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{{admon/important| Start with a test | Before considering integrating a test into [[AutoQA]] or [[Autotest]], create a '''working''' test. Creating a working test should not require knowledge of autotest or autoqa. This page outlines the process of integrating an existing test into [[AutoQA]].}} | {{admon/important| Start with a test | Before considering integrating a test into [[AutoQA]] or [[Autotest]], create a '''working''' test. Creating a working test should not require knowledge of autotest or autoqa. This page outlines the process of integrating an existing test into [[AutoQA]].}} | ||
{{admon/note|No support for per-package tests|AutoQA currently supports only generic Fedora tests (tests that concern packages - or other objects - in general). We have plans to support per-package tests in the future (e.g. tests for {{package|sshd}}, tests for {{package|gimp}}, etc). Until AutoQA support exists, consider merging your test into upstream's test suite, or including your test in the Fedora rpm package, and have it executed during <code>%check</code> or ask the package maintainer to manually execute tests and provide results during bodhi updates.}} | |||
== Write test code first == | == Write test code first == | ||
Line 23: | Line 25: | ||
== The {{filename|control}} file == | == The {{filename|control}} file == | ||
The control file defines some metadata for this test | The control file defines some metadata for this test and executes the test. Here's an example control file: | ||
=== control file for conflicts test === | === control file for conflicts test === | ||
<pre> | <pre> | ||
DOC = """ | DOC = """ | ||
This test runs potential_conflict from yum-utils to check for possible | This test runs potential_conflict from yum-utils to check for possible | ||
file / package conflicts. | file / package conflicts. | ||
""" | """ | ||
MAINTAINER = "Martin Krizek <mkrizek@redhat.com>" | |||
job.run_test('conflicts' | job.run_test('conflicts', **autoqa_args) | ||
</pre> | </pre> | ||
=== Required data === | === Required data === | ||
The following control file items are required for valid AutoQA tests | The following control file items are required for valid AutoQA tests: | ||
* '''DOC''': A verbose description of the test - its purpose, the logs and data it will generate, and so on. | * '''DOC''': A verbose description of the test - its purpose, the logs and data it will generate, and so on. | ||
* ''' | * '''MAINTAINER''': The contact person for this test. If it doesn't work or there are some problems, then we know who to contact. | ||
=== Launching the test object === | === Launching the test object === | ||
Most tests will have a line in the control file like this: | Most tests will have a line in the control file like this: | ||
<pre>job.run_test('conflicts' | <pre>job.run_test('conflicts', **autoqa_args)</pre> | ||
This will create a 'conflicts' ''test object'' (see below) and pass along | This will create a 'conflicts' ''test object'' (see below) and pass along all required variables. | ||
; <code>autoqa_args</code> | ; <code>autoqa_args</code> | ||
Line 95: | Line 73: | ||
labels = ['virt'] | labels = ['virt'] | ||
# we want to run this test just for post-koji-build event | # we want to run this test just for post-koji-build event; | ||
if event | # please note that 'execute' defaults to 'False' and to have | ||
execute = | # the test scheduled, control.autoqa needs to complete with | ||
# 'execute' set to 'True' | |||
if event in ['post-koji-build']: | |||
execute = True | |||
</pre> | </pre> | ||
Line 109: | Line 90: | ||
<pre> | <pre> | ||
import | from autotest_lib.client.bin import utils | ||
from autoqa.test import AutoQATest | from autoqa.test import AutoQATest | ||
from autoqa.decorators import ExceptionCatcher | from autoqa.decorators import ExceptionCatcher | ||
class conflicts(AutoQATest): | class conflicts(AutoQATest): | ||
Line 122: | Line 102: | ||
=== AutoQATest base class === | === AutoQATest base class === | ||
This class contains the functionality common to all the tests | This class contains the functionality common to all the tests. When you override some of its methods (like <code>setup()</code>, <code>initialize()</code> or <code>run_once()</code>) it is important to call the parent method first. | ||
The most important attribute of this class is <code>detail</code> (an instance of <code>TestDetail</code> class) that is used for storing all test outcomes. | |||
The most important methods include <code>log()</code> that you are advised to use for logging test output and <code>post_results()</code> that you can use for changing the way your test results are reported (if you're not satisfied with the default behavior). | |||
Whenever your test crashes, the <code>process_exception()</code> method will automatically catch the exception and log it (more on that in the next section). | |||
=== ExceptionCatcher decorator === | === ExceptionCatcher decorator === | ||
When an unintended exception is raised during test setup (<code>setup()</code>), initialization (<code>initialize()</code>) or execution (<code>run_once()</code>) the | When an unintended exception is raised during test setup (<code>setup()</code>), initialization (<code>initialize()</code>) or execution (<code>run_once()</code>) and <code>ExceptionCatcher()</code> decorator is used for these methods (the default), it calls the <code>process_exception()</code> method instead of simply crashing. In this way we are able to operate and submit results even of crashed tests. | ||
