This relands https://github.com/flutter/flutter/pull/35297
The followings have been done to fix the broken tests:
1. Add `didSendFirstFrameRasterizedEvent` extension and its tests
2. Wait for `didSendFirstFrameRasterizedEvent` instead of
`didSendFirstFrameEvent` during start up tests
3. Mark missed (probably newly added) start up tests as flaky
`flutter build aar`
This new build command works just like `flutter build apk` or `flutter build appbundle`, but for plugin and module projects.
This PR also refactors how plugins are included in app or module projects. By building the plugins as AARs, the Android Gradle plugin is able to use Jetifier to translate support libraries into AndroidX libraries for all the plugin's native code. Thus, reducing the error rate when using AndroidX in apps.
This change also allows to build modules as AARs, so developers can take these artifacts and distribute them along with the native host app without the need of the Flutter tool. This is a requirement for add to app.
`flutter build aar` generates POM artifacts (XML files) which contain metadata about the native dependencies used by the plugin. This allows Gradle to resolve dependencies at the app level. The result of this new build command is a single build/outputs/repo, the local repository that contains all the generated AARs and POM files.
In a Flutter app project, this local repo is used by the Flutter Gradle plugin to resolve the plugin dependencies. In add to app case, the developer needs to configure the local repo and the dependency manually in `build.gradle`:
repositories {
maven {
url "<path-to-flutter-module>build/host/outputs/repo"
}
}
dependencies {
implementation("<package-name>:flutter_<build-mode>:1.0@aar") {
transitive = true
}
}
`flutter build aar`
This new build command works just like `flutter build apk` or `flutter build appbundle`, but for plugin and module projects.
This PR also refactors how plugins are included in app or module projects. By building the plugins as AARs, the Android Gradle plugin is able to use Jetifier to translate support libraries into AndroidX libraries for all the plugin's native code. Thus, reducing the error rate when using AndroidX in apps.
This change also allows to build modules as AARs, so developers can take these artifacts and distribute them along with the native host app without the need of the Flutter tool. This is a requirement for add to app.
`flutter build aar` generates POM artifacts (XML files) which contain metadata about the native dependencies used by the plugin. This allows Gradle to resolve dependencies at the app level. The result of this new build command is a single build/outputs/repo, the local repository that contains all the generated AARs and POM files.
In a Flutter app project, this local repo is used by the Flutter Gradle plugin to resolve the plugin dependencies. In add to app case, the developer needs to configure the local repo and the dependency manually in `build.gradle`:
repositories {
maven {
url "<path-to-flutter-module>build/host/outputs/repo"
}
}
dependencies {
implementation("<package-name>:flutter_<build-mode>:1.0@aar") {
transitive = true
}
}
This is the first step in getting esoteric devices wired
up to device lab to ensure that we can at least start Flutter
apps in profile mode on such devices.
https://github.com/flutter/flutter/issues/35838
This updates the flutter tool cache to download binary files for ideviceinstaller, ios-deploy, libimobiledevice, and dynamically linked dependencies from Flutter's GCP bucket.
This updates the flutter tool to cache binary files for ideviceinstaller, ios-deploy, libimobiledevice, and dynamically linked dependencies from Flutter's GCP bucket.
* Introduce image_list performance benchmark that runs on jit(debug) build.
We want to track performance of debug build because ongoing work on reducing the cost of spanwing new isolate will impact jit(debug) more than it will aot(release) configurations.
* Newlines and spaces
* Add test case for Flutter Issue #27677 as a benchmark.
See https://github.com/flutter/flutter/issues/27677
I got the following results running the test on a Moto E2 which
will help us determine how much we can gain by analyzing the
operations and eliminating unnecessary repaints based on
dirty rectangles/regions.
no blurs - avg 216.0 fps over 3 samples
blur the group - avg 22.9 fps over 3 samples
blur each txt - avg 3.4 fps over 3 samples
* Added the new benchmark to be tracked on the dashboard.
