* Fix: Use correct URL variable for raw HTML extraction (#1116) - Prevents full HTML content from being passed as URL to extraction strategies - Added unit tests to verify raw HTML and regular URL processing Fix: Wrong URL variable used for extraction of raw html * Fix #1181: Preserve whitespace in code blocks during HTML scraping The remove_empty_elements_fast() method was removing whitespace-only span elements inside <pre> and <code> tags, causing import statements like "import torch" to become "importtorch". Now skips elements inside code blocks where whitespace is significant. * Refactor Pydantic model configuration to use ConfigDict for arbitrary types * Fix EmbeddingStrategy: Uncomment response handling for the variations and clean up mock data. ref #1621 * Fix: permission issues with .cache/url_seeder and other runtime cache dirs. ref #1638 * fix: ensure BrowserConfig.to_dict serializes proxy_config * feat: make LLM backoff configurable end-to-end - extend LLMConfig with backoff delay/attempt/factor fields and thread them through LLMExtractionStrategy, LLMContentFilter, table extraction, and Docker API handlers - expose the backoff parameter knobs on perform_completion_with_backoff/aperform_completion_with_backoff and document them in the md_v2 guides * reproduced AttributeError from #1642 * pass timeout parameter to docker client request * added missing deep crawling objects to init * generalized query in ContentRelevanceFilter to be a str or list * import modules from enhanceable deserialization * parameterized tests * Fix: capture current page URL to reflect JavaScript navigation and add test for delayed redirects. ref #1268 * refactor: replace PyPDF2 with pypdf across the codebase. ref #1412 * Add browser_context_id and target_id parameters to BrowserConfig Enable Crawl4AI to connect to pre-created CDP browser contexts, which is essential for cloud browser services that pre-create isolated contexts. Changes: - Add browser_context_id and target_id parameters to BrowserConfig - Update from_kwargs() and to_dict() methods - Modify BrowserManager.start() to use existing context when provided - Add _get_page_by_target_id() helper method - Update get_page() to handle pre-existing targets - Add test for browser_context_id functionality This enables cloud services to: 1. Create isolated CDP contexts before Crawl4AI connects 2. Pass context/target IDs to BrowserConfig 3. Have Crawl4AI reuse existing contexts instead of creating new ones * Add cdp_cleanup_on_close flag to prevent memory leaks in cloud/server scenarios * Fix: add cdp_cleanup_on_close to from_kwargs * Fix: find context by target_id for concurrent CDP connections * Fix: use target_id to find correct page in get_page * Fix: use CDP to find context by browserContextId for concurrent sessions * Revert context matching attempts - Playwright cannot see CDP-created contexts * Add create_isolated_context flag for concurrent CDP crawls When True, forces creation of a new browser context instead of reusing the default context. Essential for concurrent crawls on the same browser to prevent navigation conflicts. * Add context caching to create_isolated_context branch Uses contexts_by_config cache (same as non-CDP mode) to reuse contexts for multiple URLs with same config. Still creates new page per crawl for navigation isolation. Benefits batch/deep crawls. * Add init_scripts support to BrowserConfig for pre-page-load JS injection This adds the ability to inject JavaScript that runs before any page loads, useful for stealth evasions (canvas/audio fingerprinting, userAgentData). - Add init_scripts parameter to BrowserConfig (list of JS strings) - Apply init_scripts in setup_context() via context.add_init_script() - Update from_kwargs() and to_dict() for serialization * Fix CDP connection handling: support WS URLs and proper cleanup Changes to browser_manager.py: 1. _verify_cdp_ready(): Support multiple URL formats - WebSocket URLs (ws://, wss://): Skip HTTP verification, Playwright handles directly - HTTP URLs with query params: Properly parse with urlparse to preserve query string - Fixes issue where naive f"{cdp_url}/json/version" broke WS URLs and query params 2. close(): Proper cleanup when cdp_cleanup_on_close=True - Close all sessions (pages) - Close all contexts - Call browser.close() to disconnect (doesn't terminate browser, just releases connection) - Wait 1 second for CDP connection to fully release - Stop Playwright instance to prevent memory leaks This enables: - Connecting to specific browsers via WS URL - Reusing the same browser with multiple sequential connections - No user wait needed between connections (internal 1s delay handles it) Added tests/browser/test_cdp_cleanup_reuse.py with comprehensive tests. * Update gitignore * Some debugging for caching * Add _generate_screenshot_from_html for raw: and file:// URLs Implements the missing method that was being called but never defined. Now raw: and file:// URLs can generate screenshots by: 1. Loading HTML into a browser page via page.set_content() 2. Taking screenshot using existing take_screenshot() method 3. Cleaning up the page afterward This enables cached HTML to be rendered with screenshots in crawl4ai-cloud. * Add PDF and MHTML support for raw: and file:// URLs - Replace _generate_screenshot_from_html with _generate_media_from_html - New method handles screenshot, PDF, and MHTML in one browser session - Update raw: and file:// URL handlers to use new method - Enables cached HTML to generate all media types * Add crash recovery for deep crawl strategies Add optional resume_state and on_state_change parameters to all deep crawl strategies (BFS, DFS, Best-First) for cloud deployment crash recovery. Features: - resume_state: Pass saved state to resume from checkpoint - on_state_change: Async callback fired after each URL for real-time state persistence to external storage (Redis, DB, etc.) - export_state(): Get last captured state manually - Zero overhead when features are disabled (None defaults) State includes visited URLs, pending queue/stack, depths, and pages_crawled count. All state is JSON-serializable. * Fix: HTTP strategy raw: URL parsing truncates at # character The AsyncHTTPCrawlerStrategy.crawl() method used urlparse() to extract content from raw: URLs. This caused HTML with CSS color codes like #eee to be truncated because # is treated as a URL fragment delimiter. Before: raw:body{background:#eee} -> parsed.path = 'body{background:' After: raw:body{background:#eee} -> raw_content = 'body{background:#eee' Fix: Strip the raw: or raw:// prefix directly instead of using urlparse, matching how the browser strategy handles it. * Add base_url parameter to CrawlerRunConfig for raw HTML processing When processing raw: HTML (e.g., from cache), the URL parameter is meaningless for markdown link resolution. This adds a base_url parameter that can be set explicitly to provide proper URL resolution context. Changes: - Add base_url parameter to CrawlerRunConfig.