When such event occurs, the test result is set to ''CRASHED'', the exception traceback is added into the test output and the exception info is put into the test summary. Then the results are reported in a standard way (by creating log files and sending emails). Finally the original exception is re-raised. | |||
If a different recovery procedure than <code>process_exception()</code> is desired, you may define the method and provide the method name as an argument to the decorator. For example, see below: | |||
<pre> | <pre> | ||
Line 154: | Line 127: | ||
</pre> | </pre> | ||
{{admon/important| **kwargs parameter | Because of some nasty Autotest magic, it is required to have the <code>**kwargs</code> argument in the decorated function. This is because Autotest magic can not find out | {{admon/important| **kwargs parameter | Because of some nasty Autotest magic, it is required to have the <code>**kwargs</code> argument in the decorated function. This is because Autotest magic can not find out what is the correct subset of arguments from <code>**autoqa_args</code> to pass, so it passes them all - which causes error, if you don't have them all listed.}} | ||
You are advised to call the original <code>process_exception()</code> method inside your custom handler, if applicable. | |||
=== Test stages === | === Test stages === | ||
Line 165: | Line 140: | ||
@ExceptionCatcher() | @ExceptionCatcher() | ||
def setup(self): | def setup(self): | ||
utils.system('yum -y install httpd') | retval = utils.system('yum -y install httpd') | ||
assert retval == 0 | |||
if utils.system('service httpd status') != 0: | if utils.system('service httpd status') != 0: | ||
utils.system('service httpd start') | utils.system('service httpd start') | ||
</pre> | </pre> | ||
==== initialize() ==== | ==== initialize() ==== | ||
This does any pre-test initialization that needs to happen. AutoQA tests typically uses this method to | This does any pre-test initialization that needs to happen. AutoQA tests typically uses this method to initialize various structures, set <code>self.detail.id</code> and similar attributes. This is an optional method. | ||
All basic initialization is done in the AutoQATest class, so check it out, before you re-define it. | All basic initialization is done in the AutoQATest class, so check it out, before you re-define it. | ||
Line 184: | Line 159: | ||
In short, this method should build the argument list, run the test binary and process the test result and output. For example, see below: | In short, this method should build the argument list, run the test binary and process the test result and output. For example, see below: | ||
<pre> | <pre> | ||
@ExceptionCatcher() | @ExceptionCatcher() | ||
def run_once(self, baseurl, parents, | def run_once(self, baseurl, parents, name, **kwargs): | ||
super(self.__class__, self).run_once() | super(self.__class__, self).run_once() | ||
cmd = './potential_conflict.py --tempcache --newest ' \ | |||
'--repofrompath=target,%s --repoid=target' % baseurl | |||
out = utils.system_output(cmd, retain_output=True) | |||
self.log(out, printout=False) | |||
</pre> | </pre> | ||
This above example will run the command {{command|potential_conflict.py}} and save its output. It will raise <code>CmdError</code> if the command ends with non-zero exit code. | |||
If you need to receive just the exit code of the command, use <code>utils.system()</code> method instead. | |||
Additionally, if you need both the exit code and command output, use the built-in <code>utils.run()</code> method: | |||
<pre> | <pre> | ||
cmd_result = utils.run(cmd, ignore_status=True, stdout_tee=utils.TEE_TO_LOGS, stderr_tee=utils.TEE_TO_LOGS) | |||
output = cmd_result.stdout | |||
retval = cmd_result.exit_status | |||
</pre> | </pre> | ||
==== Useful test object attributes ==== | |||
<code>AutoQATest</code> instances have the following attributes available<ref>http://autotest.kernel.org/browser/branches/0.10.1/client/common_lib/test.py#L9</ref>: | |||
<pre> | <pre> | ||
outputdir eg. results/<job>/<testname.tag> | outputdir eg. results/<job>/<testname.tag> | ||
Line 254: | Line 199: | ||
=== Test Results === | === Test Results === | ||
The <code>AutoQATest</code> class provides a | The <code>AutoQATest</code> class provides a <code>detail</code> attribute to be used for storing test results. This is an instance of <code>TestDetail</code> class and serves as a container for everything related to the test outcome. | ||
{{admon/note||If your test tests several independent things at once, you can create several <code>TestDetail</code> objects and then submit results for all of them manually. For example ''upgradepath'' test uses that for reporting results for every proposed Bodhi update. But this is really advanced stuff, see ''upgradepath'' or ''depcheck'' tests for inspiration.}} | |||
==== ID ==== | |||
Every test run should contain a string identification of the test in <code>self.detail.id</code>. This doesn't have to be unique, but it should be descriptive enough for the log reader to quickly understand what has been tested. For RPM-based tests this will be probably a build NVR. For Bodhi update-based tests this will be probably a Bodhi update title. For yum repository-based tests this will be a repository name or address. And so on. | |||
Usually the ID is set in <code>initialize()</code> method (ASAP) because it is not changed throughout the test: | |||
<pre> | |||
@ExceptionCatcher() | |||
def initialize(self, config, nvr, **kwargs): | |||
super(self.__class__, self).initialize(config) | |||
self.detail.id = nvr | |||
</pre> | |||
==== Architecture ==== | |||
