blob: 0994351e20cafab7c63d1e4b5f252af6f4cbffb7 [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:async';
import 'dart:convert' show json;
import 'dart:io' as io;
import 'package:logging/logging.dart';
import 'package:meta/meta.dart';
import 'package:path/path.dart' as path;
import 'package:shelf/shelf.dart';
import 'package:shelf/shelf_io.dart' as shelf_io;
import 'package:shelf_static/shelf_static.dart';
import 'package:flutter_devicelab/framework/browser.dart';
import 'package:flutter_devicelab/framework/framework.dart';
import 'package:flutter_devicelab/framework/utils.dart';
/// The port number used by the local benchmark server.
const int benchmarkServerPort = 9999;
const int chromeDebugPort = 10000;
Future<TaskResult> runWebBenchmark({ @required bool useCanvasKit }) async {
// Reduce logging level. Otherwise, package:webkit_inspection_protocol is way too spammy.
Logger.root.level = Level.INFO;
final String macrobenchmarksDirectory = path.join(flutterDirectory.path, 'dev', 'benchmarks', 'macrobenchmarks');
return await inDirectory(macrobenchmarksDirectory, () async {
await evalFlutter('build', options: <String>[
'web',
'--dart-define=FLUTTER_WEB_ENABLE_PROFILING=true',
if (useCanvasKit)
'--dart-define=FLUTTER_WEB_USE_SKIA=true',
'--profile',
'-t',
'lib/web_benchmarks.dart',
]);
final Completer<List<Map<String, dynamic>>> profileData = Completer<List<Map<String, dynamic>>>();
final List<Map<String, dynamic>> collectedProfiles = <Map<String, dynamic>>[];
List<String> benchmarks;
Iterator<String> benchmarkIterator;
// This future fixes a race condition between the web-page loading and
// asking to run a benchmark, and us connecting to Chrome's DevTools port.
// Sometime one wins. Other times, the other wins.
Future<Chrome> whenChromeIsReady;
Chrome chrome;
io.HttpServer server;
Cascade cascade = Cascade();
List<Map<String, dynamic>> latestPerformanceTrace;
cascade = cascade.add((Request request) async {
try {
chrome ??= await whenChromeIsReady;
if (request.requestedUri.path.endsWith('/profile-data')) {
final Map<String, dynamic> profile = json.decode(await request.readAsString()) as Map<String, dynamic>;
final String benchmarkName = profile['name'] as String;
if (benchmarkName != benchmarkIterator.current) {
profileData.completeError(Exception(
'Browser returned benchmark results from a wrong benchmark.\n'
'Requested to run bechmark ${benchmarkIterator.current}, but '
'got results for $benchmarkName.',
));
server.close();
}
// Trace data is null when the benchmark is not frame-based, such as RawRecorder.
if (latestPerformanceTrace != null) {
final BlinkTraceSummary traceSummary = BlinkTraceSummary.fromJson(latestPerformanceTrace);
profile['totalUiFrame.average'] = traceSummary.averageTotalUIFrameTime.inMicroseconds;
profile['scoreKeys'] ??= <dynamic>[]; // using dynamic for consistency with JSON
profile['scoreKeys'].add('totalUiFrame.average');
latestPerformanceTrace = null;
}
collectedProfiles.add(profile);
return Response.ok('Profile received');
} else if (request.requestedUri.path.endsWith('/start-performance-tracing')) {
latestPerformanceTrace = null;
await chrome.beginRecordingPerformance(request.requestedUri.queryParameters['label']);
return Response.ok('Started performance tracing');
} else if (request.requestedUri.path.endsWith('/stop-performance-tracing')) {
latestPerformanceTrace = await chrome.endRecordingPerformance();
return Response.ok('Stopped performance tracing');
} else if (request.requestedUri.path.endsWith('/on-error')) {
final Map<String, dynamic> errorDetails = json.decode(await request.readAsString()) as Map<String, dynamic>;
server.close();
// Keep the stack trace as a string. It's thrown in the browser, not this Dart VM.
