Skip to content

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.

License

Notifications You must be signed in to change notification settings

project-codeflare/codeflare-sdk

Folders and files

NameName
Last commit message
Last commit date

Latest commit

b4d84c1 · Jun 21, 2023
May 11, 2023
Jun 21, 2023
May 18, 2023
Jun 21, 2023
Jun 20, 2023
Jun 20, 2023
Jun 6, 2023
Apr 10, 2023
Nov 16, 2022
Jun 12, 2023
Jun 12, 2023
Mar 24, 2023
Jun 21, 2023
Apr 10, 2023
Jun 21, 2023

Repository files navigation

Codeflare-SDK

Python application coverage badge

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.

Tutorial and basics walkthrough coming soon!

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

The following instructions apply when doing release manually.

  • 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 (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
  • Check and update the version in "custom-nb-image/VERSION" file.
  • Update the codeflare-sdk version in "custom-nb-image/Dockerfile".
  • Commit all the changes to the repository.
  • The Github "Image" workflow should take care about the building and publishing of the new image. If not you can use the following instructions to build and publish image manually.
  • Change directory to custom-nb-image. cd custom-nb-image
  • Get tag export tag=$(cat VERSION)
  • Build the Docker image. docker build -t quay.io/project-codeflare/notebook:${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

About

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.

Resources

License

Stars

Watchers

Forks

Packages

No packages published