|
|
|
#!/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 and create issues for them"""
|
|
|
|
|
|
|
|
from __future__ import absolute_import
|
|
|
|
from __future__ import division
|
|
|
|
from __future__ import print_function
|
|
|
|
|
|
|
|
import datetime
|
|
|
|
import json
|
|
|
|
import logging
|
|
|
|
import os
|
|
|
|
import pprint
|
|
|
|
import sys
|
|
|
|
import urllib
|
|
|
|
import urllib2
|
|
|
|
from collections import namedtuple
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
GH_ISSUE_CREATION_URL = 'https://api.github.com/repos/grpc/grpc/issues'
|
|
|
|
GH_ISSUE_SEARCH_URL = 'https://api.github.com/search/issues'
|
|
|
|
KOKORO_BASE_URL = 'https://kokoro2.corp.google.com/job/'
|
|
|
|
|
|
|
|
|
|
|
|
def gh(url, data=None):
|
|
|
|
request = urllib2.Request(url, data=data)
|
|
|
|
assert TOKEN
|
|
|
|
request.add_header('Authorization', 'token {}'.format(TOKEN))
|
|
|
|
if data:
|
|
|
|
request.add_header('Content-type', 'application/json')
|
|
|
|
response = urllib2.urlopen(request)
|
|
|
|
if 200 <= response.getcode() < 300:
|
|
|
|
return json.loads(response.read())
|
|
|
|
else:
|
|
|
|
raise ValueError('Error ({}) accessing {}'.format(
|
|
|
|
response.getcode(), response.geturl()))
|
|
|
|
|
|
|
|
|
|
|
|
def search_gh_issues(search_term, status='open'):
|
|
|
|
params = ' '.join((search_term, 'is:issue', 'is:open', 'repo:grpc/grpc'))
|
|
|
|
qargs = urllib.urlencode({'q': params})
|
|
|
|
url = '?'.join((GH_ISSUE_SEARCH_URL, qargs))
|
|
|
|
response = gh(url)
|
|
|
|
return response
|
|
|
|
|
|
|
|
|
|
|
|
def create_gh_issue(title, body, labels, assignees=[]):
|
|
|
|
params = {'title': title, 'body': body, 'labels': labels}
|
|
|
|
if assignees:
|
|
|
|
params['assignees'] = assignees
|
|
|
|
data = json.dumps(params)
|
|
|
|
response = gh(GH_ISSUE_CREATION_URL, data)
|
|
|
|
issue_url = response['html_url']
|
|
|
|
print('Created issue {} for {}'.format(issue_url, title))
|
|
|
|
|
|
|
|
|
|
|
|
def build_kokoro_url(job_name, build_id):
|
|
|
|
job_path = '{}/{}'.format('/job/'.join(job_name.split('/')), build_id)
|
|
|
|
return KOKORO_BASE_URL + job_path
|
|
|
|
|
|
|
|
|
|
|
|
def create_issues(new_flakes, always_create):
|
|
|
|
for test_name, results_row in new_flakes.items():
