Skip to main content
Join the official 2019 Python Developers SurveyStart the survey!

A library for testing Python applications in self-contained Kerberos 5 environments

Project description

k5test is a library for setting up self-contained Kerberos 5 environments, and running Python unit tests inside those environments. It is based on the file of the same name found alongside the MIT Kerberos 5 unit tests.

Using k5test to set up a Kerberos 5 deployment

k5test can be used to set up a self-contained MIT Kerberos 5 environment. This is useful for testing applications without having to manipulate existing Kerberos realms, or having to set up a full Kerberos deployment by hand.

To set up a realm, use the k5test.K5Realm class. The constructor accepts several useful arguments for controlling which parts get set up; refer to the inline documentation for more information.

Using k5test to run unit tests

Instead of having test cases inherit from unittest.TestCase, inherit from k5test.KerberosTestCase, which will automatically set up a Kerberos 5 environment, before the test case, and tear it down afterwards.

Additionally, several decorators are defined. the k5test.gssapi_extension_test(extension_name, human_readable_name) decorator (which requires python-gssapi) allows you to skip tests with installations that don’t support a particular GSSAPI extension. The the k5test.krb_minversion_test(target_version, problem_name) decorator allows you to skip tests when running a version of krb5 less that the required version. The k5test.krb_plugin_test(plugin_type, plugin_name) decorator allows you to skip tests for installations that don’t have a particular plugin installed.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for k5test, version 0.9.2
Filename, size File type Python version Upload date Hashes
Filename, size k5test-0.9.2.tar.gz (9.5 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page