- 1 Introduction
- 2 Write test code first
- 3 The test directory
- 4 The control file
- 5 The control.autoqa file
- 6 Test Object
- 6.1 AutoQATest base class
- 6.2 ExceptionCatcher decorator
- 6.3 Test stages
- 6.4 Getting test results
- 6.5 Log files and scratch data
- 6.6 Returning extra data
- 7 How to run AutoQA tests
- 8 References
- 9 Links
Here's some info on writing tests for AutoQA. There's four parts to a test: the test code, the test object, the Autotest control file, and the AutoQA control file. Typically they all live in a single directory, located in the tests/ dir of the autoqa source tree.
Write test code first
I'll say it again: Write the test first. The tests don't require anything from autotest or autoqa. You should have a working test before you even start thinking about AutoQA.
You can package up pre-existing tests or you can write a new test in whatever language you're comfortable with. It doesn't even need to return a meaningful exit code if you don't want it to (even though it is definitely better). You'll handle parsing the output and returning a useful result in the test object.
If you are writing a brand new test, there are some python libraries that have been developed for use in existing AutoQA tests. More information about this will be available once these libraries are packaged correctly, but they are not necessary to write your own tests. You can choose to use whatever language and libraries you want.
The test directory
Create a new directory to hold your test. The directory name will be used as the test name, and the test object name should match that. Choose a name that doesn't use spaces, dashes, or dots. Underscores are acceptable.
Drop your test code into the directory - it can be a bunch of scripts, a tarball of sources that may need compiling, whatever.
Next, from the directory
autoqa/doc/, copy template files
test_class.py.template into your test directory. Rename them to
The control file defines some metadata for this test - who wrote it, what kind of a test it is, what test arguments it uses from AutoQA, and so on. Here's an example control file:
control file for conflicts test
AUTHOR = "Will Woods <email@example.com>" TIME="SHORT" NAME = 'conflict' DOC = """ This test runs potential_conflict from yum-utils to check for possible file / package conflicts. """ TEST_TYPE = 'CLIENT' TEST_CLASS = 'General' TEST_CATEGORY = 'Functional' job.run_test('conflicts', config=autoqa_conf, **autoqa_args)
The following control file items are required for valid AutoQA tests. The first three are important for us, the rest is not so important but still required.
- NAME: The name of the test. Should match the test directory name, the test object name, etc.
- AUTHOR: Your name and email address.
- DOC: A verbose description of the test - its purpose, the logs and data it will generate, and so on.
- TIME: either 'SHORT', 'MEDIUM', or 'LONG'. This defines the expected runtime of the test - either 15 minutes, less than 4 hours, or more than 4 hours.
- TEST_TYPE: either 'CLIENT' or 'SERVER'. Use 'CLIENT' unless your test requires multiple machines (e.g. a client and server for network-based testing).
- TEST_CLASS: This is used to group tests in the UI. 'General' is fine. We may use this field to refer to the test hook in the future.
- TEST_CATEGORY: This defines the category your test is a part of - usually this describes the general type of test it is. Examples include Functional, Stress, Performance, and Regression.
The following control file items are optional, and infrequently used, for AutoQA tests.
DEPENDENCIES = 'POWER, CONSOLE' SYNC_COUNT = 1
- DEPENDENCIES: Comma-separated list of hardware requirements for the test. Currently unsupported.
- SYNC_COUNT: The number of hosts to set up and synchronize for this test. Only relevant for SERVER-type tests that need to run on multiple machines.
Launching the test object
Most tests will have a line in the control file like this:
job.run_test('conflicts', config=autoqa_conf, **autoqa_args)
This will create a 'conflicts' test object (see below) and pass along the following variables.
- Contains string with autoqa.conf file, usually located at
/etc/autoqa/autoqa.conf. Note, though, that some of the values in autoqa_conf are changed by the autoqa harness while scheduling the testrun.
- A dictionary, containing all the hook-specific variables (e.g. kojitag for post-koji-build hook). Documentation on these is to be found in
hooks/[hookname]/READMEfiles. Some more variables may be also present, as described in the template file.
Those variables will be inserted into the control file by the autoqa test harness when it's time to schedule the test.
control.autoqa file allows a test to define any scheduling requirements or modify input arguments. This file will decide whether to run this test at all, on what architectures/distributions it should run, and so on. It is evaluated on the AutoQA server before the test itself is scheduled and run on AutoQA client.
All variables available in
control.autoqa are documented in
doc/control.autoqa.template. You can override them to customize your test's scheduling. Basically you can influence:
- Which event (i.e. hook) the test runs for and under which conditions.
- The type of system the test needs. This includes system architecture, operating system version and whether the system supports virtualization (see autotest labels for additional information)
- Data passed from the hook to the test object.
