Files
video-gen/video-gen-api/app/api/v1/generation_ai.py
T

395 lines
13 KiB
Python

from fastapi import APIRouter, Body, Depends, HTTPException, Path, Query
from sqlalchemy import select
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 (
GenerationAIHistoryDayItemsOut,
GenerationAIHistoryGroupedOut,
GenerationAIRetryOut,
GenerationAITaskCreate,
GenerationAITaskListOut,
GenerationAITaskOut,
)
from app.services.generation_ai_service import (
create_async_generation_task,
list_async_generation_tasks,
list_generation_history_day_items,
list_generation_history_grouped_days,
record_to_out,
)
from app.services.generation_log_service import log_task_event
from app.tasks.celery_app import celery_app
router = APIRouter(
prefix="/generation-ai",
tags=["generation-ai"],
)
@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。"
"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",
),
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")
task = await create_async_generation_task(db, current_user, req)
await db.commit()
await log_task_event(
task,
event_type="TASK_CREATED",
to_status="generating",
to_stage="queued",
detail={"gen_type": task.gen_type},
)
from app.tasks.generation_create_tasks import chatapi_create_generation_task
chatapi_create_generation_task.delay(task.id)
return record_to_out(task)
@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历史记录,请使用 /generation-ai/history 接口。"
),
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],
),
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
total, items = await list_async_generation_tasks(
db,
current_user.id,
gen_type,
status,
page,
page_size,
)
return GenerationAITaskListOut(total=total, items=[record_to_out(i) for i in 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。"
"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。"
"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",
},
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],
),
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,
)
@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。"
"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。"
"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,或 gen_type 不合法",
},
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],
),
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,
)
@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",
)
)
task = result.scalar_one_or_none()
if not task:
raise HTTPException(status_code=404, detail="任务不存在")
return record_to_out(task)
@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",
)
)
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")
task.status = "generating"
task.error_message = None
task.retry_count = (task.retry_count or 0) + 1
if task.retry_count > 3:
raise HTTPException(status_code=400, detail="任务已超过最大重试次数")
# Resume from the earliest missing stage.
if not task.optimized_prompt:
task.pipeline_stage = "queued"
from app.tasks.generation_create_tasks import chatapi_create_generation_task
chatapi_create_generation_task.delay(task.id)
elif not task.seedance_task_id and not task.remote_result_url:
task.pipeline_stage = "creating_provider_task"
from app.tasks.generation_create_tasks import chatapi_create_generation_task
chatapi_create_generation_task.delay(task.id)
elif task.seedance_task_id and not task.remote_result_url:
task.pipeline_stage = "waiting_remote"
from app.tasks.generation_poll_tasks import poll_generation_task
poll_generation_task.delay(task.id)
elif task.remote_result_url and not (task.image_url or task.video_url):
task.pipeline_stage = "result_ready"
from app.tasks.generation_download_tasks import download_generation_result_task
download_generation_result_task.delay(task.id)
else:
task.status = "completed"
task.pipeline_stage = "done"
await db.commit()
return GenerationAIRetryOut(
id=task.id,
status=task.status,
pipeline_stage=task.pipeline_stage,
message="任务已重新投递",
)