* 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>
490 lines
17 KiB
Python
490 lines
17 KiB
Python
"""Test for browser_context_id and target_id parameters.
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These tests verify that Crawl4AI can connect to and use pre-created
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browser contexts, which is essential for cloud browser services that
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pre-create isolated contexts for each user.
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The flow being tested:
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1. Start a browser with CDP
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2. Create a context via raw CDP commands (simulating cloud service)
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3. Create a page/target in that context
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4. Have Crawl4AI connect using browser_context_id and target_id
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5. Verify Crawl4AI uses the existing context/page instead of creating new ones
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"""
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import asyncio
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import json
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import os
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import sys
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import websockets
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# Add the project root to Python path if running directly
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if __name__ == "__main__":
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sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '../..')))
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from crawl4ai.browser_manager import BrowserManager, ManagedBrowser
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from crawl4ai.async_configs import BrowserConfig, CrawlerRunConfig
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from crawl4ai.async_logger import AsyncLogger
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# Create a logger for clear terminal output
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logger = AsyncLogger(verbose=True, log_file=None)
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class CDPContextCreator:
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"""
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Helper class to create browser contexts via raw CDP commands.
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This simulates what a cloud browser service would do.
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"""
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def __init__(self, cdp_url: str):
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self.cdp_url = cdp_url
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self._message_id = 0
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self._ws = None
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self._pending_responses = {}
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self._receiver_task = None
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async def connect(self):
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"""Establish WebSocket connection to browser."""
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# Convert HTTP URL to WebSocket URL if needed
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ws_url = self.cdp_url.replace("http://", "ws://").replace("https://", "wss://")
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if not ws_url.endswith("/devtools/browser"):
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# Get the browser websocket URL from /json/version
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import aiohttp
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async with aiohttp.ClientSession() as session:
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async with session.get(f"{self.cdp_url}/json/version") as response:
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data = await response.json()
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ws_url = data.get("webSocketDebuggerUrl", ws_url)
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self._ws = await websockets.connect(ws_url, max_size=None, ping_interval=None)
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self._receiver_task = asyncio.create_task(self._receive_messages())
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logger.info(f"Connected to CDP at {ws_url}", tag="CDP")
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async def disconnect(self):
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"""Close WebSocket connection."""
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if self._receiver_task:
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self._receiver_task.cancel()
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try:
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await self._receiver_task
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except asyncio.CancelledError:
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pass
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if self._ws:
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await self._ws.close()
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self._ws = None
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async def _receive_messages(self):
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"""Background task to receive CDP messages."""
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try:
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async for message in self._ws:
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data = json.loads(message)
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msg_id = data.get('id')
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if msg_id is not None and msg_id in self._pending_responses:
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self._pending_responses[msg_id].set_result(data)
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except asyncio.CancelledError:
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pass
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except Exception as e:
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logger.error(f"CDP receiver error: {e}", tag="CDP")
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async def _send_command(self, method: str, params: dict = None) -> dict:
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"""Send CDP command and wait for response."""
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self._message_id += 1
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msg_id = self._message_id
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message = {
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"id": msg_id,
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"method": method,
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"params": params or {}
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}
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future = asyncio.get_event_loop().create_future()
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self._pending_responses[msg_id] = future
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try:
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await self._ws.send(json.dumps(message))
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response = await asyncio.wait_for(future, timeout=30.0)
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if 'error' in response:
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raise Exception(f"CDP error: {response['error']}")
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return response.get('result', {})
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finally:
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self._pending_responses.pop(msg_id, None)
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async def create_context(self) -> dict:
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"""
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Create an isolated browser context with a blank page.
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Returns:
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dict with browser_context_id, target_id, and cdp_session_id
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"""
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await self.connect()
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# 1. Create isolated browser context
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result = await self._send_command("Target.createBrowserContext", {
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"disposeOnDetach": False # Keep context alive
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})
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browser_context_id = result["browserContextId"]
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logger.info(f"Created browser context: {browser_context_id}", tag="CDP")
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# 2. Create a new page (target) in the context
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result = await self._send_command("Target.createTarget", {
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"url": "about:blank",
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"browserContextId": browser_context_id
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})
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target_id = result["targetId"]
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logger.info(f"Created target: {target_id}", tag="CDP")
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# 3. Attach to the target to get a session ID
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result = await self._send_command("Target.attachToTarget", {
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"targetId": target_id,
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"flatten": True
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})
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cdp_session_id = result["sessionId"]
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logger.info(f"Attached to target, sessionId: {cdp_session_id}", tag="CDP")
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return {
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"browser_context_id": browser_context_id,
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"target_id": target_id,
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"cdp_session_id": cdp_session_id
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}
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async def get_targets(self) -> list:
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"""Get list of all targets in the browser."""
