from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
import yfinance as yf
import pandas as pd
from Gradio_UI import GradioUI

@tool
def extract_financial_data(ticker_names:list[str])-> str:
    """A tool that fetches stock-exchage state for certain tickers.
        Use it always when you are requested to extract some finacial data.
    Args:
        ticker_names: name of the tickers with their correct representation like Apple should be AAPL
        or Nvidia NVDA, should be always tha same format, for example like in this case ['AAPL', 'NVDA']
        
    """
    try:
        stock_52w_change = []
        profitsMargins = []
        # tickers = ['NVS','JNJ','ABBV','AMGN']
        for ticker in ticker_names:
            print(ticker)
            current_ticker = yf.Ticker(ticker)
            current_ticker_info = current_ticker.info
            stock_52w_change.append(current_ticker_info['52WeekChange'])
            profitsMargins.append(current_ticker_info['profitMargins'])

        df = pd.DataFrame([stock_52w_change, profitsMargins], columns=ticker_names, index=['52w change', 'profitMargins'])
        return f"Insights on stock52 and profitmargin {df}"

    except Exception as e:
        return f"Error fetching data for tockers: {ticker_names} : {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)}"


final_answer = FinalAnswerTool()
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
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=[extract_financial_data,image_generation_tool,get_current_time_in_timezone,final_answer,DuckDuckGoSearchTool()], ## add or remove tools here
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()