## 独立词库 理解词原先只能跟着课程单元走,学完 A0 十课词汇量只增加约 22 个实词, 不足以解决"记不住单词"。新增一份独立词库 assets/words/wordbank.json (2748 词,A1–B1),挂进 receptiveWordRegistry 的合成单元 bank-A1/A2/B1, 完全复用理解词已有的状态机,不依赖课程进度,第一天就能用。 数据来源、许可与合成规则记在 tool/words/DATA-NOTE.md:CEFR-J 定等级、 公开词书提供音标、AI 重写全部释义并生成例句、OpenSubtitles 提供口语词频。 词书部分为 CC BY-NC-SA 4.0 且上游权利不明,仅供个人非商用; 若要分发或上架,须替换音标那一列。 ## 背单词机制 - 间隔阶梯 1/3/7/15/30/60/120 天,连续答对上一级,答错回第一级。 原先首次答对后要等 7 天才复习,正是"第二天就忘"的成因。 - 每日新词上限(10 分钟 8 个 / 20 分钟 15 个 / 30 分钟 20 个)。 阶梯第一级是次日,今天引入的新词就是明天的工作量。 - 新词按口语频率发放,不再按字母序 —— A1 从 a.m./ability 变成 no/not/know/just。 - 三个方向按层级轮转:看词(英→中)→ 听词(音→中)→ 想词(中→英)。 想词题仍是选择题,不要求产出,理解词定位不变,不进升级分母。 - 单词页独立成 tab,首页今日任务卡下方给一张认词入口卡。 ## 用法对照 课程 JSON 增加 usage 字段(when/reply/swap/confuse):一个句型用在什么场合、 对方通常怎么答、还能怎么说、跟哪个学过的句型容易混。 知道 How are you? 的意思,不等于知道它不是用来问名字的。 ## 复习流 - 当日快闪(recap)独立成队列,不占复习预算,也不计入积压。 - 只发放当日预算内的量,其余保持到期状态等下次,不悄悄丢弃或改期。 - 答错的项隔几题后回来,而不是立刻重问。 测试 296 通过,flutter analyze 干净。 Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
174 lines
5.4 KiB
Dart
174 lines
5.4 KiB
Dart
import 'dart:convert';
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import 'package:flutter_test/flutter_test.dart';
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import 'package:http/http.dart' as http;
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import 'package:http/testing.dart';
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import 'package:flutter/material.dart';
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import 'package:kouyu_english/core/app_state.dart';
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import 'package:kouyu_english/features/review/review_page.dart';
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import 'package:kouyu_english/core/ai_service.dart';
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import 'package:kouyu_english/core/models.dart';
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void main() {
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Future<(WritingAiFeedback?, String)> check(Map<String, dynamic> reply) async {
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AiService.instance.setFallbackApiKey('test-key');
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var prompt = '';
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final content = jsonEncode(reply);
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final result = await http.runWithClient(
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() => AiService.instance.answerFeedback(
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provider: AiProviderType.compatible,
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endpoint: 'https://api.deepseek.com',
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model: 'deepseek-flash',
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answerId: 'A0-P12',
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target: "I'm from …",
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taskPrompt: '告诉对方你来自哪里。',
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answer: 'I am from Chna',
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),
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() => MockClient((request) async {
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final body = jsonDecode(request.body) as Map<String, dynamic>;
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prompt = jsonEncode(body);
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return http.Response(
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jsonEncode({
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'choices': [
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{
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'message': {'content': content},
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},
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],
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}),
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200,
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headers: {'content-type': 'application/json; charset=utf-8'},
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);
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}),
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);
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return (result, prompt);
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}
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test('review AI check returns spelling corrections for the item', () async {
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final (feedback, prompt) = await check({
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'schemaVersion': 'writing-feedback-1',
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'verdict': 'rewrite',
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'feedback': '句型正确,有一个拼写错误。',
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'suggestion': 'I am from China.',
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'missing': ['Chna 拼写应为 China'],
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'lessonId': 'A0-P12',
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});
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expect(prompt, contains('spelling'));
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expect(prompt, contains('I am from Chna'));
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expect(feedback, isNotNull);
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expect(feedback!.verdict, 'rewrite');
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expect(feedback.suggestion, 'I am from China.');
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expect(feedback.missing, ['Chna 拼写应为 China']);
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});
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test('review AI check rejects feedback for a different item', () async {
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final (feedback, _) = await check({
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'schemaVersion': 'writing-feedback-1',
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'verdict': 'accepted',
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'feedback': '很好。',
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'suggestion': null,
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'missing': <String>[],
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'lessonId': 'A0-P01',
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});
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expect(feedback, isNull);
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});
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test('review AI check is skipped without a configured provider', () async {
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final feedback = await AiService.instance.answerFeedback(
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provider: AiProviderType.mock,
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endpoint: '',
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model: '',
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answerId: 'A0-P12',
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target: "I'm from …",
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taskPrompt: '告诉对方你来自哪里。',
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answer: 'I am from China',
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);
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expect(feedback, isNull);
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});
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testWidgets('finishing after an AI correction counts as assisted', (
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tester,
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) async {
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AiService.instance.setFallbackApiKey('test-key');
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final state = AppState()
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..aiProvider = AiProviderType.compatible
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..aiEndpoint = 'https://api.deepseek.com'
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..aiModel = 'deepseek-flash';
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state.reviewQueue.add(
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ReviewItem(
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id: 'A0-P12',
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target: "I'm from …",
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prompt: '告诉对方你来自哪里。',
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hint: "I'm from China.",
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dueAt: DateTime.now().subtract(const Duration(hours: 1)),
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skill: '回忆表达',
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),
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);
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state.mastery['A0-P12'] = const MasteryItem(
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id: 'A0-P12',
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label: "I'm from …",
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status: MasteryStatus.recall,
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evidence: [],
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checkpoint: 1,
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);
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final content = jsonEncode({
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'schemaVersion': 'writing-feedback-1',
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'verdict': 'rewrite',
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'feedback': '句型正确,有一个拼写错误。',
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'suggestion': 'I am from China.',
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'missing': ['Chna 拼写应为 China'],
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'lessonId': 'A0-P12',
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});
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await http.runWithClient(
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() async {
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await tester.pumpWidget(
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MaterialApp(
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home: Scaffold(
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body: ReviewPage(
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state: state,
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onFinished: () {},
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onOpenAdaptiveLesson: () {},
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),
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),
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),
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);
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await tester.enterText(find.byType(TextField), 'I am from Chna');
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await tester.pump();
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final aiButton = find.text('AI 检查语法和拼写(可选)');
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await tester.ensureVisible(aiButton);
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await tester.tap(aiButton);
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await tester.runAsync(
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() => Future<void>.delayed(const Duration(milliseconds: 50)),
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);
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await tester.pump();
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},
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() => MockClient(
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(request) async => http.Response(
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jsonEncode({
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'choices': [
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{
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'message': {'content': content},
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},
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],
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}),
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200,
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headers: {'content-type': 'application/json; charset=utf-8'},
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),
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),
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);
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expect(find.text('· Chna 拼写应为 China'), findsOneWidget);
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expect(find.text('参考改正:I am from China.'), findsOneWidget);
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final submit = find.text('带提示完成');
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expect(submit, findsOneWidget);
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await tester.ensureVisible(submit);
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await tester.tap(submit);
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await tester.pump();
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expect(state.attemptEvidence.single.outcome, EvidenceKind.assisted);
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expect(state.attemptEvidence.single.assisted, isTrue);
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});
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}
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