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Add id token write on workflow #45

Add id token write on workflow

Add id token write on workflow #45

Workflow file for this run

# 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: Python application
on:
push:
pull_request:
branches: [ "main" ]
permissions:
contents: read
jobs:
ci:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Set up Python 3.8
uses: actions/setup-python@v3
with:
python-version: "3.8"
- name: Caching dependencies
uses: actions/cache@v3
with:
path: ~/.cache/pip
key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}
restore-keys: |
${{ runner.os }}-pip-
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install pytest
if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
- uses: chartboost/ruff-action@v1
- name: Test with pytest
run: |
pytest
cd:
needs: ci
# Only run this job if new work is pushed to "main"
if: github.event_name == 'push' && github.ref == 'refs/heads/main'
# Set up operating system
runs-on: ubuntu-latest
permissions:
id-token: write
environment:
name: pypi
url: https://pypi.org/p/ordinalgbt
# Define job steps
steps:
- name: Set up Python 3.9
uses: actions/setup-python@v3
with:
python-version: 3.9
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install build
- uses: actions/checkout@v3
# Here we run build to create a wheel and a
# .tar.gz source distribution.
- name: Build package
run: python -m build --sdist --wheel
# Finally, we use a pre-defined action to publish
# our package in place of twine.
- name: Publish to PyPI
uses: pypa/gh-action-pypi-publish@release/v1
- name: Test install from PyPi
run: |
pip install ordinalgbt