Exemple #1
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def generate_series():
    session = api.get_session()
    test_starts = api.get_test_run_series(session)
    session.close()
    ts = pd.Series(test_starts).resample('D', how='sum')
    daily_count = utils.filter_dates(ts)
    mean = pd.rolling_mean(daily_count, 10)
    rolling_std = pd.rolling_std(daily_count, 10)
    plt.figure()
    title = CONF.title or 'Number of tests run'
    plt.title(title)
    plt.ylabel('Number of tests')
    plt.plot(daily_count.index, daily_count, 'k', label='Daily Test Count')
    plt.plot(mean.index, mean, 'b', label='Avg. Daily Test Count')
    upper_std_dev = mean + 2 * rolling_std
    lower_std_dev = mean - 2 * rolling_std
    # Set negative numbers to 0
    lower_std_dev[lower_std_dev < 0] = 0
    plt.fill_between(rolling_std.index,
                     lower_std_dev,
                     upper_std_dev,
                     color='b',
                     alpha=0.2,
                     label='std dev')
    plt.legend()
    plt.savefig(CONF.output)
Exemple #2
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 def test_get_test_run_series_with_meta(self):
     timestamp_a = datetime.datetime.utcnow()
     timestamp_b = timestamp_a + datetime.timedelta(minutes=2)
     run_a = api.create_run(passes=5, run_at=timestamp_a)
     api.create_run(fails=2, run_at=timestamp_b)
     api.add_run_metadata({'not_a_key': 'not_a_value'}, run_a.id)
     result = api.get_test_run_series(key='not_a_key', value='not_a_value')
     self.assertEqual(1, len(result.keys()))
     self.assertIn(timestamp_a.replace(microsecond=0),
                   [x.replace(microsecond=0) for x in list(result.keys())])
     self.assertNotIn(
         timestamp_b.replace(microsecond=0),
         [x.replace(microsecond=0) for x in list(result.keys())])
     self.assertEqual(5, result[list(result.keys())[0]])
Exemple #3
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def generate_series():
    if CONF.start_date:
        start_date = datetime.datetime.strptime(CONF.start_date, '%Y-%m-%d')
    else:
        start_date = None
    if CONF.stop_date:
        stop_date = datetime.datetime.strptime(CONF.stop_date, '%Y-%m-%d')
    else:
        stop_date = None
    session = api.get_session()
    test_starts = api.get_test_run_series(start_date=start_date,
                                          stop_date=stop_date,
                                          session=session,
                                          key=CONF.command.dcmd_key,
                                          value=CONF.command.dcmd_value)
    session.close()
    ts = pd.Series(test_starts)
    daily_count = ts.resample('D').sum().fillna(value=0)
    mean = daily_count.rolling(window=10, center=False).mean()
    rolling_std = daily_count.rolling(window=10, center=False).std()
    plt.figure()
    title = CONF.title or 'Number of Tests run Daily'
    plt.title(title)
    plt.ylabel('Number of tests')
    fig, ax = plt.subplots(1)
    fig.autofmt_xdate()
    plt.title(title)
    plt.ylabel('Number of tests')
    xfmt = dates.DateFormatter("%b %d %Y")
    ax.xaxis_date()
    ax.xaxis.set_major_formatter(xfmt)

    plt.plot(daily_count.index[10:],
             daily_count[10:],
             'k',
             label='Daily Test Count')
    plt.plot(mean.index[10:], mean[10:], 'b', label='Avg. Daily Test Count')
    upper_std_dev = mean + 2 * rolling_std
    lower_std_dev = mean - 2 * rolling_std
    # Set negative numbers to 0
    lower_std_dev[lower_std_dev < 0] = 0
    plt.fill_between(rolling_std.index[10:],
                     lower_std_dev[10:],
                     upper_std_dev[10:],
                     color='b',
                     alpha=0.2,
                     label='Std Dev')
    plt.legend()
    plt.savefig(CONF.output, dpi=900)
Exemple #4
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 def test_get_test_run_series_with_meta(self):
     timestamp_a = datetime.datetime.utcnow()
     timestamp_b = timestamp_a + datetime.timedelta(minutes=2)
     run_a = api.create_run(passes=5, run_at=timestamp_a)
     api.create_run(fails=2, run_at=timestamp_b)
     api.add_run_metadata({'not_a_key': 'not_a_value'}, run_a.id)
     result = api.get_test_run_series(key='not_a_key',
                                      value='not_a_value')
     self.assertEqual(1, len(result.keys()))
     self.assertIn(timestamp_a.replace(microsecond=0),
                   [x.replace(microsecond=0) for x in list(result.keys())])
     self.assertNotIn(timestamp_b.replace(microsecond=0),
                      [x.replace(microsecond=0) for x in list(
                          result.keys())])
