feat(ai-admin-console): complete implementation and resolve lint compilation errors
This commit is contained in:
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// File: frontend/app/(admin)/admin/ai/page.tsx
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'use client';
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// Change Log
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// - 2026-05-21: เพิ่มหน้า AI Admin Console สำหรับเปิด/ปิด AI features.
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// - 2026-05-21: เพิ่มส่วนแสดงผลสถานะสุขภาพของระบบ AI (Ollama, Qdrant, queues) แบบ real-time polling 30s (T030, T031).
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// - 2026-05-21: เพิ่ม RAG Playground Sandbox tab สำหรับ Superadmin (T037, T038).
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// - 2026-05-21: เพิ่ม OCR Sandbox tab พร้อมการอัปเดตสถานะและการแสดงผล JSON แบบมีสีสำหรับ Superadmin (T043-T045).
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// - 2026-05-21: แก้ไข ESLint error เกี่ยวกับ any type และ console.error statement ให้ตรงตามมาตรฐาน Tier 1/2
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import { useState, useEffect } from 'react';
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import { useQuery } from '@tanstack/react-query';
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import { Brain, Loader2, Power, ShieldCheck, Cpu, Database, Activity, Search, Info, HelpCircle, AlertCircle } from 'lucide-react';
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import { Badge } from '@/components/ui/badge';
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import { Button } from '@/components/ui/button';
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import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
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import { Switch } from '@/components/ui/switch';
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import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs';
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import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from '@/components/ui/select';
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import { Textarea } from '@/components/ui/textarea';
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import { Progress } from '@/components/ui/progress';
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import { useAiStatus, useToggleAiFeatures, useAiHealth } from '@/hooks/use-ai-status';
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import { projectService } from '@/lib/services/project.service';
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import { adminAiService, AiSandboxJobResult } from '@/lib/services/admin-ai.service';
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import { toast } from 'sonner';
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interface SandboxProject {
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publicId: string;
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projectName: string;
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projectCode: string;
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}
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export default function AiAdminConsolePage() {
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const { data, isLoading, isError, refetch, isFetching } = useAiStatus();
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const { data: health, isLoading: isHealthLoading, refetch: refetchHealth } = useAiHealth();
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const toggleMutation = useToggleAiFeatures();
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const aiEnabled = data?.aiFeaturesEnabled ?? false;
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const busy = isLoading || toggleMutation.isPending;
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const [selectedProject, setSelectedProject] = useState<string>('');
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const [question, setQuestion] = useState<string>('');
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const [sandboxJobId, setSandboxJobId] = useState<string | null>(null);
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const [sandboxJobResult, setSandboxJobResult] = useState<AiSandboxJobResult | null>(null);
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const [isSandboxPolling, setIsSandboxPolling] = useState<boolean>(false);
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const [sandboxProgress, setSandboxProgress] = useState<number>(0);
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const [sandboxStatusText, setSandboxStatusText] = useState<string>('');
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const [ocrFile, setOcrFile] = useState<File | null>(null);
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const [ocrJobId, setOcrJobId] = useState<string | null>(null);
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const [ocrJobResult, setOcrJobResult] = useState<AiSandboxJobResult | null>(null);
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const [isOcrPolling, setIsOcrPolling] = useState<boolean>(false);
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const [ocrProgress, setOcrProgress] = useState<number>(0);
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const [ocrStatusText, setOcrStatusText] = useState<string>('');
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const { data: projects = [], isLoading: isProjectsLoading } = useQuery<SandboxProject[]>({
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queryKey: ['admin-sandbox-projects'],
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queryFn: async () => {
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const res = await projectService.getAll({ isActive: true, limit: 100 });
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return res as SandboxProject[];
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},
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});
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const handleToggle = async (enabled: boolean): Promise<void> => {
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await toggleMutation.mutateAsync(enabled);
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};
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const handleRefreshAll = async (): Promise<void> => {
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await Promise.all([refetch(), refetchHealth()]);
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};
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const handleSubmitSandbox = async (e: React.FormEvent): Promise<void> => {
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e.preventDefault();
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if (!selectedProject) {
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toast.error('กรุณาเลือกโครงการ');
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return;
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}
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if (!question.trim()) {
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toast.error('กรุณากรอกคำถาม');
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return;
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}
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try {
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setSandboxJobResult(null);
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setSandboxProgress(10);
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setSandboxStatusText('กำลังส่งคำถาม RAG เข้าสู่ระบบคิว...');
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const response = await adminAiService.submitSandboxRag(selectedProject, question);
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setSandboxJobId(response.requestPublicId);
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setIsSandboxPolling(true);
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toast.success('ส่งคำถามเข้าสู่คิว sandbox สำเร็จ');
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} catch (err) {
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const error = err as { response?: { data?: { message?: string } } };
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toast.error(error.response?.data?.message || 'เกิดข้อผิดพลาดในการส่งคำถาม RAG');
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setSandboxProgress(0);
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setSandboxStatusText('');
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}
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};
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useEffect(() => {
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if (!sandboxJobId) return;
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let timer: NodeJS.Timeout;
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const pollSandboxJob = async () => {
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try {
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const res = await adminAiService.getSandboxJobStatus(sandboxJobId);
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setSandboxJobResult(res);
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if (res.status === 'pending') {
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setSandboxProgress(20);
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setSandboxStatusText('อยู่ระหว่างเข้าคิวรอประมวลผล (Pending in BullMQ)...');
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} else if (res.status === 'processing') {
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setSandboxProgress(60);
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setSandboxStatusText('กำลังค้นหาเอกสารผ่าน Qdrant และประมวลผล RAG ด้วย Local LLM...');
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} else if (res.status === 'completed') {
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setSandboxProgress(100);
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setSandboxStatusText('ประมวลผลคำตอบเสร็จสิ้น');
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setIsSandboxPolling(false);
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setSandboxJobId(null);
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toast.success('RAG Sandbox ตอบคำถามสำเร็จ');
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} else if (res.status === 'failed') {
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setSandboxProgress(100);
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setSandboxStatusText('การประมวลผลล้มเหลว');
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setIsSandboxPolling(false);
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setSandboxJobId(null);
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toast.error(res.errorMessage || 'เกิดข้อผิดพลาดในการรัน RAG Playground');
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} else if (res.status === 'cancelled') {
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setSandboxProgress(100);
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setSandboxStatusText('การประมวลผลถูกยกเลิก');
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setIsSandboxPolling(false);
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setSandboxJobId(null);
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toast.error('Sandbox job ถูกยกเลิก');
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} else if (res.status === 'not_found') {
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setSandboxProgress(15);
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setSandboxStatusText('กำลังเตรียมการจัดคิว...');
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}
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} catch {
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// เงียบข้อผิดพลาดตามนโยบาย UI
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}
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};
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pollSandboxJob();
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timer = setInterval(pollSandboxJob, 5000);
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return () => {
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clearInterval(timer);
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};
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}, [sandboxJobId]);
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const handleSubmitOcr = async (e: React.FormEvent): Promise<void> => {
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e.preventDefault();
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if (!ocrFile) {
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toast.error('กรุณาเลือกไฟล์ PDF สำหรับทำ OCR');
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return;
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}
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if (ocrFile.size > 50 * 1024 * 1024) {
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toast.error('ขนาดไฟล์เกินกว่า 50MB');
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return;
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}
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if (ocrFile.type !== 'application/pdf' && !ocrFile.name.toLowerCase().endsWith('.pdf')) {
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toast.error('กรุณาอัปโหลดไฟล์ในรูปแบบ PDF เท่านั้น');
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return;
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}
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try {
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setOcrJobResult(null);
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setOcrProgress(10);
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setOcrStatusText('กำลังอัปโหลดไฟล์ไปยังระบบเซิร์ฟเวอร์...');
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const response = await adminAiService.submitSandboxExtract(ocrFile);
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setOcrJobId(response.requestPublicId);
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setIsOcrPolling(true);
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toast.success('อัปโหลดไฟล์สำเร็จและเข้าสู่คิว sandbox OCR');
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} catch (err) {
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const error = err as { response?: { data?: { message?: string } } };
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toast.error(error.response?.data?.message || 'เกิดข้อผิดพลาดในการทำ OCR Sandbox');
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setOcrProgress(0);
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setOcrStatusText('');
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}
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};
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useEffect(() => {
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if (!ocrJobId) return;
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let timer: NodeJS.Timeout;
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const pollOcrJob = async () => {
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try {
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const res = await adminAiService.getSandboxJobStatus(ocrJobId);
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setOcrJobResult(res);
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if (res.status === 'pending') {
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setOcrProgress(30);
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setOcrStatusText('อยู่ในคิวรอดำเนินการ (Pending in BullMQ)...');
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} else if (res.status === 'processing') {
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setOcrProgress(70);
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setOcrStatusText('กำลังอ่านไฟล์ PDF และสกัดข้อความด้วย OCR & LLM...');
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} else if (res.status === 'completed') {
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setOcrProgress(100);
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setOcrStatusText('การทำ OCR และสกัดข้อมูลเมตาดาต้าเสร็จสิ้น');
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setIsOcrPolling(false);
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setOcrJobId(null);
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toast.success('ทำ OCR Sandbox สำเร็จ');
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} else if (res.status === 'failed') {
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setOcrProgress(100);
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setOcrStatusText('การทำ OCR ล้มเหลว');
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setIsOcrPolling(false);
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setOcrJobId(null);
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toast.error(res.errorMessage || 'การทำ OCR Sandbox เกิดข้อผิดพลาด');
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} else if (res.status === 'cancelled') {
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setOcrProgress(100);
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setOcrStatusText('การทำ OCR ถูกยกเลิก');
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setIsOcrPolling(false);
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setOcrJobId(null);
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toast.error('OCR sandbox job ถูกยกเลิก');
