Dailycount should not need build_queue to exist.
Dailycount assumes that there is a metadata item called build_queue with value gate and if this does not exist in the database, the tool will fail messily. This patch allows you to specify the md key and value to be used. Note, it also treats NAN data by filling with 0 - otherwise the graph gets very confused. Patch set 2 - Fixed pep8 issues. Fixed option ordering issue as per review comments. Patch set 3 - Removed debug print statement. Change-Id: I51baf2ee15d65e315c8142824fae13d964d9f973 Story: 2001034
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@ -28,7 +28,17 @@ matplotlib.style.use('ggplot')
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def set_cli_opts(parser):
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pass
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parser.add_argument('--dcmd_key', default='build_queue',
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help="When running dailycount, the runs included are "
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"filtered based on metadata. If one is not "
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"provided, a default of \"build_queue\" is used "
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"as the metadata key.")
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parser.add_argument('--dcmd_value', default='gate',
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help="When running dailycount, the runs included are "
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"filtered based on metadata. This option "
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"specifies the value that metadata should have. "
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"If not specified, a default of \"gate\" is "
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"used.")
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def generate_series():
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@ -43,10 +53,12 @@ def generate_series():
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session = api.get_session()
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test_starts = api.get_test_run_series(start_date=start_date,
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stop_date=stop_date,
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session=session)
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session=session,
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key=CONF.command.dcmd_key,
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value=CONF.command.dcmd_value)
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session.close()
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ts = pd.Series(test_starts)
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daily_count = ts.resample('D').sum()
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daily_count = ts.resample('D').sum().fillna(value=0)
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mean = daily_count.rolling(window=10, center=False).mean()
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rolling_std = daily_count.rolling(window=10, center=False).std()
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plt.figure()
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