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fix: dedup EventListMatchingFilter (observeEvents) and harden emission contract
EventListMatchingFilter had the same mutable-sort-key defect as NoteListMatchingFilter: it stored Notes in a ConcurrentSkipListSet ordered by the live created_at, so a newer replaceable version (which mutates the shared AddressableNote in place) stranded its node and let the same instance be inserted twice — the emitted event list then carried the same event twice. It hadn't surfaced as a crash only because its consumers (app recommendations, relay groups, room reactions) happen to dedup downstream. Apply the same capture-key + idHex-dedup + per-key compute design, but preserve EventListMatchingFilter's update-reflecting semantics: an addressable update re-emits (the snapshot reads the refreshed event live off the note) rather than being ignored. It keeps the entry's captured position instead of re-sorting — re-sorting via remove+add let two entries with different captured keys for the same note transiently coexist and both read the same live event, duplicating it. Also harden both filters' emission: a ConcurrentSkipListSet iterator is weakly consistent, so under concurrent add/remove churn a single traversal can momentarily surface a key twice. snapshot() now dedups by idHex so the emitted list — the LazyColumn's source of keys — is always unique, regardless of transient internal states. Corrected the over-claimed "can never hold two" docstrings accordingly. Adds EventListMatchingFilterTest mirroring the note tests: update-reflection, version-note re-emit, sorted order, remove-after-mutation, and two concurrency stress tests (with/without limit) that failed before this fix. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ah1aCniyjnzc27x4pwq2Df
This commit is contained in:
+108
-20
@@ -24,22 +24,76 @@ import com.vitorpamplona.amethyst.commons.model.AddressableNote
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import com.vitorpamplona.amethyst.commons.model.Note
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import com.vitorpamplona.quartz.nip01Core.core.AddressableEvent
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import com.vitorpamplona.quartz.nip01Core.core.Event
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import com.vitorpamplona.quartz.nip01Core.core.HexKey
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import com.vitorpamplona.quartz.nip01Core.relay.filters.Filter
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import java.util.SortedSet
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import java.util.concurrent.ConcurrentHashMap
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import java.util.concurrent.ConcurrentSkipListSet
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/**
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* Creates a list of events (regular and addressable)
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* that is updated every time a new event that matches
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* the filter is received, including addressables.
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* Creates a list of events (regular and addressable), sorted by created_at, that
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* is updated every time a new matching event is received — INCLUDING newer
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* versions of addressables, whose refreshed content re-emits and re-sorts.
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*
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* Like [NoteListMatchingFilter], this cannot store mutable [Note]s in a set
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* ordered on their live created_at: a newer replaceable event mutates the SAME
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* [AddressableNote] instance in place, which strands its node and lets the same
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* instance be inserted twice — the emitted list would then carry the same event
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* twice. So the sort key is snapshotted into an immutable [Entry], [sorted] is
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* ordered on that snapshot, and [byId] is the membership source of truth keyed
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* by the stable idHex (the address for addressables, the event id otherwise).
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*
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* Unlike [NoteListMatchingFilter], an addressable update is NOT ignored: the
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* list re-emits so consumers pick up the refreshed [Event] (read live off the
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* note). The entry's captured position is kept — re-sorting an updated entry
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* would mean a remove+add on [sorted], and two entries with different captured
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* keys for the same note would then transiently coexist and both read the same
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* live event, duplicating it. Keeping the position matches the original's only
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* non-corrupting behavior (it never reliably re-sorted either); consumers that
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* care about order re-sort downstream.
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*
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* Observer callbacks fire concurrently from several consume threads (relay
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* ingest + UI-side justConsume), so it stays lock-free: [sorted] is only ever
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* written for a key INSIDE that key's `compute` critical section, and only while
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* the key is absent. ConcurrentHashMap stripes per key, so same-idHex ops
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* serialize while different keys run in parallel. An entry is added only while
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* its key is absent from [byId], and every path that frees a key removes its
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* entry from [sorted] first.
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*
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* That keeps [sorted] converged to one entry per idHex, but a
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* ConcurrentSkipListSet iterator is only weakly consistent: under concurrent
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* add/remove churn a single traversal can momentarily surface a key twice
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* (lazy-deleted node not yet unlinked while its replacement is inserted). The
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* emitted list must never carry a duplicate id — a LazyColumn keyed on it would
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* crash — so [snapshot] deduplicates by the stable idHex as it materializes.
