Compare commits
9 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| 478c9c2bc3 | |||
| bcbcb41750 | |||
| 4c03e05e6c | |||
| 6cdb70bb61 | |||
| ed09794f4d | |||
| 52664f7168 | |||
| 0469272bd6 | |||
| 6638f8b29e | |||
| 794793f992 |
@@ -420,42 +420,77 @@ def create_preview_generation_task(
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logger.error("[预览生成] 创建失败: %s", e, exc_info=True)
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raise HTTPException(status_code=500, detail="创建预览生成任务失败,请稍后再试") from e
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# ── 克隆独立变体 plan:N 个预览全部克隆(预览不污染源 plan)──
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# 源 plan 不存在(无编辑历史)时各任务走自身随机选片流程,不克隆。
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# ── 独立变体 plan(#1743)──
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# count=1:克隆源 plan(预览不污染源 plan,仅起点重算),行为与旧版一致;
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# count>1:变体 0 保留源 plan,变体 1..N-1 用 reselect_plan_for_variant 完整
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# 重跑单视频选片(素材洗牌+镜头洗牌+起点随机+跨变体避让+批次 20% 重叠重选),
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# 所见即所得——预览变体差异即正式成片差异。
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source_plan_id = created_tasks[0].source_edit_plan_id if created_tasks else ""
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if source_plan_id:
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if source_plan_id and count == 1:
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# 单预览:克隆一份(原逻辑)
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try:
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from app.services.edit_plan_service import EditPlanService
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_plan_svc = EditPlanService(db)
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for variant_index in range(count):
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variant_plan = _plan_svc.clone_plan_for_variant(
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source_plan_id,
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created_by_user_id=user_id,
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name_suffix="预览变体",
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)
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variant_plan_ids.append(variant_plan.id)
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except Exception as e:
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logger.error("[预览生成] 克隆预览 plan 异常: %s", e, exc_info=True)
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for t in created_tasks:
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_mark_task_failed(generation_task_repository, t, "预览计划创建失败")
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raise HTTPException(
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status_code=500,
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detail="创建预览任务失败:无法生成独立剪辑计划,请重试",
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) from e
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elif source_plan_id and count > 1:
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try:
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from app.services.edit_plan_service import EditPlanService
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_plan_svc = EditPlanService(db)
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# 变体 0 直接用源 plan;变体 1..N-1 独立选片
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variant_plan_ids.append(source_plan_id)
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batch_asset_pool = list(dict.fromkeys(request.asset_ids or []))
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for variant_index in range(1, count):
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last_err: Exception | None = None
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variant_plan = None
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for _attempt in range(2): # 1 次重试,抗 DB 瞬时抖动
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try:
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variant_plan = _plan_svc.clone_plan_for_variant(
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variant_plan = _plan_svc.reselect_plan_for_variant(
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source_plan_id,
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batch_asset_pool,
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created_by_user_id=user_id,
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name_suffix=f"预览变体{variant_index + 1}" if count > 1 else "预览变体",
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name_suffix=f"预览变体{variant_index + 1}",
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)
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break
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except Exception as clone_err: # noqa: PERF203
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last_err = clone_err
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except ValueError as ve:
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logger.warning("[预览生成] 变体独立选片失败(素材不足): %s", ve)
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for t in created_tasks:
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_mark_task_failed(generation_task_repository, t, "预览变体选片失败")
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raise HTTPException(
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status_code=400,
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detail=f"批量预览第 {variant_index + 1} 个视频无法独立选片:{ve}。"
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"请增加素材库中的视频素材后重试。",
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) from ve
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except Exception as reselection_err: # noqa: PERF203
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last_err = reselection_err
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logger.warning(
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"[预览生成] 克隆变体 plan 失败(尝试%d/2): variant=%d error=%s",
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"[预览生成] 变体独立选片失败(尝试%d/2): variant=%d error=%s",
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_attempt + 1,
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variant_index,
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clone_err,
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reselection_err,
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exc_info=True,
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)
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if variant_plan is None:
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logger.error(
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"[预览生成] 克隆预览变体 plan 重试仍失败: variant=%d source=%s",
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"[预览生成] 变体独立选片重试仍失败: variant=%d source=%s",
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variant_index,
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source_plan_id,
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exc_info=last_err,
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)
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# 标记已创建任务失败
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for t in created_tasks:
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_mark_task_failed(generation_task_repository, t, "预览变体计划创建失败")
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raise HTTPException(
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@@ -466,7 +501,7 @@ def create_preview_generation_task(
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except HTTPException:
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raise
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except Exception as e:
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logger.error("[预览生成] 克隆变体 plan 异常: %s", e, exc_info=True)
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logger.error("[预览生成] 变体 plan 生成异常: %s", e, exc_info=True)
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for t in created_tasks:
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_mark_task_failed(generation_task_repository, t, "预览变体计划创建失败")
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raise HTTPException(
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@@ -123,6 +123,7 @@ def _select_assets_from_library(
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assets: list,
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mode: str,
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count: int,
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rng=None,
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) -> list[str]:
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"""根据选取模式从素材库中选取 ready 状态的视频素材 ID。
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@@ -130,6 +131,8 @@ def _select_assets_from_library(
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assets: 素材库中所有素材(Asset 实体列表)
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mode: 选取模式 — all=全部, smart=智能匹配(多维度评分+多样性)
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count: 选取数量,0 表示全部(仅 smart 模式有效)
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rng: 可选随机源(smart 模式排序噪声用),生产环境不传则内部随机;
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测试可注入固定种子或零噪声随机源获得确定性结果。
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Returns:
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选中的素材 ID 列表
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@@ -142,8 +145,9 @@ def _select_assets_from_library(
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if mode == "smart":
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# 智能匹配:统一使用 packages/domain/smart_match.py 的多维评分+多样性选取
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# 评分维度:质量分(40%) + 时长适配(30%) + 新鲜度(20%) + 未使用加分(10%)
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# 排序注入随机噪声(#1743):同分素材每次选出不同组合,从素材组合层面降重
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limit = count if count > 0 else None
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results = smart_select_assets(ready_video_assets, limit=limit, kind="video")
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results = smart_select_assets(ready_video_assets, limit=limit, kind="video", rng=rng)
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return [r.asset.id for r in results]
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# 默认 all 模式:返回全部 ready 视频素材
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@@ -432,39 +436,83 @@ def create_generation_task(
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logger.info("画中画已下线,strategy_id %s → one_take", effective_strategy_id)
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effective_strategy_id = "one_take"
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# 批量生成时每个任务关联独立克隆 plan(片段起点重算),
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# 禁止 N 条任务共用同一 source_edit_plan_id 导致片段一模一样。
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# 在创建任何任务【之前】预克隆全部变体:克隆失败直接中断(此时无脏数据),
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# 绝不静默退回共用源 plan(否则批量视频内容重复,违反去重诉求)。
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# 批量生成(count>1):每个变体必须走与单视频完全相同的独立选片流程(#1743)。
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# - 变体 0 保留源 plan(保留用户编辑结果);
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# - 变体 1..N-1 用 reselect_plan_for_variant 完整重跑选片(素材洗牌 + 镜头洗牌
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# + 起点随机 + 跨变体区间避让 + 批次 20% 重叠重选),而非"克隆只改起点";
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# - count>1 但没有源 plan(前端未传 source_edit_plan_id 且无模板 plan)时,
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# 不允许 N 个任务兜底共用同一 plan,直接 4xx 中断(宁可不生成,也不出同源成片)。
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# 在创建任何任务【之前】预生成全部变体 plan:失败直接中断(此时无脏数据)。
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variant_plan_ids: list[str] = []
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if count > 1 and request.source_edit_plan_id:
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if count > 1:
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from app.services.edit_plan_service import EditPlanService
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_plan_svc = EditPlanService(db)
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# 解析批量源 plan:优先前端传入;否则按 template_id + user 查最新(与单任务兜底同源)
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batch_source_plan_id = request.source_edit_plan_id
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if not batch_source_plan_id and request.template_id:
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try:
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from packages.adapters.sqlalchemy_impl.models import EditPlanModel
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_latest = (
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db.query(EditPlanModel)
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.filter(
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EditPlanModel.template_id == request.template_id,
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EditPlanModel.created_by_user_id == user_id,
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)
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.order_by(EditPlanModel.created_at.desc())
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.first()
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)
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if _latest:
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batch_source_plan_id = _latest.id
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except Exception:
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logger.warning("[生成任务] 批量源 plan 解析失败", exc_info=True)
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if not batch_source_plan_id:
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# 无任何可用源 plan:批量变体无从选片,明确报错,严禁静默共用/同源
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logger.error("[生成任务] 批量 count=%d 但无可编辑计划(无 source_edit_plan_id/template plan)", count)
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raise HTTPException(
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status_code=400,
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detail="批量生成需要先完成预览生成(缺少剪辑计划)。请先生成预览后再批量创建。",
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)
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# 批次素材池:请求显式素材 + 库自动匹配素材(resolved_asset_ids)
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batch_asset_pool = list(dict.fromkeys(resolved_asset_ids or []))
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for task_index in range(1, count):
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variant = None
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last_err: Exception | None = None
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for _attempt in range(2): # 1 次重试,抗 DB 瞬时抖动
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try:
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variant = _plan_svc.clone_plan_for_variant(
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request.source_edit_plan_id,
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variant = _plan_svc.reselect_plan_for_variant(
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batch_source_plan_id,
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batch_asset_pool,
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created_by_user_id=user_id,
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name_suffix=f"批量{task_index + 1}",
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)
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break
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except Exception as clone_err: # noqa: PERF203
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last_err = clone_err
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except ValueError as ve:
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# 素材不足等可预期错误:不重试,直接中断并给出明确提示
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logger.warning("[生成任务] 变体独立选片失败(素材不足): %s", ve)
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raise HTTPException(
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status_code=400,
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detail=f"批量生成第 {task_index + 1} 个视频无法独立选片:{ve}。"
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"请增加素材库中的视频素材后重试。",
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) from ve
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except Exception as reselection_err: # noqa: PERF203
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last_err = reselection_err
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logger.warning(
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"[生成任务] 克隆变体 plan 失败(尝试%d/2): source=%s error=%s",
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"[生成任务] 变体独立选片失败(尝试%d/2): source=%s error=%s",
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_attempt + 1,
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request.source_edit_plan_id,
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clone_err,
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batch_source_plan_id,
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reselection_err,
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exc_info=True,
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)
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if variant is None:
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logger.error(
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"[生成任务] 克隆变体 plan 重试仍失败,中断批量创建: source=%s",
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request.source_edit_plan_id,
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"[生成任务] 变体独立选片重试仍失败,中断批量创建: source=%s",
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batch_source_plan_id,
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exc_info=last_err,
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)
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raise HTTPException(
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@@ -475,10 +523,11 @@ def create_generation_task(
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try:
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for task_index in range(count):
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# 第 1 条复用源 plan(保留用户编辑结果);其余使用预克隆的独立变体 plan。
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# 无源 plan(source_edit_plan_id 为空)时无可克隆对象,variant_plan_ids
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# 为空列表:各任务走自身随机选片流程,不做索引访问(防 IndexError)
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effective_plan_id = request.source_edit_plan_id
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# 变体 0 复用源 plan(保留用户编辑结果);变体 1..N-1 用预生成的独立选片 plan。
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# count>1 时上方已保证存在源 plan 且变体 plan 数量 == count-1。
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effective_plan_id = (
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request.source_edit_plan_id or batch_source_plan_id if count > 1 else request.source_edit_plan_id
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)
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if task_index > 0 and variant_plan_ids:
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effective_plan_id = variant_plan_ids[task_index - 1]
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@@ -523,7 +572,19 @@ def create_generation_task(
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try:
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# 兜底关联编辑计划:前端未传 source_edit_plan_id 时,
|
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# 通过 template_id + user_id 在 DB 层直接查找最新的 plan。
|
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# 必须在 enqueue 之前执行,避免 worker 读取时 source_edit_plan_id 为空(竞态条件)
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# 必须在 enqueue 之前执行,避免 worker 读取时 source_edit_plan_id 为空(竞态条件)。
|
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# #1743:批量(count>1)场景严禁兜底共用——变体 plan 已在上方预生成,
|
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# 走到这里还缺 plan 说明预生成漏配,直接报错中断,不允许 N 任务关联同一 plan。
|
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if not task.source_edit_plan_id and count > 1:
|
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logger.error(
|
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"[生成任务] 批量任务缺少独立 plan(禁止共用兜底): task_index=%d task_id=%s",
|
||||
task_index,
|
||||
task.id,
|
||||
)
|
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raise HTTPException(
|
||||
status_code=500,
|
||||
detail="创建批量任务失败:变体剪辑计划缺失,请重新预览后再批量生成。",
|
||||
)
|
||||
if not task.source_edit_plan_id and request.template_id:
|
||||
try:
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from packages.adapters.sqlalchemy_impl.models import EditPlanModel
|
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|
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@@ -409,8 +409,13 @@ class EditPlanService:
|
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clip_type=clip_item.get("clip_type", "main"),
|
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order=order,
|
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asset_id=clip_item.get("asset_id", ""),
|
||||
text_content=clip_item.get("text_content", ""),
|
||||
start_time=clip_item.get("start_time", 0.0),
|
||||
duration=clip_item.get("duration", 0.0),
|
||||
transition_effect=clip_item.get("transition_effect", "cut"),
|
||||
transition_duration=clip_item.get("transition_duration", 0.0),
|
||||
playback_speed=clip_item.get("playback_speed", 1.0),
|
||||
config=clip_item.get("config") or None,
|
||||
)
|
||||
model = EditPlanClipModel(
|
||||
id=clip.id,
|
||||
@@ -459,6 +464,136 @@ class EditPlanService:
|
||||
logger.exception("事务性替换片段失败: plan_id=%s", plan_id)
|
||||
raise
|
||||
|
||||
def reselect_plan_for_variant(
|
||||
self,
|
||||
source_plan_id: str,
|
||||
candidate_asset_ids: list[str],
|
||||
*,
|
||||
created_by_user_id: str = "",
|
||||
name_suffix: str = "变体",
|
||||
rng=None,
|
||||
) -> EditPlan:
|
||||
"""为批量变体生成独立 plan:完整重跑单视频选片流程(#1743)。
|
||||
|
||||
与 clone_plan_for_variant(只重算起点、素材/顺序不变)不同,本方法:
|
||||
- 源 plan 片段骨架(clip_type/order/duration/文案/转场)保留;
|
||||
- 素材池 shuffle 随机分配 + main 片段顺序洗牌;
|
||||
- 起点走场景镜头洗牌/随机起点/历史区间避让(与单视频同一入口);
|
||||
- 批次内同素材区间重叠 >20% 自动重选起点;
|
||||
- 新片段区间 record_used_segments 写回素材 metadata(跨变体/跨任务避让)。
|
||||
|
||||
Args:
|
||||
source_plan_id: 源 plan(任务 0 / 预览源)。
|
||||
candidate_asset_ids: 素材池(源 plan 素材 ∪ 批次素材)。
|
||||
created_by_user_id: 新 plan 归属用户。
|
||||
name_suffix: plan 名后缀。
|
||||
rng: 可选随机数(测试注入种子)。
|
||||
|
||||
Raises:
|
||||
ValueError: 源 plan 不存在/无片段、素材池为空或时长全未知。
|
||||
"""
|
||||
from packages.adapters.sqlalchemy_impl.models import AssetModel
|
||||
from packages.domain.plan_generator_utils import extract_scene_points_from_metadata
|
||||
from packages.domain.variant_plan_selector import reselect_clips_for_variant
|
||||
|
||||
source = self.get_plan_or_raise(source_plan_id)
|
||||
|
||||
# 分页读取源 plan 全部片段
|
||||
clips: List[EditPlanClip] = []
|
||||
skip, page = 0, 500
|
||||
while True:
|
||||
batch = self._clip_repo.list_by_plan(source_plan_id, skip=skip, limit=page)
|
||||
if not batch:
|
||||
break
|
||||
clips.extend(batch)
|
||||
if len(batch) < page:
|
||||
break
|
||||
skip += page
|
||||
if not clips:
|
||||
raise ValueError(f"源 plan 无片段,无法生成变体: {source_plan_id}")
|
||||
|
||||
source_clips_data = [
|
||||
{
|
||||
"order": c.order if c.order is not None else i,
|
||||
"asset_id": c.asset_id,
|
||||
"start_time": float(c.start_time or 0.0),
|
||||
"duration": float(c.duration or 0.0),
|
||||
"clip_type": c.clip_type,
|
||||
"playback_speed": float(c.playback_speed or 1.0),
|
||||
"transition_effect": c.transition_effect,
|
||||
"transition_duration": float(c.transition_duration or 0.0),
|
||||
"text_content": c.text_content or "",
|
||||
"config": c.config or {},
|
||||
}
|
||||
for i, c in enumerate(clips)
|
||||
]
|
||||
|
||||
db = self._clip_repo.session
|
||||
|
||||
# 素材池 = 源 plan 素材 ∪ 调用方传入素材(去重保序)
|
||||
pool_ids: list[str] = []
|
||||
seen = set()
|
||||
for aid in [c.asset_id for c in clips if c.asset_id] + list(candidate_asset_ids or []):
|
||||
if aid and aid not in seen:
|
||||
seen.add(aid)
|
||||
pool_ids.append(aid)
|
||||
|
||||
# 时长 + 场景点
|
||||
durations: dict[str, float] = {}
|
||||
scene_points: dict[str, list[float]] = {}
|
||||
if pool_ids:
|
||||
for m in db.query(AssetModel).filter(AssetModel.id.in_(pool_ids)).all():
|
||||
durations[m.id] = float(getattr(m, "duration", 0.0) or 0.0)
|
||||
pts = extract_scene_points_from_metadata(getattr(m, "metadata", None))
|
||||
if pts:
|
||||
scene_points[m.id] = pts
|
||||
|
||||
historical = get_used_segments(db, pool_ids)
|
||||
|
||||
# 创建新 plan(复制模板归属与 config)
|
||||
new_plan = self.create_plan(
|
||||
template_id=source.template_id,
|
||||
name=f"{source.name or '剪辑计划'} · {name_suffix}",
|
||||
config=dict(source.config or {}),
|
||||
total_duration=source.total_duration,
|
||||
project_id=source.project_id or "",
|
||||
created_by_user_id=created_by_user_id or (source.created_by_user_id or ""),
|
||||
)
|
||||
|
||||
# 批次内区间:以源 plan(变体 0)片段为初始避让对象
|
||||
batch_segments: dict[str, list[tuple[float, float]]] = {}
|
||||
for c in clips:
|
||||
if c.asset_id and float(c.duration or 0) > 0:
|
||||
st = float(c.start_time or 0.0)
|
||||
batch_segments.setdefault(c.asset_id, []).append((st, st + float(c.duration)))
|
||||
|
||||
clips_data = reselect_clips_for_variant(
|
||||
source_clips_data,
|
||||
pool_ids,
|
||||
asset_durations=durations,
|
||||
asset_scene_points=scene_points,
|
||||
historical_used_segments=historical,
|
||||
batch_segments=batch_segments,
|
||||
rng=rng,
|
||||
)
|
||||
|
||||
# 片段区间写回素材 metadata(与落库同事务;replace_all_clips_transactional 内 commit)
|
||||
for item in clips_data:
|
||||
aid = item.get("asset_id", "")
|
||||
if aid:
|
||||
st = float(item.get("start_time", 0.0))
|
||||
record_used_segments(db, aid, st, st + float(item.get("duration", 0.0)), new_plan.id)
|
||||
|
||||
self.replace_all_clips_transactional(new_plan.id, clips_data)
|
||||
logger.info(
|
||||
"变体独立选片完成: source=%s new=%s clips=%d assets=%d",
|
||||
source_plan_id,
|
||||
new_plan.id,
|
||||
len(clips_data),
|
||||
len(pool_ids),
|
||||
)
|
||||
return new_plan
|
||||
|
||||
def clone_plan_for_variant(
|
||||
self,
|
||||
source_plan_id: str,
|
||||
|
||||
@@ -44,8 +44,10 @@ export interface BgmConfig {
|
||||
export interface TemplateSegment {
|
||||
id?: string
|
||||
segment_order: number
|
||||
duration_min: number
|
||||
duration_max: number
|
||||
/** @deprecated 模板无时长概念(#1750 基线):字段保留仅为兼容旧数据读取,新模板可不传 */
|
||||
duration_min?: number
|
||||
/** @deprecated 同上 */
|
||||
duration_max?: number
|
||||
material_type: string | null
|
||||
}
|
||||
|
||||
@@ -59,7 +61,8 @@ export interface EditingTemplate {
|
||||
title_config: TitleConfig
|
||||
subtitle_config: SubtitleConfig
|
||||
bgm_config: BgmConfig
|
||||
estimated_duration: number
|
||||
/** @deprecated 模板无时长概念(#1750 基线):成片时长由配音时长决定;字段保留兼容旧数据 */
|
||||
estimated_duration?: number
|
||||
segments: TemplateSegment[]
|
||||
watermark_config?: WatermarkConfig
|
||||
intro_outro_config?: IntroOutroConfig
|
||||
@@ -89,7 +92,8 @@ export interface SaveTemplatePayload {
|
||||
title_config: TitleConfig
|
||||
subtitle_config: SubtitleConfig
|
||||
bgm_config: BgmConfig
|
||||
estimated_duration: number
|
||||
/** @deprecated 模板无时长概念(#1750 基线):保留兼容旧数据 */
|
||||
estimated_duration?: number
|
||||
segments: Omit<TemplateSegment, "id">[]
|
||||
watermark_config?: WatermarkConfig
|
||||
intro_outro_config?: IntroOutroConfig
|
||||
|
||||
@@ -0,0 +1,61 @@
|
||||
/**
|
||||
* 批量变体剪辑计划 API(#1744)
|
||||
*
|
||||
* 批量预览时向后端申请 N 个变体的「独立剪辑计划片段」:
|
||||
* - 变体 0 保留源 plan(用户在编辑器/智能选片产出的片段,含标题样式编辑结果);
|
||||
* - 变体 1..N-1 由后端 reselect_plan_for_variant 完整重跑单视频选片流程
|
||||
* (素材洗牌 + main 片段顺序洗牌 + 镜头/起点随机 + 跨变体 20% 区间避让 +
|
||||
* 素材使用区间写回 metadata),与正式批量生成 POST /generation/tasks?count=N
|
||||
* 使用同一套选片逻辑;
|
||||
* - 正式生成时把 variant_plan_ids 原样回传,后端直接关联这些 plan 渲染,
|
||||
* 不再重新选片 —— 预览所见即成片。
|
||||
*
|
||||
* 该接口只做选片/建 plan(秒级),不触发视频渲染,无渲染成本。
|
||||
* 后端端点未上线(404)或选片失败(素材不足等)时前端降级为本地 variantSeed
|
||||
* 模拟预览,不阻塞用户流程。
|
||||
*/
|
||||
import apiClient from "../client"
|
||||
import type { EditPlanClip } from "../template-editor"
|
||||
|
||||
/** 批量变体计划请求体 */
|
||||
export interface BatchVariantPlansRequest {
|
||||
template_id: string
|
||||
/** 本批次素材池(手动选择或智能匹配结果) */
|
||||
asset_ids: string[]
|
||||
/** 变体数量(≥1);=1 时只返回源 plan 片段 */
|
||||
count: number
|
||||
/** 源剪辑计划 ID:优先取预览/草稿关联的 plan;不传由后端按 template_id+user 兜底最新 plan */
|
||||
source_edit_plan_id?: string
|
||||
}
|
||||
|
||||
/** 单个变体的计划片段 */
|
||||
export interface VariantPlan {
|
||||
/** 变体序号,从 0 开始 */
|
||||
variant_index: number
|
||||
/** 该变体关联的剪辑计划 ID(正式生成时回传,实现预览即成片) */
|
||||
plan_id: string
|
||||
/** 该变体的真实片段(顺序/素材/起点与正式成片一致) */
|
||||
clips: EditPlanClip[]
|
||||
}
|
||||
|
||||
/** 批量变体计划响应 */
|
||||
export interface BatchVariantPlansResponse {
|
||||
items: VariantPlan[]
|
||||
total: number
|
||||
}
|
||||
|
||||
/**
|
||||
* 创建批量变体剪辑计划并返回各变体片段。
|
||||
*
|
||||
* 注意:端点 404(后端未上线)/ 400(素材不足)等失败由调用方 catch 后降级,
|
||||
* 不要抛 unhandled rejection。
|
||||
*/
|
||||
export async function createBatchVariantPlans(
|
||||
params: BatchVariantPlansRequest,
|
||||
): Promise<BatchVariantPlansResponse> {
|
||||
const response = await apiClient.post<BatchVariantPlansResponse>(
|
||||
"/generation/variant-plans",
|
||||
params,
|
||||
)
|
||||
return response.data
|
||||
}
|
||||
@@ -100,6 +100,12 @@ export interface CreateGenerationTaskRequest {
|
||||
voice_library_ids?: string[]
|
||||
/** 各变体独立封面URL:长度1=共用,长度=count=独立,空数组=回退 cover_url */
|
||||
cover_urls?: string[]
|
||||
/**
|
||||
* 批量变体剪辑计划 ID(#1744):预览阶段后端独立选片产出的 plan id 列表
|
||||
* (按变体全量索引,长度=previewCount)。正式生成回传后后端直接关联这些
|
||||
* plan 渲染、不再重新选片,保证预览所见即成片。后端未支持时忽略该字段。
|
||||
*/
|
||||
variant_plan_ids?: string[]
|
||||
}
|
||||
|
||||
/** 单个生成任务详情(对齐后端 GenerationTaskResponse) */
|
||||
|
||||
@@ -42,8 +42,10 @@ export interface TemplateItem {
|
||||
export interface TemplateSegment {
|
||||
id?: string
|
||||
segment_order: number
|
||||
duration_min: number
|
||||
duration_max: number
|
||||
/** @deprecated 模板无时长概念(#1750 基线):字段保留仅为兼容旧数据读取 */
|
||||
duration_min?: number
|
||||
/** @deprecated 同上 */
|
||||
duration_max?: number
|
||||
material_type: string | null
|
||||
description?: string
|
||||
}
|
||||
@@ -55,8 +57,6 @@ export interface TemplateListParams {
|
||||
category?: string
|
||||
tags?: string
|
||||
keyword?: string
|
||||
/** 时长筛选(秒):short < 30, medium 30-120, long > 120 */
|
||||
duration_range?: "short" | "medium" | "long"
|
||||
}
|
||||
|
||||
/** 模板列表分页响应 */
|
||||
|
||||
@@ -108,7 +108,10 @@ export function usePlanLoading({
|
||||
id: `seg-${idx}`,
|
||||
template_segment_id: `seg-${idx}`,
|
||||
type: (seg.material_type === "voiceover" ? "voice" : "pip") as ClipType,
|
||||
duration: (seg.duration_min + seg.duration_max) / 2,
|
||||
duration:
|
||||
seg.duration_min != null && seg.duration_max != null
|
||||
? (seg.duration_min + seg.duration_max) / 2
|
||||
: 5,
|
||||
startOffset: 0,
|
||||
script_text: "",
|
||||
order: seg.segment_order,
|
||||
|
||||
@@ -43,7 +43,10 @@ export function useTemplateDetail({
|
||||
id: seg.id || `seg-${idx}`,
|
||||
template_segment_id: seg.id || `seg-${idx}`,
|
||||
type: (seg.material_type === "voiceover" ? "voice" : "pip") as ClipType,
|
||||
duration: (seg.duration_min + seg.duration_max) / 2,
|
||||
duration:
|
||||
seg.duration_min != null && seg.duration_max != null
|
||||
? (seg.duration_min + seg.duration_max) / 2
|
||||
: 5,
|
||||
startOffset: 0,
|
||||
script_text: "",
|
||||
order: seg.segment_order,
|
||||
|
||||
@@ -27,6 +27,8 @@ import { useStepNavigation } from "./hooks/useStepNavigation"
|
||||
import { useGenerateVideo } from "./hooks/useGenerateVideo"
|
||||
|
||||
import { usePreviewAssets } from "./hooks/usePreviewAssets"
|
||||
import { useBatchVariantPlans } from "./hooks/useBatchVariantPlans"
|
||||
import { useVariantVoicePreview } from "./hooks/useVariantVoicePreview"
|
||||
import { useTitleStyleUpdaters } from "./hooks/useStep4Title/useTitleStyleUpdaters"
|
||||
import { getAssetsByKind } from "@/api/assets"
|
||||
import { previewTts } from "@/api/tts"
|
||||
@@ -136,14 +138,17 @@ const GeneratePage: React.FC = () => {
|
||||
const variant0Title = isBatch ? previewTitles?.[0] || "" : ""
|
||||
|
||||
useEffect(() => {
|
||||
// #1750:批量模式每变体独立/共用配音由 useVariantVoicePreview 接管(含独立模式每卡片挂各自 URL),
|
||||
// 本 effect 只服务单视频,批量模式直接跳过(避免共用 TTS 结果错误下发给所有变体)
|
||||
if (isBatch) return
|
||||
const voiceAsset = voiceMaterials.find((m) => m.id === selectedVoice)
|
||||
if (voiceAsset?.file_url) {
|
||||
setPreviewVoiceAudioUrl(voiceAsset.file_url)
|
||||
return
|
||||
}
|
||||
|
||||
// 批量模式下 TTS 文案跟随变体0标题;单视频跟随主标题
|
||||
const ttsTitle = isBatch ? variant0Title || "" : titleSettings.title
|
||||
// 单视频 TTS 文案跟随主标题
|
||||
const ttsTitle = titleSettings.title
|
||||
const voiceId = selectedClonedVoice || selectedVoice
|
||||
if (!voiceId || !ttsTitle) {
|
||||
setPreviewVoiceAudioUrl(null)
|
||||
@@ -213,14 +218,56 @@ const GeneratePage: React.FC = () => {
|
||||
|
||||
/* ── 加载素材详情(供前端预览播放器使用) ── */
|
||||
const previewAssetsEnabled = previewAssetIds.length > 0
|
||||
const { assets: previewAssets, ready: previewAssetsReady } = usePreviewAssets(
|
||||
previewAssetIds,
|
||||
previewAssetsEnabled,
|
||||
)
|
||||
const {
|
||||
assets: previewAssets,
|
||||
ready: previewAssetsReady,
|
||||
ensureAssets,
|
||||
} = usePreviewAssets(previewAssetIds, previewAssetsEnabled)
|
||||
|
||||
/* ── 预览就绪:纯前端 Canvas 预览,素材详情加载完即可秒开(单视频/批量一致) ── */
|
||||
const previewReady = previewAssetsReady && !!currentTemplate
|
||||
|
||||
/* ── 批量变体真实片段(#1744):后端独立选片,预览即成片;失败静默降级本地模拟 ──
|
||||
仅批量(N>1)且在第 4 步预览时申请,避免选素材阶段频繁请求;
|
||||
变体 0 沿用草稿 plan(与单视频一致),变体 1..N-1 后端 reselect 独立选片 */
|
||||
const {
|
||||
clipsByVariant: variantClips,
|
||||
planIdsByVariant: variantPlanIds,
|
||||
loading: variantClipsLoading,
|
||||
error: variantClipsError,
|
||||
retry: retryVariantClips,
|
||||
} = useBatchVariantPlans({
|
||||
enabled: isBatch && currentStep === 4 && previewAssetsReady,
|
||||
count: previewCount,
|
||||
templateId: selectedTemplate || "",
|
||||
assetIds: previewAssetIds,
|
||||
sourcePlanId: storedSourceEditPlanId || sourceEditPlanId || "",
|
||||
})
|
||||
|
||||
/* ── 批量变体配音预览 URL(#1750):独立模式每变体挂各自配音,共用模式全挂同一条;
|
||||
hook 内部自取配音素材库并做 TTS 缓存/串行/防竞态 */
|
||||
const variantVoiceAudioUrls = useVariantVoicePreview({
|
||||
enabled: isBatch,
|
||||
count: previewCount,
|
||||
perVideo: voiceModePerVideo,
|
||||
sharedVoiceId: selectedVoice || "",
|
||||
clonedVoiceId: selectedClonedVoice || "",
|
||||
variantVoiceIds: voiceLibraryIds || [],
|
||||
titles: previewTitles || [],
|
||||
})
|
||||
|
||||
/* ── 变体计划 clips 引用的素材可能不在已选列表中(#1750):差集补拉素材详情,
|
||||
保证播放器拿得到 file_url,而不是静默丢片段/用假数据冒充 */
|
||||
const clipAssetIds = useMemo(() => {
|
||||
if (!isBatch || !variantClips?.length) return []
|
||||
const ids = new Set<string>()
|
||||
variantClips.forEach((list) => list.forEach((c) => c.asset_id && ids.add(c.asset_id)))
|
||||
return Array.from(ids)
|
||||
}, [isBatch, variantClips])
|
||||
useEffect(() => {
|
||||
if (clipAssetIds.length > 0) void ensureAssets(clipAssetIds)
|
||||
}, [clipAssetIds, ensureAssets])
|
||||
|
||||
/* ── 勾选变体 ── */
|
||||
const toggleVariantSelect = useCallback(
|
||||
(index: number) => {
|
||||
@@ -262,6 +309,8 @@ const GeneratePage: React.FC = () => {
|
||||
autoSubtitles,
|
||||
bgm,
|
||||
sourceEditPlanId: storedSourceEditPlanId || sourceEditPlanId,
|
||||
// #1744:批量预览阶段后端为每个变体生成的独立 plan id,正式生成回传 → 预览即成片
|
||||
variantPlanIds,
|
||||
previewTaskId,
|
||||
bgmConfig,
|
||||
previewCount,
|
||||
@@ -393,7 +442,6 @@ const GeneratePage: React.FC = () => {
|
||||
/* 单视频:前端 Canvas 实时预览(与旧版一致,零回归) */
|
||||
<FrontendPreviewPlayer
|
||||
assets={previewAssets}
|
||||
template={currentTemplate}
|
||||
videoRatio={videoRatio}
|
||||
ready={previewAssets.length > 0}
|
||||
serverClips={serverClips}
|
||||
@@ -425,11 +473,14 @@ const GeneratePage: React.FC = () => {
|
||||
<CanvasPreviewGrid
|
||||
count={previewCount}
|
||||
assets={previewAssets}
|
||||
template={currentTemplate}
|
||||
videoRatio={videoRatio}
|
||||
titles={previewTitles}
|
||||
titleSettings={titleSettings}
|
||||
voiceAudioUrl={previewVoiceAudioUrl || undefined}
|
||||
voiceAudioUrls={variantVoiceAudioUrls}
|
||||
variantClips={variantClips}
|
||||
clipsLoading={variantClipsLoading}
|
||||
clipsError={variantClipsError}
|
||||
onRetryClips={retryVariantClips}
|
||||
selectedIds={selectedVariantIds}
|
||||
onToggleSelect={toggleVariantSelect}
|
||||
selectable={!generating}
|
||||
@@ -507,12 +558,31 @@ const GeneratePage: React.FC = () => {
|
||||
{/* ════ 步骤5/6(单视频):右侧成片播放器 ════ */}
|
||||
{currentStep >= 5 && !isBatch && generated && finalVideo && (
|
||||
<div className="xx-generate-right-col">
|
||||
<div className="xx-inline-video-player">
|
||||
<div
|
||||
className="xx-inline-video-player"
|
||||
style={{
|
||||
display: "flex",
|
||||
justifyContent: "center",
|
||||
alignItems: "center",
|
||||
background: "#000",
|
||||
borderRadius: 12,
|
||||
padding: 8,
|
||||
}}
|
||||
>
|
||||
<video
|
||||
src={finalVideo.download_url || finalVideo.file_url}
|
||||
controls
|
||||
autoPlay={currentStep === 5}
|
||||
style={{ width: "100%", maxHeight: "70vh", objectFit: "contain", borderRadius: 12 }}
|
||||
// 竖屏自适应(#1750):成片固定 1080×1920(9:16),元数据到达前按 9:16 占位,
|
||||
// 到达后浏览器按真实宽高比 contain;黑底居中杜绝左右大黑边
|
||||
style={{
|
||||
width: "auto",
|
||||
maxWidth: "100%",
|
||||
maxHeight: "70vh",
|
||||
aspectRatio: "9 / 16",
|
||||
objectFit: "contain",
|
||||
borderRadius: 8,
|
||||
}}
|
||||
poster={finalVideo.thumbnail_url || undefined}
|
||||
/>
|
||||
<div style={{ display: "flex", gap: 8, marginTop: 12, justifyContent: "center" }}>
|
||||
|
||||
@@ -66,12 +66,32 @@ const BatchGenerationGrid: React.FC<BatchGenerationGridProps> = ({
|
||||
</>
|
||||
)}
|
||||
{task.status === "completed" && video && (
|
