From 61bd968e8d6c1b6fcb4817f973a84946fc4ad8e1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=88=9A=E5=AE=8F=E6=88=90?= Date: Wed, 26 Aug 2026 10:27:49 +0800 Subject: [PATCH 1/2] [ISSUE-844] fix(ai): invalidate an embedding vector when its text changes EmbeddingIndexStore keyed each persisted vector by the entity key, which is a prefix, the id and the label, with nothing derived from the value that was embedded. initStore treated the presence of that key as "this entity is indexed", so an entity that kept its id and changed its value silently kept the vector of the value it no longer had. Retrieval for the old value still reached the entity while its current value was unreachable, and since the subgraph handed on is verbalized from the current graph, a query about the old value came back with a context showing the new one. A record now carries a fingerprint of the text it was produced from, a new contentHash field on EmbeddingResult holding SHA-256 over the entity's chunk list. On rebuild a record is loaded only when that fingerprint matches what the entity would be embedded from now; a mismatch counts as not indexed, so the entity is embedded again. Both paths derive the chunk list through one method, so the text hashed on the way in is the text hashed on the way out, which takes verbalize(GraphEntity) to be a function of the entity alone. The number of records dropped is logged, since the complaint in the issue is not only that the vector was stale but that nothing said so. Existing index files. A record without a fingerprint cannot be shown to match the current value, and trusting it would keep exactly the staleness this check is for, so it is not loaded and its entity is embedded once. That is one of the two treatments the issue put up for decision, taken because the other one, valid until the entity is next touched, never comes due: nothing touches such a record. The file is still only appended to, and the second half of the issue is scoped as the issue itself suggests. A superseded record stays in the file and is rejected on each later read, so the file grows by one record set per distinct value an entity has held, and a value that comes back is served from the record already there without a request. The records of deleted entities also stay. Pruning that history wants a rewrite rather than an append, which the issue puts down as separate work, better done as compaction. The harm named there does not wait for it: an id taken over by another entity no longer adopts the vector left behind, because that vector's fingerprint does not match the new text. EmbeddingIndexInvalidationTest drives the store against a local embeddings endpoint answering with one hot vectors, one dimension per distinct text, so a stored vector says which text produced it. Six cases: a changed value on a vertex and on an edge, recall through GraphMemoryServer going the right way on both the old and the current value, an id taken over by another entity, a value that comes back, and a record without a fingerprint. Each fails against the behaviour it pins. The unchanged run asserts the file is byte identical, which is what would catch a fingerprint computed differently on the two paths. GraphMemoryTest no longer loads an embedding store from a checked in index file, and that file is removed. It could not be carried over: its records line up with the text the current code would embed for only 14 of its 163 entities, the rest disagreeing on chunk count, so there was nothing honest to stamp them with and no way to embed them again offline. It also could not have affected a single assertion, since every query there embeds to double[0] through MockChatRobot and EmbeddingVector.match returns 0.0 on a length mismatch, below the 0.5 threshold. Its assertions come from the keyword path and are unchanged; the store's load path is now covered deliberately by the new test. Not addressed here. The fingerprint covers the text only, so changing the embedding model or its dimension leaves every record loaded, which is the same class of staleness; which properties of a model identify it is a separate decision. And a record set short of a chunk still matches on every record it has, so an entity can be held with part of its vectors, as it could before, since a fingerprint covers all of an entity's chunks at once and carries no ordinal. --- .../ai/common/model/EmbeddingService.java | 7 + .../geaflow/ai/common/model/ModelUtils.java | 36 ++ .../geaflow/ai/index/EmbeddingIndexStore.java | 74 ++- .../apache/geaflow/ai/GraphMemoryTest.java | 16 +- .../index/EmbeddingIndexInvalidationTest.java | 434 ++++++++++++++++++ .../resources/index/LDBCEmbeddingIndexStore | 362 --------------- 6 files changed, 547 insertions(+), 382 deletions(-) create mode 100644 geaflow-ai/src/test/java/org/apache/geaflow/ai/index/EmbeddingIndexInvalidationTest.java delete mode 100644 geaflow-ai/src/test/resources/index/LDBCEmbeddingIndexStore diff --git a/geaflow-ai/src/main/java/org/apache/geaflow/ai/common/model/EmbeddingService.java b/geaflow-ai/src/main/java/org/apache/geaflow/ai/common/model/EmbeddingService.java index 2ad134762..321203139 100644 --- a/geaflow-ai/src/main/java/org/apache/geaflow/ai/common/model/EmbeddingService.java +++ b/geaflow-ai/src/main/java/org/apache/geaflow/ai/common/model/EmbeddingService.java @@ -50,6 +50,13 @@ public String embedding(String... inputs) { public static class EmbeddingResult { public String input; public double[] embedding; + /** + * Fingerprint of the text this vector was produced from, see + * {@link ModelUtils#getEmbeddedTextFingerprint}. It is set by whoever persists the result, + * so it is null on a result fresh from the model, and null on a record read from an index + * file written before the field existed. + */ + public String contentHash; public EmbeddingResult(String input, double[] embedding) { this.input = input; diff --git a/geaflow-ai/src/main/java/org/apache/geaflow/ai/common/model/ModelUtils.java b/geaflow-ai/src/main/java/org/apache/geaflow/ai/common/model/ModelUtils.java index 91a27d5e7..f24fbb6a3 100644 --- a/geaflow-ai/src/main/java/org/apache/geaflow/ai/common/model/ModelUtils.java +++ b/geaflow-ai/src/main/java/org/apache/geaflow/ai/common/model/ModelUtils.java @@ -19,6 +19,9 @@ package org.apache.geaflow.ai.common.model; +import java.nio.charset.StandardCharsets; +import java.security.MessageDigest; +import java.security.NoSuchAlgorithmException; import java.util.ArrayList; import java.util.List; import org.apache.geaflow.ai.common.config.Constants; @@ -28,6 +31,8 @@ public class ModelUtils { + private static final char[] HEX = "0123456789abcdef".toCharArray(); + public static List splitLongText(int maxChunkSize, String... textList) { List chunks = new ArrayList<>(); for (String text : textList) { @@ -39,6 +44,37 @@ public static List splitLongText(int maxChunkSize, String... textList) { return chunks; } + /** + * A fingerprint of the text that was handed to the embedding model, so that a stored vector can + * later be told apart from one produced by a different text. The entity key alone cannot do + * this: it is derived from the id and the label, and stays the same when the value changes. + * + *

The chunk count and a separator are folded in, so that the same characters split + * differently do not fingerprint alike. + * + * @param chunks the texts embedded for one entity, in the order they were sent + * @return the fingerprint as lower case hexadecimal + */ + public static String getEmbeddedTextFingerprint(List chunks) { + MessageDigest digest; + try { + digest = MessageDigest.getInstance("SHA-256"); + } catch (NoSuchAlgorithmException e) { + throw new IllegalStateException("SHA-256 is required to fingerprint embedded text", e); + } + digest.update(Integer.toString(chunks.size()).getBytes(StandardCharsets.UTF_8)); + for (String chunk : chunks) { + digest.update((byte) 0); + digest.update(chunk.getBytes(StandardCharsets.UTF_8)); + } + byte[] bytes = digest.digest(); + StringBuilder hex = new StringBuilder(bytes.length * 2); + for (byte b : bytes) { + hex.append(HEX[(b >> 4) & 0xF]).append(HEX[b & 0xF]); + } + return hex.toString(); + } + public static String getGraphEntityKey(GraphEntity entity) { if (entity instanceof GraphVertex) { return Constants.PREFIX_V + ((GraphVertex) entity).getVertex().getId() + entity.getLabel(); diff --git a/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/EmbeddingIndexStore.java b/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/EmbeddingIndexStore.java index 8fae2e1f0..419063a19 100644 --- a/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/EmbeddingIndexStore.java +++ b/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/EmbeddingIndexStore.java @@ -85,7 +85,14 @@ public void initStore(GraphAccessor graphAccessor, VerbalizationFunction func, } + // A record is accepted only when its fingerprint matches the text the entity would be + // embedded from now. The key tells which entity a vector belongs to but nothing about the + // value it came from, so without this an entity that kept its id and changed its value + // would count as indexed and keep the vector of the value it no longer has. long count = 0; + long staleRecords = 0; + long unversionedRecords = 0; + Map key2Fingerprint = new HashMap<>(); try (BufferedReader reader = new BufferedReader( new InputStreamReader( new FileInputStream(this.indexFilePath), @@ -96,24 +103,45 @@ public void initStore(GraphAccessor graphAccessor, VerbalizationFunction func, if (line.isEmpty()) { continue; } + EmbeddingService.EmbeddingResult embedding; try { - EmbeddingService.EmbeddingResult embedding = - new Gson().fromJson(line, EmbeddingService.EmbeddingResult.class); - String key = embedding.input; - GraphEntity entity = key2EntityMap.get(key); - if (entity != null) { - this.indexStoreMap.computeIfAbsent(entity, k -> new ArrayList<>()).add(embedding); - } - count++; + embedding = new Gson().fromJson(line, EmbeddingService.EmbeddingResult.class); } catch (Throwable e) { + // Only the parse is guarded. What follows verbalises the entity, and a + // verbaliser that throws must not be reported as a malformed file. LOGGER.info("Cannot parse embedding item: " + line); + continue; } + String key = embedding == null ? null : embedding.input; + GraphEntity entity = key == null ? null : key2EntityMap.get(key); + if (entity != null) { + if (embedding.contentHash == null) { + unversionedRecords++; + } else if (embedding.contentHash.equals( + currentFingerprint(key, entity, key2Fingerprint))) { + this.indexStoreMap.computeIfAbsent(entity, k -> new ArrayList<>()).add(embedding); + } else { + staleRecords++; + } + } + count++; } } catch (Throwable e) { throw new RuntimeException(e); } LOGGER.info("Success to read index store file. items num: " + count); + if (staleRecords > 0) { + LOGGER.info("{} records were produced from text their entity no longer has. Not " + + "loading them, so those entities are embedded again.", staleRecords); + } + if (unversionedRecords > 0) { + // Written before the fingerprint existed, so there is no way to tell whether they match + // the current value. Trusting them would keep exactly the staleness this check is for. + LOGGER.warn("{} records carry no fingerprint, so the text they were produced from " + + "cannot be established. Not loading them, which costs one round of embedding, " + + "after which they carry one.", unversionedRecords); + } LOGGER.info("Success to rebuild index with file. index num: " + this.indexStoreMap.size()); @@ -176,19 +204,42 @@ public void initStore(GraphAccessor graphAccessor, VerbalizationFunction func, addedCount, indexStoreMap.size()); } + /** + * The fingerprint of what the entity would be embedded from now, worked out once per entity + * since one file holds every chunk of it as a record of its own. This takes + * {@link VerbalizationFunction#verbalize(GraphEntity)} to be a function of the entity alone: one + * that answers differently for an unchanged entity would have its vectors produced again on + * every run. + */ + private String currentFingerprint(String key, GraphEntity entity, Map memo) { + String fingerprint = memo.get(key); + if (fingerprint == null) { + fingerprint = ModelUtils.getEmbeddedTextFingerprint(embeddedChunks(this.verbFunc, entity)); + memo.put(key, fingerprint); + } + return fingerprint; + } + + /** The texts an entity is embedded from, which is also what its fingerprint covers. */ + private static List embeddedChunks(VerbalizationFunction