CI workflow (OWASP/Python-Honeypot)
The CI workflow from OWASP/Python-Honeypot, explained and optimized by Latchkey.
CI health: D - needs work
Point runs-on at Latchkey and get caching, run de-duplication, job timeouts, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the CI workflow from the OWASP/Python-Honeypot 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
# This workflow will install Python dependencies, run tests and lint with a single version of Python
# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
name: CI
on:
push:
branches:
- master
- development
- '**'
pull_request:
branches:
- master
- development
- '**'
paths-ignore:
- 'lib/**'
types: [
assigned,
unassigned,
labeled,
unlabeled,
opened,
edited,
closed,
reopened,
synchronize,
ready_for_review,
locked,
unlocked,
review_requested,
review_request_removed
]
jobs:
build:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: [3.9.4, 3.8.9]
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: |
python3 -m pip install --upgrade pip
sudo pip3 install setuptools
sudo pip3 install -r requirements.txt
sudo pip3 install -r requirements-dev.txt
- name: Install OS dependencies
run: sudo yes | sudo apt-get update && sudo apt-get install libpcap-dev libnet-dev tshark --fix-missing
- name: Lint with flake8
run: flake8 --count --show-source --statistics .
- name: Run API server via docker daemon
run: sudo mkdir -p data/db && sudo chmod -R 1777 data/db && docker-compose up -d --build && sleep 60
- name: Check API server logs
run: docker logs python-honeypot_ohp_1
- name: Test with pytest
run: docker exec python-honeypot_ohp_1 python3 -m pytest -rpP --reruns 5 --reruns-delay 3
- name: Check API server logs
run: docker-compose logs ohp
- name: Run modules test
run: sudo python3 ohp.py -m all --test --store-pcap --verbose
- name: Kill API Server
run: docker-compose downThe 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.
# This workflow will install Python dependencies, run tests and lint with a single version of Python # For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions name: CI on: push: branches: - master - development - '**' pull_request: branches: - master - development - '**' paths-ignore: - 'lib/**' types: [ assigned, unassigned, labeled, unlabeled, opened, edited, closed, reopened, synchronize, ready_for_review, locked, unlocked, review_requested, review_request_removed ] concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: build: timeout-minutes: 30 runs-on: latchkey-small strategy: matrix: python-version: [3.9.4, 3.8.9] steps: - uses: actions/checkout@v2 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v2 with: cache: 'pip' python-version: ${{ matrix.python-version }} - name: Install dependencies run: | python3 -m pip install --upgrade pip sudo pip3 install setuptools sudo pip3 install -r requirements.txt sudo pip3 install -r requirements-dev.txt - name: Install OS dependencies run: sudo yes | sudo apt-get update && sudo apt-get install libpcap-dev libnet-dev tshark --fix-missing - name: Lint with flake8 run: flake8 --count --show-source --statistics . - name: Run API server via docker daemon run: sudo mkdir -p data/db && sudo chmod -R 1777 data/db && docker-compose up -d --build && sleep 60 - name: Check API server logs run: docker logs python-honeypot_ohp_1 - name: Test with pytest run: docker exec python-honeypot_ohp_1 python3 -m pytest -rpP --reruns 5 --reruns-delay 3 - name: Check API server logs run: docker-compose logs ohp - name: Run modules test run: sudo python3 ohp.py -m all --test --store-pcap --verbose - name: Kill API Server run: docker-compose down
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 useslatchkey-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 (2 with the matrix expanded) per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.