738 lines
27 KiB
Python
738 lines
27 KiB
Python
from datetime import datetime, timezone
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from fastapi import APIRouter, Body, Depends, HTTPException, Path, Query
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from sqlalchemy import and_, select
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.dependencies import get_current_user, get_db
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from app.models.chat_generation_task import ChatGenerationTask
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from app.models.user import User
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from app.schemas.generation_ai import (
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GenerationAIEngineOptionsOut,
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GenerationAIHistoryBatchDeleteOut,
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GenerationAIHistoryBatchDeleteRequest,
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GenerationAIHistoryDayItemsOut,
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GenerationAIHistoryGroupedOut,
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GenerationAIRetryOut,
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GenerationAITaskDeleteOut,
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GenerationAITaskCreate,
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GenerationAITaskListOut,
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GenerationAITaskOut,
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)
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from app.services.generation_ai_service import (
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create_async_generation_task,
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list_generation_ai_engine_options,
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list_async_generation_tasks,
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list_generation_history_day_items,
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list_generation_history_grouped_days,
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record_to_out,
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soft_delete_chat_generation_task,
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)
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from app.services.generation_billing_service import (
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OWNER_CHAT_GENERATION_TASK,
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charge_generation_media_by_params,
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get_next_credit_attempt_no,
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)
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from app.services.generation_history_delete_service import batch_delete_generation_history_items
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from app.services.generation_log_service import log_task_event
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from app.services.generation_refund_service import mark_chat_generation_task_failed_and_refund_once
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from app.services.private_portrait.reference_resolver import batch_resolve_private_portrait_reference_display_urls, resolve_private_portrait_reference_display_urls
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from app.services.resource_capacity_service import assert_user_resource_capacity_available
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from app.tasks.celery_app import celery_app
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router = APIRouter(
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prefix="/generation-ai",
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tags=["generation-ai"],
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)
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@router.get(
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"/engines",
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response_model=GenerationAIEngineOptionsOut,
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summary="获取AI图片/视频可用引擎列表",
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description=(
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"获取当前启用状态的图片生成引擎和视频生成引擎。"
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"返回格式为 engine.image 和 engine.video 两个数组。"
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"前端创建 /generation-ai/tasks 任务时，可以把对应引擎 id 作为 engine_id 传入。"
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"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。"
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),
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responses={
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200: {
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"description": "查询成功，返回当前启用的图片/视频生成引擎列表",
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"content": {
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"application/json": {
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"example": {
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"engine": {
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"image": [
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{
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"id": "image_engine_xxx",
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"name": "豆包文生图",
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"provider": "ark",
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"model_name": "doubao-seedream-5-0-260128",
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"supported_models": ["doubao-seedream-5-0-260128"],
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"supported_sizes": {
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"2K": {
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"1:1": "2048x2048",
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"16:9": "2560x1440",
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}
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},
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"default_size": "2K",
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"priority": 10,
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}
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],
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"video": [
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{
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"id": "video_engine_xxx",
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"name": "Seedance 2.0",
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"provider": "ark",
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"model_name": "doubao-seedance-2-0-260128",
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"supported_ratios": ["16:9", "4:3", "1:1", "3:4", "9:16", "21:9"],
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"supported_resolutions": ["480p", "720p", "1080p"],
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"supported_durations": [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15],
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"max_duration": 15,
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"priority": 10,
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"supports_first_last_frame": False,
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"supports_universal_reference": False,
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}
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],
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}
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}
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}
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},
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},
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401: {
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"description": "未登录或 Token 无效",
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},
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},
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)
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async def list_engines(
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current_user: User = Depends(get_current_user),
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db: AsyncSession = Depends(get_db),
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):
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return await list_generation_ai_engine_options(db)
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@router.post(
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"/tasks",
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response_model=GenerationAITaskOut,
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summary="创建AI图片/视频生成任务",
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description=(
