app2.py

import asyncio
import csv
import hashlib
import os
from typing import List, Tuple, Dict, Any, Optional
import datetime
import signal
import feedparser
import aiohttp
import gradio as gr
from huggingface_hub import InferenceClient
from sqlalchemy import create_engine, Column, Integer, String, Text, DateTime
from sqlalchemy.exc import SQLAlchemyError
from sqlalchemy.orm import declarative_base, sessionmaker
from urllib.parse import urljoin
import logging
from sqlalchemy.orm import Session
from sqlalchemy.future import select
from bs4 import BeautifulSoup
import validators

Base = declarative_base()

class Article(Base):
    __tablename__ = 'articles'
    id = Column(Integer, primary_key=True)
    url = Column('url', String(2048), nullable=False, unique=True) 
    title = Column('title', String(255))
    content = Column('content', Text())
    hash_value = Column('hash', String(32))
    timestamp = Column('timestamp', DateTime(), default=datetime.datetime.utcnow)

# Configure logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
logger = logging.getLogger(__name__)

# Configuration
HUGGINGFACE_API_KEY = os.getenv("HUGGINGFACE_API_KEY")
DEFAULT_MONITORING_INTERVAL = 300
MAX_MONITORING_INTERVAL = 600
CHANGE_FREQUENCY_THRESHOLD = 3

# Global variables
monitoring_tasks = {}
url_monitoring_intervals = {}
change_counts = {}
history = []
db_session = None  # Initialize db_session globally

async def create_db_engine(db_url):
    try:
        engine = create_engine(db_url)
        Base.metadata.create_all(engine)
        return engine, sessionmaker(bind=engine)
    except SQLAlchemyError as e:
        logger.error(f"Database error: {e}")
        raise


def sanitize_url(url: str) -> str:
    return url if validators.url(url) else None


async def fetch_url_content(url: str,
                            session: aiohttp.ClientSession) -> Tuple[str, str]:
    async with session.get(url) as response:
        content = await response.text()
        soup = BeautifulSoup(content, 'html.parser')
        title = soup.title.string if soup.title else "No Title"
        return title, content


async def save_to_database(session, url: str, title: str, content: str,
                           hash: str):
    try:
        article = Article(url=url, title=title, content=content, hash=hash)
        session.add(article)
        await session.commit()
    except SQLAlchemyError as e:
        logger.error(f"Database error: {e}")
        await session.rollback()


async def save_to_csv(storage_location: str, url: str, title: str,
                    content: str, timestamp: datetime.datetime):
    try:
        os.makedirs(os.path.dirname(storage_location), exist_ok=True)
        with open(storage_location, "a", newline='',
                  encoding="utf-8") as csvfile:
            csv_writer = csv.writer(csvfile)
            csv_writer.writerow([
                timestamp.strftime("%Y-%m-%d %H:%M:%S"), url, title, content
            ])
    except IOError as e:
        logger.error(f"IOError saving to CSV: {e}")
    except Exception as e:
        logger.error(f"Unexpected error saving to CSV: {e}")


async def monitor_url(url: str, interval: int, storage_location: str,
                      feed_rss: bool, db_session):
    previous_hash = ""
    async with aiohttp.ClientSession() as session:
        while True:
            try:
                title, content = await fetch_url_content(url, session)
                current_hash = hashlib.md5(content.encode('utf-8')).hexdigest()

                if current_hash != previous_hash:
                    previous_hash = current_hash
                    timestamp = datetime.datetime.now()

                    if feed_rss:
                        try:
                            await save_to_database(db_session, url, title,
                                                   content, current_hash)
                        except SQLAlchemyError as e:
                            logger.error(
                                f"Database error while saving {url}: {e}")

                    if storage_location:
                        await save_to_csv(storage_location, url, title,
                                        content, timestamp)

                    history.append(
                        f"Change detected at {url} on {timestamp.strftime('%Y-%m-%d %H:%M:%S')}"
                    )
                    logger.info(f"Change detected at {url}")

                    change_counts[url] = change_counts.get(url, 0) + 1
                    if change_counts[url] >= CHANGE_FREQUENCY_THRESHOLD:
                        interval = max(60, interval // 2)
                else:
                    change_counts[url] = 0
                    interval = min(interval * 2, MAX_MONITORING_INTERVAL)

                url_monitoring_intervals[url] = interval
            except aiohttp.ClientError as e:
                logger.error(f"Network error monitoring {url}: {e}")
                history.append(f"Network error monitoring {url}: {e}")
            except Exception as e:
                logger.error(f"Unexpected error monitoring {url}: {e}")
                history.append(f"Unexpected error monitoring {url}: {e}")

            await asyncio.sleep(interval)


async def start_monitoring(urls: List[str], storage_location: str,
                          feed_rss: bool):
    global db_session
    for url in urls:
        if url not in monitoring_tasks:
            sanitized_url = sanitize_url(url)
            if sanitized_url:
                task = asyncio.create_task(
                    monitor_url(sanitized_url, DEFAULT_MONITORING_INTERVAL,
                                storage_location, feed_rss, db_session))
                monitoring_tasks[sanitized_url] = task
            else:
                logger.warning(f"Invalid URL: {url}")
                history.append(f"Invalid URL: {url}")
    return "Monitoring started"


async def cleanup_resources(url: str):
    # Add any cleanup logic here, e.g., closing database connections
    pass


def stop_monitoring(url: str):
    if url in monitoring_tasks:
        monitoring_tasks[url].cancel()
        asyncio.create_task(cleanup_resources(url))
        del monitoring_tasks[url]
    return "Monitoring stopped"


