Description:

adcstreaming 2.4.0

Astronomy Data Commons Streaming Client Libraries
Libraries making it easy to access astronomy data commons resources.
Developer notes
Setup
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 pip to
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.
Code Workflow
Write code, making changes.
Use make format to reformat your code to comply with PEP8.
Use make lint to catch common mistakes.
Use make test-quick to run fast unit tests.
Use 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

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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