72 lines
2.3 KiB
Python
72 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 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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import pandas as pd
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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 = None
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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_times = api.get_run_times_grouped_by_run_metadata_key(
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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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if not filter_list:
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df = pd.DataFrame(dict(
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[(k, pd.Series(v)) for k, v in run_times.iteritems()]))
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else:
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df = pd.DataFrame(dict(
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[(k, pd.Series(v)) for k, v in run_times.iteritems()
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if k in filter_list]))
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if not CONF.title:
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title = "Run aggregate run time grouped by metadata"
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else:
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title = CONF.title
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# NOTE(mtreinish): Decrease label font size for the worst case where we
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# have tons of groups
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matplotlib.rcParams['xtick.labelsize'] = '3'
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plt.figure()
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plt.title(title)
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df.plot(kind='box', rot=90)
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plt.ylabel('Time (sec.)')
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plt.tight_layout()
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plt.savefig(CONF.output, dpi=900)
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