8792a1b0dd
Remove wait_for='body' selector from documentation site crawling config. The body element exists immediately in HTML, causing unnecessary timeouts for JavaScript-rendered content. Now relies on domcontentloaded event and delay_before_return_html for proper JavaScript execution.
224 lines
11 KiB
Python
224 lines
11 KiB
Python
"""
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Recursive Crawling Strategy
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Handles recursive crawling of websites by following internal links.
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"""
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import asyncio
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from typing import List, Dict, Any, Optional, Callable
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from urllib.parse import urldefrag
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from crawl4ai import CrawlerRunConfig, CacheMode, MemoryAdaptiveDispatcher
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from ....config.logfire_config import get_logger
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from ...credential_service import credential_service
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from ..helpers.url_handler import URLHandler
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logger = get_logger(__name__)
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class RecursiveCrawlStrategy:
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"""Strategy for recursive crawling of websites."""
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def __init__(self, crawler, markdown_generator):
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"""
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Initialize recursive crawl strategy.
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Args:
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crawler (AsyncWebCrawler): The Crawl4AI crawler instance for web crawling operations
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markdown_generator (DefaultMarkdownGenerator): The markdown generator instance for converting HTML to markdown
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"""
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self.crawler = crawler
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self.markdown_generator = markdown_generator
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self.url_handler = URLHandler()
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async def crawl_recursive_with_progress(
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self,
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start_urls: List[str],
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transform_url_func: Callable[[str], str],
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is_documentation_site_func: Callable[[str], bool],
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max_depth: int = 3,
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max_concurrent: int = None,
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progress_callback: Optional[Callable] = None,
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start_progress: int = 10,
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end_progress: int = 60
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) -> List[Dict[str, Any]]:
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"""
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Recursively crawl internal links from start URLs up to a maximum depth with progress reporting.
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Args:
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start_urls: List of starting URLs
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transform_url_func: Function to transform URLs (e.g., GitHub URLs)
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is_documentation_site_func: Function to check if URL is a documentation site
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max_depth: Maximum crawl depth
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max_concurrent: Maximum concurrent crawls
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progress_callback: Optional callback for progress updates
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start_progress: Starting progress percentage
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end_progress: Ending progress percentage
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Returns:
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List of crawl results
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"""
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if not self.crawler:
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logger.error("No crawler instance available for recursive crawling")
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if progress_callback:
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await progress_callback('error', 0, 'Crawler not available')
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return []
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# Load settings from database - fail fast on configuration errors
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try:
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settings = await credential_service.get_credentials_by_category("rag_strategy")
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batch_size = int(settings.get("CRAWL_BATCH_SIZE", "50"))
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if max_concurrent is None:
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max_concurrent = int(settings.get("CRAWL_MAX_CONCURRENT", "10"))
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memory_threshold = float(settings.get("MEMORY_THRESHOLD_PERCENT", "80"))
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check_interval = float(settings.get("DISPATCHER_CHECK_INTERVAL", "0.5"))
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except (ValueError, KeyError, TypeError) as e:
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# Critical configuration errors should fail fast in alpha
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logger.error(f"Invalid crawl settings format: {e}", exc_info=True)
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raise ValueError(f"Failed to load crawler configuration: {e}")
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except Exception as e:
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# For non-critical errors (e.g., network issues), use defaults but log prominently
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logger.error(f"Failed to load crawl settings from database: {e}, using defaults", exc_info=True)
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batch_size = 50
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if max_concurrent is None:
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max_concurrent = 10 # Safe default to prevent memory issues
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memory_threshold = 80.0
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check_interval = 0.5
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settings = {} # Empty dict for defaults
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# Check if start URLs include documentation sites
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has_doc_sites = any(is_documentation_site_func(url) for url in start_urls)
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if has_doc_sites:
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logger.info("Detected documentation sites for recursive crawl, using enhanced configuration")
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run_config = CrawlerRunConfig(
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cache_mode=CacheMode.BYPASS,
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stream=True, # Enable streaming for faster parallel processing
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markdown_generator=self.markdown_generator,
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wait_until=settings.get("CRAWL_WAIT_STRATEGY", "domcontentloaded"),
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page_timeout=int(settings.get("CRAWL_PAGE_TIMEOUT", "30000")),
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delay_before_return_html=float(settings.get("CRAWL_DELAY_BEFORE_HTML", "1.0")),
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wait_for_images=False, # Skip images for faster crawling
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scan_full_page=True, # Trigger lazy loading
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exclude_all_images=False,
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remove_overlay_elements=True,
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process_iframes=True
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)
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else:
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# Configuration for regular recursive crawling
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run_config = CrawlerRunConfig(