If your test is not an architecture-independent test (aka ''noarch'' test, the default), you must set the architecture of tested items in <code>self.detail.arch</code>. That is usually also done in <code>initialize()</code> method. | |||
==== Overall Result ==== | ==== Overall Result ==== | ||
The overall test result is stored in | The overall test result is stored in <code>self.detail.result</code>. You should set it in <code>run_once()</code> according to the result of your test. You can choose from these values: | ||
* <code>PASSED</code> - the test has passed, there is no problem with it | * <code>PASSED</code> - the test has passed, there is no problem with it | ||
* <code>INFO</code> - the test has passed, but there is some important information that a relevant person would very probably like to review | * <code>INFO</code> - the test has passed, but there is some important information that a relevant person would very probably like to review | ||
* <code>FAILED</code> - the test has failed, requirements are not met | * <code>FAILED</code> - the test has failed, requirements are not met | ||
* <code>NEEDS_INSPECTION</code> ''(default)''- the test has failed, but a relevant person is needed to inspect | * <code>NEEDS_INSPECTION</code> ''(default)''- the test has failed, but a relevant person is needed to inspect it and possibly may waive the errors | ||
* <code>ABORTED</code> - some third party error has occurred (networking error, external script used for testing has crashed, etc) and the test could not complete because of that | * <code>ABORTED</code> - some third party error has occurred (networking error, external script used for testing has crashed, etc) and the test could not complete because of that. Re-running this test with same input arguments could solve this problem. | ||
* <code>CRASHED</code> - the test has crashed because of a programming error somewhere in our code (test script or autoqa code) | * <code>CRASHED</code> - the test has crashed because of a programming error somewhere in our code (test script or autoqa code). Close inspection is necessary to be able to solve this issue. | ||
If no value is set in <code>self.result</code>, a value of <code>NEEDS_INSPECTION</code> | If no value is set in <code>self.detail.result</code>, a value of <code>NEEDS_INSPECTION</code> is used. | ||
If an exception occurs, and is caught by the <code>ExceptionCatcher</code> decorator (i.e. you don't catch it yourself), <code>self.result</code> is set to <code>CRASHED</code>. | If an exception occurs, and is caught by the <code>ExceptionCatcher</code> decorator (i.e. you don't catch it yourself), <code>self.detail.result</code> is set to <code>CRASHED</code>. | ||
===== Using ABORTED result properly ===== | ===== Using ABORTED result properly ===== | ||
If you want to end your test with <code>ABORTED</code> result, simple set <code>self.result</code> and then re-raise the original exception. <code>self.summary</code> will be filled-in automatically (extracted from the exception message), if empty. | If you want to end your test with <code>ABORTED</code> result, simple set <code>self.detail.result</code> and then re-raise the original exception. <code>self.detail.summary</code> will be filled-in automatically (extracted from the exception message), if empty. | ||
<pre> | <pre> | ||
Line 279: | Line 243: | ||
//download from Koji | //download from Koji | ||
except IOError, e: //or some other error | except IOError, e: //or some other error | ||
self.result = 'ABORTED' | self.detail.result = 'ABORTED' | ||
raise | raise | ||
</pre> | </pre> | ||
If you don't have any exception to re-raise but still want to end the test, again set <code>self.result</code>, but this time be sure to also provide an explanation in <code>self.summary</code> and then end the test by raising <code>autotest_lib.client.common_lib.error.TestFail</code>. Alternatively you can provide the error explanation as an argument to the <code>TestFail</code> class instead of filling in <code>self.summary</code>. | If you don't have any exception to re-raise but still want to end the test, again set <code>self.detail.result</code>, but this time be sure to also provide an explanation in <code>self.detail.summary</code> and then end the test by raising <code>autotest_lib.client.common_lib.error.TestFail</code>. Alternatively you can provide the error explanation as an argument to the <code>TestFail</code> class instead of filling in <code>self.detail.summary</code>. | ||
<pre> | <pre> | ||
Line 289: | Line 253: | ||
foo = //do some stuff | foo = //do some stuff | ||
if foo == None: | if foo == None: | ||
self.result = 'ABORTED' | self.detail.result = 'ABORTED' | ||
raise error.TestFail('No result returned from service bar') | raise error.TestFail('No result returned from service bar') | ||
</pre> | </pre> | ||
==== | ==== Summary ==== | ||
The <code>self.detail.summary</code> should contain a few words summarizing the test output. It is then used in the log overview and in the email subject. E.g. for ''conflicts'' test it can be ''"69 packages with file conflicts"''. Or for ''rpmlint'' test it can be ''"3 errors, 5 warnings"''. Don't repeat test name, test result or test ID in here. | |||
==== Output ==== | |||
Log any test output you want to save (to be emailed and stored in a log file on the server) by using <code>self.log()</code> method. Usually this is used for saving important information throughout the test. For ''rpmlint'' test this may include information which RPM packages will be downloaded and tested, and then the very output of the ''rpmlint'' command. | |||
==== | <pre> | ||
