432 lines
14 KiB
TypeScript
432 lines
14 KiB
TypeScript
// PaymentOCRBlock.tsx
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import * as React from "react";
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import { Card, CardContent } from "@/components/ui/card";
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import { Button } from "@/components/ui/button";
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import { Upload, Image as ImageIcon, X, Plus, Minus } from "lucide-react";
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import { useMutation } from "@tanstack/react-query";
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import { apiRequest } from "@/lib/queryClient";
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import { toast } from "@/hooks/use-toast";
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import {
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useReactTable,
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getCoreRowModel,
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flexRender,
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ColumnDef,
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} from "@tanstack/react-table";
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import { convertOCRDate } from "@/utils/dateUtils";
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// ---------------- Types ----------------
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type Row = { __id: number } & Record<string, string | number | null>;
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export default function PaymentOCRBlock() {
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// UI state
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const [uploadedImages, setUploadedImages] = React.useState<File[]>([]);
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const [isDragging, setIsDragging] = React.useState(false);
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const [isExtracting, setIsExtracting] = React.useState(false);
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const [rows, setRows] = React.useState<Row[]>([]);
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const [columns, setColumns] = React.useState<ColumnDef<Row>[]>([]);
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const [error, setError] = React.useState<string | null>(null);
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//Mutation
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const extractPaymentOCR = useMutation({
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mutationFn: async (files: File[]) => {
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const formData = new FormData();
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files.forEach((file) => formData.append("files", file, file.name));
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const res = await apiRequest(
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"POST",
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"/api/payment-ocr/extract",
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formData
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);
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if (!res.ok) throw new Error("Failed to extract payment data");
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const data = (await res.json()) as { rows: Row[] } | Row[];
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return Array.isArray(data) ? data : data.rows;
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},
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onSuccess: (data) => {
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// Remove unwanted keys before using the data
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const cleaned = data.map((row) => {
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const { ["Extraction Success"]: _, ["Source File"]: __, ...rest } = row;
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return rest;
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});
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const withIds: Row[] = cleaned.map((r, i) => ({ ...r, __id: i }));
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setRows(withIds);
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const allKeys = Array.from(
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cleaned.reduce<Set<string>>((acc, row) => {
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Object.keys(row).forEach((k) => acc.add(k));
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return acc;
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}, new Set())
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);
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setColumns(
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allKeys.map((key) => ({
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id: key, // ✅ unique identifier
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header: key,
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cell: ({ row }) => (
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<input
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className="w-full border rounded p-1"
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value={(row.original[key] as string) ?? ""}
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onChange={(e) => {
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const newData = [...rows];
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newData[row.index] = {
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...newData[row.index],
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__id: newData[row.index]!.__id,
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[key]: e.target.value,
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};
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setRows(newData);
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}}
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/>
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),
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}))
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);
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setIsExtracting(false);
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},
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onError: (error: any) => {
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toast({
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title: "Error",
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description: `Failed to extract payment data: ${error.message}`,
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variant: "destructive",
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});
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setIsExtracting(false);
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},
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});
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// ---- Table instance ----
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const table = useReactTable({
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data: rows,
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columns,
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getCoreRowModel: getCoreRowModel(),
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});
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// ---- handlers (all in this file) -----------------------------------------
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const handleImageSelect = (e: React.ChangeEvent<HTMLInputElement>) => {
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const list = Array.from(e.target.files || []);
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if (!list.length) return;
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if (list.length > 10) {
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setError("You can only upload up to 10 images.");
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return;
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}
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setUploadedImages(list);
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setError(null);
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};
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const handleImageDrop = (e: React.DragEvent<HTMLDivElement>) => {
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e.preventDefault();
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setIsDragging(false);
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const list = Array.from(e.dataTransfer.files || []).filter((f) =>
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f.type.startsWith("image/")
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);
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if (!list.length) {
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setError("Please drop image files (JPG/PNG/TIFF/BMP).");
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return;
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}
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if (list.length > 10) {
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setError("You can only upload up to 10 images.");
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return;
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}
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setUploadedImages(list);
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setError(null);
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};
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const removeUploadedImage = (index: number) => {
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setUploadedImages((prev) => {
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const next = prev.filter((_, i) => i !== index);
