mirror of
https://github.com/jxxghp/MoviePilot.git
synced 2026-08-29 03:56:43 +08:00
370 lines
13 KiB
Python
370 lines
13 KiB
Python
import time
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from collections.abc import Coroutine
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from typing import List, Any, Callable, Optional
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from fastapi import Depends
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from app.schemas.common import BatchProgressKeyData as _SchemaBatchProgressKeyData
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from app.schemas.common import ProgressKeyData as _SchemaProgressKeyData
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from app.schemas.history import BatchTransferHistoryRedoRequest as _SchemaBatchTransferHistoryRedoRequest
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from app.schemas.history import TransferHistory as _SchemaTransferHistory
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from app.schemas.history import TransferHistoryPage as _SchemaTransferHistoryPage
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from app.schemas.response import Response as _SchemaResponse
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from app.schemas.token import TokenPayload as _SchemaTokenPayload
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from app.schemas.history import DownloadHistory as _SchemaDownloadHistory
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from app.api.response import ResponseAPIRouter
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from app.agent.contracts import ReplyMode
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from app.application.agent import get_running_agent_manager
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from app.agent.prompt.transfer_redo import (
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build_batch_manual_redo_prompt,
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build_manual_redo_prompt,
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)
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from app.runtime.config import global_vars
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from app.api.context import (
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get_api_runtime_config,
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get_background_task_registry,
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resolve_api_runtime_config,
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resolve_background_task_registry,
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)
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from app.application.configuration import ApiRuntimeConfig
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from app.adapters.web.security.access import verify_token
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from app.api.dependencies.auth import (
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get_current_active_manage_user,
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get_current_active_superuser,
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)
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from app.api.dependencies.history import (
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get_download_history_mutation_command,
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get_history_query_service,
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get_transfer_history_mutation_command,
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)
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from app.runtime.progress import AsyncProgressHelper
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from app.application.history import (
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DownloadHistoryMutationCommand,
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HistoryQueryService,
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TransferHistoryMutationCommand,
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)
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from app.runtime.log import logger
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from app.runtime.tasks import TaskRegistry
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router = ResponseAPIRouter()
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def normalize_history_ids(history_ids: list[int]) -> list[int]:
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"""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。"""
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normalized_ids: list[int] = []
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for history_id in history_ids:
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if history_id not in normalized_ids:
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normalized_ids.append(history_id)
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return normalized_ids
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def _build_progress_output_callback(
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progress: AsyncProgressHelper,
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data: dict[str, Any],
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*,
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submit: Callable[[Coroutine[Any, Any, Any]], object],
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) -> Callable[[str], None]:
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"""构造同步 Agent 输出回调，并把异步进度更新登记到宿主任务生命周期。"""
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def update_output(text: str) -> None:
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"""非阻塞提交一条进度更新，避免同步回调等待缓存 I/O。"""
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submit(progress.update(text=text, data=data))
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return update_output
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def _start_ai_redo_task(
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history_id: int,
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prompt: str,
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progress_key: str,
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task_registry: TaskRegistry | None = None,
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) -> None:
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"""在后台任务中启动单条 AI 重新整理任务，并通过异步进度辅助类实时更新进度。"""
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registry = resolve_background_task_registry(task_registry)
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progress = AsyncProgressHelper(progress_key)
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update_output = _build_progress_output_callback(
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progress,
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{"history_id": history_id},
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submit=lambda coroutine: registry.submit_threadsafe(
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coroutine,
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loop=global_vars.loop,
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owner="api.history.ai_redo.progress",
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),
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)
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async def runner():
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try:
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await progress.start()
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await progress.update(
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text=f"智能助手正在准备整理记录 #{history_id} ...",
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data={"history_id": history_id, "success": True},
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)
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manager = get_running_agent_manager()
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if manager is None:
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logger.warning("智能助手服务未运行，跳过单条整理历史 AI 重做")
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raise RuntimeError("智能助手服务未运行")
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await manager.run_background_prompt(
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message=prompt,
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session_prefix=f"__agent_manual_redo_{history_id}",
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output_callback=update_output,
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reply_mode=ReplyMode.CAPTURE_ONLY,
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allow_message_tools=False,
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)
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await progress.update(
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text="智能助手整理完成",
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data={"history_id": history_id, "success": True, "completed": True},
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)
