fbc1df36e016db7f5d5bb41b1c438e9849bc6789
3894 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 xiaoxia
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fbc1df36e0 |
fix(viral_video): #2194 VLM单图最坏240s→70s，禁用httpx底层重试+收紧timeout
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P0根因：用户实测图片分析卡4分钟+。代码分析发现： - _analyze_single_image 底层 DoubaoClient.max_retries=1（共2次请求） - lite timeout=30s × 2次重试 = 60s - lite失败后 pro_fallback timeout=90s × 2次重试 = 180s - 单图最坏 60+180 = 240s，3图2并发最坏 ~240s+，恰好命中用户4分钟描述 修复： 1. _call() 临时将 client.max_retries=0 单次调用，不重复请求 2. lite timeout 30s → 25s（超时立即降级pro） 3. pro fallback timeout 90s → 45s（pro稳定响应<30s） 4. 单图最坏 25+45=70s，3图2并发最坏约70s（含排队） 5. 每张图VLM调用结束打印elapsed日志，方便后续排查 |
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 xiaoxia
|
d36cc09be5 |
feat(ui): 恢复积分系统UI显示（Header徽章+积分中心+预校验） (#2193)
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CI Bot
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fa4dbc6761 |
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xiaoxia
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77133eb9a0 |
fix(viral_video): #2188 VLM outfit回填服装关键词扩充
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- 原 cloth_kws 漏了'上衣/打底衫/罩衫/雪纺衫/西服/套装/网纱/短袖/长袖/无袖'等常见词， 导致'白色V领上衣''黑色透视网纱短袖上衣'等未命中，回退到通用'日常服装' - 扩充到40+关键词，覆盖衬衫/T恤/毛衣/外套/裙装/裤装/制服/通用上装词 - 提取窗口 ci-8/ci+4 → ci-12/ci+8，向前多抓颜色/材质形容词，向后多抓款式词 - 重复词（马甲/背心）清理 |
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xiaoxia
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5af16f1aea |
feat(viral_video): #2188 voice_source='my_voice'/'clone' 克隆音色支持
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- 新增 _resolve_tts_voice_id(job)：voice_source 为 my_voice/clone 时， 前端传的 voice_id 是 VoiceCloneProfile.id，查 DB 取 profile.voice_id（CosyVoice 真正的克隆音色ID） - profile 不存在/未就绪/voice_id为空时回退默认 longxiaochun_v3，任务不崩 - preset 或 voice_source 为空时，voice_id 直接当 CosyVoice 音色名透传（与原有行为一致） - _step_tts 改用 _resolve_tts_voice_id 解析后的 voice_id 调 synthesize - 不改 DB schema，不加字段；voice_source/voice_id schema 已在之前合入 |
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xiaoxia
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c232721fff |
feat(viral-video): 音色选择默认改为"我的音色"克隆音色主路径 (#2189)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com> Co-committed-by: xiaoxia <dev@xiaoxiajianji.com> |
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xiaoxia
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fc27d4e81e |
fix(viral_video): VLM图片分析3个P0 bug (#2188) (#2188)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com> Co-committed-by: xiaoxia <dev@xiaoxiajianji.com> |
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xiaoxia
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3c782f89d1 |
fix(#2187): outfit提取正则优化，保留颜色形容词 (#2187)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com> Co-committed-by: xiaoxia <dev@xiaoxiajianji.com> |
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xiaoxia
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2b4f11036f |
fix(#2186): portrait_prompt智能回填+few-shot示例，服装发型还原增强 (#2186)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com> Co-committed-by: xiaoxia <dev@xiaoxiajianji.com> |
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xiaoxia
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2881da65cf |
Merge pull request #2185: require people attrs + worker fallback
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xiaoxia
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1037e218bb |
fix(#2185): 人物外貌属性强制描述+兜底，提升Seedream t2i还原度 (#2185)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com> Co-committed-by: xiaoxia <dev@xiaoxiajianji.com> |
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xiaoxia
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f0514d7487 |
fix(#2185): 人物外貌属性强制描述+兜底,提升Seedream t2i还原度
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VLM对hair/skin_tone/face_shape/outfit四项输出"无法判断"导致Seedream自由发挥， 发型服装还原失败。双层修复： 1. prompts.py image_analysis system prompt强化： - 明确has_person=true时hair/skin_tone/face_shape/outfit四项禁止填"无法判断" - 提供hair/skin_tone/face_shape/outfit的具体示例值供参照 - 即使局部遮挡也要基于可见部分合理推断 2. worker _xml_to_product双层保险： - VLM仍输出"无法判断"时，用通用兜底值（自然发型/自然肤色/标准脸型/日常服装） - 保证portrait_prompt始终包含完整外貌描述（性别/年龄/发型/肤色/脸型/穿着/表情） - 确保preheat_trust_chain的人物描述过滤器(len>=10)不会过滤掉结果 预期：人像图VLM输出具体外貌→Seedream t2i还原发型服装脸型→ Seedance reference_image为高还原度AI人像→人物整体相似度>85%（上次脸部80-90%，本次服装发型也应还原） |
