// src/app/upload-image-modal.component.ts
import { Component, Input, Output, EventEmitter, AfterViewInit, ViewChild, ElementRef, OnDestroy } from '@angular/core';
import { DeckService } from '../deck.service';
import { CommonModule } from '@angular/common';
import { HttpClient } from '@angular/common/http';
import { fabric } from 'fabric';
import { FormsModule } from '@angular/forms';
import { Modal } from 'flowbite';

@Component({
  selector: 'app-upload-image-modal',
  templateUrl: './upload-image-modal.component.html',
  standalone: true,
  imports: [CommonModule, FormsModule]
})
export class UploadImageModalComponent implements AfterViewInit, OnDestroy {
  @Input() deckName: string = '';
  @Output() imageUploaded = new EventEmitter<void>();

  @ViewChild('uploadImageModal') modalElement!: ElementRef;
  @ViewChild('canvas') canvasElement!: ElementRef<HTMLCanvasElement>;

  imageFile: File | null = null;
  imageText: string = '';
  modal!: any; // Typ kann je nach Flowbite-Version angepasst werden
  canvas!: fabric.Canvas;

  // Fabric.js Related Variables
  originalImageSrc: string | ArrayBuffer | undefined | null = null;
  detectedText: string = '';
  processingStatus: string = '';
  loading: boolean = false;

  // Maximal erlaubte Größe
  maxCanvasWidth: number = 0;
  maxCanvasHeight: number = 0;

  boxes: { x1: number; x2: number; y1: number; y2: number }[] = [];

  originalImageWidth: number = 0;
  originalImageHeight: number = 0;

  // Referenz zum Keydown-Eventhandler
  private keyDownHandler!: (e: KeyboardEvent) => void;

  constructor(private deckService: DeckService, private http: HttpClient) { }

  ngAfterViewInit(): void {
    // Initialisiere die Flowbite Modal
    this.modal = new Modal(this.modalElement.nativeElement);

    // Initialisiere Fabric.js Canvas
    this.canvas = new fabric.Canvas(this.canvasElement.nativeElement);

    // Berechne die maximal erlaubten Abmessungen basierend auf dem Viewport
    this.maxCanvasWidth = window.innerWidth * 0.6; // Passe nach Bedarf an
    this.maxCanvasHeight = window.innerHeight * 0.6; // Passe nach Bedarf an

    // Keydown-Eventlistener hinzufügen
    this.keyDownHandler = this.onKeyDown.bind(this);
    document.addEventListener('keydown', this.keyDownHandler);
  }

  ngOnDestroy(): void {
    // Keydown-Eventlistener entfernen
    document.removeEventListener('keydown', this.keyDownHandler);
    // Fabric.js Canvas zerstören
    if (this.canvas) {
      this.canvas.dispose();
    }
  }

  open(): void {
    this.resetState();
    this.modal.show();
  }

  closeModal(): void {
    this.modal.hide();
  }

  resetState(): void {
    this.imageFile = null;
    this.imageText = '';
    this.originalImageSrc = null;
    this.detectedText = '';
    this.processingStatus = '';
    this.loading = false;
    this.boxes = [];
    this.originalImageWidth = 0;
    this.originalImageHeight = 0;
    this.canvas.clear();
  }

  onKeyDown(e: KeyboardEvent): void {
    if (e.key === 'Delete' || e.key === 'Del') {
      const activeObject = this.canvas.getActiveObject();
      if (activeObject) {
        this.canvas.remove(activeObject);
        this.canvas.requestRenderAll();
        this.updateBoxCoordinates();
      }
    }
  }

  async onFileChange(event: any): Promise<void> {
    const file: File = event.target.files[0];
    if (!file) return;

    // Status zurücksetzen
    this.processingStatus = 'Verarbeitung läuft...';
    this.detectedText = '';
    this.loading = true;

    // Bild als Base64 laden
    const reader = new FileReader();
    reader.onload = async (e) => {
      this.originalImageSrc = e.target?.result;

      // Bild als Base64-String ohne Präfix (data:image/...)
      const imageBase64 = (this.originalImageSrc as string).split(',')[1];

      try {
        // Anfrage an den Backend-Service senden
        const response = await this.http.post<any>('/api/ocr', { image: imageBase64 }).toPromise();

        if (!response || !response.results) {
          this.processingStatus = 'Ungültige Antwort vom OCR-Service';
          this.loading = false;
          return;
        }

        // Bildverarbeitung im Frontend durchführen
        await this.processImage(response.results);
      } catch (error) {
        console.error('Fehler beim OCR-Service:', error);
        this.processingStatus = 'Fehler beim OCR-Service';
        this.loading = false;
      }
    };
    reader.readAsDataURL(file);
  }

  private loadFabricImage(url: string): Promise<fabric.Image> {
    return new Promise((resolve, reject) => {
      fabric.Image.fromURL(
        url,
        (img) => {
          resolve(img);
        },
        {
          crossOrigin: 'anonymous',
          originX: 'left',
          originY: 'top',
        }
      );
    });
  }

  async processImage(ocrResults: any[]): Promise<void> {
    // Canvas zurücksetzen
    this.canvas.clear();
    this.boxes = [];

