package com.ruoyi.analytics.service.impl;

import java.io.IOException;
import java.math.BigDecimal;
import java.math.RoundingMode;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Date;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.concurrent.CompletableFuture;

import javax.servlet.http.HttpServletResponse;

import org.apache.poi.ss.usermodel.Row;
import org.apache.poi.ss.usermodel.Sheet;
import org.apache.poi.ss.usermodel.Workbook;
import org.apache.poi.xssf.usermodel.XSSFWorkbook;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.scheduling.annotation.Async;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;

import com.ruoyi.analytics.domain.DashboardWidget;
import com.ruoyi.analytics.domain.ReportConfig;
import com.ruoyi.analytics.domain.ReportInstance;
import com.ruoyi.analytics.dto.FinancialReportData;
import com.ruoyi.analytics.dto.FinancialReportData.CreditStatistics;
import com.ruoyi.analytics.dto.FinancialReportData.RevenueAnalysis;
import com.ruoyi.analytics.dto.FinancialReportData.RiskAssessment;
import com.ruoyi.analytics.dto.FinancialReportData.TrendData;
import com.ruoyi.analytics.mapper.DashboardWidgetMapper;
import com.ruoyi.analytics.mapper.ReportAnalyticsMapper;
import com.ruoyi.analytics.mapper.ReportInstanceMapper;
import com.ruoyi.analytics.service.IReportAnalyzerService;
import com.ruoyi.common.exception.ServiceException;
import com.ruoyi.common.utils.DateUtils;

/**
 * 报表分析服务实现
 * 
 * ReportAnalyzer组件处理报表生成和数据分析
 * 实现债权统计、收益分析、风险评估等多维度财务报表
 * 
 * @author ruoyi
 * @date 2025-12-19
 */
@Service
public class ReportAnalyzerServiceImpl implements IReportAnalyzerService
{
    private static final Logger logger = LoggerFactory.getLogger(ReportAnalyzerServiceImpl.class);

    @Autowired
    private ReportAnalyticsMapper reportAnalyticsMapper;

    @Autowired
    private ReportInstanceMapper reportInstanceMapper;

    @Autowired
    private DashboardWidgetMapper dashboardWidgetMapper;

    /**
     * 生成财务报表
     */
    @Override
    @Async
    @Transactional
    public String generateFinancialReport(String reportType, Date startDate, Date endDate, Map<String, Object> parameters)
    {
        logger.info("开始生成财务报表: reportType={}, startDate={}, endDate={}", reportType, startDate, endDate);
        
        try {
            // 生成报表ID
            String reportId = "RPT_" + reportType + "_" + System.currentTimeMillis();
            
            // 创建报表实例
            ReportInstance reportInstance = new ReportInstance();
            reportInstance.setReportId(reportId);
            reportInstance.setReportName(getReportName(reportType));
            reportInstance.setReportType(reportType);
            reportInstance.setGenerateStatus("GENERATING");
            reportInstance.setGenerateTime(new Date());
            reportInstance.setOutputFormat("JSON");
            reportInstance.setParameters(parametersToString(parameters));
            reportInstance.setUserId(getCurrentUserId(parameters));
            
            reportInstanceMapper.insertReportInstance(reportInstance);
            
            // 异步生成报表数据
            CompletableFuture.runAsync(() -> {
                try {
                    FinancialReportData reportData = generateReportData(reportType, startDate, endDate, parameters);
                    
                    // 更新报表实例状态
                    reportInstance.setGenerateStatus("COMPLETED");
                    reportInstance.setCompleteTime(new Date());
                    reportInstance.setFilePath("/reports/" + reportId + ".json");
                    reportInstanceMapper.updateReportInstance(reportInstance);
                    
                    logger.info("财务报表生成完成: reportId={}", reportId);
                } catch (Exception e) {
                    logger.error("财务报表生成失败: reportId={}", reportId, e);
                    reportInstance.setGenerateStatus("FAILED");
                    reportInstance.setErrorMessage(e.getMessage());
                    reportInstanceMapper.updateReportInstance(reportInstance);
                }
            });
            
            return reportId;
        } catch (Exception e) {
            logger.error("生成财务报表失败", e);
            throw new ServiceException("生成财务报表失败: " + e.getMessage());
        }
    }

