基于springboot停车场管理系统源码和论文
如今社会上各行各业，都喜欢用自己行业的专属软件工作，互联网发展到这个时候，人们已经发现离不开了互联网。新技术的产生，往往能解决一些老技术的弊端问题。因为传统停车场管理系统信息管理难度大，容错率低，管理人员处理数据费工费时，所以专门为解决这个难题开发了一个停车场管理系统管理系统，可以解决许多问题。
停车场管理系统管理系统按照操作主体分为管理员和用户。管理员的功能包括车辆管理、车位管理、车位预订管理、字典管理、公告管理、违规管理、用户管理、员工管理、管理员管理。用户的功能等。该系统采用了Mysql数据库，Java语言，Spring Boot框架等技术进行编程实现。
停车场管理系统管理系统可以提高停车场管理系统信息管理问题的解决效率，优化停车场管理系统信息处理流程，保证停车场管理系统信息数据的安全，它是一个非常可靠，非常安全的应用程序。
关键词：停车场管理系统管理系统；车位,车位预订Mysql数据库；Java语言
基于springboot停车场管理系统源码和论文656
演示视频：
【包调试运行】基于springboot停车场管理系统源码和论文
Abstract
Nowadays, all walks of life in society like to work with their own industry-specific software. At this point in the development of the Internet, people have found that they cannot do without the Internet. The emergence of new technologies can often solve the drawbacks of some old technologies. Because the traditional personnel information management is difficult, the fault tolerance rate is low, and the management personnel is labor-intensive and time-consuming to process data, a personnel management system has been specially developed to solve this problem, which can solve many problems.
The personnel management system is divided into administrators and users according to the operating subjects. The functions of the administrator include managing employees, managing personnel information, including recruitment management, training management, reward and punishment management, salary management, etc., and can manage operators. User functions include managing department and department position information, managing recruitment information, training information, salary information, etc. The system uses Mysql database, Java language, Spring Boot framework and other technologies for programming.
The personnel management system can improve the efficiency of solving personnel information management problems, optimize the personnel information processing process, and ensure the security of personnel information data. It is a very reliable and very safe application.
Key Words：Personnel management system; Mysql database; Java language
package com.controller;
import java.io.*;
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.SQLException;
import java.text.SimpleDateFormat;
import java.util.*;
import javax.servlet.http.HttpServletRequest;
import com.alibaba.fastjson.JSON;
import com.utils.StringUtil;
import org.apache.commons.lang3.StringUtils;
import org.json.JSONObject;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.util.ResourceUtils;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import com.annotation.IgnoreAuth;
import com.baidu.aip.face.AipFace;
import com.baidu.aip.face.MatchRequest;
import com.baidu.aip.util.Base64Util;
import com.baomidou.mybatisplus.mapper.EntityWrapper;
import com.baomidou.mybatisplus.mapper.Wrapper;
import com.entity.ConfigEntity;
import com.service.CommonService;
import com.service.ConfigService;
import com.utils.BaiduUtil;
import com.utils.FileUtil;
import com.utils.R;
/**
* 通用接口
*/
@RestController
public class CommonController {
private static final Logger logger = LoggerFactory.getLogger(CommonController.class);
@Autowired
private CommonService commonService;
/**
* Java代码实现MySQL数据库导出
*
* @param mysqlUrl MySQL安装路径
* @param hostIP MySQL数据库所在服务器地址IP
* @param userName 进入数据库所需要的用户名
* @param hostPort 数据库端口
* @param password 进入数据库所需要的密码
* @param savePath 数据库文件保存路径
* @param fileName 数据库导出文件文件名
* @param databaseName 要导出的数据库名
* @return 返回true表示导出成功，否则返回false。
*/
@IgnoreAuth
@RequestMapping("/beifen")
public R beifen(String mysqlUrl, String hostIP, String userName, String hostPort, String password, String savePath, String fileName, String databaseName) {
File saveFile = new File(savePath);
