xiaoxia
5ab30f7706
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新增 MuseTalk 本地 GPU Worker 反向轮询能力，解决阿里云CPU服务器无法跑GPU推理的问题。
后端API层（新增）：
- 表 gpu_lipsync_tasks（id/status/video_url/audio_url/result_url/worker_id/
attempt/error_msg/created_at/started_at/finished_at/last_heartbeat_at）
- 表 gpu_workers（worker_id/hostname/gpu_name/free_vram_mb/capabilities/last_heartbeat_at）
- alembic 迁移 081_add_gpu_lipsync_tasks
- 4个接口（/api/v1/gpu 前缀，长期 GPU_WORKER_TOKEN Bearer 鉴权）：
* POST /gpu/register — Worker 注册/心跳
* GET /gpu/lipsync/poll?worker_id=xxx — 拉取 pending 任务（带预签名下载+PUT上传URL），
原子 UPDATE WHERE status=pending 防并发；无任务返回204
* POST /gpu/lipsync/result — multipart 上报结果（支持Worker代传文件到OSS，
或先自PUT到预签名URL再无文件上报）
* GET /gpu/lipsync/status/{task_id} — 任务状态查询
- 超时回退：processing 任务超过 gpu_task_timeout_seconds（默认300s）无心跳
自动回退 pending 重试，最多 MAX_ATTEMPTS(3) 次
- 配置项：GPU_WORKER_TOKEN / GPU_TASK_TIMEOUT_SECONDS（SharedSettings）
- OSS 存储：SharedStorageService 新增 get_upload_url 预签名 PUT URL
- CI/环境：.env/.env.staging/.env.production + render_env.sh + ci-pipeline.yml
均注入 GPU_WORKER_TOKEN
Worker脚本（deploy/gpu_worker/，零项目代码依赖，仅依赖requests）：
- gpu_worker.py：启动register→5s轮询→下载视频/音频→POST本地MuseTalk /inference
→multipart回传结果→失败本地重试+上报failed→单任务串行
- requirements.txt：仅 requests>=2.31
- xiaoxia-gpu-worker.service：systemd 开机自启单元
- .env.example：环境变量样例
- README.md：Linux/Windows部署+联调+故障排查
单元测试：10个用例覆盖创建/轮询/并发认领/成功/失败重试/
最大重试失败/超时回退/注册心跳/按lipsync_job查询，全绿。
22 lines
706 B
Desktop File
22 lines
706 B
Desktop File
[Unit]
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Description=MuseTalk GPU Worker (xiaoxia-saas 反向轮询)
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After=network.target musetalk.service
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# 本地 MuseTalk 服务启动后再启动本 Worker；若 MuseTalk 没有 systemd 服务则删除 musetalk.service
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[Service]
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Type=simple
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User=%i
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WorkingDirectory=/opt/xiaoxia-gpu-worker
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# 读取环境变量（API 地址、Token、轮询间隔等）
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EnvironmentFile=/opt/xiaoxia-gpu-worker/.env
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ExecStart=/opt/xiaoxia-gpu-worker/venv/bin/python /opt/xiaoxia-gpu-worker/gpu_worker.py
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Restart=always
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RestartSec=10
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# 日志走 journal，用 journalctl -u xiaoxia-gpu-worker -f 查看
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StandardOutput=journal
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StandardError=journal
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SyslogIdentifier=xiaoxia-gpu-worker
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[Install]
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WantedBy=multi-user.target
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