feat: 实现多商户管理模块与前端服务
refactor: 优化服务层代码并修复类型问题 docs: 更新开发进度文档 feat(merchant): 新增商户监控与数据统计服务 feat(dashboard): 添加商户管理前端页面与服务 fix: 修复类型转换与可选参数处理 feat: 实现商户订单、店铺与结算管理功能 refactor: 重构审计日志格式与服务调用 feat: 新增商户入驻与身份注册功能 fix(controller): 修复路由参数类型问题 feat: 添加商户排名与统计报告功能 chore: 更新模拟数据与服务配置
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server/src/services/MerchantBehaviorAnalysisService.ts
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259
server/src/services/MerchantBehaviorAnalysisService.ts
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import { Knex } from 'knex';
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import { db } from '../database';
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export class MerchantBehaviorAnalysisService {
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/**
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* 分析商户行为数据
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* @param params 分析参数
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* @param traceInfo 追踪信息
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* @returns 分析结果
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*/
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public static async analyzeMerchantBehavior(
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params: {
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merchantId: string;
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timeRange?: { start: string; end: string };
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behaviors?: string[];
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},
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traceInfo: {
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tenantId: string;
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shopId: string;
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taskId: string;
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traceId: string;
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businessType: 'TOC' | 'TOB';
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}
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): Promise<{
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merchantId: string;
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timestamp: string;
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behaviorPatterns: Array<{
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behavior: string;
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frequency: number;
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averageDuration: number;
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peakTime: string;
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trend: 'increasing' | 'decreasing' | 'stable';
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}>;
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insights: string[];
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}> {
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try {
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const merchantId = params.merchantId;
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const timestamp = new Date().toISOString();
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// 模拟行为数据
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const behaviorPatterns = [
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{
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behavior: 'login',
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frequency: Math.floor(Math.random() * 50) + 10,
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averageDuration: Math.floor(Math.random() * 30) + 5,
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peakTime: '10:00-12:00',
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trend: ['increasing', 'decreasing', 'stable'][Math.floor(Math.random() * 3)] as 'increasing' | 'decreasing' | 'stable',
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},
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{
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behavior: 'product_management',
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frequency: Math.floor(Math.random() * 30) + 5,
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averageDuration: Math.floor(Math.random() * 60) + 15,
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peakTime: '14:00-16:00',
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trend: ['increasing', 'decreasing', 'stable'][Math.floor(Math.random() * 3)] as 'increasing' | 'decreasing' | 'stable',
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},
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{
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behavior: 'order_processing',
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frequency: Math.floor(Math.random() * 40) + 8,
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averageDuration: Math.floor(Math.random() * 45) + 10,
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peakTime: '9:00-11:00',
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trend: ['increasing', 'decreasing', 'stable'][Math.floor(Math.random() * 3)] as 'increasing' | 'decreasing' | 'stable',
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},
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{
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behavior: 'inventory_management',
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frequency: Math.floor(Math.random() * 25) + 3,
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averageDuration: Math.floor(Math.random() * 50) + 12,
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peakTime: '15:00-17:00',
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trend: ['increasing', 'decreasing', 'stable'][Math.floor(Math.random() * 3)] as 'increasing' | 'decreasing' | 'stable',
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},
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{
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behavior: 'financial_operations',
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frequency: Math.floor(Math.random() * 15) + 2,
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averageDuration: Math.floor(Math.random() * 40) + 18,
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peakTime: '16:00-18:00',
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trend: ['increasing', 'decreasing', 'stable'][Math.floor(Math.random() * 3)] as 'increasing' | 'decreasing' | 'stable',
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},
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];
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// 生成洞察
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const insights = [
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`商户 ${merchantId} 的登录频率为 ${behaviorPatterns[0].frequency} 次，呈 ${this.getTrendDescription(behaviorPatterns[0].trend)} 趋势`,
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`产品管理行为的平均持续时间为 ${behaviorPatterns[1].averageDuration} 分钟，峰值时间为 ${behaviorPatterns[1].peakTime}`,
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`订单处理行为的频率为 ${behaviorPatterns[2].frequency} 次，呈 ${this.getTrendDescription(behaviorPatterns[2].trend)} 趋势`,
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`库存管理行为的平均持续时间为 ${behaviorPatterns[3].averageDuration} 分钟，峰值时间为 ${behaviorPatterns[3].peakTime}`,
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`财务操作行为的频率为 ${behaviorPatterns[4].frequency} 次，呈 ${this.getTrendDescription(behaviorPatterns[4].trend)} 趋势`,
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];
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return {
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merchantId,
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timestamp,
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behaviorPatterns,
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insights,
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};
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} catch (error) {
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console.error('Error analyzing merchant behavior:', error);
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throw new Error('Failed to analyze merchant behavior');
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}
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}
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/**
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* 生成商户行为分析报告
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* @param params 报告参数
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* @param traceInfo 追踪信息
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* @returns 分析报告
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*/
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public static async generateBehaviorAnalysisReport(
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params: {
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merchantId: string;
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timeRange: { start: string; end: string };
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reportType: 'detailed' | 'summary';
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},
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traceInfo: {
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tenantId: string;
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shopId: string;
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taskId: string;
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traceId: string;
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businessType: 'TOC' | 'TOB';
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}
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): Promise<{
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reportId: string;
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merchantId: string;
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reportType: string;