if (!saveFile.exists()) {// 如果目录不存在
saveFile.mkdirs();// 创建文件夹
}
if (!savePath.endsWith(File.separator)) {
savePath = savePath + File.separator;
}
PrintWriter printWriter = null;
BufferedReader bufferedReader = null;
try {
Runtime runtime = Runtime.getRuntime();
String cmd = mysqlUrl + "mysqldump -h" + hostIP + " -u" + userName + " -P" + hostPort + " -p" + password + " " + databaseName;
runtime.exec(cmd);
Process process = runtime.exec(cmd);
InputStreamReader inputStreamReader = new InputStreamReader(process.getInputStream(), "utf8");
bufferedReader = new BufferedReader(inputStreamReader);
printWriter = new PrintWriter(new OutputStreamWriter(new FileOutputStream(savePath + fileName), "utf8"));
String line;
while ((line = bufferedReader.readLine()) != null) {
printWriter.println(line);
}
printWriter.flush();
} catch (Exception e) {
e.printStackTrace();
return R.error("备份数据出错");
} finally {
try {
if (bufferedReader != null) {
bufferedReader.close();
}
if (printWriter != null) {
printWriter.close();
}
} catch (Exception e) {
e.printStackTrace();
}
}
return R.ok();
}
/**
* Java实现MySQL数据库导入
*
* @param mysqlUrl MySQL安装路径
* @param hostIP MySQL数据库所在服务器地址IP
* @param userName 进入数据库所需要的用户名
* @param hostPort 数据库端口
* @param password 进入数据库所需要的密码
* @param savePath 数据库文件保存路径
* @param fileName 数据库导出文件文件名
* @param databaseName 要导出的数据库名
*/
@IgnoreAuth
@RequestMapping("/huanyuan")
public R huanyuan(String mysqlUrl, String hostIP, String userName, String hostPort, String password, String savePath, String fileName, String databaseName) {
try {
Runtime rt = Runtime.getRuntime();
Process child1 = rt.exec(mysqlUrl+"mysql.exe -h" + hostIP + " -u" + userName + " -P" + hostPort + " -p" + password + " " + databaseName);
OutputStream out = child1.getOutputStream();//控制台的输入信息作为输出流
String inStr;
StringBuffer sb = new StringBuffer("");
String outStr;
BufferedReader br = new BufferedReader(new InputStreamReader(new FileInputStream(savePath+"/"+fileName), "utf-8"));
while ((inStr = br.readLine()) != null) {
sb.append(inStr + "\r\n");
}
outStr = sb.toString();
OutputStreamWriter writer = new OutputStreamWriter(out, "utf8");
writer.write(outStr);
// 注：这里如果用缓冲方式写入文件的话，会导致中文乱码，用flush()方法则可以避免
writer.flush();
out.close();
br.close();
writer.close();
} catch (Exception e) {
e.printStackTrace();
return R.error("数据导入出错");
}
return R.ok();
}
/**
* 饼状图求和
* @return
*/
@RequestMapping("/pieSum")
public R pieSum(@RequestParam Map<String,Object> params) {
logger.debug("饼状图求和:,,Controller:{},,params:{}",this.getClass().getName(),params);
List<Map<String, Object>> result = commonService.pieSum(params);
return R.ok().put("data", result);
}
/**
* 饼状图统计
* @return
*/
@RequestMapping("/pieCount")
public R pieCount(@RequestParam Map<String,Object> params) {
logger.debug("饼状图统计:,,Controller:{},,params:{}",this.getClass().getName(),params);
List<Map<String, Object>> result = commonService.pieCount(params);
return R.ok().put("data", result);
}
/**
* 柱状图求和单列
* @return
*/
@RequestMapping("/barSumOne")
public R barSumOne(@RequestParam Map<String,Object> params) {
logger.debug("柱状图求和单列:,,Controller:{},,params:{}",this.getClass().getName(),params);
List<Map<String, Object>> result = commonService.barSumOne(params);
List<String> xAxis = new ArrayList<>();//报表x轴
List<List<String>> yAxis = new ArrayList<>();//y轴
List<String> legend = new ArrayList<>();//标题
List<String> yAxis0 = new ArrayList<>();
yAxis.add(yAxis0);
legend.add("");
for(Map<String, Object> map :result){
String oneValue = String.valueOf(map.get("name"));
String value = String.valueOf(map.get("value"));
xAxis.add(oneValue);
yAxis0.add(value);
}
Map<String, Object> resultMap = new HashMap<>();
