import requests
import os

from huggingface_hub import list_models
from langchain_community.tools import DuckDuckGoSearchResults
from langchain.tools import Tool
from dotenv import load_dotenv

# Make sure environment variables are loaded
load_dotenv()


def get_weather_info(location: str) -> str:
    """Fetches real weather information for a given location using WeatherAPI.com."""
    api_key = os.getenv("WEATHERAPI_KEY")
    if not api_key:
        return "Error: WeatherAPI key not found. Please set the WEATHERAPI_KEY environment variable."

    base_url = "http://api.weatherapi.com/v1/current.json"
    params = {
        "key": api_key,
        "q": location,
        "aqi": "no"  # You can change this to "yes" if you want air quality info
    }

    try:
        response = requests.get(base_url, params=params)
        data = response.json()

        if response.status_code == 200:
            # Extract relevant information from the response
            location_data = data.get("location", {})
            current_data = data.get("current", {})

            location_name = location_data.get("name", "Unknown")
            region = location_data.get("region", "Unknown")
            country = location_data.get("country", "Unknown")
            temp_c = current_data.get("temp_c", "N/A")
            feelslike_c = current_data.get("feelslike_c", "N/A")
            condition_text = current_data.get("condition", {}).get("text", "N/A")
            humidity = current_data.get("humidity", "N/A")
            wind_kph = current_data.get("wind_kph", "N/A")

            return (
                f"Weather in {location_name}, {region}, {country}: {condition_text}, "
                f"{temp_c}°C (feels like {feelslike_c}°C). Humidity: {humidity}%, Wind: {wind_kph} kph"
            )
        else:
            error_message = data.get("error", {}).get("message", "Unknown error")
            return f"Error fetching weather data: {error_message}"

    except Exception as e:
        return f"An error occurred while fetching weather data: {str(e)}"


# Initialize the tool
weather_info_tool = Tool(
    name="get_weather_info",
    func=get_weather_info,
    description="Fetches real weather information for a given location. Provide the city name and optionally the country code (e.g., 'London' or 'London,UK')."
)


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."
)

search_tool = DuckDuckGoSearchResults()