self.log('Build to be tested: %s' % nvr) | |||
cmd = '...' | |||
output = utils.system_output(cmd, retain_output=True) | |||
self.log(output, printout=False) | |||
... | |||
self.log('Found %d errors in the command output' % errors, stderr=True) | |||
</pre> | |||
The <code>self. | The output is stored in <code>self.detail.output</code> variable. You can modify it if needed (for example filter out some lines you don't want to see in the log), but you're highly discouraged from adding new content to that variable directly (use <code>log()</code> method instead). | ||
<code> | {{admon/note|Know when to <code>print</code>|You can also use <code>print</code> statements in your code. But note that these lines won't be visible in the test log (but they will be in the ''[[#Log_files_and_scratch_data|debug log]]''). You can use them for printing low-level details that can potentially help you find a problem later. If you want something in between (not visible in the test log, but better accessible than debug log), consider using <code>self.log(message, output{{=}}False)</code>. That won't show up the in the test log, but it will be visible in the ''full log''.}} | ||
==== Highlights ==== | ==== Highlights ==== | ||
If you want to emphasize a certain line or set of lines in your output, you can do it by highlighting them. That enables the reader to easily spot warnings and errors amongst hundreds of lines of output. It is usually done by: | |||
<pre> | |||
self.log('RPM checksum invalid', highlight=True) | |||
</pre> | |||
You can also provide a descriptive comment to the highlighted lines: | |||
<pre> | |||
self.log('= Problems overview =\n %s' % problems, highlight='This test will not pass until all of these problems are solved.') | |||
</pre> | |||
If you need to highlight a line that has been already logged (e.g. part of the command output), you can directly assign to <code>self.detail.highlights</code> variable (it is a list of tuples <code>(line, comment)</code>). | |||
==== Additional log fields ==== | |||
You can provide some additional log fields to be displayed in your log. Explore <code>self.detail.log</code> variable (instance of <code>PrettyLog</code> class). Especially these attributes: | |||
* <code>summary_detail</code> - allows you to provide additional detail for your summary section | |||
* <code>kojitag</code>/<code>bodhi_title</code>/<code>bodhi_id</code> - allows you to provide more information about which Kojitag/Bodhi update this test is related to | |||
* <code>custom_fields</code> - allows you to specify any custom field for the log overview section | |||
==== Extra Data ==== | ==== Extra Data ==== | ||
Line 344: | Line 316: | ||
# <code>self.write_perf_keyval(perf_dict)</code> - Store test performance metrics (numerical data). Performance values must be floating-point numbers. | # <code>self.write_perf_keyval(perf_dict)</code> - Store test performance metrics (numerical data). Performance values must be floating-point numbers. | ||
# <code>self.write_iteration_keyval(attr_dict, perf_dict)</code> - Storing both, attributes and performance data | # <code>self.write_iteration_keyval(attr_dict, perf_dict)</code> - Storing both, attributes and performance data | ||
{{admon/note|Not displayed|This extra data are not yet displayed anywhere in the log, but you can access them in the test results directory.}} | |||
==== Log files and scratch data ==== | ==== Log files and scratch data ==== | ||
For any test execution several logs are created. The default log is {{filename|<test_id>.html}} and it is being linked and emailed to any configured recipients. It is designated for the large audience. | |||
There is also an {{filename|full.log}}. It contains everything that has been logged throughout the test execution (the default log may have some lines filtered out, but they should be always present in this log). | |||
The most detailed log is ''debug log'' placed at {{filename|debug/client.DEBUG}} at root test results directory. Into that file autotest automatically logs everything printed on the screen and the full output of any commands you run. | |||
If you want to store a custom file (like your own log), just save it to <code>self.resultsdir</code> directory. All those files will be saved at the end of the test. | |||
If you need to store some scratch data that should be discarded on test finish, use <code>self.tmpdir</code> directory for that. | |||
==== Posting feedback into Bodhi ==== | |||
After the result of a test is known, it can be sent into Bodhi. You need to manually call <code>post_results()</code> method at the end of our test and provide a <code>bodhi</code> parameter. | |||
<pre> | |||
# Report test result to Bodhi | |||
# 'name' variable contains Bodhi update title relevant for this test | |||
self.post_results(bodhi = {'title': name}) | |||
</pre> | |||
==== ResultsDB ==== | |||
Results are also automagically stored into the ResultsDB <i>FIXME: add URL of resultsdb frontend</i>. The only stuff, you need to take care of are some 'identification' data. For example, when your test deals with packages/builds, you want to store <code>envr</code>, maybe <code>kojitag</code> or another usefull information. | |||
To store this information, add appropriate key-value pairs to the <code>self.detail.keyvals</code> dictionary. | |||
# taken from rpmguard | |||
self.detail.keyvals = {'kojitag': kojitag, 'envr': nvr} | |||
Even though the key-value pairs are entirely up to your decision, please make sure, that you store envr(s) of the tested packages/builds/whatever-has-envr under the 'envr' key. | |||
