# All files / controllers workReportAnalysisController.js

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     /**
     * 데일리 워크 레포트 분석 컨트롤러
     *
     * 작업 보고서 종합 분석 API 엔드포인트 핸들러
     *
     * @author TK-FB-Project
     * @since 2025-12-11
     */

    const { getDb } = require('../dbPool');
    const { ValidationError, DatabaseError } = require('../utils/errors');
    const { asyncHandler } = require('../middlewares/errorHandler');
    const logger = require('../utils/logger');

    /**
     * 분석용 필터 데이터 조회 (프로젝트, 작업자, 작업유형 목록)
     */
    const getAnalysisFilters = asyncHandler(async (req, res) => {
      logger.info('분석 필터 데이터 조회 요청');

      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.worker_id, w.worker_name
          FROM workers w
          INNER JOIN daily_work_reports dwr ON w.worker_id = dwr.worker_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
        `);

        logger.info('분석 필터 데이터 조회 성공', {
          projects: projects.length,
          workers: workers.length,
          workTypes: workTypes.length
        });

        res.json({
          success: true,
          data: {
            projects,
            workers,
            workTypes,
            dateRange: dateRange[0]
          },
          message: '분석 필터 데이터 조회 성공'
        });
      } catch (error) {
        logger.error('분석 필터 데이터 조회 실패', { error: error.message });
        throw new DatabaseError('필터 데이터 조회 중 오류가 발생했습니다');
      }
    });

    /**
     * 기간별 작업 분석 데이터 조회
     */
    const getAnalyticsByPeriod = asyncHandler(async (req, res) => {
      const { start_date, end_date, project_id, worker_id } = req.query;

      if (!start_date || !end_date) {
        throw new ValidationError('start_date와 end_date가 필요합니다', {
          required: ['start_date', 'end_date'],
          received: { start_date, end_date },
          example: 'start_date=2025-08-01&end_date=2025-08-31'
        });
      }

      logger.info('기간별 분석 데이터 조회 요청', {
        start_date,
        end_date,
        project_id,
        worker_id
      });

      const db = await getDb();

      try {
        // 기본 조건
        let whereConditions = ['dwr.report_date BETWEEN ? AND ?'];
        let queryParams = [start_date, end_date];

        if (project_id) {
          whereConditions.push('dwr.project_id = ?');
          queryParams.push(project_id);
        }

        if (worker_id) {
          whereConditions.push('dwr.worker_id = ?');
          queryParams.push(worker_id);
        }

        const whereClause = whereConditions.join(' AND ');

        // 1. 전체 요약 통계
        const overallSql = `
          SELECT
            COUNT(*) as total_entries,
            SUM(dwr.work_hours) as total_hours,
            COUNT(DISTINCT dwr.worker_id) as unique_workers,
            COUNT(DISTINCT dwr.project_id) as unique_projects,
            COUNT(DISTINCT dwr.report_date) as working_days,
            AVG(dwr.work_hours) as avg_hours_per_entry,
            COUNT(DISTINCT dwr.created_by) as contributors,
            COUNT(CASE WHEN dwr.error_type_id IS NOT NULL THEN 1 END) as error_entries,
            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
          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.worker_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.worker_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.worker_id = w.worker_id
          WHERE ${whereClause}
          GROUP BY w.worker_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.worker_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);

        logger.info('기간별 분석 데이터 조회 성공', {
          start_date,
          end_date,
          total_entries: overallStats[0].total_entries,
          total_hours: overallStats[0].total_hours
        });

        res.json({
          success: true,
          data: {
            summary: overallStats[0],
            dailyStats,
            dailyErrorStats,
            errorAnalysis,
            workTypeAnalysis,
            workerAnalysis,
            projectAnalysis,
            period: { start_date, end_date },
            filters: { project_id, worker_id }
          },
          message: '기간별 분석 데이터 조회 성공'
        });
      } catch (error) {
        logger.error('기간별 분석 데이터 조회 실패', {
          start_date,
          end_date,
          error: error.message
        });
        throw new DatabaseError('기간별 분석 데이터 조회 중 오류가 발생했습니다');
      }
    });

