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properties\asurface\10Layer+isDisposed\vLayer+width\fLayer+height\10Layer+properties\ 4\ 4\0\0\0\ 4-PaintDotNet.BitmapLayer+BitmapLayerProperties\ 2\0\0\0\13PaintDotNet.Surface\19\0\0\0\ 1\b\b!PaintDotNet.Layer+LayerProperties\ 2\0\0\0\ 2\0\0\0 \1a\0\0\0 \e\0\0\0\0\0\10\0\0\0 \0\0 \1c\0\0\0\ 1\15\0\0\0\14\0\0\0 \1d\0\0\0 \1e\0\0\0\0\0\10\0\0\0 \0\0 \1f\0\0\0\ 1\16\0\0\0\14\0\0\0 \0\0\0 !\0\0\0\0\0\10\0\0\0 \0\0 "\0\0\0\ 1\17\0\0\0\14\0\0\0 #\0\0\0 $\0\0\0\0\0\10\0\0\0 \0\0 %\0\0\0\ 1\18\0\0\0\14\0\0\0 &\0\0\0 '\0\0\0\0\0\10\0\0\0 \0\0 (\0\0\0\ 5\1a\0\0\0-PaintDotNet.BitmapLayer+BitmapLayerProperties\ 1\0\0\0\ablendOp\ 4&PaintDotNet.UserBlendOps+NormalBlendOp\ 2\0\0\0\ 2\0\0\0 )\0\0\0\ 5\e\0\0\0\13PaintDotNet.Surface\ 4\0\0\0\ 5width\ 6height\ 6stride\ 5scan0\0\0\0\ 4\b\b\b\17PaintDotNet.MemoryBlock\19\0\0\0\19\0\0\0\0\10\0\0\0 \0\0\0@\0\0 *\0\0\0\ 5\1c\0\0\0!PaintDotNet.Layer+LayerProperties\ 6\0\0\0\ 4name\11userMetadataItems\avisible\fisBackground\aopacity blendMode\ 1\ 3\0\0\0\ 4æ\ 1System.Collections.Generic.KeyValuePair`2[[System.String, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089],[System.String, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089]][]\ 1\ 1\ 2\1aPaintDotNet.LayerBlendMode\ 2\0\0\0\ 2\0\0\0\ 6+\0\0\0
-Background ,\0\0\0\ 1\ 1ÿ\ 5Óÿÿÿ\1aPaintDotNet.LayerBlendMode\ 1\0\0\0\avalue__\0\b\ 2\0\0\0\0\0\0\0\ 5\1d\0\0\0-PaintDotNet.BitmapLayer+BitmapLayerProperties\ 1\0\0\0\ablendOp\ 4)PaintDotNet.UserBlendOps+ColorBurnBlendOp\ 2\0\0\0\ 2\0\0\0 .\0\0\0\ 1\1e\0\0\0\e\0\0\0\0\10\0\0\0 \0\0\0@\0\0 /\0\0\0\ 1\1f\0\0\0\1c\0\0\0\ 60\0\0\0\aLayer 2 ,\0\0\0\ 1\0ÿ\ 1ÎÿÿÿÓÿÿÿ\ 3\0\0\0\ 5 \0\0\0-PaintDotNet.BitmapLayer+BitmapLayerProperties\ 1\0\0\0\ablendOp\ 4*PaintDotNet.UserBlendOps+ColorDodgeBlendOp\ 2\0\0\0\ 2\0\0\0 3\0\0\0\ 1!\0\0\0\e\0\0\0\0\10\0\0\0 \0\0\0@\0\0 4\0\0\0\ 1"\0\0\0\1c\0\0\0\ 65\0\0\0\aLayer 3 ,\0\0\0\ 1\0ÿ\ 1ÉÿÿÿÓÿÿÿ\ 4\0\0\0\ 5#\0\0\0-PaintDotNet.BitmapLayer+BitmapLayerProperties\ 1\0\0\0\ablendOp\ 4(PaintDotNet.UserBlendOps+AdditiveBlendOp\ 2\0\0\0\ 2\0\0\0 8\0\0\0\ 1$\0\0\0\e\0\0\0\0\10\0\0\0 \0\0\0@\0\0 9\0\0\0\ 1%\0\0\0\1c\0\0\0\ 6:\0\0\0\aLayer 4 ,\0\0\0\ 1\0ÿ\ 1ÄÿÿÿÓÿÿÿ\ 2\0\0\0\ 5&\0\0\0-PaintDotNet.BitmapLayer+BitmapLayerProperties\ 1\0\0\0\ablendOp\ 4'PaintDotNet.UserBlendOps+OverlayBlendOp\ 2\0\0\0\ 2\0\0\0 =\0\0\0\ 1'\0\0\0\e\0\0\0\0\10\0\0\0 \0\0\0@\0\0 >\0\0\0\ 1(\0\0\0\1c\0\0\0\ 6?\0\0\0\aLayer 5 ,\0\0\0\ 1\0ÿ\ 1¿ÿÿÿÓÿÿÿ\a\0\0\0\ 5)\0\0\0&PaintDotNet.UserBlendOps+NormalBlendOp\0\0\0\0\ 2\0\0\0\ 5*\0\0\0\17PaintDotNet.MemoryBlock\ 3\0\0\0\blength64 hasParent\bdeferred\0\0\0 \ 1\ 1\19\0\0\0\0\0@\ 2\0\0\0\0\0\ 1\a,\0\0\0\0\ 1\0\0\0\0\0\0\0\ 3ä\ 1System.Collections.Generic.KeyValuePair`2[[System.String, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089],[System.String, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089]]\ 5.