Release/v0.7.6 (#1556)
* fix(docker-api): migrate to modern datetime library API
Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
* Fix examples in README.md
* feat(docker): add user-provided hooks support to Docker API
Implements comprehensive hooks functionality allowing users to provide custom Python
functions as strings that execute at specific points in the crawling pipeline.
Key Features:
- Support for all 8 crawl4ai hook points:
• on_browser_created: Initialize browser settings
• on_page_context_created: Configure page context
• before_goto: Pre-navigation setup
• after_goto: Post-navigation processing
• on_user_agent_updated: User agent modification handling
• on_execution_started: Crawl execution initialization
• before_retrieve_html: Pre-extraction processing
• before_return_html: Final HTML processing
Implementation Details:
- Created UserHookManager for validation, compilation, and safe execution
- Added IsolatedHookWrapper for error isolation and timeout protection
- AST-based validation ensures code structure correctness
- Sandboxed execution with restricted builtins for security
- Configurable timeout (1-120 seconds) prevents infinite loops
- Comprehensive error handling ensures hooks don't crash main process
- Execution tracking with detailed statistics and logging
API Changes:
- Added HookConfig schema with code and timeout fields
- Extended CrawlRequest with optional hooks parameter
- Added /hooks/info endpoint for hook discovery
- Updated /crawl and /crawl/stream endpoints to support hooks
Safety Features:
- Malformed hooks return clear validation errors
- Hook errors are isolated and reported without stopping crawl
- Execution statistics track success/failure/timeout rates
- All hook results are JSON-serializable
Testing:
- Comprehensive test suite covering all 8 hooks
- Error handling and timeout scenarios validated
- Authentication, performance, and content extraction examples
- 100% success rate in production testing
Documentation:
- Added extensive hooks section to docker-deployment.md
- Security warnings about user-provided code risks
- Real-world examples using httpbin.org, GitHub, BBC
- Best practices and troubleshooting guide
ref #1377
* fix(deep-crawl): BestFirst priority inversion; remove pre-scoring truncation. ref #1253
Use negative scores in PQ to visit high-score URLs first and drop link cap prior to scoring; add test for ordering.
* docs: Update URL seeding examples to use proper async context managers
- Wrap all AsyncUrlSeeder usage with async context managers
- Update URL seeding adventure example to use "sitemap+cc" source, focus on course posts, and add stream=True parameter to fix runtime error
* fix(crawler): Removed the incorrect reference in browser_config variable #1310
* docs: update Docker instructions to use the latest release tag
* fix(docker): Fix LLM API key handling for multi-provider support
Previously, the system incorrectly used OPENAI_API_KEY for all LLM providers
due to a hardcoded api_key_env fallback in config.yml. This caused authentication
errors when using non-OpenAI providers like Gemini.
Changes:
- Remove api_key_env from config.yml to let litellm handle provider-specific env vars
- Simplify get_llm_api_key() to return None, allowing litellm to auto-detect keys
- Update validate_llm_provider() to trust litellm's built-in key detection
- Update documentation to reflect the new automatic key handling
The fix leverages litellm's existing capability to automatically find the correct
environment variable for each provider (OPENAI_API_KEY, GEMINI_API_TOKEN, etc.)
without manual configuration.
ref #1291
* docs: update adaptive crawler docs and cache defaults; remove deprecated examples (#1330)
- Replace BaseStrategy with CrawlStrategy in custom strategy examples (DomainSpecificStrategy, HybridStrategy)
- Remove “Custom Link Scoring” and “Caching Strategy” sections no longer aligned with current library
- Revise memory pruning example to use adaptive.get_relevant_content and index-based retention of top 500 docs
- Correct Quickstart note: default cache mode is CacheMode.BYPASS; instruct enabling with CacheMode.ENABLED
* fix(utils): Improve URL normalization by avoiding quote/unquote to preserve '+' signs. ref #1332
* feat: Add comprehensive website to API example with frontend
This commit adds a complete, web scraping API example that demonstrates how to get structured data from any website and use it like an API using the crawl4ai library with a minimalist frontend interface.
Core Functionality
- AI-powered web scraping with plain English queries
- Dual scraping approaches: Schema-based (faster) and LLM-based (flexible)
- Intelligent schema caching for improved performance
- Custom LLM model support with API key management
- Automatic duplicate request prevention
Modern Frontend Interface
- Minimalist black-and-white design inspired by modern web apps
- Responsive layout with smooth animations and transitions
- Three main pages: Scrape Data, Models Management, API Request History
- Real-time results display with JSON formatting
- Copy-to-clipboard functionality for extracted data
- Toast notifications for user feedback
- Auto-scroll to results when scraping starts
Model Management System
- Web-based model configuration interface
- Support for any LLM provider (OpenAI, Gemini, Anthropic, etc.)
- Simplified configuration requiring only provider and API token
- Add, list, and delete model configurations
- Secure storage of API keys in local JSON files
API Request History
- Automatic saving of all API requests and responses
- Display of request history with URL, query, and cURL commands
- Duplicate prevention (same URL + query combinations)
- Request deletion functionality
- Clean, simplified display focusing on essential information
Technical Implementation
Backend (FastAPI)
- RESTful API with comprehensive endpoints
- Pydantic models for request/response validation
- Async web scraping with crawl4ai library
- Error handling with detailed error messages
- File-based storage for models and request history
Frontend (Vanilla JS/CSS/HTML)
- No framework dependencies - pure HTML, CSS, JavaScript
- Modern CSS Grid and Flexbox layouts
- Custom dropdown styling with SVG arrows
- Responsive design for mobile and desktop
- Smooth scrolling and animations
Core Library Integration
- WebScraperAgent class for orchestration
- ModelConfig class for LLM configuration management
- Schema generation and caching system
- LLM extraction strategy support
- Browser configuration with headless mode
* fix(dependencies): add cssselect to project dependencies
Fixes bug reported in issue #1405
[Bug]: Excluded selector (excluded_selector) doesn't work
This commit reintroduces the cssselect library which was removed by PR (https://github.com/unclecode/crawl4ai/pull/1368) and merged via (437395e490).
Integration tested against 0.7.4 Docker container. Reintroducing cssselector package eliminated errors seen in logs and excluded_selector functionality was restored.
Refs: #1405
* fix(docker): resolve filter serialization and JSON encoding errors in deep crawl strategy (ref #1419)
- Fix URLPatternFilter serialization by preventing private __slots__ from being serialized as constructor params
- Add public attributes to URLPatternFilter to store original constructor parameters for proper serialization
- Handle property descriptors in CrawlResult.model_dump() to prevent JSON serialization errors
- Ensure filter chains work correctly with Docker client and REST API
The issue occurred because:
1. Private implementation details (_simple_suffixes, etc.) were being serialized and passed as constructor arguments during deserialization
2. Property descriptors were being included in the serialized output, causing "Object of type property is not JSON serializable" errors
Changes:
- async_configs.py: Comment out __slots__ serialization logic (lines 100-109)
- filters.py: Add patterns, use_glob, reverse to URLPatternFilter __slots__ and store as public attributes
- models.py: Convert property descriptors to strings in model_dump() instead of including them directly
* fix(logger): ensure logger is a Logger instance in crawling strategies. ref #1437
* feat(docker): Add temperature and base_url parameters for LLM configuration. ref #1035
Implement hierarchical configuration for LLM parameters with support for:
- Temperature control (0.0-2.0) to adjust response creativity
- Custom base_url for proxy servers and alternative endpoints
- 4-tier priority: request params > provider env > global env > defaults
Add helper functions in utils.py, update API schemas and handlers,
support environment variables (LLM_TEMPERATURE, OPENAI_TEMPERATURE, etc.),
and provide comprehensive documentation with examples.
* feat(docker): improve docker error handling
- Return comprehensive error messages along with status codes for api internal errors.
- Fix fit_html property serialization issue in both /crawl and /crawl/stream endpoints
- Add sanitization to ensure fit_html is always JSON-serializable (string or None)
- Add comprehensive error handling test suite.
* #1375 : refactor(proxy) Deprecate 'proxy' parameter in BrowserConfig and enhance proxy string parsing
- Updated ProxyConfig.from_string to support multiple proxy formats, including URLs with credentials.
- Deprecated the 'proxy' parameter in BrowserConfig, replacing it with 'proxy_config' for better flexibility.
- Added warnings for deprecated usage and clarified behavior when both parameters are provided.
- Updated documentation and tests to reflect changes in proxy configuration handling.
* Remove deprecated test for 'proxy' parameter in BrowserConfig and update .gitignore to include test_scripts directory.
* feat: add preserve_https_for_internal_links flag to maintain HTTPS during crawling. Ref #1410
Added a new `preserve_https_for_internal_links` configuration flag that preserves the original HTTPS scheme for same-domain links even when the server redirects to HTTP.
* feat: update documentation for preserve_https_for_internal_links. ref #1410
* fix: drop Python 3.9 support and require Python >=3.10.
The library no longer supports Python 3.9 and so it was important to drop all references to python 3.9.
Following changes have been made:
- pyproject.toml: set requires-python to ">=3.10"; remove 3.9 classifier
- setup.py: set python_requires to ">=3.10"; remove 3.9 classifier
- docs: update Python version mentions
- deploy/docker/c4ai-doc-context.md: options -> 3.10, 3.11, 3.12, 3.13
* issue #1329 refactor(crawler): move unwanted properties to CrawlerRunConfig class
* fix(auth): fixed Docker JWT authentication. ref #1442
* remove: delete unused yoyo snapshot subproject
* fix: raise error on last attempt failure in perform_completion_with_backoff. ref #989
* Commit without API
* fix: update option labels in request builder for clarity
* fix: allow custom LLM providers for adaptive crawler embedding config. ref: #1291
- Change embedding_llm_config from Dict to Union[LLMConfig, Dict] for type safety
- Add backward-compatible conversion property _embedding_llm_config_dict
- Replace all hardcoded OpenAI embedding configs with configurable options
- Fix LLMConfig object attribute access in query expansion logic
- Add comprehensive example demonstrating multiple provider configurations
- Update documentation with both LLMConfig object and dictionary usage patterns
Users can now specify any LLM provider for query expansion in embedding strategy:
- New: embedding_llm_config=LLMConfig(provider='anthropic/claude-3', api_token='key')
- Old: embedding_llm_config={'provider': 'openai/gpt-4', 'api_token': 'key'} (still works)
* refactor(BrowserConfig): change deprecation warning for 'proxy' parameter to UserWarning
* feat(StealthAdapter): fix stealth features for Playwright integration. ref #1481
* #1505 fix(api): update config handling to only set base config if not provided by user
* fix(docker-deployment): replace console.log with print for metadata extraction
* Release v0.7.5: The Update
- Updated version to 0.7.5
- Added comprehensive demo and release notes
- Updated documentation
* refactor(release): remove memory management section for cleaner documentation. ref #1443
* feat(docs): add brand book and page copy functionality
- Add comprehensive brand book with color system, typography, components
- Add page copy dropdown with markdown copy/view functionality
- Update mkdocs.yml with new assets and branding navigation
- Use terminal-style ASCII icons and condensed menu design
* Update gitignore add local scripts folder
* fix: remove this import as it causes python to treat "json" as a variable in the except block
* fix: always return a list, even if we catch an exception
* feat(marketplace): Add Crawl4AI marketplace with secure configuration
- Implement marketplace frontend and admin dashboard
- Add FastAPI backend with environment-based configuration
- Use .env file for secrets management
- Include data generation scripts
- Add proper CORS configuration
- Remove hardcoded password from admin login
- Update gitignore for security
* fix(marketplace): Update URLs to use /marketplace path and relative API endpoints
- Change API_BASE to relative '/api' for production
- Move marketplace to /marketplace instead of /marketplace/frontend
- Update MkDocs navigation
- Fix logo path in marketplace index
* fix(docs): hide copy menu on non-markdown pages
* feat(marketplace): add sponsor logo uploads
Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
* feat(docs): add chatgpt quick link to page actions
* fix(marketplace): align admin api with backend endpoints
* fix(marketplace): isolate api under marketplace prefix
* fix(marketplace): resolve app detail page routing and styling issues
- Fixed JavaScript errors from missing HTML elements (install-code, usage-code, integration-code)
- Added missing CSS classes for tabs, overview layout, sidebar, and integration content
- Fixed tab navigation to display horizontally in single line
- Added proper padding to tab content sections (removed from container, added to content)
- Fixed tab selector from .nav-tab to .tab-btn to match HTML structure
- Added sidebar styling with stats grid and metadata display
- Improved responsive design with mobile-friendly tab scrolling
- Fixed code block positioning for copy buttons
- Removed margin from first headings to prevent extra spacing
- Added null checks for DOM elements in JavaScript to prevent errors
These changes resolve the routing issue where clicking on apps caused page redirects,
and fix the broken layout where CSS was not properly applied to the app detail page.