    /**
     * 获取财务报表数据
     */
    @Override
    public FinancialReportData getFinancialReportData(String reportType, Date startDate, Date endDate, Map<String, Object> parameters)
    {
        logger.info("获取财务报表数据: reportType={}, startDate={}, endDate={}", reportType, startDate, endDate);
        
        try {
            return generateReportData(reportType, startDate, endDate, parameters);
        } catch (Exception e) {
            logger.error("获取财务报表数据失败", e);
            throw new ServiceException("获取财务报表数据失败: " + e.getMessage());
        }
    }

    /**
     * 生成报表数据
     */
    private FinancialReportData generateReportData(String reportType, Date startDate, Date endDate, Map<String, Object> parameters)
    {
        FinancialReportData reportData = new FinancialReportData();
        reportData.setGenerateTime(new Date());
        reportData.setStartDate(startDate);
        reportData.setEndDate(endDate);

        // 根据报表类型生成不同的数据
        switch (reportType.toUpperCase()) {
            case "CREDIT_SUMMARY":
                reportData.setCreditStatistics(generateCreditStatisticsData(startDate, endDate));
                break;
            case "REVENUE_ANALYSIS":
                reportData.setRevenueAnalysis(generateRevenueAnalysisData(startDate, endDate));
                break;
            case "RISK_ASSESSMENT":
                reportData.setRiskAssessment(generateRiskAssessmentData(parameters));
                break;
            case "TREND_ANALYSIS":
                reportData.setTrendAnalysis(generateTrendAnalysisData(startDate, endDate));
                break;
            case "COMPREHENSIVE":
                // 综合报表包含所有数据
                reportData.setCreditStatistics(generateCreditStatisticsData(startDate, endDate));
                reportData.setRevenueAnalysis(generateRevenueAnalysisData(startDate, endDate));
                reportData.setRiskAssessment(generateRiskAssessmentData(parameters));
                reportData.setTrendAnalysis(generateTrendAnalysisData(startDate, endDate));
                reportData.setCategoryStatistics(generateCategoryStatistics(startDate, endDate));
                reportData.setYearOverYearData(generateYearOverYearData(endDate));
                reportData.setMonthOverMonthData(generateMonthOverMonthData(endDate));
                break;
            default:
                throw new ServiceException("不支持的报表类型: " + reportType);
        }

        return reportData;
    }

    /**
     * 生成债权统计数据
     */
    private CreditStatistics generateCreditStatisticsData(Date startDate, Date endDate)
    {
        CreditStatistics statistics = new CreditStatistics();
        
        // 查询总债权数量和金额
        Long totalCredits = reportAnalyticsMapper.selectTotalCreditCount(startDate, endDate);
        BigDecimal totalAmount = reportAnalyticsMapper.selectTotalCreditAmount(startDate, endDate);
        
        statistics.setTotalCredits(totalCredits != null ? totalCredits : 0L);
        statistics.setTotalAmount(totalAmount != null ? totalAmount : BigDecimal.ZERO);
        
        // 查询已结清债权统计
        Map<String, Object> settledData = reportAnalyticsMapper.selectSettledCreditStatistics(startDate, endDate);
        if (settledData != null) {
            statistics.setSettledCredits(getLongValue(settledData, "count"));
            statistics.setSettledAmount(getBigDecimalValue(settledData, "amount"));
        }
        
        // 查询未结清债权统计
        Map<String, Object> unsettledData = reportAnalyticsMapper.selectUnsettledCreditStatistics(startDate, endDate);
        if (unsettledData != null) {
            statistics.setUnsettledCredits(getLongValue(unsettledData, "count"));
            statistics.setUnsettledAmount(getBigDecimalValue(unsettledData, "amount"));
        }
        
        // 查询逾期债权统计
        Map<String, Object> overdueData = reportAnalyticsMapper.selectOverdueCreditStatistics(startDate, endDate);
        if (overdueData != null) {
            statistics.setOverdueCredits(getLongValue(overdueData, "count"));
            statistics.setOverdueAmount(getBigDecimalValue(overdueData, "amount"));
        }
        
        return statistics;
    }

    /**
     * 生成收益分析数据
     */
    private RevenueAnalysis generateRevenueAnalysisData(Date startDate, Date endDate)
    {
        RevenueAnalysis analysis = new RevenueAnalysis();
        
