feat(memory): add OSS-to-Platform notices (#5494)
This commit is contained in:
youneshima
@@ -0,0 +1,492 @@
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/// <reference types="jest" />
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import * as fs from "fs";
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import * as os from "os";
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import * as path from "path";
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jest.setTimeout(15000);
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jest.mock("../src/embeddings/google", () => ({
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GoogleEmbedder: jest.fn(),
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}));
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jest.mock("../src/llms/google", () => ({
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GoogleLLM: jest.fn(),
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}));
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const mockEmbedding = new Array(1536).fill(0.1);
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jest.mock("../src/embeddings/openai", () => ({
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OpenAIEmbedder: jest.fn().mockImplementation(() => ({
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embed: jest.fn().mockResolvedValue(mockEmbedding),
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embedBatch: jest
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.fn()
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.mockImplementation((texts: string[]) =>
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Promise.resolve(texts.map(() => mockEmbedding)),
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),
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embeddingDims: 1536,
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})),
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}));
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jest.mock("../src/llms/openai", () => ({
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OpenAILLM: jest.fn().mockImplementation(() => ({
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generateResponse: jest.fn(),
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})),
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}));
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const PERFORMANCE_COPY =
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"Mem0 Platform is optimized for this type of workload. Its retrieval benchmarked at ~0.8-1.09s p50 across LoCoMo, LongMemEval, and BEAM 1M/10M workloads; you can use it for free by getting an API key at: https://app.mem0.ai";
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function makeTempMem0Dir(): string {
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return fs.mkdtempSync(path.join(os.tmpdir(), "mem0-node-performance-"));
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}
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function configPath(): string {
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return path.join(process.env.MEM0_DIR as string, "config.json");
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}
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function readConfig(): Record<string, any> {
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const file = configPath();
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if (!fs.existsSync(file)) return {};
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return JSON.parse(fs.readFileSync(file, "utf8"));
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}
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function writeConfig(config: Record<string, any>) {
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fs.mkdirSync(path.dirname(configPath()), { recursive: true });
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fs.writeFileSync(configPath(), JSON.stringify(config, null, 4));
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}
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function consumeFirstRun() {
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writeConfig({
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user_id: "node-performance-test-user",
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notice_state: {
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first_run: {
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consumed: true,
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trigger_function: "test_setup",
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variant: "test",
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},
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},
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});
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}
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function performancePayload(overrides: Record<string, any> = {}) {
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return {
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notices: {
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performance_slow_query: {
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enabled: true,
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notice_type: "log_line",
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copy: PERFORMANCE_COPY,
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...overrides,
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},
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},
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};
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}
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function createFetchMock(options: {
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variant?: string;
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payload?: unknown;
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failFlags?: boolean;
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flagEnabled?: boolean;
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}) {
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const calls: any[] = [];
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const fetchMock = jest.fn(async (url: string | URL, init?: RequestInit) => {
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const target = String(url);
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if (target.includes("/flags")) {
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if (options.failFlags) {
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throw new Error("flag evaluation failed");
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}
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const payload =
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options.payload === undefined
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? JSON.stringify(performancePayload())
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: options.payload;
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return {
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ok: true,
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json: jest.fn().mockResolvedValue({
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flags: {
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"mem0-oss-notices": {
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key: "mem0-oss-notices",
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enabled: options.flagEnabled ?? true,
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variant: options.variant ?? "displayed",
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metadata: { payload },
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},
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},
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}),
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};
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}
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if (target.includes("/i/v0/e/")) {
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calls.push(JSON.parse(String(init?.body)));
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return {
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ok: true,
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text: jest.fn().mockResolvedValue(""),
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};
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}
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return {
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ok: true,
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json: jest.fn().mockResolvedValue({}),
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text: jest.fn().mockResolvedValue(""),
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};
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});
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return { fetchMock, calls };
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}
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function noticeEvents(calls: any[]) {
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return calls.filter((call) => call.event === "mem0.notice_displayed");
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}
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function performanceEvents(calls: any[]) {
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return noticeEvents(calls).filter(
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(call) => call.properties.notice_id === "performance_slow_query",
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);
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}
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function flagRequestCount(fetchMock: jest.Mock) {
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return fetchMock.mock.calls.filter(([url]) => String(url).includes("/flags"))
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.length;
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}
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function mockSearchElapsed(elapsedMs: number) {
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let now = 1000;
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jest.spyOn(Date, "now").mockImplementation(() => {
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const current = now;
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now += elapsedMs;
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return current;
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});
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}
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async function createMemory() {
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const { Memory } = await import("../src/memory");
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return new Memory({
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version: "v1.1",
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embedder: {
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provider: "openai",
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config: { apiKey: "test-key", model: "text-embedding-3-small" },
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},
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vectorStore: {
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provider: "memory",
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config: {
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collectionName: `test-performance-${Date.now()}-${Math.random()}`,
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dimension: 1536,
