#!/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 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 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 filtered_test_name, FIRST(timestamp), FIRST(build_url), FROM ( SELECT REGEXP_REPLACE(test_name, r'/\d+', '') AS filtered_test_name, result, build_url, 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.*')) GROUP BY filtered_test_name, timestamp, build_url HAVING SUM(result != 'PASSED' AND result != 'SKIPPED') > 0 ORDER BY timestamp ASC """.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) testname_to_ts_url_pair = {row['f'][0]['v']: (row['f'][1]['v'], row['f'][2]['v']) for row in page['rows']} return testname_to_ts_url_pair def get_new_flakes(): last_week_sans_yesterday = get_flaky_tests(-7, -1) last_24 = get_flaky_tests(-1, +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(): import datetime new_flakes = get_new_flakes() if new_flakes: print("Found {} new flakes:".format(len(new_flakes))) for k, v in new_flakes.items(): ts = int(float(v[0])) url = v[1] human_ts = datetime.datetime.utcfromtimestamp(ts).strftime('%Y-%m-%d %H:%M:%S UTC') print("Test: {}, Timestamp: {}, URL: {}\n".format(k, human_ts, url)) if __name__ == '__main__': main()