codechecker-master-analysis workflow (Ericsson/codechecker)

The codechecker-master-analysis workflow from Ericsson/codechecker, explained and optimized by Latchkey.

What it does

This is the codechecker-master-analysis workflow from the Ericsson/codechecker repository, a real project running GitHub Actions. It is shown here with attribution under its Apache-2.0 license.

Below, Latchkey shows a faster, safer version produced by its optimization engine.

The workflow

name: codechecker-master-analysis

# Triggers the workflow on push or pull request events.
on:
  push:
    branches:
      - master

jobs:
  codechecker-master-analyis:
    name: CodeChecker analyze master

    runs-on: ubuntu-24.04
    env:
      PR_NUMBER: ${{ github.event.number }}
    steps:
      - uses: actions/checkout@v2
      - uses: actions/setup-python@v4
        with:
          python-version: '3.10'
      - name: Install dependencies
        run: |
          pip install $(grep -iE "pylint|pycodestyle" analyzer/requirements_py/dev/requirements.txt)
          pip install codechecker==6.25.1
          sh .github/workflows/install-deps.sh
      - name: Build the CodeChecker package
        run: |
          make pip_dev_deps
          BUILD_UI_DIST=NO make package
      - name: Run CodeChecker analysis
        env:
          CODECHECKER_TOKEN: ${{ secrets.CODECHECKER_STORE_TOKEN }}
          PR_NUMBER: ${{ github.event.number }}
        run: |
          echo "{\"client_autologin\" : true,\"credentials\": {\"*\": \"store:$CODECHECKER_TOKEN\"}}" > ~/.codechecker.passwords.json
          bash ./ci/github_analysis/codechecker_gate_master.sh

The same workflow, on Latchkey

Estimated ~20% faster on cache hits, plus fewer wasted runs and a safer supply chain. Added and changed lines are highlighted.

name: codechecker-master-analysis
 
# Triggers the workflow on push or pull request events.
on:
  push:
    branches:
      - master
 
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true
 
jobs:
  codechecker-master-analyis:
    timeout-minutes: 30
    name: CodeChecker analyze master
 
    runs-on: latchkey-small
    env:
      PR_NUMBER: ${{ github.event.number }}
    steps:
      - uses: actions/checkout@v2
      - uses: actions/setup-python@v4
        with:
          cache: 'pip'
          python-version: '3.10'
      - name: Install dependencies
        run: |
          pip install $(grep -iE "pylint|pycodestyle" analyzer/requirements_py/dev/requirements.txt)
          pip install codechecker==6.25.1
          sh .github/workflows/install-deps.sh
      - name: Build the CodeChecker package
        run: |
          make pip_dev_deps
          BUILD_UI_DIST=NO make package
      - name: Run CodeChecker analysis
        env:
          CODECHECKER_TOKEN: ${{ secrets.CODECHECKER_STORE_TOKEN }}
          PR_NUMBER: ${{ github.event.number }}
        run: |
          echo "{\"client_autologin\" : true,\"credentials\": {\"*\": \"store:$CODECHECKER_TOKEN\"}}" > ~/.codechecker.passwords.json
          bash ./ci/github_analysis/codechecker_gate_master.sh
 

What changed

• Run on Latchkey managed runners with one line (runs-on), which apply the fixes below automatically and self-heal transient failures. This example uses latchkey-small; pick the runner size that fits the job.
• Cancel superseded runs when a branch or PR gets a newer push.
• Cache dependency installs on the setup step so they are served from cache.
• Add a job timeout so a hung step cannot burn hours of runner time.

What Latchkey heals here

This workflow has steps that commonly fail on transient issues (network, registries, flaky browsers). On Latchkey managed runners they are detected, retried, and self-healed instead of failing your build:

• Dependency installs

This workflow runs 1 job per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.

Actions used in this workflow