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xiaoxia 5d6a4675fb feat(viral-video): 动态积分定价(按tokens×单价×1.3,保留两位小数) (#2152)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-10-03 00:20:20 +08:00
xiaoxia 70aeb5e642 fix(viral-video): P0 渲染卡死 + P1 VLM lite 快速降级(v1.6.1)
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P0 根因修复(v9 渲染卡死 20+ min):
1. Seedance 2.5 content 数组协议错误:之前把参考音频/视频放在顶层 reference_audios/reference_videos(非官方字段),
   且首帧图不带 role 导致服务端识别为 first_frame 模式(该模式强制 ratio=adaptive),传入 ratio=9:16 导致任务
   静默排队/失败轮询到 900s 超时。
2. 修复:所有参考(图/音/视)放进 content 数组并带正确 role(reference_image/reference_audio/reference_video);
   首张图根据是否有额外参考自动选择 first_frame vs reference_image 模式。
3. ratio 智能选择:纯首帧无参考→adaptive;omni_reference→按用户 ratio(默认 9:16);
   若创建任务因 ratio 返回 HTTP 400,自动回退 adaptive 重试一次。
4. 轮询 total_timeout 从 900s 收紧到 480s(8min),下载超时 120s;
   celery 任务加 soft_time_limit(render 660s/analyze 240s/generate_copy 180s/pipeline 900s)防挂死。
5. 轮询每 5 次打一次 info 日志,失败时完整打印 error.code/message。
6. _hb_stop 提前声明避免 finally UnboundLocalError。

P1 VLM lite 快速降级:
- lite timeout 从 45s 收紧到 15s,pro 降级固定 25s,总耗时 ≤40s(之前 45+60≈100s)。
- 日志:创建任务时打印 mode(first_frame/omni_ref)、ratio、参考数量。
2026-10-02 16:34:56 +08:00
xiaoxia ad686dcd8b fix(viral-video): P1 VLM模型ID/僵尸任务心跳/文案兜底/P2 ratio映射/OSS一致性
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P1-1: VLM lite/pro模型ID修正(250915→250315/250328),根因是旧ID不存在导致lite必然超时降级pro
- packages/config/base.py: doubao_vision_model/pro/lite 改为火山方舟官方正确ID
- packages/shared/ai_client.py docstring同步更新
- apps/worker/worker_app/tasks/viral_video.py 硬编码字符串同步
- .env.example 同步新ID

P1-2: worker心跳+僵尸任务超时回收
- packages/domain/viral_video.py: 新增heartbeat_at字段+touch_heartbeat()方法
- packages/adapters/sqlalchemy_impl/models.py: ViralVideoJobModel加heartbeat_at列(index=True)
- packages/adapters/sqlalchemy_impl/viral_video_repository.py: to_entity/save/update映射heartbeat_at
- alembic/versions/092_viral_video_heartbeat.py: 幂等迁移,加列+index+给已有running任务初始化
- apps/worker/worker_app/tasks/viral_video.py:
  - 新增_start_heartbeat_thread后台线程,每25s独立session更新heartbeat_at
  - 新增_recover_stale_jobs(): running>10min且心跳>2min未更新→自动标记failed
  - pipeline/analyze/generate_copy/render四个celery任务接入心跳启停+启动时回收僵尸
- apps/api/app/api/routes/viral_video.py: retry接口放宽,允许对超时僵尸任务重试

P1-3: 文案生成质量与兜底修复
- 兜底脚本'很近'→'最近'(之前commit已改)
- _step_script_generation 三级重试: fast(0.8/2500tok)→fast(0.6/3200tok)→pro(0.7/3500tok)
- 新增fallback判定:口播<20字/含兜底特征串/镜头数<1才视为降级,避免正常短脚本误判
- prompt关键要求新增'输出前自检:口播禁止错别字和语病'
- 关键路径打info日志(模型/label/口播长度/镜头数/是否兜底),便于后续排查

P2-1: Seedance图生视频ratio不生效导致9:16出1:1
- 根因: 旧逻辑Bug #2110在image_url存在时不传ratio,模型默认adaptive→首帧方图商品图输出1:1
- 官方文档确认图生视频支持ratio参数,模型会自动居中裁剪首帧
- packages/shared/ai_client.py+ai_service.py: 删除image_url判空,始终传ratio
- 同步更新docstring注释