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*/
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class EventListMatchingFilter<T : Event>(
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private val filter: Filter,
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private val atOnce: (filter: Filter) -> SortedSet<Note>,
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private val update: (List<T>) -> Unit,
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) : Observable {
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// Keeping this here blocks it from being cleared from memory
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var currentResults: ConcurrentSkipListSet<Note> = ConcurrentSkipListSet(CreatedAtIdHexComparator)
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/** A note plus the sort key captured at insertion time, so ordering never depends on mutable state. */
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private class Entry(
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val note: Note,
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val createdAt: Long,
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val id: HexKey,
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)
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// created_at descending, id ascending as a stable tiebreak. Both fields are
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// immutable snapshots, so an Entry never moves once inserted.
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private val order =
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Comparator<Entry> { a, b ->
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val byCreatedAt = b.createdAt.compareTo(a.createdAt)
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if (byCreatedAt != 0) byCreatedAt else a.id.compareTo(b.id)
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}
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private val sorted = ConcurrentSkipListSet(order)
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private val byId = ConcurrentHashMap<HexKey, Entry>()
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private fun entryFor(note: Note): Entry {
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val event = note.event
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return Entry(note, note.createdAt() ?: Long.MIN_VALUE, event?.id ?: note.idHex)
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}
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@Suppress("UNCHECKED_CAST")
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override fun new(
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@@ -47,34 +101,68 @@ class EventListMatchingFilter<T : Event>(
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note: Note,
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) {
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if (event is AddressableEvent && note !is AddressableNote) {
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// event update
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if (currentResults.contains(note)) {
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update(currentResults.mapNotNull { it.event as? T })
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}
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// The "version" note (a regular note holding an addressable event) is
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// never stored — the AddressableNote is. Re-emit if that addressable
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// is already listed so consumers pick up the refreshed content.
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if (byId.containsKey(event.address().toValue())) update(snapshot())
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return
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}
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if (filter.match(event)) {
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currentResults.add(note)
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val limit = filter.limit
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if (limit != null && currentResults.size > limit) {
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currentResults.remove(currentResults.last())
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}
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if (!filter.match(event)) return
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update(currentResults.mapNotNull { it.event as? T })
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// Add to [sorted] atomically with claiming the idHex slot, only when the
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// key is absent. An update keeps its entry (and position) — the re-emit
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// below reflects the refreshed event read live off the note.
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var added = false
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byId.compute(note.idHex) { _, existing ->
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existing ?: entryFor(note).also {
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sorted.add(it)
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added = true
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}
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}
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if (added) {
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val limit = filter.limit
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if (limit != null && sorted.size > limit) {
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// Drop the oldest (sorts last under [order]).
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sorted.pollLast()?.let { byId.remove(it.note.idHex, it) }
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}
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}
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// Always re-emit on a match: a first insert grows the list, an update
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// refreshes the event content the snapshot reads off the note.
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update(snapshot())
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}
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@Suppress("UNCHECKED_CAST")
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override fun remove(note: Note) {
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if (currentResults.remove(note)) {
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update(currentResults.mapNotNull { it.event as? T })
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var removed = false
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byId.compute(note.idHex) { _, existing ->
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if (existing != null) {
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sorted.remove(existing)
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removed = true
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}
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null
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}
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if (removed) update(snapshot())
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}
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@Suppress("UNCHECKED_CAST")
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fun init() {
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currentResults = ConcurrentSkipListSet(atOnce(filter))
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update(currentResults.mapNotNull { it.event as? T })
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sorted.clear()
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byId.clear()
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atOnce(filter).forEach { note ->
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byId.computeIfAbsent(note.idHex) { entryFor(note).also { sorted.add(it) } }
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}
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update(snapshot())
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}
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@Suppress("UNCHECKED_CAST")
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private fun snapshot(): List<T> {
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// Dedup by the stable idHex: the weakly-consistent iterator can transiently
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// surface a key twice under concurrent churn. Both would read the same live
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// event off the same note, so keeping the first (newest position) is correct.
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val seen = HashSet<HexKey>()
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return sorted.mapNotNull { e -> if (seen.add(e.note.idHex)) e.note.event as? T else null }
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}
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}
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+21
-7
@@ -55,10 +55,16 @@ import java.util.concurrent.ConcurrentSkipListSet
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* stays lock-free: [byId] is a ConcurrentHashMap and every write to [sorted] for
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* a given idHex happens INSIDE that key's `compute` critical section.
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* ConcurrentHashMap stripes per key, so same-idHex ops serialize while different
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* keys run fully in parallel. The invariant that prevents duplicates: an entry
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* is added to [sorted] only while its key is absent from [byId], and every path
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* that makes a key absent removes its entry from [sorted] first — so [sorted]
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* can never hold two entries for one idHex.
