Add logging test for orchestrator #8
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Caution Review failedThe pull request is closed. WalkthroughA new test method was added to the Changes
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Summary of Changes
Hello @groupthinking, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request introduces a new unit test to validate the logging behavior of the Orchestrator class. The test specifically checks that expected log messages are printed to standard output during the orchestrator's operation, enhancing test coverage for critical functionality.
Highlights
- New Test Case: I've added a new test method,
test_logger_outputs_messages, tosrc/test_orchestrator.py. This test specifically verifies that theOrchestratorclass correctly outputs expected log messages tosys.stdoutduring itsrunmethod execution. - Standard Output Mocking: To facilitate testing of
sys.stdoutoutput, I've utilizedunittest.mock.patchin conjunction withio.StringIO. This allows the test to capture the orchestrator's console output and assert its content, ensuring proper logging behavior.
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Code Review
The code changes introduce a new test case to verify the logging behavior of the orchestrator. The review focuses on making the test more robust and maintainable by suggesting the use of assertIn to check for key phrases in the log messages instead of asserting equality on the entire log message.
| self.assertGreaterEqual(len(lines), 3) | ||
| self.assertEqual(lines[0], "[LOG] Parsing data") | ||
| self.assertEqual(lines[1], "[LOG] Summarizing data") | ||
| self.assertEqual(lines[2], "[LOG] Optimizing summary") |
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Instead of asserting equality on specific log messages, it would be more robust to assert that the log messages contain certain key phrases or patterns. This approach makes the test less brittle to changes in the exact wording of the log messages.1
self.assertIn("Parsing data", mock_stdout.getvalue())
self.assertIn("Summarizing data", mock_stdout.getvalue())
self.assertIn("Optimizing summary", mock_stdout.getvalue())Style Guide References
Footnotes
groupthinking
deleted the
codex/add-unittest-case-for-loggeragent-outputs
branch
Summary
Testing
pip install -r requirements.txtPYTHONPATH=src python -m unittest src.test_orchestrator -vhttps://chatgpt.com/codex/tasks/task_e_686efe11b05c83238fcfcf4ad0555a6b
Summary by CodeRabbit