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#!/usr/bin/env python2.7
#
# Convert google-benchmark json output to something that can be uploaded to
# BigQuery
#
#
# Copyright 2017 gRPC authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import sys
import json
import csv
import bm_json
import json
import subprocess
columns = []
for row in json.loads(
subprocess.check_output(
['bq', '--format=json', 'show',
'microbenchmarks.microbenchmarks']))['schema']['fields']:
columns.append((row['name'], row['type'].lower()))
SANITIZE = {
'integer': int,
'float': float,
'boolean': bool,
'string': str,
'timestamp': str,
}
if sys.argv[1] == '--schema':
print ',\n'.join('%s:%s' % (k, t.upper()) for k, t in columns)
sys.exit(0)
with open(sys.argv[1]) as f:
js = json.loads(f.read())
if len(sys.argv) > 2:
with open(sys.argv[2]) as f:
js2 = json.loads(f.read())
else:
js2 = None
writer = csv.DictWriter(sys.stdout, [c for c, t in columns])
for row in bm_json.expand_json(js, js2):
sane_row = {}
for name, sql_type in columns:
if name in row:
if row[name] == '': continue
sane_row[name] = SANITIZE[sql_type](row[name])
writer.writerow(sane_row)
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