新增 Baseline Profile 增加冷启动性能

This commit is contained in:
HapeLee
2026-05-13 18:14:40 +08:00
parent c1f7faf050
commit accd3afbbb
6 changed files with 218 additions and 0 deletions
+3
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@@ -9,6 +9,7 @@ plugins {
alias(libs.plugins.room)
alias(libs.plugins.ksp)
alias(libs.plugins.google.services)
alias(libs.plugins.baselineprofile)
}
apply(from = "download.gradle")
@@ -168,6 +169,8 @@ ksp {
}
dependencies {
implementation(libs.androidx.profileinstaller)
"baselineProfile"(project(":baselineprofile"))
coreLibraryDesugaring(libs.desugar)
testImplementation(libs.junit)
androidTestImplementation(libs.bundles.androidTest)
+1
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@@ -0,0 +1 @@
/build
+69
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@@ -0,0 +1,69 @@
import com.android.build.api.dsl.ManagedVirtualDevice
plugins {
alias(libs.plugins.android.test)
alias(libs.plugins.baselineprofile)
}
android {
namespace = "io.legado.baselineprofile"
compileSdk {
version = release(36) {
minorApiLevel = 1
}
}
compileOptions {
sourceCompatibility = JavaVersion.VERSION_11
targetCompatibility = JavaVersion.VERSION_11
}
defaultConfig {
minSdk = 28
targetSdk = 36
testInstrumentationRunner = "androidx.test.runner.AndroidJUnitRunner"
}
targetProjectPath = ":app"
flavorDimensions += listOf("mode")
productFlavors {
create("app") { dimension = "mode" }
}
// This code creates the gradle managed device used to generate baseline profiles.
// To use GMD please invoke generation through the command line:
// ./gradlew :app:generateBaselineProfile
testOptions.managedDevices.allDevices {
create<ManagedVirtualDevice>("pixel6Api34") {
device = "Pixel 6"
apiLevel = 34
systemImageSource = "google"
}
}
}
// This is the configuration block for the Baseline Profile plugin.
// You can specify to run the generators on a managed devices or connected devices.
baselineProfile {
managedDevices += "pixel6Api34"
useConnectedDevices = false
}
dependencies {
implementation(libs.androidx.benchmark.macro.junit4)
implementation(libs.androidx.espresso.core)
implementation(libs.androidx.junit)
implementation(libs.androidx.uiautomator)
}
androidComponents {
onVariants { v ->
val artifactsLoader = v.artifacts.getBuiltArtifactsLoader()
v.instrumentationRunnerArguments.put(
"targetAppId",
v.testedApks.map { artifactsLoader.load(it)?.applicationId }
)
}
}
@@ -0,0 +1 @@
<manifest />
@@ -0,0 +1,68 @@
package io.legado.baselineprofile
import androidx.benchmark.macro.junit4.BaselineProfileRule
import androidx.test.ext.junit.runners.AndroidJUnit4
import androidx.test.filters.LargeTest
import androidx.test.platform.app.InstrumentationRegistry
import org.junit.Rule
import org.junit.Test
import org.junit.runner.RunWith
/**
* This test class generates a basic startup baseline profile for the target package.
*
* We recommend you start with this but add important user flows to the profile to improve their performance.
* Refer to the [baseline profile documentation](https://d.android.com/topic/performance/baselineprofiles)
* for more information.
*
* You can run the generator with the "Generate Baseline Profile" run configuration in Android Studio or
* the equivalent `generateBaselineProfile` gradle task:
* ```
* ./gradlew :app:generateReleaseBaselineProfile
* ```
* The run configuration runs the Gradle task and applies filtering to run only the generators.
*
* Check [documentation](https://d.android.com/topic/performance/benchmarking/macrobenchmark-instrumentation-args)
* for more information about available instrumentation arguments.
*
* After you run the generator, you can verify the improvements running the [StartupBenchmarks] benchmark.
*
* When using this class to generate a baseline profile, only API 33+ or rooted API 28+ are supported.
*
* The minimum required version of androidx.benchmark to generate a baseline profile is 1.2.0.
