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 ?"

@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)}"




##########################
#   Restaurant Tools     #
##########################

@tool

def summarize_top_pizza_places(search_results: str) -> str:
    """
    A tool that takes raw search results from DuckDuckGoSearchTool (in text form)
    and attempts to figure out the top pizza place based on reviews or links.
    
    Because the search results come in as text, we can parse or heuristically
    find the best pizza place. Here we'll do a simplistic approach. 
    In a more advanced setup, you'd do real scraping or structured parsing.
    Args:
        search_results: The text returned by a search tool
    Returns:
        A short summary of the best pizza place or a guessed name.
    """

    lines = search_results.splitlines()
    best_place = None

    for line in lines:
        if "best" in line.lower() or "top" in line.lower():
            best_place = line
            break

    if best_place:
        return f"I found a recommended pizza place: '{best_place}'"
    else:
        return f"I couldn't parse the top pizza place from these results. Maybe check manually?"




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)

# DuckDuckGo Search tool for retrieving web search results
search_tool = DuckDuckGoSearchTool()

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[search_tool, summarize_top_pizza_places, 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()