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* keys run fully in parallel. An entry is added to [sorted] only while its key
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* is absent from [byId], and every path that makes a key absent removes its
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* entry from [sorted] first, keeping [sorted] converged to one entry per idHex.
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*
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* That convergence isn't enough on its own: a ConcurrentSkipListSet iterator is
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* only weakly consistent, so under concurrent add/remove churn a single
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* traversal can momentarily surface a key twice (a lazy-deleted node not yet
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* unlinked while its replacement is inserted). The emitted list must never carry
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* a duplicate idHex — the LazyColumn keyed on it would crash — so [snapshot]
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* deduplicates by idHex as it materializes.
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*/
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class NoteListMatchingFilter(
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private val filter: Filter,
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@@ -114,7 +120,7 @@ class NoteListMatchingFilter(
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sorted.pollLast()?.let { byId.remove(it.note.idHex, it) }
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}
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update(sorted.map { it.note })
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update(snapshot())
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}
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override fun remove(note: Note) {
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@@ -127,7 +133,7 @@ class NoteListMatchingFilter(
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}
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null
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}
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if (removed) update(sorted.map { it.note })
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if (removed) update(snapshot())
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}
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fun init() {
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@@ -136,6 +142,14 @@ class NoteListMatchingFilter(
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atOnce(filter).forEach { note ->
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byId.computeIfAbsent(note.idHex) { entryFor(note).also { sorted.add(it) } }
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}
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update(sorted.map { it.note })
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update(snapshot())
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}
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private fun snapshot(): List<Note> {
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// Dedup by idHex: the weakly-consistent iterator can transiently surface a
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// key twice under concurrent churn. Keeping the first (newest position) is
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// correct — both nodes point at the same note.
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val seen = HashSet<HexKey>()
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return sorted.mapNotNull { e -> e.note.takeIf { seen.add(it.idHex) } }
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}
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}
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+203
@@ -0,0 +1,203 @@
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/*
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* Copyright (c) 2025 Vitor Pamplona
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy of
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* this software and associated documentation files (the "Software"), to deal in
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* the Software without restriction, including without limitation the rights to use,
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* copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the
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* Software, and to permit persons to whom the Software is furnished to do so,
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* subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
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* FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
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* COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN
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* AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
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* WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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*/
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package com.vitorpamplona.amethyst.commons.model.observables
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import com.vitorpamplona.amethyst.commons.model.AddressableNote
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import com.vitorpamplona.amethyst.commons.model.Note
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import com.vitorpamplona.quartz.nip01Core.core.Address
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import com.vitorpamplona.quartz.nip01Core.core.Event
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import com.vitorpamplona.quartz.nip01Core.relay.filters.Filter
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import com.vitorpamplona.quartz.nip89AppHandlers.definition.AppDefinitionEvent
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import com.vitorpamplona.quartz.utils.EventFactory
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import java.util.TreeSet
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import java.util.concurrent.CountDownLatch
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import java.util.concurrent.atomic.AtomicReference
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import kotlin.concurrent.thread
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import kotlin.test.Test
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import kotlin.test.assertEquals
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import kotlin.test.assertNull
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class EventListMatchingFilterTest {
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private val author = "d0d0a746b44c9de8422165aef520b1fe041eedf5794f7592505477eeac122c18"
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private val filter = Filter(kinds = listOf(AppDefinitionEvent.KIND))
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private fun noteFor(dTag: String) = AddressableNote(Address(AppDefinitionEvent.KIND, author, dTag))
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private fun appDefinition(
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dTag: String,
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createdAt: Long,
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): Event =
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EventFactory.create(
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// Unique per (dTag, createdAt): 8 hex of the dTag hash + 56 hex of createdAt,
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// so distinct addresses never collide on an event id.
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id = "%08x".format(dTag.hashCode()) + "%056x".format(createdAt),
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pubKey = author,
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createdAt = createdAt,
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kind = AppDefinitionEvent.KIND,
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tags = arrayOf(arrayOf("d", dTag)),
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content = "{}",
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sig = "00".repeat(64),
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)
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private fun AddressableNote.load(createdAt: Long): Event = appDefinition(dTag(), createdAt).also { this.event = it }
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private fun newFilter(
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withFilter: Filter = filter,
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sink: (List<Event>) -> Unit,
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) = EventListMatchingFilter<Event>(
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filter = withFilter,
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atOnce = { TreeSet(CreatedAtIdHexComparator) },
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update = sink,
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)
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@Test
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fun newerVersionReflectsUpdatedEventWithoutDuplicate() {
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var last: List<Event> = emptyList()
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val subject = newFilter { last = it }
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subject.init()
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// A crowd of app definitions, so a stale skip-set node could be bypassed.
