from smolagents import DuckDuckGoSearchTool
from smolagents import Tool
import random
from huggingface_hub import list_models
import requests
from bs4 import BeautifulSoup
import openpyxl
import wikipedia

class WikipediaTool(Tool):
    name = "wikipedia_api"
    description = "Returns the contents of a wikipedia article through a direct API call."
    inputs = {
        "title": {
            "type": "string",
            "description": "The title of the wikipedia article to retrieve."
        }
    }
    output_type = "string"

    def forward(self, title: str):
        page = wikipedia.page(title)
        return page.content

class ExcelTool(Tool):
    name = "read_excel"
    description = "Returns the contents of an Excel file as a Pandas dataframe."
    inputs = {
        "filename": {
            "type": "string",
            "description": "The name of the Excel file to read."
        }
    }
    output_type = "string"

    def forward(self, question: str):
        search_tool = DuckDuckGoSearchTool()
        result = search_tool(question)
        return result

class WebscraperTool(Tool):
    name = "webscraper"
    description = "Returns the page's html content from the input url."
    inputs = {
        "url": {
            "type": "string",
            "description": "The link of the web page to scrape."
        }
    }
    output_type = "string"

    def forward(self, url: str):
        response = requests.get(url, stream=True)
        if response.status_code == 200:
            soup = BeautifulSoup(response.content, 'html.parser')
            html_text = soup.get_text()
            return html_text
        else:
            raise Exception(f"Failed to retrieve the webpage. Status code: {response.status_code}")

# Initialize the DuckDuckGo search tool
class InternetSearchTool(Tool):
    name = "internet_search"
    description = "Searches the internet for the answer to any question input. Returns a long batch of textual information related to the query."
    inputs = {
        "question": {
            "type": "string",
            "description": "The question to retrieve an answer for."
        }
    }
    output_type = "string"

    def forward(self, question: str):
        search_tool = DuckDuckGoSearchTool()
        result = search_tool(question)
        return result


class WeatherInfoTool(Tool):
    name = "weather_info"
    description = "Fetches dummy weather information for a given location."
    inputs = {
        "location": {
            "type": "string",
            "description": "The location to get weather information for."
        }
    }
    output_type = "string"

    def forward(self, location: str):
        # 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"

class HubStatsTool(Tool):
    name = "hub_stats"
    description = "Fetches the most downloaded model from a specific author on the Hugging Face Hub."
    inputs = {
        "author": {
            "type": "string",
            "description": "The username of the model author/organization to find models from."
        }
    }
    output_type = "string"

    def forward(self, author: str):
        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)}"