from llama_index.core.tools import FunctionTool
from llama_index.tools.duckduckgo import DuckDuckGoSearchToolSpec
import random
from huggingface_hub import list_models

def get_weather_info(location: str) -> str:
    """Fetches dummy weather information for a given location."""
    # Dummy weather data
    weather_conditions = [
        {"condition": "Rainy", "temp_c": 15},
        {"condition": "Clear", "temp_c": 25},
        {"condition": "Windy", "temp_c": 20}
    ]
    # Randomly select a weather condition
    data = random.choice(weather_conditions)
    return f"Weather in {location}: {data['condition']}, {data['temp_c']}°C"
    
def get_hub_stats(author: str) -> str:
    try:
        model = list(list_models(author=author, sort="downloads", direction=-1, limit=1))
        if model:
            model = model[0]
            return f"Model: {model.modelId}, Downloads: {model.downloads}"
        else:
            return "No models found for the specified author."
    except Exception as e:
        return f"Error fetching model for {author}: {str(e)}"


get_weather_info_tool = FunctionTool.from_defaults(get_weather_info)
get_hub_stats_tool = FunctionTool.from_defaults(get_hub_stats)
search_tool = FunctionTool.from_defaults(DuckDuckGoSearchToolSpec().duckduckgo_full_search)