P2-2: OSS成片eventual consistency导致completed后NoSuchKey
- apps/worker/worker_app/tasks/viral_video.py: 新增_wait_oss_ready(url,timeout=10s)
- mark_completed前循环HEAD公网URL,等200+content-length>0或10s超时

测试: viral-video相关97个单测全部通过,仅更新test_passes_reference_params_to_client以反映新ratio透传行为
2026-10-02 14:05:48 +08:00
xiaoxia 2a739dee17 fix(viral-video): #2134 generate-copy 提速 + 细粒度 phase/phase_message
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问题7(generate-copy 提速,目标 30-40s):
- 新增 doubao_fast_model 配置(默认 doubao-1-5-pro-32k-250115),结构化输出任务(意图解析/编导脚本/合规审核)改用快模型,不再使用慢推理模型 doubao-seed-1-6
- call_llm 扩展支持 model/max_tokens/system_prompt 参数;chat_completion 同步支持 model 覆盖
- 编导脚本 temperature 0.8 + max_tokens 2500(从 4096 收紧);意图解析 max_tokens 800;审核 max_tokens 500
- _SCRIPT_GENERATION_PROMPT 精简冗余描述(前导说明和关键要求章节从 ~70 行压到 ~30 行),减少输入/输出 token
- 合规审核异步后置:阶段2 generate-copy 只做关键字黑名单快速检查(不调用 LLM),LLM 深度审核移到阶段3 confirm-copy TTS 之前执行,不再阻塞前端展示脚本
- 新增 _quick_compliance_blacklist_check 处理常见广告法绝对化用语

问题8(细粒度 phase + phase_message):
- ViralVideoJob 新增 phase_message 字段(中文提示文案,前端轮询直接展示)
- SQLAlchemy ViralVideoJobModel 新增 current_stage/phase_message 列(current_stage 原已有但未持久化更新)
- repo 层 _to_domain/save/update 同步处理新字段
- alembic 090 迁移:幂等 ADD COLUMN phase_message VARCHAR(500)
- 新增 _set_stage 辅助:统一设置 current_stage + phase_message + Redis 推送 + DB 持久化
- 所有 celery task(analyze/generate-copy/render/one-click/resume)在关键节点调用 _set_stage 持久化阶段信息
- 阶段文案:analyzing_images→正在分析商品特征 / parsing_intent→正在解析文案意图 / generating_script→正在编排分镜脚本 / reviewing→合规审核中 / tts→正在合成AI配音 / rendering→正在生成视频 / uploading→正在上传视频
- ViralVideoJobResponse schema + _to_response 增加 current_stage/phase_message,前端轮询 GET /{job_id} 直接拿到

配套:
- .env.example + render_env.sh SHARED_SECRETS 补 DOUBAO_FAST_MODEL
- tests _FakeSettings/_make_job 同步新增字段
- _run_render_pipeline 兜底补生成分支不再同步调用 _step_review(由出片前统一审核处理)
2026-10-02 11:01:01 +08:00
xiaoxia 6b75eb5f67 feat(viral-video): VLM提速(lite+并行) + 商品描述增强(6维度+summary) + 爆款结构19选注入 (#2133)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-10-02 10:35:21 +08:00
xiaoxia 649420bd35 feat(viral-video): v1.6 单次Seedance出片+编导分镜脚本 #2124
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- 输出从营销口播文案改为专业编导分镜脚本(CopyResult v1.6:overview/scene_and_lighting/shots/hard_constraints/negative_prompts/voiceover_script)
- 新 SCRIPT_GENERATION 阶段替代原 copy_fusion+storyboard+review,prompt 指导 LLM 输出严格 JSON 结构
- pipeline 简化为4步:图片分析 → 编导脚本 → TTS整段合成(上传OSS做reference_audios) → 单次Seedance出片 → 上传
- 删除:多段分镜拆分、ffmpeg concat拼接、placeholder占位视频、分段重试降级、BGM单独混音(Seedance generate_audio=true原生合成音效/BGM)
- ai_client/ai_service video_generation 支持 reference_images/reference_audios/reference_videos/generate_audio 参数
- duration 默认15秒,上限30秒;前端时长下拉 5/10/15/20/25/30s
- 首帧图模式不传 ratio(保持 #2110 修复)
- Alembic migration 088 幂等添加 voice_id/voice_source/video_ratio/video_model/copy_result 五列
- _step_image_analysis call_vision() 全路径 None 防护
- 向后兼容:final_copy=voiceover_script、storyboard=shots、老数据 _build_copy_result 降级拼装
- TS types 更新 CopyResult v1.6 结构 + ShotScript/Overview
- 96个 viral 相关单测全通过
2026-10-01 13:55:31 +08:00
xiaoxia 3a8ef857ac fix(vlm): call_vision 走视觉模型而非文本模型 + 图片分析 prompt 结构化强化
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根因(VLM 牛头不对马嘴):packages/shared/ai_service.call_vision() 之前误用
client.chat_completion(文本模型 doubao-seed-1.6-250615)发送多模态 content list。
文本模型不认图片 content type → 返回 None → _step_image_analysis 的 except
静默吞掉 → fallback 到占位结果 {name:'未识别'} → 后续 intent/copy/storyboard
完全没图信息,自然胡编。

修复:
1) call_vision 改用 client.vision_completion(模型 doubao-1-5-vision-pro-250915),
   走标准 OpenAI 多模态 chat/completions + image_url 格式
2) 超时提到 60s,温度降到 0.2,解析 ```json 代码块包裹
3) 增加详细 INFO 日志:打印 vision_model/image_url/prompt_len/原始返回前 400 字,
   方便下次直接在 worker 日志排查
4) 重写 _IMAGE_ANALYSIS_PROMPT:强制结构化 JSON schema(category/name/brand/colors/
   material_or_texture/key_features/visual_style/scene/target_audience_hint/
   text_on_image),明确『无法判断就填无法判断,不许编造』,key_features
   只能写外观可见特征、不许编功效
5) _step_image_analysis 健壮化:images 为空/None/文本返回/异常分别落 _source 标记;
   每张图独立 try/except,单张失败不影响其他图
6) 下游 intent_parsing/copy_fusion/storyboard 兼容新字段 key_features/brand/
   category/colors/visual_style(同时向后兼容旧 features 字段)
2026-10-01 10:06:59 +08:00
xiaoxia cdce1b2e10 fix(viral-video): fix 6 E2E bugs — fusion_level alias, concat silent segments, ingest lookup, duplicated URL, TTS voice/format, Seedance first-frame ratio
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Bug1 (P0): schema accepts 'full_ai' as alias for 'ai_full' (Pydantic field_validator normalizes)
Bug2 (P0): concat_video_files probes each segment audio stream; Seedance gen_audio=False
       segments now marked has_audio=False so concat filter uses aevalsrc silence instead
       of failing with ffmpeg exit 234
Bug3 (P1): find_by_storage_key now queries (storage_key OR file_url) to cover historical
       data where the legacy file_url column held assets/<project>/<date>/... paths
Bug4 (P1): duplicated-hit response no longer accesses non-existent domain Asset.file_url;
       new helper _get_existing_asset_url uses storage_key (fallback file_url) through
       storage_service.get_url()
Bug5 (P1): _step_tts passes job.persona_id as voice_id (default longxiaochun_v3) and
       forces format='mp3' so downstream ffmpeg -map 1:a:0 works regardless of provider
Bug6 (P1): call_video_generation omits ratio param in first-frame (image_url) mode;
       ai_client.video_generation ratio becomes Optional[str] and is omitted from payload
       when None, fixing 400 InvalidParameter from Seedance
2026-10-01 04:10:06 +08:00
xiaoxia d08835ec9f fix(viral-video): #2106 P0 渲染阻塞修复 + Seedance 2.5 对接 + image_analysis 持久化
P0-1: Seedance 2.5 视频生成对接
- packages/shared/ai_client.py: DoubaoClient 新增 video_generation(prompt, image_url, duration, ratio, ...)
  方法:走方舟 /contents/generations/tasks 异步任务(submit→poll→download),返回本地 MP4 路径
- packages/shared/ai_service.py: 新增 call_video_generation() 高层封装
- packages/config/base.py: 新增 doubao_video_model/doubao_video_timeout/doubao_video_poll_interval 配置
- apps/worker/.../viral_video.py _step_render 重写:按 storyboard 分镜逐段调 Seedance 生成短视频
  → ffmpeg concat 拼接 → 混入 TTS 音频(-map 0:v/1:a -shortest -c:v copy)
- 单分镜失败自动用 ffmpeg color 源占位片段兜底,保证 concat 不中断
- 新增 _normalize_storyboard/_fallback_storyboard/_build_segment_prompt/_probe_ok/_make_placeholder_clip
  等辅助函数

P0-2: _step_video_analysis import 路径修复
- from worker_app.tasks.viral_video_analyzer → from viral_video.video_analyzer import analyze_video_style
  (文件在 apps/worker/viral_video/video_analyzer.py,worker PYTHONPATH 包含 apps/worker)
- ImportError 仍兜底返回占位 style_guide,不阻塞流水线

P0-3: image_analysis 持久化
- packages/domain/viral_video.py: ViralVideoJob 新增 image_analysis: dict|None 字段
- packages/adapters/sqlalchemy_impl/models.py: viral_video_jobs 加 image_analysis JSON 列
- packages/adapters/sqlalchemy_impl/viral_video_repository.py: _to_domain/save/update 同步该字段
- alembic/versions/087_viral_video_image_analysis.py: migration 087
- run_viral_video_pipeline: step1 后立即 job.image_analysis = image_analysis 并 _save_job
- resume_viral_video_pipeline: 从 job.image_analysis 读取,不再硬编码空 dict

P1 顺手修复:
- _step_tts: 返回值统一为 Path|None,Path 不存在/ImportError/synthesize 失败均返回 None
- _step_bgm_select: BGM 素材未就绪前统一返回 None,渲染时跳过 BGM 混音
- _step_musetalk: GPU 端点未就绪前(即使有 persona_id)也直接跳过,不发 HTTP 请求
- TTS 工厂 import 路径修正: worker_app.services.tts_service_factory → services.tts_service_factory
- credits_cost 赋值保留 TODO(等 credits.deduct() 总开关)
- tests/unit/test_viral_video.py: BGM/TTS mock 对齐新返回语义
- tests/unit/test_viral_video_p0.py: 新增 15 个单测覆盖 video_analysis/storyboard 规范化/
  TTS Path 处理/BGM None/MuseTalk 跳过/call_video_generation 委托/placeholder clip/resume 读 job
2026-09-30 19:06:33 +08:00
xiaoxia 6636dc45f7 feat(#2039): viral video domain + repository + REST API + Celery orchestrator(PR2/2)
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- domain: ViralVideoJob 状态机(PENDING/RUNNING/WAIT_USER_CONFIRM/COMPLETED/FAILED/CANCELLED)、
  11 阶段枚举、PromptType 7 值(含 v1.3 video_style_integration/style_constraint)
- repository: 接口 + SQLAlchemy 实现(jobs/style_templates/prompt_templates)
- API: 6 个 REST 端点(generate/history/detail/retry/confirm-intent/analyze-style/style-templates)
- Celery: ViralVideoOrchestrator 10 步流水线,WS viral_video:progress 进度推送,
  Credits CREDITS_VIRAL_VIDEO_COST=50 扣点/失败自动回滚
- ai_service: 新增 call_llm/call_vision(复用现有豆包客户端)
- 测试 40 个单测(domain/schema/repository/流水线/集成)
2026-09-29 22:22:04 +08:00
xiaoxia 53fb25efcf fix(#1834): 批量修复 UP 系列静态分析警告(UP007/UP006/UP017/UP035) (#1928)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-15 12:59:17 +08:00
xiaoxia 0301370dd8 refactor: 统一封面生成管道 — 从渲染后视频抽帧作为封面 (#1371)
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2026-08-14 22:16:00 +08:00
xiaoxia 21e84c71c4 perf: render-time cover frame pre-extraction + FFmpeg fallback, remove MediaKit (#1360)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-08-13 20:51:02 +08:00
xiaoxia 68fa7fd163 fix(cover): 修复 OSS 路径双斜杠导致 MediaKit 404 (#1357)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
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2026-08-13 17:51:00 +08:00
xiaoxia 7ba46cb9c0 fix(cover): 封面生成前校验视频URL可达性,避免MediaKit超时120秒 (#1356)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-08-13 15:36:00 +08:00
xiaoxia cd6fde790a perf(#1341): 封面生成改用 TimeInterval 策略(避免 OOM,提高稳定性) (#1351)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-08-13 00:36:00 +08:00
xiaoxia 7b9e803603 fix(#1341): 增强封面生成错误日志和前端提示 + ESLint 修复 + prettier 格式化 (#1347)
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2026-08-12 22:28:38 +08:00
CI Bot 6c14170b94 style: auto-format with black + isort + prettier [skip ci-format-check]
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2026-08-11 10:26:49 +00:00
CI Bot 3d5438a3af fix: cover generation full-chain fix — bare URL, remove stub fallback, clean dead code
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- cover.py: use get_url() (bare URL) instead of get_download_url() (signed URL)
  to avoid OSS sign_url encoding / as %2F causing 403
- ai_service.py: remove SVG stub fallback in _call_ai_cover_service(),
  raise RuntimeError with clear error message instead
- cover.py: wrap run_generate_cover() in try/except RuntimeError → HTTPException
- schemas.py: remove unused CoverGenerateResponse class
- Note: rendered/* OSS public read must be configured for bare URL to work
2026-08-11 18:22:23 +08:00
CI Bot 7b534c950b fix(cover): increase MediaKit timeout + use public URL + extend frontend timeout
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Three fixes for cover generation:
1. cover.py: get_download_url -> get_url for video URL (OSS public read)
2. ai_service.py: extract_frames poll_interval=3.0, max_poll_attempts=60 (180s)
3. aiFeatures.ts: generateCover axios timeout 10s -> 180s
2026-08-11 16:09:07 +08:00
CI Bot ebd67c1b7d fix: 封面URL回退为裸URL,OSS已开公开读
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OSS桶 xiaoxia-autocut 已对 covers/ 路径开放公开读权限,
封面URL不再需要签名,回退 storage.get_url(cover_key)。

 revert 3e14a0d4
2026-08-11 13:33:36 +08:00
CI Bot 3e14a0d462 fix: 封面URL改用签名URL,OSS桶非公开读
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storage.get_url() 只拼接裸URL,浏览器无法访问。
改用 storage.get_download_url(cover_key, expires_seconds=86400)
生成24小时有效的签名URL。
2026-08-11 13:10:28 +08:00
CI Bot cfea86e25a style: auto-format with black + isort + prettier [skip ci-format-check]
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2026-08-11 03:55:19 +00:00
CI Bot 759a7e0508 fix: 封面预览 broken image — MediaKit帧图转存OSS返回公开URL
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根因:MediaKit extract_frames 返回的 image_url 是内部临时 URL,
浏览器无法直接访问,导致封面预览显示 broken image。

修复:新增 _transfer_cover_frame_to_storage(),在 MediaKit 抽帧
成功后下载帧图并重新上传到 OSS,返回公开可访问的 URL。
失败时降级返回原始 URL(不影响流程)。

78个相关单测全部通过。
2026-08-11 11:50:10 +08:00
CI Bot b155db260a fix: 封面生成 stub 返回 SVG data URI 占位图替代不存在的 placeholder API
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根因:_call_ai_cover_service 降级到 stub 时,image_url 返回
/api/v1/assets/placeholder/cover?plan={plan_id},该端点不存在,
浏览器 404 加载失败,显示 broken image。

修复:
- manual 模式和 AI stub 模式的 image_url 改为 SVG data URI
  占位图(1080x1920,深色背景 + 提示文字),前端可直接渲染
- 不依赖任何后端端点,无需网络请求
2026-08-10 15:57:07 +08:00
xiaoxia 3e24f8de4a fix: MediaKit 重试逻辑 + TimeInterval默认策略 + 错误日志增强 (#1227)
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2026-08-03 13:51:27 +08:00
xiaoxia 82bc193693 feat: #1209 AI智能选片段接入MediaKit视频理解
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- MediaKitClient 新增 analyze_videos() 方法,调用视频理解智能策略 API
- _call_ai_recommend_service 支持 asset_analyses 参数,将视频内容分析注入 prompt
- API 路由层自动获取素材 URL 并调用 MediaKit 分析视频内容
- LLM 可根据视频实际内容做智能编排(叙事连贯、场景匹配等)
- 降级策略:MediaKit 不可用时保持原有 fallback 行为
- 15 个新单元测试全部通过
2026-08-03 09:43:34 +08:00
xiaoxia 92b29de511 feat: #1208 AI封面接入MediaKit视频截帧 (#1214)
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2026-08-02 01:14:02 +08:00
xiaoxia 30457629da fix(ci): fix preview deploy frontend build - remove DooD, use direct runner (#919)
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2026-07-26 12:58:22 +08:00
xiaoxia 389d1e4401 refactor(#775): 禁止API直接调用Worker任务函数,必须走Celery队列或shared层 (#786)
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