Files
crawl4ai/tests/docker/test_hooks_comprehensive.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

558 lines
18 KiB
Python

#!/usr/bin/env python3
"""
Comprehensive test demonstrating all hook types from hooks_example.py
adapted for the Docker API with real URLs
"""
import requests
import json
import time
from typing import Dict, Optional
API_BASE_URL = "http://localhost:11235"
# Global token storage
_auth_token: Optional[str] = None
def get_auth_token(email: str = "test@gmail.com") -> str:
"""
Get a JWT token from the /token endpoint.
The email domain must have valid MX records.
"""
global _auth_token
if _auth_token:
return _auth_token
print(f"🔐 Requesting JWT token for {email}...")
response = requests.post(
f"{API_BASE_URL}/token",
json={"email": email}
)
if response.status_code == 200:
data = response.json()
_auth_token = data["access_token"]
print(f"✅ Token obtained successfully")
return _auth_token
else:
raise Exception(f"Failed to get token: {response.status_code} - {response.text}")
def get_auth_headers() -> Dict[str, str]:
"""Get headers with JWT Bearer token."""
token = get_auth_token()
return {
"Authorization": f"Bearer {token}",
"Content-Type": "application/json"
}
def test_all_hooks_demo():
"""Demonstrate all 8 hook types with practical examples"""
print("=" * 70)
print("Testing: All Hooks Comprehensive Demo")
print("=" * 70)
hooks_code = {
"on_browser_created": """
async def hook(browser, **kwargs):
# Hook called after browser is created
print("[HOOK] on_browser_created - Browser is ready!")
# Browser-level configurations would go here
return browser
""",
"on_page_context_created": """
async def hook(page, context, **kwargs):
# Hook called after a new page and context are created
print("[HOOK] on_page_context_created - New page created!")
# Set viewport size for consistent rendering
await page.set_viewport_size({"width": 1920, "height": 1080})
# Add cookies for the session (using httpbin.org domain)
await context.add_cookies([
{
"name": "test_session",
"value": "abc123xyz",
"domain": ".httpbin.org",
"path": "/",
"httpOnly": True,
"secure": True
}
])
# Block ads and tracking scripts to speed up crawling
await context.route("**/*.{png,jpg,jpeg,gif,webp,svg}", lambda route: route.abort())
await context.route("**/analytics/*", lambda route: route.abort())
await context.route("**/ads/*", lambda route: route.abort())
print("[HOOK] Viewport set, cookies added, and ads blocked")
return page
""",
"on_user_agent_updated": """
async def hook(page, context, user_agent, **kwargs):
# Hook called when user agent is updated
print(f"[HOOK] on_user_agent_updated - User agent: {user_agent[:50]}...")
return page
""",
"before_goto": """
async def hook(page, context, url, **kwargs):
# Hook called before navigating to each URL
print(f"[HOOK] before_goto - About to visit: {url}")
# Add custom headers for the request
await page.set_extra_http_headers({
"X-Custom-Header": "crawl4ai-test",
"Accept-Language": "en-US,en;q=0.9",
"DNT": "1"
})
return page
""",
"after_goto": """
async def hook(page, context, url, response, **kwargs):
# Hook called after navigating to each URL
print(f"[HOOK] after_goto - Successfully loaded: {url}")
# Wait a moment for dynamic content to load
await page.wait_for_timeout(1000)
# Check if specific elements exist (with error handling)
try:
# For httpbin.org, wait for body element
await page.wait_for_selector("body", timeout=2000)
print("[HOOK] Body element found and loaded")
except:
print("[HOOK] Timeout waiting for body, continuing anyway")
return page
""",
"on_execution_started": """
async def hook(page, context, **kwargs):
# Hook called after custom JavaScript execution
print("[HOOK] on_execution_started - Custom JS executed!")
