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# Nostr Relay Async Patterns
Proven coroutine patterns for Nostr relay connections, subscriptions, and event streaming in Amethyst.
## Core Pattern: callbackFlow for Relay Subscriptions
### Pattern: Subscription as Flow
**Real implementation from NostrClientStaticReqAsStateFlow.kt:**
```kotlin
fun INostrClient.reqAsFlow(
relay: NormalizedRelayUrl,
filters: List<Filter>,
): Flow<List<Event>> =
callbackFlow {
val subId = RandomInstance.randomChars(10)
var hasBeenLive = false
val eventIds = mutableSetOf<HexKey>()
var currentEvents = listOf<Event>()
val listener = object : IRequestListener {
override fun onEvent(
event: Event,
isLive: Boolean,
relay: NormalizedRelayUrl,
forFilters: List<Filter>?,
) {
if (event.id !in eventIds) {
if (hasBeenLive) {
// After EOSE: prepend new events
val list = ArrayList<Event>(1 + currentEvents.size)
list.add(event)
list.addAll(currentEvents)
currentEvents = list
} else {
// Before EOSE: append events
currentEvents = currentEvents + event
}
eventIds.add(event.id)
trySend(currentEvents)
}
}
override fun onEose(
relay: NormalizedRelayUrl,
forFilters: List<Filter>?,
) {
hasBeenLive = true
}
}
openReqSubscription(subId, mapOf(relay to filters), listener)
awaitClose {
close(subId)
}
}
```
**Key techniques:**
1. **callbackFlow** - Bridge callback API to Flow
2. **Deduplication** - `eventIds` set prevents duplicates
3. **EOSE handling** - Changes insertion strategy (append → prepend)
4. **awaitClose** - Cleanup when flow cancelled
5. **trySend** - Non-blocking emission from callback
## Multi-Relay Patterns
### Pattern: Merge Events from Multiple Relays
```kotlin
fun observeFromRelays(
relays: List<NormalizedRelayUrl>,
filters: List<Filter>
): Flow<Event> =
relays.map { relay ->
client.reqAsFlow(relay, filters)
.flatMapConcat { it.asFlow() }
}.merge()
.distinctBy { it.id }
```
**Explanation:**
- Each relay produces `Flow<List<Event>>`
- `flatMapConcat` flattens to `Flow<Event>`
- `merge()` combines all relay flows
- `distinctBy` deduplicates across relays
### Pattern: Concurrent Relay Operations with supervisorScope
```kotlin
suspend fun subscribeToRelays(
relays: List<Relay>,
filters: List<Filter>
) = supervisorScope {
relays.forEach { relay ->
launch {
relay.subscribe(filters).collect { event ->
eventChannel.send(event)
}
}
}
}
```
**Why supervisorScope:**
- If one relay fails, others continue
- All children cancelled when scope cancelled
- Structured concurrency maintained
## Backpressure Handling
### Pattern: Buffer with Drop Strategy
**For high-frequency event streams:**
```kotlin
relayFlow
.buffer(
capacity = 64,
onBufferOverflow = BufferOverflow.DROP_OLDEST
)
.collect { event -> processEvent(event) }
```
**Strategy selection:**
- `DROP_OLDEST` - For real-time feeds (lose old events OK)
- `DROP_LATEST` - For priority queues (lose new events OK)
- `SUSPEND` - For critical events (slow down producer)
### Pattern: Conflate for UI Updates
```kotlin
val uiEvents: Flow<UiEvent> = relayEvents
.map { event -> toUiEvent(event) }
.conflate() // Skip intermediate, show latest
.flowOn(Dispatchers.Default)
```
## Connection Management
### Pattern: Network Connectivity as Flow
**Real implementation from ConnectivityFlow.kt:**
```kotlin
@OptIn(FlowPreview::class)
val status = callbackFlow {
trySend(ConnectivityStatus.StartingService)
val connectivityManager = context.getConnectivityManager()
val networkCallback = object : ConnectivityManager.NetworkCallback() {
override fun onAvailable(network: Network) {
connectivityManager.getNetworkCapabilities(network)?.let {
trySend(ConnectivityStatus.Active(
network.networkHandle,
it.isMeteredOrMobileData()
))
}
}
override fun onCapabilitiesChanged(
network: Network,
networkCapabilities: NetworkCapabilities
) {
val isMobile = networkCapabilities.isMeteredOrMobileData()
trySend(ConnectivityStatus.Active(
network.networkHandle,
isMobile
))
}
override fun onLost(network: Network) {
trySend(ConnectivityStatus.Off)
}
}
connectivityManager.registerDefaultNetworkCallback(networkCallback)
// Send initial state
connectivityManager.activeNetwork?.let { network ->
connectivityManager.getNetworkCapabilities(network)?.let {
trySend(ConnectivityStatus.Active(
network.networkHandle,
it.isMeteredOrMobileData()
))
}
}
awaitClose {
connectivityManager.unregisterNetworkCallback(networkCallback)
trySend(ConnectivityStatus.Off)
}
}
.distinctUntilChanged()
.debounce(200) // Stabilize rapid changes
.flowOn(Dispatchers.IO)
```
**Key patterns:**
1. **Initial state** - Emit current connectivity immediately
2. **Callback registration** - Register listener in flow body
3. **Cleanup** - Unregister in `awaitClose`
4. **Stabilization** - `debounce(200)` prevents flapping
5. **Deduplication** - `distinctUntilChanged()` skips redundant updates
### Pattern: Reconnect on Connectivity Change
```kotlin
connectivityFlow
.flatMapLatest { status ->
when (status) {
is ConnectivityStatus.Active -> {
