65 lines
2.3 KiB
Python
65 lines
2.3 KiB
Python
# Copyright 2015 Hewlett-Packard Development Company, L.P.
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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 operator
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from dateutil import parser as date_parser
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import matplotlib.pyplot as plt
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import numpy
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from oslo_config import cfg
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from subunit2sql.db import api
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CONF = cfg.CONF
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def set_cli_opts(parser):
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parser.add_argument('key', nargs='?',
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help='The run metadata key to aggregate the run times'
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' on.')
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parser.add_argument('--num', default=10, type=int,
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help='The number of results to show. If 0 is set all '
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'results will be shown')
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def generate_series():
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session = api.get_session()
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start_date = None
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stop_date = None
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if CONF.start_date:
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start_date = date_parser.parse(CONF.start_date)
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if CONF.stop_date:
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stop_date = date_parser.parse(CONF.stop_date)
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ci_time = {}
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ci_time_temp = {}
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project_run_times = api.get_run_times_grouped_by_run_metadata_key(
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CONF.command.key, start_date=start_date, stop_date=stop_date,
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session=session)
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for project in project_run_times:
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ci_time_temp[project] = numpy.sum(project_run_times[project])
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sorted_times = sorted(ci_time_temp.items(), key=operator.itemgetter(1),
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reverse=True)
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if CONF.command.num:
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sorted_times = sorted_times[:CONF.command.num]
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for project, time in sorted_times:
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ci_time[project] = time
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title = CONF.title or 'Aggregate Run Time grouped by %s' % CONF.command.key
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session.close()
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plt.bar(range(len(ci_time)), ci_time.values(), align='center', width=.1)
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plt.xticks(range(len(ci_time)), ci_time.keys(), rotation=90, fontsize=8)
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plt.title(title)
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plt.tight_layout()
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plt.savefig(CONF.output, dpi=900)
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