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result = await self._send_command("Target.getTargets")
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return result.get("targetInfos", [])
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async def dispose_context(self, browser_context_id: str):
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"""Dispose of a browser context."""
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try:
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await self._send_command("Target.disposeBrowserContext", {
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"browserContextId": browser_context_id
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})
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logger.info(f"Disposed browser context: {browser_context_id}", tag="CDP")
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except Exception as e:
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logger.warning(f"Error disposing context: {e}", tag="CDP")
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async def test_browser_context_id_basic():
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"""
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Test that BrowserConfig accepts browser_context_id and target_id parameters.
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"""
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logger.info("Testing BrowserConfig browser_context_id parameter", tag="TEST")
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try:
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# Test that BrowserConfig accepts the new parameters
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config = BrowserConfig(
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cdp_url="http://localhost:9222",
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browser_context_id="test-context-id",
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target_id="test-target-id",
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headless=True
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)
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# Verify parameters are set correctly
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assert config.browser_context_id == "test-context-id", "browser_context_id not set"
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assert config.target_id == "test-target-id", "target_id not set"
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# Test from_kwargs
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config2 = BrowserConfig.from_kwargs({
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"cdp_url": "http://localhost:9222",
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"browser_context_id": "test-context-id-2",
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"target_id": "test-target-id-2"
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})
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assert config2.browser_context_id == "test-context-id-2", "browser_context_id not set via from_kwargs"
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assert config2.target_id == "test-target-id-2", "target_id not set via from_kwargs"
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# Test to_dict
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config_dict = config.to_dict()
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assert config_dict.get("browser_context_id") == "test-context-id", "browser_context_id not in to_dict"
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assert config_dict.get("target_id") == "test-target-id", "target_id not in to_dict"
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logger.success("BrowserConfig browser_context_id test passed", tag="TEST")
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return True
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except Exception as e:
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logger.error(f"Test failed: {str(e)}", tag="TEST")
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return False
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async def test_pre_created_context_usage():
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"""
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Test that Crawl4AI uses a pre-created browser context instead of creating a new one.
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This simulates the cloud browser service flow:
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1. Start browser with CDP
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2. Create context via raw CDP (simulating cloud service)
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3. Have Crawl4AI connect with browser_context_id
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4. Verify it uses existing context
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"""
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logger.info("Testing pre-created context usage", tag="TEST")
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# Start a managed browser first
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browser_config_initial = BrowserConfig(
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use_managed_browser=True,
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headless=True,
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debugging_port=9226, # Use unique port
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verbose=True
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)
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managed_browser = ManagedBrowser(browser_config=browser_config_initial, logger=logger)
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cdp_creator = None
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manager = None