        // 查询融资收入统计
        Map<String, Object> financingData = reportAnalyticsMapper.selectFinancingRevenueStatistics(startDate, endDate);
        if (financingData != null) {
            analysis.setFinancingRevenue(getBigDecimalValue(financingData, "revenue"));
            analysis.setFinancingCost(getBigDecimalValue(financingData, "cost"));
        }
        
        // 查询服务收入统计
        Map<String, Object> serviceData = reportAnalyticsMapper.selectServiceRevenueStatistics(startDate, endDate);
        if (serviceData != null) {
            analysis.setServiceRevenue(getBigDecimalValue(serviceData, "revenue"));
        }
        
        // 查询成本分析
        Map<String, Object> costData = reportAnalyticsMapper.selectCostAnalysis(startDate, endDate);
        if (costData != null) {
            analysis.setTotalCost(getBigDecimalValue(costData, "totalCost"));
        }
        
        // 计算总收入和净利润
        BigDecimal totalRevenue = safeAdd(analysis.getFinancingRevenue(), analysis.getServiceRevenue());
        BigDecimal totalCost = analysis.getTotalCost() != null ? analysis.getTotalCost() : BigDecimal.ZERO;
        BigDecimal netProfit = totalRevenue.subtract(totalCost);
        
        analysis.setTotalRevenue(totalRevenue);
        analysis.setNetProfit(netProfit);
        
        // 计算利润率
        if (totalRevenue.compareTo(BigDecimal.ZERO) > 0) {
            BigDecimal profitMargin = netProfit.divide(totalRevenue, 4, RoundingMode.HALF_UP).multiply(new BigDecimal("100"));
            analysis.setProfitMargin(profitMargin);
        } else {
            analysis.setProfitMargin(BigDecimal.ZERO);
        }
        
        return analysis;
    }

    /**
     * 生成风险评估数据
     */
    private RiskAssessment generateRiskAssessmentData(Map<String, Object> parameters)
    {
        RiskAssessment assessment = new RiskAssessment();
        
        // 查询风险评估基础数据
        List<Map<String, Object>> riskData = reportAnalyticsMapper.selectRiskAssessmentData("overall", parameters);
        
        if (riskData != null && !riskData.isEmpty()) {
            Map<String, Object> data = riskData.get(0);
            
            // 计算各类风险指标
            BigDecimal creditRisk = calculateCreditRisk(data);
            BigDecimal liquidityRisk = calculateLiquidityRisk(data);
            BigDecimal marketRisk = calculateMarketRisk(data);
            
            assessment.setCreditRisk(creditRisk);
            assessment.setLiquidityRisk(liquidityRisk);
            assessment.setMarketRisk(marketRisk);
            
            // 计算综合风险评分
            Integer riskScore = calculateOverallRiskScore(creditRisk, liquidityRisk, marketRisk);
            assessment.setRiskScore(riskScore);
            
            // 确定风险等级
            String riskLevel = determineRiskLevel(riskScore);
            assessment.setOverallRiskLevel(riskLevel);
            
            // 生成风险建议
            List<String> recommendations = generateRiskRecommendations(riskLevel, creditRisk, liquidityRisk, marketRisk);
            assessment.setRiskRecommendations(recommendations);
        }
        
        return assessment;
    }

    /**
     * 生成趋势分析数据
     */
    private List<TrendData> generateTrendAnalysisData(Date startDate, Date endDate)
    {
        List<TrendData> trendList = new ArrayList<>();
        
        // 查询月度趋势数据
        List<Map<String, Object>> monthlyData = reportAnalyticsMapper.selectMonthlyTrendData(startDate, endDate, "amount");
        
        for (Map<String, Object> data : monthlyData) {
            TrendData trend = new TrendData();
            trend.setTimePoint((Date) data.get("timePoint"));
            trend.setMetricName("债权金额");
            trend.setMetricValue(getBigDecimalValue(data, "metricValue"));
            trend.setChangeRate(getBigDecimalValue(data, "changeRate"));
            trendList.add(trend);
        }
        
        return trendList;
    }

    /**
     * 导出报表
     */
    @Override
    public void exportReport(String reportId, String format, HttpServletResponse response)
    {
        logger.info("导出报表: reportId={}, format={}", reportId, format);
        
        try {
            ReportInstance reportInstance = reportInstanceMapper.selectReportInstanceByReportId(reportId);
            if (reportInstance == null) {
                throw new ServiceException("报表不存在: " + reportId);
            }
            
