78 lines
2.5 KiB
Python
78 lines
2.5 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 datetime
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import matplotlib
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import matplotlib.pyplot as plt
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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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matplotlib.style.use('ggplot')
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def set_cli_opts(parser):
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parser.add_argument('metadata_key',
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help="The run_metadata key to group the runs by")
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parser.add_argument('--filter_list', '-f',
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help='A comma seperated list of values to use')
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def generate_series():
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session = api.get_session()
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if CONF.command.filter_list:
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filter_list = CONF.command.filter_list.split(',')
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else:
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filter_list = []
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if CONF.start_date:
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start_date = datetime.datetime.strptime(CONF.start_date, '%Y-%m-%d')
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else:
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start_date = None
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if CONF.stop_date:
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stop_date = datetime.datetime.strptime(CONF.stop_date, '%Y-%m-%d')
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else:
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stop_date = None
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run_status = api.get_runs_by_status_grouped_by_run_metadata(
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CONF.command.metadata_key, start_date=start_date,
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stop_date=stop_date, session=session)
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perc_data = {}
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for key in run_status:
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if key not in filter_list:
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continue
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if run_status[key].get('pass'):
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pass_num = float(run_status[key]['pass'])
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else:
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pass_num = 0.0
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if run_status[key].get('fail'):
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fail_num = float(run_status[key]['fail'])
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else:
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fail_num = 0.0
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fail_rate = float(fail_num / (pass_num + fail_num) * 100)
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if fail_rate > 0.0:
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perc_data[key] = fail_rate
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if not CONF.title:
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title = "Run aggregate failure rate grouped by metadata"
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else:
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title = CONF.title
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plt.figure()
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plt.title(title)
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plt.barh(range(len(perc_data)), perc_data.values(), align='center')
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locs, labels = plt.yticks(range(len(perc_data)), list(perc_data.keys()))
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plt.xlabel('Failure Percentage')
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plt.tight_layout()
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plt.savefig(CONF.output, dpi=900)
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