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author | 2018-06-08 18:07:35 +0200 | |
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committer | 2018-06-11 08:30:21 +0000 | |
commit | beeb2acb9ac153eaa54983bea46a76d596168965 (patch) | |
tree | 0465617b135a2e64693265969c48ff466db3d287 /resources/tools/presentation/new/jumpavg/AvgStdevMetadataFactory.py | |
parent | 3dcef45002a1b82c4503ec590d680950930fa193 (diff) |
CSIT-1110: Integrate anomaly detection into PAL
+ Keep the original detection,
+ add the new one as subdirectory
(both in source and in rendered tree).
- The new detection is not rebased over "Add dpdk mrr tests to trending".
New detection features:
+ Do not remove (nor detect) outliers.
+ Trend line shows the constant average within a group.
+ Anomaly circles are placed at the changed average.
+ Small bias against too similar averages.
+ Should be ready for moving the detection library out to pip.
Change-Id: I7ab1a92b79eeeed53ba65a071b1305e927816a89
Signed-off-by: Vratko Polak <vrpolak@cisco.com>
Diffstat (limited to 'resources/tools/presentation/new/jumpavg/AvgStdevMetadataFactory.py')
-rw-r--r-- | resources/tools/presentation/new/jumpavg/AvgStdevMetadataFactory.py | 49 |
1 files changed, 49 insertions, 0 deletions
diff --git a/resources/tools/presentation/new/jumpavg/AvgStdevMetadataFactory.py b/resources/tools/presentation/new/jumpavg/AvgStdevMetadataFactory.py new file mode 100644 index 0000000000..d7d0517a57 --- /dev/null +++ b/resources/tools/presentation/new/jumpavg/AvgStdevMetadataFactory.py @@ -0,0 +1,49 @@ +# Copyright (c) 2018 Cisco and/or its affiliates. +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at: +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import math + +from AvgStdevMetadata import AvgStdevMetadata + + +class AvgStdevMetadataFactory(object): + """Class factory which creates avg,stdev metadata from data.""" + + @staticmethod + def from_data(values): + """Return new metadata object fitting the values. + + :param values: Run values to be processed. + :type values: Iterable of float or of AvgStdevMetadata + :returns: The metadata matching the values. + :rtype: AvgStdevMetadata + """ + sum_0 = 0 + sum_1 = 0.0 + sum_2 = 0.0 + for value in values: + if isinstance(value, AvgStdevMetadata): + sum_0 += value.size + sum_1 += value.avg * value.size + sum_2 += value.stdev * value.stdev * value.size + sum_2 += value.avg * value.avg * value.size + else: # The value is assumed to be float. + sum_0 += 1 + sum_1 += value + sum_2 += value * value + if sum_0 < 1: + return AvgStdevMetadata() + avg = sum_1 / sum_0 + stdev = math.sqrt(sum_2 / sum_0 - avg * avg) + ret_obj = AvgStdevMetadata(size=sum_0, avg=avg, stdev=stdev) + return ret_obj |