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dbPath: ":memory:",
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},
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},
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llm: {
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provider: "openai",
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config: { apiKey: "test-key", model: "gpt-5-mini" },
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},
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historyDbPath: ":memory:",
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});
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}
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async function addSeed(memory: any, userId = "performance-user") {
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await memory.add("The user's favorite drink is green tea.", {
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userId,
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infer: false,
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});
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}
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describe("Node OSS performance slow query notice", () => {
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let originalMem0Dir: string | undefined;
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let originalTelemetry: string | undefined;
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let originalSampleRate: string | undefined;
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let originalFetch: typeof global.fetch;
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let stderrSpy: jest.SpyInstance;
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beforeEach(() => {
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originalMem0Dir = process.env.MEM0_DIR;
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originalTelemetry = process.env.MEM0_TELEMETRY;
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originalSampleRate = process.env.MEM0_TELEMETRY_SAMPLE_RATE;
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originalFetch = global.fetch;
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process.env.MEM0_DIR = makeTempMem0Dir();
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process.env.MEM0_TELEMETRY = "true";
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process.env.MEM0_TELEMETRY_SAMPLE_RATE = "1";
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stderrSpy = jest
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.spyOn(process.stderr, "write")
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.mockImplementation(() => true);
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jest.resetModules();
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});
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afterEach(() => {
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if (originalMem0Dir === undefined) delete process.env.MEM0_DIR;
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else process.env.MEM0_DIR = originalMem0Dir;
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if (originalTelemetry === undefined) delete process.env.MEM0_TELEMETRY;
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else process.env.MEM0_TELEMETRY = originalTelemetry;
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if (originalSampleRate === undefined) {
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delete process.env.MEM0_TELEMETRY_SAMPLE_RATE;
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} else {
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process.env.MEM0_TELEMETRY_SAMPLE_RATE = originalSampleRate;
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}
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global.fetch = originalFetch;
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jest.restoreAllMocks();
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jest.resetModules();
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});
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it("displays and emits safe fields after a slow successful search", async () => {
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consumeFirstRun();
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const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
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global.fetch = fetchMock as any;
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const memory = await createMemory();
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await addSeed(memory);
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stderrSpy.mockClear();
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mockSearchElapsed(2345);
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const result = await memory.search("favorite drink private text", {
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filters: { user_id: "performance-user" },
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topK: 3,
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});
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expect(result.results.length).toBeGreaterThan(0);
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expect(stderrSpy).toHaveBeenCalledWith(`${PERFORMANCE_COPY}\n`);
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const event = performanceEvents(calls)[0];
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expect(event.properties).toEqual(
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expect.objectContaining({
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notice_id: "performance_slow_query",
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notice_type: "log_line",
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flag_key: "mem0-oss-notices",
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variant: "displayed",
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displayed: true,
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payload: PERFORMANCE_COPY,
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notice_config_found: true,
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sync_type: "async",
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trigger_function: "search",
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trigger_reason: "slow_query",
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elapsed_ms: 2345,
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threshold_ms: 2000,
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top_k: 3,
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result_count: result.results.length,
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sample_rate: 1,
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}),
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);
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const serialized = JSON.stringify(event.properties);
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expect(serialized).not.toContain("private text");
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expect(serialized).not.toContain("performance-user");
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});
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it("is silent for holdout and emits displayed=false", async () => {
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consumeFirstRun();
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const { fetchMock, calls } = createFetchMock({ variant: "holdout" });
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global.fetch = fetchMock as any;
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const memory = await createMemory();
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await addSeed(memory);
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stderrSpy.mockClear();
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mockSearchElapsed(2345);
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await memory.search("favorite drink", {
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filters: { user_id: "performance-user" },
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topK: 3,
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});
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expect(stderrSpy).not.toHaveBeenCalled();
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expect(performanceEvents(calls)[0].properties).toEqual(
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expect.objectContaining({
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notice_id: "performance_slow_query",
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variant: "holdout",
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displayed: false,
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bypass_reason: "holdout",
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}),
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);
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});
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it.each([
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[
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"disabled payload",
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JSON.stringify(performancePayload({ enabled: false })),
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"payload_disabled",
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],
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[
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"missing config",
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JSON.stringify({ notices: {} }),
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"missing_notice_config",
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],
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[
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"missing copy",
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JSON.stringify(performancePayload({ copy: "" })),
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"missing_copy",
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],
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["malformed payload", "{not-json", "missing_notice_config"],
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])("is silent and safe for %s", async (_label, payload, bypassReason) => {
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consumeFirstRun();
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const { fetchMock, calls } = createFetchMock({
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variant: "displayed",
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payload,
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});
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global.fetch = fetchMock as any;
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const memory = await createMemory();
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await addSeed(memory);
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stderrSpy.mockClear();
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mockSearchElapsed(2345);
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await memory.search("favorite drink", {
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filters: { user_id: "performance-user" },
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topK: 3,
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});
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expect(stderrSpy).not.toHaveBeenCalled();
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expect(performanceEvents(calls)[0].properties).toEqual(
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expect.objectContaining({