Also, you can store multiple values under the same key, when the value is list of strings: | |||
self.detail.keyvals = {'envr': ['foo', 'bar', 'foobar']} | |||
===== Tests with multiple results per testrun ===== | |||
Some tests produce more results in one testrun (e.g. Depcheck). If you want to store them separately in ResultsDB, make sure to set the <code>self.is_multiresult</code> attribute to True. | |||
Then you can create multiple TestDetail instances (e.g. one for each tested package/update/whatever), fill them out (don't forget the test_detail.keyvals), and post them using <code>self.post_results()</code> method. | |||
... | |||
all_test_details = [] | |||
for build in all_builds_to_test: | |||
td = TestDetail(self, id = build['nvr'], arch = arch) | |||
all_test_details.append(td) | |||
... | |||
td.result = "PASSED" | |||
td.keyvals = {'envr': build['nvr'], ...} | |||
... | |||
for td in all_test_details: | |||
self.post_results(td) | |||
... | |||
self.test_detail.keyvals = {'envr': [build['nvr'] for build in all_builds_to_test]} | |||
... | |||
This will create multiple 'Testrun' records in the ResultsDB, one for each TestDetail created & reported. And one 'Job' record, which encapsulates all the 'Testruns'. | |||
== How to run AutoQA tests == | == How to run AutoQA tests == | ||
Line 413: | Line 434: | ||
{{admon/important| --local| It is important to add the <code>--local</code> parameter. If you won't, the test will fail to run provided that you don't have [[Install and configure autotest|Autotest server]] installed and configured.}} | {{admon/important| --local| It is important to add the <code>--local</code> parameter. If you won't, the test will fail to run provided that you don't have [[Install and configure autotest|Autotest server]] installed and configured.}} | ||
== Debugging problems == | |||
If your test behaves incorrectly in certain cases, you can use python debugger even when it is run through AutoQA/Autotest framework. Add <code>import pdb; pdb.set_trace()</code> line where you want to stop the program and begin debugging: | |||
<pre> | |||
@ExceptionCatcher() | |||
def run_once(self, **kwargs): | |||
super(self.__class__, self).run_once() | |||
do_some_stuff() | |||
import pdb | |||
pdb.set_trace() | |||
do_some_other_stuff() | |||
</pre> | |||
Then [[#Run your test|run your test]] with <code>--local</code> option. You will be given a Pdb shell on the chosen line: | |||
<pre> | |||
16:02:08 INFO | > /usr/share/autotest/client/site_tests/rpmlint/rpmlint.py(51)run_once() | |||
16:02:08 INFO | -> self.log('%s\n%s\n%s' % ('='*40, nvr, '='*40)) | |||
help | |||
16:02:22 INFO | (Pdb) | |||
16:02:22 INFO | Documented commands (type help <topic>): | |||
16:02:22 INFO | ======================================== | |||
16:02:22 INFO | EOF bt cont enable jump pp run unt | |||
16:02:22 INFO | a c continue exit l q s until | |||
16:02:22 INFO | alias cl d h list quit step up | |||
16:02:22 INFO | args clear debug help n r tbreak w | |||
16:02:22 INFO | b commands disable ignore next restart u whatis | |||
16:02:22 INFO | break condition down j p return unalias where | |||
16:02:22 INFO | | |||
16:02:22 INFO | Miscellaneous help topics: | |||
16:02:22 INFO | ========================== | |||
16:02:22 INFO | exec pdb | |||
16:02:22 INFO | | |||
16:02:22 INFO | Undocumented commands: | |||
16:02:22 INFO | ====================== | |||
16:02:22 INFO | retval rv | |||
16:02:22 INFO | | |||
list | |||
16:02:37 INFO | (Pdb) 46 super(self.__class__, self).run_once() | |||
16:02:37 INFO | 47 | |||
16:02:37 INFO | 48 import pdb | |||
16:02:37 INFO | 49 pdb.set_trace() | |||
16:02:37 INFO | 50 # add header | |||
16:02:37 INFO | 51 -> self.log('%s\n%s\n%s' % ('='*40, nvr, '='*40)) | |||
16:02:37 INFO | 52 | |||
16:02:37 INFO | 53 # download packages | |||
16:02:37 INFO | 54 pkgs = self.koji.get_nvr_rpms(nvr, self.tmpdir, debuginfo=False, | |||
16:02:37 INFO | 55 src=True) | |||
16:02:37 INFO | 56 # run rpmlint | |||
</pre> | |||
For a 10-minute introduction how to use Pdb read [http://pythonconquerstheuniverse.wordpress.com/category/python-debugger/ Debugging in Python]. | |||
== Providing documentation == | |||
Every test should have at least basic documentation written in its {{filename|control}} file and in its test object. But if you intend to create a test for public consumption (not just for your own needs), you should provide proper and detailed documentation on these wiki pages. | |||
All AutoQA test documentation is in [[:Category:AutoQA tests]], and the page name should be ''AutoQA tests/<Test>'', where test name starts with uppercase letter. These pages will be linked from the log of every executed test. | |||
See the existing documentation for inspiration how to create your own one. | |||
== References == | == References == |
Latest revision as of 15:18, 14 March 2012
Introduction
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 control.template
, control.autoqa.template
and test_class.py.template
into your test directory. Rename them to control
, control.autoqa
and [testname].py
, respectively.
The control
file
The control file defines some metadata for this test and executes the test. Here's an example control file:
control file for conflicts test
DOC = """ This test runs potential_conflict from yum-utils to check for possible file / package conflicts. """ MAINTAINER = "Martin Krizek <mkrizek@redhat.com>" job.run_test('conflicts', **autoqa_args)
Required data
The following control file items are required for valid AutoQA tests:
- DOC: A verbose description of the test - its purpose, the logs and data it will generate, and so on.