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except Exception as e:
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await progress.update(
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text=f"智能助手整理失败：{str(e)}",
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data={
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"history_id": history_id,
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"success": False,
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"completed": True,
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"error": str(e),
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},
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)
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finally:
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await progress.end()
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registry.create(runner(), owner="api.history.ai_redo")
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def _start_batch_ai_redo_task(
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history_ids: list[int],
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prompt: str,
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progress_key: str,
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task_registry: TaskRegistry | None = None,
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) -> None:
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"""在后台任务中启动批量 AI 重新整理任务，并通过异步进度辅助类实时更新进度。"""
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registry = resolve_background_task_registry(task_registry)
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progress = AsyncProgressHelper(progress_key)
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update_output = _build_progress_output_callback(
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progress,
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{"history_ids": history_ids},
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submit=lambda coroutine: registry.submit_threadsafe(
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coroutine,
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loop=global_vars.loop,
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owner="api.history.ai_redo_batch.progress",
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),
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)
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async def runner():
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try:
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await progress.start()
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await progress.update(
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text=f"智能助手正在准备批量整理 {len(history_ids)} 条记录 ...",
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data={"history_ids": history_ids, "success": True},
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)
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manager = get_running_agent_manager()
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if manager is None:
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logger.warning("智能助手服务未运行，跳过批量整理历史 AI 重做")
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raise RuntimeError("智能助手服务未运行")
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await manager.run_background_prompt(
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message=prompt,
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session_prefix="__agent_manual_redo_batch",
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output_callback=update_output,
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reply_mode=ReplyMode.CAPTURE_ONLY,
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allow_message_tools=False,
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)
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await progress.update(
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text="智能助手批量整理完成",
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data={"history_ids": history_ids, "success": True, "completed": True},
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)
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except Exception as e:
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await progress.update(
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text=f"智能助手批量整理失败：{str(e)}",
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data={
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"history_ids": history_ids,
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"success": False,
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"completed": True,
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"error": str(e),
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},
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)
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finally:
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await progress.end()
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registry.create(runner(), owner="api.history.ai_redo_batch")
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@router.get(
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"/download",
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summary="查询下载历史记录",
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response_model=List[_SchemaDownloadHistory],
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)
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async def download_history(
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page: Optional[int] = 1,
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count: Optional[int] = 30,
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query: HistoryQueryService = Depends(get_history_query_service),
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_: _SchemaTokenPayload = Depends(verify_token),
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) -> Any:
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"""
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按下载时间倒序查询下载历史记录
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"""
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return await query.list_download(page=page, count=count)
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@router.delete(
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"/download",
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summary="删除下载历史记录",
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response_model=_SchemaResponse[None],
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)
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def delete_download_history(
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history_in: _SchemaDownloadHistory,
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command: DownloadHistoryMutationCommand = Depends(
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get_download_history_mutation_command
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),
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_: _SchemaTokenPayload = Depends(verify_token),
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) -> Any:
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"""
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删除下载历史记录
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"""
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result = command.delete(history_in.id)
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return _SchemaResponse(success=result.success, message=result.message)
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@router.get(
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"/transfer",
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summary="查询整理记录",
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response_model=_SchemaResponse[_SchemaTransferHistoryPage],
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)
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async def transfer_history(
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title: Optional[str] = None,
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page: Optional[int] = 1,
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count: Optional[int] = 30,
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status: Optional[bool] = None,
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query: HistoryQueryService = Depends(get_history_query_service),
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_: _SchemaTokenPayload = Depends(verify_token),
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) -> Any:
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"""
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查询整理记录，title 支持通配符 * 和 ?（如 *.mkv、*2024*）
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"""
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result = await query.list_transfer(
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title=title,
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page=page,
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count=count,
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status=status,
