feat(engine): merge cloudflare-migration — paradigm D engine, BYOK proxy, story persistence (#95)

Squash-merge the cloudflare-migration branch (7 commits by Kai ki) into staging with conflict resolution, feature integration, and bug fixes. Engine: - Paradigm D: single-stream Writer replacing dual-phase Plan/Beats - Delete Architect agent; story bible generated via Writer <plan> tag - Modular prompt architecture (segments/registry/builder) - StreamRouter for tagged stream splitting (<plan>/<story>/<choices>) Infrastructure: - Cloudflare Workers deployment (wrangler.jsonc, OpenNext adapter) - D1 database schema + Drizzle ORM (scaffolded, not yet active) - R2 storage helpers (scaffolded, not yet active) - Story persistence API routes + client-side persistence BYOK (Bring Your Own Key): - /api/llm/user-proxy with SSRF-protected LLM proxy (+ requireUser auth) - CORS-aware fetch in ai-client: auto-detect CORS failure, fallback to server proxy transparently via OpenAI SDK custom fetch - BYO config support added to classify-freeform and vision routes - SettingsModal CORS privacy notice (keys never logged/stored) SSE streaming: - engineClient.ts: fetchSSE helper for progressive scene events - startSession/requestScene accept optional emit callback - Fix SSE error event field name (error → message) in scene/start routes i18n integration: - Wire buildLanguageDirective into paradigm D's prompt builder - Update corsNotice i18n keys (zh-CN/en/ja) with CORS proxy privacy text - Preserve Session.language + LanguageSwitcher from i18n commit Co-authored-by: Kai ki <155355644+zbf1009@users.noreply.github.com> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-06-18 18:05:38 +08:00
parent 05bd7e229c
commit 0e4c2ebef4
78 changed files with 7396 additions and 919 deletions
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+/**
+ * Task 19: 收集3组多角色对话场景样本
+ * 用于人工盲测评分（有个性/生活化，1-5分）
+ *
+ * 策略：使用不同世界设定和角色组合，生成多场景（start+2次scene续场），
+ * 确保对话足够长且有分支选择。
+ */
+
+const BASE_URL = "https://infiplot.y-9e6.workers.dev";
+
+const scenarios = [
+  {
+    id: "A",
+    name: "校园日常·三角关系",
+    worldSetting: "现代日本高中校园。樱花季的放学时刻，三个性格迥异的角色在学校天台展开一场关于暗恋对象的对话。故事聚焦于人物间的微妙情感和误解。",
+    styleGuide: "anime illustration, soft pastel colors, warm lighting, gentle character expressions, school rooftop backdrop with cherry blossoms"
+  },
+  {
+    id: "B",
+    name: "悬疑推理·密室对峙",
+    worldSetting: "1930年代上海法租界。一栋老洋房的书房里，三位嫌疑人被侦探召集。一场凶杀案的真相即将揭晓，每个人都有秘密。紧张的心理博弈在昏暗的灯光下展开。",
+    styleGuide: "noir detective style, muted sepia tones, dramatic shadows, 1930s Shanghai architecture, dim lamp lighting"
+  },
+  {
+    id: "C",
+    name: "奇幻冒险·酒馆夜话",
+    worldSetting: "中世纪奇幻世界的冒险者酒馆。三位刚完成一次失败任务的冒险者在角落的桌子旁借酒浇愁。精灵弓手在反思自己的失误，矮人战士在安慰同伴，人类法师则在计划下一步。他们之间有深厚的友情，也有未说出口的分歧。",
+    styleGuide: "fantasy tavern, warm candlelight, medieval wooden interior, mugs of ale, adventuring gear on table"
+  }
+];
+
+async function generateScenario(scenario) {
+  console.log(`\n${"═".repeat(60)}`);
+  console.log(`🎬 场景 ${scenario.id}: ${scenario.name}`);
+  console.log(`${"═".repeat(60)}\n`);
+
+  const allBeats = [];
+
+  // Step 1: Start session
+  console.log("  [1/3] 开始会话...");
