* 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>
512 lines
19 KiB
Python
512 lines
19 KiB
Python
"""
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Hook Manager for User-Provided Hook Functions
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Handles validation, compilation, and safe execution of user-provided hook code
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"""
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import ast
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import asyncio
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import traceback
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from typing import Dict, Callable, Optional, Tuple, List, Any
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import logging
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logger = logging.getLogger(__name__)
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class UserHookManager:
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"""Manages user-provided hook functions with error isolation"""
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# Expected signatures for each hook point
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HOOK_SIGNATURES = {
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"on_browser_created": ["browser"],
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"on_page_context_created": ["page", "context"],
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"before_goto": ["page", "context", "url"],
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"after_goto": ["page", "context", "url", "response"],
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"on_user_agent_updated": ["page", "context", "user_agent"],
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"on_execution_started": ["page", "context"],
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"before_retrieve_html": ["page", "context"],
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"before_return_html": ["page", "context", "html"]
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}
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# Default timeout for hook execution (in seconds)
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DEFAULT_TIMEOUT = 30
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def __init__(self, timeout: int = DEFAULT_TIMEOUT):
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self.timeout = timeout
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self.errors: List[Dict[str, Any]] = []
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self.compiled_hooks: Dict[str, Callable] = {}
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self.execution_log: List[Dict[str, Any]] = []
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def validate_hook_structure(self, hook_code: str, hook_point: str) -> Tuple[bool, str]:
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"""
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Validate the structure of user-provided hook code
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Args:
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hook_code: The Python code string containing the hook function
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hook_point: The hook point name (e.g., 'on_page_context_created')
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Returns:
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Tuple of (is_valid, error_message)
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"""
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try:
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# Parse the code
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tree = ast.parse(hook_code)
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# Check if it's empty
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if not tree.body:
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return False, "Hook code is empty"
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# Find the function definition
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func_def = None
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for node in tree.body:
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if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef)):
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func_def = node
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break
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if not func_def:
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return False, "Hook must contain a function definition (def or async def)"
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# Check if it's async (all hooks should be async)
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if not isinstance(func_def, ast.AsyncFunctionDef):
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return False, f"Hook function must be async (use 'async def' instead of 'def')"
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# Get function name for better error messages
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func_name = func_def.name
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# Validate parameters
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expected_params = self.HOOK_SIGNATURES.get(hook_point, [])
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if not expected_params:
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return False, f"Unknown hook point: {hook_point}"
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func_params = [arg.arg for arg in func_def.args.args]
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# Check if it has **kwargs for flexibility
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has_kwargs = func_def.args.kwarg is not None
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# Must have at least the expected parameters
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missing_params = []
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for expected in expected_params:
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if expected not in func_params:
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missing_params.append(expected)
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if missing_params and not has_kwargs:
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return False, f"Hook function '{func_name}' must accept parameters: {', '.join(expected_params)} (missing: {', '.join(missing_params)})"
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# Check if it returns something (should return page or browser)
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has_return = any(isinstance(node, ast.Return) for node in ast.walk(func_def))
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if not has_return:
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# Warning, not error - we'll handle this
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logger.warning(f"Hook function '{func_name}' should return the {expected_params[0]} object")
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return True, "Valid"
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except SyntaxError as e:
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return False, f"Syntax error at line {e.lineno}: {str(e)}"
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except Exception as e:
