blob: 1b2ddd74c33620a905fe85c04046f524440fcb86 [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:ui';
import 'package:flutter/scheduler.dart';
import 'package:flutter_test/flutter_test.dart';
import 'package:flutter/widgets.dart';
import 'package:e2e/e2e.dart';
/// The maximum amount of time considered safe to spend for a frame's build
/// phase. Anything past that is in the danger of missing the frame as 60FPS.
///
/// Changing this doesn't re-evaluate existing summary.
Duration kBuildBudget = const Duration(milliseconds: 16);
// TODO(CareF): Automatically calculate the refresh budget (#61958)
bool _firstRun = true;
/// The warning message to show when a benchmark is performed with assert on.
/// TODO(CareF) remove this and update pubspect when flutter/flutter#61509 is
/// in released version.
const String kDebugWarning = '''
┏╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍┓
┇ ⚠ THIS BENCHMARK IS BEING RUN IN DEBUG MODE ⚠ ┇
┡╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍╍┦
│ │
│ Numbers obtained from a benchmark while asserts are │
│ enabled will not accurately reflect the performance │
│ that will be experienced by end users using release ╎
│ builds. Benchmarks should be run using this command ╎
│ line: "flutter run --profile test.dart" or ┊
│ or "flutter drive --profile -t test.dart". ┊
│ ┊
└─────────────────────────────────────────────────╌┄┈ 🐢
''';
/// watches the [FrameTiming] of `action` and report it to the e2e binding.
Future<void> watchPerformance(
E2EWidgetsFlutterBinding binding,
Future<void> action(), {
String reportKey = 'performance',
}) async {
assert(() {
if (_firstRun) {
debugPrint(kDebugWarning);
_firstRun = false;
}
return true;
}());
final List<FrameTiming> frameTimings = <FrameTiming>[];
final TimingsCallback watcher = frameTimings.addAll;
binding.addTimingsCallback(watcher);
await action();
binding.removeTimingsCallback(watcher);
final FrameTimingSummarizer frameTimes = FrameTimingSummarizer(frameTimings);
binding.reportData = <String, dynamic>{reportKey: frameTimes.summary};
}
/// This class and summarizes a list of [FrameTiming] for the performance
/// metrics.
class FrameTimingSummarizer {
/// Summarize `data` to frame build time and frame rasterizer time statistics.
///
/// See [TimelineSummary.summaryJson] for detail.
factory FrameTimingSummarizer(List<FrameTiming> data) {
assert(data != null);
assert(data.isNotEmpty);
final List<Duration> frameBuildTime = List<Duration>.unmodifiable(
data.map<Duration>((FrameTiming datum) => datum.buildDuration),
);
final List<Duration> frameBuildTimeSorted =
List<Duration>.from(frameBuildTime)..sort();
final List<Duration> frameRasterizerTime = List<Duration>.unmodifiable(
data.map<Duration>((FrameTiming datum) => datum.rasterDuration),
);
final List<Duration> frameRasterizerTimeSorted =
List<Duration>.from(frameRasterizerTime)..sort();
final Duration Function(Duration, Duration) add =
(Duration a, Duration b) => a + b;
return FrameTimingSummarizer._(
frameBuildTime: frameBuildTime,
frameRasterizerTime: frameRasterizerTime,
// This avarage calculation is microsecond precision, which is fine
// because typical values of these times are milliseconds.