||||
<video
|
||||
src={video.download_url || video.file_url}
|
||||
controls
|
||||
style={{ width: "100%", borderRadius: 8, background: "#000", maxHeight: 280 }}
|
||||
poster={video.thumbnail_url}
|
||||
/>
|
||||
// 竖屏自适应容器(#1750):成片固定 1080×1920(9:16),
|
||||
// 视频按真实宽高比 contain 显示,黑底居中,杜绝横屏播放器左右大黑边
|
||||
<div
|
||||
style={{
|
||||
display: "flex",
|
||||
justifyContent: "center",
|
||||
alignItems: "center",
|
||||
background: "#000",
|
||||
borderRadius: 8,
|
||||
padding: 8,
|
||||
}}
|
||||
>
|
||||
<video
|
||||
src={video.download_url || video.file_url}
|
||||
controls
|
||||
style={{
|
||||
width: "auto",
|
||||
maxWidth: "100%",
|
||||
maxHeight: "70vh",
|
||||
aspectRatio: "9 / 16",
|
||||
borderRadius: 4,
|
||||
background: "#000",
|
||||
}}
|
||||
poster={video.thumbnail_url}
|
||||
/>
|
||||
</div>
|
||||
)}
|
||||
{task.status === "completed" && !video && (
|
||||
<div className="xx-batch-gen-card-done">✅ 已完成(成片可在下一步选择封面)</div>
|
||||
|
||||
@@ -1,27 +1,47 @@
|
||||
/**
|
||||
* 批量前端 Canvas 实时预览网格(Issue #1677 修正方案)
|
||||
* 批量前端 Canvas 实时预览网格(Issue #1677 起,#1750 对齐基线:只播放后端真实计划)
|
||||
*
|
||||
* N 个 FrontendPreviewPlayer 网格排列:
|
||||
* - 纯前端 Canvas + video 元素实时播放素材片段,不调任何后端渲染接口
|
||||
* - variantSeed 让每个变体素材排布/起始点不同,画面有可见差异
|
||||
* - 各自叠加独立标题浮层(variantTitle),标题样式全局共用
|
||||
* - 勾选框决定提交时生成哪些变体
|
||||
* - 纯前端 Canvas + video 元素实时播放素材片段,不调任何后端渲染接口;
|
||||
* - #1744/#1750:片段只来自后端变体计划接口(POST /generation/variant-plans)的真实
|
||||
* clips,与正式批量生成同源自 reselect_plan_for_variant,预览即成片;
|
||||
* 接口失败/数据不完整 → 整网格显示错误态+重试(严禁本地假数据冒充预览);
|
||||
* 加载中 → 9:16 占位防塌陷;
|
||||
* - 各自叠加独立标题浮层(variantTitle),标题样式全局共用;
|
||||
* - 勾选框决定提交时生成哪些变体;
|
||||
* - 每个变体挂载各自配音 URL(独立模式 #1750)或共用同一条;播放互斥:
|
||||
* 点击某卡片播放时其他卡片自动暂停,同一时刻只有一路声音(#1741)。
|
||||
*/
|
||||
import React from "react"
|
||||
import React, { useState } from "react"
|
||||
import type { AssetItem } from "@/api/assets"
|
||||
import type { EditingTemplate } from "@/api/editing-planner"
|
||||
import type { EditPlanClip } from "@/api/template-editor"
|
||||
import { LoadingOutlined, ReloadOutlined } from "@ant-design/icons"
|
||||
import { Button } from "antd"
|
||||
import type { TitleSettings } from "../types"
|
||||
import FrontendPreviewPlayer from "./FrontendPreviewPlayer"
|
||||
|
||||
interface CanvasPreviewGridProps {
|
||||
count: number
|
||||
assets: AssetItem[]
|
||||
template: EditingTemplate | null
|
||||
videoRatio: string
|
||||
titles: string[]
|
||||
titleSettings: TitleSettings
|
||||
/** 共用配音预览音频(仅第 1 个变体播放,避免多路音频重叠) */
|
||||
voiceAudioUrl?: string
|
||||
/**
|
||||
* 各变体配音预览音频 URL(#1750:独立配音模式每变体一条;共用模式全为同一条;
|
||||
* 元素为 null 表示该变体暂无音频(AI 音色 TTS 合成中))
|
||||
*/
|
||||
voiceAudioUrls?: (string | null)[]
|
||||
/**
|
||||
* 各变体的后端真实片段(#1744/#1750):长度=count。
|
||||
* 仅 clipsLoading=false 且 clipsError=false 时才会传给播放器。
|
||||
*/
|
||||
variantClips?: EditPlanClip[][]
|
||||
/** 是否正在向后端申请变体计划 */
|
||||
clipsLoading?: boolean
|
||||
/** 申请变体计划失败(端点未上线/网络错误/数据不完整):显示错误态,严禁假数据 */
|
||||
clipsError?: boolean
|
||||
/** 用户点击错误态「重试」 */
|
||||
onRetryClips?: () => void
|
||||
/** 勾选的变体序号 */
|
||||
selectedIds: number[]
|
||||
onToggleSelect: (index: number) => void
|
||||
@@ -32,15 +52,21 @@ interface CanvasPreviewGridProps {
|
||||
const CanvasPreviewGrid: React.FC<CanvasPreviewGridProps> = ({
|
||||
count,
|
||||
assets,
|
||||
template,
|
||||
videoRatio,
|
||||
titles,
|
||||
titleSettings,
|
||||
voiceAudioUrl,
|
||||
voiceAudioUrls,
|
||||
variantClips,
|
||||
clipsLoading = false,
|
||||
clipsError = false,
|
||||
onRetryClips,
|
||||
selectedIds,
|
||||
onToggleSelect,
|
||||
selectable = true,
|
||||
}) => {
|
||||
// ── 播放互斥(#1741):同一时刻只有一个卡片持有播放权(token = 变体序号,0 起,#1750) ──
|
||||
const [activePlayToken, setActivePlayToken] = useState<number | null>(null)
|
||||
|
||||
// count 上限已在源头 PreviewCountModal 的数量选择(1~MAX_PREVIEW_COUNT=10)clamp,
|
||||
// 这里完整渲染所有变体,保证每个变体都有勾选/预览入口,UI 与数据不脱节
|
||||
return (
|
||||
@@ -64,29 +90,54 @@ const CanvasPreviewGrid: React.FC<CanvasPreviewGridProps> = ({
|
||||
<span>视频 {i + 1}</span>
|
||||
</label>
|
||||
</div>
|
||||
<FrontendPreviewPlayer
|
||||
assets={assets}
|
||||
template={template}
|
||||
videoRatio={videoRatio}
|
||||
ready={assets.length > 0}
|
||||
variantSeed={i + 1}
|
||||
variantTitle={titles[i] || ""}
|
||||
voiceAudioUrl={i === 0 ? voiceAudioUrl : undefined}
|
||||
compact
|
||||
titleSettings={{
|
||||
title: titles[i] || "",
|
||||
size: titleSettings.size,
|
||||
font: titleSettings.font,
|
||||
color: titleSettings.color,
|
||||
position: titleSettings.position as "top" | "center" | "bottom" | "custom",
|
||||
bold: titleSettings.bold,
|
||||
italic: titleSettings.italic,
|
||||
stroke: titleSettings.stroke,
|
||||
shadow: titleSettings.shadow,
|
||||
posX: titleSettings.posX,
|
||||
posY: titleSettings.posY,
|
||||
}}
|
||||
/>
|
||||
{clipsError ? (
|
||||
// ── 错误态(#1750):9:16 占位防塌陷,不渲染任何播放器(严禁假数据) ──
|
||||
<div className="xx-variant-clips-status" role="alert">
|
||||
<span className="xx-variant-clips-error-text">预览加载失败,请重试</span>
|
||||
{i === 0 && onRetryClips ? (
|
||||
<Button
|
||||
size="small"
|
||||
icon={<ReloadOutlined />}
|
||||
onClick={onRetryClips}
|
||||
style={{ marginTop: 12 }}
|
||||
>
|
||||
重试
|
||||
</Button>
|
||||
) : null}
|
||||
</div>
|
||||
) : clipsLoading || !variantClips?.[i]?.length ? (
|
||||
// ── 加载态:9:16 占位防塌陷 ──
|
||||
<div className="xx-variant-clips-status" aria-label={`变体${i + 1}片段加载中`}>
|
||||
<LoadingOutlined />
|
||||
<span style={{ marginTop: 8 }}>独立选片中…</span>
|
||||
</div>
|
||||
) : (
|
||||
<FrontendPreviewPlayer
|
||||
assets={assets}
|
||||
videoRatio={videoRatio}
|
||||
ready={assets.length > 0}
|
||||
playToken={i}
|
||||
serverClips={variantClips[i]}
|
||||
variantTitle={titles[i] || ""}
|
||||
voiceAudioUrl={voiceAudioUrls?.[i] || undefined}
|
||||
activePlayToken={activePlayToken}
|
||||
onPlayTokenChange={setActivePlayToken}
|
||||
compact
|
||||
titleSettings={{
|
||||
title: titles[i] || "",
|
||||
size: titleSettings.size,
|
||||
font: titleSettings.font,
|
||||
color: titleSettings.color,
|
||||
position: titleSettings.position as "top" | "center" | "bottom" | "custom",
|
||||
bold: titleSettings.bold,
|
||||
italic: titleSettings.italic,
|
||||
stroke: titleSettings.stroke,
|
||||
shadow: titleSettings.shadow,
|
||||
posX: titleSettings.posX,
|
||||
posY: titleSettings.posY,
|
||||
}}
|
||||
/>
|
||||
)}
|
||||
</div>
|
||||
)
|
||||
})}
|
||||
|
||||
@@ -13,18 +13,19 @@ import {
|
||||
PauseCircleOutlined,
|
||||
SoundOutlined,
|
||||
LoadingOutlined,
|
||||
AudioOutlined,
|
||||
AudioMutedOutlined,
|
||||
} from "@ant-design/icons"
|
||||
import type { AssetItem } from "@/api/assets"
|
||||
import type { EditingTemplate } from "@/api/editing-planner"
|
||||
import type { EditPlanClip } from "@/api/template-editor"
|
||||
import { useSegmentScheduler, type PlaybackSegment } from "../hooks/useSegmentScheduler"
|
||||
import { useCanvasPlayer } from "../hooks/useCanvasPlayer"
|
||||
|
||||
interface FrontendPreviewPlayerProps {
|
||||
assets: AssetItem[]
|
||||
template: EditingTemplate | null
|
||||
videoRatio: string
|
||||
ready: boolean
|
||||
/** 服务端变体计划真实片段(#1750:必填,无 fallback;批量网格传入各变体自己的 clips) */
|
||||
serverClips?: EditPlanClip[]
|
||||
voiceAudioUrl?: string
|
||||
titleSettings?: {
|
||||
@@ -42,15 +43,21 @@ interface FrontendPreviewPlayerProps {
|
||||
}
|
||||
onTitlePositionChange?: (posX: number, posY: number) => void
|
||||
/**
|
||||
* 变体种子(批量生成 #1677):同一批素材在不同变体中采用不同的素材顺序与
|
||||
* 片段起始点,让 N 个 Canvas 预览画面有差异(纯前端随机剪辑模拟,不调后端)。
|
||||
* 0 / 不传 = 单视频,排布与旧版完全一致(零回归)。
|
||||
* 播放互斥 token(#1750):批量网格中为变体序号(0 起),单视频不传。
|
||||
* 持有播放权的实例播放,其余自动暂停。
|
||||
*/
|
||||
variantSeed?: number
|
||||
playToken?: number
|
||||
/** 变体标题文字(批量时每个预览独立标题,叠加在画面上);不传用 titleSettings.title */
|
||||
variantTitle?: string
|
||||
/** 紧凑模式(批量网格中使用,缩小内边距/标题尺寸) */
|
||||
compact?: boolean
|
||||
/**
|
||||
* 批量网格播放互斥(#1741/#1750):当前持有播放权的实例 token(变体序号)。
|
||||
* 持有权变化且不等于自身时,本实例自动暂停(视频+配音)。单视频模式不传。
|
||||
*/
|
||||
activePlayToken?: number | null
|
||||
/** 播放权变化回调:本实例请求播放时传自身 playToken,暂停时传 null */
|
||||
onPlayTokenChange?: (token: number | null) => void
|
||||
}
|
||||
|
||||
function formatTime(seconds: number): string {
|
||||
@@ -60,108 +67,51 @@ function formatTime(seconds: number): string {
|
||||
}
|
||||
|
||||
/**
|
||||
* 将素材映射为播放片段(复用原逻辑)
|
||||
* 将后端变体计划 clips 映射为播放片段(#1750:唯一数据来源,无本地模拟 fallback)
|
||||
*
|
||||
* 预览不渲染:浏览器按后端真实计划即时播放素材原片,预览即成片。
|
||||
* 模板片段数固定、成片时长=配音时长(后端等比分配),前端不再有任何时长假设。
|
||||
*/
|
||||
/** 简单可复现随机数(mulberry32),同一种子产出稳定排布,避免每次渲染抖动 */
|
||||
function seededRandom(seed: number): () => number {
|
||||
let a = seed >>> 0
|
||||
return () => {
|
||||
a |= 0
|
||||
a = (a + 0x6d2b79f5) | 0
|
||||
let t = Math.imul(a ^ (a >>> 15), 1 | a)
|
||||
t = (t + Math.imul(t ^ (t >>> 7), 61 | t)) ^ t
|
||||
return ((t ^ (t >>> 14)) >>> 0) / 4294967296
|
||||
}
|
||||
}
|
||||
|
||||
function buildPlaybackSegments(
|
||||
assets: AssetItem[],
|
||||
template: EditingTemplate | null,
|
||||
serverClips?: EditPlanClip[],
|
||||
variantSeed = 0,
|
||||
): PlaybackSegment[] {
|
||||
if (!assets.length) return []
|
||||
if (!assets.length || !serverClips || serverClips.length === 0) return []
|
||||
|
||||
// Build asset lookup map
|
||||
const assetMap = new Map(assets.map((a) => [a.id, a]))
|
||||
|
||||
// 优先使用服务端 clips(含随机 start_time 和正确数量),与最终生成结果一致
|
||||
if (serverClips && serverClips.length > 0) {
|
||||
const segments: PlaybackSegment[] = []
|
||||
for (const clip of serverClips) {
|
||||
const asset = assetMap.get(clip.asset_id)
|
||||
if (!asset) continue
|
||||
const assetDuration = asset.duration || asset.metadata?.duration || 30
|
||||
const startTime = clip.start_time || 0
|
||||
const endTime = Math.min(startTime + (clip.duration || assetDuration), assetDuration)
|
||||
const videoUrl = asset.file_url || asset.storage_key
|
||||
segments.push({ assetId: asset.id, videoUrl, startTime, endTime, order: clip.order })
|
||||
}
|
||||
if (segments.length > 0) {
|
||||
return segments.sort((a, b) => a.order - b.order)
|
||||
}
|
||||
}
|
||||
|
||||
// Fallback: 本地构建片段
|
||||
// variantSeed=0(单视频):与旧行为完全一致(素材原序、起始点 0),零回归
|
||||
// variantSeed>0(批量变体):素材顺序按种子轮换 + 片段起始点在素材内偏移,
|
||||
// 模拟后端"AI 随机剪辑出不同版本",让 N 个预览画面有可见差异
|
||||
const templateSegments = template?.segments || []
|
||||
const segments: PlaybackSegment[] = []
|
||||
const orderedAssets = variantSeed > 0 ? [...assets] : assets
|
||||
if (variantSeed > 0 && orderedAssets.length > 1) {
|
||||
const rand = seededRandom(variantSeed * 7919 + 13)
|
||||
// 素材轮换:把数组旋转 (seed % n) 位,再对后半段做一次稳定交换
|
||||
const n = orderedAssets.length
|
||||
const rotate = variantSeed % n
|
||||
orderedAssets.push(...orderedAssets.splice(0, rotate))
|
||||
const swapA = Math.floor(rand() * n)
|
||||
const swapB = Math.floor(rand() * n)
|
||||
if (swapA !== swapB) {
|
||||
;[orderedAssets[swapA], orderedAssets[swapB]] = [orderedAssets[swapB], orderedAssets[swapA]]
|
||||
}
|
||||
}
|
||||
|
||||
orderedAssets.forEach((asset, i) => {
|
||||
const assetDuration = asset.duration || asset.metadata?.duration || 30
|
||||
const tplSeg = templateSegments[i] || templateSegments[templateSegments.length - 1]
|
||||
const segDuration = tplSeg
|
||||
? Math.min(tplSeg.duration_max, Math.max(tplSeg.duration_min, assetDuration))
|
||||
: Math.min(assetDuration, 10)
|
||||
|
||||
let startTime = 0
|
||||
if (variantSeed > 0 && assetDuration - segDuration > 1) {
|
||||
const rand = seededRandom(variantSeed * 104729 + i * 31 + 7)
|
||||
// 起始点在素材可用区间内随机偏移(至少留 0.5s 余量)
|
||||
const maxStart = Math.max(0, assetDuration - segDuration - 0.5)
|
||||
startTime = Math.round(rand() * maxStart * 10) / 10
|
||||
}
|
||||
const endTime = Math.min(startTime + segDuration, assetDuration)
|
||||
for (const clip of serverClips) {
|
||||
const asset = assetMap.get(clip.asset_id)
|
||||
if (!asset) continue
|
||||
const assetDuration = asset.duration || asset.metadata?.duration || 0
|
||||
const startTime = clip.start_time || 0
|
||||
// 片段时长以后端计划为准(配音时长等比分配);素材时长仅用于兜底钳制边界
|
||||
const clipDuration = clip.duration || 0
|
||||
const endTime =
|
||||
assetDuration > 0
|
||||
? Math.min(startTime + clipDuration, assetDuration)
|
||||
: startTime + clipDuration
|
||||
const videoUrl = asset.file_url || asset.storage_key
|
||||
|
||||
segments.push({ assetId: asset.id, videoUrl, startTime, endTime, order: i })
|
||||
})
|
||||
|
||||
return segments
|
||||
segments.push({ assetId: asset.id, videoUrl, startTime, endTime, order: clip.order })
|
||||
}
|
||||
return segments.sort((a, b) => a.order - b.order)
|
||||
}
|
||||
|
||||
const FrontendPreviewPlayer: React.FC<FrontendPreviewPlayerProps> = ({
|
||||
assets,
|
||||
template,
|
||||
videoRatio,
|
||||
ready,
|
||||
serverClips,
|
||||
voiceAudioUrl,
|
||||
titleSettings,
|
||||
onTitlePositionChange,
|
||||
variantSeed = 0,
|
||||
playToken,
|
||||
variantTitle,
|
||||
compact = false,
|
||||
activePlayToken = null,
|
||||
onPlayTokenChange,
|
||||
}) => {
|
||||
const segments = useMemo(
|
||||
() => buildPlaybackSegments(assets, template, serverClips, variantSeed),
|
||||
[assets, template, serverClips, variantSeed],
|
||||
)
|
||||
const segments = useMemo(() => buildPlaybackSegments(assets, serverClips), [assets, serverClips])
|
||||
// 批量变体:标题文字取 variantTitle,样式仍由全局 titleSettings 控制
|
||||
const effectiveTitle = variantTitle ?? titleSettings?.title
|
||||
|
||||
@@ -339,6 +289,7 @@ const FrontendPreviewPlayer: React.FC<FrontendPreviewPlayerProps> = ({
|
||||
canPlay: videoCanPlay,
|
||||
togglePlayPause: videoTogglePlayPause,
|
||||
seekTo: videoSeekTo,
|
||||
pause: videoPause,
|
||||
videoRefs,
|
||||
} = useSegmentScheduler(segments)
|
||||
|
||||
@@ -353,6 +304,10 @@ const FrontendPreviewPlayer: React.FC<FrontendPreviewPlayerProps> = ({
|
||||
// ── 配音音频同步 ──
|
||||
const audioRef = useRef<HTMLAudioElement | null>(null)
|
||||
const prevIsPlayingRef = useRef(false)
|
||||
// 本卡片静音开关(#1741):默认有声,用户可点喇叭单独静音某张卡片
|
||||
const [muted, setMuted] = useState(false)
|
||||
// 有配音时 video 素材保持静音(避免原声与配音混音);无配音时取消静音,素材原声兜底
|
||||
const hasVoice = !!voiceAudioUrl
|
||||
|
||||
useEffect(() => {
|
||||
if (!voiceAudioUrl) {
|
||||
@@ -370,7 +325,8 @@ const FrontendPreviewPlayer: React.FC<FrontendPreviewPlayerProps> = ({
|
||||
if (audioRef.current.src !== voiceAudioUrl) {
|
||||
audioRef.current.src = voiceAudioUrl
|
||||
}
|
||||
}, [voiceAudioUrl])
|
||||
audioRef.current.muted = muted
|
||||
}, [voiceAudioUrl, muted])
|
||||
|
||||
useEffect(() => {
|
||||
const audio = audioRef.current
|
||||
@@ -409,17 +365,42 @@ const FrontendPreviewPlayer: React.FC<FrontendPreviewPlayerProps> = ({
|
||||
[effectiveUseWebCodecs, canvasControls, videoSeekTo],
|
||||
)
|
||||
|
||||
// ── 批量网格播放互斥(#1741):播放权属于其他实例时,本实例自动暂停(视频+配音) ──
|
||||
useEffect(() => {
|
||||
if (activePlayToken == null || playToken == null || activePlayToken === playToken) return
|
||||
if (effectiveUseWebCodecs) {
|
||||
if (canvasState.isPlaying) canvasControls.pause()
|
||||
} else if (isPlaying) {
|
||||
videoPause()
|
||||
}
|
||||
// isPlaying/canvasState.isPlaying 不放依赖:只在 token 变化时执行一次暂停,
|
||||
// token 等于自身时本实例的播放在 handleTogglePlay 里处理
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
}, [activePlayToken, playToken, effectiveUseWebCodecs])
|
||||
|
||||
const handleTogglePlay = useCallback(() => {
|
||||
if (effectiveUseWebCodecs) {
|
||||
if (canvasState.isPlaying) {
|
||||
canvasControls.pause()
|
||||
onPlayTokenChange?.(null)
|
||||
} else {
|
||||
if (playToken != null) onPlayTokenChange?.(playToken)
|
||||
canvasControls.play()
|
||||
}
|
||||
} else {
|
||||
// video fallback:先上报播放权(暂停其他卡片),再切换本卡片播放/暂停
|
||||
if (playToken != null) onPlayTokenChange?.(isPlaying ? null : playToken)
|
||||
videoTogglePlayPause()
|
||||
}
|
||||
}, [effectiveUseWebCodecs, canvasState.isPlaying, canvasControls, videoTogglePlayPause])
|
||||
}, [
|
||||
effectiveUseWebCodecs,
|
||||
canvasState.isPlaying,
|
||||
canvasControls,
|
||||
videoTogglePlayPause,
|
||||
isPlaying,
|
||||
playToken,
|
||||
onPlayTokenChange,
|
||||
])
|
||||
|
||||
// ── 进度条拖拽 ──
|
||||
const [isDragging, setIsDragging] = useState(false)
|
||||
@@ -608,7 +589,7 @@ const FrontendPreviewPlayer: React.FC<FrontendPreviewPlayerProps> = ({
|
||||
segments.map((seg, i) => (
|
||||
<video
|
||||
key={seg.assetId}
|
||||
muted
|
||||
muted={hasVoice || muted}
|
||||
ref={(el) => {
|
||||
videoRefs.current[i] = el
|
||||
}}
|
||||
@@ -662,8 +643,8 @@ const FrontendPreviewPlayer: React.FC<FrontendPreviewPlayerProps> = ({
|
||||
? { top: "50%", transform: "translate(-50%, -50%)" }
|
||||
: { bottom: `${titleBottomPct}%` }),
|
||||
}),
|
||||
pointerEvents: onTitlePositionChange && variantSeed === 0 ? "auto" : "none",
|
||||
cursor: onTitlePositionChange && variantSeed === 0 ? "grab" : "default",
|
||||
pointerEvents: onTitlePositionChange && playToken == null ? "auto" : "none",
|
||||
cursor: onTitlePositionChange && playToken == null ? "grab" : "default",
|
||||
touchAction: "none",
|
||||
userSelect: "none",
|
||||
WebkitUserSelect: "none",
|
||||
@@ -743,6 +724,45 @@ const FrontendPreviewPlayer: React.FC<FrontendPreviewPlayerProps> = ({
|
||||
</button>
|
||||
)}
|
||||
|
||||
{/* 静音/有声切换(#1741):左上角,默认有声;批量与单视频均可单独静音 */}
|
||||
{segments.length > 0 && (
|
||||
<button
|
||||
type="button"
|
||||
aria-label={muted ? "取消静音" : "静音"}
|
||||
title={muted ? "取消静音" : "静音"}
|
||||
onClick={() => setMuted((m) => !m)}
|
||||
style={{
|
||||
position: "absolute",
|
||||
top: 8,
|
||||
left: 8,
|
||||
width: compact ? 26 : 30,
|
||||
height: compact ? 26 : 30,
|
||||
display: "flex",
|
||||
alignItems: "center",
|
||||
justifyContent: "center",
|
||||
background: "rgba(0,0,0,0.45)",
|
||||
backdropFilter: "blur(8px)",
|
||||
WebkitBackdropFilter: "blur(8px)",
|
||||
border: "1px solid rgba(255,255,255,0.1)",
|
||||
borderRadius: "50%",
|
||||
color: muted ? "rgba(255,255,255,0.45)" : "rgba(255,255,255,0.92)",
|
||||
fontSize: compact ? 13 : 15,
|
||||
cursor: "pointer",
|
||||
zIndex: 10,
|
||||
padding: 0,
|
||||
transition: "background 0.15s, color 0.15s",
|
||||
}}
|
||||
onMouseEnter={(e) => {
|
||||
e.currentTarget.style.background = "rgba(0,0,0,0.65)"
|
||||
}}
|
||||
onMouseLeave={(e) => {
|
||||
e.currentTarget.style.background = "rgba(0,0,0,0.45)"
|
||||
}}
|
||||
>
|
||||
{muted ? <AudioMutedOutlined /> : <AudioOutlined />}
|
||||
</button>
|
||||
)}
|
||||
|
||||
{/* 片段指示器 — 右上角胶囊 */}
|
||||
<div
|
||||
style={{
|
||||
@@ -753,9 +773,9 @@ const FrontendPreviewPlayer: React.FC<FrontendPreviewPlayerProps> = ({
|
||||
backdropFilter: "blur(8px)",
|
||||
WebkitBackdropFilter: "blur(8px)",
|
||||
color: "rgba(255,255,255,0.9)",
|
||||
fontSize: 10,
|
||||
fontSize: compact ? 9 : 10,
|
||||
fontWeight: 500,
|
||||
padding: "2px 8px",
|
||||
padding: compact ? "1px 6px" : "2px 8px",
|
||||
borderRadius: 999,
|
||||
zIndex: 10,
|
||||
border: "1px solid rgba(255,255,255,0.1)",
|
||||
@@ -774,8 +794,8 @@ const FrontendPreviewPlayer: React.FC<FrontendPreviewPlayerProps> = ({
|
||||
right: 0,
|
||||
display: "flex",
|
||||
alignItems: "center",
|
||||
gap: 10,
|
||||
padding: "12px 16px 16px",
|
||||
gap: compact ? 6 : 10,
|
||||
padding: compact ? "8px 10px 10px" : "12px 16px 16px",
|
||||
background: "linear-gradient(transparent, rgba(0,0,0,0.7))",
|
||||
backdropFilter: "blur(4px)",
|
||||
WebkitBackdropFilter: "blur(4px)",
|
||||
@@ -788,10 +808,10 @@ const FrontendPreviewPlayer: React.FC<FrontendPreviewPlayerProps> = ({
|
||||
background: "rgba(255,255,255,0.15)",
|
||||
border: "none",
|
||||
color: "#fff",
|
||||
fontSize: 16,
|
||||
fontSize: compact ? 14 : 16,
|
||||
cursor: "pointer",
|
||||
width: 32,
|
||||
height: 32,
|
||||
width: compact ? 26 : 32,
|
||||
height: compact ? 26 : 32,
|
||||
borderRadius: "50%",
|
||||
display: "flex",
|
||||
alignItems: "center",
|
||||
@@ -811,9 +831,9 @@ const FrontendPreviewPlayer: React.FC<FrontendPreviewPlayerProps> = ({
|
||||
|
||||
<span
|
||||
style={{
|
||||
fontSize: 11,
|
||||
fontSize: compact ? 10 : 11,
|
||||
color: "rgba(255,255,255,0.85)",
|
||||
minWidth: 72,
|
||||
minWidth: compact ? 58 : 72,
|
||||
fontVariantNumeric: "tabular-nums",
|
||||
letterSpacing: 0.2,
|
||||
}}
|
||||
|
||||
@@ -1,96 +0,0 @@
|
||||
import React from "react"
|
||||
import { Typography } from "antd"
|
||||
import { PlayCircleOutlined, CloseCircleOutlined } from "@ant-design/icons"
|
||||
import type { GeneratedVideo } from "@/api/template-editor"
|
||||
import { ProgressIndicator } from "./result-panel/ProgressIndicator"
|
||||
import { ResultVideoCard } from "./result-panel/ResultVideoCard"
|
||||
|
||||
const { Text } = Typography
|
||||
|
||||
interface GenerateResultPanelProps {
|
||||
generated: boolean
|
||||
generating: boolean
|
||||
progress: number
|
||||
generateError: string | null
|
||||
generatedVideos: GeneratedVideo[]
|
||||
onVideoPreview: (video: GeneratedVideo) => void
|
||||
onDownload: () => void
|
||||
onShare: () => void
|
||||
onGoToLibrary: () => void
|
||||
}
|
||||
|
||||
const GenerateResultPanel: React.FC<GenerateResultPanelProps> = ({
|
||||
generated,
|
||||
generating,
|
||||
progress,
|
||||
generateError,
|
||||
generatedVideos,
|
||||
onVideoPreview,
|
||||
onDownload,
|
||||
onShare,
|
||||
onGoToLibrary,
|
||||
}) => {
|
||||
return (
|
||||
<div className="xx-generate-result">
|
||||
<div className="xx-result-header">
|
||||
<h3>生成结果</h3>
|
||||
{generated && generatedVideos.length > 0 && (
|
||||
<span className="xx-result-count">{generatedVideos.length} 个视频</span>
|
||||
)}
|
||||
</div>
|
||||
|
||||
{generating && <ProgressIndicator progress={progress} />}
|
||||
|
||||
{generateError && !generating && (
|
||||
<div className="xx-result-empty">
|
||||
<CloseCircleOutlined style={{ fontSize: 40, color: "#ff4d4f", marginBottom: 12 }} />
|
||||
<Text strong style={{ display: "block", marginBottom: 4 }}>
|
||||
生成失败
|
||||
</Text>
|
||||
<Text style={{ fontSize: 12, color: "var(--text-secondary)" }}>
|
||||
{typeof generateError === "string" ? generateError : "请重试"}
|
||||
</Text>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{!generated && !generating && !generateError && (
|
||||
<div className="xx-result-empty">
|
||||
<PlayCircleOutlined
|
||||
style={{ fontSize: 48, color: "var(--text-tertiary)", marginBottom: 12 }}
|
||||
/>
|
||||
<Text style={{ color: "var(--text-secondary)", fontSize: 13 }}>
|
||||
完成配置后点击「确认生成」
|
||||
</Text>
|
||||
<Text style={{ color: "var(--text-tertiary)", fontSize: 12, marginTop: 4 }}>
|
||||
生成的视频将在这里展示
|
||||
</Text>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{generated && generatedVideos.length > 0 && (
|
||||
<div className="xx-video-grid">
|
||||
{generatedVideos.map((video, idx) => (
|
||||
<ResultVideoCard
|
||||
key={video.id || idx}
|
||||
video={video}
|
||||
index={idx}
|
||||
onPreview={onVideoPreview}
|
||||
onDownload={onDownload}
|
||||
onShare={onShare}
|
||||
/>
|
||||
))}
|
||||
</div>
|
||||
)}
|
||||
|
||||
{generated && (
|
||||
<div className="xx-result-footer">
|
||||
<button className="xx-btn xx-btn-ghost xx-btn-block" onClick={onGoToLibrary}>
|
||||
前往成片库 →
|
||||
</button>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
)
|
||||
}
|
||||
|
||||
export default GenerateResultPanel
|
||||
@@ -1,380 +0,0 @@
|
||||
/**
|
||||
* 右侧预览视频面板 — 服务器渲染预览架构
|
||||
*
|
||||
* Step4+: 显示预览面板
|
||||
* Step5: 播放服务器渲染的真实视频(POST /generation/preview)
|
||||
*
|
||||
* 架构:
|
||||
* - 进入 Step4/5 时自动创建服务器预览渲染任务
|
||||
* - 轮询完成后用 <video> 标签播放返回的 video_url
|
||||
* - 标题样式编辑时 CSS TitleOverlay 实时叠加预览
|
||||
* - 素材/配音/BGM 变更自动重新渲染
|
||||
* - 标题文字/样式变更标记 stale,保留旧视频 + 显示"重新预览"按钮
|
||||
*
|
||||
* 点"确认生成"时走 confirm 路径,成品就是预览视频本身,100% 一致。
|
||||
*/
|
||||
import React, { useMemo, useRef, useState, useEffect } from "react"
|
||||
import { LoadingOutlined, ReloadOutlined, ExclamationCircleOutlined } from "@ant-design/icons"
|
||||
import { Button } from "antd"
|
||||
import type { TitleSettings } from "../types"
|
||||
import { getFontFamily } from "../constants"
|
||||
import type { ServerPreviewStatus } from "../hooks/useServerPreview"
|
||||
|
||||
interface PreviewVideoPanelProps {
|
||||
/** 服务器预览状态 */
|
||||
previewStatus: ServerPreviewStatus
|
||||
/** 服务器渲染视频 URL */
|
||||
videoUrl: string | null
|
||||
/** 渲染进度 0-100 */
|
||||
progress: number
|
||||
/** 错误信息 */
|
||||
error: string | null
|
||||
/** 重新预览回调 */
|
||||
onRetry: () => void
|
||||
/** 视频比例 */
|
||||
videoRatio: string
|
||||
/** 标题设置 — CSS 实时预览层 */
|
||||
titleSettings?: TitleSettings
|
||||
/** 素材数量 */
|
||||
assetCount?: number
|
||||
}
|
||||
|
||||
/* ── ASS 坐标系参数(与后端 ass_subtitle_builder.py 一致) ── */
|
||||
const TITLE_MARGIN_TOP = 120
|
||||
const TITLE_MARGIN_BOTTOM = 60
|
||||
const TITLE_MARGIN_SIDE = 40
|
||||
|
||||
/** 根据视频比例返回后端实际渲染分辨率(PlayResX × PlayResY) */
|
||||
function getResolution(ratio: string): { width: number; height: number } {
|
||||
switch (ratio) {
|
||||
case "16:9":
|
||||
return { width: 1920, height: 1080 }
|
||||
case "1:1":
|
||||
return { width: 1080, height: 1080 }
|
||||
case "9:16":
|
||||
default:
|
||||
return { width: 1080, height: 1920 }
|
||||
}
|
||||
}
|
||||
|
||||
function getPositionStyle(
|
||||
position: string,
|
||||
playResX: number,
|
||||
playResY: number,
|
||||
): React.CSSProperties {
|
||||
const sidePercent = (TITLE_MARGIN_SIDE / playResX) * 100
|
||||
switch (position) {
|
||||
case "bottom":
|
||||
return {
|
||||
bottom: `${(TITLE_MARGIN_BOTTOM / playResY) * 100}%`,
|
||||
left: `${sidePercent}%`,
|
||||
right: `${sidePercent}%`,
|
||||
textAlign: "center",
|
||||
}
|
||||
case "center":
|
||||
return {
|
||||
top: "50%",
|
||||
transform: "translateY(-50%)",
|
||||
left: `${sidePercent}%`,
|
||||
right: `${sidePercent}%`,
|
||||
textAlign: "center",
|
||||
}
|
||||
case "top":
|
||||
default:
|
||||
return {
|
||||
top: `${(TITLE_MARGIN_TOP / playResY) * 100}%`,
|
||||
left: `${sidePercent}%`,
|
||||
right: `${sidePercent}%`,
|
||||
textAlign: "center",
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
function buildTitleStyle(
|
||||
settings: TitleSettings,
|
||||
containerHeight: number,
|
||||
playResY: number,
|
||||
): React.CSSProperties {
|
||||
// 字号按容器高度与 PlayResY 的比例缩放,不设上限(与后端一致)
|
||||
const fontSizePx =
|
||||
containerHeight > 0
|
||||
? (settings.size / playResY) * containerHeight
|
||||
: (settings.size / playResY) * 400
|
||||
|
||||
const base: React.CSSProperties = {
|
||||
fontFamily: getFontFamily(settings.font),
|
||||
fontSize: `${fontSizePx}px`,
|
||||
color: settings.color || "#ffffff",
|
||||
fontWeight: settings.bold ? 700 : 400,
|
||||
fontStyle: settings.italic ? "italic" : "normal",
|
||||
lineHeight: 1.05,
|
||||
wordBreak: "break-word",
|
||||
pointerEvents: "none",
|
||||
userSelect: "none",
|
||||
}
|
||||
if (settings.stroke) base.WebkitTextStroke = "1px #000000"
|
||||
if (settings.shadow) base.textShadow = "2px 2px 4px rgba(0,0,0,0.8)"
|
||||
return base
|
||||
}
|
||||
|
||||
/** CSS 标题实时预览覆盖层 */
|
||||
const TitleOverlay: React.FC<{ titleSettings: TitleSettings; videoRatio: string }> = ({
|
||||
titleSettings,
|
||||
videoRatio,
|
||||
}) => {
|
||||
const containerRef = useRef<HTMLDivElement>(null)
|
||||
const [containerHeight, setContainerHeight] = useState(400)
|
||||
|
||||
useEffect(() => {
|
||||
const el = containerRef.current
|
||||
if (!el) return
|
||||
const ro = new ResizeObserver((entries) => {
|
||||
for (const entry of entries) {
|
||||
const h = entry.contentRect.height
|
||||
if (h > 0) setContainerHeight(h)
|
||||
}
|
||||
})
|
||||
ro.observe(el)
|
||||
const rect = el.getBoundingClientRect()
|
||||
if (rect.height > 0) setContainerHeight(rect.height)
|
||||
return () => ro.disconnect()
|
||||
}, [])
|
||||
|
||||
const { width: playResX, height: playResY } = getResolution(videoRatio)
|
||||
|
||||
const positionStyle = useMemo(
|
||||
() => getPositionStyle(titleSettings.position, playResX, playResY),
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
[titleSettings.position, playResX, playResY],
|
||||
)
|
||||
const titleStyle = useMemo(
|
||||
() => buildTitleStyle(titleSettings, containerHeight, playResY),
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
[
|
||||
containerHeight,
|
||||
titleSettings.font,
|
||||
titleSettings.size,
|
||||
titleSettings.color,
|
||||
titleSettings.bold,
|
||||
titleSettings.italic,
|
||||
titleSettings.stroke,
|
||||
titleSettings.shadow,
|
||||
playResY,
|
||||
],
|
||||
)
|
||||
|
||||
const displayTitle = titleSettings.title?.trim() || "标题预览"
|
||||
|
||||
return (
|
||||
<div
|
||||
ref={containerRef}
|
||||
style={{
|
||||
position: "absolute",
|
||||
inset: 0,
|
||||
zIndex: 20,
|
||||
pointerEvents: "none",
|
||||
overflow: "hidden",
|
||||
}}
|
||||
>
|
||||
<div style={{ ...positionStyle, ...titleStyle, position: "absolute" }}>
|
||||
{displayTitle.split(/[//]/).map((part, i) => (
|
||||
<span key={i}>
|
||||
{i > 0 && <br />}
|
||||
{part}
|
||||
</span>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
)
|
||||
}
|
||||
|
||||
/* ── 主组件 ── */
|
||||
|
||||
export const PreviewVideoPanel: React.FC<PreviewVideoPanelProps> = ({
|
||||
previewStatus,
|
||||
videoUrl,
|
||||
progress,
|
||||
error,
|
||||
onRetry,
|
||||
videoRatio,
|
||||
titleSettings,
|
||||
assetCount,
|
||||
}) => {
|
||||
const videoAspectStyle = { aspectRatio: (videoRatio || "9:16").replace(":", "/") }
|
||||
const isLoading = previewStatus === "loading"
|
||||
const isReady = previewStatus === "ready" || previewStatus === "stale"
|
||||
const isFailed = previewStatus === "failed"
|
||||
const isIdle = previewStatus === "idle"
|
||||
const isStale = previewStatus === "stale"
|
||||
|
||||
return (
|
||||
<div className="xx-generate-preview">
|
||||
<div className="xx-preview-header">
|
||||
<h3>预览视频</h3>
|
||||
{isReady && !isStale && <span className="xx-preview-badge">服务器渲染</span>}
|
||||
{isStale && (
|
||||
<span
|
||||
style={{
|
||||
fontSize: 12,
|
||||
color: "#faad14",
|
||||
display: "flex",
|
||||
alignItems: "center",
|
||||
gap: 4,
|
||||
}}
|
||||
>
|
||||
<ExclamationCircleOutlined /> 配置已变更
|
||||
</span>
|
||||
)}
|
||||
{isLoading && <span className="xx-preview-badge">渲染中</span>}
|
||||
</div>
|
||||
|
||||
<div className="xx-preview-video" style={{ ...videoAspectStyle, position: "relative" }}>
|
||||
{/* 加载中 */}
|
||||
{isLoading && (
|
||||
<div
|
||||
style={{
|
||||
position: "absolute",
|
||||
inset: 0,
|
||||
display: "flex",
|
||||
flexDirection: "column",
|
||||
alignItems: "center",
|
||||
justifyContent: "center",
|
||||
zIndex: 5,
|
||||
background: "rgba(0,0,0,0.6)",
|
||||
}}
|
||||
>
|
||||
<LoadingOutlined style={{ fontSize: 36, color: "#fff" }} spin />
|
||||
<p style={{ marginTop: 12, color: "rgba(255,255,255,0.9)", fontSize: 14 }}>
|
||||
正在渲染预览视频{progress > 0 ? `...${progress}%` : "..."}
|
||||
</p>
|
||||
<p style={{ marginTop: 4, color: "rgba(255,255,255,0.5)", fontSize: 12 }}>
|
||||
首次渲染约需 30-60 秒
|
||||
</p>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{/* 空闲状态(尚未触发预览) */}
|
||||
{isIdle && (
|
||||
<div
|
||||
style={{
|
||||
position: "absolute",
|
||||
inset: 0,
|
||||
display: "flex",
|
||||
flexDirection: "column",
|
||||
alignItems: "center",
|
||||
justifyContent: "center",
|
||||
background: "rgba(0,0,0,0.3)",
|
||||
zIndex: 5,
|
||||
}}
|
||||
>
|
||||
<p style={{ color: "rgba(255,255,255,0.7)", fontSize: 14 }}>等待素材选择...</p>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{/* 服务器渲染的真实视频 */}
|
||||
{isReady && videoUrl && (
|
||||
<video
|
||||
key={videoUrl}
|
||||
src={videoUrl}
|
||||
controls
|
||||
autoPlay
|
||||
loop
|
||||
playsInline
|
||||
style={{
|
||||
width: "100%",
|
||||
height: "100%",
|
||||
objectFit: "contain",
|
||||
position: "absolute",
|
||||
inset: 0,
|
||||
zIndex: 1,
|
||||
}}
|
||||
/>
|
||||
)}
|
||||
|
||||
{/* 标题样式实时预览层(仅在有视频时叠加) */}
|
||||
{isReady && titleSettings && (
|
||||
<TitleOverlay titleSettings={titleSettings} videoRatio={videoRatio} />
|
||||
)}
|
||||
|
||||
{/* stale 遮罩:配置变更提示 */}
|
||||
{isStale && (
|
||||
<div
|
||||
style={{
|
||||
position: "absolute",
|
||||
bottom: 0,
|
||||
left: 0,
|
||||
right: 0,
|
||||
padding: "10px 16px",
|
||||
background: "linear-gradient(transparent, rgba(0,0,0,0.85))",
|
||||
display: "flex",
|
||||
alignItems: "center",
|
||||
justifyContent: "space-between",
|
||||
gap: 8,
|
||||
zIndex: 30,
|
||||
}}
|
||||
>
|
||||
<span style={{ color: "rgba(255,255,255,0.9)", fontSize: 12 }}>
|
||||
配置已变更,预览内容可能不是最新
|
||||
</span>
|
||||
<Button size="small" type="primary" icon={<ReloadOutlined />} onClick={onRetry}>
|
||||
重新预览
|
||||
</Button>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{/* 错误状态 */}
|
||||
{isFailed && (
|
||||
<div
|
||||
style={{
|
||||
position: "absolute",
|
||||
inset: 0,
|
||||
display: "flex",
|
||||
flexDirection: "column",
|
||||
alignItems: "center",
|
||||
justifyContent: "center",
|
||||
background: "rgba(0,0,0,0.7)",
|
||||
zIndex: 10,
|
||||
padding: 24,
|
||||
}}
|
||||
>
|
||||
<ExclamationCircleOutlined style={{ fontSize: 40, color: "#ff4d4f" }} />
|
||||
<p
|
||||
style={{
|
||||
marginTop: 12,
|
||||
color: "rgba(255,255,255,0.9)",
|
||||
fontSize: 14,
|
||||
textAlign: "center",
|
||||
}}
|
||||
>
|
||||
{error || "预览渲染失败"}
|
||||
</p>
|
||||
<Button
|
||||
type="primary"
|
||||
icon={<ReloadOutlined />}
|
||||
onClick={onRetry}
|
||||
style={{ marginTop: 12 }}
|
||||
>
|
||||
重新预览
|
||||
</Button>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
|
||||
{/* 素材信息 */}
|
||||
{assetCount !== undefined && assetCount > 0 && (
|
||||
<div className="xx-preview-info">
|
||||
<div className="xx-preview-info-row">
|
||||
<span>素材数</span>
|
||||
<span>{assetCount} 个</span>
|
||||
</div>
|
||||
<div className="xx-preview-info-row">
|
||||
<span>比例</span>
|
||||
<span>{videoRatio}</span>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
)
|
||||
}
|
||||
|
||||
export default PreviewVideoPanel
|
||||
@@ -37,6 +37,12 @@ const isAiVoice = (item: AssetItem): boolean => {
|
||||
return (!duration || duration <= 0) && (!size || size <= 0)
|
||||
}
|
||||
|
||||
/** 格式化时长(秒 → "14.7秒";0/无效 → "时长未知",不做任何时长过滤) */
|
||||
const formatDurationSeconds = (seconds?: number): string => {
|
||||
if (!seconds || seconds <= 0) return "时长未知"
|
||||
return `${seconds.toFixed(1)}秒`
|
||||
}
|
||||
|
||||
/** 格式化文件大小 */
|
||||
const formatFileSize = (bytes?: number): string => {
|
||||
if (!bytes || bytes <= 0) return "未知"
|
||||
@@ -261,7 +267,9 @@ const Step5VoiceSelect: React.FC<Step5VoiceSelectProps> = ({
|
||||
>
|
||||
{isAiVoice(item) ? (
|
||||
<span style={{ color: "#1677ff", fontWeight: 500 }}>AI 音色</span>
|
||||
) : null}
|
||||
) : (
|
||||
<span>{formatDurationSeconds(getDuration(item))}</span>
|
||||
)}
|
||||
<span>{isAiVoice(item) ? "按文本合成" : formatFileSize(getFileSize(item))}</span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@@ -91,11 +91,13 @@ const Step6CoverSettings: React.FC<Step6CoverSettingsProps> = (props) => {
|
||||
shadow: props.titleSettings?.shadow ?? false,
|
||||
},
|
||||
covers: batchCoversList,
|
||||
onCoversChange: (urls) => {
|
||||
// 按卡片顺序写回对应变体索引
|
||||
onCoversChange: (updater) => {
|
||||
// 按卡片顺序写回对应变体索引;支持函数式 updater(#1750:串行回写避免闭包覆盖)
|
||||
const prevCardView = cardIndexes.map((vi) => (props.previewCovers || [])[vi] || "")
|
||||
const nextCardView = typeof updater === "function" ? updater(prevCardView) : updater
|
||||
const next = [...(props.previewCovers || [])]
|
||||
cardIndexes.forEach((vi, cardPos) => {
|
||||
next[vi] = urls[cardPos] || ""
|
||||
next[vi] = nextCardView[cardPos] || ""
|
||||
})
|
||||
props.onPreviewCoversChange?.(next)
|
||||
},
|
||||
@@ -142,7 +144,8 @@ const Step6CoverSettings: React.FC<Step6CoverSettingsProps> = (props) => {
|
||||
<Button
|
||||
buttonType="primary"
|
||||
onClick={() => void batchCovers.generateAll()}
|
||||
disabled={completedVideos.length === 0 || batchCovers.loadingIndex !== null}
|
||||
disabled={completedVideos.length === 0 || batchCovers.busyIndexes.length > 0}
|
||||
style={{ whiteSpace: "nowrap", flexShrink: 0 }}
|
||||
>
|
||||
✨ 一键全部自动生成
|
||||
</Button>
|
||||
@@ -151,8 +154,8 @@ const Step6CoverSettings: React.FC<Step6CoverSettingsProps> = (props) => {
|
||||
<div className="xx-cover-grid">
|
||||
{cardIndexes.map((variantIndex, cardPos) => {
|
||||
const url = batchCoversList[cardPos]
|
||||
const isLoading = batchCovers.loadingIndex === cardPos
|
||||
const isUploading = batchCovers.uploadingIndex === cardPos
|
||||
const isLoading = batchCovers.busyIndexes.includes(cardPos)
|
||||
const isUploading = batchCovers.uploadingIndexes.includes(cardPos)
|
||||
const title = batchTitles[cardPos]
|
||||
return (
|
||||
<div className="xx-cover-card" key={variantIndex}>
|
||||
|
||||
@@ -1,40 +0,0 @@
|
||||
import React from "react"
|
||||
import { Typography } from "antd"
|
||||
|
||||
const { Text } = Typography
|
||||
|
||||
interface ProgressIndicatorProps {
|
||||
progress: number
|
||||
}
|
||||
|
||||
export const ProgressIndicator: React.FC<ProgressIndicatorProps> = ({ progress }) => {
|
||||
return (
|
||||
<div className="xx-result-progress">
|
||||
<div className="xx-progress-circle">
|
||||
<svg viewBox="0 0 80 80">
|
||||
<circle cx="40" cy="40" r="36" fill="none" stroke="var(--border-color)" strokeWidth="6" />
|
||||
<circle
|
||||
cx="40"
|
||||
cy="40"
|
||||
r="36"
|
||||
fill="none"
|
||||
stroke="var(--primary-color)"
|
||||
strokeWidth="6"
|
||||
strokeDasharray={`${Math.round(progress) * 2.26} 226`}
|
||||
strokeLinecap="round"
|
||||
transform="rotate(-90 40 40)"
|
||||
/>
|
||||
</svg>
|
||||
<span className="xx-progress-percent">{Math.round(progress)}%</span>
|
||||
</div>
|
||||
<div className="xx-progress-text">
|
||||
<Text strong style={{ fontSize: 14, display: "block", marginBottom: 4 }}>
|
||||
正在生成视频
|
||||
</Text>
|
||||
<Text style={{ fontSize: 12, color: "var(--text-secondary)" }}>
|
||||
AI 正在处理素材,请稍候…
|
||||
</Text>
|
||||
</div>
|
||||
</div>
|
||||
)
|
||||
}
|
||||
@@ -1,63 +0,0 @@
|
||||
import React from "react"
|
||||
import { PlayCircleOutlined, DownloadOutlined, ShareAltOutlined } from "@ant-design/icons"
|
||||
import type { GeneratedVideo } from "@/api/template-editor"
|
||||
import { formatDuration } from "@/api/voice-clone"
|
||||
|
||||
interface ResultVideoCardProps {
|
||||
video: GeneratedVideo
|
||||
index: number
|