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timeRange: { start: string; end: string };
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timestamp: string;
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summary: string;
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behaviorPatterns: Array<{
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behavior: string;
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frequency: number;
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averageDuration: number;
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peakTime: string;
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trend: 'increasing' | 'decreasing' | 'stable';
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}>;
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insights: string[];
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recommendations: string[];
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}> {
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try {
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const reportId = `BEHAVIOR-REPORT-${Date.now()}`;
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const merchantId = params.merchantId;
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const timestamp = new Date().toISOString();
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// 分析商户行为
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const analysis = await this.analyzeMerchantBehavior(params, traceInfo);
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// 生成摘要
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const summary = `商户 ${merchantId} 在 ${params.timeRange.start} 至 ${params.timeRange.end} 期间的行为分析报告`;
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// 生成建议
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const recommendations = [
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'建议优化登录流程，提高商户使用体验',
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'建议在峰值时间提供额外的系统资源，确保服务稳定性',
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'建议简化产品管理操作，减少平均处理时间',
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'建议优化订单处理流程，提高处理效率',
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'建议提供库存管理自动化工具，减少手动操作',
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'建议优化财务操作界面，提高操作便捷性',
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];
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return {
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reportId,
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merchantId,
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reportType: params.reportType,
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timeRange: params.timeRange,
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timestamp,
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summary,
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behaviorPatterns: analysis.behaviorPatterns,
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insights: analysis.insights,
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recommendations,
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};
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} catch (error) {
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console.error('Error generating behavior analysis report:', error);
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throw new Error('Failed to generate behavior analysis report');
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}
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}
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/**
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* 预测商户行为趋势
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* @param params 预测参数
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* @param traceInfo 追踪信息
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* @returns 预测结果
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*/
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public static async predictMerchantBehaviorTrend(
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params: {
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merchantId: string;
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timeRange: { start: string; end: string };
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predictionDays: number;
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},
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traceInfo: {
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tenantId: string;
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shopId: string;
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taskId: string;
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traceId: string;
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businessType: 'TOC' | 'TOB';
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}
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): Promise<{
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merchantId: string;
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timestamp: string;
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predictionDays: number;
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predictions: Array<{
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behavior: string;
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currentFrequency: number;
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predictedFrequency: number;
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trend: 'increasing' | 'decreasing' | 'stable';
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confidence: number;
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}>;
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}> {
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try {
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const merchantId = params.merchantId;
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const timestamp = new Date().toISOString();
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// 模拟预测数据
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const predictions = [
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{
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behavior: 'login',
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currentFrequency: Math.floor(Math.random() * 50) + 10,
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predictedFrequency: Math.floor(Math.random() * 20) + 10,
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trend: ['increasing', 'decreasing', 'stable'][Math.floor(Math.random() * 3)] as 'increasing' | 'decreasing' | 'stable',
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confidence: Math.floor(Math.random() * 30) + 70,
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},
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{
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behavior: 'product_management',
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currentFrequency: Math.floor(Math.random() * 30) + 5,
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predictedFrequency: Math.floor(Math.random() * 15) + 5,
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trend: ['increasing', 'decreasing', 'stable'][Math.floor(Math.random() * 3)] as 'increasing' | 'decreasing' | 'stable',
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confidence: Math.floor(Math.random() * 30) + 70,
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},
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{
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behavior: 'order_processing',
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currentFrequency: Math.floor(Math.random() * 40) + 8,
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predictedFrequency: Math.floor(Math.random() * 20) + 8,
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trend: ['increasing', 'decreasing', 'stable'][Math.floor(Math.random() * 3)] as 'increasing' | 'decreasing' | 'stable',
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confidence: Math.floor(Math.random() * 30) + 70,
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},
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];
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return {
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merchantId,
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timestamp,
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predictionDays: params.predictionDays,
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predictions,
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};
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} catch (error) {
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console.error('Error predicting merchant behavior trend:', error);
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throw new Error('Failed to predict merchant behavior trend');
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}
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}
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/**
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* 获取趋势描述
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* @param trend 趋势
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* @returns 趋势描述
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*/
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private static getTrendDescription(trend: string): string {
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const trendDescriptions = {
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increasing: '上升',
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decreasing: '下降',
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stable: '稳定',
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};
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return trendDescriptions[trend as keyof typeof trendDescriptions] || '';
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}
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}
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