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} else if (res.status === 'not_found') {
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setOcrProgress(20);
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setOcrStatusText('กำลังตรวจสอบสถานะคิวงาน...');
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}
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} catch {
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// เงียบข้อผิดพลาดตามนโยบาย UI
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}
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};
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pollOcrJob();
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timer = setInterval(pollOcrJob, 5000);
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return () => {
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clearInterval(timer);
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};
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}, [ocrJobId]);
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const renderStatusBadge = (status?: 'HEALTHY' | 'DEGRADED' | 'DOWN') => {
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if (!status) return <Badge variant="outline">Unknown</Badge>;
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switch (status) {
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case 'HEALTHY':
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return <Badge className="border-emerald-500/20 bg-emerald-500/10 text-emerald-500 hover:bg-emerald-500/20">Healthy</Badge>;
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case 'DEGRADED':
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return <Badge className="border-amber-500/20 bg-amber-500/10 text-amber-500 hover:bg-amber-500/20">Degraded</Badge>;
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default:
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return <Badge variant="destructive">Down</Badge>;
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}
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};
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return (
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<div className="space-y-6">
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<div className="flex flex-col gap-4 sm:flex-row sm:items-center sm:justify-between">
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<div>
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<h1 className="flex items-center gap-2 text-2xl font-bold">
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<Brain className="h-6 w-6" />
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AI Console
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</h1>
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<p className="mt-1 text-sm text-muted-foreground">ควบคุมสถานะ AI features สำหรับผู้ใช้ทั่วไป</p>
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</div>
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<Badge variant={aiEnabled ? 'default' : 'destructive'} className="w-fit">
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{aiEnabled ? 'AI Enabled' : 'AI Disabled'}
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</Badge>
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</div>
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<Tabs defaultValue="overview" className="w-full space-y-6">
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<TabsList className="grid w-full grid-cols-3 max-w-[500px]">
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<TabsTrigger value="overview">Overview & Health</TabsTrigger>
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<TabsTrigger value="playground">RAG Playground</TabsTrigger>
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<TabsTrigger value="ocr">OCR Sandbox</TabsTrigger>
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</TabsList>
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<TabsContent value="overview" className="space-y-6">
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<div className="grid gap-4 md:grid-cols-3">
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<Card className="relative overflow-hidden border border-border/50 bg-background/50 backdrop-blur-md">
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<CardHeader className="flex flex-row items-center justify-between pb-2">
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<CardTitle className="flex items-center gap-2 text-sm font-medium">
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<Cpu className="h-4 w-4 text-primary" />
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Ollama AI Engine
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</CardTitle>
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{isHealthLoading ? <Loader2 className="h-3 w-3 animate-spin text-muted-foreground" /> : renderStatusBadge(health?.ollama?.status)}
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</CardHeader>
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<CardContent className="space-y-2">
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<div className="flex items-center justify-between text-xs text-muted-foreground">
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<span>ความเร็วตอบสนอง</span>
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<span className="font-semibold text-foreground">{health?.ollama?.latencyMs !== undefined ? `${health.ollama.latencyMs} ms` : '-'}</span>
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</div>
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<div className="space-y-1">
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<span className="text-xs text-muted-foreground">โมเดลที่โหลดอยู่:</span>
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<div className="flex flex-wrap gap-1">
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{health?.ollama?.models && health.ollama.models.length > 0 ? (
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health.ollama.models.map((m) => (
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<Badge key={m} variant="secondary" className="text-[10px] py-0 px-1">
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{m}
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</Badge>
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))
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) : (
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<span className="text-[10px] text-muted-foreground italic">ไม่มีโมเดลที่โหลดอยู่</span>
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)}
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</div>
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</div>
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{health?.ollama?.error && (
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<p className="mt-1 text-[10px] text-destructive line-clamp-2">{health.ollama.error}</p>
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)}
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</CardContent>
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</Card>
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<Card className="relative overflow-hidden border border-border/50 bg-background/50 backdrop-blur-md">
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<CardHeader className="flex flex-row items-center justify-between pb-2">
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<CardTitle className="flex items-center gap-2 text-sm font-medium">
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<Database className="h-4 w-4 text-primary" />
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Qdrant Vector DB
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</CardTitle>
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{isHealthLoading ? <Loader2 className="h-3 w-3 animate-spin text-muted-foreground" /> : renderStatusBadge(health?.qdrant?.status)}
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</CardHeader>
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<CardContent className="space-y-2">
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<div className="flex items-center justify-between text-xs text-muted-foreground">
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<span>ความเร็วตอบสนอง</span>
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<span className="font-semibold text-foreground">{health?.qdrant?.latencyMs !== undefined ? `${health.qdrant.latencyMs} ms` : '-'}</span>
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</div>
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<div className="space-y-1">
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<span className="text-xs text-muted-foreground">คอลเลกชัน:</span>
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<div className="flex flex-wrap gap-1">
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{health?.qdrant?.collections && health.qdrant.collections.length > 0 ? (
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health.qdrant.collections.map((c) => (
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<Badge key={c} variant="outline" className="text-[10px] py-0 px-1 bg-background/30">
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{c}
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</Badge>
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))
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) : (
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<span className="text-[10px] text-muted-foreground italic">ไม่มีคอลเลกชัน</span>
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)}
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</div>
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</div>
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{health?.qdrant?.error && (
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<p className="mt-1 text-[10px] text-destructive line-clamp-2">{health.qdrant.error}</p>
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)}
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</CardContent>
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</Card>
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<Card className="relative overflow-hidden border border-border/50 bg-background/50 backdrop-blur-md">
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<CardHeader className="flex flex-row items-center justify-between pb-2">
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<CardTitle className="flex items-center gap-2 text-sm font-medium">
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<Activity className="h-4 w-4 text-primary" />
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BullMQ Queue Health
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</CardTitle>
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{isHealthLoading ? (
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<Loader2 className="h-3 w-3 animate-spin text-muted-foreground" />
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) : (
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<Badge variant="outline" className="text-[10px]">
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{health?.timestamp ? new Date(health.timestamp).toLocaleTimeString() : 'N/A'}
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</Badge>
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)}
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</CardHeader>
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<CardContent className="space-y-2">
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<div className="space-y-1 text-xs">
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<div className="flex items-center justify-between font-medium text-[11px] border-b pb-1 mb-1">
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<span>คิว / สถานะงาน</span>
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<span>Active / Waiting / Failed</span>
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</div>
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<div className="flex items-center justify-between text-muted-foreground">
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<span className="flex items-center gap-1 font-mono">
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realtime
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{health?.queues?.realtime?.isPaused && <span className="text-[9px] text-amber-500 font-sans">(Paused)</span>}
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</span>
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<span className="font-semibold text-foreground">
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{health?.queues?.realtime?.active ?? 0} / {health?.queues?.realtime?.waiting ?? 0} /{' '}
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<span className={(health?.queues?.realtime?.failed ?? 0) > 0 ? 'text-destructive' : ''}>
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{health?.queues?.realtime?.failed ?? 0}
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</span>
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</span>
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</div>
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<div className="flex items-center justify-between text-muted-foreground">
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<span className="flex items-center gap-1 font-mono">
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batch
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{health?.queues?.batch?.isPaused && <span className="text-[9px] text-amber-500 font-sans">(Paused)</span>}
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</span>
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<span className="font-semibold text-foreground">
|
||||
{health?.queues?.batch?.active ?? 0} / {health?.queues?.batch?.waiting ?? 0} /{' '}
|
||||
<span className={(health?.queues?.batch?.failed ?? 0) > 0 ? 'text-destructive' : ''}>
|
||||
{health?.queues?.batch?.failed ?? 0}
|
||||
</span>
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
{(health?.queues?.realtime?.error || health?.queues?.batch?.error) && (
|
||||
<p className="mt-1 text-[10px] text-destructive line-clamp-1">
|
||||
{health.queues.realtime.error || health.queues.batch.error}
|
||||
</p>
|
||||
)}
|
||||
</CardContent>
|
||||
</Card>
|
||||
</div>
|
||||
<Card>
|
||||
<CardHeader>
|
||||
<CardTitle className="flex items-center gap-2 text-lg">
|
||||
<Power className="h-5 w-5" />
|
||||
System Toggle
|
||||
</CardTitle>
|
||||
</CardHeader>
|
||||
<CardContent>
|
||||
<div className="flex flex-col gap-5 sm:flex-row sm:items-center sm:justify-between">
|
||||
<div className="space-y-1">
|
||||
<div className="text-base font-medium">
|
||||
{aiEnabled ? 'AI พร้อมให้ผู้ใช้ทั่วไปใช้งาน' : 'AI ถูกปิดสำหรับผู้ใช้ทั่วไป'}
|
||||
</div>
|
||||
<div className="text-sm text-muted-foreground">
|
||||
Superadmin ยังสามารถเข้าถึงส่วนทดสอบและดูแลระบบได้ตามสิทธิ์
|
||||
</div>
|
||||
</div>
|
||||
<div className="flex items-center gap-3">
|
||||
{busy && <Loader2 className="h-4 w-4 animate-spin" />}
|
||||
<Switch
|
||||
checked={aiEnabled}
|
||||
disabled={busy || isError}
|
||||
aria-label="Toggle AI features"
|
||||
onCheckedChange={handleToggle}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
{isError && (
|
||||
<div className="mt-4 rounded-md border border-destructive/30 bg-destructive/10 p-3 text-sm text-destructive">
|
||||
ไม่สามารถโหลดสถานะ AI ได้ กรุณาลองใหม่อีกครั้ง
|
||||
</div>
|
||||
)}
|
||||
</CardContent>
|
||||
</Card>
|
||||
<div className="grid gap-4 md:grid-cols-2">
|
||||
<Card>
|
||||
<CardHeader>
|
||||
<CardTitle className="flex items-center gap-2 text-base">
|
||||
<ShieldCheck className="h-5 w-5" />
|
||||
Protection
|
||||
</CardTitle>
|
||||
</CardHeader>
|
||||
<CardContent className="text-sm text-muted-foreground">
|
||||
เมื่อปิด AI ระบบจะบล็อก AI inference endpoints สำหรับผู้ใช้ทั่วไปด้วย HTTP 503
|
||||
และให้ผู้ใช้กรอกข้อมูลเองชั่วคราว
|
||||
</CardContent>
|
||||
</Card>
|
||||
<Card>
|
||||
<CardHeader>
|
||||
<CardTitle className="text-base">Polling</CardTitle>
|
||||
</CardHeader>
|
||||
<CardContent className="flex items-center justify-between gap-3 text-sm text-muted-foreground">
|
||||
<span>
|
||||
อัปเดตสถานะทุก 30 วินาที
|
||||
{(isFetching || isHealthLoading) && !(isLoading || isHealthLoading) ? ' (กำลังรีเฟรช)' : ''}
|
||||
</span>
|
||||
<Button type="button" variant="outline" size="sm" onClick={() => void handleRefreshAll()}>
|
||||
Refresh
|
||||
</Button>
|
||||
</CardContent>
|
||||
</Card>
|
||||
</div>
|
||||
</TabsContent>
|
||||
<TabsContent value="playground" className="space-y-6">
|
||||
<Card className="border border-border/50 bg-background/50 backdrop-blur-md">
|
||||
<CardHeader>
|
||||
<CardTitle className="flex items-center gap-2 text-lg">
|
||||
<Search className="h-5 w-5 text-primary" />
|
||||
RAG Sandbox Playground (isolated)
|
||||
</CardTitle>
|
||||
<p className="text-sm text-muted-foreground">
|
||||
พื้นที่ทดสอบสืบค้นเอกสารและสรุปผลด้วย Retrieval-Augmented Generation (RAG) คิวงานใช้ระดับความสำคัญพิเศษ (Priority 1)
|
||||
</p>
|
||||
</CardHeader>
|
||||
<CardContent>
|
||||
<form onSubmit={handleSubmitSandbox} className="space-y-4">
|
||||
<div className="space-y-2">
|
||||
<label htmlFor="project-select" className="text-sm font-medium text-foreground">
|
||||
เลือกโครงการ
|
||||
</label>
|
||||
{isProjectsLoading ? (
|
||||
<div className="flex items-center gap-2 text-sm text-muted-foreground">
|
||||
<Loader2 className="h-4 w-4 animate-spin" />
|
||||
กำลังโหลดรายการโครงการ...
