ERP-node/frontend/components/admin/dashboard/QueryEditor.tsx

493 lines
18 KiB
TypeScript

"use client";
import React, { useState, useCallback } from "react";
import { ChartDataSource, QueryResult } from "./types";
import { ExternalDbConnectionAPI } from "@/lib/api/externalDbConnection";
import { dashboardApi } from "@/lib/api/dashboard";
import { Button } from "@/components/ui/button";
import { Textarea } from "@/components/ui/textarea";
import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from "@/components/ui/select";
import { Label } from "@/components/ui/label";
import { Card } from "@/components/ui/card";
import { Badge } from "@/components/ui/badge";
import { Alert, AlertDescription } from "@/components/ui/alert";
import { Table, TableBody, TableCell, TableHead, TableHeader, TableRow } from "@/components/ui/table";
import { Play, Loader2, Database, Code } from "lucide-react";
interface QueryEditorProps {
dataSource?: ChartDataSource;
onDataSourceChange: (dataSource: ChartDataSource) => void;
onQueryTest?: (result: QueryResult) => void;
}
/**
* SQL 쿼리 에디터 컴포넌트
* - SQL 쿼리 작성 및 편집
* - 쿼리 실행 및 결과 미리보기
* - 현재 DB / 외부 DB 분기 처리
*/
export function QueryEditor({ dataSource, onDataSourceChange, onQueryTest }: QueryEditorProps) {
const [query, setQuery] = useState(dataSource?.query || "");
const [isExecuting, setIsExecuting] = useState(false);
const [queryResult, setQueryResult] = useState<QueryResult | null>(null);
const [error, setError] = useState<string | null>(null);
// 쿼리 실행
const executeQuery = useCallback(async () => {
console.log("🚀 executeQuery 호출됨!");
console.log("📝 현재 쿼리:", query);
console.log("✅ query.trim():", query.trim());
if (!query.trim()) {
setError("쿼리를 입력해주세요.");
return;
}
// 외부 DB인 경우 커넥션 ID 확인
if (dataSource?.connectionType === "external" && !dataSource?.externalConnectionId) {
setError("외부 DB 커넥션을 선택해주세요.");
console.log("❌ 쿼리가 비어있음!");
return;
}
setIsExecuting(true);
setError(null);
console.log("🔄 쿼리 실행 시작...");
try {
let apiResult: { columns: string[]; rows: any[]; rowCount: number };
// 현재 DB vs 외부 DB 분기
if (dataSource?.connectionType === "external" && dataSource?.externalConnectionId) {
// 외부 DB 쿼리 실행
const result = await ExternalDbConnectionAPI.executeQuery(
parseInt(dataSource.externalConnectionId),
query.trim(),
);
if (!result.success) {
throw new Error(result.message || "외부 DB 쿼리 실행에 실패했습니다.");
}
// ExternalDbConnectionAPI의 응답을 통일된 형식으로 변환
apiResult = {
columns: result.data?.[0] ? Object.keys(result.data[0]) : [],
rows: result.data || [],
rowCount: result.data?.length || 0,
};
} else {
// 현재 DB 쿼리 실행
apiResult = await dashboardApi.executeQuery(query.trim());
}
// 결과를 QueryResult 형식으로 변환
const result: QueryResult = {
columns: apiResult.columns,
rows: apiResult.rows,
totalRows: apiResult.rowCount,
executionTime: 0,
};
setQueryResult(result);
onQueryTest?.(result);
// 데이터 소스 업데이트
onDataSourceChange({
...dataSource,
type: "database",
query: query.trim(),
refreshInterval: dataSource?.refreshInterval ?? 0,
lastExecuted: new Date().toISOString(),
});
} catch (err) {
const errorMessage = err instanceof Error ? err.message : "쿼리 실행 중 오류가 발생했습니다.";
setError(errorMessage);
} finally {
setIsExecuting(false);
}
}, [query, dataSource, onDataSourceChange, onQueryTest]);
// 샘플 쿼리 삽입
const insertSampleQuery = useCallback((sampleType: string) => {
const samples = {
comparison: `-- 제품별 월별 매출 비교 (다중 시리즈)
-- 갤럭시(Galaxy) vs 아이폰(iPhone) 매출 비교
SELECT
DATE_TRUNC('month', order_date) as month,
SUM(CASE WHEN product_category = '갤럭시' THEN amount ELSE 0 END) as galaxy_sales,
SUM(CASE WHEN product_category = '아이폰' THEN amount ELSE 0 END) as iphone_sales,
SUM(CASE WHEN product_category = '기타' THEN amount ELSE 0 END) as other_sales
