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acecalisto3
commited on
Commit
•
7b31f93
1
Parent(s):
c97adcc
Update app.py
Browse files
app.py
CHANGED
@@ -1,39 +1,45 @@
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import os
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import asyncio
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import csv
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import logging
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from typing import List, Tuple
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from dotenv import load_dotenv
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import aiohttp
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import gradio as gr
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from sqlalchemy import create_engine, Column, Integer, String, Text, DateTime
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from sqlalchemy.orm import declarative_base
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from sqlalchemy.orm import sessionmaker
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from sqlalchemy.exc import SQLAlchemyError
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import
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import datetime
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import feedparser
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from huggingface_hub import InferenceClient
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import validators
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# Load environment variables
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load_dotenv()
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# Configure logging
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logging.basicConfig(level=logging.INFO,
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logger = logging.getLogger(__name__)
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# Configuration
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HUGGINGFACE_API_KEY = os.getenv('HUGGINGFACE_API_KEY')
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DEFAULT_MONITORING_INTERVAL = 300
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MAX_MONITORING_INTERVAL = 600
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CHANGE_FREQUENCY_THRESHOLD = 3
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# Database setup
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Base = declarative_base()
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class Article(Base):
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__tablename__ = 'articles'
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id = Column(Integer, primary_key=True)
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@@ -43,30 +49,25 @@ class Article(Base):
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hash = Column(String(32))
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timestamp = Column(DateTime, default=datetime.datetime.utcnow)
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engine = create_engine(DB_URL)
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Base.metadata.create_all(engine)
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Session = sessionmaker(bind=engine)
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# Global variables
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monitoring_tasks = {}
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url_monitoring_intervals = {}
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change_counts = {}
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history = []
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# Utility functions
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def sanitize_url(url: str) -> str:
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return validators.url(url)
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async with session.get(url) as response:
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content = await response.text()
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soup = BeautifulSoup(content, 'html.parser')
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title = soup.title.string if soup.title else "No Title"
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return title, content
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def calculate_hash(content: str) -> str:
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return hashlib.md5(content.encode('utf-8')).hexdigest()
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async def save_to_database(url: str, title: str, content: str, hash: str):
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session = Session()
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try:
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@@ -79,15 +80,21 @@ async def save_to_database(url: str, title: str, content: str, hash: str):
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finally:
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session.close()
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try:
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with open(storage_location, "a", newline='', encoding=
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csv_writer = csv.writer(csvfile)
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csv_writer.writerow([
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except Exception as e:
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logger.error(f"Error saving to CSV: {e}")
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previous_hash = ""
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async with aiohttp.ClientSession() as session:
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while True:
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@@ -98,14 +105,18 @@ async def monitor_url(url: str, interval: int, storage_location: str, feed_rss:
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if current_hash != previous_hash:
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previous_hash = current_hash
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timestamp = datetime.datetime.now()
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if feed_rss:
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await save_to_database(url, title, content,
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if storage_location:
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save_to_csv(storage_location, url, title, content,
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logger.info(f"Change detected at {url}")
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change_counts[url] = change_counts.get(url, 0) + 1
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@@ -122,76 +133,135 @@ async def monitor_url(url: str, interval: int, storage_location: str, feed_rss:
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await asyncio.sleep(interval)
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for url in urls:
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if url not in monitoring_tasks:
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sanitized_url = sanitize_url(url)
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if sanitized_url:
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task = asyncio.create_task(
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monitoring_tasks[sanitized_url] = task
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else:
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logger.warning(f"Invalid URL: {url}")
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history.append(f"Invalid URL: {url}")
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def stop_monitoring(url: str):
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if url in monitoring_tasks:
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monitoring_tasks[url].cancel()
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del monitoring_tasks[url]
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def generate_rss_feed():
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session = Session()
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try:
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articles = session.query(Article).order_by(
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feed = feedparser.FeedParserDict()
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feed['title'] = 'Website Changes Feed'
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feed['link'] = 'http://yourwebsite.com/feed'
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feed['description'] = 'Feed of changes detected on monitored websites.'
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feed['entries'] = [
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except SQLAlchemyError as e:
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logger.error(f"Database error: {e}")
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return None
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finally:
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session.close()
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async def chatbot_response(message: str, history: List[Tuple[str, str]]):
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try:
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client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1",
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response = await client.inference(message)
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return history, history
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except Exception as e:
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logger.error(f"Chatbot error: {e}")
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history.append(
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return history, history
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# Gradio interface
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with gr.Blocks() as demo:
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gr.Markdown("# Website Monitor and Chatbot")
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with gr.Tab("User-End View"):
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feed_content = gr.JSON(label="RSS Feed Content")
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send_button = gr.Button("Send")
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urls = [url.strip() for url in target_urls_str.split(",")]
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await start_monitoring(urls, storage_loc if storage_loc else None,
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return "Monitoring started for valid URLs."