* fix(marketplace): prevent hero image overflow and secondary card stretching
- Fixed hero image to 200px height with min/max constraints
- Added object-fit: cover to hero-image img elements
- Changed secondary-featured align-items from stretch to flex-start
- Fixed secondary-card height to 118px (no flex: 1 stretching)
- Updated responsive grid layouts for wider screens
- Added flex: 1 to hero-content for better content distribution
These changes ensure a rigid, predictable layout that prevents:
1. Large images from pushing text content down
2. Single secondary cards from stretching to fill entire height
* feat: Add hooks utility for function-based hooks with Docker client integration. ref #1377
Add hooks_to_string() utility function that converts Python function objects
to string representations for the Docker API, enabling developers to write hooks
as regular Python functions instead of strings.
Core Changes:
- New hooks_to_string() utility in crawl4ai/utils.py using inspect.getsource()
- Docker client now accepts both function objects and strings for hooks
- Automatic detection and conversion in Crawl4aiDockerClient._prepare_request()
- New hooks and hooks_timeout parameters in client.crawl() method
Documentation:
- Docker client examples with function-based hooks (docs/examples/docker_client_hooks_example.py)
- Updated main Docker deployment guide with comprehensive hooks section
- Added unit tests for hooks utility (tests/docker/test_hooks_utility.py)
* feat: Add hooks utility for function-based hooks with Docker client integration. ref #1377
Add hooks_to_string() utility function that converts Python function objects
to string representations for the Docker API, enabling developers to write hooks
as regular Python functions instead of strings.
Core Changes:
- New hooks_to_string() utility in crawl4ai/utils.py using inspect.getsource()
- Docker client now accepts both function objects and strings for hooks
- Automatic detection and conversion in Crawl4aiDockerClient._prepare_request()
- New hooks and hooks_timeout parameters in client.crawl() method
Documentation:
- Docker client examples with function-based hooks (docs/examples/docker_client_hooks_example.py)
- Updated main Docker deployment guide with comprehensive hooks section
- Added unit tests for hooks utility (tests/docker/test_hooks_utility.py)
* fix(docs): clarify Docker Hooks System with function-based API in README
* docs: Add demonstration files for v0.7.5 release, showcasing the new Docker Hooks System and all other features.
* docs: Update 0.7.5 video walkthrough
* docs: add complete SDK reference documentation
Add comprehensive single-page SDK reference combining:
- Installation & Setup
- Quick Start
- Core API (AsyncWebCrawler, arun, arun_many, CrawlResult)
- Configuration (BrowserConfig, CrawlerConfig, Parameters)
- Crawling Patterns
- Content Processing (Markdown, Fit Markdown, Selection, Interaction, Link & Media)
- Extraction Strategies (LLM and No-LLM)
- Advanced Features (Session Management, Hooks & Auth)
Generated using scripts/generate_sdk_docs.py in ultra-dense mode
optimized for AI assistant consumption.
Stats: 23K words, 185 code blocks, 220KB
* feat: add AI assistant skill package for Crawl4AI
- Create comprehensive skill package for AI coding assistants
- Include complete SDK reference (23K words, v0.7.4)
- Add three extraction scripts (basic, batch, pipeline)
- Implement version tracking in skill and scripts
- Add prominent download section on homepage
- Place skill in docs/assets for web distribution
The skill enables AI assistants like Claude, Cursor, and Windsurf
to effectively use Crawl4AI with optimized workflows for markdown
generation and data extraction.
* fix: remove non-existent wiki link and clarify skill usage instructions
* fix: update Crawl4AI skill with corrected parameters and examples
- Fixed CrawlerConfig → CrawlerRunConfig throughout
- Fixed parameter names (timeout → page_timeout, store_html removed)
- Fixed schema format (selector → baseSelector)
- Corrected proxy configuration (in BrowserConfig, not CrawlerRunConfig)
- Fixed fit_markdown usage with content filters
- Added comprehensive references to docs/examples/ directory
- Created safe packaging script to avoid root directory pollution
- All scripts tested and verified working
* fix: thoroughly verify and fix all Crawl4AI skill examples
- Cross-checked every section against actual docs
- Fixed BM25ContentFilter parameters (user_query, bm25_threshold)
- Removed incorrect wait_for selector from basic example
- Added comprehensive test suite (4 test files)
- All examples now tested and verified working
- Tests validate: basic crawling, markdown generation, data extraction, advanced patterns
- Package size: 76.6 KB (includes tests for future validation)
* feat(ci): split release pipeline and add Docker caching
- Split release.yml into PyPI/GitHub release and Docker workflows
- Add GitHub Actions cache for Docker builds (10-15x faster rebuilds)
- Implement dual-trigger for docker-release.yml (auto + manual)
- Add comprehensive workflow documentation in .github/workflows/docs/
- Backup original workflow as release.yml.backup
* feat: add webhook notifications for crawl job completion
Implements webhook support for the crawl job API to eliminate polling requirements.
Changes:
- Added WebhookConfig and WebhookPayload schemas to schemas.py
- Created webhook.py with WebhookDeliveryService class
- Integrated webhook notifications in api.py handle_crawl_job
- Updated job.py CrawlJobPayload to accept webhook_config
- Added webhook configuration section to config.yml
- Included comprehensive usage examples in WEBHOOK_EXAMPLES.md
Features:
- Webhook notifications on job completion (success/failure)
- Configurable data inclusion in webhook payload
- Custom webhook headers support
- Global default webhook URL configuration
- Exponential backoff retry logic (5 attempts: 1s, 2s, 4s, 8s, 16s)
- 30-second timeout per webhook call
Usage:
POST /crawl/job with optional webhook_config:
- webhook_url: URL to receive notifications
- webhook_data_in_payload: include full results (default: false)
- webhook_headers: custom headers for authentication
Generated with Claude Code https://claude.com/claude-code
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: add webhook documentation to Docker README
Added comprehensive webhook section to README.md including:
- Overview of asynchronous job queue with webhooks
- Benefits and use cases
- Quick start examples
- Webhook authentication
- Global webhook configuration
- Job status polling alternative
Updated table of contents and summary to include webhook feature.
Maintains consistent tone and style with rest of README.
Generated with Claude Code https://claude.com/claude-code
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: add webhook example for Docker deployment
Added docker_webhook_example.py demonstrating:
- Submitting crawl jobs with webhook configuration
- Flask-based webhook receiver implementation
- Three usage patterns:
1. Webhook notification only (fetch data separately)
2. Webhook with full data in payload
3. Traditional polling approach for comparison
Includes comprehensive comments explaining:
- Webhook payload structure
- Authentication headers setup
- Error handling
- Production deployment tips
Example is fully functional and ready to run with Flask installed.
Generated with Claude Code https://claude.com/claude-code
Co-Authored-By: Claude <noreply@anthropic.com>
* test: add webhook implementation validation tests
Added comprehensive test suite to validate webhook implementation:
- Module import verification
- WebhookDeliveryService initialization
- Pydantic model validation (WebhookConfig)
- Payload construction logic
- Exponential backoff calculation
- API integration checks
All tests pass (6/6), confirming implementation is correct.
Generated with Claude Code https://claude.com/claude-code
Co-Authored-By: Claude <noreply@anthropic.com>
* test: add comprehensive webhook feature test script
Added end-to-end test script that automates webhook feature testing:
Script Features (test_webhook_feature.sh):
- Automatic branch switching and dependency installation
- Redis and server startup/shutdown management
- Webhook receiver implementation
- Integration test for webhook notifications
- Comprehensive cleanup and error handling
- Returns to original branch after completion
Test Flow:
1. Fetch and checkout webhook feature branch
2. Activate venv and install dependencies
3. Start Redis and Crawl4AI server
4. Submit crawl job with webhook config
5. Verify webhook delivery and payload
6. Clean up all processes and return to original branch
Documentation:
- WEBHOOK_TEST_README.md with usage instructions
- Troubleshooting guide
- Exit codes and safety features
Usage: ./tests/test_webhook_feature.sh
Generated with Claude Code https://claude.com/claude-code
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: properly serialize Pydantic HttpUrl in webhook config
Use model_dump(mode='json') instead of deprecated dict() method to ensure
Pydantic special types (HttpUrl, UUID, etc.) are properly serialized to
JSON-compatible native Python types.
This fixes webhook delivery failures caused by HttpUrl objects remaining
as Pydantic types in the webhook_config dict, which caused JSON
serialization errors and httpx request failures.
Also update mcp requirement to >=1.18.0 for compatibility.
* feat: add webhook support for /llm/job endpoint
Add comprehensive webhook notification support for the /llm/job endpoint,
following the same pattern as the existing /crawl/job implementation.
Changes:
- Add webhook_config field to LlmJobPayload model (job.py)
- Implement webhook notifications in process_llm_extraction() with 4
notification points: success, provider validation failure, extraction
failure, and general exceptions (api.py)
- Store webhook_config in Redis task data for job tracking
- Initialize WebhookDeliveryService with exponential backoff retry logic
Documentation:
- Add Example 6 to WEBHOOK_EXAMPLES.md showing LLM extraction with webhooks
- Update Flask webhook handler to support both crawl and llm_extraction tasks
- Add TypeScript client examples for LLM jobs
- Add comprehensive examples to docker_webhook_example.py with schema support
- Clarify data structure differences between webhook and API responses
Testing:
- Add test_llm_webhook_feature.py with 7 validation tests (all passing)
- Verify pattern consistency with /crawl/job implementation
- Add implementation guide (WEBHOOK_LLM_JOB_IMPLEMENTATION.md)
* fix: remove duplicate comma in webhook_config parameter
* fix: update Crawl4AI Docker container port from 11234 to 11235
* Release v0.7.6: The 0.7.6 Update
- Updated version to 0.7.6
- Added comprehensive demo and release notes
- Updated all documentation
- Update the veriosn in Dockerfile to 0.7.6
---------
Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Co-authored-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Co-authored-by: Nezar Ali <abu5sohaib@gmail.com>
Co-authored-by: Soham Kukreti <kukretisoham@gmail.com>
Co-authored-by: James T. Wood <jamesthomaswood@gmail.com>
Co-authored-by: AHMET YILMAZ <tawfik@kidocode.com>
Co-authored-by: nafeqq-1306 <nafiquee@yahoo.com>
Co-authored-by: unclecode <unclecode@kidocode.com>
Co-authored-by: Martin Sjöborg <martin.sjoborg@quartr.se>
Co-authored-by: Martin Sjöborg <martin@sjoborg.org>
Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
Co-authored-by: Claude <noreply@anthropic.com>
This commit is contained in:
Nasrin
201
tests/docker/test_filter_deep_crawl.py
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tests/docker/test_filter_deep_crawl.py
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"""
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Test the complete fix for both the filter serialization and JSON serialization issues.
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"""
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import asyncio
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import httpx
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from crawl4ai import BrowserConfig, CacheMode, CrawlerRunConfig
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from crawl4ai.deep_crawling import BFSDeepCrawlStrategy, FilterChain, URLPatternFilter
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BASE_URL = "http://localhost:11234/" # Adjust port as needed
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async def test_with_docker_client():
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"""Test using the Docker client (same as 1419.py)."""
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from crawl4ai.docker_client import Crawl4aiDockerClient
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print("=" * 60)
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print("Testing with Docker Client")
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print("=" * 60)
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try:
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async with Crawl4aiDockerClient(
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base_url=BASE_URL,
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verbose=True,
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) as client:
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# Create filter chain - testing the serialization fix
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filter_chain = [
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URLPatternFilter(
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# patterns=["*about*", "*privacy*", "*terms*"],
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patterns=["*advanced*"],
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reverse=True
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),
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]
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crawler_config = CrawlerRunConfig(
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deep_crawl_strategy=BFSDeepCrawlStrategy(
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max_depth=2, # Keep it shallow for testing
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# max_pages=5, # Limit pages for testing
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filter_chain=FilterChain(filter_chain)
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),
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cache_mode=CacheMode.BYPASS,
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)
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print("\n1. Testing crawl with filters...")
