From beeb2acb9ac153eaa54983bea46a76d596168965 Mon Sep 17 00:00:00 2001 From: Vratko Polak Date: Fri, 8 Jun 2018 18:07:35 +0200 Subject: 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 --- .../new/jumpavg/BitCountingMetadataFactory.py | 80 ++++++++++++++++++++++ 1 file changed, 80 insertions(+) create mode 100644 resources/tools/presentation/new/jumpavg/BitCountingMetadataFactory.py (limited to 'resources/tools/presentation/new/jumpavg/BitCountingMetadataFactory.py') diff --git a/resources/tools/presentation/new/jumpavg/BitCountingMetadataFactory.py b/resources/tools/presentation/new/jumpavg/BitCountingMetadataFactory.py new file mode 100644 index 0000000000..5a7b393b55 --- /dev/null +++ b/resources/tools/presentation/new/jumpavg/BitCountingMetadataFactory.py @@ -0,0 +1,80 @@ +# 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 +from AvgStdevMetadataFactory import AvgStdevMetadataFactory +from BitCountingMetadata import BitCountingMetadata + + +class BitCountingMetadataFactory(object): + """Class for factory which creates bit counting metadata from data.""" + + @staticmethod + def find_max_value(values): + """Return the max value. + + This is a separate helper method, + because the whole set of values is usually larger than in from_data(). + + :param values: Run values to be processed. + :type values: Iterable of float + :returns: 0.0 or the biggest value found. + :rtype: float + """ + max_value = 0.0 + for value in values: + if isinstance(value, AvgStdevMetadata): + value = value.avg + if value > max_value: + max_value = value + return max_value + + def __init__(self, max_value, prev_avg=None): + """Construct the factory instance with given arguments. + + :param max_value: Maximal expected value. + :param prev_avg: Population average of the previous group. + If None, no previous average is taken into account. + If not None, the given previous average is used to discourage + consecutive groups with similar averages + (opposite triangle distribution is assumed). + :type max_value: float + :type prev_avg: float or None + """ + self.max_value = max_value + self.prev_avg = prev_avg + + def from_avg_stdev_metadata(self, metadata): + """Return new metadata object by adding bits to existing metadata. + + :param metadata: Metadata to count bits for. + :type metadata: AvgStdevMetadata + :returns: The metadata with bits counted. + :rtype: BitCountingMetadata + """ + return BitCountingMetadata( + max_value=self.max_value, size=metadata.size, + avg=metadata.avg, stdev=metadata.stdev, prev_avg=self.prev_avg) + + def from_data(self, 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: BitCountingMetadata + """ + metadata = AvgStdevMetadataFactory.from_data(values) + return self.from_avg_stdev_metadata(metadata) -- cgit 1.2.3-korg