The web-of-trust crawl (~400 lines: outbox routing, sharded backbone sweep, Phase-B worker pool, relay-list discovery, report-deletion fetch, warm pool) was making the CLI's GrapeRankCommand unmaintainably large. Move it into a reusable, KMP-portable GrapeRankDataCrawler in quartz commonMain. The crawler takes a NostrClient + IEventStore + AdaptiveRelayLimiter, injected relay policy (discovery + content-fallback sets, since those defaults live in app code, not the protocol library), and a log callback; it streams contact lists into a TrustGraphBuilder and returns crawl Stats. GrapeRankCommand shrinks to arg-parsing + offline load + scoring + publish + sub-verbs, delegating the online path to the crawler. To reach commonMain (portable to every target, incl. iOS): - Add ConcurrentMap / ConcurrentSet expect classes under utils/concurrent, with jvmAndroid actuals (java.util.concurrent) and native actuals (copy-on-write over kotlin.concurrent.atomics.AtomicReference, mirroring ConcurrentHashCache). commonMain has no ConcurrentHashMap, and the crawl's producer/consumer/drain- worker state needs atomic getOrPut/merge plus a concurrent set. - Move AdaptiveRelayLimiter and DrainFailure/classifyDrainFailure from cli to quartz commonMain (java atomics -> kotlin.concurrent.atomics, ConcurrentHashMap -> ConcurrentMap, System.currentTimeMillis -> TimeUtils.nowMillis, stderr -> Log). - The gated drain (REQ-size splitting, per-relay permits, verify+store) moves into the crawler; Context.drain loses its now-unused gatePerRelay path. Net: cli -1077 lines; the crawler + relay machinery are now reusable by the Android app. Adds ConcurrentCollectionsTest; verified via JVM + commonMain metadata compile, the wot/graperank suites, and a bounded live crawl.
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)
}
}
}
}