import '../../../core/constant/glcm_type.dart';
import '../../../core/data/response/classification_response.dart';
import '../../../core/repository/classification_repository.dart';
import 'classification_event.dart';
import 'classification_state.dart';
import 'package:flutter_bloc/flutter_bloc.dart';

class ClassificationBloc
    extends Bloc<ClassificationEvent, ClassificationState> {
  late ClassificationRepository _repository;

  ClassificationBloc() : super(InitClassificationState()) {
    _repository = ClassificationRepository.instance;

    on<UploadClassification>((event, emit) async {
      emit(ShowLoading());
      var data = await _repository.uploadClassification(
          event.file, event.classificationType, event.cancerType);
      // var data = ClassificationResponse(data: 'wqeqweqew', assumption: '');
      if (data.data.isNotEmpty) {
        String glcmType = all;
        if (event.classificationType == 'GLCM All + LVQ') {
          glcmType = all;
        } else if (event.classificationType == 'GLCM PCA + LVQ') {
          if (event.cancerType == 'Breast') {
            glcmType = pcaBreast;
          } else if (event.cancerType == 'Cervix') {
            glcmType = pcaCervix;
          }
        } else if (event.classificationType == 'GLCM regresi + LVQ') {
          if (event.cancerType == 'Breast') {
            glcmType = regressionBreast;
          } else if (event.cancerType == 'Cervix') {
            glcmType = regressionCervix;
          }
        } else if (event.classificationType == 'CNN') {
          if (event.cancerType == 'Breast') {
            glcmType = cnnBreast;
          } else if (event.cancerType == 'Cervix') {
            glcmType = cnnCervix;
          }
        }

        emit(ShowSuccessClassification(
            data: data.data,
            glcmType: glcmType,
            assumption: data.assumption,
            pattern: data.pattern,
            feature: data.feature,
            time: data.time,
            akurasi: data.akurasi,
            image: event.file,
            classificationType: event.classificationType,
            cancerType: event.cancerType
        ));
      } else {
        emit(ShowFailedClassification());
      }
    });

    on<ResetClassification>((event, emit) async {
      emit(ShowIdle());
    });
  }
}