feat: 新增备课模块并修复全模块 P0/P1/P2 缺陷
Some checks failed
Security / deep-security-scan (push) Failing after 20m5s
DR Drill / dr-drill (push) Failing after 1m31s
CI / scheduled-backup (push) Failing after 1m31s
CI / backup-verify (push) Has been skipped
CI / weekly-dr-drill (push) Failing after 0s
CI / build-deploy (push) Has been cancelled
CI / security-scan (push) Has been cancelled

主要变更:

- 新增 lesson-preparation 模块: 备课编辑器、节点编辑、AI 建议、知识点选择、版本历史、作业发布

- 新增 shared 通用组件: charts/question-bank-filters/schedule-list/ui (chip-nav/filter-bar/page-header/stat-card/stat-item)

- 新增 student/admin 端 loading.tsx 与 error.tsx, 优化加载与错误态体验

- 新增 teacher/lesson-plans 页面 (列表/新建/编辑)

- 新增 drizzle 迁移 0002_tiny_lionheart 及 snapshot

- 新增 textbooks/schema.ts 与 exams/utils/normalize-structure.ts

- 修复 Tiptap v3 SSR hydration 崩溃 (rich-text-block immediatelyRender: false)

- 重构多模块 data-access/actions/组件, 修复权限校验与类型规范

- 同步架构文档 004/005 反映新增模块、导出、依赖关系

- 归档 bugs/* 测试报告与 e2e 测试脚本 (admin/parent/student/teacher web_test)
This commit is contained in:
SpecialX
2026-06-22 01:06:16 +08:00
parent d8962aba96
commit 978d9a8309
327 changed files with 34070 additions and 5642 deletions

View File

@@ -0,0 +1,65 @@
import "server-only";
import { env } from "@/env.mjs";
import { createAiChatCompletion } from "@/shared/lib/ai";
import {
getKnowledgePointsByTextbookId,
getKnowledgePointsByChapterId,
} from "@/modules/textbooks/data-access";
import type { LessonPlanDocument } from "./types";
export async function suggestKnowledgePoints(
doc: LessonPlanDocument,
textbookId?: string,
chapterId?: string,
): Promise<{ id: string; name: string; reason: string }[]> {
// 1. 提取课案纯文本
const text = doc.nodes
.map((b) => {
const d = b.data as { html?: string; sourceText?: string };
return d.html ?? d.sourceText ?? "";
})
.join("\n")
.slice(0, 3000);
if (!text.trim()) return [];
// 2. 获取候选知识点池
if (!textbookId) return [];
const allKps = chapterId
? await getKnowledgePointsByChapterId(chapterId)
: await getKnowledgePointsByTextbookId(textbookId);
if (allKps.length === 0) return [];
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)}`;
const { content } = await createAiChatCompletion({
messages: [{ role: "user", content: prompt }],
model: env.AI_MODEL ?? "gpt-4o-mini",
temperature: 0.3,
});
try {
// 尝试从返回内容中提取 JSON 数组
const jsonMatch = content.match(/\[[\s\S]*\]/);
if (!jsonMatch) return [];
const parsed = JSON.parse(jsonMatch[0]) as {
id: string;
name: string;
reason: string;
}[];
// 过滤掉不在候选池中的 id
const validIds = new Set(kpList.map((k) => k.id));
return parsed.filter((p) => validIds.has(p.id));
} catch {
return [];
}
}