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Kubernetes release team shadow program application analysis

License: Apache License 2.0

Python 100.00%

release-team-shadow-stats's Introduction

Release Team Shadow Applicant analysis

Disclaimer: The project is work in progress

This project is designed to support at the release team shadow selection process. It should be used in the shadow selection phase and to communicate transparently with the community about the current status of the release team shadow program.

Goals:

  • Improve the release team shadow selection process by extracting data from a excel into multiple markdown files (see examples/applicant)
  • Provide some transparency about the current shadow program by creating non identifying charts that can be shared with the community (see examples/plots)

The files in found under the folder example/ are generated with fake data!

Examples (see examples/README.md)

Examples for the chats / plots and the applicant summary markdown files can be found under the folder examples/.

Release Team shadow applicants by team example: applicants by team Pronouns Example example: pronouns ...more charts can be found under examples/plots

By running python main.py --test=1 dummy applicant data is getting generated.

How to work on this project

Setup your local working environment

  1. Create a local virtual python environment python3 -m venv venv
  2. Activate the local virtual python environment source venv/bin/activate.
  3. Install dependencies pip install -r requirements.txt.

To generate the plots and applicant summaries run python main.py --file=your-file.xlsx. Make sure to place a matching xlsx file to the root dir of the project.

Run the application

To update the requirements run pip freeze > requirements.txt.

Community, discussion, contribution, and support

You can reach the maintainers of this project at:

Sponsoring SIG's

Code of conduct

Participation in the Kubernetes community is governed by the Kubernetes Code of Conduct.

release-team-shadow-stats's People

Contributors

k8s-ci-robot avatar leonardpahlke avatar liquidsaul avatar

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