\0\0\0)PaintDotNet.UserBlendOps+ColorBurnBlendOp\0\0\0\0\ 2\0\0\0\ 1/\0\0\0*\0\0\0\0\0@\ 2\0\0\0\0\0\ 1\ 53\0\0\0*PaintDotNet.UserBlendOps+ColorDodgeBlendOp\0\0\0\0\ 2\0\0\0\ 14\0\0\0*\0\0\0\0\0@\ 2\0\0\0\0\0\ 1\ 58\0\0\0(PaintDotNet.UserBlendOps+AdditiveBlendOp\0\0\0\0\ 2\0\0\0\ 19\0\0\0*\0\0\0\0\0@\ 2\0\0\0\0\0\ 1\ 5=\0\0\0'PaintDotNet.UserBlendOps+OverlayBlendOp\0\0\0\0\ 2\0\0\0\ 1>\0\0\0*\0\0\0\0\0@\ 2\0\0\0\0\0\ 1\v\0\0\ 4\0\0\0\0\0\0\0\0\ 5\1f\1f\8b\b\0\0\0\0\0\0
+Background ,\0\0\0\ 1\ 1ÿ\ 5Óÿÿÿ\1aPaintDotNet.LayerBlendMode\ 1\0\0\0\avalue__\0\b\ 2\0\0\0\0\0\0\0\ 5\1d\0\0\0-PaintDotNet.BitmapLayer+BitmapLayerProperties\ 1\0\0\0\ablendOp\ 4)PaintDotNet.UserBlendOps+ColorBurnBlendOp\ 2\0\0\0\ 2\0\0\0 .\0\0\0\ 1\1e\0\0\0\e\0\0\0\0\10\0\0\0 \0\0\0@\0\0 /\0\0\0\ 1\1f\0\0\0\1c\0\0\0\ 60\0\0\0\aLayer 2 ,\0\0\0\ 1\0ÿ\ 1ÎÿÿÿÓÿÿÿ\ 3\0\0\0\ 5 \0\0\0-PaintDotNet.BitmapLayer+BitmapLayerProperties\ 1\0\0\0\ablendOp\ 4*PaintDotNet.UserBlendOps+ColorDodgeBlendOp\ 2\0\0\0\ 2\0\0\0 3\0\0\0\ 1!\0\0\0\e\0\0\0\0\10\0\0\0 \0\0\0@\0\0 4\0\0\0\ 1"\0\0\0\1c\0\0\0\ 65\0\0\0\aLayer 3 ,\0\0\0\ 1\0ÿ\ 1ÉÿÿÿÓÿÿÿ\ 4\0\0\0\ 5#\0\0\0-PaintDotNet.BitmapLayer+BitmapLayerProperties\ 1\0\0\0\ablendOp\ 4&PaintDotNet.UserBlendOps+ScreenBlendOp\ 2\0\0\0\ 2\0\0\0 8\0\0\0\ 1$\0\0\0\e\0\0\0\0\10\0\0\0 \0\0\0@\0\0 9\0\0\0\ 1%\0\0\0\1c\0\0\0\ 6:\0\0\0\aLayer 4 ,\0\0\0\ 1\0ÿ\ 1ÄÿÿÿÓÿÿÿ\f\0\0\0\ 5&\0\0\0-PaintDotNet.BitmapLayer+BitmapLayerProperties\ 1\0\0\0\ablendOp\ 4'PaintDotNet.UserBlendOps+OverlayBlendOp\ 2\0\0\0\ 2\0\0\0 =\0\0\0\ 1'\0\0\0\e\0\0\0\0\10\0\0\0 \0\0\0@\0\0 >\0\0\0\ 1(\0\0\0\1c\0\0\0\ 6?\0\0\0\aLayer 5 ,\0\0\0\ 1\0ÿ\ 1¿ÿÿÿÓÿÿÿ\a\0\0\0\ 5)\0\0\0&PaintDotNet.UserBlendOps+NormalBlendOp\0\0\0\0\ 2\0\0\0\ 5*\0\0\0\17PaintDotNet.MemoryBlock\ 3\0\0\0\blength64 hasParent\bdeferred\0\0\0 \ 1\ 1\19\0\0\0\0\0@\ 2\0\0\0\0\0\ 1\a,\0\0\0\0\ 1\0\0\0\0\0\0\0\ 3ä\ 1System.Collections.Generic.KeyValuePair`2[[System.String, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089],[System.String, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089]]\ 5.\0\0\0)PaintDotNet.UserBlendOps+ColorBurnBlendOp\0\0\0\0\ 2\0\0\0\ 1/\0\0\0*\0\0\0\0\0@\ 2\0\0\0\0\0\ 1\ 53\0\0\0*PaintDotNet.UserBlendOps+ColorDodgeBlendOp\0\0\0\0\ 2\0\0\0\ 14\0\0\0*\0\0\0\0\0@\ 2\0\0\0\0\0\ 1\ 58\0\0\0&PaintDotNet.UserBlendOps+ScreenBlendOp\0\0\0\0\ 2\0\0\0\ 19\0\0\0*\0\0\0\0\0@\ 2\0\0\0\0\0\ 1\ 5=\0\0\0'PaintDotNet.UserBlendOps+OverlayBlendOp\0\0\0\0\ 2\0\0\0\ 1>\0\0\0*\0\0\0\0\0@\ 2\0\0\0\0\0\ 1\v\0\0\ 4\0\0\0\0\0\0\0\0\ 5\1f\1f\8b\b\0\0\0\0\0\0
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--- /dev/null
+# Star Cluster Programming Plan
+
+## Data
+
+* **StarCluster**
+ * (unique) host -> Admiral
+* **Admiral**
+ * inCluster -> StarCluster?
