The ping-interval change shipped on reasoning and was overturned by measurement; these tests give the remaining battery changes the same scrutiny where the claims are about OUR code (deterministically testable), instead of leaving them reasoning-only: - NostrClientKeepAliveTest (quartz): a server-closed relay is redialed within one 60s sweep while active; ZERO dials happen while the client is inactive no matter how much time passes; and the sweep provably resumes after connect() — the failure mode a suspend/resume bug in the new isActiveFlow gate would cause. - ScheduledPostWorkGate extracted from AppModules + tests: schedules on the first PENDING post, cancels when the last drains, re-schedules on publishNow-retry, and — the race that motivated the extraction — never emits a spurious cancel from the store flow's empty placeholder before the disk load completes. - CalendarReminderWorker.couldStillFire extracted + tests against LocalCache: future target keeps the chain, past target lets it end, and an unresolved/start-less target keeps it alive so a reminder can't be lost while the target event is still being fetched. The watchdog alarm change (wakeup -> non-wakeup) remains reasoning-only by nature: it asserts Android OS alarm semantics on OEM devices, which no JVM test can exercise; its blast radius is limited to opt-in always-on users with two independent restart layers still active. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_016RJ8EAsdkHx5WHHU2eQJ1P
Quartz Guide for Clients
Here's how to structure a new Twitter-like client.
Architecture
Set up a Context class to wire Quartz components together. Usually there is only one instance of this class.
object AppGraph {
// application-wide scope
private val scope = CoroutineScope(Dispatchers.IO + SupervisorJob())
// the local db
val sqlite = EventStore(dbName = "demo-events.db")
// the local cache that keeps only one copy of each event in memory
val interned = InterningEventStore(sqlite)
// the observable db, that you can produce flows that auto update
val db = ObservableEventStore(interned)
// the client to access relays
val client = NostrClient(websocketBuilder = KtorWebSocket.Builder())
// sends all events, regardless of the subscription, to the local db
val collector = EventCollector(client) { event, _ ->
runCatching {
db.insert(event)
}
}
// update this variable when a user logs in, starts with a guest
var signer: NostrSigner = NostrSignerInternal(KeyPair())
init {
// Periodic NIP-40 sweep — drops expired events from SQLite and
// emits StoreChange.DeleteExpired so live projections drop them
// too. Without this the on-disk store grows monotonically.
scope.launch {
while (isActive) {
delay(15.minutes)
runCatching { db.deleteExpiredEvents() }
}
}
}
}
Then use a view model to subscribe to relays and the local db at the same time, like this:
class NotesFeed(
private val db: ObservableEventStore,
private val client: NostrClient,
) {
private val subId = newSubId()
private val filter = Filter(kinds = listOf(TextNoteEvent.KIND), limit = 100)
private val relays =
setOf(
"wss://relay.damus.io".normalizeRelayUrl(),
"wss://nos.lol".normalizeRelayUrl(),
"wss://relay.nostr.band".normalizeRelayUrl(),
)
val notes: Flow<ProjectionState<TextNoteEvent>> =
db
.project<TextNoteEvent>(filter)
.filterItems { it.value.isNewThread() }
.onStart { client.subscribe(subId, relays.associateWith { listOf(filter) }) }
.onCompletion { client.unsubscribe(subId) }
}
class FeedViewModel(
private val db: ObservableEventStore,
private val client: NostrClient,
) : ViewModel() {
val notesFeed = NotesFeed(db, client)
val feed = notesFeed
.flow
.stateIn(viewModelScope, SharingStarted.WhileSubscribed(5_000), ProjectionState.Loading)
fun send(text: String, signer: NostrSigner) {
viewModelScope.launch {
val signed = signer.sign<TextNoteEvent>(TextNoteEvent.build(text))
// Hits the bus → projection picks it up alongside any inbound relay copy.
db.insert(signed)
client.publish(signed, relays)
}
}
}
Notice that the notes flow is ready for the UI and automatically subscribes
and unsubscribes to any group of relays and filters the user wants. Similarly,
the send function updates both the local db and the relay.
