--- /dev/null
+# Copyright (c) 2019 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 (subdirs thereof), 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 resources.libraries.python import jumpavg
+
+
+def hack(value_list):
+ """Return middle two quartiles, hoping to reduce influence of outliers.
+
+ Currently "middle two" is "all", but that can change in future.
+
+ :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)
+ eight = len(tmp) / 8
+ ret = tmp[3*eight:-eight]
+ return tmp # ret
+
+
+iteration = -1
+parent_iterations = list()
+current_iterations = list()
+num_tests = None
+while 1:
+ iteration += 1
+ parent_lines = list()
+ current_lines = list()
+ filename = f"csit_parent/{iteration}/results.txt"
+ try:
+ with open(filename) as parent_file:
+ parent_lines = parent_file.readlines()
+ except IOError:
+ break
+ num_lines = len(parent_lines)
+ filename = f"csit_current/{iteration}/results.txt"
+ with open(filename) as current_file:
+ current_lines = current_file.readlines()
+ if num_lines != len(current_lines):
+ print(f"Number of tests does not match within iteration {iteration}")
+ sys.exit(1)
+ if num_tests is None:
+ num_tests = num_lines
+ elif num_tests != num_lines:
+ print(
+ f"Number of tests does not match previous at iteration {iteration}"
+ )
+ sys.exit(1)
+ parent_iterations.append(parent_lines)
+ current_iterations.append(current_lines)
+exit_code = 0
+for test_index in range(num_tests):
+ parent_values = list()
+ current_values = list()
+ for iteration_index in range(len(parent_iterations)):
+ parent_values.extend(
+ json.loads(parent_iterations[iteration_index][test_index])
+ )
+ current_values.extend(
+ json.loads(current_iterations[iteration_index][test_index])
+ )
+ print(f"Time-ordered MRR values for parent build: {parent_values}")
+ print(f"Time-ordered MRR values for current build: {current_values}")
+ parent_values = hack(parent_values)
+ current_values = hack(current_values)
+ max_value = max([1.0] + parent_values + current_values)
+ parent_stats = jumpavg.AvgStdevStats.for_runs(parent_values)
+ current_stats = jumpavg.AvgStdevStats.for_runs(current_values)
+ parent_group_list = jumpavg.BitCountingGroupList(
+ max_value=max_value).append_group_of_runs([parent_stats])
+ combined_group_list = parent_group_list.copy().extend_runs_to_last_group(
+ [current_stats])
+ separated_group_list = parent_group_list.append_group_of_runs(
+ [current_stats])
+ print(f"Value-ordered MRR values for parent build: {parent_values}")
+ print(f"Value-ordered MRR values for current build: {current_values}")
+ avg_diff = (current_stats.avg - parent_stats.avg) / parent_stats.avg
+ print(f"Difference of averages relative to parent: {100 * avg_diff}%")
+ print(f"Jumpavg representation of parent group: {parent_stats}")
+ print(f"Jumpavg representation of current group: {current_stats}")
+ print(
+ f"Jumpavg representation of both as one group:"
+ f" {combined_group_list[0].stats}"
+ )
+ bits_diff = separated_group_list.bits - combined_group_list.bits
+ compared = u"longer" if bits_diff >= 0 else u"shorter"
+ print(
+ f"Separate groups are {compared} than single group"
+ f" by {abs(bits_diff)} bits"
+ )
+ # TODO: Version of classify that takes max_value and list of stats?
+ # That matters if only stats (not list of floats) are given.
+ classified_list = jumpavg.classify([parent_values, current_values])
+ if len(classified_list) < 2:
+ print(f"Test test_index {test_index}: normal (no anomaly)")
+ continue
+ anomaly = classified_list[1].comment
+ if anomaly == u"regression":
+ print(f"Test test_index {test_index}: anomaly regression")
+ exit_code = 3 # 1 or 2 can be caused by other errors
+ continue
+ print(f"Test test_index {test_index}: anomaly {anomaly}")
+print(f"Exit code: {exit_code}")
+sys.exit(exit_code)
Code Review / csit.git / blobdiff