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refactor: System1 API 인증 체계 SSO 전환 및 마이그레이션 정비

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- SSO JWT 인증으로 전환 (auth.service.js)
- worker_id → user_id 마이그레이션 완료
- departments 연동, CORS 미들웨어 정리
- 불필요 파일 삭제 (tk_database.db, visitRequestController.js)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Hyungi Ahn
2026-03-06 23:18:00 +09:00
parent 2f7e083db0
commit ec755ed52f
47 changed files with 181 additions and 716 deletions
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268
system1-factory/api/controllers/workReportAnalysisController.js
View File

@@ -21,37 +21,32 @@ const getAnalysisFilters = asyncHandler(async (req, res) => {
const db = await getDb();
try {
// 프로젝트 목록
const [projects] = await db.query(`
SELECT DISTINCT p.project_id, p.project_name
FROM projects p
INNER JOIN daily_work_reports dwr ON p.project_id = dwr.project_id
ORDER BY p.project_name
`);
// 작업자 목록
const [workers] = await db.query(`
SELECT DISTINCT w.user_id, w.worker_name
FROM workers w
INNER JOIN daily_work_reports dwr ON w.user_id = dwr.user_id
ORDER BY w.worker_name
`);
// 작업 유형 목록
const [workTypes] = await db.query(`
SELECT DISTINCT wt.id as work_type_id, wt.name as work_type_name
FROM work_types wt
INNER JOIN daily_work_reports dwr ON wt.id = dwr.work_type_id
ORDER BY wt.name
`);
// 날짜 범위
const [dateRange] = await db.query(`
SELECT
MIN(report_date) as min_date,
MAX(report_date) as max_date
FROM daily_work_reports
`);
const [[projects], [workers], [workTypes], [dateRange]] = await Promise.all([
db.query(`
SELECT DISTINCT p.project_id, p.project_name
FROM projects p
INNER JOIN daily_work_reports dwr ON p.project_id = dwr.project_id
ORDER BY p.project_name
`),
db.query(`
SELECT DISTINCT w.user_id, w.worker_name
FROM workers w
INNER JOIN daily_work_reports dwr ON w.user_id = dwr.user_id
ORDER BY w.worker_name
`),
db.query(`
SELECT DISTINCT wt.id as work_type_id, wt.name as work_type_name
FROM work_types wt
INNER JOIN daily_work_reports dwr ON wt.id = dwr.work_type_id
ORDER BY wt.name
`),
db.query(`
SELECT
MIN(report_date) as min_date,
MAX(report_date) as max_date
FROM daily_work_reports
`),
]);
logger.info('분석 필터 데이터 조회 성공', {
projects: projects.length,
@@ -131,115 +126,108 @@ const getAnalyticsByPeriod = asyncHandler(async (req, res) => {
WHERE ${whereClause}
`;
const [overallStats] = await db.query(overallSql, queryParams);
// 2. 일별 통계
const dailyStatsSql = `
SELECT
dwr.report_date,
SUM(dwr.work_hours) as daily_hours,
COUNT(*) as daily_entries,
COUNT(DISTINCT dwr.user_id) as daily_workers
FROM daily_work_reports dwr
WHERE ${whereClause}
GROUP BY dwr.report_date
ORDER BY dwr.report_date ASC
`;
const [dailyStats] = await db.query(dailyStatsSql, queryParams);
// 3. 일별 에러 통계
const dailyErrorStatsSql = `
SELECT
dwr.report_date,
COUNT(CASE WHEN dwr.error_type_id IS NOT NULL THEN 1 END) as daily_errors,
COUNT(*) as daily_total,
