perf(test): remove module reloads in browser and embedding suites

This commit is contained in:
Peter Steinberger
2026-02-13 15:31:09 +00:00
parent 29d7839582
commit 5d8eef8b35
2 changed files with 78 additions and 133 deletions

View File

@@ -1,5 +1,8 @@
import { describe, expect, it, vi } from "vitest";
import { afterEach, describe, expect, it, vi } from "vitest";
import type { BrowserServerState } from "./server-context.js";
import * as cdpModule from "./cdp.js";
import * as pwAiModule from "./pw-ai-module.js";
import { createBrowserRouteContext } from "./server-context.js";
vi.mock("./chrome.js", () => ({
isChromeCdpReady: vi.fn(async () => true),
@@ -11,6 +14,13 @@ vi.mock("./chrome.js", () => ({
stopOpenClawChrome: vi.fn(async () => {}),
}));
const originalFetch = globalThis.fetch;
afterEach(() => {
globalThis.fetch = originalFetch;
vi.restoreAllMocks();
});
function makeState(
profile: "remote" | "openclaw",
): BrowserServerState & { profiles: Map<string, { lastTargetId?: string | null }> } {
@@ -46,7 +56,6 @@ function makeState(
describe("browser server-context remote profile tab operations", () => {
it("uses Playwright tab operations when available", async () => {
vi.resetModules();
const listPagesViaPlaywright = vi.fn(async () => [
{ targetId: "T1", title: "Tab 1", url: "https://a.example", type: "page" },
]);
@@ -58,11 +67,11 @@ describe("browser server-context remote profile tab operations", () => {
}));
const closePageByTargetIdViaPlaywright = vi.fn(async () => {});
vi.doMock("./pw-ai.js", () => ({
vi.spyOn(pwAiModule, "getPwAiModule").mockResolvedValue({
listPagesViaPlaywright,
createPageViaPlaywright,
closePageByTargetIdViaPlaywright,
}));
} as Awaited<ReturnType<typeof pwAiModule.getPwAiModule>>);
const fetchMock = vi.fn(async () => {
throw new Error("unexpected fetch");
@@ -70,7 +79,6 @@ describe("browser server-context remote profile tab operations", () => {
global.fetch = fetchMock;
const { createBrowserRouteContext } = await import("./server-context.js");
const state = makeState("remote");
const ctx = createBrowserRouteContext({ getState: () => state });
const remote = ctx.forProfile("remote");
@@ -91,7 +99,6 @@ describe("browser server-context remote profile tab operations", () => {
});
it("prefers lastTargetId for remote profiles when targetId is omitted", async () => {
vi.resetModules();
const responses = [
// ensureTabAvailable() calls listTabs twice
[
@@ -121,7 +128,7 @@ describe("browser server-context remote profile tab operations", () => {
return next;
});
vi.doMock("./pw-ai.js", () => ({
vi.spyOn(pwAiModule, "getPwAiModule").mockResolvedValue({
listPagesViaPlaywright,
createPageViaPlaywright: vi.fn(async () => {
throw new Error("unexpected create");
@@ -129,7 +136,7 @@ describe("browser server-context remote profile tab operations", () => {
closePageByTargetIdViaPlaywright: vi.fn(async () => {
throw new Error("unexpected close");
}),
}));
} as Awaited<ReturnType<typeof pwAiModule.getPwAiModule>>);
const fetchMock = vi.fn(async () => {
throw new Error("unexpected fetch");
@@ -137,7 +144,6 @@ describe("browser server-context remote profile tab operations", () => {
global.fetch = fetchMock;
const { createBrowserRouteContext } = await import("./server-context.js");
const state = makeState("remote");
const ctx = createBrowserRouteContext({ getState: () => state });
