mirror of
https://github.com/ARM-software/workload-automation.git
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72 lines
2.6 KiB
Python
72 lines
2.6 KiB
Python
# Copyright 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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from wa import OutputProcessor
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from wa.utils.android import LogcatParser
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class UxperfProcessor(OutputProcessor):
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name = 'uxperf'
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description = '''
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Parse logcat for UX_PERF markers to produce performance metrics for
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workload actions using specified instrumentation.
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An action represents a series of UI interactions to capture.
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NOTE: The UX_PERF markers are turned off by default and must be enabled in
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a agenda file by setting ``markers_enabled`` for the workload to ``True``.
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'''
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# pylint: disable=too-many-locals,unused-argument
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def process_job_output(self, output, target_info, job_output):
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logcat = output.get_artifact('logcat')
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if not logcat:
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return
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parser = LogcatParser()
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start_times = {}
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filepath = output.get_path(logcat.path)
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for entry in parser.parse(filepath):
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if not entry.tag == 'UX_PERF':
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continue
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parts = entry.message.split()
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if len(parts) != 3:
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message = 'Unexpected UX_PERF message @ {}: {}'
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self.logger.warning(message.format(entry.timestamp, entry.message))
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continue
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action, state, when = parts
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when = int(when)
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if state == 'start':
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if action in start_times:
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self.logger.warning('start before end @ {}'.format(entry.timestamp))
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start_times[action] = when
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elif state == 'end':
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start_time = start_times.pop(action, None)
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if start_time is None:
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self.logger.warning('end without start @ {}'.format(entry.timestamp))
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continue
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duration = (when - start_time) / 1000
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metric_name = '{}_duration'.format(action)
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output.add_metric(metric_name, duration, 'microseconds',
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lower_is_better=True)
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else:
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self.logger.warning('Unexpected state "{}" @ {}'.format(state, entry.timestamp))
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