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dad0a28b5e
Some devices print non standard characters to logcat. If an error occurs when parsing the output, replace the offending character instead of raising an error.
70 lines
2.9 KiB
Python
Executable File
70 lines
2.9 KiB
Python
Executable File
# Copyright 2014-2018 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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import re
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from wa import ApkUiautoWorkload
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from wa.framework.exception import WorkloadError
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class Aitutu(ApkUiautoWorkload):
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name = 'aitutu'
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package_names = ['com.antutu.aibenchmark']
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regex_matches = [re.compile(r'Overall Score ([\d.]+)'),
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re.compile(r'Image Total Score ([\d.]+) ([\w]+) ([\w]+)'),
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re.compile(r'Image Speed Score ([\d.]+) ([\w]+) ([\w]+)'),
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re.compile(r'Image Accuracy Score ([\d.]+) ([\w]+) ([\w]+)'),
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re.compile(r'Object Total Score ([\d.]+) ([\w]+) ([\w]+)'),
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re.compile(r'Object Speed Score ([\d.]+) ([\w]+) ([\w]+)'),
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re.compile(r'Object Accuracy Score ([\d.]+) ([\w]+) ([\w]+)')]
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description = '''
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Executes Aitutu Image Speed/Accuracy and Object Speed/Accuracy tests
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The Aitutu workflow carries out the following tasks.
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1. Open Aitutu application
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2. Download the resources for the test
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3. Execute the tests
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Known working APK version: 1.0.3
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'''
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requires_network = True
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def __init__(self, target, **kwargs):
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super(Aitutu, self).__init__(target, **kwargs)
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self.gui.timeout = 1200000
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def update_output(self, context):
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super(Aitutu, self).update_output(context)
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expected_results = len(self.regex_matches)
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logcat_file = context.get_artifact_path('logcat')
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with open(logcat_file, errors='replace') as fh:
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for line in fh:
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for regex in self.regex_matches:
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match = regex.search(line)
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if match:
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classifiers = {}
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result = match.group(1)
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if (len(match.groups())) > 1:
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entry = regex.pattern.rsplit(None, 3)[0]
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classifiers = {'model': match.group(3)}
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else:
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entry = regex.pattern.rsplit(None, 1)[0]
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context.add_metric(entry, result, '', lower_is_better=False, classifiers=classifiers)
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expected_results -= 1
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if expected_results > 0:
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msg = "The Aitutu workload has failed. Expected {} scores, Detected {} scores."
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raise WorkloadError(msg.format(len(self.regex_matches), expected_results))
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