Files
memind/tkmind-proxy-vision.test.mjs
2026-07-18 19:53:09 +08:00

143 lines
5.0 KiB
JavaScript

import assert from 'node:assert/strict';
import test from 'node:test';
import { buildVisionPayload, extractImageUrlsFromMessage } from './tkmind-proxy.mjs';
test('extractImageUrlsFromMessage reads metadata image urls', () => {
const urls = extractImageUrlsFromMessage({
metadata: {
imageUrls: ['/api/mindspace/v1/assets/asset-1/download?inline=1'],
},
content: [{ type: 'text', text: '根据图片生成页面' }],
});
assert.deepEqual(urls, ['/api/mindspace/v1/assets/asset-1/download?inline=1']);
});
test('extractImageUrlsFromMessage falls back to formatted image lines', () => {
const urls = extractImageUrlsFromMessage({
metadata: { userVisible: true, agentVisible: true },
content: [
{
type: 'text',
text:
'根据图片生成一个主题页面\n\n' +
'[图片1]: https://m.tkmind.cn/api/mindspace/v1/assets/asset-2/download?inline=1&v=123',
},
],
});
assert.deepEqual(urls, [
'https://m.tkmind.cn/api/mindspace/v1/assets/asset-2/download?inline=1&v=123',
]);
});
test('extractImageUrlsFromMessage deduplicates image urls', () => {
const url = '/api/mindspace/v1/assets/asset-3/download?inline=1';
const urls = extractImageUrlsFromMessage({
metadata: { imageUrls: [url] },
content: [{ type: 'text', text: `[图片1]: ${url}` }],
});
assert.deepEqual(urls, [url]);
});
test('extractImageUrlsFromMessage ignores content aliases when metadata is present', () => {
const urls = extractImageUrlsFromMessage({
metadata: {
imageUrls: ['/api/mindspace/v1/assets/asset-4/download?inline=1'],
},
content: [
{
type: 'text',
text:
'[图片1]: https://m.tkmind.cn/MindSpace/user/public/images/2026-07-10/asset-4.jpg',
},
],
});
assert.deepEqual(urls, ['/api/mindspace/v1/assets/asset-4/download?inline=1']);
});
test('buildVisionPayload marks one billable image analysis when vision succeeds', async () => {
const result = await buildVisionPayload({
userId: 'user-1',
publishLayout: { publicUrl: 'https://m.tkmind.cn/MindSpace/user-1' },
userMessage: {
content: [{ type: 'text', text: '根据图片生成页面\n\n[图片1]: /api/mindspace/v1/assets/asset-1/download?inline=1' }],
},
localFetchAsset: async () => ({
buffer: Buffer.from('fake-image'),
mimeType: 'image/png',
}),
llmProviderService: {
analyzeImagesWithVision: async () => '一位小女孩正在餐厅里开心地吃饭',
},
});
assert.equal(result?.billableImageCount, 1);
assert.match(result?.userMessage?.content?.[0]?.text ?? '', /Qwen VL 图片描述/);
assert.match(result?.userMessage?.content?.[0]?.text ?? '', /本轮图片主题/);
assert.equal(
result?.userMessage?.metadata?.displayText,
'根据图片生成页面\n\n[图片1]: /api/mindspace/v1/assets/asset-1/download?inline=1',
);
});
test('buildVisionPayload sends all current-turn images to Qwen in order', async () => {
const imageUrls = [
'https://m.tkmind.cn/MindSpace/user-1/public/wechat-mp/first.jpg',
'https://m.tkmind.cn/MindSpace/user-1/public/wechat-mp/second.jpg',
];
let analyzedImages = [];
const result = await buildVisionPayload({
userId: 'user-1',
publishLayout: { publicUrl: 'https://m.tkmind.cn/MindSpace/user-1' },
userMessage: {
content: [{ type: 'text', text: '请结合两张图片生成页面' }],
metadata: { imageUrls },
},
fetchImpl: async () =>
new Response(Buffer.from('fake-image'), {
status: 200,
headers: { 'Content-Type': 'image/jpeg' },
}),
llmProviderService: {
analyzeImagesWithVision: async (images) => {
analyzedImages = images;
return '第一张是宝塔,第二张是晚霞。';
},
},
});
assert.equal(analyzedImages.length, 2);
assert.deepEqual(analyzedImages.map((item) => item.rawUrl), imageUrls);
assert.deepEqual(result?.userMessage?.metadata?.imageUrls, [
'/MindSpace/user-1/public/wechat-mp/first.jpg',
'/MindSpace/user-1/public/wechat-mp/second.jpg',
]);
assert.match(result?.userMessage?.content?.[0]?.text ?? '', /本轮用户仅上传 2 张图片/);
assert.match(result?.userMessage?.content?.[0]?.text ?? '', /图片2/);
});
test('buildVisionPayload does not mark billable usage when vision analysis fails', async () => {
const result = await buildVisionPayload({
userId: 'user-1',
publishLayout: { publicUrl: 'https://m.tkmind.cn/MindSpace/user-1' },
userMessage: {
content: [{ type: 'text', text: '根据图片生成页面\n\n[图片1]: /api/mindspace/v1/assets/asset-1/download?inline=1' }],
},
localFetchAsset: async () => ({
buffer: Buffer.from('fake-image'),
mimeType: 'image/png',
}),
llmProviderService: {
analyzeImagesWithVision: async () => {
throw new Error('vision unavailable');
},
},
});
assert.equal(result?.billableImageCount, 0);
assert.doesNotMatch(result?.userMessage?.content?.[0]?.text ?? '', /Qwen VL 图片描述/);
});