from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import smolagents  # Make sure to import smolagents
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
# Tool 1: Ask for favorite weather and return a place with that weather
def weather_tool(agent_input: str) -> str:
    """
    This tool asks for the user's favorite weather and returns a place where that weather is currently happening.
    
    Args:
        agent_input (str): The favorite weather type input by the user (e.g., 'sunny', 'rainy').
        
    Returns:
        str: A message indicating a place with the current weather type.
    """
    # Predefined weather types and corresponding places (this can be expanded)
    weather_to_places = {
        "sunny": "Los Angeles, USA",
        "rainy": "London, UK",
        "snowy": "Moscow, Russia",
        "cloudy": "Vancouver, Canada",
        "stormy": "Miami, USA"
    }

    # Find the corresponding place for the favorite weather
    weather = agent_input.lower()
    if weather in weather_to_places:
        return f"Your favorite weather is {weather}, and a place with such weather is {weather_to_places[weather]}."
    else:
        return "Sorry, I couldn't find a place with that weather type."

# Register the tool in Smolagents
#tool_1 = smolagents.Tool(name="FavoriteWeather", function=weather_tool)

# Register the tool
tool_1 = smolagents.tools.Tool(name="FavoriteWeather", function=weather_tool)

# Example of running the agent directly with the tool
#agent = smolagents.agents.Agent()  # Use this if `Agent` is the correct class
#agent.add_tool(tool_1)  # Add tool to agent

#response = agent.run("sunny")  # Run the tool with an example input
#print(response)  # Should print the response for "sunny" weather

# Tool 2: Ask for favorite color and return a shape associated with it
# def color_shape_tool(agent_input: str):
    # Predefined colors and shapes (this can be expanded)
#    color_to_shape = {
#        "red": "circle",
#        "blue": "square",
#        "green": "triangle",
#        "yellow": "rectangle",
#        "purple": "pentagon"
#    }

    # Find the corresponding shape for the favorite color
#    color = agent_input.lower()
#    if color in color_to_shape:
#        return f"Your favorite color is {color}, and the shape associated with it is a {color_to_shape[color]}."
#    else:
#        return "Sorry, I don't know a shape for that color."

# Register the tool in Smolagents
#tool_2 = smolagents.Tool(name="FavoriteColorShape", function=color_shape_tool)

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()