543 lines
24 KiB
Java
543 lines
24 KiB
Java
package com.rj.scheduler;
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import com.rj.entity.CustomerProfileAnalysis;
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import com.rj.service.biz.impl.CustomerProfileAnalysisServiceImpl;
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import lombok.extern.slf4j.Slf4j;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.scheduling.annotation.Scheduled;
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import org.springframework.stereotype.Component;
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import java.time.LocalDateTime;
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import java.time.format.DateTimeFormatter;
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import java.util.concurrent.ThreadLocalRandom;
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/**
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* 客户画像分析数据定时生成器
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* 每天凌晨2:30插入模拟的客户画像分析数据
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*
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* Author: 李中华 wx: spllzh email(qq): 28668817@qq.com
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* Date: 2025/1/3
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*/
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@Slf4j
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@Component
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public class CustomerProfileMockInsertDataScheduler {
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// @Autowired
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// private ICustomerProfileAnalysisService customerProfileAnalysisService;
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@Autowired
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CustomerProfileAnalysisServiceImpl customerProfileAnalysisService;;
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// 项目数据 - 来自适配准真实.sql的project_management JSON
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private static final String[][] PROJECTS = {
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{"1957424785875087363", "奔驰C级销售项目"},
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{"1957424785875087364", "奥迪A4L项目"},
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{"1957424785875087365", "宝马3系项目"},
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{"1957424785875087366", "雷克萨斯RX项目"},
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{"1957424785875087367", "保时捷911项目"},
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{"1957424785875087368", "威兹曼GT项目"}
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};
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// 销售顾问数据 - 来自适配准真实.sql的sales_management JSON
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private static final String[][] SALES_PEOPLE = {
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{"1957424800000000001", "张明"},
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{"1957424800000000002", "李华"},
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{"1957424800000000003", "王强"},
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{"1957424800000000004", "刘芳"},
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{"1957424800000000005", "陈军"},
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{"1957424800000000006", "赵敏"},
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{"1957424800000000007", "孙丽"},
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{"1957424800000000008", "周涛"}
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};
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// 经销商门店数据 - 来自适配准真实.sql的经销商门店JSON
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private static final String[][] DEALERSHIPS = {
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{"华南区", "1957424710587330562", "广州奔驰4S店"},
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{"华北区", "1957424711560409089", "北京奥迪4S店"},
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{"华南区","1957424714953601026", "上海宝马4S店"},
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{"华南区","1957424739267981313", "深圳雷克萨斯4S店"},
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{"西南区","1957424740000000001", "成都保时捷4S店"},
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{"西南区","1957424740000000017", "昆明威兹曼4S店"}
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};
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// 大区数据 - 确保数据分布均衡
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private static final String[] BIG_AREAS = {
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"华北区", "华东区", "华南区", "华中区", "西南区", "西北区", "东北区"
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};
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// 单向开口率数据 - 来自适配准真实.sql的单向开口率JSON
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private static final String[][] OPENING_RATES = {
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{"1957424800000000001", "沃尔沃M90续航亮点"},
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{"1957424800000000002", "lexus RX350智能互联"},
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{"1957424800000000003", "别克品牌主张"},
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{"1957424800000000004", "lexusRX470刹车问题"}
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};
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// 客户姓名库
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private static final String[] CUSTOMER_NAMES = {
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"王小明", "李小红", "张伟", "刘敏", "陈强", "杨丽", "赵刚", "黄娟",