|
||||
</div>
|
||||
) : (
|
||||
<Select value={selectedProject} onValueChange={setSelectedProject} disabled={isSandboxPolling}>
|
||||
<SelectTrigger id="project-select" className="w-full">
|
||||
<SelectValue placeholder="-- กรุณาเลือกโครงการ --" />
|
||||
</SelectTrigger>
|
||||
<SelectContent>
|
||||
{projects.map((proj) => (
|
||||
<SelectItem key={proj.publicId} value={proj.publicId}>
|
||||
{proj.projectName} ({proj.projectCode})
|
||||
</SelectItem>
|
||||
))}
|
||||
</SelectContent>
|
||||
</Select>
|
||||
)}
|
||||
</div>
|
||||
<div className="space-y-2">
|
||||
<label htmlFor="rag-question" className="text-sm font-medium text-foreground">
|
||||
คำถามเพื่อการสืบค้น
|
||||
</label>
|
||||
<Textarea
|
||||
id="rag-question"
|
||||
placeholder="ตัวอย่าง: ค้นหาเอกสาร RFA ล่าสุดที่อนุมัติเกี่ยวกับ Shop Drawing ของงานระบบไฟฟ้า"
|
||||
value={question}
|
||||
onChange={(e) => setQuestion(e.target.value)}
|
||||
disabled={isSandboxPolling}
|
||||
rows={4}
|
||||
className="resize-none border border-input bg-background/50"
|
||||
/>
|
||||
<div className="text-right text-[11px] text-muted-foreground">
|
||||
{question.length} ตัวอักษร
|
||||
</div>
|
||||
</div>
|
||||
<div className="flex justify-end gap-3 pt-2">
|
||||
<Button
|
||||
type="submit"
|
||||
disabled={isSandboxPolling || !selectedProject || !question.trim()}
|
||||
className="flex items-center gap-2"
|
||||
>
|
||||
{isSandboxPolling ? (
|
||||
<>
|
||||
<Loader2 className="h-4 w-4 animate-spin" />
|
||||
กำลังประมวลผล Sandbox...
|
||||
</>
|
||||
) : (
|
||||
<>
|
||||
<Search className="h-4 w-4" />
|
||||
ส่งคำถาม Sandbox RAG
|
||||
</>
|
||||
)}
|
||||
</Button>
|
||||
</div>
|
||||
</form>
|
||||
</CardContent>
|
||||
</Card>
|
||||
{isSandboxPolling && (
|
||||
<Card className="border border-amber-500/20 bg-amber-500/5">
|
||||
<CardContent className="pt-6 space-y-4">
|
||||
<div className="flex items-center justify-between text-sm font-medium">
|
||||
<div className="flex items-center gap-2">
|
||||
<Loader2 className="h-4 w-4 animate-spin text-amber-500" />
|
||||
<span>{sandboxStatusText}</span>
|
||||
</div>
|
||||
<span className="text-xs text-muted-foreground">{sandboxProgress}%</span>
|
||||
</div>
|
||||
<Progress value={sandboxProgress} className="h-2" />
|
||||
<div className="rounded bg-background/50 p-2 text-[11px] text-muted-foreground font-mono flex items-center gap-2">
|
||||
<Info className="h-3 w-3" />
|
||||
ID คำขอ: {sandboxJobId}
|
||||
</div>
|
||||
</CardContent>
|
||||
</Card>
|
||||
)}
|
||||
{sandboxJobResult && (
|
||||
<div className="space-y-6">
|
||||
{sandboxJobResult.status === 'completed' && (
|
||||
<>
|
||||
<Card className="border border-emerald-500/20 bg-background/50 backdrop-blur-md">
|
||||
<CardHeader className="border-b border-border/30 pb-3 flex flex-row items-center justify-between">
|
||||
<CardTitle className="text-base text-emerald-600 dark:text-emerald-400 flex items-center gap-2">
|
||||
<Brain className="h-4 w-4" />
|
||||
คำตอบที่ประมวลผลได้ (RAG Sandbox Answer)
|
||||
</CardTitle>
|
||||
{sandboxJobResult.usedFallbackModel && (
|
||||
<Badge variant="outline" className="text-[10px] text-amber-500 border-amber-500/20 bg-amber-500/5">
|
||||
โมเดลสำรอง (Fallback)
|
||||
</Badge>
|
||||
)}
|
||||
</CardHeader>
|
||||
<CardContent className="pt-4">
|
||||
<div className="whitespace-pre-wrap text-sm leading-relaxed text-foreground select-text font-sans">
|
||||
{sandboxJobResult.answer}
|
||||
</div>
|
||||
{sandboxJobResult.completedAt && (
|
||||
<div className="mt-4 text-right text-[10px] text-muted-foreground">
|
||||
เสร็จสิ้นเมื่อ: {new Date(sandboxJobResult.completedAt).toLocaleString()}
|
||||
</div>
|
||||
)}
|
||||
</CardContent>
|
||||
</Card>
|
||||
<Card className="border border-border/50 bg-background/50 backdrop-blur-md">
|
||||
<CardHeader className="pb-3">
|
||||
<CardTitle className="text-sm font-medium flex items-center gap-2 text-muted-foreground">
|
||||
<HelpCircle className="h-4 w-4" />
|
||||
เอกสารที่อ้างอิง ({sandboxJobResult.citations?.length ?? 0} รายการ)
|
||||
</CardTitle>
|
||||
</CardHeader>
|
||||
<CardContent>
|
||||
{sandboxJobResult.citations && sandboxJobResult.citations.length > 0 ? (
|
||||
<div className="grid gap-3 sm:grid-cols-1">
|
||||
{sandboxJobResult.citations.map((cite, index) => (
|
||||
<div
|
||||
key={cite.pointId || index}
|
||||
className="rounded-lg border border-border/40 bg-background/30 p-3 hover:bg-background/60 transition-colors space-y-2"
|
||||
>
|
||||
<div className="flex flex-wrap items-center justify-between gap-2">
|
||||
<div className="flex items-center gap-2">
|
||||
<Badge className="bg-primary/10 text-primary hover:bg-primary/20 text-[10px] border-none py-0">
|
||||
{cite.docType || 'Document'}
|
||||
</Badge>
|
||||
<span className="text-xs font-semibold text-foreground">
|
||||
{cite.docNumber || 'ไม่มีเลขที่เอกสาร'}
|
||||
</span>
|
||||
</div>
|
||||
<Badge variant="outline" className="text-[10px] py-0 border-border/50 text-muted-foreground">
|
||||
Score Match: {(cite.score * 100).toFixed(1)}%
|
||||
</Badge>
|
||||
</div>
|
||||
{cite.snippet && (
|
||||
<p className="text-xs text-muted-foreground line-clamp-3 bg-background/50 p-2 rounded border border-border/20 italic font-sans leading-relaxed">
|
||||
"{cite.snippet}"
|
||||
</p>
|
||||
)}
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
) : (
|
||||
<div className="text-center py-6 text-xs text-muted-foreground italic">
|
||||
ไม่มีการสกัดเอกสารอ้างอิงสำหรับคำถามนี้
|
||||
</div>
|
||||
)}
|
||||
</CardContent>
|
||||
</Card>
|
||||
</>
|
||||
)}
|
||||
{sandboxJobResult.status === 'failed' && (
|
||||
<Card className="border border-destructive/20 bg-destructive/5">
|
||||
<CardHeader className="flex flex-row items-center gap-2 pb-2 text-destructive">
|
||||
<AlertCircle className="h-5 w-5" />
|
||||
<CardTitle className="text-sm font-medium">ประมวลผล Sandbox ล้มเหลว</CardTitle>
|
||||
</CardHeader>
|
||||
<CardContent>
|
||||
<p className="text-xs text-muted-foreground leading-relaxed">
|
||||
{sandboxJobResult.errorMessage || 'เกิดข้อผิดพลาดในการเรียกใช้ Local LLM หรือ Vector DB ใน Sandbox Sandbox process ล้มเหลว กรุณาตรวจสอบสถานะสุขภาพของ Ollama Engine/Qdrant DB ใน Overview Tab'}
|
||||
</p>
|
||||
</CardContent>
|
||||
</Card>
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
</TabsContent>
|
||||
<TabsContent value="ocr" className="space-y-6">
|
||||
<Card className="border border-border/50 bg-background/50 backdrop-blur-md">
|
||||
<CardHeader>
|
||||
<CardTitle className="flex items-center gap-2 text-lg">
|
||||
<Brain className="h-5 w-5 text-primary" />
|
||||
OCR Sandbox Playground (isolated)
|
||||
</CardTitle>
|
||||
<p className="text-sm text-muted-foreground">
|
||||
พื้นที่อัปโหลดไฟล์ PDF เพื่อทำการทดสอบทำ OCR และจำลองการดึง Metadata ออกมาในรูปแบบโครงสร้าง JSON โดยไม่บันทึกข้อมูลลงฐานข้อมูลจริง
|
||||
</p>
|
||||
</CardHeader>
|
||||
<CardContent>
|
||||
<form onSubmit={handleSubmitOcr} className="space-y-4">
|
||||
<div className="space-y-2">
|
||||
<label className="text-sm font-medium text-foreground">
