* 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>
774 lines
27 KiB
Python
774 lines
27 KiB
Python
"""
|
|
Test Suite: Deep Crawl Resume/Crash Recovery Tests
|
|
|
|
Tests that verify:
|
|
1. State export produces valid JSON-serializable data
|
|
2. Resume from checkpoint continues without duplicates
|
|
3. Simulated crash at various points recovers correctly
|
|
4. State callback fires at expected intervals
|
|
5. No damage to existing system behavior (regression tests)
|
|
"""
|
|
|
|
import pytest
|
|
import asyncio
|
|
import json
|
|
from typing import Dict, Any, List
|
|
from unittest.mock import AsyncMock, MagicMock
|
|
|
|
from crawl4ai.deep_crawling import (
|
|
BFSDeepCrawlStrategy,
|
|
DFSDeepCrawlStrategy,
|
|
BestFirstCrawlingStrategy,
|
|
FilterChain,
|
|
URLPatternFilter,
|
|
DomainFilter,
|
|
)
|
|
from crawl4ai.deep_crawling.scorers import KeywordRelevanceScorer
|
|
|
|
|
|
# ============================================================================
|
|
# Helper Functions for Mock Crawler
|
|
# ============================================================================
|
|
|
|
def create_mock_config(stream=False):
|
|
"""Create a mock CrawlerRunConfig."""
|
|
config = MagicMock()
|
|
config.clone = MagicMock(return_value=config)
|
|
config.stream = stream
|
|
return config
|
|
|
|
|
|
def create_mock_crawler_with_links(num_links: int = 3, include_keyword: bool = False):
|
|
"""Create mock crawler that returns results with links."""
|
|
call_count = 0
|
|
|
|
async def mock_arun_many(urls, config):
|
|
nonlocal call_count
|
|
results = []
|
|
for url in urls:
|
|
call_count += 1
|
|
result = MagicMock()
|
|
result.url = url
|
|
result.success = True
|
|
result.metadata = {}
|
|
|
|
# Generate child links
|
|
links = []
|
|
for i in range(num_links):
|
|
link_url = f"{url}/child{call_count}_{i}"
|
|
if include_keyword:
|
|
link_url = f"{url}/important-child{call_count}_{i}"
|
|
links.append({"href": link_url})
|
|
|
|
result.links = {"internal": links, "external": []}
|
|
results.append(result)
|
|
|
|
# For streaming mode, return async generator
|
|
if config.stream:
|
|
async def gen():
|
|
for r in results:
|
|
yield r
|
|
return gen()
|
|
return results
|
|
|
|
crawler = MagicMock()
|
|
crawler.arun_many = mock_arun_many
|
|
return crawler
|
|
|
|
|
|
def create_mock_crawler_tracking(crawl_order: List[str], return_no_links: bool = False):
|
|
"""Create mock crawler that tracks crawl order."""
|
|
|
|
async def mock_arun_many(urls, config):
|
|
results = []
|
|
for url in urls:
|
|
crawl_order.append(url)
|
|
result = MagicMock()
|
|
result.url = url
|
|
result.success = True
|
|
result.metadata = {}
|
|
result.links = {"internal": [], "external": []} if return_no_links else {"internal": [{"href": f"{url}/child"}], "external": []}
|
|
results.append(result)
|
|
|
|
# For streaming mode, return async generator
|
|
if config.stream:
|
|
async def gen():
|
|
for r in results:
|
|
yield r
|
|
return gen()
|
|
return results
|
|
|
|
crawler = MagicMock()
|
|
crawler.arun_many = mock_arun_many
|
|
return crawler
|
|
|
|
|
|
def create_simple_mock_crawler():
|
|
"""Basic mock crawler returning 1 result with 2 child links."""