averageFrameBuildTime: frameBuildTime.reduce(add) ~/ data.length,
p90FrameBuildTime: _findPercentile(frameBuildTimeSorted, 0.90),
p99FrameBuildTime: _findPercentile(frameBuildTimeSorted, 0.99),
worstFrameBuildTime: frameBuildTimeSorted.last,
missedFrameBuildBudget: _countExceed(frameBuildTimeSorted, kBuildBudget),
averageFrameRasterizerTime:
frameRasterizerTime.reduce(add) ~/ data.length,
p90FrameRasterizerTime: _findPercentile(frameRasterizerTimeSorted, 0.90),
p99FrameRasterizerTime: _findPercentile(frameRasterizerTimeSorted, 0.99),
worstFrameRasterizerTime: frameRasterizerTimeSorted.last,
missedFrameRasterizerBudget:
_countExceed(frameRasterizerTimeSorted, kBuildBudget),
);
}
const FrameTimingSummarizer._({
@required this.frameBuildTime,
@required this.frameRasterizerTime,
@required this.averageFrameBuildTime,
@required this.p90FrameBuildTime,
@required this.p99FrameBuildTime,
@required this.worstFrameBuildTime,
@required this.missedFrameBuildBudget,
@required this.averageFrameRasterizerTime,
@required this.p90FrameRasterizerTime,
@required this.p99FrameRasterizerTime,
@required this.worstFrameRasterizerTime,
@required this.missedFrameRasterizerBudget,
});
/// List of frame build time in microseconds
final List<Duration> frameBuildTime;
/// List of frame rasterizer time in microseconds
final List<Duration> frameRasterizerTime;
/// The average value of [frameBuildTime] in milliseconds.
final Duration averageFrameBuildTime;
/// The 90-th percentile value of [frameBuildTime] in milliseconds
final Duration p90FrameBuildTime;
/// The 99-th percentile value of [frameBuildTime] in milliseconds
final Duration p99FrameBuildTime;
/// The largest value of [frameBuildTime] in milliseconds
final Duration worstFrameBuildTime;
/// Number of items in [frameBuildTime] that's greater than [kBuildBudget]
final int missedFrameBuildBudget;
/// The average value of [frameRasterizerTime] in milliseconds.
final Duration averageFrameRasterizerTime;
/// The 90-th percentile value of [frameRasterizerTime] in milliseconds.
final Duration p90FrameRasterizerTime;
/// The 99-th percentile value of [frameRasterizerTime] in milliseconds.
final Duration p99FrameRasterizerTime;
/// The largest value of [frameRasterizerTime] in milliseconds.
final Duration worstFrameRasterizerTime;
/// Number of items in [frameRasterizerTime] that's greater than [kBuildBudget]
final int missedFrameRasterizerBudget;
/// Convert the summary result to a json object.
///
/// See [TimelineSummary.summaryJson] for detail.
Map<String, dynamic> get summary => <String, dynamic>{
'average_frame_build_time_millis':
averageFrameBuildTime.inMicroseconds / 1E3,
'90th_percentile_frame_build_time_millis':
p90FrameBuildTime.inMicroseconds / 1E3,
'99th_percentile_frame_build_time_millis':
p99FrameBuildTime.inMicroseconds / 1E3,
'worst_frame_build_time_millis':
worstFrameBuildTime.inMicroseconds / 1E3,
'missed_frame_build_budget_count': missedFrameBuildBudget,
'average_frame_rasterizer_time_millis':
averageFrameRasterizerTime.inMicroseconds / 1E3,
'90th_percentile_frame_rasterizer_time_millis':
p90FrameRasterizerTime.inMicroseconds / 1E3,
'99th_percentile_frame_rasterizer_time_millis':
p99FrameRasterizerTime.inMicroseconds / 1E3,
'worst_frame_rasterizer_time_millis':
worstFrameRasterizerTime.inMicroseconds / 1E3,
'missed_frame_rasterizer_budget_count': missedFrameRasterizerBudget,
'frame_count': frameBuildTime.length,
'frame_build_times': frameBuildTime
.map<int>((Duration datum) => datum.inMicroseconds)
.toList(),
'frame_rasterizer_times': frameRasterizerTime
.map<int>((Duration datum) => datum.inMicroseconds)
.toList(),
};
}
// The following helper functions require data sorted
// return the 100*p-th percentile of the data
T _findPercentile<T>(List<T> data, double p) {
assert(p >= 0 && p <= 1);
return data[((data.length - 1) * p).round()];
}
// return the number of items in data that > threshold
int _countExceed<T extends Comparable<T>>(List<T> data, T threshold) {
return data.length -
data.indexWhere((T datum) => datum.compareTo(threshold) > 0);
}