+ * invitedTo -> StarCluster[]
+ * owner -> User
+ * (unique) inCluster, owner
+ * No User may have multiple Admiral records in a single StarCluster
+
+## Actions
+
+*The following code is written in somewhat-pretentious SQL-looking pseudocode*
+
+* `Admiral.create(): StarCluster`
+ * Prereq: `THIS.inCluster IS null`
+ * Result: `CREATE StarCluster cluster(host: THIS); SET THIS.inCluster TO cluster`
+* `Admiral.invite(other: Admiral)`
+ * Prereq: `THIS.inCluster ISN'T NULL && THIS.inCluster.host IS THIS && other.inCluster IS NULL`
+ * Result: `INTO other.invitedTo INSERT THIS.inCluster`
+* `Admiral.acceptInvitation(cluster: StarCluster)`
+ * Prereq: `THIS.inCluster IS NULL && THIS.invitedTo HAS cluster`
+ * Result: `SET THIS.inCluster TO cluster && CLEAR THIS.invitedTo`
+* `Admiral.rejectInvitation(cluster: StarCluster)`
+ * Prereq: `THIS.invitedTo HAS cluster`
+ * Result: `FROM THIS.invitedTo REMOVE cluster`
+* `Admiral.kick(other: Admiral)`
+ * Prereq: `THIS.inCluster ISN'T NULL && THIS.inCluster.host IS THIS && other ISN'T THIS && other.inCluster IS THIS.inCluster`
+ * Result: `SET other.inCluster TO NULL`
+* `Admiral.makeHost(other: Admiral)`
+ * Prereq: `THIS.inCluster ISN'T NULL && THIS.inCluster.host IS THIS && other ISN'T THIS && other.inCluster IS THIS.inCluster`
+ * Result: `SET THIS.inCluster.host TO other`
+* `Admiral.quit()`
+ * Prereq: `THIS.inCluster ISN'T NULL && THIS.inCluster.host ISN'T THIS`
+ * Result: `SET THIS.inCluster TO NULL`
+* `Admiral.deleteCluster(cluster: StarCluster)`
+ * Prereq: `NO Admiral a EXISTS WHERE (a ISN'T THIS && a.inCluster IS cluster)`
+ * Result: `OBLITERATE cluster`
package net.starshipfights.campaign
import kotlinx.serialization.Serializable
+import net.starshipfights.game.Faction
import net.starshipfights.game.FactionFlavor
import kotlin.jvm.JvmInline
import kotlin.math.ceil
@Serializable
value class ClusterFactions private constructor(private val factions: Map<FactionFlavor, ClusterFactionMode>) {
init {
- require(factions.values.any { it != ClusterFactionMode.EXCLUDE }) { "Excluding all factions is a bad idea!" }
+ require(FactionFlavor.values().any { factions[it] != ClusterFactionMode.EXCLUDE }) { "Must not exclude all factions when creating star cluster" }
+ }
+
+ fun getModesForFaction(faction: Faction) = faction.allegiences.map { this[it] }.toSet()
+
+ fun canFitInto(size: ClusterSize) = factions.count { (_, mode) -> mode == ClusterFactionMode.REQUIRE } < size.maxStars * 2 / 5
+
+ fun <T : Comparable<T>> forceFitInto(size: ClusterSize, precedence: (FactionFlavor) -> T): ClusterFactions {
+ val canDemote = factions.filterValues { it == ClusterFactionMode.REQUIRE }.keys.sortedBy(precedence)
+ val mustDemote = (canDemote.size - size.maxStars * 2 / 5).coerceAtLeast(0)
+ return this + canDemote.take(mustDemote).associateWith { ClusterFactionMode.ALLOW }
}
operator fun get(factionFlavor: FactionFlavor) = factions[factionFlavor] ?: ClusterFactionMode.ALLOW
operator fun plus(other: ClusterFactions) = ClusterFactions(factions + other.factions)
+ private operator fun plus(otherFactions: Map<FactionFlavor, ClusterFactionMode>) = ClusterFactions(factions + otherFactions)
fun asGenerationSequence() = sequence {
- val required = factions.filterValues { it == ClusterFactionMode.REQUIRE }.keys
- val included = factions.filterValues { it != ClusterFactionMode.EXCLUDE }.keys
+ val required = FactionFlavor.values().filter { this@ClusterFactions[it] == ClusterFactionMode.REQUIRE }.toSet()
+ val included = FactionFlavor.values().filter { this@ClusterFactions[it] != ClusterFactionMode.EXCLUDE }.toSet()
// first, start with the required flavors
yieldAll(required.shuffled())
val Default: ClusterFactions
get() = ClusterFactions(FactionFlavor.values().associateWith { ClusterFactionMode.ALLOW })
- fun of(factions: Map<FactionFlavor, ClusterFactionMode>) = Default + ClusterFactions(factions)
+ fun of(factions: Map<FactionFlavor, ClusterFactionMode>) = Default + factions
}
}
@Serializable
data class GlobalShipController(val side: GlobalSide, val disambiguation: String) {
companion object {
- val Player1Disambiguation = "PLAYER 1"
- val Player2Disambiguation = "PLAYER 2"
+ const val Player1Disambiguation = "PLAYER 1"
+ const val Player2Disambiguation = "PLAYER 2"
}
}
var stencilZPass: StencilOp?
get() = definedExternally
set(value) = definedExternally
- var userData: Any?
+ var userData: dynamic
get() = definedExternally
set(value) = definedExternally
}
open var uuid: String
open var vertexColors: Boolean
open var visible: Boolean
- open var userData: Any
+ open var userData: dynamic
open var version: Number
open fun clone(): Material /* this */
open fun copy(material: Material): Material /* this */
}
}
+ // Game matchmaking popups
class ChooseAdmiralScreen(private val admirals: List<InGameAdmiral>) : Popup<InGameAdmiral>() {
override fun TagConsumer<*>.render(context: CoroutineContext, callback: (InGameAdmiral) -> Unit) {
if (admirals.isEmpty()) {
}
}
+ // Battle popups
+ class GameOver(private val winner: GlobalSide?, private val outcome: String, private val subplotStatuses: Map<SubplotKey, SubplotOutcome>, private val finalState: GameState) : Popup<Nothing>() {
+ override fun TagConsumer<*>.render(context: CoroutineContext, callback: (Nothing) -> Unit) {
+ p {
+ style = "text-align:center"
+
+ strong(classes = "heading") {
+ +"${victoryTitle(mySide, winner, subplotStatuses)}!"
+ }
+ }
+ p {
+ style = "text-align:center"
+
+ +outcome
+ }
+ p {
+ style = "text-align:center"
+
+ val admiralId = finalState.admiralInfo(mySide).id
+
+ a(href = "/admiral/${admiralId}") {
+ +"Exit Battle"
+ }
+ }
+ }
+ }
+
+ // Utility popups
class LoadingScreen<T>(private val loadingText: String, private val loadAction: suspend () -> T) : Popup<T>() {
override fun TagConsumer<*>.render(context: CoroutineContext, callback: (T) -> Unit) {
p {
}
}
}
-
- class GameOver(private val winner: GlobalSide?, private val outcome: String, private val subplotStatuses: Map<SubplotKey, SubplotOutcome>, private val finalState: GameState) : Popup<Nothing>() {
- override fun TagConsumer<*>.render(context: CoroutineContext, callback: (Nothing) -> Unit) {
- p {
- style = "text-align:center"
-
- strong(classes = "heading") {
- +"${victoryTitle(mySide, winner, subplotStatuses)}!"
