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@Ahmed-Tawfik94 Ahmed-Tawfik94 commented Oct 28, 2025

Summary

It introduces new features including table extraction strategies, an interactive monitoring dashboard, comprehensive tests for URL discovery and virtual scroll functionality, HTTP-only crawling endpoints, link analysis capabilities, anti-bot strategies with browser adapters, proxy rotation, and adaptive crawling endpoints with job management.

List of files changed and why

  • Dockerfile - Add routers directory to Docker build
  • deploy/docker/routers/ - New router modules for adaptive crawling, dispatchers, monitoring, scripts, and tables
  • deploy/docker/api.py - Implement adaptive crawling endpoints and job management
  • deploy/docker/schemas.py - Add new request models for table extraction and monitoring
  • deploy/docker/server.py - Integrate new endpoints and routers
  • deploy/docker/crawler_pool.py - Enhance crawler pool for new features
  • crawl4ai/proxy_strategy.py - Add proxy rotation strategies
  • crawl4ai/init.py - Update exports for new features
  • tests/docker/ - Comprehensive tests for new endpoints and features
  • tests/ - Additional tests for URL discovery, link analysis, virtual scroll, etc.
  • docs/ - Documentation for proxy rotation, link analysis, table extraction, and API updates

How Has This Been Tested?

  • Executed unit tests for new table extraction and monitoring features
  • Ran integration tests for adaptive crawling endpoints and job management
  • Tested anti-bot strategies and proxy rotation functionality
  • Verified URL discovery and virtual scroll API endpoints
  • Performed end-to-end tests for link analysis and HTTP-only crawling

Fixes (in any)

Checklist:

  • My code follows the style guidelines of this project
  • I have performed a self-review of my own code
  • I have commented my code, particularly in hard-to-understand areas
  • I have made corresponding changes to the documentation
  • I have added/updated unit tests that prove my fix is effective or that my feature works
  • New and existing unit tests pass locally with my changes

…dless mode options (Browser adapters , 12.Undetected/stealth browser)
- 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.
- 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.
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.
…oint

- 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.
- 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.
…ation tests for monitoring endpoints

- 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.
- Implemented table extraction strategies: default, LLM, financial, and none in utils.py.
- Created new API documentation for table extraction endpoints and strategies.
- Added integration tests for table extraction functionality covering various strategies and error handling.
- Developed quick test script for rapid validation of table extraction features.
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3 participants