const remote = ctx.forProfile("remote");
@@ -149,16 +155,15 @@ describe("browser server-context remote profile tab operations", () => {
});
it("uses Playwright focus for remote profiles when available", async () => {
vi.resetModules();
const listPagesViaPlaywright = vi.fn(async () => [
{ targetId: "T1", title: "Tab 1", url: "https://a.example", type: "page" },
]);
const focusPageByTargetIdViaPlaywright = vi.fn(async () => {});
vi.doMock("./pw-ai.js", () => ({
vi.spyOn(pwAiModule, "getPwAiModule").mockResolvedValue({
listPagesViaPlaywright,
focusPageByTargetIdViaPlaywright,
}));
} as Awaited<ReturnType<typeof pwAiModule.getPwAiModule>>);
const fetchMock = vi.fn(async () => {
throw new Error("unexpected fetch");
@@ -166,7 +171,6 @@ describe("browser server-context remote profile tab operations", () => {
global.fetch = fetchMock;
const { createBrowserRouteContext } = await import("./server-context.js");
const state = makeState("remote");
const ctx = createBrowserRouteContext({ getState: () => state });
const remote = ctx.forProfile("remote");
@@ -181,12 +185,11 @@ describe("browser server-context remote profile tab operations", () => {
});
it("does not swallow Playwright runtime errors for remote profiles", async () => {
vi.resetModules();
vi.doMock("./pw-ai.js", () => ({
vi.spyOn(pwAiModule, "getPwAiModule").mockResolvedValue({
listPagesViaPlaywright: vi.fn(async () => {
throw new Error("boom");
}),
}));
} as Awaited<ReturnType<typeof pwAiModule.getPwAiModule>>);
const fetchMock = vi.fn(async () => {
throw new Error("unexpected fetch");
@@ -194,7 +197,6 @@ describe("browser server-context remote profile tab operations", () => {
global.fetch = fetchMock;
const { createBrowserRouteContext } = await import("./server-context.js");
const state = makeState("remote");
const ctx = createBrowserRouteContext({ getState: () => state });
const remote = ctx.forProfile("remote");
@@ -204,12 +206,7 @@ describe("browser server-context remote profile tab operations", () => {
});
it("falls back to /json/list when Playwright is not available", async () => {
vi.resetModules();
vi.doMock("./pw-ai.js", () => ({
listPagesViaPlaywright: undefined,
createPageViaPlaywright: undefined,
closePageByTargetIdViaPlaywright: undefined,
}));
vi.spyOn(pwAiModule, "getPwAiModule").mockResolvedValue(null);
const fetchMock = vi.fn(async (url: unknown) => {
const u = String(url);
@@ -232,7 +229,6 @@ describe("browser server-context remote profile tab operations", () => {
global.fetch = fetchMock;
const { createBrowserRouteContext } = await import("./server-context.js");
const state = makeState("remote");
const ctx = createBrowserRouteContext({ getState: () => state });
const remote = ctx.forProfile("remote");
@@ -245,15 +241,7 @@ describe("browser server-context remote profile tab operations", () => {
describe("browser server-context tab selection state", () => {
it("updates lastTargetId when openTab is created via CDP", async () => {
vi.resetModules();
vi.doUnmock("./pw-ai.js");
vi.doMock("./cdp.js", async () => {
const actual = await vi.importActual<typeof import("./cdp.js")>("./cdp.js");
return {
...actual,
createTargetViaCdp: vi.fn(async () => ({ targetId: "CREATED" })),
};
});
vi.spyOn(cdpModule, "createTargetViaCdp").mockResolvedValue({ targetId: "CREATED" });
const fetchMock = vi.fn(async (url: unknown) => {
const u = String(url);
