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#!/usr/bin/env python2.7
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#
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# Convert google-benchmark json output to something that can be uploaded to
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# BigQuery
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#
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#
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# Copyright 2017 gRPC authors.
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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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import sys
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import json
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import csv
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import bm_json
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columns = [
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('jenkins_build', 'integer'),
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('jenkins_job', 'string'),
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('date', 'timestamp'),
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('cpu_scaling_enabled', 'boolean'),
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('num_cpus', 'integer'),
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('mhz_per_cpu', 'integer'),
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('library_build_type', 'string'),
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('name', 'string'),
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('fixture', 'string'),
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('client_mutator', 'string'),
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('server_mutator', 'string'),
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('request_size', 'integer'),
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('response_size', 'integer'),
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('request_count', 'integer'),
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('iterations', 'integer'),
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('time_unit', 'string'),
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('real_time', 'integer'),
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('cpu_time', 'integer'),
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('bytes_per_second', 'float'),
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('allocs_per_iteration', 'float'),
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('locks_per_iteration', 'float'),
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('writes_per_iteration', 'float'),
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('bandwidth_kilobits', 'integer'),
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('cli_transport_stalls_per_iteration', 'float'),
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('cli_stream_stalls_per_iteration', 'float'),
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('svr_transport_stalls_per_iteration', 'float'),
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('svr_stream_stalls_per_iteration', 'float'),
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('atm_cas_per_iteration', 'float'),
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('atm_add_per_iteration', 'float'),
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('end_of_stream', 'boolean'),
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('header_bytes_per_iteration', 'float'),
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('framing_bytes_per_iteration', 'float'),
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('nows_per_iteration', 'float'),
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]
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SANITIZE = {
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'integer': int,
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'float': float,
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'boolean': bool,
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'string': str,
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'timestamp': str,
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}
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if sys.argv[1] == '--schema':
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print ',\n'.join('%s:%s' % (k, t.upper()) for k, t in columns)
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sys.exit(0)
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with open(sys.argv[1]) as f:
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js = json.loads(f.read())
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if len(sys.argv) > 2:
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with open(sys.argv[2]) as f:
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js2 = json.loads(f.read())
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else:
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js2 = None
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writer = csv.DictWriter(sys.stdout, [c for c,t in columns])
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for row in bm_json.expand_json(js, js2):
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sane_row = {}
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for name, sql_type in columns:
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if name in row:
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if row[name] == '': continue
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sane_row[name] = SANITIZE[sql_type](row[name])
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writer.writerow(sane_row)
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