Astronomy Data Commons streaming client libraries
Astronomy Data Commons Streaming Client Libraries
Libraries making it easy to access astronomy data commons resources.
To prepare for development, run
pip install --editable ".[dev]" from within
the repo directory. This will install all dependencies, including those using
during development workflows.
This project expects you to use a
pip-centric workflow for development on the
project itself. If you're using conda, then use the conda environment's
install development dependencies, as described above.
Integration tests require Docker to run a Kafka broker. The broker might have network problems on OSX if you use Docker Desktop; run the tests in a Linux virtual machine (like with VirtualBox) to get around this.
Write code, making changes.
make format to reformat your code to comply with PEP8.
make lint to catch common mistakes.
make test-quick to run fast unit tests.
make test to run the full slow test suite, including integration tests.
Once satisfied with all four of those, push your changes and open a PR.
Tag, build, and upload to PyPI and Conda
Tag a new version:
git tag -s -a v0.x.x
Build and release:
make pypi-dist make pypi-dist-check make pypi-upload make conda-build make conda-upload
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