128 lines
4.1 KiB
Python
Executable File
128 lines
4.1 KiB
Python
Executable File
#!/usr/bin/env python
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# All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# 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, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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import argparse
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import itertools
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import json
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import yaml
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import elastic_recheck.config as er_conf
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import elastic_recheck.log as logging
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import elastic_recheck.results as er_results
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LOG = logging.getLogger('erquery')
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DEFAULT_NUMBER_OF_DAYS = 10
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DEFAULT_MAX_QUANTITY = 5
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IGNORED_ATTRIBUTES = [
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'build_master',
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'build_patchset',
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'build_ref',
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'build_short_uuid',
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'build_uuid',
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'error_pr',
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'host',
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'received_at',
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'type',
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]
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def analyze_attributes(attributes):
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analysis = {}
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for attribute, values in attributes.iteritems():
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if attribute[0] == '@' or attribute == 'message':
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# skip meta attributes and raw messages
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continue
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analysis[attribute] = []
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total_hits = sum(values.values())
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for value_hash, hits in values.iteritems():
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value = json.loads(value_hash)
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analysis[attribute].append((100.0 * hits / total_hits, value))
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# sort by hit percentage descending, and then by value ascending
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analysis[attribute] = sorted(
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analysis[attribute],
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key=lambda x: (1 - x[0], x[1]))
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return analysis
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def query(query_file_name, config=None, days=DEFAULT_NUMBER_OF_DAYS,
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quantity=DEFAULT_MAX_QUANTITY, verbose=False,):
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_config = config or er_conf.Config()
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es = er_results.SearchEngine(url=_config.es_url,
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indexfmt=_config.es_index_format)
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with open(query_file_name) as f:
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query_file = yaml.load(f.read())
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query = query_file['query']
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r = es.search(query, days=days)
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print('total hits: %s' % r.hits['total'])
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attributes = {}
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for hit in r.hits['hits']:
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for key, value in hit['_source'].iteritems():
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value_hash = json.dumps(value)
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attributes.setdefault(key, {}).setdefault(value_hash, 0)
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attributes[key][value_hash] += 1
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analysis = analyze_attributes(attributes)
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for attribute, results in sorted(analysis.iteritems()):
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if not verbose and attribute in IGNORED_ATTRIBUTES:
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# skip less-than-useful attributes to reduce noise in the report
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continue
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print(attribute)
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for percentage, value in itertools.islice(results, quantity):
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if isinstance(value, list):
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value = ' '.join(unicode(x) for x in value)
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print(' %d%% %s' % (percentage, value))
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def main():
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parser = argparse.ArgumentParser(
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description='Execute elastic-recheck query files and analyze the '
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'results.')
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parser.add_argument(
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'query_file', type=argparse.FileType('r'),
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help='Path to an elastic-recheck YAML query file.')
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parser.add_argument(
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'--quantity', '-q', type=int, default=DEFAULT_MAX_QUANTITY,
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help='Maximum quantity of values to show for each attribute.')
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parser.add_argument(
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'--days', '-d', type=int, default=DEFAULT_NUMBER_OF_DAYS,
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help='Timespan to query, in days.')
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parser.add_argument(
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'--verbose', '-v', action='store_true', default=False,
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help='Report on additional query metadata.')
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parser.add_argument('-c', '--conf', help="Elastic Recheck Configuration "
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"file to use for data_source options such as "
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"elastic search url, logstash url, and database uri.")
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args = parser.parse_args()
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config = er_conf.Config(config_file=args.conf)
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query(args.query_file.name, config=config, days=args.days,
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quantity=args.quantity, verbose=args.verbose)
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if __name__ == "__main__":
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main()
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