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test: skip all model-dependent tests in CI

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Token-based chunking, vector search, hybrid search, and store
LlamaCpp integration tests all require model downloads.
This commit is contained in:
Tobi Lutke 2026-02-15 14:46:41 -04:00
parent ed4df97122
commit 73985a2aaa
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2 changed files with 4 additions and 4 deletions
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4
src/eval.test.ts
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@ -152,7 +152,7 @@ describe("BM25 Search (FTS)", () => {
// Vector Search Tests - Requires embedding model // Vector Search Tests - Requires embedding model
// ============================================================================= // =============================================================================
describe("Vector Search", () => { describe.skipIf(!!process.env.CI)("Vector Search", () => {
let store: ReturnType<typeof createStore>; let store: ReturnType<typeof createStore>;
let db: Database; let db: Database;
let hasEmbeddings = false; let hasEmbeddings = false;
@ -264,7 +264,7 @@ describe("Vector Search", () => {
// Hybrid Search (RRF) Tests - Combines BM25 + Vector // Hybrid Search (RRF) Tests - Combines BM25 + Vector
// ============================================================================= // =============================================================================
describe("Hybrid Search (RRF)", () => { describe.skipIf(!!process.env.CI)("Hybrid Search (RRF)", () => {
let store: ReturnType<typeof createStore>; let store: ReturnType<typeof createStore>;
let db: Database; let db: Database;
let hasVectors = false; let hasVectors = false;

4
src/store.test.ts
View File

@ -636,7 +636,7 @@ describe("Document Chunking", () => {
}); });
}); });
describe("Token-based Chunking", () => { describe.skipIf(!!process.env.CI)("Token-based Chunking", () => {
test("chunkDocumentByTokens returns single chunk for small documents", async () => { test("chunkDocumentByTokens returns single chunk for small documents", async () => {
const content = "This is a small document."; const content = "This is a small document.";
const chunks = await chunkDocumentByTokens(content, 900, 135); const chunks = await chunkDocumentByTokens(content, 900, 135);
@ -2245,7 +2245,7 @@ describe("Integration", () => {
// LlamaCpp Integration Tests (using real local models) // LlamaCpp Integration Tests (using real local models)
// ============================================================================= // =============================================================================
describe("LlamaCpp Integration", () => { describe.skipIf(!!process.env.CI)("LlamaCpp Integration", () => {
test("searchVec returns empty when no vector index", async () => { test("searchVec returns empty when no vector index", async () => {
const store = await createTestStore(); const store = await createTestStore();
const collectionName = await createTestCollection(); const collectionName = await createTestCollection();