|
|
call_count = 0
|
|
|
|
async def mock_arun_many(urls, config):
|
|
nonlocal call_count
|
|
results = []
|
|
for url in urls:
|
|
call_count += 1
|
|
result = MagicMock()
|
|
result.url = url
|
|
result.success = True
|
|
result.metadata = {}
|
|
result.links = {
|
|
"internal": [
|
|
{"href": f"{url}/child1"},
|
|
{"href": f"{url}/child2"},
|
|
],
|
|
"external": []
|
|
}
|
|
results.append(result)
|
|
|
|
if config.stream:
|
|
async def gen():
|
|
for r in results:
|
|
yield r
|
|
return gen()
|
|
return results
|
|
|
|
crawler = MagicMock()
|
|
crawler.arun_many = mock_arun_many
|
|
return crawler
|
|
|
|
|
|
def create_mock_crawler_unlimited_links():
|
|
"""Mock crawler that always returns links (for testing limits)."""
|
|
async def mock_arun_many(urls, config):
|
|
results = []
|
|
for url in urls:
|
|
result = MagicMock()
|
|
result.url = url
|
|
result.success = True
|
|
result.metadata = {}
|
|
result.links = {
|
|
"internal": [{"href": f"{url}/link{i}"} for i in range(10)],
|
|
"external": []
|
|
}
|
|
results.append(result)
|
|
|
|
if config.stream:
|
|
async def gen():
|
|
for r in results:
|
|
yield r
|
|
return gen()
|
|
return results
|
|
|
|
crawler = MagicMock()
|
|
crawler.arun_many = mock_arun_many
|
|
return crawler
|
|
|
|
|
|
# ============================================================================
|
|
# TEST SUITE 1: Crash Recovery Tests
|
|
# ============================================================================
|
|
|
|
class TestBFSResume:
|
|
"""BFS strategy resume tests."""
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_state_export_json_serializable(self):
|
|
"""Verify exported state can be JSON serialized."""
|
|
captured_states: List[Dict] = []
|
|
|
|
async def capture_state(state: Dict[str, Any]):
|
|
# Verify JSON serializable
|
|
json_str = json.dumps(state)
|
|
parsed = json.loads(json_str)
|
|
captured_states.append(parsed)
|
|
|
|
strategy = BFSDeepCrawlStrategy(
|
|
max_depth=2,
|
|
max_pages=10,
|
|
on_state_change=capture_state,
|
|
)
|
|
|
|
# Create mock crawler that returns predictable results
|
|
mock_crawler = create_mock_crawler_with_links(num_links=3)
|
|
mock_config = create_mock_config()
|
|
|
|
results = await strategy._arun_batch("https://example.com", mock_crawler, mock_config)
|
|
|
|
# Verify states were captured
|
|
assert len(captured_states) > 0
|
|
|
|
# Verify state structure
|
|
for state in captured_states:
|
|
assert state["strategy_type"] == "bfs"
|
|
assert "visited" in state
|
|
assert "pending" in state
|
|
assert "depths" in state
|
|
assert "pages_crawled" in state
|
|
assert isinstance(state["visited"], list)
|
|
assert isinstance(state["pending"], list)
|
|
assert isinstance(state["depths"], dict)
|
|
assert isinstance(state["pages_crawled"], int)
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_resume_continues_from_checkpoint(self):
|
|
"""Verify resume starts from saved state, not beginning."""
|
|
# Simulate state from previous crawl (visited 5 URLs, 3 pending)
|
|
saved_state = {
|
|
"strategy_type": "bfs",
|
|
"visited": [
|
|
"https://example.com",
|
|
"https://example.com/page1",
|
|
"https://example.com/page2",
|
|
"https://example.com/page3",
|
|
"https://example.com/page4",
|
|
],
|
|
"pending": [
|
|
{"url": "https://example.com/page5", "parent_url": "https://example.com/page2"},
|
|
{"url": "https://example.com/page6", "parent_url": "https://example.com/page3"},
|
|
{"url": "https://example.com/page7", "parent_url": "https://example.com/page3"},
|
|
],
|
|
"depths": {
|
|
"https://example.com": 0,
|
|
"https://example.com/page1": 1,
|
|
"https://example.com/page2": 1,
|
|
"https://example.com/page3": 1,
|
|
"https://example.com/page4": 1,
|
|
"https://example.com/page5": 2,
|
|
"https://example.com/page6": 2,
|
|
"https://example.com/page7": 2,
|
|
},
|
|
"pages_crawled": 5,
|
|
}
|
|
|
|
crawled_urls: List[str] = []
|
|
|
|
strategy = BFSDeepCrawlStrategy(
|
|
max_depth=2,
|
|
max_pages=20,
|
|
resume_state=saved_state,
|
|
)
|
|
|
|
# Verify internal state was restored
|
|
assert strategy._resume_state == saved_state
|
|
|
|
mock_crawler = create_mock_crawler_tracking(crawled_urls, return_no_links=True)
|
|
mock_config = create_mock_config()
|
|
|
|
await strategy._arun_batch("https://example.com", mock_crawler, mock_config)
|
|
|
|
# Should NOT re-crawl already visited URLs
|
|
for visited_url in saved_state["visited"]:
|
|
assert visited_url not in crawled_urls, f"Re-crawled already visited: {visited_url}"
|
|
|
|
# Should crawl pending URLs
|
|
for pending in saved_state["pending"]:
|
|
assert pending["url"] in crawled_urls, f"Did not crawl pending: {pending['url']}"
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_simulated_crash_mid_crawl(self):
|
|
"""Simulate crash at URL N, verify resume continues from pending URLs."""
