- Added pytest fixture to provide sample text from a file.
- Added pytest fixture to provide graph configuration.
- Implemented test_scraping_pipeline to test the execution of SmartScraperGraph.
- Added assertions to verify the result is not None and to check the expected structure of the result.
Contributed by @tejhande
- Added pytest fixture to provide sample text from a file.
- Added pytest fixture to provide graph configuration.
- Implemented test_scraping_pipeline to test the execution of SmartScraperGraph.
- Added assertions to verify the result is not None and to check the expected structure of the result.
Contributed by @tejhande
- Added pytest fixture to provide sample text from a file.
- Added pytest fixture to provide graph configuration.
- Implemented test_scraping_pipeline to test the execution of SmartScraperGraph.
- Added assertions to verify the result is not None and to check the expected structure of the result.
Contributed by @tejhande
- Added pytest fixture to provide sample text from a file.
- Added pytest fixture to provide graph configuration.
- Implemented test_scraping_pipeline to test the execution of SmartScraperGraph.
- Added assertions to verify the result is not None and to check the expected structure of the result.
Contributed by @your-github-username
- Added pytest fixture to set up the RobotsNode with the initial state.
- Implemented test_robots_node to test the execution of RobotsNode.
- Used unittest.mock.patch to mock the execute method, ensuring faster and more reliable tests without actual network calls.
- Added assertions to verify the correctness of the result and ensure the execute method is called once with the correct arguments.
- Added pytest fixture to set up the RobotsNode with the initial state.
- Implemented test_robots_node to test the execution of RobotsNode.
- Used unittest.mock.patch to mock the execute method, ensuring faster and more reliable tests without actual network calls.
- Added assertions to verify the correctness of the result and ensure the execute method is called once with the correct arguments.
This commit enhances the test suite for the ScriptCreatorGraph class by improving code readability, adding more informative assertions, and printing the prettified execution information.
Changes:
- Added more descriptive docstrings for better code documentation.
- Improved assertion messages to provide better debugging experience in case of failures.
- Added a line to print the prettified execution information using the `prettify_exec_info` function.
- Included a comment to remind developers to add additional assertions on the result or execution info if needed.
- Fixed a minor typo in the configuration dictionary (`beautifulsoup` instead of `beautifoulsoup`).
Benefits:
- Improved code readability and maintainability with better documentation.
- Enhanced debugging experience with more informative assertion messages.
- Easier analysis of the ScriptCreatorGraph execution by printing the prettified execution information.
- Reminder to add more assertions for comprehensive testing of the ScriptCreatorGraph.
- Corrected a minor typo to ensure consistency.
The test suite now provides a more user-friendly experience for developers working on the ScriptCreatorGraph class. The printed execution information will aid in debugging and understanding the graph's execution flow, while the improved assertions and documentation will make the test suite more robust and maintainable.
This commit enhances the test suite for the FetchNode class by introducing mocking for the execute method using the unittest.mock module.
Changes:
- Imported the patch and MagicMock classes from unittest.mock.
- Decorated each test function with @patch('scrapegraphai.nodes.FetchNode.execute') to mock the execute method.
- Set the return_value of the mocked execute method to a MagicMock instance.
- Added assertions to check if the mocked execute method was called with the expected state dictionary.
- Updated the test functions to use the mocked execute method instead of the actual implementation.
Benefits:
- Improved test reliability by isolating the FetchNode class from external dependencies.
- Faster test execution since external resources (e.g., URLs, files) are not required.
- Better test coverage by testing the execute method's behavior with various input states.
- Increased maintainability by decoupling tests from the implementation details of the execute method.
The functionality of the FetchNode class remains unchanged, but the tests now use mocking to ensure the correct behavior of the execute method without relying on external resources or dependencies.
This commit enhances the test suite for the JSON scraping pipeline by introducing the following improvements:
- Separate configuration from the test code by loading it from a JSON file (config.json)
- Use a parametrized fixture to run the test with multiple configurations automatically
- Read the sample JSON file from a separate inputs directory for better organization
- Add explicit assertions to verify the expected output (list of titles)
- Improve test organization and separation of concerns using fixtures
- Promote better coding practices and make the test suite more extensible
These changes aim to improve the testability, maintainability, and flexibility of the test suite. They make it easier to manage configurations, add or modify test cases, and ensure the robustness of the scraping pipeline. The test suite now follows best practices and is better prepared for future changes and requirements.
- Changed the access of model_name from dictionary-style to attribute-style in llm_model
to comply with langchain BaseChatModel.
- Updated the conditional and split operations accordingly.