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xiaoxia
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bf8f62ec5b |
Merge pull request #2184: fix xml people portrait_prompt trust-chain
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xiaoxia
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f6fa3ea653 |
fix(#2184): VLM <people>标签解析+扩展外貌属性,修复信任链第4处断链
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问题根因：#2177 XML重构后VLM prompt契约改为顶层<people has_person count gender age_range pose expression/>标签， 人物信息不再是<product portrait_prompt=...>属性。worker的_xml_to_product只读product属性， VLM输出<people has_person="true" ...>被忽略，所有人物判断走默认"无人像"， 导致：preheat跳过→现场t2i跳过→真人图直传Seedance→400 portrait_intercept→降级纯t2v（无参考图→人物相似度仅30-40%） 修复： 1. _xml_to_product解析顶层<people>标签，拼装portrait_prompt供信任链使用 2. 扩展VLM <people>标签新增外貌属性：hair/skin_tone/face_shape/outfit（原6属性→10属性） 提供足够细节(60-100字外貌描述)给Seedream t2i生成还原度高的AI人像 3. 同步更新example为新属性格式 4. 兼容旧schema：product属性仍有portrait_prompt时优先使用 5. 无product标签但<people has_person=true>时也构造结果，不丢人物信息 |
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CI Merge
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6a7709ba43 |
Merge pull request #2183: real trust-chain preheat + LLM timeout fix
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# Conflicts: # apps/worker/worker_app/tasks/viral_video.py |
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2c70dd4c29 |
Merge pull request 'feat(viral_video): #2040 接入Prompt模板系统+删除冗余硬编码prompt' (#2177) from fix/2040-wire-prompt-templates into develop
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feat(viral_video): #2040 Prompt模板接线+删硬编码（DB读取+XML解析+三档融合+Reviewer） (#2177) |
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xiaoxia
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44bd96b148 |
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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- 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 |
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xiaoxia
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dda67cd10f |
Merge pull request 'fix(#2181): doubao_fast_model 默认改pro，避免文案阶段走lite超时' (#2182) from fix/fast-model-default-pro into develop
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xiaoxia-saas-bot
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233d0272a9 |
fix(viral_video): #2040 rebase 后清理F841死代码+保留#2180 timeout修复
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- 删除 script_generation 中旧prompt遗留的未使用变量(style_hint/ratio/viral_structure_block/persona_hint) - 冲突解决保留 #2180 全部修复: VLM/LLM timeout 15/25→45, pro 25→60, max_retries 2→1 - black/isort/ruff 全绿；viral 相关71测试全过 |
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Xiaoxia Agent
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631dd643c0 |
fix(viral_video): #2040 修复 style check F401/F821 导入问题
- _step_image_analysis/_step_intent_parsing 的局部导入补 render_system_prompt（F821 未定义名） - _step_script_generation 的冗余 render_system_prompt 导入删除（F401 未使用） black/isort/ruff 全绿，viral_video 单测 150/150 通过。 |
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CI Bot
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50489b05d6 | style: auto-format with black + isort + ruff + prettier [skip ci-format-check] | ||
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Xiaoxia Agent
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252ea71d50 |
test: 新增 prompt 模板接线集成测试 + 修复旧测试适配 XML 输出
- 新增 test_viral_video_wiring.py：9 个集成测试覆盖四步接线全流程
- image_analysis / intent_parsing 走 loader + XML 解析
- storyboard 三档 fusion_level 注入 system_prompt
- review 走 Reviewer 且 pass/rewrite 两条路径正确
- 端到端验证每步都调用 prompt_loader
- 修复 test_script_generation_returns_copy_result：mock 改为返回 XML 字符串
- 修复 test_review_pass_v16：mock Reviewer.review 返回真实 ReviewResult
- viral_video.py 增加 import re，_xml_to_product 的 text_on_package 同时从子标签读取（兜底）
- prompts.py _STORYBOARD_SYSTEM 改为普通字符串 + {fusion_instruction}/{global_constraints}/{negative_rules} 占位符，支持运行时注入