func, GraphEntity entity) { + return ModelUtils.splitLongText(Constants.EMBEDDING_INDEX_STORE_SPLIT_TEXT_CHUNK_SIZE, + func.verbalize(entity).toArray(new String[0])); + } + private List indexBatch(EmbeddingService service, List pendingEntities) { if (pendingEntities == null || service == null || pendingEntities.isEmpty()) { return new ArrayList<>(); } List pendingTexts = new ArrayList<>(pendingEntities.size()); Map> entity2StartEndPair = new HashMap<>(); + Map entity2Fingerprint = new HashMap<>(); for (GraphEntity e : pendingEntities) { Integer start = pendingTexts.size(); - pendingTexts.addAll(ModelUtils.splitLongText( - Constants.EMBEDDING_INDEX_STORE_SPLIT_TEXT_CHUNK_SIZE, - verbFunc.verbalize(e).toArray(new String[0]))); + List chunks = embeddedChunks(verbFunc, e); + pendingTexts.addAll(chunks); Integer end = pendingTexts.size(); entity2StartEndPair.put(e, Pair.of(start, end)); + entity2Fingerprint.put(e, ModelUtils.getEmbeddedTextFingerprint(chunks)); } Gson gson = new Gson(); @@ -215,6 +266,7 @@ private List indexBatch(EmbeddingService service, List pend EmbeddingService.EmbeddingResult res = gson.fromJson(result.get(i), EmbeddingService.EmbeddingResult.class); res.input = ModelUtils.getGraphEntityKey(e); + res.contentHash = entity2Fingerprint.get(e); formatResult.add(gson.toJson(res)); embeddings.add(res); } diff --git a/geaflow-ai/src/test/java/org/apache/geaflow/ai/GraphMemoryTest.java b/geaflow-ai/src/test/java/org/apache/geaflow/ai/GraphMemoryTest.java index 6216cb344..35df55918 100644 --- a/geaflow-ai/src/test/java/org/apache/geaflow/ai/GraphMemoryTest.java +++ b/geaflow-ai/src/test/java/org/apache/geaflow/ai/GraphMemoryTest.java @@ -23,7 +23,6 @@ import org.apache.geaflow.ai.graph.EmptyGraphAccessor; import org.apache.geaflow.ai.graph.GraphAccessor; import org.apache.geaflow.ai.graph.LocalMemoryGraphAccessor; -import org.apache.geaflow.ai.index.EmbeddingIndexStore; import org.apache.geaflow.ai.index.EntityAttributeIndexStore; import org.apache.geaflow.ai.index.IndexStore; import org.apache.geaflow.ai.index.vector.EmbeddingVector; @@ -97,18 +96,17 @@ public void testLdbcMainPipeline() { indexStore.initStore(new SubgraphSemanticPromptFunction(graphAccessor)); LOGGER.info("Success to init EntityAttributeIndexStore."); + // No embedding store here. This test used to load one from a checked in index file, but + // every query below embeds to double[0] through MockChatRobot, and a vector of a different + // length scores 0.0, so no stored vector could ever pass the threshold: what is asserted + // comes from the keyword path alone. Most of that file also no longer lined up with the text + // the current code would embed, so it could not be carried over to a format that records + // what a vector was produced from; see ISSUE-844 for the figures. The embedding store is + // covered against a local endpoint by EmbeddingIndexInvalidationTest instead. ModelConfig modelInfo = new ModelConfig(null, null, null, null); - EmbeddingIndexStore embeddingStore = new EmbeddingIndexStore(); - embeddingStore.initStore(graphAccessor, - new SubgraphSemanticPromptFunction(graphAccessor), - "src/test/resources/index/LDBCEmbeddingIndexStore", - modelInfo); - LOGGER.info("Success to init EmbeddingIndexStore."); - GraphMemoryServer server = new GraphMemoryServer(); server.addGraphAccessor(graphAccessor); server.addIndexStore(indexStore); - server.addIndexStore(embeddingStore); MockChatRobot robot = new MockChatRobot(); robot.setModelInfo(modelInfo); diff --git a/geaflow-ai/src/test/java/org/apache/geaflow/ai/index/EmbeddingIndexInvalidationTest.java b/geaflow-ai/src/test/java/org/apache/geaflow/ai/index/EmbeddingIndexInvalidationTest.java new file mode 100644 index 000000000..3e5588021 --- /dev/null +++ b/geaflow-ai/src/test/java/org/apache/geaflow/ai/index/EmbeddingIndexInvalidationTest.java @@ -0,0 +1,434 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, + * software distributed under the License is distributed on an + * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY + * KIND, either express or implied. See the License for the + * specific language governing permissions and limitations + * under the License. + */ + +package org.apache.geaflow.ai.index; + +import com.google.gson.Gson; +import com.sun.net.httpserver.HttpExchange; +import com.sun.net.httpserver.HttpServer; +import java.io.ByteArrayOutputStream; +import java.io.IOException; +import java.io.OutputStream; +import java.net.InetSocketAddress; +import java.nio.charset.StandardCharsets; +import java.nio.file.Files; +import java.nio.file.Path; +import java.nio.file.Paths; +import java.util.ArrayList; +import java.util.Arrays; +import java.util.Collections; +import java.util.HashMap; +import java.util.LinkedHashMap; +import java.util.List; +import java.util.Map; +import java.util.concurrent.CopyOnWriteArrayList; +import org.apache.geaflow.ai.GraphMemoryServer; +import org.apache.geaflow.ai.common.model.EmbeddingResponse; +import org.apache.geaflow.ai.common.model.EmbeddingService; +import org.apache.geaflow.ai.common.model.ModelConfig; +import org.apache.geaflow.ai.graph.GraphEntity; +import org.apache.geaflow.ai.graph.LocalMemoryGraphAccessor; +import org.apache.geaflow.ai.graph.io.Edge; +import org.apache.geaflow.ai.graph.io.EdgeGroup; +import org.apache.geaflow.ai.graph.io.EdgeSchema; +import org.apache.geaflow.ai.graph.io.EntityGroup; +import org.apache.geaflow.ai.graph.io.GraphSchema; +import org.apache.geaflow.ai.graph.io.MemoryGraph; +import org.apache.geaflow.ai.graph.io.Vertex; +import org.apache.geaflow.ai.graph.io.VertexGroup; +import org.apache.geaflow.ai.graph.io.VertexSchema; +import org.apache.geaflow.ai.index.vector.EmbeddingVector; +import org.apache.geaflow.ai.index.vector.IVector; +import org.apache.geaflow.ai.search.VectorSearch; +import org.apache.geaflow.ai.verbalization.SubgraphSemanticPromptFunction; +import org.junit.jupiter.api.AfterEach; +import org.junit.jupiter.api.Assertions; +import org.junit.jupiter.api.BeforeEach; +import org.junit.jupiter.api.Test; +import org.junit.jupiter.api.io.TempDir; + +/** + * What happens to a stored vector when the value it was produced from changes. + * + *

