237 lines
8.2 KiB
JavaScript
237 lines
8.2 KiB
JavaScript
const assert = require("node:assert/strict");
|
|
const fs = require("node:fs");
|
|
const path = require("node:path");
|
|
const test = require("node:test");
|
|
const vm = require("node:vm");
|
|
|
|
const ROOT = path.resolve(__dirname, "../..");
|
|
const ASSISTANT_SOURCE = fs.readFileSync(
|
|
path.join(ROOT, "apps/web-console/assistant-chat.js"),
|
|
"utf8",
|
|
);
|
|
|
|
class MockClassList {
|
|
constructor() {
|
|
this.values = new Set();
|
|
}
|
|
|
|
add(...names) { names.forEach((name) => this.values.add(name)); }
|
|
remove(...names) { names.forEach((name) => this.values.delete(name)); }
|
|
contains(name) { return this.values.has(name); }
|
|
toggle(name, force) {
|
|
const enabled = force === undefined ? !this.values.has(name) : Boolean(force);
|
|
if (enabled) this.values.add(name);
|
|
else this.values.delete(name);
|
|
return enabled;
|
|
}
|
|
}
|
|
|
|
class MockEventTarget {
|
|
constructor() {
|
|
this.listeners = new Map();
|
|
}
|
|
|
|
addEventListener(type, listener) {
|
|
const listeners = this.listeners.get(type) || [];
|
|
listeners.push(listener);
|
|
this.listeners.set(type, listeners);
|
|
}
|
|
|
|
removeEventListener(type, listener) {
|
|
const listeners = this.listeners.get(type) || [];
|
|
this.listeners.set(type, listeners.filter((candidate) => candidate !== listener));
|
|
}
|
|
|
|
dispatchEvent(event) {
|
|
if (!event?.type) throw new TypeError("event.type is required");
|
|
if (!event.target) event.target = this;
|
|
for (const listener of this.listeners.get(event.type) || []) listener.call(this, event);
|
|
return event.defaultPrevented !== true;
|
|
}
|
|
}
|
|
|
|
class MockElement extends MockEventTarget {
|
|
constructor(tagName = "div") {
|
|
super();
|
|
this.attributes = new Map();
|
|
this.children = [];
|
|
this.classList = new MockClassList();
|
|
this.dataset = {};
|
|
this.disabled = false;
|
|
this.hidden = false;
|
|
this.id = "";
|
|
this.innerHTML = "";
|
|
this.parentElement = null;
|
|
this.scrollHeight = 100;
|
|
this.scrollTop = 100;
|
|
this.clientHeight = 100;
|
|
this.style = {};
|
|
this.tagName = tagName.toUpperCase();
|
|
this.textContent = "";
|
|
this.title = "";
|
|
this.value = "";
|
|
}
|
|
|
|
append(...nodes) {
|
|
nodes.forEach((node) => {
|
|
this.children.push(node);
|
|
if (node && typeof node === "object") node.parentElement = this;
|
|
});
|
|
}
|
|
|
|
focus() {}
|
|
querySelector() { return null; }
|
|
replaceChildren(...nodes) {
|
|
this.children = [];
|
|
this.append(...nodes);
|
|
}
|
|
setAttribute(name, value) { this.attributes.set(name, String(value)); }
|
|
toggleAttribute(name, force) { this[name] = Boolean(force); }
|
|
}
|
|
|
|
function ndjsonResponse(events) {
|
|
const chunks = events.map((event) => Buffer.from(`${JSON.stringify(event)}\n`, "utf8"));
|
|
let index = 0;
|
|
return {
|
|
ok: true,
|
|
status: 200,
|
|
body: {
|
|
getReader() {
|
|
return {
|
|
async cancel() {},
|
|
async read() {
|
|
if (index >= chunks.length) return { done: true, value: undefined };
|
|
return { done: false, value: chunks[index++] };
|
|
},
|
|
releaseLock() {},
|
|
};
|
|
},
|
|
},
|
|
};
|
|
}
|
|
|
|
function createHarness(events) {
|
|
const document = new MockEventTarget();
|
|
const windowEvents = new MockEventTarget();
|
|
const body = new MockElement("body");
|
|
const input = new MockElement("textarea");
|
|
const messages = new MockElement("div");
|
|
const runButton = new MockElement("button");
|
|
const transcript = new MockElement("section");
|
|
input.id = "utterance";
|
|
messages.id = "assistantMessages";
|
|
runButton.id = "runButton";
|
|
transcript.id = "assistantTranscript";
|
|
const selectors = new Map([
|
|
["#utterance", input],
|
|
["#assistantMessages", messages],
|
|
["#runButton", runButton],
|
|
["#assistantTranscript", transcript],
|
|
]);
|
|
document.body = body;
|
|
document.createElement = (tagName) => new MockElement(tagName);
|
|
document.createTextNode = (text) => ({ nodeType: 3, textContent: String(text) });
|
|
document.querySelector = (selector) => selectors.get(selector) || null;
|
|
document.querySelectorAll = (selector) => (
|
|
selector === "#assistantMessages [data-message-role]" ? [...messages.children] : []
|
|
);
|
|
