import 'dart:io';

import 'package:get/get.dart';
import 'package:google_mlkit_text_recognition/google_mlkit_text_recognition.dart';
import 'package:image_cropper/image_cropper.dart';
import 'package:image_picker/image_picker.dart';
import 'package:SEFER/constant/colors.dart';
import 'package:SEFER/controller/functions/llama_ai.dart';

class CarRegistrationRecognizerController extends GetxController {
  @override
  void onInit() {
    // scanText();
    super.onInit();
  }

  // The ImagePicker instance
  final ImagePicker _imagePicker = ImagePicker();

  // The GoogleMlKit TextRecognizer instance
  final TextRecognizer _textRecognizer = TextRecognizer();

  // The scanned text
  String? scannedText;
  String? jsonOutput;
  final List<Map<String, dynamic>> lines = [];
  Map extracted = {};
  XFile? image;
  CroppedFile? croppedFile;
  // Picks an image from the camera or gallery and extracts the text
  final List<Map<String, dynamic>> extractedTextWithCoordinates = [];

  Future<void> scanText() async {
    // Pick an image from the camera or gallery
    image = await _imagePicker.pickImage(source: ImageSource.gallery);
    update();

    // If no image was picked, return
    if (image == null) {
      return;
    }

    // Crop the image
    croppedFile = await ImageCropper().cropImage(
      sourcePath: image!.path,
      aspectRatioPresets: [
        CropAspectRatioPreset.square,
        CropAspectRatioPreset.ratio3x2,
        CropAspectRatioPreset.original,
        CropAspectRatioPreset.ratio4x3,
        CropAspectRatioPreset.ratio16x9
      ],
      uiSettings: [
        AndroidUiSettings(
            toolbarTitle: 'Cropper'.tr,
            toolbarColor: AppColor.blueColor,
            toolbarWidgetColor: AppColor.yellowColor,
            initAspectRatio: CropAspectRatioPreset.original,
            lockAspectRatio: false),
        IOSUiSettings(
          title: 'Cropper'.tr,
        ),
      ],
    );

    // If no cropped image was obtained, return
    if (croppedFile == null) {
      return;
    }

    // Convert the cropped file to an InputImage object
    final InputImage inputImage = InputImage.fromFile(File(croppedFile!.path));

    // Recognize the text in the image
    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({
        i.toString(): recognizedText.blocks[i].text,
      });
    }

    String result = lines.map((map) => map.values.first.toString()).join(' ');
    // print(result.length);
    if (result.length > 2200) {
      result = result.substring(0, 2200);
    }
    // print('jsonOutput------------------------------');
    // print(result);
    Map result2 = await LlamaAi().getCarRegistrationData(result,
        'vin,make,made,year,expiration_date,color,owner,registration_date'); //

    // Assign the result to the extracted variable
    extracted = result2;

    print('extracted is ' + extracted.toString());
    update();
  }
}