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#!/usr/bin/env vpython3
# Copyright 2018 The Chromium Authors
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import argparse
import collections
import json
import subprocess
import sys
_CLOUD_PROJECT_ID = 'chrome-luci-data'
QUERY_BY_BUILD_NUMBER = """
SELECT
test_id AS name,
SUM(duration) AS duration
FROM
`%s.chrome.ci_test_results`
WHERE
DATE(partition_time) = "{}"
AND exported.id like "{}"
GROUP BY
test_id
ORDER BY
test_id
LIMIT
1000
""" % _CLOUD_PROJECT_ID
QUERY_STORY_AVG_RUNTIME = """
SELECT
test_id AS name,
ROUND(AVG(duration)) AS duration
FROM
`%s.chrome.ci_test_results`
CROSS JOIN
UNNEST(variant) AS v
WHERE
v.key = 'builder'
AND v.value IN ({configuration_names})
AND duration IS NOT NULL
AND duration != 0
AND expected
AND DATE(partition_time) > DATE_SUB(CURRENT_DATE(), INTERVAL {num_last_days} DAY)
GROUP BY
test_id
ORDER BY
test_id
""" % _CLOUD_PROJECT_ID
QUERY_STORY_TOTAL_RUNTIME = """
SELECT
test_id AS name,
ROUND(AVG(time)) AS duration,
FROM (
SELECT
parent.id,
test_id,
SUM(duration) AS time
FROM
`%s.chrome.ci_test_results`
CROSS JOIN
UNNEST(variant) AS v
WHERE
v.key = 'builder'
AND v.value IN ({configuration_names})
AND duration IS NOT NULL
AND duration != 0
AND expected
AND DATE(partition_time) > DATE_SUB(CURRENT_DATE(), INTERVAL {num_last_days} DAY)
GROUP BY
parent.id,
test_id)
GROUP BY
test_id
ORDER BY
test_id
""" % _CLOUD_PROJECT_ID
_BQ_SETUP_INSTRUCTION = """
** NOTE: this script is only for Googlers to use. **
bq script isn't found on your machine. To run this script, you need to be able
to run bigquery in your terminal.
If this is the first time you run the script, do the following steps:
1) Follow the steps at https://cloud.google.com/sdk/docs/ to download and
unpack google-cloud-sdk in your home directory.
2) Run `gcloud auth login`
3) Run `gcloud config set project chrome-luci-data`
3a) If 'chrome-luci-data' does not show up, contact chops-data@
to be added as a user of the table
4) Run this script!
"""
def _run_query(query):
try:
subprocess.check_call(['which', 'bq'])
except subprocess.CalledProcessError:
raise RuntimeError(_BQ_SETUP_INSTRUCTION)
args = ["bq", "query", "--project_id="+_CLOUD_PROJECT_ID, "--format=json",
"--max_rows=100000", "--nouse_legacy_sql", query]
p = subprocess.Popen(args, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout, stderr = p.communicate()
if p.returncode == 0:
return json.loads(stdout)
raise RuntimeError(
'Error generating authentication token.\nStdout: %s\nStder:%s' %
(stdout, stderr))
def FetchStoryTimingDataForSingleBuild(date, build_number):
return _run_query(QUERY_BY_BUILD_NUMBER.format(date, build_number))
def FetchAverageStoryTimingData(configurations, num_last_days):
configurations_str = ','.join(repr(c) for c in configurations)
return _run_query(QUERY_STORY_AVG_RUNTIME.format(
configuration_names=configurations_str, num_last_days=num_last_days))
def FetchBenchmarkRuntime(configurations, num_last_days):
configurations_str = ','.join(repr(c) for c in configurations)
test_total_runtime = _run_query(QUERY_STORY_TOTAL_RUNTIME.format(
configuration_names=configurations_str, num_last_days=num_last_days))
benchmarks_data = collections.OrderedDict()
total_runtime = 0
total_num_stories = 0
for item in test_total_runtime:
duration = item['duration']
test_name = item['name']
benchmark_name, _ = test_name.split('/', 1)
if not benchmark_name in benchmarks_data:
benchmarks_data[benchmark_name] = {
'num_stories': 0,
'total_runtime_in_seconds': 0,
}
benchmarks_data[benchmark_name]['num_stories'] += 1
total_num_stories += 1
benchmarks_data[benchmark_name]['total_runtime_in_seconds'] += (
float(duration))
total_runtime += float(duration)
benchmarks_data['All benchmarks'] = {
'total_runtime_in_seconds': total_runtime,
'num_stories': total_num_stories
}
return benchmarks_data
_FETCH_BENCHMARK_RUNTIME = 'fetch-benchmark-runtime'
_FETCH_STORY_RUNTIME = 'fetch-story-runtime'
def main(args):
parser = argparse.ArgumentParser(
description='Retrieve story timing from bigquery.')
parser.add_argument('action',
choices=[_FETCH_BENCHMARK_RUNTIME, _FETCH_STORY_RUNTIME])
parser.add_argument(
'--output-file', '-o', action='store', required=True,
help='The filename to send the bigquery results to.')
parser.add_argument(
'--configurations', '-c', action='append', required=True,
help='The configuration(s) of the builder to query results from.')
parser.add_argument(
'--date', '-d',
help='The date to query results from.')
parser.add_argument(
'--build-number', action='store',
help='If specified, the build number to get timing data from.')
opts = parser.parse_args(args)
if opts.action == _FETCH_BENCHMARK_RUNTIME:
data = FetchBenchmarkRuntime(opts.configurations, num_last_days=5)
else:
if opts.build_number:
data = FetchStoryTimingDataForSingleBuild(opts.date, opts.build_number)
else:
data = FetchAverageStoryTimingData(opts.configurations, num_last_days=5)
with open(opts.output_file, 'w') as output_file:
json.dump(data, output_file, indent = 4, separators=(',', ': '))
if __name__ == '__main__':
sys.exit(main(sys.argv[1:]))
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