feat(lesson-preparation): add AI evaluation, analytics, attachments, calendar, comments, review, substitutes, formative, and version diff

- Add actions-ai-evaluation, actions-analytics, actions-attachments, actions-calendar, actions-comments, actions-formative, actions-questions, actions-review, actions-substitutes

- Add corresponding data-access layers for each new action module

- Add calendar-view, curriculum-map-view, version-diff-viewer components

- Add editor-slice, selection-slice, version-slice hooks for state management

- Add document-diff and scope-check lib utilities

- Add default-question-service and external-questions-bridge services

src/modules/lesson-preparation/ai-suggest.ts

@@ -1,8 +1,8 @@
 import "server-only";
-
 import { z } from "zod";
 import { env } from "@/env.mjs";
 import { createAiChatCompletion } from "@/shared/lib/ai";
+import { isRecord } from "@/shared/lib/type-guards";
 import {
   getKnowledgePointsByTextbookId,
   getKnowledgePointsByChapterId,
@@ -18,18 +18,23 @@ const SuggestedKpListSchema = z.array(SuggestedKpSchema);
 
 /** 从 unknown 节点安全提取文本（类型守卫从 unknown 收窄） */
 const extractNodeText = (node: unknown): string => {
-  if (!node || typeof node !== "object") return ""
-  // 从 unknown 收窄为 Record<string, unknown> 以进行字段检查
-  const record = node as Record<string, unknown>
-  const data = record.data
-  if (!data || typeof data !== "object") return ""
-  // 从 unknown 收窄为 Record<string, unknown> 以进行字段检查
-  const dataRecord = data as Record<string, unknown>
-  const html = typeof dataRecord.html === "string" ? dataRecord.html : ""
-  const sourceText = typeof dataRecord.sourceText === "string" ? dataRecord.sourceText : ""
+  if (!isRecord(node)) return ""
+  const data = node.data
+  if (!isRecord(data)) return ""
+  const html = typeof data.html === "string" ? data.html : ""
+  const sourceText = typeof data.sourceText === "string" ? data.sourceText : ""
   return html || sourceText || ""
 }
 
+// P2 修复：AI prompt 提取为模块常量，便于维护和未来国际化
+// 注：AI prompt 属于系统级提示词，非用户可见文本，暂不纳入 next-intl i18n 体系
+const AI_SUGGEST_PROMPT_TEMPLATE = `你是教学设计助手。以下是教师备课内容：
+---
+{text}
+---
+请从下列知识点中推荐最相关的 3-8 个，并说明理由。返回 JSON 数组，每项含 id/name/reason。
+候选知识点：{kpList}`;
+
 export async function suggestKnowledgePoints(
   doc: { nodes: unknown[] },
   textbookId?: string,
@@ -52,13 +57,10 @@ export async function suggestKnowledgePoints(
 
   const kpList = allKps.map((kp) => ({ id: kp.id, name: kp.name })).slice(0, 100);
 
-  // 3. 调用 AI
-  const prompt = `你是教学设计助手。以下是教师备课内容：
----
-${text}
----
-请从下列知识点中推荐最相关的 3-8 个，并说明理由。返回 JSON 数组，每项含 id/name/reason。
-候选知识点：${JSON.stringify(kpList)}`;
+  // 3. 调用 AI（使用模板构建 prompt）
+  const prompt = AI_SUGGEST_PROMPT_TEMPLATE
+    .replace("{text}", text)
+    .replace("{kpList}", JSON.stringify(kpList));
 
   const { content } = await createAiChatCompletion({
     messages: [{ role: "user", content: prompt }],