import { type Frame, VisionCameraProxy } from 'react-native-vision-camera';

/**
 * Initialize the OCR frame processor plugin
 * @param options - Configuration options for the OCR plugin
 * @param options.model - Model type for text recognition (currently supports 'fast', but implementation is pending)
 */
const plugin = VisionCameraProxy.initFrameProcessorPlugin('detectText', {
  model: 'fast', // ⚠️ Note: Model option is currently logged but not fully implemented
});

/**
 * Performs OCR (Optical Character Recognition) on camera frames.
 * Detects and extracts text from images in real-time.
 *
 * @param frame - The camera frame to process
 * @returns Object containing recognized text or null if no text found
 */
export type OcrOptions = {
  includeBoxes?: boolean;
  includeConfidence?: boolean;
  // iOS only options (ignored on Android)
  recognitionLevel?: 'fast' | 'accurate';
  recognitionLanguages?: string[];
  usesLanguageCorrection?: boolean;
};

export type OcrBox = {
  x: number;
  y: number;
  width: number;
  height: number;
};

export type OcrWord = {
  text: string;
  box?: OcrBox;
  confidence?: number;
};

export type OcrLine = {
  text: string;
  box?: OcrBox;
  words?: OcrWord[];
  confidence?: number;
};

export type OcrBlock = {
  text: string;
  box?: OcrBox;
  lines?: OcrLine[];
};

export type OcrResult = {
  text: string;
  blocks?: OcrBlock[];
};

export function performOcr(
  frame: Frame,
  options?: OcrOptions
): OcrResult | null {
  'worklet';
  if (plugin == null)
    throw new Error('Failed to load Frame Processor Plugin "detectText"!');
  return plugin.call(frame, options ?? {}) as unknown as OcrResult | null;
}