fix: MySQL 8.0 호환성 문제 해결 - db.execute → db.query 변경
🔧 주요 변경사항: - WorkAnalysis.js: getRecentWork() 함수에서 db.execute → db.query로 변경 - Redis 연결 설정: socket 방식으로 업데이트 (Redis v5+ 호환) - Docker Compose: Redis 서비스 추가 및 네트워크 단순화 🎯 해결된 문제: - 'Incorrect arguments to mysqld_stmt_execute' 오류 해결 - 시놀로지 MySQL 8.0 환경에서 파라미터 바인딩 호환성 문제 해결 - Redis 연결 실패 문제 해결 📋 참고사항: - MySQL 8.0의 ONLY_FULL_GROUP_BY 모드와 Node.js 드라이버 호환성 문제 - db.execute vs db.query 차이점은 MYSQL_COMPATIBILITY_NOTES.md 참조
This commit is contained in:
Hyungi Ahn
430
synology_deployment/api/models/WorkAnalysis.js
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430
synology_deployment/api/models/WorkAnalysis.js
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// models/WorkAnalysis.js - 향상된 버전
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class WorkAnalysis {
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constructor(db) {
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this.db = db;
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}
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// 기본 통계 조회
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async getBasicStats(startDate, endDate) {
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const query = `
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SELECT
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COALESCE(SUM(work_hours), 0) as total_hours,
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COUNT(*) as total_reports,
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COUNT(DISTINCT project_id) as active_projects,
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COUNT(DISTINCT worker_id) as active_workers,
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SUM(CASE WHEN work_status_id = 2 THEN 1 ELSE 0 END) as error_reports,
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ROUND(AVG(work_hours), 2) as avg_hours_per_report
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FROM daily_work_reports
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WHERE report_date BETWEEN ? AND ?
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`;
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try {
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const [results] = await this.db.execute(query, [startDate, endDate]);
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const stats = results[0];
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const errorRate = stats.total_reports > 0
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? (stats.error_reports / stats.total_reports) * 100
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: 0;
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return {
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totalHours: parseFloat(stats.total_hours) || 0,
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totalReports: parseInt(stats.total_reports) || 0,
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activeProjects: parseInt(stats.active_projects) || 0,
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activeworkers: parseInt(stats.active_workers) || 0,
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errorRate: parseFloat(errorRate.toFixed(2)) || 0,
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avgHoursPerReport: parseFloat(stats.avg_hours_per_report) || 0
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};
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} catch (error) {
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throw new Error(`기본 통계 조회 실패: ${error.message}`);
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}
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}
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// 일별 작업시간 추이
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async getDailyTrend(startDate, endDate) {
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const query = `
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SELECT
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report_date as date,
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SUM(work_hours) as hours,
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COUNT(*) as reports,
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COUNT(DISTINCT worker_id) as workers,
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SUM(CASE WHEN work_status_id = 2 THEN 1 ELSE 0 END) as errors
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FROM daily_work_reports
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WHERE report_date BETWEEN ? AND ?
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GROUP BY report_date
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ORDER BY report_date
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`;
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try {
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const [results] = await this.db.execute(query, [startDate, endDate]);
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return results.map(row => ({
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date: row.date,
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hours: parseFloat(row.hours) || 0,
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reports: parseInt(row.reports) || 0,
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workers: parseInt(row.workers) || 0,
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errors: parseInt(row.errors) || 0
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}));
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} catch (error) {
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throw new Error(`일별 추이 조회 실패: ${error.message}`);
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}
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}
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// 작업자별 통계
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async getWorkerStats(startDate, endDate) {
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const query = `
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SELECT
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dwr.worker_id,
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w.worker_name,
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SUM(dwr.work_hours) as totalHours,
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COUNT(*) as totalReports,
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ROUND(AVG(dwr.work_hours), 2) as avgHours,
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COUNT(DISTINCT dwr.project_id) as projectCount,
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SUM(CASE WHEN dwr.work_status_id = 2 THEN 1 ELSE 0 END) as errorCount,
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COUNT(DISTINCT dwr.report_date) as workingDays
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FROM daily_work_reports dwr
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LEFT JOIN workers w ON dwr.worker_id = w.worker_id
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WHERE dwr.report_date BETWEEN ? AND ?