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results = await client.crawl(
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["https://docs.crawl4ai.com"], # Simple test page
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browser_config=BrowserConfig(headless=True),
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crawler_config=crawler_config,
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)
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if results:
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print(f"✅ Crawl succeeded! Type: {type(results)}")
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if hasattr(results, 'success'):
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print(f"✅ Results success: {results.success}")
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# Test that we can iterate results without JSON errors
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if hasattr(results, '__iter__'):
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for i, result in enumerate(results):
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if hasattr(result, 'url'):
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print(f" Result {i}: {result.url[:50]}...")
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else:
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print(f" Result {i}: {str(result)[:50]}...")
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else:
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# Handle list of results
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print(f"✅ Got {len(results)} results")
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for i, result in enumerate(results[:3]): # Show first 3
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print(f" Result {i}: {result.url[:50]}...")
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else:
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print("❌ Crawl failed - no results returned")
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return False
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print("\n✅ Docker client test completed successfully!")
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return True
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except Exception as e:
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print(f"❌ Docker client test failed: {e}")
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import traceback
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traceback.print_exc()
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return False
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async def test_with_rest_api():
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"""Test using REST API directly."""
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print("\n" + "=" * 60)
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print("Testing with REST API")
|
||||
print("=" * 60)
|
||||
|
||||
# Create filter configuration
|
||||
deep_crawl_strategy_payload = {
|
||||
"type": "BFSDeepCrawlStrategy",
|
||||
"params": {
|
||||
"max_depth": 2,
|
||||
# "max_pages": 5,
|
||||
"filter_chain": {
|
||||
"type": "FilterChain",
|
||||
"params": {
|
||||
"filters": [
|
||||
{
|
||||
"type": "URLPatternFilter",
|
||||
"params": {
|
||||
"patterns": ["*advanced*"],
|
||||
"reverse": True
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
crawl_payload = {
|
||||
"urls": ["https://docs.crawl4ai.com"],
|
||||
"browser_config": {"type": "BrowserConfig", "params": {"headless": True}},
|
||||
"crawler_config": {
|
||||
"type": "CrawlerRunConfig",
|
||||
"params": {
|
||||
"deep_crawl_strategy": deep_crawl_strategy_payload,
|
||||
"cache_mode": "bypass"
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
try:
|
||||
async with httpx.AsyncClient() as client:
|
||||
print("\n1. Sending crawl request to REST API...")
|
||||
response = await client.post(
|
||||
f"{BASE_URL}crawl",
|
||||
json=crawl_payload,
|
||||
timeout=30
|
||||
)
|
||||
|
||||
if response.status_code == 200:
|
||||
print(f"✅ REST API returned 200 OK")
|
||||
data = response.json()
|
||||
if data.get("success"):
|
||||
results = data.get("results", [])
|
||||
print(f"✅ Got {len(results)} results")
|
||||
for i, result in enumerate(results[:3]):
|
||||
print(f" Result {i}: {result.get('url', 'unknown')[:50]}...")
|
||||
else:
|
||||
print(f"❌ Crawl not successful: {data}")
|
||||
return False
|
||||
else:
|
||||
print(f"❌ REST API returned {response.status_code}")
|
||||
print(f" Response: {response.text[:500]}")
|
||||
return False
|
||||
|
||||
print("\n✅ REST API test completed successfully!")
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
print(f"❌ REST API test failed: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
return False
|
||||
|
||||
|
||||
async def main():
|
||||
"""Run all tests."""
|
||||
print("\n🧪 TESTING COMPLETE FIX FOR DOCKER FILTER AND JSON ISSUES")
|
||||
print("=" * 60)
|
||||
print("Make sure the server is running with the updated code!")
|
||||
print("=" * 60)
|
||||
|
||||
results = []
|
||||
|
||||
# Test 1: Docker client
|
||||
docker_passed = await test_with_docker_client()
|
||||
results.append(("Docker Client", docker_passed))
|
||||
|
||||
# Test 2: REST API
|
||||
rest_passed = await test_with_rest_api()
|
||||
results.append(("REST API", rest_passed))
|
||||
|
||||
# Summary
|
||||
print("\n" + "=" * 60)
|
||||
print("FINAL TEST SUMMARY")
|
||||
print("=" * 60)
|
||||
|
||||
all_passed = True
|
||||
for test_name, passed in results:
|
||||
status = "✅ PASSED" if passed else "❌ FAILED"
|
||||
print(f"{test_name:20} {status}")
|
||||
if not passed:
|
||||
all_passed = False
|
||||
|
||||
print("=" * 60)
|
||||
if all_passed:
|
||||
print("🎉 ALL TESTS PASSED! Both issues are fully resolved!")
|
||||
print("\nThe fixes:")
|
||||
print("1. Filter serialization: Fixed by not serializing private __slots__")
|
||||
print("2. JSON serialization: Fixed by removing property descriptors from model_dump()")
|
||||
else:
|
||||
print("⚠️ Some tests failed. Please check the server logs for details.")
|
||||
|
||||
return 0 if all_passed else 1
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
import sys
|
||||
sys.exit(asyncio.run(main()))
|
||||
372
tests/docker/test_hooks_client.py
Normal file
372
tests/docker/test_hooks_client.py
Normal file
@@ -0,0 +1,372 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Test client for demonstrating user-provided hooks in Crawl4AI Docker API
|
||||
"""
|
||||
|
||||
import requests
|
||||
import json
|
||||
from typing import Dict, Any
|
||||
|
||||
|
||||
API_BASE_URL = "http://localhost:11234" # Adjust if needed
|
||||
|
||||
|
||||
def test_hooks_info():
|
||||
"""Get information about available hooks"""
|
||||
print("=" * 70)
|
||||
print("Testing: GET /hooks/info")
|
||||
print("=" * 70)
|
||||
|
||||
response = requests.get(f"{API_BASE_URL}/hooks/info")
|
||||
if response.status_code == 200:
|
||||
data = response.json()
|
||||
print("Available Hook Points:")
|
||||
for hook, info in data['available_hooks'].items():
|
||||
print(f"\n{hook}:")
|
||||
print(f" Parameters: {', '.join(info['parameters'])}")
|
||||
print(f" Description: {info['description']}")
|
||||
else:
|
||||
print(f"Error: {response.status_code}")
|
||||
print(response.text)
|
||||
|
||||
|
||||
def test_basic_crawl_with_hooks():
|
||||
"""Test basic crawling with user-provided hooks"""
|
||||
print("\n" + "=" * 70)
|
||||
print("Testing: POST /crawl with hooks")
|
||||
print("=" * 70)
|
||||
|
||||
# Define hooks as Python code strings
|
||||
hooks_code = {
|
||||
"on_page_context_created": """
|
||||
async def hook(page, context, **kwargs):
|
||||
print("Hook: Setting up page context")
|
||||
# Block images to speed up crawling
|
||||
await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
|
||||
print("Hook: Images blocked")
|
||||
return page
|
||||
""",
|
||||
|
||||
"before_retrieve_html": """
|
||||
async def hook(page, context, **kwargs):
|
||||
print("Hook: Before retrieving HTML")
|
||||
# Scroll to bottom to load lazy content
|
||||
await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
|
||||
await page.wait_for_timeout(1000)
|
||||
print("Hook: Scrolled to bottom")
|
||||
return page
|
||||
""",
|
||||
|
||||
"before_goto": """
|
||||
async def hook(page, context, url, **kwargs):
|
||||
print(f"Hook: About to navigate to {url}")
|
||||
# Add custom headers
|
||||
await page.set_extra_http_headers({
|
||||
'X-Test-Header': 'crawl4ai-hooks-test'
|
||||
})
|
||||
return page
|
||||
"""
|
||||
}
|
||||
|
||||
# Create request payload
|
||||
payload = {
|
||||
"urls": ["https://httpbin.org/html"],
|
||||
"hooks": {
|
||||
"code": hooks_code,
|
||||
"timeout": 30
|
||||
}
|
||||
}
|
||||
|
||||
print("Sending request with hooks...")
|
||||
response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
|
||||
|
||||
if response.status_code == 200:
|
||||
data = response.json()
|
||||
print("\n✅ Crawl successful!")
|
||||
|
||||
# Check hooks status
|
||||
if 'hooks' in data:
|
||||
hooks_info = data['hooks']
|
||||
print("\nHooks Execution Summary:")
|
||||
print(f" Status: {hooks_info['status']['status']}")
|
||||
print(f" Attached hooks: {', '.join(hooks_info['status']['attached_hooks'])}")
|
||||
|
||||
if hooks_info['status']['validation_errors']:
|
||||
print("\n⚠️ Validation Errors:")
|
||||
for error in hooks_info['status']['validation_errors']:
|
||||
print(f" - {error['hook_point']}: {error['error']}")
|
||||
|
||||
if 'summary' in hooks_info:
|
||||
summary = hooks_info['summary']
|
||||
print(f"\nExecution Statistics:")
|
||||
print(f" Total executions: {summary['total_executions']}")
|
||||
print(f" Successful: {summary['successful']}")
|
||||
print(f" Failed: {summary['failed']}")
|
||||
print(f" Timed out: {summary['timed_out']}")
|
||||
print(f" Success rate: {summary['success_rate']:.1f}%")
|
||||
|
||||
if hooks_info['execution_log']:
|
||||
print("\nExecution Log:")
|
||||
for log_entry in hooks_info['execution_log']:
|
||||
status_icon = "✅" if log_entry['status'] == 'success' else "❌"
|
||||
print(f" {status_icon} {log_entry['hook_point']}: {log_entry['status']} ({log_entry.get('execution_time', 0):.2f}s)")
|
||||
|
||||
if hooks_info['errors']:
|
||||
print("\n❌ Hook Errors:")
|
||||
for error in hooks_info['errors']:
|
||||
print(f" - {error['hook_point']}: {error['error']}")
|
||||
|
||||
# Show crawl results
|
||||
if 'results' in data:
|
||||
print(f"\nCrawled {len(data['results'])} URL(s)")
|
||||
for result in data['results']:
|
||||
print(f" - {result['url']}: {'✅' if result['success'] else '❌'}")
|
||||
|
||||
else:
|
||||
print(f"❌ Error: {response.status_code}")
|
||||
print(response.text)
|
||||
|
||||
|
||||
def test_invalid_hook():
|
||||
"""Test with an invalid hook to see error handling"""
|
||||
print("\n" + "=" * 70)
|
||||
print("Testing: Invalid hook handling")
|
||||
print("=" * 70)
|
||||
|
||||
# Intentionally broken hook
|
||||
hooks_code = {
|
||||
"on_page_context_created": """
|
||||
def hook(page, context): # Missing async!
|
||||
return page
|
||||
""",
|
||||
|
||||
"before_retrieve_html": """
|
||||
async def hook(page, context, **kwargs):
|
||||
# This will cause an error
|
||||
await page.non_existent_method()
|
||||
return page
|
||||
"""
|
||||
}
|
||||
|
||||
payload = {
|
||||
"urls": ["https://httpbin.org/html"],
|
||||
"hooks": {
|
||||
"code": hooks_code,
|
||||
"timeout": 5
|
||||
}
|
||||
}
|
||||
|
||||
print("Sending request with invalid hooks...")
|
||||
response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
|
||||
|
||||
if response.status_code == 200:
|
||||
data = response.json()
|
||||
|
||||
if 'hooks' in data:
|
||||
hooks_info = data['hooks']
|
||||
print(f"\nHooks Status: {hooks_info['status']['status']}")
|
||||
|
||||
if hooks_info['status']['validation_errors']:
|
||||
print("\n✅ Validation caught errors (as expected):")
|
||||
for error in hooks_info['status']['validation_errors']:
|
||||
print(f" - {error['hook_point']}: {error['error']}")
|
||||
|
||||
if hooks_info['errors']:
|
||||
print("\n✅ Runtime errors handled gracefully:")
|
||||
for error in hooks_info['errors']:
|
||||
print(f" - {error['hook_point']}: {error['error']}")
|
||||
|
||||
# The crawl should still succeed despite hook errors
|
||||
if data.get('success'):
|
||||
print("\n✅ Crawl succeeded despite hook errors (error isolation working!)")
