fix: aggregate WeChat multi-image batches

This commit is contained in:
john
2026-07-18 19:53:09 +08:00
parent 341cf5ae89
commit 711a7d2061
3 changed files with 257 additions and 18 deletions
+144
View File
@@ -4029,6 +4029,150 @@ test('wechat mp serializes image and follow-up text and reattaches recent image'
assert.equal(submitCalls[1].userMessage.metadata.msgType, 'text');
});
test('wechat mp groups consecutive images for one follow-up and clears the consumed batch', async () => {
const token = 'token';
const timestamp = '1710000000';
const nonce = 'nonce';
const testUserId = 'test-user-multi-image-followup';
const submitCalls = [];
let eventCall = 0;
let releaseFirst = null;
const service = createBoundWechatService({
token,
config: {
mediaAnalysisGrayUsers: [testUserId],
},
userAuth: {
async findWechatUserByOpenid() {
return { userId: testUserId, status: 'active', nickname: '唐' };
},
},
sessionApiFetch: async (_sessionId, pathname) => {
if (pathname === '/sessions/session-1/events') {
eventCall += 1;
if (eventCall === 1) {
return new Response(
new ReadableStream({
start(controller) {
releaseFirst = () => {
controller.enqueue(
new TextEncoder().encode(
'data: {"type":"Message","message":{"id":"assistant-first","role":"assistant","metadata":{"userVisible":true},"content":[{"type":"text","text":"第一张处理完成。"}]}}\n\n' +
'data: {"type":"Finish"}\n\n',
),
);
controller.close();
};
},
}),
{ status: 200, headers: { 'Content-Type': 'text/event-stream' } },
);
}
return new Response(
[
'data: {"type":"Message","message":{"id":"assistant-ok","role":"assistant","metadata":{"userVisible":true},"content":[{"type":"text","text":"处理完成。"}]}}\n\n',
'data: {"type":"Finish"}\n\n',
].join(''),
{ status: 200, headers: { 'Content-Type': 'text/event-stream' } },
);
}
if (pathname === '/agent/harness_remember' || pathname === '/agent/harness_bootstrap') {
return new Response('{}', { status: 200, headers: { 'Content-Type': 'application/json' } });
}
throw new Error(`unexpected api path: ${pathname}`);
},
submitSessionReply: async (input) => {
submitCalls.push(input);
return { ok: true };
},
wechatFetch: async (url) => {
if (String(url).includes('/cgi-bin/stable_token')) {
return new Response(JSON.stringify({ access_token: 'access-1', expires_in: 7200 }), {
status: 200,
headers: { 'Content-Type': 'application/json' },
});
}
if (String(url).includes('/cgi-bin/media/get')) {
return new Response(Buffer.from([0x89, 0x50, 0x4e, 0x47]), {
status: 200,
headers: { 'Content-Type': 'image/png' },
});
}
if (String(url).includes('/cgi-bin/message/custom/send')) {
return new Response(JSON.stringify({ errcode: 0, errmsg: 'ok' }), {
status: 200,
headers: { 'Content-Type': 'application/json' },
});
}
throw new Error(`unexpected wechat url: ${url}`);
},
});
try {
const firstImageResult = await service.handleInboundMessage(
inboundXml({
msgType: 'image',
content: '',
extraFields: {
MsgId: '10011',
MediaId: 'media-first',
PicUrl: 'https://wx.example.com/media-first.png',
},
}),
{ timestamp, nonce, signature: signatureFor(token, timestamp, nonce) },
);
while (submitCalls.length === 0) await new Promise((resolve) => setTimeout(resolve, 0));
const secondImageResult = await service.handleInboundMessage(
inboundXml({
msgType: 'image',
content: '',
extraFields: {
MsgId: '10012',
MediaId: 'media-second',
PicUrl: 'https://wx.example.com/media-second.png',
},
}),
{ timestamp, nonce, signature: signatureFor(token, timestamp, nonce) },
);
const followupResult = await service.handleInboundMessage(
inboundXml({
content: '请结合刚才两张图片分析主题',
extraFields: { MsgId: '10013' },
}),
{ timestamp, nonce, signature: signatureFor(token, timestamp, nonce) },
);
await new Promise((resolve) => setTimeout(resolve, 0));
assert.equal(submitCalls.length, 1);
releaseFirst();
await firstImageResult.task;
await secondImageResult.task;
await followupResult.task;
const laterResult = await service.handleInboundMessage(
inboundXml({
content: '请再次分析刚才图片',
extraFields: { MsgId: '10014' },
}),
{ timestamp, nonce, signature: signatureFor(token, timestamp, nonce) },
);
await laterResult.task;
} finally {
fs.rmSync(path.join(process.cwd(), 'MindSpace', testUserId), { recursive: true, force: true });
}
assert.equal(submitCalls.length, 4);
assert.equal(submitCalls[0].userMessage.metadata.imageUrls.length, 1);
assert.equal(submitCalls[1].userMessage.metadata.imageUrls.length, 1);
assert.equal(submitCalls[2].userMessage.metadata.imageUrls.length, 2);
assert.match(submitCalls[2].userMessage.metadata.imageUrls[0], /media-first/);
assert.match(submitCalls[2].userMessage.metadata.imageUrls[1], /media-second/);
assert.equal(submitCalls[2].userMessage.metadata.msgType, 'text');
assert.equal(submitCalls[3].userMessage.metadata.imageUrls, undefined);
});
test('wechat mp service persists Word and Excel files in user public area and reuses H5 attachment metadata', async () => {
const token = 'token';
const timestamp = '1710000000';