The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
https://grpc.io/
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264 lines
9.8 KiB
264 lines
9.8 KiB
#!/usr/bin/env python |
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# Copyright 2015 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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"""Detect new flakes and create issues for them""" |
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from __future__ import absolute_import |
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from __future__ import division |
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from __future__ import print_function |
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import datetime |
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import json |
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import logging |
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import os |
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import pprint |
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import sys |
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import urllib2 |
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from collections import namedtuple |
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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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GH_ISSUES_URL = 'https://api.github.com/repos/grpc/grpc/issues' |
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KOKORO_BASE_URL = 'https://kokoro2.corp.google.com/job/' |
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def gh(url, data=None): |
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request = urllib2.Request(url, data=data) |
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assert TOKEN |
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request.add_header('Authorization', 'token {}'.format(TOKEN)) |
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if data: |
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request.add_header('Content-type', 'application/json') |
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response = urllib2.urlopen(request) |
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if 200 <= response.getcode() < 300: |
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return json.loads(response.read()) |
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else: |
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raise ValueError('Error ({}) accessing {}'.format( |
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response.getcode(), response.geturl())) |
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def create_gh_issue(title, body, labels): |
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data = json.dumps({'title': title, |
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'body': body, |
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'labels': labels}) |
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response = gh(GH_ISSUES_URL, data) |
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issue_url = response['html_url'] |
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print('Issue {} created for {}'.format(issue_url, title)) |
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def build_kokoro_url(job_name, build_id): |
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job_path = '{}/{}'.format('/job/'.join(job_name.split('/')), build_id) |
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return KOKORO_BASE_URL + job_path |
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def create_issues(new_flakes): |
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for test_name, results_row in new_flakes.items(): |
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poll_strategy, job_name, build_id, timestamp = results_row |
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url = build_kokoro_url(job_name, build_id) |
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title = 'New Flake: ' + test_name |
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body = '- Test: {}\n- Poll Strategy: {}\n- URL: {}'.format( |
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test_name, poll_strategy, url) |
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labels = ['infra/New Flakes'] |
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create_gh_issue(title, body, labels) |
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def print_table(table, format): |
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for test_name, results_row in table.items(): |
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poll_strategy, job_name, build_id, timestamp = results_row |
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ts = int(float(timestamp)) |
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# TODO(dgq): timezone handling is wrong. We need to determine the timezone |
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# of the computer running this script. |
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human_ts = datetime.datetime.utcfromtimestamp(ts).strftime('%Y-%m-%d %H:%M:%S UTC') |
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full_kokoro_url = build_kokoro_url(job_name, build_id) |
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if format == 'human': |
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print("\t- Test: {}, Polling: {}, Timestamp: {}, url: {}".format( |
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test_name, poll_strategy, human_ts, full_kokoro_url)) |
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else: |
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assert(format == 'csv') |
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print("{},{},{}".format(test_name, ts, human_ts, full_kokoro_url)) |
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Row = namedtuple('Row', ['poll_strategy', 'job_name', 'build_id', 'timestamp']) |
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def get_flaky_tests(from_date, to_date, limit=None): |
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"""Return flaky tests for date range (from_date, to_date], where both are |
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strings of the form "YYYY-MM-DD" """ |
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bq = big_query_utils.create_big_query() |
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query = """ |
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#standardSQL |
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SELECT |
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RTRIM(LTRIM(REGEXP_REPLACE(filtered_test_name, r'(/\d+)|(bins/.+/)|(cmake/.+/.+/)', ''))) AS test_binary, |
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REGEXP_EXTRACT(test_name, r'GRPC_POLL_STRATEGY=(\w+)') AS poll_strategy, |
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job_name, |
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build_id, |
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timestamp |
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FROM ( |
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SELECT |
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REGEXP_REPLACE(test_name, r'(/\d+)|(GRPC_POLL_STRATEGY=.+)', '') AS filtered_test_name, |
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test_name, |
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job_name, |
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build_id, |
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timestamp |
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FROM `grpc-testing.jenkins_test_results.aggregate_results` |
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WHERE |
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timestamp > TIMESTAMP("{from_date}") |
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AND timestamp <= TIMESTAMP("{to_date}") |
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AND NOT REGEXP_CONTAINS(job_name, 'portability') |
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AND result != 'PASSED' AND result != 'SKIPPED' |
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) |
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ORDER BY timestamp desc""".format( |
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from_date=from_date.isoformat(), to_date=to_date.isoformat()) |
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if limit: |
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query += '\n LIMIT {}'.format(limit) |
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logging.debug("Query:\n%s", query) |
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query_job = big_query_utils.sync_query_job(bq, 'grpc-testing', query) |
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page = bq.jobs().getQueryResults( |
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pageToken=None, **query_job['jobReference']).execute(num_retries=3) |
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rows = page.get('rows') |
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if rows: |
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return {row['f'][0]['v']: |
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Row(poll_strategy=row['f'][1]['v'], |
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job_name=row['f'][2]['v'], |
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build_id=row['f'][3]['v'], |
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timestamp=row['f'][4]['v']) |
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for row in rows} |
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else: |
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return {} |
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def parse_isodate(date_str): |
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return datetime.datetime.strptime(date_str, "%Y-%m-%d").date() |
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def get_new_flakes(args): |
