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Python SDK for codeflare client

Project description

Codeflare-SDK

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An intuitive, easy-to-use python interface for batch resource requesting, access, job submission, and observation. Simplifying the developer's life while enabling access to high-performance compute resources, either in the cloud or on-prem.

For guided demos and basics walkthroughs, check out the following links:

  • Guided demo notebooks available here, and copies of the notebooks with expected output also available
  • Note that these notebooks will work with the latest codeflare-sdk PyPI release. For testing and experimentation with main branch, please use the preview notebooks
  • Additionally, we have a video walkthrough of these basic demos from June, 2023

Full documentation can be found here

Installation

Can be installed via pip: pip install codeflare-sdk

Development

Prerequisites

We recommend using Python 3.9 for development. Install development specific dependencies: $ pip install -r requirements-dev.txt

Additional dependencies can be found in requirements.txt: $ pip install -r requirements.txt

Pre-commit

We use pre-commit to make sure the code is consistently formatted. To make sure that pre-commit is run every time you commit changes, simply run pre-commit install

Testing

  • To install codeflare-sdk in editable mode, run pip install -e . from the repo root.
  • To run the unit tests, run pytest -v tests/unit_test.py
  • Any new test functions/scripts can be added into the tests folder
  • NOTE: Functional tests coming soon, will live in tests/func_test.py

Code Coverage

  • Run tests with the following command: coverage run -m --source=src pytest tests/unit_test.py
  • To then view a code coverage report w/ missing lines, run coverage report -m

Code Formatting

  • To check file formatting, in top-level dir run black --check .
  • To auto-reformat all files, remove the --check flag
  • To reformat an individual file, run black <filename>

Package Build

To build the python package: $ poetry build

Release Instructions

Automated Releases

It is possible to use the Release Github workflow to do the release. This is generally the process we follow for releases

Manual Releases

The following instructions apply when doing release manually. This may be required in instances where the automation is failing.

  • Check and update the version in "pyproject.toml" file.
  • Generate new documentation. pdoc --html -o docs src/codeflare_sdk && pushd docs && rm -rf cluster job utils && mv codeflare_sdk/* . && rm -rf codeflare_sdk && popd && find docs -type f -name "*.html" -exec bash -c "echo '' >> {}" \; (it is possible to install pdoc using the following command poetry install --with docs)
  • Commit all the changes to the repository.
  • Create Github release (https://docs.github.com/en/repositories/releasing-projects-on-github/managing-releases-in-a-repository#creating-a-release).
  • Build the Python package. poetry build
  • If not present already, add the API token to Poetry. poetry config pypi-token.pypi API_TOKEN
  • Publish the Python package. poetry publish
  • Change directory to custom-nb-image. cd custom-nb-image
  • Set tag export tag=TAG
  • Build the Docker image. docker build --build-arg SDK_VERSION=<version> -t quay.io/project-codeflare/notebook:${tag} .
  • Tag the image as latest. docker tag quay.io/project-codeflare/notebook:${tag} quay.io/project-codeflare/notebook:latest
  • Login to quay.io. docker login quay.io
  • Push the image. docker push quay.io/project-codeflare/notebook:${tag}
  • Push the image. docker push quay.io/project-codeflare/notebook:latest

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