from datetime import datetime from fastapi import APIRouter, Body, Depends, HTTPException, Path, Query from sqlalchemy import select from sqlalchemy.exc import IntegrityError from sqlalchemy.ext.asyncio import AsyncSession from app.dependencies import get_current_user, get_db from app.models.chat_generation_task import ChatGenerationTask from app.models.user import User from app.schemas.generation_ai import ( GenerationAIEngineOptionsOut, GenerationAIHistoryBatchDeleteOut, GenerationAIHistoryBatchDeleteRequest, GenerationAIHistoryDayItemsOut, GenerationAIHistoryGroupedOut, GenerationAIRetryOut, GenerationAITaskDeleteOut, GenerationAITaskCreate, GenerationAITaskListOut, GenerationAITaskOut, ) from app.services.generation.ai.service import ( build_task_out_list, list_generation_ai_engine_options, list_async_generation_tasks, list_generation_history_day_items, list_generation_history_grouped_days, ) from app.enums.generation_task import ChatGenerationPipelineStage, ChatGenerationTaskStatus, GenerationMode from app.services.generation.ai.task_create_service import ( GenerationTaskCreateResult, create_generation_task_group, enqueue_created_generation_tasks, find_existing_top_level_task, ) from app.services.generation.ai.task_group_service import ( aggregate_main_task_status, load_children_map, soft_delete_child_task, soft_delete_top_level_task_group, ) from app.services.generation.billing_service import ( OWNER_CHAT_GENERATION_TASK, charge_generation_media_by_params, get_next_credit_attempt_no, ) from app.services.generation.history_delete_service import batch_delete_generation_history_items from app.services.generation.log_service import log_task_event from app.services.resource_capacity_service import assert_user_resource_capacity_available from app.services.operation_log_service import log_operation_event from app.tasks.celery_app import celery_app router = APIRouter( prefix="/generation-ai", tags=["generation-ai"], ) @router.get( "/engines", response_model=GenerationAIEngineOptionsOut, summary="获取AI图片/视频可用引擎列表", description=( "获取当前启用状态的图片生成引擎和视频生成引擎。" "返回格式为 engine.image 和 engine.video 两个数组。" "前端创建 /generation-ai/tasks 任务时，可以把对应引擎 id 作为 engine_id 传入。" "该接口只返回前端需要展示和选择的模型能力信息，不返回 api_key 等敏感配置。" ), responses={ 200: { "description": "查询成功，返回当前启用的图片/视频生成引擎列表", "content": { "application/json": { "example": { "engine": { "image": [ { "id": "image_engine_xxx", "name": "豆包文生图", "provider": "ark", "model_name": "doubao-seedream-5-0-260128", "supported_models": ["doubao-seedream-5-0-260128"], "supported_sizes": { "2K": { "1:1": "2048x2048", "16:9": "2560x1440", } }, "default_size": "2K", "priority": 10, } ], "video": [ { "id": "video_engine_xxx", "name": "Seedance 2.0", "provider": "ark", "model_name": "doubao-seedance-2-0-260128", "supported_ratios": ["16:9", "4:3", "1:1", "3:4", "9:16", "21:9"], "supported_resolutions": ["480p", "720p", "1080p"], "supported_durations": [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "max_duration": 15, "priority": 10, "supports_first_last_frame": False, "supports_universal_reference": False, } ], } } } }, }, 401: { "description": "未登录或 Token 无效", }, }, ) async def list_engines( current_user: User = Depends(get_current_user), db: AsyncSession = Depends(get_db), ): return await list_generation_ai_engine_options(db) @router.post( "/tasks", response_model=GenerationAITaskOut, summary="创建AI图片/视频生成任务", description=( "创建一个项目无关的AI生成任务。" "该接口用于 Chat 风格的图片/视频生成，不再绑定 project_id。" "创建成功后会写入 chat_generation_tasks 表，并投递 Celery 异步任务。" "支持 image 图片生成和 video 视频生成。" "media_references 支持 image/video/audio；source 可为 upload_resource=历史上传素材、" "private_portrait_asset=私域真人/虚拟素材、空=本次普通上传素材。" "视频/音频参考素材必须携带 duration，并按 AI 创作原逻辑校验单段 2~15 秒、总时长不超过 15 秒。" "建议前端传入 idempotency_key，用于防止按钮连点、网络重试导致重复创建任务和重复扣费。" ), responses={ 200: { "description": "任务创建成功，返回任务详情", }, 400: { "description": "请求参数错误，例如 gen_type 不支持、图片尺寸不支持、视频参数不支持等", }, 401: { "description": "未登录或 Token 无效", }, 503: { "description": "Celery 未启用或消息队列未配置", }, }, ) async def create_task( req: GenerationAITaskCreate = Body( ..., description=( "AI生成任务创建参数。gen_type=image 时使用图片参数；gen_type=video 时使用视频参数。" "generation_count 为客户端本次选择的生成数量，默认1，后端会按引擎开关和数量上限校验。" "枚举：gen_type=image/video；media_references[].type=image/video/audio；" "media_references[].source=upload_resource/private_portrait_asset/空；" "media_references[].role=first_frame/last_frame/reference_image/reference_video/reference_audio。" ), ), current_user: User = Depends(get_current_user), db: AsyncSession = Depends(get_db), ): if celery_app is None: raise HTTPException(status_code=503, detail="Celery未启用：请配置 REDIS_URL 或 CELERY_BROKER_URL 后启动 worker") try: create_result = await create_generation_task_group(db, current_user, req) top_level_task_id = str(create_result.top_level_task_id) enqueue_task_ids = list(create_result.enqueue_task_ids) await db.commit() except IntegrityError: # 并发重复请求可能同时通过预查询；唯一索引负责兜底。 # 回滚本次任务和计费后，按幂等键返回已经成功提交的顶层任务。 await db.rollback() existing = await find_existing_top_level_task( db, user_id=current_user.id, idempotency_key=req.idempotency_key, ) if not existing: raise create_result = GenerationTaskCreateResult( top_level_task_id=str(existing.id), generation_count=int(existing.generation_count or 1), gen_type=str(existing.gen_type), created=False, ) top_level_task_id = str(existing.id) enqueue_task_ids = [] if create_result.created: log_operation_event( domain="generation_ai_batch", event_type="BATCH_COMMIT_SUCCESS", event_status="success", source="api", user_id=current_user.id, group_id=top_level_task_id, task_id=top_level_task_id, detail={ "gen_type": create_result.gen_type, "generation_count": create_result.generation_count, "child_task_ids": create_result.child_task_ids, "physical_files_deleted": False, }, ) await log_task_event( task_id=top_level_task_id, event_type=( "TASK_CREATED" if create_result.created else "IDEMPOTENCY_HIT" ), to_status="generating" if create_result.created else None, to_stage="queued" if create_result.created else None, detail={ "gen_type": create_result.gen_type, "generation_count": create_result.generation_count, "child_task_ids": create_result.child_task_ids, "created": create_result.created, }, ) failed_enqueue_ids: list[str] = [] if create_result.created and enqueue_task_ids: failed_enqueue_ids = await enqueue_created_generation_tasks( db, task_ids=enqueue_task_ids, ) result = await db.execute( select(ChatGenerationTask).where( ChatGenerationTask.id == top_level_task_id, ChatGenerationTask.user_id == current_user.id, ChatGenerationTask.deleted_at.is_(None), ).limit(1) ) task = result.scalar_one_or_none() if not task: raise HTTPException(status_code=404, detail="任务创建后未找到") output = await build_task_out_list( db, [task], viewer_user_id=current_user.id, ) if failed_enqueue_ids and len(failed_enqueue_ids) == len(enqueue_task_ids): raise HTTPException(status_code=503, detail="任务已创建，但任务队列投递失败，请稍后重试") return output[0] @router.get( "/tasks", response_model=GenerationAITaskListOut, summary="获取AI生成任务列表", description=( "分页获取当前登录用户的AI生成任务列表。" "可按生成类型 gen_type 和任务状态 status 过滤。" "该接口返回的是普通任务列表，不按日期分组。" "如果前端需要按生成日期分组展示生成历史记录，请使用 /generation-ai/history 接口。" "上传素材历史不是生成历史，请使用 /upload-resources/history。" ), responses={ 200: { "description": "查询成功，返回任务总数和当前分页任务列表", }, 401: { "description": "未登录或 Token 无效", }, }, ) async def list_tasks( gen_type: str | None = Query( None, description="生成类型筛选：image=图片任务，video=视频任务；为空表示不过滤生成类型", examples=["image"], ), status: str | None = Query( None, description=( "任务状态筛选。常见值：generating=生成中，completed=已完成，failed=失败；" "为空表示不过滤状态" ), examples=["completed"], ), page: int = Query( 1, ge=1, description="分页页码，从1开始", examples=[1], ), page_size: int = Query( 20, ge=1, le=100, description="每页返回数量，范围 1~100", examples=[20], ), user_id: str | None = Query( None, description="查询相关用户ID的对应记录[管理后台]", examples=["0019e0a448a23114888"], ), user_name: str | None = Query( None, description="查询相关用户名的对应记录[管理后台]", examples=["demo"], ), engine_id: str | None = Query( None, description="按引擎ID筛选[管理后台]", examples=["0019e1697667d0eff39"], ), created_start: datetime | None = Query( None, description="创建时间起始（含），ISO 格式，例如 2026-07-03T00:00:00", examples=["2026-07-03T00:00:00"], ), created_end: datetime | None = Query( None, description="创建时间截止（含），ISO 格式，例如 2026-07-03T23:59:59", examples=["2026-07-03T23:59:59"], ), current_user: User = Depends(get_current_user), db: AsyncSession = Depends(get_db), ): is_admin = current_user.user_type == "admin" if not is_admin: user_id = current_user.id total, items = await list_async_generation_tasks( db, user_id, user_name, gen_type, status, page, page_size, is_admin, engine_id=engine_id, created_start=created_start, created_end=created_end, ) # 同一个 API 同时服务管理后台和客户端： # - 管理员保持数据库倒序，最新记录在列表上方； # - 普通用户先查询最新一页，再仅反转当前页，聊天消息从旧到新排列。 items_for_output = items if is_admin else list(reversed(items)) out_items = await build_task_out_list( db, items_for_output, is_admin=is_admin, viewer_user_id=None if is_admin else current_user.id, ) return GenerationAITaskListOut(total=total, items=out_items) @router.get( "/history", response_model=GenerationAIHistoryGroupedOut, summary="获取AI生成历史日期分组", description=( "按生成完成日期倒序返回当前用户的AI生成历史记录。" "默认查询 chat_generation_tasks / ChatGenerationTask 的 AI创作历史。" "history_source=chat_task 时查询 AI创作；" "history_source=hot_opening_replicate 时查询爆款开头复刻生成素材；" "history_source=shot_replicate 时查询拆镜复刻生成素材；" "history_source=generation_record 时查询 generation_records / GenerationRecord 旧项目生成历史。" "该接口只返回生成成功的任务，即 status=completed 且 generated_at 不为空的数据。" "必须通过 gen_type 区分图片和视频。" "分页对象是生成日期，不是单条记录。" "每页最多返回10个生成日期分组，每个日期分组内最多返回该日期下倒序前10条生成记录。" "每条历史记录会返回 generated_resource_id，表示 generated_resources.id；历史脏数据可能为空。" "如果某一天 total 大于10，前端可调用 /generation-ai/history/{generated_date} 加载该日期下的后续分页数据。" ), responses={ 200: { "description": "查询成功，返回按生成日期分组的历史记录", }, 400: { "description": "参数错误，例如 gen_type 不是 image 或 video，或 history_source 不支持", }, 401: { "description": "未登录或 Token 无效", }, }, ) async def list_history_grouped_days( gen_type: str = Query( ..., description="生成类型：image=图片历史，video=视频历史", examples=["image"], ), page: int = Query( 1, ge=1, description="日期分组分页页码，从1开始。