mirror of
https://github.com/ARM-software/workload-automation.git
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9212b7f051
- Add JetNews workload description. - Fixup copyright years. - Adjust formatting. - Add constraints to the workload's parameters. - Fix comment typos. - Remove unused commented-out code from app/build.gradle.
104 lines
4.4 KiB
Python
Executable File
104 lines
4.4 KiB
Python
Executable File
# Copyright 2024 ARM Limited
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from wa import ApkUiautoWorkload, Parameter, TestPackageHandler
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from wa.utils.types import list_of_strs
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import re
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class Jetnews(ApkUiautoWorkload):
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name = 'jetnews'
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package_names = ['com.example.jetnews']
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description = '''
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This workload uses the JetNews sample app to run a set of UiAutomation
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tests, with the goal of gathering frame metrics and calculating jank
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frame percentages.
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It uses two APK's, the JetNews app itself (modified to contain more posts)
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and the UiAutomation tests that interact with the app.
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There are 3 available tests, two in portrait mode and 1 in landscape mode.
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'''
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_OUTPUT_SECTION_REGEX = re.compile(
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r'(\s*INSTRUMENTATION_STATUS: gfx-[\w-]+=[-+\d.]+\n)+'
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r'\s*INSTRUMENTATION_STATUS_CODE: (?P<code>[-+\d]+)\n?', re.M)
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_OUTPUT_GFXINFO_REGEX = re.compile(
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r'INSTRUMENTATION_STATUS: (?P<name>[\w-]+)=(?P<value>[-+\d.]+)')
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default_test_strings = [
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'PortraitVerticalTest',
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'PortraitHorizontalTest',
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'LandscapeVerticalTest',
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]
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parameters = [
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Parameter('tests', kind=list_of_strs,
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description="""
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List of tests to be executed. The available
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tests are PortraitVerticalTest, LandscapeVerticalTest and
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PortraitHorizontalTest. If none are specified, the default
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is to run all of them.
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""", default=default_test_strings,
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constraint=lambda x: all(v in ['PortraitVerticalTest', 'PortraitHorizontalTest', 'LandscapeVerticalTest'] for v in x)),
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Parameter('flingspeed', kind=int,
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description="""
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Default fling speed for the tests. The default is 5000 and
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the minimum value is 1000.
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""", default=5000, constraint=lambda x: x >= 1000),
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Parameter('repeat', kind=int,
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description="""
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The number of times the tests should be repeated. The default
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is 1.
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""", default=1, constraint=lambda x: x > 0)
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]
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def __init__(self, target, **kwargs):
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super(Jetnews, self).__init__(target, **kwargs)
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# This test uses the androidx library.
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self.gui.uiauto_runner = 'androidx.test.runner.AndroidJUnitRunner'
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# Class for the regular instrumented tests.
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self.gui.uiauto_class = 'UiAutomation'
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# Class containing the jank tests.
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self.gui.uiauto_jank_class = 'UiAutomationJankTests'
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# A list of all the individual jank tests contained in the jetnews
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# uiauto apk.
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self.gui.jank_stages = ['test1']
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self.gui.uiauto_params['tests'] = self.tests
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self.gui.uiauto_params['flingspeed'] = self.flingspeed
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self.gui.uiauto_params['repeat'] = self.repeat
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# Declared here so we can hold the test output for later processing.
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self.output = {}
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def run(self, context):
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# Run the jank tests and capture the output so we can parse it
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# into the output result file.
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self.output['test1'] = self.gui._execute('test1', self.gui.timeout)
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def update_output(self, context):
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super(Jetnews, self).update_output(context)
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# Parse the test result and filter out the results so we can output
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# a meaningful result file.
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for test, test_output in self.output.items():
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for section in self._OUTPUT_SECTION_REGEX.finditer(test_output):
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if int(section.group('code')) != -1:
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msg = 'Run failed (INSTRUMENTATION_STATUS_CODE: {}). See log.'
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raise RuntimeError(msg.format(section.group('code')))
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for metric in self._OUTPUT_GFXINFO_REGEX.finditer(section.group()):
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context.add_metric(metric.group('name'), metric.group('value'),
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classifiers={'test_name': test})
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