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GROUP BY dwr.worker_id, w.worker_name
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ORDER BY totalHours DESC
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`;
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try {
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const [results] = await this.db.execute(query, [startDate, endDate]);
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return results.map(row => ({
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worker_id: row.worker_id,
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worker_name: row.worker_name || `작업자 ${row.worker_id}`,
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totalHours: parseFloat(row.totalHours) || 0,
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totalReports: parseInt(row.totalReports) || 0,
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avgHours: parseFloat(row.avgHours) || 0,
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projectCount: parseInt(row.projectCount) || 0,
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errorCount: parseInt(row.errorCount) || 0,
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workingDays: parseInt(row.workingDays) || 0,
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errorRate: row.totalReports > 0 ? parseFloat(((row.errorCount / row.totalReports) * 100).toFixed(2)) : 0
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}));
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} catch (error) {
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throw new Error(`작업자별 통계 조회 실패: ${error.message}`);
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}
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}
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// 프로젝트별 통계
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async getProjectStats(startDate, endDate) {
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const query = `
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SELECT
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dwr.project_id,
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p.project_name,
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SUM(dwr.work_hours) as totalHours,
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COUNT(*) as totalReports,
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COUNT(DISTINCT dwr.worker_id) as workerCount,
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ROUND(AVG(dwr.work_hours), 2) as avgHours,
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SUM(CASE WHEN dwr.work_status_id = 2 THEN 1 ELSE 0 END) as errorCount,
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COUNT(DISTINCT dwr.report_date) as activeDays
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FROM daily_work_reports dwr
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LEFT JOIN projects p ON dwr.project_id = p.project_id
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WHERE dwr.report_date BETWEEN ? AND ?
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GROUP BY dwr.project_id, p.project_name
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ORDER BY totalHours DESC
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`;
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try {
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const [results] = await this.db.execute(query, [startDate, endDate]);
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return results.map(row => ({
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project_id: row.project_id,
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project_name: row.project_name || `프로젝트 ${row.project_id}`,
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totalHours: parseFloat(row.totalHours) || 0,
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totalReports: parseInt(row.totalReports) || 0,
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workerCount: parseInt(row.workerCount) || 0,
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avgHours: parseFloat(row.avgHours) || 0,
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errorCount: parseInt(row.errorCount) || 0,
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activeDays: parseInt(row.activeDays) || 0,
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errorRate: row.totalReports > 0 ? parseFloat(((row.errorCount / row.totalReports) * 100).toFixed(2)) : 0
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}));
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} catch (error) {
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throw new Error(`프로젝트별 통계 조회 실패: ${error.message}`);
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}
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}
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// 작업유형별 통계
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async getWorkTypeStats(startDate, endDate) {
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const query = `
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SELECT
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dwr.work_type_id,
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wt.name as work_type_name,
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SUM(dwr.work_hours) as totalHours,
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COUNT(*) as totalReports,
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ROUND(AVG(dwr.work_hours), 2) as avgHours,
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COUNT(DISTINCT dwr.worker_id) as workerCount,
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SUM(CASE WHEN dwr.work_status_id = 2 THEN 1 ELSE 0 END) as errorCount,
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COUNT(DISTINCT dwr.project_id) as projectCount
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FROM daily_work_reports dwr
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LEFT JOIN work_types wt ON dwr.work_type_id = wt.id
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WHERE dwr.report_date BETWEEN ? AND ?