ROUND((COUNT(CASE WHEN dwr.error_type_id IS NOT NULL THEN 1 END) / COUNT(*)) * 100, 2) as daily_error_rate
FROM daily_work_reports dwr
WHERE ${whereClause}
GROUP BY dwr.report_date
ORDER BY dwr.report_date ASC
`;
const [dailyErrorStats] = await db.query(dailyErrorStatsSql, queryParams);
// 4. 에러 유형별 분석
const errorAnalysisSql = `
SELECT
et.id as error_type_id,
et.name as error_type_name,
COUNT(*) as error_count,
SUM(dwr.work_hours) as error_hours,
ROUND((COUNT(*) / (SELECT COUNT(*) FROM daily_work_reports WHERE error_type_id IS NOT NULL)) * 100, 2) as error_percentage
FROM daily_work_reports dwr
LEFT JOIN error_types et ON dwr.error_type_id = et.id
WHERE ${whereClause} AND dwr.error_type_id IS NOT NULL
GROUP BY et.id, et.name
ORDER BY error_count DESC
`;
const [errorAnalysis] = await db.query(errorAnalysisSql, queryParams);
// 5. 작업 유형별 분석
const workTypeAnalysisSql = `
SELECT
wt.id as work_type_id,
wt.name as work_type_name,
COUNT(*) as work_count,
SUM(dwr.work_hours) as total_hours,
AVG(dwr.work_hours) as avg_hours,
COUNT(CASE WHEN dwr.error_type_id IS NOT NULL THEN 1 END) as error_count,
ROUND((COUNT(CASE WHEN dwr.error_type_id IS NOT NULL THEN 1 END) / COUNT(*)) * 100, 2) as error_rate
FROM daily_work_reports dwr
LEFT JOIN work_types wt ON dwr.work_type_id = wt.id
WHERE ${whereClause}
GROUP BY wt.id, wt.name
ORDER BY total_hours DESC
`;
const [workTypeAnalysis] = await db.query(workTypeAnalysisSql, queryParams);
// 6. 작업자별 성과 분석
const workerAnalysisSql = `
SELECT
w.user_id,
w.worker_name,
COUNT(*) as total_entries,
SUM(dwr.work_hours) as total_hours,
AVG(dwr.work_hours) as avg_hours_per_entry,
COUNT(DISTINCT dwr.project_id) as projects_worked,
COUNT(DISTINCT dwr.report_date) as working_days,
COUNT(CASE WHEN dwr.error_type_id IS NOT NULL THEN 1 END) as error_count,
ROUND((COUNT(CASE WHEN dwr.error_type_id IS NOT NULL THEN 1 END) / COUNT(*)) * 100, 2) as error_rate
FROM daily_work_reports dwr
LEFT JOIN workers w ON dwr.user_id = w.user_id
WHERE ${whereClause}
GROUP BY w.user_id, w.worker_name
ORDER BY total_hours DESC
`;
const [workerAnalysis] = await db.query(workerAnalysisSql, queryParams);
// 7. 프로젝트별 분석
const projectAnalysisSql = `
SELECT
p.project_id,
p.project_name,
COUNT(*) as total_entries,
SUM(dwr.work_hours) as total_hours,
COUNT(DISTINCT dwr.user_id) as workers_count,
COUNT(DISTINCT dwr.report_date) as working_days,
AVG(dwr.work_hours) as avg_hours_per_entry,
COUNT(CASE WHEN dwr.error_type_id IS NOT NULL THEN 1 END) as error_count,
ROUND((COUNT(CASE WHEN dwr.error_type_id IS NOT NULL THEN 1 END) / COUNT(*)) * 100, 2) as error_rate
FROM daily_work_reports dwr
LEFT JOIN projects p ON dwr.project_id = p.project_id
WHERE ${whereClause}
GROUP BY p.project_id, p.project_name
ORDER BY total_hours DESC
`;
const [projectAnalysis] = await db.query(projectAnalysisSql, queryParams);
const [
[overallStats],
[dailyStats],
[dailyErrorStats],
[errorAnalysis],
[workTypeAnalysis],
[workerAnalysis],
[projectAnalysis],
] = await Promise.all([
// 1. 전체 요약 통계
