Files
mem0/mem0-ts/src/oss/tests/notices.performance-slow-query.test.ts
T

493 lines
14 KiB
TypeScript

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