|
|
const storage = new Map();
|
|
const requestCalls = [];
|
|
const completed = [];
|
|
windowEvents.addEventListener("cognitive-agent:request-complete", (event) => {
|
|
completed.push(event.detail);
|
|
});
|
|
const sandbox = {
|
|
AbortController,
|
|
Buffer,
|
|
CSS: { escape: (value) => String(value) },
|
|
CustomEvent: class CustomEvent {
|
|
constructor(type, options = {}) { this.type = type; this.detail = options.detail; }
|
|
},
|
|
Element: MockElement,
|
|
Event: class Event {
|
|
constructor(type, options = {}) { this.type = type; this.bubbles = options.bubbles === true; }
|
|
},
|
|
HTMLFormElement: class HTMLFormElement extends MockElement {},
|
|
JSON,
|
|
Math,
|
|
Promise,
|
|
TextDecoder,
|
|
Uint8Array,
|
|
clearTimeout,
|
|
console,
|
|
crypto: { randomUUID: () => `runtime-${requestCalls.length}-${messages.children.length}` },
|
|
document,
|
|
localStorage: { getItem: () => null, removeItem() {}, setItem() {} },
|
|
requestAnimationFrame: (callback) => callback(),
|
|
sessionStorage: {
|
|
getItem: (key) => storage.get(key) || null,
|
|
removeItem: (key) => storage.delete(key),
|
|
setItem: (key, value) => storage.set(key, String(value)),
|
|
},
|
|
setTimeout,
|
|
__N7WEB_ASSISTANT_TEST__: true,
|
|
};
|
|
sandbox.window = sandbox;
|
|
sandbox.addEventListener = windowEvents.addEventListener.bind(windowEvents);
|
|
sandbox.removeEventListener = windowEvents.removeEventListener.bind(windowEvents);
|
|
sandbox.dispatchEvent = windowEvents.dispatchEvent.bind(windowEvents);
|
|
sandbox.CognitiveAgentConsole = { getExecutionMode: () => "dry_run" };
|
|
sandbox.CognitiveAgentNetwork = {
|
|
async request(url, options) {
|
|
requestCalls.push({ url, options });
|
|
return ndjsonResponse(events);
|
|
},
|
|
};
|
|
vm.createContext(sandbox);
|
|
vm.runInContext(ASSISTANT_SOURCE, sandbox, { filename: "assistant-chat.js" });
|
|
return { completed, input, messages, requestCalls, sandbox };
|
|
}
|
|
|
|
test("a late NDJSON model error is rendered after an HTTP 200 stream", async () => {
|
|
const publicMessage = "Codex AI 助手暂时没有响应,请稍后再试。";
|
|
const harness = createHarness([
|
|
{ type: "message.accepted", route: "agent", engine: "codex-app-server" },
|
|
{ type: "work.started", display_text: "Codex 正在理解并处理……" },
|
|
{ type: "work.progress", display_text: "Codex 正在重新连接……" },
|
|
{ type: "error", error: "assistant_model_failed", message: publicMessage },
|
|
]);
|
|
harness.input.value = "解释一下 CAN FD";
|
|
|
|
await harness.sandbox.CognitiveAgentAssistant.submit();
|
|
|
|
assert.equal(harness.requestCalls.length, 1);
|
|
assert.equal(harness.requestCalls[0].url, "/api/assistant/stream");
|
|
assert.equal(harness.requestCalls[0].options.method, "POST");
|
|
assert.equal(harness.requestCalls[0].options.headers.Accept, "application/x-ndjson");
|
|
assert.equal(harness.messages.children.length, 2);
|
|
const assistantArticle = harness.messages.children[1];
|
|
assert.equal(assistantArticle.dataset.messageRole, "assistant");
|
|
assert.equal(assistantArticle.dataset.messageContent, publicMessage);
|
|
const actionStatus = assistantArticle.children.at(-1).children.at(-1);
|
|
assert.equal(actionStatus.className, "assistant-action-status failed");
|
|
assert.equal(actionStatus.children.at(-1).textContent, "本次请求未完成");
|
|
assert.equal(harness.completed.length, 1);
|
|
assert.equal(harness.completed[0].error.code, "assistant_model_failed");
|
|
assert.equal(harness.completed[0].error.message, publicMessage);
|
|
assert.equal(harness.completed[0].result, null);
|
|
});
|
|
|
|
test("a completed NDJSON answer remains the authoritative visible response", async () => {
|
|
const harness = createHarness([
|
|
{ type: "message.accepted", route: "agent", engine: "codex-app-server" },
|
|
{ type: "answer.delta", delta: "流式草稿" },
|
|
{ type: "work.completed", success: true, display_text: "Codex 已完成" },
|
|
{ type: "answer.completed", route: "agent", answer: "最终回答" },
|
|
]);
|
|
harness.input.value = "普通问题";
|
|
|
|
await harness.sandbox.CognitiveAgentAssistant.submit();
|
|
|
|
const assistantArticle = harness.messages.children[1];
|
|
assert.equal(assistantArticle.dataset.messageContent, "最终回答");
|
|
assert.equal(harness.completed.length, 1);
|
|
assert.equal(harness.completed[0].error, null);
|
|
});
|