|
|
crash_after = 3
|
|
states_before_crash: List[Dict] = []
|
|
|
|
async def capture_until_crash(state: Dict[str, Any]):
|
|
states_before_crash.append(state)
|
|
if state["pages_crawled"] >= crash_after:
|
|
raise Exception("Simulated crash!")
|
|
|
|
strategy1 = BFSDeepCrawlStrategy(
|
|
max_depth=2,
|
|
max_pages=10,
|
|
on_state_change=capture_until_crash,
|
|
)
|
|
|
|
mock_crawler = create_mock_crawler_with_links(num_links=5)
|
|
mock_config = create_mock_config()
|
|
|
|
# First crawl - crashes
|
|
with pytest.raises(Exception, match="Simulated crash"):
|
|
await strategy1._arun_batch("https://example.com", mock_crawler, mock_config)
|
|
|
|
# Get last state before crash
|
|
last_state = states_before_crash[-1]
|
|
assert last_state["pages_crawled"] >= crash_after
|
|
|
|
# Calculate which URLs were already crawled vs pending
|
|
pending_urls = {item["url"] for item in last_state["pending"]}
|
|
visited_urls = set(last_state["visited"])
|
|
already_crawled_urls = visited_urls - pending_urls
|
|
|
|
# Resume from checkpoint
|
|
crawled_in_resume: List[str] = []
|
|
|
|
strategy2 = BFSDeepCrawlStrategy(
|
|
max_depth=2,
|
|
max_pages=10,
|
|
resume_state=last_state,
|
|
)
|
|
|
|
mock_crawler2 = create_mock_crawler_tracking(crawled_in_resume, return_no_links=True)
|
|
|
|
await strategy2._arun_batch("https://example.com", mock_crawler2, mock_config)
|
|
|
|
# Verify already-crawled URLs are not re-crawled
|
|
for crawled_url in already_crawled_urls:
|
|
assert crawled_url not in crawled_in_resume, f"Re-crawled already visited: {crawled_url}"
|
|
|
|
# Verify pending URLs are crawled
|
|
for pending_url in pending_urls:
|
|
assert pending_url in crawled_in_resume, f"Did not crawl pending: {pending_url}"
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_callback_fires_per_url(self):
|
|
"""Verify callback fires after each URL for maximum granularity."""
|
|
callback_count = 0
|
|
pages_crawled_sequence: List[int] = []
|
|
|
|
async def count_callbacks(state: Dict[str, Any]):
|
|
nonlocal callback_count
|
|
callback_count += 1
|
|
pages_crawled_sequence.append(state["pages_crawled"])
|
|
|
|
strategy = BFSDeepCrawlStrategy(
|
|
max_depth=1,
|
|
max_pages=5,
|
|
on_state_change=count_callbacks,
|
|
)
|
|
|
|
mock_crawler = create_mock_crawler_with_links(num_links=2)
|
|
mock_config = create_mock_config()
|
|
|
|
await strategy._arun_batch("https://example.com", mock_crawler, mock_config)
|
|
|
|
# Callback should fire once per successful URL
|
|
assert callback_count == strategy._pages_crawled, \
|
|
f"Callback fired {callback_count} times, expected {strategy._pages_crawled} (per URL)"
|
|
|
|
# pages_crawled should increment by 1 each callback
|
|
for i, count in enumerate(pages_crawled_sequence):
|
|
assert count == i + 1, f"Expected pages_crawled={i+1} at callback {i}, got {count}"
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_export_state_returns_last_captured(self):
|
|
"""Verify export_state() returns last captured state."""
