend ports: - "80:80" volumes: postgres_data: redis_data: