saas-backend
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问题： - #2170 信任链方案在视频渲染阶段同步串行跑 Seedream AI 化（每张约5-15s） - 用户提交到出片要多等一个 Seedream i2i 耗时 - 主人反馈「分析图片很慢」「生成文案也很慢」 方案： - 抽取 ai_client.preheat_trust_chain() 独立方法 - 在阶段1（图片VLM分析）开始时，用 daemon 线程后台并行启动 Seedream i2i 预热 - 预热结果持久化到 job.pre_trusted_images 字段（新增 094 migration） - 阶段3渲染时，若预热完成直接使用 pre_trusted_images，跳过现场 Seedream i2i - 预热失败/未完成不影响主流程，自动回退到现场跑信任链兜底 - VLM分析(~5-15s) + 文案生成(~10-20s) + 用户编辑确认(~30s+)期间，Seedream i2i 在后台已完成 改动文件： - packages/shared/ai_client.py: 抽取 preheat_trust_chain() 方法；video_generation 加 pre_trusted_images 参数支持预热结果 - packages/shared/ai_service.py: 新增 preheat_trust_chain() 入口；call_video_generation 透传 pre_trusted_images - packages/domain/viral_video.py: ViralVideoJob 加 pre_trusted_images 字段 - packages/adapters/sqlalchemy_impl/models.py: ViralVideoJobModel 加 pre_trusted_images 列 - packages/adapters/sqlalchemy_impl/viral_video_repository.py: _to_domain/save/update 映射新字段 - alembic/versions/094_viral_video_pre_trusted.py: 新增列 migration - apps/worker/worker_app/tasks/viral_video.py: _start_trust_chain_preheat() 后台预热启动函数；阶段1启动预热；_step_render 使用预热结果 测试：16513 passed（2个musetalk pre-existing失败，无关）