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

from Gradio_UI import GradioUI

@tool
def calculate_mcm_mcd(num1: int, num2: int) -> dict:
    """Calcula los primeros 10 múltiplos comunes mínimos (MCM) y divisores comunes máximos (MCD) de dos números.

    Args:
        num1: Primer número entero.
        num2: Segundo número entero.

    Returns:
        Un diccionario con:
        - Lista de los primeros 10 MCM.
        - Lista de los primeros 10 MCD.
    """
    try:
        gcd_value = math.gcd(num1, num2)
        mcm_list = [math.lcm(num1, num2) * i for i in range(1, 11)]
        mcd_list = [i for i in range(1, gcd_value + 1) if gcd_value % i == 0][:10]

        return {
            "MCM": mcm_list,
            "MCD": mcd_list
        }
    
    except Exception as e:
        return {"Error": f"Ocurrió un error: {str(e)}"}

@tool
def get_time_by_city(city: str) -> str:
    """Obtiene la hora local en una ciudad específica.
    
    Args:
        city: Nombre de la ciudad (Ejemplo: 'America/Lima')
    
    Returns:
        Hora actual en la ciudad dada.
    """
    try:
        tz = pytz.timezone(city)
        local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
        return f"La hora en {city} es {local_time}."
    except Exception as e:
        return f"Error al obtener la hora para '{city}': {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=[calculate_mcm_mcd, get_time_by_city, final_answer], ## 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()