Perform first OCR extraction
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								moneymgr_mobile/lib/utils/ocr_utils.dart
									
									
									
									
									
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								moneymgr_mobile/lib/utils/ocr_utils.dart
									
									
									
									
									
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import 'dart:math';
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import 'dart:typed_data';
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import 'dart:ui' as ui;
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import 'package:flutter/material.dart';
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import 'package:google_mlkit_text_recognition/google_mlkit_text_recognition.dart';
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import 'package:logging/logging.dart';
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/// Attempt to extract total amount from invoice image
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Future<double?> extractTotalFromBill(Uint8List imgBuff) async {
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  final decodedImage = await decodeImageFromList(imgBuff);
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  final byteData = await decodedImage.toByteData(
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    format: ui.ImageByteFormat.rawRgba,
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  );
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  final image = InputImage.fromBitmap(
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    bitmap: byteData!.buffer.asUint8List(),
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    width: decodedImage.width,
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    height: decodedImage.height,
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  );
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  final textRecognizer = TextRecognizer(script: TextRecognitionScript.latin);
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  final extractionResult = await textRecognizer.processImage(image);
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  Logger.root.fine("Expense text: ${extractionResult.text}");
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  // Check for highest amount on invoice
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  final regexp = RegExp(
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    r'([0-9]+([ ]*(\\.|,)[ ]*[0-9]{1,2}){0,1})[ \\t\\n]*(EUR|eur|€)',
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    multiLine: true,
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    caseSensitive: false,
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  );
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  var highest = 0.0;
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  for (final match in regexp.allMatches(extractionResult.text)) {
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    if (match.groupCount == 0) continue;
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    // Process only numeric value
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    final value = (match.group(1) ?? "").replaceAll(",", ".");
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    highest = max(highest, double.tryParse(value) ?? 0.0);
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  }
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  return highest == 0.0 ? null : highest;
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}
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