            // 获取报表数据
            FinancialReportData reportData = getFinancialReportData(
                reportInstance.getReportType(), 
                DateUtils.parseDate("2024-01-01"), 
                new Date(), 
                stringToParameters(reportInstance.getParameters())
            );
            
            switch (format.toLowerCase()) {
                case "excel":
                    exportToExcel(reportData, reportInstance, response);
                    break;
                case "pdf":
                    exportToPdf(reportData, reportInstance, response);
                    break;
                case "word":
                    exportToWord(reportData, reportInstance, response);
                    break;
                default:
                    throw new ServiceException("不支持的导出格式: " + format);
            }
            
        } catch (Exception e) {
            logger.error("导出报表失败: reportId={}", reportId, e);
            throw new ServiceException("导出报表失败: " + e.getMessage());
        }
    }

    /**
     * 导出到Excel
     */
    private void exportToExcel(FinancialReportData reportData, ReportInstance reportInstance, HttpServletResponse response) throws IOException
    {
        Workbook workbook = new XSSFWorkbook();
        
        // 创建债权统计工作表
        if (reportData.getCreditStatistics() != null) {
            createCreditStatisticsSheet(workbook, reportData.getCreditStatistics());
        }
        
        // 创建收益分析工作表
        if (reportData.getRevenueAnalysis() != null) {
            createRevenueAnalysisSheet(workbook, reportData.getRevenueAnalysis());
        }
        
        // 设置响应头
        response.setContentType("application/vnd.openxmlformats-officedocument.spreadsheetml.sheet");
        response.setHeader("Content-Disposition", "attachment; filename=" + reportInstance.getReportId() + ".xlsx");
        
        // 写入响应流
        workbook.write(response.getOutputStream());
        workbook.close();
    }

    /**
     * 创建债权统计工作表
     */
    private void createCreditStatisticsSheet(Workbook workbook, CreditStatistics statistics)
    {
        Sheet sheet = workbook.createSheet("债权统计");
        
        // 创建标题行
        Row headerRow = sheet.createRow(0);
        headerRow.createCell(0).setCellValue("统计项目");
        headerRow.createCell(1).setCellValue("数量");
        headerRow.createCell(2).setCellValue("金额");
        
        // 填充数据
        int rowNum = 1;
        
        Row totalRow = sheet.createRow(rowNum++);
        totalRow.createCell(0).setCellValue("总债权");
        totalRow.createCell(1).setCellValue(statistics.getTotalCredits() != null ? statistics.getTotalCredits() : 0);
        totalRow.createCell(2).setCellValue(statistics.getTotalAmount() != null ? statistics.getTotalAmount().doubleValue() : 0);
        
        Row settledRow = sheet.createRow(rowNum++);
        settledRow.createCell(0).setCellValue("已结清债权");
        settledRow.createCell(1).setCellValue(statistics.getSettledCredits() != null ? statistics.getSettledCredits() : 0);
        settledRow.createCell(2).setCellValue(statistics.getSettledAmount() != null ? statistics.getSettledAmount().doubleValue() : 0);
        
        Row unsettledRow = sheet.createRow(rowNum++);
        unsettledRow.createCell(0).setCellValue("未结清债权");
        unsettledRow.createCell(1).setCellValue(statistics.getUnsettledCredits() != null ? statistics.getUnsettledCredits() : 0);
        unsettledRow.createCell(2).setCellValue(statistics.getUnsettledAmount() != null ? statistics.getUnsettledAmount().doubleValue() : 0);
        
        Row overdueRow = sheet.createRow(rowNum++);
        overdueRow.createCell(0).setCellValue("逾期债权");
        overdueRow.createCell(1).setCellValue(statistics.getOverdueCredits() != null ? statistics.getOverdueCredits() : 0);
        overdueRow.createCell(2).setCellValue(statistics.getOverdueAmount() != null ? statistics.getOverdueAmount().doubleValue() : 0);
    }

    /**
     * 创建收益分析工作表
     */
    private void createRevenueAnalysisSheet(Workbook workbook, RevenueAnalysis analysis)
    {
        Sheet sheet = workbook.createSheet("收益分析");
        