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"周杰", "吴芳", "徐磊", "孙静", "马超", "朱琳", "胡军", "郭娜",
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"何涛", "罗雪", "高飞", "梁梅", "宋波", "唐丽", "韩强", "冯敏",
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"邓伟", "曹静", "彭军", "蒋娜", "薛涛", "方丽", "石强", "顾敏"
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};
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// 客户电话前缀
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private static final String[] PHONE_PREFIXES = {
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"138", "139", "150", "151", "152", "158", "159", "188", "189"
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};
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// 购买类型
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private static final String[] PURCHASE_TYPES = {"新购", "置换", "增购"};
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// 付款方式
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private static final String[] PAYMENT_WAYS = {"贷款", "全款", "分期"};
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// 竞品品牌
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private static final String[] COMPETITOR_BRANDS = {"奔驰", "宝马", "奥迪", "雷克萨斯", "保时捷", "威兹曼"};
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// 购车用途
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private static final String[] VEHICLE_USAGES = {"家用", "商用", "代步"};
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// 实际驾驶人
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private static final String[] PRIMARY_DRIVERS = {"本人", "家人", "其他"};
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// 教育水平
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private static final String[] EDUCATION_LEVELS = {"高中", "大专", "本科", "硕士", "博士"};
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// 家庭结构
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private static final String[] FAMILY_COMPOSITIONS = {"单身", "已婚无子女", "已婚有子女", "离异"};
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// 职业
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private static final String[] JOB_TITLES = {"教师", "工程师", "医生", "律师", "销售", "经理", "公务员", "自由职业"};
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// 企业性质
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private static final String[] COMPANY_TYPES = {"民营企业", "国企", "外企", "事业单位", "政府机关"};
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// 所属行业
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private static final String[] INDUSTRY_SECTORS = {"教育", "互联网", "金融", "制造业", "医疗", "房地产", "零售", "服务业"};
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// 兴趣点
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private static final String[] INTEREST_FOCUSES = {"智能驾驶", "油耗", "空间", "外观", "内饰", "动力", "安全", "环保"};
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// 顾虑点
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private static final String[] CONCERN_POINTS = {"保养成本", "保值率", "维修费用", "保险费用", "充电便利性", "续航里程"};
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// 情感倾向
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private static final String[] EMOTION_TENDENCIES = {"积极", "中性", "消极"};
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/**
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* 每天凌晨2:30执行客户画像数据生成任务
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*/
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@Scheduled(cron = "0 30 2 * * ?")
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public void generateDailyCustomerProfileData() {
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try {
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log.info("开始执行客户画像数据生成任务...");
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// 生成今天的数据
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LocalDateTime today = LocalDateTime.now().minusDays(0);
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int todayCount = generateCustomerProfileDataForDate(today);
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// 生成昨天的数据
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LocalDateTime yesterday = LocalDateTime.now().minusDays(1);
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int count = generateCustomerProfileDataForDate(yesterday);
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// 生成前天天的数据
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LocalDateTime yesterday2 = LocalDateTime.now().minusDays(2);
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int count2 = generateCustomerProfileDataForDate(yesterday2);
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log.info("客户画像数据生成任务执行完成，生成日期：{}，生成记录数：{}",
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yesterday.format(DateTimeFormatter.ofPattern("yyyy-MM-dd")), count);
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log.info("客户画像数据生成任务执行完成，生成日期：{}，生成记录数：{}",
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today.format(DateTimeFormatter.ofPattern("yyyy-MM-dd")), todayCount);
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} catch (Exception e) {
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log.error("客户画像数据生成任务执行失败", e);
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}
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}
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/**
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* 为指定日期生成客户画像数据
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*
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* @param date 要生成数据的日期
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* @return 生成的记录数
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*/
