Files
English/kouyu_english/test/sherpa_stt_test.dart
T
shenleiandClaude Opus 5 7e29c5449f feat: 重做阅读找答案题与 AI 情境对话,并归拢本地识别、查词等既有改动
阅读"在对话里找到答案":
- 16 道题全部重写,干扰项真实出现在对话里,靠说话人归属或否定句才能作答
- 选项按题目内容确定性打乱,答案不再固定排第一;听力环节同样处理
- 去掉超纲干扰项、重复题干,收紧自由作答匹配(过去单个字母也能判对)

AI 情境对话:
- 提示词区分"AI 这一句要做什么"与"学习者随后要完成什么",并下发已教词句清单
- JSON 只强制 reply,translation/feedback 可选;不再索要用不上的 slots/evidence
- AI 不可用时页面明确提示当前回复来自内置示范脚本
- 删掉按 stage 下标猜中文翻译的兜底,避免译文与英文对不上
- 整课对话改用逐轮必需表达校验,替换"关键词沾边就算过";修正自由场景正则误伤
- 总结的"完成任务"按实际通过的轮次生成;模型点评只在结束页呈现一次
- 自由场景支持草稿续练(独立存储槽);修正回答轮数文案与永不解锁的场景标注

同时提交此前工作区中累积的改动:SenseVoice 本地识别、查词/句型解析卡、
复习与测评页调整等,并补充对话校验、选项分布和句子解析的测试。

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-09-16 16:38:23 +09:00

76 lines
2.9 KiB
Dart

// ignore_for_file: avoid_print
import 'dart:io';
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();
final home = Platform.environment['HOME'] ?? '';
final pubCache = Platform.environment['PUB_CACHE'] ?? '$home/.pub-cache';
final candidateDirs = [
'$pubCache/hosted/pub.dev/sherpa_onnx_macos-1.13.8/macos',
'$home/.pub-cache/hosted/pub.dev/sherpa_onnx_macos-1.13.8/macos',
'/Users/shenlei/.pub-cache/hosted/pub.dev/sherpa_onnx_macos-1.13.8/macos',
];
final macosDir = candidateDirs.firstWhere(
(d) => Directory(d).existsSync(),
orElse: () => candidateDirs.first,
);
test('SenseVoice-Small ONNX transcribes WAV audio file accurately', () async {
// Test direct Sherpa ASR initialization and decoding with SenseVoice
sherpa_onnx.initBindings(macosDir);
final modelConfig = sherpa_onnx.OfflineModelConfig(
senseVoice: const sherpa_onnx.OfflineSenseVoiceModelConfig(
model: 'assets/models/sense_voice/model.int8.onnx',
language: 'en',
useInverseTextNormalization: true,
),
tokens: 'assets/models/sense_voice/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('SenseVoice transcribed result: ${result.text}');
expect(result.text.toLowerCase().contains('nightfall'), isTrue);
stream.free();
}
recognizer.free();
});
test('SherpaSttService singleton initializes and transcribes cleanly', () async {
final ready = await SherpaSttService.instance.initialize(nativeLibDir: macosDir);
expect(ready, isTrue);
expect(SherpaSttService.instance.isReady, isTrue);
const testWave = '/tmp/sherpa_test/sherpa-onnx-zipformer-small-en-2023-06-26/test_wavs/0.wav';
if (File(testWave).existsSync()) {
final transcribed = await SherpaSttService.instance.transcribeWav(testWave);
expect(transcribed, isNotNull);
print('SherpaSttService transcribed: $transcribed');
expect(transcribed!.toLowerCase().contains('nightfall'), isTrue);
// SenseVoice tags should be stripped
expect(transcribed.contains('<|'), isFalse);
}
});
}