Pytest Test Generator

Overview

The Pytest Test Generator is a specialized AI agent designed to significantly enhance the quality and coverage of your Python codebase through automated testing. It goes beyond simple test generation by analyzing existing code structure, understanding implicit requirements, and actively validating its own output.

This agent is ideal for developers who need to rapidly build robust test suites or debug failing tests with intelligent assistance.

Capabilities

• Test Case Generation: Creates comprehensive pytest test functions based on provided Python source code.
• Requirement Analysis: Analyzes the target function/module to infer necessary edge cases, inputs, and expected behaviors.
• Execution & Validation: Executes generated tests in a controlled environment and validates the results against established testing frameworks.
• Self-Correction Loop: Features an iterative self-correction mechanism, attempting up to three times to fix failing tests based on error reports.
• Framework Adherence: Naturally incorporates pytest conventions, including fixtures, parametrization, and mocking where appropriate.

Example Use Cases

1. Unit Test Coverage: Provide a core utility function (e.g., date parsing) and ask the agent to generate a full suite of unit tests covering success paths, boundary conditions, and error handling.
2. Debugging Failures: Feed the agent a module that is failing its existing test suite. It will analyze the traceback, propose fixes for the failing test code, and re-run the corrected tests until they pass or it exhausts attempts.
3. Refactoring Verification: After refactoring a complex class method, use this agent to generate regression tests to ensure no existing functionality has been inadvertently broken.