blob: 46bddc6aed9c9276b01ec86598be8a7e8cbe6edf [file] [log] [blame]
# Copyright 2023 The ANGLE Project Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
#
# Utility for handling ANGLE perf metrics, separate file as it's
# called by both the test runner and the post-processing script.
import collections
import json
import logging
import statistics
def ConvertToSkiaPerf(angle_metrics_json_files):
grouped_results = collections.defaultdict(list)
for fn in angle_metrics_json_files:
with open(fn) as f:
metrics = json.load(f)
for group in metrics:
for d in group:
k = (('suite', d['name']), ('renderer', d['backend'].lstrip('_')),
('test', d['story']), ('metric', d['metric'].lstrip('.')), ('units',
d['units']))
grouped_results[k].append(float(d['value']))
results = []
for k, v in grouped_results.items():
results.append({
'key': dict(k),
'measurements': {
'stat': [{
'value': 'mean',
'measurement': statistics.mean(v),
}, {
'value': 'stdev',
'measurement': statistics.stdev(v) if len(v) > 1 else 0,
}],
},
})
logging.info('angle_metrics to skia perf: %d entries' % len(results))
return results