|
||||
|
||||
else:
|
||||
print(f"Error: {response.status_code}")
|
||||
print(response.text)
|
||||
|
||||
|
||||
def test_authentication_hook():
|
||||
"""Test authentication using hooks"""
|
||||
print("\n" + "=" * 70)
|
||||
print("Testing: Authentication with hooks")
|
||||
print("=" * 70)
|
||||
|
||||
hooks_code = {
|
||||
"before_goto": """
|
||||
async def hook(page, context, url, **kwargs):
|
||||
# For httpbin.org basic auth test, set Authorization header
|
||||
import base64
|
||||
|
||||
# httpbin.org/basic-auth/user/passwd expects username="user" and password="passwd"
|
||||
credentials = base64.b64encode(b"user:passwd").decode('ascii')
|
||||
|
||||
await page.set_extra_http_headers({
|
||||
'Authorization': f'Basic {credentials}'
|
||||
})
|
||||
|
||||
print(f"Hook: Set Authorization header for {url}")
|
||||
return page
|
||||
""",
|
||||
"on_page_context_created": """
|
||||
async def hook(page, context, **kwargs):
|
||||
# Example: Add cookies for session tracking
|
||||
await context.add_cookies([
|
||||
{
|
||||
'name': 'session_id',
|
||||
'value': 'test_session_123',
|
||||
'domain': '.httpbin.org',
|
||||
'path': '/',
|
||||
'httpOnly': True,
|
||||
'secure': True
|
||||
}
|
||||
])
|
||||
|
||||
print("Hook: Added session cookie")
|
||||
return page
|
||||
"""
|
||||
}
|
||||
|
||||
payload = {
|
||||
"urls": ["https://httpbin.org/basic-auth/user/passwd"],
|
||||
"hooks": {
|
||||
"code": hooks_code,
|
||||
"timeout": 30
|
||||
}
|
||||
}
|
||||
|
||||
print("Sending request with authentication hook...")
|
||||
response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
|
||||
|
||||
if response.status_code == 200:
|
||||
data = response.json()
|
||||
if data.get('success'):
|
||||
print("✅ Crawl with authentication hook successful")
|
||||
|
||||
# Check if hooks executed
|
||||
if 'hooks' in data:
|
||||
hooks_info = data['hooks']
|
||||
if hooks_info.get('summary', {}).get('successful', 0) > 0:
|
||||
print(f"✅ Authentication hooks executed: {hooks_info['summary']['successful']} successful")
|
||||
|
||||
# Check for any hook errors
|
||||
if hooks_info.get('errors'):
|
||||
print("⚠️ Hook errors:")
|
||||
for error in hooks_info['errors']:
|
||||
print(f" - {error}")
|
||||
|
||||
# Check if authentication worked by looking at the result
|
||||
if 'results' in data and len(data['results']) > 0:
|
||||
result = data['results'][0]
|
||||
if result.get('success'):
|
||||
print("✅ Page crawled successfully (authentication worked!)")
|
||||
# httpbin.org/basic-auth returns JSON with authenticated=true when successful
|
||||
if 'authenticated' in str(result.get('html', '')):
|
||||
print("✅ Authentication confirmed in response content")
|
||||
else:
|
||||
print(f"❌ Crawl failed: {result.get('error_message', 'Unknown error')}")
|
||||
else:
|
||||
print("❌ Request failed")
|
||||
print(f"Response: {json.dumps(data, indent=2)}")
|
||||
else:
|
||||
print(f"❌ Error: {response.status_code}")
|
||||
try:
|
||||
error_data = response.json()
|
||||
print(f"Error details: {json.dumps(error_data, indent=2)}")
|
||||
except:
|
||||
print(f"Error text: {response.text[:500]}")
|
||||
|
||||
|
||||
def test_streaming_with_hooks():
|
||||
"""Test streaming endpoint with hooks"""
|
||||
print("\n" + "=" * 70)
|
||||
print("Testing: POST /crawl/stream with hooks")
|
||||
print("=" * 70)
|
||||
|
||||
hooks_code = {
|
||||
"before_retrieve_html": """
|
||||
async def hook(page, context, **kwargs):
|
||||
await page.evaluate("document.querySelectorAll('img').forEach(img => img.remove())")
|
||||
return page
|
||||
"""
|
||||
}
|
||||
|
||||
payload = {
|
||||
"urls": ["https://httpbin.org/html", "https://httpbin.org/json"],
|
||||
"hooks": {
|
||||
"code": hooks_code,
|
||||
"timeout": 10
|
||||
}
|
||||
}
|
||||
|
||||
print("Sending streaming request with hooks...")
|
||||
|
||||
with requests.post(f"{API_BASE_URL}/crawl/stream", json=payload, stream=True) as response:
|
||||
if response.status_code == 200:
|
||||
# Check headers for hooks status
|
||||
hooks_status = response.headers.get('X-Hooks-Status')
|
||||
if hooks_status:
|
||||
print(f"Hooks Status (from header): {hooks_status}")
|
||||
|
||||
print("\nStreaming results:")
|
||||
for line in response.iter_lines():
|
||||
if line:
|
||||
try:
|
||||
result = json.loads(line)
|
||||
if 'url' in result:
|
||||
print(f" Received: {result['url']}")
|
||||
elif 'status' in result:
|
||||
print(f" Stream status: {result['status']}")
|
||||
except json.JSONDecodeError:
|
||||
print(f" Raw: {line.decode()}")
|
||||
else:
|
||||
print(f"Error: {response.status_code}")
|
||||
|
||||
|
||||
def test_basic_without_hooks():
|
||||
"""Test basic crawl without hooks"""
|
||||
print("\n" + "=" * 70)
|
||||
print("Testing: POST /crawl with no hooks")
|
||||
print("=" * 70)
|
||||
|
||||
payload = {
|
||||
"urls": ["https://httpbin.org/html", "https://httpbin.org/json"]
|
||||
}
|
||||
|
||||
response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
|
||||
if response.status_code == 200:
|
||||
data = response.json()
|
||||
print(f"Response: {json.dumps(data, indent=2)}")
|
||||
else:
|
||||
print(f"Error: {response.status_code}")
|
||||
|
||||
|
||||
def main():
|
||||
"""Run all tests"""
|
||||
print("🔧 Crawl4AI Docker API - Hooks Testing")
|
||||
print("=" * 70)
|
||||
|
||||
# Test 1: Get hooks information
|
||||
# test_hooks_info()
|
||||
|
||||
# Test 2: Basic crawl with hooks
|
||||
# test_basic_crawl_with_hooks()
|
||||
|
||||
# Test 3: Invalid hooks (error handling)
|
||||
test_invalid_hook()
|
||||
|
||||
# # Test 4: Authentication hook
|
||||
# test_authentication_hook()
|
||||
|
||||
# # Test 5: Streaming with hooks
|
||||
# test_streaming_with_hooks()
|
||||
|
||||
# # Test 6: Basic crawl without hooks
|
||||
# test_basic_without_hooks()
|
||||
|
||||
print("\n" + "=" * 70)
|
||||
print("✅ All tests completed!")
|
||||
print("=" * 70)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
512
tests/docker/test_hooks_comprehensive.py
Normal file
512
tests/docker/test_hooks_comprehensive.py
Normal file
@@ -0,0 +1,512 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Comprehensive test demonstrating all hook types from hooks_example.py
|
||||
adapted for the Docker API with real URLs
|
||||
"""
|
||||
|
||||
import requests
|
||||
import json
|
||||
import time
|
||||
from typing import Dict, Any
|
||||
|
||||
API_BASE_URL = "http://localhost:11234"
|
||||
|
||||
|
||||
def test_all_hooks_demo():
|
||||
"""Demonstrate all 8 hook types with practical examples"""
|
||||
print("=" * 70)
|
||||
print("Testing: All Hooks Comprehensive Demo")
|
||||
print("=" * 70)
|
||||
|
||||
hooks_code = {
|
||||
"on_browser_created": """
|
||||
async def hook(browser, **kwargs):
|
||||
# Hook called after browser is created
|
||||
print("[HOOK] on_browser_created - Browser is ready!")
|
||||
# Browser-level configurations would go here
|
||||
return browser
|
||||
""",
|
||||
|
||||
"on_page_context_created": """
|
||||
async def hook(page, context, **kwargs):
|
||||
# Hook called after a new page and context are created
|
||||
print("[HOOK] on_page_context_created - New page created!")
|
||||
|
||||
# Set viewport size for consistent rendering
|
||||
await page.set_viewport_size({"width": 1920, "height": 1080})
|
||||
|
||||
# Add cookies for the session (using httpbin.org domain)
|
||||
await context.add_cookies([
|
||||
{
|
||||
"name": "test_session",
|
||||
"value": "abc123xyz",
|
||||
"domain": ".httpbin.org",
|
||||
"path": "/",
|
||||
"httpOnly": True,
|
||||
"secure": True
|
||||
}
|
||||
])
|
||||
|
||||
# Block ads and tracking scripts to speed up crawling
|
||||
await context.route("**/*.{png,jpg,jpeg,gif,webp,svg}", lambda route: route.abort())
|
||||
await context.route("**/analytics/*", lambda route: route.abort())
|
||||
await context.route("**/ads/*", lambda route: route.abort())
|
||||
|
||||
print("[HOOK] Viewport set, cookies added, and ads blocked")
|
||||
return page
|
||||
""",
|
||||
|
||||
"on_user_agent_updated": """
|
||||
async def hook(page, context, user_agent, **kwargs):
|
||||
# Hook called when user agent is updated
|
||||
print(f"[HOOK] on_user_agent_updated - User agent: {user_agent[:50]}...")
|
||||
return page
|
||||
""",
|
||||
|
||||
"before_goto": """
|
||||
async def hook(page, context, url, **kwargs):
|
||||
# Hook called before navigating to each URL
|
||||
print(f"[HOOK] before_goto - About to visit: {url}")
|
||||
|
||||
# Add custom headers for the request
|
||||
await page.set_extra_http_headers({
|
||||
"X-Custom-Header": "crawl4ai-test",
|
||||
"Accept-Language": "en-US,en;q=0.9",
|
||||
"DNT": "1"
|
||||
})
|
||||
|
||||
return page
|
||||
""",
|
||||
|
||||
"after_goto": """
|
||||
async def hook(page, context, url, response, **kwargs):
|
||||
# Hook called after navigating to each URL
|
||||
print(f"[HOOK] after_goto - Successfully loaded: {url}")
|
||||
|
||||
# Wait a moment for dynamic content to load
|
||||
await page.wait_for_timeout(1000)
|
||||
|
||||
# Check if specific elements exist (with error handling)
|
||||
try:
|
||||
# For httpbin.org, wait for body element
|
||||
await page.wait_for_selector("body", timeout=2000)
|
||||
print("[HOOK] Body element found and loaded")
|
||||
except:
|
||||
print("[HOOK] Timeout waiting for body, continuing anyway")
|
||||
|
||||
return page
|
||||
""",
|
||||
|
||||
"on_execution_started": """
|
||||
async def hook(page, context, **kwargs):
|
||||
# Hook called after custom JavaScript execution
|
||||
print("[HOOK] on_execution_started - Custom JS executed!")
|
||||
|
||||
# You could inject additional JavaScript here if needed
|
||||
await page.evaluate("console.log('[INJECTED] Hook JS running');")
|
||||
|
||||
return page
|
||||
""",
|
||||
|
||||
"before_retrieve_html": """
|
||||
async def hook(page, context, **kwargs):
|
||||
# Hook called before retrieving the HTML content
|
||||
print("[HOOK] before_retrieve_html - Preparing to get HTML")
|
||||
|
||||
# Scroll to bottom to trigger lazy loading
|
||||
await page.evaluate("window.scrollTo(0, document.body.scrollHeight);")
|
||||
await page.wait_for_timeout(500)
|
||||
|
||||
# Scroll back to top
|
||||
await page.evaluate("window.scrollTo(0, 0);")
|
||||
await page.wait_for_timeout(500)
|
||||
|
||||
# One more scroll to middle for good measure
|
||||
await page.evaluate("window.scrollTo(0, document.body.scrollHeight / 2);")
|
||||
|
||||
print("[HOOK] Scrolling completed for lazy-loaded content")
|
||||
return page
|
||||
""",
|
||||
|
||||
"before_return_html": """
|
||||
async def hook(page, context, html, **kwargs):
|
||||
# Hook called before returning the HTML content
|
||||
print(f"[HOOK] before_return_html - HTML length: {len(html)} characters")
|
||||
|
||||
# Log some page metrics
|
||||
metrics = await page.evaluate('''() => {
|
||||
return {
|
||||
images: document.images.length,
|
||||
links: document.links.length,
|
||||
scripts: document.scripts.length
|
||||
}
|
||||
}''')
|
||||
|
||||
print(f"[HOOK] Page metrics - Images: {metrics['images']}, Links: {metrics['links']}, Scripts: {metrics['scripts']}")
|
||||
|
||||
return page
|
||||
"""
|
||||
}
|
||||
|
||||
# Create request payload
|
||||
payload = {
|
||||
"urls": ["https://httpbin.org/html"],
|
||||
"hooks": {
|
||||
"code": hooks_code,
|
||||
"timeout": 30
|
||||
},
|
||||
"crawler_config": {
|
||||
"js_code": "window.scrollTo(0, document.body.scrollHeight);",
|
||||
"wait_for": "body",
|
||||
"cache_mode": "bypass"
|
||||
}
|
||||
}
|
||||
|
||||
print("\nSending request with all 8 hooks...")