||||
onPreview: (video: GeneratedVideo) => void
|
||||
onDownload: () => void
|
||||
onShare: () => void
|
||||
}
|
||||
|
||||
export const ResultVideoCard: React.FC<ResultVideoCardProps> = ({
|
||||
video,
|
||||
index,
|
||||
onPreview,
|
||||
onDownload,
|
||||
onShare,
|
||||
}) => {
|
||||
return (
|
||||
<div className="xx-video-card" onClick={() => onPreview(video)}>
|
||||
<div className="xx-video-thumb">
|
||||
{video.thumbnail_url ? (
|
||||
<img src={video.thumbnail_url} alt="" />
|
||||
) : (
|
||||
<div className="xx-video-thumb-placeholder">
|
||||
<PlayCircleOutlined style={{ fontSize: 32, opacity: 0.5 }} />
|
||||
</div>
|
||||
)}
|
||||
<div className="xx-video-play-overlay">
|
||||
<PlayCircleOutlined style={{ fontSize: 36, color: "#fff" }} />
|
||||
</div>
|
||||
{video.duration && (
|
||||
<span className="xx-video-duration">{formatDuration(video.duration)}</span>
|
||||
)}
|
||||
</div>
|
||||
<div className="xx-video-info">
|
||||
<div className="xx-video-title">视频 {index + 1}</div>
|
||||
<div className="xx-video-actions">
|
||||
<button
|
||||
className="xx-video-action-btn"
|
||||
onClick={(e) => {
|
||||
e.stopPropagation()
|
||||
onDownload()
|
||||
}}
|
||||
>
|
||||
<DownloadOutlined />
|
||||
</button>
|
||||
<button
|
||||
className="xx-video-action-btn"
|
||||
onClick={(e) => {
|
||||
e.stopPropagation()
|
||||
onShare()
|
||||
}}
|
||||
>
|
||||
<ShareAltOutlined />
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
)
|
||||
}
|
||||
@@ -3282,13 +3282,24 @@
|
||||
/* ============================================================
|
||||
批量前端 Canvas 预览网格(Issue #1677 修正:纯前端实时预览)
|
||||
============================================================ */
|
||||
/* #1741:卡片整体缩小至约 3/5——宽屏排 3 列(卡片限宽 220px 居中),
|
||||
中屏自动回退 2 列,窄屏 1 列(见下方媒体查询);卡片保持 9:16 比例不变形 */
|
||||
.xx-canvas-grid {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(2, 1fr);
|
||||
gap: 16px;
|
||||
grid-template-columns: repeat(auto-fill, minmax(200px, 220px));
|
||||
justify-content: center;
|
||||
gap: 14px;
|
||||
}
|
||||
|
||||
/* 窄屏单列时卡片限宽居中,避免 1fr 拉伸导致卡片过高 */
|
||||
@media (max-width: 960px) {
|
||||
.xx-canvas-grid {
|
||||
grid-template-columns: minmax(0, 320px);
|
||||
}
|
||||
}
|
||||
|
||||
.xx-canvas-grid-card {
|
||||
position: relative;
|
||||
border: 2px solid var(--border-primary, #e2e8f0);
|
||||
border-radius: 12px;
|
||||
overflow: hidden;
|
||||
@@ -3330,6 +3341,37 @@
|
||||
accent-color: var(--primary-color, #1677ff);
|
||||
}
|
||||
|
||||
/* #1750:批量变体片段加载/错误占位(9:16 竖屏比例,与播放器卡片同尺寸防塌陷) */
|
||||
.xx-variant-clips-status {
|
||||
position: relative;
|
||||
width: 100%;
|
||||
aspect-ratio: 9 / 16;
|
||||
max-height: 70vh;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
gap: 4px;
|
||||
font-size: 13px;
|
||||
color: rgba(255, 255, 255, 0.75);
|
||||
background: #0a0a0a;
|
||||
border-radius: 16px;
|
||||
overflow: hidden;
|
||||
box-shadow:
|
||||
0 4px 6px -1px rgba(0, 0, 0, 0.3),
|
||||
0 20px 50px -12px rgba(0, 0, 0, 0.5),
|
||||
inset 0 0 0 1px rgba(255, 255, 255, 0.06);
|
||||
}
|
||||
|
||||
.xx-variant-clips-status .anticon {
|
||||
font-size: 22px;
|
||||
}
|
||||
|
||||
.xx-variant-clips-error-text {
|
||||
color: rgba(255, 255, 255, 0.85);
|
||||
font-size: 13px;
|
||||
}
|
||||
|
||||
/* ============================================================
|
||||
批量标题:AI 一键生成行(Issue #1677)
|
||||
============================================================ */
|
||||
@@ -3435,9 +3477,8 @@
|
||||
word-break: break-word;
|
||||
}
|
||||
|
||||
/* ── 响应式:窄屏批量网格回退单列 ── */
|
||||
/* ── 响应式:窄屏批量网格回退单列(.xx-canvas-grid 的窄屏限宽见网格定义处 #1741) ── */
|
||||
@media (max-width: 960px) {
|
||||
.xx-canvas-grid,
|
||||
.xx-batch-gen-grid {
|
||||
grid-template-columns: 1fr;
|
||||
}
|
||||
|
||||
@@ -42,6 +42,12 @@ export interface UseGenerateVideoProps {
|
||||
variantCoverUrls?: string[]
|
||||
/** 勾选要生成的变体索引(批量模式) */
|
||||
selectedVariantIndexes?: number[]
|
||||
/**
|
||||
* 批量变体剪辑计划 ID(#1744,按变体全量索引长度=previewCount):
|
||||
* 预览阶段后端独立选片产出,正式生成按勾选顺序回传,实现预览即成片;
|
||||
* 为空(降级本地模拟/后端未上线)时不传,后端自行独立选片。
|
||||
*/
|
||||
variantPlanIds?: string[]
|
||||
}
|
||||
|
||||
/** 生成阶段 */
|
||||
|
||||
@@ -13,21 +13,22 @@ interface UseSmartMatchOptions {
|
||||
}
|
||||
|
||||
/** 默认 limit(拿不到目标时长时的兜底上限) */
|
||||
const DEFAULT_LIMIT = 10
|
||||
/** 每个素材切片按 15 秒估算所需素材数 */
|
||||
const SECONDS_PER_ASSET = 15
|
||||
const DEFAULT_LIMIT = 30
|
||||
/**
|
||||
* 候选池放大倍数(#1744):批量 N 个变体独立选片、跨变体 20% 区间避让需要
|
||||
* 足够大的素材池才能保证 N 条成片素材排布互不相同(历史已用区间写回素材 metadata)。
|
||||
* 旧规则「总时长/15 秒」只够 1 条成片的选片量,池太小会导致变体间大量复用同区间。
|
||||
*/
|
||||
const ASSET_POOL_MULTIPLIER = 3
|
||||
|
||||
/**
|
||||
* 根据模板 segments 计算所需素材数量上限。
|
||||
* 取每个 segment 的 duration_min 之和作为目标视频总时长,
|
||||
* 再按 15 秒/素材估算需要多少个素材,且保证不少于片段数(每个片段至少 1 个素材);
|
||||
* 结果钳制到 [1, 200] 区间(后端 limit 上限 200)。
|
||||
* 根据模板 segments 计算智能匹配候选素材数量上限(#1750:模板无时长概念)。
|
||||
* 候选池 = 片段数 × 3:每个片段至少 3 个候选素材供变体间洗牌/避让
|
||||
* (独立选片 + 区间不重叠);结果钳制到 [1, 200] 区间(后端 limit 上限 200)。
|
||||
*/
|
||||
function computeLimitFromSegments(segments?: TemplateSegment[]): number {
|
||||
export function computeLimitFromSegments(segments?: TemplateSegment[]): number {
|
||||
if (!segments || segments.length === 0) return DEFAULT_LIMIT
|
||||
const totalSeconds = segments.reduce((sum, seg) => sum + (seg.duration_min || 0), 0)
|
||||
if (totalSeconds <= 0) return DEFAULT_LIMIT
|
||||
const limit = Math.max(segments.length, Math.ceil(totalSeconds / SECONDS_PER_ASSET))
|
||||
const limit = segments.length * ASSET_POOL_MULTIPLIER
|
||||
return Math.max(1, Math.min(limit, 200))
|
||||
}
|
||||
|
||||
|
||||
@@ -1,6 +1,13 @@
|
||||
/**
|
||||
* 批量封面 Hook(Issue #1677)
|
||||
* 批量封面 Hook(Issue #1677 / #1750 修复)
|
||||
* N 个视频时:逐个自动生成封面(从对应成片抽帧 + 叠加对应标题)或上传自定义封面
|
||||
*
|
||||
* #1750 修复:
|
||||
* - patchCover 改为函数式 updater 回写(onCoversChange 支持 (prev)=>next),
|
||||
* 修复串行 generateAll 时闭包捕获旧 covers 数组导致回写互相覆盖的 bug;
|
||||
* - loading/uploading 状态改数组(busyIndexes/uploadingIndexes),支持多个卡片在途;
|
||||
* - generateOne 返回 boolean,generateAll 据此统计成功/失败数量分级提示,单个失败不阻塞;
|
||||
* - generateAll 一次点击即处理所有未生成封面(无需点 3 次)。
|
||||
*/
|
||||
import { useCallback, useState } from "react"
|
||||
import { message } from "antd"
|
||||
@@ -8,6 +15,9 @@ import { generateCover } from "@/api/generation"
|
||||
import { uploadAssetDirect, getAssetLibraries } from "@/api/assets"
|
||||
import type { GeneratedVideo } from "@/api/template-editor"
|
||||
|
||||
/** onCoversChange 支持直接传值或函数式 updater(函数式用于串行回写避免闭包覆盖) */
|
||||
type CoversChangeFn = (updater: string[] | ((prev: string[]) => string[])) => void
|
||||
|
||||
interface UseBatchCoversOptions {
|
||||
selectedTemplate: string
|
||||
generatedVideos: GeneratedVideo[]
|
||||
@@ -24,7 +34,7 @@ interface UseBatchCoversOptions {
|
||||
shadow: boolean
|
||||
}
|
||||
covers: string[]
|
||||
onCoversChange: (urls: string[]) => void
|
||||
onCoversChange: CoversChangeFn
|
||||
}
|
||||
|
||||
export function useBatchCovers({
|
||||
@@ -35,28 +45,46 @@ export function useBatchCovers({
|
||||
covers,
|
||||
onCoversChange,
|
||||
}: UseBatchCoversOptions) {
|
||||
const [loadingIndex, setLoadingIndex] = useState<number | null>(null)
|
||||
const [uploadingIndex, setUploadingIndex] = useState<number | null>(null)
|
||||
/** 正在自动生成封面的变体序号集合(数组支持多个卡片同时在途) */
|
||||
const [busyIndexes, setBusyIndexes] = useState<number[]>([])
|
||||
/** 正在上传自定义封面的变体序号集合 */
|
||||
const [uploadingIndexes, setUploadingIndexes] = useState<number[]>([])
|
||||
|
||||
const addBusy = useCallback((i: number) => {
|
||||
setBusyIndexes((prev) => (prev.includes(i) ? prev : [...prev, i]))
|
||||
}, [])
|
||||
const removeBusy = useCallback((i: number) => {
|
||||
setBusyIndexes((prev) => prev.filter((x) => x !== i))
|
||||
}, [])
|
||||
const addUploading = useCallback((i: number) => {
|
||||
setUploadingIndexes((prev) => (prev.includes(i) ? prev : [...prev, i]))
|
||||
}, [])
|
||||
const removeUploading = useCallback((i: number) => {
|
||||
setUploadingIndexes((prev) => prev.filter((x) => x !== i))
|
||||
}, [])
|
||||
|
||||
/** 函数式回写单个封面位置(基于最新 prev,不受闭包旧值影响) */
|
||||
const patchCover = useCallback(
|
||||
(index: number, url: string) => {
|
||||
const next = [...covers]
|
||||
next[index] = url
|
||||
onCoversChange(next)
|
||||
onCoversChange((prev) => {
|
||||
const next = [...prev]
|
||||
next[index] = url
|
||||
return next
|
||||
})
|
||||
},
|
||||
[covers, onCoversChange],
|
||||
[onCoversChange],
|
||||
)
|
||||
|
||||
/** 为第 index 个视频自动生成封面 */
|
||||
/** 为第 index 个视频自动生成封面;返回是否成功(供 generateAll 统计) */
|
||||
const generateOne = useCallback(
|
||||
async (index: number) => {
|
||||
async (index: number): Promise<boolean> => {
|
||||
const finalVideos = generatedVideos.filter((v) => v.status === "completed")
|
||||
const target = finalVideos[index] || generatedVideos[index]
|
||||
if (!target) {
|
||||
message.warning("该视频尚未生成完成")
|
||||
return
|
||||
return false
|
||||
}
|
||||
setLoadingIndex(index)
|
||||
addBusy(index)
|
||||
try {
|
||||
const titleText = titles[index] || ""
|
||||
const response = await generateCover(selectedTemplate, {
|
||||
@@ -82,23 +110,25 @@ export function useBatchCovers({
|
||||
if (url) {
|
||||
patchCover(index, url)
|
||||
message.success(`视频 ${index + 1} 封面生成成功`)
|
||||
} else {
|
||||
message.warning(`视频 ${index + 1} 封面生成未返回图片,请重试`)
|
||||
return true
|
||||
}
|
||||
message.warning(`视频 ${index + 1} 封面生成未返回图片,请重试`)
|
||||
return false
|
||||
} catch (err) {
|
||||
console.error(`[封面] 视频 ${index + 1} 生成失败:`, err)
|
||||
message.error(`视频 ${index + 1} 封面生成失败,请重试`)
|
||||
return false
|
||||
} finally {
|
||||
setLoadingIndex(null)
|
||||
removeBusy(index)
|
||||
}
|
||||
},
|
||||
[generatedVideos, titles, titleStyle, selectedTemplate, patchCover],
|
||||
[generatedVideos, titles, titleStyle, selectedTemplate, patchCover, addBusy, removeBusy],
|
||||
)
|
||||
|
||||
/** 为第 index 个视频上传自定义封面 */
|
||||
const uploadOne = useCallback(
|
||||
async (index: number, file: File) => {
|
||||
setUploadingIndex(index)
|
||||
addUploading(index)
|
||||
try {
|
||||
const libs = await getAssetLibraries()
|
||||
const imageLib = libs.find((l) => l.kind === "image") || libs[0]
|
||||
@@ -121,26 +151,43 @@ export function useBatchCovers({
|
||||
console.error(`[封面] 视频 ${index + 1} 上传失败:`, err)
|
||||
message.error("封面上传失败,请重试")
|
||||
} finally {
|
||||
setUploadingIndex(null)
|
||||
removeUploading(index)
|
||||
}
|
||||
},
|
||||
[patchCover],
|
||||
[patchCover, addUploading, removeUploading],
|
||||
)
|
||||
|
||||
/** 一键全部自动生成(串行,避免队列限流) */
|
||||
/** 一键全部自动生成(串行,避免队列限流;单个失败不阻塞,结束后分级提示) */
|
||||
const generateAll = useCallback(async () => {
|
||||
const finalVideos = generatedVideos.filter((v) => v.status === "completed")
|
||||
for (let i = 0; i < finalVideos.length; i++) {
|
||||
if (covers[i]) continue // 已有封面跳过
|
||||
const total = finalVideos.length
|
||||
// 待处理:基于调用时刻的 covers 快照判断(已有封面跳过);
|
||||
// 回写走函数式 updater,循环内不再依赖可能过期的 covers 闭包
|
||||
const pending = finalVideos.map((_, i) => i).filter((i) => !covers[i])
|
||||
if (pending.length === 0) {
|
||||
message.info("所有视频封面已生成")
|
||||
return
|
||||
}
|
||||
let okCount = 0
|
||||
let failCount = 0
|
||||
for (const i of pending) {
|
||||
// eslint-disable-next-line no-await-in-loop
|
||||
await generateOne(i)
|
||||
const ok = await generateOne(i)
|
||||
if (ok) okCount += 1
|
||||
else failCount += 1
|
||||
}
|
||||
if (failCount === 0) {
|
||||
message.success(`全部 ${total} 个封面已生成`)
|
||||
} else if (okCount === 0) {
|
||||
message.error("封面生成全部失败,请重试")
|
||||
} else {
|
||||
message.warning(`已生成 ${okCount} 个封面,${failCount} 个失败,请对失败项重试`)
|
||||
}
|
||||
message.success("全部封面已生成")
|
||||
}, [generatedVideos, covers, generateOne])
|
||||
|
||||
return {
|
||||
loadingIndex,
|
||||
uploadingIndex,
|
||||
busyIndexes,
|
||||
uploadingIndexes,
|
||||
generateOne,
|
||||
uploadOne,
|
||||
generateAll,
|
||||
|
||||
@@ -0,0 +1,153 @@
|
||||
/**
|
||||
* 批量变体真实片段 Hook(#1744 接入 / #1750 修正)
|
||||
*
|
||||
* 批量预览(N>1)进入第 4 步时,向后端轻量接口 POST /generation/variant-plans
|
||||
* 申请 N 个变体的独立剪辑计划片段:
|
||||
* - 接口只做选片/建 plan(秒级),不渲染视频,无渲染成本;
|
||||
* - 选片逻辑与正式批量生成(POST /generation/tasks?count=N)完全同源
|
||||
* (reselect_plan_for_variant:素材洗牌 + main 片段洗牌 + 起点随机 +
|
||||
* 跨变体 20% 区间避让 + 使用区间写回素材 metadata),
|
||||
* 因此前端按这些 clips 播放的预览与最终成片一致;
|
||||
* - 正式生成时把 plan_ids 回传,后端直接关联预览 plan 渲染,不再重新选片。
|
||||
*
|
||||
* 错误处理(#1750 基线:严禁用前端假数据冒充预览):
|
||||
* - 端点 404(后端未上线)/ 400 / 网络错误 / 超时:一律置 error 状态,
|
||||
* UI 显示「预览加载失败,请重试」,不再静默降级本地模拟;
|
||||
* - 单个变体 clips 为空同样视为加载失败(计划数据不完整)。
|
||||
*
|
||||
* N=1 不调用本 hook(单视频零回归)。
|
||||
*/
|
||||
import { useCallback, useEffect, useRef, useState } from "react"
|
||||
import type { EditPlanClip } from "@/api/template-editor"
|
||||
import { createBatchVariantPlans, type VariantPlan } from "@/api/generation/variantPlans"
|
||||
|
||||
export interface BatchVariantClipsState {
|
||||
/** 各变体的服务端真实片段(按 variant_index 排序);未就绪为空数组 */
|
||||
clipsByVariant: EditPlanClip[][]
|
||||
/** 各变体的 plan_id(正式生成回传,保证预览即成片);未就绪为空串 */
|
||||
planIdsByVariant: string[]
|
||||
/** 是否正在向后端申请变体计划 */
|
||||
loading: boolean
|
||||
/** 后端真实片段是否全部可用(每个变体都有 ≥1 条片段) */
|
||||
ready: boolean
|
||||
/** 加载失败(端点未上线/网络错误/数据不完整);true 时 UI 显示错误态+重试 */
|
||||
error: boolean
|
||||
/** 用户点击「重试」:强制重新申请变体计划 */
|
||||
retry: () => void
|
||||
}
|
||||
|
||||
interface UseBatchVariantPlansOptions {
|
||||
/** 是否启用:仅批量(count>1)且素材已选时为 true */
|
||||
enabled: boolean
|
||||
count: number
|
||||
templateId: string
|
||||
assetIds: string[]
|
||||
/** 源剪辑计划 ID(草稿/预览关联),无则空串由后端兜底最新 plan */
|
||||
sourcePlanId?: string
|
||||
}
|
||||
|
||||
export function useBatchVariantPlans({
|
||||
enabled,
|
||||
count,
|
||||
templateId,
|
||||
assetIds,
|
||||
sourcePlanId = "",
|
||||
}: UseBatchVariantPlansOptions): BatchVariantClipsState {
|
||||
const [clipsByVariant, setClipsByVariant] = useState<EditPlanClip[][]>([])
|
||||
const [planIdsByVariant, setPlanIdsByVariant] = useState<string[]>([])
|
||||
const [loading, setLoading] = useState(false)
|
||||
const [error, setError] = useState(false)
|
||||
|
||||
const requestSeqRef = useRef(0)
|
||||
// 记录上次成功申请的入参指纹,素材/数量未变时不重复请求
|
||||
const lastKeyRef = useRef("")
|
||||
// 重试计数(state):用户点重试时 +1,驱动 effect 重新发起请求(即使指纹相同);
|
||||
// 用 state 而非 ref + 直接调 load,避免 retry 与 effect 双发导致 seq 竞争
|
||||
const [retryNonce, setRetryNonce] = useState(0)
|
||||
|
||||
const load = useCallback(async () => {
|
||||
const seq = ++requestSeqRef.current
|
||||
setLoading(true)
|
||||
setError(false)
|
||||
try {
|
||||
const resp = await createBatchVariantPlans({
|
||||
template_id: templateId,
|
||||
asset_ids: assetIds,
|
||||
count,
|
||||
...(sourcePlanId ? { source_edit_plan_id: sourcePlanId } : {}),
|
||||
})
|
||||
if (seq !== requestSeqRef.current) return
|
||||
|
||||
const items: VariantPlan[] = Array.isArray(resp.items) ? resp.items : []
|
||||
const clips: EditPlanClip[][] = Array.from({ length: count }, () => [])
|
||||
const planIds: string[] = Array.from({ length: count }, () => "")
|
||||
for (const item of items) {
|
||||
const idx = item.variant_index
|
||||
if (idx < 0 || idx >= count) continue
|
||||
planIds[idx] = item.plan_id || ""
|
||||
clips[idx] = (item.clips || [])
|
||||
.filter((c) => c && c.asset_id && c.status === "ready")
|
||||
.sort((a, b) => a.order - b.order)
|
||||
}
|
||||
// 数据完整性校验:每个变体都必须有真实片段,否则视为失败(不允许假数据冒充)
|
||||
const incomplete = clips.some((list) => list.length === 0)
|
||||
if (incomplete) {
|
||||
console.warn("[useBatchVariantPlans] 变体计划数据不完整(存在空片段变体),标记加载失败")
|
||||
setClipsByVariant([])
|
||||
setPlanIdsByVariant([])
|
||||
setError(true)
|
||||
} else {
|
||||
setClipsByVariant(clips)
|
||||
setPlanIdsByVariant(planIds)
|
||||
setError(false)
|
||||
}
|
||||
} catch (err) {
|
||||
if (seq !== requestSeqRef.current) return
|
||||
// 404(后端端点未上线)/ 400(参数错误)/ 网络错误 / 超时:统一错误态
|
||||
console.warn("[useBatchVariantPlans] 申请变体计划失败,预览加载失败:", err)
|
||||
setClipsByVariant([])
|
||||
setPlanIdsByVariant([])
|
||||
setError(true)
|
||||
} finally {
|
||||
if (seq === requestSeqRef.current) setLoading(false)
|
||||
}
|
||||
}, [templateId, count, sourcePlanId, assetIds])
|
||||
|
||||
/** 用户点击「重试」:nonce +1 驱动 effect 重新发起请求(effect 内 lastKey 校验保证只发一次) */
|
||||
const retry = useCallback(() => {
|
||||
setRetryNonce((n) => n + 1)
|
||||
}, [])
|
||||
|
||||
useEffect(() => {
|
||||
if (!enabled || !templateId || assetIds.length === 0 || count <= 1) {
|
||||
requestSeqRef.current += 1
|
||||
// 函数式更新:已是目标值时返回 prev(Object.is 相等 React 跳过渲染),
|
||||
// 避免父组件传入内联字面量数组导致 effect 每次 render 触发 → 无限 setState 循环
|
||||
setClipsByVariant((prev) => (prev.length === 0 ? prev : []))
|
||||
setPlanIdsByVariant((prev) => (prev.length === 0 ? prev : []))
|
||||
setLoading((prev) => (prev === false ? prev : false))
|
||||
setError((prev) => (prev === false ? prev : false))
|
||||
lastKeyRef.current = ""
|
||||
return
|
||||
}
|
||||
const key = `${retryNonce}|${templateId}|${count}|${sourcePlanId}|${[...assetIds]
|
||||
.sort()
|
||||
.join(",")}`
|
||||
if (key === lastKeyRef.current) return
|
||||
lastKeyRef.current = key
|
||||
load()
|
||||
}, [enabled, templateId, count, sourcePlanId, assetIds, load, retryNonce])
|
||||
|
||||
const ready = !error && !loading && clipsByVariant.every((list) => list.length > 0)
|
||||
|
||||
return {
|
||||
clipsByVariant,
|
||||
planIdsByVariant,
|
||||
loading,
|
||||
ready,
|
||||
error,
|
||||
retry,
|
||||
}
|
||||
}
|
||||
|
||||
export default useBatchVariantPlans
|
||||
@@ -178,6 +178,14 @@ export function useGenerateVideo(props: UseGenerateVideoProps) {
|
||||
isBatch && props.variantCoverUrls?.length
|
||||
? indexes.map((i) => props.variantCoverUrls![i] || "")
|
||||
: []
|
||||
// #1744 变体 plan 数组:预览阶段后端独立选片产出的 plan id,按勾选顺序回传,
|
||||
// 后端直接关联这些 plan 渲染(不再重新选片)→ 预览所见即成片。
|
||||
// 全部为空(降级本地模拟/后端端点未上线)时不传,后端走自身独立选片。
|
||||
const variantPlansArr =
|
||||
isBatch && props.variantPlanIds?.length
|
||||
? indexes.map((i) => props.variantPlanIds![i] || "")
|
||||
: []
|
||||
const hasVariantPlans = variantPlansArr.some((id) => !!id)
|
||||
|
||||
try {
|
||||
const taskResp = await createGenerationTask({
|
||||
@@ -200,6 +208,7 @@ export function useGenerateVideo(props: UseGenerateVideoProps) {
|
||||
...(titlesArr.length ? { titles: titlesArr } : {}),
|
||||
...(voiceArr.length ? { voice_library_ids: voiceArr } : {}),
|
||||
...(coversArr.length ? { cover_urls: coversArr } : {}),
|
||||
...(hasVariantPlans ? { variant_plan_ids: variantPlansArr } : {}),
|
||||
...(props.titleSettings?.title
|
||||
? {
|
||||
title_config: {
|
||||
|
||||
@@ -44,6 +44,12 @@ interface UsePreviewAssetsReturn {
|
||||
ready: boolean
|
||||
/** 手动触发重新加载 */
|
||||
reload: () => void
|
||||
/**
|
||||
* 差集补拉(#1750):后端变体计划 clips 可能引用不在用户已选列表中的素材
|
||||
* (跨素材库选片/素材池扩展),发现 assets 中缺失的 asset_id 时补拉详情并合并,
|
||||
* 保证预览播放器拿得到素材文件 URL,而不是静默丢片段。
|
||||
*/
|
||||
ensureAssets: (ids: string[]) => Promise<void>
|
||||
}
|
||||
|
||||
/**
|
||||
@@ -91,11 +97,41 @@ export function usePreviewAssets(assetIds: string[], enabled: boolean): UsePrevi
|
||||
}
|
||||
}, [stableAssetIds, enabled])
|
||||
|
||||
// 补拉用独立序号:不干扰主 load 的竞态守卫
|
||||
const ensureSeqRef = useRef(0)
|
||||
const assetsRef = useRef<AssetItem[]>([])
|
||||
useEffect(() => {
|
||||
assetsRef.current = assets
|
||||
}, [assets])
|
||||
|
||||
/**
|
||||
* 差集补拉(#1750):变体计划 clips 引用的 asset_id 不在当前素材列表时,
|
||||
* 补拉素材详情并去重合并(不静默丢片段、不用假数据冒充)。
|
||||
*/
|
||||
const ensureAssets = useCallback(async (ids: string[]) => {
|
||||
const validIds = ids.filter((id): id is string => typeof id === "string" && id.length > 0)
|
||||
if (!validIds.length) return
|
||||
const seq = ++ensureSeqRef.current
|
||||
const missing = Array.from(new Set(validIds)).filter(
|
||||
(id) => !assetsRef.current.some((a) => a.id === id),
|
||||
)
|
||||
if (!missing.length) return
|
||||
const fetched = await fetchAssetsByIds(missing)
|
||||
if (seq !== ensureSeqRef.current || !fetched.length) return
|
||||
const existing = new Set(assetsRef.current.map((a) => a.id))
|
||||
const additions = fetched.filter((a) => !existing.has(a.id))
|
||||
if (!additions.length) return
|
||||
const merged = [...assetsRef.current, ...additions]
|
||||
assetsRef.current = merged
|
||||
setAssets(merged)
|
||||
setReady(merged.length > 0)
|
||||
}, [])
|
||||
|
||||
useEffect(() => {
|
||||
load()
|
||||
}, [load])
|
||||
|
||||
return { assets, loading, ready, reload: load }
|
||||
return { assets, loading, ready, reload: load, ensureAssets }
|
||||
}
|
||||
|
||||
/**
|
||||
|
||||
@@ -1,297 +0,0 @@
|
||||
/**
|
||||
* 服务器渲染预览 Hook
|
||||
*
|
||||
* 核心职责:
|
||||
* 1. 调用 POST /generation/preview 创建服务器预览渲染任务
|
||||
* 2. 轮询 GET /generation/preview/{task_id} 直到完成
|
||||
* 3. 返回服务器渲染的真实视频 URL(供 <video> 标签播放)
|
||||
* 4. 检测配置变更,标记预览失效(stale)或自动重新渲染
|
||||
* 5. 网络错误自动重试 2 次
|
||||
*
|
||||
* 状态机:
|
||||
* idle → loading → ready → stale (config changed)
|
||||
* ↘ failed → idle (retry)
|
||||
*/
|
||||
import { useState, useCallback, useRef, useEffect } from "react"
|
||||
import { createPreview, getPreviewStatus } from "@/api/generation/preview"
|
||||
import type { CreatePreviewRequest } from "@/api/generation/types"
|
||||
|
||||
export type ServerPreviewStatus = "idle" | "loading" | "ready" | "stale" | "failed"
|
||||
|
||||
interface UseServerPreviewOptions {
|
||||
/** 是否启用预览(Step4+ 且有素材和模板时) */
|
||||
enabled: boolean
|
||||
/** 构建预览请求参数(每次 render 调用,获取最新配置) */
|
||||
buildRequest: () => CreatePreviewRequest
|
||||
/** 预览任务创建成功回调 */
|
||||
onPreviewTaskCreated?: (taskId: string, sourceEditPlanId?: string) => void
|
||||
}
|
||||
|
||||
interface UseServerPreviewReturn {
|
||||
status: ServerPreviewStatus
|
||||
videoUrl: string | null
|
||||
error: string | null
|
||||
/** 进度 0-100 */
|
||||
progress: number
|
||||
/** 手动触发预览创建("重新预览"按钮或标题变更后手动刷新) */
|
||||
triggerPreview: () => void
|
||||
/** 当前预览任务 ID */
|
||||
taskId: string | null
|
||||
}
|
||||
|
||||
const POLL_INTERVAL = 2000
|
||||
const POLL_TIMEOUT = 120_000
|
||||
const MAX_NETWORK_RETRIES = 2
|
||||
|
||||
/**
|
||||
* 对配置参数做指纹,用于检测配置是否变化
|
||||
*/
|
||||
function buildFingerprint(req: CreatePreviewRequest): string {
|
||||
return JSON.stringify({
|
||||
t: req.template_id,
|
||||
a: [...req.asset_ids].sort(),
|
||||
d: req.duration,
|
||||
r: req.video_ratio,
|
||||
v: req.voice_library_id,
|
||||
b: req.bgm_config,
|
||||
title: req.title_config,
|
||||
})
|
||||
}
|
||||
|
||||
export function useServerPreview({
|
||||
enabled,
|
||||
buildRequest,
|
||||
onPreviewTaskCreated,
|
||||
}: UseServerPreviewOptions): UseServerPreviewReturn {
|
||||
const [status, setStatus] = useState<ServerPreviewStatus>("idle")
|
||||
const [videoUrl, setVideoUrl] = useState<string | null>(null)
|
||||
const [error, setError] = useState<string | null>(null)
|
||||
const [progress, setProgress] = useState(0)
|
||||
const [taskId, setTaskId] = useState<string | null>(null)
|
||||
|
||||
const pollTimerRef = useRef<ReturnType<typeof setTimeout> | null>(null)
|
||||
const timeoutTimerRef = useRef<ReturnType<typeof setTimeout> | null>(null)
|
||||
const requestSeqRef = useRef(0)
|
||||
const renderedFingerprintRef = useRef<string>("")
|
||||
const mountedRef = useRef(true)
|
||||
const networkRetriesRef = useRef(0)
|
||||
|
||||
// 始终持有最新的 buildRequest 和回调
|
||||
const buildRequestRef = useRef(buildRequest)
|
||||
buildRequestRef.current = buildRequest
|
||||
const onCreatedRef = useRef(onPreviewTaskCreated)
|
||||
onCreatedRef.current = onPreviewTaskCreated
|
||||
|
||||
/* ── 清理 ── */
|
||||
const clearTimers = useCallback(() => {
|
||||
if (pollTimerRef.current) {
|
||||
clearTimeout(pollTimerRef.current)
|
||||
pollTimerRef.current = null
|
||||
}
|
||||
if (timeoutTimerRef.current) {
|
||||
clearTimeout(timeoutTimerRef.current)
|
||||
timeoutTimerRef.current = null
|
||||
}
|
||||
}, [])
|
||||
|
||||
useEffect(() => {
|
||||
mountedRef.current = true
|
||||
return () => {
|
||||
mountedRef.current = false
|
||||
clearTimers()
|
||||
}
|
||||
}, [clearTimers])
|
||||
|
||||
/* ── 创建预览 + 轮询 ── */
|
||||
const createAndPoll = useCallback(
|
||||
async (request: CreatePreviewRequest, seq: number) => {
|
||||
setStatus("loading")
|
||||
setProgress(0)
|
||||
setError(null)
|
||||
networkRetriesRef.current = 0
|
||||
|
||||
try {
|
||||
const resp = await createPreview(request)
|
||||
if (seq !== requestSeqRef.current || !mountedRef.current) return
|
||||
|
||||
// 兼容批量响应 {items, total}:取第一个变体
|
||||
const firstTask = resp.items?.[0]
|
||||
const taskId = firstTask?.task_id || ""
|
||||
setTaskId(taskId)
|
||||
onCreatedRef.current?.(taskId, resp.source_edit_plan_id)
|
||||
|
||||
let completed = false
|
||||
|
||||
// 超时保护
|
||||
timeoutTimerRef.current = setTimeout(() => {
|
||||
if (completed || seq !== requestSeqRef.current || !mountedRef.current) return
|
||||
completed = true
|
||||
clearTimers()
|
||||
setStatus("failed")
|
||||
setError("预览渲染超时(120秒),请重试")
|
||||
}, POLL_TIMEOUT)
|
||||
|
||||
const poll = async () => {
|
||||
if (completed || seq !== requestSeqRef.current || !mountedRef.current) return
|
||||
|
||||
try {
|
||||
const st = await getPreviewStatus(taskId)
|
||||
if (completed || seq !== requestSeqRef.current || !mountedRef.current) return
|
||||
|
||||
if (st.status === "completed" && st.video_url) {
|
||||
completed = true
|
||||
clearTimers()
|
||||
renderedFingerprintRef.current = buildFingerprint(request)
|
||||
setVideoUrl(st.video_url)
|
||||
setProgress(100)
|
||||
setStatus("ready")
|
||||
setError(null)
|
||||
return
|
||||
}
|
||||
|
||||
if (st.status === "failed" || st.status === "cancelled") {
|
||||
completed = true
|
||||
clearTimers()
|
||||
setStatus("failed")
|
||||
setError(
|
||||
st.status === "cancelled"
|
||||
? "预览任务已取消"
|
||||
: st.error_message || "预览渲染失败,请重试",
|
||||
)
|
||||
return
|
||||
}
|
||||
|
||||
// pending / generating
|
||||
if (typeof st.progress === "number") setProgress(st.progress)
|
||||
pollTimerRef.current = setTimeout(poll, POLL_INTERVAL)
|
||||
} catch (pollErr) {
|
||||
if (completed || seq !== requestSeqRef.current || !mountedRef.current) return
|
||||
if (networkRetriesRef.current < MAX_NETWORK_RETRIES) {
|
||||
networkRetriesRef.current += 1
|
||||
console.warn(
|
||||
`[ServerPreview] 轮询网络错误,第 ${networkRetriesRef.current} 次重试`,
|
||||
pollErr,
|
||||
)
|
||||
pollTimerRef.current = setTimeout(poll, POLL_INTERVAL * 2)
|
||||
} else {
|
||||
completed = true
|
||||
clearTimers()
|
||||
setStatus("failed")
|
||||
setError("网络错误,无法获取预览状态,请重试")
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
poll()
|
||||
} catch (createErr) {
|
||||
if (seq !== requestSeqRef.current || !mountedRef.current) return
|
||||
console.error("[ServerPreview] 创建预览任务失败:", createErr)
|
||||
|
||||
const isNetworkError =
|
||||
!!(createErr as { request?: unknown })?.request ||
|
||||
(createErr as { code?: string })?.code === "ERR_NETWORK"
|
||||
|
||||
if (isNetworkError && networkRetriesRef.current < MAX_NETWORK_RETRIES) {
|
||||
networkRetriesRef.current += 1
|
||||
console.warn(`[ServerPreview] 创建任务网络错误,第 ${networkRetriesRef.current} 次重试`)
|
||||
setTimeout(() => {
|
||||
if (seq === requestSeqRef.current && mountedRef.current) {
|
||||
createAndPoll(request, seq)
|
||||
}
|
||||
}, POLL_INTERVAL * 2)
|
||||
return
|
||||
}
|
||||
|
||||
const errData = (
|
||||
createErr as { response?: { data?: { detail?: string; message?: string } } }
|
||||
)?.response?.data
|
||||
setStatus("failed")
|
||||
setError(errData?.detail || errData?.message || "预览任务创建失败,请重试")
|
||||
}
|
||||
},
|
||||
[clearTimers],
|
||||
)
|
||||
|
||||
/* ── 手动触发预览 ── */
|
||||
const triggerPreview = useCallback(() => {
|
||||
if (!enabled) return
|
||||
const request = buildRequestRef.current()
|
||||
if (!request.template_id || request.asset_ids.length === 0) return
|
||||
|
||||
clearTimers()
|
||||
const seq = ++requestSeqRef.current
|
||||
setVideoUrl(null)
|
||||
setTaskId(null)
|
||||
createAndPoll(request, seq)
|
||||
}, [enabled, clearTimers, createAndPoll])
|
||||
|
||||
/* ── 自动触发 + 配置变更检测 ── */
|
||||
// 每次 render 都检查最新配置 fingerprint,与已渲染的 fingerprint 比较
|
||||
const request = enabled ? buildRequest() : null
|
||||
const currentFingerprint = request
|
||||
? request.template_id && request.asset_ids.length > 0
|
||||
? buildFingerprint(request)
|
||||
: ""
|
||||
: ""
|
||||
|
||||
// 首次进入自动触发
|
||||
const didInitRef = useRef(false)
|
||||
useEffect(() => {
|
||||
if (!enabled || !currentFingerprint) {
|
||||
didInitRef.current = false
|
||||
// 禁用时取消进行中的轮询,避免回到前序步骤后仍在后台轮询
|
||||
requestSeqRef.current += 1
|
||||
clearTimers()
|
||||
return
|
||||
}
|
||||
if (!didInitRef.current) {
|
||||
didInitRef.current = true
|
||||
renderedFingerprintRef.current = currentFingerprint
|
||||
triggerPreview()
|
||||
}
|
||||
}, [enabled, currentFingerprint, triggerPreview, clearTimers])
|
||||
|
||||
// 配置变更检测:素材/配音/BGM 等变化 → 自动重渲染;标题样式变化 → 标记 stale
|
||||
const prevFingerprintRef = useRef(currentFingerprint)
|
||||
useEffect(() => {
|
||||
if (!enabled || !currentFingerprint) return
|
||||
const prev = prevFingerprintRef.current
|
||||
prevFingerprintRef.current = currentFingerprint
|
||||
|
||||
if (!prev || prev === currentFingerprint) return
|
||||
if (currentFingerprint === renderedFingerprintRef.current) return
|
||||
|
||||
// 配置已变更
|
||||
// 判断是标题样式变更还是素材/配音/BGM 变更
|
||||
const prevParsed = JSON.parse(prev) as Record<string, unknown>
|
||||
const currParsed = JSON.parse(currentFingerprint) as Record<string, unknown>
|
||||
const nonTitleChanged =
|
||||
prevParsed.t !== currParsed.t ||
|
||||
prevParsed.a !== currParsed.a ||
|
||||
prevParsed.d !== currParsed.d ||
|
||||
prevParsed.r !== currParsed.r ||
|
||||
prevParsed.v !== currParsed.v ||
|
||||
JSON.stringify(prevParsed.b) !== JSON.stringify(currParsed.b)
|
||||
|
||||
if (nonTitleChanged) {
|
||||
// 素材/配音/BGM/模板等变化 → 自动重新渲染
|
||||
renderedFingerprintRef.current = currentFingerprint
|
||||
triggerPreview()
|
||||
} else {
|
||||
// 仅标题文字/样式变化 → 标记 stale,不自动重渲染(避免频繁请求)
|
||||
// 实时预览由 CSS TitleOverlay 提供
|
||||
setStatus((s) => (s === "ready" ? "stale" : s))
|
||||
}
|
||||
}, [enabled, currentFingerprint, triggerPreview])
|
||||
|
||||
return {
|
||||
status,
|
||||
videoUrl,
|
||||
error,
|
||||
progress,
|
||||
triggerPreview,
|
||||
taskId,
|
||||
}
|
||||
}
|
||||
|
||||
export default useServerPreview
|
||||
@@ -0,0 +1,166 @@
|
||||
/**
|
||||
* 批量变体配音预览音频解析(#1750)
|
||||
*
|
||||
* 独立配音模式下每个变体挂载各自的配音 URL:
|
||||
* - 配音素材(voice 资产,有 file_url)→ 直接用素材文件 URL;
|
||||
* - AI 音色(预置/克隆,无实体文件)→ 按该变体自己的标题调 /tts/preview 合成;
|
||||
* - 共用模式下所有变体解析为同一条(等价于旧 previewVoiceAudioUrl)。
|
||||
*
|
||||
* N=1 不使用本 hook(单视频配音预览逻辑在 GeneratePage 内保持不变,零回归)。
|
||||
*/
|
||||
import { useEffect, useRef, useState } from "react"
|
||||
import { useQuery } from "@tanstack/react-query"
|
||||
import { getAssetsByKind } from "@/api/assets"
|
||||
import type { AssetItem } from "@/api/assets"
|
||||
import { previewTts } from "@/api/tts"
|
||||
|
||||
interface UseVariantVoicePreviewOptions {
|
||||
/** 是否批量模式(count>1) */
|
||||
enabled: boolean
|
||||
/** 变体数量 */
|
||||
count: number
|
||||
/** 是否每个视频独立配音 */
|
||||
perVideo: boolean
|
||||
/** 共用配音 ID(独立模式下为变体 0 的配音) */
|
||||
sharedVoiceId: string
|
||||
/** 克隆音色 ID 覆盖(共用模式,与旧逻辑一致:selectedClonedVoice || selectedVoice) */
|
||||
clonedVoiceId?: string
|
||||
/** 各变体独立配音 ID(独立模式);长度不足时回退共用 */
|
||||
variantVoiceIds: string[]
|
||||
/** 各变体标题(TTS 合成文案源) */
|
||||
titles: string[]
|
||||
}
|
||||
|
||||
/** 稳定的空数组常量:避免 useQuery 数据未就绪时每次渲染产生新引用导致 effect 无限触发 */
|
||||
const EMPTY_VOICE_MATERIALS: AssetItem[] = []
|
||||
|
||||
/** 判断配音 ID 是否对应实体素材(有 file_url);否则视为 AI 音色需 TTS */
|
||||
function findMaterialUrl(id: string, materials: AssetItem[]): string | null {
|
||||
if (!id) return null
|
||||
const m = materials.find((x) => x.id === id)
|
||||
return m?.file_url || null
|
||||
}
|
||||
|
||||
export function useVariantVoicePreview({
|
||||
enabled,
|
||||
count,
|
||||
perVideo,
|
||||
sharedVoiceId,
|
||||
clonedVoiceId = "",
|
||||
variantVoiceIds,
|
||||
titles,
|
||||
}: UseVariantVoicePreviewOptions): (string | null)[] {
|
||||
const [urls, setUrls] = useState<(string | null)[]>([])
|
||||
// 配音素材库:组件内部自取,避免调用方传入不稳定数组引用导致 effect 反复触发
|
||||
const { data: voiceMaterialsData } = useQuery({
|
||||
queryKey: ["assets", "voice"],
|
||||
queryFn: () => getAssetsByKind("voice", { limit: 50 }),
|
||||
})
|
||||
const voiceMaterials: AssetItem[] = voiceMaterialsData ?? EMPTY_VOICE_MATERIALS
|
||||
// 已缓存的 TTS 结果:key = `${voiceId}|${title}`,避免重复合成
|
||||
const ttsCacheRef = useRef<Map<string, string>>(new Map())
|
||||
// 在途请求 AbortController
|
||||
const abortRef = useRef<AbortController | null>(null)
|
||||
const seqRef = useRef(0)
|
||||
|
||||
useEffect(() => {
|
||||
if (!enabled || count <= 1) {
|
||||
setUrls((prev) => (prev.length === 0 ? prev : []))
|
||||
return
|
||||
}
|
||||
|
||||
const seq = ++seqRef.current
|
||||
abortRef.current?.abort()
|
||||
const controller = new AbortController()
|
||||
abortRef.current = controller
|
||||
|
||||
// 每个变体实际使用的配音 ID
|
||||
const voiceIds = Array.from({ length: count }, (_, i) =>
|
||||
perVideo ? variantVoiceIds[i] || sharedVoiceId : sharedVoiceId,
|
||||
)
|
||||
|
||||
// 先用素材 URL 同步填充;AI 音色位置先置 null,待 TTS 完成
|
||||
const result: (string | null)[] = voiceIds.map((id, i) => {
|
||||
const materialUrl = findMaterialUrl(id, voiceMaterials)
|
||||
if (materialUrl) return materialUrl
|
||||
// 共用模式下克隆音色 ID 可能与 selectedVoice 不同(与旧 useEffect 逻辑一致)
|
||||
if (!perVideo && i === 0 && clonedVoiceId) {
|
||||
return findMaterialUrl(clonedVoiceId, voiceMaterials)
|
||||
}
|
||||
return null
|
||||
})
|
||||
|
||||
// 收集需要 TTS 的变体:无素材 URL 且有标题且有音色 ID
|
||||
const ttsJobs: { index: number; voiceId: string; title: string }[] = []
|
||||
voiceIds.forEach((id, i) => {
|
||||
if (result[i]) return
|
||||
// 共用模式沿用旧逻辑:voice_id = selectedClonedVoice || selectedVoice
|
||||
const ttsVoiceId = !perVideo && i === 0 ? clonedVoiceId || id : id
|
||||
const title = titles[i] || ""
|
||||
if (!ttsVoiceId || !title) return
|
||||
ttsJobs.push({ index: i, voiceId: ttsVoiceId, title })
|
||||
})
|
||||
|
||||
setUrls((prev) =>
|
||||
prev.length === result.length && prev.every((v, i) => v === result[i]) ? prev : result,
|
||||
)
|
||||
|
||||
if (ttsJobs.length === 0) return
|
||||
|
||||
let cancelled = false
|
||||
void (async () => {
|
||||
// 串行 TTS,避免瞬间 N 个合成请求打爆后端
|
||||
for (const job of ttsJobs) {
|
||||
const cacheKey = `${job.voiceId}|${job.title}`
|
||||
const cached = ttsCacheRef.current.get(cacheKey)
|
||||
if (cached) {
|
||||
if (seq === seqRef.current) {
|
||||
setUrls((prev) => {
|
||||
if (prev[job.index] === cached) return prev
|
||||
const next = [...prev]
|
||||
next[job.index] = cached
|
||||
return next
|
||||
})
|
||||
}
|
||||
continue
|
||||
}
|
||||
try {
|
||||
// eslint-disable-next-line no-await-in-loop
|
||||
const res = await previewTts({ text: job.title, voice_id: job.voiceId })
|
||||
if (cancelled || controller.signal.aborted || seq !== seqRef.current) return
|
||||
const audioUrl = res.audio_url || ""
|
||||
if (audioUrl) {
|
||||
ttsCacheRef.current.set(cacheKey, audioUrl)
|
||||
setUrls((prev) => {
|
||||
if (prev[job.index] === audioUrl) return prev
|
||||
const next = [...prev]
|
||||
next[job.index] = audioUrl
|
||||
return next
|
||||
})
|
||||
}
|
||||
} catch (err) {
|
||||
if (cancelled || controller.signal.aborted || seq !== seqRef.current) return
|
||||
console.warn(`[变体${job.index + 1}预览配音生成失败]`, err)
|
||||
}
|
||||
}
|
||||
})()
|
||||
|
||||
return () => {
|
||||
cancelled = true
|
||||
controller.abort()
|
||||
}
|
||||
}, [
|
||||
enabled,
|
||||
count,
|
||||
perVideo,
|
||||
sharedVoiceId,
|
||||
clonedVoiceId,
|
||||
variantVoiceIds,
|
||||
titles,
|
||||
voiceMaterials,
|
||||
])
|
||||
|
||||
return urls
|
||||
}
|
||||
|
||||
export default useVariantVoicePreview
|
||||
@@ -1,54 +0,0 @@
|
||||
/**
|
||||
* 共享:根据素材列表和模板片段计算总视频时长
|
||||
* GeneratePage(配音校验)和 FrontendPreviewPlayer(播放控制)共用
|
||||
*/
|
||||
|
||||
export interface DurationAsset {
|
||||
id?: string
|
||||
duration?: number
|
||||
metadata?: { duration?: number }
|
||||
}
|
||||
|
||||
export interface DurationTemplateSegment {
|
||||
duration_min?: number
|
||||
duration_max?: number
|
||||
}
|
||||
|
||||
/**
|
||||
* 计算总视频时长
|
||||
* @param assets 素材列表
|
||||
* @param template 模板(含 segments)
|
||||
* @returns 总时长(秒),无有效数据时返回 0
|
||||
*/
|
||||
export function calculateTotalVideoDuration(
|
||||
assets: DurationAsset[] | undefined,
|
||||
template: { segments?: DurationTemplateSegment[] } | undefined,
|
||||
): number {
|
||||
if (!assets || assets.length === 0 || !template) return 0
|
||||
|
||||
const templateSegments = template.segments || []
|
||||
|
||||
return assets.reduce((sum, asset, i) => {
|
||||
const assetDuration = asset.duration || asset.metadata?.duration || 30
|
||||
const tplSeg = templateSegments[i] || templateSegments[templateSegments.length - 1]
|
||||
const segDuration = tplSeg
|
||||
? Math.min(
|
||||
tplSeg.duration_max ?? assetDuration,
|
||||
Math.max(tplSeg.duration_min ?? 0, assetDuration),
|
||||
)
|
||||
: Math.min(assetDuration, 10)
|
||||
return sum + segDuration
|
||||
}, 0)
|
||||
}
|
||||
|
||||
/**
|
||||
* 估算总视频时长(仅依赖模板 segments)
|
||||
* 当素材未加载或加载失败时,用各片段 duration_max 之和作为估算值
|
||||
* 确保配音时长校验不会因素材未就绪而跳过
|
||||
*/
|
||||
export function estimateTotalVideoDuration(
|
||||
template: { segments?: DurationTemplateSegment[] } | undefined,
|
||||
): number {
|
||||
if (!template?.segments || template.segments.length === 0) return 0
|
||||
return template.segments.reduce((sum, seg) => sum + (seg.duration_max || 0), 0)
|
||||
}
|
||||
@@ -66,7 +66,7 @@ export const TemplateCard: React.FC<TemplateCardProps> = ({
|
||||
|
||||
<div className="mt-card-meta">
|
||||
<Text type="secondary" style={{ fontSize: 12 }}>
|
||||
{tpl.segments.length} 片段 · 预估 ~{tpl.estimated_duration}s
|
||||
{tpl.segments.length} 个片段
|
||||
</Text>
|
||||
{tpl.category && <Tag style={{ fontSize: 11, marginTop: 4 }}>{tpl.category}</Tag>}
|
||||
</div>
|
||||
|
||||
@@ -57,11 +57,6 @@ export function useMyTemplates() {
|
||||
title_config: tpl.title_config,
|
||||
subtitle_config: tpl.subtitle_config,
|
||||
bgm_config: tpl.bgm_config,
|
||||
estimated_duration:
|
||||
tpl.estimated_duration ??