        // 创建标题行
        Row headerRow = sheet.createRow(0);
        headerRow.createCell(0).setCellValue("收益项目");
        headerRow.createCell(1).setCellValue("金额");
        
        // 填充数据
        int rowNum = 1;
        
        Row totalRevenueRow = sheet.createRow(rowNum++);
        totalRevenueRow.createCell(0).setCellValue("总收入");
        totalRevenueRow.createCell(1).setCellValue(analysis.getTotalRevenue() != null ? analysis.getTotalRevenue().doubleValue() : 0);
        
        Row totalCostRow = sheet.createRow(rowNum++);
        totalCostRow.createCell(0).setCellValue("总成本");
        totalCostRow.createCell(1).setCellValue(analysis.getTotalCost() != null ? analysis.getTotalCost().doubleValue() : 0);
        
        Row netProfitRow = sheet.createRow(rowNum++);
        netProfitRow.createCell(0).setCellValue("净利润");
        netProfitRow.createCell(1).setCellValue(analysis.getNetProfit() != null ? analysis.getNetProfit().doubleValue() : 0);
        
        Row profitMarginRow = sheet.createRow(rowNum++);
        profitMarginRow.createCell(0).setCellValue("利润率(%)");
        profitMarginRow.createCell(1).setCellValue(analysis.getProfitMargin() != null ? analysis.getProfitMargin().doubleValue() : 0);
    }

    /**
     * 导出到PDF (简化实现)
     */
    private void exportToPdf(FinancialReportData reportData, ReportInstance reportInstance, HttpServletResponse response)
    {
        // 这里应该使用PDF库如iText来生成PDF
        // 为了简化，暂时返回错误
        throw new ServiceException("PDF导出功能正在开发中");
    }

    /**
     * 导出到Word (简化实现)
     */
    private void exportToWord(FinancialReportData reportData, ReportInstance reportInstance, HttpServletResponse response)
    {
        // 这里应该使用Word库如Apache POI来生成Word文档
        // 为了简化，暂时返回错误
        throw new ServiceException("Word导出功能正在开发中");
    }

    /**
     * 生成债权统计报表
     */
    @Override
    public Map<String, Object> generateCreditStatistics(Date startDate, Date endDate, String groupBy)
    {
        logger.info("生成债权统计报表: startDate={}, endDate={}, groupBy={}", startDate, endDate, groupBy);
        
        try {
            List<Map<String, Object>> statistics = reportAnalyticsMapper.selectCreditStatistics(startDate, endDate, groupBy);
            
            Map<String, Object> result = new HashMap<>();
            result.put("statistics", statistics);
            result.put("generateTime", new Date());
            result.put("totalRecords", statistics.size());
            
            return result;
        } catch (Exception e) {
            logger.error("生成债权统计报表失败", e);
            throw new ServiceException("生成债权统计报表失败: " + e.getMessage());
        }
    }

    /**
     * 生成收益分析报表
     */
    @Override
    public Map<String, Object> generateRevenueAnalysis(Date startDate, Date endDate, String analysisType)
    {
        logger.info("生成收益分析报表: startDate={}, endDate={}, analysisType={}", startDate, endDate, analysisType);
        
        try {
            List<Map<String, Object>> analysis = reportAnalyticsMapper.selectRevenueAnalysis(startDate, endDate, analysisType);
            
            Map<String, Object> result = new HashMap<>();
            result.put("analysis", analysis);
            result.put("generateTime", new Date());
            result.put("analysisType", analysisType);
            
            return result;
        } catch (Exception e) {
            logger.error("生成收益分析报表失败", e);
            throw new ServiceException("生成收益分析报表失败: " + e.getMessage());
        }
    }

    /**
     * 执行风险评估
     */
    @Override
    public Map<String, Object> performRiskAssessment(String assessmentType, Map<String, Object> parameters)
    {
        logger.info("执行风险评估: assessmentType={}", assessmentType);
        
        try {
            List<Map<String, Object>> riskData = reportAnalyticsMapper.selectRiskAssessmentData(assessmentType, parameters);
            
            Map<String, Object> result = new HashMap<>();
            result.put("assessmentType", assessmentType);
            result.put("riskData", riskData);
            result.put("assessmentTime", new Date());
            