|
||||
start_time = time.time()
|
||||
|
||||
response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
|
||||
|
||||
elapsed_time = time.time() - start_time
|
||||
print(f"Request completed in {elapsed_time:.2f} seconds")
|
||||
|
||||
if response.status_code == 200:
|
||||
data = response.json()
|
||||
print("\n✅ Request successful!")
|
||||
|
||||
# Check hooks execution
|
||||
if 'hooks' in data:
|
||||
hooks_info = data['hooks']
|
||||
print("\n📊 Hooks Execution Summary:")
|
||||
print(f" Status: {hooks_info['status']['status']}")
|
||||
print(f" Attached hooks: {len(hooks_info['status']['attached_hooks'])}")
|
||||
|
||||
for hook_name in hooks_info['status']['attached_hooks']:
|
||||
print(f" ✓ {hook_name}")
|
||||
|
||||
if 'summary' in hooks_info:
|
||||
summary = hooks_info['summary']
|
||||
print(f"\n📈 Execution Statistics:")
|
||||
print(f" Total executions: {summary['total_executions']}")
|
||||
print(f" Successful: {summary['successful']}")
|
||||
print(f" Failed: {summary['failed']}")
|
||||
print(f" Timed out: {summary['timed_out']}")
|
||||
print(f" Success rate: {summary['success_rate']:.1f}%")
|
||||
|
||||
if hooks_info.get('execution_log'):
|
||||
print(f"\n📝 Execution Log:")
|
||||
for log_entry in hooks_info['execution_log']:
|
||||
status_icon = "✅" if log_entry['status'] == 'success' else "❌"
|
||||
exec_time = log_entry.get('execution_time', 0)
|
||||
print(f" {status_icon} {log_entry['hook_point']}: {exec_time:.3f}s")
|
||||
|
||||
# Check crawl results
|
||||
if 'results' in data and len(data['results']) > 0:
|
||||
print(f"\n📄 Crawl Results:")
|
||||
for result in data['results']:
|
||||
print(f" URL: {result['url']}")
|
||||
print(f" Success: {result.get('success', False)}")
|
||||
if result.get('html'):
|
||||
print(f" HTML length: {len(result['html'])} characters")
|
||||
|
||||
else:
|
||||
print(f"❌ Error: {response.status_code}")
|
||||
try:
|
||||
error_data = response.json()
|
||||
print(f"Error details: {json.dumps(error_data, indent=2)}")
|
||||
except:
|
||||
print(f"Error text: {response.text[:500]}")
|
||||
|
||||
|
||||
def test_authentication_flow():
|
||||
"""Test a complete authentication flow with multiple hooks"""
|
||||
print("\n" + "=" * 70)
|
||||
print("Testing: Authentication Flow with Multiple Hooks")
|
||||
print("=" * 70)
|
||||
|
||||
hooks_code = {
|
||||
"on_page_context_created": """
|
||||
async def hook(page, context, **kwargs):
|
||||
print("[HOOK] Setting up authentication context")
|
||||
|
||||
# Add authentication cookies
|
||||
await context.add_cookies([
|
||||
{
|
||||
"name": "auth_token",
|
||||
"value": "fake_jwt_token_here",
|
||||
"domain": ".httpbin.org",
|
||||
"path": "/",
|
||||
"httpOnly": True,
|
||||
"secure": True
|
||||
}
|
||||
])
|
||||
|
||||
# Set localStorage items (for SPA authentication)
|
||||
await page.evaluate('''
|
||||
localStorage.setItem('user_id', '12345');
|
||||
localStorage.setItem('auth_time', new Date().toISOString());
|
||||
''')
|
||||
|
||||
return page
|
||||
""",
|
||||
|
||||
"before_goto": """
|
||||
async def hook(page, context, url, **kwargs):
|
||||
print(f"[HOOK] Adding auth headers for {url}")
|
||||
|
||||
# Add Authorization header
|
||||
import base64
|
||||
credentials = base64.b64encode(b"user:passwd").decode('ascii')
|
||||
|
||||
await page.set_extra_http_headers({
|
||||
'Authorization': f'Basic {credentials}',
|
||||
'X-API-Key': 'test-api-key-123'
|
||||
})
|
||||
|
||||
return page
|
||||
"""
|
||||
}
|
||||
|
||||
payload = {
|
||||
"urls": [
|
||||
"https://httpbin.org/basic-auth/user/passwd"
|
||||
],
|
||||
"hooks": {
|
||||
"code": hooks_code,
|
||||
"timeout": 15
|
||||
}
|
||||
}
|
||||
|
||||
print("\nTesting authentication with httpbin endpoints...")
|
||||
response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
|
||||
|
||||
if response.status_code == 200:
|
||||
data = response.json()
|
||||
print("✅ Authentication test completed")
|
||||
|
||||
if 'results' in data:
|
||||
for i, result in enumerate(data['results']):
|
||||
print(f"\n URL {i+1}: {result['url']}")
|
||||
if result.get('success'):
|
||||
# Check for authentication success indicators
|
||||
html_content = result.get('html', '')
|
||||
if '"authenticated"' in html_content and 'true' in html_content:
|
||||
print(" ✅ Authentication successful! Basic auth worked.")
|
||||
else:
|
||||
print(" ⚠️ Page loaded but auth status unclear")
|
||||
else:
|
||||
print(f" ❌ Failed: {result.get('error_message', 'Unknown error')}")
|
||||
else:
|
||||
print(f"❌ Error: {response.status_code}")
|
||||
|
||||
|
||||
def test_performance_optimization_hooks():
|
||||
"""Test hooks for performance optimization"""
|
||||
print("\n" + "=" * 70)
|
||||
print("Testing: Performance Optimization Hooks")
|
||||
print("=" * 70)
|
||||
|
||||
hooks_code = {
|
||||
"on_page_context_created": """
|
||||
async def hook(page, context, **kwargs):
|
||||
print("[HOOK] Optimizing page for performance")
|
||||
|
||||
# Block resource-heavy content
|
||||
await context.route("**/*.{png,jpg,jpeg,gif,webp,svg,ico}", lambda route: route.abort())
|
||||
await context.route("**/*.{woff,woff2,ttf,otf}", lambda route: route.abort())
|
||||
await context.route("**/*.{mp4,webm,ogg,mp3,wav}", lambda route: route.abort())
|
||||
await context.route("**/googletagmanager.com/*", lambda route: route.abort())
|
||||
await context.route("**/google-analytics.com/*", lambda route: route.abort())
|
||||
await context.route("**/doubleclick.net/*", lambda route: route.abort())
|
||||
await context.route("**/facebook.com/*", lambda route: route.abort())
|
||||
|
||||
# Disable animations and transitions
|
||||
await page.add_style_tag(content='''
|
||||
*, *::before, *::after {
|
||||
animation-duration: 0s !important;
|
||||
animation-delay: 0s !important;
|
||||
transition-duration: 0s !important;
|
||||
transition-delay: 0s !important;
|
||||
}
|
||||
''')
|
||||
|
||||
print("[HOOK] Performance optimizations applied")
|
||||
return page
|
||||
""",
|
||||
|
||||
"before_retrieve_html": """
|
||||
async def hook(page, context, **kwargs):
|
||||
print("[HOOK] Removing unnecessary elements before extraction")
|
||||
|
||||
# Remove ads, popups, and other unnecessary elements
|
||||
await page.evaluate('''() => {
|
||||
// Remove common ad containers
|
||||
const adSelectors = [
|
||||
'.ad', '.ads', '.advertisement', '[id*="ad-"]', '[class*="ad-"]',
|
||||
'.popup', '.modal', '.overlay', '.cookie-banner', '.newsletter-signup'
|
||||
];
|
||||
|
||||
adSelectors.forEach(selector => {
|
||||
document.querySelectorAll(selector).forEach(el => el.remove());
|
||||
});
|
||||
|
||||
// Remove script tags to clean up HTML
|
||||
document.querySelectorAll('script').forEach(el => el.remove());
|
||||
|
||||
// Remove style tags we don't need
|
||||
document.querySelectorAll('style').forEach(el => el.remove());
|
||||
}''')
|
||||
|
||||
return page
|
||||
"""
|
||||
}
|
||||
|
||||
payload = {
|
||||
"urls": ["https://httpbin.org/html"],
|
||||
"hooks": {
|
||||
"code": hooks_code,
|
||||
"timeout": 10
|
||||
}
|
||||
}
|
||||
|
||||
print("\nTesting performance optimization hooks...")
|
||||
start_time = time.time()
|
||||
|
||||
response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
|
||||
|
||||
elapsed_time = time.time() - start_time
|
||||
print(f"Request completed in {elapsed_time:.2f} seconds")
|
||||
|
||||
if response.status_code == 200:
|
||||
data = response.json()
|
||||
print("✅ Performance optimization test completed")
|
||||
|
||||
if 'results' in data and len(data['results']) > 0:
|
||||
result = data['results'][0]
|
||||
if result.get('html'):
|
||||
print(f" HTML size: {len(result['html'])} characters")
|
||||
print(" Resources blocked, ads removed, animations disabled")
|
||||
else:
|
||||
print(f"❌ Error: {response.status_code}")
|
||||
|
||||
|
||||
def test_content_extraction_hooks():
|
||||
"""Test hooks for intelligent content extraction"""
|
||||
print("\n" + "=" * 70)
|
||||
print("Testing: Content Extraction Hooks")
|
||||
print("=" * 70)
|
||||
|
||||
hooks_code = {
|
||||
"after_goto": """
|
||||
async def hook(page, context, url, response, **kwargs):
|
||||
print(f"[HOOK] Waiting for dynamic content on {url}")
|
||||
|
||||
# Wait for any lazy-loaded content
|
||||
await page.wait_for_timeout(2000)
|
||||
|
||||
# Trigger any "Load More" buttons
|
||||
try:
|
||||
load_more = await page.query_selector('[class*="load-more"], [class*="show-more"], button:has-text("Load More")')
|
||||
if load_more:
|
||||
await load_more.click()
|
||||
await page.wait_for_timeout(1000)
|
||||
print("[HOOK] Clicked 'Load More' button")
|
||||
except:
|
||||
pass
|
||||
|
||||
return page
|
||||
""",
|
||||
|
||||
"before_retrieve_html": """
|
||||
async def hook(page, context, **kwargs):
|
||||
print("[HOOK] Extracting structured data")
|
||||
|
||||
# Extract metadata
|
||||
metadata = await page.evaluate('''() => {
|
||||
const getMeta = (name) => {
|
||||
const element = document.querySelector(`meta[name="${name}"], meta[property="${name}"]`);
|
||||
return element ? element.getAttribute('content') : null;
|
||||
};
|
||||
|
||||
return {
|
||||
title: document.title,
|
||||
description: getMeta('description') || getMeta('og:description'),
|
||||
author: getMeta('author'),
|
||||
keywords: getMeta('keywords'),
|
||||
ogTitle: getMeta('og:title'),
|
||||
ogImage: getMeta('og:image'),
|
||||
canonical: document.querySelector('link[rel="canonical"]')?.href,
|
||||
jsonLd: Array.from(document.querySelectorAll('script[type="application/ld+json"]'))
|
||||
.map(el => el.textContent).filter(Boolean)
|
||||
};
|
||||
}''')
|
||||
|
||||
print(f"[HOOK] Extracted metadata: {json.dumps(metadata, indent=2)}")
|
||||
|
||||
# Infinite scroll handling
|
||||
for i in range(3):
|
||||
await page.evaluate("window.scrollTo(0, document.body.scrollHeight);")
|
||||
await page.wait_for_timeout(1000)
|
||||
print(f"[HOOK] Scroll iteration {i+1}/3")
|
||||
|
||||
return page
|
||||
"""
|
||||
}
|
||||
|
||||
payload = {
|
||||
"urls": ["https://httpbin.org/html", "https://httpbin.org/json"],
|
||||
"hooks": {
|
||||
"code": hooks_code,
|
||||
"timeout": 20
|
||||
}
|
||||
}
|
||||
|
||||
print("\nTesting content extraction hooks...")