FROM orders
WHERE order_date >= CURRENT_DATE - INTERVAL '12 months'
GROUP BY DATE_TRUNC('month', order_date)
ORDER BY month;`,
sales: `-- 월별 매출 데이터
SELECT
DATE_TRUNC('month', order_date) as month,
SUM(total_amount) as sales,
COUNT(*) as order_count
FROM orders
WHERE order_date >= CURRENT_DATE - INTERVAL '12 months'
GROUP BY DATE_TRUNC('month', order_date)
ORDER BY month;`,
users: `-- 사용자 가입 추이
SELECT
DATE_TRUNC('week', created_at) as week,
COUNT(*) as new_users
FROM users
WHERE created_at >= CURRENT_DATE - INTERVAL '3 months'
GROUP BY DATE_TRUNC('week', created_at)
ORDER BY week;`,
products: `-- 상품별 판매량
SELECT
product_name,
SUM(quantity) as total_sold,
SUM(quantity * price) as revenue
FROM order_items oi
JOIN products p ON oi.product_id = p.id
WHERE oi.created_at >= CURRENT_DATE - INTERVAL '1 month'
GROUP BY product_name
ORDER BY total_sold DESC
LIMIT 10;`,
regional: `-- 지역별 매출 비교
SELECT
region as 지역,
SUM(CASE WHEN quarter = 'Q1' THEN sales ELSE 0 END) as Q1,
SUM(CASE WHEN quarter = 'Q2' THEN sales ELSE 0 END) as Q2,
SUM(CASE WHEN quarter = 'Q3' THEN sales ELSE 0 END) as Q3,
SUM(CASE WHEN quarter = 'Q4' THEN sales ELSE 0 END) as Q4
FROM regional_sales
WHERE year = EXTRACT(YEAR FROM CURRENT_DATE)
GROUP BY region
ORDER BY Q4 DESC;`,
};
setQuery(samples[sampleType as keyof typeof samples] || "");
}, []);
return (
<div className="space-y-6">
{/* 쿼리 에디터 헤더 */}
<div className="flex items-center justify-between">
<div className="flex items-center gap-2">
<Database className="h-5 w-5 text-blue-600" />
<h4 className="text-lg font-semibold text-gray-800">SQL </h4>
</div>
<Button onClick={executeQuery} disabled={isExecuting || !query.trim()} size="sm">
{isExecuting ? (
<>
<Loader2 className="mr-2 h-4 w-4 animate-spin" />
...
</>
) : (
<>
<Play className="mr-2 h-4 w-4" />
</>
)}
</Button>
</div>
{/* 샘플 쿼리 버튼들 */}
<Card className="p-4">
<div className="flex flex-wrap items-center gap-2">
<Label className="text-sm text-gray-600"> :</Label>
<Button variant="outline" size="sm" onClick={() => insertSampleQuery("comparison")}>
<Code className="mr-2 h-3 w-3" />
</Button>
<Button variant="outline" size="sm" onClick={() => insertSampleQuery("regional")}>
<Code className="mr-2 h-3 w-3" />
</Button>
<Button variant="outline" size="sm" onClick={() => insertSampleQuery("sales")}>
</Button>
<Button variant="outline" size="sm" onClick={() => insertSampleQuery("users")}>
</Button>
<Button variant="outline" size="sm" onClick={() => insertSampleQuery("products")}>
</Button>
</div>
</Card>
{/* SQL 쿼리 입력 영역 */}
<div className="space-y-2">
<Label>SQL </Label>
<div className="relative">
<Textarea
value={query}
onChange={(e) => setQuery(e.target.value)}
placeholder="SELECT * FROM your_table WHERE condition = 'value';"
className="h-40 resize-none font-mono text-sm"
/>
</div>
</div>
{/* 새로고침 간격 설정 */}
<div className="flex items-center gap-3">
<Label className="text-sm"> :</Label>
<Select
value={String(dataSource?.refreshInterval ?? 0)}
onValueChange={(value) =>
onDataSourceChange({
...dataSource,
type: "database",
query,
refreshInterval: parseInt(value),
})
}
>
<SelectTrigger className="w-32">
<SelectValue />
</SelectTrigger>
<SelectContent>
<SelectItem value="0"></SelectItem>
<SelectItem value="10000">10</SelectItem>
<SelectItem value="30000">30</SelectItem>
<SelectItem value="60000">1</SelectItem>
<SelectItem value="300000">5</SelectItem>
<SelectItem value="600000">10</SelectItem>
</SelectContent>
</Select>
</div>
{/* 오류 메시지 */}
{error && (
<Alert variant="destructive">
<AlertDescription>
<div className="text-sm font-medium"></div>
<div className="mt-1 text-sm">{error}</div>
</AlertDescription>
</Alert>
)}
{/* 쿼리 결과 미리보기 */}
{queryResult && (
<Card>