db.query(overallSql, queryParams),
// 2. 일별 통계
db.query(`
SELECT
dwr.report_date,
SUM(dwr.work_hours) as daily_hours,
COUNT(*) as daily_entries,
COUNT(DISTINCT dwr.user_id) as daily_workers
FROM daily_work_reports dwr
WHERE ${whereClause}
GROUP BY dwr.report_date
ORDER BY dwr.report_date ASC
`, queryParams),
// 3. 일별 에러 통계
db.query(`
SELECT
dwr.report_date,
COUNT(CASE WHEN dwr.error_type_id IS NOT NULL THEN 1 END) as daily_errors,
COUNT(*) as daily_total,
ROUND((COUNT(CASE WHEN dwr.error_type_id IS NOT NULL THEN 1 END) / COUNT(*)) * 100, 2) as daily_error_rate
FROM daily_work_reports dwr
WHERE ${whereClause}
GROUP BY dwr.report_date
ORDER BY dwr.report_date ASC
`, queryParams),
// 4. 에러 유형별 분석
db.query(`
SELECT
et.id as error_type_id,
et.name as error_type_name,
COUNT(*) as error_count,
SUM(dwr.work_hours) as error_hours,
ROUND((COUNT(*) / (SELECT COUNT(*) FROM daily_work_reports WHERE error_type_id IS NOT NULL)) * 100, 2) as error_percentage
FROM daily_work_reports dwr
LEFT JOIN error_types et ON dwr.error_type_id = et.id
WHERE ${whereClause} AND dwr.error_type_id IS NOT NULL
GROUP BY et.id, et.name
ORDER BY error_count DESC
`, queryParams),
// 5. 작업 유형별 분석
db.query(`
SELECT
wt.id as work_type_id,
wt.name as work_type_name,
COUNT(*) as work_count,
SUM(dwr.work_hours) as total_hours,
AVG(dwr.work_hours) as avg_hours,
COUNT(CASE WHEN dwr.error_type_id IS NOT NULL THEN 1 END) as error_count,
ROUND((COUNT(CASE WHEN dwr.error_type_id IS NOT NULL THEN 1 END) / COUNT(*)) * 100, 2) as error_rate
FROM daily_work_reports dwr
LEFT JOIN work_types wt ON dwr.work_type_id = wt.id
WHERE ${whereClause}
GROUP BY wt.id, wt.name
ORDER BY total_hours DESC
`, queryParams),
// 6. 작업자별 성과 분석
db.query(`
SELECT
w.user_id,
w.worker_name,
COUNT(*) as total_entries,
SUM(dwr.work_hours) as total_hours,
AVG(dwr.work_hours) as avg_hours_per_entry,
COUNT(DISTINCT dwr.project_id) as projects_worked,
COUNT(DISTINCT dwr.report_date) as working_days,
COUNT(CASE WHEN dwr.error_type_id IS NOT NULL THEN 1 END) as error_count,
ROUND((COUNT(CASE WHEN dwr.error_type_id IS NOT NULL THEN 1 END) / COUNT(*)) * 100, 2) as error_rate
FROM daily_work_reports dwr
LEFT JOIN workers w ON dwr.user_id = w.user_id
WHERE ${whereClause}
GROUP BY w.user_id, w.worker_name
ORDER BY total_hours DESC
`, queryParams),
// 7. 프로젝트별 분석
db.query(`
SELECT
p.project_id,
p.project_name,
COUNT(*) as total_entries,
SUM(dwr.work_hours) as total_hours,
COUNT(DISTINCT dwr.user_id) as workers_count,
COUNT(DISTINCT dwr.report_date) as working_days,
AVG(dwr.work_hours) as avg_hours_per_entry,
COUNT(CASE WHEN dwr.error_type_id IS NOT NULL THEN 1 END) as error_count,
ROUND((COUNT(CASE WHEN dwr.error_type_id IS NOT NULL THEN 1 END) / COUNT(*)) * 100, 2) as error_rate
FROM daily_work_reports dwr
LEFT JOIN projects p ON dwr.project_id = p.project_id
WHERE ${whereClause}
GROUP BY p.project_id, p.project_name
ORDER BY total_hours DESC
`, queryParams),
]);
logger.info('기간별 분석 데이터 조회 성공', {
start_date,