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commit.yml
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# 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: Python application
on:
push:
branches: [ main ]
pull_request:
branches: [ main ]
jobs:
build:
runs-on: ubuntu-latest
steps:
# many common steps have recipes available on github.
- uses: actions/checkout@v2
- name: Set up Python 3.8
uses: actions/setup-python@v2
with:
python-version: "3.8"
- uses: actions/setup-java@v1
with:
java-version: '11'
- uses: vemonet/setup-spark@v1
with:
spark-version: '3.1.2'
hadoop-version: '3.2'
################################################################################
# # You need a creditcard for azure.. So instead of azure commands I used
# # my digital ocean account.
# - uses: azure/login@v1
# with:
# creds: ${{ secrets.AZURE_CREDENTIALS }}
# - uses: azure/arm-deploy@v1
# with:
# resourceGroupName: github-action-arm-rg
# template: ./azuredeploy.json
# parameters: examples/template/parameters.json storageAccountType=Standard_LRS sqlServerPassword=${{ secrets.SQL_SERVER }}
################################################################################
- name: Install doctl
uses: digitalocean/action-doctl@v2
with:
token: ${{ secrets.DIGITALOCEAN_ACCESS_TOKEN }}
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install flake8 pytest pyspark
if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
- name: Lint with flake8
run: |
# stop the build if there are Python syntax errors or undefined names
flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
# exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
- name: Test with pytest
run: |
pytest