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)}"

@tool
def get_stock_price(stock: str) -> str:
    """Fetches the current stock price using DuckDuckGo search.
    
    Args:
        stock: A string representing a stock ticker or company name (e.g., 'AAPL', 'GOOGL').
    
    Returns:
        A string with the stock price or an error message.
    """
    try:
        # Initialize the search tool
        search_tool = DuckDuckGoSearchTool()
        
        # Perform the search query
        search_results = search_tool.run(f"what is the current price of {stock}?")
        
        # If search_results is a list, extract the first relevant result
        if isinstance(search_results, list) and len(search_results) > 0:
            return f"The current price for {stock} is: {search_results[0]}"
        
        return f"Could not fetch stock price for {stock}. Please try again."
    
    except Exception as e:
        return f"Error fetching price for stock '{stock}': {str(e)}"

@tool
def web_search(query: str) -> str:
    """Fetches the result from a web search.
    
    Args:
        stock: A string representing a query or question.
    
    Returns:
        A string with the answer of the search.
    """
    try:
        # Initialize the search tool
        search_tool = DuckDuckGoSearchTool()
        
        # Perform the search query
        search_results = search_tool.run(query)
        
        # If search_results is a list, extract the first relevant result
        if isinstance(search_results, list) and len(search_results) > 0:
            return {search_results[0]}"
        
        return f"Could not find {stock}. Please try again."
    
    except Exception as e:
        return f"Error finding '{stock}': {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
model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
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()