#!/usr/bin/env python # Copyright 2015 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. """Detect new flakes introduced in the last 24h hours with respect to the previous six days""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import datetime import os import sys import logging logging.basicConfig(format='%(asctime)s %(message)s') 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 def print_table(table): kokoro_base_url = 'https://kokoro.corp.google.com/job/' for k, v in table.items(): job_name = v[0] build_id = v[1] ts = int(float(v[2])) # TODO(dgq): timezone handling is wrong. We need to determine the timezone # of the computer running this script. human_ts = datetime.datetime.utcfromtimestamp(ts).strftime('%Y-%m-%d %H:%M:%S PDT') job_path = '{}/{}'.format('/job/'.join(job_name.split('/')), build_id) full_kokoro_url = kokoro_base_url + job_path print("Test: {}, Timestamp: {}, url: {}\n".format(k, human_ts, full_kokoro_url)) def get_flaky_tests(days_lower_bound, days_upper_bound, limit=None): """ period is one of "WEEK", "DAY", etc. (see https://cloud.google.com/bigquery/docs/reference/standard-sql/functions-and-operators#date_add). """ bq = big_query_utils.create_big_query() query = """ SELECT REGEXP_REPLACE(test_name, r'/\d+', '') AS filtered_test_name, job_name, build_id, timestamp FROM [grpc-testing:jenkins_test_results.aggregate_results] WHERE timestamp > DATE_ADD(CURRENT_DATE(), {days_lower_bound}, "DAY") AND timestamp <= DATE_ADD(CURRENT_DATE(), {days_upper_bound}, "DAY") AND NOT REGEXP_MATCH(job_name, '.*portability.*') AND result != 'PASSED' AND result != 'SKIPPED' ORDER BY timestamp desc """.format(days_lower_bound=days_lower_bound, days_upper_bound=days_upper_bound) if limit: query += '\n LIMIT {}'.format(limit) query_job = big_query_utils.sync_query_job(bq, 'grpc-testing', query) page = bq.jobs().getQueryResults( pageToken=None, **query_job['jobReference']).execute(num_retries=3) rows = page.get('rows') if rows: return {row['f'][0]['v']: (row['f'][1]['v'], row['f'][2]['v'], row['f'][3]['v']) for row in rows} else: return {} def get_new_flakes(): last_week_sans_yesterday = get_flaky_tests(-14, -1) last_24 = get_flaky_tests(0, +1) last_week_sans_yesterday_names = set(last_week_sans_yesterday.keys()) last_24_names = set(last_24.keys()) logging.debug('|last_week_sans_yesterday| =', len(last_week_sans_yesterday_names)) logging.debug('|last_24_names| =', len(last_24_names)) new_flakes = last_24_names - last_week_sans_yesterday_names logging.debug('|new_flakes| = ', len(new_flakes)) return {k: last_24[k] for k in new_flakes} def main(): new_flakes = get_new_flakes() if new_flakes: print("Found {} new flakes:".format(len(new_flakes))) print_table(new_flakes) else: print("No new flakes found!") if __name__ == '__main__': main()