P0 修复(严重):
- admin ContentRow 标签与值错配(stats.users→textbooks 等 6 处)
- admin/error.tsx 硬编码中文替换为 useTranslations
- UserGrowthChart 空数据时渲染 EmptyState(userGrowth/homeworkTrend 永远为空数组)
P1 修复(高):
- 新增 admin/dashboard 和 student/dashboard 的 loading.tsx + error.tsx
- 抽取 DashboardLoadingSkeleton 和 DashboardErrorFallback 共享组件,消除 5 套重复文件
- formatDate/formatLongDate 传入用户 locale(admin/teacher/student 共 6 个组件)
- 移除死代码:getCachedAdminDashboard、AvatarImage src={undefined}、TeacherStats isLoading prop
- filterTodaySchedule 改为泛型函数,消除 as 类型断言
- 辅助函数 getStatus/getDueUrgency 新增显式返回类型
- UserGrowthChart 新增 labelKey prop 区分用户增长/作业提交趋势标签
P2 修复(中):
- 4 个组件从客户端转为服务端组件(DashboardGreetingHeader、TeacherQuickActions、TeacherDashboardHeader、StudentDashboardHeader)
- Student dashboard 空状态新增 CTA(viewSchedule、viewAll)
- TeacherHomeworkCard 图标按钮新增 aria-label
- TeacherTodoCard 排序逻辑重写为可读的 if/return 模式
同步更新:
- docs/architecture/005_architecture_data.json 新增 DashboardLoadingSkeleton、DashboardErrorFallback 条目
- 新增 docs/architecture/audit/dashboard-audit-report-v3.md 审计报告
- dashboard.json 新增 6 个 i18n 键(textbooks/chapters/questions/exams/totalAssignments/totalSubmissions)
173 lines
4.9 KiB
TypeScript
173 lines
4.9 KiB
TypeScript
/**
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* AI 试卷生成管线(入口模块)
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*
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* 本目录由三个子模块组成:
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* - parse.ts: Zod schema、JSON 解析、纯转换函数、提示词
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* - request.ts: AI 请求构造与发送
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* - structure.ts: 结构生成与预览/草稿转换
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*
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* 本文件负责:
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* - 重新导出公共 API(schema、类型、函数)
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* - 编排高层流程(generateAiPreviewData / generateAiCreateDraftFromSource)
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*/
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import { z } from "zod"
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import {
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AiExamResponseSchema,
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AiQuestionSchema,
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} from "./parse"
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import {
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parseQuestionDetail,
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requestAiExamDraft,
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requestAiExamStructureDraft,
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validateExamSourceText,
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type SplitQuestionItem,
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} from "./request"
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import {
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buildPreviewPayload,
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mapWithConcurrency,
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previewToDraft,
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splitStructureItems,
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} from "./structure"
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// ---------------------------------------------------------------------------
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// Re-export public schemas & types
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// ---------------------------------------------------------------------------
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export {
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AiGeneratedStructureSchema,
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AiGeneratedStructureNodeSchema,
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AiInsertQuestionSchema,
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AiQuestionSchema,
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} from "./parse"
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export type {
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AiGeneratedQuestion,
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AiGeneratedStructureNode,
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AiPreviewData,
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AiPreviewQuestion,
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AiRewriteQuestionData,
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QuestionContentResult,
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} from "./parse"
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// ---------------------------------------------------------------------------
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// Re-export public functions
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// ---------------------------------------------------------------------------
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export { regenerateAiQuestionByInstruction } from "./request"
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// ---------------------------------------------------------------------------
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// High-level orchestration
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// ---------------------------------------------------------------------------
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export async function generateAiPreviewData(input: {
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title: string
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subject?: string
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grade?: string
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difficulty: number
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totalScore: number
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durationMin: number
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questionCount?: number
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sourceText: string
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aiProviderId?: string
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}) {
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const sourceValidation = await validateExamSourceText({
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sourceText: input.sourceText,
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aiProviderId: input.aiProviderId,
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})
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if (!sourceValidation.ok) {
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return { ok: false as const, message: sourceValidation.message }
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}
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const structureDraft = await requestAiExamStructureDraft(input)
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if (!structureDraft.ok) return structureDraft
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const splitItems = splitStructureItems(structureDraft.data)
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const limitedItems = typeof input.questionCount === "number" && input.questionCount > 0
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? splitItems.slice(0, input.questionCount)
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: splitItems
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if (limitedItems.length === 0) {
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return { ok: false as const, message: "AI returned no questions" }
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}
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const detailedQuestions = await mapWithConcurrency(limitedItems, 6, (item) => parseQuestionDetail({
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item,
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subject: input.subject,
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grade: input.grade,
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difficulty: input.difficulty,
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aiProviderId: input.aiProviderId,
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}))
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const hasSectionStructure = limitedItems.some((item: SplitQuestionItem) => item.sectionIndex !== null)
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const aiParsed: z.infer<typeof AiExamResponseSchema> = hasSectionStructure
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? {
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title: structureDraft.data.title ?? input.title,
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sections: (() => {
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const sectionMap = new Map<number, { title: string; questions: z.infer<typeof AiQuestionSchema>[] }>()
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limitedItems.forEach((item, index) => {
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if (item.sectionIndex === null) return
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const existed = sectionMap.get(item.sectionIndex)
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const question = detailedQuestions[index]
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if (existed) {
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existed.questions.push(question)
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return
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}
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sectionMap.set(item.sectionIndex, {
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title: item.sectionTitle || `Section ${item.sectionIndex + 1}`,
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questions: [question],
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})
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})
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return Array.from(sectionMap.entries())
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.sort((a, b) => a[0] - b[0])
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.map(([, section]) => section)
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})(),
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questions: undefined,
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}
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: {
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title: structureDraft.data.title ?? input.title,
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questions: detailedQuestions,
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sections: undefined,
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}
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const payload = buildPreviewPayload(aiParsed, input)
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return {
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ok: true as const,
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data: payload,
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rawOutput: structureDraft.rawOutput,
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}
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}
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export async function generateAiCreateDraftFromSource(input: {
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title: string
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subject?: string
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grade?: string
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difficulty: number
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totalScore: number
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durationMin: number
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questionCount?: number
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sourceText: string
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aiProviderId?: string
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}) {
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const preview = await generateAiPreviewData(input)
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if (!preview.ok) {
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return preview
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}
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const draft = previewToDraft(preview.data)
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return {
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ok: true as const,
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generated: draft.generated,
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structure: draft.structure,
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rawOutput: preview.rawOutput,
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}
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}
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export async function generateAiExamDraft(input: {
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title?: string
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subject?: string
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grade?: string
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difficulty?: number
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totalScore?: number
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durationMin?: number
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questionCount?: number
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sourceText: string
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aiProviderId?: string
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}) {
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return requestAiExamDraft(input)
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}
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