104 lines
4.3 KiB
TypeScript
104 lines
4.3 KiB
TypeScript
/**
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* 真 key 冒烟（pnpm verify:live）：直连 https://api.typesafe.ai/v1/systemone。
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* 手动解析根目录 .env（不引 dotenv），任何输出都不打印 key 本身。
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* 只跑三次调用控制 token 消耗：
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* 1. C1-01 身份抽取问题组（gender/age/occupation/education/city）
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* 2. C1-02 情绪签名 → 场景变体选择（choice）
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* 3. 画像报告 7 维 score
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*/
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import { readFileSync } from 'node:fs';
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import { StoryEngine } from '../src/engine/engine';
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import type { EventStore, StoryEvent } from '../src/engine/eventStore';
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import type { Chapter } from '../src/engine/types';
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import { HttpJevClient, type JevQuestion } from '../src/services/jev';
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function loadApiKey(): string | null {
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let raw: string;
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try {
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raw = readFileSync(new URL('../.env', import.meta.url), 'utf8');
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} catch {
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return null;
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}
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for (const line of raw.split('\n')) {
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const m = line.match(/^\s*VITE_TYPESAFE_API_KEY\s*=\s*(.+?)\s*$/);
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if (m && m[1] && !m[1].startsWith('#')) return m[1];
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}
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return null;
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}
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class MemoryStore implements EventStore {
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events: StoryEvent[] = [];
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async append(e: StoryEvent) {
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this.events.push(e);
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}
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async list(sessionId?: string) {
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return sessionId ? this.events.filter((e) => e.sessionId === sessionId) : [...this.events];
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}
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}
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const key = loadApiKey();
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if (!key) {
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console.error('未在 .env 中找到 VITE_TYPESAFE_API_KEY，跳过真 key 冒烟');
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process.exit(1);
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}
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console.log('已加载 API key（长度 ' + key.length + '，不打印内容）');
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const jev = new HttpJevClient(key);
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const chapters = [1, 2, 3].map(
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(i) => JSON.parse(readFileSync(new URL(`../content/chapters/chapter${i}.json`, import.meta.url), 'utf8')) as Chapter,
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);
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// --- 1. C1-01 身份抽取（走引擎真实代码路径） ---
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const store = new MemoryStore();
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const engine = new StoryEngine(chapters, store, jev);
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while (engine.currentNode().type !== 'identity') engine.advance();
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const intro = '我叫林晚，今年29岁，在杭州一家互联网公司做产品经理，硕士毕业五年了。';
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const profile = await engine.extractIdentity(intro);
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console.log('\n[1] C1-01 身份抽取');
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console.log(' 输入:', intro);
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console.log(' 抽取:', JSON.stringify(profile));
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// --- 2. C1-02 情绪签名 → 场景变体（choice 格式实测） ---
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await engine.confirmIdentity(profile);
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while (engine.currentNode().type !== 'narration') engine.advance();
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const farewell = '外婆走的那天我在外地考试，没赶上最后一面。后来我每年清明都回去，院子里的桂花树还在。';
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const result = await engine.submitNarration(farewell);
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console.log('\n[2] C1-02 情绪签名 → 场景变体');
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console.log(' 输入:', farewell);
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console.log(` 签名: ${result.variant.signature} → 变体: ${result.variant.variantId}（${result.variant.label}）`);
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// --- 3. 画像报告 7 维 score ---
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const dims: [string, string][] = [
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['attachment', '依恋类型'],
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['conflict_style', '冲突处理风格'],
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['values', '价值观与人生优先级'],
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['emotional_stability', '情绪稳定性'],
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['risk', '风险偏好'],
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['culture', '文化底蕴'],
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['mate_preference', '择偶偏好'],
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];
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const criteria = Array.from({ length: 10 }, (_, i) => `${i + 1} 级`);
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const state = `用户在互动剧情中的行为轨迹：
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[C1-01] 身份登记：${JSON.stringify(profile)}
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[C1-02] 离别之门讲述：${farewell}（情绪签名: ${result.variant.signature}）
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[C1-04] 老鬼提议带纪念品，选择「我们是去记录的，不是去拿的」当场回绝
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[C1-06] 穿越落点选择「精确落点：直接进城，赌一把」`;
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const questions: Record<string, JevQuestion> = Object.fromEntries(
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dims.map(([id, label]) => [
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id,
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{ type: 'score' as const, instructions: `根据用户行为轨迹评估其「${label}」维度水平`, criteria },
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]),
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);
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const answers = await jev.ask(state, questions);
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console.log('\n[3] 画像报告 7 维 score（1-10 级，浮点为概率加权）');
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for (const [id, label] of dims) {
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const a = answers[id];
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if (a?.type === 'score') {
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console.log(` ${label}: ${(a.score + 1).toFixed(1)}/10 置信度 ${(a.confidence * 100).toFixed(0)}%`);
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} else {
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console.log(` ${label}: 未返回 score 答案`, JSON.stringify(a));
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}
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}
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console.log('\n真 key 冒烟完成');
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