from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from huggingface_hub import login

import os

# Retrieve the token from the environment
HF_TOKEN = os.getenv("HF_TOKEN")
print(HF_TOKEN)
# Log in with the token
# Ensure the token is set before logging in
if HF_TOKEN:
    login(HF_TOKEN)
    print("Successfully logged in to Hugging Face!")
else:
    raise ValueError("HF_TOKEN is not set! Add it as an environment variable in your Hugging Face Space settings.")


from Gradio_UI import GradioUI

# Import tool from Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)

# 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_latest_city_news(city: str) -> str:
    """Fetches the latest news about a specified city.
    
    Args:
        city: The name of the city to search for news.
    """
    try:
        search_tool = DuckDuckGoSearchTool()
        query = f"Latest news about {city}"

        # Wait 5 seconds before making the request to avoid rate limit issues
        time.sleep(5)  
        
        results = search_tool.forward(query)
        print("News Fetch Response:", results)

        if results:
            news_summary = "\n".join([f"- {res['title']} ({res['href']})" for res in results[:5]])
            return f"Here are the latest news articles about {city}:\n{news_summary}"
        else:
            return f"Sorry, I couldn't find any recent news about {city}."
    except Exception as e:
        return f"Error fetching news: {str(e)}"

@tool

def generate_city_image(city: str) -> str:
    """Generates an AI-generated image of the specified city.
    
    Args:
        city: The name of the city to generate an image for.
    
    Returns:
        A URL of the generated image or an error message.
    """
    try:
        prompt = f"A beautiful landscape of {city}, showing famous landmarks and skyline."
        result = image_generation_tool.forward(prompt)

        # Debugging: Print result to check its structure
        print("Image Generation Response:", result)

        # Check if the result contains the expected data
        if isinstance(result, dict) and "image_url" in result:
            image_url = result["image_url"]
            return f"Here is an image of {city}: {image_url}"
        else:
            return f"Error: Unexpected response from the image generation tool. Response: {result}"
    
    except Exception as e:
        return f"Error generating image: {str(e)}"

@tool
def get_joke_city(city: str) -> str:
    """Returns a funny joke related to the specified city.
    
    Args:
        city: The name of the city.

    Returns:
        A joke about the city.
    """
    return f"The city of {city} is a funny city!"


    
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
)




with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer, get_latest_city_news, get_current_time_in_timezone, generate_city_image, get_joke_city], ## 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()