import newspaper import json import feedparser import time import os import logging from datetime import datetime from selenium import webdriver from selenium.webdriver.firefox.options import Options as FirefoxOptions from selenium.webdriver.common.by import By from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC from concurrent.futures import ThreadPoolExecutor, as_completed import nltk from nltk.downloader import Downloader # Setup logging with timestamps logging.basicConfig( level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s', datefmt='%Y-%m-%d %H:%M:%S' ) logger = logging.getLogger(__name__) FEED_FILE = os.getenv("FEED_FILE", "./rss_short_feed.json") # Ensure necessary NLTK resources are downloaded d = Downloader() if not d.is_installed("punkt_tab"): nltk.download("punkt_tab") articles = [] def load_rss_feed_sources(feed_file=FEED_FILE): """ Loads the RSS feed sources from a JSON file. """ logger.info(f"Loading RSS feed sources from {feed_file}...") try: with open(feed_file, "r", encoding="utf-8") as f: data = json.load(f) logger.info(f"Successfully loaded {feed_file}") return data except FileNotFoundError: logger.error(f"{feed_file} not found, returning empty list.") return [] except json.JSONDecodeError: logger.error(f"Error decoding {feed_file} , returning empty list.") return [] def mine_all_articles(rss_feed_sources, limit=None): """ Mines all articles from the given RSS feed sources. Returns a list of (site, title, link) tuples. """ all_links = [] # Check if rss_feed_sources is a valid dict with rss_feeds key if not isinstance(rss_feed_sources, dict): logger.warning(f"rss_feed_sources is not a dict, it's {type(rss_feed_sources)}") return all_links if "rss_feeds" not in rss_feed_sources: logger.warning("rss_feeds key not found in rss_feed_sources") return all_links sources = rss_feed_sources["rss_feeds"] for site, data in sources.items(): logger.info(f"Parsing RSS feed: {data['rss_url']}") try: feed = feedparser.parse(data["rss_url"]) feed_entries = feed.entries[:limit] if limit else feed.entries for entry in feed_entries: if "link" in entry and "title" in entry: all_links.append((site, entry.title, entry.link)) except Exception as e: logger.error(f"Error parsing RSS feed: {site} Error: {str(e)}") return all_links def generate_filename_from_url(url): """ Generates a filename from the given URL by replacing slashes with underscores. """ # Use only the last part of the URL or replace slashes return url.replace("https://", "").replace("http://", "").replace("/", "_") def generate_safe_filename(name): # Remove/replace characters not allowed in filenames import re safe = re.sub(r'[\\/*?:"<>|]', "_", name) return safe def save_article_to_file(article, filename, source="Unfiltered"): """ Saves the given article text to a file with the specified filename. """ # articles dir should already be there # os.makedirs("articles", exist_ok=True) outputDir = "articles/" + source os.makedirs(outputDir, exist_ok=True) if source else None # Sanitize filename: use only the last part of the URL or replace slashes safe_filename = generate_filename_from_url(filename) file_path = os.path.join(outputDir, safe_filename) # Save the source as the first line in the file for later retrieval with open(file_path, "w", encoding="utf-8") as f: f.write(f"SOURCE:{source}\n") f.write(article) # Only log when a new file is actually created (not cached) logger.info(f"New article saved: {safe_filename} from {source}") def get_article_with_selenium(url): """ Gets article text using Selenium Firefox driver with proper error handling and cleanup. """ driver = None try: # Configure Firefox options options = FirefoxOptions() options.add_argument("--headless") options.set_preference("dom.ipc.processCount", 1) # Reduce process count # Initialize driver driver = webdriver.Firefox(options=options) driver.set_page_load_timeout(30) # 30 seconds timeout # Navigate to URL driver.get(url) # Wait for page to load (explicit wait instead of sleep) try: WebDriverWait(driver, 15).until( EC.presence_of_element_located((By.TAG_NAME, "body")) ) except: pass # Continue even if wait times out time.sleep(2) # Brief additional wait html = driver.page_source # Parse with Newspaper4k article = newspaper.article(url, input_html=html, language="en") article.nlp() logger.info(f"Successfully extracted article with Selenium from {url}") return article.text except Exception as e: logger.error(f"Selenium failed for {url}: {str(e)}") return "" finally: # Always quit the driver if driver: try: driver.quit() except: pass # Ignore errors in cleanup def get_article_with_playwright(url): """ Gets article text using Playwright with proper error handling. """ try: from playwright.sync_api import sync_playwright with sync_playwright() as p: # Use Chromium instead of Firefox for better compatibility browser = p.chromium.launch(headless=True, timeout=30000) page = browser.new_page() # Set user agent to avoid bot detection page.set_extra_http_headers( { "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36" } ) page.goto(url, wait_until="load") # Wait for content to load time.sleep(3) html = page.content() browser.close() # Parse with Newspaper4k article = newspaper.article(url, input_html=html, language="en") article.nlp() logger.info(f"Successfully extracted article with Playwright from {url}") return article.text except Exception as e: logger.error(f"Playwright failed for {url}: {str(e)}") return "" def pull_article(link, source, title=None, save_to_file=True): """ Pulls an article from a given link with fallback mechanisms. """ filename = title if title else link safe_filename = generate_filename_from_url(filename) # Check if already cached if os.path.exists(os.path.join("articles", source, safe_filename)): logger.info(f"Article already cached: {filename}") with open( os.path.join("articles", source, safe_filename), "r", encoding="utf-8" ) as f: return f.read() text = "" try: # Try newspaper4k first article = newspaper.article(link) article.download() article.parse() text = article.text if not text or len(text) < 200: raise ValueError( "\tArticle text too short, falling back to Playwright/Selenium." ) logger.info(f"Successfully pulled article with newspaper4k from {link}") except Exception as e: logger.warning( f"newspaper4k extraction failed for {link}: {e}, falling back to Playwright." ) try: text = get_article_with_playwright(link) logger.info(f"Successfully pulled article from {link} with Playwright") if not text or len(text) < 200: logger.warning(f"Playwright article too short, falling back to Selenium.") # Fallback to Selenium with better error handling text = get_article_with_selenium(link) logger.info(f"Successfully pulled article from {link} with Selenium") except Exception as e: logger.error(f"Playwright failed for {link}: {e}") # Fallback to Selenium try: text = get_article_with_selenium(link) logger.info(f"Successfully pulled article from {link} with Selenium") except Exception as e: logger.error(f"Selenium failed for {link}: {e}") return "" if save_to_file: save_article_to_file(text, filename, source) return text def safe_pull_articles(article_list): """ Safely pull articles with improved error handling and reduced parallelism. """ results = [] errors = [] # Process in smaller batches to reduce resource strain batch_size = 5 for i in range(0, len(article_list), batch_size): batch = article_list[i : i + batch_size] logger.info(f"Processing batch {i // batch_size + 1} with {len(batch)} articles") # Use ThreadPoolExecutor instead of ProcessPoolExecutor to avoid # process termination issues with browser automation with ThreadPoolExecutor(max_workers=3) as executor: # Reduced workers futures = [ executor.submit(pull_article, link, source, title) for source, title, link in batch ] for future in as_completed(futures): try: result = future.result(timeout=120) # 2 minute timeout results.append(result) except Exception as e: logger.error(f"Error in pull_article: {e}") errors.append(e) # Add a small delay between batches to reduce system load time.sleep(5) return results, errors def main(): """ Main scraping loop. """ while True: logger.info("=========================================") logger.info("Starting new scraping iteration...") try: # Pull the RSS feed sources from the JSON file rss_feed_sources = load_rss_feed_sources() # Mine all articles from the RSS feed sources rss_feed_links = mine_all_articles(rss_feed_sources) # Randomize the order of the links to help with load balancing import random random.shuffle(rss_feed_links) logger.info(f"Found {len(rss_feed_links)} articles to process") if not rss_feed_links: logger.info("No articles found, sleeping for 15 minutes") time.sleep(15 * 60) continue # Process articles with better error handling and resource management results, errors = safe_pull_articles(rss_feed_links) logger.info(f"Attempted to Pull {len(results)} articles in parallel.") logger.info( f"Encountered {len(errors)} errors during article pulling. " + "Outputting errors to a local file." ) # Output errors to a local file if errors: with open("errors.txt", "w", encoding="utf-8") as f: for error in errors: f.write(str(error) + "\n") logger.info(f"Errors logged to errors.txt") # Print all results to a log file with open("results.txt", "w", encoding="utf-8") as f: for result in results: f.write(result + "\n") logger.info("All articles pulled successfully.") except Exception as e: logger.error(f"Major error in main loop: {e}") # Continue to next iteration even if there's a major error # Sleep for a while before the next iteration logger.info("Sleeping for 15 minutes before the next iteration...") time.sleep(15 * 60) # Sleep for 15 minutes if __name__ == "__main__": main()