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if (next.length === 0) {
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setRows([]);
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setColumns([]);
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setError(null);
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}
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return next;
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});
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};
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const handleExtract = () => {
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if (!uploadedImages.length) return;
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setIsExtracting(true);
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extractPaymentOCR.mutate(uploadedImages);
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};
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const handleSave = async () => {
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try {
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const skipped: string[] = [];
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const payload = rows
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.map((row, idx) => {
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const patientName = row["Patient Name"];
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const patientId = row["Patient ID"];
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const procedureCode = row["CDT Code"];
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if (!patientName || !patientId || !procedureCode) {
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skipped.push(`Row ${idx + 1} (missing name/id/procedureCode)`);
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return null;
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}
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return {
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patientName,
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insuranceId: patientId,
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icn: row["ICN"] ?? null,
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procedureCode: row["CDT Code"],
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toothNumber: row["Tooth"] ?? null,
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toothSurface: row["Surface"] ?? null,
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procedureDate: row["Date SVC"] ?? null,
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totalBilled: Number(row["Billed Amount"] ?? 0),
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totalAllowed: Number(row["Allowed Amount"] ?? 0),
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totalPaid: Number(row["Paid Amount"] ?? 0),
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sourceFile: row["Source File"] ?? null,
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};
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})
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.filter((r) => r !== null);
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if (skipped.length > 0) {
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toast({
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title:
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"Some rows skipped, because of either no patient Name or MemberId given.",
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description: skipped.join(", "),
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variant: "destructive",
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});
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}
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if (payload.length === 0) {
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toast({
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title: "Error",
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description: "No valid rows to save",
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variant: "destructive",
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});
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return;
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}
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const res = await apiRequest("POST", "/api/payments/full-ocr-import", {
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rows: payload,
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});
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if (!res.ok) throw new Error("Failed to save OCR payments");
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toast({ title: "Saved", description: "OCR rows saved successfully" });
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} catch (err: any) {
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toast({
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title: "Error",
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description: err.message,
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variant: "destructive",
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});
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}
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};
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//rows helper
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const handleAddRow = () => {
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const newRow: Row = { __id: rows.length };
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columns.forEach((c) => {
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if (c.id) newRow[c.id] = "";
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});
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setRows((prev) => [...prev, newRow]);
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};
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const handleDeleteRow = (index: number) => {
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setRows((prev) => prev.filter((_, i) => i !== index));
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};
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return (
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<div className="mb-8">
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<div className="flex items-center justify-between mb-4">
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<h2 className="text-xl font-medium text-gray-800">
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Payment Document OCR
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</h2>
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</div>
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<Card>
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<CardContent className="p-6 space-y-6">
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{/* Upload block */}
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<div
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className={`flex-1 border-2 border-dashed rounded-lg p-8 text-center transition-colors ${
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isDragging
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? "border-blue-400 bg-blue-50"
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: uploadedImages.length
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? "border-green-400 bg-green-50"
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: "border-gray-300 bg-gray-50 hover:border-gray-400"
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}`}
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onDrop={handleImageDrop}
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onDragOver={(e) => {
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e.preventDefault();
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setIsDragging(true);
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}}
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onDragLeave={() => setIsDragging(false)}
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onClick={() =>
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document.getElementById("image-upload-input")?.click()
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}
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>
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{uploadedImages.length ? (
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<div className="space-y-4">
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{uploadedImages.map((file, idx) => (
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<div
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key={idx}
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className="flex items-center justify-between space-x-4 border rounded-md p-2 bg-white"
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>
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<div className="flex items-center space-x-3">
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<ImageIcon className="h-6 w-6 text-green-500" />
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<div className="text-left">
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<p className="font-medium text-green-700">
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{file.name}
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</p>
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<p className="text-sm text-gray-500">
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{(file.size / 1024 / 1024).toFixed(2)} MB
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</p>
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</div>
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</div>
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<Button
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variant="ghost"
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size="sm"