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public int generateCustomerProfileDataForDate(LocalDateTime date) {
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try {
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log.info("开始为日期 {} 生成客户画像数据", date.format(DateTimeFormatter.ofPattern("yyyy-MM-dd")));
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// 每天生成20-50条记录，确保数据分布均匀
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int recordCount = ThreadLocalRandom.current().nextInt(30, 50);
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int successCount = 0;
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for (int i = 0; i < recordCount; i++) {
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try {
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CustomerProfileAnalysis analysis = createRandomCustomerProfileAnalysis(date);
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boolean result = customerProfileAnalysisService.save(analysis);
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if (result) {
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successCount++;
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log.debug("成功生成第{}条客户画像数据 - 客户：{}，门店：{}，项目：{}",
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i + 1, analysis.getClientName(), analysis.getDealerName(), analysis.getProjectName());
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} else {
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log.warn("保存第{}条客户画像数据失败", i + 1);
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}
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} catch (Exception e) {
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log.error("生成第{}条客户画像数据失败", i + 1, e);
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}
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}
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log.info("为日期 {} 生成客户画像数据完成，成功生成记录数：{}",
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date.format(DateTimeFormatter.ofPattern("yyyy-MM-dd")), successCount);
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return successCount;
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} catch (Exception e) {
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log.error("为日期 {} 生成客户画像数据失败", date.format(DateTimeFormatter.ofPattern("yyyy-MM-dd")), e);
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throw e;
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}
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}
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/**
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* 创建随机的客户画像分析数据
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*
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* @param baseDate 基础日期
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* @return 客户画像分析对象
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*/
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private CustomerProfileAnalysis createRandomCustomerProfileAnalysis(LocalDateTime baseDate) {
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CustomerProfileAnalysis analysis = new CustomerProfileAnalysis();
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ThreadLocalRandom random = ThreadLocalRandom.current();
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// 基础字段
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analysis.setProfileAnalysisRecordId("AI_" + System.currentTimeMillis() + "_" + random.nextInt(1000, 9999));
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analysis.setAnalysisSceneType(random.nextInt(1, 5)); // 1-4随机
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analysis.setRelatedBusinessId("BIZ_" + System.currentTimeMillis() + "_" + random.nextInt(1000, 9999));
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// 随机选择经销商、项目、销售顾问、开口率，确保分布均匀
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String[] dealership = DEALERSHIPS[random.nextInt(DEALERSHIPS.length)];
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String[] project = PROJECTS[random.nextInt(PROJECTS.length)];
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String[] salesPerson = SALES_PEOPLE[random.nextInt(SALES_PEOPLE.length)];
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String[] openingRate = OPENING_RATES[random.nextInt(OPENING_RATES.length)];
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// 设置经销商信息
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analysis.setBigArea(dealership[0]);
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analysis.setDealerCode(dealership[1]);
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analysis.setDealerName(dealership[2]);
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// 设置项目信息
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analysis.setProjectId(project[0]);
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analysis.setProjectName(project[1]);
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// 设置销售顾问信息
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analysis.setSalesPersonId(salesPerson[0]);
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analysis.setSalesPersonName(salesPerson[1]);
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// 生成唯一ID
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long timestamp = System.currentTimeMillis();
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int randomSuffix = random.nextInt(1000, 9999);
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analysis.setOpportunityId("OPP_" + timestamp + "_" + randomSuffix);
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analysis.setClientId("CLIENT_" + timestamp + "_" + randomSuffix);
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// 客户信息