- }
- }
- p {
- style = "text-align:center"
-
- +outcome
- }
- p {
- style = "text-align:center"
-
- val admiralId = finalState.admiralInfo(mySide).id
-
- a(href = "/admiral/${admiralId}") {
- +"Exit Battle"
- }
- }
- }
- }
}
call.getUserSession()?.let { sess ->
launch {
- val newTime = Instant.now().minusMillis(100)
+ val newTime = Instant.now()
UserSession.update(UserSession::id eq sess.id, setValue(UserSession::expiration, newTime))
}
}
val id = Id<UserSession>(call.parameters.getOrFail("id"))
call.getUserSession()?.let { sess ->
launch {
- val newTime = Instant.now().minusMillis(100)
+ val newTime = Instant.now()
UserSession.update(and(UserSession::id eq id, UserSession::user eq sess.user), setValue(UserSession::expiration, newTime))
}
}
call.getUserSession()?.let { sess ->
launch {
- val newTime = Instant.now().minusMillis(100)
+ val newTime = Instant.now()
UserSession.update(and(UserSession::user eq sess.user, UserSession::id ne sess.id), setValue(UserSession::expiration, newTime))
}
}
var throttle: suspend () -> Unit = ::`yield`
suspend fun generateCluster(): StarClusterView {
- return withTimeoutOrNull(10_000L) {
+ return coroutineScope {
val positionsAsync = async {
val rp = fixPositions(generatePositions().take(settings.size.maxStars).toList())
val p = indexPositions(rp)
systems = generateFleets(assignFactions(systems, warpLanes)),
lanes = warpLanes,
)
- } ?: generateCluster()
+ }
}
private fun generatePositions() = flow {
enum class AdmiralNameFlavor {
MECHYRDIA, TYLA, CALIBOR, OLYMPIA, // Mechyrdia-aligned
- DUTCH, // NdRC-aliged
+ DUTCH, NORSE, // NdRC-aliged
NORTHERN_DIADOCHI, SOUTHERN_DIADOCHI, // Masra Draetsen-aligned
FULKREYKK, // Isarnareykk-aligned
AMERICAN, HISPANIC_AMERICAN; // Vestigium-aligned
CALIBOR -> "Caliborese"
OLYMPIA -> "Olympian"
DUTCH -> "Dutch"
+ NORSE -> "Norse"
NORTHERN_DIADOCHI -> "Northern Diadochi"
SOUTHERN_DIADOCHI -> "Southern Diadochi"
FULKREYKK -> "Thedish"
FactionFlavor.MECHYRDIA -> setOf(MECHYRDIA, TYLA, DUTCH)
FactionFlavor.TYLA -> setOf(TYLA)
FactionFlavor.OLYMPIA -> setOf(OLYMPIA)
- FactionFlavor.TEXANDRIA -> setOf(MECHYRDIA, TYLA, DUTCH)
+ FactionFlavor.TEXANDRIA -> setOf(DUTCH, NORSE)
FactionFlavor.NDRC -> setOf(DUTCH)
- FactionFlavor.CCC -> setOf(MECHYRDIA, TYLA, DUTCH)
- FactionFlavor.MJOLNIR_ENERGY -> setOf(MECHYRDIA, TYLA, DUTCH)
+ FactionFlavor.CCC -> setOf(MECHYRDIA, TYLA, DUTCH, NORSE)
+ FactionFlavor.MJOLNIR_ENERGY -> setOf(DUTCH, NORSE)
FactionFlavor.MASRA_DRAETSEN -> setOf(CALIBOR, NORTHERN_DIADOCHI, SOUTHERN_DIADOCHI)
FactionFlavor.AEDON_CULTISTS -> setOf(NORTHERN_DIADOCHI, SOUTHERN_DIADOCHI)
private fun randomDutchName(isFemale: Boolean) = (if (isFemale) dutchFemaleNames else dutchMaleNames).random() + " van " + dutchMerchantHouses.random()
+ private val norseMaleNames = listOf(
+ "Arni" to "Arna",
+ "Biǫrn" to "Biarnar",
+ "Bragi" to "Braga",
+ "Egill" to "Egils",
+ "Eileifr" to "Eileifs",
+ "Eiríkr" to "Eiríks",
+ "Finnr" to "Finns",
+ "Fridthiófr" to "Fridthiófs",
+ "Fródi" to "Fróda",
+ "Geirr" to "Geirs",
+ "Gudbrandr" to "Gudbrands",
+ "Haraldr" to "Haralds",
+ "Hrólfr" to "Hrólfs",
+ "Hákon" to "Hákonar",
+ "Iátvardr" to "Iátvardar",
+ "Knútr" to "Knúts",
+ "Magnús" to "Magnúss",
+ "Ríkvidr" to "Ríkvidar",
+ "Sigurdr" to "Sigurdar",
+ "Sindri" to "Sindra",
+ "Sveinn" to "Sveins",
+ "Vidbiǫrn" to "Vidbiarnar",
+ "Óláfr" to "Óláfs",
+ "Thorsteinn" to "Thorsteins",
+ "Thórir" to "Thóris",
+ )
+
+ private val norseFemaleNames = listOf(
+ "Borghildr" to "Borghildar",
+ "Dagný" to "Dagnýiar",
+ "Grimhildr" to "Grimhildar",
+ "Gunnr" to "Gunnar",
+ "Gudrún" to "Gudrúnar",
+ "Helga" to "Helgu",
+ "Hreidunn" to "Hreidunnar",
+ "Inga" to "Ingu",
+ "Iórunn" to "Iórunnar",
+ "Ragnfridr" to "Ragnfridra",
+ "Ragnhildr" to "Ragnhildar",
+ "Signý" to "Signýiar",
+ "Áslaug" to "Áslaugar",
+ "Ástrídr" to "Ástrídra",
+ )
+
+ private fun norseFirstName(isFemale: Boolean) = (if (isFemale) norseFemaleNames else norseMaleNames).random().first
+
+ private fun norseLastName(isFemale: Boolean) = if (isFemale)
+ (norseMaleNames + norseFemaleNames).random().second + "dóttir"
+ else if (Random.nextDouble() < 0.01)
+ "Hǫldahamarr"
+ else norseMaleNames.random().second + "sonr"
+
+ private fun randomNorseName(isFemale: Boolean) = "${norseFirstName(isFemale)} ${norseLastName(isFemale)}"
+
private val diadochiMaleNames = listOf(
"Oqatai",
"Amogus",
AdmiralNameFlavor.CALIBOR -> randomCaliboreseName(isFemale)
AdmiralNameFlavor.OLYMPIA -> randomLatinName(isFemale)
AdmiralNameFlavor.DUTCH -> randomDutchName(isFemale)
+ AdmiralNameFlavor.NORSE -> randomNorseName(isFemale)
AdmiralNameFlavor.NORTHERN_DIADOCHI -> randomNorthernDiadochiName(isFemale)
AdmiralNameFlavor.SOUTHERN_DIADOCHI -> randomSouthernDiadochiName(isFemale)
AdmiralNameFlavor.FULKREYKK -> randomThedishName(isFemale)
package net.starshipfights.data.admiralty
+import com.github.jershell.kbson.NonEncodeNull
+import kotlinx.coroutines.async
+import kotlinx.coroutines.coroutineScope
import kotlinx.coroutines.flow.map
+import kotlinx.coroutines.flow.mapNotNull
import kotlinx.coroutines.flow.toList
import kotlinx.serialization.Contextual
import kotlinx.serialization.SerialName
import kotlinx.serialization.Serializable
+import net.starshipfights.campaign.CampaignMenuAdmiral
+import net.starshipfights.campaign.CampaignMenuAdmiralStatus
