OME tools for managing the git(hub) workflow

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jburel from gravatar.com jburel Avatar for joshmoore from gravatar.com joshmoore Avatar for ome from gravatar.com ome Avatar for sbesson from gravatar.com sbesson

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers
Report project as malware

Project description

Build Status

Introduction

The scc command provides tools for simplifying the Git(Hub) workflow.

Dependencies

Direct dependencies of scc are:

Installation

To install scc, run:

$ python setup.py install

or using pip, run:

$ pip install scc

To upgrade your pip installation, run:

$ pip install -U scc

Usage

The list of available commands can be listed with:

$ scc -h

For each subcommand, additional help can be queried, e.g.:

$ scc merge -h

Contributing

PyGithub follows PEP 8, the Style Guide for Python Code. Please check your code with pep8 or flake8, the Python style guide checkers, by running flake8 -v scc/ test/ or pep8 -v scc/ test.

Running tests

The tests are located under the test directory. It is required to install mox and restview as listed in dev_requirements.

Unit tests

Unit tests are stored under the test/unit folder and can be run by calling:

python test/unit

or using nose:

nosetests -v test/unit

Unit tests are also run by the Travis build on every Pull Request opened against the main repository.

Integration tests

Integration tests are stored under test/integration. Many integration tests use snoopys-sandbox and snoopys-sandbox2 as sandbox repositories to test the scc commands.

Running the integration test suite requires:

  • a GitHub account

  • a token-based GitHub connection, i.e. a global github.token stored under the global Git configuration file:

    $ git config --global github.token xxxx

  • the user authenticated by the token defined above needs to own forks of snoopys-sandbox and snoopys-sandbox2

Once this is set up, the integration tests can be run by calling:

python test/integration

or using nose:

nosetests -v test/integration

Integration tests are run daily on the OME Continuous Integration infrastructure under the SCC-self-merge job using the token-authenticated snoopycrimecop user

License

snoopycrimecop is released under the GPL.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page