    /**
     * 프로젝트별 상세 분석
     */
    const getProjectAnalysis = asyncHandler(async (req, res) => {
      const { start_date, end_date, project_id } = req.query;

      if (!start_date || !end_date) {
        throw new ValidationError('start_date와 end_date가 필요합니다', {
          required: ['start_date', 'end_date'],
          received: { start_date, end_date }
        });
      }

      logger.info('프로젝트별 분석 조회 요청', {
        start_date,
        end_date,
        project_id
      });

      const db = await getDb();

      try {
        let whereConditions = ['dwr.report_date BETWEEN ? AND ?'];
        let queryParams = [start_date, end_date];

        if (project_id) {
          whereConditions.push('dwr.project_id = ?');
          queryParams.push(project_id);
        }

        const whereClause = whereConditions.join(' AND ');

        const projectStatsSql = `
          SELECT
            dwr.project_id,
            p.project_name,
            SUM(dwr.work_hours) as total_hours,
            COUNT(*) as total_entries,
            COUNT(DISTINCT dwr.worker_id) as workers_count,
            COUNT(DISTINCT dwr.report_date) as working_days,
            AVG(dwr.work_hours) as avg_hours_per_entry
          FROM daily_work_reports dwr
          LEFT JOIN projects p ON dwr.project_id = p.project_id
          WHERE ${whereClause}
          GROUP BY dwr.project_id
          ORDER BY total_hours DESC
        `;

        const [projectStats] = await db.query(projectStatsSql, queryParams);

        logger.info('프로젝트별 분석 조회 성공', {
          start_date,
          end_date,
          projectCount: projectStats.length
        });

        res.json({
          success: true,
          data: {
            projectStats,
            period: { start_date, end_date }
          },
          message: '프로젝트별 분석 조회 성공'
        });
      } catch (error) {
        logger.error('프로젝트별 분석 조회 실패', {
          start_date,
          end_date,
          error: error.message
        });
        throw new DatabaseError('프로젝트별 분석 데이터 조회 중 오류가 발생했습니다');
      }
    });

    /**
     * 작업자별 상세 분석
     */
    const getWorkerAnalysis = asyncHandler(async (req, res) => {
      const { start_date, end_date, worker_id } = req.query;

      if (!start_date || !end_date) {
        throw new ValidationError('start_date와 end_date가 필요합니다', {
          required: ['start_date', 'end_date'],
          received: { start_date, end_date }
        });
      }

      logger.info('작업자별 분석 조회 요청', {
        start_date,
        end_date,
        worker_id
      });

      const db = await getDb();

      try {
        let whereConditions = ['dwr.report_date BETWEEN ? AND ?'];
        let queryParams = [start_date, end_date];

        if (worker_id) {
          whereConditions.push('dwr.worker_id = ?');
          queryParams.push(worker_id);
        }

        const whereClause = whereConditions.join(' AND ');

        const workerStatsSql = `
          SELECT
            dwr.worker_id,
            w.worker_name,
            SUM(dwr.work_hours) as total_hours,
            COUNT(*) as total_entries,
            COUNT(DISTINCT dwr.project_id) as projects_worked,
            COUNT(DISTINCT dwr.report_date) as working_days,
            AVG(dwr.work_hours) as avg_hours_per_entry
          FROM daily_work_reports dwr
          LEFT JOIN workers w ON dwr.worker_id = w.worker_id
          WHERE ${whereClause}
          GROUP BY dwr.worker_id
          ORDER BY total_hours DESC
        `;

        const [workerStats] = await db.query(workerStatsSql, queryParams);

        logger.info('작업자별 분석 조회 성공', {
          start_date,
          end_date,
          workerCount: workerStats.length
        });

        res.json({
          success: true,
          data: {
            workerStats,
            period: { start_date, end_date }
          },
          message: '작업자별 분석 조회 성공'
        });
      } catch (error) {
        logger.error('작업자별 분석 조회 실패', {
          start_date,
          end_date,
          error: error.message
        });
        throw new DatabaseError('작업자별 분석 데이터 조회 중 오류가 발생했습니다');
      }
    });

    module.exports = {
      getAnalysisFilters,
      getAnalyticsByPeriod,
      getProjectAnalysis,
      getWorkerAnalysis
    };