LSST DM SQuaRE misc. code management tools
sqre-codekit runs on Python 3.6 or newer. You can install it with
pip install sqre-codekit
github-auth
: Generate a GitHub authentication token.github-decimate-org
: Delete repos and/or teams from a GitHub organization.github-fork-org
: Fork repositories from one GitHub organization to another.github-get-ratelimit
: Display the current github ReST API request ratelimit.github-list-repos
: List repositories on Github using various criteria.github-mv-repos-to-team
: Move repo(s) from one team to another.github-tag-release
: Tag git repositories, in a GitHub org, that correspond to the products in a published eups distrib tag.github-tag-teams
: Tag the head of the default branch of all repositories in a GitHub org which belong to the specified team(s).
Use the --help
flag with any command to learn more.
To generate a personal user token (you will be prompted for your password):
github-auth -u {{username}}
Or to generate a token with delete privileges:
github-auth -u {{username}} --delete-role
To clone all github.com/lsst repos into an GitHub
organization called {{username}}-shadow
:
github-fork-org \
--dry-run \
--debug \
--src-org 'lsst' \
--dst-org '{{username}}-shadow' \
--token "$GITHUB_TOKEN" \
--team 'DM Auxilliaries' \
--team 'DM Externals' \
--team 'Data Management' \
--copy-teams
You'll need to create this shadow organization in advance. Working in a shadow organization is useful for testing.
If you want to take a recent fork, you will need to delete the existing shadow repos first:
github-decimate-org \
--dry-run \
--debug \
--org 'example' \
--token "$GITHUB_TOKEN" \
--delete-repos \
--delete-repos-limit 3 \
--delete-teams \
--delete-teams-limit 3
That requires a token with delete privileges.
To get more debugging information, set your DM_SQUARE_DEBUG
variable before
running any command, or use the -d
debug flag on the command line.
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To develop codekit, create a Python virtual environment, and
git clone https://github.com/lsst-sqre/sqre-codekit.git
cd sqre-codekit
virtualenv venv
. venv/bin/activate
pip install -r requirements.txt
python setup.py develop
Note that all scripts (in codekit/cli
) are installed using setuptools
entry_points
. See setup.py
.
Unit tests can be run with pytest:
python setup.py test
or
pytest tests