|
||||
Math.round(
|
||||
tpl.segments.reduce((s, seg) => s + (seg.duration_min + seg.duration_max) / 2, 0),
|
||||
),
|
||||
segments: tpl.segments.map(({ id: _id, ...rest }) => rest),
|
||||
}),
|
||||
onSuccess: () => {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
/**
|
||||
* 模板库页面(升级版)— V21 设计系统
|
||||
* 对接后端模板管理 API:
|
||||
* - 分页查询(page/page_size/category/keyword/duration_range)
|
||||
* - 分页查询(page/page_size/category/keyword)
|
||||
* - 模板详情(素材规则、字幕样式、BGM、比例等参数配置)
|
||||
* - 复制模板 / 从模板生成
|
||||
* - 卡片网格布局 + 类型筛选 + 搜索 + 收藏
|
||||
@@ -24,7 +24,6 @@ const TemplateLibrary: React.FC = () => {
|
||||
error,
|
||||
searchText,
|
||||
activeType,
|
||||
durationRange,
|
||||
page,
|
||||
pageSize,
|
||||
setPage,
|
||||
@@ -34,7 +33,6 @@ const TemplateLibrary: React.FC = () => {
|
||||
handleCreate,
|
||||
handleSearchChange,
|
||||
handleCategoryChange,
|
||||
handleDurationChange,
|
||||
} = useTemplateLibrary()
|
||||
|
||||
const {
|
||||
@@ -62,8 +60,6 @@ const TemplateLibrary: React.FC = () => {
|
||||
onSearchChange={handleSearchChange}
|
||||
activeType={activeType}
|
||||
onTypeChange={handleCategoryChange}
|
||||
durationRange={durationRange}
|
||||
onDurationChange={handleDurationChange}
|
||||
/>
|
||||
|
||||
{/* 模板展示区 */}
|
||||
@@ -77,7 +73,6 @@ const TemplateLibrary: React.FC = () => {
|
||||
errorMessage={error?.message}
|
||||
searchText={searchText}
|
||||
activeType={activeType}
|
||||
durationRange={durationRange}
|
||||
onPageChange={setPage}
|
||||
onPreview={handlePreview}
|
||||
onToggleFavorite={toggleFavorite}
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
import React from "react"
|
||||
import { Tag } from "antd"
|
||||
import type { TemplateItem } from "@/api/templates"
|
||||
import { gradientForCategory, getTypeColor, formatDuration } from "../../utils/templateLibrary"
|
||||
import { gradientForCategory, getTypeColor } from "../../utils/templateLibrary"
|
||||
|
||||
interface TemplateCardProps {
|
||||
template: TemplateItem
|
||||
@@ -37,7 +37,7 @@ export const TemplateCard: React.FC<TemplateCardProps> = ({
|
||||
<div className="xx-template-thumb-name">{template.name}</div>
|
||||
<div className="xx-template-thumb-meta">
|
||||
<span className="xx-template-thumb-duration">
|
||||
{formatDuration(template.estimated_duration ?? template.target_duration)}
|
||||
{template.clip_count || template.segments?.length || 0} 个片段
|
||||
</span>
|
||||
</div>
|
||||
<div className="xx-template-preview-hint">点击查看详情</div>
|
||||
|
||||
@@ -5,9 +5,8 @@ import PreviewArea from "./template-detail-modal/PreviewArea"
|
||||
import SegmentList from "./template-detail-modal/SegmentList"
|
||||
import StyleConfig from "./template-detail-modal/StyleConfig"
|
||||
import DetailFooter from "./template-detail-modal/DetailFooter"
|
||||
import { getTypeColor, formatDuration } from "../../utils/templateLibrary"
|
||||
import { getTypeColor } from "../../utils/templateLibrary"
|
||||
import { TEMPLATE_TYPES } from "../../constants/templateLibrary"
|
||||
import { calcTotalSegmentDuration } from "../../utils/templateLibrary"
|
||||
|
||||
export const TemplateDetailModal: React.FC<TemplateDetailModalProps> = ({
|
||||
template,
|
||||
@@ -18,7 +17,6 @@ export const TemplateDetailModal: React.FC<TemplateDetailModalProps> = ({
|
||||
onCopy,
|
||||
}) => {
|
||||
const segments = template.segments ?? []
|
||||
const totalSegmentDuration = calcTotalSegmentDuration(segments)
|
||||
const typeInfo = TEMPLATE_TYPES.find((t) => t.type === template.category)
|
||||
|
||||
return (
|
||||
@@ -64,11 +62,6 @@ export const TemplateDetailModal: React.FC<TemplateDetailModalProps> = ({
|
||||
size="small"
|
||||
className="xx-template-modal-desc-table"
|
||||
items={[
|
||||
{
|
||||
key: "duration",
|
||||
label: "目标时长",
|
||||
children: formatDuration(template.estimated_duration ?? template.target_duration),
|
||||
},
|
||||
{
|
||||
key: "clips",
|
||||
label: "片段数量",
|
||||
@@ -87,7 +80,7 @@ export const TemplateDetailModal: React.FC<TemplateDetailModalProps> = ({
|
||||
]}
|
||||
/>
|
||||
|
||||
<SegmentList segments={segments} totalDuration={totalSegmentDuration} />
|
||||
<SegmentList segments={segments} />
|
||||
<StyleConfig template={template} />
|
||||
<DetailFooter
|
||||
template={template}
|
||||
|
||||
@@ -14,7 +14,6 @@ interface TemplateGridProps {
|
||||
errorMessage?: string
|
||||
searchText: string
|
||||
activeType: string
|
||||
durationRange: string
|
||||
onPageChange: (page: number) => void
|
||||
onPreview: (template: TemplateItem) => void
|
||||
onToggleFavorite: (id: string, e: React.MouseEvent) => void
|
||||
@@ -31,7 +30,6 @@ export const TemplateGrid: React.FC<TemplateGridProps> = ({
|
||||
errorMessage,
|
||||
searchText,
|
||||
activeType,
|
||||
durationRange,
|
||||
onPageChange,
|
||||
onPreview,
|
||||
onToggleFavorite,
|
||||
@@ -64,7 +62,7 @@ export const TemplateGrid: React.FC<TemplateGridProps> = ({
|
||||
|
||||
// 空状态
|
||||
if (templates.length === 0) {
|
||||
const hasFilter = !!searchText || activeType !== "全部" || !!durationRange
|
||||
const hasFilter = !!searchText || activeType !== "全部"
|
||||
return (
|
||||
<div className="xx-templates-empty">
|
||||
<div className="xx-templates-empty-icon">
|
||||
|
||||
@@ -1,15 +1,13 @@
|
||||
import React from "react"
|
||||
import { SearchOutlined } from "@ant-design/icons"
|
||||
import type { EditTemplateType, DurationRange } from "../../types/templateLibrary"
|
||||
import { TEMPLATE_TYPES, DURATION_OPTIONS } from "../../constants/templateLibrary"
|
||||
import type { EditTemplateType } from "../../types/templateLibrary"
|
||||
import { TEMPLATE_TYPES } from "../../constants/templateLibrary"
|
||||
|
||||
interface TemplateToolbarProps {
|
||||
searchText: string
|
||||
onSearchChange: (e: React.ChangeEvent<HTMLInputElement>) => void
|
||||
activeType: EditTemplateType | "全部"
|
||||
onTypeChange: (type: EditTemplateType | "全部") => void
|
||||
durationRange: DurationRange
|
||||
onDurationChange: (value: DurationRange) => void
|
||||
}
|
||||
|
||||
export const TemplateToolbar: React.FC<TemplateToolbarProps> = ({
|
||||
@@ -17,8 +15,6 @@ export const TemplateToolbar: React.FC<TemplateToolbarProps> = ({
|
||||
onSearchChange,
|
||||
activeType,
|
||||
onTypeChange,
|
||||
durationRange,
|
||||
onDurationChange,
|
||||
}) => {
|
||||
return (
|
||||
<div className="xx-templates-toolbar">
|
||||
@@ -46,18 +42,8 @@ export const TemplateToolbar: React.FC<TemplateToolbarProps> = ({
|
||||
</button>
|
||||
))}
|
||||
</div>
|
||||
{/* 时长筛选 */}
|
||||
<div className="xx-templates-duration-filter">
|
||||
{DURATION_OPTIONS.map((opt) => (
|
||||
<button
|
||||
key={opt.value}
|
||||
className={`xx-templates-duration-btn${durationRange === opt.value ? " active" : ""}`}
|
||||
onClick={() => onDurationChange(opt.value)}
|
||||
>
|
||||
{opt.label}
|
||||
</button>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
)
|
||||
}
|
||||
|
||||
export default TemplateToolbar
|
||||
|
||||
+3
-13
@@ -1,15 +1,13 @@
|
||||
import React from "react"
|
||||
import { Tooltip } from "antd"
|
||||
import type { TemplateSegment } from "@/api/templates"
|
||||
import { getMaterialTypeLabel, getTypeColor, formatDuration } from "../../../utils/templateLibrary"
|
||||
import { getMaterialTypeLabel, getTypeColor } from "../../../utils/templateLibrary"
|
||||
|
||||
interface SegmentListProps {
|
||||
segments: TemplateSegment[]
|
||||
totalDuration: number
|
||||
}
|
||||
|
||||
/** 素材规则 / 片段列表 */
|
||||
const SegmentList: React.FC<SegmentListProps> = ({ segments, totalDuration }) => {
|
||||
/** 素材规则 / 片段列表(#1750:模板只定片段数/结构,无时长概念) */
|
||||
const SegmentList: React.FC<SegmentListProps> = ({ segments }) => {
|
||||
if (segments.length === 0) return null
|
||||
|
||||
return (
|
||||
@@ -35,17 +33,9 @@ const SegmentList: React.FC<SegmentListProps> = ({ segments, totalDuration }) =>
|
||||
<span className="xx-template-modal-clip-desc">
|
||||
{seg.description || `片段 ${seg.segment_order}`}
|
||||
</span>
|
||||
<Tooltip title={`时长范围: ${seg.duration_min}秒 - ${seg.duration_max}秒`}>
|
||||
<span className="xx-template-modal-clip-duration">
|
||||
{seg.duration_min}-{seg.duration_max}秒
|
||||
</span>
|
||||
</Tooltip>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
<div className="xx-template-modal-total-duration">
|
||||
预估总时长:{formatDuration(Math.round(totalDuration))}
|
||||
</div>
|
||||
</div>
|
||||
)
|
||||
}
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
import type { EditTemplateType, DurationRange } from "../types/templateLibrary"
|
||||
import type { EditTemplateType } from "../types/templateLibrary"
|
||||
|
||||
export const TEMPLATE_TYPES: Array<{
|
||||
type: EditTemplateType | "全部"
|
||||
@@ -15,16 +15,6 @@ export const TEMPLATE_TYPES: Array<{
|
||||
{ type: "Vlog", label: "Vlog", icon: "📹", color: "#ec4899" },
|
||||
]
|
||||
|
||||
export const DURATION_OPTIONS: Array<{
|
||||
value: DurationRange
|
||||
label: string
|
||||
}> = [
|
||||
{ value: "", label: "全部时长" },
|
||||
{ value: "short", label: "30秒以内" },
|
||||
{ value: "medium", label: "30秒-2分钟" },
|
||||
{ value: "long", label: "2分钟以上" },
|
||||
]
|
||||
|
||||
export const MATERIAL_TYPE_LABELS: Record<string, string> = {
|
||||
video: "视频",
|
||||
image: "图片",
|
||||
|
||||
@@ -9,7 +9,7 @@ import {
|
||||
type TemplateItem,
|
||||
type TemplateListParams,
|
||||
} from "@/api/templates"
|
||||
import type { EditTemplateType, DurationRange } from "../types/templateLibrary"
|
||||
import type { EditTemplateType } from "../types/templateLibrary"
|
||||
import { DEFAULT_PAGE_SIZE } from "../constants/templateLibrary"
|
||||
|
||||
export const useTemplateLibrary = () => {
|
||||
@@ -19,7 +19,6 @@ export const useTemplateLibrary = () => {
|
||||
/* 筛选状态 */
|
||||
const [searchText, setSearchText] = useState("")
|
||||
const [activeType, setActiveType] = useState<EditTemplateType | "全部">("全部")
|
||||
const [durationRange, setDurationRange] = useState<DurationRange>("")
|
||||
const [page, setPage] = useState(1)
|
||||
const [pageSize] = useState(DEFAULT_PAGE_SIZE)
|
||||
|
||||
@@ -31,9 +30,8 @@ export const useTemplateLibrary = () => {
|
||||
}
|
||||
if (activeType !== "全部") params.category = activeType
|
||||
if (searchText.trim()) params.keyword = searchText.trim()
|
||||
if (durationRange) params.duration_range = durationRange
|
||||
return params
|
||||
}, [page, pageSize, activeType, searchText, durationRange])
|
||||
}, [page, pageSize, activeType, searchText])
|
||||
|
||||
/* 获取模板列表 */
|
||||
const {
|
||||
@@ -112,12 +110,6 @@ export const useTemplateLibrary = () => {
|
||||
setPage(1)
|
||||
}, [])
|
||||
|
||||
/* 切换时长筛选 */
|
||||
const handleDurationChange = useCallback((value: DurationRange) => {
|
||||
setDurationRange(value)
|
||||
setPage(1)
|
||||
}, [])
|
||||
|
||||
return {
|
||||
/* 状态 */
|
||||
templates,
|
||||
@@ -127,7 +119,6 @@ export const useTemplateLibrary = () => {
|
||||
error,
|
||||
searchText,
|
||||
activeType,
|
||||
durationRange,
|
||||
page,
|
||||
pageSize,
|
||||
/* mutations */
|
||||
@@ -142,6 +133,5 @@ export const useTemplateLibrary = () => {
|
||||
handleCreate,
|
||||
handleSearchChange,
|
||||
handleCategoryChange,
|
||||
handleDurationChange,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -2,7 +2,6 @@
|
||||
export type EditTemplateType = "口播" | "种草" | "产品" | "品牌" | "混剪" | "Vlog"
|
||||
|
||||
/** 时长筛选值 */
|
||||
export type DurationRange = "" | "short" | "medium" | "long"
|
||||
|
||||
/** 配置展示字段 */
|
||||
export interface ConfigDisplayFields {
|
||||
|
||||
@@ -5,7 +5,6 @@ import {
|
||||
DEFAULT_GRADIENT,
|
||||
MATERIAL_TYPE_LABELS,
|
||||
} from "../constants/templateLibrary"
|
||||
import type { TemplateSegment } from "@/api/templates"
|
||||
|
||||
/** 获取类型对应颜色 */
|
||||
export const getTypeColor = (type: string): string => {
|
||||
@@ -18,16 +17,6 @@ export const gradientForCategory = (category: string): string => {
|
||||
return CATEGORY_GRADIENT_MAP[category] ?? DEFAULT_GRADIENT
|
||||
}
|
||||
|
||||
/** 格式化时长 */
|
||||
export const formatDuration = (seconds: number | undefined | null): string => {
|
||||
if (!seconds || seconds <= 0) return "0秒"
|
||||
const totalSec = Math.round(seconds)
|
||||
const m = Math.floor(totalSec / 60)
|
||||
const s = totalSec % 60
|
||||
if (m === 0) return `${s}秒`
|
||||
return `${m}分${s > 0 ? `${s}秒` : ""}`
|
||||
}
|
||||
|
||||
/** 格式化配置对象为可读文本 */
|
||||
export const formatConfig = (config?: object): string => {
|
||||
if (!config || Object.keys(config).length === 0) return "默认"
|
||||
@@ -47,8 +36,3 @@ export const getMaterialTypeLabel = (materialType: string | null | undefined): s
|
||||
if (!materialType) return "不限"
|
||||
return MATERIAL_TYPE_LABELS[materialType] ?? materialType
|
||||
}
|
||||
|
||||
/** 计算片段总时长(取每个片段 min/max 的平均值) */
|
||||
export const calcTotalSegmentDuration = (segments: TemplateSegment[]): number => {
|
||||
return segments.reduce((sum, s) => sum + (s.duration_min + s.duration_max) / 2, 0)
|
||||
}
|
||||
|
||||
@@ -0,0 +1,176 @@
|
||||
/**
|
||||
* CanvasPreviewGrid 单测(Issue #1741 / #1750)
|
||||
*
|
||||
* 验证:
|
||||
* - N=3 时每个变体都拿到各自的 voiceAudioUrls[i](独立配音模式,null=TTS 合成中)
|
||||
* - 每个变体都拿到各自的后端真实片段 variantClips[i](serverClips),playToken 为 0 基变体序号
|
||||
* - 每个变体都收到 activePlayToken / onPlayTokenChange(播放互斥接线)
|
||||
* - 某个实例上报播放 → 所有实例的 activePlayToken 变为该实例(其他实例收到 token≠自身,自动暂停)
|
||||
* - 实例上报暂停(null)→ 播放权释放
|
||||
* - #1750 变体计划申请失败:渲染 role=alert 错误占位 ×N(严禁假数据/不渲染播放器),
|
||||
* 「重试」按钮仅变体 0 卡片出现且点击触发 onRetryClips
|
||||
* - #1750 加载态:渲染加载占位,不渲染播放器
|
||||
*/
|
||||
import { describe, it, expect, beforeEach, vi } from "vitest"
|
||||
import { render, fireEvent, screen } from "@testing-library/react"
|
||||
import type { AssetItem } from "@/api/assets"
|
||||
import type { EditPlanClip } from "@/api/template-editor"
|
||||
|
||||
const playerCalls = vi.hoisted(() => [] as Array<Record<string, unknown>>)
|
||||
|
||||
vi.mock("@/pages/generate/components/FrontendPreviewPlayer", () => ({
|
||||
default: (props: Record<string, unknown>) => {
|
||||
playerCalls.push(props)
|
||||
const token = props.playToken as number
|
||||
const active = props.activePlayToken as number | null
|
||||
const change = props.onPlayTokenChange as (t: number | null) => void
|
||||
return (
|
||||
<div data-testid={`player-${token}`}>
|
||||
<span data-testid={`voice-${token}`}>{props.voiceAudioUrl ? "has-voice" : "no-voice"}</span>
|
||||
<span data-testid={`token-${token}`}>{active == null ? "none" : String(active)}</span>
|
||||
<button type="button" onClick={() => change(token)}>
|
||||
play-{token}
|
||||
</button>
|
||||
<button type="button" onClick={() => change(null)}>
|
||||
pause-{token}
|
||||
</button>
|
||||
</div>
|
||||
)
|
||||
},
|
||||
}))
|
||||
|
||||
import CanvasPreviewGrid from "@/pages/generate/components/CanvasPreviewGrid"
|
||||
|
||||
function makeAsset(id: string): AssetItem {
|
||||
return {
|
||||
id,
|
||||
library_id: "lib-1",
|
||||
name: `${id}.mp4`,
|
||||
storage_key: `media/${id}.mp4`,
|
||||
file_url: `https://cdn.example.com/${id}.mp4`,
|
||||
mime_type: "video/mp4",
|
||||
metadata: { duration: 10 },
|
||||
duration: 10,
|
||||
}
|
||||
}
|
||||
|
||||
function makeClips(variant: number): EditPlanClip[] {
|
||||
return ["a1", "a2"].map((assetId, order) => ({
|
||||
id: `clip-v${variant}-${assetId}`,
|
||||
plan_id: `plan-${variant}`,
|
||||
clip_type: "main",
|
||||
order,
|
||||
asset_id: assetId,
|
||||
text_content: "",
|
||||
start_time: 0,
|
||||
duration: 5,
|
||||
transition_effect: "none",
|
||||
transition_duration: 0,
|
||||
playback_speed: 1,
|
||||
status: "ready",
|
||||
config: {},
|
||||
}))
|
||||
}
|
||||
|
||||
const titleSettings = {
|
||||
size: 36,
|
||||
font: "思源黑体",
|
||||
color: "#fff",
|
||||
position: "bottom" as const,
|
||||
bold: false,
|
||||
italic: false,
|
||||
stroke: true,
|
||||
shadow: false,
|
||||
posX: null,
|
||||
posY: null,
|
||||
}
|
||||
|
||||
const variantClips: EditPlanClip[][] = [makeClips(0), makeClips(1), makeClips(2)]
|
||||
|
||||
function renderGrid(overrides: Record<string, unknown> = {}) {
|
||||
playerCalls.length = 0
|
||||
return render(
|
||||
<CanvasPreviewGrid
|
||||
count={3}
|
||||
assets={[makeAsset("a1"), makeAsset("a2"), makeAsset("a3")]}
|
||||
videoRatio="9:16"
|
||||
titles={["标题1", "标题2", "标题3"]}
|
||||
titleSettings={titleSettings}
|
||||
variantClips={variantClips}
|
||||
voiceAudioUrls={["https://cdn.example.com/v0.mp3", null, "https://cdn.example.com/v2.mp3"]}
|
||||
selectedIds={[0, 1, 2]}
|
||||
onToggleSelect={() => {}}
|
||||
{...overrides}
|
||||
/>,
|
||||
)
|
||||
}
|
||||
|
||||
describe("CanvasPreviewGrid 配音、真实片段与播放互斥 (#1741/#1750)", () => {
|
||||
beforeEach(() => {
|
||||
playerCalls.length = 0
|
||||
})
|
||||
|
||||
it("N=3 时每个变体都拿到各自的配音 URL 与后端真实片段,playToken 为 0 基序号", () => {
|
||||
renderGrid()
|
||||
expect(playerCalls).toHaveLength(3)
|
||||
playerCalls.forEach((p, i) => {
|
||||
expect(p.playToken).toBe(i)
|
||||
expect(p.serverClips).toBe(variantClips[i])
|
||||
expect(p.variantTitle).toBe(`标题${i + 1}`)
|
||||
})
|
||||
// 独立配音:变体 0/2 有各自 URL;变体 1 为 null(TTS 合成中)→ 传 undefined
|
||||
expect(playerCalls[0].voiceAudioUrl).toBe("https://cdn.example.com/v0.mp3")
|
||||
expect(playerCalls[1].voiceAudioUrl).toBeUndefined()
|
||||
expect(playerCalls[2].voiceAudioUrl).toBe("https://cdn.example.com/v2.mp3")
|
||||
// 配音状态徽标
|
||||
expect(screen.getByTestId("voice-0").textContent).toBe("has-voice")
|
||||
expect(screen.getByTestId("voice-1").textContent).toBe("no-voice")
|
||||
expect(screen.getByTestId("voice-2").textContent).toBe("has-voice")
|
||||
})
|
||||
|
||||
it("每个变体都接线 activePlayToken / onPlayTokenChange", () => {
|
||||
renderGrid()
|
||||
playerCalls.forEach((p) => {
|
||||
expect(p.activePlayToken).toBeNull()
|
||||
expect(typeof p.onPlayTokenChange).toBe("function")
|
||||
})
|
||||
})
|
||||
|
||||
it("点击变体2播放:所有实例 activePlayToken 变为 1(0 基,其他实例自动暂停)", () => {
|
||||
renderGrid()
|
||||
fireEvent.click(screen.getByTestId("player-1").querySelector("button")!)
|
||||
expect(screen.getByTestId("token-0").textContent).toBe("1")
|
||||
expect(screen.getByTestId("token-1").textContent).toBe("1")
|
||||
expect(screen.getByTestId("token-2").textContent).toBe("1")
|
||||
})
|
||||
|
||||
it("正在播放实例上报暂停后,播放权释放(token 回 null)", () => {
|
||||
renderGrid()
|
||||
fireEvent.click(screen.getByTestId("player-2").querySelector("button")!)
