Files
meijiaka-zy/python-api/docker-compose.prod.yml
T
小鱼开发 e58159fc42 refactor: 第三方平台架构改造(Adapter Protocol + Gateway)
Phase 1: 异常体系统一
- 新增 PlatformError / PlatformErrorType 标准定义
- 改造所有 Provider 异常抛出为 PlatformError
- 注册全局 PlatformError exception handler

Phase 2: Adapter Protocol
- 新增 app/ai/adapters/base.py(PlatformAdapter + SyncCapable + TaskCapable + CallbackCapable)
- 新增 app/ai/adapters/constants.py(Method 常量)
- 新增 PlatformConfigLoader(config/platform-config.yaml)

Phase 3: HTTP Client 统一
- ViduProvider 从 aiohttp 迁移到 httpx(注入方式)
- VolcengineCaptionService 改为注入 http_client
- lifespan 统一管理所有 Client 创建和关闭

Phase 4: Gateway 骨架 + Adapter 实现
- 新增 ViduAdapter / VolcengineArkAdapter / VolcengineCaptionAdapter
- 新增 PlatformGateway(call_sync / submit_task / query_task / handle_webhook)
- 新增 LLMGateway(带 Fallback 降级链)
- lifespan 注册所有 Adapter 和 Gateway

Phase 6: 清理与验证
- 从 Settings 移除 VIDU_BASE_URL / VOLCENGINE_BASE_URL
- Provider 改为从 PlatformConfigLoader 读取 base_url
- 清理 volcengine_caption_service 全局单例
- config_loader 默认路径改为 platform-config.yaml
- Scheduler 注入共享 HTTP client
- vidu.py 回调路由使用 Adapter 验签和解析
- ruff 全量通过,应用启动测试通过
2026-05-04 16:07:16 +08:00

69 lines
2.3 KiB
YAML

# =============================================================================
# 美家卡智影 API - 生产环境配置
# =============================================================================
# 说明:
# • 此配置仅运行 api + scheduler 服务
# • 假设 PostgreSQL 和 Redis 由外部基础设施提供(云数据库 / 自建集群)
# • 与测试环境使用**同一套 Dockerfile**,仅环境变量不同
#
# 用法:
# export $(cat .env | xargs) # 或从 CI/CD / 密钥管理注入
# docker compose -f docker-compose.prod.yml up -d --build
# =============================================================================
services:
api:
build:
context: .
dockerfile: Dockerfile
container_name: meijiaka-zy-api
environment:
- ENV=production
- APP_BASE_URL=https://tapi.meijiaka.cn
- DEBUG=false
- DATABASE_URL=${DATABASE_URL}
- REDIS_HOST=${REDIS_HOST}
- REDIS_PORT=${REDIS_PORT:-6379}
- REDIS_DB=${REDIS_DB:-0}
- SECRET_KEY=${SECRET_KEY}
- VOLCENGINE_API_KEY=${VOLCENGINE_API_KEY}
- VIDU_API_KEY=${VIDU_API_KEY}
- QINIU_ACCESS_KEY=${QINIU_ACCESS_KEY}
- QINIU_SECRET_KEY=${QINIU_SECRET_KEY}
volumes:
# 仅持久化日志到宿主机,其他数据走对象存储
- /opt/meijiaka-zy/logs:/root/Documents/Meijiaka-zy/logs
ports:
- "8000:8000"
restart: unless-stopped
healthcheck:
test: ["CMD-SHELL", "python -c \"import urllib.request; urllib.request.urlopen('http://localhost:8000/health')\""]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
scheduler:
build:
context: .
dockerfile: Dockerfile
container_name: meijiaka-zy-scheduler
environment:
- ENV=production
- APP_BASE_URL=https://tapi.meijiaka.cn
- DEBUG=false
- DATABASE_URL=${DATABASE_URL}
- REDIS_HOST=${REDIS_HOST}
- REDIS_PORT=${REDIS_PORT:-6379}
- REDIS_DB=${REDIS_DB:-0}
- SECRET_KEY=${SECRET_KEY}
- VOLCENGINE_API_KEY=${VOLCENGINE_API_KEY}
- VIDU_API_KEY=${VIDU_API_KEY}
volumes:
- /opt/meijiaka-zy/logs:/root/Documents/Meijiaka-zy/logs
command: python -m app.scheduler.main
restart: unless-stopped
depends_on:
api:
condition: service_healthy