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return False, f"Failed to parse hook code: {str(e)}"
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def compile_hook(self, hook_code: str, hook_point: str) -> Optional[Callable]:
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"""
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Compile user-provided hook code into a callable function
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Args:
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hook_code: The Python code string
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hook_point: The hook point name
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Returns:
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Compiled function or None if compilation failed
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"""
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try:
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# Create a safe namespace for the hook
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# SECURITY: No __import__ to prevent arbitrary module imports (RCE risk)
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import builtins
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safe_builtins = {}
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# Add safe built-in functions (no __import__ for security)
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allowed_builtins = [
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'print', 'len', 'str', 'int', 'float', 'bool',
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'list', 'dict', 'set', 'tuple', 'range', 'enumerate',
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'zip', 'map', 'filter', 'any', 'all', 'sum', 'min', 'max',
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'sorted', 'reversed', 'abs', 'round', 'isinstance', 'type',
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'getattr', 'hasattr', 'setattr', 'callable', 'iter', 'next',
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'__build_class__' # Required for class definitions in exec
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]
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for name in allowed_builtins:
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if hasattr(builtins, name):
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safe_builtins[name] = getattr(builtins, name)
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namespace = {
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'__name__': f'user_hook_{hook_point}',
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'__builtins__': safe_builtins
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}
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# Add commonly needed imports
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exec("import asyncio", namespace)
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exec("import json", namespace)
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exec("import re", namespace)
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exec("from typing import Dict, List, Optional", namespace)
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# Execute the code to define the function
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exec(hook_code, namespace)
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# Find the async function in the namespace
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for name, obj in namespace.items():
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if callable(obj) and not name.startswith('_') and asyncio.iscoroutinefunction(obj):
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return obj
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# If no async function found, look for any function
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for name, obj in namespace.items():
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if callable(obj) and not name.startswith('_'):
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logger.warning(f"Found non-async function '{name}' - wrapping it")
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# Wrap sync function in async
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async def async_wrapper(*args, **kwargs):
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return obj(*args, **kwargs)
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return async_wrapper
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raise ValueError("No callable function found in hook code")
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except Exception as e:
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error = {
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'hook_point': hook_point,
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'error': f"Failed to compile hook: {str(e)}",
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'type': 'compilation_error',
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'traceback': traceback.format_exc()
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}
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self.errors.append(error)
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logger.error(f"Hook compilation failed for {hook_point}: {str(e)}")
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return None
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async def execute_hook_safely(
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self,
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hook_func: Callable,
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hook_point: str,
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*args,
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**kwargs
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) -> Tuple[Any, Optional[Dict]]:
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"""
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Execute a user hook with error isolation and timeout
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Args:
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hook_func: The compiled hook function
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hook_point: The hook point name
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*args, **kwargs: Arguments to pass to the hook
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Returns:
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Tuple of (result, error_dict)
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"""
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start_time = asyncio.get_event_loop().time()
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try:
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# Add timeout to prevent infinite loops
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result = await asyncio.wait_for(
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hook_func(*args, **kwargs),
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timeout=self.timeout
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)
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# Log successful execution
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execution_time = asyncio.get_event_loop().time() - start_time
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self.execution_log.append({
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'hook_point': hook_point,