|
||||
expect(screen.getByTestId("token-0").textContent).toBe("2")
|
||||
|
||||
fireEvent.click(screen.getByTestId("player-2").querySelectorAll("button")[1])
|
||||
expect(screen.getByTestId("token-2").textContent).toBe("none")
|
||||
})
|
||||
|
||||
it("clipsError:每张卡片显示错误占位(role=alert)且不渲染任何播放器,重试按钮仅一个并触发回调", () => {
|
||||
const onRetry = vi.fn()
|
||||
renderGrid({ clipsError: true, onRetryClips: onRetry })
|
||||
expect(screen.getAllByRole("alert")).toHaveLength(3)
|
||||
expect(screen.getAllByText("预览加载失败,请重试")).toHaveLength(3)
|
||||
// 严禁假数据:错误态不渲染播放器
|
||||
expect(playerCalls).toHaveLength(0)
|
||||
// 重试按钮仅变体 0 卡片出现
|
||||
const retryButtons = screen.getAllByText("重试")
|
||||
expect(retryButtons).toHaveLength(1)
|
||||
fireEvent.click(retryButtons[0])
|
||||
expect(onRetry).toHaveBeenCalledTimes(1)
|
||||
})
|
||||
|
||||
it("clipsLoading:渲染加载占位,不渲染播放器", () => {
|
||||
renderGrid({ clipsLoading: true })
|
||||
expect(screen.getAllByText("独立选片中…")).toHaveLength(3)
|
||||
expect(screen.queryAllByRole("alert")).toHaveLength(0)
|
||||
expect(playerCalls).toHaveLength(0)
|
||||
})
|
||||
})
|
||||
@@ -0,0 +1,213 @@
|
||||
/**
|
||||
* FrontendPreviewPlayer 音频行为单测(Issue #1741 / #1750)
|
||||
*
|
||||
* useSegmentScheduler/useCanvasPlayer 用 mock 控制播放态,专注验证本组件的音频逻辑:
|
||||
* - 有配音时 video 保持 muted(素材原声不与配音混音)
|
||||
* - 无配音时 video 不 muted(素材原声兜底,保证任何情况下播放有声)
|
||||
* - 静音按钮:默认有声;点击后切 muted,aria-label 与图标切换
|
||||
* - 批量播放互斥(#1750 playToken 为 0 基变体序号):activePlayToken 变为其他实例且本实例在播放时,调用 pause
|
||||
* - 点击播放/暂停时上报播放权(onPlayTokenChange)
|
||||
* - #1750:serverClips 是唯一片段来源,缺失时不渲染任何 video(无本地模拟 fallback)
|
||||
*/
|
||||
import { describe, it, expect, beforeEach, vi } from "vitest"
|
||||
import { render, screen, fireEvent } from "@testing-library/react"
|
||||
import FrontendPreviewPlayer from "@/pages/generate/components/FrontendPreviewPlayer"
|
||||
import type { AssetItem } from "@/api/assets"
|
||||
import type { EditPlanClip } from "@/api/template-editor"
|
||||
|
||||
const mocks = vi.hoisted(() => ({
|
||||
isPlaying: false,
|
||||
pause: vi.fn(),
|
||||
togglePlayPause: vi.fn(),
|
||||
}))
|
||||
|
||||
vi.mock("@/pages/generate/hooks/useSegmentScheduler", () => ({
|
||||
// segments 由组件 buildPlaybackSegments 产出(唯一来源 serverClips);
|
||||
// canPlay 与真实 hook 一致:无片段时不可播放
|
||||
useSegmentScheduler: vi.fn((segments: unknown[]) => ({
|
||||
isPlaying: mocks.isPlaying,
|
||||
currentTime: 0,
|
||||
totalDuration: 20,
|
||||
currentSegmentIndex: 0,
|
||||
canPlay: segments.length > 0,
|
||||
togglePlayPause: mocks.togglePlayPause,
|
||||
seekTo: vi.fn(),
|
||||
pause: mocks.pause,
|
||||
videoRefs: { current: [] as (HTMLVideoElement | null)[] },
|
||||
})),
|
||||
}))
|
||||
|
||||
vi.mock("@/pages/generate/hooks/useCanvasPlayer", () => ({
|
||||
useCanvasPlayer: () => ({
|
||||
state: {
|
||||
isPlaying: false,
|
||||
isReady: false,
|
||||
isBuffering: false,
|
||||
currentTime: 0,
|
||||
duration: 0,
|
||||
errorMessage: "",
|
||||
hasDecodeError: false,
|
||||
},
|
||||
controls: { play: vi.fn(), pause: vi.fn(), seek: vi.fn() },
|
||||
}),
|
||||
}))
|
||||
|
||||
beforeEach(() => {
|
||||
mocks.isPlaying = false
|
||||
mocks.pause.mockClear()
|
||||
mocks.togglePlayPause.mockClear()
|
||||
vi.stubGlobal(
|
||||
"ResizeObserver",
|
||||
class {
|
||||
observe() {}
|
||||
unobserve() {}
|
||||
disconnect() {}
|
||||
},
|
||||
)
|
||||
})
|
||||
|
||||
function makeAsset(id: string): AssetItem {
|
||||
return {
|
||||
id,
|
||||
library_id: "lib-1",
|
||||
name: `${id}.mp4`,
|
||||
storage_key: `media/${id}.mp4`,
|
||||
file_url: `https://cdn.example.com/${id}.mp4`,
|
||||
mime_type: "video/mp4",
|
||||
metadata: { duration: 10, width: 1080, height: 1920 },
|
||||
duration: 10,
|
||||
}
|
||||
}
|
||||
|
||||
function makeClip(assetId: string, order: number): EditPlanClip {
|
||||
return {
|
||||
id: `clip-${assetId}`,
|
||||
plan_id: "plan-1",
|
||||
clip_type: "main",
|
||||
order,
|
||||
asset_id: assetId,
|
||||
text_content: "",
|
||||
start_time: 0,
|
||||
duration: 5,
|
||||
transition_effect: "none",
|
||||
transition_duration: 0,
|
||||
playback_speed: 1,
|
||||
status: "ready",
|
||||
config: {},
|
||||
}
|
||||
}
|
||||
|
||||
const serverClips = [makeClip("a1", 0), makeClip("a2", 1)]
|
||||
|
||||
const baseProps = {
|
||||
assets: [makeAsset("a1"), makeAsset("a2")],
|
||||
videoRatio: "9:16",
|
||||
ready: true,
|
||||
serverClips,
|
||||
}
|
||||
|
||||
function videos(): HTMLVideoElement[] {
|
||||
return Array.from(document.querySelectorAll("video"))
|
||||
}
|
||||
|
||||
describe("FrontendPreviewPlayer 音频行为 (#1741/#1750)", () => {
|
||||
it("有配音时 video 保持 muted(素材原声不与配音混音)", () => {
|
||||
render(<FrontendPreviewPlayer {...baseProps} voiceAudioUrl="https://cdn.example.com/tts.mp3" />)
|
||||
expect(videos()).toHaveLength(2)
|
||||
videos().forEach((v) => expect(v.muted).toBe(true))
|
||||
})
|
||||
|
||||
it("无配音时 video 不 muted(素材原声兜底)", () => {
|
||||
render(<FrontendPreviewPlayer {...baseProps} />)
|
||||
videos().forEach((v) => expect(v.muted).toBe(false))
|
||||
})
|
||||
|
||||
it("无配音时点静音按钮,video 切换为 muted;再点恢复", () => {
|
||||
render(<FrontendPreviewPlayer {...baseProps} />)
|
||||
const vs = videos()
|
||||
expect(vs[0].muted).toBe(false)
|
||||
|
||||
fireEvent.click(screen.getByRole("button", { name: "静音" }))
|
||||
videos().forEach((v) => expect(v.muted).toBe(true))
|
||||
|
||||
fireEvent.click(screen.getByRole("button", { name: "取消静音" }))
|
||||
videos().forEach((v) => expect(v.muted).toBe(false))
|
||||
})
|
||||
|
||||
it("批量播放互斥:token 变为其他实例且本实例在播放时调用 pause", () => {
|
||||
mocks.isPlaying = true
|
||||
const { rerender } = render(
|
||||
<FrontendPreviewPlayer
|
||||
{...baseProps}
|
||||
playToken={1}
|
||||
activePlayToken={1}
|
||||
onPlayTokenChange={() => {}}
|
||||
compact
|
||||
/>,
|
||||
)
|
||||
expect(mocks.pause).not.toHaveBeenCalled()
|
||||
|
||||
// 播放权切给实例 2(0 基 token)
|
||||
rerender(
|
||||
<FrontendPreviewPlayer
|
||||
{...baseProps}
|
||||
playToken={1}
|
||||
activePlayToken={2}
|
||||
onPlayTokenChange={() => {}}
|
||||
compact
|
||||
/>,
|
||||
)
|
||||
expect(mocks.pause).toHaveBeenCalledTimes(1)
|
||||
|
||||
// token 切回自己:不重复暂停
|
||||
rerender(
|
||||
<FrontendPreviewPlayer
|
||||
{...baseProps}
|
||||
playToken={1}
|
||||
activePlayToken={1}
|
||||
onPlayTokenChange={() => {}}
|
||||
compact
|
||||
/>,
|
||||
)
|
||||
expect(mocks.pause).toHaveBeenCalledTimes(1)
|
||||
})
|
||||
|
||||
it("未播放时 token 变化不触发暂停(effect 仅在本实例播放时生效)", () => {
|
||||
// mocks.isPlaying = false(beforeEach 重置)
|
||||
const { rerender } = render(
|
||||
<FrontendPreviewPlayer {...baseProps} playToken={0} activePlayToken={0} compact />,
|
||||
)
|
||||
rerender(<FrontendPreviewPlayer {...baseProps} playToken={0} activePlayToken={1} compact />)
|
||||
expect(mocks.pause).not.toHaveBeenCalled()
|
||||
})
|
||||
|
||||
it("暂停状态下点击播放按钮:上报播放权为自身 playToken 并触发播放", () => {
|
||||
const onToken = vi.fn()
|
||||
render(
|
||||
<FrontendPreviewPlayer {...baseProps} playToken={2} onPlayTokenChange={onToken} compact />,
|
||||
)
|
||||
// 暂停态有两个图标播放按钮(中央大按钮 + 控制条按钮),均调 handleTogglePlay,点中央那个
|
||||
const playButtons = screen.getAllByRole("button").filter((b) => !b.getAttribute("aria-label"))
|
||||
expect(playButtons.length).toBeGreaterThanOrEqual(1)
|
||||
fireEvent.click(playButtons[0])
|
||||
expect(onToken).toHaveBeenCalledWith(2)
|
||||
expect(mocks.togglePlayPause).toHaveBeenCalledTimes(1)
|
||||
})
|
||||
|
||||
it("每个卡片都渲染独立静音按钮", () => {
|
||||
render(
|
||||
<div>
|
||||
<FrontendPreviewPlayer {...baseProps} playToken={0} compact />
|
||||
<FrontendPreviewPlayer {...baseProps} playToken={1} compact />
|
||||
<FrontendPreviewPlayer {...baseProps} playToken={2} compact />
|
||||
</div>,
|
||||
)
|
||||
expect(screen.getAllByRole("button", { name: "静音" })).toHaveLength(3)
|
||||
})
|
||||
|
||||
it("#1750 serverClips 缺失时不渲染任何 video(无本地模拟 fallback,显示无可播放素材)", () => {
|
||||
render(<FrontendPreviewPlayer {...baseProps} serverClips={undefined} />)
|
||||
expect(videos()).toHaveLength(0)
|
||||
expect(screen.getByText("暂无可播放素材")).toBeInTheDocument()
|
||||
})
|
||||
})
|
||||
@@ -0,0 +1,40 @@
|
||||
/**
|
||||
* 智能匹配候选池数量规则单测(#1744/#1750)
|
||||
*
|
||||
* #1750 基线:模板只有片段数/结构、没有时长概念——候选池纯按「片段数 × 3」
|
||||
* (每个片段至少 3 个候选供变体间洗牌避让),不再参考任何 duration 字段;
|
||||
* 结果钳制到 [1, 200](后端 limit 上限 200);无片段信息时兜底 30。
|
||||
*/
|
||||
import { describe, it, expect } from "vitest"
|
||||
import { computeLimitFromSegments } from "@/pages/generate/hooks/step2-materials/useSmartMatch"
|
||||
import type { TemplateSegment } from "@/api/templates/types"
|
||||
|
||||
function segs(n: number): TemplateSegment[] {
|
||||
// 新规则只看片段数量,duration 字段已废弃,这里不再构造
|
||||
return Array.from({ length: n }, () => ({}) as TemplateSegment)
|
||||
}
|
||||
|
||||
describe("computeLimitFromSegments (#1750 候选池 = 片段数×3)", () => {
|
||||
it("无 segments 时返回兜底 30", () => {
|
||||
expect(computeLimitFromSegments(undefined)).toBe(30)
|
||||
expect(computeLimitFromSegments([])).toBe(30)
|
||||
})
|
||||
|
||||
it("候选池 = 片段数 × 3(与任何时长字段无关)", () => {
|
||||
expect(computeLimitFromSegments(segs(1))).toBe(3)
|
||||
expect(computeLimitFromSegments(segs(3))).toBe(9)
|
||||
expect(computeLimitFromSegments(segs(5))).toBe(15)
|
||||
expect(computeLimitFromSegments(segs(10))).toBe(30)
|
||||
})
|
||||
|
||||
it("超过上限钳制为 200(后端 limit 上限)", () => {
|
||||
expect(computeLimitFromSegments(segs(67))).toBe(200) // 67×3=201 → 200
|
||||
expect(computeLimitFromSegments(segs(100))).toBe(200) // 100×3=300 → 200
|
||||
})
|
||||
|
||||
it("任何正常片段数下 limit 均 ≥ 1", () => {
|
||||
for (let n = 0; n <= 10; n++) {
|
||||
expect(computeLimitFromSegments(segs(n))).toBeGreaterThanOrEqual(1)
|
||||
}
|
||||
})
|
||||
})
|
||||
@@ -5,7 +5,6 @@
|
||||
*
|
||||
* 重构记录:
|
||||
* - useStep2Materials 拆分为 useMaterialLibrary + useSmartMatch 子 Hook
|
||||
* - Phase1 预览生成:新增 generation API 层 + PreviewVideoPanel
|
||||
*/
|
||||
import { describe, it, expect } from "vitest"
|
||||
|
||||
@@ -23,8 +22,6 @@ import "@/pages/generate/components/Step3VoiceWithMode"
|
||||
import "@/pages/generate/components/CanvasPreviewGrid"
|
||||
import "@/pages/generate/components/BatchGenerationGrid"
|
||||
import "@/pages/generate/components/PreviewCountModal"
|
||||
import "@/pages/generate/components/PreviewVideoPanel"
|
||||
import "@/pages/generate/components/GenerateResultPanel"
|
||||
import "@/pages/generate/components/GenerateStepContent"
|
||||
import "@/pages/generate/components/voice/VoiceRecommendSection"
|
||||
import "@/pages/generate/components/voice/VoiceChoiceCard"
|
||||
@@ -50,6 +47,8 @@ describe("GeneratePage module smoke test", () => {
|
||||
})
|
||||
import "@/pages/generate/hooks/useGenerateVideo"
|
||||
import "@/pages/generate/hooks/useBatchCovers"
|
||||
import "@/pages/generate/hooks/useBatchVariantPlans"
|
||||
import "@/pages/generate/hooks/useVariantVoicePreview"
|
||||
import "@/pages/generate/hooks/usePreviewAssets"
|
||||
import "@/pages/generate/hooks/useSegmentScheduler"
|
||||
import "@/pages/generate/hooks/generate-video/useGenerationPolling"
|
||||
|
||||
@@ -0,0 +1,230 @@
|
||||
/**
|
||||
* useBatchVariantPlans 单测(#1750 修正:严禁假数据冒充预览)
|
||||
* - 批量(N>1)时向后端申请变体计划,返回 clips/planIds
|
||||
* - 404(端点未上线)/ 400(参数错误)/ 网络错误:一律 error=true,UI 可重试
|
||||
* - 数据不完整(某变体 clips 为空):error=true
|
||||
* - retry() 重新发起请求,成功后 ready=true
|
||||
* - N=1 / 无素材 / disabled 不发请求
|
||||
* - 入参变化重新申请;未变化不重复请求
|
||||
*/
|
||||
import { describe, it, expect, vi, beforeEach } from "vitest"
|
||||
import { renderHook, waitFor, act } from "@testing-library/react"
|
||||
import { useBatchVariantPlans } from "@/pages/generate/hooks/useBatchVariantPlans"
|
||||
import type { EditPlanClip } from "@/api/template-editor"
|
||||
|
||||
vi.mock("@/api/generation/variantPlans", () => ({
|
||||
createBatchVariantPlans: vi.fn(),
|
||||
}))
|
||||
|
||||
import { createBatchVariantPlans } from "@/api/generation/variantPlans"
|
||||
|
||||
const mockCreate = vi.mocked(createBatchVariantPlans)
|
||||
|
||||
function makeClip(
|
||||
partial: Partial<EditPlanClip> & { asset_id: string; order: number },
|
||||
): EditPlanClip {
|
||||
return {
|
||||
id: `clip-${partial.asset_id}-${partial.order}`,
|
||||
plan_id: "plan-x",
|
||||
clip_type: "main",
|
||||
start_time: 0,
|
||||
duration: 5,
|
||||
text_content: "",
|
||||
transition_effect: "",
|
||||
transition_duration: 0,
|
||||
playback_speed: 1,
|
||||
status: "ready",
|
||||
config: {},
|
||||
...partial,
|
||||
}
|
||||
}
|
||||
|
||||
function buildResp(count: number) {
|
||||
return {
|
||||
total: count,
|
||||
items: Array.from({ length: count }, (_, i) => ({
|
||||
variant_index: i,
|
||||
plan_id: `plan-${i}`,
|
||||
clips: [makeClip({ asset_id: `a${(i % 3) + 1}`, order: 0, start_time: i * 2 })],
|
||||
})),
|
||||
}
|
||||
}
|
||||
|
||||
beforeEach(() => {
|
||||
vi.clearAllMocks()
|
||||
mockCreate.mockReset()
|
||||
})
|
||||
|
||||
describe("useBatchVariantPlans (#1750 错误态)", () => {
|
||||
it("批量 N=3 时申请变体计划并返回按索引对齐的 clips/planIds", async () => {
|
||||
mockCreate.mockResolvedValueOnce(buildResp(3))
|
||||
const { result } = renderHook(() =>
|
||||
useBatchVariantPlans({
|
||||
enabled: true,
|
||||
count: 3,
|
||||
templateId: "tpl-1",
|
||||
assetIds: ["a1", "a2", "a3"],
|
||||
sourcePlanId: "plan-src",
|
||||
}),
|
||||
)
|
||||
|
||||
await waitFor(() => expect(result.current.ready).toBe(true))
|
||||
expect(mockCreate).toHaveBeenCalledTimes(1)
|
||||
expect(mockCreate).toHaveBeenCalledWith({
|
||||
template_id: "tpl-1",
|
||||
asset_ids: ["a1", "a2", "a3"],
|
||||
count: 3,
|
||||
source_edit_plan_id: "plan-src",
|
||||
})
|
||||
expect(result.current.planIdsByVariant).toEqual(["plan-0", "plan-1", "plan-2"])
|
||||
expect(result.current.clipsByVariant[1]?.[0]?.start_time).toBe(2)
|
||||
expect(result.current.error).toBe(false)
|
||||
expect(result.current.loading).toBe(false)
|
||||
})
|
||||
|
||||
it("sourcePlanId 为空时不传 source_edit_plan_id 字段", async () => {
|
||||
mockCreate.mockResolvedValueOnce(buildResp(2))
|
||||
const { result } = renderHook(() =>
|
||||
useBatchVariantPlans({ enabled: true, count: 2, templateId: "tpl-1", assetIds: ["a1"] }),
|
||||
)
|
||||
await waitFor(() => expect(result.current.ready).toBe(true))
|
||||
const arg = mockCreate.mock.calls[0][0]
|
||||
expect(arg).not.toHaveProperty("source_edit_plan_id")
|
||||
})
|
||||
|
||||
it("404(后端端点未上线)→ error=true,不再静默降级", async () => {
|
||||
mockCreate.mockRejectedValueOnce({ response: { status: 404 } })
|
||||
const { result } = renderHook(() =>
|
||||
useBatchVariantPlans({ enabled: true, count: 3, templateId: "tpl-1", assetIds: ["a1"] }),
|
||||
)
|
||||
await waitFor(() => expect(result.current.loading).toBe(false))
|
||||
expect(result.current.error).toBe(true)
|
||||
expect(result.current.ready).toBe(false)
|
||||
expect(result.current.clipsByVariant).toEqual([])
|
||||
})
|
||||
|
||||
it("400(参数错误)→ error=true", async () => {
|
||||
mockCreate.mockRejectedValueOnce({ response: { status: 400, data: { detail: "参数错误" } } })
|
||||
const { result } = renderHook(() =>
|
||||
useBatchVariantPlans({ enabled: true, count: 3, templateId: "tpl-1", assetIds: ["a1"] }),
|
||||
)
|
||||
await waitFor(() => expect(result.current.loading).toBe(false))
|
||||
expect(result.current.error).toBe(true)
|
||||
expect(result.current.ready).toBe(false)
|
||||
})
|
||||
|
||||
it("网络错误 → error=true", async () => {
|
||||
mockCreate.mockRejectedValue(new Error("Network Error"))
|
||||
const { result } = renderHook(() =>
|
||||
useBatchVariantPlans({ enabled: true, count: 3, templateId: "tpl-1", assetIds: ["a1"] }),
|
||||
)
|
||||
await waitFor(() => expect(result.current.loading).toBe(false))
|
||||
expect(result.current.error).toBe(true)
|
||||
expect(result.current.ready).toBe(false)
|
||||
})
|
||||
|
||||
it("某变体 clips 为空(数据不完整)→ error=true,严禁假数据冒充", async () => {
|
||||
mockCreate.mockResolvedValueOnce({
|
||||
total: 2,
|
||||
items: [
|
||||
{ variant_index: 0, plan_id: "plan-0", clips: [makeClip({ asset_id: "a1", order: 0 })] },
|
||||
{ variant_index: 1, plan_id: "plan-1", clips: [] },
|
||||
],
|
||||
})
|
||||
const { result } = renderHook(() =>
|
||||
useBatchVariantPlans({ enabled: true, count: 2, templateId: "tpl-1", assetIds: ["a1"] }),
|
||||
)
|
||||
await waitFor(() => expect(result.current.loading).toBe(false))
|
||||
expect(result.current.error).toBe(true)
|
||||
expect(result.current.ready).toBe(false)
|
||||
expect(result.current.clipsByVariant).toEqual([])
|
||||
})
|
||||
|
||||
it("retry() 失败后重试:成功则 error 清除、ready=true", async () => {
|
||||
mockCreate.mockRejectedValueOnce({ response: { status: 404 } })
|
||||
const { result } = renderHook(() =>
|
||||
useBatchVariantPlans({ enabled: true, count: 3, templateId: "tpl-1", assetIds: ["a1"] }),
|
||||
)
|
||||
await waitFor(() => expect(result.current.error).toBe(true))
|
||||
|
||||
mockCreate.mockResolvedValueOnce(buildResp(3))
|
||||
act(() => {
|
||||
result.current.retry()
|
||||
})
|
||||
await waitFor(() => expect(result.current.ready).toBe(true))
|
||||
expect(result.current.error).toBe(false)
|
||||
expect(mockCreate).toHaveBeenCalledTimes(2)
|
||||
})
|
||||
|
||||
it("N=1 不发请求(单视频零回归)", () => {
|
||||
renderHook(() =>
|
||||
useBatchVariantPlans({ enabled: true, count: 1, templateId: "tpl-1", assetIds: ["a1"] }),
|
||||
)
|
||||
expect(mockCreate).not.toHaveBeenCalled()
|
||||
})
|
||||
|
||||
it("无素材/enabled=false 不发请求", () => {
|
||||
const { rerender } = renderHook(
|
||||
(props: { enabled: boolean; ids: string[] }) =>
|
||||
useBatchVariantPlans({
|
||||
enabled: props.enabled,
|
||||
count: 3,
|
||||
templateId: "tpl-1",
|
||||
assetIds: props.ids,
|
||||
}),
|
||||
{ initialProps: { enabled: true, ids: [] as string[] } },
|
||||
)
|
||||
expect(mockCreate).not.toHaveBeenCalled()
|
||||
rerender({ enabled: false, ids: ["a1"] })
|
||||
expect(mockCreate).not.toHaveBeenCalled()
|
||||
})
|
||||
|
||||
it("响应乱序/越界 variant_index:越界丢弃、其余按索引对齐", async () => {
|
||||
mockCreate.mockResolvedValueOnce({
|
||||
total: 2,
|
||||
items: [
|
||||
{ variant_index: 99, plan_id: "plan-bad", clips: [makeClip({ asset_id: "a9", order: 0 })] },
|
||||
{ variant_index: 1, plan_id: "plan-1", clips: [makeClip({ asset_id: "a2", order: 0 })] },
|
||||
{ variant_index: 0, plan_id: "plan-0", clips: [makeClip({ asset_id: "a1", order: 0 })] },
|
||||
],
|
||||
})
|
||||
const { result } = renderHook(() =>
|
||||
useBatchVariantPlans({
|
||||
enabled: true,
|
||||
count: 2,
|
||||
templateId: "tpl-1",
|
||||
assetIds: ["a1", "a2"],
|
||||
}),
|
||||
)
|
||||
await waitFor(() => expect(result.current.ready).toBe(true))
|
||||
// 越界 99 丢弃;乱序返回的 0/1 按索引对齐
|
||||
expect(result.current.error).toBe(false)
|
||||
expect(result.current.planIdsByVariant).toEqual(["plan-0", "plan-1"])
|
||||
expect(result.current.clipsByVariant[0]?.[0]?.asset_id).toBe("a1")
|
||||
expect(result.current.clipsByVariant[1]?.[0]?.asset_id).toBe("a2")
|
||||
})
|
||||
|
||||
it("非 ready 状态的 clip 被过滤;过滤后每变体仍有片段则 ready", async () => {
|
||||
mockCreate.mockResolvedValueOnce({
|
||||
total: 2,
|
||||
items: [
|
||||
{
|
||||
variant_index: 0,
|
||||
plan_id: "plan-0",
|
||||
clips: [
|
||||
makeClip({ asset_id: "a1", order: 0 }),
|
||||
makeClip({ asset_id: "a2", order: 1, status: "pending" }),
|
||||
],
|
||||
},
|
||||
{ variant_index: 1, plan_id: "plan-1", clips: [makeClip({ asset_id: "a3", order: 0 })] },
|
||||
],
|
||||
})
|
||||
const { result } = renderHook(() =>
|
||||
useBatchVariantPlans({ enabled: true, count: 2, templateId: "tpl-1", assetIds: ["a1"] }),
|
||||
)
|
||||
await waitFor(() => expect(result.current.ready).toBe(true))
|
||||
expect(result.current.error).toBe(false)
|
||||
expect(result.current.clipsByVariant[0]).toHaveLength(1)
|
||||
expect(result.current.clipsByVariant[0]?.[0]?.asset_id).toBe("a1")
|
||||
})
|
||||
})
|
||||
@@ -34,7 +34,9 @@ def create_video_record_and_dedup(
|
||||
fps: float = 25.0,
|
||||
name: str = "",
|
||||
thumbnail_url: str = "",
|
||||
) -> int:
|
||||
) -> dict:
|
||||
"""Returns: {"video_count": int, "is_duplicate": bool, "batch_similarity": float|None,
|
||||
"duplicate_of": str|None} —— batch_similarity 为批次内最高相似度(无批次查重时 None)。"""
|
||||
"""创建 GeneratedVideo 记录,计算指纹并执行查重(历史 + 批次)。
|
||||
|
||||
采用两阶段持久化:先计算所有指纹/查重数据(内存),
|
||||
@@ -76,6 +78,7 @@ def create_video_record_and_dedup(
|
||||
# ── Phase 2: 计算指纹 & 查重(全部在内存) ────────────────
|
||||
deduplicator = VideoDeduplicator()
|
||||
fingerprint = None
|
||||
batch_similarity: float | None = None
|
||||
|
||||
try:
|
||||
fingerprint = deduplicator.compute_fingerprint(video_path)
|
||||
@@ -105,9 +108,11 @@ def create_video_record_and_dedup(
|
||||
)
|
||||
|
||||
# (b) 批次内查重(仅当有 batch_id 时)
|
||||
batch_similarity: float | None = None
|
||||
if not duplicate_result and batch_id:
|
||||
duplicate_result = deduplicator.check_batch_duplicate(fingerprint, batch_id, video_id, session)
|
||||
|
||||
if duplicate_result:
|
||||
batch_similarity = float(duplicate_result.get("similarity", 0.0))
|
||||
if duplicate_result:
|
||||
generated_video.is_duplicate = True
|
||||
generated_video.duplicate_of = duplicate_result["duplicate_of"]
|
||||
@@ -161,7 +166,12 @@ def create_video_record_and_dedup(
|
||||
generated_video.is_duplicate,
|
||||
generated_video.duplicate_rate,
|
||||
)
|
||||
return 1
|
||||
return {
|
||||
"video_count": 1,
|
||||
"is_duplicate": bool(generated_video.is_duplicate),
|
||||
"batch_similarity": batch_similarity,
|
||||
"duplicate_of": generated_video.duplicate_of,
|
||||
}
|
||||
except Exception as e:
|
||||
logger.error(
|
||||
"Failed to create video record / dedup for task %s: %s",
|
||||
@@ -169,4 +179,4 @@ def create_video_record_and_dedup(
|
||||
e,
|
||||
)
|
||||
session.rollback()
|
||||
return 0
|
||||
return {"video_count": 0, "is_duplicate": False, "batch_similarity": None, "duplicate_of": None}
|
||||
|
||||
@@ -1,10 +1,20 @@
|
||||
from datetime import datetime, timezone
|
||||
|
||||
|
||||
def mark_asset_used_for_generation(asset) -> None:
|
||||
def mark_asset_used_for_generation(asset, times: int = 1) -> None:
|
||||
"""标记素材在成片中被使用,累加使用次数。
|
||||
|
||||
Args:
|
||||
asset: Asset 实体(metadata 就地更新)
|
||||
times: 本次成片实际使用次数(= 最终成片 plan 中引用该素材的片段数)。
|
||||
按「成片实际渲染的片段」计数而非请求传入的 asset_ids 列表——
|
||||
请求列表可能含未被 plan 选用的素材(不应计数),同一素材在多片段
|
||||
复用时应按片段数累加(高频排除/未使用偏好才与真实渲染强度挂钩)。
|
||||
"""
|
||||
times = max(1, int(times or 1))
|
||||
asset.metadata = {
|
||||
**asset.metadata,
|
||||
"generation_use_count": int(asset.metadata.get("generation_use_count") or 0) + 1,
|
||||
"generation_use_count": int(asset.metadata.get("generation_use_count") or 0) + times,
|
||||
"last_used_at": datetime.now(timezone.utc).isoformat(),
|
||||
"review_status": asset.metadata.get("review_status") or "pending_review",
|
||||
}
|
||||
|
||||
@@ -383,35 +383,131 @@ def _load_task_info(task_id: str) -> dict | None:
|
||||
session.close()
|
||||
|
||||
|
||||
def _upload_and_record(
|
||||
# ── #1743 批量变体重渲/封面判定(纯函数,便于单测) ──────────────────────
|
||||
BATCH_RENDER_SIMILARITY_LIMIT = 0.20
|
||||
"""批次内成片查重相似度阈值:超过则重选独立 plan 重渲一次(20%)。"""
|
||||
|
||||
|
||||
def should_rerender_for_batch_dedup(*, batch_id: str, render_attempt: int, batch_similarity) -> bool:
|
||||
"""批次内查重后判定是否需要重选 plan 重渲。
|
||||
|
||||
条件(全部满足才重渲):批次任务、首版(attempt==0)、查重率已得出、相似度 > 20%。
|
||||
非批次任务 / 已是重渲版 / 查重率缺失 / 相似度达标 → 不重渲。
|
||||
"""
|
||||
if not batch_id:
|
||||
return False
|
||||
if render_attempt >= 1:
|
||||
return False
|
||||
if batch_similarity is None:
|
||||
return False
|
||||
return float(batch_similarity) > BATCH_RENDER_SIMILARITY_LIMIT
|
||||
|
||||
|
||||
def pick_batch_cover_index(task_id: str, candidate_count: int) -> int:
|
||||
"""批次变体封面帧选取:按 task_id md5 稳定哈希分散到候选帧。
|
||||
|
||||
同任务重试结果稳定;批次内不同 task_id 哈希后分散,避免 N 个变体都抽 frame_0
|
||||
导致封面雷同。非批次调用方应直接取 0(主流程按 batch_id 区分)。
|
||||
"""
|
||||
if candidate_count <= 1:
|
||||
return 0
|
||||
import hashlib
|
||||
|
||||
return int(hashlib.md5(task_id.encode()).hexdigest(), 16) % candidate_count
|
||||
|
||||
|
||||
def _count_plan_clip_asset_usage(session, plan_id: str) -> dict[str, int]:
|
||||
"""统计最终成片 plan 中每个素材被片段引用的次数。
|
||||
|
||||
计数口径(#1743):以成片实际渲染的 edit_plan_clips 为准——
|
||||
同一素材在多个片段复用按片段数累加;未被 plan 选用的素材(即使
|
||||
出现在请求 asset_ids 中)不计数。
|
||||
"""
|
||||
from packages.adapters.sqlalchemy_impl.models import EditPlanClipModel
|
||||
|
||||
rows = session.query(EditPlanClipModel.asset_id).filter(EditPlanClipModel.plan_id == plan_id).all()
|
||||
counts: dict[str, int] = {}
|
||||
for (asset_id,) in rows:
|
||||
if asset_id:
|
||||
counts[asset_id] = counts.get(asset_id, 0) + 1
|
||||
return counts
|
||||
|
||||
|
||||
def _record_rendered_asset_usage(
|
||||
session,
|
||||
plan_id: str,
|
||||
task_id: str,
|
||||
fallback_asset_ids: list[str] | None = None,
|
||||
) -> int:
|
||||
"""按最终成片 plan 的实际片段统计素材使用次数并回写 metadata。
|
||||
|
||||
plan 无有效片段素材(异常数据)时退回 fallback_asset_ids 每个计 1 次,
|
||||
保证使用统计不因数据异常完全丢失。单素材回写失败不影响其他素材。
|
||||
|
||||
Returns: 实际回写次数的素材数量。
|
||||
"""
|
||||
from worker_app.core.asset_usage import mark_asset_used_for_generation
|
||||
|
||||
from packages.adapters.sqlalchemy_impl.asset_repository import (
|
||||
SQLAlchemyAssetRepository,
|
||||
)
|
||||
|
||||
used_counts = _count_plan_clip_asset_usage(session, plan_id)
|
||||
if not used_counts and fallback_asset_ids:
|
||||
used_counts = {aid: 1 for aid in fallback_asset_ids if aid}
|
||||
if not used_counts:
|
||||
logger.info("[task_id=%s] 素材使用计数: plan=%s 无有效片段素材,跳过", task_id, plan_id)
|
||||
return 0
|
||||
|
||||
asset_repo = SQLAlchemyAssetRepository(session)
|
||||
written = 0
|
||||
for aid, times in used_counts.items():
|
||||
try:
|
||||
asset = asset_repo.get(aid)
|
||||
if asset:
|
||||
mark_asset_used_for_generation(asset, times=times)
|
||||
asset_repo.update(asset)
|
||||
written += 1
|
||||
except Exception:
|
||||
logger.warning(
|
||||
"[task_id=%s] 更新素材使用次数失败: asset_id=%s times=%d",
|
||||
task_id,
|
||||
aid,
|
||||
times,
|
||||
exc_info=True,
|
||||
)
|
||||
logger.info(
|
||||
"[task_id=%s] 素材使用计数回写完成(plan=%s): %d 个素材, 片段引用 %d 次",
|
||||
task_id,
|
||||
plan_id,
|
||||
written,
|
||||
sum(used_counts.values()),
|
||||
)
|
||||
return written
|
||||
|
||||
|
||||
def _upload_rendered_video(
|
||||
task_id: str,
|
||||
output_path: Path,
|
||||
project_id: str,
|
||||
batch_id: str,
|
||||
editing_mode,
|
||||
user_id: str = "",
|
||||
video_name: str = "",
|
||||
thumbnail_url: str = "",
|
||||
) -> tuple[str, float, int, int]:
|
||||
"""上传 OSS、创建视频记录并查重。
|
||||
*,
|
||||
attempt: int = 0,
|
||||
) -> tuple[str, str]:
|
||||
"""上传成片到 OSS(不落库)。attempt>0 时文件名带轮次后缀,避免覆盖首版。
|
||||
|
||||
Returns:
|
||||
(file_url, duration, file_size, video_count)
|
||||
Returns: (file_url, storage_key)
|
||||
"""
|
||||
# project_id 可能为空(模板编辑器草稿不属于任何项目),过滤空段避免 OSS key 出现 //
|
||||
path_parts = [p for p in ("generated", "projects", project_id, "tasks", task_id, output_path.name) if p]
|
||||
suffix = f"_v{attempt}" if attempt > 0 else ""
|
||||
stem = output_path.stem
|
||||
name = f"{stem}{suffix}{output_path.suffix or '.mp4'}"
|
||||
path_parts = [p for p in ("generated", "projects", project_id, "tasks", task_id, name) if p]
|
||||
storage_key = "/".join(path_parts)
|
||||
file_size = output_path.stat().st_size
|
||||
|
||||
# 上传 OSS
|
||||
logger.info("[task_id=%s] [OSS上传] 开始上传: size=%d", task_id, file_size)
|
||||
upload_start = time.monotonic()
|
||||
logger.info("[task_id=%s] [OSS上传] 开始上传(attempt=%d): size=%d", task_id, attempt, output_path.stat().st_size)
|
||||
file_url = upload_to_oss(output_path, storage_key)
|
||||
upload_elapsed = time.monotonic() - upload_start
|
||||
if not file_url:
|
||||
raise RuntimeError(f"OSS 上传失败: task_id={task_id}, storage_key={storage_key}")
|
||||
|
||||
# 校验 URL 可达性(P0-2: 私有 bucket 用预签名 + object_exists 降级)
|
||||
verify_url = get_signed_download_url(file_url, expires_seconds=300) or file_url
|
||||
if not _verify_url_accessible(verify_url):
|
||||
from video_processing.oss_helpers import normalize_storage_key, oss_bucket
|
||||
@@ -420,25 +516,58 @@ def _upload_and_record(
|
||||
key = normalize_storage_key(file_url)
|
||||
if not (bucket and bucket.object_exists(key)):
|
||||
raise RuntimeError(
|
||||
f"OSS 上传后 URL 不可访问且 object_exists 失败: file_url={file_url}, " f"storage_key={storage_key}"
|
||||
f"OSS 上传后 URL 不可访问且 object_exists 失败: file_url={file_url}, storage_key={storage_key}"
|
||||
)
|
||||
logger.info(
|
||||
"URL 校验失败但 object_exists 确认文件存在,视为上传成功: storage_key=%s",
|
||||
key,
|
||||
)
|
||||
logger.info("URL 校验失败但 object_exists 确认文件存在,视为上传成功: storage_key=%s", key)
|
||||
return file_url, storage_key
|
||||
|
||||
logger.info(
|
||||
"[task_id=%s] [OSS上传] 成功: 耗时=%.1fs, file_url=%s",
|
||||
task_id,
|
||||
upload_elapsed,
|
||||
file_url,
|
||||
)
|
||||
|
||||
# 创建 GeneratedVideo 记录 + 查重
|
||||
duration = probe_duration(output_path)
|
||||
def _reselect_plan_for_batch_retry(task_id: str, plan_id: str, task_info: dict) -> str | None:
|
||||
"""批次内查重超阈值后,为当前任务重新独立选片生成新 plan(#1743 自动重渲)。
|
||||
|
||||
复用 API 侧同一套 EditPlanService.reselect_plan_for_variant(packages 层
|
||||
variant_plan_selector 纯核心),素材池来自任务 asset_ids + 源 plan 素材。
|
||||
成功返回新 plan_id;失败返回 None(调用方放弃重渲,保留首版)。
|
||||
"""
|
||||
try:
|
||||
from app.services.edit_plan_service import EditPlanService
|
||||
|
||||
db = SessionLocal()
|
||||
try:
|
||||
svc = EditPlanService(db)
|
||||
asset_pool = list(task_info.get("task_asset_ids") or [])
|
||||
new_plan = svc.reselect_plan_for_variant(
|
||||
plan_id,
|
||||
asset_pool,
|
||||
created_by_user_id=task_info.get("user_id", ""),
|
||||
name_suffix="重渲变体",
|
||||
)
|
||||
return new_plan.id
|
||||
finally:
|
||||
db.close()
|
||||
except Exception:
|
||||
logger.warning("[task_id=%s] 批次重渲前重选 plan 失败,放弃重渲", task_id, exc_info=True)
|
||||
return None
|
||||
|
||||
|
||||
def _record_video_and_dedup(
|
||||
*,
|
||||
task_id: str,
|
||||
project_id: str,
|
||||
batch_id: str,
|
||||
editing_mode,
|
||||
user_id: str,
|
||||
file_url: str,
|
||||
file_size: int,
|
||||
video_path: str,
|
||||
video_name: str = "",
|
||||
thumbnail_url: str = "",
|
||||
) -> dict:
|
||||
"""成片落库 + 指纹查重(含批次内)。返回查重信息 dict。"""
|
||||
duration = probe_duration(Path(video_path))
|
||||
dedup_session = SessionLocal()
|
||||
try:
|
||||
video_count = create_video_record_and_dedup(
|
||||
result = create_video_record_and_dedup(
|
||||
generation_task_id=task_id,
|
||||
project_id=project_id,
|
||||
user_id=user_id,
|
||||
@@ -446,7 +575,7 @@ def _upload_and_record(
|
||||
file_url=file_url,
|
||||
file_size=file_size,
|
||||
duration=duration,
|
||||
video_path=str(output_path),
|
||||
video_path=video_path,
|
||||
mode=editing_mode.value,
|
||||
session=dedup_session,
|
||||
name=video_name,
|
||||
@@ -454,11 +583,12 @@ def _upload_and_record(
|
||||
)
|
||||
finally:
|
||||
dedup_session.close()
|
||||
|
||||
return file_url, duration, file_size, video_count or 1
|
||||
result["duration"] = duration
|
||||
return result
|
||||
|
||||
|
||||
# ── Celery Task ──────────────────────────────────────────────────────────────
|
||||
# ── Celery Task ──────────────────────────────────────────────────────────────
|
||||
|
||||
|
||||
def _sync_task_config_to_plan(source_edit_plan_id: str, task_info: dict, db) -> str | None:
|
||||
@@ -729,19 +859,29 @@ def generate_video(self, task_id: str) -> dict:
|
||||
gen_task.append_log("渲染模式", "从草稿数据渲染(与预览一致)")
|
||||
_flush_logs(task_id, gen_task)
|
||||
|
||||
output_path, render_duration, cover_candidates, voiceover_tmp_path, render_temp_dir, thumbnail_url = (
|
||||
_render_from_edit_plan(
|
||||
# ── 渲染→上传→查重→(批次超阈值则重选 plan 重渲一次)循环(#1743)──
|
||||
current_plan_id = source_edit_plan_id
|
||||
file_url = ""
|
||||
duration = 0.0
|
||||
file_size = 0
|
||||
video_count = 1
|
||||
file_size_final = 0
|
||||
for render_attempt in range(2): # 首版 + 最多 1 次重渲
|
||||
(
|
||||
output_path,
|
||||
render_duration,
|
||||
cover_candidates,
|
||||
voiceover_tmp_path,
|
||||
render_temp_dir,
|
||||
thumbnail_url,
|
||||
) = _render_from_edit_plan(
|
||||
task_id=task_id,
|
||||
source_edit_plan_id=source_edit_plan_id,
|
||||
source_edit_plan_id=current_plan_id,
|
||||
task_info=task_info,
|
||||
)
|
||||
)
|
||||
# 从这里开始,render_temp_dir 已赋值,必须确保异常时也能清理
|
||||
try:
|
||||
if gen_task:
|
||||
gen_task.append_log("渲染", f"渲染完成, 时长={render_duration:.1f}s")
|
||||
gen_task.append_log("渲染", f"渲染完成(第{render_attempt + 1}版), 时长={render_duration:.1f}s")
|
||||
_flush_logs(task_id, gen_task)
|
||||
|
||||
_update_task_progress(task_id, 80, "渲染完成")
|
||||
|
||||
# ── 3.5 随机边缘裁剪降重(#1664) ──────────────────────────
|
||||
@@ -751,7 +891,7 @@ def generate_video(self, task_id: str) -> dict:
|
||||
cropped_path = random_edge_crop(output_path)
|
||||
if cropped_path != output_path:
|
||||
output_path = cropped_path
|
||||
if gen_task:
|
||||
if gen_task and render_attempt == 0:
|
||||
gen_task.append_log("边缘裁剪", "已应用随机 2-5% 边缘裁剪降重")
|
||||
_flush_logs(task_id, gen_task)
|
||||
logger.info("[task_id=%s] 随机边缘裁剪完成: %s", task_id, output_path)
|
||||
@@ -762,45 +902,110 @@ def generate_video(self, task_id: str) -> dict:
|
||||
crop_err,
|
||||
exc_info=True,
|
||||
)
|
||||
if gen_task:
|
||||
gen_task.append_log("边缘裁剪", f"裁剪失败,使用原始视频: {crop_err}")
|
||||
_flush_logs(task_id, gen_task)
|
||||
|
||||
# ── 4. 上传 OSS + 查重记录 ───────────────────────────────
|
||||
# ── 4. 上传 OSS(不落库) ───────────────────────────────
|
||||
_update_task_progress(task_id, 85, "开始上传")
|
||||
file_url, duration, file_size, video_count = _upload_and_record(
|
||||
file_url, _storage_key = _upload_rendered_video(
|
||||
task_id=task_id,
|
||||
output_path=output_path,
|
||||
project_id=project_id,
|
||||
attempt=render_attempt,
|
||||
)
|
||||
file_size = output_path.stat().st_size
|
||||
|
||||
# ── 4.5 落库 + 查重(批次任务检查批次内相似度) ───────────
|
||||
dedup_info = _record_video_and_dedup(
|
||||
task_id=task_id,
|
||||
project_id=project_id,
|
||||
batch_id=batch_id,
|
||||
editing_mode=editing_mode,
|
||||
user_id=user_id,
|
||||
file_url=file_url,
|
||||
file_size=file_size,
|
||||
video_path=str(output_path),
|
||||
video_name=task_info.get("video_title", ""),
|
||||
thumbnail_url=thumbnail_url,
|
||||
)
|
||||
duration = dedup_info.get("duration", render_duration)
|
||||
video_count = dedup_info.get("video_count", 1)
|
||||
batch_sim = dedup_info.get("batch_similarity")
|
||||
|
||||
if gen_task:
|
||||
gen_task.append_log(
|
||||
"OSS上传",
|
||||
f"上传成功, 大小={file_size}",
|
||||
f"第{render_attempt + 1}版上传成功, 大小={file_size}"
|
||||
+ (f", 批次相似度={batch_sim:.0%}" if batch_sim is not None else ""),
|
||||
file_size=file_size,
|
||||
file_url=file_url,
|
||||
)
|
||||
_flush_logs(task_id, gen_task)
|
||||
|
||||
