feat: استيراد كود سيرو إلى تريبز (سيرو @ecfe7568) — بلا تعديل
قرار المالك 2026-07-27: باك إند سيرو PHP هو المعتمد، وتطبيقاته المجرّبة ميدانياً تحل محل إعادة البناء المؤرشفة. سيرو نفسه لم يُمسّ. الخريطة: backend · payment_server · loction_server · ride_server · passenger_server · docker · dashboard · stress_test → الجذر siro_rider → apps/rider siro_driver → apps/driver siro_admin → dashboards/admin siro_service → dashboards/service android_bot → apps/android_bot socialBot → apps/socialBot نُسخ المتعقَّب في git سيرو فقط عبر `git archive` (3,198 ملفاً / ~169 م.ب) لا `cp -r` — فاستُثنيت مخلفات البناء تلقائياً. بلا أي تعديل محتوى عمداً: كل ما يلي يصير فرقاً مقروءاً مقابل المصدر. لم يُستورد وسببه: siromove.com (الموقع التسويقي يبقى marketing/ في تريبز، سيرو فيه 8 ملفات) · docs و planning (تريبز له docs/ الخاص) · deploy.sh (ليس نشراً على سيرفر بل `git add . && git push origin --all` — فخّ في مستودع آخر) · transit_dashboard (بانتظار قرار مصير backend-transit و dashboards/transit-web). ⚠️ لا يبني بعد — ثلاثة نواقص متوقعة ومقصودة: 1. `.env` و `lib/env/env.g.dart` غير متعقَّبين في سيرو (أسرار لكل مستأجر): كل تطبيق فلاتر يحتاج .env خاصاً ثم توليد env.g.dart بـ build_runner. 2. إعدادات Firebase (9 ملفات google-services.json و GoogleService-Info.plist) يستبعدها .gitignore تريبز — ولكل مستأجر مشروع Firebase خاص أصلاً. 3. apps/driver في سيرو يشير إلى `../../Intaleq/packages/get` خارج المستودع → يجب ضمّ الحزم داخله أسوة بـ apps/rider. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
This commit is contained in:
Hamza-Ayed
co-authored by
Claude Opus 5
Claude Opus 5
parent
9909d9b4c1
commit
4d8414c96b
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/*
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import 'dart:convert';
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import 'dart:io';
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import 'package:camera/camera.dart';
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import 'package:get/get.dart';
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// import 'package:google_mlkit_text_recognition/google_mlkit_text_recognition.dart';
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import 'package:siro_driver/constant/box_name.dart';
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import 'package:siro_driver/constant/links.dart';
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import 'package:siro_driver/views/widgets/elevated_btn.dart';
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import 'package:path_provider/path_provider.dart' as path_provider;
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import 'package:path/path.dart' as path;
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import 'package:http/http.dart' as http;
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import '../../main.dart';
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class CameraClassController extends GetxController {
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late CameraController cameraController;
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late List<CameraDescription> cameras;
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bool isCameraInitialized = false;
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// final TextRecognizer _textRecognizer = TextRecognizer();
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String? scannedText;
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bool isloading = false;
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@override
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void onInit() {
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super.onInit();
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initializeCamera();
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}
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Future<void> initializeCamera() async {
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try {
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cameras = await availableCameras();
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//update();
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cameraController = CameraController(
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cameras[0],
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ResolutionPreset.medium,
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enableAudio: false,
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);
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await cameraController.initialize();
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isCameraInitialized = true;
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update();
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} catch (e) {
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if (e is CameraException) {
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switch (e.code) {
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case 'CameraAccessDenied':
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Get.defaultDialog(
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title: 'Camera Access Denied.'.tr,
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middleText: '',
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confirm:
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MyElevatedButton(title: 'Open Settings'.tr, onPressed: () {}),
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);
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break;
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default:
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// Handle other errors here.
