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make_json.py
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make_json.py
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#!/usr/bin/env python3
# Copyright 2017 The Kubernetes 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.
"""Generate JSON for BigQuery importing."""
import argparse
import logging
import json
import os
import subprocess
import sys
import time
import traceback
try:
import defusedxml.ElementTree as ET
except ImportError:
import xml.etree.cElementTree as ET
import model
MAX_ROW_SIZE = 104857600 # 100MB
SECONDS_PER_DAY = 86400
def buckets_yaml():
import ruamel.yaml as yaml # pylint: disable=import-outside-toplevel
with open(os.path.dirname(os.path.abspath(__file__))+'/buckets.yaml') as fp:
return yaml.safe_load(fp)
# pypy compatibility hack
def python_buckets_yaml(python='python3'):
return json.loads(subprocess.check_output(
[python, '-c',
'import json, ruamel.yaml as yaml; print(json.dumps(yaml.safe_load(open("buckets.yaml"))))'
],
cwd=os.path.dirname(os.path.abspath(__file__))).decode("utf-8"))
for attempt in [python_buckets_yaml, buckets_yaml, lambda: python_buckets_yaml(python='python')]:
try:
BUCKETS = attempt()
break
except (ImportError, OSError):
traceback.print_exc()
else:
# pylint: disable=misplaced-bare-raise
# This is safe because the only way we get here is by faling all attempts
raise
# https://stackoverflow.com/questions/39047624/is-there-an-easy-way-to-estimate-size-of-a-json-object
class MeterFile:
"""
File-like object, throws away everything you write to it but keeps track of the size.
"""
def __init__(self, size=0):
self.size = size
def write(self, string):
self.size += len(string)
class Build:
"""
Represent Metadata and Details of a build. Leveraging the information in
Started.json and Finished.json
Should confrom to the schema set in TestGrid below
github.com/GoogleCloudPlatform/testgrid/blob/7d818/metadata/job.go#L23-L77
"""
# pylint: disable=too-many-instance-attributes
# Attrs represent underlying build object
def __init__(self, path, tests):
self.path = path
self.test = tests
self.tests_run = len(tests)
self.tests_failed = sum(t.get('failed', 0) for t in tests)
#From Started.json
self.started = None
self.executor = None
self.repo_commit = None
#From Finished.json
self.finished = None
self.result = None
self.passed = None
self.version = None
#From Either/Combo
self.repos = None
self.metadata = None
self.elapsed = None
self.populate_path_to_job_and_number()
@classmethod
def generate(cls, path, tests, started, finished, metadata, repos):
build = cls(path, tests)
build.populate_start(started)
build.populate_finish(finished)
build.populate_meta(metadata, repos)
build.set_elapsed()
return build
def populate_path_to_job_and_number(self):
assert not self.path.endswith('/')
for bucket, meta in BUCKETS.items():
if self.path.startswith(bucket):
prefix = meta['prefix']
break
#if job path not in buckets.yaml or gs://kubernetes-jenkins/pr-logs it is unmatched
else:
if self.path.startswith('gs://kubernetes-jenkins/pr-logs'):
prefix = 'pr:'
else:
raise ValueError(f'unknown build path for {self.path} in known bucket paths')
build = os.path.basename(self.path)
job = prefix + os.path.basename(os.path.dirname(self.path))
self.job = job
try:
self.number = int(build)
except ValueError:
self.number = None
def as_dict(self):
return {k: v for k, v in self.__dict__.items() if v is not None}
def populate_start(self, started):
if started:
self.started = int(started['timestamp'])
self.executor = started.get('node')
self.repo_commit = started.get('repo-commit', started.get('repo-version'))
self.repos = json.dumps(started.get('repos')) if started.get('repos') else None
def populate_finish(self, finished):
if finished:
self.finished = int(finished['timestamp'])
self.version = finished.get('version')
if 'result' in finished:
self.result = finished.get('result')
self.passed = self.result == 'SUCCESS'
elif isinstance(finished.get('passed'), bool):
self.passed = finished['passed']
self.result = 'SUCCESS' if self.passed else 'FAILURE'
def populate_meta(self, metadata, repos):
self.metadata = metadata
self.repos = self.repos if self.repos else repos
def set_elapsed(self):
if self.started and self.finished:
self.elapsed = self.finished - self.started
def parse_junit(xml):
"""Generate failed tests as a series of dicts. Ignore skipped tests."""
# NOTE: this is modified from gubernator/view_build.py
try:
tree = ET.fromstring(xml)
except ET.ParseError:
print("Malformed xml, skipping")
yield from [] #return empty itterator to skip results for this test
return
# pylint: disable=redefined-outer-name
def make_result(name, time, failure_text):
if failure_text:
if time is None:
return {'name': name, 'failed': True, 'failure_text': failure_text}
return {'name': name, 'time': time, 'failed': True, 'failure_text': failure_text}
if time is None:
