/// Receipt parsing entry point: spatial OCR pipeline with text fallback.
library;

import 'package:google_mlkit_text_recognition/google_mlkit_text_recognition.dart';

import '../models/line_item.dart';
import '../models/ocr_element.dart';
import 'receipt_ocr.dart';
import 'receipt_parse_config.dart';
export 'receipt_parse_config.dart' show loadReceiptParseConfig;
export 'receipt_text_parser.dart' show ReceiptParseResult;
import 'receipt_spatial_parser.dart';
import 'receipt_text_parser.dart';

class ReceiptParser {
  ReceiptParser._();

  static Future<void> loadConfig() => loadReceiptParseConfig();

  static List<LineItem> parse(String rawText) => parseReceipt(rawText).items;

  /// Fallback when only flattened OCR text is available (tests, re-parse).
  static ReceiptParseResult parseReceipt(String rawText) =>
      ReceiptTextParser.parseReceipt(rawText);

  /// Primary path: positioned ML Kit elements → row clustering → lookahead.
  static ReceiptParseResult parseReceiptFromOcr(OcrDocument document) =>
      ReceiptSpatialParser.parse(document);

  static ReceiptParseResult parseRecognizedText(
    RecognizedText recognized, {
    required double imageWidth,
    required double imageHeight,
  }) {
    final document = ReceiptOcr.fromRecognizedText(
      recognized,
      imageWidth: imageWidth,
      imageHeight: imageHeight,
    );
    return parseReceiptFromOcr(document);
  }
}