CSIT-1135: Scripts for VPP per-patch testing

[csit.git] / resources / tools / scripts / compare_perpatch.py

diff --git a/resources/tools/scripts/compare_perpatch.py b/resources/tools/scripts/compare_perpatch.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.
+
+"""Script for determining whether per-patch perf test votes -1.
+
+This script assumes there exist two text files with processed BMRR results,
+located at hardcoded relative paths, having several lines
+of json-parseable lists of float values, corresponding to testcase results.
+This script then uses jumpavg library to determine whether there was
+a regression, progression or no change for each testcase.
+If number of tests does not match, or there was a regression,
+this script votes -1 (by exiting with code 1), otherwise it votes +1 (exit 0).
+"""
+
+import json
+import sys
+
+from jumpavg.BitCountingMetadataFactory import BitCountingMetadataFactory
+from jumpavg.BitCountingClassifier import BitCountingClassifier
+
+
+def hack(value_list):
+    """Return middle two quartiles, hoping to reduce influence of outliers.
+
+    :param value_list: List to pick subset from.
+    :type value_list: list of float
+    :returns: New list containing middle values.
+    :rtype: list of float
+    """
+    tmp = sorted(value_list)
+    quarter = len(tmp) / 4
+    ret = tmp[quarter:-quarter]
+    return ret
+
+parent_lines = list()
+new_lines = list()
+with open("csit_parent/results.txt") as parent_file:
+    parent_lines = parent_file.readlines()
+with open("csit_new/results.txt") as new_file:
+    new_lines = new_file.readlines()
+if len(parent_lines) != len(new_lines):
+    print "Number of passed tests does not match!"
+    sys.exit(1)
+classifier = BitCountingClassifier()
+num_tests = len(parent_lines)
+exit_code = 0
+for index in range(num_tests):
+    parent_values = hack(json.loads(parent_lines[index]))
+    new_values = hack(json.loads(new_lines[index]))
+    parent_max = BitCountingMetadataFactory.find_max_value(parent_values)
+    new_max = BitCountingMetadataFactory.find_max_value(new_values)
+    cmax = max(parent_max, new_max)
+    factory = BitCountingMetadataFactory(cmax)
+    parent_stats = factory.from_data(parent_values)
+    factory = BitCountingMetadataFactory(cmax, parent_stats.avg)
+    new_stats = factory.from_data(new_values)
+    print "DEBUG parent: {p}".format(p=parent_stats)
+    print "DEBUG new: {n}".format(n=new_stats)
+    common_max = max(parent_stats.avg, new_stats.avg)
+    difference = (new_stats.avg - parent_stats.avg) / common_max
+    print "DEBUG difference: {d}%".format(d=100 * difference)
+    classified_list = classifier.classify([parent_stats, new_stats])
+    if len(classified_list) < 2:
+        print "Test index {index}: normal (no anomaly)".format(
+            index=index)
+        continue
+    anomaly = classified_list[1].metadata.classification
+    if anomaly == "regression":
+        print "Test index {index}: anomaly regression".format(index=index)
+        exit_code = 1
+        continue
+    print "Test index {index}: anomaly {anomaly}".format(
+        index=index, anomaly=anomaly)
+print "DEBUG exit code {code}".format(code=exit_code)
+sys.exit(exit_code)