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life-echo/api/docker-compose.yml

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version: '3.8'
services:
# PostgreSQL 数据库(使用最新版 17
postgres:
image: postgres:17-alpine
container_name: life-echo-postgres
# ports:
# - "5432:5432" # 不暴露到宿主机,仅在 Docker 网络内部访问
environment:
POSTGRES_USER: ${POSTGRES_USER:-postgres}
POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-postgres}
POSTGRES_DB: ${POSTGRES_DB:-life_echo}
volumes:
- postgres_data:/var/lib/postgresql/data
restart: always
healthcheck:
test: ["CMD-SHELL", "pg_isready -U postgres"]
interval: 10s
timeout: 5s
retries: 5
networks:
- life-echo-network
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "3"
# Redis 服务(用于会话存储和 Celery 消息队列)
redis:
image: redis:7-alpine
container_name: life-echo-redis
# ports:
# - "6379:6379" # 不暴露到宿主机,仅在 Docker 网络内部访问
volumes:
- redis_data:/data
command: redis-server --appendonly yes --maxmemory 256mb --maxmemory-policy allkeys-lru
restart: always
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 10s
timeout: 5s
retries: 5
networks:
- life-echo-network
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "3"
# FastAPI 应用
api:
build:
context: .
dockerfile: Dockerfile
image: life-echo-api:latest
container_name: life-echo-api-prod
ports:
- "8000:8000"
env_file:
- .env.production
environment:
- DATABASE_URL=postgresql://postgres:postgres@postgres:5432/life_echo
- REDIS_URL=redis://redis:6379/0
- ASR_MODEL_CACHE_DIR=/app/models/whisper
restart: always
depends_on:
postgres:
condition: service_healthy
redis:
condition: service_healthy
healthcheck:
test: ["CMD", "python", "-c", "import http.client; conn = http.client.HTTPConnection('localhost', 8000); conn.request('GET', '/health'); r = conn.getresponse(); exit(0 if r.status == 200 else 1)"]
interval: 30s
timeout: 10s
retries: 3
start_period: 15s
networks:
- life-echo-network
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "3"
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# Celery Worker后台任务处理禁用镜像内置的 8000 端口健康检查,改用 celery inspect ping
celery-worker:
build:
context: .
dockerfile: Dockerfile
image: life-echo-api:latest
container_name: life-echo-celery-worker
command: celery -A tasks.celery_app worker --loglevel=info --concurrency=4
env_file:
- .env.production
environment:
- DATABASE_URL=postgresql://postgres:postgres@postgres:5432/life_echo
- REDIS_URL=redis://redis:6379/0
restart: always
depends_on:
postgres:
condition: service_healthy
redis:
condition: service_healthy
api:
condition: service_healthy
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healthcheck:
test: ["CMD-SHELL", "celery -A tasks.celery_app inspect ping --timeout 10 2>/dev/null | grep -q pong || exit 1"]
interval: 30s
timeout: 15s
retries: 3
start_period: 30s
networks:
- life-echo-network
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "3"
# Celery Beat定时任务调度可选
# celery-beat:
# build:
# context: .
# dockerfile: Dockerfile
# image: life-echo-api:latest
# container_name: life-echo-celery-beat
# command: celery -A tasks.celery_app beat --loglevel=info
# env_file:
# - .env.production
# environment:
# - DATABASE_URL=postgresql://postgres:postgres@postgres:5432/life_echo
# - REDIS_URL=redis://redis:6379/0
# restart: always
# depends_on:
# postgres:
# condition: service_healthy
# redis:
# condition: service_healthy
# networks:
# - life-echo-network
# FlowerCelery 监控面板,可选)
# flower:
# build:
# context: .
# dockerfile: Dockerfile
# image: life-echo-api:latest
# container_name: life-echo-flower
# command: celery -A tasks.celery_app flower --port=5555
# ports:
# - "5555:5555"
# env_file:
# - .env.production
# environment:
# - REDIS_URL=redis://redis:6379/0
# restart: always
# depends_on:
# redis:
# condition: service_healthy
# networks:
# - life-echo-network
networks:
life-echo-network:
external: true
name: api_life-echo-network
volumes:
postgres_data:
driver: local
redis_data:
driver: local