6 Commits

Author	SHA1	Message	Date
业务服务器运维	b04a803655	feat(worker): 全GPU直连渲染，取消mezzanine CPU中间编码 ... - gpu_encoder 新增 render_inputs_to_output：多输入+filter_complex 直接交 P4000 一次出片 - 新增 gpu_direct_pipeline：原始素材/BGM 签名URL、TTS 上传、drawtext 标题/字幕、 filter_complex 完成 trim/scale/pad/concat/边缘crop/amix，末端 h264_nvenc 仅编码一次 - unified_render_service：render() 步骤4.8 接入直连，命中即出片； 不满足条件或 GPU 失败自动回退现有 mezzanine/CPU 链路；config gpu_direct_enabled 可灰度关闭 - render_adapter：_download_assets 额外返回 asset_storage_map， _do_render 给 clip 注入 _storage_key 供直连签名 消除 mezzanine 85s + 边缘裁剪 26s + 合成 2s + 中转 1s ≈ 114s CPU 开销	2026-09-28 13:30:31 +08:00
xiaoxia	8abdeb9551	fix(P0): gpu-encoder 冷启动防护 — pre-warm + 首字节短超时兜底 (#2072) ... Co-authored-by: xiaoxia <dev@xiaoxiajianji.com> Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>	2026-09-28 00:08:49 +08:00
xiaoxia	e4723bfb1b	perf(gpu): mezzanine relay直传跳过公网OSS(-18s), preset veryfast(-38%), 修复CI staging IP (#2063) ... Co-authored-by: xiaoxia <dev@xiaoxiajianji.com> Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>	2026-09-27 14:48:54 +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