Smoke test recent filings workflow (dgunning/edgartools)
The Smoke test recent filings workflow from dgunning/edgartools, explained and optimized by Latchkey.
CI health: C - fair
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What it does
This is the Smoke test recent filings workflow from the dgunning/edgartools repository, a real project running GitHub Actions. It is shown here with attribution under its MIT 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://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
name: Smoke test recent filings
on:
workflow_dispatch:
permissions:
contents: read
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Set up Python 3.10
uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
with:
python-version: "3.10"
- name: Install dependencies
run: |
python -m pip install --upgrade pip
python -m pip install -e .
python -m pip install pytest pytest-cov pytest-env pytest-xdist pytest-asyncio pytest-retry pytest-mock freezegun==1.5.1 filelock tqdm responses
- name: Batch test sample of recent filings
run: |
# Setting PYTHONPATH to include the directory containing 'edgar' package
export PYTHONPATH=$PYTHONPATH:$(pwd)
export EDGAR_IDENTITY="S Robinson Robinson@edgar.tools"
# Smoke test recent filings (direct Python execution instead of hatch)
python scripts/batch/batch_filings.py -y 2024 -s 40
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.
# This workflow will install Python dependencies, run tests and lint with a single version of Python # For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python name: Smoke test recent filings on: workflow_dispatch: permissions: contents: read jobs: build: timeout-minutes: 30 runs-on: latchkey-small steps: - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 - name: Set up Python 3.10 uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0 with: cache: 'pip' python-version: "3.10" - name: Install dependencies run: | python -m pip install --upgrade pip python -m pip install -e . python -m pip install pytest pytest-cov pytest-env pytest-xdist pytest-asyncio pytest-retry pytest-mock freezegun==1.5.1 filelock tqdm responses - name: Batch test sample of recent filings run: | # Setting PYTHONPATH to include the directory containing 'edgar' package export PYTHONPATH=$PYTHONPATH:$(pwd) export EDGAR_IDENTITY="S Robinson Robinson@edgar.tools" # Smoke test recent filings (direct Python execution instead of hatch) python scripts/batch/batch_filings.py -y 2024 -s 40
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. - 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.