|
|
|
|
poll_strategy, job_name, build_id, timestamp = results_row
|
|
|
|
# TODO(dgq): the Kokoro URL has a limited lifetime. The permanent and ideal
|
|
|
|
# URL would be the sponge one, but there's currently no easy way to retrieve
|
|
|
|
# it.
|
|
|
|
url = build_kokoro_url(job_name, build_id)
|
|
|
|
title = 'New Failure: ' + test_name
|
|
|
|
body = '- Test: {}\n- Poll Strategy: {}\n- URL: {}'.format(
|
|
|
|
test_name, poll_strategy, url)
|
|
|
|
labels = ['infra/New Failure']
|
|
|
|
if always_create:
|
|
|
|
proceed = True
|
|
|
|
else:
|
|
|
|
preexisting_issues = search_gh_issues(test_name)
|
|
|
|
if preexisting_issues['total_count'] > 0:
|
|
|
|
print('\nFound {} issues for "{}":'.format(
|
|
|
|
preexisting_issues['total_count'], test_name))
|
|
|
|
for issue in preexisting_issues['items']:
|
|
|
|
print('\t"{}" ; URL: {}'.format(issue['title'],
|
|
|
|
issue['html_url']))
|
|
|
|
else:
|
|
|
|
print(
|
|
|
|
'\nNo preexisting issues found for "{}"'.format(test_name))
|
|
|
|
proceed = raw_input(
|
|
|
|
'Create issue for:\nTitle: {}\nBody: {}\n[Y/n] '.format(
|
|
|
|
title, body)) in ('y', 'Y', '')
|
|
|
|
if proceed:
|
|
|
|
assignees_str = raw_input(
|
|
|
|
'Asignees? (comma-separated, leave blank for unassigned): ')
|
|
|
|
assignees = [
|
|
|
|
assignee.strip() for assignee in assignees_str.split(',')
|
|
|
|
]
|
|
|
|
create_gh_issue(title, body, labels, assignees)
|
|
|
|
|
|
|
|
|
|
|
|
def print_table(table, format):
|
|
|
|
first_time = True
|
|
|
|
for test_name, results_row in table.items():
|
|
|
|
poll_strategy, job_name, build_id, timestamp = results_row
|
|
|
|
full_kokoro_url = build_kokoro_url(job_name, build_id)
|
|
|
|
if format == 'human':
|
|
|
|
print("\t- Test: {}, Polling: {}, Timestamp: {}, url: {}".format(
|
|
|
|
test_name, poll_strategy, timestamp, full_kokoro_url))
|
|
|
|
else:
|
|
|
|
assert (format == 'csv')
|
|
|
|
if first_time:
|
|
|
|
print('test,timestamp,url')
|
|
|
|
first_time = False
|
|
|
|
print("{},{},{}".format(test_name, timestamp, full_kokoro_url))
|
|
|
|
|
|
|
|
|
|
|
|
Row = namedtuple('Row', ['poll_strategy', 'job_name', 'build_id', 'timestamp'])
|
|
|
|
|
|
|
|
|
|
|
|
def get_new_failures(dates):
|
|
|
|
bq = big_query_utils.create_big_query()
|
|
|
|
this_script_path = os.path.join(os.path.dirname(__file__))
|
|
|
|
sql_script = os.path.join(this_script_path, 'sql/new_failures_24h.sql')
|
|
|
|
with open(sql_script) as query_file:
|
|
|
|
query = query_file.read().format(
|
|
|
|
calibration_begin=dates['calibration']['begin'],
|
|
|
|
calibration_end=dates['calibration']['end'],
|
|
|
|
reporting_begin=dates['reporting']['begin'],
|
|
|
|
reporting_end=dates['reporting']['end'])
|
|
|
|
logging.debug("Query:\n%s", query)
|
|
|
|
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(poll_strategy=row['f'][1]['v'],
|
|
|
|
job_name=row['f'][2]['v'],
|
|
|
|
build_id=row['f'][3]['v'],
|
|
|
|
timestamp=row['f'][4]['v']) for row in rows
|
|
|
|
}
|
|
|
|
else:
|
|
|
|
return {}
|
|
|
|
|
|
|
|
|
|
|
|
def parse_isodate(date_str):
|
|
|
|
return datetime.datetime.strptime(date_str, "%Y-%m-%d").date()
|
|
|
|
|
|
|
|
|
|
|
|
def get_new_flakes(args):
|
|
|
|
"""The from_date_str argument marks the beginning of the "calibration", used
|
|
|
|
to establish the set of pre-existing flakes, which extends over
|
|
|
|
"calibration_days". After the calibration period, "reporting_days" is the
|
|
|
|
length of time during which new flakes will be reported.
|
|
|
|
|
|
|
|
from
|
|
|
|
date
|
|
|
|
|--------------------|---------------|
|
|
|
|
^____________________^_______________^
|
|
|
|
calibration reporting
|
|
|
|
days days
|
|
|
|
"""
|
|
|
|
dates = process_date_args(args)
|
|
|
|
new_failures = get_new_failures(dates)
|
|
|
|
logging.info('|new failures| = %d', len(new_failures))
|
|
|
|
return new_failures
|
|
|
|
|
|
|
|
|
|
|
|
def build_args_parser():
|
|
|
|
import argparse, datetime
|
|
|
|
parser = argparse.ArgumentParser()
|
|
|
|
today = datetime.date.today()
|
|
|
|
a_week_ago = today - datetime.timedelta(days=7)
|
|
|
|
parser.add_argument(
|
|
|
|
'--calibration_days',
|
|
|
|
type=int,
|
|
|
|
default=7,
|
|
|
|
help='How many days to consider for pre-existing flakes.')
|
|
|
|
parser.add_argument(
|
|
|
|
'--reporting_days',
|
|
|
|
type=int,
|
|
|
|
default=1,
|
|
|
|
help='How many days to consider for the detection of new flakes.')
|
|
|
|
parser.add_argument('--count_only',
|
|
|
|
dest='count_only',
|
|
|
|
action='store_true',
|
|
|
|
help='Display only number of new flakes.')
|
|
|
|
parser.set_defaults(count_only=False)
|
|
|
|
parser.add_argument('--create_issues',
|
|
|
|
dest='create_issues',
|
|
|
|
action='store_true',
|
|
|
|
help='Create issues for all new flakes.')