<div className="border-b border-gray-200 bg-gray-50 px-4 py-3">
<div className="flex items-center justify-between">
<div className="flex items-center gap-2">
<span className="text-sm font-medium text-gray-700"> </span>
<Badge variant="secondary">{queryResult.rows.length}</Badge>
</div>
<span className="text-xs text-gray-500"> : {queryResult.executionTime}ms</span>
</div>
</div>
<div className="p-3">
{queryResult.rows.length > 0 ? (
<div className="max-h-60 overflow-auto">
<Table>
<TableHeader>
<TableRow>
{queryResult.columns.map((col, idx) => (
<TableHead key={idx}>{col}</TableHead>
))}
</TableRow>
</TableHeader>
<TableBody>
{queryResult.rows.slice(0, 10).map((row, idx) => (
<TableRow key={idx}>
{queryResult.columns.map((col, colIdx) => (
<TableCell key={colIdx}>{String(row[col] ?? "")}</TableCell>
))}
</TableRow>
))}
</TableBody>
</Table>
{queryResult.rows.length > 10 && (
<div className="mt-3 text-center text-xs text-gray-500">
... {queryResult.rows.length - 10} ( 10 )
</div>
)}
</div>
) : (
<div className="py-8 text-center text-gray-500"> .</div>
)}
</div>
</Card>
)}
{/* 키보드 단축키 안내 */}
<Card className="p-3">
<div className="text-xs text-gray-600">
<strong>:</strong> Ctrl+Enter ( ), Ctrl+/ ( )
</div>
</Card>
</div>
);
}
/**
* 샘플 쿼리 결과 생성 함수
*/
function generateSampleQueryResult(query: string): QueryResult {
// 쿼리에서 키워드 추출하여 적절한 샘플 데이터 생성
const queryLower = query.toLowerCase();
// 디버깅용 로그
// console.log('generateSampleQueryResult called with query:', query.substring(0, 100));
// 가장 구체적인 조건부터 먼저 체크 (순서 중요!)
const isComparison =
queryLower.includes("galaxy") ||
queryLower.includes("갤럭시") ||
queryLower.includes("아이폰") ||
queryLower.includes("iphone");
const isRegional = queryLower.includes("region") || queryLower.includes("지역");
const isMonthly = queryLower.includes("month");
const isSales = queryLower.includes("sales") || queryLower.includes("매출");
const isUsers = queryLower.includes("users") || queryLower.includes("사용자");
const isProducts = queryLower.includes("product") || queryLower.includes("상품");
const isWeekly = queryLower.includes("week");
// console.log('Sample data type detection:', {
// isComparison,
// isRegional,
// isWeekly,
// isProducts,
// isMonthly,
// isSales,
// isUsers,
// querySnippet: query.substring(0, 200)
// });
let columns: string[];
let rows: Record<string, any>[];
// 더 구체적인 조건부터 먼저 체크 (순서 중요!)
if (isComparison) {
// console.log('✅ Using COMPARISON data');
// 제품 비교 데이터 (다중 시리즈)
columns = ["month", "galaxy_sales", "iphone_sales", "other_sales"];
rows = [
{ month: "2024-01", galaxy_sales: 450000, iphone_sales: 620000, other_sales: 130000 },
{ month: "2024-02", galaxy_sales: 520000, iphone_sales: 680000, other_sales: 150000 },
{ month: "2024-03", galaxy_sales: 480000, iphone_sales: 590000, other_sales: 110000 },
{ month: "2024-04", galaxy_sales: 610000, iphone_sales: 650000, other_sales: 160000 },
{ month: "2024-05", galaxy_sales: 720000, iphone_sales: 780000, other_sales: 180000 },
{ month: "2024-06", galaxy_sales: 680000, iphone_sales: 690000, other_sales: 170000 },
{ month: "2024-07", galaxy_sales: 750000, iphone_sales: 800000, other_sales: 170000 },
{ month: "2024-08", galaxy_sales: 690000, iphone_sales: 720000, other_sales: 170000 },
{ month: "2024-09", galaxy_sales: 730000, iphone_sales: 750000, other_sales: 170000 },
{ month: "2024-10", galaxy_sales: 800000, iphone_sales: 810000, other_sales: 170000 },
{ month: "2024-11", galaxy_sales: 870000, iphone_sales: 880000, other_sales: 170000 },
{ month: "2024-12", galaxy_sales: 950000, iphone_sales: 990000, other_sales: 160000 },
];
// COMPARISON 데이터를 반환하고 함수 종료
// console.log('COMPARISON data generated:', {
// columns,
// rowCount: rows.length,
// sampleRow: rows[0],
