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https://github.com/ARM-software/workload-automation.git
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13df3cff90
Check that dependent files for the workload are present in the dependencies folder before starting the workload. Move cleanup of dependent files to finalize method.
136 lines
5.9 KiB
Python
Executable File
136 lines
5.9 KiB
Python
Executable File
# Copyright 2014-2016 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 os
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import logging
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import re
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import time
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from wlauto import AndroidUiAutoBenchmark, Parameter
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from wlauto.exceptions import DeviceError
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from wlauto.exceptions import NotFoundError
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__version__ = '0.1.0'
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class Reader(AndroidUiAutoBenchmark):
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activity = 'com.adobe.reader.AdobeReader'
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name = 'reader'
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package = 'com.adobe.reader'
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view = [package+'/com.adobe.reader.help.AROnboardingHelpActivity',
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package+'/com.adobe.reader.viewer.ARSplitPaneActivity',
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package+'/com.adobe.reader.viewer.ARViewerActivity']
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description = """
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The Adobe Reader workflow carries out the following typical productivity tasks using
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Workload-Automation.
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Test description:
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1. Open the application and sign in to an Adobe Cloud account over wifi
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2. Select the local files browser list - a test measuring the time taken to navigate through the
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menus and for the list to be created.
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3. Search for a specific file from within the - a test measuring the entry of a search string
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and time taken to locate the document within the file list.
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4. Open the selected file - a test measuring the time taken to open the document and present
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within a new view.
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5. Gestures test - measurement of fps, jank and other frame statistics, via dumpsys, for swipe
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and pinch gestures.
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6. Search test - a test measuring the time taken to search a large 100+ page mixed content
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document for specific strings. Steps 2-4 are repeated to open the Cortex M4 manual.
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"""
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parameters = [
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Parameter('dumpsys_enabled', kind=bool, default=True,
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description="""
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If ``True``, dumpsys captures will be carried out during the
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test run. The output is piped to log files which are then
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pulled from the phone.
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"""),
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Parameter('email', kind=str, default="email@gmail.com",
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description="""
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Email account used to register with Adobe online services.
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"""),
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Parameter('password', kind=str, default="password",
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description="""
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Password for Adobe online services.
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"""),
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]
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instrumentation_log = ''.join([name, '_instrumentation.log'])
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def validate(self):
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super(Reader, self).validate()
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self.output_file = os.path.join(self.device.working_directory, self.instrumentation_log)
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self.uiauto_params['package'] = self.package
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self.uiauto_params['output_dir'] = self.device.working_directory
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self.uiauto_params['output_file'] = self.output_file
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self.uiauto_params['email'] = self.email
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self.uiauto_params['password'] = self.password
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self.uiauto_params['dumpsys_enabled'] = self.dumpsys_enabled
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def initialize(self, context):
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super(Reader, self).initialize(context)
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if not self.device.is_wifi_connected():
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raise DeviceError('Wifi is not connected for device {}'.format(self.device.name))
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self.reader_local_dir = self.device.path.join(self.device.external_storage_directory,
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'Android/data/com.adobe.reader/files/')
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# Check for workload dependencies before proceeding
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pdf_files = [entry for entry in os.listdir(self.dependencies_directory) if entry.endswith(".pdf")]
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if not len(pdf_files):
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raise NotFoundError("Cannot find {} file(s) in {}".format('pdf', self.dependencies_directory))
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else:
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for entry in pdf_files:
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self.device.push_file(os.path.join(self.dependencies_directory, entry),
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os.path.join(self.reader_local_dir, entry),
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timeout=300)
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def update_result(self, context):
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super(Reader, self).update_result(context)
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self.device.pull_file(self.output_file, context.output_directory)
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result_file = os.path.join(context.output_directory, self.instrumentation_log)
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with open(result_file, 'r') as wfh:
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regex = re.compile(r'(?P<key>\w+)\s+(?P<value1>\d+)\s+(?P<value2>\d+)\s+(?P<value3>\d+)')
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for line in wfh:
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match = regex.search(line)
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if match:
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context.result.add_metric((match.group('key') + "_start"),
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match.group('value1'), units='ms')
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context.result.add_metric((match.group('key') + "_finish"),
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match.group('value2'), units='ms')
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context.result.add_metric((match.group('key') + "_duration"),
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match.group('value3'), units='ms')
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def teardown(self, context):
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super(Reader, self).teardown(context)
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for entry in self.device.listdir(self.device.working_directory):
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if entry.endswith(".log"):
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self.device.pull_file(os.path.join(self.device.working_directory, entry), context.output_directory)
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self.device.delete_file(os.path.join(self.device.working_directory, entry))
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def finalize(self, context):
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super(Reader, self).finalize(context)
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for entry in self.device.listdir(self.reader_local_dir):
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if entry.endswith(".pdf"):
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self.device.delete_file(os.path.join(self.reader_local_dir, entry))
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