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Add table_kwargs context manager to make pandas/Dask support CrateDB's special SQL DDL options #295

Add table_kwargs context manager to make pandas/Dask support CrateDB's special SQL DDL options

Add table_kwargs context manager to make pandas/Dask support CrateDB's special SQL DDL options #295

Workflow file for this run

name: "Tests: PR"
on:
push:
branches: [ main ]
pull_request: ~
workflow_dispatch:
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
test:
name: "
Python: ${{ matrix.python-version }}
SQLAlchemy: ${{ matrix.sqla-version }}
"
runs-on: ${{ matrix.os }}
strategy:
matrix:
os: ['ubuntu-latest']
python-version: ['3.7', '3.8', '3.9', '3.10', '3.11', '3.12']
cratedb-version: ['5.5.1']
sqla-version: ['<1.4', '<1.5', '<2.1']
pip-allow-prerelease: ['false']
exclude:
# SQLAlchemy 1.3 is not supported on Python 3.12 and higher.
- os: 'ubuntu-latest'
python-version: '3.12'
sqla-version: '<1.4'
# Another CI test matrix slot to test against prerelease versions of Python packages.
include:
- os: 'ubuntu-latest'
python-version: '3.12'
cratedb-version: '5.5.1'
sqla-version: 'latest'
pip-allow-prerelease: 'true'
fail-fast: false
env:
CRATEDB_VERSION: ${{ matrix.cratedb-version }}
SQLALCHEMY_VERSION: ${{ matrix.sqla-version }}
PIP_ALLOW_PRERELEASE: ${{ matrix.pip-allow-prerelease }}
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
steps:
- name: Acquire sources
uses: actions/checkout@v4
- name: Run CrateDB
run: docker compose -f tests/docker-compose.yml up -d
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
architecture: x64
cache: 'pip'
cache-dependency-path:
pyproject.toml
- name: Update setuptools
run: |
# `setuptools 0.64.0` adds support for editable install hooks (PEP 660).
# https://github.com/pypa/setuptools/blob/main/CHANGES.rst#v6400
pip install "setuptools>=64" --upgrade
- name: Invoke tests
run: |
# Bootstrap environment.
source bootstrap.sh
# Report about the test matrix slot.
echo "Invoking tests with CrateDB ${CRATEDB_VERSION} and SQLAlchemy ${SQLALCHEMY_VERSION}"
# Run linters and software tests.
export SQLALCHEMY_WARN_20=1
poe check
# https://github.com/codecov/codecov-action
- name: Upload coverage results to Codecov
uses: codecov/codecov-action@v4
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
with:
files: ./coverage.xml
flags: main
env_vars: OS,PYTHON
name: codecov-umbrella
fail_ci_if_error: true