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analysis.setClientName(CUSTOMER_NAMES[random.nextInt(CUSTOMER_NAMES.length)]);
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analysis.setClientPhone(generateRandomPhone());
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// 沟通时间 - 在基础日期的随机时间
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LocalDateTime interactionTime = baseDate
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.withHour(random.nextInt(9, 18)) // 9-17点
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.withMinute(random.nextInt(0, 60))
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.withSecond(random.nextInt(0, 60));
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analysis.setInteractionDate(interactionTime);
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// 客户画像信息字段
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analysis.setPurchaseDate(String.valueOf(random.nextInt(1, 91))); // 1-90天
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analysis.setPurchaseType(PURCHASE_TYPES[random.nextInt(PURCHASE_TYPES.length)]);
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analysis.setPaymentWay(PAYMENT_WAYS[random.nextInt(PAYMENT_WAYS.length)]);
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analysis.setCompetitorBrand(COMPETITOR_BRANDS[random.nextInt(COMPETITOR_BRANDS.length)]);
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analysis.setVehicleUsage(VEHICLE_USAGES[random.nextInt(VEHICLE_USAGES.length)]);
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analysis.setPrimaryDriver(PRIMARY_DRIVERS[random.nextInt(PRIMARY_DRIVERS.length)]);
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// 预算范围
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int budgetMin = random.nextInt(20, 100);
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int budgetMax = budgetMin + random.nextInt(10, 50);
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analysis.setBudgetRange(budgetMin + "-" + budgetMax + "万");
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// 教育水平
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analysis.setEducationLevel(EDUCATION_LEVELS[random.nextInt(EDUCATION_LEVELS.length)]);
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// 家庭结构
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analysis.setFamilyComposition(FAMILY_COMPOSITIONS[random.nextInt(FAMILY_COMPOSITIONS.length)]);
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// 月收入
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int incomeMin = random.nextInt(5, 30);
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int incomeMax = incomeMin + random.nextInt(5, 20);
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analysis.setMonthlyIncome(incomeMin + "-" + incomeMax + "万");
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// 职业信息
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analysis.setJobTitle(JOB_TITLES[random.nextInt(JOB_TITLES.length)]);
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analysis.setCompanyType(COMPANY_TYPES[random.nextInt(COMPANY_TYPES.length)]);
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analysis.setIndustrySector(INDUSTRY_SECTORS[random.nextInt(INDUSTRY_SECTORS.length)]);
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// 兴趣和顾虑
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analysis.setInterestFocus(INTEREST_FOCUSES[random.nextInt(INTEREST_FOCUSES.length)]);
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analysis.setConcernPoint(CONCERN_POINTS[random.nextInt(CONCERN_POINTS.length)]);
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analysis.setPurchaseQualification(random.nextBoolean() ? "是" : "否");
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// 其他信息 - 利用新字段生成更详细的备注
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analysis.setNotes(String.format("客户在%s门店咨询%s项目，销售顾问%s接待，关注点：%s，购车意向明确",
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dealership[1], project[1], salesPerson[1], openingRate[1]));
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analysis.setCurrentBrand(COMPETITOR_BRANDS[random.nextInt(COMPETITOR_BRANDS.length)]);
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analysis.setHomeAddress(generateRandomAddress());
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analysis.setFamilySize(String.valueOf(random.nextInt(1, 6))); // 1-5人
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analysis.setHobby("运动、旅游、音乐");
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// 实体情感分析字段 - 随机生成情感倾向
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generateEntityEmotions(analysis, random);
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// 系统字段
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LocalDateTime now = LocalDateTime.now();
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analysis.setCreatedAt(now);
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analysis.setUpdatedAt(now);
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analysis.setRecordVersion(0);
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analysis.setIsDeleted(0);
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analysis.setCreateSqlby("sched"); // 限制在8个字符以内
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analysis.setUpdateSqlby("sched"); // 限制在8个字符以内
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// 数据验证
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validateCustomerProfileAnalysis(analysis);
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// 调试日志 - 输出生成的数据信息
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log.debug("生成客户画像数据完成 - ID: {}, 客户: {}, 门店: {}, 项目: {}, 销售顾问: {}",
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analysis.getId(), analysis.getClientName(), analysis.getDealerName(),
