Files
crawl4ai/tests/deep_crawling/test_deep_crawl_resume_integration.py
Nasrin f6f7f1b551 Release v0.8.0: Crash Recovery, Prefetch Mode & Security Fixes (#1712)
* 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>
2026-01-17 14:19:15 +01:00

163 lines
5.8 KiB
Python

"""
Integration Test: Deep Crawl Resume with Real URLs
Tests the crash recovery feature using books.toscrape.com - a site
designed for scraping practice with a clear hierarchy:
- Home page → Category pages → Book detail pages
"""
import pytest
import asyncio
import json
from typing import Dict, Any, List
from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
from crawl4ai.deep_crawling import BFSDeepCrawlStrategy
class TestBFSResumeIntegration:
"""Integration tests for BFS resume with real crawling."""
@pytest.mark.asyncio
async def test_real_crawl_state_capture_and_resume(self):
"""
Test crash recovery with real URLs from books.toscrape.com.
Flow:
1. Start crawl with state callback
2. Stop after N pages (simulated crash)
3. Resume from saved state
4. Verify no duplicate crawls
"""
# Phase 1: Initial crawl that "crashes" after 3 pages
crash_after = 3
captured_states: List[Dict[str, Any]] = []
crawled_urls_phase1: List[str] = []
async def capture_state_until_crash(state: Dict[str, Any]):
captured_states.append(state)
crawled_urls_phase1.clear()
crawled_urls_phase1.extend(state["visited"])
if state["pages_crawled"] >= crash_after:
raise Exception("Simulated crash!")
strategy1 = BFSDeepCrawlStrategy(
max_depth=2,
max_pages=10,
on_state_change=capture_state_until_crash,
)
config = CrawlerRunConfig(
deep_crawl_strategy=strategy1,
stream=False,
verbose=False,
)
async with AsyncWebCrawler(verbose=False) as crawler:
# First crawl - will crash after 3 pages
with pytest.raises(Exception, match="Simulated crash"):
await crawler.arun("https://books.toscrape.com", config=config)
# Verify we captured state before crash
assert len(captured_states) > 0, "No states captured before crash"
last_state = captured_states[-1]
print(f"\n=== Phase 1: Crashed after {last_state['pages_crawled']} pages ===")
print(f"Visited URLs: {len(last_state['visited'])}")
print(f"Pending URLs: {len(last_state['pending'])}")
# Verify state structure
assert last_state["strategy_type"] == "bfs"
assert last_state["pages_crawled"] >= crash_after
assert len(last_state["visited"]) > 0
assert "pending" in last_state
assert "depths" in last_state
# Verify state is JSON serializable (important for Redis/DB storage)
json_str = json.dumps(last_state)
restored_state = json.loads(json_str)
assert restored_state == last_state, "State not JSON round-trip safe"
# Phase 2: Resume from checkpoint
crawled_urls_phase2: List[str] = []
async def track_resumed_crawl(state: Dict[str, Any]):
# Track what's being crawled in phase 2
new_visited = set(state["visited"]) - set(last_state["visited"])
for url in new_visited:
if url not in crawled_urls_phase2:
crawled_urls_phase2.append(url)
strategy2 = BFSDeepCrawlStrategy(
max_depth=2,
max_pages=10,
resume_state=restored_state,
on_state_change=track_resumed_crawl,
)
config2 = CrawlerRunConfig(
deep_crawl_strategy=strategy2,
stream=False,
verbose=False,
)
async with AsyncWebCrawler(verbose=False) as crawler:
results = await crawler.arun("https://books.toscrape.com", config=config2)
print(f"\n=== Phase 2: Resumed crawl ===")
print(f"New URLs crawled: {len(crawled_urls_phase2)}")
print(f"Final pages_crawled: {strategy2._pages_crawled}")
# Verify no duplicates - URLs from phase 1 should not be re-crawled
already_crawled = set(last_state["visited"]) - {item["url"] for item in last_state["pending"]}
duplicates = set(crawled_urls_phase2) & already_crawled
assert len(duplicates) == 0, f"Duplicate crawls detected: {duplicates}"
# Verify we made progress (crawled some of the pending URLs)
pending_urls = {item["url"] for item in last_state["pending"]}
crawled_pending = set(crawled_urls_phase2) & pending_urls
print(f"Pending URLs crawled in phase 2: {len(crawled_pending)}")
# Final state should show more pages crawled than before crash
final_state = strategy2.export_state()
if final_state:
assert final_state["pages_crawled"] >= last_state["pages_crawled"], \
"Resume did not make progress"
print("\n=== Integration test PASSED ===")
@pytest.mark.asyncio
async def test_state_export_method(self):
"""Test that export_state() returns valid state during crawl."""
states_from_callback: List[Dict] = []
async def capture(state):
states_from_callback.append(state)
strategy = BFSDeepCrawlStrategy(
max_depth=1,
max_pages=3,
on_state_change=capture,
)
config = CrawlerRunConfig(
deep_crawl_strategy=strategy,
stream=False,
verbose=False,
)
async with AsyncWebCrawler(verbose=False) as crawler:
await crawler.arun("https://books.toscrape.com", config=config)
# export_state should return the last captured state
exported = strategy.export_state()
assert exported is not None, "export_state() returned None"
assert exported == states_from_callback[-1], "export_state() doesn't match last callback"
print(f"\n=== export_state() test PASSED ===")
print(f"Final state: {exported['pages_crawled']} pages, {len(exported['visited'])} visited")