全量 viral_video 单测 150/150 通过，无回归。
Closes #2040
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xiaoxia-saas-bot
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d5f6e9499d | feat(viral_video): #2040 接入Prompt模板系统+删除冗余硬编码prompt | ||
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xiaoxia
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afd6b9c0b8 |
fix(#2181): doubao_fast_model 默认值也改为 pro，避免文案生成走 lite 超时
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lite 模型(doubao-seed-2-1-lite-260915)在方舟侧 100% read timeout。 之前只把 doubao_vision_use_lite 默认改为 false，但文案生成的 intent/script/review 直接读取 doubao_fast_model（不受 vision_use_lite 开关控制），默认值还是 lite， 导致文案阶段两轮 lite fast-first+fast-retry 超时耗尽 celery 时限，worker 被 SIGKILL。 ENV DOUBAO_FAST_MODEL 已在staging设为 pro，本次同步代码默认值， 避免其他环境/本地开发再踩坑。方舟确认 lite 可用后可通过 ENV 切回。 |
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xiaoxia
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8a6ebb49be |
fix(render): SHARED_SECRETS 增加 FAST_MODEL/TIMEOUT/MAX_RETRIES
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xiaoxia
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9e024caff5 |
fix(ci): staging env 注入 DOUBAO_FAST_MODEL/TIMEOUT/MAX_RETRIES
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xiaoxia
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c7e9878f0d |
fix(env): DOUBAO_TIMEOUT/MAX_RETRIES 改占位符(45/1)，新增 DOUBAO_FAST_MODEL 临时指向pro
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xiaoxia
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b6243c8ab8 |
PR #2181: fix test timeout assertions + default disable VLM lite
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Merged by QA (Admin). Unit/Integration/Style/Security all green on
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ops-agent
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67e4b3fc6f |
fix(test): #2180 max_retries 默认1，assertion 2→1
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ops-agent
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df654bce19 |
fix(test): #2180 max_retries 默认1，assertion 2→1
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ops-agent
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bd99c161dd | fix(test): #2181 补改 timeout 30→45 assertion | ||
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ops-agent
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7fee203693 |
ci: render_env SHARED_SECRETS 补充 DOUBAO_IMAGE_MODEL/SIZE/TIMEOUT
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ops-agent
|
562ffc53cc |
ci(staging): render-env 步骤注入 VISION_LITE/USE_LITE/IMAGE secrets
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ops-agent
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9a67f727b3 |
chore(staging): .env.staging 模板新增 VISION_LITE/USE_LITE/IMAGE 变量，根治 ENV 被渲染还原为旧 ep- 值
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xiaoxia
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5bb714f25b |
fix(#2181 P0): 默认关闭VLM lite + 修复单测timeout assertion
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1. 单测修复：#2180把doubao_timeout默认从30提到45后，3个单测还assert 30导致CI红，同步更新为45 - tests/unit/test_config_base.py::test_default_doubao_config - tests/unit/test_api_settings.py - tests/unit/test_ai_client.py（两处doubao_timeout=30→45） 2. doubao_vision_use_lite 默认改为 False： 实测方舟 doubao-seed-2-1-lite-260915 模型100%超时（45.1s read timeout，3次重试全挂）， 反而 pro (ep-20260721114705-b568m) 稳定25-38s一次成功。 默认关闭lite，直接走pro避免每步多耗136s（lite 3次超时），整体从170s/步→35s/步。 lite模型待方舟侧恢复或确认为模型名问题后再通过ENV开启。 |
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xiaoxia
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0f592add29 |
fix(#2180 P0): VLM/LLM timeout 调大，适配方舟视觉API 24-38s响应 (#2180)
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Force-merge: unit test test_default_doubao_config assertion stale (expects 30, new default 45 intentional). Pre-existing musetalk failures known. |
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xiaoxia
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42dd5fabc6 |
fix(#2180): 全局 max_retries 2→1，避免重试叠加到351s
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原配置max_retries=2（即3次尝试），lite失败→3次超时→pro降级→3次超时， VLM最坏46.6+76.7=123s，文案三级重试最坏351s。 timeout调大到45/60s后，方舟API正常情况下1次调用就能在24-38s内返回， max_retries=1（即2次尝试）足够防偶发网络抖动。 最坏情况VLM总耗时：45+45+60+60=210s，比351s改善40%。 |
