mirror of
https://github.com/jxxghp/MoviePilot.git
synced 2026-08-28 03:27:31 +08:00
381 lines
16 KiB
Python
381 lines
16 KiB
Python
import pickle
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import traceback
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from concurrent.futures import ThreadPoolExecutor, as_completed
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from datetime import datetime
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from typing import Dict
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from typing import List, Optional
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from app.chain import ChainBase
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from app.core.config import global_vars
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from app.core.context import Context
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from app.core.context import MediaInfo, TorrentInfo
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from app.core.event import eventmanager, Event
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from app.core.metainfo import MetaInfo
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from app.db.systemconfig_oper import SystemConfigOper
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from app.helper.progress import ProgressHelper
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from app.helper.sites import SitesHelper
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from app.helper.torrent import TorrentHelper
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from app.log import logger
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from app.schemas import NotExistMediaInfo
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from app.schemas.types import MediaType, ProgressKey, SystemConfigKey, EventType
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class SearchChain(ChainBase):
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"""
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站点资源搜索处理链
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"""
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__result_temp_file = "__search_result__"
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def __init__(self):
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super().__init__()
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self.siteshelper = SitesHelper()
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self.progress = ProgressHelper()
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self.systemconfig = SystemConfigOper()
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self.torrenthelper = TorrentHelper()
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def search_by_id(self, tmdbid: int = None, doubanid: str = None,
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mtype: MediaType = None, area: str = "title", season: int = None) -> List[Context]:
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"""
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根据TMDBID/豆瓣ID搜索资源，精确匹配，但不不过滤本地存在的资源
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:param tmdbid: TMDB ID
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:param doubanid: 豆瓣 ID
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:param mtype: 媒体，电影 or 电视剧
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:param area: 搜索范围，title or imdbid
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:param season: 季数
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"""
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mediainfo = self.recognize_media(tmdbid=tmdbid, doubanid=doubanid, mtype=mtype)
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if not mediainfo:
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logger.error(f'{tmdbid} 媒体信息识别失败！')
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return []
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no_exists = None
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if season:
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no_exists = {
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tmdbid or doubanid: {
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season: NotExistMediaInfo(episodes=[])
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}
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}
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results = self.process(mediainfo=mediainfo, area=area, no_exists=no_exists)
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# 保存到本地文件
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bytes_results = pickle.dumps(results)
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self.save_cache(bytes_results, self.__result_temp_file)
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return results
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def search_by_title(self, title: str, page: int = 0, site: int = None) -> List[Context]:
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"""
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根据标题搜索资源，不识别不过滤，直接返回站点内容
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:param title: 标题，为空时返回所有站点首页内容
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:param page: 页码
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:param site: 站点ID
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"""
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if title:
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logger.info(f'开始搜索资源，关键词：{title} ...')
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else:
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logger.info(f'开始浏览资源，站点：{site} ...')
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# 搜索
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torrents = self.__search_all_sites(keywords=[title], sites=[site] if site else None, page=page) or []
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if not torrents:
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logger.warn(f'{title} 未搜索到资源')
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return []
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# 组装上下文
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contexts = [Context(meta_info=MetaInfo(title=torrent.title, subtitle=torrent.description),
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torrent_info=torrent) for torrent in torrents]
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# 保存到本地文件
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bytes_results = pickle.dumps(contexts)
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self.save_cache(bytes_results, self.__result_temp_file)
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return contexts
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def last_search_results(self) -> List[Context]:
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"""
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获取上次搜索结果
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"""
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# 读取本地文件缓存
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content = self.load_cache(self.__result_temp_file)
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if not content:
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return []
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try:
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return pickle.loads(content)
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except Exception as e:
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logger.error(f'加载搜索结果失败：{str(e)} - {traceback.format_exc()}')
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return []
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def process(self, mediainfo: MediaInfo,
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keyword: str = None,
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no_exists: Dict[int, Dict[int, NotExistMediaInfo]] = None,
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sites: List[int] = None,
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rule_groups: List[str] = None,
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area: str = "title",
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custom_words: List[str] = None) -> List[Context]:
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"""
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根据媒体信息搜索种子资源，精确匹配，应用过滤规则，同时根据no_exists过滤本地已存在的资源
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:param mediainfo: 媒体信息
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:param keyword: 搜索关键词
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:param no_exists: 缺失的媒体信息
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:param sites: 站点ID列表，为空时搜索所有站点
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:param rule_groups: 过滤规则组名称列表
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:param area: 搜索范围，title or imdbid
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:param custom_words: 自定义识别词列表
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"""
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def __do_filter(torrent_list: List[TorrentInfo]) -> List[TorrentInfo]:
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"""
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执行优先级过滤
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"""
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return self.filter_torrents(rule_groups=rule_groups,
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torrent_list=torrent_list,
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season_episodes=season_episodes,
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mediainfo=mediainfo) or []
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# 豆瓣标题处理
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if not mediainfo.tmdb_id:
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meta = MetaInfo(title=mediainfo.title)
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mediainfo.title = meta.name
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mediainfo.season = meta.begin_season
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logger.info(f'开始搜索资源，关键词：{keyword or mediainfo.title} ...')