A record is keyed by the entity key, which is the id and the label, so it survives a change of + * value. Left at that, a changed entity counts as indexed and keeps the vector of a value it no + * longer has: retrieval for the old value still reaches it, while its current value has no vector + * anywhere. These tests pin down that a record is accepted only when it matches the text the entity + * would be embedded from now. + * + *

The embeddings endpoint is local and answers with one hot vectors, one dimension per distinct + * text, so that a stored vector says plainly which text produced it: cosine 1 against its own text + * and 0 against any other. Values carry a digit because that is what the verbaliser keeps. + */ +public class EmbeddingIndexInvalidationTest { + + private static final String LABEL = "chunk"; + private static final String EDGE_LABEL = "rel"; + private static final String OLD_VALUE = "the bell rang 3 times in the old hall"; + private static final String NEW_VALUE = "the drum sounded 7 times in the new hall"; + private static final String OTHER_VALUE = "the gate stood open for 5 days"; + private static final String EDGE_VALUE = "the 2 halls face one another"; + private static final int DIMS = 32; + + private HttpServer server; + private final List requestBodies = new CopyOnWriteArrayList<>(); + private final Map textDimensions = new LinkedHashMap<>(); + + @BeforeEach + void startEndpoint() throws IOException { + server = HttpServer.create(new InetSocketAddress("127.0.0.1", 0), 0); + server.createContext("/v1/embeddings", this::handle); + server.setExecutor(null); + server.start(); + } + + @AfterEach + void stopEndpoint() { + if (server != null) { + server.stop(0); + } + } + + @Test + public void testChangedValueIsEmbeddedAgainAndSupersedesTheStaleVector(@TempDir Path tempDir) + throws Exception { + String indexPath = tempDir.resolve("index.jsonl").toString(); + + LocalMemoryGraphAccessor first = graphOf(OLD_VALUE, OTHER_VALUE); + initStore(first, indexPath); + Assertions.assertEquals(1, requestBodies.size(), "both values fit in one batch"); + Assertions.assertEquals(2, indexLines(indexPath), "one record per vertex"); + + // Same id and label, different value. Nothing about the key changes, so this is the case + // that used to go unnoticed. + requestBodies.clear(); + LocalMemoryGraphAccessor second = graphOf(NEW_VALUE, OTHER_VALUE); + EmbeddingIndexStore store = initStore(second, indexPath); + + Assertions.assertEquals(1, requestBodies.size(), "the changed vertex is embedded again"); + Assertions.assertTrue(requestBodies.get(0).contains(NEW_VALUE), + "the request must carry the value the entity has now"); + Assertions.assertFalse(requestBodies.get(0).contains(OTHER_VALUE), + "the unchanged vertex must come back from the file, not from the model"); + + IVector stored = onlyVector(store, second, "v1"); + Assertions.assertEquals(1.0, stored.match(vectorOf(NEW_VALUE)), 1e-9, + "the vector held for the vertex must be the one produced from its current value"); + Assertions.assertEquals(0.0, stored.match(vectorOf(OLD_VALUE)), 1e-9, + "the vector produced from the value that is gone must not be what is held"); + + // The record just written must in turn be recognised as current, or every run would embed + // everything again, and append to a file it had nothing to add to. + requestBodies.clear(); + byte[] before = Files.readAllBytes(Paths.get(indexPath)); + LocalMemoryGraphAccessor third = graphOf(NEW_VALUE, OTHER_VALUE); + initStore(third, indexPath); + Assertions.assertEquals(0, requestBodies.size(), "an unchanged graph is not embedded again"); + Assertions.assertArrayEquals(before, Files.readAllBytes(Paths.get(indexPath)), + "and its file is left exactly as it was"); + } + + @Test + public void testRecallFollowsTheCurrentValue(@TempDir Path tempDir) { + String indexPath = tempDir.resolve("index.jsonl").toString(); + + initStore(graphOf(OLD_VALUE, OTHER_VALUE), indexPath); + LocalMemoryGraphAccessor changed = graphOf(NEW_VALUE, OTHER_VALUE); + EmbeddingIndexStore store = initStore(changed, indexPath); + + // Asking for the value the graph no longer holds must reach nothing. Before, it reached the + // vertex, and the context handed back described the new value, so the reason a vertex was + // recalled and what the reader was then shown disagreed. + Recall miss = recall(changed, store, OLD_VALUE); + Assertions.assertTrue(miss.entities.isEmpty(), + "a value that is no longer in the graph must not recall the vertex, context was: " + + miss.context); + + Recall hit = recall(changed, store, NEW_VALUE); + Assertions.assertEquals(1, hit.entities.size(), + "the value the vertex holds now must reach it"); + Assertions.assertTrue(hit.context.contains(NEW_VALUE), + "and the context must be about that value, context was: " + hit.context); + } + + @Test + public void testChangedEdgeValueIsEmbeddedAgain(@TempDir Path tempDir) throws Exception { + String indexPath = tempDir.resolve("index.jsonl").toString(); + + initStore(graphWithEdge(OLD_VALUE, OTHER_VALUE, EDGE_VALUE), indexPath); + Assertions.assertEquals(3, indexLines(indexPath), "two vertices and the edge between them"); + + requestBodies.clear(); + String changedEdge = "the gate was locked at 8 in the evening"; + LocalMemoryGraphAccessor changed = graphWithEdge(OLD_VALUE, OTHER_VALUE, changedEdge); + EmbeddingIndexStore store = initStore(changed, indexPath); + + Assertions.assertEquals(1, requestBodies.size(), "the edge is embedded again"); + Assertions.assertTrue(requestBodies.get(0).contains(changedEdge), + "with the value it carries now"); + List edgeVectors = + store.getEntityIndex(changed.getEdge(EDGE_LABEL, "v1", "v2").get(0)); + Assertions.assertEquals(1, edgeVectors.size(), + "one chunk, so one vector, and not the superseded one beside it"); + Assertions.assertEquals(1.0, edgeVectors.get(0).match(vectorOf(changedEdge)), 1e-9, + "and it is the vector of the current value"); + } + + @Test + public void testIdTakenOverByAnotherEntityDoesNotAdoptTheOldVector(@TempDir Path tempDir) + throws Exception { + String indexPath = tempDir.resolve("index.jsonl").toString(); + + initStore(graphOf(OLD_VALUE), indexPath); + Assertions.assertEquals(1, indexLines(indexPath), "one record for the one vertex"); + + // The vertex is removed. Its record is not read, and not