mirror of
https://github.com/jxxghp/MoviePilot.git
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174 lines
9.4 KiB
Python
174 lines
9.4 KiB
Python
"""获取推荐工具"""
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import json
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from typing import Optional, Type
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from pydantic import BaseModel, Field
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from app.agent.tools.base import MoviePilotTool
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from app.chain.recommend import RecommendChain
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from app.log import logger
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class GetRecommendationsInput(BaseModel):
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"""获取推荐工具的输入参数模型"""
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explanation: str = Field(..., description="Clear explanation of why this tool is being used in the current context")
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source: Optional[str] = Field("tmdb_trending",
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description="Recommendation source: "
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"'tmdb_trending' for TMDB trending content, "
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"'tmdb_movies' for TMDB popular movies, "
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"'tmdb_tvs' for TMDB popular TV shows, "
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"'douban_hot' for Douban popular content, "
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"'douban_movie_hot' for Douban hot movies, "
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"'douban_tv_hot' for Douban hot TV shows, "
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"'douban_movie_showing' for Douban movies currently showing, "
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"'douban_movies' for Douban latest movies, "
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"'douban_tvs' for Douban latest TV shows, "
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"'douban_movie_top250' for Douban movie TOP250, "
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"'douban_tv_weekly_chinese' for Douban Chinese TV weekly chart, "
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"'douban_tv_weekly_global' for Douban global TV weekly chart, "
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"'douban_tv_animation' for Douban popular animation, "
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"'bangumi_calendar' for Bangumi anime calendar")
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media_type: Optional[str] = Field("all",
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description="Allowed values: movie, tv, all")
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limit: Optional[int] = Field(20,
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description="Maximum number of recommendations to return (default: 20, maximum: 100)")
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class GetRecommendationsTool(MoviePilotTool):
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name: str = "get_recommendations"
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description: str = "Get trending and popular media recommendations from various sources. Returns curated lists of popular movies, TV shows, and anime based on different criteria like trending, ratings, or calendar schedules."
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args_schema: Type[BaseModel] = GetRecommendationsInput
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def get_tool_message(self, **kwargs) -> Optional[str]:
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"""根据推荐参数生成友好的提示消息"""
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source = kwargs.get("source", "tmdb_trending")
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media_type = kwargs.get("media_type", "all")
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limit = kwargs.get("limit", 20)
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source_map = {
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"tmdb_trending": "TMDB流行趋势",
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"tmdb_movies": "TMDB热门电影",
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"tmdb_tvs": "TMDB热门电视剧",
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"douban_hot": "豆瓣热门",
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"douban_movie_hot": "豆瓣热门电影",
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"douban_tv_hot": "豆瓣热门电视剧",
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"douban_movie_showing": "豆瓣正在热映",
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"douban_movies": "豆瓣最新电影",
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"douban_tvs": "豆瓣最新电视剧",
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"douban_movie_top250": "豆瓣电影TOP250",
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"douban_tv_weekly_chinese": "豆瓣国产剧集榜",
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"douban_tv_weekly_global": "豆瓣全球剧集榜",
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"douban_tv_animation": "豆瓣热门动漫",
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"bangumi_calendar": "番组计划"
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}
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source_desc = source_map.get(source, source)
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message = f"正在获取推荐: {source_desc}"
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if media_type != "all":
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message += f" [{media_type}]"
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message += f" (限制: {limit}条)"
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return message
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async def run(self, source: Optional[str] = "tmdb_trending",
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media_type: Optional[str] = "all", limit: Optional[int] = 20, **kwargs) -> str:
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logger.info(f"执行工具: {self.name}, 参数: source={source}, media_type={media_type}, limit={limit}")
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try:
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if media_type not in ["all", "movie", "tv"]:
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return f"错误:无效的媒体类型 '{media_type}',支持的类型:'movie', 'tv', 'all'"
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recommend_chain = RecommendChain()
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results = []
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if source == "tmdb_trending":
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# async_tmdb_trending 只接受 page 参数,返回固定数量的结果
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# 如果需要限制数量,需要在返回后截取
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results = await recommend_chain.async_tmdb_trending(page=1)
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if limit and limit > 0:
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results = results[:limit]
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elif source == "tmdb_movies":
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# async_tmdb_movies 接受 page 参数,返回固定数量的结果
