Testing Anaconda

This document describes how to run Anaconda tests. Anaconda has various tests such as unit tests, rpm tests and translation tests. All the tests will be run together if you follow the steps below.

You have two possible ways how to run these tests:

  • running the tests directly on your system
  • using mock utility which run a container on your system

Read below about their benefits and drawbacks.

Run tests locally

Before you are able to run Anaconda tests you need to install all required dependencies. To get list of dependencies you can use:

[dnf|yum] install -y $(./scripts/testing/dependency_solver.py)

Prepare the environment and build the sources:


Executing the tests can be done with:

make check

To run a single test do:

make TESTS=install/nosetests.sh check

See tests/Makefile.am for possible values. Alternatively you can try:

make ci

This has the advantage of producing Python test coverage for all tests. In case the ci target fails there is also a coverage-report target which can be used to combine the multiple .coverage files into one and produce a human readable report.

Run tests inside Mock

When using the `ci’ target in a mock you need to use a regular user account which is a member of the `mock’ group. You can update your account by running the command:

# usermod -a -G mock <username>

To prepare testing mock environment call:

./scripts/testing/setup-mock-test-env.py [mock-configuration]

Mock configuration can be path to a file or name of file in /etc/mock/*.cfg without suffix. For detail configuration look on the script help output.

Then you can run tests by:

mock -r [mock_configuration] --chroot -- "cd /anaconda && ./autogen.sh && ./configure && make ci"

Or you can just attach to shell inside of the prepared mock environment:

mock -r [mock_configuration] --shell

Test Suite Architecture

Anaconda has a complex test suite structure where each top-level directory represents a different class of tests. They are

  • cppcheck/ - static C/C++ code analysis using the cppcheck tool;
  • dd_tests/ - Python unit tests for driver disk utilities (utils/dd);
  • dracut_tests/ - Python unit tests for the dracut hooks used to configure the installation environment and load Anaconda;
  • gettext/ - sanity tests of files used for translation; Written in Python and Bash;
  • glade/ - sanity tests for .glade files. Written in Python;
  • gui/ - specialized test suite for the graphical interface of anaconda. This is written in Python and uses the dogtail accessibility module. All tests are executed using ./anaconda.py from the local directory;
  • install/ - basic RPM sanity test. Checks if anaconda.rpm can be installed in a temporary directory without failing dependencies or other RPM issues;
  • lib/ - helper modules used during testing;
  • pyanaconda_tests/ - unit tests for the pyanaconda module;
  • pylint/ - checks the validity of Python source code using the pocketlint tool;
  • regex_tests/ - Python unit tests for regular expressions defined in pyanaconda.regexes;
  • storage/ - test cases used to verify partitioning scenarios for success or expected failures. The scenarios are described using kickstart snippets. Written in Python with a custom test case framework based on blivet;


All Python unit tests inherit from the standard unittest.TestCase class unless specified otherwise!

Some tests require root privileges and will be skipped if running as regular user!