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context_info = None
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try:
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# Start the browser
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cdp_url = await managed_browser.start()
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logger.info(f"Browser started at {cdp_url}", tag="TEST")
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# Create a context via raw CDP (simulating cloud service)
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cdp_creator = CDPContextCreator(cdp_url)
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context_info = await cdp_creator.create_context()
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logger.info(f"Pre-created context: {context_info['browser_context_id']}", tag="TEST")
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logger.info(f"Pre-created target: {context_info['target_id']}", tag="TEST")
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# Get initial target count
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targets_before = await cdp_creator.get_targets()
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initial_target_count = len(targets_before)
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logger.info(f"Initial target count: {initial_target_count}", tag="TEST")
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# Now create BrowserManager with browser_context_id and target_id
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browser_config = BrowserConfig(
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cdp_url=cdp_url,
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browser_context_id=context_info['browser_context_id'],
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target_id=context_info['target_id'],
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headless=True,
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verbose=True
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)
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manager = BrowserManager(browser_config=browser_config, logger=logger)
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await manager.start()
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logger.info("BrowserManager started with pre-created context", tag="TEST")
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# Get a page
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crawler_config = CrawlerRunConfig()
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page, context = await manager.get_page(crawler_config)
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# Navigate to a test page
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await page.goto("https://example.com", wait_until="domcontentloaded")
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title = await page.title()
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logger.info(f"Page title: {title}", tag="TEST")
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# Get target count after
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targets_after = await cdp_creator.get_targets()
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final_target_count = len(targets_after)
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logger.info(f"Final target count: {final_target_count}", tag="TEST")
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# Verify: target count should not have increased significantly
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# (allow for 1 extra target for internal use, but not many more)
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target_diff = final_target_count - initial_target_count
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logger.info(f"Target count difference: {target_diff}", tag="TEST")
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# Success criteria:
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# 1. Page navigation worked
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# 2. Target count didn't explode (reused existing context)
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success = title == "Example Domain" and target_diff <= 1
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if success:
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logger.success("Pre-created context usage test passed", tag="TEST")
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else:
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logger.error(f"Test failed - Title: {title}, Target diff: {target_diff}", tag="TEST")
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return success
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except Exception as e:
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logger.error(f"Test failed: {str(e)}", tag="TEST")
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import traceback
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traceback.print_exc()
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return False
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finally:
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# Cleanup
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if manager:
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try:
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await manager.close()
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except:
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pass
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if cdp_creator and context_info:
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try:
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await cdp_creator.dispose_context(context_info['browser_context_id'])
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await cdp_creator.disconnect()
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except:
