gen_bench_expectations.py revision 093ed317cb99f4e2c3283b81cb0da16cc36b980c
1#!/usr/bin/env python 2# Copyright (c) 2014 The Chromium Authors. All rights reserved. 3# Use of this source code is governed by a BSD-style license that can be 4# found in the LICENSE file. 5 6""" Generate bench_expectations file from a given set of bench data files. """ 7 8import argparse 9import bench_util 10import os 11import re 12import sys 13 14# Parameters for calculating bench ranges. 15RANGE_RATIO = 1.0 # Ratio of range for upper and lower bounds. 16ERR_RATIO = 0.05 # Further widens the range by the ratio of average value. 17 18# List of bench configs to monitor. Ignore all other configs. 19CONFIGS_TO_INCLUDE = ['simple_viewport_1000x1000', 20 'simple_viewport_1000x1000_gpu', 21 'simple_viewport_1000x1000_scalar_1.100000', 22 'simple_viewport_1000x1000_scalar_1.100000_gpu', 23 ] 24 25 26def compute_ranges(benches): 27 """Given a list of bench numbers, calculate the alert range. 28 29 Args: 30 benches: a list of float bench values. 31 32 Returns: 33 a list of float [lower_bound, upper_bound]. 34 """ 35 minimum = min(benches) 36 maximum = max(benches) 37 diff = maximum - minimum 38 avg = sum(benches) / len(benches) 39 40 return [minimum - diff * RANGE_RATIO - avg * ERR_RATIO, 41 maximum + diff * RANGE_RATIO + avg * ERR_RATIO] 42 43 44def create_expectations_dict(revision_data_points): 45 """Convert list of bench data points into a dictionary of expectations data. 46 47 Args: 48 revision_data_points: a list of BenchDataPoint objects. 49 50 Returns: 51 a dictionary of this form: 52 keys = tuple of (config, bench) strings. 53 values = list of float [expected, lower_bound, upper_bound] for the key. 54 """ 55 bench_dict = {} 56 for point in revision_data_points: 57 if (point.time_type or # Not walltime which has time_type '' 58 not point.config in CONFIGS_TO_INCLUDE): 59 continue 60 key = (point.config, point.bench) 61 if key in bench_dict: 62 raise Exception('Duplicate bench entry: ' + str(key)) 63 bench_dict[key] = [point.time] + compute_ranges(point.per_iter_time) 64 65 return bench_dict 66 67 68def main(): 69 """Reads bench data points, then calculate and export expectations. 70 """ 71 parser = argparse.ArgumentParser() 72 parser.add_argument( 73 '-a', '--representation_alg', default='25th', 74 help='bench representation algorithm to use, see bench_util.py.') 75 parser.add_argument( 76 '-b', '--builder', required=True, 77 help='name of the builder whose bench ranges we are computing.') 78 parser.add_argument( 79 '-d', '--input_dir', required=True, 80 help='a directory containing bench data files.') 81 parser.add_argument( 82 '-o', '--output_file', required=True, 83 help='file path and name for storing the output bench expectations.') 84 parser.add_argument( 85 '-r', '--git_revision', required=True, 86 help='the git hash to indicate the revision of input data to use.') 87 args = parser.parse_args() 88 89 builder = args.builder 90 91 data_points = bench_util.parse_skp_bench_data( 92 args.input_dir, args.git_revision, args.representation_alg) 93 94 expectations_dict = create_expectations_dict(data_points) 95 96 out_lines = [] 97 keys = expectations_dict.keys() 98 keys.sort() 99 for (config, bench) in keys: 100 (expected, lower_bound, upper_bound) = expectations_dict[(config, bench)] 101 out_lines.append('%(bench)s_%(config)s_,%(builder)s-%(representation)s,' 102 '%(expected)s,%(lower_bound)s,%(upper_bound)s' % { 103 'bench': bench, 104 'config': config, 105 'builder': builder, 106 'representation': args.representation_alg, 107 'expected': expected, 108 'lower_bound': lower_bound, 109 'upper_bound': upper_bound}) 110 111 with open(args.output_file, 'w') as file_handle: 112 file_handle.write('\n'.join(out_lines)) 113 114 115if __name__ == "__main__": 116 main() 117