- MAINTAINER: The contact person for this test. If it doesn't work or there are some problems, then we know who to contact.
Launching the test object
Most tests will have a line in the control file like this:
job.run_test('conflicts', **autoqa_args)
This will create a 'conflicts' test object (see below) and pass along all required variables.
autoqa_args
- A dictionary, containing all the event-specific variables (e.g. kojitag for post-koji-build event). Documentation on these is to be found in
events/[eventname]/README
files. 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.
The control.autoqa
file
The 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 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 event to the test object.
Here is example control.autoqa
file:
# 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 event; # please note that 'execute' defaults to 'False' and to have # the test scheduled, control.autoqa needs to complete with # 'execute' set to 'True' if event in ['post-koji-build']: execute = True
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.
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:
from autotest_lib.client.bin import utils from autoqa.test import AutoQATest from autoqa.decorators import ExceptionCatcher 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. When you override some of its methods (like setup()
, initialize()
or run_once()
) it is important to call the parent method first.
The most important attribute of this class is detail
(an instance of TestDetail
class) that is used for storing all test outcomes.
The most important methods include log()
that you are advised to use for logging test output and post_results()
that you can use for changing the way your test results are reported (if you're not satisfied with the default behavior).
Whenever your test crashes, the process_exception()
method will automatically catch the exception and log it (more on that in the next section).
ExceptionCatcher decorator
When an unintended exception is raised during test setup (setup()
), initialization (initialize()
) or execution (run_once()
) and ExceptionCatcher()
decorator is used for these methods (the default), it calls the process_exception()
method instead of simply crashing. In this way we are able to operate and submit results even of crashed tests.
When such event occurs, the test result is set to CRASHED, the exception traceback is added into the test output and the exception info is put into the test summary. Then the results are reported in a standard way (by creating log files and sending emails). Finally the original exception is re-raised.
If a different recovery procedure than process_exception()
is desired, you may define the method and provide the method name as an argument to the decorator. For example, see below:
def my_exception_handler(self, exc = None): '''do something different''' @ExceptionCatcher('self.my_exception_handler') def run_once(self, **kwargs): ...
You are advised to call the original process_exception()
method inside your custom handler, if applicable.
Test stages
setup()
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:
@ExceptionCatcher() def setup(self): retval = utils.system('yum -y install httpd') assert retval == 0 if utils.system('service httpd status') != 0: utils.system('service httpd start')
initialize()
This does any pre-test initialization that needs to happen. AutoQA tests typically uses this method to initialize various structures, set self.detail.id
and similar attributes. This is an optional method.
All basic initialization is done in the AutoQATest class, so check it out, before you re-define it.
run_once()
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, run the test binary and process the test result and output. For example, see below:
@ExceptionCatcher() def run_once(self, baseurl, parents, name, **kwargs): super(self.__class__, self).run_once() cmd = './potential_conflict.py --tempcache --newest ' \ '--repofrompath=target,%s --repoid=target' % baseurl out = utils.system_output(cmd, retain_output=True) self.log(out, printout=False)
This above example will run the command potential_conflict.py
and save its output. It will raise CmdError
if the command ends with non-zero exit code.
If you need to receive just the exit code of the command, use utils.system()
method instead.
Additionally, if you need both the exit code and command output, use the built-in utils.run()
method:
cmd_result = utils.run(cmd, ignore_status=True, stdout_tee=utils.TEE_TO_LOGS, stderr_tee=utils.TEE_TO_LOGS) output = cmd_result.stdout retval = cmd_result.exit_status
Useful test object attributes
AutoQATest
instances have the following attributes available[1]:
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>
Test Results
The AutoQATest
class provides a detail
attribute to be used for storing test results. This is an instance of TestDetail
class and serves as a container for everything related to the test outcome.
ID
Every test run should contain a string identification of the test in self.detail.id
. This doesn't have to be unique, but it should be descriptive enough for the log reader to quickly understand what has been tested. For RPM-based tests this will be probably a build NVR. For Bodhi update-based tests this will be probably a Bodhi update title. For yum repository-based tests this will be a repository name or address. And so on.
Usually the ID is set in initialize()
method (ASAP) because it is not changed throughout the test:
@ExceptionCatcher() def initialize(self, config, nvr, **kwargs): super(self.__class__, self).initialize(config) self.detail.id = nvr
Architecture
If your test is not an architecture-independent test (aka noarch test, the default), you must set the architecture of tested items in self.detail.arch
. That is usually also done in initialize()
method.
Overall Result
The overall test result is stored in self.detail.result
. You should set it in run_once()
according to the result of your test. You can choose from these values:
PASSED
- the test has passed, there is no problem with itINFO
- the test has passed, but there is some important information that a relevant person would very probably like to reviewFAILED
- the test has failed, requirements are not metNEEDS_INSPECTION
(default)- the test has failed, but a relevant person is needed to inspect it and possibly may waive the errorsABORTED
- some third party error has occurred (networking error, external script used for testing has crashed, etc) and the test could not complete because of that. Re-running this test with same input arguments could solve this problem.CRASHED
- the test has crashed because of a programming error somewhere in our code (test script or autoqa code). Close inspection is necessary to be able to solve this issue.
