import 'dart:io';
import 'dart:typed_data';
import 'package:flutter_test/flutter_test.dart';
import 'package:kouyu_english/core/sherpa_stt_service.dart';
import 'package:sherpa_onnx/sherpa_onnx.dart' as sherpa_onnx;

void main() {
  TestWidgetsFlutterBinding.ensureInitialized();

  test('SherpaSttService transcribes WAV audio file accurately', () async {
    const macosDir = '/Users/shen/.pub-cache/hosted/pub.dev/sherpa_onnx_macos-1.13.8/macos';
    
    // Test direct Sherpa ASR initialization and decoding with bundled test audio
    sherpa_onnx.initBindings(macosDir);

    final modelConfig = sherpa_onnx.OfflineModelConfig(
      transducer: const sherpa_onnx.OfflineTransducerModelConfig(
        encoder: 'assets/models/sherpa/encoder-epoch-99-avg-1.int8.onnx',
        decoder: 'assets/models/sherpa/decoder-epoch-99-avg-1.int8.onnx',
        joiner: 'assets/models/sherpa/joiner-epoch-99-avg-1.int8.onnx',
      ),
      tokens: 'assets/models/sherpa/tokens.txt',
      numThreads: 2,
      debug: false,
    );

    final recognizerConfig = sherpa_onnx.OfflineRecognizerConfig(
      model: modelConfig,
      feat: const sherpa_onnx.FeatureConfig(sampleRate: 16000, featureDim: 80),
    );

    final recognizer = sherpa_onnx.OfflineRecognizer(recognizerConfig);

    const testWave = '/tmp/sherpa_test/sherpa-onnx-zipformer-small-en-2023-06-26/test_wavs/0.wav';
    if (File(testWave).existsSync()) {
      final wave = sherpa_onnx.readWave(testWave);
      expect(wave.samples.isNotEmpty, isTrue);

      final stream = recognizer.createStream();
      stream.acceptWaveform(samples: wave.samples, sampleRate: wave.sampleRate);
      recognizer.decode(stream);
      final result = recognizer.getResult(stream);
      print("Transcribed result: ${result.text}");
      expect(result.text.contains("NIGHTFALL"), isTrue);
      stream.free();
    }
    recognizer.free();
  });
}