LSST Data Management SQuaRE code management tools
Project description
[](https://travis-ci.org/lsst-sqre/sqre-codekit)
# sqre-codekit
LSST DM SQuaRE misc. code management tools
## Installation
sqre-codekit runs on Python 2.7 or 3.5. You can install it with
`bash pip install sqre-codekit `
This will also install dependencies: github3, urllib3, requests, progress and gitpython.
## Example usage
To generate a personal user token (you will be prompted for your password):
`bash github-auth -u {{username}} `
Or to generate a token with delete privileges:
`bash github-auth -u {{username}} --delete-role `
To clone all github.com/lsst repos into an GitHub organization called {{username}}-shadow:
`bash github-fork-repos -u {{username}} --org {{username}}-shadow `
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:
`bash github-delete-shadow -u {{username}} `
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.
## Available commands
github-auth: create a GitHub authentication token.
github-fork-repos: fork repositories into a shadow GitHub organization.
github-list-repos: list repositories in a GitHub organization, showing teams.
github-mv-repos-to-team: move repositories from one team to another.
github-tag-version: tag all repositories in a GitHub org using a team-based scheme.
lsst-bp: upgrade LSST DM code to [RFC-45](https://jira.lsstcorp.org/browse/RFC-45)-style.
Use the –help flag with any command to learn more.
## Development
To develop codekit, create a Python virtual environment, and
`bash 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.
Tests can be run with [pytest](http://pytest.org/latest/):
`bash py.test tests `
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