PerLevelDataLoaderDispatchStrategy and ExhaustedDataLoaderDispatchStrategy both maintain a ConcurrentHashMap<AlternativeCallContext, CallStack> field called alternativeCallContextMap.
  For each subscription event, SubscriptionExecutionStrategy.executeSubscriptionEvent() calls newSubscriptionExecution() which adds a new entry, but the entry is never removed after
  subscriptionEventCompletionDone() completes.

package com.opensea.materialization.services.graphqlapi.lib.execution

import graphql.ExecutionInput
import graphql.Profiler
import graphql.execution.CoercedVariables
import graphql.execution.ExecutionContextBuilder
import graphql.execution.ExecutionId
import graphql.execution.incremental.AlternativeCallContext
import graphql.execution.instrumentation.dataloader.PerLevelDataLoaderDispatchStrategy
import graphql.language.OperationDefinition
import graphql.parser.Parser
import graphql.schema.idl.RuntimeWiring
import graphql.schema.idl.SchemaGenerator
import graphql.schema.idl.SchemaParser
import io.kotest.matchers.shouldBe
import java.util.Locale
import java.util.concurrent.ConcurrentHashMap
import org.dataloader.DataLoaderRegistry
import org.junit.jupiter.api.Test

/**
 * Reproducer for a memory leak in graphql-java v25's PerLevelDataLoaderDispatchStrategy.
 *
 * Each subscription event adds a CallStack entry to an internal ConcurrentHashMap
 * (`alternativeCallContextMap`) via [newSubscriptionExecution], but the entry is never
 * removed after [subscriptionEventCompletionDone] completes. This causes unbounded heap
 * growth for long-lived subscriptions.
 *
 * The test calls the strategy methods exactly as SubscriptionExecutionStrategy does,
 * then inspects the map size via reflection.
 */
class SubscriptionDispatchStrategyLeakReproducerTest {

    @Test
    fun `alternativeCallContextMap grows by one entry per subscription event and is never cleaned up`() {
        val eventCount = 1_000
        val strategy = createStrategy()

        // Simulate what SubscriptionExecutionStrategy.executeSubscriptionEvent() does
        // for each subscription event: it creates a fresh AlternativeCallContext(1, 1),
        // calls newSubscriptionExecution, executes the selection set, then calls
        // subscriptionEventCompletionDone.
        for (i in 1..eventCount) {
            val callContext = AlternativeCallContext(1, 1)
            strategy.newSubscriptionExecution(callContext)
            strategy.subscriptionEventCompletionDone(callContext)
        }

        // Inspect the internal map via reflection
        val map = getAlternativeCallContextMap(strategy)

        // BUG: the map should be empty after all events complete, but it retains
        // every entry — one per subscription event. This is the memory leak.
        //
        // Expected (fixed): map.size == 0
        // Actual (bug):     map.size == eventCount
        println("alternativeCallContextMap.size after $eventCount events: ${map.size}")
        println("Expected: 0 (entries should be removed after completion)")
        println("Actual:   ${map.size} (leaked — never cleaned up)")

        map.size shouldBe eventCount // documents the bug
    }

    @Test
    fun `leak scales linearly - each event adds ~1 CallStack with internal ConcurrentHashMaps`() {
        val strategy = createStrategy()

        // Measure heap impact: each leaked CallStack contains multiple ConcurrentHashMaps
        // (stateForLevelMap, dispatchedLevels, chainedDLStack.stateMapPerLevel).
        val counts = listOf(100, 500, 1_000)
        var prevSize = 0

        for (count in counts) {
            for (i in prevSize until count) {
                val callContext = AlternativeCallContext(1, 1)
                strategy.newSubscriptionExecution(callContext)
                strategy.subscriptionEventCompletionDone(callContext)
            }
            val map = getAlternativeCallContextMap(strategy)
            println("After $count events: map.size = ${map.size}")
            map.size shouldBe count
            prevSize = count
        }
    }

    private fun createStrategy(): PerLevelDataLoaderDispatchStrategy {
        val sdl = "type Query { dummy: String }"
        val schema =
            SchemaGenerator()
                .makeExecutableSchema(
                    SchemaParser().parse(sdl),
                    RuntimeWiring.newRuntimeWiring()
                        .type("Query") { it.dataFetcher("dummy") { "ok" } }
                        .build(),
                )

        val document = Parser.parse("{ dummy }")
        val input =
            ExecutionInput.newExecutionInput()
                .query("{ dummy }")
                .dataLoaderRegistry(DataLoaderRegistry())
                .build()

        val executionContext =
            ExecutionContextBuilder.newExecutionContextBuilder()
                .executionId(ExecutionId.generate())
                .graphQLSchema(schema)
                .executionInput(input)
                .graphQLContext(input.graphQLContext)
                .dataLoaderRegistry(input.dataLoaderRegistry)
                .document(document)
                .operationDefinition(
                    document.definitions.first() as OperationDefinition
                )
                .coercedVariables(CoercedVariables.emptyVariables())
                .locale(Locale.getDefault())
                .profiler(Profiler.NO_OP)
                .build()

        return PerLevelDataLoaderDispatchStrategy(executionContext)
    }

    private fun getAlternativeCallContextMap(
        strategy: PerLevelDataLoaderDispatchStrategy,
    ): ConcurrentHashMap<*, *> {
        val field = strategy.javaClass.getDeclaredField("alternativeCallContextMap")
        field.isAccessible = true
        return field.get(strategy) as ConcurrentHashMap<*, *>
    }
}