注意：这里分页的是生成日期，不是单条生成记录", examples=[1], ), page_size: int = Query( 10, ge=1, le=10, description="每页返回的生成日期数量，范围 1~10，最大只能获取10天", examples=[10], ), history_source: str | None = Query( None, description=( "历史数据来源。默认不传或传 chat_task 查询 AI创作；" "传 generation_record 查询旧项目生成；" "传 hot_opening_replicate 查询爆款开头复刻素材；" "传 shot_replicate 查询拆镜复刻素材" ), examples=["shot_replicate"], ), keyword: str | None = Query( None, description="提示词搜索关键词，模糊匹配 original_prompt 字段", examples=["猫咪"], ), current_user: User = Depends(get_current_user), db: AsyncSession = Depends(get_db), ): return await list_generation_history_grouped_days( db=db, user_id=current_user.id, gen_type=gen_type, page=page, page_size=page_size, history_source=history_source, keyword=keyword, ) @router.delete( "/history/batch", response_model=GenerationAIHistoryBatchDeleteOut, summary="批量删除素材云历史记录", description=( "按 history_source 批量软删除素材云历史记录，单次最多30条。" "generation_record 和 chat_task 入参 ids 为对应记录ID，且只有生成完成后才能删除；" "hot_opening_replicate 入参 ids 为 module_project_id；" "shot_replicate 入参 ids 为 shot_segment_id。" "爆款开头复刻和拆镜复刻会联动软删 ModuleGenerationProject、ModuleGenerationStep、关联 ChatGenerationTask 和 generated_resources；" "拆镜复刻还会联动软删 ShotReplicateSegment。" "如果存在生成中、轮询中、下载中等任务，接口直接拦截，不做失败标记、不退款。" ), responses={ 200: { "description": "批量软删除成功", }, 400: { "description": "参数错误，例如 history_source 不支持、ids 为空、超过30条或重复", }, 401: { "description": "未登录或 Token 无效", }, 404: { "description": "部分 ID 不存在、不属于当前用户或已删除", }, 409: { "description": "存在未完成或生成中的记录，当前不能删除", }, }, ) async def batch_delete_history_items( req: GenerationAIHistoryBatchDeleteRequest = Body( ..., description="素材云历史批量删除参数。不同 history_source 对应不同 ID 语义，详见字段说明", ), current_user: User = Depends(get_current_user), db: AsyncSession = Depends(get_db), ): return await batch_delete_generation_history_items( db=db, current_user=current_user, history_source=req.history_source, ids=req.ids, ) @router.get( "/history/{generated_date}", response_model=GenerationAIHistoryDayItemsOut, summary="获取指定日期下的AI生成历史分页", description=( "获取某一个生成日期下的生成成功记录分页。" "默认查询 chat_generation_tasks / ChatGenerationTask 的 AI创作历史。" "history_source=chat_task 时查询 AI创作；" "history_source=hot_opening_replicate 时查询爆款开头复刻生成素材；" "history_source=shot_replicate 时查询拆镜复刻生成素材；" "history_source=generation_record 时查询 generation_records / GenerationRecord 旧项目生成历史。" "该接口用于前端在历史分组列表中继续加载某一天的后续记录。" "例如 /history 接口中某一天 total=18，但 items 只返回前10条，" "则前端可以调用本接口 page=2&page_size=10 获取该日期下剩余记录。" "每条历史记录会返回 generated_resource_id，表示 generated_resources.id；历史脏数据可能为空。" "该接口同样必须通过 gen_type 区分图片和视频。" ), responses={ 200: { "description": "查询成功，返回指定日期下的历史记录分页", }, 400: { "description": "参数错误，例如 generated_date 格式不是 YYYY-MM-DD，gen_type 不合法，或 history_source 不支持", }, 401: { "description": "未登录或 Token 无效", }, }, ) async def list_history_day_items( generated_date: str = Path( ..., description="生成日期，格式：YYYY-MM-DD，例如：2026-05-27", examples=["2026-05-27"], ), gen_type: str = Query( ..., description="生成类型：image=图片历史，video=视频历史", examples=["image"], ), page: int = Query( 1, ge=1, description="当前日期下的记录分页页码，从1开始", examples=[1], ), page_size: int = Query( 10, ge=1, le=100, description="当前日期下每页返回的生成记录数量，范围 1~100", examples=[10], ), history_source: str | None = Query( None, description=( "历史数据来源。