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'status': 'success',
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'execution_time': execution_time,
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'timestamp': start_time
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})
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return result, None
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except asyncio.TimeoutError:
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error = {
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'hook_point': hook_point,
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'error': f'Hook execution timed out ({self.timeout}s limit)',
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'type': 'timeout',
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'execution_time': self.timeout
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}
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self.errors.append(error)
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self.execution_log.append({
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'hook_point': hook_point,
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'status': 'timeout',
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'error': error['error'],
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'execution_time': self.timeout,
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'timestamp': start_time
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})
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# Return the first argument (usually page/browser) to continue
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return args[0] if args else None, error
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except Exception as e:
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execution_time = asyncio.get_event_loop().time() - start_time
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error = {
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'hook_point': hook_point,
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'error': str(e),
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'type': type(e).__name__,
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'traceback': traceback.format_exc(),
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'execution_time': execution_time
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}
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self.errors.append(error)
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self.execution_log.append({
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'hook_point': hook_point,
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'status': 'failed',
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'error': str(e),
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'error_type': type(e).__name__,
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'execution_time': execution_time,
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'timestamp': start_time
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})
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# Return the first argument (usually page/browser) to continue
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return args[0] if args else None, error
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def get_summary(self) -> Dict[str, Any]:
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"""Get a summary of hook execution"""
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total_hooks = len(self.execution_log)
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successful = sum(1 for log in self.execution_log if log['status'] == 'success')
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failed = sum(1 for log in self.execution_log if log['status'] == 'failed')
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timed_out = sum(1 for log in self.execution_log if log['status'] == 'timeout')
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return {
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'total_executions': total_hooks,
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'successful': successful,
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'failed': failed,
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'timed_out': timed_out,
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'success_rate': (successful / total_hooks * 100) if total_hooks > 0 else 0,
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'total_errors': len(self.errors)
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}
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class IsolatedHookWrapper:
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"""Wraps user hooks with error isolation and reporting"""
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def __init__(self, hook_manager: UserHookManager):
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self.hook_manager = hook_manager
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def create_hook_wrapper(self, user_hook: Callable, hook_point: str) -> Callable:
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"""
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Create a wrapper that isolates hook errors from main process
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Args:
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user_hook: The compiled user hook function
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hook_point: The hook point name
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Returns:
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Wrapped async function that handles errors gracefully
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"""
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async def wrapped_hook(*args, **kwargs):
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"""Wrapped hook with error isolation"""
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# Get the main return object (page/browser)
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# This ensures we always have something to return
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return_obj = None
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if args:
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return_obj = args[0]
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elif 'page' in kwargs:
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return_obj = kwargs['page']
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elif 'browser' in kwargs:
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return_obj = kwargs['browser']
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try:
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# Execute user hook with safety
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result, error = await self.hook_manager.execute_hook_safely(
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user_hook,
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hook_point,
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*args,
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**kwargs
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)
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if error:
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# Hook failed but we continue with original object
