5 Commits

Author	SHA1	Message	Date
CI Bot	5e045a14f6	style: auto-format with black + isort + ruff + prettier [skip ci-format-check]	2026-09-27 06:34:51 +00:00
CI Bot (saas-backend-agent)	4416400f16	perf(gpu): mezzanine relay直传跳过公网OSS,CPU preset veryfast,修复CI staging SSH目标 ... ## GPU mezzanine relay直传（核心优化） - 新增 relay /mezzanine/{key} 接口(PUT/GET/HEAD/DELETE)，复用token鉴权 - gpu_encoder 默认走 relay PUT 上传 mezzanine（Tailscale/Docker内网，~1s完成） - relay上传失败自动fallback到公网OSS，兼容未配Tailscale的环境 - P4000 从 relay_base_url(:8092) GET mezzanine，跳过OSS下载 - 节省公网OSS上传+下载18-20s固定延迟，短视频(1min)GPU路径终于比CPU快 - 新增 GPU_ENCODE_MEZZANINE_TRANSPORT 配置(relay|oss)，默认relay ## CPU编码preset - FFMPEG_ENCODE_PRESET 默认 fast→veryfast，60s720p CPU编码32s→20s(~38%提速) ## CI staging部署修复 - STAGING_SSH_HOST 默认值恢复为 116.62.226.203（真实staging机，DNS指向的机器） - STAGING_SSH_PORT 默认值 22222→22 - scripts/ci_staging_healthcheck.sh 同步更新 - 注：47.98.113.167 是prod机，之前误设为staging目标导致部署打偏	2026-09-27 14:14:50 +08:00
xiaoxia-agent	30f16c4771	fix(gpu-encoder): split relay_base_url into external/internal URLs ... - Add gpu_encode_relay_internal_base_url config (Docker DNS: http://xiaoxia-api-staging:8000) - P4000 PUT uses external URL via nginx (host:8092 plain HTTP to avoid SSL issues) - Worker GET/DELETE uses internal URL (direct Docker network, bypasses UFW/nginx) - Falls back to relay_base_url when internal URL not set (local dev) On staging: - New nginx vhost on :8092 provides plain HTTP proxy for P4000 relay PUTs - Docker network worker→API reachable at xiaoxia-api-staging:8000 (verified)	2026-09-26 20:43:21 +08:00
CI Bot	39c064ba1c	style: auto-format with black + isort + ruff + prettier [skip ci-format-check]	2026-09-26 20:43:21 +08:00
saas-backend-agent	105ab54059	feat(gpu): 接入 P4000 NVENC 硬件编码加速 ... - packages/config/base.py: 新增 GPU_ENCODE_* 配置项（开关/endpoint/relay/secret/编码参数/fallback） - packages/shared/gpu_encoder.py: 新增 GpuEncoderClient，封装 health 探测 + mezzanine 上传 OSS + P4000 nvenc 编码 + relay 回传下载，失败抛 GpuEncodeError 触发 CPU 降级 - apps/api/app/api/routes/gpu_relay.py: 新增 internal PUT/GET/DELETE /api/v1/internal/gpu-relay/{key}（token 鉴权），P4000 PUT 编码结果，worker GET 下载 - apps/api/app/api/router.py: 注册 gpu_relay_router - apps/worker/video_processing/unified_render_service.py: _execute_ffmpeg 和 _render_pass_through 尝试 GPU 路径：CPU ultrafast mezzanine → P4000 nvenc → 输出到最终路径；任何失败自动回退到原 CPU libx264 路径 - apps/worker/worker_app/tasks/_startup.py: worker_ready 时探测 P4000 健康并打日志 - tests/unit/test_gpu_encoder.py: GpuEncoderClient 单测（health/sync 调用/失败/fallback/relay URL） 架构： - 输入：CPU 输出 libx264 ultrafast mezzanine → 上传 OSS 临时前缀 → P4000 签名 URL 下载 - 输出：P4000 PUT → 宿主机 nginx（tailscale:80）→ API /api/ 反代 → gpu_relay 路由落盘到 generated/gpu_relay/ - 回传：worker 通过 docker 网络 http://xiaoxia-api-staging:8000 GET 下载最终 mp4 到 output_path - 降级：GPU 任何环节异常（health/上传/编码/回传/下载）→ 原 CPU 路径继续执行，不影响成片	2026-09-26 20:43:21 +08:00