@@ -276,7 +264,6 @@ describe("browser server-context tab selection state", () => {
global.fetch = fetchMock;
const { createBrowserRouteContext } = await import("./server-context.js");
const state = makeState("openclaw");
const ctx = createBrowserRouteContext({ getState: () => state });
const openclaw = ctx.forProfile("openclaw");

View File

@@ -1,5 +1,7 @@
import { afterEach, beforeAll, describe, expect, it, vi } from "vitest";
import { afterEach, describe, expect, it, vi } from "vitest";
import * as authModule from "../agents/model-auth.js";
import { DEFAULT_GEMINI_EMBEDDING_MODEL } from "./embeddings-gemini.js";
import { createEmbeddingProvider } from "./embeddings.js";
vi.mock("../agents/model-auth.js", () => ({
resolveApiKeyForProvider: vi.fn(),
@@ -11,6 +13,11 @@ vi.mock("../agents/model-auth.js", () => ({
},
}));
const importNodeLlamaCppMock = vi.fn();
vi.mock("./node-llama.js", () => ({
importNodeLlamaCpp: (...args: unknown[]) => importNodeLlamaCppMock(...args),
}));
const createFetchMock = () =>
vi.fn(async () => ({
ok: true,
@@ -27,9 +34,6 @@ describe("embedding provider remote overrides", () => {
it("uses remote baseUrl/apiKey and merges headers", async () => {
const fetchMock = createFetchMock();
vi.stubGlobal("fetch", fetchMock);
const { createEmbeddingProvider } = await import("./embeddings.js");
const authModule = await import("../agents/model-auth.js");
vi.mocked(authModule.resolveApiKeyForProvider).mockResolvedValue({
apiKey: "provider-key",
mode: "api-key",
@@ -81,9 +85,6 @@ describe("embedding provider remote overrides", () => {
it("falls back to resolved api key when remote apiKey is blank", async () => {
const fetchMock = createFetchMock();
vi.stubGlobal("fetch", fetchMock);
const { createEmbeddingProvider } = await import("./embeddings.js");
const authModule = await import("../agents/model-auth.js");
vi.mocked(authModule.resolveApiKeyForProvider).mockResolvedValue({
apiKey: "provider-key",
mode: "api-key",
@@ -125,9 +126,6 @@ describe("embedding provider remote overrides", () => {
json: async () => ({ embedding: { values: [1, 2, 3] } }),
})) as unknown as typeof fetch;
vi.stubGlobal("fetch", fetchMock);
const { createEmbeddingProvider } = await import("./embeddings.js");
const authModule = await import("../agents/model-auth.js");
vi.mocked(authModule.resolveApiKeyForProvider).mockResolvedValue({
apiKey: "provider-key",
mode: "api-key",
@@ -173,8 +171,6 @@ describe("embedding provider auto selection", () => {
});
it("prefers openai when a key resolves", async () => {
const { createEmbeddingProvider } = await import("./embeddings.js");
const authModule = await import("../agents/model-auth.js");
vi.mocked(authModule.resolveApiKeyForProvider).mockImplementation(async ({ provider }) => {
if (provider === "openai") {
return { apiKey: "openai-key", source: "env: OPENAI_API_KEY", mode: "api-key" };
@@ -200,9 +196,6 @@ describe("embedding provider auto selection", () => {
json: async () => ({ embedding: { values: [1, 2, 3] } }),
})) as unknown as typeof fetch;
vi.stubGlobal("fetch", fetchMock);
const { createEmbeddingProvider } = await import("./embeddings.js");
const authModule = await import("../agents/model-auth.js");
vi.mocked(authModule.resolveApiKeyForProvider).mockImplementation(async ({ provider }) => {
if (provider === "openai") {
throw new Error('No API key found for provider "openai".');
