Continuous Integration

This outline describes the continuous integration (CI) process for the aispec project. The CI process ensures that code changes are integrated and validated in a continuous manner, minimizing the risk of integration issues and improving the overall quality of the codebase.

CI Workflow

The CI workflow is triggered whenever a developer pushes a new commit to the main branch. It consists of the following steps:

  1. Code Checkout: The CI system automatically checks out the latest code from the main branch of the repository.
  2. Build and Test: The CI system runs a series of automated tests to verify the code’s functionality. This includes unit tests, integration tests, and potentially end-to-end tests. The tests are run within a clean and isolated environment.
  3. Code Quality Checks: The CI system performs code quality checks using tools such as linters and static analysis tools. These tools help identify potential issues such as coding style violations, potential bugs, and security vulnerabilities.
  4. Code Coverage Analysis: The CI system calculates the code coverage of the tests, providing a metric for the effectiveness of the test suite.
  5. Deployment (if applicable): If the build, tests, and code quality checks pass, the CI system can automatically deploy the new code to a staging environment.
  6. Notifications: The CI system sends notifications to the developers, informing them of the build status and any potential issues encountered.

CI Configuration

The CI configuration for aispec is defined in the .github/workflows directory. This directory contains YAML files that describe the CI workflows, including the steps and triggers for each workflow.

Example Workflow (.github/workflows/ci.yml)

name: CI
          
          on:
            push:
              branches: [ main ]
          
          jobs:
            build-and-test:
              runs-on: ubuntu-latest
          
              steps:
              - uses: actions/checkout@v2
              - name: Set up Python
                uses: actions/setup-python@v2
                with:
                  python-version: '3.8'
              - name: Install dependencies
                run: pip install -r requirements.txt
              - name: Run tests
                run: pytest
          
            code-quality:
              runs-on: ubuntu-latest
          
              steps:
              - uses: actions/checkout@v2
              - name: Set up Python
                uses: actions/setup-python@v2
                with:
                  python-version: '3.8'
              - name: Install dependencies
                run: pip install -r requirements.txt
              - name: Run linter
                run: pylint aispec
          

This workflow configuration defines two jobs: build-and-test and code-quality. The build-and-test job runs the unit and integration tests. The code-quality job runs the linter (Pylint) to check the code quality.

CI Options

The CI workflow can be customized to accommodate various project needs. Some possible options include:

  • Customizing the Build Environment: The CI configuration can be modified to specify the required operating system, Python version, and other dependencies for the project.
  • Adding More Tests: The CI workflow can be extended to include additional tests, such as end-to-end tests or performance tests.
  • Integrating with External Services: The CI workflow can be integrated with external services, such as code coverage reporting tools, vulnerability scanners, and deployment platforms.
  • Triggering on Different Events: The CI workflow can be triggered on different events, such as pull requests or scheduled intervals.

References