from langchain.tools import Tool
import random
import os
from huggingface_hub import list_models
# from langchain_tavily import TavilySearch
from langchain_community.tools import DuckDuckGoSearchRun

from dotenv import load_dotenv

load_dotenv()


# Initialize the DuckDuckGo search tool
search_tool = DuckDuckGoSearchRun()



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:
    """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)}"


# def get_latest_news(topic: str) -> str:
#     """Fetches the latest news about a specific topic using Tavily search."""
#     try:
#         # Initialize Tavily search with API key from environment
#         tavily_search = TavilySearch(
#             api_key=os.getenv("TAVILY_API_KEY"),
#             max_results=2,
#             topic="general",
#             search_depth="basic",
#             include_answer=True,
#             include_raw_content=False,
#             include_images=False
#         )

#         # Search for news about the topic
#         response = tavily_search.invoke(
#             {"query": f"latest news about {topic}"})

#         # Handle the correct Tavily response format
#         if isinstance(response, dict) and 'results' in response:
#             results = response['results']
#             answer = response.get('answer', '')

#             if results:
#                 # Format the results nicely
#                 formatted_news = f"📰 Latest News about '{topic}':\n\n"

#                 # Add AI-generated answer if available
#                 if answer:
#                     formatted_news += f"🤖 **Quick Summary**: {answer}\n\n"

#                 # Add detailed results
#                 formatted_news += "📋 **Detailed Results**:\n\n"
#                 for i, result in enumerate(results, 1):
#                     title = result.get('title', 'No title')
#                     content = result.get('content', 'No content available')
#                     url = result.get('url', 'No URL')
#                     score = result.get('score', 0)

#                     formatted_news += f"{i}. **{title}**\n"
#                     formatted_news += f"   📄 Summary: {content}\n"
#                     formatted_news += f"   🔗 Source: {url}\n"
#                     formatted_news += f"   ⭐ Relevance: {score:.2f}\n\n"

#                 return formatted_news
#             else:
#                 return f"No recent news found about '{topic}'. Please try a different search term."
#         else:
#             return f"Unexpected response format from search. Raw response: {str(response)[:500]}..."

#     except Exception as e:
#         return f"Error fetching news about '{topic}': {str(e)}. Please check your Tavily API key and try again."


weather_info_tool = Tool(
    name="weather_info",
    func=get_weather_info,
    description="Fetches dummy weather information for a given location."
)

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

# news_search_tool = Tool(
#     name="news_search",
#     func=get_latest_news,
#     description="Fetches the latest news about a specific topic using Tavily search. Provide a topic or keyword to search for recent news articles."
# )

news_search_tool = search_tool