mirror of
https://github.com/jxxghp/MoviePilot.git
synced 2026-08-30 04:27:40 +08:00
223 lines
7.9 KiB
Python
223 lines
7.9 KiB
Python
from typing import Optional
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from fastapi import Depends
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from app.schemas.cache import TorrentCacheData as _SchemaTorrentCacheData
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from app.schemas.cache import TorrentReidentifyData as _SchemaTorrentReidentifyData
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from app.schemas.response import Response as _SchemaResponse
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from app.api.response import ResponseAPIRouter
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from app.chain.media import MediaChain
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from app.chain.torrents import TorrentsChain
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from app.application.configuration import get_api_runtime_config_snapshot
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from app.api.dependencies.auth import (
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get_current_active_superuser,
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get_current_active_superuser_async,
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)
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from app.schemas.types import (
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MediaSource,
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MusicTargetEntityType,
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)
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from app.foundation.crypto import HashUtils
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from app.schemas.media import resolve_media_identity
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from app.application.torrent_cache import TorrentCacheRecognitionService
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router = ResponseAPIRouter()
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@router.get(
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"/cache",
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summary="获取种子缓存",
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response_model=_SchemaResponse[_SchemaTorrentCacheData],
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)
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async def torrents_cache(_: object = Depends(get_current_active_superuser_async)):
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"""
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获取当前种子缓存数据
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"""
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torrents_chain = TorrentsChain()
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# 获取spider和rss两种缓存
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if get_api_runtime_config_snapshot().subscribe_mode == "rss":
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cache_info = await torrents_chain.async_get_torrents("rss")
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else:
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cache_info = await torrents_chain.async_get_torrents("spider")
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# 统计信息
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torrent_count = sum(len(torrents) for torrents in cache_info.values())
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# 转换为前端需要的格式
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torrent_data = []
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for domain, contexts in cache_info.items():
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for context in contexts:
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torrent_hash = HashUtils.md5(
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f"{context.torrent_info.title}{context.torrent_info.description}"
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)
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media_source, media_id = resolve_media_identity(media=context.media_info)
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torrent_data.append(
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{
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"hash": torrent_hash,
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"domain": domain,
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"title": context.torrent_info.title,
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"description": context.torrent_info.description,
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"size": context.torrent_info.size,
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"pubdate": context.torrent_info.pubdate,
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"site_name": context.torrent_info.site_name,
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"media_name": context.media_info.title
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if context.media_info
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else "",
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"media_year": context.media_info.year if context.media_info else "",
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"media_type": context.media_info.type if context.media_info else "",
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"media_source": media_source,
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"media_id": media_id,
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"music_type": getattr(context.media_info, "music_type", None),
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"season_episode": context.meta_info.season_episode
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if context.meta_info
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else "",
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"resource_term": context.meta_info.resource_term
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if context.meta_info
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else "",
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"enclosure": context.torrent_info.enclosure,
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"page_url": context.torrent_info.page_url,
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"poster_path": context.media_info.get_poster_image()
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if context.media_info
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else "",
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"backdrop_path": context.media_info.get_backdrop_image()
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if context.media_info
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else "",
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}
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)
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return _SchemaResponse(
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success=True,
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data={"count": torrent_count, "sites": len(cache_info), "data": torrent_data},
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)
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@router.delete(
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"/cache/{domain}/{torrent_hash}",
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summary="删除指定种子缓存",
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response_model=_SchemaResponse[None],
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)
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async def delete_cache(
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domain: str,
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torrent_hash: str,
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_: object = Depends(get_current_active_superuser_async),
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):
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"""
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删除指定的种子缓存
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:param domain: 站点域名
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:param torrent_hash: 种子hash(使用title+description的md5)
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:param _: 当前用户,必须是超级用户
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"""
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torrents_chain = TorrentsChain()
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try:
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# 获取当前缓存
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cache_data = await torrents_chain.async_get_torrents()
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if domain not in cache_data:
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return _SchemaResponse(success=False, message=f"站点 {domain} 缓存不存在")
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# 查找并删除指定种子
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original_count = len(cache_data[domain])
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cache_data[domain] = [
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context
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for context in cache_data[domain]
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if HashUtils.md5(
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f"{context.torrent_info.title}{context.torrent_info.description}"
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)
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!= torrent_hash
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]
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if len(cache_data[domain]) == original_count:
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return _SchemaResponse(success=False, message="未找到指定的种子")
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# 保存更新后的缓存:影视与音乐分别回写各自存储文件
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video_cache, music_cache = torrents_chain.split_cache_contexts(cache_data)
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video_file, music_file = torrents_chain.cache_files()
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await torrents_chain.async_save_cache(video_cache, video_file)
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await torrents_chain.async_save_cache(music_cache, music_file)
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return _SchemaResponse(success=True, message="种子删除成功")
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except Exception as e:
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return _SchemaResponse(success=False, message=f"删除失败:{str(e)}")
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@router.delete("/cache", summary="清理种子缓存", response_model=_SchemaResponse[None])
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async def clear_cache(_: object = Depends(get_current_active_superuser_async)):
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"""
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清理所有种子缓存
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"""
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torrents_chain = TorrentsChain()
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try:
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await torrents_chain.async_clear_torrents()
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return _SchemaResponse(success=True, message="种子缓存清理完成")
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except Exception as e:
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return _SchemaResponse(success=False, message=f"清理失败:{str(e)}")
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@router.post("/cache/refresh", summary="刷新种子缓存", response_model=_SchemaResponse[None])
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def refresh_cache(_: object = Depends(get_current_active_superuser)):
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"""
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刷新种子缓存
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"""
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from app.chain.torrents import TorrentsChain
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torrents_chain = TorrentsChain()
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try:
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result = torrents_chain.refresh()
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# 统计刷新结果
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total_count = sum(len(torrents) for torrents in result.values())
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sites_count = len(result)
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return _SchemaResponse(
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success=True,
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message=f"缓存刷新完成,共刷新 {sites_count} 个站点,{total_count} 个种子",
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)
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except Exception as e:
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return _SchemaResponse(success=False, message=f"刷新失败:{str(e)}")
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@router.post(
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"/cache/reidentify/{domain}/{torrent_hash}",
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summary="重新识别种子",
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response_model=_SchemaResponse[_SchemaTorrentReidentifyData],
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)
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async def reidentify_cache(
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domain: str,
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torrent_hash: str,
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media_source: Optional[MediaSource] = None,
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media_id: Optional[str] = None,
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music_type: Optional[MusicTargetEntityType] = None,
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_: object = Depends(get_current_active_superuser_async),
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):
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"""
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重新识别指定的种子
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:param domain: 站点域名
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:param torrent_hash: 种子hash(使用title+description的md5)
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:param media_source: 媒体数据源
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:param media_id: 数据源原生 ID
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:param music_type: 音乐实体类型,仅支持单曲或专辑
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:param _: 当前用户,必须是超级用户
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"""
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try:
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service = TorrentCacheRecognitionService(TorrentsChain(), MediaChain())
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success, message, data = await service.execute(
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domain=domain,
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torrent_hash=torrent_hash,
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media_source=media_source,
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media_id=media_id,
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music_type=music_type,
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)
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return _SchemaResponse(
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success=success,
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message=message,
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data=data,
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)
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except Exception as e:
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return _SchemaResponse(success=False, message=f"重新识别失败:{str(e)}")
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