Files
archived-MoviePilot/app/workflow/actions/fetch_torrents.py
DDSRem 10a9e7293a fix(workflow): use MediaChain instead of SearchChain for recognize_by_meta in fetch_torrents
SearchChain does not have a recognize_by_meta method; this belongs to MediaChain.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-12 18:51:06 +08:00

107 lines
3.9 KiB
Python

import random
import time
from typing import Optional, List
from pydantic import Field
from app.workflow.actions import BaseAction
from app.chain.media import MediaChain
from app.chain.search import SearchChain
from app.core.config import global_vars
from app.log import logger
from app.schemas import ActionParams, ActionContext, MediaType
class FetchTorrentsParams(ActionParams):
"""
获取站点资源参数
"""
search_type: Optional[str] = Field(default="keyword", description="搜索类型")
name: Optional[str] = Field(default=None, description="资源名称")
year: Optional[str] = Field(default=None, description="年份")
type: Optional[str] = Field(default=None, description="资源类型 (电影/电视剧)")
season: Optional[int] = Field(default=None, description="季度")
sites: Optional[List[int]] = Field(default=[], description="站点列表")
match_media: Optional[bool] = Field(default=False, description="匹配媒体信息")
class FetchTorrentsAction(BaseAction):
"""
搜索站点资源
"""
def __init__(self, action_id: str):
super().__init__(action_id)
self._torrents = []
@classmethod
@property
def name(cls) -> str: # noqa
return "搜索站点资源"
@classmethod
@property
def description(cls) -> str: # noqa
return "搜索站点种子资源列表"
@classmethod
@property
def data(cls) -> dict: # noqa
return FetchTorrentsParams().model_dump()
@property
def success(self) -> bool:
return self.done
def execute(self, workflow_id: int, params: dict, context: ActionContext) -> ActionContext:
"""
搜索站点,获取资源列表
"""
params = FetchTorrentsParams(**params)
searchchain = SearchChain()
if params.search_type == "keyword":
# 按关键字搜索
torrents = searchchain.search_by_title(title=params.name, sites=params.sites)
for torrent in torrents:
if global_vars.is_workflow_stopped(workflow_id):
break
if params.year and torrent.meta_info.year != params.year:
continue
if params.type and torrent.media_info and torrent.media_info.type != MediaType(params.type):
continue
if params.season and torrent.meta_info.begin_season != params.season:
continue
# 识别媒体信息
if params.match_media:
torrent.media_info = MediaChain().recognize_by_meta(
torrent.meta_info,
obtain_images=False,
)
if not torrent.media_info:
logger.warning(f"{torrent.torrent_info.title} 未识别到媒体信息")
continue
self._torrents.append(torrent)
else:
# 搜索媒体列表
for media in context.medias:
if global_vars.is_workflow_stopped(workflow_id):
break
torrents = searchchain.search_by_id(tmdbid=media.tmdb_id,
doubanid=media.douban_id,
mtype=MediaType(media.type),
sites=params.sites)
for torrent in torrents:
self._torrents.append(torrent)
# 随机休眠 5-30秒
sleep_time = random.randint(5, 30)
logger.info(f"随机休眠 {sleep_time} 秒 ...")
time.sleep(sleep_time)
if self._torrents:
context.torrents.extend(self._torrents)
logger.info(f"共搜索到 {len(self._torrents)} 条资源")
self.job_done(f"搜索到 {len(self._torrents)} 个资源")
return context