默认不传或传 chat_task 查询 AI创作；" "传 generation_record 查询旧项目生成；" "传 hot_opening_replicate 查询爆款开头复刻素材；" "传 shot_replicate 查询拆镜复刻素材" ), examples=["hot_opening_replicate"], ), keyword: str | None = Query( None, description="提示词搜索关键词，模糊匹配 original_prompt 字段", examples=["猫咪"], ), current_user: User = Depends(get_current_user), db: AsyncSession = Depends(get_db), ): return await list_generation_history_day_items( db=db, user_id=current_user.id, gen_type=gen_type, generated_date=generated_date, page=page, page_size=page_size, history_source=history_source, keyword=keyword, ) @router.get( "/tasks/{task_id}", response_model=GenerationAITaskOut, summary="获取AI生成任务详情", description=( "根据任务ID获取当前登录用户的AI生成任务详情。" "支持 chatapi_async、chatapi_main 和未删除的 chatapi_child。" "查询 chatapi_main 时返回按 generation_index 升序排列的 child_items。" "已软删除 child 只在父任务 child_items 中保留槽位，不能通过 child ID 单独查询。" ), responses={ 200: { "description": "查询成功，返回任务详情", }, 401: { "description": "未登录或 Token 无效", }, 404: { "description": "任务不存在，或任务不属于当前用户", }, }, ) async def get_task( task_id: str = Path( ..., description="AI生成任务ID", examples=["0019e0a44895b6d837d"], ), current_user: User = Depends(get_current_user), db: AsyncSession = Depends(get_db), ): result = await db.execute( select(ChatGenerationTask).where( ChatGenerationTask.id == task_id, ChatGenerationTask.user_id == current_user.id, ).limit(1) ) task = result.scalar_one_or_none() if not task: raise HTTPException(status_code=404, detail="任务不存在") if task.deleted_at is not None: raise HTTPException(status_code=404, detail="任务不存在") output = await build_task_out_list( db, [task], viewer_user_id=current_user.id, ) return output[0] @router.delete( "/tasks/{task_id}", response_model=GenerationAITaskDeleteOut, summary="删除AI生成任务", description=( "软删除当前登录用户自己的AI生成任务。" "该接口不会物理删除数据库记录和本地文件，只会设置 deleted_at，后续列表、详情、历史统计默认不再返回。" "删除已完成任务时会联动软删 generated_resources 资源账本，并重新扣减用户有效资源空间统计。" "如果任务仍处于 generating 生成中状态，接口会直接拦截，不允许删除。" ), responses={ 200: { "description": "软删除成功，返回任务ID和本次释放的资源空间字节数", }, 400: { "description": "任务正在生成中，暂不能删除", }, 401: { "description": "未登录或 Token 无效", }, 404: { "description": "任务不存在，或任务不属于当前用户，或任务已经被删除", }, }, ) async def delete_task( task_id: str = Path( ..., description="需要删除的AI生成任务ID", examples=["0019e0a44895b6d837d"], ), current_user: User = Depends(get_current_user), db: AsyncSession = Depends(get_db), ): mode_result = await db.execute( select(ChatGenerationTask.generation_mode).where( ChatGenerationTask.id == task_id, ChatGenerationTask.user_id == current_user.id, ).limit(1) ) generation_mode = mode_result.scalar_one_or_none() if generation_mode == GenerationMode.CHATAPI_CHILD.value: freed_size_bytes = await soft_delete_child_task( db, child_task_id=task_id, user_id=current_user.id, ) else: freed_size_bytes = await soft_delete_top_level_task_group( db, task_id=task_id, user_id=current_user.id, ) await db.commit() return GenerationAITaskDeleteOut( message="任务已删除", task_id=task_id, deleted=True, freed_size_bytes=freed_size_bytes, ) @router.post( "/tasks/{task_id}/retry", response_model=GenerationAIRetryOut, summary="重试失败的AI生成任务", description=( "重新投递一个失败的AI生成任务。" "只有 status=failed 的任务允许重试。" "重试次数超过3次后不允许继续重试。" "后端会根据任务当前数据自动判断应从哪个流水线阶段恢复，" "例如重新优化提示词、重新创建第三方任务、继续轮询远程结果或重新下载结果。" ), responses={ 200: { "description": "任务重新投递成功", }, 400: { "description": "任务状态不允许重试，或已超过最大重试次数", }, 401: { "description": "未登录或 Token 无效", }, 404: { "description": "任务不存在，或任务不属于当前用户", }, 503: { "description": "Celery 未启用或消息队列未配置", }, }, ) async def retry_task( task_id: str = Path( ..., description="需要重试的AI生成任务ID", examples=["0019e0a44895b6d837d"], ), current_user: User = Depends(get_current_user), db: AsyncSession = Depends(get_db), ): if celery_app is None: raise HTTPException(status_code=503, detail="Celery未启用：请配置 REDIS_URL 或 CELERY_BROKER_URL 后启动 worker") result = await db.execute( select(ChatGenerationTask).where( ChatGenerationTask.id == task_id, ChatGenerationTask.user_id == current_user.id, ChatGenerationTask.deleted_at.is_(None), ).with_for_update().limit(1) ) task = result.scalar_one_or_none() if not task: raise HTTPException(status_code=404, detail="任务不存在") retry_targets: list[ChatGenerationTask] retrying_group_children = False if task.generation_mode == GenerationMode.CHATAPI_MAIN.value: children_map = await load_children_map(db, [task.id], include_deleted=False) children = children_map.get(task.id, []) if task.gen_type == "video": retry_targets = [ child for child in children if child.status == ChatGenerationTaskStatus.FAILED.value ] retrying_group_children = True if not retry_targets: raise HTTPException(status_code=400, detail="当前视频任务组没有可重试的失败子任务") elif children: # 图片供应商全部成功后才会拆子任务；已有子任务时只允许重试下载， # 不能再次扣费并覆盖原有生成序号。 retry_targets = [ child for child in children if child.status == ChatGenerationTaskStatus.FAILED.value and child.pipeline_stage == ChatGenerationPipelineStage.DOWNLOAD_FAILED.value and bool(child.remote_result_url) ] retrying_group_children = True if not retry_targets: raise HTTPException(status_code=400, detail="当前图片任务组没有可重试的下载失败子任务") else: # 图片批次在供应商阶段整批失败时尚未创建子任务，可整批重新生成并重新计费。 if task.status != ChatGenerationTaskStatus.FAILED.value: raise HTTPException(status_code=400, detail="只有失败任务可以重试") retry_targets = [task] else: if task.status != ChatGenerationTaskStatus.FAILED.value: raise HTTPException(status_code=400, detail="只有失败任务可以重试") retry_targets = [task] upscale_failed_ids = [ str(target.id) for target in retry_targets if target.pipeline_stage == ChatGenerationPipelineStage.UPSCALE_FAILED.value ] if upscale_failed_ids: raise HTTPException( status_code=409, detail={ "message": "画质增强失败任务不能通过普通生成重试，请由管理员使用视频超分恢复命令处理", "task_ids": upscale_failed_ids, }, ) await assert_user_resource_capacity_available(db, current_user.id) enqueue_ids: list[str] = [] download_retry_ids: list[str] = [] for target in retry_targets: if int(target.retry_count or 0) >= 3: raise HTTPException(status_code=400, detail=f"任务 {target.id} 已超过最大重试次数") is_download_retry = bool( target.remote_result_url