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 get_two_liner_roast(target: str) -> str:
    """Generates a savage two-liner roast reply based on the target string.
    Args:
        target: A string representing the target or context to roast.
    """
    try:
        roasts = [
            f"{target}? That’s not a name, that’s a warning label.",
            f"{target} walks into a room and the Wi-Fi drops out of respect.",
            f"If {target} had a dollar for every smart thing they've said, they'd still be broke.",
            f"{target} thinks a thought and Google files a restraining order.",
            f"{target} makes elevators take the stairs to avoid awkward conversation.",
            f"{target} is the human version of a software update at 2 AM—unwanted and confusing.",
            f"Calling {target} sharp is like calling a spoon a knife—technically wrong and physically impossible.",
        ]
        # Simple randomness based on length hash
        roast = roasts[hash(target) % len(roasts)]
        return roast
    except Exception as e:
        return f"Error generating roast for '{target}': {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)}"

@tool
def funny_hi_response(message: str) -> str:
    """
    Returns a funny or sarcastic response to someone saying 'Hi' or another casual greeting.

    Args:
        message: A greeting message from the user, like 'Hi', 'Hello', or 'Hey'.
    
    Returns:
        A humorous or sarcastic one-liner response.
    """
    import random

    responses = [
        "Oh hey, look who remembered how to type!",
        "Hi? That’s it? After everything we’ve been through?",
        "Welcome back, I almost started enjoying the silence.",
        "Hi there, social butterfly. Slow day?",
        "If I had a nickel for every 'Hi' I got… I’d still be broke.",
        "Wow, a 'Hi'? You sure you didn’t mean to send that to your other assistant?",
        "Hello, mortal. What wisdom dost thou seek today?",
        "Hi. I was hoping for pizza, but I guess you’ll do.",
        "You say 'Hi', I hear 'I'm bored, entertain me.'",
        "A wild user appeared! What shall we do now?"
    ]

    return random.choice(responses)


@tool
def answer_with_duckduckgo(query: str) -> str:
    """Uses DuckDuckGo to search and return an answer to any user question.
    
    Args:
        query: A natural language question from the user.
    Returns:
        A short answer or summary from DuckDuckGo.
    """
    try:
        duck_tool = DuckDuckGoSearchTool()
        result = duck_tool.run(query)
        return result or "No relevant results found, but hey, at least I tried."
    except Exception as e:
        return f"Oops! I ran into an issue while searching: {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_two_liner_roast,get_current_time_in_timezone,funny_hi_response,answer_with_duckduckgo], ## 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()