If no value is set in self.detail.result
, a value of NEEDS_INSPECTION
is used.
If an exception occurs, and is caught by the ExceptionCatcher
decorator (i.e. you don't catch it yourself), self.detail.result
is set to CRASHED
.
Using ABORTED result properly
If you want to end your test with ABORTED
result, simple set self.detail.result
and then re-raise the original exception. self.detail.summary
will be filled-in automatically (extracted from the exception message), if empty.
try: //download from Koji except IOError, e: //or some other error self.detail.result = 'ABORTED' raise
If you don't have any exception to re-raise but still want to end the test, again set self.detail.result
, but this time be sure to also provide an explanation in self.detail.summary
and then end the test by raising autotest_lib.client.common_lib.error.TestFail
. Alternatively you can provide the error explanation as an argument to the TestFail
class instead of filling in self.detail.summary
.
from autotest_lib.client.common_lib import error foo = //do some stuff if foo == None: self.detail.result = 'ABORTED' raise error.TestFail('No result returned from service bar')
Summary
The self.detail.summary
should contain a few words summarizing the test output. It is then used in the log overview and in the email subject. E.g. for conflicts test it can be "69 packages with file conflicts". Or for rpmlint test it can be "3 errors, 5 warnings". Don't repeat test name, test result or test ID in here.
Output
Log any test output you want to save (to be emailed and stored in a log file on the server) by using self.log()
method. Usually this is used for saving important information throughout the test. For rpmlint test this may include information which RPM packages will be downloaded and tested, and then the very output of the rpmlint command.
self.log('Build to be tested: %s' % nvr) cmd = '...' output = utils.system_output(cmd, retain_output=True) self.log(output, printout=False) ... self.log('Found %d errors in the command output' % errors, stderr=True)
The output is stored in self.detail.output
variable. You can modify it if needed (for example filter out some lines you don't want to see in the log), but you're highly discouraged from adding new content to that variable directly (use log()
method instead).
Highlights
If you want to emphasize a certain line or set of lines in your output, you can do it by highlighting them. That enables the reader to easily spot warnings and errors amongst hundreds of lines of output. It is usually done by:
self.log('RPM checksum invalid', highlight=True)
You can also provide a descriptive comment to the highlighted lines:
self.log('= Problems overview =\n %s' % problems, highlight='This test will not pass until all of these problems are solved.')
If you need to highlight a line that has been already logged (e.g. part of the command output), you can directly assign to self.detail.highlights
variable (it is a list of tuples (line, comment)
).
Additional log fields
You can provide some additional log fields to be displayed in your log. Explore self.detail.log
variable (instance of PrettyLog
class). Especially these attributes:
summary_detail
- allows you to provide additional detail for your summary sectionkojitag
/bodhi_title
/bodhi_id
- allows you to provide more information about which Kojitag/Bodhi update this test is related tocustom_fields
- allows you to specify any custom field for the log overview section
Extra Data
Further test-level info can be returned by using test.write_test_keyval(dict)
. The following example demonstrates extracting and saving the kernel version used when running a test:
extrainfo = dict() for line in self.results.stdout: if line.startswith("kernel version "): extrainfo['kernelver'] = line.split()[3] ... self.write_test_keyval(extrainfo)
In addition to test-level key/value pairs, per-iteration key/value information (e.g. performance metrics) can be recorded:
self.write_attr_keyval(attr_dict)
- Store test attributes (string data). Test attributes are limited to 100 characters. [2]self.write_perf_keyval(perf_dict)
- Store test performance metrics (numerical data). Performance values must be floating-point numbers.self.write_iteration_keyval(attr_dict, perf_dict)
- Storing both, attributes and performance data
Log files and scratch data
For any test execution several logs are created. The default log is <test_id>.html
and it is being linked and emailed to any configured recipients. It is designated for the large audience.
There is also an full.log
. It contains everything that has been logged throughout the test execution (the default log may have some lines filtered out, but they should be always present in this log).
The most detailed log is debug log placed at debug/client.DEBUG
at root test results directory. Into that file autotest automatically logs everything printed on the screen and the full output of any commands you run.
If you want to store a custom file (like your own log), just save it to self.resultsdir
directory. All those files will be saved at the end of the test.
If you need to store some scratch data that should be discarded on test finish, use self.tmpdir
directory for that.
Posting feedback into Bodhi
After the result of a test is known, it can be sent into Bodhi. You need to manually call post_results()
method at the end of our test and provide a bodhi
parameter.
# Report test result to Bodhi # 'name' variable contains Bodhi update title relevant for this test self.post_results(bodhi = {'title': name})
ResultsDB
Results are also automagically stored into the ResultsDB FIXME: add URL of resultsdb frontend. The only stuff, you need to take care of are some 'identification' data. For example, when your test deals with packages/builds, you want to store envr
, maybe kojitag
or another usefull information.
To store this information, add appropriate key-value pairs to the self.detail.keyvals
dictionary.