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GROUP BY dwr.work_type_id, wt.name
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ORDER BY totalHours DESC
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`;
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try {
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const [results] = await this.db.execute(query, [startDate, endDate]);
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return results.map(row => ({
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work_type_id: row.work_type_id,
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work_type_name: row.work_type_name || `작업유형 ${row.work_type_id}`,
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totalHours: parseFloat(row.totalHours) || 0,
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totalReports: parseInt(row.totalReports) || 0,
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avgHours: parseFloat(row.avgHours) || 0,
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workerCount: parseInt(row.workerCount) || 0,
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errorCount: parseInt(row.errorCount) || 0,
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projectCount: parseInt(row.projectCount) || 0,
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errorRate: row.totalReports > 0 ? parseFloat(((row.errorCount / row.totalReports) * 100).toFixed(2)) : 0
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}));
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} catch (error) {
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throw new Error(`작업유형별 통계 조회 실패: ${error.message}`);
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}
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}
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// 최근 작업 현황
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async getRecentWork(startDate, endDate, limit = 50) {
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const query = `
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SELECT
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dwr.id,
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dwr.report_date,
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dwr.worker_id,
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w.worker_name,
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dwr.project_id,
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p.project_name,
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p.job_no,
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dwr.work_type_id,
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wt.name as work_type_name,
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dwr.work_status_id,
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wst.name as work_status_name,
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dwr.error_type_id,
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et.name as error_type_name,
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dwr.work_hours,
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dwr.created_by,
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dwr.created_at
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FROM daily_work_reports dwr
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LEFT JOIN workers w ON dwr.worker_id = w.worker_id
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LEFT JOIN projects p ON dwr.project_id = p.project_id
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LEFT JOIN work_types wt ON dwr.work_type_id = wt.id
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LEFT JOIN work_status_types wst ON dwr.work_status_id = wst.id
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LEFT JOIN error_types et ON dwr.error_type_id = et.id
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WHERE dwr.report_date BETWEEN ? AND ?
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ORDER BY dwr.created_at DESC
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LIMIT ?
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`;
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try {
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const [results] = await this.db.query(query, [startDate, endDate, parseInt(limit)]);
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return results.map(row => ({
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id: row.id,
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report_date: row.report_date,
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worker_id: row.worker_id,
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worker_name: row.worker_name || `작업자 ${row.worker_id}`,
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project_id: row.project_id,
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project_name: row.project_name || `프로젝트 ${row.project_id}`,
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job_no: row.job_no || 'N/A',
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work_type_id: row.work_type_id,
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work_type_name: row.work_type_name || `작업유형 ${row.work_type_id}`,
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work_status_id: row.work_status_id,
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work_status_name: row.work_status_name || '정상',
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error_type_id: row.error_type_id,
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error_type_name: row.error_type_name || null,
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work_hours: parseFloat(row.work_hours) || 0,
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created_by: row.created_by,
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created_by_name: `사용자 ${row.created_by}`,
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created_at: row.created_at
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}));
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} catch (error) {
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throw new Error(`최근 작업 현황 조회 실패: ${error.message}`);
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}
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}
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// 요일별 패턴 분석
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async getWeekdayPattern(startDate, endDate) {
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const query = `
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SELECT
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DAYOFWEEK(report_date) as day_of_week,
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CASE DAYOFWEEK(report_date)
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WHEN 1 THEN '일요일'
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WHEN 2 THEN '월요일'
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WHEN 3 THEN '화요일'
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WHEN 4 THEN '수요일'
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WHEN 5 THEN '목요일'
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WHEN 6 THEN '금요일'
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WHEN 7 THEN '토요일'
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END as day_name,
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SUM(work_hours) as total_hours,
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COUNT(*) as total_reports,
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ROUND(AVG(work_hours), 2) as avg_hours,
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COUNT(DISTINCT worker_id) as active_workers
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FROM daily_work_reports
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WHERE report_date BETWEEN ? AND ?
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GROUP BY DAYOFWEEK(report_date)
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ORDER BY day_of_week
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`;
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try {
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const [results] = await this.db.execute(query, [startDate, endDate]);
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return results.map(row => ({
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dayOfWeek: row.day_of_week,
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dayName: row.day_name,
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totalHours: parseFloat(row.total_hours) || 0,
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totalReports: parseInt(row.total_reports) || 0,
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avgHours: parseFloat(row.avg_hours) || 0,
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activeworkers: parseInt(row.active_workers) || 0
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}));
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} catch (error) {
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throw new Error(`요일별 패턴 분석 실패: ${error.message}`);
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}
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}
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// 에러 분석
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async getErrorAnalysis(startDate, endDate) {
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const query = `
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SELECT
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dwr.error_type_id,
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et.name as error_type_name,
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COUNT(*) as error_count,
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SUM(dwr.work_hours) as total_hours,
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COUNT(DISTINCT dwr.worker_id) as affected_workers,
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COUNT(DISTINCT dwr.project_id) as affected_projects
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FROM daily_work_reports dwr
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LEFT JOIN error_types et ON dwr.error_type_id = et.id
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WHERE dwr.report_date BETWEEN ? AND ?