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val target = noteFor("nostr-dvm-labeler")
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val other = noteFor("other-app")
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val top = noteFor("top-app")
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val v1 = target.load(1000)
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subject.new(v1, target)
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subject.new(other.load(2000), other)
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subject.new(top.load(4000), top)
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// Newer version replaces the event on the SAME instance, created_at 1000 -> 3000.
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val v2 = target.load(3000)
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subject.new(v2, target)
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// Exactly one entry for the target, and it is the NEW version (reflected + re-sorted).
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assertEquals(3, last.size, "no duplicate event for the updated addressable")
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assertEquals(1, last.count { it.id == v2.id }, "the updated addressable appears exactly once")
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assertEquals(0, last.count { it.id == v1.id }, "the old version is gone")
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}
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@Test
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fun listStaysSortedByCreatedAtDescending() {
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var last: List<Event> = emptyList()
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val subject = newFilter { last = it }
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subject.init()
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val a = noteFor("app-a")
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val b = noteFor("app-b")
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val c = noteFor("app-c")
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val ea = a.load(2000)
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subject.new(ea, a)
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val eb = b.load(4000)
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subject.new(eb, b)
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val ec = c.load(1000)
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subject.new(ec, c)
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assertEquals(listOf(eb.id, ea.id, ec.id), last.map { it.id })
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}
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@Test
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fun versionNoteReEmitsWhenAddressableIsListed() {
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val emissions = mutableListOf<List<Event>>()
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val subject = newFilter { emissions.add(it) }
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subject.init()
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val target = noteFor("nostr-dvm-labeler")
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val event = target.load(1000)
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subject.new(event, target)
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val countAfterInsert = emissions.size
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// The "version" note: a regular Note holding the addressable event.
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val versionNote = Note(event.id).apply { this.event = event }
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subject.new(event, versionNote)
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// It re-emits (addressable is listed) but never adds a second entry.
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assertEquals(countAfterInsert + 1, emissions.size, "version note triggers a re-emit")
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assertEquals(listOf(event.id), emissions.last().map { it.id })
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}
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@Test
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fun removeDropsTheEventEvenAfterCreatedAtChanged() {
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var last: List<Event> = emptyList()
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val subject = newFilter { last = it }
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subject.init()
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val target = noteFor("nostr-dvm-labeler")
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subject.new(target.load(1000), target)
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assertEquals(1, last.size)
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target.load(2000) // sort key moves before the delete arrives
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subject.remove(target)
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assertEquals(0, last.size, "remove finds the event despite the created_at change")
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}
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@Test
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fun concurrentUpdatesNeverEmitDuplicateEvents() {
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assertNoDuplicateUnderConcurrency(filter)
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}
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@Test
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fun concurrentUpdatesWithLimitNeverEmitDuplicateEvents() {
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assertNoDuplicateUnderConcurrency(Filter(kinds = listOf(AppDefinitionEvent.KIND), limit = 5))
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}
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private fun assertNoDuplicateUnderConcurrency(withFilter: Filter) {
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val firstViolation = AtomicReference<List<String>?>(null)
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val subject =
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newFilter(withFilter) { emitted ->
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val ids = emitted.map { it.id }
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if (ids.size != ids.toSet().size) {
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firstViolation.compareAndSet(null, ids)
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}
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}
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subject.init()
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val addresses = (0 until 12).map { "app-$it" }
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val notes = addresses.associateWith { noteFor(it) }
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val threadCount = 8
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val iterations = 5_000
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val start = CountDownLatch(1)
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val threads =
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(0 until threadCount).map { t ->
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thread {
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start.await()
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var seed = t * 31 + 7
|
||||
repeat(iterations) { i ->
|
||||
seed = seed * 1103515245 + 12345
|
||||
val note = notes.getValue(addresses[(seed ushr 16) % addresses.size])
|
||||
val event = note.load(1_000L + (i % 9))
|
||||
if ((seed ushr 8) % 3 == 0) {
|
||||
subject.remove(note)
|
||||
} else {
|
||||
subject.new(event, note)
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
start.countDown()
|
||||
threads.forEach { it.join() }
|
||||
|
||||
assertNull(firstViolation.get(), "an emission carried a duplicate event id: ${firstViolation.get()}")
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user