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MoviePilot/app/api/endpoints/history.py
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import asyncio
import time
from typing import List, Any, Optional
from fastapi import Depends
from app.schemas.common import BatchProgressKeyData as _SchemaBatchProgressKeyData
from app.schemas.common import ProgressKeyData as _SchemaProgressKeyData
from app.schemas.history import BatchTransferHistoryRedoRequest as _SchemaBatchTransferHistoryRedoRequest
from app.schemas.history import TransferHistory as _SchemaTransferHistory
from app.schemas.history import TransferHistoryPage as _SchemaTransferHistoryPage
from app.schemas.response import Response as _SchemaResponse
from app.schemas.token import TokenPayload as _SchemaTokenPayload
from app.schemas.history import DownloadHistory as _SchemaDownloadHistory
from app.api.response import ResponseAPIRouter
from app.agent.contracts import ReplyMode
from app.agent.runtime_loader import get_running_agent_manager
from app.agent.prompt.transfer_redo import (
build_batch_manual_redo_prompt,
build_manual_redo_prompt,
)
from app.runtime.config import settings, global_vars
from app.adapters.web.security.access import verify_token
from app.api.deps import (
get_current_active_manage_user,
get_current_active_superuser,
get_download_history_mutation_command,
get_history_query_service,
get_transfer_history_mutation_command,
)
from app.runtime.progress import ProgressHelper
from app.application.history import (
DownloadHistoryMutationCommand,
HistoryQueryService,
TransferHistoryMutationCommand,
)
from app.runtime.log import logger
router = ResponseAPIRouter()
def normalize_history_ids(history_ids: list[int]) -> list[int]:
"""对输入的历史记录 ID 列表进行规范化处理,去除重复项并保持原有顺序。"""
normalized_ids: list[int] = []
for history_id in history_ids:
if history_id not in normalized_ids:
normalized_ids.append(history_id)
return normalized_ids
def _start_ai_redo_task(history_id: int, prompt: str, progress_key: str):
"""在后台线程中启动单条 AI 重新整理任务,并通过 ProgressHelper 实时更新进度。"""
progress = ProgressHelper(progress_key)
progress.start()
progress.update(
text=f"智能助手正在准备整理记录 #{history_id} ...",
data={"history_id": history_id, "success": True},
)
def update_output(text: str):
progress.update(text=text, data={"history_id": history_id})
async def runner():
try:
manager = get_running_agent_manager()
if manager is None:
logger.warning("智能助手服务未运行,跳过单条整理历史 AI 重做")
raise RuntimeError("智能助手服务未运行")
await manager.run_background_prompt(
message=prompt,
session_prefix=f"__agent_manual_redo_{history_id}",
output_callback=update_output,
reply_mode=ReplyMode.CAPTURE_ONLY,
allow_message_tools=False,
)
progress.update(
text="智能助手整理完成",
data={"history_id": history_id, "success": True, "completed": True},
)
except Exception as e:
progress.update(
text=f"智能助手整理失败:{str(e)}",
data={
"history_id": history_id,
"success": False,
"completed": True,
"error": str(e),
},
)
finally:
progress.end()
asyncio.run_coroutine_threadsafe(runner(), global_vars.loop)
def _start_batch_ai_redo_task(
history_ids: list[int],
prompt: str,
progress_key: str,
):
"""在后台线程中启动批量 AI 重新整理任务,并通过 ProgressHelper 实时更新进度。"""
progress = ProgressHelper(progress_key)
progress.start()
progress.update(
text=f"智能助手正在准备批量整理 {len(history_ids)} 条记录 ...",
data={"history_ids": history_ids, "success": True},
)
def update_output(text: str):
progress.update(text=text, data={"history_ids": history_ids})
async def runner():
try:
manager = get_running_agent_manager()
if manager is None:
logger.warning("智能助手服务未运行,跳过批量整理历史 AI 重做")
raise RuntimeError("智能助手服务未运行")
await manager.run_background_prompt(
message=prompt,
session_prefix="__agent_manual_redo_batch",
output_callback=update_output,
reply_mode=ReplyMode.CAPTURE_ONLY,
allow_message_tools=False,
)
progress.update(
text="智能助手批量整理完成",
data={"history_ids": history_ids, "success": True, "completed": True},
)
except Exception as e:
progress.update(
text=f"智能助手批量整理失败:{str(e)}",
data={
"history_ids": history_ids,
"success": False,
"completed": True,
"error": str(e),
},
)
finally:
progress.end()
asyncio.run_coroutine_threadsafe(runner(), global_vars.loop)
@router.get(
"/download",
summary="查询下载历史记录",
response_model=List[_SchemaDownloadHistory],