and target.pipeline_stage == ChatGenerationPipelineStage.DOWNLOAD_FAILED.value ) if not is_download_retry: attempt_no = await get_next_credit_attempt_no( db, owner_type=OWNER_CHAT_GENERATION_TASK, owner_id=target.id, ) quantity = int(target.generation_count or 1) if ( target.generation_mode == GenerationMode.CHATAPI_MAIN.value and target.gen_type == "image" ) else 1 media_billing = await charge_generation_media_by_params( db, user_id=target.user_id, record_id=target.id, gen_type=target.gen_type, image_size=target.image_size, duration=target.duration, resolution=target.resolution, engine_id=target.engine_id, project_name="AI生成任务", description_prefix="Chat任务重试", owner_type=OWNER_CHAT_GENERATION_TASK, attempt_no=attempt_no, quantity=quantity, ) target.credits_cost = round(float(target.credits_cost or 0) + media_billing.total_charged, 2) target.provider_task_id = None target.seedance_task_id = None target.remote_result_url = None target.provider_response_json = None target.provider_create_claim_token = None target.provider_create_lease_until = None target.provider_create_started_at = None target.image_url = None target.video_url = None target.video_cover_url = None target.pipeline_stage = ChatGenerationPipelineStage.QUEUED.value enqueue_ids.append(str(target.id)) else: target.pipeline_stage = ChatGenerationPipelineStage.RESULT_READY.value download_retry_ids.append(str(target.id)) target.status = ChatGenerationTaskStatus.GENERATING.value target.error_message = None target.poll_count = 0 target.last_poll_at = None target.generated_at = None target.retry_count = int(target.retry_count or 0) + 1 if retrying_group_children: await db.flush() await aggregate_main_task_status(db, parent_task_id=str(task.id)) refreshed_task_id = str(task.id) await db.commit() failed_enqueue_ids = await enqueue_created_generation_tasks(db, task_ids=enqueue_ids) if enqueue_ids else [] failed_download_enqueue_ids: list[str] = [] if download_retry_ids: from app.tasks.generation_download_tasks import enqueue_download_task for target_id in download_retry_ids: target_result = await db.execute( select(ChatGenerationTask).where( ChatGenerationTask.id == target_id, ChatGenerationTask.deleted_at.is_(None), ).limit(1) ) target = target_result.scalar_one_or_none() if not target or not await enqueue_download_task(db, target, recover=True, reason="manual_retry"): failed_download_enqueue_ids.append(target_id) requested_enqueue_count = len(enqueue_ids) + len(download_retry_ids) failed_total_count = len(failed_enqueue_ids) + len(failed_download_enqueue_ids) if requested_enqueue_count and failed_total_count == requested_enqueue_count: raise HTTPException(status_code=503, detail="任务状态已重置，但任务队列投递全部失败，将由恢复任务继续处理") refreshed = await db.execute( select(ChatGenerationTask).where(ChatGenerationTask.id == refreshed_task_id).limit(1) ) refreshed_task = refreshed.scalar_one_or_none() if not refreshed_task: raise HTTPException(status_code=404, detail="任务不存在") return GenerationAIRetryOut( id=refreshed_task.id, status=refreshed_task.status, pipeline_stage=refreshed_task.pipeline_stage, message=( f"请求重试 {len(retry_targets)} 个任务，成功投递 {max(0, requested_enqueue_count - failed_total_count)} 个，" f"投递失败 {failed_total_count} 个" ), )