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break;
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}
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}
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}
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}
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var imgUrl = '';
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Future extractCardId() async {
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// Construct the path for the image file
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final directory = await path_provider.getTemporaryDirectory();
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final imagePath =
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path.join(directory.path, '${box.read(BoxName.driverID)}.png');
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// Capture the image and save it to the specified path
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final XFile capturedImage = await cameraController.takePicture();
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// Move the captured image to the desired path
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await capturedImage.saveTo(imagePath);
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await uploadImage(File(capturedImage.path));
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extractByAPI('${AppLink.server}/card_image/' + box.read(BoxName.driverID));
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}
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Future extractByAPI(String imgUrl) async {
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var headers = {'apikey': 'K89368168788957'};
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var request = http.MultipartRequest(
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'POST', Uri.parse('https://api.ocr.space/parse/image'));
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request.fields.addAll({
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'language': 'ara',
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'isOverlayRequired': 'false',
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'url': imgUrl,
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'iscreatesearchablepdf': 'false',
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'issearchablepdfhidetextlayer': 'false'
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});
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request.headers.addAll(headers);
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http.StreamedResponse response = await request.send();
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if (response.statusCode == 200) {
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} else {}
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}
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Future<String> uploadImage(File imageFile) async {
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String? basicAuthCredentials =
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await storage.read(key: BoxName.basicAuthCredentials);
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var request = http.MultipartRequest(
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'POST',
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Uri.parse(AppLink.uploadImage),
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);
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// Attach the image file to the request
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request.files.add(
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await http.MultipartFile.fromPath('image', imageFile.path),
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); // Add the headers to the request
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request.headers.addAll({
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"Content-Type": "application/x-www-form-urlencoded",
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'Authorization':
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'Basic ${base64Encode(utf8.encode(basicAuthCredentials.toString()))}',
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});
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// Add the driverID to the request
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request.fields['driverID'] = box.read(BoxName.driverID);
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// Send the request
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var response = await request.send();
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// Read the response
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var responseData = await response.stream.toBytes();
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var responseString = String.fromCharCodes(responseData);
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scannedText = responseString;
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update();
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// Return the link received from the server
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return responseString;
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}
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// Future<void> takePictureAndMLGoogleScan() async {
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// try {
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// // Construct the path for the image file
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// final directory = await path_provider.getTemporaryDirectory();
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// final imagePath =
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// path.join(directory.path, '${box.read(BoxName.driverID)}.png');
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// // Capture the image and save it to the specified path
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// final XFile capturedImage = await cameraController.takePicture();
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// // Move the captured image to the desired path
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// await capturedImage.saveTo(imagePath);
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// // Recognize the text in the image
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// final InputImage inputImage =
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// InputImage.fromFile(File(capturedImage.path));
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// final RecognizedText recognizedText =
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// await _textRecognizer.processImage(inputImage);
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// scannedText = recognizedText.text;
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// // Extract the scanned text line by line
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// final List<Map<String, dynamic>> lines = [];
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// for (var i = 0; i < recognizedText.blocks.length; i++) {
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// lines.add({
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// 'line_number': i,
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// 'text': recognizedText.blocks[i].text,
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// });
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// }
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// // Convert the list of lines to a JSON string
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// final String jsonOutput = jsonEncode(lines);
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// update();
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// // Print the JSON output
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// // Get.back();
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// } catch (e) {}
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// }
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String getTextAsJSON(String text) {
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final lines = text.split('\n');
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final jsonList = lines.map((line) {
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return {
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'line_text': line,
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'num_words': line.trim().split(' ').length,
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};
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}).toList();
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final json = {
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'lines': jsonList,
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'num_lines': lines.length,
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};
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return jsonEncode(json);
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}
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List<String> getTextBlocks(String text) {
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return text.split('\n');
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}
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// Future<void> takePictureAndTesseractScan() async {
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// try {
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// // Construct the path for the image file
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// final directory = await path_provider.getTemporaryDirectory();
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// final imagePath =
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// path.join(directory.path, '${box.read(BoxName.driverID)}.png');
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// // Capture the image and save it to the specified path
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// final XFile capturedImage = await cameraController.takePicture();
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// // Move the captured image to the desired path
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// await capturedImage.saveTo(imagePath);
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// // Recognize the text in the image
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// final languages = [
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// 'eng',
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// 'ara'
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// ]; // Specify the languages you want to use for text extraction
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// final text = await FlutterTesseractOcr.extractText(imagePath,
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// language: languages.join('+'), // Combine multiple languages with '+'
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// args: {
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// "psm": "4",
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// "preserve_interword_spaces": "1",
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// // "rectangle": const Rect.fromLTWH(100, 100, 200, 200),
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// } // Additional options if needed
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// );
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// isloading = false;
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// final jsonText = getTextAsJSON(text);
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// final textBlocks = getTextBlocks(text);
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// update();
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// scannedText =
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// textBlocks.toString(); // Convert the extracted text to JSON.
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// // Print the JSON to the console.
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// update();
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// } catch (e) {
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// scannedText = '';
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// }
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// }
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@override
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void onClose() {
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cameraController.dispose();
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super.onClose();
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}
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}
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*/
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