            // 计算风险评分和等级
            if (!riskData.isEmpty()) {
                Map<String, Object> data = riskData.get(0);
                Integer riskScore = calculateRiskScore(data, assessmentType);
                String riskLevel = determineRiskLevel(riskScore);
                
                result.put("riskScore", riskScore);
                result.put("riskLevel", riskLevel);
                result.put("recommendations", generateRiskRecommendations(riskLevel, assessmentType));
            }
            
            return result;
        } catch (Exception e) {
            logger.error("执行风险评估失败", e);
            throw new ServiceException("执行风险评估失败: " + e.getMessage());
        }
    }

    /**
     * 生成趋势预测
     */
    @Override
    public Map<String, Object> generateTrendPrediction(String metric, List<Map<String, Object>> historicalData, String algorithm)
    {
        logger.info("生成趋势预测: metric={}, algorithm={}", metric, algorithm);
        
        try {
            Map<String, Object> result = new HashMap<>();
            result.put("metric", metric);
            result.put("algorithm", algorithm);
            result.put("predictionTime", new Date());
            
            // 简化的趋势预测实现
            List<Map<String, Object>> predictions = new ArrayList<>();
            
            if (historicalData != null && !historicalData.isEmpty()) {
                // 基于历史数据进行简单的线性预测
                predictions = performLinearPrediction(historicalData, 6); // 预测未来6个月
            }
            
            result.put("predictions", predictions);
            result.put("confidence", calculatePredictionConfidence(historicalData));
            
            return result;
        } catch (Exception e) {
            logger.error("生成趋势预测失败", e);
            throw new ServiceException("生成趋势预测失败: " + e.getMessage());
        }
    }

    /**
     * 创建自定义仪表板
     */
    @Override
    @Transactional
    public String createCustomDashboard(Long userId, String dashboardName, List<DashboardWidget> widgets)
    {
        logger.info("创建自定义仪表板: userId={}, dashboardName={}", userId, dashboardName);
        
        try {
            String dashboardId = "DB_" + System.currentTimeMillis();
            
            // 设置仪表板ID和用户ID
            for (DashboardWidget widget : widgets) {
                widget.setDashboardId(dashboardId);
                widget.setUserId(userId);
                widget.setWidgetStatus("ACTIVE");
                widget.setCreateTime(new Date());
            }
            
            // 批量插入组件
            if (!widgets.isEmpty()) {
                dashboardWidgetMapper.batchInsertDashboardWidgets(widgets);
            }
            
            logger.info("自定义仪表板创建成功: dashboardId={}", dashboardId);
            return dashboardId;
        } catch (Exception e) {
            logger.error("创建自定义仪表板失败", e);
            throw new ServiceException("创建自定义仪表板失败: " + e.getMessage());
        }
    }

    /**
     * 获取仪表板数据
     */
    @Override
    public Map<String, Object> getDashboardData(String dashboardId, Long userId)
    {
        logger.info("获取仪表板数据: dashboardId={}, userId={}", dashboardId, userId);
        
        try {
            Map<String, Object> result = new HashMap<>();
            
            // 获取仪表板组件
            List<DashboardWidget> widgets = dashboardWidgetMapper.selectWidgetsByDashboardId(dashboardId, userId);
            
            Map<String, Object> widgetData = new HashMap<>();
            
            for (DashboardWidget widget : widgets) {
                // 根据组件类型获取数据
                Map<String, Object> data = getWidgetData(widget);
                widgetData.put(widget.getWidgetId().toString(), data);
            }
            
            result.put("dashboardId", dashboardId);
            result.put("widgets", widgets);
            result.put("widgetData", widgetData);
            result.put("updateTime", new Date());
            
            return result;
        } catch (Exception e) {
            logger.error("获取仪表板数据失败", e);
            throw new ServiceException("获取仪表板数据失败: " + e.getMessage());
        }
    }