|
|
last_state = None
|
|
|
|
async def capture(state):
|
|
nonlocal last_state
|
|
last_state = state
|
|
|
|
strategy = BFSDeepCrawlStrategy(max_depth=2, max_pages=5, on_state_change=capture)
|
|
|
|
mock_crawler = create_mock_crawler_with_links(num_links=2)
|
|
mock_config = create_mock_config()
|
|
|
|
await strategy._arun_batch("https://example.com", mock_crawler, mock_config)
|
|
|
|
exported = strategy.export_state()
|
|
assert exported == last_state
|
|
|
|
|
|
class TestDFSResume:
|
|
"""DFS strategy resume tests."""
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_state_export_includes_stack_and_dfs_seen(self):
|
|
"""Verify DFS state includes stack structure and _dfs_seen."""
|
|
captured_states: List[Dict] = []
|
|
|
|
async def capture_state(state: Dict[str, Any]):
|
|
captured_states.append(state)
|
|
|
|
strategy = DFSDeepCrawlStrategy(
|
|
max_depth=3,
|
|
max_pages=10,
|
|
on_state_change=capture_state,
|
|
)
|
|
|
|
mock_crawler = create_mock_crawler_with_links(num_links=2)
|
|
mock_config = create_mock_config()
|
|
|
|
await strategy._arun_batch("https://example.com", mock_crawler, mock_config)
|
|
|
|
assert len(captured_states) > 0
|
|
|
|
for state in captured_states:
|
|
assert state["strategy_type"] == "dfs"
|
|
assert "stack" in state
|
|
assert "dfs_seen" in state
|
|
# Stack items should have depth
|
|
for item in state["stack"]:
|
|
assert "url" in item
|
|
assert "parent_url" in item
|
|
assert "depth" in item
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_resume_restores_stack_order(self):
|
|
"""Verify DFS stack order is preserved on resume."""
|
|
saved_state = {
|
|
"strategy_type": "dfs",
|
|
"visited": ["https://example.com"],
|
|
"stack": [
|
|
{"url": "https://example.com/deep3", "parent_url": "https://example.com/deep2", "depth": 3},
|
|
{"url": "https://example.com/deep2", "parent_url": "https://example.com/deep1", "depth": 2},
|
|
{"url": "https://example.com/page1", "parent_url": "https://example.com", "depth": 1},
|
|
],
|
|
"depths": {"https://example.com": 0},
|
|
"pages_crawled": 1,
|
|
"dfs_seen": ["https://example.com", "https://example.com/deep3", "https://example.com/deep2", "https://example.com/page1"],
|
|
}
|
|
|
|
crawl_order: List[str] = []
|
|
|
|
strategy = DFSDeepCrawlStrategy(
|
|
max_depth=3,
|
|
max_pages=10,
|
|
resume_state=saved_state,
|
|
)
|
|
|
|
mock_crawler = create_mock_crawler_tracking(crawl_order, return_no_links=True)
|
|
mock_config = create_mock_config()
|
|
|
|
await strategy._arun_batch("https://example.com", mock_crawler, mock_config)
|
|
|
|
# DFS pops from end of stack, so order should be: page1, deep2, deep3
|
|
assert crawl_order[0] == "https://example.com/page1"
|
|
assert crawl_order[1] == "https://example.com/deep2"
|
|
assert crawl_order[2] == "https://example.com/deep3"
|
|
|
|
|
|
class TestBestFirstResume:
|
|
"""Best-First strategy resume tests."""