profileData.completeError('${errorDetails['error']}\n${errorDetails['stackTrace']}');
return Response.ok('');
} else if (request.requestedUri.path.endsWith('/next-benchmark')) {
if (benchmarks == null) {
benchmarks = (json.decode(await request.readAsString()) as List<dynamic>).cast<String>();
benchmarkIterator = benchmarks.iterator;
}
if (benchmarkIterator.moveNext()) {
final String nextBenchmark = benchmarkIterator.current;
print('Launching benchmark "$nextBenchmark"');
return Response.ok(nextBenchmark);
} else {
profileData.complete(collectedProfiles);
return Response.notFound('Finished running benchmarks.');
}
} else if (request.requestedUri.path.endsWith('/print-to-console')) {
// A passthrough used by
// `dev/benchmarks/macrobenchmarks/lib/web_benchmarks.dart`
// to print information.
final String message = await request.readAsString();
print('[Gallery] $message');
return Response.ok('Reported.');
} else {
return Response.notFound(
'This request is not handled by the profile-data handler.');
}
} catch (error, stackTrace) {
profileData.completeError(error, stackTrace);
return Response.internalServerError(body: '$error');
}
}).add(createStaticHandler(
path.join(macrobenchmarksDirectory, 'build', 'web'),
));
server = await io.HttpServer.bind('localhost', benchmarkServerPort);
try {
shelf_io.serveRequests(server, cascade.handler);
final String dartToolDirectory = path.join('$macrobenchmarksDirectory/.dart_tool');
final String userDataDir = io.Directory(dartToolDirectory).createTempSync('chrome_user_data_').path;
// TODO(yjbanov): temporarily disables headful Chrome until we get
// devicelab hardware that is able to run it. Our current
// GCE VMs can only run in headless mode.
// See: https://github.com/flutter/flutter/issues/50164
final bool isUncalibratedSmokeTest = io.Platform.environment['CALIBRATED'] != 'true';
// final bool isUncalibratedSmokeTest =
// io.Platform.environment['UNCALIBRATED_SMOKE_TEST'] == 'true';
final ChromeOptions options = ChromeOptions(
url: 'http://localhost:$benchmarkServerPort/index.html',
userDataDirectory: userDataDir,
windowHeight: 1024,
windowWidth: 1024,
headless: isUncalibratedSmokeTest,
debugPort: chromeDebugPort,
);
print('Launching Chrome.');
whenChromeIsReady = Chrome.launch(
options,
onError: (String error) {
profileData.completeError(Exception(error));
},
workingDirectory: cwd,
);
print('Waiting for the benchmark to report benchmark profile.');
final String backend = useCanvasKit ? 'canvaskit' : 'html';
final Map<String, dynamic> taskResult = <String, dynamic>{};
final List<String> benchmarkScoreKeys = <String>[];
final List<Map<String, dynamic>> profiles = await profileData.future;
print('Received profile data');
for (final Map<String, dynamic> profile in profiles) {
final String benchmarkName = profile['name'] as String;
if (benchmarkName.isEmpty) {
throw 'Benchmark name is empty';
}
final String namespace = '$benchmarkName.$backend';
final List<String> scoreKeys = List<String>.from(profile['scoreKeys'] as List<dynamic>);
if (scoreKeys == null || scoreKeys.isEmpty) {
throw 'No score keys in benchmark "$benchmarkName"';
}
for (final String scoreKey in scoreKeys) {
if (scoreKey == null || scoreKey.isEmpty) {
throw 'Score key is empty in benchmark "$benchmarkName". '
'Received [${scoreKeys.join(', ')}]';
}
benchmarkScoreKeys.add('$namespace.$scoreKey');
}
for (final String key in profile.keys) {
if (key == 'name' || key == 'scoreKeys') {
continue;
}
taskResult['$namespace.$key'] = profile[key];
}
}
return TaskResult.success(taskResult, benchmarkScoreKeys: benchmarkScoreKeys);
} finally {
server?.close();
chrome?.stop();
}
});
}