driver_tripz/lib/controller/functions/camer_controller.dart

import 'dart:convert';
import 'dart:io';

import 'package:camera/camera.dart';
import 'package:flutter_tesseract_ocr/flutter_tesseract_ocr.dart';
import 'package:get/get.dart';
import 'package:google_mlkit_text_recognition/google_mlkit_text_recognition.dart';
import 'package:ride/constant/box_name.dart';
import 'package:ride/views/widgets/elevated_btn.dart';
import 'package:path_provider/path_provider.dart' as path_provider;
import 'package:path/path.dart' as path;

import '../../main.dart';

class CameraClassController extends GetxController {
  late CameraController cameraController;
  late List<CameraDescription> cameras;
  bool isCameraInitialized = false;
  final TextRecognizer _textRecognizer = TextRecognizer();
  String? scannedText;
  bool isloading = false;

  @override
  void onInit() {
    super.onInit();
    initializeCamera();
  }

  Future<void> initializeCamera() async {
    try {
      cameras = await availableCameras();
      update();
      cameraController = CameraController(
        cameras[0],
        ResolutionPreset.max,
        enableAudio: false,
      );
      await cameraController.initialize();
      isCameraInitialized = true;
      update();
    } catch (e) {
      if (e is CameraException) {
        switch (e.code) {
          case 'CameraAccessDenied':
            Get.defaultDialog(
              title: 'Camera Access Denied.'.tr,
              middleText: '',
              confirm:
                  MyElevatedButton(title: 'Open Settings', onPressed: () {}),
            );
            break;
          default:
            // Handle other errors here.
            break;
        }
      }
    }
  }

  Future<void> takePictureAndMLGoogleScan() async {
    try {
      // Construct the path for the image file
      final directory = await path_provider.getTemporaryDirectory();
      final imagePath =
          path.join(directory.path, '${box.read(BoxName.driverID)}.png');

      // Capture the image and save it to the specified path
      final XFile capturedImage = await cameraController.takePicture();

      // Move the captured image to the desired path
      await capturedImage.saveTo(imagePath);

      // Recognize the text in the image
      final InputImage inputImage =
          InputImage.fromFile(File(capturedImage.path));
      final RecognizedText recognizedText =
          await _textRecognizer.processImage(inputImage);
      scannedText = recognizedText.text;

      // Extract the scanned text line by line
      final List<Map<String, dynamic>> lines = [];
      for (var i = 0; i < recognizedText.blocks.length; i++) {
        lines.add({
          'line_number': i,
          'text': recognizedText.blocks[i].text,
        });
      }

      // Convert the list of lines to a JSON string
      final String jsonOutput = jsonEncode(lines);

      update();

      // Print the JSON output
      print(jsonOutput);

      // Get.back();
    } catch (e) {
      print('Error capturing image: $e');
    }
  }

  String getTextAsJSON(String text) {
    final lines = text.split('\n');
    final jsonList = lines.map((line) {
      return {
        'line_text': line,
        'num_words': line.trim().split(' ').length,
      };
    }).toList();

    final json = {
      'lines': jsonList,
      'num_lines': lines.length,
    };

    return jsonEncode(json);
  }

  List<String> getTextBlocks(String text) {
    return text.split('\n');
  }

  Future<void> takePictureAndTesseractScan() async {
    try {
      // Construct the path for the image file
      final directory = await path_provider.getTemporaryDirectory();
      final imagePath =
          path.join(directory.path, '${box.read(BoxName.driverID)}.png');

      // Capture the image and save it to the specified path
      final XFile capturedImage = await cameraController.takePicture();

      // Move the captured image to the desired path
      await capturedImage.saveTo(imagePath);

      // Recognize the text in the image
      final languages = [
        'eng',
        'ara'
      ]; // Specify the languages you want to use for text extraction

      final text = await FlutterTesseractOcr.extractText(imagePath,
          language: languages.join('+'), // Combine multiple languages with '+'
          args: {
            "psm": "4",
            "preserve_interword_spaces": "1",
            // "rectangle": const Rect.fromLTWH(100, 100, 200, 200),
          } // Additional options if needed
          );
      isloading = false;
      final jsonText = getTextAsJSON(text);
      final textBlocks = getTextBlocks(text);
      update();
      scannedText =
          textBlocks.toString(); // Convert the extracted text to JSON.

// Print the JSON to the console.
      print(jsonText);
      update();
      // print(text);
    } catch (e) {
      print('Error during text extraction: $e');
      scannedText = '';
    }
  }

  @override
  void onClose() {
    cameraController.dispose();
    super.onClose();
  }
}