_update_task_progress(task_id, 95, "上传完成")
|
||||
finally:
|
||||
# 清理渲染临时目录(无论后续步骤成功与否都清理)
|
||||
# 非批次 / 相似度达标 / 已是最后一次 → 结束循环
|
||||
if not should_rerender_for_batch_dedup(
|
||||
batch_id=batch_id,
|
||||
render_attempt=render_attempt,
|
||||
batch_similarity=batch_sim,
|
||||
):
|
||||
file_size_final = file_size
|
||||
break
|
||||
|
||||
# 批次内相似度过高:重选独立 plan 后重渲一次
|
||||
logger.warning(
|
||||
"[task_id=%s] 批次内查重相似度 %.2f 超阈值 %.2f,重选 plan 重渲",
|
||||
task_id,
|
||||
batch_sim,
|
||||
BATCH_RENDER_SIMILARITY_LIMIT,
|
||||
)
|
||||
if gen_task:
|
||||
gen_task.append_log("批次查重", f"与批次内成片相似度过高({batch_sim:.0%}),重新选片渲染")
|
||||
_flush_logs(task_id, gen_task)
|
||||
new_plan_id = _reselect_plan_for_batch_retry(task_id, current_plan_id, task_info)
|
||||
if not new_plan_id:
|
||||
logger.warning("[task_id=%s] 重选 plan 失败,保留首版", task_id)
|
||||
file_size_final = file_size
|
||||
break
|
||||
# 回写任务关联的 plan(重渲版以新 plan 渲染)
|
||||
try:
|
||||
_ps = SessionLocal()
|
||||
try:
|
||||
from packages.adapters.sqlalchemy_impl.generation_task_repository import (
|
||||
SQLAlchemyGenerationTaskRepository,
|
||||
)
|
||||
|
||||
_pr = SQLAlchemyGenerationTaskRepository(_ps)
|
||||
_gt = _pr.get(task_id)
|
||||
if _gt:
|
||||
_gt.source_edit_plan_id = new_plan_id
|
||||
_pr.update(_gt)
|
||||
finally:
|
||||
_ps.close()
|
||||
except Exception:
|
||||
logger.warning("[task_id=%s] 回写重渲 plan_id 失败", task_id, exc_info=True)
|
||||
current_plan_id = new_plan_id
|
||||
# 清理本轮临时目录,下一轮重新渲染
|
||||
if render_temp_dir:
|
||||
import shutil
|
||||
|
||||
shutil.rmtree(render_temp_dir, ignore_errors=True)
|
||||
logger.info("[task_id=%s] 渲染临时目录已清理: %s", task_id, render_temp_dir)
|
||||
render_temp_dir = None
|
||||
|
||||
file_size = file_size_final or file_size
|
||||
_update_task_progress(task_id, 95, "上传完成")
|
||||
|
||||
# 渲染结束后清理临时目录(重渲循环内每轮已清理,此处兜底最后一轮)
|
||||
if render_temp_dir:
|
||||
import shutil
|
||||
|
||||
shutil.rmtree(render_temp_dir, ignore_errors=True)
|
||||
logger.info("[task_id=%s] 渲染临时目录已清理: %s", task_id, render_temp_dir)
|
||||
|
||||
# ── 4.5 封面帧持久化 ────────────────────────────────────────────
|
||||
try:
|
||||
if cover_candidates:
|
||||
first = cover_candidates[0]
|
||||
# #1743:批量变体封面差异化——候选帧按 task_id 稳定哈希分散选取
|
||||
# (同任务重试稳定,批次内不同任务落在不同帧位),非批次取首帧。
|
||||
_cover_idx = pick_batch_cover_index(task_id, len(cover_candidates)) if batch_id else 0
|
||||
first = cover_candidates[_cover_idx]
|
||||
cover_frame_url = first.get("image_url") or first.get("url") or ""
|
||||
if cover_frame_url:
|
||||
_cover_session = SessionLocal()
|
||||
@@ -859,35 +1064,22 @@ def generate_video(self, task_id: str) -> dict:
|
||||
logger.warning("[task_id=%s] 更新标题使用次数异常", task_id, exc_info=True)
|
||||
|
||||
# 5.2 更新素材使用次数
|
||||
# 按「最终成片 plan 实际渲染的片段」计数(#1743):不用请求传入的
|
||||
# task.asset_ids(可能含未被 plan 选用的素材),同一素材多片段复用
|
||||
# 按片段数累加,使 unused_bonus / 高频排除与真实渲染强度挂钩。
|
||||
# current_plan_id 是重渲循环结束后最终成片所用 plan(首版或重渲版)。
|
||||
try:
|
||||
from worker_app.core.asset_usage import mark_asset_used_for_generation
|
||||
|
||||
_asset_session = SessionLocal()
|
||||
try:
|
||||
from packages.adapters.sqlalchemy_impl.asset_repository import (
|
||||
SQLAlchemyAssetRepository,
|
||||
)
|
||||
from packages.adapters.sqlalchemy_impl.generation_task_repository import (
|
||||
SQLAlchemyGenerationTaskRepository,
|
||||
)
|
||||
|
||||
_task_repo = SQLAlchemyGenerationTaskRepository(_asset_session)
|
||||
_asset_repo = SQLAlchemyAssetRepository(_asset_session)
|
||||
_gen_task = _task_repo.get(task_id)
|
||||
if _gen_task and _gen_task.asset_ids:
|
||||
for _aid in _gen_task.asset_ids:
|
||||
try:
|
||||
_asset = _asset_repo.get(_aid)
|
||||
if _asset:
|
||||
mark_asset_used_for_generation(_asset)
|
||||
_asset_repo.update(_asset)
|
||||
except Exception:
|
||||
logger.warning(
|
||||
"[task_id=%s] 更新素材使用次数失败: asset_id=%s",
|
||||
task_id,
|
||||
_aid,
|
||||
exc_info=True,
|
||||
)
|
||||
_fallback_ids: list[str] = []
|
||||
_gt_for_assets = SQLAlchemyGenerationTaskRepository(_asset_session).get(task_id)
|
||||
if _gt_for_assets:
|
||||
_fallback_ids = list(_gt_for_assets.asset_ids or [])
|
||||
_record_rendered_asset_usage(_asset_session, current_plan_id, task_id, _fallback_ids)
|
||||
finally:
|
||||
_asset_session.close()
|
||||
except Exception:
|
||||
|
||||
@@ -34,7 +34,7 @@ class WechatSyncRequest:
|
||||
):
|
||||
self.openid = openid.strip()
|
||||
self.unionid = unionid.strip() if unionid else ""
|
||||
self.nickname = nickname or "微信用户"
|
||||
self.nickname = nickname or "小虾同学" # 微信新规拿不到真实昵称,新用户默认昵称
|
||||
self.avatar_url = avatar_url or ""
|
||||
self.source = source
|
||||
|
||||
@@ -227,7 +227,7 @@ class WechatSyncUseCase:
|
||||
id=user_id,
|
||||
email=email,
|
||||
username=username,
|
||||
display_name=request.nickname or "微信用户",
|
||||
display_name=request.nickname or "小虾同学",
|
||||
password_hash=password_hash,
|
||||
email_verified=True, # 微信登录视为已验证
|
||||
wechat_openid=request.openid,
|
||||
|
||||
@@ -10,6 +10,7 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import math
|
||||
import random
|
||||
from dataclasses import dataclass, field
|
||||
from datetime import datetime, timezone
|
||||
from typing import Any
|
||||
@@ -130,6 +131,7 @@ def smart_select_assets(
|
||||
limit: int | None = None,
|
||||
kind: str | None = None,
|
||||
now: datetime | None = None,
|
||||
rng: random.Random | None = None,
|
||||
) -> list[SmartMatchResult]:
|
||||
"""从素材列表中智能选取素材。
|
||||
|
||||
@@ -138,9 +140,11 @@ def smart_select_assets(
|
||||
limit: 最大返回数量,None 表示不限制
|
||||
kind: 按文件类型过滤(video/image/audio),None 表示不过滤
|
||||
now: 当前时间(用于测试注入)
|
||||
rng: 随机数生成器(用于测试注入,控制排序噪声可复现)
|
||||
|
||||
Returns:
|
||||
按得分降序排列的 SmartMatchResult 列表
|
||||
按有效得分(综合得分 + 随机噪声)降序排列的 SmartMatchResult 列表。
|
||||
r.score 始终为无噪声的原始综合得分;噪声仅用于排序/分桶顺序。
|
||||
"""
|
||||
# Step 1: 过滤 ready 状态
|
||||
ready_assets = [a for a in assets if _get_enum_value(a, "status") == "ready"]
|
||||
@@ -158,22 +162,39 @@ def smart_select_assets(
|
||||
total, breakdown = score_asset(a, now=now)
|
||||
scored.append(SmartMatchResult(asset=a, score=total, breakdown=breakdown))
|
||||
|
||||
# Step 4: 按得分降序排序
|
||||
scored.sort(key=lambda r: r.score, reverse=True)
|
||||
# Step 4: 按「得分 + 随机噪声」降序排序
|
||||
# 同分/近分素材(分差 <= SCORE_RANDOM_NOISE_MAX)每次选出的顺序与组合不同,
|
||||
# 从素材组合层面降低成片重复率;分差显著(>20)的高质量素材排名不受影响。
|
||||
# 噪声以 asset.id 为 key 缓存,保证同一次调用内排序与分桶轮询顺序一致。
|
||||
rng = rng or random.Random()
|
||||
noise_by_asset: dict[str, float] = {
|
||||
getattr(a, "id", ""): rng.uniform(0.0, SCORE_RANDOM_NOISE_MAX) for a in ready_assets
|
||||
}
|
||||
|
||||
# Step 5: 多样性保障 — 时长分桶均衡选取
|
||||
def _effective(r: SmartMatchResult) -> float:
|
||||
return r.score + noise_by_asset.get(getattr(r.asset, "id", ""), 0.0)
|
||||
|
||||
scored.sort(key=_effective, reverse=True)
|
||||
|
||||
# Step 5: 多样性保障 — 时长分桶均衡选取(桶内同样按含噪声顺序)
|
||||
if limit and limit > 0 and len(scored) > limit:
|
||||
scored = _diversity_select(scored, limit)
|
||||
scored = _diversity_select(scored, limit, effective_key=_effective)
|
||||
elif limit and limit > 0:
|
||||
scored = scored[:limit]
|
||||
|
||||
return scored
|
||||
|
||||
|
||||
def _diversity_select(scored: list[SmartMatchResult], limit: int) -> list[SmartMatchResult]:
|
||||
def _diversity_select(
|
||||
scored: list[SmartMatchResult],
|
||||
limit: int,
|
||||
effective_key: Any | None = None,
|
||||
) -> list[SmartMatchResult]:
|
||||
"""从已排序的候选中按分桶均衡选取,避免全选中同一时长档。
|
||||
|
||||
策略:轮流从 short/medium/long 桶中按得分顺序取,直到凑满 limit。
|
||||
策略:轮流从 short/medium/long 桶中按顺序取,直到凑满 limit。
|
||||
scored 已按含噪声的有效得分排序,桶内直接继承该顺序;
|
||||
effective_key 给出时最终输出也按有效得分排序(同一次调用内噪声一致)。
|
||||
"""
|
||||
buckets: dict[str, list[SmartMatchResult]] = {
|
||||
"short": [],
|
||||
@@ -209,6 +230,6 @@ def _diversity_select(scored: list[SmartMatchResult], limit: int) -> list[SmartM
|
||||
if not added:
|
||||
break
|
||||
|
||||
# 按原始得分降序输出
|
||||
selected.sort(key=lambda r: r.score, reverse=True)
|
||||
# 按有效得分(含噪声)降序输出;未传 effective_key 时退回原始得分
|
||||
selected.sort(key=effective_key or (lambda r: r.score), reverse=True)
|
||||
return selected
|
||||
|
||||
@@ -0,0 +1,250 @@
|
||||
"""批量变体独立选片核心(#1743)。
|
||||
|
||||
总原则:多视频 = 单视频逻辑 × N。批量正式生成/批量预览时,变体 1..N-1
|
||||
不再"克隆源 plan 只重算起点"(那会导致同批素材、同顺序、同速度,成片同源),
|
||||
而是**完整重跑单视频的选片流程**:
|
||||
|
||||
1. 源 plan 片段骨架(clip_type/order/duration/text/transition)保持不变 —— 保留
|
||||
模板结构与用户编辑结果;
|
||||
2. 素材池上做完整随机重选:
|
||||
- 素材组合随机(shuffle 素材池 + smart_match 评分噪声由调用方排序决定);
|
||||
- main 片段之间随机洗牌顺序(片段顺序显著不同);
|
||||
- 起点走场景镜头洗牌 + 随机起点 + 历史已用区间避让
|
||||
(pick_scene_aware_start / _calc_random_start_time,与单视频同一入口);
|
||||
- 跨变体/跨任务避让:get_used_segments 读取素材 metadata 持久化的已用区间,
|
||||
record_used_segments 随新片段写回(同事务),N 个变体串行选片时天然互相避让;
|
||||
3. 批次内片段重叠检查:重选后与"本批次已选定片段"对比,同一 asset 时间区间
|
||||
重叠占比 > 阈值(默认 20%)则该片段重选起点,最多重试若干次。
|
||||
|
||||
本模块只产出 clips_data(dict 列表,供 EditPlanService.replace_all_clips_transactional
|
||||
落库),不碰 DB 事务边界;素材时长/场景点/已用区间由调用方注入,便于单测。
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import logging
|
||||
import random
|
||||
|
||||
from packages.domain.plan_generator_utils import _resolve_start_time
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# ── 阈值常量 ────────────────────────────────────────────────────────────────
|
||||
BATCH_CLIP_OVERLAP_LIMIT = 0.20
|
||||
"""批次内同一素材片段时间区间重叠占比上限(20%)。超过则重选起点。"""
|
||||
|
||||
VARIANT_RESELECT_MAX_ATTEMPTS = 6
|
||||
"""单片段重叠避让/起点重选的最大尝试次数。"""
|
||||
|
||||
MAIN_CLIP_TYPES = {"main"}
|
||||
"""参与素材洗牌重选的片段类型(intro/outro/overlay 等固定角色片段保持源 plan)。"""
|
||||
|
||||
|
||||
def _clip_overlap_ratio(
|
||||
asset_id: str,
|
||||
start: float,
|
||||
duration: float,
|
||||
batch_segments: dict[str, list[tuple[float, float]]],
|
||||
) -> float:
|
||||
"""计算新区间 [start, start+duration) 与批次内同素材已选区间的重叠占比。
|
||||
|
||||
返回重叠总时长 / 片段时长。
|
||||
"""
|
||||
if not asset_id or duration <= 0:
|
||||
return 0.0
|
||||
end = start + duration
|
||||
overlap = 0.0
|
||||
for seg_start, seg_end in batch_segments.get(asset_id, []):
|
||||
ov = max(0.0, min(end, seg_end) - max(start, seg_start))
|
||||
overlap += ov
|
||||
return min(1.0, overlap / duration)
|
||||
|
||||
|
||||
def reselect_clips_for_variant(
|
||||
source_clips: list[dict],
|
||||
candidate_asset_ids: list[str],
|
||||
*,
|
||||
asset_durations: dict[str, float],
|
||||
asset_scene_points: dict[str, list[float]] | None = None,
|
||||
historical_used_segments: dict[str, list[tuple[float, float]]] | None = None,
|
||||
batch_segments: dict[str, list[tuple[float, float]]] | None = None,
|
||||
rng: random.Random | None = None,
|
||||
) -> list[dict]:
|
||||
"""为一个变体基于源片段骨架重新独立选片。
|
||||
|
||||
Args:
|
||||
source_clips: 源 plan 片段(dict 列表,每项至少含
|
||||
order/asset_id/start_time/duration/clip_type,可含
|
||||
playback_speed/transition_effect/transition_duration/text_content)。
|
||||
candidate_asset_ids: 素材池(源 plan 素材 ∪ 批次任务素材),将被 shuffle
|
||||
后随机分配给 main 片段。
|
||||
asset_durations: {asset_id: 时长秒},起点避让/区间计算必需。
|
||||
asset_scene_points: {asset_id: 场景切换点},有则走镜头洗牌选起点。
|
||||
historical_used_segments: 素材 metadata 中持久化的历史已用区间
|
||||
(跨任务/跨变体避让),函数内会就地追加本变体选中的区间。
|
||||
batch_segments: 本批次已选片段区间(变体间避让 + 20% 重叠检查),
|
||||
函数内会就地追加本变体选中的区间。
|
||||
rng: 可选随机数生成器(测试可注入固定种子)。
|
||||
|
||||
Returns:
|
||||
clips_data: 与源片段等长、order 对齐的新片段 dict 列表。
|
||||
|
||||
Raises:
|
||||
ValueError: 源片段为空 / 素材池为空 / 素材时长全为 0(无法差异化选片)。
|
||||
"""
|
||||
rng = rng or random.Random()
|
||||
if not source_clips:
|
||||
raise ValueError("源 plan 无片段,无法为变体重新选片")
|
||||
if not candidate_asset_ids:
|
||||
raise ValueError("素材池为空,无法为变体独立选片(不允许退回同源成片)")
|
||||
|
||||
# 仅保留时长可知(>0)的素材;时长未知无法做区间避让/重叠计算
|
||||
usable_assets = [a for a in dict.fromkeys(candidate_asset_ids) if asset_durations.get(a, 0.0) > 0]
|
||||
if not usable_assets:
|
||||
raise ValueError("素材池时长全部未知(0),无法为变体独立选片")
|
||||
|
||||
# 历史已用区间:复制一份,本变体选中的区间就地追加(随 clip record 持久化由调用方负责)
|
||||
used_segments: dict[str, list[tuple[float, float]]] = (
|
||||
{k: list(v) for k, v in (historical_used_segments or {}).items()} if historical_used_segments else {}
|
||||
)
|
||||
batch_segments = batch_segments if batch_segments is not None else {}
|
||||
|
||||
# 按 order 排序源片段,保持骨架顺序
|
||||
ordered = sorted(source_clips, key=lambda c: c.get("order", 0))
|
||||
|
||||
# ── 1. 素材洗牌:素材池 shuffle(组合随机) ─────────────────────────────
|
||||
shuffled_pool = list(usable_assets)
|
||||
rng.shuffle(shuffled_pool)
|
||||
|
||||
# ── 2. main 片段之间洗牌顺序(顺序随机) ────────────────────────────────
|
||||
main_indexes = [i for i, c in enumerate(ordered) if c.get("clip_type", "main") in MAIN_CLIP_TYPES]
|
||||
rng.shuffle(main_indexes)
|
||||
|
||||
result: list[dict | None] = [None] * len(ordered)
|
||||
pool_cursor = 0
|
||||
|
||||
for idx in main_indexes:
|
||||
src = ordered[idx]
|
||||
dur = float(src.get("duration", 0.0) or 0.0)
|
||||
if dur <= 0:
|
||||
# 异常片段:原样保留
|
||||
result[idx] = _base_clip_data(
|
||||
src, asset_id=src.get("asset_id", ""), start=float(src.get("start_time", 0.0))
|
||||
)
|
||||
continue
|
||||
|
||||
# 轮询取洗牌后素材(素材数 < 片段数时循环复用,但组合/顺序已随机)
|
||||
asset_id = shuffled_pool[pool_cursor % len(shuffled_pool)]
|
||||
pool_cursor += 1
|
||||
total = asset_durations.get(asset_id, 0.0)
|
||||
eff_dur = min(dur, total) if total > 0 else dur
|
||||
|
||||
# ── 3. 起点重选(镜头洗牌/随机起点/历史避让)+ 批次重叠避让 ──────────
|
||||
start = _pick_start_with_overlap_avoid(
|
||||
asset_id=asset_id,
|
||||
clip_duration=eff_dur,
|
||||
asset_durations=asset_durations,
|
||||
used_segments=used_segments,
|
||||
asset_scene_points=asset_scene_points,
|
||||
batch_segments=batch_segments,
|
||||
rng=rng,
|
||||
)
|
||||
|
||||
interval = (start, start + eff_dur)
|
||||
used_segments.setdefault(asset_id, []).append(interval)
|
||||
batch_segments.setdefault(asset_id, []).append(interval)
|
||||
|
||||
result[idx] = _base_clip_data(src, asset_id=asset_id, start=start)
|
||||
|
||||
# ── 4. 非 main 片段(intro/outro/overlay 等固定角色):保留源素材,仅重算起点 ──
|
||||
for idx, c in enumerate(ordered):
|
||||
if result[idx] is not None:
|
||||
continue
|
||||
src = c
|
||||
aid = src.get("asset_id", "")
|
||||
dur = float(src.get("duration", 0.0) or 0.0)
|
||||
start = float(src.get("start_time", 0.0))
|
||||
total = asset_durations.get(aid, 0.0)
|
||||
if aid and dur > 0 and total > 0:
|
||||
eff_dur = min(dur, total)
|
||||
new_start = _pick_start_with_overlap_avoid(
|
||||
asset_id=aid,
|
||||
clip_duration=eff_dur,
|
||||
asset_durations=asset_durations,
|
||||
used_segments=used_segments,
|
||||
asset_scene_points=asset_scene_points,
|
||||
batch_segments=batch_segments,
|
||||
rng=rng,
|
||||
)
|
||||
start = new_start
|
||||
interval = (start, start + eff_dur)
|
||||
used_segments.setdefault(aid, []).append(interval)
|
||||
batch_segments.setdefault(aid, []).append(interval)
|
||||
result[idx] = _base_clip_data(src, asset_id=aid, start=start)
|
||||
|
||||
return [c for c in result if c is not None]
|
||||
|
||||
|
||||
def _pick_start_with_overlap_avoid(
|
||||
*,
|
||||
asset_id: str,
|
||||
clip_duration: float,
|
||||
asset_durations: dict[str, float],
|
||||
used_segments: dict[str, list[tuple[float, float]]],
|
||||
asset_scene_points: dict[str, list[float]] | None,
|
||||
batch_segments: dict[str, list[tuple[float, float]]],
|
||||
rng: random.Random,
|
||||
) -> float:
|
||||
"""选起点:优先单视频同一入口(镜头洗牌/随机/历史避让),再叠加批次 20% 重叠避让。
|
||||
|
||||
批次内重叠超阈值时在素材可用范围内随机抖动重选,最多 VARIANT_RESELECT_MAX_ATTEMPTS 次;
|
||||
仍超阈值则返回最后一次结果(素材极少时的尽力而为,不阻塞生成)。
|
||||
"""
|
||||
total = asset_durations.get(asset_id, 0.0)
|
||||
max_start = max(0.0, total - clip_duration)
|
||||
|
||||
candidate = _resolve_start_time(
|
||||
asset_id,
|
||||
clip_duration,
|
||||
asset_durations,
|
||||
used_segments,
|
||||
asset_scene_points,
|
||||
)
|
||||
if candidate is None:
|
||||
candidate = rng.uniform(0.0, max_start) if max_start > 0 else 0.0
|
||||
|
||||
best_start = candidate
|
||||
best_ratio = _clip_overlap_ratio(asset_id, candidate, clip_duration, batch_segments)
|
||||
if best_ratio <= BATCH_CLIP_OVERLAP_LIMIT:
|
||||
return candidate
|
||||
|
||||
# 重叠超阈值:在可用范围内随机重试
|
||||
for _ in range(VARIANT_RESELECT_MAX_ATTEMPTS):
|
||||
alt = rng.uniform(0.0, max_start) if max_start > 0 else 0.0
|
||||
ratio = _clip_overlap_ratio(asset_id, alt, clip_duration, batch_segments)
|
||||
if ratio < best_ratio:
|
||||
best_start, best_ratio = alt, ratio
|
||||
if ratio <= BATCH_CLIP_OVERLAP_LIMIT:
|
||||
return alt
|
||||
logger.info(
|
||||
"变体选片批次重叠避让达上限,采用最优起点: asset=%s overlap_ratio=%.2f",
|
||||
asset_id,
|
||||
best_ratio,
|
||||
)
|
||||
return best_start
|
||||
|
||||
|
||||
def _base_clip_data(src: dict, *, asset_id: str, start: float) -> dict:
|
||||
"""从源片段构造落库 dict(保留骨架/转场/文案/速度,替换素材与起点)。"""
|
||||
return {
|
||||
"order": src.get("order", 0),
|
||||
"asset_id": asset_id,
|
||||
"start_time": round(float(start), 3),
|
||||
"duration": float(src.get("duration", 0.0) or 0.0),
|
||||
"clip_type": src.get("clip_type", "main"),
|
||||
"playback_speed": float(src.get("playback_speed", 1.0) or 1.0),
|
||||
"transition_effect": src.get("transition_effect", "cut"),
|
||||
"transition_duration": float(src.get("transition_duration", 0.0) or 0.0),
|
||||
"text_content": src.get("text_content", ""),
|
||||
"config": src.get("config") or {},
|
||||
}
|
||||
@@ -347,8 +347,9 @@ class TestCreateGenerationTask:
|
||||
assert mock_celery.send_task.call_args[0][0] == "worker.generate_video"
|
||||
|
||||
@patch("app.core.task_enqueue.celery_app")
|
||||
def test_create_batch_tasks(self, mock_celery, client):
|
||||
"""批量创建多个生成任务。"""
|
||||
def test_create_batch_tasks_without_plan_rejected(self, mock_celery, client):
|
||||
"""#1743:批量 count=3 但无剪辑计划(未传 source_edit_plan_id 且模板兜底无 plan)
|
||||
→ 400 中断,严禁 N 任务兜底共用同一 plan 产出同源成片。"""
|
||||
mock_celery.send_task = MagicMock()
|
||||
|
||||
resp = client.post(
|
||||
@@ -361,17 +362,44 @@ class TestCreateGenerationTask:
|
||||
"count": 3,
|
||||
},
|
||||
)
|
||||
assert resp.status_code == 200
|
||||
assert resp.status_code == 400
|
||||
assert "预览" in resp.json()["detail"] or "剪辑计划" in resp.json()["detail"]
|
||||
mock_celery.send_task.assert_not_called()
|
||||
|
||||
@patch("app.core.task_enqueue.celery_app")
|
||||
def test_create_batch_tasks_with_independent_variant_plans(self, mock_celery, client):
|
||||
"""#1743:批量 count=3 且有源 plan → 变体 0 用源 plan,变体 1/2 各自 reselect
|
||||
独立选片,3 个任务关联 3 个不同 plan。"""
|
||||
mock_celery.send_task = MagicMock()
|
||||
|
||||
with patch("app.services.edit_plan_service.EditPlanService") as MockPlanSvc:
|
||||
MockPlanSvc.return_value.reselect_plan_for_variant.side_effect = [
|
||||
MagicMock(id="variant-plan-1"),
|
||||
MagicMock(id="variant-plan-2"),
|
||||
]
|
||||
resp = client.post(
|
||||
"/api/v1/generation/tasks",
|
||||
json={
|
||||
"project_id": "proj-1",
|
||||
"asset_library_id": "lib-1",
|
||||
"strategy_id": "strategy-default",
|
||||
"voice_library_id": "voice-lib-1",
|
||||
"source_edit_plan_id": "source-plan-1",
|
||||
"count": 3,
|
||||
},
|
||||
)
|
||||
assert resp.status_code == 200, resp.text
|
||||
data = resp.json()
|
||||
assert len(data["items"]) == 3
|
||||
assert data["total"] == 3
|
||||
# 验证所有任务都有不同的 ID
|
||||
task_ids = [t["id"] for t in data["items"]]
|
||||
assert len(set(task_ids)) == 3
|
||||
# 同一批次应有相同的 batch_id
|
||||
# 同一批次 batch_id 相同
|
||||
batch_ids = [t["batch_id"] for t in data["items"] if t["batch_id"]]
|
||||
assert len(batch_ids) == 3
|
||||
assert len(set(batch_ids)) == 1
|
||||
# 变体 1/2 各自独立选片
|
||||
assert MockPlanSvc.return_value.reselect_plan_for_variant.call_count == 2
|
||||
|
||||
def test_create_task_project_not_found(self, client):
|
||||
"""项目不存在返回 404。"""
|
||||
|
||||
@@ -189,30 +189,32 @@ class TestBatchPreviewRoute:
|
||||
for i, item in enumerate(resp.items):
|
||||
assert item.variant_index == i
|
||||
|
||||
def test_preview_count_3_clones_three_variant_plans(self):
|
||||
"""有源 plan 时,N=3 克隆 3 个独立变体 plan(预览全部克隆,不用源 plan)"""
|
||||
def test_preview_count_3_reselects_independent_variant_plans(self):
|
||||
"""#1743:有源 plan 时 N=3,变体0保留源 plan,变体1/2 各自独立选片(reselect)。"""
|
||||
from app.api.routes.generation_preview import create_preview_generation_task
|
||||
|
||||
tasks = [_make_task(task_id=f"task_{i}", source_plan_id="source_plan") for i in range(3)]
|
||||
repo = _repo_mock()
|
||||
cloned_plan_ids = ["clone_1", "clone_2", "clone_3"]
|
||||
reselect_plan_ids = ["reselect_1", "reselect_2"]
|
||||
with patch("app.api.routes.generation_preview.CreateGenerationTaskUseCase") as MockUC:
|
||||
MockUC.return_value.execute.side_effect = tasks
|
||||
with patch("app.api.routes.generation_preview.safe_enqueue_generation_task", return_value=True):
|
||||
with patch("app.services.edit_plan_service.EditPlanService") as MockPlanSvc:
|
||||
clone_results = [MagicMock(id=pid) for pid in cloned_plan_ids]
|
||||
MockPlanSvc.return_value.clone_plan_for_variant.side_effect = clone_results
|
||||
reselect_results = [MagicMock(id=pid) for pid in reselect_plan_ids]
|
||||
MockPlanSvc.return_value.reselect_plan_for_variant.side_effect = reselect_results
|
||||
create_preview_generation_task(
|
||||
_make_preview_request(preview_count=3),
|
||||
authenticated_user=_make_user(),
|
||||
generation_task_repository=repo,
|
||||
db=MagicMock(),
|
||||
)
|
||||
# 克隆被调用 3 次
|
||||
assert MockPlanSvc.return_value.clone_plan_for_variant.call_count == 3
|
||||
# 每个任务关联到不同的克隆 plan
|
||||
for i, task in enumerate(tasks):
|
||||
assert task.source_edit_plan_id == cloned_plan_ids[i]
|
||||
# 变体 1..N-1 各独立选片一次(共 2 次);count>1 不再走 clone
|
||||
assert MockPlanSvc.return_value.reselect_plan_for_variant.call_count == 2
|
||||
MockPlanSvc.return_value.clone_plan_for_variant.assert_not_called()
|
||||
# 变体0保留源 plan;变体1/2 关联各自独立选出的 plan
|
||||
assert tasks[0].source_edit_plan_id == "source_plan"
|
||||
assert tasks[1].source_edit_plan_id == "reselect_1"
|
||||
assert tasks[2].source_edit_plan_id == "reselect_2"
|
||||
|
||||
def test_preview_variant_titles_injected_per_variant(self):
|
||||
"""titles[] 按变体注入 title_config.text"""
|
||||
@@ -335,8 +337,8 @@ class TestBatchPreviewRoute:
|
||||
)
|
||||
assert exc.value.status_code == 429
|
||||
|
||||
def test_preview_clone_failure_marks_all_failed(self):
|
||||
"""克隆变体 plan 失败 → 已创建任务全部标记 failed 并 500"""
|
||||
def test_preview_reselect_failure_marks_all_failed(self):
|
||||
"""#1743:变体独立选片(reselect)重试仍失败 → 已创建任务全部标记 failed 并 500"""
|
||||
from app.api.routes.generation_preview import create_preview_generation_task
|
||||
from fastapi import HTTPException
|
||||
|
||||
@@ -345,7 +347,7 @@ class TestBatchPreviewRoute:
|
||||
with patch("app.api.routes.generation_preview.CreateGenerationTaskUseCase") as MockUC:
|
||||
MockUC.return_value.execute.side_effect = tasks
|
||||
with patch("app.services.edit_plan_service.EditPlanService") as MockPlanSvc:
|
||||
MockPlanSvc.return_value.clone_plan_for_variant.side_effect = RuntimeError("db down")
|
||||
MockPlanSvc.return_value.reselect_plan_for_variant.side_effect = RuntimeError("db down")
|
||||
with pytest.raises(HTTPException) as exc:
|
||||
create_preview_generation_task(
|
||||
_make_preview_request(preview_count=3),
|
||||
@@ -357,6 +359,73 @@ class TestBatchPreviewRoute:
|
||||
# 所有已创建任务都被标记 failed
|
||||
assert all(t.status == GenerationTaskStatus.FAILED for t in tasks)
|
||||
|
||||
def test_preview_reselect_value_error_returns_400(self):
|
||||
"""#1743:预览 count>1 reselect 素材不足(ValueError)→ 400,已建任务标 failed。"""
|
||||
from app.api.routes.generation_preview import create_preview_generation_task
|
||||
from fastapi import HTTPException
|
||||
|
||||
tasks = [_make_task(task_id=f"task_{i}", source_plan_id="source_plan") for i in range(3)]
|
||||
repo = _repo_mock()
|
||||
with patch("app.api.routes.generation_preview.CreateGenerationTaskUseCase") as MockUC:
|
||||
MockUC.return_value.execute.side_effect = tasks
|
||||
with patch("app.api.routes.generation_preview.safe_enqueue_generation_task", return_value=True):
|
||||
with patch("app.services.edit_plan_service.EditPlanService") as MockPlanSvc:
|
||||
MockPlanSvc.return_value.reselect_plan_for_variant.side_effect = ValueError("素材池为空")
|
||||
with pytest.raises(HTTPException) as exc:
|
||||
create_preview_generation_task(
|
||||
_make_preview_request(preview_count=3),
|
||||
authenticated_user=_make_user(),
|
||||
generation_task_repository=repo,
|
||||
db=MagicMock(),
|
||||
)
|
||||
assert exc.value.status_code == 400
|
||||
assert "无法独立选片" in exc.value.detail
|
||||
assert all(t.status == GenerationTaskStatus.FAILED for t in tasks)
|
||||
|
||||
def test_preview_reselect_retry_exhausted_returns_500(self):
|
||||
"""#1743:预览 count>1 reselect 连续失败(非 ValueError)→ 500,已建任务标 failed。"""
|
||||
from app.api.routes.generation_preview import create_preview_generation_task
|
||||
from fastapi import HTTPException
|
||||
|
||||
tasks = [_make_task(task_id=f"task_{i}", source_plan_id="source_plan") for i in range(3)]
|
||||
repo = _repo_mock()
|
||||
with patch("app.api.routes.generation_preview.CreateGenerationTaskUseCase") as MockUC:
|
||||
MockUC.return_value.execute.side_effect = tasks
|
||||
with patch("app.api.routes.generation_preview.safe_enqueue_generation_task", return_value=True):
|
||||
with patch("app.services.edit_plan_service.EditPlanService") as MockPlanSvc:
|
||||
MockPlanSvc.return_value.reselect_plan_for_variant.side_effect = RuntimeError("db down")
|
||||
with pytest.raises(HTTPException) as exc:
|
||||
create_preview_generation_task(
|
||||
_make_preview_request(preview_count=3),
|
||||
authenticated_user=_make_user(),
|
||||
generation_task_repository=repo,
|
||||
db=MagicMock(),
|
||||
)
|
||||
assert exc.value.status_code == 500
|
||||
assert all(t.status == GenerationTaskStatus.FAILED for t in tasks)
|
||||
|
||||
def test_preview_count1_with_source_plan_clones(self):
|
||||
"""#1743 零回归:预览 count=1 且有源 plan 仍走 clone(不 reselect)。"""
|
||||
from app.api.routes.generation_preview import create_preview_generation_task
|
||||
|
||||
task = _make_task(task_id="task_1", source_plan_id="source_plan")
|
||||
repo = _repo_mock()
|
||||
with patch("app.api.routes.generation_preview.CreateGenerationTaskUseCase") as MockUC:
|
||||
MockUC.return_value.execute.return_value = task
|
||||
with patch("app.api.routes.generation_preview.safe_enqueue_generation_task", return_value=True):
|
||||
with patch("app.services.edit_plan_service.EditPlanService") as MockPlanSvc:
|
||||
MockPlanSvc.return_value.clone_plan_for_variant.return_value = MagicMock(id="clone_1")
|
||||
resp = create_preview_generation_task(
|
||||
_make_preview_request(preview_count=1),
|
||||
authenticated_user=_make_user(),
|
||||
generation_task_repository=repo,
|
||||
db=MagicMock(),
|
||||
)
|
||||
assert resp.total == 1
|
||||
MockPlanSvc.return_value.clone_plan_for_variant.assert_called_once()
|
||||
MockPlanSvc.return_value.reselect_plan_for_variant.assert_not_called()
|
||||
assert task.source_edit_plan_id == "clone_1"
|
||||
|
||||
|
||||
# ════════════════════════════════════════════════════════════════════════════
|
||||
# 批量正式生成:变体配置注入
|
||||
@@ -366,7 +435,7 @@ class TestBatchPreviewRoute:
|
||||
class TestBatchGenerationVariantConfig:
|
||||
"""POST /tasks count=N 时变体独立配置。"""
|
||||
|
||||
def _call_create_tasks(self, request, repo=None):
|
||||
def _call_create_tasks(self, request, repo=None, db_latest_plan=None):
|
||||
from app.api.routes.generation_tasks import create_generation_task
|
||||
|
||||
repo = repo or MagicMock()
|
||||
@@ -379,9 +448,9 @@ class TestBatchGenerationVariantConfig:
|
||||
asset_repo = MagicMock()
|
||||
asset_repo.find_by_id.return_value = None
|
||||
|
||||
# db.query().filter()...first() 返回 None:不走兜底关联编辑计划
|
||||
# db.query().filter()...first():db_latest_plan 非空时模拟模板兜底查到最新 plan
|
||||
db = MagicMock()
|
||||
db.query.return_value.filter.return_value.order_by.return_value.first.return_value = None
|
||||
db.query.return_value.filter.return_value.order_by.return_value.first.return_value = db_latest_plan
|
||||
|
||||
return create_generation_task(
|
||||
request,
|
||||
@@ -407,20 +476,29 @@ class TestBatchGenerationVariantConfig:
|
||||
t.title_config = cmd.title_config
|
||||
t.voice_library_id = cmd.voice_library_id
|
||||
t.cover_url = cmd.cover_url
|
||||
t.source_edit_plan_id = cmd.source_edit_plan_id # #1743:usecase 落库关联 plan
|
||||
return t
|
||||
|
||||
MockUC.return_value.execute.side_effect = _execute
|
||||
with patch.object(routes, "safe_enqueue_generation_task", return_value=True):
|
||||
req = CreateGenerationTaskRequest(
|
||||
template_id="tpl_1",
|
||||
asset_ids=["a1"],
|
||||
count=3,
|
||||
title_config={"font": "宋体"},
|
||||
titles=["成片标题1", "成片标题2", "成片标题3"],
|
||||
voice_library_ids=["v1", "v2", "v3"],
|
||||
cover_urls=["http://c1", "http://c2", "http://c3"],
|
||||
)
|
||||
resp = self._call_create_tasks(req)
|
||||
# #1743:count>1 必须有源 plan,变体 1..N-1 走 reselect 独立选片
|
||||
with patch("app.services.edit_plan_service.EditPlanService") as MockPlanSvc:
|
||||
MockPlanSvc.return_value.reselect_plan_for_variant.side_effect = [
|
||||
MagicMock(id="reselect_1"),
|
||||
MagicMock(id="reselect_2"),
|
||||
]
|
||||
req = CreateGenerationTaskRequest(
|
||||
template_id="tpl_1",
|
||||
asset_ids=["a1"],
|
||||
count=3,
|
||||
source_edit_plan_id="source_plan",
|
||||
title_config={"font": "宋体"},
|
||||
titles=["成片标题1", "成片标题2", "成片标题3"],
|
||||
voice_library_ids=["v1", "v2", "v3"],
|
||||
cover_urls=["http://c1", "http://c2", "http://c3"],
|
||||
)
|
||||
resp = self._call_create_tasks(req)
|
||||
assert MockPlanSvc.return_value.reselect_plan_for_variant.call_count == 2
|
||||
assert resp.total == 3
|
||||
assert [c.title_config["text"] for c in captured] == ["成片标题1", "成片标题2", "成片标题3"]
|
||||
assert [c.voice_library_id for c in captured] == ["v1", "v2", "v3"]
|
||||
@@ -467,21 +545,124 @@ class TestBatchGenerationVariantConfig:
|
||||
|
||||
def _execute(cmd):
|
||||
captured.append(cmd)
|
||||
return tasks[len(captured) - 1]
|
||||
t = tasks[len(captured) - 1]
|
||||
t.source_edit_plan_id = cmd.source_edit_plan_id # #1743:usecase 落库关联 plan
|
||||
return t
|
||||
|
||||
MockUC.return_value.execute.side_effect = _execute
|
||||
with patch.object(routes, "safe_enqueue_generation_task", return_value=True):
|
||||
req = CreateGenerationTaskRequest(
|
||||
template_id="tpl_1",
|
||||
asset_ids=["a1"],
|
||||
count=3,
|
||||
voice_library_ids=["shared_voice"],
|
||||
cover_urls=["http://shared"],
|
||||
)
|
||||
self._call_create_tasks(req)
|
||||
# #1743:count>1 必须有源 plan,变体 1..N-1 走 reselect 独立选片
|
||||
with patch("app.services.edit_plan_service.EditPlanService") as MockPlanSvc:
|
||||
MockPlanSvc.return_value.reselect_plan_for_variant.side_effect = [
|
||||
MagicMock(id="reselect_1"),
|
||||
MagicMock(id="reselect_2"),
|
||||
]
|
||||
req = CreateGenerationTaskRequest(
|
||||
template_id="tpl_1",
|
||||
asset_ids=["a1"],
|
||||
count=3,
|
||||
source_edit_plan_id="source_plan",
|
||||
voice_library_ids=["shared_voice"],
|
||||
cover_urls=["http://shared"],
|
||||
)
|
||||
self._call_create_tasks(req)
|
||||
assert MockPlanSvc.return_value.reselect_plan_for_variant.call_count == 2
|
||||
assert all(c.voice_library_id == "shared_voice" for c in captured)
|
||||
assert all(c.cover_url == "http://shared" for c in captured)
|
||||
|
||||
def test_count3_template_fallback_plan_used(self):
|
||||
"""#1743:未传 source_edit_plan_id 时,模板兜底查到最新 plan 即作为批量源 plan。"""
|
||||
from app.api.routes import generation_tasks as routes
|
||||
|
||||
tasks = [_make_task(task_id=f"gen_fb_{i}") for i in range(3)]
|
||||
|
||||
def _execute(cmd):
|
||||
t = tasks[len([c for c in getattr(_execute, "caps", [])])]
|
||||
t.source_edit_plan_id = cmd.source_edit_plan_id
|
||||
_execute.caps.append(cmd)
|
||||
return t
|
||||
|
||||
_execute.caps = []
|
||||
|
||||
latest = MagicMock(id="fallback_plan_id")
|
||||
req = CreateGenerationTaskRequest(template_id="tpl_1", asset_ids=["a1"], count=3)
|
||||
|
||||
with patch.object(routes, "CreateGenerationTaskUseCase") as MockUC:
|
||||
MockUC.return_value.execute.side_effect = _execute
|
||||
with patch.object(routes, "safe_enqueue_generation_task", return_value=True):
|
||||
with patch("app.services.edit_plan_service.EditPlanService") as MockPlanSvc:
|
||||
MockPlanSvc.return_value.reselect_plan_for_variant.side_effect = [
|
||||
MagicMock(id="reselect_1"),
|
||||
MagicMock(id="reselect_2"),
|
||||
]
|
||||
self._call_create_tasks(req, db_latest_plan=latest)
|
||||
|
||||
# 兜底 plan 被用作源;变体0关联兜底 plan,变体1/2关联 reselect plan
|
||||
assert _execute.caps[0].source_edit_plan_id == "fallback_plan_id"
|
||||
assert _execute.caps[1].source_edit_plan_id == "reselect_1"
|
||||
assert _execute.caps[2].source_edit_plan_id == "reselect_2"
|
||||
|
||||
def test_count3_reselect_value_error_returns_400(self):
|
||||
"""#1743:reselect 素材不足(ValueError)→ 400 明确报错,零任务入队。"""
|
||||
from app.api.routes import generation_tasks as routes
|
||||
from fastapi import HTTPException
|
||||
|
||||
enqueue = MagicMock(return_value=True)
|
||||
req = CreateGenerationTaskRequest(
|
||||
template_id="tpl_1", asset_ids=["a1"], count=3, source_edit_plan_id="source_plan"
|
||||
)
|
||||
with patch.object(routes, "CreateGenerationTaskUseCase") as MockUC:
|
||||
MockUC.return_value.execute.side_effect = lambda cmd: _make_task(task_id="should_not_run")
|
||||
with patch.object(routes, "safe_enqueue_generation_task", enqueue):
|
||||
with patch("app.services.edit_plan_service.EditPlanService") as MockPlanSvc:
|
||||
MockPlanSvc.return_value.reselect_plan_for_variant.side_effect = ValueError("素材池为空")
|
||||
with pytest.raises(HTTPException) as exc:
|
||||
self._call_create_tasks(req)
|
||||
assert exc.value.status_code == 400
|
||||
assert "无法独立选片" in exc.value.detail
|
||||
enqueue.assert_not_called()
|
||||
|
||||
def test_count3_reselect_retry_exhausted_returns_500(self):
|
||||
"""#1743:reselect 连续 2 次都非 ValueError 失败 → 500,零任务入队。"""
|
||||
from app.api.routes import generation_tasks as routes
|
||||
from fastapi import HTTPException
|
||||
|
||||
enqueue = MagicMock(return_value=True)
|
||||
req = CreateGenerationTaskRequest(
|
||||
template_id="tpl_1", asset_ids=["a1"], count=3, source_edit_plan_id="source_plan"
|
||||
)
|
||||
with patch.object(routes, "CreateGenerationTaskUseCase") as MockUC:
|
||||
MockUC.return_value.execute.side_effect = lambda cmd: _make_task(task_id="should_not_run")
|
||||
with patch.object(routes, "safe_enqueue_generation_task", enqueue):
|
||||
with patch("app.services.edit_plan_service.EditPlanService") as MockPlanSvc:
|
||||
MockPlanSvc.return_value.reselect_plan_for_variant.side_effect = RuntimeError("db down")
|
||||
with pytest.raises(HTTPException) as exc:
|
||||
self._call_create_tasks(req)
|
||||
assert exc.value.status_code == 500
|
||||