__init__ - Add base_url to CrawlerRunConfig.from_kwargs - Update aprocess_html to use base_url for markdown generation Usage: config = CrawlerRunConfig(base_url='https://example.com') result = await crawler.arun(url='raw:{html}', config=config) * Add prefetch mode for two-phase deep crawling - Add `prefetch` parameter to CrawlerRunConfig - Add `quick_extract_links()` function for fast link extraction - Add short-circuit in aprocess_html() for prefetch mode - Add 42 tests (unit, integration, regression) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * Updates on proxy rotation and proxy configuration * Add proxy support to HTTP crawler strategy * Add browser pipeline support for raw:/file:// URLs - Add process_in_browser parameter to CrawlerRunConfig - Route raw:/file:// URLs through _crawl_web() when browser operations needed - Use page.set_content() instead of goto() for local content - Fix cookie handling for non-HTTP URLs in browser_manager - Auto-detect browser requirements: js_code, wait_for, screenshot, etc. - Maintain fast path for raw:/file:// without browser params Fixes #310 * Add smart TTL cache for sitemap URL seeder - Add cache_ttl_hours and validate_sitemap_lastmod params to SeedingConfig - New JSON cache format with metadata (version, created_at, lastmod, url_count) - Cache validation by TTL expiry and sitemap lastmod comparison - Auto-migration from old .jsonl to new .json format - Fixes bug where incomplete cache was used indefinitely * Update URL seeder docs with smart TTL cache parameters - Add cache_ttl_hours and validate_sitemap_lastmod to parameter table - Document smart TTL cache validation with examples - Add cache-related troubleshooting entries - Update key features summary * Add MEMORY.md to gitignore * Docs: Add multi-sample schema generation section Add documentation explaining how to pass multiple HTML samples to generate_schema() for stable selectors that work across pages with varying DOM structures. Includes: - Problem explanation (fragile nth-child selectors) - Solution with code example - Key points for multi-sample queries - Comparison table of fragile vs stable selectors * Fix critical RCE and LFI vulnerabilities in Docker API deployment Security fixes for vulnerabilities reported by ProjectDiscovery: 1. Remote Code Execution via Hooks (CVE pending) - Remove __import__ from allowed_builtins in hook_manager.py - Prevents arbitrary module imports (os, subprocess, etc.) - Hooks now disabled by default via CRAWL4AI_HOOKS_ENABLED env var 2. Local File Inclusion via file:// URLs (CVE pending) - Add URL scheme validation to /execute_js, /screenshot, /pdf, /html - Block file://, javascript:, data: and other dangerous schemes - Only allow http://, https://, and raw: (where appropriate) 3. Security hardening - Add CRAWL4AI_HOOKS_ENABLED=false as default (opt-in for hooks) - Add security warning comments in config.yml - Add validate_url_scheme() helper for consistent validation Testing: - Add unit tests (test_security_fixes.py) - 16 tests - Add integration tests (run_security_tests.py) for live server Affected endpoints: - POST /crawl (hooks disabled by default) - POST /crawl/stream (hooks disabled by default) - POST /execute_js (URL validation added) - POST /screenshot (URL validation added) - POST /pdf (URL validation added) - POST /html (URL validation added) Breaking changes: - Hooks require CRAWL4AI_HOOKS_ENABLED=true to function - file:// URLs no longer work on API endpoints (use library directly) * Enhance authentication flow by implementing JWT token retrieval and adding authorization headers to API requests * Add release notes for v0.7.9, detailing breaking changes, security fixes, new features, bug fixes, and documentation updates * Add release notes for v0.8.0, detailing breaking changes, security fixes, new features, bug fixes, and documentation updates Documentation for v0.8.0 release: - SECURITY.md: Security policy and vulnerability reporting guidelines - RELEASE_NOTES_v0.8.0.md: Comprehensive release notes - migration/v0.8.0-upgrade-guide.md: Step-by-step migration guide - security/GHSA-DRAFT-RCE-LFI.md: GitHub security advisory drafts - CHANGELOG.md: Updated with v0.8.0 changes Breaking changes documented: - Docker API hooks disabled by default (CRAWL4AI_HOOKS_ENABLED) - file:// URLs blocked on Docker API endpoints Security fixes credited to Neo by ProjectDiscovery * Add examples for deep crawl crash recovery and prefetch mode in documentation * Release v0.8.0: The v0.8.0 Update - Updated version to 0.8.0 - Added comprehensive demo and release notes - Updated all documentation * Update security researcher acknowledgment with a hyperlink for Neo by ProjectDiscovery * Add async agenerate_schema method for schema generation - Extract prompt building to shared _build_schema_prompt() method - Add agenerate_schema() async version using aperform_completion_with_backoff - Refactor generate_schema() to use shared prompt builder - Fixes Gemini/Vertex AI compatibility in async contexts (FastAPI) * Fix: Enable litellm.drop_params for O-series/GPT-5 model compatibility O-series (o1, o3) and GPT-5 models only support temperature=1. Setting litellm.drop_params=True auto-drops unsupported parameters instead of throwing UnsupportedParamsError. Fixes temperature=0.01 error for these models in LLM extraction. --------- Co-authored-by: rbushria <rbushri@gmail.com> Co-authored-by: AHMET YILMAZ <tawfik@kidocode.com> Co-authored-by: Soham Kukreti <kukretisoham@gmail.com> Co-authored-by: Chris Murphy <chris.murphy@klaviyo.com> Co-authored-by: unclecode <unclecode@kidocode.com> Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
