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)}"

import re  # Import regular expression library

import re  # Import regular expression library

@tool
def get_stock_price(stock: str) -> str:
    """
    Fetches the current stock price using DuckDuckGo search.
    Args:
        stock: A stock ticker symbol or company name (e.g., 'AAPL', 'GOOGL'). # Added description here
    Returns:
        str: A message with the stock price or an error message.
    """
    try:
        # Initialize the DuckDuckGo search tool
        search_tool = DuckDuckGoSearchTool()

        # Perform the search
        search_results = search_tool(f"current stock price of {stock}")
        return search_results
        
        # Debugging: Print results to see what is returned
        print(f"DEBUG: search results -> {search_results}")

        # # Handle different result types
        # if isinstance(search_results, list) and len(search_results) > 0:
        #     # Try to extract the stock price from the first result
        #     first_result = search_results[0]

        #     # Attempt to find a pattern like "123.45 USD" in the text
        #     match = re.search(r"(\d+\.\d+)\s*(USD|EUR|CAD|GBP)", first_result, re.IGNORECASE)

        #     if match:
        #         price = match.group(1)
        #         currency = match.group(2)
        #         return f"The current price for {stock} is: {price} {currency}"
        #     else:
        #         return f"Could not extract stock price from search results for {stock}."
        # elif isinstance(search_results, str):
        #     # Try to directly find a price in the string
        #     match = re.search(r"(\d+\.\d+)\s*(USD|EUR|CAD|GBP)", search_results, re.IGNORECASE)
        #     if match:
        #         price = match.group(1)
        #         currency = match.group(2)
        #         return f"The current price for {stock} is: {price} {currency}"
        #     else:
        #        return f"Could not extract stock price from search results for {stock}."
        # else:
        #     return f"No search results found for {stock}."

    except Exception as e:
        return f"Error fetching price for stock '{stock}': {str(e)}"

@tool
def duckweb_search(query: str) -> str:
    """
    Fetches the information using DuckDuckGo search.
    Args:
        query: A query or question # Added description here
    Returns:
        str: A message with the search result or an error message.
    """
    try:
        # Initialize the DuckDuckGo search tool
        search_tool = DuckDuckGoSearchTool()

        # Perform the search
        search_results = search_tool(query)
        return f"the answer is {search_results}"

        # Debugging: Print results to see what is returned
        print(f"DEBUG: search results -> {search_results}")

    #     # Handle different result types
    #     if isinstance(search_results, list) and len(search_results) > 0:
    #         # Try to extract the stock price from the first result
    #         first_result = search_results[0]

    #         # Attempt to find a pattern like "123.45 USD" in the text
    #         return f"the answer is {first_result}"
    #     else:
    #         return f"No search results found for {query}."

    except Exception as e:
        return f"Error fetching price for stock '{query}': {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, get_stock_price, get_current_time_in_timezone, duckweb_search], ## 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()