|
||||
response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
|
||||
|
||||
if response.status_code == 200:
|
||||
data = response.json()
|
||||
print("✅ Content extraction test completed")
|
||||
|
||||
if 'hooks' in data and 'summary' in data['hooks']:
|
||||
summary = data['hooks']['summary']
|
||||
print(f" Hooks executed: {summary['successful']}/{summary['total_executions']}")
|
||||
|
||||
if 'results' in data:
|
||||
for result in data['results']:
|
||||
print(f"\n URL: {result['url']}")
|
||||
print(f" Success: {result.get('success', False)}")
|
||||
else:
|
||||
print(f"❌ Error: {response.status_code}")
|
||||
|
||||
|
||||
def main():
|
||||
"""Run comprehensive hook tests"""
|
||||
print("🔧 Crawl4AI Docker API - Comprehensive Hooks Testing")
|
||||
print("Based on docs/examples/hooks_example.py")
|
||||
print("=" * 70)
|
||||
|
||||
tests = [
|
||||
("All Hooks Demo", test_all_hooks_demo),
|
||||
("Authentication Flow", test_authentication_flow),
|
||||
("Performance Optimization", test_performance_optimization_hooks),
|
||||
("Content Extraction", test_content_extraction_hooks),
|
||||
]
|
||||
|
||||
for i, (name, test_func) in enumerate(tests, 1):
|
||||
print(f"\n📌 Test {i}/{len(tests)}: {name}")
|
||||
try:
|
||||
test_func()
|
||||
print(f"✅ {name} completed")
|
||||
except Exception as e:
|
||||
print(f"❌ {name} failed: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
|
||||
print("\n" + "=" * 70)
|
||||
print("🎉 All comprehensive hook tests completed!")
|
||||
print("=" * 70)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
193
tests/docker/test_hooks_utility.py
Normal file
193
tests/docker/test_hooks_utility.py
Normal file
@@ -0,0 +1,193 @@
|
||||
"""
|
||||
Test script demonstrating the hooks_to_string utility and Docker client integration.
|
||||
"""
|
||||
import asyncio
|
||||
from crawl4ai import Crawl4aiDockerClient, hooks_to_string
|
||||
|
||||
|
||||
# Define hook functions as regular Python functions
|
||||
async def auth_hook(page, context, **kwargs):
|
||||
"""Add authentication cookies."""
|
||||
await context.add_cookies([{
|
||||
'name': 'test_cookie',
|
||||
'value': 'test_value',
|
||||
'domain': '.httpbin.org',
|
||||
'path': '/'
|
||||
}])
|
||||
return page
|
||||
|
||||
|
||||
async def scroll_hook(page, context, **kwargs):
|
||||
"""Scroll to load lazy content."""
|
||||
await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
|
||||
await page.wait_for_timeout(1000)
|
||||
return page
|
||||
|
||||
|
||||
async def viewport_hook(page, context, **kwargs):
|
||||
"""Set custom viewport."""
|
||||
await page.set_viewport_size({"width": 1920, "height": 1080})
|
||||
return page
|
||||
|
||||
|
||||
async def test_hooks_utility():
|
||||
"""Test the hooks_to_string utility function."""
|
||||
print("=" * 60)
|
||||
print("Testing hooks_to_string utility")
|
||||
print("=" * 60)
|
||||
|
||||
# Create hooks dictionary with function objects
|
||||
hooks_dict = {
|
||||
"on_page_context_created": auth_hook,
|
||||
"before_retrieve_html": scroll_hook
|
||||
}
|
||||
|
||||
# Convert to string format
|
||||
hooks_string = hooks_to_string(hooks_dict)
|
||||
|
||||
print("\n✓ Successfully converted function objects to strings")
|
||||
print(f"\n✓ Converted {len(hooks_string)} hooks:")
|
||||
for hook_name in hooks_string.keys():
|
||||
print(f" - {hook_name}")
|
||||
|
||||
print("\n✓ Preview of converted hook:")
|
||||
print("-" * 60)
|
||||
print(hooks_string["on_page_context_created"][:200] + "...")
|
||||
print("-" * 60)
|
||||
|
||||
return hooks_string
|
||||
|
||||
|
||||
async def test_docker_client_with_functions():
|
||||
"""Test Docker client with function objects (automatic conversion)."""
|
||||
print("\n" + "=" * 60)
|
||||
print("Testing Docker Client with Function Objects")
|
||||
print("=" * 60)
|
||||
|
||||
# Note: This requires a running Crawl4AI Docker server
|
||||
# Uncomment the following to test with actual server:
|
||||
|
||||
async with Crawl4aiDockerClient(base_url="http://localhost:11234", verbose=True) as client:
|
||||
# Pass function objects directly - they'll be converted automatically
|
||||
result = await client.crawl(
|
||||
["https://httpbin.org/html"],
|
||||
hooks={
|
||||
"on_page_context_created": auth_hook,
|
||||
"before_retrieve_html": scroll_hook
|
||||
},
|
||||
hooks_timeout=30
|
||||
)
|
||||
print(f"\n✓ Crawl successful: {result.success}")
|
||||
print(f"✓ URL: {result.url}")
|
||||
|
||||
print("\n✓ Docker client accepts function objects directly")
|
||||
print("✓ Automatic conversion happens internally")
|
||||
print("✓ No manual string formatting needed!")
|
||||
|
||||
|
||||
async def test_docker_client_with_strings():
|
||||
"""Test Docker client with pre-converted strings."""
|
||||
print("\n" + "=" * 60)
|
||||
print("Testing Docker Client with String Hooks")
|
||||
print("=" * 60)
|
||||
|
||||
# Convert hooks to strings first
|
||||
hooks_dict = {
|
||||
"on_page_context_created": viewport_hook,
|
||||
"before_retrieve_html": scroll_hook
|
||||
}
|
||||
hooks_string = hooks_to_string(hooks_dict)
|
||||
|
||||
# Note: This requires a running Crawl4AI Docker server
|
||||
# Uncomment the following to test with actual server:
|
||||
|
||||
async with Crawl4aiDockerClient(base_url="http://localhost:11234", verbose=True) as client:
|
||||
# Pass string hooks - they'll be used as-is
|
||||
result = await client.crawl(
|
||||
["https://httpbin.org/html"],
|
||||
hooks=hooks_string,
|
||||
hooks_timeout=30
|
||||
)
|
||||
print(f"\n✓ Crawl successful: {result.success}")
|
||||
|
||||
print("\n✓ Docker client also accepts pre-converted strings")
|
||||
print("✓ Backward compatible with existing code")
|
||||
|
||||
|
||||
async def show_usage_patterns():
|
||||
"""Show different usage patterns."""
|
||||
print("\n" + "=" * 60)
|
||||
print("Usage Patterns")
|
||||
print("=" * 60)
|
||||
|
||||
print("\n1. Direct function usage (simplest):")
|
||||
print("-" * 60)
|
||||
print("""
|
||||
async def my_hook(page, context, **kwargs):
|
||||
await page.set_viewport_size({"width": 1920, "height": 1080})
|
||||
return page
|
||||
|
||||
result = await client.crawl(
|
||||
["https://example.com"],
|
||||
hooks={"on_page_context_created": my_hook}
|
||||
)
|
||||
""")
|
||||
|
||||
print("\n2. Convert then use:")
|
||||
print("-" * 60)
|
||||
print("""
|
||||
hooks_dict = {"on_page_context_created": my_hook}
|
||||
hooks_string = hooks_to_string(hooks_dict)
|
||||
|
||||
result = await client.crawl(
|
||||
["https://example.com"],
|
||||
hooks=hooks_string
|
||||
)
|
||||
""")
|
||||
|
||||
print("\n3. Manual string (backward compatible):")
|
||||
print("-" * 60)
|
||||
print("""
|
||||
hooks_string = {
|
||||
"on_page_context_created": '''
|
||||
async def hook(page, context, **kwargs):
|
||||
await page.set_viewport_size({"width": 1920, "height": 1080})
|
||||
return page
|
||||
'''
|
||||
}
|
||||
|
||||
result = await client.crawl(
|
||||
["https://example.com"],
|
||||
hooks=hooks_string
|
||||
)
|
||||
""")
|
||||
|
||||
|
||||
async def main():
|
||||
"""Run all tests."""
|
||||
print("\n🚀 Crawl4AI Hooks Utility Test Suite\n")
|
||||
|
||||
# Test the utility function
|
||||
# await test_hooks_utility()
|
||||
|
||||
# Show usage with Docker client
|
||||
# await test_docker_client_with_functions()
|
||||
await test_docker_client_with_strings()
|
||||
|
||||
# Show different patterns
|
||||
# await show_usage_patterns()
|
||||
|
||||
# print("\n" + "=" * 60)
|
||||
# print("✓ All tests completed successfully!")
|
||||
# print("=" * 60)
|
||||
# print("\nKey Benefits:")
|
||||
# print(" • Write hooks as regular Python functions")
|
||||
# print(" • IDE support with autocomplete and type checking")
|
||||
# print(" • Automatic conversion to API format")
|
||||
# print(" • Backward compatible with string hooks")
|
||||
# print(" • Same utility used everywhere")
|
||||
# print("\n")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
349
tests/docker/test_llm_params.py
Executable file
349
tests/docker/test_llm_params.py
Executable file
@@ -0,0 +1,349 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Test script for LLM temperature and base_url parameters in Crawl4AI Docker API.
|
||||
This demonstrates the new hierarchical configuration system:
|
||||
1. Request-level parameters (highest priority)
|
||||
2. Provider-specific environment variables
|
||||
3. Global environment variables
|
||||
4. System defaults (lowest priority)
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
import httpx
|
||||
import json
|
||||
import os
|
||||
from rich.console import Console
|
||||
from rich.panel import Panel
|
||||
from rich.syntax import Syntax
|
||||
from rich.table import Table
|
||||
|
||||
|
||||
console = Console()
|
||||
|
||||
# Configuration
|
||||
BASE_URL = "http://localhost:11235" # Docker API endpoint
|
||||
TEST_URL = "https://httpbin.org/html" # Simple test page
|
||||
|
||||
# --- Helper Functions ---
|
||||
|
||||
async def check_server_health(client: httpx.AsyncClient) -> bool:
|
||||
"""Check if the server is healthy."""
|
||||
console.print("[bold cyan]Checking server health...[/]", end="")
|
||||
try:
|
||||
response = await client.get("/health", timeout=10.0)
|
||||
response.raise_for_status()
|
||||
console.print(" [bold green]✓ Server is healthy![/]")
|
||||
return True
|
||||
except Exception as e:
|
||||
console.print(f"\n[bold red]✗ Server health check failed: {e}[/]")
|
||||
console.print(f"Is the server running at {BASE_URL}?")
|
||||
return False
|
||||
|
||||
def print_request(endpoint: str, payload: dict, title: str = "Request"):
|
||||
"""Pretty print the request."""
|
||||
syntax = Syntax(json.dumps(payload, indent=2), "json", theme="monokai")
|
||||
console.print(Panel.fit(
|
||||
f"[cyan]POST {endpoint}[/cyan]\n{syntax}",
|
||||
title=f"[bold blue]{title}[/]",
|
||||
border_style="blue"
|
||||
))
|
||||
|
||||
def print_response(response: dict, title: str = "Response"):
|
||||
"""Pretty print relevant parts of the response."""
