Improvements to flake detection query

pull/12141/head
David Garcia Quintas 7 years ago
parent a27680b597
commit f277b17d50
  1. 52
      tools/flakes/detect_flakes.py

@ -20,6 +20,7 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import datetime
import os
import sys
import logging
@ -31,6 +32,16 @@ sys.path.append(gcp_utils_dir)
import big_query_utils
def print_table(table):
for i, (k, v) in enumerate(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')
print("{}. Test: {}, Timestamp: {}, id: {}@{}\n".format(i, k, human_ts, job_name, build_id))
def get_flaky_tests(days_lower_bound, days_upper_bound, limit=None):
""" period is one of "WEEK", "DAY", etc.
@ -39,42 +50,32 @@ def get_flaky_tests(days_lower_bound, days_upper_bound, limit=None):
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,
job_name,
build_id,
timestamp
FROM
FROM
[grpc-testing:jenkins_test_results.aggregate_results]
WHERE
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
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)
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
testname_to_cols = {row['f'][0]['v']:
(row['f'][1]['v'], row['f'][2]['v'], row['f'][3]['v'])
for row in page['rows']}
return testname_to_cols
def get_new_flakes():
last_week_sans_yesterday = get_flaky_tests(-7, -1)
last_week_sans_yesterday = get_flaky_tests(-14, -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())
@ -86,15 +87,10 @@ def get_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))
print_table(new_flakes)
if __name__ == '__main__':

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