    // 辅助方法实现

    private String getReportName(String reportType)
    {
        switch (reportType.toUpperCase()) {
            case "CREDIT_SUMMARY": return "债权汇总报表";
            case "REVENUE_ANALYSIS": return "收益分析报表";
            case "RISK_ASSESSMENT": return "风险评估报表";
            case "TREND_ANALYSIS": return "趋势分析报表";
            case "COMPREHENSIVE": return "综合财务报表";
            default: return "财务报表";
        }
    }

    private Long getCurrentUserId(Map<String, Object> parameters)
    {
        if (parameters != null && parameters.containsKey("userId")) {
            return Long.valueOf(parameters.get("userId").toString());
        }
        return 1L; // 默认用户ID
    }

    private String parametersToString(Map<String, Object> parameters)
    {
        if (parameters == null || parameters.isEmpty()) {
            return "{}";
        }
        // 简化实现，实际应该使用JSON序列化
        return parameters.toString();
    }

    private Map<String, Object> stringToParameters(String parametersStr)
    {
        Map<String, Object> parameters = new HashMap<>();
        // 简化实现，实际应该使用JSON反序列化
        return parameters;
    }

    private Long getLongValue(Map<String, Object> data, String key)
    {
        Object value = data.get(key);
        if (value instanceof Number) {
            return ((Number) value).longValue();
        }
        return 0L;
    }

    private BigDecimal getBigDecimalValue(Map<String, Object> data, String key)
    {
        Object value = data.get(key);
        if (value instanceof BigDecimal) {
            return (BigDecimal) value;
        } else if (value instanceof Number) {
            return new BigDecimal(value.toString());
        }
        return BigDecimal.ZERO;
    }

    private BigDecimal safeAdd(BigDecimal a, BigDecimal b)
    {
        BigDecimal valueA = a != null ? a : BigDecimal.ZERO;
        BigDecimal valueB = b != null ? b : BigDecimal.ZERO;
        return valueA.add(valueB);
    }

    private BigDecimal calculateCreditRisk(Map<String, Object> data)
    {
        // 简化的信用风险计算
        Long overdueCount = getLongValue(data, "overdueCount");
        Long totalCount = getLongValue(data, "totalCount");
        
        if (totalCount > 0) {
            return new BigDecimal(overdueCount).divide(new BigDecimal(totalCount), 4, RoundingMode.HALF_UP);
        }
        return BigDecimal.ZERO;
    }

    private BigDecimal calculateLiquidityRisk(Map<String, Object> data)
    {
        // 简化的流动性风险计算
        return new BigDecimal("0.15"); // 假设15%的流动性风险
    }

    private BigDecimal calculateMarketRisk(Map<String, Object> data)
    {
        // 简化的市场风险计算
        return new BigDecimal("0.10"); // 假设10%的市场风险
    }

    private Integer calculateOverallRiskScore(BigDecimal creditRisk, BigDecimal liquidityRisk, BigDecimal marketRisk)
    {
        // 综合风险评分计算 (0-100分)
        BigDecimal totalRisk = creditRisk.multiply(new BigDecimal("0.5"))
                              .add(liquidityRisk.multiply(new BigDecimal("0.3")))
                              .add(marketRisk.multiply(new BigDecimal("0.2")));
        
        return totalRisk.multiply(new BigDecimal("100")).intValue();
    }

    private String determineRiskLevel(Integer riskScore)
    {
        if (riskScore <= 20) return "低风险";
        else if (riskScore <= 50) return "中等风险";
        else if (riskScore <= 80) return "高风险";
        else return "极高风险";
    }

    private List<String> generateRiskRecommendations(String riskLevel, BigDecimal creditRisk, BigDecimal liquidityRisk, BigDecimal marketRisk)
    {
        List<String> recommendations = new ArrayList<>();
        
        switch (riskLevel) {
            case "低风险":
                recommendations.add("继续保持当前风险管理策略");
                recommendations.add("可适当扩大业务规模");
                break;
            case "中等风险":
                recommendations.add("加强风险监控和预警");
                recommendations.add("优化资金配置结构");
                break;
            case "高风险":
                recommendations.add("立即启动风险应急预案");
                recommendations.add("收紧信贷政策");
                recommendations.add("增加风险准备金");
                break;
            case "极高风险":
                recommendations.add("暂停新增业务");
                recommendations.add("全面风险排查");
                recommendations.add("寻求外部支持");
                break;
        }
        
        return recommendations;
    }

    private List<String> generateRiskRecommendations(String riskLevel, String assessmentType)
    {
        return Arrays.asList("建议加强" + assessmentType + "风险管控", "定期进行风险评估");
    }

    private Integer calculateRiskScore(Map<String, Object> data, String assessmentType)
    {
        // 简化的风险评分计算
        return 65; // 默认中等风险评分
    }

    private List<Map<String, Object>> performLinearPrediction(List<Map<String, Object>> historicalData, int periods)
    {
        List<Map<String, Object>> predictions = new ArrayList<>();
        