+import net.starshipfights.campaign.StarClusterMenuData
import net.starshipfights.data.DataDocument
import net.starshipfights.data.DocumentTable
import net.starshipfights.data.Id
val acumen: Int,
val money: Int,
+ val isOnline: Boolean = false,
+
+ @NonEncodeNull
val inCluster: Id<StarCluster>? = null,
val invitedToClusters: Set<Id<StarCluster>> = emptySet(),
- val requestedClusters: Set<Id<StarCluster>> = emptySet(),
) : DataDocument<Admiral> {
val rank: AdmiralRank
get() = AdmiralRank.fromAcumen(acumen)
index(Admiral::owningUser)
index(Admiral::inCluster)
index(Admiral::invitedToClusters)
- index(Admiral::requestedClusters)
+ uniqueIf(Admiral::inCluster.exists(), Admiral::owningUser, Admiral::inCluster)
})
}
+suspend fun lockAdmiral(admiralId: Id<Admiral>): Boolean {
+ val admiral = Admiral.get(admiralId) ?: return false
+ if (admiral.isOnline) return false
+
+ Admiral.set(admiralId, setValue(Admiral::isOnline, true))
+ return true
+}
+
+suspend fun unlockAdmiral(admiralId: Id<Admiral>) {
+ Admiral.set(admiralId, setValue(Admiral::isOnline, false))
+}
+
fun generateAIName(faction: Faction, isFemale: Boolean) = AdmiralNames.randomName(AdmiralNameFlavor.forFaction(faction).random(), isFemale)
fun generateAIAdmiral(faction: Faction, forBattleSize: BattleSize): Admiral {
})
}
-suspend fun getAllInGameAdmirals(user: User) = Admiral.filter(Admiral::owningUser eq user.id).map { admiral ->
+suspend fun getAllInGameAdmiralsForBattle(user: User) = Admiral.filter(and(Admiral::owningUser eq user.id, Admiral::inCluster eq null, Admiral::isOnline eq false)).map { admiral ->
InGameAdmiral(
admiral.id.reinterpret(),
InGameUser(user.id.reinterpret(), user.profileName),
getInGameAdmiral(admiral)
}
+suspend fun getInGameAdmiralsInCluster(clusterId: Id<StarCluster>) = coroutineScope {
+ Admiral.filter(Admiral::inCluster eq clusterId).map { admiral ->
+ async {
+ User.get(admiral.owningUser)?.let { user ->
+ InGameAdmiral(
+ admiral.id.reinterpret(),
+ InGameUser(user.id.reinterpret(), user.profileName),
+ admiral.name,
+ admiral.isFemale,
+ admiral.faction,
+ admiral.rank
+ )
+ }
+ }
+ }.mapNotNull { it.await() }.toList()
+}
+
+suspend fun getInGameAdmiralsInvitedToCluster(clusterId: Id<StarCluster>) = coroutineScope {
+ Admiral.filter(Admiral::invitedToClusters contains clusterId).map { admiral ->
+ async {
+ User.get(admiral.owningUser)?.let { user ->
+ InGameAdmiral(
+ admiral.id.reinterpret(),
+ InGameUser(user.id.reinterpret(), user.profileName),
+ admiral.name,
+ admiral.isFemale,
+ admiral.faction,
+ admiral.rank
+ )
+ }
+ }
+ }.mapNotNull { it.await() }.toList()
+}
+
+suspend fun getAllInGameAdmiralsForCampaignInvite(user: User) = Admiral.filter(and(Admiral::owningUser eq user.id, Admiral::inCluster eq null)).map { admiral ->
+ InGameAdmiral(
+ admiral.id.reinterpret(),
+ InGameUser(user.id.reinterpret(), user.profileName),
+ admiral.name,
+ admiral.isFemale,
+ admiral.faction,
+ admiral.rank
+ )
+}.toList()
+
+suspend fun getClusterMenuData(clusterId: Id<StarCluster>) = StarCluster.get(clusterId)?.let { cluster ->
+ StarClusterMenuData(
+ cluster.id.reinterpret(),
+ getInGameAdmiralsInCluster(cluster.id),
+ cluster.host.reinterpret(),
+ getInGameAdmiralsInvitedToCluster(cluster.id)
+ )
+}
+
+suspend fun getCampaignMenuAdmirals(user: User) = Admiral.filter(and(Admiral::owningUser eq user.id, Admiral::isOnline eq false)).map { admiral ->
+ CampaignMenuAdmiral(
+ InGameAdmiral(
+ admiral.id.reinterpret(),
+ InGameUser(user.id.reinterpret(), user.profileName),
+ admiral.name,
+ admiral.isFemale,
+ admiral.faction,
+ admiral.rank
+ ),
+ admiral.inCluster?.let { getClusterMenuData(it) }?.let { clusterMenuData ->
+ CampaignMenuAdmiralStatus.InCluster(clusterMenuData)
+ } ?: CampaignMenuAdmiralStatus.NotInCluster(
+ coroutineScope {
+ admiral.invitedToClusters
+ .map { async { getClusterMenuData(it) } }
+ .mapNotNull { it.await() }
+ .toSet()
+ }
+ )
+ )
+}.toList()
+
suspend fun getAdmiralsShips(admiralId: Id<Admiral>): Map<Id<Ship>, Ship> {
val now = Instant.now()
}.orEmpty()
}
.let { shipTypes ->
- val now = Instant.now().minusMillis(100L)
+ val now = Instant.now()
val shipNames = mutableSetOf<String>()
shipTypes.mapNotNull { st ->
val showUserStatus: Boolean,
val logIpAddresses: Boolean,
-
- val status: UserStatus = UserStatus.AVAILABLE,
) : DataDocument<User> {
val discordAvatarUrl: String
get() = discordAvatar?.takeIf { showDiscordName }?.let {
interface DocumentTable<T : DataDocument<T>> {
fun initialize()
- suspend fun index(property: KProperty1<T, *>)
- suspend fun unique(property: KProperty1<T, *>)
+ suspend fun index(vararg properties: KProperty1<T, *>)
+ suspend fun unique(vararg properties: KProperty1<T, *>)
+ suspend fun indexIf(condition: Bson, vararg properties: KProperty1<T, *>)
+ suspend fun uniqueIf(condition: Bson, vararg properties: KProperty1<T, *>)
suspend fun put(doc: T)
suspend fun put(docs: Iterable<T>)
initFunc(this)
}
- override suspend fun index(property: KProperty1<T, *>) {
- collection().ensureIndex(property)
+ override suspend fun index(vararg properties: KProperty1<T, *>) {
+ collection().ensureIndex(*properties)
}
- override suspend fun unique(property: KProperty1<T, *>) {
- collection().ensureUniqueIndex(property, indexOptions = IndexOptions().partialFilterExpression(property.exists()))
