CSIT-1110: Integrate anomaly detection into PAL

[csit.git] / resources / tools / presentation / new / jumpavg / AbstractGroupClassifier.py

diff --git a/resources/tools/presentation/new/jumpavg/AbstractGroupClassifier.py b/resources/tools/presentation/new/jumpavg/AbstractGroupClassifier.py
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+# 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.
+
+from abc import ABCMeta, abstractmethod
+
+
+class AbstractGroupClassifier(object):
+
+    __metaclass__ = ABCMeta
+
+    @abstractmethod
+    def classify(self, values):
+        """Divide values into consecutive groups with metadata.
+
+        The metadata does not need to follow any specific rules,
+        although progression/regression/outlier description would be fine.
+
+        :param values: Sequence of runs to classify.
+        :type values: Iterable of float or of AvgStdevMetadata
+        :returns: Classified groups
+        :rtype: Iterable of RunGroup
+        """
+        pass