from smolagents import CodeAgent, 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) -> str:
    """
    Fetches current weather for a given city using OpenWeatherMap API.

    Args:
        city: Name of the city (e.g., "Paris", "Tunis")

    Returns:
        A string describing the current weather.
    """
    try:
        api_key = "5499415a1e8327b9200f4df7eb114c11"

        # Step 1: Get coordinates
        geo_url = f"http://api.openweathermap.org/geo/1.0/direct?q={city}&limit=1&appid={api_key}"
        geo_response = requests.get(geo_url).json()

        if not geo_response:
            return f"City '{city}' not found."

        lat = geo_response[0]["lat"]
        lon = geo_response[0]["lon"]

        # Step 2: Get weather
        weather_url = f"https://api.openweathermap.org/data/3.0/onecall?lat={lat}&lon={lon}&exclude=minutely,hourly,daily,alerts&appid={api_key}&units=metric"
        weather_data = requests.get(weather_url).json()

        description = weather_data["current"]["weather"][0]["description"]
        temp = weather_data["current"]["temp"]

        return f"The current weather in {city} is '{description}' with a temperature of {temp}°C."

    except Exception as e:
        return f"Error fetching weather: {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:
        tz = pytz.timezone(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()
model = InferenceClientModel(
    max_tokens=2096,
    temperature=0.5,
    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
    custom_role_conversions=None,
)

# 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, 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()