from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
import datetime
import requests
import pytz
import yaml
import json
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI

# Weather API Tool
@tool
def get_weather(location: str) -> str:
    """A tool that fetches current weather for a specified location.
    Args:
        location: A string representing a city or location (e.g., 'New York', 'London, UK').
    """
    try:
        # Using open-meteo API which doesn't require API key
        # First get coordinates
        geocoding_url = f"https://geocoding-api.open-meteo.com/v1/search?name={location}&count=1"
        geocoding_response = requests.get(geocoding_url)
        geocoding_data = geocoding_response.json()
        
        if not geocoding_data.get("results"):
            return f"Could not find location: {location}"
            
        lat = geocoding_data["results"][0]["latitude"]
        lon = geocoding_data["results"][0]["longitude"]
        city_name = geocoding_data["results"][0]["name"]
        
        # Now get weather
        weather_url = f"https://api.open-meteo.com/v1/forecast?latitude={lat}&longitude={lon}&current=temperature_2m,wind_speed_10m,relative_humidity_2m,precipitation,weather_code"
        weather_response = requests.get(weather_url)
        weather_data = weather_response.json()
        
        current = weather_data["current"]
        temperature = current["temperature_2m"]
        wind_speed = current["wind_speed_10m"]
        humidity = current["relative_humidity_2m"]
        precipitation = current["precipitation"]
        
        # Weather code to text mapping
        weather_codes = {
            0: "Clear sky",
            1: "Mainly clear", 2: "Partly cloudy", 3: "Overcast",
            45: "Fog", 48: "Depositing rime fog",
            51: "Light drizzle", 53: "Moderate drizzle", 55: "Dense drizzle",
            61: "Slight rain", 63: "Moderate rain", 65: "Heavy rain",
            71: "Slight snow fall", 73: "Moderate snow fall", 75: "Heavy snow fall",
            80: "Slight rain showers", 81: "Moderate rain showers", 82: "Violent rain showers",
            95: "Thunderstorm", 96: "Thunderstorm with slight hail", 99: "Thunderstorm with heavy hail"
        }
        
        weather_description = weather_codes.get(current["weather_code"], "Unknown")
        
        return f"Current weather in {city_name}: {weather_description}, {temperature}°C, {wind_speed}km/h wind, {humidity}% humidity, {precipitation}mm precipitation"
    
    except Exception as e:
        return f"Error fetching weather for '{location}': {str(e)}"

@tool
def get_current_time_in_timezone(timezone: str) -> str:
    """A tool that fetches the current local time in a specified timezone.
    Args:
        timezone: A string representing a valid timezone (e.g., 'America/New_York').
    """
    try:
        # Create timezone object
        tz = pytz.timezone(timezone)
        # Get current time in that timezone
        local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
        return f"The current local time in {timezone} is: {local_time}"
    except Exception as e:
        return f"Error fetching time for timezone '{timezone}': {str(e)}"

@tool
def currency_converter(amount: float, from_currency: str, to_currency: str) -> str:
    """A tool that converts an amount from one currency to another using latest exchange rates.
    Args:
        amount: The amount to convert
        from_currency: The source currency code (e.g., 'USD')
        to_currency: The target currency code (e.g., 'EUR')
    """
    try:
        # Using ExchangeRate API
        url = f"https://open.er-api.com/v6/latest/{from_currency.upper()}"
        response = requests.get(url)
        data = response.json()
        
        if data["result"] != "success":
            return f"Error: Could not fetch exchange rates for {from_currency}"
            
        if to_currency.upper() not in data["rates"]:
            return f"Error: Target currency {to_currency} not found"
            
        rate = data["rates"][to_currency.upper()]
        converted_amount = amount * rate
        
        return f"{amount} {from_currency.upper()} = {converted_amount:.2f} {to_currency.upper()} (Rate: 1 {from_currency.upper()} = {rate} {to_currency.upper()})"
    
    except Exception as e:
        return f"Error converting currency: {str(e)}"

@tool
def stock_price_lookup(ticker: str) -> str:
    """A tool that looks up the latest stock price for a given ticker symbol.
    Args:
        ticker: The stock ticker symbol (e.g., 'AAPL' for Apple Inc.)
    """
    try:
        # Using Alpha Vantage API (free tier, limited to 25 requests per day)
        # Note: In a production environment, you'd want to use a proper API key
        url = f"https://www.alphavantage.co/query?function=GLOBAL_QUOTE&symbol={ticker}&apikey=demo"
        response = requests.get(url)
        data = response.json()
        
        if "Global Quote" not in data or not data["Global Quote"]:
            return f"Could not find data for ticker: {ticker}"
            
        quote = data["Global Quote"]
        price = quote.get("05. price", "N/A")
        change = quote.get("09. change", "N/A")
        change_percent = quote.get("10. change percent", "N/A")
        
        return f"{ticker} current price: ${price} (Change: {change} / {change_percent})"
    
    except Exception as e:
        return f"Error looking up stock price for '{ticker}': {str(e)}"

final_answer = FinalAnswerTool()
model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
    custom_role_conversions=None,
)

# Import tool from Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
search_tool = DuckDuckGoSearchTool()

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[
        final_answer,
        get_current_time_in_timezone,
        get_weather,
        currency_converter,
        stock_price_lookup,
        image_generation_tool,
        search_tool
    ],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

GradioUI(agent).launch()