Shreyanand / data-science-workflows

data-science-workflows

Start Here: AI Ops DS Project

Please use the following outline to get started with a new AI Ops Data Science Project:

1. Review the project workflow document here.

2. Create a new description using this template doc. See example here.

3. Put the doc into a subfolder of this shared directory.

4. Copy this project board to a new organization level project board including automation. See Copying a project board.

5. Request a Ceph bucket here and add your data to it. (Must be connected to the VPN)

6. Create a CookieCutter formatted data science project from this template repo. Follow these instructions to create a new repo from this template.

7. Create a private GitHub repo in this org.

GitHub workflow

1. Create an issue for every task you plan to work on.
2. Add the issue to the New column of the corresponding project board.
3. Let somebody from the team review the issue and refine it, until it's clear what should be done and what defines done.
   1. Provide some sort of acceptance criteria.
   2. Break the issue into smaller issues if it can't be done in one sprint.
4. Move the issue to the To Do column.
5. Once you start work on the issue move to the In Progress column and assign it to yourself.
6. Create a PR for the issue and reference the issue in the PR description.
7. Let somebody from the team review the PR - never merge your own PRs.