// allRows: rows,
// fieldTypes: {
// month: typeof rows[0].month,
// galaxy_sales: typeof rows[0].galaxy_sales,
// iphone_sales: typeof rows[0].iphone_sales,
// other_sales: typeof rows[0].other_sales
// },
// firstFewRows: rows.slice(0, 3),
// lastFewRows: rows.slice(-3)
// });
return {
columns,
rows,
totalRows: rows.length,
executionTime: Math.floor(Math.random() * 200) + 100,
};
} else if (isRegional) {
// console.log('✅ Using REGIONAL data');
// 지역별 분기별 매출
columns = ["지역", "Q1", "Q2", "Q3", "Q4"];
rows = [
{ : "서울", Q1: 1200000, Q2: 1350000, Q3: 1420000, Q4: 1580000 },
{ : "경기", Q1: 980000, Q2: 1120000, Q3: 1180000, Q4: 1290000 },
{ : "부산", Q1: 650000, Q2: 720000, Q3: 780000, Q4: 850000 },
{ : "대구", Q1: 450000, Q2: 490000, Q3: 520000, Q4: 580000 },
{ : "인천", Q1: 520000, Q2: 580000, Q3: 620000, Q4: 690000 },
{ : "광주", Q1: 380000, Q2: 420000, Q3: 450000, Q4: 490000 },
{ : "대전", Q1: 410000, Q2: 460000, Q3: 490000, Q4: 530000 },
];
} else if (isWeekly && isUsers) {
// console.log('✅ Using USERS data');
// 사용자 가입 추이
columns = ["week", "new_users"];
rows = [
{ week: "2024-W10", new_users: 23 },
{ week: "2024-W11", new_users: 31 },
{ week: "2024-W12", new_users: 28 },
{ week: "2024-W13", new_users: 35 },
{ week: "2024-W14", new_users: 42 },
{ week: "2024-W15", new_users: 38 },
{ week: "2024-W16", new_users: 45 },
{ week: "2024-W17", new_users: 52 },
{ week: "2024-W18", new_users: 48 },
{ week: "2024-W19", new_users: 55 },
{ week: "2024-W20", new_users: 61 },
{ week: "2024-W21", new_users: 58 },
];
} else if (isProducts && !isComparison) {
// console.log('✅ Using PRODUCTS data');
// 상품별 판매량
columns = ["product_name", "total_sold", "revenue"];
rows = [
{ product_name: "스마트폰", total_sold: 156, revenue: 234000000 },
{ product_name: "노트북", total_sold: 89, revenue: 178000000 },
{ product_name: "태블릿", total_sold: 134, revenue: 67000000 },
{ product_name: "이어폰", total_sold: 267, revenue: 26700000 },
{ product_name: "스마트워치", total_sold: 98, revenue: 49000000 },
{ product_name: "키보드", total_sold: 78, revenue: 15600000 },
{ product_name: "마우스", total_sold: 145, revenue: 8700000 },
{ product_name: "모니터", total_sold: 67, revenue: 134000000 },
{ product_name: "프린터", total_sold: 34, revenue: 17000000 },
{ product_name: "웹캠", total_sold: 89, revenue: 8900000 },
];
} else if (isMonthly && isSales && !isComparison) {
// console.log('✅ Using MONTHLY SALES data');
// 월별 매출 데이터
columns = ["month", "sales", "order_count"];
rows = [
{ month: "2024-01", sales: 1200000, order_count: 45 },
{ month: "2024-02", sales: 1350000, order_count: 52 },
{ month: "2024-03", sales: 1180000, order_count: 41 },
{ month: "2024-04", sales: 1420000, order_count: 58 },
{ month: "2024-05", sales: 1680000, order_count: 67 },
{ month: "2024-06", sales: 1540000, order_count: 61 },
{ month: "2024-07", sales: 1720000, order_count: 71 },
{ month: "2024-08", sales: 1580000, order_count: 63 },
{ month: "2024-09", sales: 1650000, order_count: 68 },
{ month: "2024-10", sales: 1780000, order_count: 75 },
{ month: "2024-11", sales: 1920000, order_count: 82 },
{ month: "2024-12", sales: 2100000, order_count: 89 },
];
} else {
// console.log('⚠️ Using DEFAULT data');
// 기본 샘플 데이터
columns = ["category", "value", "count"];
rows = [
{ category: "A", value: 100, count: 10 },
{ category: "B", value: 150, count: 15 },
{ category: "C", value: 120, count: 12 },
{ category: "D", value: 180, count: 18 },
{ category: "E", value: 90, count: 9 },
{ category: "F", value: 200, count: 20 },
{ category: "G", value: 110, count: 11 },
{ category: "H", value: 160, count: 16 },
];
}
return {
columns,
rows,
totalRows: rows.length,
executionTime: Math.floor(Math.random() * 200) + 100, // 100-300ms
};
}