+  const startRes = await fetch(`${BASE_URL}/api/start`, {
+    method: "POST",
+    headers: { "Content-Type": "application/json" },
+    body: JSON.stringify({
+      worldSetting: scenario.worldSetting,
+      styleGuide: scenario.styleGuide,
+      orientation: "landscape"
+    })
+  });
+
+  if (!startRes.ok) {
+    const err = await startRes.text().catch(() => "");
+    console.error(`  ❌ Start 失败: ${startRes.status} ${err.slice(0, 200)}`);
+    return null;
+  }
+
+  const startData = await startRes.json();
+  const scene1 = startData.scene;
+  allBeats.push({ sceneNum: 1, scene: scene1 });
+  console.log(`  ✅ 场景1: ${scene1.beats.length} beats`);
+
+  // Build session for next scene
+  let session = {
+    id: startData.sessionId,
+    createdAt: Date.now(),
+    worldSetting: scenario.worldSetting,
+    styleGuide: scenario.styleGuide,
+    orientation: "landscape",
+    storyState: startData.storyState,
+    characters: startData.characters,
+    history: [{
+      scene: scene1,
+      visitedBeatIds: scene1.beats.map(b => b.id),
+      exit: findFirstExit(scene1)
+    }]
+  };
+
+  // Step 2: Generate scene 2
+  console.log("  [2/3] 生成续场景...");
+  await sleep(3000);
+  const scene2Res = await fetch(`${BASE_URL}/api/scene`, {
+    method: "POST",
+    headers: { "Content-Type": "application/json" },
+    body: JSON.stringify({ session })
+  });
+
+  if (scene2Res.ok) {
+    const scene2Data = await scene2Res.json();
+    const scene2 = scene2Data.scene;
+    allBeats.push({ sceneNum: 2, scene: scene2 });
+    console.log(`  ✅ 场景2: ${scene2.beats.length} beats`);
+
+    // Update session
+    session.storyState = scene2Data.storyState;
+    session.characters = scene2Data.characters;
+    session.history.push({
+      scene: scene2,
+      visitedBeatIds: scene2.beats.map(b => b.id),
+      exit: findFirstExit(scene2)
+    });
+
+    // Step 3: Generate scene 3
+    console.log("  [3/3] 生成第三场景...");
+    await sleep(3000);
+    const scene3Res = await fetch(`${BASE_URL}/api/scene`, {
+      method: "POST",
+      headers: { "Content-Type": "application/json" },
+      body: JSON.stringify({ session })
+    });
+
+    if (scene3Res.ok) {
+      const scene3Data = await scene3Res.json();
+      const scene3 = scene3Data.scene;
+      allBeats.push({ sceneNum: 3, scene: scene3 });
+      console.log(`  ✅ 场景3: ${scene3.beats.length} beats`);
+    } else {
+      console.log(`  ⚠️  场景3 失败: ${scene3Res.status}`);
+    }
+  } else {
+    console.log(`  ⚠️  场景2 失败: ${scene2Res.status}`);
+  }
+
+  return { scenario, scenes: allBeats };
+}
+
+function findFirstExit(scene) {
+  for (const beat of scene.beats) {
+    if (beat.next?.type === "choice" && beat.next.choices?.length > 0) {
+      const choice = beat.next.choices[0];
+      if (choice.effect?.kind === "change-scene") {
+        return {
+          kind: "choice",
+          choiceId: choice.id,
+          label: choice.label,
+          nextSceneSeed: choice.effect.nextSceneSeed
+        };
+      }
+    }
+  }
+  return { kind: "choice", choiceId: "fallback", label: "继续", nextSceneSeed: "故事继续" };
+}
+
+function formatSceneForDoc(sceneData, sceneNum) {