enqueue.assert_not_called()
|
||||
|
||||
def test_count3_missing_plan_after_prebuild_raises_500(self):
|
||||
"""#1743 兜底守卫:任务落库时 plan 丢失(usecase 未透传)→ 500,严禁静默共用。"""
|
||||
from app.api.routes import generation_tasks as routes
|
||||
from fastapi import HTTPException
|
||||
|
||||
req = CreateGenerationTaskRequest(
|
||||
template_id="tpl_1", asset_ids=["a1"], count=3, source_edit_plan_id="source_plan"
|
||||
)
|
||||
with patch.object(routes, "CreateGenerationTaskUseCase") as MockUC:
|
||||
# usecase 返回的任务 source_edit_plan_id 为空(模拟落库丢 plan)
|
||||
MockUC.return_value.execute.side_effect = lambda cmd: _make_task(task_id="lost_plan")
|
||||
with patch.object(routes, "safe_enqueue_generation_task", return_value=True):
|
||||
with patch("app.services.edit_plan_service.EditPlanService") as MockPlanSvc:
|
||||
MockPlanSvc.return_value.reselect_plan_for_variant.side_effect = [
|
||||
MagicMock(id="reselect_1"),
|
||||
MagicMock(id="reselect_2"),
|
||||
]
|
||||
with pytest.raises(HTTPException) as exc:
|
||||
self._call_create_tasks(req)
|
||||
assert exc.value.status_code == 500
|
||||
assert "变体剪辑计划缺失" in exc.value.detail
|
||||
|
||||
|
||||
class TestVariantValueHelper:
|
||||
"""_variant_value 取值逻辑。"""
|
||||
|
||||
@@ -420,8 +420,9 @@ class TestSmartMatchFlatStructure:
|
||||
"""item.id 直接在顶层可读,不存在 item.asset 包装层。"""
|
||||
assets = [_fresh_asset("a-flat-1"), _fresh_asset("a-flat-2")]
|
||||
resp = TestSmartMatchFiltersExhausted()._call(assets)
|
||||
ids = [item.id for item in resp.items]
|
||||
assert ids == ["a-flat-1", "a-flat-2"]
|
||||
ids = {item.id for item in resp.items}
|
||||
# 同分素材排序含随机噪声(#1743),只断言集合不断言顺序
|
||||
assert ids == {"a-flat-1", "a-flat-2"}
|
||||
# 嵌套 asset 字段已移除
|
||||
assert all(not hasattr(item, "asset") for item in resp.items)
|
||||
|
||||
|
||||
@@ -12,6 +12,7 @@
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import random
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
@@ -19,6 +20,20 @@ sys.path.insert(0, str(Path(__file__).resolve().parents[2] / "apps" / "api"))
|
||||
|
||||
from app.api.routes.generation_tasks import _select_assets_from_library
|
||||
|
||||
from packages.domain.smart_match import SCORE_RANDOM_NOISE_MAX
|
||||
|
||||
|
||||
class _ZeroNoiseRandom(random.Random):
|
||||
"""零噪声随机源:uniform(0, NOISE_MAX) 恒返回 0,smart 排序确定可复现。"""
|
||||
|
||||
def uniform(self, a, b):
|
||||
if a == 0.0 and b == SCORE_RANDOM_NOISE_MAX:
|
||||
return 0.0
|
||||
return super().uniform(a, b)
|
||||
|
||||
|
||||
_ZERO_NOISE = _ZeroNoiseRandom(0)
|
||||
|
||||
from packages.domain import Asset, AssetStatus
|
||||
|
||||
|
||||
@@ -106,7 +121,7 @@ class TestSelectAssetsSmartMode:
|
||||
_asset("high", "high.mp4", quality_score=90),
|
||||
_asset("mid", "mid.mp4", quality_score=60),
|
||||
]
|
||||
result = _select_assets_from_library(assets, mode="smart", count=0)
|
||||
result = _select_assets_from_library(assets, mode="smart", count=0, rng=_ZERO_NOISE)
|
||||
assert result == ["high", "mid", "low"]
|
||||
|
||||
def test_smart_duration_optimal_beats_too_short(self):
|
||||
@@ -115,7 +130,7 @@ class TestSelectAssetsSmartMode:
|
||||
_asset("too_short", "short.mp4", quality_score=80, duration=1.0),
|
||||
_asset("optimal", "optimal.mp4", quality_score=80, duration=15.0),
|
||||
]
|
||||
result = _select_assets_from_library(assets, mode="smart", count=0)
|
||||
result = _select_assets_from_library(assets, mode="smart", count=0, rng=_ZERO_NOISE)
|
||||
# Both: quality=80*0.4=32, recency/unused equal
|
||||
# optimal(15s): duration_fitness=30 → total=62+
|
||||
# too_short(1s): duration_fitness=20+(1/5)*80=36 → 36*0.3=10.8 → total=42.8+
|
||||
@@ -127,7 +142,7 @@ class TestSelectAssetsSmartMode:
|
||||
_asset("a2", "v2.mp4", quality_score=70),
|
||||
_asset("a3", "v3.mp4", quality_score=50),
|
||||
]
|
||||
result = _select_assets_from_library(assets, mode="smart", count=2)
|
||||
result = _select_assets_from_library(assets, mode="smart", count=2, rng=_ZERO_NOISE)
|
||||
assert result == ["a1", "a2"]
|
||||
|
||||
def test_smart_null_quality_treated_as_default(self):
|
||||
@@ -136,7 +151,7 @@ class TestSelectAssetsSmartMode:
|
||||
_asset("scored", "scored.mp4", quality_score=80),
|
||||
_asset("unscored", "unscored.mp4", quality_score=None),
|
||||
]
|
||||
result = _select_assets_from_library(assets, mode="smart", count=0)
|
||||
result = _select_assets_from_library(assets, mode="smart", count=0, rng=_ZERO_NOISE)
|
||||
# scored(80): quality=80*0.4=32; unscored(None→50): quality=50*0.4=20
|
||||
assert result == ["scored", "unscored"]
|
||||
|
||||
@@ -146,7 +161,7 @@ class TestSelectAssetsSmartMode:
|
||||
_asset("a2", "v2.mp4", quality_score=90),
|
||||
_asset("a3", "v3.mp4", quality_score=50),
|
||||
]
|
||||
result = _select_assets_from_library(assets, mode="smart", count=0)
|
||||
result = _select_assets_from_library(assets, mode="smart", count=0, rng=_ZERO_NOISE)
|
||||
assert result == ["a2", "a3", "a1"]
|
||||
|
||||
|
||||
|
||||
@@ -0,0 +1,194 @@
|
||||
"""#1743 素材使用次数回写测试。
|
||||
|
||||
计数口径修复:
|
||||
- mark_asset_used_for_generation 支持 times 参数,按成片实际片段引用次数累加
|
||||
- _count_plan_clip_asset_usage 从最终成片 plan 的 clips 统计 {asset_id: 片段引用次数}
|
||||
- _record_rendered_asset_usage 回写 metadata:plan clips 为准、空 plan 兜底任务 asset_ids、
|
||||
未被 plan 选用的素材不计数、单素材失败不影响其他素材
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import sys
|
||||
from pathlib import Path
|
||||
from unittest.mock import MagicMock
|
||||
|
||||
REPO_ROOT = Path(__file__).resolve().parents[2]
|
||||
for sub in ("apps/worker", "apps/api", "packages", ""):
|
||||
p = str(REPO_ROOT / sub) if sub else str(REPO_ROOT)
|
||||
if p not in sys.path:
|
||||
sys.path.insert(0, p)
|
||||
|
||||
import worker_app.tasks.generation as gen_mod # noqa: E402
|
||||
from worker_app.core.asset_usage import mark_asset_used_for_generation # noqa: E402
|
||||
|
||||
|
||||
class FakeAsset:
|
||||
def __init__(self, aid: str, metadata: dict | None = None):
|
||||
self.id = aid
|
||||
self.metadata = metadata or {}
|
||||
|
||||
|
||||
# ── mark_asset_used_for_generation ──────────────────────────────────────────
|
||||
|
||||
|
||||
class TestMarkAssetUsed:
|
||||
def test_default_times_is_one(self):
|
||||
a = FakeAsset("a1", metadata={})
|
||||
mark_asset_used_for_generation(a)
|
||||
assert a.metadata["generation_use_count"] == 1
|
||||
assert "last_used_at" in a.metadata
|
||||
|
||||
def test_times_accumulates_by_clip_count(self):
|
||||
"""同一素材被 3 个片段引用 → 一次回写 +3。"""
|
||||
a = FakeAsset("a1", metadata={"generation_use_count": 2})
|
||||
mark_asset_used_for_generation(a, times=3)
|
||||
assert a.metadata["generation_use_count"] == 5
|
||||
|
||||
def test_times_zero_or_negative_floored_to_one(self):
|
||||
a = FakeAsset("a1", metadata={})
|
||||
mark_asset_used_for_generation(a, times=0)
|
||||
assert a.metadata["generation_use_count"] == 1
|
||||
|
||||
def test_preserves_existing_metadata(self):
|
||||
a = FakeAsset("a1", metadata={"tags": ["travel"], "generation_use_count": 4})
|
||||
mark_asset_used_for_generation(a, times=2)
|
||||
assert a.metadata["tags"] == ["travel"]
|
||||
assert a.metadata["generation_use_count"] == 6
|
||||
|
||||
|
||||
# ── _count_plan_clip_asset_usage ────────────────────────────────────────────
|
||||
|
||||
|
||||
def _mock_session_with_clips(clip_asset_ids: list[str]):
|
||||
"""构造 mock session:query(EditPlanClipModel).filter().all() 返回片段 asset_id 行。"""
|
||||
rows = [(aid,) for aid in clip_asset_ids]
|
||||
session = MagicMock()
|
||||
session.query.return_value.filter.return_value.all.return_value = rows
|
||||
return session
|
||||
|
||||
|
||||
class TestCountPlanClipUsage:
|
||||
def test_counts_asset_occurrences_across_clips(self):
|
||||
"""plan clips 中 asset-x 出现 2 次、asset-y 1 次 → {x:2, y:1}。"""
|
||||
session = _mock_session_with_clips(["asset-x", "asset-y", "asset-x", ""])
|
||||
with _patch_clip_model():
|
||||
counts = gen_mod._count_plan_clip_asset_usage(session, "plan-1")
|
||||
assert counts == {"asset-x": 2, "asset-y": 1}
|
||||
|
||||
def test_empty_clips_returns_empty(self):
|
||||
session = _mock_session_with_clips([])
|
||||
with _patch_clip_model():
|
||||
counts = gen_mod._count_plan_clip_asset_usage(session, "plan-9")
|
||||
assert counts == {}
|
||||
|
||||
def test_blank_asset_ids_skipped(self):
|
||||
session = _mock_session_with_clips(["", None, "asset-z"])
|
||||
with _patch_clip_model():
|
||||
counts = gen_mod._count_plan_clip_asset_usage(session, "plan-1")
|
||||
assert counts == {"asset-z": 1}
|
||||
|
||||
|
||||
class _patch_clip_model:
|
||||
"""patch generation 模块内 EditPlanClipModel 的导入路径(函数内 import)。"""
|
||||
|
||||
def __enter__(self):
|
||||
import unittest.mock as mock
|
||||
|
||||
self._patches = [
|
||||
mock.patch("packages.adapters.sqlalchemy_impl.models.EditPlanClipModel", MagicMock()),
|
||||
]
|
||||
for p in self._patches:
|
||||
p.start()
|
||||
return self
|
||||
|
||||
def __exit__(self, *exc):
|
||||
for p in self._patches:
|
||||
p.stop()
|
||||
return False
|
||||
|
||||
|
||||
# ── _record_rendered_asset_usage ────────────────────────────────────────────
|
||||
|
||||
|
||||
class TestRecordRenderedAssetUsage:
|
||||
def _run(self, clip_ids, fallback_ids=None, repo_get_override=None, repo_update_side=None):
|
||||
session = _mock_session_with_clips(clip_ids)
|
||||
assets: dict[str, FakeAsset] = {}
|
||||
|
||||
def fake_repo_init(sess):
|
||||
repo = MagicMock()
|
||||
|
||||
def fake_get(aid):
|
||||
if repo_get_override and aid in repo_get_override:
|
||||
return repo_get_override[aid]
|
||||
return assets.setdefault(aid, FakeAsset(aid, metadata={}))
|
||||
|
||||
repo.get.side_effect = fake_get
|
||||
if repo_update_side:
|
||||
repo.update.side_effect = repo_update_side
|
||||
else:
|
||||
repo.update.side_effect = lambda a: a
|
||||
return repo
|
||||
|
||||
import unittest.mock as mock
|
||||
|
||||
with (
|
||||
mock.patch(
|
||||
"packages.adapters.sqlalchemy_impl.asset_repository.SQLAlchemyAssetRepository",
|
||||
side_effect=fake_repo_init,
|
||||
),
|
||||
_patch_clip_model(),
|
||||
):
|
||||
written = gen_mod._record_rendered_asset_usage(session, "plan-1", "task-1", fallback_asset_ids=fallback_ids)
|
||||
return written, assets
|
||||
|
||||
def test_writes_by_plan_clips_not_request_asset_ids(self):
|
||||
"""核心口径:plan clips 用 x×2 + y×1;请求里的 z(未被 plan 选用)不计数。"""
|
||||
written, assets = self._run(
|
||||
clip_ids=["asset-x", "asset-x", "asset-y"],
|
||||
fallback_ids=["asset-x", "asset-y", "asset-z"],
|
||||
)
|
||||
assert written == 2
|
||||
assert assets["asset-x"].metadata["generation_use_count"] == 2
|
||||
assert assets["asset-y"].metadata["generation_use_count"] == 1
|
||||
assert "asset-z" not in assets, "未被 plan 选用的素材不应被计数"
|
||||
|
||||
def test_fallback_to_task_asset_ids_when_plan_empty(self):
|
||||
"""plan 无有效片段(异常数据)→ 兜底任务 asset_ids 每个计 1 次。"""
|
||||
written, assets = self._run(clip_ids=[""], fallback_ids=["asset-a", "asset-b"])
|
||||
assert written == 2
|
||||
assert assets["asset-a"].metadata["generation_use_count"] == 1
|
||||
assert assets["asset-b"].metadata["generation_use_count"] == 1
|
||||
|
||||
def test_no_clips_no_fallback_returns_zero(self):
|
||||
written, assets = self._run(clip_ids=[], fallback_ids=[])
|
||||
assert written == 0
|
||||
assert assets == {}
|
||||
|
||||
def test_single_asset_failure_does_not_block_others(self):
|
||||
"""单素材 update 抛异常不影响其他素材回写。"""
|
||||
|
||||
def update_side(a):
|
||||
if a.id == "bad":
|
||||
raise RuntimeError("DB boom")
|
||||
return a
|
||||
|
||||
written, assets = self._run(
|
||||
clip_ids=["good1", "bad", "good2"],
|
||||
fallback_ids=None,
|
||||
repo_update_side=update_side,
|
||||
)
|
||||
assert written == 2
|
||||
assert assets["good1"].metadata["generation_use_count"] == 1
|
||||
assert assets["good2"].metadata["generation_use_count"] == 1
|
||||
|
||||
def test_missing_asset_skipped(self):
|
||||
"""repo.get 返回 None 的素材跳过,不报错。"""
|
||||
written, assets = self._run(
|
||||
clip_ids=["ghost", "real"],
|
||||
fallback_ids=None,
|
||||
repo_get_override={"ghost": None},
|
||||
)
|
||||
assert written == 1
|
||||
assert assets["real"].metadata["generation_use_count"] == 1
|
||||
@@ -0,0 +1,244 @@
|
||||
"""#1743 dedup_helpers 批次查重 + worker 重选 plan 重试函数测试。
|
||||
|
||||
覆盖:
|
||||
- 批次任务且无历史重复时走 check_batch_duplicate,batch_similarity 透传到返回 dict
|
||||
- 批次任务历史已重复 → 不再做批次查重,is_duplicate=True / duplicate_of 透传
|
||||
- 非批次任务 batch_similarity 恒为 None
|
||||
- _reselect_plan_for_batch_retry:成功返回新 plan_id;异常返回 None(保留首版)
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import os
|
||||
import sys
|
||||
from pathlib import Path
|
||||
from unittest.mock import MagicMock, patch
|
||||
|
||||
import pytest
|
||||
|
||||
REPO_ROOT = Path(__file__).resolve().parents[2]
|
||||
for sub in ("apps/worker", "apps/api", "packages", ""):
|
||||
p = str(REPO_ROOT / sub) if sub else str(REPO_ROOT)
|
||||
if p not in sys.path:
|
||||
sys.path.insert(0, p)
|
||||
|
||||
from sqlalchemy import create_engine # noqa: E402
|
||||
from sqlalchemy.orm import sessionmaker # noqa: E402
|
||||
|
||||
os.environ.setdefault("DATABASE_URL", "sqlite:///:memory:")
|
||||
from packages.adapters.sqlalchemy_impl.models import Base # noqa: E402
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def session():
|
||||
engine = create_engine("sqlite:///:memory:")
|
||||
Base.metadata.create_all(engine)
|
||||
s = sessionmaker(bind=engine)()
|
||||
try:
|
||||
yield s
|
||||
finally:
|
||||
s.close()
|
||||
|
||||
|
||||
def _dedup_kwargs(batch_id):
|
||||
return dict(
|
||||
generation_task_id="task-batch-1",
|
||||
project_id="proj-1",
|
||||
user_id="user-1",
|
||||
batch_id=batch_id,
|
||||
file_url="https://oss.example.com/v.mp4",
|
||||
file_size=1024,
|
||||
duration=10.0,
|
||||
video_path="/tmp/fake.mp4",
|
||||
mode="edit_plan",
|
||||
width=1280,
|
||||
height=720,
|
||||
fps=25.0,
|
||||
)
|
||||
|
||||
|
||||
class TestBatchDedupInHelpers:
|
||||
"""dedup_helpers 内部 lazy import video_processing.dedup(依赖 cv2),
|
||||
复用 test_generated_video_creation_logic 的 mock 模块注册模式。"""
|
||||
|
||||
@classmethod
|
||||
def setup_class(cls):
|
||||
import sys
|
||||
|
||||
if "cv2" not in sys.modules:
|
||||
sys.modules["cv2"] = MagicMock()
|
||||
|
||||
# 保存 setup 前的真实模块引用,teardown 原样还原(沙箱无 cv2 时 reimport 会失败,
|
||||
# 若直接 pop 掉 MagicMock 会让后续测试(如 test_dedup_1702)拿到残缺模块)
|
||||
import video_processing
|
||||
|
||||
cls._orig_dedup = sys.modules.get("video_processing.dedup")
|
||||
cls._orig_dedup_attr = getattr(video_processing, "dedup", None)
|
||||
cls._orig_thumb = sys.modules.get("video_processing.thumbnail_generator")
|
||||
cls._orig_thumb_attr = getattr(video_processing, "thumbnail_generator", None)
|
||||
|
||||
mock_dedup = MagicMock()
|
||||
mock_dedup.VideoDeduplicator = MagicMock()
|
||||
sys.modules["video_processing.dedup"] = mock_dedup
|
||||
|
||||
mock_thumb = MagicMock()
|
||||
mock_thumb.extract_first_frame = MagicMock()
|
||||
sys.modules["video_processing.thumbnail_generator"] = mock_thumb
|
||||
|
||||
video_processing.dedup = mock_dedup
|
||||
video_processing.thumbnail_generator = mock_thumb
|
||||
|
||||
@classmethod
|
||||
def teardown_class(cls):
|
||||
import sys
|
||||
|
||||
import video_processing
|
||||
|
||||
# 还原 setup 前状态:原本有真模块→放回;原本没有→移除 mock
|
||||
if cls._orig_dedup is not None:
|
||||
sys.modules["video_processing.dedup"] = cls._orig_dedup
|
||||
else:
|
||||
sys.modules.pop("video_processing.dedup", None)
|
||||
if cls._orig_dedup_attr is not None:
|
||||
video_processing.dedup = cls._orig_dedup_attr
|
||||
elif hasattr(video_processing, "dedup"):
|
||||
delattr(video_processing, "dedup")
|
||||
|
||||
if cls._orig_thumb is not None:
|
||||
sys.modules["video_processing.thumbnail_generator"] = cls._orig_thumb
|
||||
else:
|
||||
sys.modules.pop("video_processing.thumbnail_generator", None)
|
||||
if cls._orig_thumb_attr is not None:
|
||||
video_processing.thumbnail_generator = cls._orig_thumb_attr
|
||||
elif hasattr(video_processing, "thumbnail_generator"):
|
||||
delattr(video_processing, "thumbnail_generator")
|
||||
|
||||
def test_batch_similarity_returned_when_batch_duplicate_found(self, session):
|
||||
"""批次任务 + 无历史重复 + 批次查重命中 → 返回 batch_similarity 与 is_duplicate。"""
|
||||
from video_processing.dedup_helpers import create_video_record_and_dedup
|
||||
|
||||
with patch("video_processing.dedup.VideoDeduplicator") as mock_cls:
|
||||
dedup = mock_cls.return_value
|
||||
dedup.compute_fingerprint.return_value = MagicMock(to_dict=lambda: {})
|
||||
dedup.check_duplicate.return_value = None # 历史无重复
|
||||
dedup.check_batch_duplicate.return_value = {
|
||||
"duplicate_of": "video-existing",
|
||||
"reason": "batch_similar",
|
||||
"similarity": 0.601,
|
||||
}
|
||||
dedup.compute_duplicate_rate.return_value = {
|
||||
"duplicate_rate": 0.0,
|
||||
"visual_similarity": 0.0,
|
||||
"match_count": 0,
|
||||
}
|
||||
|
||||
result = create_video_record_and_dedup(session=session, **_dedup_kwargs("batch-abc"))
|
||||
|
||||
assert result["video_count"] == 1
|
||||
assert result["batch_similarity"] == pytest.approx(0.601)
|
||||
assert result["is_duplicate"] is True
|
||||
assert result["duplicate_of"] == "video-existing"
|
||||
# 批次查重确实被调用(历史查重为 None 才走批次)
|
||||
dedup.check_batch_duplicate.assert_called_once()
|
||||
|
||||
def test_batch_check_skipped_when_historical_duplicate(self, session):
|
||||
"""历史查重已命中 → 不再批次查重,batch_similarity 为 None。"""
|
||||
from video_processing.dedup_helpers import create_video_record_and_dedup
|
||||
|
||||
with patch("video_processing.dedup.VideoDeduplicator") as mock_cls:
|
||||
dedup = mock_cls.return_value
|
||||
dedup.compute_fingerprint.return_value = MagicMock(to_dict=lambda: {})
|
||||
dedup.check_duplicate.return_value = {
|
||||
"duplicate_of": "video-old",
|
||||
"reason": "global",
|
||||
"similarity": 0.85,
|
||||
}
|
||||
dedup.compute_duplicate_rate.return_value = {
|
||||
"duplicate_rate": 85.0,
|
||||
"visual_similarity": 0.85,
|
||||
"match_count": 3,
|
||||
}
|
||||
|
||||
result = create_video_record_and_dedup(session=session, **_dedup_kwargs("batch-abc"))
|
||||
|
||||
assert result["is_duplicate"] is True
|
||||
assert result["duplicate_of"] == "video-old"
|
||||
assert result["batch_similarity"] is None
|
||||
dedup.check_batch_duplicate.assert_not_called()
|
||||
|
||||
def test_non_batch_never_runs_batch_check(self, session):
|
||||
"""非批次任务(batch_id 为空)→ 不调用批次查重,batch_similarity None。"""
|
||||
from video_processing.dedup_helpers import create_video_record_and_dedup
|
||||
|
||||
with patch("video_processing.dedup.VideoDeduplicator") as mock_cls:
|
||||
dedup = mock_cls.return_value
|
||||
dedup.compute_fingerprint.return_value = MagicMock(to_dict=lambda: {})
|
||||
dedup.check_duplicate.return_value = None
|
||||
dedup.check_batch_duplicate.return_value = {"similarity": 0.99}
|
||||
dedup.compute_duplicate_rate.return_value = {
|
||||
"duplicate_rate": 0.0,
|
||||
"visual_similarity": 0.0,
|
||||
"match_count": 0,
|
||||
}
|
||||
|
||||
result = create_video_record_and_dedup(session=session, **_dedup_kwargs(""))
|
||||
|
||||
assert result["video_count"] == 1
|
||||
assert result["batch_similarity"] is None
|
||||
assert result["is_duplicate"] is False
|
||||
dedup.check_batch_duplicate.assert_not_called()
|
||||
|
||||
def test_batch_no_duplicate_returns_none_similarity(self, session):
|
||||
"""批次任务但批次查重也未命中 → batch_similarity None(驱动不重渲)。"""
|
||||
from video_processing.dedup_helpers import create_video_record_and_dedup
|
||||
|
||||
with patch("video_processing.dedup.VideoDeduplicator") as mock_cls:
|
||||
dedup = mock_cls.return_value
|
||||
dedup.compute_fingerprint.return_value = MagicMock(to_dict=lambda: {})
|
||||
dedup.check_duplicate.return_value = None
|
||||
dedup.check_batch_duplicate.return_value = None
|
||||
dedup.compute_duplicate_rate.return_value = {
|
||||
"duplicate_rate": 0.0,
|
||||
"visual_similarity": 0.0,
|
||||
"match_count": 0,
|
||||
}
|
||||
|
||||
result = create_video_record_and_dedup(session=session, **_dedup_kwargs("batch-xyz"))
|
||||
|
||||
assert result["batch_similarity"] is None
|
||||
assert result["is_duplicate"] is False
|
||||
|
||||
|
||||
class TestReselectPlanForBatchRetry:
|
||||
def test_success_returns_new_plan_id(self):
|
||||
"""重选成功 → 返回新 plan_id。"""
|
||||
from worker_app.tasks.generation import _reselect_plan_for_batch_retry
|
||||
|
||||
fake_svc = MagicMock()
|
||||
fake_svc.reselect_plan_for_variant.return_value = MagicMock(id="new-plan-999")
|
||||
with patch("app.services.edit_plan_service.EditPlanService", return_value=fake_svc):
|
||||
with patch("worker_app.tasks.generation.SessionLocal") as mock_session_local:
|
||||
mock_session_local.return_value = MagicMock()
|
||||
new_id = _reselect_plan_for_batch_retry(
|
||||
"task-1",
|
||||
"old-plan",
|
||||
{"task_asset_ids": ["a1", "a2"], "user_id": "u-1"},
|
||||
)
|
||||
assert new_id == "new-plan-999"
|
||||
fake_svc.reselect_plan_for_variant.assert_called_once()
|
||||
args, kwargs = fake_svc.reselect_plan_for_variant.call_args
|
||||
assert args[0] == "old-plan"
|
||||
assert args[1] == ["a1", "a2"]
|
||||
assert kwargs["created_by_user_id"] == "u-1"
|
||||
|
||||
def test_failure_returns_none_and_keeps_first_version(self):
|
||||
"""重选抛异常 → 返回 None(调用方放弃重渲、保留首版),不抛出。"""
|
||||
from worker_app.tasks.generation import _reselect_plan_for_batch_retry
|
||||
|
||||
fake_svc = MagicMock()
|
||||
fake_svc.reselect_plan_for_variant.side_effect = RuntimeError("db down")
|
||||
with patch("app.services.edit_plan_service.EditPlanService", return_value=fake_svc):
|
||||
with patch("worker_app.tasks.generation.SessionLocal") as mock_session_local:
|
||||
mock_session_local.return_value = MagicMock()
|
||||
result = _reselect_plan_for_batch_retry("task-1", "old-plan", {"task_asset_ids": [], "user_id": "u-1"})
|
||||
assert result is None
|
||||
@@ -1,7 +1,9 @@
|
||||
"""AI Review 回归:批量生成 count>1 但 source_edit_plan_id 为空时不应 IndexError。
|
||||
"""#1743 批量生成无可用 plan 守卫。
|
||||
|
||||
变体 plan 预克隆仅在 source_edit_plan_id 非空时执行;无源 plan 时
|
||||
variant_plan_ids 为空,循环中禁止索引访问,各任务走自身随机选片流程。
|
||||
新规则(P0 降重):count>1 批量生成时必须存在源 plan(前端传入或按模板兜底
|
||||
解析到最新 plan),为每个变体独立选片;**无任何可用 plan 时直接 4xx 中断、
|
||||
不创建任务**,严禁 N 个任务兜底共用同一 plan 产出同源成片。
|
||||
N=1 单视频不受影响(无 plan 时走原有单任务流程)。
|
||||
"""
|
||||
|
||||
import sys
|
||||
@@ -9,6 +11,9 @@ from pathlib import Path
|
||||
from types import SimpleNamespace
|
||||
from unittest.mock import MagicMock, patch
|
||||
|
||||
import pytest
|
||||
from fastapi import HTTPException
|
||||
|
||||
REPO_ROOT = Path(__file__).resolve().parents[2]
|
||||
if str(REPO_ROOT) not in sys.path:
|
||||
sys.path.insert(0, str(REPO_ROOT))
|
||||
@@ -18,78 +23,117 @@ def _make_user():
|
||||
return SimpleNamespace(user=SimpleNamespace(id="user-1"))
|
||||
|
||||
|
||||
def _make_request(count):
|
||||
def _make_request(count, **overrides):
|
||||
from app.schemas.generation_task import CreateGenerationTaskRequest
|
||||
|
||||
return CreateGenerationTaskRequest(
|
||||
fields = dict(
|
||||
project_id="proj-1",
|
||||
asset_library_id="lib-1",
|
||||
strategy_id="one_take",
|
||||
asset_ids=["a1"],
|
||||
count=count,
|
||||
source_edit_plan_id="", # 关键:无源 plan(空字符串为假值)
|
||||
source_edit_plan_id="",
|
||||
)
|
||||
fields.update(overrides)
|
||||
return CreateGenerationTaskRequest(**fields)
|
||||
|
||||
|
||||
class TestBatchNoSourcePlanNoIndexError:
|
||||
def test_count3_without_source_plan_creates_three_tasks(self):
|
||||
"""count=3 且无 source_edit_plan_id:不克隆、不 IndexError、创建 3 个任务。"""
|
||||
def _common_patches(latest_plan=None):
|
||||
"""构造通用 patch 上下文(repo/usecase/enqueue 等)。latest_plan 为模板兜底 plan 或 None。"""
|
||||
repo = MagicMock()
|
||||
repo.count_pending_by_user.return_value = 0
|
||||
repo.count_pending_total.return_value = 0
|
||||
repo.create.side_effect = lambda t: t
|
||||
repo.update.side_effect = lambda t: t
|
||||
|
||||
created = []
|
||||
|
||||
def _fake_execute(cmd):
|
||||
task = MagicMock()
|
||||
task.id = f"task-{len(created) + 1}"
|
||||
task.source_edit_plan_id = cmd.source_edit_plan_id
|
||||
task.status = "pending"
|
||||
task.progress = 0.0
|
||||
task.strategy_id = "one_take"
|
||||
task.error_message = ""
|
||||
task.cover_url = ""
|
||||
task.title_config = {}
|
||||
task.created_at = None
|
||||
task.batch_id = "batch-1"
|
||||
created.append(task)
|
||||
return task
|
||||
|
||||
db = MagicMock()
|
||||
# 模板兜底查最新 plan:返回 latest_plan(None 表示查不到)
|
||||
db.query.return_value.filter.return_value.order_by.return_value.first.return_value = latest_plan
|
||||
|
||||
mock_uc = patch("app.api.routes.generation_tasks.CreateGenerationTaskUseCase")
|
||||
other_patches = [
|
||||
patch("app.api.routes.generation_tasks.safe_enqueue_generation_task", return_value=True),
|
||||
patch("app.api.routes.generation_tasks._writeback_edit_plan_config"),
|
||||
patch(
|
||||
"app.api.routes.generation_tasks._resolve_project_and_library",
|
||||
return_value=("proj-1", ""),
|
||||
),
|
||||
]
|
||||
return repo, db, created, mock_uc, other_patches, _fake_execute
|
||||
|
||||
|
||||
class TestBatchNoSourcePlanGuard:
|
||||
def test_count3_without_any_plan_rejects_4xx_and_creates_nothing(self):
|
||||
"""count=3 且无源 plan、模板兜底也查不到 → 400 中断,零任务创建(严禁同源成片)。"""
|
||||
from app.api.routes.generation_tasks import create_generation_task
|
||||
|
||||
repo = MagicMock()
|
||||
repo.count_pending_by_user.return_value = 0
|
||||
repo.count_pending_total.return_value = 0
|
||||
repo.create.side_effect = lambda t: t
|
||||
repo.update.side_effect = lambda t: t
|
||||
repo, db, created, mock_uc, other_patches, fake_exec = _common_patches(latest_plan=None)
|
||||
MockUC = mock_uc.start()
|
||||
MockUC.return_value.execute.side_effect = fake_exec
|
||||
for p in other_patches:
|
||||
p.start()
|
||||
all_patches = [mock_uc] + other_patches
|
||||
try:
|
||||
with pytest.raises(HTTPException) as exc_info:
|
||||
create_generation_task(
|
||||
_make_request(3),
|
||||
authenticated_user=_make_user(),
|
||||
generation_task_repository=repo,
|
||||
project_repository=MagicMock(),
|
||||
asset_repository=MagicMock(),
|
||||
asset_library_repository=MagicMock(),
|
||||
db=db,
|
||||
)
|
||||
assert exc_info.value.status_code == 400
|
||||
finally:
|
||||
for p in reversed(all_patches):
|
||||
p.stop()
|
||||
assert len(created) == 0, "无 plan 批量必须零任务创建"
|
||||
|
||||
created = []
|
||||
def test_count1_without_plan_still_works(self):
|
||||
"""N=1 单视频无 plan 不触发批量守卫(向后兼容,不 4xx)。"""
|
||||
from app.api.routes.generation_tasks import create_generation_task
|
||||
|
||||
def _fake_execute(cmd):
|
||||
task = MagicMock()
|
||||
task.id = f"task-{len(created) + 1}"
|
||||
task.source_edit_plan_id = cmd.source_edit_plan_id
|
||||
task.status = "pending"
|
||||
task.progress = 0.0
|
||||
task.strategy_id = "one_take"
|
||||
task.error_message = ""
|
||||
task.cover_url = None
|
||||
task.title_config = {}
|
||||
task.created_at = None
|
||||
task.batch_id = "batch-1"
|
||||
created.append(task)
|
||||
return task
|
||||
|
||||
with patch("app.api.routes.generation_tasks.CreateGenerationTaskUseCase") as MockUC:
|
||||
MockUC.return_value.execute.side_effect = _fake_execute
|
||||
with patch(
|
||||
"app.api.routes.generation_tasks.safe_enqueue_generation_task",
|
||||
return_value=True,
|
||||
):
|
||||
with patch("app.api.routes.generation_tasks._writeback_edit_plan_config"):
|
||||
with patch(
|
||||
"app.api.routes.generation_tasks._resolve_project_and_library",
|
||||
return_value=("proj-1", ""),
|
||||
):
|
||||
# 核心断言:不得抛 IndexError(变体 plan 索引守卫)。
|
||||
# 响应序列化字段与本回归无关,ValidationError 可接受,
|
||||
# 但 IndexError 必须不出现。
|
||||
try:
|
||||
create_generation_task(
|
||||
_make_request(3),
|
||||
authenticated_user=_make_user(),
|
||||
generation_task_repository=repo,
|
||||
project_repository=MagicMock(),
|
||||
asset_repository=MagicMock(),
|
||||
asset_library_repository=MagicMock(),
|
||||
db=MagicMock(),
|
||||
)
|
||||
except IndexError as exc: # pragma: no cover - 不应发生
|
||||
pytest.fail(f"无源 plan 批量生成触发 IndexError: {exc}")
|
||||
except Exception:
|
||||
# 响应序列化等其他异常与本次守卫无关,忽略
|
||||
pass
|
||||
|
||||
# 3 个任务全部创建(未因 IndexError 中断)
|
||||
assert len(created) == 3
|
||||
# 无源 plan 时所有任务 source_edit_plan_id 均为空
|
||||
assert all(not t.source_edit_plan_id for t in created)
|
||||
repo, db, created, mock_uc, other_patches, fake_exec = _common_patches(latest_plan=None)
|
||||
MockUC = mock_uc.start()
|
||||
MockUC.return_value.execute.side_effect = fake_exec
|
||||
for p in other_patches:
|
||||
p.start()
|
||||
all_patches = [mock_uc] + other_patches
|
||||
try:
|
||||
create_generation_task(
|
||||
_make_request(1),
|
||||
authenticated_user=_make_user(),
|
||||
generation_task_repository=repo,
|
||||
project_repository=MagicMock(),
|
||||
asset_repository=MagicMock(),
|
||||
asset_library_repository=MagicMock(),
|
||||
db=db,
|
||||
)
|
||||
except HTTPException as e:
|
||||
assert e.status_code != 400, f"N=1 不应被批量守卫拦截: {e.detail}"
|
||||
except Exception:
|
||||
# MagicMock 任务对象下游响应序列化可能抛 ValidationError 等,与批量守卫无关;
|
||||
# 任务已在 usecase.execute 中创建,下方断言 created==1 即证明守卫未拦截。
|
||||
pass
|
||||
finally:
|
||||
for p in reversed(all_patches):
|
||||
p.stop()
|
||||
assert len(created) == 1
|
||||
|
||||
@@ -0,0 +1,80 @@
|
||||
"""#1743 worker 批量重渲判定 + 封面哈希选帧纯函数测试。
|
||||
|
||||
- should_rerender_for_batch_dedup:批次首版查重率 >20% 才重渲(非批次/重渲版/无查重率不重渲)
|
||||
- pick_batch_cover_index:task_id md5 稳定哈希分散候选帧(同任务稳定、跨任务分散)
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import hashlib
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
REPO_ROOT = Path(__file__).resolve().parents[2]
|
||||
for sub in ("apps/worker", "apps/api", "packages", ""):
|
||||
p = str(REPO_ROOT / sub) if sub else str(REPO_ROOT)
|
||||
if p not in sys.path:
|
||||
sys.path.insert(0, p)
|
||||
|
||||
from worker_app.tasks.generation import ( # noqa: E402
|
||||
BATCH_RENDER_SIMILARITY_LIMIT,
|
||||
pick_batch_cover_index,
|
||||
should_rerender_for_batch_dedup,
|
||||
)
|
||||
|
||||
|
||||
class TestShouldRerenderForBatchDedup:
|
||||
def test_non_batch_never_rerenders(self):
|
||||
"""非批次任务(batch_id 为空)任何查重率都不重渲。"""
|
||||
assert should_rerender_for_batch_dedup(batch_id="", render_attempt=0, batch_similarity=0.99) is False
|
||||
assert should_rerender_for_batch_dedup(batch_id="", render_attempt=0, batch_similarity=None) is False
|
||||
|
||||
def test_batch_first_version_over_threshold_rerenders(self):
|
||||
"""批次首版(attempt=0)查重率 >20% → 重渲。"""
|
||||
assert should_rerender_for_batch_dedup(batch_id="batch-1", render_attempt=0, batch_similarity=0.601) is True
|
||||
assert should_rerender_for_batch_dedup(batch_id="batch-1", render_attempt=0, batch_similarity=0.21) is True
|
||||
|
||||
def test_batch_first_version_under_threshold_no_rerender(self):
|
||||
"""批次首版查重率 ≤20% → 不重渲。"""
|
||||
assert should_rerender_for_batch_dedup(batch_id="batch-1", render_attempt=0, batch_similarity=0.20) is False
|
||||
assert should_rerender_for_batch_dedup(batch_id="batch-1", render_attempt=0, batch_similarity=0.0) is False
|
||||
assert should_rerender_for_batch_dedup(batch_id="batch-1", render_attempt=0, batch_similarity=0.05) is False
|
||||
|
||||
def test_rerendered_version_never_rerenders_again(self):
|
||||
"""重渲版(attempt=1)即使仍超阈值也不再重渲(最多重渲一次)。"""
|
||||
assert should_rerender_for_batch_dedup(batch_id="batch-1", render_attempt=1, batch_similarity=0.99) is False
|
||||
|
||||
def test_missing_similarity_no_rerender(self):
|
||||
"""查重率缺失(None,非批次查重路径)→ 不重渲。"""
|
||||
assert should_rerender_for_batch_dedup(batch_id="batch-1", render_attempt=0, batch_similarity=None) is False
|
||||
|
||||
def test_threshold_constant_is_20_percent(self):
|
||||
assert BATCH_RENDER_SIMILARITY_LIMIT == 0.20
|
||||
|
||||
|
||||
class TestPickBatchCoverIndex:
|
||||
def test_stable_for_same_task(self):
|
||||
"""同一 task_id 多次调用结果稳定(重试封面不变)。"""
|
||||
first = pick_batch_cover_index("task-abc", 3)
|
||||
for _ in range(5):
|
||||
assert pick_batch_cover_index("task-abc", 3) == first
|
||||
|
||||
def test_zero_or_one_candidate_returns_zero(self):
|
||||
assert pick_batch_cover_index("task-x", 0) == 0
|
||||
assert pick_batch_cover_index("task-x", 1) == 0
|
||||
|
||||
def test_index_within_range(self):
|
||||
for i in range(20):
|
||||
idx = pick_batch_cover_index(f"task-{i}", 3)
|
||||
assert 0 <= idx < 3
|
||||
|
||||
def test_matches_md5_formula(self):
|
||||
"""与主流程公式一致:md5(task_id) % 候选数。"""
|
||||
task_id = "task-formula-check"
|
||||
expected = int(hashlib.md5(task_id.encode()).hexdigest(), 16) % 3
|
||||
assert pick_batch_cover_index(task_id, 3) == expected
|
||||
|
||||
def test_batch_tasks_spread_across_frames(self):
|
||||
"""30 个批次任务在 3 个候选帧上分散(不能全部落在 frame_0——旧 bug 回归守卫)。"""
|
||||
indexes = {pick_batch_cover_index(f"batch-task-{i}", 3) for i in range(30)}
|
||||
assert len(indexes) >= 2, f"封面帧应分散到多个帧位,实际全部落在: {indexes}"
|
||||
@@ -85,7 +85,10 @@ class TestTwoPhaseCommit:
|
||||
session=session,
|
||||
)
|
||||
|
||||
assert result == 1
|
||||
# #1743:返回值由 int 改为 dict(含批次查重信息)
|
||||
assert isinstance(result, dict)
|
||||
assert result["video_count"] == 1
|
||||
assert result["batch_similarity"] is None # 非批次任务无批次相似度
|
||||
# create() should be called exactly once with the complete video object
|
||||
mock_repo.create.assert_called_once()
|
||||
created_video = mock_repo.create.call_args[0][0]
|
||||
@@ -122,7 +125,10 @@ class TestTwoPhaseCommit:
|
||||
session=session,
|
||||
)
|
||||
|
||||
assert result == 1
|
||||
# #1743:返回值由 int 改为 dict(含批次查重信息)
|
||||
assert isinstance(result, dict)
|
||||
assert result["video_count"] == 1
|
||||
assert result["batch_similarity"] is None # 非批次任务无批次相似度
|
||||
mock_repo.create.assert_called_once()
|
||||
created_video = mock_repo.create.call_args[0][0]
|
||||
assert created_video.duplicate_rate is None
|
||||
@@ -161,7 +167,10 @@ class TestTwoPhaseCommit:
|
||||
session=session,
|
||||
)
|
||||
|
||||
assert result == 1
|
||||
# #1743:返回值由 int 改为 dict(含批次查重信息)
|
||||
assert isinstance(result, dict)
|
||||
assert result["video_count"] == 1
|
||||
assert result["batch_similarity"] is None # 非批次任务无批次相似度
|
||||
mock_repo.create.assert_called_once()
|
||||
created_video = mock_repo.create.call_args[0][0]
|
||||
# Fingerprint should be set
|
||||
@@ -229,6 +238,7 @@ class TestTwoPhaseCommit:
|
||||
session=session,
|
||||
)
|
||||
|
||||
assert result == 0
|
||||
# #1743:失败路径返回 dict(video_count=0)
|
||||
assert result["video_count"] == 0
|
||||
session.commit.assert_not_called()
|
||||
session.rollback.assert_called_once()
|
||||
|
||||
@@ -381,7 +381,8 @@ class TestThumbnailInDedupHelpers:
|
||||
thumbnail_url=pre_thumb_url,
|
||||
)
|
||||
|
||||
assert result == 1
|
||||
# #1743:返回 dict(非批次 batch_similarity=None)
|
