90302a76b7
- apps/Backend/src/queue/: connection, queues, workers, processors - apps/Frontend/src/hooks/use-job-status.ts: WebSocket job progress hook - apps/Frontend/src/lib/socket.ts: shared Socket.IO singleton Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
43 lines
1.0 KiB
TypeScript
43 lines
1.0 KiB
TypeScript
/**
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* Processor for "ocr" jobs.
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* Calls the PaymentOCR Python service with the uploaded files.
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*/
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import axios from "axios";
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import FormData from "form-data";
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const OCR_BASE_URL =
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process.env.OCR_SERVICE_BASE_URL || "http://localhost:5003";
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export interface OcrProcessorInput {
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files: { originalname: string; bufferBase64: string; mimetype: string }[];
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}
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export async function runOcrProcessor(
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input: OcrProcessorInput
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): Promise<any[]> {
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const { files } = input;
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const form = new FormData();
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for (const f of files) {
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const buf = Buffer.from(f.bufferBase64, "base64");
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form.append("files", buf, {
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filename: f.originalname,
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contentType: f.mimetype,
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knownLength: buf.length,
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});
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}
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const resp = await axios.post<{ rows: any[] }>(
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`${OCR_BASE_URL}/extract/json`,
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form,
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{
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headers: form.getHeaders(),
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maxBodyLength: Infinity,
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maxContentLength: Infinity,
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timeout: 180_000, // OCR can be heavy; 3-minute limit
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}
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);
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return resp.data?.rows ?? [];
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}
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