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results = await recommend_chain.async_tmdb_movies(page=1)
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if limit and limit > 0:
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results = results[:limit]
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elif source == "tmdb_tvs":
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# async_tmdb_tvs 接受 page 参数,返回固定数量的结果
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results = await recommend_chain.async_tmdb_tvs(page=1)
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if limit and limit > 0:
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results = results[:limit]
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elif source == "douban_hot":
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if media_type == "movie":
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results = await recommend_chain.async_douban_movie_hot(page=1, count=limit)
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elif media_type == "tv":
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results = await recommend_chain.async_douban_tv_hot(page=1, count=limit)
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else: # all
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results.extend(await recommend_chain.async_douban_movie_hot(page=1, count=limit))
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results.extend(await recommend_chain.async_douban_tv_hot(page=1, count=limit))
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elif source == "douban_movie_hot":
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results = await recommend_chain.async_douban_movie_hot(page=1, count=limit)
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elif source == "douban_tv_hot":
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results = await recommend_chain.async_douban_tv_hot(page=1, count=limit)
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elif source == "douban_movie_showing":
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results = await recommend_chain.async_douban_movie_showing(page=1, count=limit)
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elif source == "douban_movies":
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results = await recommend_chain.async_douban_movies(page=1, count=limit)
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elif source == "douban_tvs":
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results = await recommend_chain.async_douban_tvs(page=1, count=limit)
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elif source == "douban_movie_top250":
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results = await recommend_chain.async_douban_movie_top250(page=1, count=limit)
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elif source == "douban_tv_weekly_chinese":
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results = await recommend_chain.async_douban_tv_weekly_chinese(page=1, count=limit)
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elif source == "douban_tv_weekly_global":
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results = await recommend_chain.async_douban_tv_weekly_global(page=1, count=limit)
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elif source == "douban_tv_animation":
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results = await recommend_chain.async_douban_tv_animation(page=1, count=limit)
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elif source == "bangumi_calendar":
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results = await recommend_chain.async_bangumi_calendar(page=1, count=limit)
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else:
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# 不支持的推荐来源
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supported_sources = [
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"tmdb_trending", "tmdb_movies", "tmdb_tvs",
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"douban_hot", "douban_movie_hot", "douban_tv_hot",
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"douban_movie_showing", "douban_movies", "douban_tvs",
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"douban_movie_top250", "douban_tv_weekly_chinese",
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"douban_tv_weekly_global", "douban_tv_animation",
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"bangumi_calendar"
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]
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return f"不支持的推荐来源: {source}。支持的来源包括: {', '.join(supported_sources)}"
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if results:
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# 限制最多20条结果
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total_count = len(results)
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limited_results = results[:20]
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# 精简字段,只保留关键信息
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simplified_results = []
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for r in limited_results:
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# r 应该是字典格式(to_dict的结果),但为了安全起见进行检查
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if not isinstance(r, dict):
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logger.warning(f"推荐结果格式异常,跳过: {type(r)}")
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continue
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simplified = {
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"title": r.get("title"),
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"en_title": r.get("en_title"),
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"year": r.get("year"),
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"type": r.get("type"),
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"season": r.get("season"),
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"tmdb_id": r.get("tmdb_id"),
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"imdb_id": r.get("imdb_id"),
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"douban_id": r.get("douban_id"),
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"vote_average": r.get("vote_average"),
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"poster_path": r.get("poster_path"),
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"detail_link": r.get("detail_link")
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}
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simplified_results.append(simplified)
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result_json = json.dumps(simplified_results, ensure_ascii=False, indent=2)
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# 如果结果被裁剪,添加提示信息
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if total_count > 20:
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return f"注意:推荐结果共找到 {total_count} 条,为节省上下文空间,仅显示前 20 条结果。\n\n{result_json}"
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return result_json
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return "未找到推荐内容。"
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except Exception as e:
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logger.error(f"获取推荐失败: {e}", exc_info=True)
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return f"获取推荐时发生错误: {str(e)}"
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