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_state_export_includes_scored_queue(self):
|
|
"""Verify Best-First state includes queue with scores."""
|
|
captured_states: List[Dict] = []
|
|
|
|
async def capture_state(state: Dict[str, Any]):
|
|
captured_states.append(state)
|
|
|
|
scorer = KeywordRelevanceScorer(keywords=["important"], weight=1.0)
|
|
|
|
strategy = BestFirstCrawlingStrategy(
|
|
max_depth=2,
|
|
max_pages=10,
|
|
url_scorer=scorer,
|
|
on_state_change=capture_state,
|
|
)
|
|
|
|
mock_crawler = create_mock_crawler_with_links(num_links=3, include_keyword=True)
|
|
mock_config = create_mock_config(stream=True)
|
|
|
|
async for _ in strategy._arun_stream("https://example.com", mock_crawler, mock_config):
|
|
pass
|
|
|
|
assert len(captured_states) > 0
|
|
|
|
for state in captured_states:
|
|
assert state["strategy_type"] == "best_first"
|
|
assert "queue_items" in state
|
|
for item in state["queue_items"]:
|
|
assert "score" in item
|
|
assert "depth" in item
|
|
assert "url" in item
|
|
assert "parent_url" in item
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_resume_maintains_priority_order(self):
|
|
"""Verify priority queue order is maintained on resume."""
|
|
saved_state = {
|
|
"strategy_type": "best_first",
|
|
"visited": ["https://example.com"],
|
|
"queue_items": [
|
|
{"score": -0.9, "depth": 1, "url": "https://example.com/high-priority", "parent_url": "https://example.com"},
|
|
{"score": -0.5, "depth": 1, "url": "https://example.com/medium-priority", "parent_url": "https://example.com"},
|
|
{"score": -0.1, "depth": 1, "url": "https://example.com/low-priority", "parent_url": "https://example.com"},
|
|
],
|
|
"depths": {"https://example.com": 0},
|
|
"pages_crawled": 1,
|
|
}
|
|
|
|
crawl_order: List[str] = []
|
|
|
|
strategy = BestFirstCrawlingStrategy(
|
|
max_depth=2,
|
|
max_pages=10,
|
|
resume_state=saved_state,
|
|
)
|
|
|
|
mock_crawler = create_mock_crawler_tracking(crawl_order, return_no_links=True)
|
|
mock_config = create_mock_config(stream=True)
|
|
|
|
async for _ in strategy._arun_stream("https://example.com", mock_crawler, mock_config):
|
|
pass
|
|
|
|
# Higher negative score = higher priority (min-heap)
|
|
# So -0.9 should be crawled first
|
|
assert crawl_order[0] == "https://example.com/high-priority"
|
|
|
|
|
|
class TestCrossStrategyResume:
|
|
"""Tests that apply to all strategies."""
|
|
|
|
@pytest.mark.asyncio
|
|
@pytest.mark.parametrize("strategy_class,strategy_type", [
|
|
(BFSDeepCrawlStrategy, "bfs"),
|
|
(DFSDeepCrawlStrategy, "dfs"),
|
|
(BestFirstCrawlingStrategy, "best_first"),
|
|
])
|
|
async def test_no_callback_means_no_overhead(self, strategy_class, strategy_type):
|
|
"""Verify no state tracking when callback is None."""
|
|
strategy = strategy_class(max_depth=2, max_pages=5)
|
|
|
|
# _queue_shadow should be None for Best-First when no callback
|
|
if strategy_class == BestFirstCrawlingStrategy:
|
|
assert strategy._queue_shadow is None
|
|
|
|
# _last_state should be None initially
|
|
assert strategy._last_state is None
|
|
|
|
@pytest.mark.asyncio
|
|
@pytest.mark.parametrize("strategy_class", [
|
|
BFSDeepCrawlStrategy,
|
|
DFSDeepCrawlStrategy,
|
|
BestFirstCrawlingStrategy,
|
|
])
|
|
async def test_export_state_returns_last_captured(self, strategy_class):
|
|
"""Verify export_state() returns last captured state."""
