fix: 캘린더 모달 중복 카드 문제 및 삭제 권한 개선

- monthly_worker_status 조회 시 GROUP BY로 중복 데이터 합산
- 작업보고서 삭제 권한을 그룹장 이상으로 제한 (admin, system, group_leader)
- 중복 데이터 정리를 위한 마이그레이션 SQL 추가 (009_fix_duplicate_monthly_status.sql)
- synology_deployment 버전에도 동일 수정 적용

synology_deployment/api/models/analysisModel.js

@@ -0,0 +1,115 @@
+// /models/analysisModel.js
+const { getDb } = require('../dbPool');
+
+/**
+ * 지정된 기간 동안의 작업 보고서 데이터를 집계하여 분석합니다.
+ * 이 함수는 여러 개의 SQL 쿼리를 병렬로 실행하여 효율성을 높입니다.
+ * @param {string} startDate - 시작일 (YYYY-MM-DD)
+ * @param {string} endDate - 종료일 (YYYY-MM-DD)
+ * @returns {Promise<object>} - 요약, 프로젝트별, 작업자별, 작업별 집계 데이터 및 상세 내역
+ */
+const getAnalysis = async (startDate, endDate) => {
+  try {
+    const db = await getDb();
+
+    // SQL 쿼리에서 반복적으로 사용될 WHERE 조건과 실제 투입 시간 계산 로직
+    const whereClause = `WHERE dwr.report_date BETWEEN ? AND ?`;
+    const workHoursCalc = `
+      CASE dwr.work_details
+        WHEN '연차' THEN 0 WHEN '반차' THEN 4 WHEN '반반차' THEN 6
+        WHEN '조퇴' THEN 2 WHEN '휴무' THEN 0 WHEN '유급' THEN 0
+        ELSE 8
+      END + (COALESCE(dwr.overtime_hours, 0) * 1.5)
+    `;
+
+    // 1. 요약 정보 쿼리
+    const summarySql = `
+      SELECT
+        COUNT(DISTINCT dwr.project_id) as totalProjects,
+        COUNT(DISTINCT dwr.worker_id) as totalworkers,
+        COUNT(DISTINCT dwr.task_id) as totalTasks,
+        SUM(${workHoursCalc}) as totalHours
+      FROM DailyWorkReports dwr
+      ${whereClause} AND (${workHoursCalc}) > 0
+    `;
+    
+    // 2. 프로젝트별 집계 쿼리
+    const byProjectSql = `
+      SELECT p.project_name as name, SUM(${workHoursCalc}) as hours, COUNT(DISTINCT dwr.worker_id) as participants
+      FROM DailyWorkReports dwr
+      JOIN projects p ON dwr.project_id = p.project_id
+      ${whereClause}
+      GROUP BY p.project_name
+      HAVING hours > 0
+      ORDER BY hours DESC;
+    `;
+
+    // 3. 작업자별 집계 쿼리
+    const byWorkerSql = `
+      SELECT w.worker_name as name, SUM(${workHoursCalc}) as hours, COUNT(DISTINCT dwr.project_id) as participants
+      FROM DailyWorkReports dwr
+      JOIN workers w ON dwr.worker_id = w.worker_id
+      ${whereClause}
+      GROUP BY w.worker_name
+      HAVING hours > 0
+      ORDER BY hours DESC;
+    `;
+    
+    // 4. 작업별 집계 쿼리
+    const byTaskSql = `
+      SELECT t.category as name, SUM(${workHoursCalc}) as hours, COUNT(DISTINCT dwr.worker_id) as participants
+      FROM DailyWorkReports dwr
+      JOIN Tasks t ON dwr.task_id = t.task_id
+      ${whereClause}
+      GROUP BY t.category
+      HAVING hours > 0
+      ORDER BY hours DESC;
+    `;
+
+    // 5. 상세 내역 쿼리
+    const detailsSql = `
+      SELECT 
+        dwr.report_date as date, p.project_name, w.worker_name,
+        t.category as task_category, dwr.work_details,
+        (${workHoursCalc}) as work_hours, dwr.memo
+      FROM DailyWorkReports dwr
+      JOIN projects p ON dwr.project_id = p.project_id
+      JOIN workers w ON dwr.worker_id = w.worker_id
+      JOIN Tasks t ON dwr.task_id = t.task_id
+      ${whereClause}
+      HAVING work_hours > 0
+      ORDER BY dwr.report_date DESC;
+    `;
+
+    // 모든 쿼리를 병렬로 실행
+    const [
+      [summaryResult], 
+      [byProject], 
+      [byWorker], 
+      [byTask], 
+      [details]
+    ] = await Promise.all([
+      db.query(summarySql, [startDate, endDate]),
+      db.query(byProjectSql, [startDate, endDate]),
+      db.query(byWorkerSql, [startDate, endDate]),
+      db.query(byTaskSql, [startDate, endDate]),
+      db.query(detailsSql, [startDate, endDate])
+    ]);
+
+    return {
+      summary: summaryResult[0],
+      byProject,
+      byWorker,
+      byTask,
+      details
+    };
+
+  } catch (err) {
+    console.error('[Model] 분석 데이터 조회 오류:', err);
+    throw new Error('데이터베이스에서 분석 데이터를 조회하는 중 오류가 발생했습니다.');
+  }
+};
+
+module.exports = {
+  getAnalysis
+};