/multiplatform-settings

A Kotlin Multiplatform library for saving simple key-value data

Primary LanguageKotlinApache License 2.0Apache-2.0

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Multiplatform Settings

This is a Kotlin library for Multiplatform apps, so that common code can persist key-value data. It stores things using SharedPreferences on Android and NSUserDefaults on iOS.

Adding to your project

Multiplatform Settings is currently published to jcenter, so add that to repositories.

repositories {
    // ...
    jcenter()
}

Then, simply add the dependency to your common source-set dependencies

commonMain {
    dependencies {
        // ...
        implementation("com.russhwolf:multiplatform-settings:0.5.1")
    }
}

See also the sample project, which uses this structure.

Usage

The Settings interface has implementations on the Android, iOS, macOS, watchOOS, tvOS, JS, and JVM platforms. (Note that the two JVM implementations are currently marked as experimental.)

The Android implementation is AndroidSettings, which wraps SharedPreferences.

val delegate: SharedPreferences // ...
val settings: Settings = AndroidSettings(delegate)

On iOS, macOS, tvOS, or watchOS, AppleSettings wraps NSUserDefaults.

val delegate: NSUserDefaults // ...
val settings: Settings = AppleSettings(delegate)

On JS, JsSettings wraps Storage.

val delegate: Storage // ...
val settings: Settings = JsSettings(delegate)

val settings: Settings = JsSettings() // use localStorage by default

Once the Settings instance is created, you can store values by calling the various putXXX() methods, or their operator shortcuts

settings.putInt("key", 3)
settings["key"] = 3

You can retrieve stored values via the getXXX() methods or their operator shortcuts. If a key is not present, then the supplied default will be returned instead.

val a: Int = settings.getInt("key")
val b: Int = settings.getInt("key", defaultValue = -1) 
val c: Int = settings["key", -1]

Nullable methods are also available to avoid the need to use a default value. Instead, null will be returned if a key is not present.

val a: Int? = settings.getIntOrNull("key")
val b: Int? = settings["key"]

The getXXX() and putXXX() operation for a given key can be wrapped using a property delegate. This has the advantage of ensuring that the key is always accessed with a consistent type.

val a: Int by settings.int("key")
val b: Int by settings.int("key", defaultValue = -1)

Nullable delegates exists so that absence of a key can be indicated by null instead of a default value

val a: Int? by settings.nullableInt("key")

The key parameter can be omitted for delegates, and the property name will be reflectively used instead.

val a: Int by settings.int() // internally, key is "a"

Existence of a key can be queried

val a: Boolean = settings.hasKey("key")
val b: Boolean = "key" in settings

Values can also be removed by key

settings.remove("key")
settings -= "key"
settings["key"] = null

Finally, all values in a Settings instance can be removed

settings.clear()

For the Android, iOS, and macOS platforms, a Factory class also exists, so that multiple named Settings instances can coexist with the names being controlled from common code.

On Android, this factory needs a Context parameter

val context: Context // ...
val factory: Settings.Factory = AndroidSettings.Factory(context)

On iOS and macOS, the factory can be instantiated without passing any parameter

val factory: Settings.Factory = AppleSettings.Factory()

Testing

A testing dependency is available to aid in testing code that interacts with this library.

implementation("com.russhwolf:multiplatform-settings-test:0.5.1")

This includes a MockSettings implementation of the Settings interface, which is backed by an in-memory MutableMap on all platforms.

Other platforms

The Settings interface is published to all available platforms. Developers who desire implementations outside of the defaults provided are free to add their own implementations, and welcome to make pull requests if the implementation might be generally useful to others. Note that implementations which require external dependencies should be places in a separate gradle module in order to keep the core multiplatform-settings module dependency-free.

Experimental API

This is a pre-1.0 library based on an experimental framework, so some occasional API breakage may occur. However certain APIs are marked with explicit experimental annotations to highlight areas that might have more risk of API changes or unexpected behavior.

Experimental Platforms

Two pure-JVM implementations exist. JvmPreferencesSettings wraps Preferences and JvmPropertiesSettings wraps Properties. Their experimental status is marked with the @ExperimentalJvm annotation.

val delegate: Preferences // ...
val settings: Settings = JvmPreferencesSettings(delegate)

val delegate: Properties // ...
val settings: Settings = JvmPropertiesSettings(delegate)

Listeners

Update listeners are available using an experimental API, only for the AndroidSettings, AppleSettings, and JvmPreferencesSettings implementations. These are marked with the ObservableSettings interface, which includes addListener() and removeListener() methods.

val settingsListener: SettingsListener = settings.addListener(key) { /* ... */ }

The SettingsListener returned from the call should be used to signal when you're done listening:

settingsListener.deactivate()

This current listener implementation is not designed with any sort of thread-safety so it's recommended to only interact with these APIs from the main thread of your application.

The listener APIs make use of the Kotlin @ExperimentalListener annotation.

Building

The project includes multiple CI jobs configured using Azure pipelines. On PRs or updates to the master branch, the script in azure-pipelines.yml runs. This builds the library and runs unit tests for all platforms across Linux, Mac, and Windows hosts. In addition, the library build artifacts are deployed to the local maven repository and the sample project is built for the platforms on which it is implemented. This ensures that the sample remains in sync with updates to the library.

An addition pipeline is defined in azure-pipelines-deploy.yml, which runs whenever a tag is pushed to the remote. This builds the library for all platforms and uploads artifacts to Bintray. Uploaded artifacts must still be published manually.

Project Structure

The library logic lives in the commonMain, androidMain, and iosMain sources. The common source holds the Settings interface which exposes apis for persisting values of the Int, Long, String, Float, Double, and Boolean types. The common source also holds property delegate wrappers and other operator functions for cleaner syntax and usage. The platform sources then hold implementations, delegating to whichever delegate that platform uses. The macOS platform reads from the same sources as iOS. The experimental JVM and JS implementations reside in the jvmMain and jsMain sources, respectively

Some unit tests are defined which can be run via ./gradlew test. These use Robolectric on Android to mock out the android-specific behavior, and use the ios simulator to run the ios tests. The macOS tests run natively on macOS hosts. The experimental JS implementation uses the default test setup for the new JS plugin, and the experimental JVM implementation runs standard junit tests.

There is also a sample project to demonstrate usage, which is configured as a separate IDEA/gradle project in the sample directory. It includes a shared module with common, and platform-specific sources, to demo a shared logic layer consuming the library. Several gradle modules consume shared, including app-android for Android, app-tornadofx for TornadoFX on the JVM, and app-browser for the Javascript browser target. In addition, the app-ios directory holds an Xcode project which builds an iOS app in the usual way, consuming a framework produced by shared.

The shared module includes some simple unit tests in common code to demonstrate using the MockSettings implementation to mock out the Settings interface when testing code that interacts with it.

License

Copyright 2018-2019 Russell Wolf

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

   http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

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