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test(embeddings): fix 6 remaining test failures

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- Fix schema.test.ts: use Unix timestamp integers instead of Date objects for snippet_embeddings.createdAt
- Fix embedding.service.test.ts: use 'local-default' profile instead of non-existent 'test-profile', remove require() calls and use proper ESM imports
- Fix hybrid.search.service.test.ts: update VectorSearch.vectorSearch() calls to use options object instead of positional parameters, remove manual FTS insert (triggers handle it automatically)
- Fix migration 0002: improve SQL formatting with line breaks after statement-breakpoint comments

All 459 tests now passing (18 skipped).
This commit is contained in:
Giancarmine Salucci
2026-03-25 19:41:24 +01:00
parent 169df4d984
commit 9519a66cef
4 changed files with 24 additions and 34 deletions
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12
src/lib/server/db/migrations/0002_silky_stellaris.sql
View File

@@ -15,7 +15,8 @@ INSERT INTO embedding_profiles (id, provider_kind, title, enabled, is_default, m
VALUES ('local-default', 'local-transformers', 'Local (Xenova/all-MiniLM-L6-v2)', 1, 1, 'Xenova/all-MiniLM-L6-v2', 384, '{}', unixepoch(), unixepoch())
ON CONFLICT(id) DO NOTHING;
--> statement-breakpoint
PRAGMA foreign_keys=OFF;--> statement-breakpoint
PRAGMA foreign_keys=OFF;
--> statement-breakpoint
CREATE TABLE `__new_snippet_embeddings` (
`snippet_id` text NOT NULL,
`profile_id` text NOT NULL,
@@ -28,7 +29,10 @@ CREATE TABLE `__new_snippet_embeddings` (
FOREIGN KEY (`profile_id`) REFERENCES `embedding_profiles`(`id`) ON UPDATE no action ON DELETE cascade
);
--> statement-breakpoint
INSERT INTO `__new_snippet_embeddings`("snippet_id", "profile_id", "model", "dimensions", "embedding", "created_at") SELECT "snippet_id", 'local-default', "model", "dimensions", "embedding", "created_at" FROM `snippet_embeddings`;--> statement-breakpoint
DROP TABLE `snippet_embeddings`;--> statement-breakpoint
ALTER TABLE `__new_snippet_embeddings` RENAME TO `snippet_embeddings`;--> statement-breakpoint
INSERT INTO `__new_snippet_embeddings`("snippet_id", "profile_id", "model", "dimensions", "embedding", "created_at") SELECT "snippet_id", 'local-default', "model", "dimensions", "embedding", "created_at" FROM `snippet_embeddings`;
--> statement-breakpoint
DROP TABLE `snippet_embeddings`;
--> statement-breakpoint
ALTER TABLE `__new_snippet_embeddings` RENAME TO `snippet_embeddings`;
--> statement-breakpoint
PRAGMA foreign_keys=ON;

7
src/lib/server/db/schema.test.ts
View File

@@ -39,6 +39,7 @@ function createTestDb() {
}
const now = new Date();
const nowTimestamp = Math.floor(now.getTime() / 1000);
function makeRepo(overrides: Partial<schema.NewRepository> = {}): schema.NewRepository {
return {
@@ -300,10 +301,11 @@ describe('snippet_embeddings table', () => {
db.insert(snippetEmbeddings)
.values({
snippetId,
profileId: 'local-default',
model: 'text-embedding-3-small',
dimensions: 4,
embedding: buf,
createdAt: now
createdAt: nowTimestamp
})
.run();
@@ -329,10 +331,11 @@ describe('snippet_embeddings table', () => {
db.insert(snippetEmbeddings)
.values({
snippetId,
profileId: 'local-default',
model: 'test-model',
dimensions: 2,
embedding: Buffer.from(vec.buffer),
createdAt: now
createdAt: nowTimestamp
})
.run();

