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mem0/mem0-ts/src/oss/tests/memory.init.test.ts
T

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/**
* OSS Memory unit tests — constructor, initialization, config validation, reset.
* Mocks LLM/Embedder at module level. No API keys needed.
*/
/// <reference types="jest" />
import { Memory } from "../src/memory";
import type { MemoryConfig, SearchResult } from "../src/types";
jest.setTimeout(15000);
// Mock Google modules to prevent @google/genai crash in CI
jest.mock("../src/embeddings/google", () => ({
GoogleEmbedder: jest.fn(),
}));
jest.mock("../src/llms/google", () => ({
GoogleLLM: jest.fn(),
}));
// ─── Content-based LLM mock (V3 additive extraction pipeline) ─────────
jest.mock("../src/llms/openai", () => ({
OpenAILLM: jest.fn().mockImplementation(() => ({
generateResponse: jest
.fn()
.mockImplementation(
(messages: Array<{ role: string; content: string }>) => {
const userMsg = messages.find((m) => m.role === "user");
const content = userMsg?.content ?? "";
const newMsgMatch = content.match(
/## New Messages\n([\s\S]*?)(?=\n##|$)/,
);
const extracted = newMsgMatch ? newMsgMatch[1].trim() : "test fact";
return JSON.stringify({
memory: [
{
id: "0",
text: extracted,
attributed_to: "user",
},
],
});
},
),
})),
}));
const mockEmbedding = new Array(1536).fill(0.1);
jest.mock("../src/embeddings/openai", () => ({
OpenAIEmbedder: jest.fn().mockImplementation(() => ({
embed: jest.fn().mockResolvedValue(mockEmbedding),
embedBatch: jest
.fn()
.mockImplementation((texts: string[]) =>
Promise.resolve(texts.map(() => mockEmbedding)),
),
embeddingDims: 1536,
})),
}));
function createMemory(overrides: Partial<MemoryConfig> = {}): Memory {
return new Memory({
version: "v1.1",
embedder: {
provider: "openai",
config: { apiKey: "test-key", model: "text-embedding-3-small" },
},
vectorStore: {
provider: "memory",
config: { collectionName: "test-init", dimension: 1536 },
},
llm: {
provider: "openai",
config: { apiKey: "test-key", model: "gpt-5-mini" },
},
historyDbPath: ":memory:",
...overrides,
});
}
describe("Memory - Initialization", () => {
test("constructs without throwing with valid config", () => {
expect(() => createMemory()).not.toThrow();
});
test("fromConfig creates instance from config dict", () => {
const config = {
version: "v1.1",
embedder: {
provider: "openai",
config: { apiKey: "test-key", model: "text-embedding-3-small" },
},
vectorStore: {
provider: "memory",
config: { collectionName: "test", dimension: 1536 },
},
llm: {
provider: "openai",
config: { apiKey: "test-key", model: "gpt-5-mini" },
},
};
const mem = Memory.fromConfig(config);
expect(mem).toBeInstanceOf(Memory);
});
test("fromConfig throws on invalid config", () => {
expect(() => Memory.fromConfig({ invalid: true } as any)).toThrow();
});
test("disableHistory=true uses DummyHistoryManager (no crash on history)", async () => {
const mem = createMemory({ disableHistory: true });
// If DummyHistoryManager is used, history returns [] without error
const result = await mem.history("nonexistent-id");
expect(Array.isArray(result)).toBe(true);
});
});
describe("Memory - reset()", () => {
test("reset clears all stored memories", async () => {
const mem = createMemory();
const userId = `reset_test_${Date.now()}`;
await mem.add("Remember this fact", { userId });
const before: SearchResult = await mem.getAll({
filters: { user_id: userId },
});
expect(before.results.length).toBeGreaterThan(0);
await mem.reset();
const after: SearchResult = await mem.getAll({
filters: { user_id: userId },
});
expect(after.results).toHaveLength(0);
});
});