| #!/usr/bin/env python |
| # Copyright (c) 2014 The Chromium Authors. All rights reserved. |
| # Use of this source code is governed by a BSD-style license that can be |
| # found in the LICENSE file. |
| |
| """ Generate bench_expectations file from a given set of bench data files. """ |
| |
| import argparse |
| import bench_util |
| import os |
| import re |
| import sys |
| |
| # Parameters for calculating bench ranges. |
| RANGE_RATIO = 1.0 # Ratio of range for upper and lower bounds. |
| ABS_ERR = 1.0 # Additional allowed error in milliseconds. |
| |
| # List of bench configs to monitor. Ignore all other configs. |
| CONFIGS_TO_INCLUDE = ['simple_viewport_1000x1000', |
| 'simple_viewport_1000x1000_gpu', |
| 'simple_viewport_1000x1000_scalar_1.100000', |
| 'simple_viewport_1000x1000_scalar_1.100000_gpu', |
| ] |
| |
| |
| def compute_ranges(benches): |
| """Given a list of bench numbers, calculate the alert range. |
| |
| Args: |
| benches: a list of float bench values. |
| |
| Returns: |
| a list of float [lower_bound, upper_bound]. |
| """ |
| minimum = min(benches) |
| maximum = max(benches) |
| diff = maximum - minimum |
| |
| return [minimum - diff * RANGE_RATIO - ABS_ERR, |
| maximum + diff * RANGE_RATIO + ABS_ERR] |
| |
| |
| def create_expectations_dict(revision_data_points): |
| """Convert list of bench data points into a dictionary of expectations data. |
| |
| Args: |
| revision_data_points: a list of BenchDataPoint objects. |
| |
| Returns: |
| a dictionary of this form: |
| keys = tuple of (config, bench) strings. |
| values = list of float [expected, lower_bound, upper_bound] for the key. |
| """ |
| bench_dict = {} |
| for point in revision_data_points: |
| if (point.time_type or # Not walltime which has time_type '' |
| not point.config in CONFIGS_TO_INCLUDE): |
| continue |
| key = (point.config, point.bench) |
| if key in bench_dict: |
| raise Exception('Duplicate bench entry: ' + str(key)) |
| bench_dict[key] = [point.time] + compute_ranges(point.per_iter_time) |
| |
| return bench_dict |
| |
| |
| def main(): |
| """Reads bench data points, then calculate and export expectations. |
| """ |
| parser = argparse.ArgumentParser() |
| parser.add_argument( |
| '-a', '--representation_alg', default='25th', |
| help='bench representation algorithm to use, see bench_util.py.') |
| parser.add_argument( |
| '-b', '--builder', required=True, |
| help='name of the builder whose bench ranges we are computing.') |
| parser.add_argument( |
| '-d', '--input_dir', required=True, |
| help='a directory containing bench data files.') |
| parser.add_argument( |
| '-o', '--output_file', required=True, |
| help='file path and name for storing the output bench expectations.') |
| parser.add_argument( |
| '-r', '--git_revision', required=True, |
| help='the git hash to indicate the revision of input data to use.') |
| args = parser.parse_args() |
| |
| builder = args.builder |
| |
| data_points = bench_util.parse_skp_bench_data( |
| args.input_dir, args.git_revision, args.representation_alg) |
| |
| expectations_dict = create_expectations_dict(data_points) |
| |
| out_lines = [] |
| keys = expectations_dict.keys() |
| keys.sort() |
| for (config, bench) in keys: |
| (expected, lower_bound, upper_bound) = expectations_dict[(config, bench)] |
| out_lines.append('%(bench)s_%(config)s_,%(builder)s-%(representation)s,' |
| '%(expected)s,%(lower_bound)s,%(upper_bound)s' % { |
| 'bench': bench, |
| 'config': config, |
| 'builder': builder, |
| 'representation': args.representation_alg, |
| 'expected': expected, |
| 'lower_bound': lower_bound, |
| 'upper_bound': upper_bound}) |
| |
| with open(args.output_file, 'w') as file_handle: |
| file_handle.write('\n'.join(out_lines)) |
| |
| |
| if __name__ == "__main__": |
| main() |