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analysis.getProjectName(), analysis.getSalesPersonName());
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return analysis;
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}
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/**
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* 生成实体情感分析数据
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*/
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private void generateEntityEmotions(CustomerProfileAnalysis analysis, ThreadLocalRandom random) {
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String[] emotions = EMOTION_TENDENCIES;
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String[] reasons = {"客户对此方面表示满意", "客户对此方面持中性态度", "客户对此方面存在疑虑"};
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// 品牌情感
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int brandEmotion = random.nextInt(emotions.length);
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analysis.setEntityBrand(emotions[brandEmotion]);
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analysis.setEntityBrandReason(reasons[brandEmotion]);
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// 外观设计情感
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int designEmotion = random.nextInt(emotions.length);
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analysis.setEntityDesign(emotions[designEmotion]);
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analysis.setEntityDesignReason(reasons[designEmotion]);
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// 颜色情感
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int colorEmotion = random.nextInt(emotions.length);
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analysis.setEntityColor(emotions[colorEmotion]);
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analysis.setEntityColorReason(reasons[colorEmotion]);
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// 尺寸情感
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int sizeEmotion = random.nextInt(emotions.length);
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analysis.setEntitySize(emotions[sizeEmotion]);
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analysis.setEntitySizeReason(reasons[sizeEmotion]);
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// 空间情感
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int spaceEmotion = random.nextInt(emotions.length);
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analysis.setEntitySpace(emotions[spaceEmotion]);
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analysis.setEntitySpaceReason(reasons[spaceEmotion]);
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// 内饰情感
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int interiorEmotion = random.nextInt(emotions.length);
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analysis.setEntityInterior(emotions[interiorEmotion]);
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analysis.setEntityInteriorReason(reasons[interiorEmotion]);
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// 音响情感
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int audioEmotion = random.nextInt(emotions.length);
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analysis.setEntityAudio(emotions[audioEmotion]);
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analysis.setEntityAudioReason(reasons[audioEmotion]);
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// 车机情感
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int ivinfoEmotion = random.nextInt(emotions.length);
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analysis.setEntityIvinfo(emotions[ivinfoEmotion]);
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analysis.setEntityIvinfoReason(reasons[ivinfoEmotion]);
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// 智驾情感
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int fsdEmotion = random.nextInt(emotions.length);
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analysis.setEntityFsd(emotions[fsdEmotion]);
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analysis.setEntityFsdReason(reasons[fsdEmotion]);
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// 续航情感
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int mileageEmotion = random.nextInt(emotions.length);
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analysis.setEntityMileage(emotions[mileageEmotion]);
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analysis.setEntityMileageReason(reasons[mileageEmotion]);
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// 安全情感
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int safetyEmotion = random.nextInt(emotions.length);
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analysis.setEntitySafety(emotions[safetyEmotion]);
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analysis.setEntitySafetyReason(reasons[safetyEmotion]);
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// 环保情感
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int ecoEmotion = random.nextInt(emotions.length);
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analysis.setEntityEco(emotions[ecoEmotion]);
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analysis.setEntityEcoReason(reasons[ecoEmotion]);
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// 绿牌/路权情感
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int liscenseEmotion = random.nextInt(emotions.length);
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analysis.setEntityLiscense(emotions[liscenseEmotion]);
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analysis.setEntityLiscenseReason(reasons[liscenseEmotion]);
