diff options
Diffstat (limited to 'resources/tools/integrated/compare_perpatch.py')
| -rw-r--r-- | resources/tools/integrated/compare_perpatch.py | 129 |
1 files changed, 66 insertions, 63 deletions
diff --git a/resources/tools/integrated/compare_perpatch.py b/resources/tools/integrated/compare_perpatch.py index 62e55629f6..59ea7e5d0f 100644 --- a/resources/tools/integrated/compare_perpatch.py +++ b/resources/tools/integrated/compare_perpatch.py @@ -1,4 +1,4 @@ -# Copyright (c) 2019 Cisco and/or its affiliates. +# Copyright (c) 2024 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: @@ -13,72 +13,72 @@ """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 expects a particular tree created on a filesystem by +per_patch_perf.sh bootstrap script, including test results +exported as json files according to a current model schema. +This script extracts the results (according to result type) +and joins them into one list of floats for parent and one for current. + 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, + +If the set of test names 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 +from resources.libraries.python.model.parse import parse + + +def main() -> int: + """Execute the main logic, return a number to return as the return code. + Call parse to get parent and current data. + Use higher fake value for parent, so changes that keep a test failing + are marked as regressions. -def main(): - """Execute the main logic, return the code to return as return code. + If there are multiple iterations, the value lists are joined. + For each test, call jumpavg.classify to detect possible regression. + + If there is at least one regression, return 3. :returns: Return code, 0 or 3 based on the comparison result. :rtype: int """ iteration = -1 - parent_iterations = list() - current_iterations = list() - num_tests = None + parent_aggregate = {} + current_aggregate = {} + test_names = 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: + parent_results = {} + current_results = {} + parent_results = parse(f"csit_parent/{iteration}", fake_value=2.0) + parent_names = list(parent_results) + if test_names is None: + test_names = parent_names + if not parent_names: + # No more iterations. 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}", - file=sys.stderr - ) - return 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 " - f"{iteration}", file=sys.stderr - ) - return 1 - parent_iterations.append(parent_lines) - current_iterations.append(current_lines) + assert parent_names == test_names, f"{parent_names} != {test_names}" + current_results = parse(f"csit_current/{iteration}", fake_value=1.0) + current_names = list(current_results) + assert ( + current_names == parent_names + ), f"{current_names} != {parent_names}" + for name in test_names: + if name not in parent_aggregate: + parent_aggregate[name] = [] + if name not in current_aggregate: + current_aggregate[name] = [] + parent_aggregate[name].extend(parent_results[name]) + current_aggregate[name].extend(current_results[name]) 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]) - ) + for name in test_names: + parent_values = parent_aggregate[name] + current_values = current_aggregate[name] print(f"Time-ordered MRR values for parent build: {parent_values}") print(f"Time-ordered MRR values for current build: {current_values}") parent_values = sorted(parent_values) @@ -87,11 +87,14 @@ def main(): 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]) + 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]) + [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 @@ -103,7 +106,7 @@ def main(): 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" + compared = "longer" if bits_diff >= 0 else "shorter" print( f"Separate groups are {compared} than single group" f" by {abs(bits_diff)} bits" @@ -111,17 +114,17 @@ def main(): # 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}") + anomaly_name = "normal (no anomaly)" + if len(classified_list) > 1: + anomaly = classified_list[1].comment + anomaly_name = "anomaly progression" + if anomaly == "regression": + anomaly_name = "anomaly regression" + exit_code = 3 # 1 or 2 can be caused by other errors + print(f"Test name {name}: {anomaly_name}") print(f"Exit code: {exit_code}") return exit_code -if __name__ == u"__main__": + +if __name__ == "__main__": sys.exit(main()) |