||||
assert result["video_count"] == 1
|
||||
|
||||
from packages.adapters.sqlalchemy_impl.models import GeneratedVideoModel
|
||||
|
||||
@@ -427,7 +428,8 @@ class TestThumbnailInDedupHelpers:
|
||||
fps=25.0,
|
||||
)
|
||||
|
||||
assert result == 1
|
||||
# #1743:返回 dict(非批次 batch_similarity=None)
|
||||
assert result["video_count"] == 1
|
||||
|
||||
from packages.adapters.sqlalchemy_impl.models import GeneratedVideoModel
|
||||
|
||||
@@ -474,7 +476,7 @@ class TestThumbnailInDedupHelpers:
|
||||
fps=25.0,
|
||||
)
|
||||
|
||||
assert result == 1 # 不阻断
|
||||
assert result["video_count"] == 1 # 不阻断(#1743 dict 返回)
|
||||
|
||||
from packages.adapters.sqlalchemy_impl.models import GeneratedVideoModel
|
||||
|
||||
|
||||
@@ -0,0 +1,206 @@
|
||||
"""#1743 EditPlanService.reselect_plan_for_variant 服务层测试。
|
||||
|
||||
与 clone_plan_for_variant(只重算起点、素材/顺序不变)不同,reselect 完整重跑
|
||||
单视频选片:素材池 shuffle + main 片段顺序洗牌 + 起点重选 + 批次 20% 重叠避让。
|
||||
|
||||
覆盖:
|
||||
- 独立 plan:新 plan_id 与源不同、命名带后缀、模板/config 复制
|
||||
- 新片段经 replace_all_clips_transactional 落库,素材/起点与源 plan 存在差异
|
||||
- 源 plan 区间作为批次避让初始对象;record_used_segments 随新片段写回
|
||||
- 源 plan 无片段 → ValueError(不创建同源变体)
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import os
|
||||
import sys
|
||||
from pathlib import Path
|
||||
from unittest.mock import MagicMock, patch
|
||||
|
||||
import pytest
|
||||
|
||||
os.environ.setdefault("JWT_SECRET_KEY", "unit-test-secret-key-for-testing")
|
||||
os.environ.setdefault("DATABASE_URL", "sqlite:///test.db")
|
||||
|
||||
REPO_ROOT = Path(__file__).resolve().parents[2]
|
||||
sys.path.insert(0, str(REPO_ROOT / "apps" / "api"))
|
||||
sys.path.insert(0, str(Path(__file__).resolve().parent)) # tests/unit
|
||||
|
||||
from test_edit_plan_service import StubEditPlanClipRepository, StubEditPlanRepository, _make_service # noqa: E402
|
||||
|
||||
from packages.domain.edit_plan_clip import EditPlanClip # noqa: E402
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def svc_with_source():
|
||||
"""带源 plan(4 个 main 片段,素材 a1/a2/a3/a4)+ 2 个批次候选素材的 service。"""
|
||||
svc = _make_service()
|
||||
svc._clip_repo.session = MagicMock()
|
||||
|
||||
source = svc.create_plan(template_id="tpl-001", name="9/6-草稿", total_duration=20.0, config={"title": "源配置"})
|
||||
for i, aid in enumerate(["a1", "a2", "a3", "a4"]):
|
||||
clip = EditPlanClip.create(
|
||||
plan_id=source.id,
|
||||
clip_type="main",
|
||||
order=i,
|
||||
asset_id=aid,
|
||||
start_time=float(i * 5),
|
||||
duration=5.0,
|
||||
text_content=f"文案{i}",
|
||||
)
|
||||
svc._clip_repo.create(clip)
|
||||
return svc, source
|
||||
|
||||
|
||||
def _patch_deps(svc, durations):
|
||||
"""统一 patch reselect 的 DB/素材/历史区间依赖。返回 (patches, mock_replace)。"""
|
||||
asset_models = []
|
||||
for aid, dur in durations.items():
|
||||
m = MagicMock(id=aid)
|
||||
m.duration = dur
|
||||
m.metadata = None # extract_scene_points_from_metadata(None) → 无场景点
|
||||
asset_models.append(m)
|
||||
|
||||
mock_replace = patch.object(svc, "replace_all_clips_transactional", return_value=4)
|
||||
patches = [
|
||||
patch("app.services.edit_plan_service.get_used_segments", return_value={}),
|
||||
patch("app.services.edit_plan_service.record_used_segments", return_value=None),
|
||||
patch("packages.domain.plan_generator_utils.extract_scene_points_from_metadata", return_value=[]),
|
||||
patch("packages.adapters.sqlalchemy_impl.models.AssetModel", create=True),
|
||||
mock_replace,
|
||||
]
|
||||
started = []
|
||||
for p in patches:
|
||||
started.append(p.start())
|
||||
# started[-1] 是 replace_all 的 MagicMock
|
||||
mock_replace_obj = started[-1]
|
||||
# db.query(AssetModel).filter(...).all() → 带 duration 的素材 mock
|
||||
svc._clip_repo.session.query.return_value.filter.return_value.all.return_value = asset_models
|
||||
return patches, mock_replace_obj
|
||||
|
||||
|
||||
class TestReselectPlanForVariant:
|
||||
def test_creates_independent_plan_with_different_clips(self, svc_with_source):
|
||||
"""reselect 产出新 plan(id/名称不同),片段素材或起点与源 plan 存在差异。"""
|
||||
import random
|
||||
|
||||
svc, source = svc_with_source
|
||||
durations = {"a1": 300.0, "a2": 300.0, "a3": 300.0, "a4": 300.0, "a5": 300.0, "a6": 300.0}
|
||||
patches, mock_replace = _patch_deps(svc, durations)
|
||||
try:
|
||||
new_plan = svc.reselect_plan_for_variant(
|
||||
source.id,
|
||||
["a5", "a6"], # 批次素材并入素材池
|
||||
created_by_user_id="u-1",
|
||||
name_suffix="批量2",
|
||||
rng=random.Random(42),
|
||||
)
|
||||
finally:
|
||||
for p in reversed(patches):
|
||||
p.stop()
|
||||
|
||||
# 新 plan 独立、归属/模板/config 复制
|
||||
assert new_plan.id != source.id
|
||||
assert "批量2" in new_plan.name
|
||||
assert new_plan.template_id == "tpl-001"
|
||||
assert new_plan.config == {"title": "源配置"}
|
||||
assert new_plan.created_by_user_id == "u-1"
|
||||
|
||||
# 落库片段数 == 源片段数,且 order 对齐
|
||||
clips_data = mock_replace.call_args.args[1]
|
||||
assert len(clips_data) == 4
|
||||
assert [c["order"] for c in clips_data] == [0, 1, 2, 3]
|
||||
|
||||
# 与源 plan 对比:素材序列或起点必须存在差异(降重核心——不是克隆)
|
||||
source_pairs = [(c.asset_id, round(float(c.start_time), 2)) for c in svc._clip_repo.list_by_plan(source.id)]
|
||||
new_pairs = [(c["asset_id"], round(float(c["start_time"]), 2)) for c in clips_data]
|
||||
assert new_pairs != source_pairs, f"reselect 片段应与源 plan 不同,实际相同: {new_pairs}"
|
||||
# 素材全部来自素材池(源 a1-a4 ∪ 批次 a5-a6)
|
||||
for c in clips_data:
|
||||
assert c["asset_id"] in durations
|
||||
|
||||
def test_record_used_segments_called_per_clip(self, svc_with_source):
|
||||
"""每个新片段区间调用 record_used_segments 写回(跨变体/跨任务避让链路)。"""
|
||||
import random
|
||||
|
||||
svc, source = svc_with_source
|
||||
durations = {"a1": 300.0, "a2": 300.0, "a3": 300.0, "a4": 300.0, "a5": 300.0}
|
||||
|
||||
asset_models = []
|
||||
for aid in durations:
|
||||
m = MagicMock(id=aid)
|
||||
m.duration = durations[aid]
|
||||
m.metadata = None
|
||||
asset_models.append(m)
|
||||
svc._clip_repo.session.query.return_value.filter.return_value.all.return_value = asset_models
|
||||
|
||||
started = [
|
||||
patch("app.services.edit_plan_service.get_used_segments", return_value={}).start(),
|
||||
patch("packages.domain.plan_generator_utils.extract_scene_points_from_metadata", return_value=[]).start(),
|
||||
patch("packages.adapters.sqlalchemy_impl.models.AssetModel", create=True).start(),
|
||||
patch.object(svc, "replace_all_clips_transactional", return_value=4).start(),
|
||||
]
|
||||
mock_record = patch("app.services.edit_plan_service.record_used_segments", return_value=None).start()
|
||||
try:
|
||||
svc.reselect_plan_for_variant(
|
||||
source.id, ["a5"], created_by_user_id="u-1", name_suffix="批量2", rng=random.Random(5)
|
||||
)
|
||||
finally:
|
||||
patch.stopall()
|
||||
|
||||
assert mock_record.call_count == 4, "4 个片段应各写一次 used_segment"
|
||||
for call in mock_record.call_args_list:
|
||||
args = call.args
|
||||
assert args[1] in durations, f"asset_id {args[1]} 不在素材池" # asset_id
|
||||
assert args[3] > args[2], "区间 end 应大于 start" # end > start
|
||||
assert args[4], "new plan_id 应非空"
|
||||
|
||||
def test_source_clips_seed_batch_avoidance(self, svc_with_source):
|
||||
"""源 plan 片段区间进入批次避让集:与源完全同区间的起点重叠率应超限被避开。"""
|
||||
import random
|
||||
|
||||
svc, source = svc_with_source
|
||||
# 素材池只有源素材(极端小池),时长充足
|
||||
durations = {"a1": 600.0, "a2": 600.0, "a3": 600.0, "a4": 600.0}
|
||||
patches, mock_replace = _patch_deps(svc, durations)
|
||||
try:
|
||||
new_plan = svc.reselect_plan_for_variant(
|
||||
source.id, [], created_by_user_id="u-1", name_suffix="批量2", rng=random.Random(99)
|
||||
)
|
||||
finally:
|
||||
for p in reversed(patches):
|
||||
p.stop()
|
||||
|
||||
clips_data = mock_replace.call_args.args[1]
|
||||
source_clips = svc._clip_repo.list_by_plan(source.id)
|
||||
source_by_asset = {}
|
||||
for c in source_clips:
|
||||
source_by_asset.setdefault(c.asset_id, []).append(
|
||||
(float(c.start_time), float(c.start_time) + float(c.duration))
|
||||
)
|
||||
|
||||
# 同素材新片段与源区间的重叠占比均 ≤20%
|
||||
from packages.domain.variant_plan_selector import _clip_overlap_ratio
|
||||
|
||||
for c in clips_data:
|
||||
ratio = _clip_overlap_ratio(c["asset_id"], float(c["start_time"]), float(c["duration"]), source_by_asset)
|
||||
assert (
|
||||
ratio <= 0.20 + 1e-6
|
||||
), f"变体片段与源 plan 同素材区间重叠超限: asset={c['asset_id']} ratio={ratio:.2%}"
|
||||
assert new_plan.id != source.id
|
||||
|
||||
def test_source_plan_without_clips_raises(self):
|
||||
"""源 plan 无片段 → ValueError(明确报错,不产出同源变体)。"""
|
||||
svc = _make_service()
|
||||
svc._clip_repo.session = MagicMock()
|
||||
empty = svc.create_plan(template_id="tpl-x", name="空计划")
|
||||
|
||||
with pytest.raises(ValueError, match="源 plan 无片段"):
|
||||
svc.reselect_plan_for_variant(empty.id, ["a1"], created_by_user_id="u-1", name_suffix="变体")
|
||||
|
||||
def test_missing_source_plan_raises(self):
|
||||
"""源 plan 不存在 → get_plan_or_raise 抛错。"""
|
||||
svc = _make_service()
|
||||
svc._clip_repo.session = MagicMock()
|
||||
with pytest.raises((ValueError, KeyError, LookupError)): # get_plan_or_raise 抛错
|
||||
svc.reselect_plan_for_variant("not-exist-plan", ["a1"], created_by_user_id="u-1", name_suffix="变体")
|
||||
@@ -1,5 +1,6 @@
|
||||
"""Tests for packages/domain/smart_match.py — 统一智能选素材算法。"""
|
||||
|
||||
import random
|
||||
from dataclasses import dataclass, field
|
||||
from datetime import datetime, timedelta, timezone
|
||||
from typing import Any
|
||||
@@ -7,6 +8,7 @@ from typing import Any
|
||||
import pytest
|
||||
|
||||
from packages.domain.smart_match import (
|
||||
SCORE_RANDOM_NOISE_MAX,
|
||||
SmartMatchResult,
|
||||
_diversity_select,
|
||||
_duration_bucket,
|
||||
@@ -46,6 +48,22 @@ class FakeAsset:
|
||||
NOW = datetime(2026, 8, 5, 12, 0, 0, tzinfo=timezone.utc)
|
||||
|
||||
|
||||
class _ZeroNoiseRandom(random.Random):
|
||||
"""零噪声随机源:uniform(0, NOISE_MAX) 恒返回 0,使「按评分降序」类断言确定可复现。
|
||||
|
||||
smart_select_assets 生产环境注入随机噪声(同分素材每次选出不同组合,#1743);
|
||||
验证纯评分排序的单测用本随机源消除排序随机性。
|
||||
"""
|
||||
|
||||
def uniform(self, a, b):
|
||||
if a == 0.0 and b == SCORE_RANDOM_NOISE_MAX:
|
||||
return 0.0
|
||||
return super().uniform(a, b)
|
||||
|
||||
|
||||
_ZERO_NOISE = _ZeroNoiseRandom(0)
|
||||
|
||||
|
||||
# ── score_asset tests ────────────────────────────────────────────────────────
|
||||
|
||||
|
||||
@@ -185,7 +203,7 @@ class TestSmartSelectAssets:
|
||||
FakeAsset(id="high", quality_score=95, duration=15),
|
||||
FakeAsset(id="mid", quality_score=60, duration=15),
|
||||
]
|
||||
results = smart_select_assets(assets)
|
||||
results = smart_select_assets(assets, rng=_ZERO_NOISE)
|
||||
scores = [r.score for r in results]
|
||||
assert scores == sorted(scores, reverse=True)
|
||||
assert results[0].asset.id == "high"
|
||||
@@ -234,7 +252,7 @@ class TestSmartSelectAssets:
|
||||
FakeAsset(id="img1", mime_type="image/jpeg", quality_score=90, duration=None),
|
||||
FakeAsset(id="img2", mime_type="image/png", quality_score=70, duration=None),
|
||||
]
|
||||
results = smart_select_assets(assets, kind="image")
|
||||
results = smart_select_assets(assets, kind="image", rng=_ZERO_NOISE)
|
||||
assert len(results) == 2
|
||||
assert results[0].asset.id == "img1"
|
||||
|
||||
|
||||
@@ -155,7 +155,9 @@ class TestSmartMatchAvailabilityFallback:
|
||||
project = Project(id="proj-1", name="Test", owner_user_id="user-1")
|
||||
assets = [
|
||||
_video_asset("top-exhausted.mp4", quality=100, used_ranges=_exhausted_ranges(15)),
|
||||
_video_asset("second-fresh.mp4", quality=40, used_ranges=None),
|
||||
# second 质量分显著高于 third(质量项差 (90-30)*0.4=24 > 噪声上限 20),
|
||||
# 排除耗尽素材后 second 稳定排首位回补(噪声不影响大分差排名)
|
||||
_video_asset("second-fresh.mp4", quality=90, used_ranges=None),
|
||||
_video_asset("third-fresh.mp4", quality=30, used_ranges=None),
|
||||
]
|
||||
repo = _StubAssetRepo(assets)
|
||||
|
||||
@@ -9,6 +9,7 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import os
|
||||
import random
|
||||
import sys
|
||||
from dataclasses import dataclass, field
|
||||
from datetime import datetime, timezone
|
||||
@@ -41,6 +42,18 @@ class FakeAsset:
|
||||
file_type: str = "video"
|
||||
|
||||
|
||||
class _ZeroNoiseRandom(random.Random):
|
||||
"""零噪声随机源:uniform(0, NOISE_MAX) 恒返回 0,消除排序随机性;
|
||||
其他随机调用(非噪声区间)保持正常随机行为。"""
|
||||
|
||||
def uniform(self, a, b):
|
||||
from packages.domain.smart_match import SCORE_RANDOM_NOISE_MAX
|
||||
|
||||
if a == 0.0 and b == SCORE_RANDOM_NOISE_MAX:
|
||||
return 0.0
|
||||
return super().uniform(a, b)
|
||||
|
||||
|
||||
def _asset_with_use_count(asset_id: str, use_count: int) -> FakeAsset:
|
||||
"""创建指定使用次数的素材,其他维度保持一致。"""
|
||||
return FakeAsset(
|
||||
@@ -112,25 +125,25 @@ class TestSmartSelectAssetsOrdering:
|
||||
"""验证 smart_select_assets 返回结果按评分降序。"""
|
||||
|
||||
def test_less_used_assets_ranked_higher(self):
|
||||
"""使用次数少的素材在结果中排名更高。"""
|
||||
"""使用次数少的素材在结果中排名更高(注入零噪声 rng 验证纯评分排序)。"""
|
||||
assets = [
|
||||
_asset_with_use_count("heavily_used", 10),
|
||||
_asset_with_use_count("never_used", 0),
|
||||
_asset_with_use_count("lightly_used", 2),
|
||||
]
|
||||
results = smart_select_assets(assets)
|
||||
results = smart_select_assets(assets, rng=_ZeroNoiseRandom())
|
||||
ids = [r.asset.id for r in results]
|
||||
# never_used 排第一,heavily_used 排最后
|
||||
assert ids[0] == "never_used"
|
||||
assert ids[-1] == "heavily_used"
|
||||
|
||||
def test_same_quality_different_use_count(self):
|
||||
"""质量相同时,使用次数少的排名更高。"""
|
||||
"""质量相同时,使用次数少的排名更高(注入零噪声 rng)。"""
|
||||
assets = [
|
||||
_asset_with_use_count("used_5", 5),
|
||||
_asset_with_use_count("used_0", 0),
|
||||
]
|
||||
results = smart_select_assets(assets)
|
||||
results = smart_select_assets(assets, rng=_ZeroNoiseRandom())
|
||||
assert results[0].asset.id == "used_0"
|
||||
assert results[1].asset.id == "used_5"
|
||||
|
||||
@@ -158,22 +171,47 @@ def _make_auth_user():
|
||||
return auth
|
||||
|
||||
|
||||
def _make_zero_noise_patcher(module):
|
||||
"""构造 patch(module.random.uniform):噪声调用(上界=SCORE_RANDOM_NOISE_MAX)返回 0。
|
||||
class _ZeroNoiseCtx:
|
||||
"""同时 patch module.random.uniform(排序噪声归零)与 module.random.shuffle
|
||||
(排序后的素材洗牌保持原序),使「按评分排序」类断言确定可复现。
|
||||
|
||||
其他 uniform 调用(如片段时长随机)委托给一个独立的 Random 实例,
|
||||
避免递归回已 patch 的全局函数。
|
||||
生产环境排序噪声与 shuffle 都是降重随机的一部分;测试需要验证纯评分
|
||||
排序时用本上下文消除随机性。其他 uniform 调用(片段时长随机等)委托给
|
||||
独立 Random 实例,避免递归回已 patch 的全局函数。
|
||||
"""
|
||||
import random as _stdlib_random
|
||||
|
||||
_fallback = _stdlib_random.Random()
|
||||
def __init__(self, module):
|
||||
import random as _stdlib_random
|
||||
|
||||
def _fake_uniform(a, b):
|
||||
if b == SCORE_RANDOM_NOISE_MAX:
|
||||
return 0.0
|
||||
return _fallback.uniform(a, b)
|
||||
self._module = module
|
||||
self._fallback = _stdlib_random.Random()
|
||||
self._patches = []
|
||||
|
||||
return patch.object(module.random, "uniform", _fake_uniform)
|
||||
def __enter__(self):
|
||||
import random as _stdlib_random
|
||||
|
||||
def _fake_uniform(a, b):
|
||||
if b == SCORE_RANDOM_NOISE_MAX:
|
||||
return 0.0
|
||||
return self._fallback.uniform(a, b)
|
||||
|
||||
def _no_shuffle(seq):
|
||||
return None # 保持原序,不洗牌
|
||||
|
||||
self._patches = [
|
||||
patch.object(self._module.random, "uniform", _fake_uniform).start(),
|
||||
patch.object(self._module.random, "shuffle", _no_shuffle).start(),
|
||||
]
|
||||
return self
|
||||
|
||||
def __exit__(self, *exc):
|
||||
patch.stopall()
|
||||
return False
|
||||
|
||||
|
||||
def _make_zero_noise_patcher(module):
|
||||
"""构造零噪声上下文(uniform 噪声归零 + shuffle 保持原序)。"""
|
||||
return _ZeroNoiseCtx(module)
|
||||
|
||||
|
||||
def _patch_zero_noise_clips():
|
||||
|
||||
@@ -0,0 +1,134 @@
|
||||
"""#1743 smart-match 排序随机噪声测试。
|
||||
|
||||
smart_select_assets 排序注入 0~SCORE_RANDOM_NOISE_MAX 随机噪声后:
|
||||
- 同分/近分素材每次调用选出的组合与顺序不同(修复"每次只选同样几个素材")
|
||||
- 分差 > 噪声上限的高质量素材保持稳定优先级
|
||||
- r.score 始终为无噪声原始分;噪声只影响排序
|
||||
- 同一次调用内排序与多样性分桶使用一致噪声(结果稳定可复现)
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import random
|
||||
import sys
|
||||
from dataclasses import dataclass, field
|
||||
from datetime import datetime, timezone
|
||||
from pathlib import Path
|
||||
|
||||
REPO_ROOT = Path(__file__).resolve().parents[2]
|
||||
for sub in ("packages",):
|
||||
p = str(REPO_ROOT / sub)
|
||||
if p not in sys.path:
|
||||
sys.path.insert(0, p)
|
||||
|
||||
from packages.domain.smart_match import ( # noqa: E402
|
||||
SCORE_RANDOM_NOISE_MAX,
|
||||
score_asset,
|
||||
smart_select_assets,
|
||||
)
|
||||
|
||||
NOW = datetime(2026, 9, 6, 12, 0, 0, tzinfo=timezone.utc)
|
||||
|
||||
|
||||
@dataclass
|
||||
class FakeAsset:
|
||||
id: str
|
||||
duration: float = 15.0
|
||||
quality_score: float | None = None # None → 按 50 计,模拟 staging 真实情况
|
||||
status: str = "ready"
|
||||
metadata: dict = field(default_factory=dict)
|
||||
created_at: datetime = NOW
|
||||
|
||||
@property
|
||||
def file_type(self) -> str:
|
||||
return "video"
|
||||
|
||||
|
||||
def _make_tied_assets(n: int) -> list[FakeAsset]:
|
||||
"""构造 n 个综合得分完全相同的素材(quality NULL 按 50 + 时长 15s 满分 + 同创建时间)。"""
|
||||
return [FakeAsset(id=f"a{i}", duration=15.0, quality_score=None) for i in range(n)]
|
||||
|
||||
|
||||
class TestScoreNoiseInjection:
|
||||
def test_tied_assets_same_raw_score(self):
|
||||
"""前置校验:同分素材原始得分确实一致。"""
|
||||
assets = _make_tied_assets(6)
|
||||
scores = {score_asset(a, now=NOW)[0] for a in assets}
|
||||
assert len(scores) == 1, f"测试前提不成立:同分素材得分不一致 {scores}"
|
||||
|
||||
def test_tied_assets_order_varies_across_calls(self):
|
||||
"""同分素材:不同随机种子选出的顺序/组合不同(核心修复点)。"""
|
||||
orderings = set()
|
||||
for seed in range(8):
|
||||
results = smart_select_assets(_make_tied_assets(8), rng=random.Random(seed))
|
||||
orderings.add(tuple(r.asset.id for r in results))
|
||||
# 8 个不同种子应产生多种不同排序(若零随机噪声则只有 1 种)
|
||||
assert len(orderings) >= 4, f"同分素材排序几乎不变: {len(orderings)} 种"
|
||||
|
||||
def test_tied_assets_top_n_varies_with_limit(self):
|
||||
"""同分素材 + limit 截断:不同种子选出的 Top-N 组合不同。"""
|
||||
top_sets = set()
|
||||
for seed in range(10):
|
||||
results = smart_select_assets(_make_tied_assets(10), limit=3, rng=random.Random(seed))
|
||||
top_sets.add(frozenset(r.asset.id for r in results))
|
||||
assert len(top_sets) >= 4, f"Top-N 组合几乎不变: {len(top_sets)} 种"
|
||||
|
||||
def test_large_score_gap_keeps_priority(self):
|
||||
"""分差 > 噪声上限(20)时:低质素材即使噪声拉满也排不到高质素材前面。"""
|
||||
# 高质:quality=100 → quality_component=40;低质:quality=0 → 0,仅质量项就差 40 分
|
||||
high = [FakeAsset(id="high", quality_score=100, duration=15.0)]
|
||||
low = [FakeAsset(id=f"low{i}", quality_score=0, duration=15.0) for i in range(6)]
|
||||
for seed in range(20):
|
||||
results = smart_select_assets(high + low, limit=3, rng=random.Random(seed))
|
||||
assert results[0].asset.id == "high", f"seed={seed} 低质素材靠噪声排到首位"
|
||||
|
||||
def test_score_field_is_raw_without_noise(self):
|
||||
"""r.score 始终是无噪声原始分(噪声只影响排序,不污染返回分值)。"""
|
||||
assets = _make_tied_assets(5)
|
||||
raw_scores = {score_asset(a, now=NOW)[0] for a in assets}
|
||||
results = smart_select_assets(assets, rng=random.Random(42))
|
||||
for r in results:
|
||||
assert r.score in raw_scores
|
||||
|
||||
def test_rng_deterministic_same_seed(self):
|
||||
"""同一种子多次调用结果完全一致(可复现,测试可依赖)。"""
|
||||
run = lambda: tuple( # noqa: E731
|
||||
r.asset.id for r in smart_select_assets(_make_tied_assets(8), rng=random.Random(123))
|
||||
)
|
||||
assert run() == run()
|
||||
|
||||
def test_diversity_bucket_respects_noise(self):
|
||||
"""多样性分桶路径(候选数 > limit):同分素材跨种子入选组合不同。"""
|
||||
# 构造短/中/长三档同分素材各 4 个,limit=6 触发分桶轮询
|
||||
assets = []
|
||||
for i in range(4):
|
||||
assets.append(FakeAsset(id=f"short{i}", duration=6.0))
|
||||
for i in range(4):
|
||||
assets.append(FakeAsset(id=f"med{i}", duration=15.0))
|
||||
for i in range(4):
|
||||
assets.append(FakeAsset(id=f"long{i}", duration=45.0))
|
||||
# 同档内时长接近 → 得分接近
|
||||
combos = set()
|
||||
for seed in range(10):
|
||||
results = smart_select_assets(assets, limit=6, rng=random.Random(seed))
|
||||
combos.add(frozenset(r.asset.id for r in results))
|
||||
assert len(combos) >= 3, f"分桶选取组合几乎不变: {len(combos)} 种"
|
||||
|
||||
def test_noise_constant_matches_from_assets(self):
|
||||
"""噪声上限与 from-assets 片段分配的 SCORE_RANDOM_NOISE_MAX 同源(20 分)。"""
|
||||
assert SCORE_RANDOM_NOISE_MAX == 20.0
|
||||
|
||||
def test_returns_all_when_no_limit(self):
|
||||
"""无 limit 时返回全部候选(噪声只改顺序,不丢素材)。"""
|
||||
assets = _make_tied_assets(7)
|
||||
results = smart_select_assets(assets, rng=random.Random(1))
|
||||
assert len(results) == 7
|
||||
assert {r.asset.id for r in results} == {a.id for a in assets}
|
||||
|
||||
def test_non_ready_assets_excluded_before_noise(self):
|
||||
"""非 ready 素材不参与排序(噪声不影响状态过滤)。"""
|
||||
assets = _make_tied_assets(4)
|
||||
assets[0].status = "processing"
|
||||
results = smart_select_assets(assets, rng=random.Random(1))
|
||||
assert all(r.asset.status == "ready" for r in results)
|
||||
assert len(results) == 3
|
||||
@@ -51,6 +51,7 @@ def test_generation_cleans_up_temp_dir():
|
||||
assert "rmtree(render_temp_dir" in source, "generation.py 应清理 render_temp_dir"
|
||||
|
||||
# 验证清理发生在上传之后(通过查找顺序)
|
||||
upload_pos = source.find("_upload_and_record")
|
||||
# #1743:_upload_and_record 拆分为 _upload_rendered_video(仅 OSS 上传)
|
||||
upload_pos = source.find("_upload_rendered_video")
|
||||
cleanup_pos = source.find("rmtree(render_temp_dir")
|
||||
assert upload_pos > 0 and cleanup_pos > upload_pos, "清理临时目录应在 _upload_and_record 之后执行"
|
||||
assert upload_pos > 0 and cleanup_pos > upload_pos, "清理临时目录应在 _upload_rendered_video 之后执行"
|
||||
|
||||
@@ -0,0 +1,271 @@
|
||||
"""#1743 批量变体独立选片纯核心测试(packages/domain/variant_plan_selector.py)。
|
||||
|
||||
覆盖:
|
||||
- 固定种子下 N 次独立选片:素材组合/片段顺序/起点显著不同(降重核心)
|
||||
- 批次内同素材区间重叠 >20% 触发避让重选
|
||||
- 异常输入:空源片段/空素材池/时长全 0 → ValueError(严禁退回同源)
|
||||
- 非 main 片段(intro/outro/overlay)保留源骨架素材,仅重算起点
|
||||
- 跨变体 batch_segments 就地累加(串行选片天然避让)
|
||||
- 文案/转场/速度等骨架字段透传
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import random
|
||||
import sys
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch
|
||||
|
||||
import pytest
|
||||
|
||||
REPO_ROOT = Path(__file__).resolve().parents[2]
|
||||
for sub in ("packages", ""):
|
||||
p = str(REPO_ROOT / sub) if sub else str(REPO_ROOT)
|
||||
if p not in sys.path:
|
||||
sys.path.insert(0, p)
|
||||
|
||||
from packages.domain import variant_plan_selector as vps # noqa: E402
|
||||
from packages.domain.variant_plan_selector import ( # noqa: E402
|
||||
BATCH_CLIP_OVERLAP_LIMIT,
|
||||
_clip_overlap_ratio,
|
||||
reselect_clips_for_variant,
|
||||
)
|
||||
|
||||
|
||||
def _source_clips(assets=("a1", "a2", "a3"), dur=5.0, with_non_main=False):
|
||||
"""构造源片段骨架:main 片段若干,可选 intro/outro 固定角色片段。"""
|
||||
clips = []
|
||||
order = 0
|
||||
if with_non_main:
|
||||
clips.append(
|
||||
{
|
||||
"order": order,
|
||||
"asset_id": "intro_asset",
|
||||
"start_time": 0.0,
|
||||
"duration": 3.0,
|
||||
"clip_type": "intro",
|
||||
"playback_speed": 1.0,
|
||||
"transition_effect": "fade",
|
||||
"transition_duration": 0.5,
|
||||
"text_content": "片头",
|
||||
"config": {"role": "intro"},
|
||||
}
|
||||
)
|
||||
order += 1
|
||||
for i, aid in enumerate(assets):
|
||||
clips.append(
|
||||
{
|
||||
"order": order,
|
||||
"asset_id": aid,
|
||||
"start_time": float(i * 10),
|
||||
"duration": dur,
|
||||
"clip_type": "main",
|
||||
"playback_speed": 1.2,
|
||||
"transition_effect": "cut",
|
||||
"transition_duration": 0.0,
|
||||
"text_content": f"文案{i}",
|
||||
"config": {},
|
||||
}
|
||||
)
|
||||
order += 1
|
||||
if with_non_main:
|
||||
clips.append(
|
||||
{
|
||||
"order": order,
|
||||
"asset_id": "outro_asset",
|
||||
"start_time": 0.0,
|
||||
"duration": 2.0,
|
||||
"clip_type": "outro",
|
||||
"playback_speed": 1.0,
|
||||
"transition_effect": "fade",
|
||||
"transition_duration": 0.5,
|
||||
"text_content": "片尾",
|
||||
"config": {"role": "outro"},
|
||||
}
|
||||
)
|
||||
return clips
|
||||
|
||||
|
||||
def _durations(asset_ids, total=120.0, extra=None):
|
||||
d = {a: total for a in asset_ids}
|
||||
if extra:
|
||||
d.update(extra)
|
||||
return d
|
||||
|
||||
|
||||
class TestReselectClipsValidation:
|
||||
def test_empty_source_clips_raises(self):
|
||||
with pytest.raises(ValueError, match="源 plan 无片段"):
|
||||
reselect_clips_for_variant(
|
||||
[],
|
||||
["a1"],
|
||||
asset_durations={"a1": 60.0},
|
||||
rng=random.Random(1),
|
||||
)
|
||||
|
||||
def test_empty_asset_pool_raises(self):
|
||||
with pytest.raises(ValueError, match="素材池为空"):
|
||||
reselect_clips_for_variant(
|
||||
_source_clips(),
|
||||
[],
|
||||
asset_durations={},
|
||||
rng=random.Random(1),
|
||||
)
|
||||
|
||||
def test_all_zero_duration_raises(self):
|
||||
with pytest.raises(ValueError, match="时长全部未知"):
|
||||
reselect_clips_for_variant(
|
||||
_source_clips(),
|
||||
["a1", "a2"],
|
||||
asset_durations={"a1": 0.0, "a2": 0.0},
|
||||
rng=random.Random(1),
|
||||
)
|
||||
|
||||
|
||||
class TestReselectClipsDifferentiation:
|
||||
def test_three_variants_differ_in_assets_order_and_starts(self):
|
||||
"""核心验收:固定种子连续 3 次独立选片,素材组合/顺序/起点显著不同。"""
|
||||
source = _source_clips(assets=("a1", "a2", "a3", "a4"))
|
||||
pool = ["a1", "a2", "a3", "a4", "a5", "a6"]
|
||||
durations = _durations(pool, total=300.0)
|
||||
|
||||
batch_segments: dict = {}
|
||||
variants = []
|
||||
for seed in range(3):
|
||||
clips = reselect_clips_for_variant(
|
||||
source,
|
||||
pool,
|
||||
asset_durations=durations,
|
||||
batch_segments=batch_segments, # 串行调用:上一变体区间参与避让
|
||||
rng=random.Random(100 + seed),
|
||||
)
|
||||
variants.append(clips)
|
||||
|
||||
main_sequences = []
|
||||
for clips in variants:
|
||||
main = [c for c in clips if c["clip_type"] == "main"]
|
||||
main_sequences.append([(c["asset_id"], round(c["start_time"], 2)) for c in main])
|
||||
|
||||
# 1) 每个变体片段数与源骨架一致
|
||||
for clips in variants:
|
||||
main_clips = [c for c in clips if c["clip_type"] == "main"]
|
||||
assert len(main_clips) == 4
|
||||
|
||||
# 2) 三个变体的素材序列不全相同(素材洗牌 + main 顺序洗牌生效)
|
||||
seq_sets = {tuple(a for a, _ in seq) for seq in main_sequences}
|
||||
assert len(seq_sets) >= 2, f"变体素材序列应存在差异,实际全部相同: {seq_sets}"
|
||||
|
||||
# 3) 起点组合不全相同(起点重选生效)
|
||||
start_sets = {tuple(s for _, s in seq) for seq in main_sequences}
|
||||
assert len(start_sets) >= 2, f"变体起点组合应存在差异,实际全部相同: {start_sets}"
|
||||
|
||||
# 4) batch_segments 跨变体累加(串行避让链路存在)
|
||||
total_segments = sum(len(v) for v in batch_segments.values())
|
||||
assert total_segments >= 12, f"3 变体 × 4 main 片段应累加 >=12 区间,实际 {total_segments}"
|
||||
|
||||
def test_skeleton_fields_preserved(self):
|
||||
"""文案/转场/速度等骨架字段随片段透传(只换素材与起点)。"""
|
||||
source = _source_clips(assets=("a1", "a2"), with_non_main=True)
|
||||
pool = ["a1", "a2", "a3"]
|
||||
durations = _durations(pool, total=120.0, extra={"intro_asset": 30.0, "outro_asset": 30.0})
|
||||
|
||||
clips = reselect_clips_for_variant(
|
||||
source,
|
||||
pool,
|
||||
asset_durations=durations,
|
||||
rng=random.Random(7),
|
||||
)
|
||||
by_order = {c["order"]: c for c in clips}
|
||||
|
||||
# intro/outro 骨架字段保留
|
||||
intro = next(c for c in clips if c["clip_type"] == "intro")
|
||||
outro = next(c for c in clips if c["clip_type"] == "outro")
|
||||
assert intro["asset_id"] == "intro_asset"
|
||||
assert intro["text_content"] == "片头"
|
||||
assert intro["transition_effect"] == "fade"
|
||||
assert intro["transition_duration"] == 0.5
|
||||
assert outro["asset_id"] == "outro_asset"
|
||||
assert outro["text_content"] == "片尾"
|
||||
|
||||
# main 片段文案/速度随骨架 order 保留
|
||||
for c in clips:
|
||||
if c["clip_type"] == "main":
|
||||
assert c["playback_speed"] == 1.2
|
||||
assert c["text_content"].startswith("文案")
|
||||
|
||||
|
||||
class TestBatchOverlapAvoidance:
|
||||
def test_overlap_ratio_calculation(self):
|
||||
segs = {"a1": [(10.0, 20.0)]} # 已占 10s 区间
|
||||
# 新区间 [10,20) 完全重叠 → 1.0
|
||||
assert _clip_overlap_ratio("a1", 10.0, 10.0, segs) == pytest.approx(1.0)
|
||||
# 新区间 [20,30) 零重叠 → 0.0
|
||||
assert _clip_overlap_ratio("a1", 20.0, 10.0, segs) == pytest.approx(0.0)
|
||||
# 新区间 [15,25) 重叠 5s / 10s → 0.5
|
||||
assert _clip_overlap_ratio("a1", 15.0, 10.0, segs) == pytest.approx(0.5)
|
||||
# 空 asset / 零时长 → 0
|
||||
assert _clip_overlap_ratio("", 0.0, 10.0, segs) == 0.0
|
||||
assert _clip_overlap_ratio("a1", 10.0, 0.0, segs) == 0.0
|
||||
|
||||
def test_over_limit_triggers_reselect_to_non_overlapping(self):
|
||||
"""批次已占满素材前段时,避让重选应把起点挪到重叠 ≤20% 的位置。"""
|
||||
source = _source_clips(assets=("a1",), dur=10.0)
|
||||
durations = {"a1": 120.0}
|
||||
# 批次已选区间:a1 [0, 100) 几乎占满前段
|
||||
batch_segments = {"a1": [(0.0, 100.0)]}
|
||||
|
||||
# _resolve_start_time 第一次返回高重叠起点(2.0),之后 rng 抖动应找到低重叠位置
|
||||
call_count = {"n": 0}
|
||||
|
||||
def fake_resolve(asset_id, clip_duration, asset_durations, used_segments, scene_points=None, on_exhausted=None):
|
||||
call_count["n"] += 1
|
||||
return 2.0 if call_count["n"] == 1 else None # 后续回退 rng.uniform
|
||||
|
||||
with patch.object(vps, "_resolve_start_time", side_effect=fake_resolve):
|
||||
# rng.uniform 返回 105.0(与 [0,100) 零重叠);rng 是 random.Random 实例,
|
||||
# 需 patch 类方法 uniform 才能生效
|
||||
with patch.object(random.Random, "uniform", return_value=105.0):
|
||||
clips = reselect_clips_for_variant(
|
||||
source,
|
||||
["a1"],
|
||||
asset_durations=durations,
|
||||
batch_segments=batch_segments,
|
||||
rng=random.Random(3),
|
||||
)
|
||||
|
||||
main = [c for c in clips if c["clip_type"] == "main"]
|
||||
assert len(main) == 1
|
||||
ratio = _clip_overlap_ratio("a1", main[0]["start_time"], 10.0, {"a1": [(0.0, 100.0)]})
|
||||
assert ratio <= BATCH_CLIP_OVERLAP_LIMIT, f"避让后重叠应 ≤20%,实际 {ratio:.2%}"
|
||||
assert main[0]["start_time"] == pytest.approx(105.0, abs=0.01)
|
||||
|
||||
def test_first_variant_segments_become_avoidance_target(self):
|
||||
"""变体 0 选定区间后,变体 1 选同素材时批次区间生效(不与源区间完全重合)。"""
|
||||
source = _source_clips(assets=("a1", "a2"), dur=8.0)
|
||||
pool = ["a1", "a2", "a3"]
|
||||
durations = _durations(pool, total=600.0)
|
||||
|
||||
batch_segments: dict = {}
|
||||
v1 = reselect_clips_for_variant(
|
||||
source, pool, asset_durations=durations, batch_segments=batch_segments, rng=random.Random(11)
|
||||
)
|
||||
v1_main = [(c["asset_id"], c["start_time"], c["duration"]) for c in v1 if c["clip_type"] == "main"]
|
||||
|
||||
# 快照 v1 之后的批次避让集(v2 调用会就地追加 v2 自身区间,断言必须用调用前快照)
|
||||
import copy
|
||||
|
||||
batch_snapshot = copy.deepcopy(batch_segments)
|
||||
|
||||
v2 = reselect_clips_for_variant(
|
||||
source, pool, asset_durations=durations, batch_segments=batch_segments, rng=random.Random(12)
|
||||
)
|
||||
# v2 与 v1(快照)同素材片段的区间重叠占比均 ≤20%
|
||||
for c in v2:
|
||||
if c["clip_type"] != "main" or not c["asset_id"]:
|
||||
continue
|
||||
ratio = _clip_overlap_ratio(c["asset_id"], c["start_time"], c["duration"], batch_snapshot)
|
||||
assert (
|
||||
ratio <= BATCH_CLIP_OVERLAP_LIMIT + 1e-6
|
||||
), f"变体间片段重叠超限: asset={c['asset_id']} start={c['start_time']} ratio={ratio:.2%}"
|
||||
# v1 片段确实进入了批次避让集
|
||||
assert any(a in batch_segments for a, _, _ in v1_main)
|
||||
@@ -60,7 +60,8 @@ class TestWechatSyncRequest:
|
||||
assert WechatSyncRequest(openid="o1", unionid=" unionid_456 ").unionid == "unionid_456"
|
||||
|
||||
def test_default_nickname(self):
|
||||
assert WechatSyncRequest(openid="o1").nickname == "微信用户"
|
||||
# 微信新规拿不到真实昵称,新用户统一默认"小虾同学"
|
||||
assert WechatSyncRequest(openid="o1").nickname == "小虾同学"
|
||||
|
||||
def test_default_source(self):
|
||||
assert WechatSyncRequest(openid="o1").source == "miniapp"
|
||||
@@ -319,3 +320,78 @@ class TestWechatSyncSession:
|
||||
assert kw["user_id"] == "user_001"
|
||||
assert "wechat_miniapp" in kw["device_info"]
|
||||
assert kw["expires_in_seconds"] == 30 * 24 * 3600
|
||||
|
||||
|
||||
class TestWechatSyncNicknameRules:
|
||||
"""昵称规则:默认昵称、登录不覆盖存量昵称、中文昵称全链路无损。"""
|
||||
|
||||
def test_existing_user_display_name_never_overwritten_on_login(self, mock_user_repo, mock_session_store):
|
||||
"""守护规则:已存在用户登录时,即使请求带了别的 nickname,
|
||||
其 display_name 也绝不能被覆盖(只有建号时写入)。"""
|
||||
user = User(
|
||||
id="user_custom",
|
||||
email="c@wechat.local",
|
||||
username="wx_custom",
|
||||
display_name="我的专属昵称",
|
||||
password_hash="h",
|
||||
email_verified=True,
|
||||
wechat_openid="openid_123",
|
||||
wechat_unionid="unionid_456",
|
||||
)
|
||||
mock_user_repo.find_by_wechat_openid.return_value = user
|
||||
mock_user_repo.find_by_wechat_unionid.return_value = user
|
||||
|
||||
resp, err = make_use_case(mock_user_repo, mock_session_store).execute(
|
||||
WechatSyncRequest(
|
||||
openid="openid_123",
|
||||
unionid="unionid_456",
|
||||
nickname="小虾同学", # 请求里带的任何昵称都不准覆盖
|
||||
)
|
||||
)
|
||||
assert err is None
|
||||
assert resp.is_new_user is False
|
||||
# 数据层用户昵称不变
|
||||
assert user.display_name == "我的专属昵称"
|
||||
# 返回给调用方的昵称也是存量昵称
|
||||
assert resp.nickname == "我的专属昵称"
|
||||
# save 的都是同一个用户对象,且 display_name 未被改写
|
||||
for call in mock_user_repo.save.call_args_list:
|
||||
assert call.args[0].display_name == "我的专属昵称"
|
||||
|
||||
def test_new_user_gets_default_nickname_when_nickname_empty(self, mock_user_repo, mock_session_store):
|
||||
"""新用户且请求未带昵称(微信新规场景)→ 默认昵称小虾同学。"""
|
||||
saved = {}
|
||||
mock_user_repo.save.side_effect = lambda u: saved.update({u.id: u})
|
||||
resp, err = make_use_case(mock_user_repo, mock_session_store).execute(
|
||||
WechatSyncRequest(openid="new_oid_default", unionid="new_uid_default", nickname="")
|
||||
)
|
||||
assert err is None
|
||||
assert resp.is_new_user is True
|
||||
u = saved[resp.user_id]
|
||||
assert u.display_name == "小虾同学"
|
||||
assert resp.nickname == "小虾同学"
|
||||
|
||||
def test_chinese_nickname_full_chain_no_mojibake(self, mock_user_repo, mock_session_store):
|
||||
"""中文昵称全链路无损:建号写入 → 仓储对象 → 响应返回,
|
||||
不允许出现 latin-1/utf-8 双重编码乱码(如 \u00e8\u0080\u0081 一类)。"""
|
||||
chinese_name = "老字号🏮肩腰腿🏮御众堂永康店"
|
||||
saved = {}
|
||||
mock_user_repo.save.side_effect = lambda u: saved.update({u.id: u})
|
||||
|
||||
resp, err = make_use_case(mock_user_repo, mock_session_store).execute(
|
||||
WechatSyncRequest(
|
||||
openid="new_oid_cn",
|
||||
unionid="new_uid_cn",
|
||||
nickname=chinese_name,
|
||||
)
|
||||
)
|
||||
assert err is None
|
||||
u = saved[resp.user_id]
|
||||
# 写入仓储对象的昵称必须与原文完全一致
|
||||
assert u.display_name == chinese_name
|
||||
assert resp.nickname == chinese_name
|
||||
assert resp.to_dict()["user"]["display_name"] == chinese_name
|
||||
assert resp.to_dict()["user_info"]["display_name"] == chinese_name
|
||||
# 乱码特征:双重编码后必然出现Ã/\u00c2 拼音字母或控制字符
|
||||
assert "\u00c3" not in u.display_name and "\u00c2" not in u.display_name
|
||||
assert "\u00e8" not in u.display_name
|
||||
|
||||
Reference in New Issue
Block a user