removed either, since from here a + // deleted entity and a graph that scanned short look the same. + requestBodies.clear(); + initStore(graphOf(), indexPath); + Assertions.assertEquals(1, indexLines(indexPath), "the record is still in the file"); + Assertions.assertEquals(0, requestBodies.size(), "with nothing in the graph to embed"); + + // Another entity takes the id over. This is what the record left in the file is dangerous + // for, and the fingerprint is what stops it being adopted. + requestBodies.clear(); + LocalMemoryGraphAccessor reused = graphOf(NEW_VALUE); + EmbeddingIndexStore store = initStore(reused, indexPath); + + Assertions.assertEquals(1, requestBodies.size(), "the entity behind the id is embedded"); + IVector stored = onlyVector(store, reused, "v1"); + Assertions.assertEquals(1.0, stored.match(vectorOf(NEW_VALUE)), 1e-9, + "and holds the vector of its own value"); + Assertions.assertEquals(0.0, stored.match(vectorOf(OLD_VALUE)), 1e-9, + "not the one left behind by whatever held the id before"); + } + + @Test + public void testValueThatComesBackIsNotEmbeddedAgain(@TempDir Path tempDir) throws Exception { + String indexPath = tempDir.resolve("index.jsonl").toString(); + + initStore(graphOf(OLD_VALUE), indexPath); + initStore(graphOf(NEW_VALUE), indexPath); + Assertions.assertEquals(2, indexLines(indexPath), + "the record of the first value is still in the file, rejected but present"); + + // Which is what keeps the file from growing with every change: a value that comes back is + // matched by the record already there. + requestBodies.clear(); + LocalMemoryGraphAccessor reverted = graphOf(OLD_VALUE); + EmbeddingIndexStore store = initStore(reverted, indexPath); + + Assertions.assertEquals(0, requestBodies.size(), + "a value the entity has held before needs no request"); + IVector stored = onlyVector(store, reverted, "v1"); + Assertions.assertEquals(1.0, stored.match(vectorOf(OLD_VALUE)), 1e-9, + "and the vector held is the one of the value it has now"); + Assertions.assertEquals(2, indexLines(indexPath), "with nothing appended"); + } + + @Test + public void testRecordWithoutFingerprintIsEmbeddedAgain(@TempDir Path tempDir) throws Exception { + String indexPath = tempDir.resolve("index.jsonl").toString(); + + // How the file looked before a record said which text it came from. The vector belongs to + // some other text, which is precisely what cannot be established from the record itself. + writeLines(indexPath, Collections.singletonList( + new Gson().toJson(new EmbeddingService.EmbeddingResult( + "V" + "v1" + LABEL, vectorFor("something else entirely 9"))))); + + LocalMemoryGraphAccessor accessor = graphOf(OLD_VALUE); + EmbeddingIndexStore store = initStore(accessor, indexPath); + + Assertions.assertEquals(1, requestBodies.size(), + "a record that cannot be shown to match the value is not taken on trust"); + Assertions.assertTrue(requestBodies.get(0).contains(OLD_VALUE), "the current value is sent"); + Assertions.assertEquals(1.0, onlyVector(store, accessor, "v1").match(vectorOf(OLD_VALUE)), + 1e-9, "the vector held is the one produced from the current value"); + + List records = readRecords(indexPath); + Assertions.assertEquals(2, records.size(), "the record it replaces is still in the file"); + Assertions.assertNotNull(records.get(1).contentHash, + "and the one appended carries a fingerprint"); + + // Which is to say the one without a fingerprint costs one round of embedding, once. + requestBodies.clear(); + initStore(graphOf(OLD_VALUE), indexPath); + Assertions.assertEquals(0, requestBodies.size(), "and is not paid for twice"); + } + + private EmbeddingIndexStore initStore(LocalMemoryGraphAccessor accessor, String indexPath) { + EmbeddingIndexStore store = new EmbeddingIndexStore(); + store.initStore(accessor, new SubgraphSemanticPromptFunction(accessor), indexPath, config()); + return store; + } + + /** What asking for one text reaches, in a session of its own, and how it reads. */ + private Recall recall(LocalMemoryGraphAccessor accessor, EmbeddingIndexStore store, + String queryText) { + GraphMemoryServer memoryServer = new GraphMemoryServer(); + memoryServer.addGraphAccessor(accessor); + memoryServer.addIndexStore(store); + String sessionId = memoryServer.createSession(); + VectorSearch search = new VectorSearch(null, sessionId); + search.addVector(vectorOf(queryText)); + memoryServer.search(search); + return new Recall(memoryServer.getSessionEntities(sessionId), + memoryServer.verbalize(sessionId, + new SubgraphSemanticPromptFunction(accessor)).toString()); + } + + private static class Recall { + private final List entities; + private final String context; + + Recall(List entities, String context) { + this.entities = entities; + this.context = context; + } + } + + private IVector onlyVector(EmbeddingIndexStore store, LocalMemoryGraphAccessor accessor, + String id) { + List vectors = store.getEntityIndex(accessor.getVertex(LABEL, id)); + Assertions.assertEquals(1, vectors.size(), "one chunk, so one vector, for vertex " + id); + return vectors.get(0); + } + + private void handle(HttpExchange exchange) throws IOException { + byte[] requestBytes = readAll(exchange); + requestBodies.add(new String(requestBytes, StandardCharsets.UTF_8)); + + String[] inputs = new Gson().fromJson( + new String(requestBytes, StandardCharsets.UTF_8), Request.class).input; + EmbeddingResponse response = new EmbeddingResponse(); + response.object = "list"; + response.model = "test-local"; + response.data = new ArrayList<>(); + for (int i = 0; i < inputs.length; i++) { + EmbeddingResponse.EmbeddingVector vector = new EmbeddingResponse.EmbeddingVector(); + vector.index = i; + vector.embedding = vectorFor(inputs[i]); + response.data.add(vector); + } + + byte[] out = new Gson().toJson(response).getBytes(StandardCharsets.UTF_8); + exchange.getResponseHeaders().add("Content-Type", "application/json; charset=utf-8"); + exchange.sendResponseHeaders(200, out.length); + try (OutputStream os = exchange.getResponseBody()) { + os.write(out); + } + } + + private static byte[] readAll(HttpExchange exchange) throws IOException { + ByteArrayOutputStream buffer = new ByteArrayOutputStream(); + byte[] chunk = new byte[4096]; + int read; + while ((read = exchange.getRequestBody().read(chunk)) > 0) { + buffer.write(chunk, 0, read); + } + return buffer.toByteArray(); + } + + /** One dimension per distinct text: a vector matches its own text and nothing else. */ + private double[] vectorFor(String text) { + int dimension; + synchronized (textDimensions) { + Integer known = textDimensions.get(text); + if (known == null) { + known = textDimensions.size(); + Assertions.assertTrue(known < DIMS, "more distinct texts than dimensions"); + textDimensions.put(text, known); + } + dimension = known; + } + double[] vector = new double[DIMS]; + vector[dimension] = 1.0; + return vector; + } + + private EmbeddingVector vectorOf(String text) { + return new EmbeddingVector(vectorFor(text)); + } + + private ModelConfig config() { + return new ModelConfig("test-local", + "http://127.0.0.1:" + server.getAddress().getPort(), "/v1/embeddings", "test-token"); + } + + private long indexLines(String indexPath) throws IOException { + return Files.readAllLines(Paths.get(indexPath), StandardCharsets.UTF_8) + .stream().filter(line -> !line.trim().isEmpty()).count(); + } + + private List readRecords(String indexPath) throws IOException { + List records = new ArrayList<>(); + Gson gson = new Gson(); + for (String line : Files.readAllLines(Paths.get(indexPath), StandardCharsets.UTF_8)) { + if (!line.trim().isEmpty()) { + records.add(gson.fromJson(line, EmbeddingService.EmbeddingResult.class)); + } + } + return records; + } + + private void writeLines(String indexPath, List lines) throws IOException { + Files.write(Paths.get(indexPath), lines, StandardCharsets.UTF_8); + } + + private LocalMemoryGraphAccessor graphOf(String... values) { + return build(null, values); + } + + /** The same vertices with one edge between the first two, carrying a value of its own. */ + private LocalMemoryGraphAccessor graphWithEdge(String v1Text, String v2Text, String edgeText) { + return build(edgeText, v1Text, v2Text); + } + + private LocalMemoryGraphAccessor build(String edgeText, String... values) { + GraphSchema schema = new GraphSchema(); + schema.setName("invalidation"); + VertexSchema vertexSchema = + new VertexSchema(LABEL, "id", Collections.singletonList("text")); + schema.addVertex(vertexSchema); + + List vertices = new ArrayList<>(); + for (int i = 0; i < values.length; i++) { + vertices.add(new Vertex(LABEL, "v" + (i + 1), + new ArrayList<>(Arrays.asList(values[i])))); + } + Map entities = new HashMap<>(); + entities.put(LABEL, new VertexGroup(vertexSchema, vertices)); + + if (edgeText != null) { + EdgeSchema edgeSchema = new EdgeSchema(EDGE_LABEL, "srcId", "dstId", + Collections.singletonList("text")); + schema.addEdge(edgeSchema); + List edges = new ArrayList<>(Collections.singletonList( + new Edge(EDGE_LABEL, "v1", "v2", new ArrayList<>( + Collections.singletonList(edgeText))))); + entities.put(EDGE_LABEL, new EdgeGroup(edgeSchema, edges)); + } + return new LocalMemoryGraphAccessor(new MemoryGraph(schema, entities)); + } + + /** Mirrors the request the client sends, enough of it to read the inputs back. */ + private static class Request { + private String[] input; + } +} diff --git a/geaflow-ai/src/test/resources/index/LDBCEmbeddingIndexStore b/geaflow-ai/src/test/resources/index/LDBCEmbeddingIndexStore deleted file mode 100644 index 3398d1234..000000000 --- a/geaflow-ai/src/test/resources/index/LDBCEmbeddingIndexStore +++ /dev/null @@ -1,362 +0,0 @@ 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From 923347fc981e5f5a68047a760356a0f2dbfe1b5c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=88=9A=E5=AE=8F=E6=88=90?= Date: Thu, 27 Aug 2026 16:52:34 +0800 Subject: [PATCH 2/2] [ISSUE-844] fix(ai): key the embedding index by the entity key, and publish it once Review of #858 raised two things about indexStoreMap. Both are about the map rather than the fingerprint, and both are addressed, though not quite as suggested. Keyed by a string, not by the entity. The map is now Map> under ModelUtils.getGraphEntityKey, the same string the index file is keyed by, so one notion of which entity a vector belongs to serves both memory and disk. Lookups across instances already worked, since GraphVertex.equals answers on the id and the label and GraphEdge on the two ids and the label, and what a key retained was the Vertex and its values rather than the graph. The reason to change it is narrower and more to the point of this fix: with the entity as the key, what counts as the same indexed entity is decided by GraphVertex.equals, and this is a fix about an entity's identity not covering its value. Someone extending that equals to cover the values, which is a reasonable thing to want, would silently stop getEntityIndex finding records and stop the scan skipping what is indexed. Keying by the entity key takes the index out of the reach of that change. Published once, rather than made concurrent. initStore built into the field and mutated it throughout, so a reader on another thread saw an index half way through being built, and a second initStore emptied it for readers before filling it again. A ConcurrentHashMap makes each operation safe but leaves that reader looking at a partial index, which is the wrong answer rather than a crash. So initStore now builds into a local map and assigns it to the field in one go, the field is volatile and starts empty, and a reader is shown either the index that was there before or the finished one, and no longer has to have waited for a first build to avoid failing. Two cases added. One reads through an entity object from a different graph than the one that was indexed, which is the scenario raised; it holds on master too and is there to keep it holding. The other holds the endpoint open, reads while a second build is in flight, and requires the vector from before the build; it fails if the field is assigned before the build rather than after. --- .../geaflow/ai/index/EmbeddingIndexStore.java | 69 +++++++++++------ .../index/EmbeddingIndexInvalidationTest.java | 76 ++++++++++++++++++- 2 files changed, 119 insertions(+), 26 deletions(-) diff --git a/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/EmbeddingIndexStore.java b/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/EmbeddingIndexStore.java index 419063a19..0dabbc7c9 100644 --- a/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/EmbeddingIndexStore.java +++ b/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/EmbeddingIndexStore.java @@ -47,7 +47,17 @@ public class EmbeddingIndexStore implements IndexStore { private VerbalizationFunction verbFunc; private String indexFilePath; private ModelConfig modelConfig; - private Map> indexStoreMap; + /** + * Keyed by {@link ModelUtils#getGraphEntityKey}, the same string the index file is keyed by, so + * that one notion of which entity a vector belongs to serves both. Keying it by the entity would + * hand that decision to {@code GraphVertex.equals}, which answers on the id and the label and + * would take the index with it if it ever came to answer on the values as well. + * + *

