Coroutine patterns, Flow operators, Jetpack Compose state management, Ktor routing, and Kotlin Multiplatform shared code.
Modern Kotlin patterns for Android, server-side, and multiplatform development.
import kotlinx.coroutines.*
// Structured concurrency: child failures cancel siblings
suspend fun loadDashboard(): Dashboard = coroutineScope {
val profile = async { api.fetchProfile() }
val orders = async { api.fetchRecentOrders() }
val stats = async { api.fetchStats() }
// All run concurrently; if one fails, others are cancelled
Dashboard(
profile = profile.await(),
orders = orders.await(),
stats = stats.await()
)
}
// SupervisorScope: child failures don't cancel siblings
suspend fun loadOptionalData(): HomeScreen = supervisorScope {
val required = async { api.fetchRequiredData() }
val optional = async {
try { api.fetchRecommendations() }
catch (e: Exception) { emptyList() } // Graceful fallback
}
HomeScreen(
data = required.await(),
recommendations = optional.await()
)
}
// Retry with exponential backoff
suspend fun <T> retryWithBackoff(
maxRetries: Int = 3,
initialDelayMs: Long = 1000,
factor: Double = 2.0,
block: suspend () -> T
): T {
var currentDelay = initialDelayMs
repeat(maxRetries - 1) { attempt ->
try {
return block()
} catch (e: Exception) {
if (e is CancellationException) throw e // Never swallow cancellation
delay(currentDelay)
currentDelay = (currentDelay * factor).toLong()
}
}
return block() // Last attempt, let exception propagate
}
import kotlinx.coroutines.flow.*
// Repository pattern with Flow
class OrderRepository(private val api: OrderApi, private val db: OrderDao) {
// Offline-first: emit cached, then fetch fresh
fun getOrders(): Flow<List<Order>> = flow {
// Emit cached data first
emit(db.getAllOrders())
// Fetch fresh data
val fresh = api.fetchOrders()
db.insertAll(fresh)
emit(fresh)
}.catch { e ->
// On network error, emit cached data
emit(db.getAllOrders())
}
// Debounce search input
fun search(queryFlow: Flow<String>): Flow<List<Order>> =
queryFlow
.debounce(300)
.distinctUntilChanged()
.filter { it.length >= 2 }
.flatMapLatest { query ->
flow { emit(api.search(query)) }
.catch { emit(emptyList()) }
}
// Combine multiple flows
fun getDashboard(): Flow<DashboardState> =
combine(
getOrders(),
getStats(),
getNotifications()
) { orders, stats, notifications ->
DashboardState(orders, stats, notifications)
}
}
// StateFlow for UI state (hot flow, always has value)
class OrderViewModel(private val repo: OrderRepository) : ViewModel() {
private val _uiState = MutableStateFlow<UiState>(UiState.Loading)
val uiState: StateFlow<UiState> = _uiState.asStateFlow()
init {
viewModelScope.launch {
repo.getOrders()
.map { orders -> UiState.Success(orders) as UiState }
.catch { emit(UiState.Error(it.message ?: "Unknown error")) }
.collect { _uiState.value = it }
}
}
sealed interface UiState {
data object Loading : UiState
data class Success(val orders: List<Order>) : UiState
data class Error(val message: String) : UiState
}
}
@Composable
fun OrderListScreen(viewModel: OrderViewModel = viewModel()) {
val uiState by viewModel.uiState.collectAsStateWithLifecycle()
when (val state = uiState) {
is UiState.Loading -> LoadingIndicator()
is UiState.Error -> ErrorMessage(state.message) { viewModel.retry() }
is UiState.Success -> OrderList(
orders = state.orders,
onOrderClick = { viewModel.selectOrder(it) },
onDelete = { viewModel.deleteOrder(it) }
)
}
}
// Stateless composable with hoisted state
@Composable
fun OrderList(
orders: List<Order>,
onOrderClick: (Order) -> Unit,
onDelete: (Order) -> Unit,
modifier: Modifier = Modifier
) {
LazyColumn(modifier = modifier) {
items(orders, key = { it.id }) { order ->
OrderItem(
order = order,
onClick = { onOrderClick(order) },
onDelete = { onDelete(order) },
modifier = Modifier.animateItem()
)
}
}
}
// Remember expensive computation
@Composable
fun FilteredOrders(orders: List<Order>, filter: String) {
val filtered = remember(orders, filter) {
orders.filter { it.status.name.contains(filter, ignoreCase = true) }
}
OrderList(orders = filtered, onOrderClick = {}, onDelete = {})
}
import io.ktor.server.application.*
import io.ktor.server.routing.*
import io.ktor.server.response.*
import io.ktor.server.request.*
import io.ktor.http.*
fun Application.configureRouting() {
routing {
route("/api/v1") {
// Middleware: auth check for all routes under /api/v1
install(AuthPlugin)
route("/orders") {
get {
val page = call.parameters["page"]?.toIntOrNull() ?: 1
val limit = call.parameters["limit"]?.toIntOrNull()?.coerceIn(1, 100) ?: 20
val orders = orderService.findAll(page, limit)
call.respond(ApiResponse.success(orders))
}
get("/{id}") {
val id = call.parameters["id"]
?: return@get call.respond(HttpStatusCode.BadRequest, "Missing ID")
val order = orderService.findById(id)
?: return@get call.respond(HttpStatusCode.NotFound)
call.respond(ApiResponse.success(order))
}
post {
val input = call.receive<CreateOrderInput>()
val validated = input.validate()
?: return@post call.respond(HttpStatusCode.BadRequest, "Invalid input")
val order = orderService.create(validated)
call.respond(HttpStatusCode.Created, ApiResponse.success(order))
}
}
}
}
}
// Typed API response wrapper
@Serializable
data class ApiResponse<T>(
val success: Boolean,
val data: T? = null,
val error: String? = null
) {
companion object {
fun <T> success(data: T) = ApiResponse(success = true, data = data)
fun error(message: String) = ApiResponse<Nothing>(success = false, error = message)
}
}
// shared/src/commonMain/kotlin
expect class PlatformContext
// Repository shared between Android/iOS
class SharedOrderRepository(
private val httpClient: HttpClient,
private val database: SharedDatabase
) {
suspend fun getOrders(): List<Order> {
return try {
val remote = httpClient.get("https://api.example.com/orders").body<List<Order>>()
database.orderDao().insertAll(remote)
remote
} catch (e: Exception) {
database.orderDao().getAll() // Offline fallback
}
}
}
// shared/src/androidMain/kotlin
actual class PlatformContext(val context: android.content.Context)
// shared/src/iosMain/kotlin
actual class PlatformContext
key parameter in LazyColumn items for stable identityPyTorch深度学习模式与最佳实践,用于构建稳健、高效且可复现的训练流程、模型架构和数据加载。