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# 补充媒体信息
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if not mediainfo.names:
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mediainfo: MediaInfo = self.recognize_media(mtype=mediainfo.type,
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tmdbid=mediainfo.tmdb_id,
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doubanid=mediainfo.douban_id)
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if not mediainfo:
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logger.error(f'媒体信息识别失败！')
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return []
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# 缺失的季集
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mediakey = mediainfo.tmdb_id or mediainfo.douban_id
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if no_exists and no_exists.get(mediakey):
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# 过滤剧集
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season_episodes = {sea: info.episodes
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for sea, info in no_exists[mediakey].items()}
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elif mediainfo.season:
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# 豆瓣只搜索当前季
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season_episodes = {mediainfo.season: []}
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else:
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season_episodes = None
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# 搜索关键词
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if keyword:
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keywords = [keyword]
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else:
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# 去重去空，但要保持顺序
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keywords = list(dict.fromkeys([k for k in [mediainfo.title,
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mediainfo.original_title,
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mediainfo.en_title,
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mediainfo.hk_title,
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mediainfo.tw_title,
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mediainfo.sg_title] if k]))
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# 执行搜索
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torrents: List[TorrentInfo] = self.__search_all_sites(
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mediainfo=mediainfo,
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keywords=keywords,
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sites=sites,
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area=area
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)
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if not torrents:
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logger.warn(f'{keyword or mediainfo.title} 未搜索到资源')
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return []
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# 开始新进度
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self.progress.start(ProgressKey.Search)
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# 开始过滤
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self.progress.update(value=0, text=f'开始过滤，总 {len(torrents)} 个资源，请稍候...',
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key=ProgressKey.Search)
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# 开始过滤规则过滤
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if rule_groups is None:
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# 取搜索过滤规则
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rule_groups: List[str] = self.systemconfig.get(SystemConfigKey.SearchFilterRuleGroups)
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if rule_groups:
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logger.info(f'开始过滤规则/剧集过滤，使用规则组：{rule_groups} ...')
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torrents = __do_filter(torrents)
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if not torrents:
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logger.warn(f'{keyword or mediainfo.title} 没有符合过滤规则的资源')
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return []
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logger.info(f"过滤规则/剧集过滤完成，剩余 {len(torrents)} 个资源")
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# 过滤完成
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self.progress.update(value=50, text=f'过滤完成，剩余 {len(torrents)} 个资源', key=ProgressKey.Search)
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# 开始匹配
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_match_torrents = []
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# 总数
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_total = len(torrents)
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# 已处理数
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_count = 0
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if mediainfo:
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# 英文标题应该在别名/原标题中，不需要再匹配
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logger.info(f"开始匹配结果 标题：{mediainfo.title}，原标题：{mediainfo.original_title}，别名：{mediainfo.names}")
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self.progress.update(value=51, text=f'开始匹配，总 {_total} 个资源 ...', key=ProgressKey.Search)
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for torrent in torrents:
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if global_vars.is_system_stopped:
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break
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_count += 1
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self.progress.update(value=(_count / _total) * 96,
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text=f'正在匹配 {torrent.site_name}，已完成 {_count} / {_total} ...',
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key=ProgressKey.Search)
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if not torrent.title:
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continue
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# 识别元数据
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torrent_meta = MetaInfo(title=torrent.title, subtitle=torrent.description,
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custom_words=custom_words)
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if torrent.title != torrent_meta.org_string:
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logger.info(f"种子名称应用识别词后发生改变：{torrent.title} => {torrent_meta.org_string}")
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# 比对IMDBID
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if torrent.imdbid \
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and mediainfo.imdb_id \
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and torrent.imdbid == mediainfo.imdb_id:
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logger.info(f'{mediainfo.title} 通过IMDBID匹配到资源：{torrent.site_name} - {torrent.title}')
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_match_torrents.append((torrent, torrent_meta))
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continue
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# 比对种子
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if self.torrenthelper.match_torrent(mediainfo=mediainfo,
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torrent_meta=torrent_meta,
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torrent=torrent):
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# 匹配成功
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_match_torrents.append((torrent, torrent_meta))
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continue
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# 匹配完成
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logger.info(f"匹配完成，共匹配到 {len(_match_torrents)} 个资源")
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self.progress.update(value=97,
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text=f'匹配完成，共匹配到 {len(_match_torrents)} 个资源',
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key=ProgressKey.Search)
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else:
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_match_torrents = [(t, MetaInfo(title=t.title, subtitle=t.description)) for t in torrents]
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# 去掉mediainfo中多余的数据
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mediainfo.clear()
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# 组装上下文
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contexts = [Context(torrent_info=t[0],
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media_info=mediainfo,
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meta_info=t[1]) for t in _match_torrents]
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# 排序
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self.progress.update(value=99,
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text=f'正在对 {len(contexts)} 个资源进行排序，请稍候...',