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"""The from_date_str argument marks the beginning of the "calibration", used |
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to establish the set of pre-existing flakes, which extends over |
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"calibration_days". After the calibration period, "reporting_days" is the |
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length of time during which new flakes will be reported. |
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from |
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date |
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|--------------------|---------------| |
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^____________________^_______________^ |
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calibration reporting |
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days days |
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""" |
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dates = process_date_args(args) |
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calibration_results = get_flaky_tests(dates['calibration']['begin'], |
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dates['calibration']['end']) |
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reporting_results = get_flaky_tests(dates['reporting']['begin'], |
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dates['reporting']['end']) |
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logging.debug('Calibration results: %s', pprint.pformat(calibration_results)) |
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logging.debug('Reporting results: %s', pprint.pformat(reporting_results)) |
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calibration_names = set(calibration_results.keys()) |
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logging.info('|calibration_results (%s, %s]| = %d', |
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dates['calibration']['begin'].isoformat(), |
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dates['calibration']['end'].isoformat(), |
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len(calibration_names)) |
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reporting_names = set(reporting_results.keys()) |
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logging.info('|reporting_results (%s, %s]| = %d', |
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dates['reporting']['begin'].isoformat(), |
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dates['reporting']['end'].isoformat(), |
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len(reporting_names)) |
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new_flakes = reporting_names - calibration_names |
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logging.info('|new_flakes| = %d', len(new_flakes)) |
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return {k: reporting_results[k] for k in new_flakes} |
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def build_args_parser(): |
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import argparse, datetime |
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parser = argparse.ArgumentParser() |
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today = datetime.date.today() |
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a_week_ago = today - datetime.timedelta(days=7) |
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parser.add_argument('--calibration_days', type=int, default=7, |
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help='How many days to consider for pre-existing flakes.') |
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parser.add_argument('--reporting_days', type=int, default=1, |
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help='How many days to consider for the detection of new flakes.') |
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parser.add_argument('--count_only', dest='count_only', action='store_true', |
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help='Display only number of new flakes.') |
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parser.set_defaults(count_only=False) |
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parser.add_argument('--create_issues', dest='create_issues', action='store_true', |
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help='Create issues for all new flakes.') |
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parser.set_defaults(create_issues=False) |
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parser.add_argument('--token', type=str, default='', |
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help='GitHub token to use its API with a higher rate limit') |
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parser.add_argument('--format', type=str, choices=['human', 'csv'], |
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default='human', help='Output format: are you a human or a machine?') |
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parser.add_argument('--loglevel', type=str, |
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choices=['INFO', 'DEBUG', 'WARNING', 'ERROR', 'CRITICAL'], |
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default='WARNING', help='Logging level.') |
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return parser |
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def process_date_args(args): |
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calibration_begin = (datetime.date.today() - |
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datetime.timedelta(days=args.calibration_days) - |
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datetime.timedelta(days=args.reporting_days)) |
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calibration_end = calibration_begin + datetime.timedelta(days=args.calibration_days) |
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reporting_begin = calibration_end |
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reporting_end = reporting_begin + datetime.timedelta(days=args.reporting_days) |
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return {'calibration': {'begin': calibration_begin, 'end': calibration_end}, |
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'reporting': {'begin': reporting_begin, 'end': reporting_end }} |
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def main(): |
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global TOKEN |
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args_parser = build_args_parser() |
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args = args_parser.parse_args() |
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if args.create_issues and not args.token: |
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raise ValueError('Missing --token argument, needed to create GitHub issues') |
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TOKEN = args.token |
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logging_level = getattr(logging, args.loglevel) |
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logging.basicConfig(format='%(asctime)s %(message)s', level=logging_level) |
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new_flakes = get_new_flakes(args) |
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dates = process_date_args(args) |
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dates_info_string = 'from {} until {} (calibrated from {} until {})'.format( |
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dates['reporting']['begin'].isoformat(), |
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dates['reporting']['end'].isoformat(), |
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dates['calibration']['begin'].isoformat(), |
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dates['calibration']['end'].isoformat()) |
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if args.format == 'human': |
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if args.count_only: |
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print(len(new_flakes), dates_info_string) |
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elif new_flakes: |
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found_msg = 'Found {} new flakes {}'.format(len(new_flakes), dates_info_string) |
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print(found_msg) |
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print('*' * len(found_msg)) |
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print_table(new_flakes, 'human') |
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create_issues(new_flakes) |
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else: |
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print('No new flakes found '.format(len(new_flakes)), dates_info_string) |
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elif args.format == 'csv': |
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if args.count_only: |
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print('from_date,to_date,count') |
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print('{},{},{}'.format( |
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dates['reporting']['begin'].isoformat(), |
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dates['reporting']['end'].isoformat(), |
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len(new_flakes))) |
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else: |
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print('test,timestamp,readable_timestamp,url') |
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print_table(new_flakes, 'csv') |
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else: |
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raise ValueError('Invalid argument for --format: {}'.format(args.format)) |
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if __name__ == '__main__': |
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main()
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