from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
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 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 get_weather_forecast(city: str) -> str:
    """Fetches the weather forecast for the next 7 days using a free API (wttr.in).
    
    Args:
        city: The name of the city (e.g., 'Valencia', 'Madrid').
    
    Returns:
        A formatted 7-day weather forecast.
    """
    try:
        url = f"https://wttr.in/{city}?format=j1&lang=es"
        response = requests.get(url)

        if response.status_code != 200:
            return f"❌ Error: No pude obtener el clima para {city}. Verifica el nombre de la ciudad."

        data = response.json()

        forecast = f"🌤️ Pronóstico del tiempo en {city} para los próximos 7 días:\n"
        
        for day in data["weather"]:
            date = day["date"]
            avg_temp = day["avgtempC"]
            condition = day["hourly"][4]["weatherDesc"][0]["value"]  # Clima a medio día

            forecast += f"- 📅 {date}: {avg_temp}°C, {condition}\n"

        return forecast

    except Exception as e:
        return f"❌ Error al obtener el clima: {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, get_weather_forecast, get_current_time_in_timezone], ## 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()