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 ?"

#https://huggingface.co/black-forest-labs/FLUX.1-dev
#@tool
# def image_generation_tool = Tool.from_space(
#     "black-forest-labs/FLUX.1-schnell",
#     name="image_generator",
#     description="Generate an image from a prompt"
# )

#https://zenquotes.io/api/quotes/[YOUR_API_KEY]&keyword=${category}

# @tool
# def zenquotes(category: str) -> str:
#     """
#     Get a quote using the Zenquotes API.

#     Args:
#         category: The category for the quote.
        

#     Returns:
#         A string with the quote.
#     """
#     api_key = "your_api_key"  # Replace with your API key from https://weatherstack.com/
    

#     //url = f"http://api.weatherstack.com/current?access_key={api_key}&query={location}&units={units}"
#     url = f"https://zenquotes.io/api/quotes/[YOUR_API_KEY]&keyword=${category}"
    
#     try:
#         response = requests.get(url)
#         response.raise_for_status()  # Raise an exception for HTTP errors

#         data = response.json()

#         if data.get("error"):  # Check if there's an error in the response
#             return f"Error: {data['error'].get('info', 'Unable to fetch a quote.')}"

#         quote = data["category"][0]

#         return f"Here is your quote about {category}: ."

#     except requests.exceptions.RequestException as e:
#         return f"Error fetching quote: {str(e)}"

#https://github.com/huggingface/smolagents/blob/main/examples/multiple_tools.py
@tool
def get_joke() -> str:
    """
    Fetches a random joke from the JokeAPI.
    This function sends a GET request to the JokeAPI to retrieve a random joke.
    It handles both single jokes and two-part jokes (setup and delivery).
    If the request fails or the response does not contain a joke, an error message is returned.
    Returns:
        str: The joke as a string, or an error message if the joke could not be fetched.
    """
    url = "https://v2.jokeapi.dev/joke/Any?type=single"

    try:
        response = requests.get(url)
        response.raise_for_status()

        data = response.json()

        if "joke" in data:
            return data["joke"]
        elif "setup" in data and "delivery" in data:
            return f"{data['setup']} - {data['delivery']}"
        else:
            return "Error: Unable to fetch joke."

    except requests.exceptions.RequestException as e:
        return f"Error fetching joke: {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='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_joke,], ## 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()