|
|
last_state = None
|
|
|
|
async def capture(state):
|
|
nonlocal last_state
|
|
last_state = state
|
|
|
|
strategy = strategy_class(max_depth=2, max_pages=5, on_state_change=capture)
|
|
|
|
mock_crawler = create_mock_crawler_with_links(num_links=2)
|
|
|
|
if strategy_class == BestFirstCrawlingStrategy:
|
|
mock_config = create_mock_config(stream=True)
|
|
async for _ in strategy._arun_stream("https://example.com", mock_crawler, mock_config):
|
|
pass
|
|
else:
|
|
mock_config = create_mock_config()
|
|
await strategy._arun_batch("https://example.com", mock_crawler, mock_config)
|
|
|
|
exported = strategy.export_state()
|
|
assert exported == last_state
|
|
|
|
|
|
# ============================================================================
|
|
# TEST SUITE 2: Regression Tests (No Damage to Current System)
|
|
# ============================================================================
|
|
|
|
class TestBFSRegressions:
|
|
"""Ensure BFS works identically when new params not used."""
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_default_params_unchanged(self):
|
|
"""Constructor with only original params works."""
|
|
strategy = BFSDeepCrawlStrategy(
|
|
max_depth=2,
|
|
include_external=False,
|
|
max_pages=10,
|
|
)
|
|
|
|
assert strategy.max_depth == 2
|
|
assert strategy.include_external == False
|
|
assert strategy.max_pages == 10
|
|
assert strategy._resume_state is None
|
|
assert strategy._on_state_change is None
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_filter_chain_still_works(self):
|
|
"""FilterChain integration unchanged."""
|
|
filter_chain = FilterChain([
|
|
URLPatternFilter(patterns=["*/blog/*"]),
|
|
DomainFilter(allowed_domains=["example.com"]),
|
|
])
|
|
|
|
strategy = BFSDeepCrawlStrategy(
|
|
max_depth=2,
|
|
filter_chain=filter_chain,
|
|
)
|
|
|
|
# Test filter still applies
|
|
assert await strategy.can_process_url("https://example.com/blog/post1", 1) == True
|
|
assert await strategy.can_process_url("https://other.com/blog/post1", 1) == False
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_url_scorer_still_works(self):
|
|
"""URL scoring integration unchanged."""
|
|
scorer = KeywordRelevanceScorer(keywords=["python", "tutorial"], weight=1.0)
|
|
|
|
strategy = BFSDeepCrawlStrategy(
|
|
max_depth=2,
|
|
url_scorer=scorer,
|
|
score_threshold=0.5,
|
|
)
|
|
|
|
assert strategy.url_scorer is not None
|
|
assert strategy.score_threshold == 0.5
|
|
|
|
# Scorer should work
|
|
score = scorer.score("https://example.com/python-tutorial")
|
|
assert score > 0
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_batch_mode_returns_list(self):
|
|
"""Batch mode still returns List[CrawlResult]."""
|
|
strategy = BFSDeepCrawlStrategy(max_depth=1, max_pages=5)
|
|
|
|
mock_crawler = create_simple_mock_crawler()
|
|
mock_config = create_mock_config(stream=False)
|
|
|
|
results = await strategy._arun_batch("https://example.com", mock_crawler, mock_config)
|
|
|
|
assert isinstance(results, list)
|
|
assert len(results) > 0
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_max_pages_limit_respected(self):
|
|
"""max_pages limit still enforced."""
|
|
strategy = BFSDeepCrawlStrategy(max_depth=10, max_pages=3)
|
|
|
|
mock_crawler = create_mock_crawler_unlimited_links()
|
|
mock_config = create_mock_config()
|
|
|
|
results = await strategy._arun_batch("https://example.com", mock_crawler, mock_config)
|
|
|
|
# Should stop at max_pages
|
|
assert strategy._pages_crawled <= 3
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_max_depth_limit_respected(self):
|
|
"""max_depth limit still enforced."""
|
|
strategy = BFSDeepCrawlStrategy(max_depth=2, max_pages=100)
|
|
|
|
mock_crawler = create_mock_crawler_unlimited_links()
|
|
mock_config = create_mock_config()
|
|
|
|
results = await strategy._arun_batch("https://example.com", mock_crawler, mock_config)
|
|
|
|
# All results should have depth <= max_depth
|
|
for result in results:
|
|
assert result.metadata.get("depth", 0) <= 2
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_metadata_depth_still_set(self):
|
|
"""Result metadata still includes depth."""