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logger.warning(f"User hook failed at {hook_point}: {error['error']}")
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return return_obj
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# Hook succeeded - return its result or the original object
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if result is None:
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logger.debug(f"Hook at {hook_point} returned None, using original object")
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return return_obj
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return result
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except Exception as e:
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# This should rarely happen due to execute_hook_safely
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logger.error(f"Unexpected error in hook wrapper for {hook_point}: {e}")
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return return_obj
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# Set function name for debugging
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wrapped_hook.__name__ = f"wrapped_{hook_point}"
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return wrapped_hook
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|
async def process_user_hooks(
|
|
hooks_input: Dict[str, str],
|
|
timeout: int = 30
|
|
) -> Tuple[Dict[str, Callable], List[Dict], UserHookManager]:
|
|
"""
|
|
Process and compile user-provided hook functions
|
|
|
|
Args:
|
|
hooks_input: Dictionary mapping hook points to code strings
|
|
timeout: Timeout for each hook execution
|
|
|
|
Returns:
|
|
Tuple of (compiled_hooks, validation_errors, hook_manager)
|
|
"""
|
|
|
|
hook_manager = UserHookManager(timeout=timeout)
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|
wrapper = IsolatedHookWrapper(hook_manager)
|
|
compiled_hooks = {}
|
|
validation_errors = []
|
|
|
|
for hook_point, hook_code in hooks_input.items():
|
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# Skip empty hooks
|
|
if not hook_code or not hook_code.strip():
|
|
continue
|
|
|
|
# Validate hook point
|
|
if hook_point not in UserHookManager.HOOK_SIGNATURES:
|
|
validation_errors.append({
|
|
'hook_point': hook_point,
|
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'error': f'Unknown hook point. Valid points: {", ".join(UserHookManager.HOOK_SIGNATURES.keys())}',
|
|
'code_preview': hook_code[:100] + '...' if len(hook_code) > 100 else hook_code
|
|
})
|
|
continue
|
|
|
|
# Validate structure
|
|
is_valid, message = hook_manager.validate_hook_structure(hook_code, hook_point)
|
|
if not is_valid:
|
|
validation_errors.append({
|
|
'hook_point': hook_point,
|
|
'error': message,
|
|
'code_preview': hook_code[:100] + '...' if len(hook_code) > 100 else hook_code
|
|
})
|
|
continue
|
|
|
|
# Compile the hook
|
|
hook_func = hook_manager.compile_hook(hook_code, hook_point)
|
|
if hook_func:
|
|
# Wrap with error isolation
|
|
wrapped_hook = wrapper.create_hook_wrapper(hook_func, hook_point)
|
|
compiled_hooks[hook_point] = wrapped_hook
|
|
logger.info(f"Successfully compiled hook for {hook_point}")
|
|
else:
|
|
validation_errors.append({
|
|
'hook_point': hook_point,
|
|
'error': 'Failed to compile hook function - check syntax and structure',
|
|
'code_preview': hook_code[:100] + '...' if len(hook_code) > 100 else hook_code
|
|
})
|
|
|
|
return compiled_hooks, validation_errors, hook_manager
|
|
|
|
|
|
async def process_user_hooks_with_manager(
|
|
hooks_input: Dict[str, str],
|
|
hook_manager: UserHookManager
|
|
) -> Tuple[Dict[str, Callable], List[Dict]]:
|
|
"""
|
|
Process and compile user-provided hook functions with existing manager
|
|
|
|
Args:
|
|
hooks_input: Dictionary mapping hook points to code strings
|
|
hook_manager: Existing UserHookManager instance
|
|
|
|
Returns:
|
|
Tuple of (compiled_hooks, validation_errors)
|
|
"""
|
|
|
|
wrapper = IsolatedHookWrapper(hook_manager)
|
|
compiled_hooks = {}
|
|
validation_errors = []
|
|
|
|
for hook_point, hook_code in hooks_input.items():
|
|
# Skip empty hooks
|
|
if not hook_code or not hook_code.strip():
|
|
continue
|
|
|
|
# Validate hook point
|
|
if hook_point not in UserHookManager.HOOK_SIGNATURES:
|
|
validation_errors.append({
|
|
'hook_point': hook_point,
|
|
'error': f'Unknown hook point. Valid points: {", ".join(UserHookManager.HOOK_SIGNATURES.keys())}',
|
|
'code_preview': hook_code[:100] + '...' if len(hook_code) > 100 else hook_code
|
|
})
|
|
continue
|
|
|
|
# Validate structure
|
|
is_valid, message = hook_manager.validate_hook_structure(hook_code, hook_point)
|
|
if not is_valid:
|
|
validation_errors.append({
|
|
'hook_point': hook_point,
|
|
'error': message,
|
|
'code_preview': hook_code[:100] + '...' if len(hook_code) > 100 else hook_code
|
|
})
|
|
continue
|
|
|
|
# Compile the hook
|
|
hook_func = hook_manager.compile_hook(hook_code, hook_point)
|
|
if hook_func:
|
|
# Wrap with error isolation
|
|
wrapped_hook = wrapper.create_hook_wrapper(hook_func, hook_point)
|
|
compiled_hooks[hook_point] = wrapped_hook
|
|
logger.info(f"Successfully compiled hook for {hook_point}")
|
|
else:
|
|
validation_errors.append({
|
|
'hook_point': hook_point,
|
|
'error': 'Failed to compile hook function - check syntax and structure',
|
|
'code_preview': hook_code[:100] + '...' if len(hook_code) > 100 else hook_code
|
|
})
|
|
|
|
return compiled_hooks, validation_errors
|
|
|
|
|
|
async def attach_user_hooks_to_crawler(
|
|
crawler, # AsyncWebCrawler instance
|
|
user_hooks: Dict[str, str],
|
|
timeout: int = 30,
|
|
hook_manager: Optional[UserHookManager] = None
|
|
) -> Tuple[Dict[str, Any], UserHookManager]:
|
|
"""
|
|
Attach user-provided hooks to crawler with full error reporting
|
|
|
|
Args:
|
|
crawler: AsyncWebCrawler instance
|
|
user_hooks: Dictionary mapping hook points to code strings
|
|
timeout: Timeout for each hook execution
|
|
hook_manager: Optional existing UserHookManager instance
|
|
|
|
Returns:
|
|
Tuple of (status_dict, hook_manager)
|
|
"""
|
|
|
|
# Use provided hook_manager or create a new one
|
|
if hook_manager is None:
|
|
hook_manager = UserHookManager(timeout=timeout)
|
|
|
|
# Process hooks with the hook_manager
|
|
compiled_hooks, validation_errors = await process_user_hooks_with_manager(
|
|
user_hooks, hook_manager
|
|
)
|
|
|
|
# Log validation errors
|
|
if validation_errors:
|
|
logger.warning(f"Hook validation errors: {validation_errors}")
|
|
|
|
# Attach successfully compiled hooks
|
|
attached_hooks = []
|
|
for hook_point, wrapped_hook in compiled_hooks.items():
|
|
try:
|
|
crawler.crawler_strategy.set_hook(hook_point, wrapped_hook)
|
|
attached_hooks.append(hook_point)
|
|
logger.info(f"Attached hook to {hook_point}")
|
|
except Exception as e:
|
|
logger.error(f"Failed to attach hook to {hook_point}: {e}")
|
|
validation_errors.append({
|
|
'hook_point': hook_point,
|
|
'error': f'Failed to attach hook: {str(e)}'
|
|
})
|
|
|
|
status = 'success' if not validation_errors else ('partial' if attached_hooks else 'failed')
|
|
|
|
status_dict = {
|
|
'status': status,
|
|
'attached_hooks': attached_hooks,
|
|
'validation_errors': validation_errors,
|
|
'total_hooks_provided': len(user_hooks),
|
|
'successfully_attached': len(attached_hooks),
|
|
'failed_validation': len(validation_errors)
|
|
}
|
|
|
|
return status_dict, hook_manager |