import feedparser from typing import Dict, Any, Optional, List from datetime import datetime, timezone import xml.etree.ElementTree as ET import re from urllib.parse import urljoin from .tool import Tool, Toolkit from .request_base import RequestBase from ..core.logging import logger class RSSBase(RequestBase): """ Base class for RSS feed operations. Provides common functionality for fetching, parsing, and processing RSS feeds. """ def __init__(self, timeout: int = 30, max_retries: int = 3, delay_between_requests: float = 1.0): """ Initialize the RSS base with configuration options. Args: timeout: Request timeout in seconds max_retries: Maximum number of retry attempts delay_between_requests: Delay between requests in seconds """ super().__init__(timeout=timeout, max_retries=max_retries, delay_between_requests=delay_between_requests) def fetch_rss_feed(self, feed_url: str, max_entries: Optional[int] = 10, fetch_webpage_content: bool = True) -> Dict[str, Any]: """ Fetch and parse an RSS feed from a URL. Args: feed_url: URL of the RSS feed max_entries: Maximum number of entries to return (default: 10, None for all) fetch_webpage_content: Whether to fetch and extract content from article webpages (default: True) Returns: Dictionary containing parsed feed information """ try: # Make the HTTP request response = self.request(url=feed_url, method='GET') # Parse the RSS feed feed = feedparser.parse(response.content) # Check for parsing errors if feed.bozo: logger.warning(f"RSS feed parsing warnings for {feed_url}: {feed.bozo_exception}") # Extract feed metadata feed_info = { 'success': True, 'feed_url': feed_url, 'title': getattr(feed.feed, 'title', 'Unknown'), 'description': getattr(feed.feed, 'description', ''), 'link': getattr(feed.feed, 'link', ''), 'language': getattr(feed.feed, 'language', ''), 'updated': getattr(feed.feed, 'updated', ''), 'generator': getattr(feed.feed, 'generator', ''), 'total_entries': len(feed.entries), 'entries': [] } # Process entries entries = feed.entries[:max_entries] if max_entries is not None else feed.entries for entry in entries: processed_entry = self._process_entry(entry, feed_url, fetch_webpage_content) feed_info['entries'].append(processed_entry) return feed_info except Exception as e: logger.error(f"Error fetching RSS feed from {feed_url}: {str(e)}") return { 'success': False, 'error': str(e), 'feed_url': feed_url } def _process_entry(self, entry, base_url: str, fetch_webpage_content: bool = True) -> Dict[str, Any]: """ Process a single RSS entry and extract relevant information. Args: entry: FeedParser entry object base_url: Base URL for resolving relative links fetch_webpage_content: Whether to fetch and extract content from the article webpage Returns: Dictionary with processed entry information """ # Extract basic information processed_entry = { 'title': getattr(entry, 'title', ''), 'description': getattr(entry, 'description', ''), 'link': getattr(entry, 'link', ''), 'published': getattr(entry, 'published', ''), 'author': getattr(entry, 'author', ''), 'id': getattr(entry, 'id', ''), 'summary': getattr(entry, 'summary', ''), 'content': getattr(entry, 'content', []), 'tags': [], 'categories': [], 'enclosures': [] } # Resolve relative links if processed_entry['link'] and not processed_entry['link'].startswith(('http://', 'https://')): processed_entry['link'] = urljoin(base_url, processed_entry['link']) # Extract tags/categories if hasattr(entry, 'tags'): processed_entry['tags'] = [tag.term for tag in entry.tags if hasattr(tag, 'term')] if hasattr(entry, 'category'): processed_entry['categories'] = [entry.category] if isinstance(entry.category, str) else entry.category # Extract enclosures (media files) if hasattr(entry, 'enclosures'): for enclosure in entry.enclosures: processed_entry['enclosures'].append({ 'url': getattr(enclosure, 'href', ''), 'type': getattr(enclosure, 'type', ''), 'length': getattr(enclosure, 'length', ''), 'title': getattr(enclosure, 'title', '') }) # Parse dates processed_entry['published_parsed'] = self._parse_date(entry.published_parsed) # Clean up text content processed_entry['title'] = self._clean_text(processed_entry['title']) processed_entry['description'] = self._clean_text(processed_entry['description']) processed_entry['summary'] = self._clean_text(processed_entry['summary']) # Fetch webpage content if requested and link is available if fetch_webpage_content and processed_entry['link']: result = self.request_and_process(url=processed_entry['link'], method='GET') if result.get('success') and result.get('content'): # Clean up the text and limit length text_content = self._clean_text(result['content']) if len(text_content) > 10000: # 10KB limit text_content = text_content[:10000] + "... [Content