@@ -236,9 +229,6 @@ describe("embedding provider auto selection", () => {
json: async () => ({ data: [{ embedding: [1, 2, 3] }] }),
})) as unknown as typeof fetch;
vi.stubGlobal("fetch", fetchMock);
const { createEmbeddingProvider } = await import("./embeddings.js");
const authModule = await import("../agents/model-auth.js");
vi.mocked(authModule.resolveApiKeyForProvider).mockImplementation(async ({ provider }) => {
if (provider === "openai") {
return { apiKey: "openai-key", source: "env: OPENAI_API_KEY", mode: "api-key" };
@@ -264,31 +254,21 @@ describe("embedding provider auto selection", () => {
});
describe("embedding provider local fallback", () => {
beforeAll(() => {
vi.resetModules();
});
afterEach(() => {
vi.resetAllMocks();
vi.resetModules();
vi.unstubAllGlobals();
vi.doUnmock("./node-llama.js");
});
it("falls back to openai when node-llama-cpp is missing", async () => {
vi.doMock("./node-llama.js", () => ({
importNodeLlamaCpp: async () => {
throw Object.assign(new Error("Cannot find package 'node-llama-cpp'"), {
code: "ERR_MODULE_NOT_FOUND",
});
},
}));
importNodeLlamaCppMock.mockRejectedValue(
Object.assign(new Error("Cannot find package 'node-llama-cpp'"), {
code: "ERR_MODULE_NOT_FOUND",
}),
);
const fetchMock = createFetchMock();
vi.stubGlobal("fetch", fetchMock);
const { createEmbeddingProvider } = await import("./embeddings.js");
const authModule = await import("../agents/model-auth.js");
vi.mocked(authModule.resolveApiKeyForProvider).mockResolvedValue({
apiKey: "provider-key",
mode: "api-key",
@@ -308,15 +288,11 @@ describe("embedding provider local fallback", () => {
});
it("throws a helpful error when local is requested and fallback is none", async () => {
vi.doMock("./node-llama.js", () => ({
importNodeLlamaCpp: async () => {
throw Object.assign(new Error("Cannot find package 'node-llama-cpp'"), {
code: "ERR_MODULE_NOT_FOUND",
});
},
}));
const { createEmbeddingProvider } = await import("./embeddings.js");
importNodeLlamaCppMock.mockRejectedValue(
Object.assign(new Error("Cannot find package 'node-llama-cpp'"), {
code: "ERR_MODULE_NOT_FOUND",
}),
);
await expect(
createEmbeddingProvider({
@@ -332,31 +308,25 @@ describe("embedding provider local fallback", () => {
describe("local embedding normalization", () => {
afterEach(() => {
vi.resetAllMocks();
vi.resetModules();
vi.unstubAllGlobals();
vi.doUnmock("./node-llama.js");
});
it("normalizes local embeddings to magnitude ~1.0", async () => {
const unnormalizedVector = [2.35, 3.45, 0.63, 4.3, 1.2, 5.1, 2.8, 3.9];
vi.doMock("./node-llama.js", () => ({
importNodeLlamaCpp: async () => ({
getLlama: async () => ({
loadModel: vi.fn().mockResolvedValue({
createEmbeddingContext: vi.fn().mockResolvedValue({
getEmbeddingFor: vi.fn().mockResolvedValue({
vector: new Float32Array(unnormalizedVector),
}),
importNodeLlamaCppMock.mockResolvedValue({
getLlama: async () => ({
loadModel: vi.fn().mockResolvedValue({
createEmbeddingContext: vi.fn().mockResolvedValue({
getEmbeddingFor: vi.fn().mockResolvedValue({
vector: new Float32Array(unnormalizedVector),
}),
}),
}),
resolveModelFile: async () => "/fake/model.gguf",
LlamaLogLevel: { error: 0 },
}),
}));
const { createEmbeddingProvider } = await import("./embeddings.js");
resolveModelFile: async () => "/fake/model.gguf",
LlamaLogLevel: { error: 0 },
});
const result = await createEmbeddingProvider({
config: {} as never,