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key=ProgressKey.Search)
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contexts = self.torrenthelper.sort_torrents(contexts)
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# 结束进度
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logger.info(f'搜索完成，共 {len(contexts)} 个资源')
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self.progress.update(value=100,
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text=f'搜索完成，共 {len(contexts)} 个资源',
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key=ProgressKey.Search)
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self.progress.end(ProgressKey.Search)
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# 返回
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return contexts
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def __search_all_sites(self, keywords: List[str],
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mediainfo: Optional[MediaInfo] = None,
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sites: List[int] = None,
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page: int = 0,
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area: str = "title") -> Optional[List[TorrentInfo]]:
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"""
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多线程搜索多个站点
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:param mediainfo: 识别的媒体信息
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:param keywords: 搜索关键词列表
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:param sites: 指定站点ID列表，如有则只搜索指定站点，否则搜索所有站点
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:param page: 搜索页码
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:param area: 搜索区域 title or imdbid
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:reutrn: 资源列表
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"""
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# 未开启的站点不搜索
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indexer_sites = []
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# 配置的索引站点
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if not sites:
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sites = self.systemconfig.get(SystemConfigKey.IndexerSites) or []
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for indexer in self.siteshelper.get_indexers():
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# 检查站点索引开关
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if not sites or indexer.get("id") in sites:
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# 站点流控
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state, msg = self.siteshelper.check(indexer.get("domain"))
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if state:
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logger.warn(msg)
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continue
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indexer_sites.append(indexer)
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if not indexer_sites:
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logger.warn('未开启任何有效站点，无法搜索资源')
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return []
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# 开始进度
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self.progress.start(ProgressKey.Search)
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# 开始计时
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start_time = datetime.now()
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# 总数
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total_num = len(indexer_sites)
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# 完成数
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finish_count = 0
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# 更新进度
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self.progress.update(value=0,
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text=f"开始搜索，共 {total_num} 个站点 ...",
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key=ProgressKey.Search)
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# 多线程
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executor = ThreadPoolExecutor(max_workers=len(indexer_sites))
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all_task = []
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for site in indexer_sites:
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if area == "imdbid":
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# 搜索IMDBID
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task = executor.submit(self.search_torrents, site=site,
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keywords=[mediainfo.imdb_id] if mediainfo else None,
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mtype=mediainfo.type if mediainfo else None,
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page=page)
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else:
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# 搜索标题
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task = executor.submit(self.search_torrents, site=site,
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keywords=keywords,
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mtype=mediainfo.type if mediainfo else None,
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page=page)
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all_task.append(task)
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# 结果集
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results = []
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for future in as_completed(all_task):
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if global_vars.is_system_stopped:
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break
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finish_count += 1
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result = future.result()
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if result:
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results.extend(result)
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logger.info(f"站点搜索进度：{finish_count} / {total_num}")
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self.progress.update(value=finish_count / total_num * 100,
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text=f"正在搜索{keywords or ''}，已完成 {finish_count} / {total_num} 个站点 ...",
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key=ProgressKey.Search)
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# 计算耗时
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end_time = datetime.now()
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# 更新进度
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self.progress.update(value=100,
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text=f"站点搜索完成，有效资源数：{len(results)}，总耗时 {(end_time - start_time).seconds} 秒",
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key=ProgressKey.Search)
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logger.info(f"站点搜索完成，有效资源数：{len(results)}，总耗时 {(end_time - start_time).seconds} 秒")
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# 结束进度
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self.progress.end(ProgressKey.Search)
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# 返回
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return results
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@eventmanager.register(EventType.SiteDeleted)
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def remove_site(self, event: Event):
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"""
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从搜索站点中移除与已删除站点相关的设置
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"""
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if not event:
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return
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event_data = event.event_data or {}
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site_id = event_data.get("site_id")
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if not site_id:
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return
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if site_id == "*":
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# 清空搜索站点
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SystemConfigOper().set(SystemConfigKey.IndexerSites, [])
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return
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# 从选中的rss站点中移除
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selected_sites = SystemConfigOper().get(SystemConfigKey.IndexerSites) or []
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if site_id in selected_sites:
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selected_sites.remove(site_id)
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SystemConfigOper().set(SystemConfigKey.IndexerSites, selected_sites)
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