This is a sample of what a production app might look like when using KMMBridge. It's intended to help get you started integrating a Kotlin Mutliplatform Mobile shared library into your production code.
We created sample Android and iOS projects to illustrate a simple usage of this SDK.
This is still a work in progress so some details might be changing. Feel free to open an issue if you see something that could be improved!
This repository is split into the following modules:
allshared
only has iOS sources. It can include any iOS-specific API surface (e.g. callback wrappers around suspend
functions) and exports analytics
. This is the module where KMMBridge is configured.
analytics
is a module to make analytics calls. This is often a thing teams try to integrate first when introducing
KMM, so it can provide a template for introducing shared analytics into your own project.
Click “Use Template”, give your repo a name, and create it.
Add a group string to your repo. You can open gradle.properties and edit GROUP.
After the repo has been created and GROUP has been specified, go to “Actions” and run one of the available CI workflows. KMM Bridge/iOS Publish will build and publish just the iOS SDK. All Publish Will publish iOS and Android binaries.
For more detailed info and for next steps see this tutorial blog post.
Add dependencies in your build.gradle file
implementation("co.touchlab.kmmbridgekickstart:analytics:${VERSION}")
Initialize the SDK in onCreate
of your main application
by calling
val sdkHandle = startSDK(analytics = AnalyticsImpl, context = this)
(Optional) log the app start
sdkHandle.appAnalytics.appStarted()
sdkHandle.appAnalytics
Import the DogoTracker
module
import DogoTracker
Initialize the SDK in init
function in the App
class
init() {
self.handle = StartSDKKt.startSDK(analytics: IosAnalytics))
}
class IosAnalytics: Analytics {
func sendEvent(eventName: String, parameters: [String : Any]) {
//Call event. FE
// Tracker.shared.track(event: AppEvent(name: TrackingEventName(rawValue: eventName), parameters: parameters))
}
}
with your implementation of the `Analytics` interface.
(Optional) log the app start
handle.appAnalytics().appStarted()
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