)
async def download_history(
page: Optional[int] = 1,
count: Optional[int] = 30,
query: HistoryQueryService = Depends(get_history_query_service),
_: _SchemaTokenPayload = Depends(verify_token),
) -> Any:
"""
按下载时间倒序查询下载历史记录
"""
return await query.list_download(page=page, count=count)
@router.delete(
"/download",
summary="删除下载历史记录",
response_model=_SchemaResponse[None],
)
def delete_download_history(
history_in: _SchemaDownloadHistory,
command: DownloadHistoryMutationCommand = Depends(
get_download_history_mutation_command
),
_: _SchemaTokenPayload = Depends(verify_token),
) -> Any:
"""
删除下载历史记录
"""
result = command.delete(history_in.id)
return _SchemaResponse(success=result.success, message=result.message)
@router.get(
"/transfer",
summary="查询整理记录",
response_model=_SchemaResponse[_SchemaTransferHistoryPage],
)
async def transfer_history(
title: Optional[str] = None,
page: Optional[int] = 1,
count: Optional[int] = 30,
status: Optional[bool] = None,
query: HistoryQueryService = Depends(get_history_query_service),
_: _SchemaTokenPayload = Depends(verify_token),
) -> Any:
"""
查询整理记录,title 支持通配符 * 和 ?(如 *.mkv、*2024*
"""
result = await query.list_transfer(
title=title,
page=page,
count=count,
status=status,
)
return _SchemaResponse(success=True, data=result)
@router.delete("/transfer", summary="删除整理记录", response_model=_SchemaResponse[None])
def delete_transfer_history(
history_in: _SchemaTransferHistory,
deletesrc: Optional[bool] = False,
deletedest: Optional[bool] = False,
command: TransferHistoryMutationCommand = Depends(
get_transfer_history_mutation_command
),
_: object = Depends(get_current_active_manage_user),
) -> Any:
"""
删除整理记录。
"""
result = command.delete(
history_in.id,
delete_source=bool(deletesrc),
delete_destination=bool(deletedest),
)
return _SchemaResponse(success=result.success, message=result.message)
@router.post(
"/transfer/{history_id}/ai-redo",
summary="智能助手重新整理",
response_model=_SchemaResponse[_SchemaProgressKeyData],
)
async def ai_redo_transfer_history(
history_id: int,
query: HistoryQueryService = Depends(get_history_query_service),
_: object = Depends(get_current_active_manage_user),
) -> Any:
"""
手动触发单条历史记录的 AI 重新整理,并返回进度键。
"""
if not settings.AI_AGENT_ENABLE:
return _SchemaResponse(success=False, message="MoviePilot智能助手未启用")
history = await query.get_transfer(history_id)
if not history:
return _SchemaResponse(success=False, message="整理记录不存在")
prompt = build_manual_redo_prompt(history)
progress_key = f"ai_redo_transfer_{history_id}_{int(time.time() * 1000)}"
_start_ai_redo_task(
history_id=history_id,
prompt=prompt,
progress_key=progress_key,
)
return _SchemaResponse(success=True, data={"progress_key": progress_key})
@router.post(
"/transfer/ai-redo",
summary="智能助手批量重新整理",
response_model=_SchemaResponse[_SchemaBatchProgressKeyData],
)
async def batch_ai_redo_transfer_history(
payload: _SchemaBatchTransferHistoryRedoRequest,
query: HistoryQueryService = Depends(get_history_query_service),
_: object = Depends(get_current_active_manage_user),
) -> Any:
"""
手动触发多条历史记录的 AI 批量重新整理,并返回进度键。
"""
if not settings.AI_AGENT_ENABLE:
return _SchemaResponse(success=False, message="MoviePilot智能助手未启用")
history_ids = normalize_history_ids(payload.history_ids)
if not history_ids:
return _SchemaResponse(success=False, message="未提供有效的整理记录")
histories, missing_ids = await query.get_transfers(history_ids)
if missing_ids:
return _SchemaResponse(
success=False,
message="整理记录不存在: "
+ ", ".join(str(history_id) for history_id in missing_ids),
)
prompt = build_batch_manual_redo_prompt(histories)
progress_key = f"ai_redo_transfer_batch_{int(time.time() * 1000)}"
_start_batch_ai_redo_task(
history_ids=history_ids,
prompt=prompt,
progress_key=progress_key,
)
return _SchemaResponse(
success=True,
data={"progress_key": progress_key, "history_ids": history_ids},
)
@router.get(
"/empty/transfer",
summary="清空整理记录",
response_model=_SchemaResponse[None],
)
def empty_transfer_history(
command: TransferHistoryMutationCommand = Depends(
get_transfer_history_mutation_command
),
_: object = Depends(get_current_active_superuser),
) -> Any:
"""
清空整理记录
"""
result = command.truncate()
return _SchemaResponse(success=result.success, message=result.message)