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

@tool
def summarize_webpage(url: str, max_length: int = 300) -> str:
    """A tool that fetches a webpage and provides a concise summary of its content.
    
    Args:
        url: The URL of the webpage to summarize
        max_length: Maximum length of the summary in characters
    """
    try:
        import requests
        from bs4 import BeautifulSoup
        import re
        
        # Fetch the webpage
        headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'}
        response = requests.get(url, headers=headers, timeout=10)
        response.raise_for_status()
        
        # Parse HTML content
        soup = BeautifulSoup(response.content, 'html.parser')
        
        # Remove script and style elements
        for script in soup(["script", "style", "header", "footer", "nav"]):
            script.extract()
            
        # Get text and clean it
        text = soup.get_text()
        lines = (line.strip() for line in text.splitlines())
        chunks = (phrase.strip() for line in lines for phrase in line.split("  "))
        text = '\n'.join(chunk for chunk in chunks if chunk)
        
        # Remove excessive newlines and whitespace
        text = re.sub(r'\n+', '\n', text)
        text = re.sub(r'\s+', ' ', text)
        
        # Truncate to avoid overwhelming the model
        text = text[:10000] if len(text) > 10000 else text
        
        # Get title
        title = soup.title.string if soup.title else "Unknown Title"
        
        # For the summarization, we'll use our agent's model directly
        # Note: This assumes the agent will handle the summarization part
        
        return {
            "title": title,
            "url": url,
            "content": text,
            "summary_request": f"Please summarize the above webpage content in no more than {max_length} characters."
        }
        
    except Exception as e:
        return f"Error fetching or processing webpage: {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()

# 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, summarize_webpage], ## 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()