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

from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
    #Keep this format for the description / args / args description but feel free to modify the tool
    """A tool that does nothing yet 
    Args:
        arg1: the first argument
        arg2: the second argument
    """
    return "What magic will you build ?"

@tool
def calculator(a: int, b: int) -> int:
    """Multiply two integers.
    Args:
        a: the  integer
        b: the  integer
    Returns:
        int: The multiplication of a and b as an int
    """
    return(a*b)

@tool
def get_weekday_of_february_28(start_year: int) -> str:
    """Finds the weekdays for February 28th in the next three leap years after a given year.
    Args:
        start_year: A four-digit year greater than 2024.
    Returns:
        str: A formatted string listing each leap year to the name of the weekday on February 28th.
    """
    if start_year <= 2024:
        raise ValueError("The starting year must be greater than 2024.")
 
    leap_years = []
    year = start_year + 1 # Start checking from the year

    while len(leap_years) < 3:
        # Leap year condition: divisible by 4 and (not divisible by 100 unless also divisible by 400)
        if (year % 4 == 0 and year % 100 != 0) or (year % 400 == 0):
            leap_years.append(year)
        year += 1

    #Get the weekdays for February 28th in those leap years
    weekdays = "\n".join(f"{year}: {datetime(year, 2, 28).strftime('%A')}" for year in leap_years)

    return weekdays

@tool
def currency_converter(amount: float, from_currency: str, to_currency: str) -> str:
    """Converts an amount from one currency to another using live exchange rates.
    
    Args:
        amount: The amount of money to convert (float).
        from_currency: The currency code (str) to convert from (e.g., 'USD').
        to_currency: The currency code (str) to convert to (e.g., 'EUR').
    
    Returns:
        str: A formatted string displaying the converted amount.
    
    Example:
        currency_converter(100, 'USD', 'EUR')
        -> "100 USD is approximately 92.50 EUR"
    """
    
    api_url = f"https://open.er-api.com/v6/latest/{from_currency.upper()}"
    
    try:
        response = requests.get(api_url)
        data = response.json()
        
        if "rates" not in data:
            return "Error fetching exchange rates. Please check the currency codes."
        
        if to_currency.upper() not in data["rates"]:
            return f"Currency {to_currency.upper()} not supported."
        
        exchange_rate = data["rates"][to_currency.upper()]
        converted_amount = round(amount * exchange_rate, 2)
        
        return f"{amount} {from_currency.upper()} is approximately {converted_amount} {to_currency.upper()}"
    
    except requests.RequestException:
        return "Error connecting to the currency exchange API. Please try again later."

@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)}"


final_answer = FinalAnswerTool()

# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 

model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
custom_role_conversions=None,
)


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

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer,calculator,get_weekday_of_february_28,currency_converter],  ## add your tools here (don't remove final answer)
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()