Files
mem0/mem0-ts/src/oss/tests/pgvector.unit.test.ts
T

245 lines
6.1 KiB
TypeScript

const searchRows = [
{
id: "a",
payload: { data: "exactly x-axis" },
distance: "0",
},
{
id: "b",
payload: { data: "close to x-axis" },
distance: "0.006116251198662548",
},
{
id: "c",
payload: { data: "y-axis" },
distance: "1",
},
{
id: "d",
payload: { data: "opposite x-axis" },
distance: "2",
},
];
const mockState = {
databaseExists: true,
};
function mockPgQuery(sql: string) {
if (sql.includes("SELECT 1 FROM pg_database")) {
return { rows: mockState.databaseExists ? [{ "?column?": 1 }] : [] };
}
if (sql.includes("FROM information_schema.tables")) {
return { rows: [{ table_name: "memories" }] };
}
if (sql.includes("vector <=> $1::vector AS distance")) {
return { rows: searchRows };
}
return { rows: [] };
}
jest.mock("pg", () => {
const clients: any[] = [];
const Client = jest.fn().mockImplementation((config: any) => {
const client = {
config,
connect: jest.fn().mockResolvedValue(undefined),
end: jest.fn().mockResolvedValue(undefined),
query: jest
.fn()
.mockImplementation(async (sql: string) => mockPgQuery(sql)),
};
clients.push(client);
return client;
});
const escapeIdentifier = (str: string) => `"${str.replace(/"/g, '""')}"`;
return {
__esModule: true,
default: { Client, escapeIdentifier },
Client,
escapeIdentifier,
__mock: { Client, clients },
};
});
import { PGVector } from "../src/vector_stores/pgvector";
function getClientQueries(client: { query: jest.Mock }) {
return client.query.mock.calls.map(([sql]) => sql as string);
}
describe("PGVector", () => {
beforeEach(() => {
const pg = require("pg");
mockState.databaseExists = true;
pg.__mock.Client.mockClear();
pg.__mock.clients.length = 0;
});
test("uses one direct client for connectionString mode and skips bootstrap database creation", async () => {
mockState.databaseExists = false;
const ssl = { rejectUnauthorized: false };
const store = new PGVector({
collectionName: "memories",
connectionString:
"postgresql://postgres:postgres@db.example.com:5432/neondb",
ssl,
embeddingModelDims: 3,
dimension: 3,
} as any);
await store.initialize();
const pg = require("pg");
expect(pg.__mock.Client).toHaveBeenCalledTimes(1);
expect(pg.__mock.Client).toHaveBeenCalledWith({
connectionString:
"postgresql://postgres:postgres@db.example.com:5432/neondb",
ssl,
});
const directClient = pg.__mock.clients[0];
const queries = getClientQueries(directClient);
expect(queries).not.toEqual(
expect.arrayContaining([
expect.stringContaining("SELECT 1 FROM pg_database"),
]),
);
expect(queries).not.toEqual(
expect.arrayContaining([expect.stringContaining("CREATE DATABASE")]),
);
expect(queries).toEqual(
expect.arrayContaining([
"CREATE EXTENSION IF NOT EXISTS vector",
expect.stringContaining("FROM information_schema.tables"),
]),
);
});
test("keeps the split-field bootstrap flow when connectionString is absent", async () => {
mockState.databaseExists = false;
const ssl = { rejectUnauthorized: false };
const store = new PGVector({
collectionName: "memories",
user: "postgres",
password: "postgres",
host: "localhost",
port: 5432,
dbname: "vector_store",
ssl,
embeddingModelDims: 3,
dimension: 3,
} as any);
await store.initialize();
const pg = require("pg");
expect(pg.__mock.Client).toHaveBeenCalledTimes(2);
expect(pg.__mock.Client).toHaveBeenNthCalledWith(1, {
database: "postgres",
user: "postgres",
password: "postgres",
host: "localhost",
port: 5432,
ssl,
});
expect(pg.__mock.Client).toHaveBeenNthCalledWith(2, {
database: "vector_store",
user: "postgres",
password: "postgres",
host: "localhost",
port: 5432,
ssl,
});
const bootstrapClient = pg.__mock.clients[0];
const activeClient = pg.__mock.clients[1];
const bootstrapQueries = getClientQueries(bootstrapClient);
expect(bootstrapQueries).toEqual(
expect.arrayContaining([
"SELECT 1 FROM pg_database WHERE datname = $1",
'CREATE DATABASE "vector_store"',
]),
);
expect(bootstrapClient.end).toHaveBeenCalledTimes(1);
expect(getClientQueries(activeClient)).toEqual(
expect.arrayContaining([
"CREATE EXTENSION IF NOT EXISTS vector",
expect.stringContaining("FROM information_schema.tables"),
]),
);
});
test("throws when connectionString is absent and split-field params are missing", () => {
expect(
() =>
new PGVector({
collectionName: "memories",
embeddingModelDims: 3,
dimension: 3,
} as any),
).toThrow(
"PGVector requires either connectionString or user, password, host, port",
);
});
test("returns similarity score (1 - distance) clamped to [0, 1]", async () => {
const store = new PGVector({
collectionName: "memories",
user: "postgres",
password: "postgres",
host: "localhost",
port: 5432,
embeddingModelDims: 3,
dimension: 3,
} as any);
await store.initialize();
const results = await store.search([1, 0, 0], 4);
expect(results).toEqual([
{
id: "a",
payload: { data: "exactly x-axis" },
score: 1,
},
{
id: "b",
payload: { data: "close to x-axis" },
score: 0.9938837488013375,
},
{
id: "c",
payload: { data: "y-axis" },
score: 0,
},
{
id: "d",
payload: { data: "opposite x-axis" },
score: 0,
},
]);
const pg = require("pg");
expect(pg.__mock.Client).toHaveBeenCalledTimes(2);
const activeClient = pg.__mock.clients[1];
expect(activeClient.query).toHaveBeenCalledWith(
expect.stringContaining("vector <=> $1::vector AS distance"),
["[1,0,0]", 4],
);
});
});