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AND dwr.work_status_id = 2
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GROUP BY dwr.error_type_id, et.name
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ORDER BY error_count DESC
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`;
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try {
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const [results] = await this.db.execute(query, [startDate, endDate]);
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return results.map(row => ({
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error_type_id: row.error_type_id,
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error_type_name: row.error_type_name || `에러유형 ${row.error_type_id}`,
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errorCount: parseInt(row.error_count) || 0,
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totalHours: parseFloat(row.total_hours) || 0,
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affectedworkers: parseInt(row.affected_workers) || 0,
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affectedProjects: parseInt(row.affected_projects) || 0
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}));
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} catch (error) {
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throw new Error(`에러 분석 실패: ${error.message}`);
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}
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}
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// 월별 비교 분석
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async getMonthlyComparison(year) {
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const query = `
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SELECT
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MONTH(report_date) as month,
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MONTHNAME(report_date) as month_name,
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SUM(work_hours) as total_hours,
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COUNT(*) as total_reports,
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COUNT(DISTINCT worker_id) as active_workers,
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COUNT(DISTINCT project_id) as active_projects,
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SUM(CASE WHEN work_status_id = 2 THEN 1 ELSE 0 END) as error_count
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FROM daily_work_reports
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WHERE YEAR(report_date) = ?
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GROUP BY MONTH(report_date), MONTHNAME(report_date)
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ORDER BY month
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`;
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try {
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const [results] = await this.db.execute(query, [year]);
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return results.map(row => ({
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month: row.month,
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monthName: row.month_name,
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totalHours: parseFloat(row.total_hours) || 0,
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totalReports: parseInt(row.total_reports) || 0,
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activeworkers: parseInt(row.active_workers) || 0,
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activeProjects: parseInt(row.active_projects) || 0,
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errorCount: parseInt(row.error_count) || 0,
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errorRate: row.total_reports > 0 ? parseFloat(((row.error_count / row.total_reports) * 100).toFixed(2)) : 0
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}));
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} catch (error) {
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throw new Error(`월별 비교 분석 실패: ${error.message}`);
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}
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}
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// 작업자별 전문분야 분석
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async getWorkerSpecialization(startDate, endDate) {
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const query = `
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SELECT
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dwr.worker_id,
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w.worker_name,
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dwr.work_type_id,
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wt.name as work_type_name,
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dwr.project_id,
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p.project_name,
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SUM(dwr.work_hours) as totalHours,
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COUNT(*) as totalReports,
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ROUND((SUM(dwr.work_hours) / (
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SELECT SUM(work_hours)
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FROM daily_work_reports
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WHERE worker_id = dwr.worker_id
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AND report_date BETWEEN ? AND ?
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)) * 100, 2) as percentage
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FROM daily_work_reports dwr
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LEFT JOIN workers w ON dwr.worker_id = w.worker_id
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LEFT JOIN work_types wt ON dwr.work_type_id = wt.id
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LEFT JOIN projects p ON dwr.project_id = p.project_id
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WHERE dwr.report_date BETWEEN ? AND ?