+  const { scene } = sceneData;
+  let md = `### 第${sceneNum}幕\n\n`;
+
+  for (const beat of scene.beats) {
+    // Narration
+    if (beat.narration) {
+      md += `*${beat.narration}*\n\n`;
+    }
+    // Dialogue
+    if (beat.speaker && beat.line) {
+      const delivery = beat.lineDelivery ? ` _(${beat.lineDelivery})_` : "";
+      md += `**${beat.speaker}**：「${beat.line}」${delivery}\n\n`;
+    }
+    // Choices
+    if (beat.next?.type === "choice" && beat.next.choices?.length > 0) {
+      md += `---\n📌 **选择分支：**\n`;
+      for (const c of beat.next.choices) {
+        const effect = c.effect?.kind === "change-scene"
+          ? `→ 换场: ${c.effect.nextSceneSeed}`
+          : c.effect?.kind === "advance-beat"
+          ? `→ 跳转: ${c.effect.targetBeatId}`
+          : "";
+        md += `- [ ] ${c.label} ${effect ? `*(${effect})*` : ""}\n`;
+      }
+      md += `\n`;
+    }
+  }
+
+  return md;
+}
+
+function sleep(ms) { return new Promise(r => setTimeout(r, ms)); }
+
+async function main() {
+  console.log("📋 Task 19: 收集对白质量盲测样本");
+  console.log(`📍 目标环境: ${BASE_URL}\n`);
+
+  const results = [];
+
+  for (const scenario of scenarios) {
+    const result = await generateScenario(scenario);
+    if (result) results.push(result);
+    await sleep(2000);
+  }
+
+  // Generate markdown document
+  let doc = `# 对白质量盲测样本\n\n`;
+  doc += `> 生成时间: ${new Date().toISOString()}\n`;
+  doc += `> 环境: ${BASE_URL}\n`;
+  doc += `> 模型: gemini-3.1-flash-lite-preview\n\n`;
+  doc += `## 评分标准\n\n`;
+  doc += `请对每组场景的对白质量进行评分（1-5分）：\n\n`;
+  doc += `| 维度 | 1分 | 3分 | 5分 |\n`;
+  doc += `|------|-----|-----|-----|\n`;
+  doc += `| **有个性** | 所有角色说话一个味 | 能区分但不突出 | 角色鲜明、一看就知道谁说的 |\n`;
+  doc += `| **生活化** | 像机器生成的套话 | 基本通顺但略僵 | 自然流畅、像真人会说的话 |\n\n`;
+  doc += `---\n\n`;
+
+  for (const result of results) {
+    doc += `## 场景 ${result.scenario.id}: ${result.scenario.name}\n\n`;
+    doc += `> 设定: ${result.scenario.worldSetting.slice(0, 80)}...\n\n`;
+
+    for (const sceneData of result.scenes) {
+      doc += formatSceneForDoc(sceneData, sceneData.sceneNum);
+    }
+
+    doc += `### 评分\n\n`;
+    doc += `| 维度 | 评分 (1-5) | 备注 |\n`;
+    doc += `|------|-----------|------|\n`;
+    doc += `| 有个性 | | |\n`;
+    doc += `| 生活化 | | |\n\n`;
+    doc += `---\n\n`;
+  }
+
+  doc += `## 汇总\n\n`;
+  doc += `| 场景 | 有个性 | 生活化 | 平均 |\n`;
+  doc += `|------|--------|--------|------|\n`;
+  doc += `| A |  |  |  |\n`;
+  doc += `| B |  |  |  |\n`;
+  doc += `| C |  |  |  |\n`;
+  doc += `| **总平均** | | | |\n\n`;
+  doc += `> 期望目标: 平均分 ≥ 4/5\n`;
+
+  // Save document
+  const { writeFile } = await import("node:fs/promises");
+  const outPath = "G:\\infiplot\\.spec-workflow\\specs\\prompt-architecture-redesign\\task19-dialogue-samples.md";
+  await writeFile(outPath, doc, "utf-8");
+  console.log(`\n\n✅ 盲测文档已保存: ${outPath}`);
+
+  // Also save raw JSON for reference
+  const jsonPath = "G:\\infiplot\\.spec-workflow\\specs\\prompt-architecture-redesign\\task19-raw-scenes.json";
+  await writeFile(jsonPath, JSON.stringify(results, null, 2), "utf-8");
+  console.log(`📄 原始数据已保存: ${jsonPath}`);
+}
+
+main().catch(console.error);