|
||||
อัปโหลดเอกสาร PDF (ขนาดไม่เกิน 50MB)
|
||||
</label>
|
||||
<div
|
||||
className={`flex flex-col items-center justify-center rounded-lg border border-dashed p-8 transition-colors ${
|
||||
ocrFile
|
||||
? 'border-primary/50 bg-primary/5'
|
||||
: 'border-muted-foreground/20 hover:bg-muted/10'
|
||||
}`}
|
||||
onDragOver={(e) => {
|
||||
e.preventDefault();
|
||||
}}
|
||||
onDrop={(e) => {
|
||||
e.preventDefault();
|
||||
if (isOcrPolling) return;
|
||||
const file = e.dataTransfer.files?.[0];
|
||||
if (file) {
|
||||
if (file.type === 'application/pdf' || file.name.toLowerCase().endsWith('.pdf')) {
|
||||
setOcrFile(file);
|
||||
} else {
|
||||
toast.error('กรุณาเลือกไฟล์ PDF เท่านั้น');
|
||||
}
|
||||
}
|
||||
}}
|
||||
>
|
||||
<Activity className="h-10 w-10 text-muted-foreground/60 mb-2" />
|
||||
{ocrFile ? (
|
||||
<div className="text-center space-y-1">
|
||||
<p className="text-sm font-medium text-foreground">{ocrFile.name}</p>
|
||||
<p className="text-xs text-muted-foreground">
|
||||
({(ocrFile.size / 1024 / 1024).toFixed(2)} MB)
|
||||
</p>
|
||||
<Button
|
||||
type="button"
|
||||
variant="ghost"
|
||||
size="sm"
|
||||
disabled={isOcrPolling}
|
||||
onClick={() => setOcrFile(null)}
|
||||
className="mt-2 text-xs text-destructive hover:text-destructive hover:bg-destructive/10"
|
||||
>
|
||||
ลบไฟล์
|
||||
</Button>
|
||||
</div>
|
||||
) : (
|
||||
<div className="text-center space-y-1">
|
||||
<p className="text-sm text-muted-foreground">
|
||||
ลากและวางไฟล์ PDF หรือคลิกเพื่ออัปโหลด
|
||||
</p>
|
||||
<input
|
||||
type="file"
|
||||
accept=".pdf"
|
||||
disabled={isOcrPolling}
|
||||
onChange={(e) => {
|
||||
const file = e.target.files?.[0];
|
||||
if (file) setOcrFile(file);
|
||||
}}
|
||||
className="hidden"
|
||||
id="ocr-file-upload"
|
||||
/>
|
||||
<label
|
||||
htmlFor="ocr-file-upload"
|
||||
className="mt-2 inline-flex h-8 items-center justify-center rounded-md bg-secondary px-3 text-xs font-medium text-secondary-foreground ring-offset-background transition-colors hover:bg-secondary/80 focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:pointer-events-none disabled:opacity-50 cursor-pointer"
|
||||
>
|
||||
เลือกไฟล์
|
||||
</label>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
<div className="flex justify-end gap-3 pt-2">
|
||||
<Button
|
||||
type="submit"
|
||||
disabled={isOcrPolling || !ocrFile}
|
||||
className="flex items-center gap-2"
|
||||
>
|
||||
{isOcrPolling ? (
|
||||
<>
|
||||
<Loader2 className="h-4 w-4 animate-spin" />
|
||||
กำลังประมวลผล OCR...
|
||||
</>
|
||||
) : (
|
||||
<>
|
||||
<Power className="h-4 w-4" />
|
||||
เริ่มทำ OCR Sandbox
|
||||
</>
|
||||
)}
|
||||
</Button>
|
||||
</div>
|
||||
</form>
|
||||
</CardContent>
|
||||
</Card>
|
||||
{isOcrPolling && (
|
||||
<Card className="border border-amber-500/20 bg-amber-500/5">
|
||||
<CardContent className="pt-6 space-y-4">
|
||||
<div className="flex items-center justify-between text-sm font-medium">
|
||||
<div className="flex items-center gap-2">
|
||||
<Loader2 className="h-4 w-4 animate-spin text-amber-500" />
|
||||
<span>{ocrStatusText}</span>
|
||||
</div>
|
||||
<span className="text-xs text-muted-foreground">{ocrProgress}%</span>
|
||||
</div>
|
||||
<Progress value={ocrProgress} className="h-2" />
|
||||
<div className="rounded bg-background/50 p-2 text-[11px] text-muted-foreground font-mono flex items-center gap-2">
|
||||
<Info className="h-3 w-3" />
|
||||
ID คำขอ: {ocrJobId}
|
||||
</div>
|
||||
</CardContent>
|
||||
</Card>
|
||||
)}
|
||||
{ocrJobResult && (
|
||||
<div className="space-y-6">
|
||||
{ocrJobResult.status === 'completed' && (
|
||||
<Card className="border border-emerald-500/20 bg-background/50 backdrop-blur-md">
|
||||
<CardHeader className="border-b border-border/30 pb-3 flex flex-row items-center justify-between">
|
||||
<CardTitle className="text-base text-emerald-600 dark:text-emerald-400 flex items-center gap-2">
|
||||
<Brain className="h-4 w-4" />
|
||||
ผลลัพธ์การสกัด Metadata แบบโครงสร้าง (JSON Output)
|
||||
</CardTitle>
|
||||
</CardHeader>
|
||||
<CardContent className="pt-4">
|
||||
<div className="relative rounded-md bg-muted p-4 font-mono text-xs overflow-auto max-h-[400px]">
|
||||
<pre className="text-emerald-600 dark:text-emerald-400 select-text">
|
||||
{ocrJobResult.answer}
|
||||
</pre>
|
||||
</div>
|
||||
{ocrJobResult.completedAt && (
|
||||
<div className="mt-4 text-right text-[10px] text-muted-foreground">
|
||||
เสร็จสิ้นเมื่อ: {new Date(ocrJobResult.completedAt).toLocaleString()}
|
||||
</div>
|
||||
)}
|
||||
</CardContent>
|
||||
</Card>
|
||||
)}
|
||||
{ocrJobResult.status === 'failed' && (
|
||||
<Card className="border border-destructive/20 bg-destructive/5">
|
||||
<CardHeader className="flex flex-row items-center gap-2 pb-2 text-destructive">
|
||||
<AlertCircle className="h-5 w-5" />
|
||||
<CardTitle className="text-sm font-medium">ประมวลผล OCR Sandbox ล้มเหลว</CardTitle>
|
||||
</CardHeader>
|
||||
<CardContent>
|
||||
<p className="text-xs text-muted-foreground leading-relaxed">
|
||||
{ocrJobResult.errorMessage || 'เกิดข้อผิดพลาดขึ้นระหว่างการอ่านไฟล์เอกสาร PDF หรือการเรียก LLM Sandbox สำหรับถอดความเมตาดาต้า กรุณาตรวจสอบสถานะสุขภาพของตัวบริการ'}
|
||||
</p>
|
||||
</CardContent>
|
||||
</Card>
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
</TabsContent>
|
||||
</Tabs>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -8,6 +8,7 @@ import SessionProvider from '@/providers/session-provider'; // ✅ Import เข
|
||||
import ThemeProvider from '@/providers/theme-provider';
|
||||
import { Toaster } from '@/components/ui/sonner';
|
||||
import { headers } from 'next/headers';
|
||||
import { AiStatusBannerHost } from '@/components/ai/ai-status-banner-host';
|
||||
|
||||
const inter = Inter({ subsets: ['latin'] });
|
||||
|
||||
@@ -30,6 +31,7 @@ export default async function RootLayout({ children }: RootLayoutProps) {
|
||||
<SessionProvider>
|
||||
<ThemeProvider nonce={nonce}>
|
||||
<QueryProvider>
|
||||
<AiStatusBannerHost />
|
||||
{children}
|
||||
<Toaster />
|
||||
</QueryProvider>
|
||||
|
||||
@@ -4,7 +4,7 @@ import Link from 'next/link';
|
||||
import { usePathname } from 'next/navigation';
|
||||
import { useState } from 'react';
|
||||
import { cn } from '@/lib/utils';
|
||||
import { Settings, Activity, Shield, FileStack, ChevronDown, ChevronRight, Database } from 'lucide-react';
|
||||
import { Settings, Activity, Shield, FileStack, ChevronDown, ChevronRight, Database, Brain } from 'lucide-react';
|
||||
|
||||
interface MenuItem {
|
||||
href?: string;
|
||||
@@ -62,6 +62,7 @@ export const menuItems: MenuItem[] = [
|
||||
{ href: '/admin/migration/errors', label: 'Error Logs' },
|
||||
],
|
||||
},
|
||||
{ href: '/admin/ai', label: 'AI Console', icon: Brain },
|
||||
{ href: '/admin/settings', label: 'Settings', icon: Settings },
|
||||
];
|
||||
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
// File: components/ai/AiStatusBanner.tsx
|
||||
// Change Log
|
||||
// - 2026-05-14: เพิ่ม banner สำหรับ graceful degradation ของ AI staging.
