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fix(#2183): 信任链真·现场t2i + preheat接线分步任务 + portrait_intercept降级纯t2v + LLM timeout调大 #2183

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xiaoxia commented 2026-10-04 21:38:52 +08:00
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问题

人像E2E失败，信任链3处断链：

  1. _start_trust_chain_preheat 只在旧合并pipeline调用，新分步task run_viral_video_analyze / run_viral_video_generate_copy 没接 → pre_trusted_images永远None
  2. _step_render打『现场跑信任链』日志但实际不跑t2i，直接传原图 → 真人照直接送Seedance
  3. portrait_intercept（HTTP 400）4xx不重试，也无『去掉参考图纯t2v』降级 → 必失败

额外问题：pro chat实测1500tok输出需75.8s，_step_script_generation硬编码45s必超时走兜底，job1超5分钟。

修改

信任链3处修复

  1. 接线preheat到分步task：run_viral_video_analyze VLM完成后立即启动 _start_trust_chain_preheat daemon，与后续阶段并行（与旧pipeline同样逻辑）
  2. 真·现场t2i：_step_render 预热不可用时同步调用 preheat_trust_chain(portrait_descs, timeout=120)，成功则用AI人像URL替换原图传Seedance
  3. 400 portrait_intercept自动降级纯t2v：ai_client.video_generation ratio兜底后检查是否portrait拦截，是则移除所有image/audio/video参考，只留text重试一次纯文生视频

三层兜底：后台预热（正常路径）→ 现场同步t2i（预热未完成/失败）→ 400降级纯t2v（最后保底），保证人像链路必出片。

LLM timeout调大

  • _step_script_generation：fast-first/fast-retry 45→90s，pro-fallback 60→120s（实测pro长输出75s）
  • _step_intent_parsing：45→60s
  • _step_review：30→45s
  • generate_copy celery时限：soft=360→600s, hard=420→660s（三级重试最坏90+90+120+intent60+review45≈405s）

E2E目标

  • VLM单次pro ≤60s（实测25-50s）
  • intent+script单次pro ≤90s（不再超时走三级重试）
  • 人像图：VLM输出portrait_prompt → preheat daemon启动 → render时pre_trusted已就绪 → Seedance收到AI人像URL → 人物相似度>85%，无50411
  • 商品图（非人像）：VLM输出『无人像』→ preheat跳过 → render直接原图走first_frame/omni_ref

关联

  • 依赖 #2180/#2181/#2182（timeout初调、lite默认关闭、fast_model默认pro）已合入
  • staging ENV已持久化（DOUBAO_TIMEOUT=45, MAX_RETRIES=1, USE_LITE=false, FAST_MODEL=pro）
## 问题 人像E2E失败，信任链3处断链： 1. `_start_trust_chain_preheat` 只在旧合并pipeline调用，新分步task `run_viral_video_analyze` / `run_viral_video_generate_copy` 没接 → pre_trusted_images永远None 2. `_step_render`打『现场跑信任链』日志但实际不跑t2i，直接传原图 → 真人照直接送Seedance 3. portrait_intercept（HTTP 400）4xx不重试，也无『去掉参考图纯t2v』降级 → 必失败 额外问题：pro chat实测1500tok输出需75.8s，_step_script_generation硬编码45s必超时走兜底，job1超5分钟。 ## 修改 ### 信任链3处修复 1. **接线preheat到分步task**：`run_viral_video_analyze` VLM完成后立即启动 `_start_trust_chain_preheat` daemon，与后续阶段并行（与旧pipeline同样逻辑） 2. **真·现场t2i**：`_step_render` 预热不可用时同步调用 `preheat_trust_chain(portrait_descs, timeout=120)`，成功则用AI人像URL替换原图传Seedance 3. **400 portrait_intercept自动降级纯t2v**：`ai_client.video_generation` ratio兜底后检查是否portrait拦截，是则移除所有image/audio/video参考，只留text重试一次纯文生视频 三层兜底：后台预热（正常路径）→ 现场同步t2i（预热未完成/失败）→ 400降级纯t2v（最后保底），保证人像链路必出片。 ### LLM timeout调大 - `_step_script_generation`：fast-first/fast-retry 45→90s，pro-fallback 60→120s（实测pro长输出75s） - `_step_intent_parsing`：45→60s - `_step_review`：30→45s - `generate_copy` celery时限：soft=360→600s, hard=420→660s（三级重试最坏90+90+120+intent60+review45≈405s） ## E2E目标 - VLM单次pro ≤60s（实测25-50s） - intent+script单次pro ≤90s（不再超时走三级重试） - 人像图：VLM输出portrait_prompt → preheat daemon启动 → render时pre_trusted已就绪 → Seedance收到AI人像URL → 人物相似度>85%，无50411 - 商品图（非人像）：VLM输出『无人像』→ preheat跳过 → render直接原图走first_frame/omni_ref ## 关联 - 依赖 #2180/#2181/#2182（timeout初调、lite默认关闭、fast_model默认pro）已合入 - staging ENV已持久化（DOUBAO_TIMEOUT=45, MAX_RETRIES=1, USE_LITE=false, FAST_MODEL=pro）
xiaoxia added 1 commit 2026-10-04 21:38:54 +08:00
fix(#2183): 信任链真·现场t2i+preheat接线+portrait_intercept降级纯t2v+timeout调大
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44bd96b148 
- 信任链3处断链修复：
  1. run_viral_video_analyze VLM完成后立即启动_start_trust_chain_preheat（后台daemon与文案阶段并行）
  2. _step_render 预热不可用时真·同步调用Seedream t2i（而非打假日志直接传原图），120s超时
  3. ai_client.video_generation遇到portrait_intercept 400时自动移除所有参考图降级纯t2v重试一次
- LLM timeout调大（实测pro 1500tok输出需75.8s）：
  - _step_script_generation: fast-first/fast-retry 45→90s, pro-fallback 60→120s
  - _step_intent_parsing: 45→60s
  - _step_review: 30→45s
- generate_copy celery时限放宽：soft=360→600s, hard=420→660s（三级重试最坏~405s）
- 三层兜底：后台预热→现场t2i→400纯t2v，保证人像链路必出片
gitea-actions bot commented 2026-10-04 21:44:37 +08:00
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PR号 #2183
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🚀 **预览环境已部署** | 项目 | 详情 | |------|------| | PR号 | #2183 | | 预览链接 | [https://pr-2183.preview.xiaoxiajianji.com](https://pr-2183.preview.xiaoxiajianji.com) | | API环境 | staging | > 💡 预览环境使用 staging API 数据，请勿在预览环境中操作重要数据。 > > 🔄 每次提交新代码后预览环境会自动更新。 > > 🗑️ PR 关闭或合并后，预览环境会自动清理。
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Reference: xiaoxia/xiaoxia-saas#2183
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