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)
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return _SchemaResponse(success=True, data=result)
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@router.delete("/transfer", summary="删除整理记录", response_model=_SchemaResponse[None])
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def delete_transfer_history(
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history_in: _SchemaTransferHistory,
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deletesrc: Optional[bool] = False,
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deletedest: Optional[bool] = False,
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command: TransferHistoryMutationCommand = Depends(
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get_transfer_history_mutation_command
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),
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_: object = Depends(get_current_active_manage_user),
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) -> Any:
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"""
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删除整理记录。
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"""
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result = command.delete(
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history_in.id,
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delete_source=bool(deletesrc),
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delete_destination=bool(deletedest),
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)
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return _SchemaResponse(success=result.success, message=result.message)
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@router.post(
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"/transfer/{history_id}/ai-redo",
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summary="智能助手重新整理",
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response_model=_SchemaResponse[_SchemaProgressKeyData],
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)
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async def ai_redo_transfer_history(
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history_id: int,
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query: HistoryQueryService = Depends(get_history_query_service),
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runtime_config: ApiRuntimeConfig = Depends(get_api_runtime_config),
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_: object = Depends(get_current_active_manage_user),
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task_registry: TaskRegistry = Depends(get_background_task_registry),
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) -> Any:
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"""
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手动触发单条历史记录的 AI 重新整理，并返回进度键。
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"""
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runtime_config = resolve_api_runtime_config(runtime_config)
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if not runtime_config.ai_agent_enable:
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return _SchemaResponse(success=False, message="MoviePilot智能助手未启用")
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history = await query.get_transfer(history_id)
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if not history:
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return _SchemaResponse(success=False, message="整理记录不存在")
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prompt = build_manual_redo_prompt(history)
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progress_key = f"ai_redo_transfer_{history_id}_{int(time.time() * 1000)}"
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_start_ai_redo_task(
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history_id=history_id,
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prompt=prompt,
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progress_key=progress_key,
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task_registry=task_registry,
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)
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return _SchemaResponse(success=True, data={"progress_key": progress_key})
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@router.post(
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"/transfer/ai-redo",
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summary="智能助手批量重新整理",
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response_model=_SchemaResponse[_SchemaBatchProgressKeyData],
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)
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async def batch_ai_redo_transfer_history(
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payload: _SchemaBatchTransferHistoryRedoRequest,
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query: HistoryQueryService = Depends(get_history_query_service),
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runtime_config: ApiRuntimeConfig = Depends(get_api_runtime_config),
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_: object = Depends(get_current_active_manage_user),
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task_registry: TaskRegistry = Depends(get_background_task_registry),
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) -> Any:
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"""
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手动触发多条历史记录的 AI 批量重新整理，并返回进度键。
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"""
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runtime_config = resolve_api_runtime_config(runtime_config)
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if not runtime_config.ai_agent_enable:
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return _SchemaResponse(success=False, message="MoviePilot智能助手未启用")
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history_ids = normalize_history_ids(payload.history_ids)
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if not history_ids:
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return _SchemaResponse(success=False, message="未提供有效的整理记录")
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histories, missing_ids = await query.get_transfers(history_ids)
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if missing_ids:
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return _SchemaResponse(
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success=False,
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message="整理记录不存在: "
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+ ", ".join(str(history_id) for history_id in missing_ids),
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)
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prompt = build_batch_manual_redo_prompt(histories)
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progress_key = f"ai_redo_transfer_batch_{int(time.time() * 1000)}"
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_start_batch_ai_redo_task(
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history_ids=history_ids,
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prompt=prompt,
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progress_key=progress_key,
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task_registry=task_registry,
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)
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return _SchemaResponse(
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success=True,
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data={"progress_key": progress_key, "history_ids": history_ids},
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)
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@router.get(
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"/empty/transfer",
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summary="清空整理记录",
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response_model=_SchemaResponse[None],
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)
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def empty_transfer_history(
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command: TransferHistoryMutationCommand = Depends(
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get_transfer_history_mutation_command
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),
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_: object = Depends(get_current_active_superuser),
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) -> Any:
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"""
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清空整理记录
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"""
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result = command.truncate()
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return _SchemaResponse(success=result.success, message=result.message)
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