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

@tool
def get_weather(city: str) -> dict:
    """
    A tool that fetches the current weather information for a given city.
    
    Args:
        city (str): The name of the city to retrieve the weather for.
    
    Returns:
        dict: A dictionary containing temperature (°C), windspeed (km/h), 
              weather code, and time of the observation.
    """
    
    import requests

    # 1. Geocodificación: convertir ciudad -> lat/lon
    geo_url = f"https://geocoding-api.open-meteo.com/v1/search?name={city}&count=1&language=en&format=json"
    geo_response = requests.get(geo_url)
    if geo_response.status_code != 200 or "results" not in geo_response.json():
        return "Error: City not found"

    location = geo_response.json()["results"][0]
    lat, lon = location["latitude"], location["longitude"]

    # 2. Obtener datos de tiempo actual
    api_url = f"https://api.open-meteo.com/v1/forecast?latitude={lat}&longitude={lon}&current_weather=true"
    response = requests.get(api_url)

    if response.status_code == 200:
        data = response.json()
        weather = data.get("current_weather", {})
        if weather:
            return {
                "temperature": weather.get("temperature"),
                "windspeed": weather.get("windspeed"),
                "weathercode": weather.get("weathercode"),
                "time": weather.get("time")
            }
        else:
            return {"Error": "No weather information available"}
    else:
        return {"Error": "Unable to fetch weather data."}

@tool
def multiply_integers(a: int, b: int) -> str:
    """
    A tool that multiplies two integers and returns the result as a string.

    Args:
        a (int): The first integer.
        b (int): The second integer.

    Returns:
        str: A string describing the multiplication result.
    """
    result = a * b
    return f"The result of multiplying {a} by {b} is {result}."


@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, get_weather, multiply_integers], ## 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()