shenleiandClaude Opus 5
61abc69037
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>
76 lines
2.9 KiB
Dart
76 lines
2.9 KiB
Dart
// ignore_for_file: avoid_print
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import 'dart:io';
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import 'package:flutter_test/flutter_test.dart';
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import 'package:kouyu_english/core/sherpa_stt_service.dart';
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import 'package:sherpa_onnx/sherpa_onnx.dart' as sherpa_onnx;
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void main() {
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TestWidgetsFlutterBinding.ensureInitialized();
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final home = Platform.environment['HOME'] ?? '';
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final pubCache = Platform.environment['PUB_CACHE'] ?? '$home/.pub-cache';
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final candidateDirs = [
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'$pubCache/hosted/pub.dev/sherpa_onnx_macos-1.13.8/macos',
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'$home/.pub-cache/hosted/pub.dev/sherpa_onnx_macos-1.13.8/macos',
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'/Users/shenlei/.pub-cache/hosted/pub.dev/sherpa_onnx_macos-1.13.8/macos',
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];
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final macosDir = candidateDirs.firstWhere(
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(d) => Directory(d).existsSync(),
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orElse: () => candidateDirs.first,
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);
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test('SenseVoice-Small ONNX transcribes WAV audio file accurately', () async {
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// Test direct Sherpa ASR initialization and decoding with SenseVoice
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sherpa_onnx.initBindings(macosDir);
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final modelConfig = sherpa_onnx.OfflineModelConfig(
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senseVoice: const sherpa_onnx.OfflineSenseVoiceModelConfig(
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model: 'assets/models/sense_voice/model.int8.onnx',
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language: 'en',
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useInverseTextNormalization: true,
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),
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tokens: 'assets/models/sense_voice/tokens.txt',
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numThreads: 2,
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debug: false,
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);
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final recognizerConfig = sherpa_onnx.OfflineRecognizerConfig(
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model: modelConfig,
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feat: const sherpa_onnx.FeatureConfig(sampleRate: 16000, featureDim: 80),
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);
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final recognizer = sherpa_onnx.OfflineRecognizer(recognizerConfig);
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const testWave = '/tmp/sherpa_test/sherpa-onnx-zipformer-small-en-2023-06-26/test_wavs/0.wav';
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if (File(testWave).existsSync()) {
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final wave = sherpa_onnx.readWave(testWave);
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expect(wave.samples.isNotEmpty, isTrue);
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final stream = recognizer.createStream();
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stream.acceptWaveform(samples: wave.samples, sampleRate: wave.sampleRate);
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recognizer.decode(stream);
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final result = recognizer.getResult(stream);
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print('SenseVoice transcribed result: ${result.text}');
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expect(result.text.toLowerCase().contains('nightfall'), isTrue);
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stream.free();
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}
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recognizer.free();
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});
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test('SherpaSttService singleton initializes and transcribes cleanly', () async {
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final ready = await SherpaSttService.instance.initialize(nativeLibDir: macosDir);
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expect(ready, isTrue);
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expect(SherpaSttService.instance.isReady, isTrue);
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const testWave = '/tmp/sherpa_test/sherpa-onnx-zipformer-small-en-2023-06-26/test_wavs/0.wav';
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if (File(testWave).existsSync()) {
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final transcribed = await SherpaSttService.instance.transcribeWav(testWave);
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expect(transcribed, isNotNull);
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print('SherpaSttService transcribed: $transcribed');
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expect(transcribed!.toLowerCase().contains('nightfall'), isTrue);
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// SenseVoice tags should be stripped
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expect(transcribed.contains('<|'), isFalse);
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}
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});
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}
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