truncated]" processed_entry['webpage_content'] = text_content processed_entry['webpage_content_fetched'] = True else: processed_entry['webpage_content_fetched'] = False else: processed_entry['webpage_content_fetched'] = False return processed_entry def _parse_date(self, date_tuple) -> Optional[str]: """ Parse a date tuple from feedparser into ISO format string. Args: date_tuple: Date tuple from feedparser Returns: ISO format date string or None """ if not date_tuple: return None try: # Convert to datetime object dt = datetime(*date_tuple[:6]) # Make timezone-aware if not already if dt.tzinfo is None: dt = dt.replace(tzinfo=timezone.utc) return dt.isoformat() except Exception: return None def _clean_text(self, text: str) -> str: """ Clean HTML tags and normalize whitespace in text. Args: text: Raw text content Returns: Cleaned text content """ if not text: return '' # Remove HTML tags text = re.sub(r'<[^>]+>', '', text) # Normalize whitespace text = re.sub(r'\s+', ' ', text.strip()) return text def validate_rss_url(self, url: str) -> Dict[str, Any]: """ Validate if a URL contains a valid RSS feed. Args: url: URL to validate Returns: Dictionary with validation results """ try: response = self.request(url=url, method='GET') content = response.content # Check if it's XML try: root = ET.fromstring(content) except ET.ParseError: return { 'success': False, 'error': 'Invalid XML content', 'url': url } # Check for RSS/Atom elements is_rss = root.tag.endswith('rss') or root.tag.endswith('RDF') is_atom = root.tag.endswith('feed') or 'atom' in root.tag if is_rss or is_atom: return { 'success': True, 'is_valid': True, 'feed_type': 'RSS' if is_rss else 'Atom', 'url': url, 'title': self._extract_feed_title(root) } else: return { 'success': True, 'is_valid': False, 'error': 'Not a valid RSS or Atom feed', 'url': url } except Exception as e: return { 'success': False, 'error': str(e), 'url': url } def _extract_feed_title(self, root) -> str: """ Extract feed title from XML root element. Args: root: XML root element Returns: Feed title or empty string """ # Try different possible title elements title_selectors = [ './/title', './/channel/title', './/feed/title' ] for selector in title_selectors: title_elem = root.find(selector) if title_elem is not None and title_elem.text: return self._clean_text(title_elem.text) return '' class RSSFetchTool(Tool): """Tool for fetching and parsing RSS feeds.""" name: str = "rss_fetch" description: str = "Fetch and parse RSS feeds from URLs to get latest articles and updates. Use reasonable limits (10-20 entries) unless you specifically need more for comprehensive analysis." inputs: Dict[str, Dict[str, str]] = { "feed_url": { "type": "string", "description": "URL of the RSS feed to fetch" }, "max_entries": { "type": "integer", "description": "Maximum number of entries to return. Recommended: 10-20 for most use cases, higher only if comprehensive analysis is needed (default: 10)" }, "fetch_webpage_content": { "type": "boolean", "description": "Whether to fetch and extract content from article webpages. Note: This significantly increases processing time (default: true)" } } required: Optional[List[str]] = ["feed_url"] def __init__(self, rss_base: RSSBase = None): super().__init__() self.rss_base = rss_base or RSSBase() def __call__(self, feed_url: str, max_entries: int = 10, fetch_webpage_content: bool = True) -> Dict[str, Any]: """ Fetch and parse an RSS feed. Args: feed_url: URL of the RSS feed max_entries: Maximum number of entries to return (default: 10) fetch_webpage_content: Whether to fetch and extract content from article webpages Returns: Dictionary with parsed feed information """ return self.rss_base.fetch_rss_feed(feed_url, max_entries, fetch_webpage_content) class RSSValidateTool(Tool): """Tool for validating RSS feed URLs.""" name: str = "rss_validate" description: str = "Validate if a URL contains a valid RSS or Atom feed" inputs: Dict[str, Dict[str, str]] = { "url": { "type": "string", "description": "URL to validate as an RSS feed" } } required: Optional[List[str]] = ["url"] def __init__(self, rss_base: RSSBase = None): super().__init__() self.rss_base = rss_base or RSSBase() def __call__(self, url: str) -> Dict[str, Any]: """ Validate if a URL contains a valid RSS feed. Args: url: URL to validate Returns: Dictionary with validation results """ return self.rss_base.validate_rss_url(url) class RSSToolkit(Toolkit): """Toolkit for RSS feed operations.""" def __init__(self, name: str = "RSSToolkit"): # Create the shared RSS base instance rss_base = RSSBase() # Create tools with the shared RSS base tools = [ RSSFetchTool(rss_base=rss_base), RSSValidateTool(rss_base=rss_base) ] super().__init__(name=name, tools=tools)