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async def on_stop_click():
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stop_monitoring(url)
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return "Monitoring stopped for all URLs."
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start_button.click(
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stop_button.click(on_stop_click, outputs=[status_text])
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send_button.click(
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async def
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while True:
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updated_feed = generate_rss_feed()
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feed_content.update(value=updated_feed)
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await asyncio.sleep(300) # Wait for 300 seconds before updating again
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await asyncio.gather(
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periodic_rss_update(),
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demo.launch(share=True)
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)
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if __name__ == "__main__":
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import asyncio
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import csv
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import logging
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import os
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from typing import List, Tuple
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import aiohttp
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import datetime
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import difflib
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import hashlib
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from pathlib import Path
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import feedparser
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import gradio as gr
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from huggingface_hub import InferenceClient
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from sqlalchemy import create_engine, Column, Integer, String, Text, DateTime
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from sqlalchemy.orm import declarative_base, sessionmaker
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from sqlalchemy.exc import SQLAlchemyError
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import validators
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# Configure logging
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logging.basicConfig(level=logging.INFO,
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format='%(asctime)s - %(levelname)s - %(message)s')
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logger = logging.getLogger(__name__)
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# Configuration
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HUGGINGFACE_API_KEY = os.getenv("HUGGINGFACE_API_KEY")
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DEFAULT_MONITORING_INTERVAL = 300
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MAX_MONITORING_INTERVAL = 600
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CHANGE_FREQUENCY_THRESHOLD = 3
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# Global variables
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monitoring_tasks = {}
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url_monitoring_intervals = {}
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change_counts = {}
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history = []
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engine = None # Initialize the database engine globally
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# Database setup
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Base = declarative_base()
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class Article(Base):
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__tablename__ = 'articles'
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id = Column(Integer, primary_key=True)
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hash = Column(String(32))
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timestamp = Column(DateTime, default=datetime.datetime.utcnow)
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# Utility functions
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def sanitize_url(url: str) -> str:
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return validators.url(url)
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async def fetch_url_content(url: str,
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session: aiohttp.ClientSession) -> Tuple[str, str]:
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async with session.get(url) as response:
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content = await response.text()
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soup = BeautifulSoup(content, 'html.parser')
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title = soup.title.string if soup.title else "No Title"
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return title, content
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def calculate_hash(content: str) -> str:
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return hashlib.md5(content.encode('utf-8')).hexdigest()
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async def save_to_database(url: str, title: str, content: str, hash: str):
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session = Session()
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try:
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finally:
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session.close()
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def save_to_csv(storage_location: str, url: str, title: str, content: str,
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timestamp: datetime.datetime):
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try:
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with open(storage_location, "a", newline='', encoding="utf-8") as csvfile:
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csv_writer = csv.writer(csvfile)
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csv_writer.writerow([
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timestamp.strftime("%Y-%m-%d %H:%M:%S"), url, title, content
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])
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except Exception as e:
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logger.error(f"Error saving to CSV: {e}")
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async def monitor_url(url: str, interval: int, storage_location: str,
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feed_rss: bool):
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previous_hash = ""
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async with aiohttp.ClientSession() as session:
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while True:
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if current_hash != previous_hash:
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previous_hash = current_hash
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timestamp = datetime.datetime.now()
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if feed_rss:
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await save_to_database(url, title, content,
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current_hash)
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if storage_location:
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save_to_csv(storage_location, url, title, content,
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timestamp)
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history.append(
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f"Change detected at {url} on {timestamp.strftime('%Y-%m-%d %H:%M:%S')}"
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)
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logger.info(f"Change detected at {url}")
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change_counts[url] = change_counts.get(url, 0) + 1
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await asyncio.sleep(interval)
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async def start_monitoring(urls: List[str], storage_location: str,
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feed_rss: bool):
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for url in urls:
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if url not in monitoring_tasks:
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sanitized_url = sanitize_url(url)
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if sanitized_url:
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task = asyncio.create_task(
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monitor_url(sanitized_url, DEFAULT_MONITORING_INTERVAL,
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storage_location, feed_rss))
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monitoring_tasks[sanitized_url] = task
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else:
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logger.warning(f"Invalid URL: {url}")
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history.append(f"Invalid URL: {url}")
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def stop_monitoring(url: str):
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if url in monitoring_tasks:
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monitoring_tasks[url].cancel()
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del monitoring_tasks[url]
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def generate_rss_feed():
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session = Session()
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try:
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articles = session.query(Article).order_by(
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Article.timestamp.desc()).limit(20).all()
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feed = feedparser.FeedParserDict()
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feed['title'] = 'Website Changes Feed'
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feed['link'] = 'http://yourwebsite.com/feed'
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feed['description'] = 'Feed of changes detected on monitored websites.'