|
||||
# Extract only the relevant parts
|
||||
relevant = {}
|
||||
if "markdown" in response:
|
||||
relevant["markdown"] = response["markdown"][:200] + "..." if len(response.get("markdown", "")) > 200 else response.get("markdown", "")
|
||||
if "success" in response:
|
||||
relevant["success"] = response["success"]
|
||||
if "url" in response:
|
||||
relevant["url"] = response["url"]
|
||||
if "filter" in response:
|
||||
relevant["filter"] = response["filter"]
|
||||
|
||||
console.print(Panel.fit(
|
||||
Syntax(json.dumps(relevant, indent=2), "json", theme="monokai"),
|
||||
title=f"[bold green]{title}[/]",
|
||||
border_style="green"
|
||||
))
|
||||
|
||||
# --- Test Functions ---
|
||||
|
||||
async def test_default_no_params(client: httpx.AsyncClient):
|
||||
"""Test 1: No temperature or base_url specified - uses defaults"""
|
||||
console.rule("[bold yellow]Test 1: Default Configuration (No Parameters)[/]")
|
||||
|
||||
payload = {
|
||||
"url": TEST_URL,
|
||||
"f": "llm",
|
||||
"q": "What is the main heading of this page? Answer in exactly 5 words."
|
||||
}
|
||||
|
||||
print_request("/md", payload, "Request without temperature/base_url")
|
||||
|
||||
try:
|
||||
response = await client.post("/md", json=payload, timeout=30.0)
|
||||
response.raise_for_status()
|
||||
data = response.json()
|
||||
print_response(data, "Response (using system defaults)")
|
||||
console.print("[dim]→ This used system defaults or environment variables if set[/]")
|
||||
except Exception as e:
|
||||
console.print(f"[red]Error: {e}[/]")
|
||||
|
||||
async def test_request_temperature(client: httpx.AsyncClient):
|
||||
"""Test 2: Request-level temperature (highest priority)"""
|
||||
console.rule("[bold yellow]Test 2: Request-Level Temperature[/]")
|
||||
|
||||
# Test with low temperature (more focused)
|
||||
payload_low = {
|
||||
"url": TEST_URL,
|
||||
"f": "llm",
|
||||
"q": "What is the main heading? Be creative and poetic.",
|
||||
"temperature": 0.1 # Very low - should be less creative
|
||||
}
|
||||
|
||||
print_request("/md", payload_low, "Low Temperature (0.1)")
|
||||
|
||||
try:
|
||||
response = await client.post("/md", json=payload_low, timeout=30.0)
|
||||
response.raise_for_status()
|
||||
data_low = response.json()
|
||||
print_response(data_low, "Response with Low Temperature")
|
||||
console.print("[dim]→ Low temperature (0.1) should produce focused, less creative output[/]")
|
||||
except Exception as e:
|
||||
console.print(f"[red]Error: {e}[/]")
|
||||
|
||||
console.print()
|
||||
|
||||
# Test with high temperature (more creative)
|
||||
payload_high = {
|
||||
"url": TEST_URL,
|
||||
"f": "llm",
|
||||
"q": "What is the main heading? Be creative and poetic.",
|
||||
"temperature": 1.5 # High - should be more creative
|
||||
}
|
||||
|
||||
print_request("/md", payload_high, "High Temperature (1.5)")
|
||||
|
||||
try:
|
||||
response = await client.post("/md", json=payload_high, timeout=30.0)
|
||||
response.raise_for_status()
|
||||
data_high = response.json()
|
||||
print_response(data_high, "Response with High Temperature")
|
||||
console.print("[dim]→ High temperature (1.5) should produce more creative, varied output[/]")
|
||||
except Exception as e:
|
||||
console.print(f"[red]Error: {e}[/]")
|
||||
|
||||
async def test_provider_override(client: httpx.AsyncClient):
|
||||
"""Test 3: Provider override with temperature"""
|
||||
console.rule("[bold yellow]Test 3: Provider Override with Temperature[/]")
|
||||
|
||||
provider = "gemini/gemini-2.5-flash-lite"
|
||||
payload = {
|
||||
"url": TEST_URL,
|
||||
"f": "llm",
|
||||
"q": "Summarize this page in one sentence.",
|
||||
"provider": provider, # Explicitly set provider
|
||||
"temperature": 0.7
|
||||
}
|
||||
|
||||
print_request("/md", payload, "Provider + Temperature Override")
|
||||
|
||||
try:
|
||||
response = await client.post("/md", json=payload, timeout=30.0)
|
||||
response.raise_for_status()
|
||||
data = response.json()
|
||||
print_response(data, "Response with Provider Override")
|
||||
console.print(f"[dim]→ This explicitly uses {provider} with temperature 0.7[/]")
|
||||
except Exception as e:
|
||||
console.print(f"[red]Error: {e}[/]")
|
||||
|
||||
async def test_base_url_custom(client: httpx.AsyncClient):
|
||||
"""Test 4: Custom base_url (will fail unless you have a custom endpoint)"""
|
||||
console.rule("[bold yellow]Test 4: Custom Base URL (Demo Only)[/]")
|
||||
|
||||
payload = {
|
||||
"url": TEST_URL,
|
||||
"f": "llm",
|
||||
"q": "What is this page about?",
|
||||
"base_url": "https://api.custom-endpoint.com/v1", # Custom endpoint
|
||||
"temperature": 0.5
|
||||
}
|
||||
|
||||
print_request("/md", payload, "Custom Base URL Request")
|
||||
console.print("[yellow]Note: This will fail unless you have a custom endpoint set up[/]")
|
||||
|
||||
try:
|
||||
response = await client.post("/md", json=payload, timeout=10.0)
|
||||
response.raise_for_status()
|
||||
data = response.json()
|
||||
print_response(data, "Response from Custom Endpoint")
|
||||
except httpx.HTTPStatusError as e:
|
||||
console.print(f"[yellow]Expected failure (no custom endpoint): Status {e.response.status_code}[/]")
|
||||
except Exception as e:
|
||||
console.print(f"[yellow]Expected error: {e}[/]")
|
||||
|
||||
async def test_llm_job_endpoint(client: httpx.AsyncClient):
|
||||
"""Test 5: Test the /llm/job endpoint with temperature and base_url"""
|
||||
console.rule("[bold yellow]Test 5: LLM Job Endpoint with Parameters[/]")
|
||||
|
||||
payload = {
|
||||
"url": TEST_URL,
|
||||
"q": "Extract the main title and any key information",
|
||||
"temperature": 0.3,
|
||||
# "base_url": "https://api.openai.com/v1" # Optional
|
||||
}
|
||||
|
||||
print_request("/llm/job", payload, "LLM Job with Temperature")
|
||||
|
||||
try:
|
||||
# Submit the job
|
||||
response = await client.post("/llm/job", json=payload, timeout=30.0)
|
||||
response.raise_for_status()
|
||||
job_data = response.json()
|
||||
|
||||
if "task_id" in job_data:
|
||||
task_id = job_data["task_id"]
|
||||
console.print(f"[green]Job created with task_id: {task_id}[/]")
|
||||
|
||||
# Poll for result (simplified - in production use proper polling)
|
||||
await asyncio.sleep(3)
|
||||
|
||||
status_response = await client.get(f"/llm/job/{task_id}")
|
||||
status_data = status_response.json()
|
||||
|
||||
if status_data.get("status") == "completed":
|
||||
console.print("[green]Job completed successfully![/]")
|
||||
if "result" in status_data:
|
||||
console.print(Panel.fit(
|
||||
Syntax(json.dumps(status_data["result"], indent=2), "json", theme="monokai"),
|
||||
title="Extraction Result",
|
||||
border_style="green"
|
||||
))
|
||||
else:
|
||||
console.print(f"[yellow]Job status: {status_data.get('status', 'unknown')}[/]")
|
||||
else:
|
||||
console.print(f"[red]Unexpected response: {job_data}[/]")
|
||||
|
||||
except Exception as e:
|
||||
console.print(f"[red]Error: {e}[/]")
|
||||
|
||||
|
||||
async def test_llm_endpoint(client: httpx.AsyncClient):
|
||||
"""
|
||||
Quick QA round-trip with /llm.
|
||||
Asks a trivial question against SIMPLE_URL just to show wiring.
|
||||
"""
|
||||
import time
|
||||
import urllib.parse
|
||||
|
||||
page_url = "https://kidocode.com"
|
||||
question = "What is the title of this page?"
|
||||
|
||||
enc = urllib.parse.quote_plus(page_url, safe="")
|
||||
console.print(f"GET /llm/{enc}?q={question}")
|
||||
|
||||
try:
|
||||
t0 = time.time()
|
||||
resp = await client.get(f"/llm/{enc}", params={"q": question})
|
||||
dt = time.time() - t0
|
||||
console.print(
|
||||
f"Response Status: [bold {'green' if resp.is_success else 'red'}]{resp.status_code}[/] (took {dt:.2f}s)")
|
||||
resp.raise_for_status()
|
||||
answer = resp.json().get("answer", "")
|
||||
console.print(Panel(answer or "No answer returned",
|
||||
title="LLM answer", border_style="magenta", expand=False))
|
||||
except Exception as e:
|
||||
console.print(f"[bold red]Error hitting /llm:[/] {e}")
|
||||
|
||||
|
||||
async def show_environment_info():
|
||||
"""Display current environment configuration"""
|
||||
console.rule("[bold cyan]Current Environment Configuration[/]")
|
||||
|
||||
table = Table(title="LLM Environment Variables", show_header=True, header_style="bold magenta")
|
||||
table.add_column("Variable", style="cyan", width=30)
|
||||
table.add_column("Value", style="yellow")
|
||||
table.add_column("Description", style="dim")
|
||||
|
||||
env_vars = [
|
||||
("LLM_PROVIDER", "Global default provider"),
|
||||
("LLM_TEMPERATURE", "Global default temperature"),
|
||||
("LLM_BASE_URL", "Global custom API endpoint"),
|
||||
("OPENAI_API_KEY", "OpenAI API key"),
|
||||
("OPENAI_TEMPERATURE", "OpenAI-specific temperature"),
|
||||
("OPENAI_BASE_URL", "OpenAI-specific endpoint"),
|
||||
("ANTHROPIC_API_KEY", "Anthropic API key"),
|
||||
("ANTHROPIC_TEMPERATURE", "Anthropic-specific temperature"),
|
||||
("GROQ_API_KEY", "Groq API key"),
|
||||
("GROQ_TEMPERATURE", "Groq-specific temperature"),
|
||||
]
|
||||
|
||||
for var, desc in env_vars:
|
||||
value = os.environ.get(var, "[not set]")
|
||||
if "API_KEY" in var and value != "[not set]":
|
||||
# Mask API keys for security
|
||||
value = value[:10] + "..." if len(value) > 10 else "***"
|
||||
table.add_row(var, value, desc)
|
||||
|
||||
console.print(table)
|
||||
console.print()
|
||||
|
||||
# --- Main Test Runner ---
|
||||
|
||||
async def main():
|
||||
"""Run all tests"""
|
||||
console.print(Panel.fit(
|
||||
"[bold cyan]Crawl4AI LLM Parameters Test Suite[/]\n" +
|
||||
"Testing temperature and base_url configuration hierarchy",
|
||||
border_style="cyan"
|
||||
))
|
||||
|
||||
# Show current environment
|
||||
# await show_environment_info()
|
||||
|
||||
# Create HTTP client
|
||||
async with httpx.AsyncClient(base_url=BASE_URL, timeout=60.0) as client:
|
||||
# Check server health
|
||||
if not await check_server_health(client):
|
||||
console.print("[red]Server is not available. Please ensure the Docker container is running.[/]")
|
||||
return
|
||||
|
||||
# Run tests
|
||||
tests = [
|
||||
("Default Configuration", test_default_no_params),
|
||||
("Request Temperature", test_request_temperature),
|
||||
("Provider Override", test_provider_override),
|
||||
("Custom Base URL", test_base_url_custom),
|
||||
("LLM Job Endpoint", test_llm_job_endpoint),
|
||||
("LLM Endpoint", test_llm_endpoint),
|
||||
]
|
||||
|
||||
for i, (name, test_func) in enumerate(tests, 1):
|
||||
if i > 1:
|
||||
console.print() # Add spacing between tests
|
||||
|
||||
try:
|
||||
await test_func(client)
|
||||
except Exception as e:
|
||||
console.print(f"[red]Test '{name}' failed with error: {e}[/]")
|
||||
console.print_exception(show_locals=False)
|
||||
|
||||
console.rule("[bold green]All Tests Complete![/]", style="green")
|
||||
|
||||
# Summary
|
||||
console.print("\n[bold cyan]Configuration Hierarchy Summary:[/]")
|
||||
console.print("1. [yellow]Request parameters[/] - Highest priority (temperature, base_url in API call)")
|
||||
console.print("2. [yellow]Provider-specific env[/] - e.g., OPENAI_TEMPERATURE, GROQ_BASE_URL")
|
||||
console.print("3. [yellow]Global env variables[/] - LLM_TEMPERATURE, LLM_BASE_URL")
|
||||
console.print("4. [yellow]System defaults[/] - Lowest priority (provider/litellm defaults)")
|
||||
console.print()
|
||||
|
||||
if __name__ == "__main__":
|
||||
try:
|
||||
asyncio.run(main())
|
||||
except KeyboardInterrupt:
|
||||
console.print("\n[yellow]Tests interrupted by user.[/]")
|
||||
except Exception as e:
|
||||
console.print(f"\n[bold red]An error occurred:[/]")
|
||||
console.print_exception(show_locals=False)
|
||||
@@ -143,7 +143,40 @@ class TestCrawlEndpoints:
|
||||
assert "<h1>Herman Melville - Moby-Dick</h1>" in result["html"]
|
||||
# We don't specify a markdown generator in this test, so don't make assumptions about markdown field
|
||||
# It might be null, missing, or populated depending on the server's default behavior
|
||||
async def test_crawl_with_stream_direct(self, async_client: httpx.AsyncClient):
|
||||
"""Test that /crawl endpoint handles stream=True directly without redirect."""
