blob: 7627fd73dc3e4dad900015e8004eb4f6027c395b [file] [log] [blame]
// Copyright 2014 The Flutter Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
import 'dart:convert';
import 'dart:io';
import 'package:metrics_center/metrics_center.dart';
/// Authenticate and connect to gcloud storage.
///
/// It supports both token and credential authentications.
Future<FlutterDestination> connectFlutterDestination() async {
const String kTokenPath = 'TOKEN_PATH';
const String kGcpProject = 'GCP_PROJECT';
final Map<String, String> env = Platform.environment;
final bool isTesting = env['IS_TESTING'] == 'true';
if (env.containsKey(kTokenPath) && env.containsKey(kGcpProject)) {
return FlutterDestination.makeFromAccessToken(
File(env[kTokenPath]!).readAsStringSync(),
env[kGcpProject]!,
isTesting: isTesting,
);
}
return FlutterDestination.makeFromCredentialsJson(
jsonDecode(env['BENCHMARK_GCP_CREDENTIALS']!) as Map<String, dynamic>,
isTesting: isTesting,
);
}
/// Parse results into Metric Points.
///
/// An example of `resultsJson`:
/// {
/// "CommitBranch": "master",
/// "CommitSha": "abc",
/// "BuilderName": "test",
/// "ResultData": {
/// "average_frame_build_time_millis": 0.4550425531914895,
/// "90th_percentile_frame_build_time_millis": 0.473
/// },
/// "BenchmarkScoreKeys": [
/// "average_frame_build_time_millis",
/// "90th_percentile_frame_build_time_millis"
/// ]
/// }
List<MetricPoint> parse(Map<String, dynamic> resultsJson) {
print('Results to upload to skia perf: $resultsJson');
final List<String> scoreKeys =
(resultsJson['BenchmarkScoreKeys'] as List<dynamic>?)?.cast<String>() ?? const <String>[];
final Map<String, dynamic> resultData =
resultsJson['ResultData'] as Map<String, dynamic>? ?? const <String, dynamic>{};
final String gitBranch = (resultsJson['CommitBranch'] as String).trim();
final String gitSha = (resultsJson['CommitSha'] as String).trim();
final String builderName = (resultsJson['BuilderName'] as String).trim();
final List<MetricPoint> metricPoints = <MetricPoint>[];
for (final String scoreKey in scoreKeys) {
metricPoints.add(
MetricPoint(
(resultData[scoreKey] as num).toDouble(),
<String, String>{
kGithubRepoKey: kFlutterFrameworkRepo,
kGitRevisionKey: gitSha,
'branch': gitBranch,
kNameKey: builderName,
kSubResultKey: scoreKey,
},
),
);
}
return metricPoints;
}
/// Upload metrics to GCS bucket used by Skia Perf.
///
/// Skia Perf picks up all available files under the folder, and
/// is robust to duplicate entries.
///
/// Files will be named based on `taskName`, such as
/// `complex_layout_scroll_perf__timeline_summary_values.json`.
/// If no `taskName` is specified, data will be saved to
/// `default_values.json`.
Future<void> upload(
FlutterDestination metricsDestination,
List<MetricPoint> metricPoints,
int commitTimeSinceEpoch,
String? taskName,
) async {
await metricsDestination.update(
metricPoints,
DateTime.fromMillisecondsSinceEpoch(
commitTimeSinceEpoch,
isUtc: true,
),
taskName ?? 'default',
);
}
/// Upload JSON results to skia perf.
///
/// Flutter infrastructure's workflow is:
/// 1. Run DeviceLab test, writing results to a known path
/// 2. Request service account token from luci auth (valid for at least 3 minutes)
/// 3. Upload results from (1) to skia perf.
Future<void> uploadToSkiaPerf(String? resultsPath, String? commitTime, String? taskName) async {
int commitTimeSinceEpoch;
if (resultsPath == null) {
return;
}
if (commitTime != null) {
commitTimeSinceEpoch = 1000 * int.parse(commitTime);
} else {
commitTimeSinceEpoch = DateTime.now().millisecondsSinceEpoch;
}
final File resultFile = File(resultsPath);
Map<String, dynamic> resultsJson = <String, dynamic>{};
resultsJson = json.decode(await resultFile.readAsString()) as Map<String, dynamic>;
final List<MetricPoint> metricPoints = parse(resultsJson);
final FlutterDestination metricsDestination = await connectFlutterDestination();
await upload(metricsDestination, metricPoints, commitTimeSinceEpoch, taskName);
}