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#!/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()
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