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

from typing import List
from bs4 import BeautifulSoup
import requests

@tool
def scrape_images_from_url(url: str) -> List[str]:
    """Scrapes image URLs from a given webpage.
    
    Args:
        url: The webpage URL to scrape from.
    
    Returns:
        A list of image source URLs found on the page.
    """
    try:
        response = requests.get(url)
        soup = BeautifulSoup(response.content, "html.parser")
        images = [img['src'] for img in soup.find_all('img') if img.get('src')]
        return images
    except Exception as e:
        return [f"Error: {str(e)}"]

@tool
def scrape_video_links_from_url(url: str) -> List[str]:
    """Extracts video links from a webpage.

    Args:
        url: The URL to extract video tags or embeds from.

    Returns:
        A list of video or embedded video URLs.
    """
    try:
        response = requests.get(url)
        soup = BeautifulSoup(response.content, "html.parser")
        video_sources = []

        for video in soup.find_all('video'):
            for source in video.find_all('source'):
                if source.get('src'):
                    video_sources.append(source['src'])

        for iframe in soup.find_all('iframe'):
            src = iframe.get('src')
            if "youtube" in src or "vimeo" in src:
                video_sources.append(src)

        return video_sources
    except Exception as e:
        return [f"Error: {str(e)}"]

@tool
def scrape_text_content(url: str) -> str:
    """Scrapes main textual content from a webpage.

    Args:
        url: The URL to extract content from.

    Returns:
        A string of readable text from the webpage.
    """
    try:
        response = requests.get(url)
        soup = BeautifulSoup(response.content, "html.parser")

        # Remove unwanted elements
        for tag in soup(["script", "style", "noscript"]):
            tag.decompose()

        text = soup.get_text(separator=' ', strip=True)
        return text[:2000] + "..." if len(text) > 2000 else text
    except Exception as e:
        return f"Error: {str(e)}"

@tool
def download_file_from_url(file_url: str, save_as: str) -> str:
    """Downloads a file from a given URL and saves it locally.

    Args:
        file_url: Direct link to the file (image/video/pdf etc.)
        save_as: Filename to save it as (e.g., "image1.jpg")

    Returns:
        A string indicating success or error.
    """
    try:
        r = requests.get(file_url)
        with open(save_as, "wb") as f:
            f.write(r.content)
        return f"Downloaded successfully as {save_as}"
    except Exception as e:
        return f"Download failed: {str(e)}"

# 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)}"


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,image_generation_tool, get_current_time_in_timezone, 
           download_file_from_url, scrape_text_content, scrape_video_links_from_url, scrape_images_from_url], ## 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()