|
||||
// - 2026-05-21: รองรับ global banner เมื่อ Superadmin ปิด AI features.
|
||||
'use client';
|
||||
|
||||
import { AlertTriangle, CheckCircle2 } from 'lucide-react';
|
||||
@@ -8,19 +9,20 @@ import { Alert, AlertDescription, AlertTitle } from '@/components/ui/alert';
|
||||
import { useTranslations } from '@/hooks/use-translations';
|
||||
|
||||
interface AiStatusBannerProps {
|
||||
isOffline: boolean;
|
||||
isOffline?: boolean;
|
||||
aiEnabled?: boolean;
|
||||
queuePaused?: boolean;
|
||||
}
|
||||
|
||||
export function AiStatusBanner({ isOffline, queuePaused = false }: AiStatusBannerProps) {
|
||||
export function AiStatusBanner({ isOffline = false, aiEnabled = true, queuePaused = false }: AiStatusBannerProps) {
|
||||
const t = useTranslations();
|
||||
|
||||
if (isOffline) {
|
||||
if (isOffline || !aiEnabled) {
|
||||
return (
|
||||
<Alert variant="destructive">
|
||||
<AlertTriangle className="h-4 w-4" />
|
||||
<AlertTitle>{t('ai.service_unavailable')}</AlertTitle>
|
||||
<AlertDescription>{t('ai.status.offlineDescription')}</AlertDescription>
|
||||
<AlertTitle>{t('ai.status.offlineTitle')}</AlertTitle>
|
||||
<AlertDescription>{t('ai.status.disabledDescription')}</AlertDescription>
|
||||
</Alert>
|
||||
);
|
||||
}
|
||||
|
||||
@@ -0,0 +1,29 @@
|
||||
// File: components/ai/__tests__/ai-suggestion-button.test.tsx
|
||||
// Change Log
|
||||
// - 2026-05-21: เพิ่ม unit tests สำหรับ soft fallback ของปุ่ม AI suggestion.
|
||||
|
||||
import { describe, expect, it, vi } from 'vitest';
|
||||
import { fireEvent, render, screen } from '@testing-library/react';
|
||||
import { AiSuggestionButton } from '../ai-suggestion-button';
|
||||
|
||||
describe('AiSuggestionButton', () => {
|
||||
it('ควร disable และแสดงข้อความ fallback เมื่อ AI ถูกปิด', () => {
|
||||
const onClick = vi.fn();
|
||||
render(<AiSuggestionButton aiEnabled={false} onClick={onClick} />);
|
||||
|
||||
const button = screen.getByRole('button', { name: /AI Suggestion/i });
|
||||
expect(button).toBeDisabled();
|
||||
expect(screen.getByText('ระบบ AI ไม่พร้อมใช้งานชั่วคราว กรุณากรอกข้อมูลด้วยตนเอง')).toBeInTheDocument();
|
||||
|
||||
fireEvent.click(button);
|
||||
expect(onClick).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it('ควรเรียก onClick เมื่อ AI เปิดใช้งาน', () => {
|
||||
const onClick = vi.fn();
|
||||
render(<AiSuggestionButton aiEnabled={true} onClick={onClick} />);
|
||||
|
||||
fireEvent.click(screen.getByRole('button', { name: /AI Suggestion/i }));
|
||||
expect(onClick).toHaveBeenCalledTimes(1);
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,28 @@
|
||||
// File: components/ai/ai-status-banner-host.tsx
|
||||
// Change Log
|
||||
// - 2026-05-21: เพิ่ม host สำหรับ global AI disabled banner เฉพาะผู้ใช้ที่มีสิทธิ์ AI.
|
||||
'use client';
|
||||
|
||||
import { useEffect, useState } from 'react';
|
||||
import { AiStatusBanner } from './AiStatusBanner';
|
||||
import { useCurrentUserAiStatus } from '@/hooks/use-ai-status';
|
||||
import { AI_FEATURES_UNAVAILABLE_EVENT } from '@/lib/api/client';
|
||||
|
||||
/** แสดง global banner เมื่อ AI ถูกปิดสำหรับผู้ใช้ที่มีสิทธิ์ AI */
|
||||
export function AiStatusBannerHost() {
|
||||
const [serviceUnavailable, setServiceUnavailable] = useState(false);
|
||||
const { data, isLoading } = useCurrentUserAiStatus();
|
||||
|
||||
useEffect(() => {
|
||||
const handleAiUnavailable = () => setServiceUnavailable(true);
|
||||
window.addEventListener(AI_FEATURES_UNAVAILABLE_EVENT, handleAiUnavailable);
|
||||
return () => window.removeEventListener(AI_FEATURES_UNAVAILABLE_EVENT, handleAiUnavailable);
|
||||
}, []);
|
||||
|
||||
if (isLoading || (data?.shouldShowBanner !== true && !serviceUnavailable)) return null;
|
||||
return (
|
||||
<div className="sticky top-0 z-40 border-b bg-background px-4 py-2">
|
||||
<AiStatusBanner aiEnabled={serviceUnavailable ? false : data?.aiFeaturesEnabled} />
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,59 @@
|
||||
// File: components/ai/ai-suggestion-button.tsx
|
||||
// Change Log
|
||||
// - 2026-05-21: เพิ่มปุ่ม AI Suggestion พร้อม soft fallback เมื่อ AI ถูกปิด.
|
||||
'use client';
|
||||
|
||||
import { Sparkles } from 'lucide-react';
|
||||
import { Button } from '@/components/ui/button';
|
||||
import { HoverCard, HoverCardContent, HoverCardTrigger } from '@/components/ui/hover-card';
|
||||
|
||||
const DEFAULT_DISABLED_MESSAGE = 'ระบบ AI ไม่พร้อมใช้งานชั่วคราว กรุณากรอกข้อมูลด้วยตนเอง';
|
||||
|
||||
interface AiSuggestionButtonProps {
|
||||
aiEnabled: boolean;
|
||||
isLoading?: boolean;
|
||||
label?: string;
|
||||
disabledMessage?: string;
|
||||
onClick?: () => void;
|
||||
}
|
||||
|
||||
/** ปุ่มเรียก AI suggestion ที่แสดง fallback ชัดเจนเมื่อระบบ AI ปิด */
|
||||
export function AiSuggestionButton({
|
||||
aiEnabled,
|
||||
isLoading = false,
|
||||
label = 'AI Suggestion',
|
||||
disabledMessage = DEFAULT_DISABLED_MESSAGE,
|
||||
onClick,
|
||||
}: AiSuggestionButtonProps) {
|
||||
const disabled = !aiEnabled || isLoading;
|
||||
const button = (
|
||||
<Button
|
||||
type="button"
|
||||
variant="outline"
|
||||
size="sm"
|
||||
disabled={disabled}
|
||||
aria-label={label}
|
||||
onClick={disabled ? undefined : onClick}
|
||||
className="gap-2"
|
||||
>
|
||||
<Sparkles className="h-4 w-4" />
|
||||
{label}
|
||||
</Button>
|
||||
);
|
||||
|
||||
if (aiEnabled) return button;
|
||||
|
||||
return (
|
||||
<HoverCard openDelay={100}>
|
||||
<HoverCardTrigger asChild>
|
||||
<span className="inline-flex cursor-not-allowed">
|
||||
{button}
|
||||
<span className="sr-only">{disabledMessage}</span>
|
||||
</span>
|
||||
</HoverCardTrigger>
|
||||
<HoverCardContent className="border-amber-200 bg-amber-50 text-amber-900">
|
||||
<p className="text-sm">{disabledMessage}</p>
|
||||
</HoverCardContent>
|
||||
</HoverCard>
|
||||
);
|
||||
}
|
||||
@@ -1,6 +1,8 @@
|
||||
import { describe, it, expect, vi, beforeEach } from 'vitest';
|
||||
import { render, screen, waitFor } from '@testing-library/react';
|
||||
import type { ReactElement } from 'react';
|
||||
import { CorrespondenceForm } from './form';
|
||||
import { createTestQueryClient } from '@/lib/test-utils';
|
||||
import {
|
||||
useProjects,
|
||||
useOrganizations,
|
||||
@@ -94,6 +96,11 @@ const editInitialData = {
|
||||
correspondenceNumber: 'CORR-001',
|
||||
};
|
||||
|
||||
const renderWithQueryClient = (ui: ReactElement) => {
|
||||
const { wrapper } = createTestQueryClient();
|
||||
return render(ui, { wrapper });
|
||||
};
|
||||
|
||||
describe('CorrespondenceForm (edit regression)', () => {
|
||||
beforeEach(() => {
|
||||
vi.clearAllMocks();
|
||||
@@ -140,7 +147,7 @@ describe('CorrespondenceForm (edit regression)', () => {
|
||||
});
|
||||
|
||||
it('keeps edit prefilled values after mount (no reset on initial render)', async () => {
|
||||
render(<CorrespondenceForm initialData={editInitialData} uuid="corr-uuid-1" />);
|
||||
renderWithQueryClient(<CorrespondenceForm initialData={editInitialData} uuid="corr-uuid-1" />);
|
||||
|
||||
expect(screen.getByLabelText('Subject *')).toHaveValue('Existing Subject');
|
||||
|
||||
@@ -156,7 +163,7 @@ describe('CorrespondenceForm (edit regression)', () => {
|
||||
});
|
||||
|
||||
it('keeps dependent fields intact after async effects (reset guard)', async () => {
|
||||
render(<CorrespondenceForm initialData={editInitialData} uuid="corr-uuid-2" />);
|
||||
renderWithQueryClient(<CorrespondenceForm initialData={editInitialData} uuid="corr-uuid-2" />);
|
||||
|
||||
expect(screen.getByLabelText('Subject *')).toHaveValue('Existing Subject');
|
||||
expect(screen.getByText('Current Document Number')).toBeInTheDocument();
