from langchain_community.retrievers import BM25Retriever
from langchain.tools import Tool
from langchain_community.tools import DuckDuckGoSearchRun
from huggingface_hub import list_models
import random
from retriever import docs
import requests

#知识库检索工具
bm25_retriever = BM25Retriever.from_documents(docs)

def extract_text(query: str) -> str:
    """Retrieves detailed information about gala guests based on their name or relation."""
    results = bm25_retriever.invoke(query)
    if results:
        return "\n\n".join([doc.page_content for doc in results[:3]])
    else:
        return "No matching guest information found."

guest_info_tool = Tool(
    name="guest_info_retriever",
    func=extract_text,
    description="Retrieves detailed information about gala guests based on their name or relation."
)


#网络搜索工具
search_tool = DuckDuckGoSearchRun()

#天气查询工具
def get_weather_info(location: str) -> str:
    """Fetches weather information from wttr.in for a given location."""
    url = f"https://wttr.in/{location}?format=3"  # 简洁格式：City: +天气 +温度
    try:
        response = requests.get(url, timeout=10)
        return response.text
    except Exception as e:
        return f"Error fetching weather: {str(e)}"

# 初始化工具
weather_info_tool = Tool(
    name="get_weather_info",
    func=get_weather_info,
    description="Fetches dummy weather information for a given location."
)

#为有影响力的 AI 开发者创建 Hub 统计工具

def get_hub_stats(author: str) -> str:
    """Fetches the most downloaded model from a specific author on the Hugging Face Hub."""
    try:
        # 列出指定作者的模型，按下载次数排序
        models = list(list_models(author=author, sort="downloads", direction=-1, limit=1))

        if models:
            model = models[0]
            return f"The most downloaded model by {author} is {model.id} with {model.downloads:,} downloads."
        else:
            return f"No models found for author {author}."
    except Exception as e:
        return f"Error fetching models for {author}: {str(e)}"

# 初始化工具
hub_stats_tool = Tool(
    name="get_hub_stats",
    func=get_hub_stats,
    description="Fetches the most downloaded model from a specific author on the Hugging Face Hub."
)