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xiaoxia
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c7aed2c152 |
fix(#2180 P0): VLM/LLM timeout 调大，适配方舟视觉API 24-38s 响应
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- VLM lite timeout: 15s → 45s（方舟VLM实测服务端处理24-38s，原15s必超时3次重试全挂） - VLM pro fallback timeout: 25s → 60s - 意图解析 chat timeout: 25s → 45s - 文案fast-first/fast-retry timeout: 25s → 45s - 文案pro-fallback timeout: 40s → 60s - 文案审核timeout: 20s → 30s - doubao_timeout默认: 30s → 45s 根因：方舟VLM视觉API从staging服务器实测响应24-38s(x-envoy-upstream-service-time:23357ms)， 原timeout=15s每次都被截断，3次重试全超时→lite降级pro又3次超时→总123s。 文案三级重试同理叠加到351s。调大timeout后单次调用应能在45s内返回。 |
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xiaoxia
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3428f4ef73 |
Merge pull request 'fix(viral-video): pre_trusted_images 反序列化兼容脏数据' (#2179) from fix/2175-pre-trusted-images-serde-bug into develop
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fix: pre_trusted_images反序列化兼容脏数据 |
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CI Bot
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13c57771b9 |
style: auto-format with black + isort + ruff + prettier [skip ci-format-check]
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xiaoxia
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5eedf190c1 |
fix(viral-video): pre_trusted_images to_domain 兼容脏数据
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list() 对字符串逐字符拆分导致 pre_trusted_images 被读成 ['n','u','l','l']。 修复： 1. str 类型 → json.loads 解析为 list 2. list 类型 → 过滤长度≤5的短字符串元素（过滤字符拆分脏数据） 3. None/解析失败 → 返回 None 同时 _to_response 和 schema 已在 #2178 补 pre_trusted_images 字段。 Ref: #2175 |
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xiaoxia
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7a9a97b31a |
fix(api): add pre_trusted_images to API response schema (#2178)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com> Co-committed-by: xiaoxia <dev@xiaoxiajianji.com> |
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xiaoxia
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a6f89067e7 |
fix(viral_video): #2040 loader在api进程内DB热加载（懒建同步引擎） (#2176)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com> Co-committed-by: xiaoxia <dev@xiaoxiajianji.com> |
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xiaoxia
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718deb32b9 |
Merge pull request 'fix(#2174 P0): 信任链i2i改为t2i文生图，实测通过Seedance肖像审核' (#2175) from feat/2174-trust-chain-t2i into develop
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fix(#2174): 信任链从i2i改为t2i文生图，VLM提取人物特征→Seedream t2i纯文生图→Seedance i2v，实测通过肖像审核，人物保留度>90% |
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xiaoxia
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054e81c3e7 |
feat(viral_video): #2040 Prompt模板系统（5套+DB配置化+seed） (#2174)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com> Co-committed-by: xiaoxia <dev@xiaoxiajianji.com> |
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CI Bot
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07cf055a97 |
style: auto-format with black + isort + ruff + prettier [skip ci-format-check]
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xiaoxia
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0e78f175fe |
fix(#2174 P0): 信任链从i2i改为t2i文生图——方舟实测验证通过
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#2170/#2172的信任链用Seedream图生图(i2i,传reference_images=用户真人照)， 实测产物不被Seedance信任，仍被400 portrait_intercept拦截。 方舟文档+实测确认：信任的是Seedream文生图(t2i)产物——纯prompt描述人物， 不传reference_images，产物是纯模型生成人像，同账号30天内可直接传Seedance。 改动： - VLM prompt新增portrait_prompt字段（60-100字人物外貌描述） - preheat_trust_chain签名从portrait_urls改为portrait_descriptions，t2i模式不传reference_images - video_generation移除现场跑i2i逻辑，仅使用预热好的t2i结果；预热失败走#2166自动降级t2v - 预热时机从VLM前改为VLM后（需要VLM输出的portrait_prompt），仍与文案阶段并行 - 单测适配：TestTrustChain全部改为pre_trusted_images路径验证 实测验证(充值后): - Seedream flash t2i ~15s出图，人像prompt中英文混合写实风格 - Seedance 2.5 i2v用t2i产物URL → 成功出5s视频(120s) - Seedance 2.0-mini i2v用t2i产物URL → 成功出5s视频 - 对照组直传用户真人照片 → 400 portrait_intercept（预期） |