# You could inject additional JavaScript here if needed
await page.evaluate("console.log('[INJECTED] Hook JS running');")
return page
""",
"before_retrieve_html": """
async def hook(page, context, **kwargs):
# Hook called before retrieving the HTML content
print("[HOOK] before_retrieve_html - Preparing to get HTML")
# Scroll to bottom to trigger lazy loading
await page.evaluate("window.scrollTo(0, document.body.scrollHeight);")
await page.wait_for_timeout(500)
# Scroll back to top
await page.evaluate("window.scrollTo(0, 0);")
await page.wait_for_timeout(500)
# One more scroll to middle for good measure
await page.evaluate("window.scrollTo(0, document.body.scrollHeight / 2);")
print("[HOOK] Scrolling completed for lazy-loaded content")
return page
""",
"before_return_html": """
async def hook(page, context, html, **kwargs):
# Hook called before returning the HTML content
print(f"[HOOK] before_return_html - HTML length: {len(html)} characters")
# Log some page metrics
metrics = await page.evaluate('''() => {
return {
images: document.images.length,
links: document.links.length,
scripts: document.scripts.length
}
}''')
print(f"[HOOK] Page metrics - Images: {metrics['images']}, Links: {metrics['links']}, Scripts: {metrics['scripts']}")
return page
"""
}
# Create request payload
payload = {
"urls": ["https://httpbin.org/html"],
"hooks": {
"code": hooks_code,
"timeout": 30
},
"crawler_config": {
"js_code": "window.scrollTo(0, document.body.scrollHeight);",
"wait_for": "body",
"cache_mode": "bypass"
}
}
print("\nSending request with all 8 hooks...")
start_time = time.time()
response = requests.post(f"{API_BASE_URL}/crawl", json=payload, headers=get_auth_headers())
elapsed_time = time.time() - start_time
print(f"Request completed in {elapsed_time:.2f} seconds")
if response.status_code == 200:
data = response.json()
print("\n✅ Request successful!")
# Check hooks execution
if 'hooks' in data:
hooks_info = data['hooks']
print("\n📊 Hooks Execution Summary:")
print(f" Status: {hooks_info['status']['status']}")
print(f" Attached hooks: {len(hooks_info['status']['attached_hooks'])}")
for hook_name in hooks_info['status']['attached_hooks']:
print(f"{hook_name}")
if 'summary' in hooks_info:
summary = hooks_info['summary']
print(f"\n📈 Execution Statistics:")
print(f" Total executions: {summary['total_executions']}")
print(f" Successful: {summary['successful']}")
print(f" Failed: {summary['failed']}")
print(f" Timed out: {summary['timed_out']}")
print(f" Success rate: {summary['success_rate']:.1f}%")
if hooks_info.get('execution_log'):
print(f"\n📝 Execution Log:")
for log_entry in hooks_info['execution_log']:
status_icon = "" if log_entry['status'] == 'success' else ""
exec_time = log_entry.get('execution_time', 0)
print(f" {status_icon} {log_entry['hook_point']}: {exec_time:.3f}s")
# Check crawl results
if 'results' in data and len(data['results']) > 0:
print(f"\n📄 Crawl Results:")
for result in data['results']:
print(f" URL: {result['url']}")
print(f" Success: {result.get('success', False)}")
if result.get('html'):
print(f" HTML length: {len(result['html'])} characters")
else:
print(f"❌ Error: {response.status_code}")
try:
error_data = response.json()
print(f"Error details: {json.dumps(error_data, indent=2)}")
except:
print(f"Error text: {response.text[:500]}")
def test_authentication_flow():
"""Test a complete authentication flow with multiple hooks"""
print("\n" + "=" * 70)
print("Testing: Authentication Flow with Multiple Hooks")
print("=" * 70)
hooks_code = {
"on_page_context_created": """
async def hook(page, context, **kwargs):
print("[HOOK] Setting up authentication context")
# Add authentication cookies
await context.add_cookies([
{
"name": "auth_token",
"value": "fake_jwt_token_here",
"domain": ".httpbin.org",
"path": "/",
"httpOnly": True,
"secure": True
}
])
# Set localStorage items (for SPA authentication)
await page.evaluate('''
localStorage.setItem('user_id', '12345');
localStorage.setItem('auth_time', new Date().toISOString());
''')
return page
""",
"before_goto": """
async def hook(page, context, url, **kwargs):
print(f"[HOOK] Adding auth headers for {url}")
# Add Authorization header
import base64
credentials = base64.b64encode(b"user:passwd").decode('ascii')
await page.set_extra_http_headers({
'Authorization': f'Basic {credentials}',
'X-API-Key': 'test-api-key-123'
})
return page
"""
}
payload = {
"urls": [
"https://httpbin.org/basic-auth/user/passwd"
],
"hooks": {
"code": hooks_code,
"timeout": 15
}
}
print("\nTesting authentication with httpbin endpoints...")
