Testing and Validation for AgentM Python Migration

[debuggerone]

Overview

This issue covers the testing and validation phase of migrating the AgentM library from JavaScript to Python. This phase ensures that all migrated functionalities work correctly and efficiently in Python, maintaining feature parity with the JavaScript version.

Tasks

• [ ] Unit Testing

  • [ ] Write unit tests for each migrated module to ensure feature parity with the JavaScript version.
  • [ ] Use pytest or similar Python testing frameworks to achieve comprehensive test coverage.
  • [ ] Ensure all tests cover edge cases and potential error conditions.

• [ ] Integration Testing

  • [ ] Implement integration tests to verify that the Python modules interact correctly and produce expected outcomes.
  • [ ] Test interactions between core utilities, agent functions, and OpenAI API integrations.
  • [ ] Ensure that all integration tests pass under various configurations and environments.

• [ ] Performance Testing

  • [ ] Perform benchmarks to compare the performance of the Python implementation against the JavaScript version.
  • [ ] Identify and optimize any performance bottlenecks in the Python code.
  • [ ] Ensure the Python version meets or exceeds the performance standards set by the JavaScript implementation.

Subtasks Overview

1. Unit Testing:

   • Develop unit tests for each Python module to verify functional correctness and ensure feature parity with the JavaScript version.
   • Utilize Python testing frameworks like pytest for comprehensive and automated testing.

2. Integration Testing:

   • Create integration tests to validate that the different Python modules work together seamlessly.
   • Focus on testing the integration of utilities, agents, and OpenAI API functions.

3. Performance Testing:

   • Conduct performance testing to benchmark the Python version against the JavaScript implementation.
   • Optimize any identified bottlenecks to ensure efficient performance.