from smolagents import CodeAgent, DuckDuckGoSearchTool, LiteLLMModel, load_tool, tool
import datetime
import os
import pytz
import requests
import yaml
import yfinance as yf
from tools.final_answer import FinalAnswerTool

from Gradio_UI import GradioUI

# Tool of getting the stock price for a given stock symbol
@tool
def get_stock_price(stock_symbol: str)-> str: 
    """A tool that get the stock price for a given stock symbol by using the Yahoo Finance API.
    Args:
        stock_symbol: stock ticker symbol which is typically 1 to 5 letters long and is used to
            identify a publicly traded company's shares on a stock exchange, e.g., MSFT, AMZN.

    Returns:
        one sentence which contains the current stock price in dollars if the Yahoo Finance API
        call succeeds and one error message otherwise.
    """
    try:
        ticker = yf.Ticker(stock_symbol.upper())
        price = ticker.info["regularMarketPrice"]
        return f"The current stock price of {stock_symbol.upper()} is ${price:.2f}."
    except Exception as e:
        return f"Failed to retrieve stock price for {stock_symbol}: {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)}"

search_tool = DuckDuckGoSearchTool()
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 = LiteLLMModel(
    model_id="gemini/gemini-2.0-flash-lite", 
    api_key=os.getenv("GEMINI_API_TOKEN")
)

# 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=[get_stock_price, get_current_time_in_timezone, search_tool, 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()