237 lines
8.4 KiB
Python
237 lines
8.4 KiB
Python
"""Integration tests for prefetch mode with the crawler."""
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import pytest
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import asyncio
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from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, BrowserConfig
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# Use crawl4ai docs as test domain
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TEST_DOMAIN = "https://docs.crawl4ai.com"
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class TestPrefetchModeIntegration:
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"""Integration tests for prefetch mode."""
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@pytest.mark.asyncio
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async def test_prefetch_returns_html_and_links(self):
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"""Test that prefetch mode returns HTML and links only."""
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async with AsyncWebCrawler() as crawler:
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config = CrawlerRunConfig(prefetch=True)
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result = await crawler.arun(TEST_DOMAIN, config=config)
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# Should have HTML
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assert result.html is not None
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assert len(result.html) > 0
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assert "<html" in result.html.lower() or "<!doctype" in result.html.lower()
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# Should have links
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assert result.links is not None
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assert "internal" in result.links
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assert "external" in result.links
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# Should NOT have processed content
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assert result.markdown is None or (
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hasattr(result.markdown, 'raw_markdown') and
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result.markdown.raw_markdown is None
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)
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assert result.cleaned_html is None
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assert result.extracted_content is None
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@pytest.mark.asyncio
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async def test_prefetch_preserves_metadata(self):
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"""Test that prefetch mode preserves essential metadata."""
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async with AsyncWebCrawler() as crawler:
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config = CrawlerRunConfig(prefetch=True)
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result = await crawler.arun(TEST_DOMAIN, config=config)
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# Should have success flag
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assert result.success is True
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# Should have URL
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assert result.url is not None
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# Status code should be present
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assert result.status_code is not None or result.status_code == 200
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@pytest.mark.asyncio
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async def test_prefetch_with_deep_crawl(self):
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"""Test prefetch mode with deep crawl strategy."""
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from crawl4ai import BFSDeepCrawlStrategy
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async with AsyncWebCrawler() as crawler:
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config = CrawlerRunConfig(
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prefetch=True,
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deep_crawl_strategy=BFSDeepCrawlStrategy(
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max_depth=1,
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max_pages=3
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)
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)
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result_container = await crawler.arun(TEST_DOMAIN, config=config)
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# Handle both list and iterator results
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if hasattr(result_container, '__aiter__'):
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results = [r async for r in result_container]
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else:
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results = list(result_container) if hasattr(result_container, '__iter__') else [result_container]
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# Each result should have HTML and links
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for result in results:
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assert result.html is not None
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assert result.links is not None
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# Should have crawled at least one page
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assert len(results) >= 1
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@pytest.mark.asyncio
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async def test_prefetch_then_process_with_raw(self):
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"""Test the full two-phase workflow: prefetch then process."""