Here is example
# this test can be run just once and on any architecture, # override the default set of architectures archs = ['noarch'] # this test may be destructive, let's require a virtual machine for it labels = ['virt'] # we want to run this test just for post-koji-build hook if hook not in ['post-koji-build']: execute = False
Similar to the
control file, the
control.autoqa file is a Python script, so you can execute conditional expressions, loops or virtually any other Python statements there. However, it is heavily recommended to keep this file as simple as possible and put all the logic to the test object.
The test object is a python file that defines an object that represents your test. It handles the setup for the test (installing packages, modifying services, etc), running the test code, and sending results to Autotest (and other places).
Convention holds that the test object file - and the object itself - should have the same name as the test. For example, the
conflicts test contains a file named
conflicts.py, which defines a
conflicts class, as follows:
import autoqa.util from autoqa.test import AutoQATest from autoqa.decorators import ExceptionCatcher from autotest_lib.client.bin import utils class conflicts(AutoQATest): ...
The name of the class must match the name given in the
run_test() line of the control file, and test classes must be subclasses of the
AutoQATest class. But don't worry too much about how this works - the
test_class.py.template contains the skeleton of an appropriate test object. Just change the name of the file (and class!) to something appropriate for your test.
AutoQATest base class
This class contains the functionality common to all the tests - i.e. it initializes the variables used for storing results in its
__init__ function. The default initialize method then parses the config string passed in the control file into
self.config, and prepares
self.autotest_url - a url pointing to the autotest storage place, where all the logs will be once the test finishes.
It also contains a
postprocess_iteration method, which uses the
self.outputs to send a pretty formatted email to autoqa-results mailing list.
The AutoQATest base class defines two additional methods -
run_once_failed. These are used by the
ExceptionCatcher decorator when an exception occurs in either the
When exception is raised during the
run_once, the test immediately ends without calling the
postprocess_iteration method, which is supposed to send all the gathered data to mailing list.
This behaviour is, of course, not what one would really want, so here comes the
ExceptionCatcher decorator. When an exception is raised, it calls the function passed as an argument to the decorator.
@ExceptionCatcher("self.run_once_failed") def run_once(self, **kwargs): ...
I.e. if any unhandled exception is thrown during execution of
self.run_once_failed method is called. The
self.run_once_failed method sets the result and summary variables (if unset), and calls
initialize_failed does the same). Once the
run_once_failed method finishes, the exception is re-raised, and the test then ends.
This is an optional method of the test class. This is where you make sure that any required packages are installed, services are started, your test code is compiled, and so on. For example:
def setup(self): utils.system('yum -y install httpd') if utils.system('service httpd status') != 0: utils.system('service httpd start')
This does any pre-test initialization that needs to happen. AutoQA tests typically uses this method to parse the autoqa config data provided by the server or to create initial test result data structures. This is an optional method.
All basic initialization is done in the AutoQATest class, so check it out, before you re-define it.
This is where the test code actually gets run. It's the only required method for your test object.
In short, this method should build the argument list and run the test binary, like so:
@ExceptionCatcher("self.run_once_failed") def run_once(self, baseurl, parents, reponame, **kwargs): os.chdir(self.bindir) cmd = "./sanity.py --scratchdir %s --logdir %s" % (self.tmpdir, self.resultsdir) cmd += " %s" % baseurl retval = utils.system(cmd) if retval != 0: raise error.TestFail
This will run the command, and store its exit code into the retval variable.
Although if you want to 'catch' the output of the command, you can use the
from autotest_lib.client.common_lib import error ... try: output = utils.system_output(cmd, retain_output = True) except error.CmdError, e: output = e.result_obj.stdout ...
Or if you want to have both exit code, and command output then try this out:
... result = utils.run(cmd, ignore_status = True, stdout_tee = utils.TEE_TO_LOGS) output = result.stdout retval = result.exit_status ...
This method is implemented in the AutoQATest base class, and it sends the data gathered in the
self.result/summary/highlights/outputs to the autoqa-results maling list.
