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https://github.com/hansjone/dsh-im-ops.git
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124 lines
4.5 KiB
JavaScript
124 lines
4.5 KiB
JavaScript
import assert from 'node:assert/strict';
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import test from 'node:test';
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import {
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createWeixinApi,
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extractWeixinText,
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normalizeWeixinApiBaseUrl,
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splitWeixinText,
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WeixinApiError,
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} from '../../../src/channels/weixin/weixin-api.mjs';
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function jsonResponse(value, init) {
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return new Response(JSON.stringify(value), {
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status: 200,
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headers: { 'content-type': 'application/json' },
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...init,
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});
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}
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test('QR login uses the Tencent iLink headers and keeps local tokens out of the URL', async () => {
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const calls = [];
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const api = createWeixinApi({
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fetchImpl: async (url, init) => {
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calls.push({ url: url.toString(), init });
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return jsonResponse({
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qrcode: 'private-qr-token',
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qrcode_img_content: 'https://liteapp.weixin.qq.com/q/example',
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});
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},
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});
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const login = await api.beginLogin({ localTokens: [' token-a ', 'token-a', 'token-b'] });
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assert.deepEqual(login, {
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qrcode: 'private-qr-token',
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qrcodeUrl: 'https://liteapp.weixin.qq.com/q/example',
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});
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assert.match(calls[0].url, /ilink\/bot\/get_bot_qrcode\?bot_type=3$/);
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assert.doesNotMatch(calls[0].url, /token-a|token-b/);
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assert.equal(calls[0].init.headers['iLink-App-Id'], 'bot');
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assert.equal(calls[0].init.headers['iLink-App-ClientVersion'], String((2 << 16) | (4 << 8) | 6));
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assert.equal(calls[0].init.headers.Authorization, undefined);
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assert.deepEqual(JSON.parse(calls[0].init.body), { local_token_list: ['token-a', 'token-b'] });
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});
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test('login polling submits a verification code only to an approved Weixin host', async () => {
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const calls = [];
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const api = createWeixinApi({
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fetchImpl: async (url, init) => {
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calls.push({ url: url.toString(), init });
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return jsonResponse({ status: 'scaned' });
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},
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});
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const status = await api.pollLogin({
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qrcode: 'secret-qr',
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baseUrl: 'https://shard.ilinkai.weixin.qq.com',
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verifyCode: '123456',
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});
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assert.equal(status.status, 'scaned');
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assert.match(calls[0].url, /qrcode=secret-qr&verify_code=123456$/);
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assert.equal(calls[0].init.method, 'GET');
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assert.equal(calls[0].init.headers.AuthorizationType, undefined);
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await assert.rejects(
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api.pollLogin({ qrcode: 'secret', baseUrl: 'https://attacker.test' }),
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(error) => error instanceof WeixinApiError && error.code === 'untrusted-base-url',
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);
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assert.equal(calls.length, 1);
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});
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test('sendText emits the iLink message envelope without reflecting the token in its body', async () => {
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const calls = [];
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const api = createWeixinApi({
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fetchImpl: async (url, init) => {
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calls.push({ url: url.toString(), init });
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return jsonResponse({ ret: 0 });
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},
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});
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await api.sendText({
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baseUrl: 'https://ilinkai.weixin.qq.com',
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token: 'host-only-token',
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toUserId: 'wx-user',
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text: 'Harness reply',
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contextToken: 'message-context',
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runId: 'run-1',
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});
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assert.equal(calls[0].init.headers.Authorization, 'Bearer host-only-token');
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const body = JSON.parse(calls[0].init.body);
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assert.equal(body.msg.to_user_id, 'wx-user');
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assert.equal(body.msg.context_token, 'message-context');
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assert.equal(body.msg.item_list[0].text_item.text, 'Harness reply');
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assert.equal(body.base_info.channel_version, '2.4.6');
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assert.equal(body.base_info.bot_agent, 'DeepSeekHarness/0.5.0');
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assert.doesNotMatch(calls[0].init.body, /host-only-token/);
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});
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test('getUpdates converts its own long-poll timeout into an empty successful poll', async () => {
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const api = createWeixinApi({
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fetchImpl: async (_url, init) => new Promise((_resolve, reject) => {
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init.signal.addEventListener('abort', () => reject(new DOMException('Aborted', 'AbortError')));
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}),
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});
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const result = await api.getUpdates({
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baseUrl: 'https://ilinkai.weixin.qq.com',
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token: 'token',
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getUpdatesBuf: 'cursor',
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timeoutMs: 2,
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});
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assert.deepEqual(result, { ret: 0, msgs: [], get_updates_buf: 'cursor' });
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});
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test('Weixin URL, inbound text, and reply chunk helpers enforce their narrow formats', () => {
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assert.equal(
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normalizeWeixinApiBaseUrl('https://ilinkai.weixin.qq.com/path'),
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'https://ilinkai.weixin.qq.com/path/',
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);
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assert.throws(() => normalizeWeixinApiBaseUrl('https://ilinkai.weixin.qq.com:444/'));
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assert.equal(extractWeixinText({ item_list: [{ type: 1, text_item: { text: ' 你好 ' } }] }), '你好');
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assert.equal(extractWeixinText({ item_list: [{ type: 3, voice_item: { text: '语音转写' } }] }), '语音转写');
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assert.deepEqual(splitWeixinText('abcdefgh', 5), ['abcde', 'fgh']);
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});
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