|
|
|
|
parser.set_defaults(create_issues=False)
|
|
|
|
parser.add_argument(
|
|
|
|
'--always_create_issues',
|
|
|
|
dest='always_create_issues',
|
|
|
|
action='store_true',
|
|
|
|
help='Always create issues for all new flakes. Otherwise,'
|
|
|
|
' interactively prompt for every issue.')
|
|
|
|
parser.set_defaults(always_create_issues=False)
|
|
|
|
parser.add_argument(
|
|
|
|
'--token',
|
|
|
|
type=str,
|
|
|
|
default='',
|
|
|
|
help='GitHub token to use its API with a higher rate limit')
|
|
|
|
parser.add_argument('--format',
|
|
|
|
type=str,
|
|
|
|
choices=['human', 'csv'],
|
|
|
|
default='human',
|
|
|
|
help='Output format: are you a human or a machine?')
|
|
|
|
parser.add_argument(
|
|
|
|
'--loglevel',
|
|
|
|
type=str,
|
|
|
|
choices=['INFO', 'DEBUG', 'WARNING', 'ERROR', 'CRITICAL'],
|
|
|
|
default='WARNING',
|
|
|
|
help='Logging level.')
|
|
|
|
return parser
|
|
|
|
|
|
|
|
|
|
|
|
def process_date_args(args):
|
|
|
|
calibration_begin = (datetime.date.today() -
|
|
|
|
datetime.timedelta(days=args.calibration_days) -
|
|
|
|
datetime.timedelta(days=args.reporting_days))
|
|
|
|
calibration_end = calibration_begin + datetime.timedelta(
|
|
|
|
days=args.calibration_days)
|
|
|
|
reporting_begin = calibration_end
|
|
|
|
reporting_end = reporting_begin + datetime.timedelta(
|
|
|
|
days=args.reporting_days)
|
|
|
|
return {
|
|
|
|
'calibration': {
|
|
|
|
'begin': calibration_begin,
|
|
|
|
'end': calibration_end
|
|
|
|
},
|
|
|
|
'reporting': {
|
|
|
|
'begin': reporting_begin,
|
|
|
|
'end': reporting_end
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
def main():
|
|
|
|
global TOKEN
|
|
|
|
args_parser = build_args_parser()
|
|
|
|
args = args_parser.parse_args()
|
|
|
|
if args.create_issues and not args.token:
|
|
|
|
raise ValueError(
|
|
|
|
'Missing --token argument, needed to create GitHub issues')
|
|
|
|
TOKEN = args.token
|
|
|
|
|
|
|
|
logging_level = getattr(logging, args.loglevel)
|
|
|
|
logging.basicConfig(format='%(asctime)s %(message)s', level=logging_level)
|
|
|
|
new_flakes = get_new_flakes(args)
|
|
|
|
|
|
|
|
dates = process_date_args(args)
|
|
|
|
|
|
|
|
dates_info_string = 'from {} until {} (calibrated from {} until {})'.format(
|
|
|
|
dates['reporting']['begin'].isoformat(),
|
|
|
|
dates['reporting']['end'].isoformat(),
|
|
|
|
dates['calibration']['begin'].isoformat(),
|
|
|
|
dates['calibration']['end'].isoformat())
|
|
|
|
|
|
|
|
if args.format == 'human':
|
|
|
|
if args.count_only:
|
|
|
|
print(len(new_flakes), dates_info_string)
|
|
|
|
elif new_flakes:
|
|
|
|
found_msg = 'Found {} new flakes {}'.format(len(new_flakes),
|
|
|
|
dates_info_string)
|
|
|
|
print(found_msg)
|
|
|
|
print('*' * len(found_msg))
|
|
|
|
print_table(new_flakes, 'human')
|
|
|
|
if args.create_issues:
|
|
|
|
create_issues(new_flakes, args.always_create_issues)
|
|
|
|
else:
|
|
|
|
print('No new flakes found '.format(len(new_flakes)),
|
|
|
|
dates_info_string)
|
|
|
|
elif args.format == 'csv':
|
|
|
|
if args.count_only:
|
|
|
|
print('from_date,to_date,count')
|
|
|
|
print('{},{},{}'.format(dates['reporting']['begin'].isoformat(),
|
|
|
|
dates['reporting']['end'].isoformat(),
|
|
|
|
len(new_flakes)))
|
|
|
|
else:
|
|
|
|
print_table(new_flakes, 'csv')
|
|
|
|
else:
|
|
|
|
raise ValueError('Invalid argument for --format: {}'.format(
|
|
|
|
args.format))
|
|
|
|
|
|
|
|
|
|
|
|
if __name__ == '__main__':
|
|
|
|
main()
|