starflow

Starcraft team GHA Workflows

Reusable Workflows

Some of these automations are provided as Reusable workflows. For these workflows, you can embed them in a workflow you run at the job level. Examples are provided below.

Lint

The lint workflow installs and runs the relevant linters for the repository. It expects the following make targets:

• setup-lint: Installs relevant linters (only needs to work on Ubuntu)
• lint: Runs relevant linters

Usage

An example workflow:

name: QA
on:
  push:
    branches:
      - "main"
      - "feature/*"
      - "hotfix/*"
      - "release/*"
      - "renovate/*"
  pull_request:

jobs:
  lint:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: lengau/starflow/lint@work/CRAFT-3602/test-workflows

Policy check

The policy check workflow checks that contributions to the project follow both Canonical corporate policy and team policy. It checks:

• That the user has signed the Canonical CLA
• That commits follow Starcraft team standards using Conventional Commits

Usage

An example workflow that uses this reusable workflow:

name: Check policy
on:
  pull_request:

jobs:
  policy:
    uses: canonical/starflow/.github/workflows/policy.yaml@main

Python security scanner

The Python security scanner workflow uses several tools (trivy, osv-scanner) to scan a Python project for security issues. It does the following:

1. Creates a wheel of the project.
2. Exports a uv.lock file (if present in the project) as two requirements files: a. requirements.txt with no extras b. requirements-all.txt with all available extras

If there are any existing requirements*.txt files in your project, it will scan those below too.

With Trivy, it:

1. Scans the requirements files
2. Scans the wheel file(s)
3. Scans the project directory
4. Installs each combination of (requirements, wheel) in a virtual environment and scans that environment.

With OSV-scanner it:

1. Scans the requirements files
2. Scans the project directory

Usage

An example workflow for your own Python project that will use this workflow:

name: Security scan
on:
  pull_request:
  push:
    branches:
      - main
      - hotfix/*

jobs:
  python-scans:
    name: Scan Python project
    uses: canonical/starflow/.github/workflows/scan-python.yaml@main
    with:
      # Additional packages to install on the Ubuntu runners for building
      packages: python-apt-dev cargo
      # Additional arguments to `find` when finding requirements files.
      # This example ignores 'requirements-noble.txt'
      requirements-find-args: "! -name requirements-noble.txt"
      # Additional arguments to pass to osv-scanner.
      # This example adds configuration from your project.
      osv-extra-args: "--config=source/osv-scanner.toml"
      # Use the standard extra args and ignore spread tests
      trivy-extra-args: '--severity HIGH,CRITICAL --ignore-unfixed --skip-dirs "tests/spread/**"'

Go security scanner

The Go security scanner workflow uses several tools (trivy, osv-scanner) to scan a Go project for security issues.

Usage

An example workflow for your own Go project that will use this workflow:

name: Security scan
on:
  pull_request:
  push:
    branches:
      - main
      - hotfix/*

jobs:
  go-scans:
    name: Scan Go project
    uses: canonical/starflow/.github/workflows/scan-golang.yaml@main
    with:
      # Additional packages to install on the Ubuntu runners for building
      packages: protoc-gen-go-1-3
      # Additional arguments to pass to osv-scanner.
      # This example adds configuration from your project.
      osv-extra-args: "--config=.osv-scanner.toml"
      # Use the standard extra args and ignore spread tests
      trivy-extra-args: '--skip-dirs "tests/spread/**"'

Python test runner

The Python test runner workflow uses GitHub workflows and uv to run Python tests in several forms. It:

• Runs fast tests across multiple platforms and Python versions.
• Runs all tests on Ubuntu with the oldest supported python version and uv resolution set to lowest.
• Runs slow tests across their own set of platforms and Python versions.
• Uploads test coverage for tests as artefacts.

In order to do so, it expects the following make targets:

• setup-tests: Configures the system, installing any other necessary tools.
• test-coverage: Runs tests with test coverage. Fast and slow tests will use the PYTEST_ADDOPTS environment variable to run with or without the slow mark.

Because we use the snaps of codespell, ruff and shellcheck frequently, this workflow installs those as well as uv.

An example workflow:

name: Test Python
on:
  pull_request:

jobs:
  test:
    uses: canonical/starflow/.github/workflows/test-python.yaml@main