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#!/usr/bin/env python
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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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"""Helper to upload Jenkins test results to BQ"""
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from __future__ import print_function
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import os
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import six
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import sys
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import time
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import uuid
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gcp_utils_dir = os.path.abspath(
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os.path.join(os.path.dirname(__file__), '../../gcp/utils'))
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sys.path.append(gcp_utils_dir)
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import big_query_utils
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_DATASET_ID = 'jenkins_test_results'
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_DESCRIPTION = 'Test results from master job run on Jenkins'
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# 90 days in milliseconds
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_EXPIRATION_MS = 90 * 24 * 60 * 60 * 1000
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_PARTITION_TYPE = 'DAY'
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_PROJECT_ID = 'grpc-testing'
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_RESULTS_SCHEMA = [
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('job_name', 'STRING', 'Name of Jenkins job'),
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('build_id', 'INTEGER', 'Build ID of Jenkins job'),
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('build_url', 'STRING', 'URL of Jenkins job'),
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('test_name', 'STRING', 'Individual test name'),
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('language', 'STRING', 'Language of test'),
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('platform', 'STRING', 'Platform used for test'),
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('config', 'STRING', 'Config used for test'),
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('compiler', 'STRING', 'Compiler used for test'),
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('iomgr_platform', 'STRING', 'Iomgr used for test'),
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('result', 'STRING', 'Test result: PASSED, TIMEOUT, FAILED, or SKIPPED'),
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('timestamp', 'TIMESTAMP', 'Timestamp of test run'),
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('elapsed_time', 'FLOAT', 'How long test took to run'),
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('cpu_estimated', 'FLOAT', 'Estimated CPU usage of test'),
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('cpu_measured', 'FLOAT', 'Actual CPU usage of test'),
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('return_code', 'INTEGER', 'Exit code of test'),
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]
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_INTEROP_RESULTS_SCHEMA = [
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('job_name', 'STRING', 'Name of Jenkins/Kokoro job'),
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('build_id', 'INTEGER', 'Build ID of Jenkins/Kokoro job'),
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('build_url', 'STRING', 'URL of Jenkins/Kokoro job'),
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('test_name', 'STRING',
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'Unique test name combining client, server, and test_name'),
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('suite', 'STRING',
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'Test suite: cloud_to_cloud, cloud_to_prod, or cloud_to_prod_auth'),
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('client', 'STRING', 'Client language'),
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('server', 'STRING', 'Server host name'),
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('test_case', 'STRING', 'Name of test case'),
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('result', 'STRING', 'Test result: PASSED, TIMEOUT, FAILED, or SKIPPED'),
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('timestamp', 'TIMESTAMP', 'Timestamp of test run'),
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('elapsed_time', 'FLOAT', 'How long test took to run'),
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]
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def _get_build_metadata(test_results):
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"""Add Kokoro build metadata to test_results based on environment
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variables set by Kokoro.
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"""
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build_id = os.getenv('KOKORO_BUILD_NUMBER')
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build_url = 'https://source.cloud.google.com/results/invocations/%s' % os.getenv(
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'KOKORO_BUILD_ID')
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job_name = os.getenv('KOKORO_JOB_NAME')
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if build_id:
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test_results['build_id'] = build_id
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if build_url:
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test_results['build_url'] = build_url
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if job_name:
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test_results['job_name'] = job_name
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def _insert_rows_with_retries(bq, bq_table, bq_rows):
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"""Insert rows to bq table. Retry on error."""
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# BigQuery sometimes fails with large uploads, so batch 1,000 rows at a time.
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for i in range((len(bq_rows) / 1000) + 1):
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max_retries = 3
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for attempt in range(max_retries):
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if big_query_utils.insert_rows(bq, _PROJECT_ID, _DATASET_ID,
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bq_table,
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bq_rows[i * 1000:(i + 1) * 1000]):
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break
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else:
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if attempt < max_retries - 1:
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print('Error uploading result to bigquery, will retry.')
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else:
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print(
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'Error uploading result to bigquery, all attempts failed.'
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)
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sys.exit(1)
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def upload_results_to_bq(resultset, bq_table, args, platform):
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"""Upload test results to a BQ table.
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Args:
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resultset: dictionary generated by jobset.run
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bq_table: string name of table to create/upload results to in BQ
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args: args in run_tests.py, generated by argparse
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platform: string name of platform tests were run on
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"""
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bq = big_query_utils.create_big_query()
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big_query_utils.create_partitioned_table(
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bq,
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_PROJECT_ID,
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_DATASET_ID,
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bq_table,
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_RESULTS_SCHEMA,
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_DESCRIPTION,
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partition_type=_PARTITION_TYPE,
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expiration_ms=_EXPIRATION_MS)
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bq_rows = []
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for shortname, results in six.iteritems(resultset):
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for result in results:
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test_results = {}
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_get_build_metadata(test_results)
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test_results['compiler'] = args.compiler
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test_results['config'] = args.config
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test_results['cpu_estimated'] = result.cpu_estimated
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test_results['cpu_measured'] = result.cpu_measured
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test_results['elapsed_time'] = '%.2f' % result.elapsed_time
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test_results['iomgr_platform'] = args.iomgr_platform
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# args.language is a list, but will always have one element in the contexts
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# this function is used.
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test_results['language'] = args.language[0]
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test_results['platform'] = platform
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test_results['result'] = result.state
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test_results['return_code'] = result.returncode
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test_results['test_name'] = shortname
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test_results['timestamp'] = time.strftime('%Y-%m-%d %H:%M:%S')
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row = big_query_utils.make_row(str(uuid.uuid4()), test_results)
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bq_rows.append(row)
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_insert_rows_with_retries(bq, bq_table, bq_rows)
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def upload_interop_results_to_bq(resultset, bq_table, args):
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"""Upload interop test results to a BQ table.
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Args:
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resultset: dictionary generated by jobset.run
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bq_table: string name of table to create/upload results to in BQ
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args: args in run_interop_tests.py, generated by argparse
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"""
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bq = big_query_utils.create_big_query()
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big_query_utils.create_partitioned_table(
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bq,
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_PROJECT_ID,
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_DATASET_ID,
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bq_table,
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_INTEROP_RESULTS_SCHEMA,
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_DESCRIPTION,
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partition_type=_PARTITION_TYPE,
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expiration_ms=_EXPIRATION_MS)
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bq_rows = []
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for shortname, results in six.iteritems(resultset):
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for result in results:
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test_results = {}
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_get_build_metadata(test_results)
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test_results['elapsed_time'] = '%.2f' % result.elapsed_time
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test_results['result'] = result.state
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test_results['test_name'] = shortname
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test_results['suite'] = shortname.split(':')[0]
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test_results['client'] = shortname.split(':')[1]
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test_results['server'] = shortname.split(':')[2]
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test_results['test_case'] = shortname.split(':')[3]
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test_results['timestamp'] = time.strftime('%Y-%m-%d %H:%M:%S')
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row = big_query_utils.make_row(str(uuid.uuid4()), test_results)
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bq_rows.append(row)
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_insert_rows_with_retries(bq, bq_table, bq_rows)
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