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// 价格情感
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int priceEmotion = random.nextInt(emotions.length);
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analysis.setEntityPrice(emotions[priceEmotion]);
|
||
analysis.setEntityPriceReason(reasons[priceEmotion]);
|
||
|
||
// 购车权益情感
|
||
int benefitEmotion = random.nextInt(emotions.length);
|
||
analysis.setEntityBenefit(emotions[benefitEmotion]);
|
||
analysis.setEntityBenefitReason(reasons[benefitEmotion]);
|
||
|
||
// 用车成本情感
|
||
int costEmotion = random.nextInt(emotions.length);
|
||
analysis.setEntityCost(emotions[costEmotion]);
|
||
analysis.setEntityCostReason(reasons[costEmotion]);
|
||
|
||
// 性价比情感
|
||
int valueEmotion = random.nextInt(emotions.length);
|
||
analysis.setEntityValue(emotions[valueEmotion]);
|
||
analysis.setEntityValueReason(reasons[valueEmotion]);
|
||
|
||
// 动力情感
|
||
int powerEmotion = random.nextInt(emotions.length);
|
||
analysis.setEntityPower(emotions[powerEmotion]);
|
||
analysis.setEntityPowerReason(reasons[powerEmotion]);
|
||
|
||
// 操控情感
|
||
int controlEmotion = random.nextInt(emotions.length);
|
||
analysis.setEntityControl(emotions[controlEmotion]);
|
||
analysis.setEntityControlReason(reasons[controlEmotion]);
|
||
|
||
// 置换政策情感
|
||
int tradeinEmotion = random.nextInt(emotions.length);
|
||
analysis.setEntityTradein(emotions[tradeinEmotion]);
|
||
analysis.setEntityTradeinReason(reasons[tradeinEmotion]);
|
||
|
||
// 金融方案情感
|
||
int financeEmotion = random.nextInt(emotions.length);
|
||
analysis.setEntityFinance(emotions[financeEmotion]);
|
||
analysis.setEntityFinanceReason(reasons[financeEmotion]);
|
||
|
||
// 质保情感
|
||
int warrantyEmotion = random.nextInt(emotions.length);
|
||
analysis.setEntityWarranty(emotions[warrantyEmotion]);
|
||
analysis.setEntityWarrantyReason(reasons[warrantyEmotion]);
|
||
|
||
// 交付时间情感
|
||
int deliveryEmotion = random.nextInt(emotions.length);
|
||
analysis.setEntityDelivery(emotions[deliveryEmotion]);
|
||
analysis.setEntityDeliveryReason(reasons[deliveryEmotion]);
|
||
}
|
||
|
||
/**
|
||
* 验证客户画像分析数据的完整性
|
||
*
|
||
* @param analysis 客户画像分析对象
|
||
*/
|
||
private void validateCustomerProfileAnalysis(CustomerProfileAnalysis analysis) {
|
||
if (analysis == null) {
|
||
throw new IllegalArgumentException("客户画像分析对象不能为空");
|
||
}
|
||
|
||
// 验证必填字段
|
||
if (analysis.getProfileAnalysisRecordId() == null || analysis.getProfileAnalysisRecordId().trim().isEmpty()) {
|
||
throw new IllegalArgumentException("AI分析记录ID不能为空");
|
||
}
|
||
|
||
if (analysis.getDealerCode() == null || analysis.getDealerCode().trim().isEmpty()) {
|
||
throw new IllegalArgumentException("经销商编码不能为空");
|
||
}
|
||
|
||
if (analysis.getDealerName() == null || analysis.getDealerName().trim().isEmpty()) {
|
||
throw new IllegalArgumentException("经销商门店名称不能为空");
|
||
}
|
||
|
||
if (analysis.getProjectId() == null || analysis.getProjectId().trim().isEmpty()) {
|
||
throw new IllegalArgumentException("项目ID不能为空");
|
||
}
|
||
|
||
if (analysis.getProjectName() == null || analysis.getProjectName().trim().isEmpty()) {
|
||
throw new IllegalArgumentException("项目名称不能为空");
|
||
}
|
||
|
||
if (analysis.getSalesPersonId() == null || analysis.getSalesPersonId().trim().isEmpty()) {
|
||
throw new IllegalArgumentException("销售顾问ID不能为空");
|
||
}
|
||
|
||
if (analysis.getSalesPersonName() == null || analysis.getSalesPersonName().trim().isEmpty()) {
|
||
throw new IllegalArgumentException("销售顾问姓名不能为空");
|
||
}
|
||
|
||
if (analysis.getClientName() == null || analysis.getClientName().trim().isEmpty()) {
|
||
throw new IllegalArgumentException("客户姓名不能为空");
|
||
}
|
||
|
||
if (analysis.getClientPhone() == null || analysis.getClientPhone().trim().isEmpty()) {
|
||
throw new IllegalArgumentException("客户电话不能为空");
|
||
}
|
||
|
||
if (analysis.getInteractionDate() == null) {
|
||
throw new IllegalArgumentException("沟通时间不能为空");
|
||
}
|
||
|
||
log.debug("客户画像分析数据验证通过 - 客户：{}，门店：{}，项目：{}，销售顾问：{}",
|
||
analysis.getClientName(), analysis.getDealerName(),
|
||
analysis.getProjectName(), analysis.getSalesPersonName());
|
||
}
|
||
|
||
/**
|
||
* 生成随机手机号
|
||
*/
|
||
private String generateRandomPhone() {
|
||
ThreadLocalRandom random = ThreadLocalRandom.current();
|
||
String prefix = PHONE_PREFIXES[random.nextInt(PHONE_PREFIXES.length)];
|
||
StringBuilder phone = new StringBuilder(prefix);
|
||
for (int i = 0; i < 8; i++) {
|
||
phone.append(random.nextInt(0, 10));
|
||
}
|
||
return phone.toString();
|
||
}
|
||
|
||
/**
|
||
* 生成随机地址
|
||
*/
|
||
private String generateRandomAddress() {
|
||
String[] cities = {"北京市", "上海市", "广州市", "深圳市", "成都市", "杭州市", "南京市", "武汉市"};
|
||
String[] districts = {"朝阳区", "海淀区", "西城区", "东城区", "丰台区", "石景山区", "通州区", "昌平区"};
|
||
ThreadLocalRandom random = ThreadLocalRandom.current();
|
||
|
||
String city = cities[random.nextInt(cities.length)];
|
||
String district = districts[random.nextInt(districts.length)];
|
||
String street = "某某街道" + random.nextInt(1, 100) + "号";
|
||
|
||
return city + district + street;
|
||
}
|
||
|
||
/**
|
||
* 手动触发数据生成任务（用于测试或补录数据）
|
||
*
|
||
* @param date 要生成数据的日期
|
||
* @return 生成的记录数
|
||
*/
|
||
public int manualGenerateData(LocalDateTime date) {
|
||
try {
|
||
log.info("手动执行客户画像数据生成任务，生成日期：{}", date.format(DateTimeFormatter.ofPattern("yyyy-MM-dd")));
|
||
int count = generateCustomerProfileDataForDate(date);
|
||
log.info("手动客户画像数据生成任务执行完成，生成日期：{}，生成记录数：{}",
|
||
date.format(DateTimeFormatter.ofPattern("yyyy-MM-dd")), count);
|
||
return count;
|
||
} catch (Exception e) {
|
||
log.error("手动客户画像数据生成任务执行失败，生成日期：{}", date.format(DateTimeFormatter.ofPattern("yyyy-MM-dd")), e);
|
||
throw e;
|
||
}
|
||
}
|
||
}
|