Built aside and assigned once, so a reader during initStore sees the index it had before + * rather than one half way through being built, and empty until there has been one. + */ + private volatile Map> indexStoreMap = + Collections.emptyMap(); public void initStore(GraphAccessor graphAccessor, VerbalizationFunction func, String indexFilePath, ModelConfig modelInfo) { @@ -55,7 +65,7 @@ public void initStore(GraphAccessor graphAccessor, VerbalizationFunction func, this.verbFunc = func; this.indexFilePath = indexFilePath; this.modelConfig = modelInfo; - this.indexStoreMap = new HashMap<>(); + Map> loading = new HashMap<>(); //Read index items from indexFilePath Map key2EntityMap = new HashMap<>(); @@ -119,7 +129,7 @@ public void initStore(GraphAccessor graphAccessor, VerbalizationFunction func, unversionedRecords++; } else if (embedding.contentHash.equals( currentFingerprint(key, entity, key2Fingerprint))) { - this.indexStoreMap.computeIfAbsent(entity, k -> new ArrayList<>()).add(embedding); + loading.computeIfAbsent(key, k -> new ArrayList<>()).add(embedding); } else { staleRecords++; } @@ -142,7 +152,7 @@ public void initStore(GraphAccessor graphAccessor, VerbalizationFunction func, + "cannot be established. Not loading them, which costs one round of embedding, " + "after which they carry one.", unversionedRecords); } - LOGGER.info("Success to rebuild index with file. index num: " + this.indexStoreMap.size()); + LOGGER.info("Success to rebuild index with file. index num: " + loading.size()); //Scan entities in the graph, make new index items @@ -151,21 +161,22 @@ public void initStore(GraphAccessor graphAccessor, VerbalizationFunction func, final int BATCH_SIZE = Constants.EMBEDDING_INDEX_STORE_BATCH_SIZE; List pendingEntities = new ArrayList<>(BATCH_SIZE); - Set batchEntitiesBuffer = new HashSet<>(BATCH_SIZE); + Set batchEntitiesBuffer = new HashSet<>(BATCH_SIZE); List result = new ArrayList<>(); final int REPORT_SIZE = Constants.EMBEDDING_INDEX_STORE_REPORT_SIZE; - long reportedCount = this.indexStoreMap.size(); - long addedCount = this.indexStoreMap.size(); + long reportedCount = loading.size(); + long addedCount = loading.size(); for (Iterator itV = graphAccessor.scanVertex(); itV.hasNext(); ) { GraphVertex vertex = itV.next(); // Scan vertices or edges, skip already indexed data, // add un-indexed data to batch processing collection - if (!indexStoreMap.containsKey(vertex) && !batchEntitiesBuffer.contains(vertex)) { - batchEntitiesBuffer.add(vertex); + String vertexKey = ModelUtils.getGraphEntityKey(vertex); + if (!loading.containsKey(vertexKey) && !batchEntitiesBuffer.contains(vertexKey)) { + batchEntitiesBuffer.add(vertexKey); pendingEntities.add(vertex); if (pendingEntities.size() >= BATCH_SIZE) { - result.addAll(indexBatch(embeddingService, pendingEntities)); + result.addAll(indexBatch(embeddingService, pendingEntities, loading)); flushBatchIndex(result, false); pendingEntities.clear(); batchEntitiesBuffer.clear(); @@ -175,11 +186,12 @@ public void initStore(GraphAccessor graphAccessor, VerbalizationFunction func, for (Iterator itE = graphAccessor.scanEdge(vertex); itE.hasNext(); ) { GraphEdge edge = itE.next(); - if (!indexStoreMap.containsKey(edge) && !batchEntitiesBuffer.contains(edge)) { - batchEntitiesBuffer.add(edge); + String edgeKey = ModelUtils.getGraphEntityKey(edge); + if (!loading.containsKey(edgeKey) && !batchEntitiesBuffer.contains(edgeKey)) { + batchEntitiesBuffer.add(edgeKey); pendingEntities.add(edge); if (pendingEntities.size() >= BATCH_SIZE) { - result.addAll(indexBatch(embeddingService, pendingEntities)); + result.addAll(indexBatch(embeddingService, pendingEntities, loading)); flushBatchIndex(result, false); pendingEntities.clear(); batchEntitiesBuffer.clear(); @@ -193,15 +205,16 @@ public void initStore(GraphAccessor graphAccessor, VerbalizationFunction func, } } if (pendingEntities.size() > 0) { - result.addAll(indexBatch(embeddingService, pendingEntities)); + result.addAll(indexBatch(embeddingService, pendingEntities, loading)); flushBatchIndex(result, true); addedCount += pendingEntities.size(); pendingEntities.clear(); batchEntitiesBuffer.clear(); } + this.indexStoreMap = loading; LOGGER.info("Successfully added {} new index items. Total indexed: {}", - addedCount, indexStoreMap.size()); + addedCount, loading.size()); } /** @@ -226,7 +239,8 @@ private static List embeddedChunks(VerbalizationFunction func, GraphEnti func.verbalize(entity).toArray(new String[0])); } - private List indexBatch(EmbeddingService service, List pendingEntities) { + private List indexBatch(EmbeddingService service, List pendingEntities, + Map> loading) { if (pendingEntities == null || service == null || pendingEntities.isEmpty()) { return new ArrayList<>(); } @@ -260,18 +274,19 @@ private List indexBatch(EmbeddingService service, List pend List formatResult = new ArrayList<>(); for (Map.Entry> entry : entity2StartEndPair.entrySet()) { GraphEntity e = entry.getKey(); + String key = ModelUtils.getGraphEntityKey(e); List embeddings = new ArrayList<>(); for (int i = entry.getValue().getLeft(); i < entry.getValue().getRight(); i++) { if (StringUtils.isNotBlank(result.get(i))) { EmbeddingService.EmbeddingResult res = gson.fromJson(result.get(i), EmbeddingService.EmbeddingResult.class); - res.input = ModelUtils.getGraphEntityKey(e); + res.input = key; res.contentHash = entity2Fingerprint.get(e); formatResult.add(gson.toJson(res)); embeddings.add(res); } } - indexStoreMap.put(e, embeddings); + loading.put(key, embeddings); } return