mirror of
https://github.com/jxxghp/MoviePilot.git
synced 2026-05-24 07:26:50 +00:00
426 lines
15 KiB
Python
426 lines
15 KiB
Python
import asyncio
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import time
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from pathlib import Path
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from typing import List, Any, Optional
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import jieba
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from fastapi import APIRouter, Depends
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy.orm import Session
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from app import schemas
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from app.agent import ReplyMode, prompt_manager, agent_manager
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from app.chain.storage import StorageChain
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from app.core.config import settings, global_vars
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from app.core.event import eventmanager
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from app.core.security import verify_token
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from app.db import get_async_db, get_db
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from app.db.models import User
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from app.db.models.downloadhistory import DownloadHistory, DownloadFiles
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from app.db.models.transferhistory import TransferHistory
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from app.db.user_oper import (
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get_current_active_superuser_async,
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get_current_active_superuser,
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)
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from app.helper.progress import ProgressHelper
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from app.schemas.types import EventType
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router = APIRouter()
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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_manual_redo_template_context(
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history: TransferHistory,
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) -> dict[str, int | str]:
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"""仅负责把整理历史对象映射成 System Tasks 需要的模板变量。"""
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src_fileitem = history.src_fileitem or {}
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source_path = src_fileitem.get("path") if isinstance(src_fileitem, dict) else ""
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source_path = source_path or history.src or ""
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season_episode = f"{history.seasons or ''}{history.episodes or ''}".strip()
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return {
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"history_id": history.id,
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"current_status": "success" if history.status else "failed",
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"recognized_title": history.title or "unknown",
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"media_type": history.type or "unknown",
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"category": history.category or "unknown",
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"year": history.year or "unknown",
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"season_episode": season_episode or "unknown",
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"source_path": source_path or "unknown",
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"source_storage": history.src_storage or "local",
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"destination_path": history.dest or "unknown",
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"destination_storage": history.dest_storage or "unknown",
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"transfer_mode": history.mode or "unknown",
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"tmdbid": history.tmdbid or "none",
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"doubanid": history.doubanid or "none",
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"error_message": history.errmsg or "none",
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}
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def format_manual_redo_record_context(history: Any) -> str:
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"""把单条整理记录格式化为批量任务可直接消费的上下文块。"""
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context = build_manual_redo_template_context(history)
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return "\n".join(
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[
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f"Record #{context['history_id']}:",
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f"- Current status: {context['current_status']}",
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f"- Current recognized title: {context['recognized_title']}",
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f"- Media type: {context['media_type']}",
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f"- Category: {context['category']}",
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f"- Year: {context['year']}",
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f"- Season/Episode: {context['season_episode']}",
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f"- Source path: {context['source_path']}",
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f"- Source storage: {context['source_storage']}",
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f"- Destination path: {context['destination_path']}",
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f"- Destination storage: {context['destination_storage']}",
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f"- Transfer mode: {context['transfer_mode']}",
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f"- Current TMDB ID: {context['tmdbid']}",
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f"- Current Douban ID: {context['doubanid']}",
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f"- Error message: {context['error_message']}",
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]
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)
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def build_manual_redo_prompt(history: Any) -> str:
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"""构建手动 AI 整理提示词。"""
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return prompt_manager.render_system_task_message(
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"manual_transfer_redo",
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template_context=build_manual_redo_template_context(history),
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)
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def build_batch_manual_redo_template_context(
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histories: list[Any],
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) -> dict[str, int | str]:
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"""仅负责把多条整理历史对象映射成批量 System Tasks 需要的模板变量。"""
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return {
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"history_ids_csv": ", ".join(str(history.id) for history in histories),
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"history_count": len(histories),
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"records_context": "\n\n".join(
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format_manual_redo_record_context(history) for history in histories
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),
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}
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def build_batch_manual_redo_prompt(histories: list[Any]) -> str:
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"""构建批量手动 AI 整理提示词。"""
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return prompt_manager.render_system_task_message(
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"batch_manual_transfer_redo",
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template_context=build_batch_manual_redo_template_context(histories),
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)
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def _start_ai_redo_task(history_id: int, prompt: str, progress_key: str):
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"""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。"""
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progress = ProgressHelper(progress_key)
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progress.start()
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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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def update_output(text: str):
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progress.update(text=text, data={"history_id": history_id})
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async def runner():
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try:
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await agent_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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persist_output_message=False,
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allow_message_tools=False,
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)
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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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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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progress.end()
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asyncio.run_coroutine_threadsafe(runner(), global_vars.loop)
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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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):
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"""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。"""
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progress = ProgressHelper(progress_key)
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progress.start()
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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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def update_output(text: str):
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progress.update(text=text, data={"history_ids": history_ids})
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async def runner():
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try:
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await agent_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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persist_output_message=False,
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allow_message_tools=False,
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)
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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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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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progress.end()
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asyncio.run_coroutine_threadsafe(runner(), global_vars.loop)
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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[schemas.DownloadHistory],
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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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db: AsyncSession = Depends(get_async_db),