@@ -375,23 +345,19 @@ describe("local embedding normalization", () => {
it("handles zero vector without division by zero", async () => {
const zeroVector = [0, 0, 0, 0];
vi.doMock("./node-llama.js", () => ({
importNodeLlamaCpp: async () => ({
getLlama: async () => ({
loadModel: vi.fn().mockResolvedValue({
createEmbeddingContext: vi.fn().mockResolvedValue({
getEmbeddingFor: vi.fn().mockResolvedValue({
vector: new Float32Array(zeroVector),
}),
importNodeLlamaCppMock.mockResolvedValue({
getLlama: async () => ({
loadModel: vi.fn().mockResolvedValue({
createEmbeddingContext: vi.fn().mockResolvedValue({
getEmbeddingFor: vi.fn().mockResolvedValue({
vector: new Float32Array(zeroVector),
}),
}),
}),
resolveModelFile: async () => "/fake/model.gguf",
LlamaLogLevel: { error: 0 },
}),
}));
const { createEmbeddingProvider } = await import("./embeddings.js");
resolveModelFile: async () => "/fake/model.gguf",
LlamaLogLevel: { error: 0 },
});
const result = await createEmbeddingProvider({
config: {} as never,
@@ -409,23 +375,19 @@ describe("local embedding normalization", () => {
it("sanitizes non-finite values before normalization", async () => {
const nonFiniteVector = [1, Number.NaN, Number.POSITIVE_INFINITY, Number.NEGATIVE_INFINITY];
vi.doMock("./node-llama.js", () => ({
importNodeLlamaCpp: async () => ({
getLlama: async () => ({
loadModel: vi.fn().mockResolvedValue({
createEmbeddingContext: vi.fn().mockResolvedValue({
getEmbeddingFor: vi.fn().mockResolvedValue({
vector: new Float32Array(nonFiniteVector),
}),
importNodeLlamaCppMock.mockResolvedValue({
getLlama: async () => ({
loadModel: vi.fn().mockResolvedValue({
createEmbeddingContext: vi.fn().mockResolvedValue({
getEmbeddingFor: vi.fn().mockResolvedValue({
vector: new Float32Array(nonFiniteVector),
}),
}),
}),
resolveModelFile: async () => "/fake/model.gguf",
LlamaLogLevel: { error: 0 },
}),
}));
const { createEmbeddingProvider } = await import("./embeddings.js");
resolveModelFile: async () => "/fake/model.gguf",
LlamaLogLevel: { error: 0 },
});
const result = await createEmbeddingProvider({
config: {} as never,
@@ -447,25 +409,21 @@ describe("local embedding normalization", () => {
[1.0, 1.0, 1.0, 1.0],
];
vi.doMock("./node-llama.js", () => ({
importNodeLlamaCpp: async () => ({
getLlama: async () => ({
loadModel: vi.fn().mockResolvedValue({
createEmbeddingContext: vi.fn().mockResolvedValue({
getEmbeddingFor: vi
.fn()
.mockResolvedValueOnce({ vector: new Float32Array(unnormalizedVectors[0]) })
.mockResolvedValueOnce({ vector: new Float32Array(unnormalizedVectors[1]) })
.mockResolvedValueOnce({ vector: new Float32Array(unnormalizedVectors[2]) }),
}),
importNodeLlamaCppMock.mockResolvedValue({
getLlama: async () => ({
loadModel: vi.fn().mockResolvedValue({
createEmbeddingContext: vi.fn().mockResolvedValue({
getEmbeddingFor: vi
.fn()
.mockResolvedValueOnce({ vector: new Float32Array(unnormalizedVectors[0]) })
.mockResolvedValueOnce({ vector: new Float32Array(unnormalizedVectors[1]) })
.mockResolvedValueOnce({ vector: new Float32Array(unnormalizedVectors[2]) }),
}),
}),
resolveModelFile: async () => "/fake/model.gguf",
LlamaLogLevel: { error: 0 },
}),
}));
const { createEmbeddingProvider } = await import("./embeddings.js");
resolveModelFile: async () => "/fake/model.gguf",
LlamaLogLevel: { error: 0 },
});
const result = await createEmbeddingProvider({
config: {} as never,