**/
@RunWith(AndroidJUnit4::class)
@LargeTest
class BaselineProfileGenerator {
@get:Rule
val rule = BaselineProfileRule()
@Test
fun generate() {
// The application id for the running build variant is read from the instrumentation arguments.
rule.collect(
packageName = InstrumentationRegistry.getArguments().getString("targetAppId")
?: throw Exception("targetAppId not passed as instrumentation runner arg"),
// See: https://d.android.com/topic/performance/baselineprofiles/dex-layout-optimizations
includeInStartupProfile = true
) {
// This block defines the app's critical user journey. Here we are interested in
// optimizing for app startup. But you can also navigate and scroll through your most important UI.
// Start default activity for your app
pressHome()
startActivityAndWait()
// TODO Write more interactions to optimize advanced journeys of your app.
// For example:
// 1. Wait until the content is asynchronously loaded
// 2. Scroll the feed content
// 3. Navigate to detail screen
// Check UiAutomator documentation for more information how to interact with the app.
// https://d.android.com/training/testing/other-components/ui-automator
}
}
}
@@ -0,0 +1,76 @@
package io.legado.baselineprofile
import androidx.benchmark.macro.BaselineProfileMode
import androidx.benchmark.macro.CompilationMode
import androidx.benchmark.macro.StartupMode
import androidx.benchmark.macro.StartupTimingMetric
import androidx.benchmark.macro.junit4.MacrobenchmarkRule
import androidx.test.ext.junit.runners.AndroidJUnit4
import androidx.test.filters.LargeTest
import androidx.test.platform.app.InstrumentationRegistry
import org.junit.Rule
import org.junit.Test
import org.junit.runner.RunWith
/**
* This test class benchmarks the speed of app startup.
* Run this benchmark to verify how effective a Baseline Profile is.
* It does this by comparing [CompilationMode.None], which represents the app with no Baseline
* Profiles optimizations, and [CompilationMode.Partial], which uses Baseline Profiles.
*
* Run this benchmark to see startup measurements and captured system traces for verifying
* the effectiveness of your Baseline Profiles. You can run it directly from Android
* Studio as an instrumentation test, or run all benchmarks for a variant, for example benchmarkRelease,
* with this Gradle task:
* ```
* ./gradlew :baselineprofile:connectedBenchmarkReleaseAndroidTest
* ```
*
* You should run the benchmarks on a physical device, not an Android emulator, because the
* emulator doesn't represent real world performance and shares system resources with its host.
*
* For more information, see the [Macrobenchmark documentation](https://d.android.com/macrobenchmark#create-macrobenchmark)
* and the [instrumentation arguments documentation](https://d.android.com/topic/performance/benchmarking/macrobenchmark-instrumentation-args).
**/
@RunWith(AndroidJUnit4::class)
@LargeTest
class StartupBenchmarks {
@get:Rule
val rule = MacrobenchmarkRule()
@Test
fun startupCompilationNone() =
benchmark(CompilationMode.None())
@Test
fun startupCompilationBaselineProfiles() =
benchmark(CompilationMode.Partial(BaselineProfileMode.Require))
private fun benchmark(compilationMode: CompilationMode) {
// The application id for the running build variant is read from the instrumentation arguments.
rule.measureRepeated(
packageName = InstrumentationRegistry.getArguments().getString("targetAppId")
?: throw Exception("targetAppId not passed as instrumentation runner arg"),
metrics = listOf(StartupTimingMetric()),
compilationMode = compilationMode,
startupMode = StartupMode.COLD,
iterations = 10,
setupBlock = {
pressHome()
},
measureBlock = {
startActivityAndWait()
// TODO Add interactions to wait for when your app is fully drawn.
// The app is fully drawn when Activity.reportFullyDrawn is called.
// For Jetpack Compose, you can use ReportDrawn, ReportDrawnWhen and ReportDrawnAfter
// from the AndroidX Activity library.
// Check the UiAutomator documentation for more information on how to
// interact with the app.
// https://d.android.com/training/testing/other-components/ui-automator
}
)
}
}