feat: Add Numbering Rule APIs and Frontend Integration

- Implemented a new API endpoint to retrieve numbering rules based on table and column names, enhancing the flexibility of numbering rule management.
- Added a new service method to handle the retrieval of numbering columns specific to a company, ensuring proper company code filtering.
- Updated the frontend to load and display numbering columns, allowing users to select and manage numbering rules effectively.
- Refactored existing logic to improve the handling of numbering rules, including fallback mechanisms for legacy data.

These changes enhance the functionality and user experience in managing numbering rules within the application.
This commit is contained in:
kjs
2026-03-09 14:10:08 +09:00
parent f6a02b5182
commit 2b4b7819c5
7 changed files with 350 additions and 503 deletions

View File

@@ -405,6 +405,30 @@ router.post(
}
);
// 테이블+컬럼 기반 채번 규칙 조회 (메인 API)
router.get(
"/by-column/:tableName/:columnName",
authenticateToken,
async (req: AuthenticatedRequest, res: Response) => {
const companyCode = req.user!.companyCode;
const { tableName, columnName } = req.params;
try {
const rule = await numberingRuleService.getNumberingRuleByColumn(
companyCode,
tableName,
columnName
);
return res.json({ success: true, data: rule });
} catch (error: any) {
logger.error("테이블+컬럼 기반 채번 규칙 조회 실패", {
error: error.message,
});
return res.status(500).json({ success: false, error: error.message });
}
}
);
// ==================== 테스트 테이블용 API ====================
// [테스트] 테스트 테이블에서 채번 규칙 목록 조회

View File

@@ -3019,3 +3019,72 @@ export async function toggleColumnUnique(
});
}
}
/**
* 회사별 채번 타입 컬럼 조회 (카테고리 패턴과 동일)
*
* @route GET /api/table-management/numbering-columns
*/
export async function getNumberingColumnsByCompany(
req: AuthenticatedRequest,
res: Response
): Promise<void> {
try {
const companyCode = req.user?.companyCode;
logger.info("회사별 채번 컬럼 조회 요청", { companyCode });
if (!companyCode) {
res.status(400).json({
success: false,
message: "회사 코드를 확인할 수 없습니다.",
});
return;
}
const { getPool } = await import("../database/db");
const pool = getPool();
const targetCompanyCode = companyCode === "*" ? "*" : companyCode;
const columnsQuery = `
SELECT DISTINCT
ttc.table_name AS "tableName",
COALESCE(
tl.table_label,
initcap(replace(ttc.table_name, '_', ' '))
) AS "tableLabel",
ttc.column_name AS "columnName",
COALESCE(
ttc.column_label,
initcap(replace(ttc.column_name, '_', ' '))
) AS "columnLabel",
ttc.input_type AS "inputType"
FROM table_type_columns ttc
LEFT JOIN table_labels tl
ON ttc.table_name = tl.table_name
WHERE ttc.input_type = 'numbering'
AND ttc.company_code = $1
ORDER BY ttc.table_name, ttc.column_name
`;
const columnsResult = await pool.query(columnsQuery, [targetCompanyCode]);
logger.info("채번 컬럼 조회 완료", {
companyCode,
rowCount: columnsResult.rows.length,
});
res.json({
success: true,
data: columnsResult.rows,
});
} catch (error: any) {
logger.error("채번 컬럼 조회 실패", { error: error.message });
res.status(500).json({
success: false,
message: "채번 컬럼 조회 중 오류가 발생했습니다.",
error: error.message,
});
}
}