mirror of https://github.com/grpc/grpc.git
The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
https://grpc.io/
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309 lines
11 KiB
309 lines
11 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 urllib |
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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_ISSUE_CREATION_URL = 'https://api.github.com/repos/grpc/grpc/issues' |
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GH_ISSUE_SEARCH_URL = 'https://api.github.com/search/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 search_gh_issues(search_term, status='open'): |
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params = ' '.join((search_term, 'is:issue', 'is:open', 'repo:grpc/grpc')) |
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qargs = urllib.urlencode({'q': params}) |
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url = '?'.join((GH_ISSUE_SEARCH_URL, qargs)) |
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response = gh(url) |
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return response |
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def create_gh_issue(title, body, labels, assignees=[]): |
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params = {'title': title, 'body': body, 'labels': labels} |
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if assignees: |
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params['assignees'] = assignees |
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data = json.dumps(params) |
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response = gh(GH_ISSUE_CREATION_URL, data) |
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issue_url = response['html_url'] |
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print('Created issue {} 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, always_create): |
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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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# TODO(dgq): the Kokoro URL has a limited lifetime. The permanent and ideal |
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# URL would be the sponge one, but there's currently no easy way to retrieve |
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# it. |
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url = build_kokoro_url(job_name, build_id) |
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title = 'New Failure: ' + 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 Failure'] |
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if always_create: |
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proceed = True |
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else: |
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preexisting_issues = search_gh_issues(test_name) |
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if preexisting_issues['total_count'] > 0: |
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print('\nFound {} issues for "{}":'.format( |
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preexisting_issues['total_count'], test_name)) |
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for issue in preexisting_issues['items']: |
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print('\t"{}" ; URL: {}'.format(issue['title'], |
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issue['html_url'])) |
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else: |
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print( |
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'\nNo preexisting issues found for "{}"'.format(test_name)) |
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proceed = raw_input( |
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'Create issue for:\nTitle: {}\nBody: {}\n[Y/n] '.format( |
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title, body)) in ('y', 'Y', '') |
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if proceed: |
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assignees_str = raw_input( |
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'Asignees? (comma-separated, leave blank for unassigned): ') |
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assignees = [ |
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assignee.strip() for assignee in assignees_str.split(',') |
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] |
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create_gh_issue(title, body, labels, assignees) |
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def print_table(table, format): |
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first_time = True |
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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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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, timestamp, full_kokoro_url)) |
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else: |
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assert (format == 'csv') |
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if first_time: |
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print('test,timestamp,url') |
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first_time = False |
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print("{},{},{}".format(test_name, timestamp, full_kokoro_url)) |
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Row = namedtuple('Row', ['poll_strategy', 'job_name', 'build_id', 'timestamp']) |
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def get_new_failures(dates): |
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bq = big_query_utils.create_big_query() |
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this_script_path = os.path.join(os.path.dirname(__file__)) |
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sql_script = os.path.join(this_script_path, 'sql/new_failures_24h.sql') |
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with open(sql_script) as query_file: |
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query = query_file.read().format( |
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calibration_begin=dates['calibration']['begin'], |
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calibration_end=dates['calibration']['end'], |
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reporting_begin=dates['reporting']['begin'], |
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reporting_end=dates['reporting']['end']) |
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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 { |
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row['f'][0]['v']: Row( |
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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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} |
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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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new_failures = get_new_failures(dates) |
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logging.info('|new failures| = %d', len(new_failures)) |
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return new_failures |
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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( |
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'--calibration_days', |
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type=int, |
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default=7, |
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help='How many days to consider for pre-existing flakes.') |
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parser.add_argument( |
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'--reporting_days', |
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type=int, |
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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( |
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'--count_only', |
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dest='count_only', |
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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( |
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'--create_issues', |
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dest='create_issues', |
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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( |
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'--always_create_issues', |
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dest='always_create_issues', |
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action='store_true', |
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help='Always create issues for all new flakes. Otherwise,' |
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' interactively prompt for every issue.') |
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parser.set_defaults(always_create_issues=False) |
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parser.add_argument( |
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'--token', |
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type=str, |
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default='', |
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help='GitHub token to use its API with a higher rate limit') |
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parser.add_argument( |
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'--format', |
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type=str, |
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choices=['human', 'csv'], |
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default='human', |
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help='Output format: are you a human or a machine?') |
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parser.add_argument( |
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'--loglevel', |
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type=str, |
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choices=['INFO', 'DEBUG', 'WARNING', 'ERROR', 'CRITICAL'], |
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default='WARNING', |
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help='Logging level.') |
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return parser |
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def process_date_args(args): |
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calibration_begin = ( |
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datetime.date.today() - 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( |
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days=args.calibration_days) |
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reporting_begin = calibration_end |
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reporting_end = reporting_begin + datetime.timedelta( |
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days=args.reporting_days) |
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return { |
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'calibration': { |
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'begin': calibration_begin, |
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'end': calibration_end |
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}, |
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'reporting': { |
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'begin': reporting_begin, |
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'end': reporting_end |
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} |
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} |
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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( |
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'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( |
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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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if args.create_issues: |
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create_issues(new_flakes, args.always_create_issues) |
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else: |
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print('No new flakes found '.format(len(new_flakes)), |
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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(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_table(new_flakes, 'csv') |
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else: |
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raise ValueError('Invalid argument for --format: {}'.format( |
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args.format)) |
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if __name__ == '__main__': |
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main()
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