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pass
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if managed_browser:
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|
try:
|
|
await managed_browser.cleanup()
|
|
except:
|
|
pass
|
|
|
|
|
|
async def test_context_isolation():
|
|
"""
|
|
Test that using browser_context_id actually provides isolation.
|
|
Create two contexts and verify they don't share state.
|
|
"""
|
|
logger.info("Testing context isolation with browser_context_id", tag="TEST")
|
|
|
|
browser_config_initial = BrowserConfig(
|
|
use_managed_browser=True,
|
|
headless=True,
|
|
debugging_port=9227,
|
|
verbose=True
|
|
)
|
|
|
|
managed_browser = ManagedBrowser(browser_config=browser_config_initial, logger=logger)
|
|
cdp_creator = None
|
|
manager1 = None
|
|
manager2 = None
|
|
context_info_1 = None
|
|
context_info_2 = None
|
|
|
|
try:
|
|
# Start the browser
|
|
cdp_url = await managed_browser.start()
|
|
logger.info(f"Browser started at {cdp_url}", tag="TEST")
|
|
|
|
# Create two separate contexts
|
|
cdp_creator = CDPContextCreator(cdp_url)
|
|
context_info_1 = await cdp_creator.create_context()
|
|
logger.info(f"Context 1: {context_info_1['browser_context_id']}", tag="TEST")
|
|
|
|
# Need to reconnect for second context (or use same connection)
|
|
await cdp_creator.disconnect()
|
|
cdp_creator2 = CDPContextCreator(cdp_url)
|
|
context_info_2 = await cdp_creator2.create_context()
|
|
logger.info(f"Context 2: {context_info_2['browser_context_id']}", tag="TEST")
|
|
|
|
# Verify contexts are different
|
|
assert context_info_1['browser_context_id'] != context_info_2['browser_context_id'], \
|
|
"Contexts should have different IDs"
|
|
|
|
# Connect with first context
|
|
browser_config_1 = BrowserConfig(
|
|
cdp_url=cdp_url,
|
|
browser_context_id=context_info_1['browser_context_id'],
|
|
target_id=context_info_1['target_id'],
|
|
headless=True
|
|
)
|
|
|
|
manager1 = BrowserManager(browser_config=browser_config_1, logger=logger)
|
|
await manager1.start()
|
|
|
|
# Set a cookie in context 1
|
|
page1, ctx1 = await manager1.get_page(CrawlerRunConfig())
|
|
await page1.goto("https://example.com", wait_until="domcontentloaded")
|
|
await ctx1.add_cookies([{
|
|
"name": "test_isolation",
|
|
"value": "context_1_value",
|
|
"domain": "example.com",
|
|
"path": "/"
|
|
}])
|
|
|
|
cookies1 = await ctx1.cookies(["https://example.com"])
|
|
cookie1_value = next((c["value"] for c in cookies1 if c["name"] == "test_isolation"), None)
|
|
logger.info(f"Cookie in context 1: {cookie1_value}", tag="TEST")
|
|
|
|
# Connect with second context
|
|
browser_config_2 = BrowserConfig(
|
|
cdp_url=cdp_url,
|
|
browser_context_id=context_info_2['browser_context_id'],
|
|
target_id=context_info_2['target_id'],
|
|
headless=True
|
|
)
|
|
|
|
manager2 = BrowserManager(browser_config=browser_config_2, logger=logger)
|
|
await manager2.start()
|
|
|
|
# Check cookies in context 2 - should not have the cookie from context 1
|
|
page2, ctx2 = await manager2.get_page(CrawlerRunConfig())
|
|
await page2.goto("https://example.com", wait_until="domcontentloaded")
|
|
|
|
cookies2 = await ctx2.cookies(["https://example.com"])
|
|
cookie2_value = next((c["value"] for c in cookies2 if c["name"] == "test_isolation"), None)
|
|
logger.info(f"Cookie in context 2: {cookie2_value}", tag="TEST")
|
|
|
|
# Verify isolation
|
|
isolation_works = cookie1_value == "context_1_value" and cookie2_value is None
|
|
|
|
if isolation_works:
|
|
logger.success("Context isolation test passed", tag="TEST")
|
|
else:
|
|
logger.error(f"Isolation failed - Cookie1: {cookie1_value}, Cookie2: {cookie2_value}", tag="TEST")
|
|
|
|
return isolation_works
|
|
|
|
except Exception as e:
|
|
logger.error(f"Test failed: {str(e)}", tag="TEST")
|
|
import traceback
|
|
traceback.print_exc()
|
|
return False
|
|
|
|
finally:
|
|
# Cleanup
|
|
for mgr in [manager1, manager2]:
|
|
if mgr:
|
|
try:
|
|
await mgr.close()
|
|
except:
|
|
pass
|
|
|
|
for ctx_info, creator in [(context_info_1, cdp_creator), (context_info_2, cdp_creator2 if 'cdp_creator2' in dir() else None)]:
|
|
if ctx_info and creator:
|
|
try:
|
|
await creator.dispose_context(ctx_info['browser_context_id'])
|
|
await creator.disconnect()
|
|
except:
|
|
pass
|
|
|
|
if managed_browser:
|
|
try:
|
|
await managed_browser.cleanup()
|
|
except:
|
|
pass
|
|
|
|
|
|
async def run_tests():
|
|
"""Run all browser_context_id tests."""
|
|
results = []
|
|
|
|
logger.info("Running browser_context_id tests", tag="SUITE")
|
|
|
|
# Basic parameter test
|
|
results.append(("browser_context_id_basic", await test_browser_context_id_basic()))
|
|
|
|
# Pre-created context usage test
|
|
results.append(("pre_created_context_usage", await test_pre_created_context_usage()))
|
|
|
|
# Note: Context isolation test is commented out because isolation is enforced
|
|
# at the CDP level by the cloud browser service, not at the Playwright level.
|
|
# When multiple BrowserManagers connect to the same browser, Playwright sees
|
|
# all contexts. In production, each worker gets exactly one pre-created context.
|
|
# results.append(("context_isolation", await test_context_isolation()))
|
|
|
|
# Print summary
|
|
total = len(results)
|
|
passed = sum(1 for _, r in results if r)
|
|
|
|
logger.info("=" * 50, tag="SUMMARY")
|
|
logger.info(f"Test Results: {passed}/{total} passed", tag="SUMMARY")
|
|
logger.info("=" * 50, tag="SUMMARY")
|
|
|
|
for name, result in results:
|
|
status = "PASSED" if result else "FAILED"
|
|
logger.info(f" {name}: {status}", tag="SUMMARY")
|
|
|
|
if passed == total:
|
|
logger.success("All tests passed!", tag="SUMMARY")
|
|
return True
|
|
else:
|
|
logger.error(f"{total - passed} tests failed", tag="SUMMARY")
|
|
return False
|
|
|
|
|
|
if __name__ == "__main__":
|
|
success = asyncio.run(run_tests())
|
|
sys.exit(0 if success else 1)
|