    // Hintergrundbild setzen
    try {
      const backgroundImage = await this.loadFabricImage(this.originalImageSrc as string);

      // Speichere die Originalbildgröße
      this.originalImageWidth = backgroundImage.width!;
      this.originalImageHeight = backgroundImage.height!;

      // Berechne Skalierungsfaktor basierend auf maximal erlaubter Größe
      const scaleX = this.maxCanvasWidth / backgroundImage.width!;
      const scaleY = this.maxCanvasHeight / backgroundImage.height!;
      const scaleFactor = Math.min(scaleX, scaleY, 1); // Vermeide Vergrößerung

      // Neue Größe des Canvas
      const canvasWidth = backgroundImage.width! * scaleFactor;
      const canvasHeight = backgroundImage.height! * scaleFactor;

      // Canvas-Größe anpassen
      this.canvas.setWidth(canvasWidth);
      this.canvas.setHeight(canvasHeight);

      // Hintergrundbild skalieren
      backgroundImage.set({
        scaleX: scaleFactor,
        scaleY: scaleFactor,
      });

      // Hintergrundbild setzen
      this.canvas.setBackgroundImage(backgroundImage, this.canvas.renderAll.bind(this.canvas));

      // Boxen hinzufügen
      ocrResults.forEach(result => {
        const box = result.box;

        // Grenzen berechnen
        const xs = box.map((point: number[]) => point[0]);
        const ys = box.map((point: number[]) => point[1]);
        const xMin = Math.min(...xs);
        const xMax = Math.max(...xs);
        const yMin = Math.min(...ys);
        const yMax = Math.max(...ys);

        // Skalierung anwenden
        const left = xMin * scaleFactor;
        const top = yMin * scaleFactor;
        const width = (xMax - xMin) * scaleFactor;
        const height = (yMax - yMin) * scaleFactor;

        // Rechteck erstellen
        const rect = new fabric.Rect({
          left: left,
          top: top,
          width: width,
          height: height,
          fill: 'rgba(0, 0, 0, 0.5)',
          selectable: true,
          hasControls: true,
          hasBorders: true,
          objectCaching: false,
        });

        // Event-Listener hinzufügen
        rect.on('modified', () => {
          this.updateBoxCoordinates();
        });
        rect.on('moved', () => {
          this.updateBoxCoordinates();
        });
        rect.on('scaled', () => {
          this.updateBoxCoordinates();
        });
        rect.on('rotated', () => {
          this.updateBoxCoordinates();
        });
        rect.on('removed', () => {
          this.updateBoxCoordinates();
        });

        this.canvas.add(rect);
      });

      // Initiale Box-Koordinaten aktualisieren
      this.updateBoxCoordinates();

      // Erkannten Text anzeigen
      this.detectedText = ocrResults.map(result => result.text).join('\n');

      this.processingStatus = 'Verarbeitung abgeschlossen';
      this.loading = false;

      // Eingabefelder und Button ausblenden
      this.hideFormElements();
    } catch (error) {
      console.error('Fehler beim Setzen des Hintergrundbildes:', error);
      this.processingStatus = 'Fehler bei der Bildverarbeitung';
      this.loading = false;
    }
  }

  updateBoxCoordinates(): void {
    // Leere die aktuelle Box-Liste
    this.boxes = [];

    // Skalierungsfaktor ermitteln (sollte der gleiche sein wie zuvor)
    let scaleFactor = 1;
    const bgImage = this.canvas.backgroundImage;
    if (bgImage && bgImage instanceof fabric.Image) {
      scaleFactor = bgImage.get('scaleX') || 1;
    }

    // Alle Rechtecke durchgehen
    this.canvas.getObjects('rect').forEach((rect: fabric.Rect) => {
      // Aktuelle Position und Größe des Rechtecks
      const left = rect.left!;
      const top = rect.top!;
      const width = rect.width! * rect.scaleX!;
      const height = rect.height! * rect.scaleY!;

      // Umrechnung auf Originalbildgröße
      const x1 = left / scaleFactor;
      const y1 = top / scaleFactor;
      const x2 = (left + width) / scaleFactor;
      const y2 = (top + height) / scaleFactor;

      // Werte runden
      this.boxes.push({
        x1: Math.round(x1),
        x2: Math.round(x2),
        y1: Math.round(y1),
        y2: Math.round(y2)
      });
    });

    // Trigger Angular Change Detection
    this.canvas.requestRenderAll();
  }

  hideFormElements(): void {
    // Implementiere die Logik, um die Eingabefelder und den Button auszublenden
    // Dies kann durch eine zusätzliche Variable gesteuert werden
    this.formVisible = false;
    this.canvasVisible = true;
  }

  showFormElements(): void {
    this.formVisible = true;
    this.canvasVisible = false;
  }

  // Neue Variable zur Steuerung der Sichtbarkeit
  formVisible: boolean = true;
  canvasVisible: boolean = true;
}