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_: schemas.TokenPayload = Depends(verify_token),
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) -> Any:
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"""
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查询下载历史记录
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"""
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return await DownloadHistory.async_list_by_page(db, page, count)
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@router.delete("/download", summary="删除下载历史记录", response_model=schemas.Response)
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async def delete_download_history(
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history_in: schemas.DownloadHistory,
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db: AsyncSession = Depends(get_async_db),
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_: schemas.TokenPayload = 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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await DownloadHistory.async_delete(db, history_in.id)
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return schemas.Response(success=True)
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def _glob_to_like(pattern: str) -> str:
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"""
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将 glob 通配符模式转换为 SQL LIKE 模式（使用 \\ 作为转义字符）
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"""
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result = pattern.replace("\\", "\\\\").replace("%", "\\%").replace("_", "\\_")
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return result.replace("*", "%").replace("?", "_")
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@router.get("/transfer", summary="查询整理记录", response_model=schemas.Response)
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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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db: AsyncSession = Depends(get_async_db),
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_: schemas.TokenPayload = 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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if title == "失败":
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title = None
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status = False
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elif title == "成功":
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title = None
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status = True
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if title:
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if "*" in title or "?" in title:
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like_pattern = _glob_to_like(title)
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total = await TransferHistory.async_count_by_title(
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db, title=like_pattern, status=status, wildcard=True
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)
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result = await TransferHistory.async_list_by_title(
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db, title=like_pattern, page=page, count=count, status=status, wildcard=True
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)
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else:
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words = jieba.cut(title, HMM=False)
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like_pattern = "%".join(words)
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total = await TransferHistory.async_count_by_title(
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db, title=like_pattern, status=status
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)
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result = await TransferHistory.async_list_by_title(
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db, title=like_pattern, page=page, count=count, status=status
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)
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else:
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result = await TransferHistory.async_list_by_page(
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db, page=page, count=count, status=status
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)
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total = await TransferHistory.async_count(db, status=status)
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return schemas.Response(
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success=True,
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data={
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"list": [item.to_dict() for item in result],
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"total": total,
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},
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)
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@router.delete("/transfer", summary="删除整理记录", response_model=schemas.Response)
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def delete_transfer_history(
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history_in: schemas.TransferHistory,
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deletesrc: Optional[bool] = False,
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deletedest: Optional[bool] = False,
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db: Session = Depends(get_db),
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_: User = Depends(get_current_active_superuser),
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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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history: TransferHistory = TransferHistory.get(db, history_in.id)
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if not history:
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return schemas.Response(success=False, message="记录不存在")
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# 册除媒体库文件
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if deletedest and history.dest_fileitem:
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dest_fileitem = schemas.FileItem(**history.dest_fileitem)
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StorageChain().delete_media_file(dest_fileitem)
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# 删除源文件
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if deletesrc and history.src_fileitem:
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src_fileitem = schemas.FileItem(**history.src_fileitem)
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state = StorageChain().delete_media_file(src_fileitem)
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if not state:
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return schemas.Response(
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success=False, message=f"{src_fileitem.path} 删除失败"
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)
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# 删除下载记录中关联的文件
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DownloadFiles.delete_by_fullpath(db, Path(src_fileitem.path).as_posix())
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# 发送事件
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eventmanager.send_event(
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EventType.DownloadFileDeleted,
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{"src": history.src, "hash": history.download_hash},
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)
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# 删除记录
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TransferHistory.delete(db, history_in.id)
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return schemas.Response(success=True)
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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=schemas.Response,
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)
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def ai_redo_transfer_history(
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history_id: int,
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db: Session = Depends(get_db),
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_: User = Depends(get_current_active_superuser),
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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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if not settings.AI_AGENT_ENABLE:
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return schemas.Response(success=False, message="MoviePilot智能助手未启用")
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history = TransferHistory.get(db, history_id)
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if not history:
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return schemas.Response(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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)
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return schemas.Response(success=True, data={"progress_key": progress_key})
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@router.post(
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"/transfer/ai-redo", summary="智能助手批量重新整理", response_model=schemas.Response
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)
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def batch_ai_redo_transfer_history(
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payload: schemas.BatchTransferHistoryRedoRequest,
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db: Session = Depends(get_db),
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_: User = Depends(get_current_active_superuser),
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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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if not settings.AI_AGENT_ENABLE:
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return schemas.Response(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 schemas.Response(success=False, message="未提供有效的整理记录")
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histories = []
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missing_ids = []
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for history_id in history_ids:
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history = TransferHistory.get(db, history_id)
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if not history:
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missing_ids.append(history_id)
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continue
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histories.append(history)
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if missing_ids:
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return schemas.Response(
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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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)
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return schemas.Response(
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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("/empty/transfer", summary="清空整理记录", response_model=schemas.Response)
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async def empty_transfer_history(
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db: AsyncSession = Depends(get_async_db),
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_: User = Depends(get_current_active_superuser_async),
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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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await TransferHistory.async_truncate(db)
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return schemas.Response(success=True)
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