grpc/tools/run_tests/performance/bq_upload_result.py

#!/usr/bin/env python2.7
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# Uploads performance benchmark result file to bigquery.

import argparse
import json
import os
import sys
import uuid


gcp_utils_dir = os.path.abspath(os.path.join(
    os.path.dirname(__file__), '../../gcp/utils'))
sys.path.append(gcp_utils_dir)
import big_query_utils


_PROJECT_ID='grpc-testing'


def _upload_scenario_result_to_bigquery(dataset_id, table_id, result_file):
  bq = big_query_utils.create_big_query()
  _create_results_table(bq, dataset_id, table_id)

  with open(result_file, 'r') as f:
    scenario_result = json.loads(f.read())

  if not _insert_result(bq, dataset_id, table_id, scenario_result):
    print 'Error uploading result to bigquery.'
    sys.exit(1)


def _insert_result(bq, dataset_id, table_id, scenario_result):
  _flatten_result_inplace(scenario_result)
  row = big_query_utils.make_row(str(uuid.uuid4()), scenario_result)
  return big_query_utils.insert_rows(bq,
                                     _PROJECT_ID,
                                     dataset_id,
                                     table_id,
                                     [row])


def _create_results_table(bq, dataset_id, table_id):
  with open(os.path.dirname(__file__) + '/scenario_result_schema.json', 'r') as f:
    table_schema = json.loads(f.read())
  desc = 'Results of performance benchmarks.'
  return big_query_utils.create_table2(bq, _PROJECT_ID, dataset_id,
                               table_id, table_schema, desc)


def _flatten_result_inplace(scenario_result):
  """Bigquery is not really great for handling deeply nested data
  and repeated fields. To maintain values of some fields while keeping
  the schema relatively simple, we artificially leave some of the fields
  as JSON strings.
  """
  scenario_result['scenario']['clientConfig'] = json.dumps(scenario_result['scenario']['clientConfig'])
  scenario_result['scenario']['serverConfig'] = json.dumps(scenario_result['scenario']['serverConfig'])
  scenario_result['latencies'] = json.dumps(scenario_result['latencies'])
  for stats in scenario_result['clientStats']:
    stats['latencies'] = json.dumps(stats['latencies'])
  scenario_result['serverCores'] = json.dumps(scenario_result['serverCores'])


argp = argparse.ArgumentParser(description='Upload result to big query.')
argp.add_argument('--bq_result_table', required=True, default=None, type=str,
                  help='Bigquery "dataset.table" to upload results to.')
argp.add_argument('--file_to_upload', default='scenario_result.json', type=str,
                  help='Report file to upload.')

args = argp.parse_args()

dataset_id, table_id = args.bq_result_table.split('.', 2)
_upload_scenario_result_to_bigquery(dataset_id, table_id, args.file_to_upload)
print 'Successfully uploaded %s to BigQuery.\n' % args.file_to_upload