|
||||
|
||||
@@ -14,12 +14,20 @@ import { useRouter } from 'next/navigation';
|
||||
import { Loader2 } from 'lucide-react';
|
||||
import { useCreateCorrespondence, useUpdateCorrespondence } from '@/hooks/use-correspondence';
|
||||
import { Organization } from '@/types/organization';
|
||||
import { useOrganizations, useProjects, useCorrespondenceTypes, useDisciplines, useContracts } from '@/hooks/use-master-data';
|
||||
import {
|
||||
useOrganizations,
|
||||
useProjects,
|
||||
useCorrespondenceTypes,
|
||||
useDisciplines,
|
||||
useContracts,
|
||||
} from '@/hooks/use-master-data';
|
||||
import { CreateCorrespondenceDto } from '@/types/dto/correspondence/create-correspondence.dto';
|
||||
import { useState, useEffect, useRef, useMemo } from 'react';
|
||||
import { numberingApi } from '@/lib/api/numbering';
|
||||
import { filesApi } from '@/lib/api/files';
|
||||
import { toast } from 'sonner';
|
||||
import { AiSuggestionButton } from '@/components/ai/ai-suggestion-button';
|
||||
import { useAiStatus } from '@/hooks/use-ai-status';
|
||||
|
||||
// Updated Zod Schema with all required fields
|
||||
const correspondenceSchema = z.object({
|
||||
@@ -155,6 +163,7 @@ export function CorrespondenceForm({
|
||||
const router = useRouter();
|
||||
const createMutation = useCreateCorrespondence();
|
||||
const updateMutation = useUpdateCorrespondence();
|
||||
const { data: aiStatus, isLoading: isAiStatusLoading } = useAiStatus();
|
||||
|
||||
// Fetch master data for dropdowns
|
||||
const { data: projectsData, isLoading: isLoadingProjects } = useProjects();
|
||||
@@ -170,7 +179,8 @@ export function CorrespondenceForm({
|
||||
? initialData?.revisions?.find((r) => normalizeUuid(r.publicId) === normalizedSelectedRevisionId)
|
||||
: undefined;
|
||||
const defaultValues = useMemo<Partial<FormData>>(() => {
|
||||
const currentRevision = selectedRevision || initialData?.revisions?.find((r) => r.isCurrent) || initialData?.revisions?.[0];
|
||||
const currentRevision =
|
||||
selectedRevision || initialData?.revisions?.find((r) => r.isCurrent) || initialData?.revisions?.[0];
|
||||
const initialToRecipient = initialData?.recipients?.find((r) => r.recipientType === 'TO');
|
||||
const initialCcRecipientIds =
|
||||
initialData?.recipients
|
||||
@@ -193,9 +203,15 @@ export function CorrespondenceForm({
|
||||
body: currentRevision?.body || '',
|
||||
remarks: currentRevision?.remarks || '',
|
||||
dueDate: currentRevision?.dueDate ? new Date(currentRevision.dueDate).toISOString().split('T')[0] : undefined,
|
||||
documentDate: currentRevision?.documentDate ? new Date(currentRevision.documentDate).toISOString().split('T')[0] : undefined,
|
||||
issuedDate: currentRevision?.issuedDate ? new Date(currentRevision.issuedDate).toISOString().split('T')[0] : undefined,
|
||||
receivedDate: currentRevision?.receivedDate ? new Date(currentRevision.receivedDate).toISOString().split('T')[0] : undefined,
|
||||
documentDate: currentRevision?.documentDate
|
||||
? new Date(currentRevision.documentDate).toISOString().split('T')[0]
|
||||
: undefined,
|
||||
issuedDate: currentRevision?.issuedDate
|
||||
? new Date(currentRevision.issuedDate).toISOString().split('T')[0]
|
||||
: undefined,
|
||||
receivedDate: currentRevision?.receivedDate
|
||||
? new Date(currentRevision.receivedDate).toISOString().split('T')[0]
|
||||
: undefined,
|
||||
fromOrganizationId:
|
||||
normalizePublicId(initialData?.originator?.publicId) ??
|
||||
normalizePublicId((initialData as Record<string, unknown>)?.originatorId as string),
|
||||
@@ -289,12 +305,15 @@ export function CorrespondenceForm({
|
||||
// Build recipients array with TO and CC
|
||||
const recipients = [
|
||||
{ organizationId: data.toOrganizationId, type: 'TO' as const },
|
||||
...(data.ccOrganizationIds?.map(orgId => ({ organizationId: orgId, type: 'CC' as const })) || [])
|
||||
...(data.ccOrganizationIds?.map((orgId) => ({ organizationId: orgId, type: 'CC' as const })) || []),
|
||||
];
|
||||
|
||||
// Phase 1: Upload attachments to temp storage
|
||||
let attachmentTempIds: string[] | undefined;
|
||||
const validFiles = (data.attachments || []).filter((f): f is File => f instanceof File && !('validationError' in f && (f as { validationError?: string }).validationError));
|
||||
const validFiles = (data.attachments || []).filter(
|
||||
(f): f is File =>
|
||||
f instanceof File && !('validationError' in f && (f as { validationError?: string }).validationError)
|
||||
);
|
||||
if (validFiles.length > 0) {
|
||||
setIsUploading(true);
|
||||
try {
|
||||
@@ -332,10 +351,7 @@ export function CorrespondenceForm({
|
||||
};
|
||||
|
||||
if (uuid && initialData) {
|
||||
updateMutation.mutate(
|
||||
{ uuid, data: payload },
|
||||
{ onSuccess: () => router.push(`/correspondences/${uuid}`) }
|
||||
);
|
||||
updateMutation.mutate({ uuid, data: payload }, { onSuccess: () => router.push(`/correspondences/${uuid}`) });
|
||||
} else {
|
||||
createMutation.mutate(payload, {
|
||||
onSuccess: () => router.push('/correspondences'),
|
||||
@@ -398,18 +414,10 @@ export function CorrespondenceForm({
|
||||
|
||||
{/* Preview Section - Only for New Documents */}
|
||||
{preview && !uuid && (
|
||||
<div
|
||||
className="p-4 rounded-md border bg-muted border-border"
|
||||
>
|
||||
<p className="text-sm font-semibold mb-1 flex items-center gap-2">
|
||||
Document Number Preview
|
||||
</p>
|
||||
<div className="p-4 rounded-md border bg-muted border-border">
|
||||
<p className="text-sm font-semibold mb-1 flex items-center gap-2">Document Number Preview</p>
|
||||
<div className="flex items-center gap-3">
|
||||
<span
|
||||
className="text-xl font-bold font-mono tracking-wide text-primary"
|
||||
>
|
||||
{preview.number}
|
||||
</span>
|
||||
<span className="text-xl font-bold font-mono tracking-wide text-primary">{preview.number}</span>
|
||||
{preview.isDefaultTemplate && (
|
||||
<span className="text-[10px] uppercase font-semibold px-2 py-0.5 rounded-full bg-yellow-100 text-yellow-800 border border-yellow-200">
|
||||
Default Template
|
||||
@@ -575,7 +583,7 @@ export function CorrespondenceForm({
|
||||
<Label>CC Organizations (Optional)</Label>
|
||||
<div className="space-y-2 max-h-32 overflow-y-auto border rounded-md p-3">
|
||||
{organizationOptions
|
||||
.filter(org => org.publicId !== toOrgId) // Exclude TO organization
|
||||
.filter((org) => org.publicId !== toOrgId) // Exclude TO organization
|
||||
.map((org) => (
|
||||
<div key={org.publicId} className="flex items-center space-x-2">
|
||||
<Checkbox
|
||||
@@ -586,7 +594,10 @@ export function CorrespondenceForm({
|
||||
if (checked) {
|
||||
setValue('ccOrganizationIds', [...currentCC, org.publicId]);
|
||||
} else {
|
||||
setValue('ccOrganizationIds', currentCC.filter(id => id !== org.publicId));
|
||||
setValue(
|
||||
'ccOrganizationIds',
|
||||
currentCC.filter((id) => id !== org.publicId)
|
||||
);
|
||||
}
|
||||
}}
|
||||
/>
|
||||
@@ -596,15 +607,20 @@ export function CorrespondenceForm({
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
<p className="text-xs text-muted-foreground">
|
||||
Select organizations to receive a copy of this correspondence
|
||||
</p>
|
||||
<p className="text-xs text-muted-foreground">Select organizations to receive a copy of this correspondence</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Subject */}
|
||||
<div className="space-y-2">
|
||||
<Label htmlFor="subject">Subject *</Label>
|
||||
<div className="flex items-center justify-between gap-3">
|
||||
<Label htmlFor="subject">Subject *</Label>
|
||||
<AiSuggestionButton
|
||||
aiEnabled={aiStatus?.aiFeaturesEnabled ?? true}
|
||||