+ override suspend fun unique(vararg properties: KProperty1<T, *>) {
+ collection().ensureUniqueIndex(*properties)
+ }
+
+ override suspend fun indexIf(condition: Bson, vararg properties: KProperty1<T, *>) {
+ collection().ensureIndex(*properties, indexOptions = IndexOptions().partialFilterExpression(condition))
+ }
+
+ override suspend fun uniqueIf(condition: Bson, vararg properties: KProperty1<T, *>) {
+ collection().ensureUniqueIndex(*properties, indexOptions = IndexOptions().partialFilterExpression(condition))
}
override suspend fun put(doc: T) {
import kotlinx.coroutines.coroutineScope
import kotlinx.coroutines.flow.map
import kotlinx.coroutines.flow.mapNotNull
+import kotlinx.coroutines.flow.singleOrNull
import kotlinx.coroutines.flow.toList
import kotlinx.coroutines.launch
import kotlinx.serialization.Serializable
import net.starshipfights.game.FactionFlavor
import net.starshipfights.game.Position
import net.starshipfights.game.Ship
-import org.litote.kmongo.eq
-import org.litote.kmongo.setValue
+import org.litote.kmongo.*
+import java.time.Instant
@Serializable
data class StarCluster(
val background: StarClusterBackground,
val lanes: Set<WarpLane>
) : DataDocument<StarCluster> {
- companion object Table : DocumentTable<StarCluster> by DocumentTable.create()
+ companion object Table : DocumentTable<StarCluster> by DocumentTable.create({
+ unique(StarCluster::host)
+ })
}
@Serializable
) : DataDocument<ClusterFleetPresence> {
companion object Table : DocumentTable<ClusterFleetPresence> by DocumentTable.create({
index(ClusterFleetPresence::starSystemId)
+
+ val admiralIdProp = ClusterFleetPresence::fleetPresence / FleetPresenceData.Player::admiralId
+ uniqueIf(admiralIdProp.exists(), admiralIdProp)
})
}
) : FleetPresenceData()
}
-suspend fun getCampaignStatus(admiral: Admiral, clusterId: Id<StarCluster>): CampaignAdmiralStatus? {
- val cluster = StarCluster.get(clusterId) ?: return null
-
- admiral.inCluster?.let { inCluster ->
- if (inCluster == clusterId) {
- return if (cluster.host == admiral.id)
- CampaignAdmiralStatus.HOST
- else
- CampaignAdmiralStatus.MEMBER
- } else if (cluster.host == admiral.id) {
- Admiral.set(admiral.id, setValue(Admiral::inCluster, clusterId))
- return CampaignAdmiralStatus.HOST
- }
- }
-
- return if (clusterId in admiral.invitedToClusters)
- CampaignAdmiralStatus.INVITED
- else null
+suspend fun getFleetPresenceOf(admiralId: Id<Admiral>): ClusterFleetPresence? {
+ return ClusterFleetPresence.filter(
+ (ClusterFleetPresence::fleetPresence / FleetPresenceData.Player::admiralId) eq admiralId
+ ).singleOrNull()
}
-suspend fun FleetPresenceData.resolve(inCluster: Id<StarCluster>): FleetPresence? {
+suspend fun FleetPresenceData.resolve(): FleetPresence? {
+ val now = Instant.now()
return when (this) {
is FleetPresenceData.NPC -> FleetPresence(
name = name,
is FleetPresenceData.Player -> {
val (admiral, ships) = coroutineScope {
val admiralAsync = async { Admiral.get(admiralId) }
- val shipsAsync = async { ShipInDrydock.filter(ShipInDrydock::owningAdmiral eq admiralId).toList() }
+ val shipsAsync = async {
+ ShipInDrydock.filter(
+ and(ShipInDrydock::owningAdmiral eq admiralId, ShipInDrydock::readyAt lte now)
+ ).toList()
+ }
admiralAsync.await() to shipsAsync.await()
}
admiral ?: return null
- val inGameAdmiral = getInGameAdmiral(admiral) ?: return null
- val campaignStatus = getCampaignStatus(admiral, inCluster) ?: return null
FleetPresence(
name = "Fleet of ${admiral.fullName}",
ships = ships.associate { inDrydock ->
inDrydock.id.reinterpret<Ship>() to inDrydock.shipData
},
- admiral = FleetPresenceAdmiral.Player(
- CampaignAdmiral(inGameAdmiral, campaignStatus)
- )
+ admiral = FleetPresenceAdmiral.Player(admiral.id.reinterpret())
)
}
}
}
-suspend fun deleteCluster(clusterId: Id<StarCluster>) {
+suspend fun deleteCluster(clusterViewId: Id<StarClusterView>) {
+ val clusterId = clusterViewId.reinterpret<StarCluster>()
+
coroutineScope {
launch { StarCluster.del(clusterId) }
launch {
}
}
}
+ launch {
+ Admiral.update(Admiral::inCluster eq clusterId, unset(Admiral::inCluster))
+ }
+ launch {
+ Admiral.update(Admiral::invitedToClusters contains clusterId, pull(Admiral::invitedToClusters, clusterId))
+ }
}
}
-suspend fun createCluster(clusterView: StarClusterView, forAdmiral: Id<Admiral>): Id<StarCluster> {
+suspend fun createCluster(clusterView: StarClusterView, forHost: Id<Admiral>): Id<StarClusterView> {
val cluster = StarCluster(
id = Id(),
- host = forAdmiral,
+ host = forHost,
background = clusterView.background,
lanes = clusterView.lanes
)
admiral = admiral
)
is FleetPresenceAdmiral.Player -> FleetPresenceData.Player(
- admiral.admiral.admiral.id.reinterpret()
+ admiral.id.reinterpret()
)
}
)
}
}
- return cluster.id
+ return cluster.id.reinterpret()
}
-suspend fun viewCluster(clusterId: Id<StarCluster>): StarClusterView? {
+suspend fun viewCluster(clusterViewId: Id<StarClusterView>): StarClusterView? {
+ val clusterId = clusterViewId.reinterpret<StarCluster>()
+
return coroutineScope {
val clusterAsync = async { StarCluster.get(clusterId) }
val systemsAsync = async {
val fleetsAsync = async {
ClusterFleetPresence.filter(ClusterFleetPresence::starSystemId eq cSystem.id).map { fleet ->
async {
- fleet.fleetPresence.resolve(clusterId)?.let { fleet.id.reinterpret<FleetPresence>() to it }
