6e9dae785f
This commit adds a new flag, --dpi, to the subunit2sql-graph command. This flag is used to specify a DPI for generated graph images. Previously most graph commands hard coded the DPI to 900 (which is far too high for most people) and others didn't specify one. This commit changes that so it's user adjustable and consistent between all commands. Change-Id: I5c8c48bda18daff11d6069c35451d932ffe4e33b
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, dpi=CONF.dpi)
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return ts
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