response = requests.post(f"{API_BASE_URL}/crawl", json=payload, headers=get_auth_headers())
if response.status_code == 200:
data = response.json()
print("✅ Authentication test completed")
if 'results' in data:
for i, result in enumerate(data['results']):
print(f"\n URL {i+1}: {result['url']}")
if result.get('success'):
# Check for authentication success indicators
html_content = result.get('html', '')
if '"authenticated"' in html_content and 'true' in html_content:
print(" ✅ Authentication successful! Basic auth worked.")
else:
print(" ⚠️ Page loaded but auth status unclear")
else:
print(f" ❌ Failed: {result.get('error_message', 'Unknown error')}")
else:
print(f"❌ Error: {response.status_code}")
def test_performance_optimization_hooks():
"""Test hooks for performance optimization"""
print("\n" + "=" * 70)
print("Testing: Performance Optimization Hooks")
print("=" * 70)
hooks_code = {
"on_page_context_created": """
async def hook(page, context, **kwargs):
print("[HOOK] Optimizing page for performance")
# Block resource-heavy content
await context.route("**/*.{png,jpg,jpeg,gif,webp,svg,ico}", lambda route: route.abort())
await context.route("**/*.{woff,woff2,ttf,otf}", lambda route: route.abort())
await context.route("**/*.{mp4,webm,ogg,mp3,wav}", lambda route: route.abort())
await context.route("**/googletagmanager.com/*", lambda route: route.abort())
await context.route("**/google-analytics.com/*", lambda route: route.abort())
await context.route("**/doubleclick.net/*", lambda route: route.abort())
await context.route("**/facebook.com/*", lambda route: route.abort())
# Disable animations and transitions
await page.add_style_tag(content='''
*, *::before, *::after {
animation-duration: 0s !important;
animation-delay: 0s !important;
transition-duration: 0s !important;
transition-delay: 0s !important;
}
''')
print("[HOOK] Performance optimizations applied")
return page
""",
"before_retrieve_html": """
async def hook(page, context, **kwargs):
print("[HOOK] Removing unnecessary elements before extraction")
# Remove ads, popups, and other unnecessary elements
await page.evaluate('''() => {
// Remove common ad containers
const adSelectors = [
'.ad', '.ads', '.advertisement', '[id*="ad-"]', '[class*="ad-"]',
'.popup', '.modal', '.overlay', '.cookie-banner', '.newsletter-signup'
];
adSelectors.forEach(selector => {
document.querySelectorAll(selector).forEach(el => el.remove());
});
// Remove script tags to clean up HTML
document.querySelectorAll('script').forEach(el => el.remove());
// Remove style tags we don't need
document.querySelectorAll('style').forEach(el => el.remove());
}''')
return page
"""
}
payload = {
"urls": ["https://httpbin.org/html"],
"hooks": {
"code": hooks_code,
"timeout": 10
}
}
print("\nTesting performance optimization hooks...")
