[T104] Scenario tests require a services decorator
[T105] Tests cannot use setUpClass/tearDownClass
[T106] vim configuration should not be kept in source files.
[T107] Check that a service tag isn't in the module path
[T108] Check no hyphen at the end of rand_name() argument
decorators.skip_because from tempest.lib
[T110] Check that service client names of GET should be consistent
[T111] Check that service client names of DELETE should be consistent
[T112] Check that tempest.lib should not import local tempest code
[T113] Check that tests use data_utils.rand_uuid() instead of uuid.uuid4()
[T114] Check that tempest.lib does not use tempest config
[N322] Method's default argument shouldn't be mutable
According to the The Zen of Python the Errors should never pass silently. Tempest usually runs in special environment (jenkins gate jobs), in every error or failure situation we should provide as much error related information as possible, because we usually do not have the chance to investigate the situation after the issue happened.
In every test case the abnormal situations must be very verbosely explained, by the exception and the log.
In most cases the very first issue is the most important information.
Try to avoid using try blocks in the test cases, as both the except and finally blocks could replace the original exception, when the additional operations leads to another exception.
Just letting an exception to propagate, is not a bad idea in a test case, at all.
Try to avoid using any exception handling construct which can hide the errors origin.
If you really need to use a try block, please ensure the original exception at least logged. When the exception is logged you usually need to raise the same or a different exception anyway.
Use of self.addCleanup is often a good way to avoid having to catch exceptions and still ensure resources are correctly cleaned up if the test fails part way through.
Use the self.assert* methods provided by the unit test framework. This signals the failures early on.
Avoid using the self.fail alone, its stack trace will signal the self.fail line as the origin of the error.
Avoid constructing complex boolean expressions for assertion. The self.assertTrue or self.assertFalse without a msg argument, will just tell you the single boolean value, and you will not know anything about the values used in the formula, the msg argument might be good enough for providing more information.
Most other assert method can include more information by default. For example self.assertIn can include the whole set.
If the test case fails you can see the related logs and the information carried by the exception (exception class, backtrack and exception info). This and the service logs are your only guide to finding the root cause of flaky issues.
Every test_method must be callable individually and MUST NOT depends on, any other test_method or test_method ordering.
Test cases MAY depend on commonly initialized resources/facilities, like credentials management, testresources and so on. These facilities, MUST be able to work even if just one test_method is selected for execution.
Service tagging is used to specify which services are exercised by a particular test method. You specify the services with the tempest.test.services decorator. For example:
Valid service tag names are the same as the list of directories in tempest.api that have tests.
For scenario tests having a service tag is required. For the api tests service tags are only needed if the test method makes an api call (either directly or indirectly through another service) that differs from the parent directory name. For example, any test that make an api call to a service other than nova in tempest.api.compute would require a service tag for those services, however they do not need to be tagged as compute.
Test level resources should be cleaned-up after the test execution. Clean-up is best scheduled using addCleanup which ensures that the resource cleanup code is always invoked, and in reverse order with respect to the creation order.
Test class level resources should be defined in the resource_setup method of the test class, except for any credential obtained from the credentials provider, which should be set-up in the setup_credentials method.
The test base class BaseTestCase defines Tempest framework for class level fixtures. setUpClass and tearDownClass are defined here and cannot be overwritten by subclasses (enforced via hacking rule T105).
Set-up is split in a series of steps (setup stages), which can be overwritten by test classes. Set-up stages are:
Tear-down is also split in a series of steps (teardown stages), which are stacked for execution only if the corresponding setup stage had been reached during the setup phase. Tear-down stages are:
Skipping tests should be based on configuration only. If that is not possible, it is likely that either a configuration flag is missing, or the test should fail rather than be skipped. Using discovery for skipping tests is generally discouraged.
When running a test that requires a certain "feature" in the target cloud, if that feature is missing we should fail, because either the test configuration is invalid, or the cloud is broken and the expected "feature" is not there even if the cloud was configured with it.
Error handling is an important aspect of API design and usage. Negative tests are a way to ensure that an application can gracefully handle invalid or unexpected input. However, as a black box integration test suite, Tempest is not suitable for handling all negative test cases, as the wide variety and complexity of negative tests can lead to long test runs and knowledge of internal implementation details. The bulk of negative testing should be handled with project function tests. The exception to this rule is API tests used for interoperability testing.
If a test is broken because of a bug it is appropriate to skip the test until bug has been fixed. You should use the skip_because decorator so that Tempest's skip tracking tool can watch the bug status.
@skip_because(bug="980688") def test_this_and_that(self): ...