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GROUP BY dwr.worker_id, w.worker_name, dwr.work_type_id, wt.name, dwr.project_id, p.project_name
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HAVING totalHours > 0
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ORDER BY dwr.worker_id, totalHours DESC
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`;
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try {
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const [results] = await this.db.execute(query, [startDate, endDate, startDate, endDate]);
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return results.map(row => ({
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worker_id: row.worker_id,
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worker_name: row.worker_name || `작업자 ${row.worker_id}`,
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work_type_id: row.work_type_id,
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work_type_name: row.work_type_name || `작업유형 ${row.work_type_id}`,
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project_id: row.project_id,
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project_name: row.project_name || `프로젝트 ${row.project_id}`,
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totalHours: parseFloat(row.totalHours) || 0,
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totalReports: parseInt(row.totalReports) || 0,
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||||
percentage: parseFloat(row.percentage) || 0
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||||
}));
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} catch (error) {
|
||||
throw new Error(`작업자별 전문분야 분석 실패: ${error.message}`);
|
||||
}
|
||||
}
|
||||
|
||||
// 대시보드용 종합 데이터
|
||||
async getDashboardData(startDate, endDate) {
|
||||
try {
|
||||
// 병렬로 모든 데이터 조회
|
||||
const [
|
||||
stats,
|
||||
dailyTrend,
|
||||
workerStats,
|
||||
projectStats,
|
||||
workTypeStats,
|
||||
recentWork
|
||||
] = await Promise.all([
|
||||
this.getBasicStats(startDate, endDate),
|
||||
this.getDailyTrend(startDate, endDate),
|
||||
this.getWorkerStats(startDate, endDate),
|
||||
this.getProjectStats(startDate, endDate),
|
||||
this.getWorkTypeStats(startDate, endDate),
|
||||
this.getRecentWork(startDate, endDate, 20)
|
||||
]);
|
||||
|
||||
return {
|
||||
stats,
|
||||
dailyTrend,
|
||||
workerStats,
|
||||
projectStats,
|
||||
workTypeStats,
|
||||
recentWork,
|
||||
metadata: {
|
||||
period: `${startDate} ~ ${endDate}`,
|
||||
timestamp: new Date().toISOString()
|
||||
}
|
||||
};
|
||||
} catch (error) {
|
||||
throw new Error(`대시보드 데이터 조회 실패: ${error.message}`);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
module.exports = WorkAnalysis;
|
||||
284
synology_deployment/api/utils/cache.js
Normal file
284
synology_deployment/api/utils/cache.js
Normal file
@@ -0,0 +1,284 @@
|
||||
// utils/cache.js - 통합 캐싱 시스템
|
||||
|
||||
const NodeCache = require('node-cache');
|
||||
|
||||
// 메모리 캐시 (Redis가 없을 때 fallback)
|
||||
const memoryCache = new NodeCache({
|
||||
stdTTL: 600, // 기본 10분
|
||||
checkperiod: 120, // 2분마다 만료된 키 정리
|
||||
useClones: false // 성능 향상을 위해 복사본 생성 안함
|
||||
});
|
||||
|
||||
// Redis 클라이언트 (선택적)
|
||||
let redisClient = null;
|
||||
|
||||
/**
|
||||