You can of course reimplement this function, if you want to (for instance) gather some extra data, or prepare the data gathered in the test before storing them, but please be sure to call the
AutoQATest.postprocess_iteration() afterwards. In general, you should not need to reimplement this function at all.
def postprocess_iteration(self): for line in self.outputs: if line.startswith('Max transfer speed: '): (dummy, max_speed) = line.split('speed: ') keyval['max_speed'] = max_speed self.write_test_keyval(keyval) super(CLASSNAME, self).postprocess_iteration()
(See Returning extra data for details about
This method will be run after each iteration of
run_once(), but note that it gets no arguments passed in. Any data you want from the test run needs to be saved into the test object - hence the use of
Useful test object attributes
test objects have the following attributes available:
outputdir eg. results/<job>/<testname.tag> resultsdir eg. results/<job>/<testname.tag>/results profdir eg. results/<job>/<testname.tag>/profiling debugdir eg. results/<job>/<testname.tag>/debug bindir eg. tests/<test> src eg. tests/<test>/src tmpdir eg. tmp/<tempname>_<testname.tag>
Getting test results
AutoQATest class provides a set of variables (
self.result/summary/highlights/outputs) to be used for storing test results. The point of these, is to be able to have one implementation of the results harness - in the
AutoQATest class. At the time being, the results are being sent to the autoqa-results mailing list, but in the near future, we'll be using a database-based storage, which will give us a better way of reviewing the results. Proper usage of abovementioned variables is crucial to the seamless transition to this tool.
Overall result (self.result)
The overall test result is stored in the variable
self.result. You should set it in
run_once() according to the result of your test. You can choose from these values:
If no value is set in
self.result, a value of
"NEED_INSPECTION" will be used during
If an exception occurs, and is caught by the
self.result is set to
'CRASHED' (if not already set from inside the
self.summary is used as a "$SUBJ" for the purposes of the autoqa-results mailing list. It is ment to contain a short summary of the testrun - e.g. for Conflicts test, it can be "69 packages with file conflicts in rawhide-i386". So basically, it should be a short string describing the outcome of the test.
postprocess_iteration() then adds the name of the test and
self.result, so the whole summary (as used for the mailing list autoqa-results) would be "Conflicts: FAILED;69 packages with file conflicts in rawhide-i386".
self.highlights should contain a digest from the stdout/stderr generated by your test. Maybe selecting the important warnings/errors would be a good idea.
This digest will be at the beginning of the report in the autoqa-results mailing list.
It is usually a good idea to log stdout/stderr of the commands you run in your
run_once(). You should store these in the
self.outputs variable, if you want it to be stored for further use.
Log files and scratch data
Any files written to
self.resultsdir will be saved at the end of the test. Anything written to
self.tmpdir will be discarded.
Returning extra data
Further test-level info can be returned by using
extrainfo = dict() for line in self.results.stdout: if line.startswith("kernel version "): extrainfo['kernelver'] = line.split() ... self.write_test_keyval(extrainfo)
- For per-iteration data (performance numbers, etc) there are three methods:
- Just attr:
- Test attributes are limited to 100 characters.
- Just perf:
- Performance values must be floating-point numbers.
- Just attr:
How to run AutoQA tests
Install AutoQA from GIT
First of all, you'll need to checkout some version from GIT. You can either use master, or some tagged 'release'.
To checkout master branch:
git clone git://git.fedorahosted.org/autoqa.git autoqa cd autoqa
To checkout tagged release:
git clone git://git.fedorahosted.org/autoqa.git autoqa cd autoqa git tag -l # now you'll get a list of tags, at the time of writing this document, the latests tag was v0.3.5-1 git checkout -b v0.3.5-1 tags/v0.3.5-1
Add your test
The best way to add your test into the directory structure is to create a new branch, copy your test and make install autoqa.
git checkout -b my_new_awesome_test cp -r /path/to/directory/with/your/test ./tests make clean install
Run your test
This is dependent on the hook, your test is supposed to run under. Let's assume, that it is the
This command will show you current koji builds e.g.
No previous run - checking builds in the past 3 hours autoqa post-koji-build --name espeak --kojitag dist-f12-updates-candidate --arch x86_64 --arch i686 espeak-1.42.04-1.fc12 autoqa post-koji-build --name kdemultimedia --kojitag dist-f11-updates-candidate --arch x86_64 kdemultimedia-4.3.4-1.fc11 autoqa post-koji-build --name kdeplasma-addons --kojitag dist-f11-updates-candidate --arch x86_64 kdeplasma-addons-4.3.4-1.fc11 autoqa post-koji-build --name cryptopp --kojitag dist-f12-updates-candidate --arch x86_64 --arch i686 cryptopp-5.6.1-0.1.svn479.fc12 autoqa post-koji-build --name drupal --kojitag dist-f12-updates-candidate --arch x86_64 drupal-6.15-1.fc12 autoqa post-koji-build --name seamonkey --kojitag dist-f12-updates-candidate --arch x86_64 --arch i686 seamonkey-2.0.1-1.fc12 ... output trimmed ...
So to run your test, just select one of the lines, and add parameters
--test name_of_your_test --local, which will locally execute the test you just wrote.
If you wanted to run rpmlint, for example, the command would be
autoqa post-koji-build --name espeak --kojitag dist-f12-updates-candidate --arch x86_64 --arch i686 espeak-1.42.04-1.fc12 --test rpmlint --local