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"创建一个项目无关的AI生成任务。"
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"该接口用于 Chat 风格的图片/视频生成，不再绑定 project_id。"
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"创建成功后会写入 chat_generation_tasks 表，并投递 Celery 异步任务。"
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"支持 image 图片生成和 video 视频生成。"
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"media_references 支持 image/video/audio；source 可为 upload_resource=历史上传素材、"
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"private_portrait_asset=私域真人/虚拟素材、空=本次普通上传素材。"
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"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。"
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"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。"
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),
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responses={
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200: {
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"description": "任务创建成功，返回任务详情",
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},
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400: {
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"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",
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},
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401: {
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"description": "未登录或 Token 无效",
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},
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503: {
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"description": "Celery 未启用或消息队列未配置",
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},
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},
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)
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async def create_task(
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req: GenerationAITaskCreate = Body(
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...,
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description=(
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"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。"
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"枚举：gen_type=image/video；media_references[].type=image/video/audio；"
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"media_references[].source=upload_resource/private_portrait_asset/空；"
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"media_references[].role=first_frame/last_frame/reference_image/reference_video/reference_audio。"
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),
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),
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current_user: User = Depends(get_current_user),
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db: AsyncSession = Depends(get_db),
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):
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if celery_app is None:
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raise HTTPException(status_code=503, detail="Celery未启用：请配置 REDIS_URL 或 CELERY_BROKER_URL 后启动 worker")
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task = await create_async_generation_task(db, current_user, req)
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await db.commit()
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await log_task_event(
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task,
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event_type="TASK_CREATED",
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to_status="generating",
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to_stage="queued",
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detail={"gen_type": task.gen_type},
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)
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from app.tasks.generation_create_tasks import chatapi_create_generation_task
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try:
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chatapi_create_generation_task.delay(task.id)
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except Exception as exc:
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await mark_chat_generation_task_failed_and_refund_once(
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db,
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task_id=task.id,
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error_message=f"任务队列投递失败: {exc}",
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pipeline_stage="failed",
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)
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await db.commit()
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raise HTTPException(status_code=503, detail="任务队列投递失败，请稍后重试")
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refs = await resolve_private_portrait_reference_display_urls(db, record_to_out(task).media_references, user_id=current_user.id)
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return record_to_out(task, media_references=refs)
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@router.get(
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"/tasks",
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response_model=GenerationAITaskListOut,
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summary="获取AI生成任务列表",
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description=(
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"分页获取当前登录用户的AI生成任务列表。"
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"可按生成类型 gen_type 和任务状态 status 过滤。"
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"该接口返回的是普通任务列表，不按日期分组。"
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"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。"
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"上传素材历史不是生成历史，请使用 /upload-resources/history。"
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),
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responses={
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200: {
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"description": "查询成功，返回任务总数和当前分页任务列表",
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},
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401: {
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"description": "未登录或 Token 无效",
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},
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},
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)
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async def list_tasks(
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gen_type: str | None = Query(
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None,
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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",
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examples=["image"],
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),
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status: str | None = Query(
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None,
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description=(
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"任务状态筛选。常见值：generating=生成中，completed=已完成，failed=失败；"
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"为空表示不过滤状态"
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),
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examples=["completed"],
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),
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page: int = Query(
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1,
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ge=1,
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description="分页页码，从1开始",
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||
examples=[1],
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),
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page_size: int = Query(
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20,
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ge=1,
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le=100,
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||
description="每页返回数量，范围 1~100",
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examples=[20],
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),
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||
user_id: str | None = Query(
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||
None,
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||
description="查询相关用户ID的对应记录[管理后台]",
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||
examples=["0019e0a448a23114888"],
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),