NostrClient connects on-demand: the first subscribe(...) or publish(...) to a relay triggers the socket. There's no need to call client.connect() at startup — it's only useful for resuming after a prior disconnect().
Building a reactive feed UI
A feed screen reads from the view model's feed flow, which only updates when new events arrive or are deleted due to kind 5 deletions, vanish requests or expirations.
fun main() {
application {
val state = rememberWindowState(size = DpSize(560.dp, 720.dp))
Window(onCloseRequest = ::exitApplication, state = state, title = "Nostr Kind 1 Demo") {
MaterialTheme {
val viewModel = remember {
FeedViewModel(AppGraph.db, AppGraph.client, AppGraph.signer)
}
val noteState by viewModel.feed.collectAsStateWithLifecycle()
when (noteState) {
is ProjectionState.Loading -> LoadingFeed()
is ProjectionState.Loaded -> Feed(noteState.items)
}
}
}
}
}
@Composable
private fun LoadingFeed() {
Box(modifier = Modifier.fillMaxSize(), contentAlignment = Alignment.Center) {
CircularProgressIndicator()
}
}
@Composable
private fun Feed(items: List<MutableStateFlow<TextNoteEvent>>) {
LazyColumn(modifier = Modifier.fillMaxSize()) {
items(items = items, key = { it.value.id }) { handle ->
NoteRow(handle)
HorizontalDivider()
}
}
}
@Composable
private fun NoteRow(handle: MutableStateFlow<TextNoteEvent>) {
val event by handle.collectAsStateWithLifecycle()
Text(
text = event.content,
style = MaterialTheme.typography.bodyMedium,
modifier = Modifier.padding(top = 4.dp),
)
}
Notice how each how also subscribe for changes. This is important to receive updates from replaceable and addressable events.
Appendix A
Quartz doesn't offer a Ktor websocket, but you can use this one as reference.
/**
* Ktor-based [WebSocket] for talking to a Nostr relay.
*
* Quartz exposes [WebsocketBuilder] as the only seam between its relay-pool
* and the underlying transport, so all this class has to do is open a Ktor
* websocket session, forward incoming text frames to [out], and let Quartz
* drive sends.
*/
class KtorWebSocket(
private val url: NormalizedRelayUrl,
private val httpClient: HttpClient,
private val out: WebSocketListener,
) : WebSocket {
private val scope = CoroutineScope(Dispatchers.IO + SupervisorJob())
private var session: DefaultWebSocketSession? = null
private var readerJob: Job? = null
override fun needsReconnect(): Boolean = session == null
override fun connect() {
readerJob =
scope.launch {
try {
val s = httpClient.webSocketSession(urlString = url.url)
session = s
out.onOpen(0, false)
for (frame in s.incoming) {
if (frame is Frame.Text) {
out.onMessage(frame.readText())
}
}
val reason = s.closeReason.await()
out.onClosed(
code =
reason?.code?.toInt() ?: CloseReason.Codes.NORMAL.code
.toInt(),
reason = reason?.message ?: "",
)
} catch (t: Throwable) {
out.onFailure(t, null, null)
} finally {
session = null
}
}
}
override fun disconnect() {
val s = session
session = null
readerJob?.cancel()
readerJob = null
if (s != null) {
runBlocking { s.close(CloseReason(CloseReason.Codes.NORMAL, "client disconnect")) }
}
scope.cancel()
}
override fun send(msg: String): Boolean {
val s = session ?: return false
scope.launch { s.send(msg) }
return true
}
/**
* The factory Quartz hands to [com.vitorpamplona.quartz.nip01Core.relay.client.NostrClient].
* One [HttpClient] is shared by every relay in the pool.
*/
class Builder(
private val httpClient: HttpClient = defaultClient(),
) : WebsocketBuilder {
override fun build(
url: NormalizedRelayUrl,
out: WebSocketListener,
): WebSocket = KtorWebSocket(url, httpClient, out)
companion object {
fun defaultClient() =
HttpClient(CIO) {
install(WebSockets)
}
}
}
}