* Redis 연결 초기화 (선택적)
|
||||
*/
|
||||
const initRedis = async () => {
|
||||
try {
|
||||
const redis = require('redis');
|
||||
|
||||
redisClient = redis.createClient({
|
||||
socket: {
|
||||
host: process.env.REDIS_HOST || 'localhost',
|
||||
port: process.env.REDIS_PORT || 6379,
|
||||
reconnectStrategy: (retries) => {
|
||||
if (retries > 10) {
|
||||
console.warn('Redis 재시도 횟수 초과. 메모리 캐시를 사용합니다.');
|
||||
return false; // Redis 연결 포기
|
||||
}
|
||||
return Math.min(retries * 100, 3000);
|
||||
}
|
||||
},
|
||||
password: process.env.REDIS_PASSWORD || undefined,
|
||||
database: process.env.REDIS_DB || 0
|
||||
});
|
||||
|
||||
redisClient.on('error', (err) => {
|
||||
console.warn('Redis 오류:', err.message);
|
||||
redisClient = null; // Redis 사용 중단, 메모리 캐시로 fallback
|
||||
});
|
||||
|
||||
redisClient.on('connect', () => {
|
||||
console.log('✅ Redis 캐시 연결 성공');
|
||||
});
|
||||
|
||||
await redisClient.connect();
|
||||
|
||||
} catch (error) {
|
||||
console.warn('Redis 초기화 실패, 메모리 캐시 사용:', error.message);
|
||||
redisClient = null;
|
||||
}
|
||||
};
|
||||
|
||||
/**
|
||||
* 캐시에서 값 조회
|
||||
*/
|
||||
const get = async (key) => {
|
||||
try {
|
||||
if (redisClient && redisClient.isOpen) {
|
||||
const value = await redisClient.get(key);
|
||||
return value ? JSON.parse(value) : null;
|
||||
} else {
|
||||
return memoryCache.get(key) || null;
|
||||
}
|
||||
} catch (error) {
|
||||
console.warn(`캐시 조회 오류 (${key}):`, error.message);
|
||||
return null;
|
||||
}
|
||||
};
|
||||
|
||||
/**
|
||||
* 캐시에 값 저장
|
||||
*/
|
||||
const set = async (key, value, ttl = 600) => {
|
||||
try {
|
||||
if (redisClient && redisClient.isOpen) {
|
||||
await redisClient.setEx(key, ttl, JSON.stringify(value));
|
||||
} else {
|
||||
memoryCache.set(key, value, ttl);
|
||||
}
|
||||
return true;
|
||||
} catch (error) {
|
||||
console.warn(`캐시 저장 오류 (${key}):`, error.message);
|
||||
return false;
|
||||
}
|
||||
};
|
||||
|
||||
/**
|
||||
* 캐시에서 값 삭제
|
||||
*/
|
||||
const del = async (key) => {
|
||||
try {
|
||||
if (redisClient && redisClient.isOpen) {
|
||||
await redisClient.del(key);
|
||||
} else {
|
||||
memoryCache.del(key);
|
||||
}
|
||||
return true;
|
||||
} catch (error) {
|
||||
console.warn(`캐시 삭제 오류 (${key}):`, error.message);
|
||||
return false;
|
||||
}
|
||||
};
|
||||
|
||||
/**
|
||||
* 패턴으로 캐시 키 삭제
|
||||
*/
|
||||
const delPattern = async (pattern) => {
|
||||
try {
|
||||
if (redisClient && redisClient.isOpen) {
|
||||
const keys = await redisClient.keys(pattern);
|
||||
if (keys.length > 0) {
|
||||
await redisClient.del(keys);
|
||||
}
|
||||
} else {
|
||||
const keys = memoryCache.keys();
|
||||
const matchingKeys = keys.filter(key => {
|
||||
const regex = new RegExp(pattern.replace('*', '.*'));
|
||||
return regex.test(key);
|
||||
});
|
||||
memoryCache.del(matchingKeys);
|
||||
}
|
||||
return true;
|
||||
} catch (error) {
|
||||
console.warn(`패턴 캐시 삭제 오류 (${pattern}):`, error.message);
|
||||
return false;
|
||||
}
|
||||
};
|
||||
|
||||
/**
|
||||
* 전체 캐시 초기화
|
||||
*/
|
||||
const flush = async () => {
|
||||
try {
|
||||
if (redisClient && redisClient.isOpen) {
|
||||
await redisClient.flushDb();
|
||||
} else {
|
||||
memoryCache.flushAll();
|
||||
}
|
||||
return true;
|
||||
} catch (error) {
|
||||
console.warn('캐시 초기화 오류:', error.message);
