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

from Gradio_UI import GradioUI

@tool
def fetch_and_summarize_url(url: str, char_limit: int = 1500) -> dict:
    """A tool that fetches the content from a given URL, extracts the meaningful text,
    and returns a structured summary with the estimated reading time.
    
    Args:
        url: the URL where data will be fetched from.
        char_limit: Maximum number of characters (default 1500).
    """
    # STEP A - Fetch URL
    try:
        response = requests.get(url, timeout=10)
        response.raise_for_status()
        html_content = response.text
    except Exception as e:
        return {
            "summary": "",
            "reading_time_minutes": 0.0,
            "error": f"Failed to fetch URL: {str(e)}"
        }

    # STEP B - Extract text
    soup = BeautifulSoup(html_content, "html.parser")
    for tag in soup(["script", "style", "header", "footer", "nav", "noscript"]):
        tag.extract()
    raw_text = re.sub(r"\s+", " ", soup.get_text(separator=" ")).strip()

    # STEP C - Summarize
    try:
        truncated_text = raw_text[:char_limit]
        summary_prompt = f"Summarize the following text into 4-6 sentences:\n\n{truncated_text}"
        summary = final_answer.run(summary_prompt).strip()
    except Exception as e:
        summary = f"Error summarizing text: {str(e)}"

    # STEP D - Reading time
    try:
        word_count = len(raw_text.split())
        reading_time_minutes = round(word_count / 200, 2)
    except:
        reading_time_minutes = 0.0

    return {
        "summary": summary,
        "reading_time_minutes": reading_time_minutes
    }

@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,
        fetch_and_summarize_url,
        image_generation_tool,
        get_current_time_in_timezone
    ], ## 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()