+ fleet.fleetPresence.resolve()?.let { fleet.id.reinterpret<FleetPresence>() to it }
}
}.mapNotNull { it.await() }.toList().toMap()
}
)
}
}
+
+suspend fun viewAdmiralsInCluster(clusterViewId: Id<StarClusterView>): List<CampaignAdmiral> {
+ val cluster = StarCluster.get(clusterViewId.reinterpret()) ?: return emptyList()
+
+ val (host, members, invitees) = coroutineScope {
+ val hostAsync = async {
+ listOfNotNull(getInGameAdmiral(cluster.host.reinterpret()))
+ }
+
+ val membersAsync = async {
+ Admiral.filter(and(Admiral::inCluster eq clusterViewId.reinterpret(), Admiral::id ne cluster.host))
+ .map { async { getInGameAdmiral(it) } }
+ .mapNotNull { it.await() }
+ .toList()
+ }
+
+ val inviteesAsync = async {
+ Admiral.filter(Admiral::invitedToClusters contains clusterViewId.reinterpret())
+ .map { async { getInGameAdmiral(it) } }
+ .mapNotNull { it.await() }
+ .toList()
+ }
+
+ Triple(hostAsync.await(), membersAsync.await(), inviteesAsync.await())
+ }
+
+ return host.map {
+ CampaignAdmiral(it, CampaignAdmiralStatus.HOST)
+ } + members.map {
+ CampaignAdmiral(it, CampaignAdmiralStatus.MEMBER)
+ } + invitees.map {
+ CampaignAdmiral(it, CampaignAdmiralStatus.INVITED)
+ }
+}
"Dalet",
"Heh",
"Waw",
- "Zayin",
+ "Dzayin",
"H'et",
"T'et",
"Yod",
"Lamed",
"Mem",
"Nun",
- "Samek",
+ "Tsamek",
"Ayin",
"Peh",
- "S'adeh",
+ "Ts'adeh",
"Qop",
"Resh",
"Shin",
import io.ktor.routing.*
import io.ktor.websocket.*
import kotlinx.coroutines.delay
-import kotlinx.coroutines.launch
import net.starshipfights.auth.getUser
-import net.starshipfights.data.DocumentTable
-import net.starshipfights.data.admiralty.getAllInGameAdmirals
-import net.starshipfights.data.auth.User
-import net.starshipfights.data.auth.UserStatus
+import net.starshipfights.data.admiralty.getAllInGameAdmiralsForBattle
import net.starshipfights.redirect
-import org.litote.kmongo.setValue
fun Routing.installGame() {
get("/lobby") {
val user = call.getUser() ?: redirect("/login")
- val clientMode = if (user.status == UserStatus.AVAILABLE)
- ClientMode.MatchmakingMenu(getAllInGameAdmirals(user))
- else
- ClientMode.Error("You cannot play in multiple battles at the same time")
+ val clientMode = ClientMode.MatchmakingMenu(getAllInGameAdmiralsForBattle(user))
call.respondHtml(HttpStatusCode.OK, clientMode.view())
}
post("/play") {
delay(750L) // nasty hack
- val user = call.getUser() ?: redirect("/login")
-
- val clientMode = when (user.status) {
- UserStatus.AVAILABLE -> ClientMode.Error("You must use the matchmaking interface to enter a game")
- UserStatus.IN_MATCHMAKING -> ClientMode.Error("You must start a game in the matchmaking interface")
- UserStatus.READY_FOR_BATTLE -> call.getGameClientMode()
- UserStatus.IN_BATTLE -> ClientMode.Error("You cannot play in multiple battles at the same time")
- }
+ val clientMode = call.getGameClientMode()
call.respondHtml(HttpStatusCode.OK, clientMode.view())
}
}
webSocket("/matchmaking") {
- val oldUser = call.getUser() ?: closeAndReturn("You must be logged in to play") { return@webSocket }
- if (oldUser.status != UserStatus.AVAILABLE)
- closeAndReturn("You cannot play in multiple battles at the same time") { return@webSocket }
-
- val user = oldUser.copy(status = UserStatus.IN_MATCHMAKING)
- User.put(user)
-
- closeReason.invokeOnCompletion {
- DocumentTable.launch {
- delay(150L)
- if (User.get(user.id)?.status == UserStatus.IN_MATCHMAKING)
- User.set(user.id, setValue(User::status, UserStatus.AVAILABLE))
- }
- }
+ val user = call.getUser() ?: closeAndReturn("You must be logged in to play") { return@webSocket }
- if (matchmakingEndpoint(user))
- User.set(user.id, setValue(User::status, UserStatus.READY_FOR_BATTLE))
+ matchmakingEndpoint(user)
}
webSocket("/game/{token}") {
val token = call.parameters["token"] ?: closeAndReturn("Invalid or missing battle token") { return@webSocket }
- val oldUser = call.getUser() ?: closeAndReturn("You must be logged in to play") { return@webSocket }
-
- if (oldUser.status == UserStatus.IN_BATTLE)
- closeAndReturn("You cannot play in multiple battles at the same time") { return@webSocket }
- if (oldUser.status == UserStatus.IN_MATCHMAKING)
- closeAndReturn("You must start a game in the matchmaking interface") { return@webSocket }
- if (oldUser.status == UserStatus.AVAILABLE)
- closeAndReturn("You must use the matchmaking interface to enter a game") { return@webSocket }
-
- val user = oldUser.copy(status = UserStatus.IN_BATTLE)
- User.put(user)
-
- closeReason.invokeOnCompletion {
- DocumentTable.launch {
- User.set(user.id, setValue(User::status, UserStatus.AVAILABLE))
- }
- }
+ val user = call.getUser() ?: closeAndReturn("You must be logged in to play") { return@webSocket }
gameEndpoint(user, token)
}
import net.starshipfights.admin.announcements
import net.starshipfights.data.DocumentTable
import net.starshipfights.data.Id
-import net.starshipfights.data.admiralty.Admiral
-import net.starshipfights.data.admiralty.BattleRecord
-import net.starshipfights.data.admiralty.ShipInDrydock
-import net.starshipfights.data.admiralty.ShipMemorial
+import net.starshipfights.data.admiralty.*
import net.starshipfights.data.auth.User
import net.starshipfights.data.createToken
import net.starshipfights.game.ai.AISession
val endedAt = Instant.now()
on1v1GameEnd(session.state.value, end, startedAt, endedAt)
+
+ unlockAdmiral(hostInfo.id.reinterpret())