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cache_mode=CacheMode.BYPASS,
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stream=True, # Enable streaming
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markdown_generator=self.markdown_generator,
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wait_until=settings.get("CRAWL_WAIT_STRATEGY", "domcontentloaded"),
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page_timeout=int(settings.get("CRAWL_PAGE_TIMEOUT", "45000")),
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delay_before_return_html=float(settings.get("CRAWL_DELAY_BEFORE_HTML", "0.5")),
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scan_full_page=True
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)
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dispatcher = MemoryAdaptiveDispatcher(
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memory_threshold_percent=memory_threshold,
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check_interval=check_interval,
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max_session_permit=max_concurrent
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)
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async def report_progress(percentage: int, message: str, **kwargs):
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"""Helper to report progress if callback is available"""
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if progress_callback:
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# Add step information for multi-progress tracking
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step_info = {
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'currentStep': message,
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'stepMessage': message,
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**kwargs
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}
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await progress_callback('crawling', percentage, message, **step_info)
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visited = set()
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def normalize_url(url):
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return urldefrag(url)[0]
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current_urls = set([normalize_url(u) for u in start_urls])
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results_all = []
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total_processed = 0
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for depth in range(max_depth):
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urls_to_crawl = [normalize_url(url) for url in current_urls if normalize_url(url) not in visited]
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if not urls_to_crawl:
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break
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# Calculate progress for this depth level
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depth_start = start_progress + int((depth / max_depth) * (end_progress - start_progress) * 0.8)
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depth_end = start_progress + int(((depth + 1) / max_depth) * (end_progress - start_progress) * 0.8)
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await report_progress(depth_start, f'Crawling depth {depth + 1}/{max_depth}: {len(urls_to_crawl)} URLs to process')
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# Use configured batch size for recursive crawling
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next_level_urls = set()
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depth_successful = 0
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for batch_idx in range(0, len(urls_to_crawl), batch_size):
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batch_urls = urls_to_crawl[batch_idx:batch_idx + batch_size]
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batch_end_idx = min(batch_idx + batch_size, len(urls_to_crawl))
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# Calculate progress for this batch within the depth
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batch_progress = depth_start + int((batch_idx / len(urls_to_crawl)) * (depth_end - depth_start))
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await report_progress(batch_progress,
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f'Depth {depth + 1}: crawling URLs {batch_idx + 1}-{batch_end_idx} of {len(urls_to_crawl)}',
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totalPages=total_processed + batch_idx,
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processedPages=len(results_all))
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# Use arun_many for native parallel crawling with streaming
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logger.info(f"Starting parallel crawl of {len(batch_urls)} URLs with arun_many")
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batch_results = await self.crawler.arun_many(urls=batch_urls, config=run_config, dispatcher=dispatcher)
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# Handle streaming results from arun_many
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i = 0
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async for result in batch_results:
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# Map back to original URL if transformed
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original_url = result.url
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for orig_url in batch_urls:
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if transform_url_func(orig_url) == result.url:
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original_url = orig_url
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break
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norm_url = normalize_url(original_url)
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visited.add(norm_url)
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total_processed += 1
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if result.success and result.markdown:
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results_all.append({
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'url': original_url,
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'markdown': result.markdown,
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'html': result.html # Always use raw HTML for code extraction
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})
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depth_successful += 1
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# Find internal links for next depth
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for link in result.links.get("internal", []):
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next_url = normalize_url(link["href"])
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# Skip binary files and already visited URLs
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if next_url not in visited and not self.url_handler.is_binary_file(next_url):
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next_level_urls.add(next_url)
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elif self.url_handler.is_binary_file(next_url):
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logger.debug(f"Skipping binary file from crawl queue: {next_url}")
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else:
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logger.warning(f"Failed to crawl {original_url}: {getattr(result, 'error_message', 'Unknown error')}")
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# Report progress every few URLs
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current_idx = batch_idx + i + 1
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if current_idx % 5 == 0 or current_idx == len(urls_to_crawl):
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current_progress = depth_start + int((current_idx / len(urls_to_crawl)) * (depth_end - depth_start))
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await report_progress(current_progress,
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f'Depth {depth + 1}: processed {current_idx}/{len(urls_to_crawl)} URLs ({depth_successful} successful)',
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totalPages=total_processed,
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processedPages=len(results_all))
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i += 1
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current_urls = next_level_urls
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# Report completion of this depth
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await report_progress(depth_end,
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f'Depth {depth + 1} completed: {depth_successful} pages crawled, {len(next_level_urls)} URLs found for next depth')
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await report_progress(end_progress, f'Recursive crawling completed: {len(results_all)} total pages crawled across {max_depth} depth levels')
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return results_all |