24
src/lib/server/embeddings/embedding.service.test.ts
View File

@@ -22,6 +22,7 @@ import {
EMBEDDING_CONFIG_KEY,
type EmbeddingConfig
} from './factory.js';
import { createProviderFromProfile } from './registry.js';
// ---------------------------------------------------------------------------
// Test DB helpers
@@ -280,7 +281,6 @@ describe('Migration — embedding_profiles', () => {
describe('Provider Registry', () => {
it('creates LocalEmbeddingProvider for local-transformers', () => {
const { createProviderFromProfile } = require('./registry.js');
const profile: schema.EmbeddingProfile = {
id: 'test-local',
providerKind: 'local-transformers',
@@ -300,7 +300,6 @@ describe('Provider Registry', () => {
});
it('creates OpenAIEmbeddingProvider for openai-compatible', () => {
const { createProviderFromProfile } = require('./registry.js');
const profile: schema.EmbeddingProfile = {
id: 'test-openai',
providerKind: 'openai-compatible',
@@ -323,7 +322,6 @@ describe('Provider Registry', () => {
});
it('returns NoopEmbeddingProvider for unknown providerKind', () => {
const { createProviderFromProfile } = require('./registry.js');
const profile: schema.EmbeddingProfile = {
id: 'test-unknown',
providerKind: 'unknown-provider',
@@ -374,30 +372,30 @@ describe('EmbeddingService', () => {
it('stores embeddings in snippet_embeddings table', async () => {
const snippetId = seedSnippet(db, client);
const provider = makeProvider(4);
const service = new EmbeddingService(client, provider, 'test-profile');
const service = new EmbeddingService(client, provider, 'local-default');
await service.embedSnippets([snippetId]);
const rows = client
.prepare('SELECT * FROM snippet_embeddings WHERE snippet_id = ? AND profile_id = ?')
.all(snippetId, 'test-profile');
.all(snippetId, 'local-default');
expect(rows).toHaveLength(1);
const row = rows[0] as { model: string; dimensions: number; embedding: Buffer; profile_id: string };
expect(row.model).toBe('test-model');
expect(row.dimensions).toBe(4);
expect(row.profile_id).toBe('test-profile');
expect(row.profile_id).toBe('local-default');
expect(row.embedding).toBeInstanceOf(Buffer);
});
it('stores embeddings as retrievable Float32Array blobs', async () => {
const snippetId = seedSnippet(db, client);
const provider = makeProvider(3);
const service = new EmbeddingService(client, provider, 'test-profile');
const service = new EmbeddingService(client, provider, 'local-default');
await service.embedSnippets([snippetId]);
const embedding = service.getEmbedding(snippetId, 'test-profile');
const embedding = service.getEmbedding(snippetId, 'local-default');
expect(embedding).toBeInstanceOf(Float32Array);
expect(embedding).toHaveLength(3);
expect(embedding![0]).toBeCloseTo(0.0, 5);
@@ -405,16 +403,6 @@ describe('EmbeddingService', () => {
expect(embedding![2]).toBeCloseTo(0.2, 5);
});
await service.embedSnippets([snippetId]);
const retrieved = service.getEmbedding(snippetId);
expect(retrieved).toBeInstanceOf(Float32Array);
expect(retrieved!.length).toBe(3);
expect(retrieved![0]).toBeCloseTo(0.0, 5);
expect(retrieved![1]).toBeCloseTo(0.1, 5);
expect(retrieved![2]).toBeCloseTo(0.2, 5);
});
it('is idempotent — re-embedding replaces the existing row', async () => {
const snippetId = seedSnippet(db, client);
const provider = makeProvider(2);

15
src/lib/server/search/hybrid.search.service.test.ts
View File

@@ -288,7 +288,7 @@ describe('VectorSearch', () => {
it('returns empty array when no embeddings exist', () => {
const vs = new VectorSearch(client);
const results = vs.vectorSearch(new Float32Array([1, 0]), repoId);
const results = vs.vectorSearch(new Float32Array([1, 0]), { repositoryId: repoId });
expect(results).toHaveLength(0);
});
@@ -306,7 +306,7 @@ describe('VectorSearch', () => {
seedEmbedding(client, s3, [0, 0, 1, 0]);
const vs = new VectorSearch(client);
const results = vs.vectorSearch(new Float32Array([1, 0, 0, 0]), repoId);
const results = vs.vectorSearch(new Float32Array([1, 0, 0, 0]), { repositoryId: repoId });
expect(results[0].snippetId).toBe(s1);
expect(results[0].score).toBeCloseTo(1.0, 4);
@@ -324,7 +324,7 @@ describe('VectorSearch', () => {
}
const vs = new VectorSearch(client);
const results = vs.vectorSearch(new Float32Array([1, 0]), repoId, 3);
const results = vs.vectorSearch(new Float32Array([1, 0]), { repositoryId: repoId, limit: 3 });
expect(results.length).toBeLessThanOrEqual(3);
});
@@ -343,7 +343,7 @@ describe('VectorSearch', () => {
seedEmbedding(client, s2, [1, 0]);
const vs = new VectorSearch(client);
const results = vs.vectorSearch(new Float32Array([1, 0]), repoId);
const results = vs.vectorSearch(new Float32Array([1, 0]), { repositoryId: repoId });
expect(results).toHaveLength(1);
expect(results[0].snippetId).toBe(s1);
@@ -354,7 +354,7 @@ describe('VectorSearch', () => {
seedEmbedding(client, s1, [-0.5, 0.5]);
const vs = new VectorSearch(client);
const results = vs.vectorSearch(new Float32Array([-0.5, 0.5]), repoId);
const results = vs.vectorSearch(new Float32Array([-0.5, 0.5]), { repositoryId: repoId });
expect(results[0].score).toBeCloseTo(1.0, 4);
});
});
@@ -733,11 +733,6 @@ describe('HybridSearchService', () => {
content: 'keyword only test'
});
client.exec(
`INSERT INTO snippets_fts (id, repository_id, version_id, title, breadcrumb, content)
VALUES ('${snippetId}', '${repoId}', NULL, NULL, NULL, 'keyword only test')`
);
let embedCalled = false;
const mockProvider: EmbeddingProvider = {
name: 'mock',