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>

1 files changed, 80 insertions, 0 deletions

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)