Tempest by default runs its tests in parallel this creates the possibility for interesting interactions between tests which can cause unexpected failures. Dynamic credentials provides protection from most of the potential race conditions between tests outside the same class. But there are still a few of things to watch out for to try to avoid issues when running your tests in parallel.
Any tempest test case can be flagged as a stress test. With this flag it will be automatically discovery and used in the stress test runs. The stress test framework itself is a facility to spawn and control worker processes in order to find race conditions (see tempest/stress/ for more information). Please note that these stress tests can't be used for benchmarking purposes since they don't measure any performance characteristics.
@stresstest(class_setup_per='process') def test_this_and_that(self): ...
This will flag the test test_this_and_that as a stress test. The parameter class_setup_per gives control when the setUpClass function should be called.
Good candidates for stress tests are:
The sample config file is autogenerated using a script. If any changes are made to the config variables in tempest/config.py then the sample config file must be regenerated. This can be done running:
Unit tests are a separate class of tests in tempest. They verify tempest itself, and thus have a different set of guidelines around them:
For tests being added we need to require inline documentation in the form of docstrings to explain what is being tested. In API tests for a new API a class level docstring should be added to an API reference doc. If one doesn't exist a TODO comment should be put indicating that the reference needs to be added. For individual API test cases a method level docstring should be used to explain the functionality being tested if the test name isn't descriptive enough. For example:
def test_get_role_by_id(self): """Get a role by its id."""
the docstring there is superfluous and shouldn't be added. but for a method like:
def test_volume_backup_create_get_detailed_list_restore_delete(self): pass
a docstring would be useful because while the test title is fairly descriptive the operations being performed are complex enough that a bit more explanation will help people figure out the intent of the test.
For scenario tests a class level docstring describing the steps in the scenario is required. If there is more than one test case in the class individual docstrings for the workflow in each test methods can be used instead. A good example of this would be:
class TestVolumeBootPattern(manager.ScenarioTest): """ This test case attempts to reproduce the following steps: * Create in Cinder some bootable volume importing a Glance image * Boot an instance from the bootable volume * Write content to the volume * Delete an instance and Boot a new instance from the volume * Check written content in the instance * Create a volume snapshot while the instance is running * Boot an additional instance from the new snapshot based volume * Check written content in the instance booted from snapshot """
Every function that provides a test must have an idempotent_id decorator that is a unique uuid-4 instance. This ID is used to complement the fully qualified test name and track test functionality through refactoring. The format of the metadata looks like:
@test.idempotent_id('585e934c-448e-43c4-acbf-d06a9b899997') def test_list_servers_with_detail(self): # The created server should be in the detailed list of all servers ...
Tempest.lib includes a check-uuid tool that will test for the existence and uniqueness of idempotent_id metadata for every test. If you have tempest installed you run the tool against Tempest by calling from the tempest repo:
It can be invoked against any test suite by passing a package name:
check-uuid --package <package_name>
Tests without an idempotent_id can be automatically fixed by running the command with the --fix flag, which will modify the source package by inserting randomly generated uuids for every test that does not have one:
The check-uuid tool is used as part of the tempest gate job to ensure that all tests have an idempotent_id decorator.
Starting with the OpenStack Icehouse release Tempest no longer has any stable branches. This is to better ensure API consistency between releases because the API behavior should not change between releases. This means that the stable branches are also gated by the Tempest master branch, which also means that proposed commits to Tempest must work against both the master and all the currently supported stable branches of the projects. As such there are a few special considerations that have to be accounted for when pushing new changes to tempest.
When adding tests for new features that were not in previous releases of the projects the new test has to be properly skipped with a feature flag. Whether this is just as simple as using the @test.requires_ext() decorator to check if the required extension (or discoverable optional API) is enabled or adding a new config option to the appropriate section. If there isn't a method of selecting the new feature from the config file then there won't be a mechanism to disable the test with older stable releases and the new test won't be able to merge.
When trying to land a bug fix which changes a tested API you'll have to use the following procedure:
- Propose change to the project, get a +2 on the change even with failing - Propose skip on Tempest which will only be approved after the corresponding change in the project has a +2 on change - Land project change in master and all open stable branches (if required) - Land changed test in Tempest
Otherwise the bug fix won't be able to land in the project.
If a test is being added for a feature that exists in all the current releases of the projects then the only concern is that the API behavior is the same across all the versions of the project being tested. If the behavior is not consistent the test will not be able to merge.
For new tests being added to Tempest the assumption is that the API being tested is considered stable and adheres to the OpenStack API stability guidelines. If an API is still considered experimental or in development then it should not be tested by Tempest until it is considered stable.