|
||||
payload = {
|
||||
"urls": [SIMPLE_HTML_URL],
|
||||
"browser_config": {
|
||||
"type": "BrowserConfig",
|
||||
"params": {
|
||||
"headless": True,
|
||||
}
|
||||
},
|
||||
"crawler_config": {
|
||||
"type": "CrawlerRunConfig",
|
||||
"params": {
|
||||
"stream": True, # Set stream to True for direct streaming
|
||||
"screenshot": False,
|
||||
"cache_mode": CacheMode.BYPASS.value
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
# Send a request to the /crawl endpoint - should handle streaming directly
|
||||
async with async_client.stream("POST", "/crawl", json=payload) as response:
|
||||
assert response.status_code == 200
|
||||
assert response.headers["content-type"] == "application/x-ndjson"
|
||||
assert response.headers.get("x-stream-status") == "active"
|
||||
|
||||
results = await process_streaming_response(response)
|
||||
|
||||
assert len(results) == 1
|
||||
result = results[0]
|
||||
await assert_crawl_result_structure(result)
|
||||
assert result["success"] is True
|
||||
assert result["url"] == SIMPLE_HTML_URL
|
||||
assert "<h1>Herman Melville - Moby-Dick</h1>" in result["html"]
|
||||
async def test_simple_crawl_single_url_streaming(self, async_client: httpx.AsyncClient):
|
||||
"""Test /crawl/stream with a single URL and simple config values."""
|
||||
payload = {
|
||||
@@ -635,7 +668,209 @@ class TestCrawlEndpoints:
|
||||
pytest.fail(f"LLM extracted content parsing or validation failed: {e}\nContent: {result['extracted_content']}")
|
||||
except Exception as e: # Catch any other unexpected error
|
||||
pytest.fail(f"An unexpected error occurred during LLM result processing: {e}\nContent: {result['extracted_content']}")
|
||||
|
||||
|
||||
|
||||
# 7. Error Handling Tests
|
||||
async def test_invalid_url_handling(self, async_client: httpx.AsyncClient):
|
||||
"""Test error handling for invalid URLs."""
|
||||
payload = {
|
||||
"urls": ["invalid-url", "https://nonexistent-domain-12345.com"],
|
||||
"browser_config": {"type": "BrowserConfig", "params": {"headless": True}},
|
||||
"crawler_config": {"type": "CrawlerRunConfig", "params": {"cache_mode": CacheMode.BYPASS.value}}
|
||||
}
|
||||
|
||||
response = await async_client.post("/crawl", json=payload)
|
||||
# Should return 200 with failed results, not 500
|
||||
print(f"Status code: {response.status_code}")
|
||||
print(f"Response: {response.text}")
|
||||
assert response.status_code == 500
|
||||
data = response.json()
|
||||
assert data["detail"].startswith("Crawl request failed:")
|
||||
|
||||
async def test_mixed_success_failure_urls(self, async_client: httpx.AsyncClient):
|
||||
"""Test handling of mixed success/failure URLs."""
|
||||
payload = {
|
||||
"urls": [
|
||||
SIMPLE_HTML_URL, # Should succeed
|
||||
"https://nonexistent-domain-12345.com", # Should fail
|
||||
"https://invalid-url-with-special-chars-!@#$%^&*()", # Should fail
|
||||
],
|
||||
"browser_config": {"type": "BrowserConfig", "params": {"headless": True}},
|
||||
"crawler_config": {
|
||||
"type": "CrawlerRunConfig",
|
||||
"params": {
|
||||
"cache_mode": CacheMode.BYPASS.value,
|
||||
"markdown_generator": {
|
||||
"type": "DefaultMarkdownGenerator",
|
||||
"params": {
|
||||
"content_filter": {
|
||||
"type": "PruningContentFilter",
|
||||
"params": {"threshold": 0.5}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
response = await async_client.post("/crawl", json=payload)
|
||||
assert response.status_code == 200
|
||||
data = response.json()
|
||||
assert data["success"] is True
|
||||
assert len(data["results"]) == 3
|
||||
|
||||
success_count = 0
|
||||
failure_count = 0
|
||||
|
||||
for result in data["results"]:
|
||||
if result["success"]:
|
||||
success_count += 1
|
||||
else:
|
||||
failure_count += 1
|
||||
assert "error_message" in result
|
||||
assert len(result["error_message"]) > 0
|
||||
|
||||
assert success_count >= 1 # At least one should succeed
|
||||
assert failure_count >= 1 # At least one should fail
|
||||
|
||||
async def test_streaming_mixed_urls(self, async_client: httpx.AsyncClient):
|
||||
"""Test streaming with mixed success/failure URLs."""
|
||||
payload = {
|
||||
"urls": [
|
||||
SIMPLE_HTML_URL, # Should succeed
|
||||
"https://nonexistent-domain-12345.com", # Should fail
|
||||
],
|
||||
"browser_config": {"type": "BrowserConfig", "params": {"headless": True}},
|
||||
"crawler_config": {
|
||||
"type": "CrawlerRunConfig",
|
||||
"params": {
|
||||
"stream": True,
|
||||
"cache_mode": CacheMode.BYPASS.value
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
async with async_client.stream("POST", "/crawl/stream", json=payload) as response:
|
||||
response.raise_for_status()
|
||||
results = await process_streaming_response(response)
|
||||
|
||||
assert len(results) == 2
|
||||
|
||||
success_count = 0
|
||||
failure_count = 0
|
||||
|
||||
for result in results:
|
||||
if result["success"]:
|
||||
success_count += 1
|
||||
assert result["url"] == SIMPLE_HTML_URL
|
||||
else:
|
||||
failure_count += 1
|
||||
assert "error_message" in result
|
||||
assert result["error_message"] is not None
|
||||
|
||||
assert success_count == 1
|
||||
assert failure_count == 1
|
||||
|
||||
async def test_markdown_endpoint_error_handling(self, async_client: httpx.AsyncClient):
|
||||
"""Test error handling for markdown endpoint."""
|
||||
# Test invalid URL
|
||||
invalid_payload = {"url": "invalid-url", "f": "fit"}
|
||||
response = await async_client.post("/md", json=invalid_payload)
|
||||
# Should return 400 for invalid URL format
|
||||
assert response.status_code == 400
|
||||
|
||||
# Test non-existent URL
|
||||
nonexistent_payload = {"url": "https://nonexistent-domain-12345.com", "f": "fit"}
|
||||
response = await async_client.post("/md", json=nonexistent_payload)
|
||||
# Should return 500 for crawl failure
|
||||
assert response.status_code == 500
|
||||
|
||||
async def test_html_endpoint_error_handling(self, async_client: httpx.AsyncClient):
|
||||
"""Test error handling for HTML endpoint."""
|
||||
# Test invalid URL
|
||||
invalid_payload = {"url": "invalid-url"}
|
||||
response = await async_client.post("/html", json=invalid_payload)
|
||||
# Should return 500 for crawl failure
|
||||
assert response.status_code == 500
|
||||
|
||||
async def test_screenshot_endpoint_error_handling(self, async_client: httpx.AsyncClient):
|
||||
"""Test error handling for screenshot endpoint."""
|
||||
# Test invalid URL
|
||||
invalid_payload = {"url": "invalid-url"}
|
||||
response = await async_client.post("/screenshot", json=invalid_payload)
|
||||
# Should return 500 for crawl failure
|
||||
assert response.status_code == 500
|
||||
|
||||
async def test_pdf_endpoint_error_handling(self, async_client: httpx.AsyncClient):
|
||||
"""Test error handling for PDF endpoint."""
|
||||
# Test invalid URL
|
||||
invalid_payload = {"url": "invalid-url"}
|
||||
response = await async_client.post("/pdf", json=invalid_payload)
|
||||
# Should return 500 for crawl failure
|
||||
assert response.status_code == 500
|
||||
|
||||
async def test_execute_js_endpoint_error_handling(self, async_client: httpx.AsyncClient):
|
||||
"""Test error handling for execute_js endpoint."""
|
||||
# Test invalid URL
|
||||
invalid_payload = {"url": "invalid-url", "scripts": ["return document.title;"]}
|
||||
response = await async_client.post("/execute_js", json=invalid_payload)
|
||||
# Should return 500 for crawl failure
|
||||
assert response.status_code == 500
|
||||
|
||||
async def test_llm_endpoint_error_handling(self, async_client: httpx.AsyncClient):
|
||||
"""Test error handling for LLM endpoint."""
|
||||
# Test missing query parameter
|
||||
response = await async_client.get("/llm/https://example.com")
|
||||
assert response.status_code == 422 # FastAPI validation error, not 400
|
||||
|
||||
# Test invalid URL
|
||||
response = await async_client.get("/llm/invalid-url?q=test")
|
||||
# Should return 500 for crawl failure
|
||||
assert response.status_code == 500
|
||||
|
||||
async def test_ask_endpoint_error_handling(self, async_client: httpx.AsyncClient):
|
||||
"""Test error handling for ask endpoint."""
|
||||
# Test invalid context_type
|
||||
response = await async_client.get("/ask?context_type=invalid")
|
||||
assert response.status_code == 422 # Validation error
|
||||
|
||||
# Test invalid score_ratio
|
||||
response = await async_client.get("/ask?score_ratio=2.0") # > 1.0
|
||||
assert response.status_code == 422 # Validation error
|
||||
|
||||
# Test invalid max_results
|
||||
response = await async_client.get("/ask?max_results=0") # < 1
|
||||
assert response.status_code == 422 # Validation error
|
||||
|
||||
async def test_config_dump_error_handling(self, async_client: httpx.AsyncClient):
|
||||
"""Test error handling for config dump endpoint."""
|
||||
# Test invalid code
|
||||
invalid_payload = {"code": "invalid_code"}
|
||||
response = await async_client.post("/config/dump", json=invalid_payload)
|
||||
assert response.status_code == 400
|
||||
|
||||
# Test nested function calls (not allowed)
|
||||
nested_payload = {"code": "CrawlerRunConfig(BrowserConfig())"}
|
||||
response = await async_client.post("/config/dump", json=nested_payload)
|
||||
assert response.status_code == 400
|
||||
|
||||
async def test_malformed_request_handling(self, async_client: httpx.AsyncClient):
|
||||
"""Test handling of malformed requests."""
|
||||
# Test missing required fields
|
||||
malformed_payload = {"urls": []} # Missing browser_config and crawler_config
|
||||
response = await async_client.post("/crawl", json=malformed_payload)
|
||||
print(f"Response: {response.text}")
|
||||
assert response.status_code == 422 # Validation error
|
||||
|
||||
# Test empty URLs list
|
||||
empty_urls_payload = {
|
||||
"urls": [],
|
||||
"browser_config": {"type": "BrowserConfig", "params": {}},
|
||||
"crawler_config": {"type": "CrawlerRunConfig", "params": {}}
|
||||
}
|
||||
response = await async_client.post("/crawl", json=empty_urls_payload)
|
||||
assert response.status_code == 422 # "At least one URL required"
|
||||
|
||||
if __name__ == "__main__":
|
||||
# Define arguments for pytest programmatically
|
||||
# -v: verbose output
|
||||
|
||||
Reference in New Issue
Block a user