|
||||
return false;
|
||||
}
|
||||
};
|
||||
|
||||
/**
|
||||
* 캐시 통계 조회
|
||||
*/
|
||||
const getStats = () => {
|
||||
if (redisClient && redisClient.isOpen) {
|
||||
return {
|
||||
type: 'redis',
|
||||
connected: true,
|
||||
host: process.env.REDIS_HOST || 'localhost',
|
||||
port: process.env.REDIS_PORT || 6379
|
||||
};
|
||||
} else {
|
||||
const stats = memoryCache.getStats();
|
||||
return {
|
||||
type: 'memory',
|
||||
connected: true,
|
||||
keys: stats.keys,
|
||||
hits: stats.hits,
|
||||
misses: stats.misses,
|
||||
hitRate: stats.hits / (stats.hits + stats.misses) || 0
|
||||
};
|
||||
}
|
||||
};
|
||||
|
||||
/**
|
||||
* 캐시 키 생성 헬퍼
|
||||
*/
|
||||
const createKey = (prefix, ...parts) => {
|
||||
return `${prefix}:${parts.join(':')}`;
|
||||
};
|
||||
|
||||
/**
|
||||
* TTL 상수 정의
|
||||
*/
|
||||
const TTL = {
|
||||
SHORT: 60, // 1분
|
||||
MEDIUM: 300, // 5분
|
||||
LONG: 600, // 10분
|
||||
HOUR: 3600, // 1시간
|
||||
DAY: 86400 // 24시간
|
||||
};
|
||||
|
||||
/**
|
||||
* 캐시 미들웨어 생성기
|
||||
*/
|
||||
const createCacheMiddleware = (keyGenerator, ttl = TTL.MEDIUM) => {
|
||||
return async (req, res, next) => {
|
||||
try {
|
||||
const cacheKey = typeof keyGenerator === 'function'
|
||||
? keyGenerator(req)
|
||||
: keyGenerator;
|
||||
|
||||
const cachedData = await get(cacheKey);
|
||||
|
||||
if (cachedData) {
|
||||
console.log(`🎯 캐시 히트: ${cacheKey}`);
|
||||
return res.json(cachedData);
|
||||
}
|
||||
|
||||
// 원본 res.json을 저장
|
||||
const originalJson = res.json;
|
||||
|
||||
// res.json을 오버라이드하여 응답을 캐시에 저장
|
||||
res.json = function(data) {
|
||||
// 성공 응답만 캐시
|
||||
if (res.statusCode >= 200 && res.statusCode < 300) {
|
||||
set(cacheKey, data, ttl).then(() => {
|
||||
console.log(`💾 캐시 저장: ${cacheKey}`);
|
||||
});
|
||||
}
|
||||
|
||||
// 원본 응답 실행
|
||||
return originalJson.call(this, data);
|
||||
};
|
||||
|
||||
next();
|
||||
|
||||
} catch (error) {
|
||||
console.warn('캐시 미들웨어 오류:', error.message);
|
||||
next();
|
||||
}
|
||||
};
|
||||
};
|
||||
|
||||
/**
|
||||
* 캐시 무효화 헬퍼
|
||||
*/
|
||||
const invalidateCache = {
|
||||
// 사용자 관련 캐시 무효화
|
||||
user: async (userId) => {
|
||||
await delPattern(`user:${userId}:*`);
|
||||
await delPattern('users:*');
|
||||
},
|
||||
|
||||
// 작업자 관련 캐시 무효화
|
||||
worker: async (workerId) => {
|
||||
await delPattern(`worker:${workerId}:*`);
|
||||
await delPattern('workers:*');
|
||||
},
|
||||
|
||||
// 프로젝트 관련 캐시 무효화
|
||||
project: async (projectId) => {
|
||||
await delPattern(`project:${projectId}:*`);
|
||||
await delPattern('projects:*');
|
||||
},
|
||||
|
||||
// 작업 관련 캐시 무효화
|
||||
task: async (taskId) => {
|
||||
await delPattern(`task:${taskId}:*`);
|
||||
await delPattern('tasks:*');
|
||||
},
|
||||
|
||||
// 일일 작업 보고서 관련 캐시 무효화
|
||||
dailyWorkReport: async (date) => {
|
||||
await delPattern(`daily-work-report:${date}:*`);
|
||||
await delPattern('daily-work-reports:*');
|
||||
},
|
||||
|
||||
// 전체 캐시 무효화
|
||||
all: async () => {
|
||||
await flush();
|
||||
}
|
||||
};
|
||||
|
||||
module.exports = {
|
||||
initRedis,
|
||||
get,
|
||||
set,
|
||||
del,
|
||||
delPattern,
|
||||
flush,
|
||||
getStats,
|
||||
createKey,
|
||||
TTL,
|
||||
createCacheMiddleware,
|
||||
invalidateCache
|
||||
};
|
||||
Reference in New Issue
Block a user