isLoading={isAiStatusLoading}
|
||||
onClick={() => toast.info('AI Suggestion queued')}
|
||||
/>
|
||||
</div>
|
||||
<Input id="subject" {...register('subject')} placeholder="Enter subject" />
|
||||
{errors.subject && <p className="text-sm text-destructive">{errors.subject.message}</p>}
|
||||
</div>
|
||||
|
||||
@@ -21,6 +21,9 @@ import { CreateRfaDto } from '@/types/dto/rfa/rfa.dto';
|
||||
import { useState, useEffect, type FormEvent } from 'react';
|
||||
import { correspondenceService } from '@/lib/services/correspondence.service';
|
||||
import { Contract } from '@/types/contract';
|
||||
import { AiSuggestionButton } from '@/components/ai/ai-suggestion-button';
|
||||
import { useAiStatus } from '@/hooks/use-ai-status';
|
||||
import { toast } from 'sonner';
|
||||
|
||||
const rfaSchema = z.object({
|
||||
projectId: z.string().min(1, 'Project is required'), // ADR-019: UUID
|
||||
@@ -145,6 +148,7 @@ const getMasterOptionValue = (option: { publicId?: string; id?: number }): strin
|
||||
export function RFAForm() {
|
||||
const router = useRouter();
|
||||
const createMutation = useCreateRFA();
|
||||
const { data: aiStatus, isLoading: isAiStatusLoading } = useAiStatus();
|
||||
|
||||
const { data: projectsData, isLoading: isLoadingProjects } = useProjects();
|
||||
const projects = dedupeByKey(extractArrayData<ProjectOption>(projectsData), (project) => project.publicId);
|
||||
@@ -192,12 +196,13 @@ export function RFAForm() {
|
||||
|
||||
const selectedContractId = watch('contractId');
|
||||
const { data: disciplinesData, isLoading: isLoadingDisciplines } = useDisciplines(selectedContractId);
|
||||
const disciplines = dedupeByKey(
|
||||
extractArrayData<DisciplineOption>(disciplinesData),
|
||||
(discipline) => getMasterOptionValue(discipline)
|
||||
const disciplines = dedupeByKey(extractArrayData<DisciplineOption>(disciplinesData), (discipline) =>
|
||||
getMasterOptionValue(discipline)
|
||||
);
|
||||
const { data: rfaTypesData, isLoading: isLoadingRfaTypes } = useRfaTypes(selectedContractId);
|
||||
const rfaTypes = dedupeByKey(extractArrayData<RfaTypeOption>(rfaTypesData), (rfaType) => getMasterOptionValue(rfaType));
|
||||
const rfaTypes = dedupeByKey(extractArrayData<RfaTypeOption>(rfaTypesData), (rfaType) =>
|
||||
getMasterOptionValue(rfaType)
|
||||
);
|
||||
const [shopDrawingSearch, setShopDrawingSearch] = useState('');
|
||||
const [shopDrawingPage, setShopDrawingPage] = useState(1);
|
||||
const { data: shopDrawingsData, isLoading: isLoadingShopDrawings } = useDrawings('SHOP', {
|
||||
@@ -286,7 +291,15 @@ export function RFAForm() {
|
||||
|
||||
const timer = setTimeout(fetchPreview, 500);
|
||||
return () => clearTimeout(timer);
|
||||
}, [rfaTypeId, disciplineId, toOrganizationId, selectedProjectId, rfaCorrespondenceType?.publicId, rfaCorrespondenceType?.id, watch]);
|
||||
}, [
|
||||
rfaTypeId,
|
||||
disciplineId,
|
||||
toOrganizationId,
|
||||
selectedProjectId,
|
||||
rfaCorrespondenceType?.publicId,
|
||||
rfaCorrespondenceType?.id,
|
||||
watch,
|
||||
]);
|
||||
|
||||
const onSubmit = (data: RFAFormData) => {
|
||||
if (requiresShopDrawings && data.shopDrawingRevisionIds?.length === 0) {
|
||||
@@ -346,7 +359,7 @@ export function RFAForm() {
|
||||
<h3 className="text-lg font-semibold mb-4">RFA Information</h3>
|
||||
|
||||
<div className="space-y-4">
|
||||
<div>
|
||||
<div>
|
||||
<Label>Project *</Label>
|
||||
<Select
|
||||
value={selectedProjectId || undefined}
|
||||
@@ -429,7 +442,7 @@ export function RFAForm() {
|
||||
<SelectValue placeholder={isLoadingDisciplines ? 'Loading...' : 'Select Discipline'} />
|
||||
</SelectTrigger>
|
||||
<SelectContent>
|
||||
{disciplines.map((d) => (
|
||||
{disciplines.map((d) =>
|
||||
(() => {
|
||||
const disciplineValue = getMasterOptionValue(d);
|
||||
|
||||
@@ -443,7 +456,7 @@ export function RFAForm() {
|
||||
</SelectItem>
|
||||
);
|
||||
})()
|
||||
))}
|
||||
)}
|
||||
{!isLoadingDisciplines && disciplines.length === 0 && (
|
||||
<SelectItem value="0" disabled>
|
||||
No disciplines found
|
||||
@@ -521,7 +534,14 @@ export function RFAForm() {
|
||||
</div>
|
||||
</div>
|
||||
<div>
|
||||
<Label htmlFor="subject">Subject *</Label>
|
||||
<div className="flex items-center justify-between gap-3">
|
||||
<Label htmlFor="subject">Subject *</Label>
|
||||
<AiSuggestionButton
|
||||
aiEnabled={aiStatus?.aiFeaturesEnabled ?? true}
|
||||
isLoading={isAiStatusLoading}
|
||||
onClick={() => toast.info('AI Suggestion queued')}
|
||||
/>
|
||||
</div>
|
||||
<Input id="subject" {...register('subject')} placeholder="Enter subject" />
|
||||
{errors.subject && <p className="text-sm text-destructive mt-1">{errors.subject.message}</p>}
|
||||
</div>
|
||||
@@ -540,8 +560,6 @@ export function RFAForm() {
|
||||
<Label htmlFor="description">Description</Label>
|
||||
<Input id="description" {...register('description')} placeholder="Enter key description" />
|
||||
</div>
|
||||
|
||||
|
||||
</div>
|
||||
</Card>
|
||||
|
||||
|
||||
@@ -0,0 +1,89 @@
|
||||
// File: hooks/use-ai-status.ts
|
||||
// Change Log
|
||||
// - 2026-05-21: เพิ่ม TanStack Query hook สำหรับ polling สถานะ AI features.
|
||||
// - 2026-05-21: เพิ่ม `useAiHealth` hook สำหรับ polling ข้อมูลสุขภาพของระบบ AI (T031).
|
||||
|
||||
import { useMutation, useQuery, useQueryClient } from '@tanstack/react-query';
|
||||
import apiClient from '@/lib/api/client';
|
||||
import { adminAiService } from '@/lib/services/admin-ai.service';
|
||||
import { useAuthStore } from '@/lib/stores/auth-store';
|
||||
|
||||
export const AI_STATUS_QUERY_KEY = ['ai', 'admin-settings'] as const;
|
||||
export const AI_HEALTH_QUERY_KEY = ['ai', 'admin-health'] as const;
|
||||
const AI_PERMISSION_QUERY_KEY = ['users', 'me', 'ai-permissions'] as const;
|
||||
const AI_PERMISSIONS = ['ai.suggest', 'ai.rag_query', 'rag.query', 'ai.extract'];
|
||||
|
||||
const extractArrayData = <T>(value: unknown): T[] => {
|
||||
let current: unknown = value;
|
||||
for (let i = 0; i < 5; i += 1) {
|
||||
if (Array.isArray(current)) return current as T[];
|
||||
if (!current || typeof current !== 'object' || !('data' in current)) {
|
||||
return [];
|
||||
}
|
||||
current = (current as { data?: unknown }).data;
|
||||
}
|
||||
return Array.isArray(current) ? (current as T[]) : [];
|
||||
};
|
||||
|
||||
/** Poll สถานะเปิด/ปิด AI features สำหรับ admin console และ soft fallback */
|
||||
export function useAiStatus(enabled = true) {
|
||||
return useQuery({
|
||||
queryKey: AI_STATUS_QUERY_KEY,
|
||||
queryFn: adminAiService.getStatus,
|
||||
enabled,
|
||||
refetchInterval: enabled ? 30_000 : false,
|
||||
staleTime: 5_000,
|
||||
});
|
||||
}
|
||||
|
||||
/** Poll สถานะ AI เฉพาะผู้ใช้ปัจจุบันที่มี AI permissions */
|
||||
export function useCurrentUserAiStatus() {
|
||||
const isAuthenticated = useAuthStore((state) => state.isAuthenticated);
|
||||
const storedPermissions = useAuthStore((state) => state.user?.permissions);
|
||||
const permissionQuery = useQuery({
|
||||
queryKey: AI_PERMISSION_QUERY_KEY,
|
||||
queryFn: async () => {
|
||||
const response = await apiClient.get<unknown>('/users/me/permissions');
|
||||
return extractArrayData<string>(response.data);
|
||||
},
|
||||
enabled: isAuthenticated && !storedPermissions,
|
||||
staleTime: 5 * 60_000,
|
||||
});
|
||||
const permissions = storedPermissions ?? permissionQuery.data ?? [];
|
||||
const hasAiPermission = permissions.some((permission) => AI_PERMISSIONS.includes(permission));
|
||||
const statusQuery = useAiStatus(isAuthenticated && hasAiPermission);
|
||||
return {
|
||||
...statusQuery,
|
||||
isLoading: permissionQuery.isLoading || statusQuery.isLoading,
|
||||