def generate_rss_feed():
    session = Session()
    try:
        articles = session.query(Article).order_by(
            Article.timestamp.desc()).limit(20).all()
        feed = feedparser.FeedParserDict()
        feed['title'] = 'Website Changes Feed'
        feed['link'] = 'http://yourwebsite.com/feed'  # Replace if needed
        feed['description'] = 'Feed of changes detected on monitored websites.'
        feed['entries'] = [{
            'title': article.title,
            'link': article.url,
            'description': article.content,
            'published': article.timestamp
        } for article in articles]
        return feedparser.FeedGenerator().feed_from_dictionary(
            feed).writeString('utf-8')
    except SQLAlchemyError as e:
        logger.error(f"Database error: {e}")
        return None
    finally:
        session.close()


async def chatbot_response(message: str, history: List[Tuple[str, str]]):
    try:
        client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1",
                                 token=HUGGINGFACE_API_KEY)
        response = await client.text_generation(message, max_new_tokens=100)

        history.append((message, response[0]['generated_text']))

        return history, history
    except Exception as e:
        logger.error(f"Chatbot error: {e}")
        history.append((message,
                        "Error: Could not get a response from the chatbot."))
        return history, history


async def update_db_status(db_status_textbox):
    while True:
        try:
            await db_session.execute("SELECT 1")
            db_status = "Connected"
        except SQLAlchemyError:
            db_status = "Disconnected"
               yield db_status  # Use a generator to update the textbox
        await asyncio.sleep(60)  # Check every minute


async def update_feed_content():  # Remove db_session parameter
    try:
        articles = await db_session.query(Article).order_by(
            Article.timestamp.desc()).limit(20).all()
        feed = {
            'title': 'Website Changes Feed',
            'link': 'http://yourwebsite.com/feed',
            'description': 'Feed of changes detected on monitored websites.',
            'items': [{
                'title': article.title,
                'link': article.url,
                'description': article.content,
                'pubDate': str(article.timestamp)  # Convert datetime to string
            } for article in articles]
        }
        return feed
    except SQLAlchemyError as e:
        logger.error(f"Database error: {e}")
        return None

async def periodic_update_with_error_handling():
    while True:
        try:
            await asyncio.sleep(300)  # Wait for 5 minutes
            await update_feed_content()
        except Exception as e:
            logger.error(f"Error in periodic update: {e}")


async def main():
    global db_session
    try:
        engine, Session = await create_db_engine("sqlite:///monitoring.db")
        db_session = Session()

        demo = gr.Blocks()

        with demo:
            gr.Markdown("# Website Monitor and Chatbot")

            with gr.Row():
                with gr.Column():
                    db_url = gr.Textbox(
                        label="Database URL", value="sqlite:///monitoring.db")
                    db_status_textbox = gr.Textbox(label="Database Status",
                                            interactive=False,
                                            value="Connected")

                with gr.Column():
                    with gr.Tab("Configuration"):
                        target_urls = gr.Textbox(
                            label="Target URLs (comma-separated)",
                            placeholder=
                            "https://example.com, https://another-site.com")
                        storage_location = gr.Textbox(
                            label="Storage Location (CSV file path)",
                            placeholder="/path/to/your/file.csv")
                        feed_rss_checkbox = gr.Checkbox(label="Enable RSS Feed")
                        start_button = gr.Button("Start Monitoring")
                        stop_button = gr.Button("Stop Monitoring")
                        status_text = gr.Textbox(label="Status",
                                                interactive=False)
                        history_text = gr.Textbox(label="History",
                                                lines=10,
                                                interactive=False)

                    with gr.Tab("User-End View"):
                        feed_content = gr.JSON(label="RSS Feed Content")

                    with gr.Tab("Chatbot"):
                        chatbot_interface = gr.Chatbot(type='messages')
                        message_input = gr.Textbox(
                            placeholder="Type your message here...")
                        send_button = gr.Button("Send")

            async def on_start_click(target_urls_str: str, storage_loc: str,
                                    feed_enabled: bool):
                urls = [url.strip() for url in target_urls_str.split(",")]
                await start_monitoring(urls,
                                        storage_loc if storage_loc else None,
                                        feed_enabled)
                return "Monitoring started for valid URLs."

            async def on_stop_click():
                for url in list(monitoring_tasks.keys()):
                    stop_monitoring(url)
                return "Monitoring stopped for all URLs."

            start_button.click(
                on_start_click,
                inputs=[target_urls, storage_location, feed_rss_checkbox],
                outputs=[status_text])
            stop_button.click(on_stop_click, outputs=[status_text])
            send_button.click(
                chatbot_response,
                inputs=[message_input, chatbot_interface],
                outputs=[chatbot_interface, message_input])        

            # Set up the timer
            feed_updater = gr.Timer(interval=300)
            feed_updater.tick(fn=update_feed_content,
                            outputs=feed_content)

            # Create background tasks
            demo.load(update_db_status, outputs=db_status_textbox)
            asyncio.create_task(periodic_update_with_error_handling())

        # Launch the demo
        await demo.launch()

    except Exception as e:
        logger.error(f"Error in main: {e}")
    finally:
        if db_session:
            await db_session.close()
        if engine:
            engine.dispose()

def signal_handler():
    for task in asyncio.all_tasks():
        task.cancel()

    return f"Processed: {input_text}"

# Create Gradio interface
with gr.Blocks() as demo:
    gr.Markdown("# My Gradio App")
    input_text = gr.Textbox(label="Input Text")
    output_text = gr.Textbox(label="Output Text")
    submit_button = gr.Button("Submit")

    submit_button.click(fn=generate, inputs=input_text, outputs=output_text)

# Launch the app
if __name__ == "__main__":
    demo.launch(share=True)