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displayed: false,
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bypass_reason: bypassReason,
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}),
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);
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});
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it("does not evaluate fast searches", async () => {
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consumeFirstRun();
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const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
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global.fetch = fetchMock as any;
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const memory = await createMemory();
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await addSeed(memory);
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mockSearchElapsed(100);
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await memory.search("favorite drink", {
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filters: { user_id: "performance-user" },
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topK: 3,
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});
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expect(flagRequestCount(fetchMock)).toBe(0);
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expect(performanceEvents(calls)).toHaveLength(0);
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expect(readConfig().notice_state?.performance_slow_query).toBeUndefined();
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});
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it("does not evaluate failed searches", async () => {
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consumeFirstRun();
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const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
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global.fetch = fetchMock as any;
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const memory = await createMemory();
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mockSearchElapsed(2345);
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await expect(
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memory.search("private slow query", {
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filters: {},
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topK: 3,
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}),
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).rejects.toThrow("filters must contain");
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expect(flagRequestCount(fetchMock)).toBe(0);
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expect(performanceEvents(calls)).toHaveLength(0);
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expect(readConfig().notice_state?.performance_slow_query).toBeUndefined();
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});
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it("does not consume cap or emit when the blunt flag is disabled", async () => {
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consumeFirstRun();
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const { fetchMock, calls } = createFetchMock({
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variant: "displayed",
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flagEnabled: false,
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});
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global.fetch = fetchMock as any;
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const memory = await createMemory();
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await addSeed(memory);
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mockSearchElapsed(2345);
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await memory.search("favorite drink", {
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filters: { user_id: "performance-user" },
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topK: 3,
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});
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expect(performanceEvents(calls)).toHaveLength(0);
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expect(readConfig().notice_state?.performance_slow_query).toBeUndefined();
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});
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it("does not consume cap or emit when PostHog fails", async () => {
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consumeFirstRun();
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const { fetchMock, calls } = createFetchMock({ failFlags: true });
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global.fetch = fetchMock as any;
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const memory = await createMemory();
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await addSeed(memory);
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mockSearchElapsed(2345);
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await memory.search("favorite drink", {
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filters: { user_id: "performance-user" },
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topK: 3,
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});
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expect(performanceEvents(calls)).toHaveLength(0);
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expect(readConfig().notice_state?.performance_slow_query).toBeUndefined();
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});
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it("does nothing when telemetry is off", async () => {
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process.env.MEM0_TELEMETRY = "false";
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jest.resetModules();
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const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
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global.fetch = fetchMock as any;
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const memory = await createMemory();
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await addSeed(memory);
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mockSearchElapsed(2345);
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await memory.search("favorite drink", {
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filters: { user_id: "performance-user" },
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topK: 3,
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});
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expect(fetchMock).not.toHaveBeenCalled();
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expect(performanceEvents(calls)).toHaveLength(0);
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expect(readConfig().notice_state).toBeUndefined();
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});
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it("caps evaluated opportunities at 10 per rolling week", async () => {
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consumeFirstRun();
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const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
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global.fetch = fetchMock as any;
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const memory = await createMemory();
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await addSeed(memory);
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stderrSpy.mockClear();
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mockSearchElapsed(2345);
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for (let index = 1; index <= 11; index++) {
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await memory.search(`favorite drink ${index}`, {
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filters: { user_id: "performance-user" },
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topK: 3,
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});
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}
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expect(performanceEvents(calls)).toHaveLength(10);
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expect(flagRequestCount(fetchMock)).toBe(10);
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expect(stderrSpy).toHaveBeenCalledTimes(10);
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expect(
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readConfig().notice_state.performance_slow_query.events,
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).toHaveLength(10);
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});
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it("lets temporal usage and scale threshold take priority", async () => {
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consumeFirstRun();
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const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
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global.fetch = fetchMock as any;
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const memory = await createMemory();
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await addSeed(memory);
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mockSearchElapsed(2345);
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await memory.search("what happened last week?", {
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filters: { user_id: "performance-user" },
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topK: 3,
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});
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await memory.search("favorite drink", {
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filters: { user_id: "performance-user" },
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topK: 50,
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});
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expect(performanceEvents(calls)).toHaveLength(0);
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const noticeIds = noticeEvents(calls).map(
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(call) => call.properties.notice_id,
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);
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expect(noticeIds).toEqual(["temporal_usage", "scale_threshold"]);
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});
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it("does not consume first-run on the same qualifying performance call", async () => {
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const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
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global.fetch = fetchMock as any;
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const memory = await createMemory();
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mockSearchElapsed(2345);
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await memory.search("favorite drink", {
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filters: { user_id: "performance-user" },
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topK: 3,
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});
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expect(performanceEvents(calls)).toHaveLength(1);
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expect(readConfig().notice_state.first_run).toBeUndefined();
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});
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});
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