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async with AsyncWebCrawler() as crawler:
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# Phase 1: Prefetch
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prefetch_config = CrawlerRunConfig(prefetch=True)
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prefetch_result = await crawler.arun(TEST_DOMAIN, config=prefetch_config)
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stored_html = prefetch_result.html
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assert stored_html is not None
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assert len(stored_html) > 0
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# Phase 2: Process with raw: URL
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process_config = CrawlerRunConfig(
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# No prefetch - full processing
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base_url=TEST_DOMAIN # Provide base URL for link resolution
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)
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processed_result = await crawler.arun(
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f"raw:{stored_html}",
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config=process_config
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)
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# Should now have full processing
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assert processed_result.html is not None
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assert processed_result.success is True
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# Note: cleaned_html and markdown depend on the content
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@pytest.mark.asyncio
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async def test_prefetch_links_structure(self):
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"""Test that links have the expected structure."""
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async with AsyncWebCrawler() as crawler:
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config = CrawlerRunConfig(prefetch=True)
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result = await crawler.arun(TEST_DOMAIN, config=config)
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assert result.links is not None
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# Check internal links structure
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if result.links["internal"]:
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link = result.links["internal"][0]
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assert "href" in link
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assert "text" in link
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assert link["href"].startswith("http")
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# Check external links structure (if any)
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if result.links["external"]:
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link = result.links["external"][0]
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assert "href" in link
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assert "text" in link
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assert link["href"].startswith("http")
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@pytest.mark.asyncio
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async def test_prefetch_config_clone(self):
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"""Test that config.clone() preserves prefetch setting."""
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config = CrawlerRunConfig(prefetch=True)
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cloned = config.clone()
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assert cloned.prefetch == True
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# Clone with override
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cloned_false = config.clone(prefetch=False)
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assert cloned_false.prefetch == False
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@pytest.mark.asyncio
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async def test_prefetch_to_dict(self):
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"""Test that to_dict() includes prefetch."""
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config = CrawlerRunConfig(prefetch=True)
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config_dict = config.to_dict()
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assert "prefetch" in config_dict
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assert config_dict["prefetch"] == True
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@pytest.mark.asyncio
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async def test_prefetch_default_false(self):
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"""Test that prefetch defaults to False."""
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config = CrawlerRunConfig()
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assert config.prefetch == False
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@pytest.mark.asyncio
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async def test_prefetch_explicit_false(self):
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"""Test explicit prefetch=False works like default."""
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async with AsyncWebCrawler() as crawler:
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config = CrawlerRunConfig(prefetch=False)
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result = await crawler.arun(TEST_DOMAIN, config=config)
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# Should have full processing
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assert result.html is not None
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# cleaned_html should be populated in normal mode
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assert result.cleaned_html is not None
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class TestPrefetchPerformance:
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"""Performance-related tests for prefetch mode."""
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@pytest.mark.asyncio
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async def test_prefetch_returns_quickly(self):
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"""Test that prefetch mode returns results quickly."""
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import time
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async with AsyncWebCrawler() as crawler:
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# Prefetch mode
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start = time.time()
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prefetch_config = CrawlerRunConfig(prefetch=True)
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await crawler.arun(TEST_DOMAIN, config=prefetch_config)
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prefetch_time = time.time() - start
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# Full mode
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start = time.time()
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full_config = CrawlerRunConfig()
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await crawler.arun(TEST_DOMAIN, config=full_config)
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full_time = time.time() - start
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# Log times for debugging
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print(f"\nPrefetch: {prefetch_time:.3f}s, Full: {full_time:.3f}s")
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# Prefetch should not be significantly slower
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# (may be same or slightly faster depending on content)
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# This is a soft check - mostly for logging
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class TestPrefetchWithRawHTML:
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"""Test prefetch mode with raw HTML input."""
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@pytest.mark.asyncio
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async def test_prefetch_with_raw_html(self):
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"""Test prefetch mode works with raw: URL scheme."""
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sample_html = """
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<html>
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<head><title>Test Page</title></head>
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<body>
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<h1>Hello World</h1>
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<a href="/link1">Link 1</a>
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<a href="/link2">Link 2</a>
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<a href="https://external.com/page">External</a>
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</body>
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</html>
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"""
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async with AsyncWebCrawler() as crawler:
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config = CrawlerRunConfig(
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prefetch=True,
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base_url="https://example.com"
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)
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result = await crawler.arun(f"raw:{sample_html}", config=config)
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assert result.success is True
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assert result.html is not None
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assert result.links is not None
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# Should have extracted links
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assert len(result.links["internal"]) >= 2
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assert len(result.links["external"]) >= 1
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