# taken from rpmguard self.detail.keyvals = {'kojitag': kojitag, 'envr': nvr}
Even though the key-value pairs are entirely up to your decision, please make sure, that you store envr(s) of the tested packages/builds/whatever-has-envr under the 'envr' key.
Also, you can store multiple values under the same key, when the value is list of strings:
self.detail.keyvals = {'envr': ['foo', 'bar', 'foobar']}
Tests with multiple results per testrun
Some tests produce more results in one testrun (e.g. Depcheck). If you want to store them separately in ResultsDB, make sure to set the self.is_multiresult
attribute to True.
Then you can create multiple TestDetail instances (e.g. one for each tested package/update/whatever), fill them out (don't forget the test_detail.keyvals), and post them using self.post_results()
method.
... all_test_details = [] for build in all_builds_to_test: td = TestDetail(self, id = build['nvr'], arch = arch) all_test_details.append(td) ... td.result = "PASSED" td.keyvals = {'envr': build['nvr'], ...} ... for td in all_test_details: self.post_results(td) ... self.test_detail.keyvals = {'envr': [build['nvr'] for build in all_builds_to_test]} ...
This will create multiple 'Testrun' records in the ResultsDB, one for each TestDetail created & reported. And one 'Job' record, which encapsulates all the 'Testruns'.
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 event, your test is supposed to run under. Let's assume, that it is the post-koji-build
.
/usr/share/autoqa/post-koji-build/watch-koji-builds.py --dry-run
This command will show you current koji builds e.g.
No previous run - checking builds in the past 3 hours autoqa post-koji-build --kojitag dist-f12-updates-candidate --arch x86_64 --arch i686 espeak-1.42.04-1.fc12 autoqa post-koji-build --kojitag dist-f11-updates-candidate --arch x86_64 kdemultimedia-4.3.4-1.fc11 autoqa post-koji-build --kojitag dist-f11-updates-candidate --arch x86_64 kdeplasma-addons-4.3.4-1.fc11 autoqa post-koji-build --kojitag dist-f12-updates-candidate --arch x86_64 --arch i686 cryptopp-5.6.1-0.1.svn479.fc12 autoqa post-koji-build --kojitag dist-f12-updates-candidate --arch x86_64 drupal-6.15-1.fc12 autoqa post-koji-build --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 --kojitag dist-f12-updates-candidate --arch x86_64 --arch i686 espeak-1.42.04-1.fc12 --test rpmlint --local
Debugging problems
If your test behaves incorrectly in certain cases, you can use python debugger even when it is run through AutoQA/Autotest framework. Add import pdb; pdb.set_trace()
line where you want to stop the program and begin debugging:
@ExceptionCatcher() def run_once(self, **kwargs): super(self.__class__, self).run_once() do_some_stuff() import pdb pdb.set_trace() do_some_other_stuff()
Then run your test with --local
option. You will be given a Pdb shell on the chosen line:
16:02:08 INFO | > /usr/share/autotest/client/site_tests/rpmlint/rpmlint.py(51)run_once() 16:02:08 INFO | -> self.log('%s\n%s\n%s' % ('='*40, nvr, '='*40)) help 16:02:22 INFO | (Pdb) 16:02:22 INFO | Documented commands (type help <topic>): 16:02:22 INFO | ======================================== 16:02:22 INFO | EOF bt cont enable jump pp run unt 16:02:22 INFO | a c continue exit l q s until 16:02:22 INFO | alias cl d h list quit step up 16:02:22 INFO | args clear debug help n r tbreak w 16:02:22 INFO | b commands disable ignore next restart u whatis 16:02:22 INFO | break condition down j p return unalias where 16:02:22 INFO | 16:02:22 INFO | Miscellaneous help topics: 16:02:22 INFO | ========================== 16:02:22 INFO | exec pdb 16:02:22 INFO | 16:02:22 INFO | Undocumented commands: 16:02:22 INFO | ====================== 16:02:22 INFO | retval rv 16:02:22 INFO | list 16:02:37 INFO | (Pdb) 46 super(self.__class__, self).run_once() 16:02:37 INFO | 47 16:02:37 INFO | 48 import pdb 16:02:37 INFO | 49 pdb.set_trace() 16:02:37 INFO | 50 # add header 16:02:37 INFO | 51 -> self.log('%s\n%s\n%s' % ('='*40, nvr, '='*40)) 16:02:37 INFO | 52 16:02:37 INFO | 53 # download packages 16:02:37 INFO | 54 pkgs = self.koji.get_nvr_rpms(nvr, self.tmpdir, debuginfo=False, 16:02:37 INFO | 55 src=True) 16:02:37 INFO | 56 # run rpmlint
For a 10-minute introduction how to use Pdb read Debugging in Python.
Providing documentation
Every test should have at least basic documentation written in its control
file and in its test object. But if you intend to create a test for public consumption (not just for your own needs), you should provide proper and detailed documentation on these wiki pages.
All AutoQA test documentation is in Category:AutoQA tests, and the page name should be AutoQA tests/<Test>, where test name starts with uppercase letter. These pages will be linked from the log of every executed test.
See the existing documentation for inspiration how to create your own one.