A command line client used to administrate the hosted Jumpcloud identity provider service.
pip install git+https://github.com/Sage-Bionetworks/jccli
Usage: jccli [OPTIONS] COMMAND [ARGS]...
Run jccli
Options:
-k, --key TEXT JumpCloud API key (can also be set in config file or
use environmental variable: JC_API_KEY)
-p, --profile TEXT A user profile, as specified in the config file
[default: DEFAULT]
-v, --verbosity LVL Either CRITICAL, ERROR, WARNING, INFO or DEBUG
--version Show the version and exit.
--help Show this message and exit.
Commands:
group Command set for groups
sync Sync Jumpcloud with a data file
user Command set for users
> jccli --key XXXXXXXXXX61d2 user get --username jsmith
{
"id": "9ba6cc40d82ee45d5f73da2e",
"account_locked": false,
"activated": true,
"firstname": "Joe",
"job_title": "",
"lastname": "Smith",
..
..
}
JCCLI will look for an optional configuration file named .jccli.ini
in the user's home directory. See Python's
configparser for formatting specification. In short, field = "value"
pairs go under [profile]
headers (replacing profile
with the desired name of the profile), which can be
switched between using the --profile
option. Currently, the only field that can be set is the key
field, which can
be set to a JCCLI API key. Help text for optional arguments indicates whether they can be set in a user's config file.
If the user does not specify a --profile
it will default to [DEFAULT]
.
For example:
[DEFAULT]
key = YOUR-KEY-HERE
[alt-account]
key = YOUR-OTHER-KEY-HERE
A user who has the above content in their ~/.jccli.ini
config file can use jccli with the key YOUR-KEY-HERE
if they
don't specify a --profile
; they can use the API key YOUR-OTHER-KEY-HERE
if they specify --profile alt-account
; or
they can use neither and pick a third key by using --key YET-ANOTHER-KEY-HERE
(regardless of whether --profile
is
specified).
JCCLI will look for settings (including API key, etc.) with the following order of precedence:
- Optional arguments
- Environmental variables
- Selected profile in config file
DEFAULT
profile in config file
Contributions are welcome.
Install these utilities:
Before making a commit, you should syntactically validate your code and configurations with pre-commit.
You can set up pre-commit hooks to automatically be run before every commit by running: pre-commit install
.
Alternatively, you can manually execute the validations by running pre-commit run --all-files
.
JCCLI's test suite consists of unit tests and integration tests. The integration tests are designed to run on an actual
clean JumpCloud instance (see docstrings under setup_class()
methods in integration_tests/test_*.py
for details).
You can provide a key either by setting the environmental variable JC_API_KEY
, or by setting the key
field under the
section [jccli-dev-testing]
in your ~/.jccli.ini
configuration file (See Configuration for
details). You will also need to set the JC_CONNECT_KEY
environment variable when running the integration test suite.
This is the key used to allow systems to register with your JumpCloud instance, and can be found by navigating to the
"devices" tab in the JumpCloud web console, and clicking the "+" button in the
top-right corner.
We use Travis-CI to automate our testing. This repo's Travis configuration is set up to run
the unit test suite (in unit_tests/
) on every pull request and push, and to run the integration test suite (in
integration_tests/
) only on a push.
Certain integration tests require the use of Docker to simulate JumpCloud systems. Make sure that Docker is installed and that the Docker daemon is running in order to execute these tests.
Contributors are requested to use the following process (in the examples, we'll suppose that a user named john-smith
wants to fix some typos in the documentation):
- Make a fork of JCCLI. E.g.
Sage-Bionetworks:jccli
→john-smith:jccli
- Make a branch off of
master
named after a feature or issue. E.g.john-smith:jccli/master
→john-smith:jccli/fix-typo-in-docs
- Make commits to that branch (in this example,
john-smith:jccli/fix-typo-in-docs
). When pushed to GitHub, they should trigger Travis to run unit tests and integration tests. For the integration tests to pass, contributors need to make sure that theJC_API_KEY
environmental variable in their Travis CI environment is set to a Jumpcloud API Key —specifically, one corresponding to a "clean" JumpCloud instance (i.e. it should have no users, groups, etc.). - Make a pull request from the feature/issue branch on the fork (e.g.
john-smith:jccli/fix-typo-in-docs
) toSage-Bionetworks:jccli/master
. - Wait for maintainers to review code and approve the pull request.
Maintainers should use the following process for reviewing and approving outside pull requests:
- Examine proposed changes on GitHub. Pay special attention to hidden environment variables (as of write time,
JC_API_KEY
) and make sure nothing in the changes could expose them or use them for unintended purposes. If in doubt, DO NOT proceed to the next step. - Incorporate the changes into a new branch in our repo, e.g. create a branch
Sage-Bionetworks:jccli/fix-typo-in-docs
and manually pull in the changes fromjohn-smith:jccli/fix-typo-in-docs
. Make a new tracking remote branch (i.e.git push --set-upstream origin fix-typo-in-docs
, or whatever the name of your remote is, instead oforigin
) and push to it in order to trigger a Travis CI build. Make sure that theintegration-test
job ran and passed successfully. - Approve/merge the pull request and delete the feature branch made for testing purposes
(
Sage-Bionetworks:jccli/fix-types-in-docs
, in the example).
We try to follow semantic versioning as much as possble. We use bump2version to help automate versioning of this project.
To manually bump the version:
bumpversion patch --config-file setup.cfg
We have setup our CI to automate a release of this app. To kick off the process just create
a tag (i.e v1.0.0) and push to the repo. It is important to have the v
in the tag and
the tag must be the same number as the current version. Our CI will do the work of publishing
the app to pypi and then bumping to the next version for development.
Below are some handy resource links.
- Project Documentation
- Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as necessary.
- Sphinx is a tool that makes it easy to create intelligent and beautiful documentation, written by Geog Brandl and licnsed under the BSD license.
- pytest helps you write better programs.
- GNU Make is a tool which controls the generation of executables and other non-source files of a program from the program's source files.