start_time = time.time()
response = requests.post(f"{API_BASE_URL}/crawl", json=payload, headers=get_auth_headers())
elapsed_time = time.time() - start_time
print(f"Request completed in {elapsed_time:.2f} seconds")
if response.status_code == 200:
data = response.json()
print("✅ Performance optimization test completed")
if 'results' in data and len(data['results']) > 0:
result = data['results'][0]
if result.get('html'):
print(f" HTML size: {len(result['html'])} characters")
print(" Resources blocked, ads removed, animations disabled")
else:
print(f"❌ Error: {response.status_code}")
def test_content_extraction_hooks():
"""Test hooks for intelligent content extraction"""
print("\n" + "=" * 70)
print("Testing: Content Extraction Hooks")
print("=" * 70)
hooks_code = {
"after_goto": """
async def hook(page, context, url, response, **kwargs):
print(f"[HOOK] Waiting for dynamic content on {url}")
# Wait for any lazy-loaded content
await page.wait_for_timeout(2000)
# Trigger any "Load More" buttons
try:
load_more = await page.query_selector('[class*="load-more"], [class*="show-more"], button:has-text("Load More")')
if load_more:
await load_more.click()
await page.wait_for_timeout(1000)
print("[HOOK] Clicked 'Load More' button")
except:
pass
return page
""",
"before_retrieve_html": """
async def hook(page, context, **kwargs):
print("[HOOK] Extracting structured data")
# Extract metadata
metadata = await page.evaluate('''() => {
const getMeta = (name) => {
const element = document.querySelector(`meta[name="${name}"], meta[property="${name}"]`);
return element ? element.getAttribute('content') : null;
};
return {
title: document.title,
description: getMeta('description') || getMeta('og:description'),
author: getMeta('author'),
keywords: getMeta('keywords'),
ogTitle: getMeta('og:title'),
ogImage: getMeta('og:image'),
canonical: document.querySelector('link[rel="canonical"]')?.href,
jsonLd: Array.from(document.querySelectorAll('script[type="application/ld+json"]'))
.map(el => el.textContent).filter(Boolean)
};
}''')
print(f"[HOOK] Extracted metadata: {json.dumps(metadata, indent=2)}")
# Infinite scroll handling
for i in range(3):
await page.evaluate("window.scrollTo(0, document.body.scrollHeight);")
await page.wait_for_timeout(1000)
print(f"[HOOK] Scroll iteration {i+1}/3")
return page
"""
}
payload = {
"urls": ["https://httpbin.org/html", "https://httpbin.org/json"],
"hooks": {
"code": hooks_code,
"timeout": 20
}
}
print("\nTesting content extraction hooks...")
response = requests.post(f"{API_BASE_URL}/crawl", json=payload, headers=get_auth_headers())
if response.status_code == 200:
data = response.json()
print("✅ Content extraction test completed")
if 'hooks' in data and 'summary' in data['hooks']:
summary = data['hooks']['summary']
print(f" Hooks executed: {summary['successful']}/{summary['total_executions']}")
if 'results' in data:
for result in data['results']:
print(f"\n URL: {result['url']}")
print(f" Success: {result.get('success', False)}")
else:
print(f"❌ Error: {response.status_code}")
def main():
"""Run comprehensive hook tests"""
print("🔧 Crawl4AI Docker API - Comprehensive Hooks Testing")
print("Based on docs/examples/hooks_example.py")
print("=" * 70)
# Get JWT token first (required when jwt_enabled=true)
try:
get_auth_token()
print("=" * 70)
except Exception as e:
print(f"❌ Failed to authenticate: {e}")
print("Make sure the server is running and jwt_enabled is configured correctly.")
return
tests = [
("All Hooks Demo", test_all_hooks_demo),
("Authentication Flow", test_authentication_flow),
("Performance Optimization", test_performance_optimization_hooks),
("Content Extraction", test_content_extraction_hooks),
]
for i, (name, test_func) in enumerate(tests, 1):
print(f"\n📌 Test {i}/{len(tests)}: {name}")
try:
test_func()
print(f"{name} completed")
except Exception as e:
print(f"{name} failed: {e}")
import traceback
traceback.print_exc()
print("\n" + "=" * 70)
print("🎉 All comprehensive hook tests completed!")
print("=" * 70)
if __name__ == "__main__":
main()