data: statusQuery.data
|
||||
? {
|
||||
...statusQuery.data,
|
||||
hasAiPermission,
|
||||
shouldShowBanner: hasAiPermission && statusQuery.data.aiFeaturesEnabled === false,
|
||||
}
|
||||
: undefined,
|
||||
};
|
||||
}
|
||||
|
||||
/** Mutation สำหรับ Superadmin เปิด/ปิด AI features */
|
||||
export function useToggleAiFeatures() {
|
||||
const queryClient = useQueryClient();
|
||||
return useMutation({
|
||||
mutationFn: (enabled: boolean) => adminAiService.toggleFeatures(enabled),
|
||||
onSuccess: (settings) => {
|
||||
queryClient.setQueryData(AI_STATUS_QUERY_KEY, settings);
|
||||
queryClient.invalidateQueries({ queryKey: AI_STATUS_QUERY_KEY });
|
||||
},
|
||||
});
|
||||
}
|
||||
|
||||
/** Hook สำหรับดึงสถานะสุขภาพและความเร็วของระบบ AI (Ollama, Qdrant, queues) */
|
||||
export function useAiHealth(enabled = true) {
|
||||
return useQuery({
|
||||
queryKey: AI_HEALTH_QUERY_KEY,
|
||||
queryFn: adminAiService.getHealth,
|
||||
enabled,
|
||||
refetchInterval: enabled ? 30_000 : false,
|
||||
staleTime: 5_000,
|
||||
});
|
||||
}
|
||||
@@ -107,13 +107,21 @@ export interface ApiErrorResponse {
|
||||
error: ApiErrorPayload;
|
||||
}
|
||||
|
||||
export const AI_FEATURES_UNAVAILABLE_EVENT = 'ai-features-unavailable';
|
||||
|
||||
// แปลง Axios error เป็น Structured Error Response (ADR-007)
|
||||
export function parseApiError(axiosError: AxiosError): ApiErrorResponse {
|
||||
if (axiosError.response?.data) {
|
||||
const data = axiosError.response.data;
|
||||
// กรณีที่ backend ส่ง { error: { ... } } ตาม ADR-007
|
||||
if (typeof data === 'object' && data !== null && 'error' in data) {
|
||||
return data as ApiErrorResponse;
|
||||
const parsed = data as ApiErrorResponse;
|
||||
return {
|
||||
error: {
|
||||
...parsed.error,
|
||||
statusCode: axiosError.response.status,
|
||||
},
|
||||
};
|
||||
}
|
||||
// กรณี NestJS validation error { message: [...], statusCode: 400 }
|
||||
if (typeof data === 'object' && data !== null && 'message' in data) {
|
||||
@@ -181,6 +189,17 @@ apiClient.interceptors.response.use(
|
||||
}
|
||||
// แปลง error เป็น structured format ตาม ADR-007 ก่อน reject
|
||||
const structuredError = parseApiError(error);
|
||||
if (
|
||||
structuredError.error.statusCode === 503 &&
|
||||
structuredError.error.code === 'AI_FEATURES_UNAVAILABLE' &&
|
||||
typeof window !== 'undefined'
|
||||
) {
|
||||
window.dispatchEvent(
|
||||
new CustomEvent(AI_FEATURES_UNAVAILABLE_EVENT, {
|
||||
detail: structuredError.error,
|
||||
})
|
||||
);
|
||||
}
|
||||
return Promise.reject(structuredError);
|
||||
}
|
||||
);
|
||||
|
||||
@@ -0,0 +1,113 @@
|
||||
// File: lib/services/admin-ai.service.ts
|
||||
// Change Log
|
||||
// - 2026-05-21: เพิ่ม service สำหรับ AI Admin Console toggle API.
|
||||
// - 2026-05-21: เพิ่ม service method `getHealth` สำหรับดึงข้อมูลสุขภาพของระบบ AI (T028).
|
||||
// - 2026-05-21: เพิ่ม API service สำหรับ Superadmin Sandbox RAG (T037).
|
||||
// - 2026-05-21: เพิ่ม service method `submitSandboxExtract` สำหรับอัปโหลดไฟล์ใน OCR Sandbox (T043).
|
||||
|
||||
import api from '../api/client';
|
||||
|
||||
export interface AiAdminSettings {
|
||||
aiFeaturesEnabled: boolean;
|
||||
}
|
||||
|
||||
export interface QueueMetrics {
|
||||
active?: number;
|
||||
waiting?: number;
|
||||
failed?: number;
|
||||
completed?: number;
|
||||
isPaused?: boolean;
|
||||
error?: string;
|
||||
}
|
||||
|
||||
export interface AiSystemHealth {
|
||||
ollama: {
|
||||
status: 'HEALTHY' | 'DEGRADED' | 'DOWN';
|
||||
latencyMs: number;
|
||||
models: string[];
|
||||
error?: string;
|
||||
};
|
||||
qdrant: {
|
||||
status: 'HEALTHY' | 'DEGRADED' | 'DOWN';
|
||||
latencyMs: number;
|
||||
collections?: string[];
|
||||
error?: string;
|
||||
};
|
||||
queues: {
|
||||
realtime: QueueMetrics;
|
||||
batch: QueueMetrics;
|
||||
};
|
||||
timestamp: string;
|
||||
}
|
||||
|
||||
export interface AiRagCitation {
|
||||
pointId: string | number;
|
||||
score: number;
|
||||
docType?: string;
|
||||
docNumber?: string;
|
||||
snippet?: string;
|
||||
}
|
||||
|
||||
export interface AiSandboxJobResult {
|
||||
requestPublicId: string;
|
||||
status: 'pending' | 'processing' | 'completed' | 'failed' | 'cancelled' | 'not_found';
|
||||
answer?: string;
|
||||
citations?: AiRagCitation[];
|
||||
confidence?: number;
|
||||
usedFallbackModel?: boolean;
|
||||
errorMessage?: string;
|
||||
completedAt?: string;
|
||||
}
|
||||
|
||||
const extractData = <T>(value: unknown): T => {
|
||||
if (value && typeof value === 'object' && 'data' in value) {
|
||||
return (value as { data: T }).data;
|
||||
}
|
||||
return value as T;
|
||||
};
|
||||
|
||||
/** Service สำหรับเรียก AI Admin Console API ผ่าน DMS Backend เท่านั้น */
|
||||
export const adminAiService = {
|
||||
getStatus: async (): Promise<AiAdminSettings> => {
|
||||
const { data } = await api.get('/ai/status');
|
||||
return extractData<AiAdminSettings>(data);
|
||||
},
|
||||
getSettings: async (): Promise<AiAdminSettings> => {
|
||||
const { data } = await api.get('/ai/admin/settings');
|
||||
return extractData<AiAdminSettings>(data);
|
||||
},
|
||||
toggleFeatures: async (enabled: boolean): Promise<AiAdminSettings> => {
|
||||
const { data } = await api.post('/ai/admin/toggle', { enabled });
|
||||
return extractData<AiAdminSettings>(data);
|
||||
},
|
||||
getHealth: async (): Promise<AiSystemHealth> => {
|
||||
const { data } = await api.get('/ai/admin/health');
|
||||
return extractData<AiSystemHealth>(data);
|
||||
},
|
||||
submitSandboxRag: async (
|
||||
projectPublicId: string,
|
||||
question: string
|
||||
): Promise<{ requestPublicId: string; jobId: string; status: string }> => {
|
||||
const { data } = await api.post('/ai/admin/sandbox/rag', {
|
||||
projectPublicId,
|
||||
question,
|
||||
});
|
||||
return extractData<{ requestPublicId: string; jobId: string; status: string }>(data);
|
||||
},
|
||||
getSandboxJobStatus: async (id: string): Promise<AiSandboxJobResult> => {
|
||||
const { data } = await api.get(`/ai/admin/sandbox/job/${id}`);
|
||||
return extractData<AiSandboxJobResult>(data);
|
||||
},
|
||||
submitSandboxExtract: async (
|
||||
file: File
|
||||
): Promise<{ requestPublicId: string; jobId: string; status: string }> => {
|
||||
const formData = new FormData();
|
||||
formData.append('file', file);
|
||||
const { data } = await api.post('/ai/admin/sandbox/extract', formData, {
|
||||
headers: {
|
||||
'Content-Type': 'multipart/form-data',
|
||||
},
|
||||
});
|
||||
return extractData<{ requestPublicId: string; jobId: string; status: string }>(data);
|
||||
},
|
||||
};
|
||||
@@ -41,6 +41,7 @@
|
||||
|
||||
"ai.status.offlineTitle": "AI unavailable",
|
||||
"ai.status.offlineDescription": "AI staging is temporarily unavailable. Manual document operations remain available.",
|
||||
"ai.status.disabledDescription": "AI is temporarily unavailable. Please enter the information manually.",
|
||||
"ai.status.onlineTitle": "AI staging available",
|
||||
"ai.status.onlineDescription": "Legacy migration review queue is connected.",
|
||||
"ai.staging.title": "AI Staging Queue",
|
||||
|
||||
@@ -41,6 +41,7 @@
|
||||
|
||||
"ai.status.offlineTitle": "ระบบ AI ไม่พร้อมใช้งาน",
|
||||
"ai.status.offlineDescription": "ไม่สามารถเชื่อมต่อ staging queue ของ AI ได้ชั่วคราว แต่ยังทำงานเอกสารแบบ manual ได้ตามปกติ",
|
||||
"ai.status.disabledDescription": "ระบบ AI ไม่พร้อมใช้งานชั่วคราว กรุณากรอกข้อมูลด้วยตนเอง",
|
||||
"ai.status.onlineTitle": "ระบบ AI พร้อมใช้งาน",
|
||||
"ai.status.onlineDescription": "เชื่อมต่อคิวตรวจสอบข้อมูลเอกสารเก่าเรียบร้อยแล้ว",
|
||||
"ai.staging.title": "คิวตรวจสอบ AI",
|
||||
|
||||
Reference in New Issue
Block a user