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onClick={(e) => {
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e.stopPropagation();
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removeUploadedImage(idx);
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}}
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>
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<X className="h-4 w-4" />
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</Button>
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</div>
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))}
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</div>
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) : (
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<div className="space-y-4">
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<Upload className="h-12 w-12 text-gray-400 mx-auto" />
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<div>
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<p className="text-lg font-medium text-gray-700 mb-2">
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Upload Payment Documents
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</p>
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<p className="text-sm text-gray-500 mb-4">
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Drag and drop up to 10 images or click to browse
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</p>
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<Button variant="outline" type="button">
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Choose Images
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</Button>
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</div>
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<p className="text-xs text-gray-400">
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Supported formats: JPG, PNG, TIFF, BMP • Max size: 10MB each
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</p>
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</div>
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)}
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<input
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id="image-upload-input"
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type="file"
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accept="image/*"
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onChange={handleImageSelect}
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className="hidden"
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multiple
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/>
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</div>
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{/* Extract */}
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<div className="flex justify-end gap-4">
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<Button
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className="w-full h-12 gap-2"
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type="button"
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onClick={handleExtract}
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disabled={!uploadedImages.length || isExtracting}
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>
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{extractPaymentOCR.isPending
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? "Extracting..."
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: "Extract Payment Data"}
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</Button>
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</div>
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{/* Results Table */}
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{error && <p className="mt-4 text-sm text-red-600">{error}</p>}
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{rows.length > 0 && (
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<div className="space-y-4">
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{/* Row/Column control buttons */}
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<div className="flex gap-2 flex-wrap">
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<Button size="sm" onClick={handleAddRow}>
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<Plus className="h-4 w-4 mr-1" /> Add Row
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</Button>
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</div>
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{/* Table */}
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<div className="overflow-x-auto">
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<table className="border-collapse border border-gray-300 w-full table-auto min-w-max">
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<thead>
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{table.getHeaderGroups().map((hg) => (
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<tr key={hg.id} className="bg-gray-100">
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{hg.headers.map((header) => (
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<th
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key={header.id}
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className="border p-2 text-left whitespace-nowrap"
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>
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{flexRender(
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header.column.columnDef.header,
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header.getContext()
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)}
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</th>
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))}
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<th className="border p-2">Actions</th>
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</tr>
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))}
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</thead>
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<tbody>
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{table.getRowModel().rows.map((row, rowIndex) => (
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<tr key={row.id}>
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{row.getVisibleCells().map((cell) => {
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const colId = cell.column.id; // ✅ key for field
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return (
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<td
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key={cell.id}
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className="border p-2 whitespace-nowrap"
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>
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<input
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className="w-full border rounded p-1"
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value={
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(rows[rowIndex]?.[colId] as string) ?? ""
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}
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onChange={(e) => {
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const newData = [...rows];
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newData[rowIndex] = {
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...newData[rowIndex],
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__id: newData[rowIndex]!.__id, // keep id
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[colId]: e.target.value,
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};
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setRows(newData);
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}}
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/>
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</td>
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);
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})}
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<td className="border p-2">
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<Button
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size="sm"
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variant="destructive"
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onClick={() => handleDeleteRow(rowIndex)}
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>
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Delete
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</Button>
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</td>
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</tr>
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))}
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</tbody>
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</table>
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</div>
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<Button
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className="w-full h-12 gap-2"
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type="button"
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variant="warning"
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onClick={handleSave}
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>
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Save Edited Data
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</Button>
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</div>
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)}
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</CardContent>
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</Card>
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</div>
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);
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}
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