|
|
strategy = BFSDeepCrawlStrategy(max_depth=2, max_pages=5)
|
|
|
|
mock_crawler = create_simple_mock_crawler()
|
|
mock_config = create_mock_config()
|
|
|
|
results = await strategy._arun_batch("https://example.com", mock_crawler, mock_config)
|
|
|
|
for result in results:
|
|
assert "depth" in result.metadata
|
|
assert isinstance(result.metadata["depth"], int)
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_metadata_parent_url_still_set(self):
|
|
"""Result metadata still includes parent_url."""
|
|
strategy = BFSDeepCrawlStrategy(max_depth=2, max_pages=5)
|
|
|
|
mock_crawler = create_simple_mock_crawler()
|
|
mock_config = create_mock_config()
|
|
|
|
results = await strategy._arun_batch("https://example.com", mock_crawler, mock_config)
|
|
|
|
# First result (start URL) should have parent_url = None
|
|
assert results[0].metadata.get("parent_url") is None
|
|
|
|
# Child results should have parent_url set
|
|
for result in results[1:]:
|
|
assert "parent_url" in result.metadata
|
|
|
|
|
|
class TestDFSRegressions:
|
|
"""Ensure DFS works identically when new params not used."""
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_inherits_bfs_params(self):
|
|
"""DFS still inherits all BFS parameters."""
|
|
strategy = DFSDeepCrawlStrategy(
|
|
max_depth=3,
|
|
include_external=True,
|
|
max_pages=20,
|
|
score_threshold=0.5,
|
|
)
|
|
|
|
assert strategy.max_depth == 3
|
|
assert strategy.include_external == True
|
|
assert strategy.max_pages == 20
|
|
assert strategy.score_threshold == 0.5
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_dfs_seen_initialized(self):
|
|
"""DFS _dfs_seen set still initialized."""
|
|
strategy = DFSDeepCrawlStrategy(max_depth=2)
|
|
|
|
assert hasattr(strategy, '_dfs_seen')
|
|
assert isinstance(strategy._dfs_seen, set)
|
|
|
|
|
|
class TestBestFirstRegressions:
|
|
"""Ensure Best-First works identically when new params not used."""
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_default_params_unchanged(self):
|
|
"""Constructor with only original params works."""
|
|
strategy = BestFirstCrawlingStrategy(
|
|
max_depth=2,
|
|
include_external=False,
|
|
max_pages=10,
|
|
)
|
|
|
|
assert strategy.max_depth == 2
|
|
assert strategy.include_external == False
|
|
assert strategy.max_pages == 10
|
|
assert strategy._resume_state is None
|
|
assert strategy._on_state_change is None
|
|
assert strategy._queue_shadow is None # Not initialized without callback
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_scorer_integration(self):
|
|
"""URL scorer still affects crawl priority."""
|
|
scorer = KeywordRelevanceScorer(keywords=["important"], weight=1.0)
|
|
|
|
strategy = BestFirstCrawlingStrategy(
|
|
max_depth=2,
|
|
max_pages=10,
|
|
url_scorer=scorer,
|
|
)
|
|
|
|
assert strategy.url_scorer is scorer
|
|
|
|
|
|
class TestAPICompatibility:
|
|
"""Ensure API/serialization compatibility."""
|
|
|
|
def test_strategy_signature_backward_compatible(self):
|
|
"""Old code calling with positional/keyword args still works."""
|
|
# Positional args (old style)
|
|
s1 = BFSDeepCrawlStrategy(2)
|
|
assert s1.max_depth == 2
|
|
|
|
# Keyword args (old style)
|
|
s2 = BFSDeepCrawlStrategy(max_depth=3, max_pages=10)
|
|
assert s2.max_depth == 3
|
|
|
|
# Mixed (old style)
|
|
s3 = BFSDeepCrawlStrategy(2, FilterChain(), None, False, float('-inf'), 100)
|
|
assert s3.max_depth == 2
|
|
assert s3.max_pages == 100
|
|
|
|
def test_no_required_new_params(self):
|
|
"""New params are optional, not required."""
|
|
# Should not raise
|
|
BFSDeepCrawlStrategy(max_depth=2)
|
|
DFSDeepCrawlStrategy(max_depth=2)
|
|
BestFirstCrawlingStrategy(max_depth=2)
|