relayPool.connectAll()
relayPool.observeEvents()
}
else -> emptyFlow()
}
}
.collect { event -> handleEvent(event) }
```
## Exception Handling in Async Operations
### Pattern: CoroutineExceptionHandler + SupervisorJob
**Real implementation from PushNotificationReceiverService.kt:**
```kotlin
class PushNotificationReceiverService : FirebaseMessagingService() {
// Catch all uncaught exceptions
val exceptionHandler = CoroutineExceptionHandler { _, throwable ->
Log.e("AmethystCoroutine", "Caught exception: ${throwable.message}", throwable)
}
// Children fail independently, handler catches all
private val scope = CoroutineScope(
Dispatchers.IO + SupervisorJob() + exceptionHandler
)
override fun onMessageReceived(remoteMessage: RemoteMessage) {
scope.launch(Dispatchers.IO) {
parseMessage(remoteMessage.data)?.let { receiveIfNew(it) }
}
}
override fun onDestroy() {
scope.cancel()
super.onDestroy()
}
}
```
**Why this pattern:**
- **SupervisorJob** - One failure doesn't cancel others
- **ExceptionHandler** - Log exceptions, don't crash
- **Scoped lifecycle** - Cancel all on destroy
### Pattern: Retry with Backoff for Relay Connections
```kotlin
fun connectWithRetry(relay: Relay): Flow<ConnectionStatus> = flow {
var attempt = 0
val maxRetries = 5
val baseDelay = 1000L
while (attempt < maxRetries) {
try {
emit(ConnectionStatus.Connecting)
relay.connect()
emit(ConnectionStatus.Connected)
return@flow
} catch (e: Exception) {
attempt++
emit(ConnectionStatus.Error(e, attempt))
if (attempt < maxRetries) {
val delay = baseDelay * (1L shl attempt) // Exponential backoff
delay(delay)
}
}
}
emit(ConnectionStatus.Failed)
}
```
## Subscription Lifecycle
### Pattern: Auto-Cleanup Subscription
```kotlin
@Composable
fun ObserveRelayEvents(
filters: List<Filter>,
onEvent: (Event) -> Unit
) {
val scope = rememberCoroutineScope()
DisposableEffect(filters) {
val job = scope.launch {
relayClient.reqAsFlow(filters).collect { events ->
events.forEach { onEvent(it) }
}
}
onDispose {
job.cancel() // Cancels flow, triggers awaitClose
}
}
}
```
**Lifecycle:**
1. Composable enters → subscribe
2. filters change → cancel + re-subscribe
3. Composable leaves → cancel + cleanup
### Pattern: Multiple Concurrent Subscriptions
```kotlin
fun observeMultipleFeeds(
account: Account
): Flow<Event> = channelFlow {
supervisorScope {
// Home feed
launch {
client.reqAsFlow(filters = homeFeedFilters)
.collect { events -> events.forEach { send(it) } }
}
// Notifications
launch {
client.reqAsFlow(filters = notificationFilters)
.collect { events -> events.forEach { send(it) } }
}
// DMs
launch {
client.reqAsFlow(filters = dmFilters)
.collect { events -> events.forEach { send(it) } }
}
}
}
```
**Benefits:**
- All subscriptions run concurrently
- One failure doesn't affect others (supervisorScope)
- Single output channel for all events
## Performance Optimization
### Pattern: Shared Upstream for Multiple Collectors
```kotlin
class RelayViewModel(private val client: INostrClient) : ViewModel() {
val events: SharedFlow<Event> = client
.reqAsFlow(relay, filters)
.flatMapConcat { it.asFlow() }
.shareIn(
scope = viewModelScope,
started = SharingStarted.WhileSubscribed(5000),
replay = 0
)
}
// Multiple collectors share single relay subscription
events.collect { /* UI 1 */ }
events.collect { /* UI 2 */ }
```
### Pattern: Event Deduplication Cache
```kotlin
class EventCache {
private val seen = mutableSetOf<HexKey>()
fun filterNew(events: List<Event>): List<Event> =
events.filter { event ->
if (event.id in seen) {
false
} else {
seen.add(event.id)
true
}
}
}
val deduplicatedEvents = relayEvents
.map { events -> cache.filterNew(events) }
.filter { it.isNotEmpty() }
```
## Testing Relay Flows
### Pattern: Test with Fake Relay
```kotlin
@Test
fun `subscription receives events`() = runTest {
val fakeRelay = FakeRelay()
val client = NostrClient(fakeRelay)
val events = mutableListOf<Event>()
val job = launch {
client.reqAsFlow(relay, filters).collect { list ->
events.addAll(list)
}
}
// Simulate relay responses
fakeRelay.sendEvent(testEvent1)
advanceTimeBy(100)
fakeRelay.sendEvent(testEvent2)
advanceTimeBy(100)
assertEquals(2, events.size)
job.cancel()
}
```
## Common Pitfalls
### ❌ Forgetting awaitClose
```kotlin
// BAD: Subscription never cleaned up
callbackFlow {
relay.subscribe(listener)
// Missing awaitClose!
}
```
```kotlin
// GOOD: Proper cleanup
callbackFlow {
relay.subscribe(listener)
awaitClose {
relay.unsubscribe(listener)
}
}
```
### ❌ Using GlobalScope
```kotlin
// BAD: Unstructured, leaks
GlobalScope.launch {
relay.connect()
}
```
```kotlin
// GOOD: Scoped to lifecycle
viewModelScope.launch {
relay.connect()
}
```
### ❌ Blocking in Flow Operators
```kotlin
// BAD: Blocks collector
flow.map { event ->
Thread.sleep(1000) // Blocks!
process(event)
}
```
```kotlin
// GOOD: Use flowOn to offload
flow
.map { event ->
delay(1000) // Suspends, doesn't block
process(event)
}
.flowOn(Dispatchers.Default)
```