from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
import os
# Access the token from environment variables
#hf_token = os.environ.get("HF_TOKEN")

from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !
# ok my tool gets weather for <city>
from dotenv import load_dotenv
import os

# Load environment variables from .env file (used for def my_custom_get_weather_info)
load_dotenv()

@tool
#Keep this format for the description / args / args description but feel free to modify
#it's import to specify the return type
#(arg1:str, arg2:int)-> str: 
#     the tool
#   """A tool that does nothing yet 
#    Args:
#        arg1: the first argument
#        arg2: the second argument
#    """
#    return "What magic will you build ?"
def my_custom_get_weather_info(city: str) -> str:
    """A tool that fetches current weather information for a specified city.
    Args:
        city: City name or location (e.g., 'New York', 'Buffalo,NY', 'London,UK', 'London,ON', 'London,Canada')
    """
    try:
        # Get API key from environment variables
        api_key = os.getenv("WEATHER_APIKEY")
        if not api_key:
            return "Error: WEATHER_APIKEY not found in environment variables"
        
        # WeatherAPI.com endpoint
        base_url = "http://api.weatherapi.com/v1/current.json"
        
        params = {
            "key": api_key,
            "q": city,
        }
        
        response = requests.get(base_url, params=params)
        data = response.json()
        
        if response.status_code == 200:
            # Extract data from the WeatherAPI.com response format
            temp_c = data["current"]["temp_c"]
            temp_f = data["current"]["temp_f"]
            condition = data["current"]["condition"]["text"]
            last_updated = data["current"]["last_updated"]
            
            # Extract location information
            location_name = data["location"]["name"]
            country = data["location"]["country"]
            
            # Build location string with all available geographic details
            location_info = f"{location_name}, {country}"
            
            # Add region/state/province if available
            if "region" in data["location"] and data["location"]["region"]:
                location_info = f"{location_name}, {data['location']['region']}, {country}"
                
            # Format the output with both temperature units and location details
            return f"Weather in {location_info}:\n{condition}\nTemperature: {temp_c}°C / {temp_f}°F\nLocal Time: {last_updated}"
        else:
            error_msg = data.get("error", {}).get("message", "Unknown error")
            return f"Error getting weather data: {error_msg}"
    except Exception as e:
        return f"Failed to retrieve weather information: {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:
        # 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='microsoft/Phi-4-mini-instruct',
#not needed if secret added HF_TOKEN and then just api keyy is value api_token=os.environ.get("HF_TOKEN"),
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=[
        my_custom_get_weather_info, 
        get_current_time_in_timezone, 
        image_generation_tool, 
        final_answer
    ],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()