feat: rewire routes to BullMQ and speed up documents page

This commit is contained in:
ff
2026-04-13 20:43:21 -04:00
parent 4e981c644f
commit 05a8a220bd
5 changed files with 171 additions and 526 deletions

View File

@@ -1,49 +1,56 @@
import { Router, Request, Response } from "express";
import multer from "multer";
import { forwardToPaymentOCRService } from "../services/paymentOCRService";
import { ocrQueue } from "../queue/queues";
const router = Router();
// keep files in memory; FastAPI accepts them as multipart bytes
const upload = multer({ storage: multer.memoryStorage() });
const ALLOWED_MIMES = new Set([
"image/jpeg",
"image/png",
"image/tiff",
"image/bmp",
"image/jpg",
]);
// POST /payment-ocr/extract (field name: "files")
router.post(
"/extract",
upload.array("files"), // allow multiple images
upload.array("files"),
async (req: Request, res: Response): Promise<any> => {
try {
const files = req.files as Express.Multer.File[] | undefined;
const files = req.files as Express.Multer.File[] | undefined;
if (!files || files.length === 0) {
return res
.status(400)
.json({ error: "No image files uploaded. Use field name 'files'." });
}
// (optional) basic client-side MIME guard
const allowed = new Set([
"image/jpeg",
"image/png",
"image/tiff",
"image/bmp",
"image/jpg",
]);
const bad = files.filter((f) => !allowed.has(f.mimetype.toLowerCase()));
if (bad.length) {
return res.status(415).json({
error: `Unsupported file types: ${bad
.map((b) => b.originalname)
.join(", ")}`,
});
}
const rows = await forwardToPaymentOCRService(files);
return res.json({ rows });
} catch (err) {
console.error(err);
return res.status(500).json({ error: "Payment OCR extraction failed" });
if (!files || files.length === 0) {
return res
.status(400)
.json({ error: "No image files uploaded. Use field name 'files'." });
}
const bad = files.filter((f) => !ALLOWED_MIMES.has(f.mimetype.toLowerCase()));
if (bad.length) {
return res.status(415).json({
error: `Unsupported file types: ${bad.map((b) => b.originalname).join(", ")}`,
});
}
const filesForQueue = files.map((f) => ({
originalname: f.originalname,
bufferBase64: f.buffer.toString("base64"),
mimetype: f.mimetype,
}));
const socketId: string | undefined =
(req.body?.socketId as string) ?? undefined;
const job = await ocrQueue.add("ocr", {
userId: (req.user as any)?.id ?? 0,
socketId,
files: filesForQueue,
});
return res.json({ jobId: job.id, status: "queued" });
}
);