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Test Generation Framework

Project description

Test Generation Framework

The Test Generation Framework is a command-line interface (CLI) tool designed to generate and execute automated tests for pull requests (PRs) using AI models. It provides two main commands: generate for generating tests based on the PR number, and execute for running tests with prioritization.

Features

  • Generate Test Cases: Automatically generate test cases using an AI model based on the pull request.
  • Dynamic Tests prioritization: Dynamically generate tests prioritization based on previous execution data.
  • Execute Tests: Run generated tests with prioritization, making it easier to focus on the most important tests first.

Installation

To install the framework, use the following command:

pip install test-gen-framework

Usage

Command-Line Interface

Once installed, you can use the test-gen command with the following syntax:

test-gen <command> <arguments>

Available Commands

1. generate

Generates test cases based on the provided pull request (PR) number.

Usage:

test-gen generate <pr_number>

Arguments:

  • pr_number: The PR number for which to generate test cases.

Example:

test-gen generate 123

This will generate test cases for PR number 123.

2. execute

Executes the generated tests with prioritization.

Usage:

test-gen execute <test_dir> <pr_number>

Arguments:

  • test_dir: The directory where the generated test cases are located.
  • pr_number: The PR number associated with the generated tests.

Example:

test-gen execute tests/pr_123 123

This will execute the tests located in the tests/pr_123 directory, corresponding to PR number 123.

How It Works

  1. Generate Command: The generate command uses an AI model to generate automated tests for a given pull request. It leverages the PR number to gather relevant code and context.
  2. Execute Command: The execute command runs the generated tests on a specified directory, prioritizing tests based on their importance and relevance.

Contributing

If you'd like to contribute to the project, feel free to fork the repository and submit a pull request. Contributions are always welcome!

License

This project is licensed under the MIT License. See the LICENSE file for details.

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