# Tool Section

from langchain.tools import Tool
from huggingface_hub import list_models
import requests
import os
from tavily import TavilyClient

def internet_search_tool(query: str) -> str:
    """Fetches information, news, etc from internet."""
    client = TavilyClient(os.getenv("TAVILY_API_KEY"))
    response = client.search(query=query)
    return response

search_tool = Tool(
    name="internet_search_tool",
    func=internet_search_tool,
    description="Fetches information, news, etc from internet."
)

def get_weather_info(city: str) -> str:
    """Fetches the current weather information of specific city."""
    weather_api = "http://api.weatherapi.com/v1/current.json?q={city}".format(city=city)
    weather_api_response = requests.get(weather_api, headers={"key":os.getenv("WEATHER_API_KEY")})
    if weather_api_response.status_code == 200:
        return weather_api_response.text
    return "Problem at moment with API requests, please try after some time"

weather_info_tool = Tool(
    name="get_weather_info",
    func=get_weather_info,
    description="Fetches the current weather information of specific city."
)

def get_hub_stats(author: str) -> str:
    """Fetches the most downloaded model from a specific author on the Hugging Face Hub."""
    try:
        # List models from the specified author, sorted by downloads
        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)}"

# Initialize the tool
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."
)