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_weather_by_location(location_str: str) -> str:
    """
    Get weather data for a location name without requiring API keys.
    
    Args:
        location_str (str): Name of location (e.g., "New York City" or "Paris, France")
        
    Returns:
        dict: Weather data including location details and forecast
    """
    try:
        # Step 1: Convert location string to coordinates using Nominatim (OpenStreetMap)
        # This geocoding service is free and doesn't require an API key
        geocode_url = "https://nominatim.openstreetmap.org/search"
        geocode_params = {
            "q": location_str,
            "format": "json",
            "limit": 1
        }
        headers = {
            "User-Agent": "WeatherApp/1.0"  # OSM requires a user agent
        }
        
        geocode_response = requests.get(geocode_url, params=geocode_params, headers=headers)
        geocode_response.raise_for_status()
        
        geocode_data = geocode_response.json()
        if not geocode_data:
            raise ValueError(f"Location '{location_str}' not found")
        
        # Extract coordinates and location details
        latitude = float(geocode_data[0]["lat"])
        longitude = float(geocode_data[0]["lon"])
        location_name = geocode_data[0]["display_name"]
        
        # Step 2: Get weather data from OpenMeteo using the coordinates
        weather_url = "https://api.open-meteo.com/v1/forecast"
        weather_params = {
            "latitude": latitude,
            "longitude": longitude,
            "current": "temperature_2m,relative_humidity_2m,weather_code,wind_speed_10m",
            "hourly": "temperature_2m",
            "daily": "weather_code,temperature_2m_max,temperature_2m_min,sunrise,sunset",
            "timezone": "auto"
        }
        
        weather_response = requests.get(weather_url, params=weather_params)
        weather_response.raise_for_status()
        
        weather_data = weather_response.json()
        
        # Step 3: Combine location and weather data
        result = {
            "location": {
                "name": location_name,
                "latitude": latitude,
                "longitude": longitude
            },
            "weather": weather_data
        }
        
        return result
    
    except requests.exceptions.RequestException as e:
        print(f"Error making request: {e}")
        raise
    except ValueError as e:
        print(f"Value error: {e}")
        raise
    except Exception as e:
        print(f"Unexpected error: {e}")
        raise

@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=[get_weather_by_location,get_current_time_in_timezone,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()