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feed['entries'] = [{
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'title': article.title,
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'link': article.url,
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'description': article.content,
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'published': article.timestamp
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} for article in articles]
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return feedparser.FeedGenerator().feed_from_dictionary(
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feed).writeString('utf-8')
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except SQLAlchemyError as e:
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logger.error(f"Database error: {e}")
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return None
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finally:
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session.close()
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async def chatbot_response(message: str, history: List[Tuple[str, str]]):
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try:
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client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1",
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token=HUGGINGFACE_API_KEY)
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response = await client.inference(message)
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# Format the response as a dictionary
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history.append({"role": "user", "content": message}) # Add user message
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history.append({
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"role": "assistant",
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"content": response
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}) # Add assistant response
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return history, history
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except Exception as e:
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logger.error(f"Chatbot error: {e}")
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history.append({"role": "user", "content": message}) # Add user message
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history.append({
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"role": "assistant",
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"content": "Error: Could not get a response from the chatbot."
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}) # Add error message
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return history, history
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def create_db_engine(db_url):
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global engine, Base, Session
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try:
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engine = create_engine(db_url)
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Base.metadata.create_all(engine)
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Session = sessionmaker(bind=engine)
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return "Database connected successfully!"
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except SQLAlchemyError as e:
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logger.error(f"Database error: {e}")
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return f"Database error: {e}"
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# Gradio interface
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with gr.Blocks() as demo:
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gr.Markdown("# Website Monitor and Chatbot")
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with gr.Row():
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with gr.Column(): # Side pane for database configuration
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db_url = gr.Textbox(label="Database URL",
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placeholder="e.g., sqlite:///monitoring.db")
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db_connect_button = gr.Button("Connect to Database")
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db_status = gr.Textbox(label="Database Status",
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interactive=False,
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value="Not connected")
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db_connect_button.click(create_db_engine,
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inputs=db_url,
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outputs=db_status)
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with gr.Column(): # Main pane for monitoring and chatbot
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with gr.Tab("Configuration"):
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target_urls = gr.Textbox(
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label="Target URLs (comma-separated)",
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placeholder=
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"https://example.com, https://another-site.com")
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storage_location = gr.Textbox(
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label="Storage Location (CSV file path)",
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placeholder="/path/to/your/file.csv")
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feed_rss_checkbox = gr.Checkbox(label="Enable RSS Feed")
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start_button = gr.Button("Start Monitoring")
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stop_button = gr.Button("Stop Monitoring")
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status_text = gr.Textbox(label="Status", interactive=False)
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history_text = gr.Textbox(label="History",
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lines=10,
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249 |
+
interactive=False)
|
250 |
+
|
251 |
+
with gr.Tab("User-End View"):
|
252 |
+
feed_content = gr.JSON(label="RSS Feed Content")
|
253 |
+
|
254 |
+
with gr.Tab("Chatbot"):
|
255 |
+
chatbot_interface = gr.Chatbot(type='messages')
|
256 |
+
message_input = gr.Textbox(
|
257 |
+
placeholder="Type your message here...")
|
258 |
+
send_button = gr.Button("Send")
|
259 |
+
|
260 |
+
async def on_start_click(target_urls_str: str, storage_loc: str,
|
261 |
+
feed_enabled: bool):
|
262 |
urls = [url.strip() for url in target_urls_str.split(",")]
|
263 |
+
await start_monitoring(urls, storage_loc if storage_loc else None,
|
264 |
+
feed_enabled)
|
265 |
return "Monitoring started for valid URLs."
|
266 |
|
267 |
async def on_stop_click():
|
|
|
269 |
stop_monitoring(url)
|
270 |
return "Monitoring stopped for all URLs."
|
271 |
|
272 |
+
start_button.click(
|
273 |
+
on_start_click,
|
274 |
+
inputs=[target_urls, storage_location, feed_rss_checkbox],
|
275 |
+
outputs=[status_text])
|
276 |
stop_button.click(on_stop_click, outputs=[status_text])
|
277 |
+
send_button.click(
|
278 |
+
chatbot_response,
|
279 |
+
inputs=[message_input, chatbot_interface],
|
280 |
+
outputs=[chatbot_interface, chatbot_interface])
|
281 |
|
282 |
+
async def update_feed_content():
|
283 |
+
return generate_rss_feed()
|
|
|
|
|
|
|
|
|
284 |
|
285 |
+
feed_updater = gr.Timer(every=300)
|
286 |
+
feed_updater.tick(fn=update_feed_content, outputs=feed_content)
|
|
|
|
|
|
|
|
|
287 |
|
288 |
if __name__ == "__main__":
|
289 |
+
demo.launch()
|