formatResult; } @@ -295,14 +310,18 @@ private void flushBatchIndex(List newItemStrings, boolean force) { @Override public List getEntityIndex(GraphEntity entity) { - if (entity != null && indexStoreMap.get(entity) != null) { - List resultList = indexStoreMap.get(entity); - List result = new ArrayList<>(); - for (EmbeddingService.EmbeddingResult res : resultList) { - double[] embedding = res.embedding; - result.add(new EmbeddingVector(embedding)); + if (entity != null) { + // Read once: the field is replaced wholesale when an index is built. + List resultList = + indexStoreMap.get(ModelUtils.getGraphEntityKey(entity)); + if (resultList != null) { + List result = new ArrayList<>(); + for (EmbeddingService.EmbeddingResult res : resultList) { + double[] embedding = res.embedding; + result.add(new EmbeddingVector(embedding)); + } + return result; } - return result; } return Collections.emptyList(); } diff --git a/geaflow-ai/src/test/java/org/apache/geaflow/ai/index/EmbeddingIndexInvalidationTest.java b/geaflow-ai/src/test/java/org/apache/geaflow/ai/index/EmbeddingIndexInvalidationTest.java index 3e5588021..360188f2f 100644 --- a/geaflow-ai/src/test/java/org/apache/geaflow/ai/index/EmbeddingIndexInvalidationTest.java +++ b/geaflow-ai/src/test/java/org/apache/geaflow/ai/index/EmbeddingIndexInvalidationTest.java @@ -38,6 +38,9 @@ import java.util.List; import java.util.Map; import java.util.concurrent.CopyOnWriteArrayList; +import java.util.concurrent.CountDownLatch; +import java.util.concurrent.Executors; +import java.util.concurrent.TimeUnit; import org.apache.geaflow.ai.GraphMemoryServer; import org.apache.geaflow.ai.common.model.EmbeddingResponse; import org.apache.geaflow.ai.common.model.EmbeddingService; @@ -89,12 +92,16 @@ public class EmbeddingIndexInvalidationTest { private HttpServer server; private final List requestBodies = new CopyOnWriteArrayList<>(); private final Map textDimensions = new LinkedHashMap<>(); + /** Set only by the test that needs to read while a build is in flight. */ + private volatile CountDownLatch arrivedAtEndpoint; + private volatile CountDownLatch holdEndpoint; @BeforeEach void startEndpoint() throws IOException { server = HttpServer.create(new InetSocketAddress("127.0.0.1", 0), 0); server.createContext("/v1/embeddings", this::handle); - server.setExecutor(null); + // A thread of its own, so a handler that is held open does not hold up the test. + server.setExecutor(Executors.newCachedThreadPool()); server.start(); } @@ -272,6 +279,62 @@ public void testRecordWithoutFingerprintIsEmbeddedAgain(@TempDir Path tempDir) t Assertions.assertEquals(0, requestBodies.size(), "and is not paid for twice"); } + @Test + public void testIndexIsFoundThroughAnyInstanceOfTheEntity(@TempDir Path tempDir) { + String indexPath = tempDir.resolve("index.jsonl").toString(); + + EmbeddingIndexStore fresh = new EmbeddingIndexStore(); + Assertions.assertTrue(fresh.getEntityIndex( + graphOf(OLD_VALUE).getVertex(LABEL, "v1")).isEmpty(), + "a store that has not been built yet holds nothing, rather than failing"); + + LocalMemoryGraphAccessor indexed = graphOf(OLD_VALUE); + EmbeddingIndexStore store = initStore(indexed, indexPath); + + // A caller elsewhere asks with its own graph, so its own object for the same entity. What + // the index is keyed by has to be the entity's key, not the object. + LocalMemoryGraphAccessor elsewhere = graphOf(OLD_VALUE); + GraphEntity fromElsewhere = elsewhere.getVertex(LABEL, "v1"); + Assertions.assertNotSame(indexed.getVertex(LABEL, "v1"), fromElsewhere, + "the two graphs really do hand out different objects"); + Assertions.assertEquals(1.0, onlyVector(store, elsewhere, "v1").match(vectorOf(OLD_VALUE)), + 1e-9, "and the index is found through either of them"); + } + + @Test + public void testReaderDuringABuildSeesTheIndexAsItWas(@TempDir Path tempDir) throws Exception { + String indexPath = tempDir.resolve("index.jsonl").toString(); + + LocalMemoryGraphAccessor first = graphOf(OLD_VALUE); + EmbeddingIndexStore store = initStore(first, indexPath); + Assertions.assertEquals(1.0, onlyVector(store, first, "v1").match(vectorOf(OLD_VALUE)), + 1e-9, "the first build leaves the vector of the value it was given"); + + // Build again on the same store, with the endpoint held open, and read while it is half way + // through. The index is assigned once at the end, so a reader is never shown a part of it. + CountDownLatch reached = new CountDownLatch(1); + CountDownLatch release = new CountDownLatch(1); + arrivedAtEndpoint = reached; + holdEndpoint = release; + LocalMemoryGraphAccessor changed = graphOf(NEW_VALUE); + Thread build = new Thread(() -> store.initStore(changed, + new SubgraphSemanticPromptFunction(changed), indexPath, config())); + build.start(); + try { + Assertions.assertTrue(reached.await(10, TimeUnit.SECONDS), + "the build should have reached the endpoint"); + Assertions.assertEquals(1.0, + onlyVector(store, first, "v1").match(vectorOf(OLD_VALUE)), 1e-9, + "a reader during the build still sees the index that was there before"); + } finally { + release.countDown(); + build.join(20_000); + } + + Assertions.assertEquals(1.0, onlyVector(store, changed, "v1").match(vectorOf(NEW_VALUE)), + 1e-9, "and sees the new one once the build is done"); + } + private EmbeddingIndexStore initStore(LocalMemoryGraphAccessor accessor, String indexPath) { EmbeddingIndexStore store = new EmbeddingIndexStore(); store.initStore(accessor, new SubgraphSemanticPromptFunction(accessor), indexPath, config()); @@ -313,6 +376,17 @@ private IVector onlyVector(EmbeddingIndexStore store, LocalMemoryGraphAccessor a private void handle(HttpExchange exchange) throws IOException { byte[] requestBytes = readAll(exchange); requestBodies.add(new String(requestBytes, StandardCharsets.UTF_8)); + if (arrivedAtEndpoint != null) { + arrivedAtEndpoint.countDown(); + try { + if (!holdEndpoint.await(20, TimeUnit.SECONDS)) { + throw new IOException("the test did not release the endpoint"); + } + } catch (InterruptedException e) { + Thread.currentThread().interrupt(); + throw new IOException(e); + } + } String[] inputs = new Gson().fromJson( new String(requestBytes, StandardCharsets.UTF_8), Request.class).input;