80 lines
2.9 KiB
Python
80 lines
2.9 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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from oslo_config import cfg
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import pandas as pd
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from subunit2sql.analysis import utils
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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('test_id', nargs='?',
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help='Test id to extract time series for. This '
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'previously took a UUID from the tests.id '
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'column, however this will no longer work. It '
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'only works with a value from tests.test_id.'),
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parser.add_argument('--success-graph', action='store_true',
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help='Also graph successes'),
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parser.add_argument('--skip-graph', action='store_true',
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help='Also graph skips')
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def generate_series():
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session = api.get_session()
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test_id = api.get_id_from_test_id(CONF.command.test_id, session)
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test_statuses = api.get_test_status_time_series(test_id, session)
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if not CONF.title:
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test = api.get_test_by_id(test_id, session)
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session.close()
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ts = pd.Series(test_statuses)
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ts = utils.filter_dates(ts)
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run_count = len(ts)
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if run_count == 0:
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print("Query returned no data.")
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exit(-1)
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failures = ts[ts.isin(['fail', 'unxsuccess'])]
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successes = ts[ts.isin(['success', 'xfail'])]
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skips = ts[ts.isin(['skip'])]
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fail_count = len(failures)
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success_count = len(successes)
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skip_count = len(skips)
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fail_group = failures.groupby(failures.index.date).agg(len)
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success_group = successes.groupby(successes.index.date).agg(len)
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skip_group = skips.groupby(skips.index.date).agg(len)
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if not CONF.title:
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plot = fail_group.plot().set_title(test.test_id)
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else:
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plot = fail_group.plot().set_title(CONF.title)
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if CONF.command.success_graph:
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if success_count:
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success_group.plot()
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if CONF.command.skip_graph:
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if skip_count:
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skip_group.plot()
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def percent(count, total):
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count = float(count)
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total = float(total)
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return (count / total) * 100.0
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print('Fail Percentage: %.4f%%' % percent(fail_count, run_count))
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print('Success Percentage: %.4f%%' % percent(success_count, run_count))
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print('Skip Percentage: %.4f%%' % percent(skip_count, run_count))
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fig = plot.get_figure()
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fig.savefig(CONF.output)
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return ts
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