+ unlockAdmiral(guestInfo.id.reinterpret())
}
val hostId = createToken()
aiJob.cancel()
on2v1GameEnd(session.state.value, end, startedAt, endedAt)
+
+ unlockAdmiral(hostInfo.id.reinterpret())
+ unlockAdmiral(guestInfo.id.reinterpret())
}
val hostId = createToken()
import kotlinx.coroutines.channels.ClosedSendChannelException
import kotlinx.coroutines.launch
import net.starshipfights.data.admiralty.getInGameAdmiral
+import net.starshipfights.data.admiralty.lockAdmiral
+import net.starshipfights.data.admiralty.unlockAdmiral
import net.starshipfights.data.auth.User
private val open1v1Sessions = ConcurrentCurator(mutableListOf<Host1v1Invitation>())
val gameIdHandler = CompletableDeferred<String>()
}
-suspend fun DefaultWebSocketServerSession.matchmakingEndpoint(user: User): Boolean {
- val playerLogin = receiveObject(PlayerLogin.serializer()) { closeAndReturn { return false } }
+suspend fun DefaultWebSocketServerSession.matchmakingEndpoint(user: User) {
+ val playerLogin = receiveObject(PlayerLogin.serializer()) { closeAndReturn { return } }
val admiralId = playerLogin.admiral
- val inGameAdmiral = getInGameAdmiral(admiralId) ?: closeAndReturn("That admiral does not exist") { return false }
- if (inGameAdmiral.user.id != user.id) closeAndReturn("You do not own that admiral") { return false }
+ val inGameAdmiral = getInGameAdmiral(admiralId) ?: closeAndReturn("That admiral does not exist") { return }
+ if (inGameAdmiral.user.id != user.id.reinterpret<InGameUser>()) closeAndReturn("You do not own that admiral") { return }
+
+ if (!lockAdmiral(admiralId.reinterpret()))
+ closeAndReturn("That admiral is not available") { return }
when (val loginMode = playerLogin.login) {
is LoginMode.Train -> {
- closeAndReturn("Invalid input: LoginMode.Train should redirect you directly to training endpoint") { return false }
+ closeAndReturn("Invalid input: LoginMode.Train should redirect you directly to training endpoint") { return unlockAdmiral(admiralId.reinterpret()) }
}
is LoginMode.Host1v1 -> {
val battleInfo = loginMode.battleInfo
@OptIn(DelicateCoroutinesApi::class)
GlobalScope.launch {
+ unlockAdmiral(admiralId.reinterpret())
+
open1v1Sessions.use {
it.remove(hostInvitation)
}
val joinResponse = receiveObject(JoinResponse.serializer()) {
closeAndReturn {
joinInvitation.responseHandler.complete(JoinResponse(false))
- return false
+ return unlockAdmiral(admiralId.reinterpret())
}
}
val joinListing = JoinListing(openGames.mapValues { (_, invitation) -> invitation.joinable })
sendObject(JoinListing.serializer(), joinListing)
- val joinSelection = receiveObject(JoinSelection.serializer()) { closeAndReturn { return false } }
+ val joinSelection = receiveObject(JoinSelection.serializer()) { closeAndReturn { return unlockAdmiral(admiralId.reinterpret()) } }
val hostInvitation = openGames.getValue(joinSelection.selectedId)
val joinResponseHandler = CompletableDeferred<JoinResponse>()
val joinInvitation = Join1v1Invitation(joinRequest, joinResponseHandler)
closeReason.invokeOnCompletion {
joinResponseHandler.cancel()
+
+ @OptIn(DelicateCoroutinesApi::class)
+ GlobalScope.launch {
+ unlockAdmiral(admiralId.reinterpret())
+ }
}
try {
@OptIn(DelicateCoroutinesApi::class)
GlobalScope.launch {
+ unlockAdmiral(admiralId.reinterpret())
+
open2v1Sessions.use {
it.remove(hostInvitation)
}
val joinResponse = receiveObject(JoinResponse.serializer()) {
closeAndReturn {
joinInvitation.responseHandler.complete(JoinResponse(false))
- return false
+ return unlockAdmiral(admiralId.reinterpret())
}
}
val joinListing = JoinListing(openGames.mapValues { (_, invitation) -> invitation.joinable })
sendObject(JoinListing.serializer(), joinListing)
- val joinSelection = receiveObject(JoinSelection.serializer()) { closeAndReturn { return false } }
+ val joinSelection = receiveObject(JoinSelection.serializer()) { closeAndReturn { return unlockAdmiral(admiralId.reinterpret()) } }
val hostInvitation = openGames.getValue(joinSelection.selectedId)
val joinResponseHandler = CompletableDeferred<JoinResponse>()
val joinInvitation = Join2v1Invitation(joinRequest, joinResponseHandler)
closeReason.invokeOnCompletion {
joinResponseHandler.cancel()
+
+ @OptIn(DelicateCoroutinesApi::class)
+ GlobalScope.launch {
+ unlockAdmiral(admiralId.reinterpret())
+ }
}
try {
}
}
}
-
- return true
}
import kotlinx.html.*
import net.starshipfights.data.auth.User
-import net.starshipfights.data.auth.UserStatus
import net.starshipfights.data.auth.getTrophies
import net.starshipfights.data.auth.renderTrophy
import net.starshipfights.game.ShipType
if (user.showUserStatus) {
p {
style = "text-align:center"
- +when (user.status) {
- UserStatus.IN_BATTLE -> "In Battle"
- UserStatus.READY_FOR_BATTLE -> "In Battle"
- UserStatus.IN_MATCHMAKING -> "In Matchmaking"
- UserStatus.AVAILABLE -> if (hasOpenSessions) "Online" else "Offline"
- }
+ +if (hasOpenSessions) "Online" else "Offline"
}
p {
style = "text-align:center"
const chosenClass = setSomeButton.getAttribute("data-enable-class");
const factionChoices = document.getElementsByClassName("faction-choice");
for (const factionChoice of factionChoices) {
- if (factionChoice.classList.contains(filterClass))
+ if (factionChoice.classList.contains(filterClass)) {
factionChoice.checked = factionChoice.classList.contains(chosenClass);
+ }
}
};
}
projects / starship-fights / commitdiff
