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_city_weather_brief(city: str) -> str:
    """Fetch today's temperature and rain chance for a city (using Open-Meteo geocoding + forecast).
    Args:
        city: City name, e.g., 'London'
    """
    try:
        geo = requests.get("https://geocoding-api.open-meteo.com/v1/search", params={"name": city, "count": 1}).json()
        if not geo.get("results"):
            return f"Could not find coordinates for '{city}'."
        lat = geo["results"][0]["latitude"]
        lon = geo["results"][0]["longitude"]
        forecast = requests.get("https://api.open-meteo.com/v1/forecast", params={
            "latitude": lat, "longitude": lon, "hourly": "temperature_2m,precipitation_probability",
            "current_weather": True, "timezone": "auto"
        }).json()
        cw = forecast.get("current_weather", {})
        temp = cw.get("temperature")
        rain_probs = forecast.get("hourly", {}).get("precipitation_probability", [])
        likely_rain = max(rain_probs[:12]) if rain_probs else 0
        suggestion = "Great for a walk." if (temp is not None and temp >= 18 and likely_rain < 30) else "Maybe plan indoor activities."
        return f"{city}: {temp}°C now. Max rain chance (next 12h): {likely_rain}%. Suggestion: {suggestion}"
    except Exception as e:
        return f"Weather error for '{city}': {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], ## 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()