- Implemented an interactive monitoring dashboard in `demo_monitoring_dashboard.py` for real-time statistics, profiling session management, and system resource monitoring.
- Created a quick test script `test_monitoring_quick.py` to verify the functionality of monitoring endpoints.
- Developed comprehensive integration tests in `test_monitoring_endpoints.py` covering health checks, statistics, profiling sessions, and real-time streaming.
- Added error handling and user-friendly output for better usability in the dashboard.
- Introduced HTTPCrawlRequest and HTTPCrawlRequestWithHooks models for HTTP-only crawling.
- Implemented /crawl/http and /crawl/http/stream endpoints for fast, lightweight crawling without browser rendering.
- Enhanced server.py to handle HTTP crawl requests and streaming responses.
- Updated utils.py to disable memory wait timeout for testing.
- Expanded API documentation to include new HTTP crawling features.
- Added tests for HTTP crawling endpoints, including error handling and streaming responses.
- Implemented `test_link_analysis` in `test_docker.py` to validate link analysis functionality.
- Created `test_link_analysis.py` with comprehensive tests for link analysis, including basic functionality, configuration options, error handling, performance, and edge cases.
- Added integration tests in `test_link_analysis_integration.py` to verify the /links/analyze endpoint, including health checks, authentication, and error handling.
Add new type definitions file with extensive Union type aliases for all core components including AsyncUrlSeeder, SeedingConfig, and various crawler strategies. Enhance test coverage with improved bot detection tests, Docker-based testing, and extended features validation. The changes provide better type safety and more robust testing infrastructure for the crawling framework.
- Implemented `test_adapter_verification.py` to verify correct usage of browser adapters.
- Created `test_all_features.py` for a comprehensive suite covering URL seeding, adaptive crawling, browser adapters, proxy rotation, and dispatchers.
- Developed `test_anti_bot_strategy.py` to validate the functionality of various anti-bot strategies.
- Added `test_antibot_simple.py` for simple testing of anti-bot strategies using async web crawling.
- Introduced `test_bot_detection.py` to assess adapter performance against bot detection mechanisms.
- Compiled `test_final_summary.py` to provide a detailed summary of all tests and their results.
- Implemented demo_proxy_rotation.py to showcase various proxy rotation strategies and their integration with the API.
- Included multiple demos demonstrating round robin, random, least used, failure-aware, and streaming strategies.
- Added error handling and real-world scenario examples for e-commerce price monitoring.
- Created quick_proxy_test.py to validate API integration without real proxies, testing parameter acceptance, invalid strategy rejection, and optional parameters.
- Ensured both scripts provide informative output and usage instructions.
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
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.
- 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.
- 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.
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.
- 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