        // 简化的线性预测实现
        for (int i = 1; i <= periods; i++) {
            Map<String, Object> prediction = new HashMap<>();
            prediction.put("period", i);
            prediction.put("predictedValue", 1000000 + i * 50000); // 简化预测值
            predictions.add(prediction);
        }
        
        return predictions;
    }

    private Double calculatePredictionConfidence(List<Map<String, Object>> historicalData)
    {
        // 简化的置信度计算
        return 0.85; // 85%置信度
    }

    private Map<String, Object> getWidgetData(DashboardWidget widget)
    {
        Map<String, Object> data = new HashMap<>();
        
        // 根据组件类型返回不同的数据
        switch (widget.getWidgetType()) {
            case "CREDIT_COUNT":
                data.put("value", 150);
                data.put("trend", "+5%");
                break;
            case "TOTAL_AMOUNT":
                data.put("value", "5,000,000");
                data.put("trend", "+8%");
                break;
            case "RISK_LEVEL":
                data.put("value", "中等");
                data.put("score", 65);
                break;
            default:
                data.put("value", "N/A");
        }
        
        return data;
    }

    private Map<String, Object> generateCategoryStatistics(Date startDate, Date endDate)
    {
        Map<String, Object> statistics = new HashMap<>();
        
        // 合同状态分布
        List<Map<String, Object>> statusDistribution = reportAnalyticsMapper.selectContractStatusDistribution(startDate, endDate);
        statistics.put("contractStatusDistribution", statusDistribution);
        
        // 公司维度统计
        List<Map<String, Object>> companyStats = reportAnalyticsMapper.selectCompanyDimensionStatistics(startDate, endDate, "security");
        statistics.put("companyStatistics", companyStats);
        
        return statistics;
    }

    private Map<String, Object> generateYearOverYearData(Date currentDate)
    {
        return reportAnalyticsMapper.selectYearOverYearData(currentDate, "amount");
    }

    private Map<String, Object> generateMonthOverMonthData(Date currentDate)
    {
        return reportAnalyticsMapper.selectMonthOverMonthData(currentDate, "amount");
    }

    // 其他接口方法的简化实现

    @Override
    public boolean scheduleReportGeneration(ReportConfig reportConfig)
    {
        // 定时报表生成的简化实现
        logger.info("定时生成报表: {}", reportConfig.getReportName());
        return true;
    }

    @Override
    public Map<String, Object> aggregateStatistics(String dataSource, String groupBy, List<String> aggregateFields, Map<String, Object> filters)
    {
        // 聚合统计的简化实现
        Map<String, Object> result = new HashMap<>();
        result.put("dataSource", dataSource);
        result.put("aggregateTime", new Date());
        return result;
    }

    @Override
    public Map<String, Object> calculateMetrics(String metricType, String timeRange, Map<String, Object> parameters)
    {
        // 指标计算的简化实现
        Map<String, Object> result = new HashMap<>();
        result.put("metricType", metricType);
        result.put("calculateTime", new Date());
        return result;
    }

    @Override
    public ReportInstance getReportInstance(String reportId)
    {
        return reportInstanceMapper.selectReportInstanceByReportId(reportId);
    }

    @Override
    public List<ReportInstance> getReportList(Long userId, String reportType, String status)
    {
        return reportInstanceMapper.selectReportInstanceByUserAndType(userId, reportType, status);
    }

    @Override
    public boolean deleteReport(String reportId)
    {
        int result = reportInstanceMapper.deleteReportInstanceByReportId(reportId);
        return result > 0;
    }

    @Override
    public Map<String, Object> getVisualizationConfig(String chartType, String dataSource, Map<String, Object> parameters)
    {
        // 数据可视化配置的简化实现
        Map<String, Object> config = new HashMap<>();
        config.put("chartType", chartType);
        config.put("dataSource", dataSource);
        return config;
    }

    @Override
    public Map<String, Object> generateIntelligentAnalysis(String analysisType, String dataRange, Map<String, Object> parameters)
    {
        // 智能分析的简化实现
        Map<String, Object> result = new HashMap<>();
        result.put("analysisType", analysisType);
        result.put("analysisTime", new Date());
        return result;
    }
}