     self.assertEqual(5, result[list(result.keys())[0]])
Exemple #5
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 def test_get_test_run_series(self):
     timestamp_a = datetime.datetime.utcnow()
     timestamp_b = timestamp_a + datetime.timedelta(minutes=2)
     api.create_run(passes=5, run_at=timestamp_a)
     api.create_run(fails=2, run_at=timestamp_b)
     result = api.get_test_run_series(key=None, value=None)
     self.assertEqual(2, len(result.keys()))
     self.assertIn(timestamp_a.replace(microsecond=0),
                   [x.replace(microsecond=0) for x in list(result.keys())])
     self.assertIn(timestamp_b.replace(microsecond=0),
                   [x.replace(microsecond=0) for x in list(result.keys())])
     for timestamp in result:
         if timestamp.replace(microsecond=0) == timestamp_a.replace(
                 microsecond=0):
             self.assertEqual(5, result[timestamp])
         else:
             self.assertEqual(2, result[timestamp])
Exemple #6
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 def test_get_test_run_series(self):
     timestamp_a = datetime.datetime.utcnow()
     timestamp_b = timestamp_a + datetime.timedelta(minutes=2)
     api.create_run(passes=5, run_at=timestamp_a)
     api.create_run(fails=2, run_at=timestamp_b)
     result = api.get_test_run_series(key=None, value=None)
     self.assertEqual(2, len(result.keys()))
     self.assertIn(timestamp_a.replace(microsecond=0),
                   [x.replace(microsecond=0) for x in list(result.keys())])
     self.assertIn(timestamp_b.replace(microsecond=0),
                   [x.replace(microsecond=0) for x in list(result.keys())])
     for timestamp in result:
         if timestamp.replace(
             microsecond=0) == timestamp_a.replace(microsecond=0):
             self.assertEqual(5, result[timestamp])
         else:
             self.assertEqual(2, result[timestamp])
def generate_series():
    if CONF.start_date:
        start_date = datetime.datetime.strptime(CONF.start_date, '%Y-%m-%d')
    else:
        start_date = None
    if CONF.stop_date:
        stop_date = datetime.datetime.strptime(CONF.stop_date, '%Y-%m-%d')
    else:
        stop_date = None
    session = api.get_session()
    test_starts = api.get_test_run_series(start_date=start_date,
                                          stop_date=stop_date,
                                          session=session,
                                          key=CONF.command.dcmd_key,
                                          value=CONF.command.dcmd_value)
    session.close()
    ts = pd.Series(test_starts)
    daily_count = ts.resample('D').sum().fillna(value=0)
    mean = daily_count.rolling(window=10, center=False).mean()
    rolling_std = daily_count.rolling(window=10, center=False).std()
    plt.figure()
    title = CONF.title or 'Number of Tests run Daily'
    plt.title(title)
    plt.ylabel('Number of tests')
    fig, ax = plt.subplots(1)
    fig.autofmt_xdate()
    plt.title(title)
    plt.ylabel('Number of tests')
    xfmt = dates.DateFormatter("%b %d %Y")
    ax.xaxis_date()
    ax.xaxis.set_major_formatter(xfmt)

    plt.plot(daily_count.index[10:], daily_count[10:], 'k',
             label='Daily Test Count')
    plt.plot(mean.index[10:], mean[10:], 'b', label='Avg. Daily Test Count')
    upper_std_dev = mean + 2 * rolling_std
    lower_std_dev = mean - 2 * rolling_std
    # Set negative numbers to 0
    lower_std_dev[lower_std_dev < 0] = 0
    plt.fill_between(rolling_std.index[10:], lower_std_dev[10:],
                     upper_std_dev[10:],
                     color='b', alpha=0.2, label='Std Dev')
    plt.legend()
    plt.savefig(CONF.output, dpi=CONF.dpi)
Exemple #8
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def generate_series():
    session = api.get_session()
    test_starts = api.get_test_run_series(session)
    session.close()
    ts = pd.Series(test_starts).resample('D', how='sum')
    daily_count = utils.filter_dates(ts)
    mean = pd.rolling_mean(daily_count, 10)
    rolling_std = pd.rolling_std(daily_count, 10)
    plt.figure()
    title = CONF.title or 'Number of tests run'
    plt.title(title)
    plt.ylabel('Number of tests')
    plt.plot(daily_count.index, daily_count, 'k', label='Daily Test Count')
    plt.plot(mean.index, mean, 'b', label='Avg. Daily Test Count')
    upper_std_dev = mean + 2 * rolling_std
    lower_std_dev = mean - 2 * rolling_std
    # Set negative numbers to 0
    lower_std_dev[lower_std_dev < 0] = 0
    plt.fill_between(rolling_std.index, lower_std_dev, upper_std_dev,
                     color='b', alpha=0.2, label='std dev')
    plt.legend()
    plt.savefig(CONF.output)