from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from bs4 import BeautifulSoup

from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !


@tool
def get_amazon_product_price(product: str) -> str:
    """A tool that fetches the current price of an Amazon product given its product name.
    
    Args:
        product: The name of the product to search on Amazon.
    
    Returns:
        A string indicating the current price of the product or an error message.
    """
    try:
        # Use the DuckDuckGo search tool to find an Amazon page for the product
        search_query = f"site:amazon.com {product}"
        search_results = search_tool(query=search_query)
        
        # Assume search_results is a list of URLs; if not, wrap it into a list.
        if not isinstance(search_results, list):
            search_results = [search_results]
            
        amazon_url = None
        for result in search_results:
            if "amazon.com" in result:
                amazon_url = result
                break
        
        if not amazon_url:
            return "Could not find an Amazon product page for the given product."
        
        headers = {
            "User-Agent": (
                "Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
                "AppleWebKit/537.36 (KHTML, like Gecko) "
                "Chrome/90.0.4430.93 Safari/537.36"
            )
        }
        response = requests.get(amazon_url, headers=headers, timeout=10)
        if response.status_code != 200:
            return f"Error fetching the page: Received status code {response.status_code}"
        
        soup = BeautifulSoup(response.text, "html.parser")
        
        price_tag = soup.find(id="priceblock_ourprice")
        if price_tag is None:
            price_tag = soup.find(id="priceblock_dealprice")
        if price_tag is None:
            price_container = soup.find("span", class_="a-price")
            if price_container:
                price_tag = price_container.find("span", class_="a-offscreen")
        
        if price_tag:
            price = price_tag.get_text().strip()
            return f"The current price for '{product}' is: {price}"
        else:
            return "Price not found on the product page."
    except Exception as e:
        return f"Error fetching product price: {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()
search_tool = DuckDuckGoSearchTool()
# 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)

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer, get_amazon_product_price], ## 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()