return {'name': name}
return {'name': name, 'time': time}
# Note: skipped tests are ignored because they make rows too large for BigQuery.
# Knowing that a given build could have ran a test but didn't for some reason
# isn't very interesting.
def parse_result(child_node):
time = float(child_node.attrib.get('time') or 0) #time val can be ''
failure_text = None
for param in child_node.findall('failure'):
msg_attribute = param.attrib.get('message')
msg_data = param.text
if msg_attribute and msg_data:
# Use both. With Ginkgo V2, the attribute contains the failure message
# and the data contains the stack backtrace. We could leave out the
# stack backtrace, but the function names in it might be useful
# to distinguish different unrelated failures that happen to have the
# same message.
failure_text = msg_attribute + "\n" + msg_data
else:
# Use whatever we have, with a default if both are unset.
failure_text = msg_attribute or msg_data or 'No Failure Message Found'
skipped = child_node.findall('skipped')
return time, failure_text, skipped
if tree.tag == 'testsuite':
for child in tree.findall('testcase'):
name = child.attrib.get('name', '<unspecified>')
time, failure_text, skipped = parse_result(child)
if skipped:
continue
yield make_result(name, time, failure_text)
elif tree.tag == 'testsuites':
for testsuite in tree:
suite_name = testsuite.attrib.get('name', '<unspecified>')
for child in testsuite.findall('testcase'):
name = '%s %s' % (suite_name, child.attrib.get('name', '<unspecified>'))
time, failure_text, skipped = parse_result(child)
if skipped:
continue
yield make_result(name, time, failure_text)
else:
logging.error('unable to find failures, unexpected tag %s', tree.tag)
def row_for_build(path, started, finished, results):
"""
Generate an dictionary that represents a build as described by TestGrid's
job schema. See link for reference.
github.com/GoogleCloudPlatform/testgrid/blob/7d818/metadata/job.go#L23-L77
Args:
path (string): Path to file data for a build
started (dict): Values pulled from started.json for a build
finsihed (dict): Values pulled from finsihed.json for a build
results (array): List of file data that exits under path
Return:
Dict holding metadata and information pertinent to a build
to be stored in BigQuery
"""
tests = []
for result in results:
for test in parse_junit(result):
if '#' in test['name'] and not test.get('failed'):
continue # skip successful repeated tests
tests.append(test)
def get_metadata():
metadata = None
metapairs = None
repos = None
if finished and 'metadata' in finished:
metadata = finished['metadata']
elif started:
metadata = started.get('metadata')
if metadata:
# clean useless/duplicated metadata fields
if 'repo' in metadata and not metadata['repo']:
metadata.pop('repo')
build_version = finished.get('version', 'N/A')
if metadata.get('job-version') == build_version:
metadata.pop('job-version')
if metadata.get('version') == build_version:
metadata.pop('version')
for key, value in metadata.items():
if not isinstance(value, str):
# the schema specifies a string value. force it!
metadata[key] = json.dumps(value)
if key == 'repos':
repos = metadata[key]
metapairs = [{'key': k, 'value': v} for k, v in sorted(metadata.items())]
return metapairs, repos
metadata, repos = get_metadata()
build = Build.generate(path, tests, started, finished, metadata, repos)
return build.as_dict()
def get_table(days):
if days:
return ('build_emitted_%g' % days).replace('.', '_')
return 'build_emitted'
def parse_args(args):
parser = argparse.ArgumentParser()
parser.add_argument('--days', type=float, default=0,
help='Grab data for builds within N days')
parser.add_argument('--assert-oldest', type=float,
help='Exit nonzero if a build older than X days was emitted previously.')
parser.add_argument('--reset-emitted', action='store_true',
help='Clear list of already-emitted builds.')
parser.add_argument('paths', nargs='*',
help='Options list of gs:// paths to dump rows for.')
return parser.parse_args(args)
def make_rows(db, builds):
for rowid, path, started, finished in builds:
try:
results = db.test_results_for_build(path)
yield rowid, row_for_build(path, started, finished, results)
except IOError:
return
except: # pylint: disable=bare-except
logging.exception('error on %s', path)
def json_size(row):
meterfile = MeterFile()
json.dump(row, meterfile)
return meterfile.size
def main(db, opts, outfile):
min_started = 0
if opts.days:
min_started = time.time() - (opts.days or 1) * SECONDS_PER_DAY
incremental_table = get_table(opts.days)
if opts.assert_oldest:
oldest = db.get_oldest_emitted(incremental_table)
if oldest is None:
return 1 # if the table is empty, allow cycle
if oldest < time.time() - opts.assert_oldest * SECONDS_PER_DAY:
return 1 # if table is outdated, allow cycle
return 0
if opts.reset_emitted:
db.reset_emitted(incremental_table)
if opts.paths:
# When asking for rows for specific builds, use a dummy table and clear it first.
incremental_table = 'incremental_manual'
db.reset_emitted(incremental_table)
builds = list(db.get_builds_from_paths(opts.paths, incremental_table))
else:
builds = db.get_builds(min_started=min_started, incremental_table=incremental_table)
rows_emitted = set()
for rowid, row in make_rows(db, builds):
size = json_size(row)
if size > MAX_ROW_SIZE:
print('row for %s exceeds maximum for bigquery %d > %d' %
(row['path'], size, MAX_ROW_SIZE))
continue
json.dump(row, outfile, sort_keys=True)
outfile.write('\n')
rows_emitted.add(rowid)
if rows_emitted:
gen = db.insert_emitted(rows_emitted, incremental_table=incremental_table)
print('incremental progress gen #%d' % gen, file=sys.stderr)
else:
print('no rows emitted', file=sys.stderr)
return 0
if __name__ == '__main__':
DB = model.Database()
OPTIONS = parse_args(sys.argv[1:])
sys.exit(main(DB, OPTIONS, sys.stdout))