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user_name: str | None = Query(
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None,
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||
description="查询相关用户名的对应记录[管理后台]",
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||
examples=["demo"],
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||
),
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engine_id: str | None = Query(
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None,
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||
description="按引擎ID筛选[管理后台]",
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||
examples=["0019e1697667d0eff39"],
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||
),
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created_start: datetime | None = Query(
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||
None,
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||
description="创建时间起始（含），ISO 格式，例如 2026-07-03T00:00:00",
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||
examples=["2026-07-03T00:00:00"],
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),
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||
created_end: datetime | None = Query(
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||
None,
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||
description="创建时间截止（含），ISO 格式，例如 2026-07-03T23:59:59",
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||
examples=["2026-07-03T23:59:59"],
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||
),
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||
current_user: User = Depends(get_current_user),
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||
db: AsyncSession = Depends(get_db),
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||
):
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||
is_admin = False
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||
if current_user.user_type == 'admin':
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||
is_admin = True
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||
else:
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||
user_id = current_user.id
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||
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||
total, items = await list_async_generation_tasks(
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db,
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user_id,
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||
user_name,
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||
gen_type,
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||
status,
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||
page,
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||
page_size,
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||
is_admin,
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||
engine_id=engine_id,
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||
created_start=created_start,
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||
created_end=created_end,
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||
)
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||
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||
# ====================== 在这里加排序（最新在前）======================
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if not is_admin:
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# 按 created_at 降序（没有则用 id 降序）
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||
items_sorted = sorted(
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||
items,
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||
key=lambda x: x.created_at if x.created_at is not None else x.id,
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||
reverse=False # 升序
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||
)
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||
else:
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||
items_sorted = items
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||
refs_map = await batch_resolve_private_portrait_reference_display_urls(
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||
db,
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||
{item.id: record_to_out(task=item, is_admin=is_admin).media_references for item in items_sorted},
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||
user_id=None if is_admin else current_user.id,
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)
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return GenerationAITaskListOut(total=total, items=[record_to_out(task=i, is_admin=is_admin, media_references=refs_map.get(i.id)) for i in items_sorted])
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||
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||
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||
@router.get(
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||
"/history",
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||
response_model=GenerationAIHistoryGroupedOut,
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||
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。"
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||
"history_source=chat_task 时查询 AI创作；"
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||
"history_source=hot_opening_replicate 时查询爆款开头复刻生成素材；"
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||
"history_source=shot_replicate 时查询拆镜复刻生成素材；"
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||
"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。"
|
||
"只能查询当前用户自己的任务，且只查询 generation_mode=chatapi_async 的任务。"
|
||
"如果任务不存在或不属于当前用户，返回404。"
|
||
),
|
||
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,
|
||
ChatGenerationTask.generation_mode == "chatapi_async",
|
||
ChatGenerationTask.deleted_at.is_(None),
|
||
)
|
||
.limit(1)
|
||
)
|
||
task = result.scalar_one_or_none()
|
||
if not task:
|
||
raise HTTPException(status_code=404, detail="任务不存在")
|
||
refs = await resolve_private_portrait_reference_display_urls(db, record_to_out(task).media_references, user_id=current_user.id)
|
||
return record_to_out(task, media_references=refs)
|
||
|
||
|
||
@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),
|
||
):
|
||
result = await db.execute(
|
||
select(ChatGenerationTask).where(
|
||
ChatGenerationTask.id == task_id,
|
||
ChatGenerationTask.user_id == current_user.id,
|
||
ChatGenerationTask.generation_mode == "chatapi_async",
|
||
ChatGenerationTask.deleted_at.is_(None),
|
||
)
|
||
.limit(1)
|
||
)
|
||
task = result.scalar_one_or_none()
|
||
if not task:
|
||
raise HTTPException(status_code=404, detail="任务不存在")
|
||
|
||
if task.status == "generating":
|
||
raise HTTPException(status_code=400, detail="当前任务正在生成中，暂不能删除")
|
||
|
||
deleted_at = datetime.now(timezone.utc)
|
||
freed_size_bytes = await soft_delete_chat_generation_task(
|
||
db,
|
||
task=task,
|
||
deleted_at=deleted_at,
|
||
)
|
||
await db.flush()
|
||
|
||
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.generation_mode == "chatapi_async",
|
||
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")
|
||
if task.status != "failed":
|
||
raise HTTPException(status_code=400, detail="只有失败任务可以重试")
|
||
|
||
await assert_user_resource_capacity_available(db, current_user.id)
|
||
|
||
attempt_no = await get_next_credit_attempt_no(
|
||
db,
|
||
owner_type=OWNER_CHAT_GENERATION_TASK,
|
||
owner_id=task.id,
|
||
)
|
||
media_billing = await charge_generation_media_by_params(
|
||
db,
|
||
user_id=task.user_id,
|
||
record_id=task.id,
|
||
gen_type=task.gen_type,
|
||
image_size=task.image_size,
|
||
duration=task.duration,
|
||
resolution=task.resolution,
|
||
engine_id=task.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,
|
||
)
|
||
|
||
task.status = "generating"
|
||
task.pipeline_stage = "queued"
|
||
task.error_message = None
|
||
task.poll_count = 0
|
||
task.last_poll_at = None
|
||
task.provider_task_id = None
|
||
task.seedance_task_id = None
|
||
task.remote_result_url = None
|
||
task.provider_response_json = None
|
||
task.image_url = None
|
||
task.video_url = None
|
||
task.video_cover_url = None
|
||
task.generated_at = None
|
||
task.credits_cost = round(float(task.credits_cost or 0) + media_billing.total_charged, 2)
|
||
|
||
await db.commit()
|
||
|
||
from app.tasks.generation_create_tasks import chatapi_create_generation_task
|
||
|
||
try:
|
||
chatapi_create_generation_task.delay(task.id)
|
||
except Exception as exc:
|
||
await mark_chat_generation_task_failed_and_refund_once(
|
||
db,
|
||
task_id=task.id,
|
||
error_message=f"任务队列投递失败: {exc}",
|
||
pipeline_stage="failed",
|
||
)
|
||
await db.commit()
|
||
raise HTTPException(status_code=503, detail="任务队列投递失败，请稍后重试")
|
||
|
||
return GenerationAIRetryOut(
|
||
id=task.id,
|
||
status=task.status,
|
||
pipeline_stage=task.pipeline_stage,
|
||
message="任务已重新扣费并重新投递",
|
||
)
|