resultMap.put("xAxis",xAxis);
resultMap.put("yAxis",yAxis);
resultMap.put("legend",legend);
return R.ok().put("data", resultMap);
}
/**
* 柱状图统计单列
* @return
*/
@RequestMapping("/barCountOne")
public R barCountOne(@RequestParam Map<String,Object> params) {
logger.debug("柱状图统计单列:,,Controller:{},,params:{}",this.getClass().getName(),params);
List<Map<String, Object>> result = commonService.barCountOne(params);
List<String> xAxis = new ArrayList<>();//报表x轴
List<List<String>> yAxis = new ArrayList<>();//y轴
List<String> legend = new ArrayList<>();//标题
List<String> yAxis0 = new ArrayList<>();
yAxis.add(yAxis0);
legend.add("");
for(Map<String, Object> map :result){
String oneValue = String.valueOf(map.get("name"));
String value = String.valueOf(map.get("value"));
xAxis.add(oneValue);
yAxis0.add(value);
}
Map<String, Object> resultMap = new HashMap<>();
resultMap.put("xAxis",xAxis);
resultMap.put("yAxis",yAxis);
resultMap.put("legend",legend);
return R.ok().put("data", resultMap);
}
/**
* 柱状图统计双列
* @return
*/
@RequestMapping("/barSumTwo")
public R barSumTwo(@RequestParam Map<String,Object> params) {
logger.debug("柱状图统计双列:,,Controller:{},,params:{}",this.getClass().getName(),params);
List<Map<String, Object>> result = commonService.barSumTwo(params);
List<String> xAxis = new ArrayList<>();//报表x轴
List<List<String>> yAxis = new ArrayList<>();//y轴
List<String> legend = new ArrayList<>();//标题
Map<String, HashMap<String, String>> dataMap = new LinkedHashMap<>();
for(Map<String, Object> map :result){
String name1Value = String.valueOf(map.get("name1"));
String name2Value = String.valueOf(map.get("name2"));
String value = String.valueOf(map.get("value"));
if(!legend.contains(name2Value)){
legend.add(name2Value);//添加完成后 就是最全的第二列的类型
}
if(dataMap.containsKey(name1Value)){
dataMap.get(name1Value).put(name2Value,value);
}else{
HashMap<String, String> name1Data = new HashMap<>();
name1Data.put(name2Value,value);
dataMap.put(name1Value,name1Data);
}
}
for(int i =0; i<legend.size(); i++){
yAxis.add(new ArrayList<String>());
}
Set<String> keys = dataMap.keySet();
for(String key:keys){
xAxis.add(key);
HashMap<String, String> map = dataMap.get(key);
for(int i =0; i<legend.size(); i++){
List<String> data = yAxis.get(i);
if(StringUtil.isNotEmpty(map.get(legend.get(i)))){
data.add(map.get(legend.get(i)));
}else{
data.add("0");
}
}
}
System.out.println();
Map<String, Object> resultMap = new HashMap<>();
resultMap.put("xAxis",xAxis);
resultMap.put("yAxis",yAxis);
resultMap.put("legend",legend);
return R.ok().put("data", resultMap);
}
/**
* 柱状图统计双列
* @return
*/
@RequestMapping("/barCountTwo")
public R barCountTwo(@RequestParam Map<String,Object> params) {
logger.debug("柱状图统计双列:,,Controller:{},,params:{}",this.getClass().getName(),params);
List<Map<String, Object>> result = commonService.barCountTwo(params);
List<String> xAxis = new ArrayList<>();//报表x轴
List<List<String>> yAxis = new ArrayList<>();//y轴
List<String> legend = new ArrayList<>();//标题
Map<String, HashMap<String, String>> dataMap = new LinkedHashMap<>();
for(Map<String, Object> map :result){
String name1Value = String.valueOf(map.get("name1"));
String name2Value = String.valueOf(map.get("name2"));
String value = String.valueOf(map.get("value"));
if(!legend.contains(name2Value)){
legend.add(name2Value);//添加完成后 就是最全的第二列的类型
}
if(dataMap.containsKey(name1Value)){
dataMap.get(name1Value).put(name2Value,value);
}else{
HashMap<String, String> name1Data = new HashMap<>();
name1Data.put(name2Value,value);
dataMap.put(name1Value,name1Data);
}
}
for(int i =0; i<legend.size(); i++){
yAxis.add(new ArrayList<String>());
}
Set<String> keys = dataMap.keySet();
for(String key:keys){
xAxis.add(key);
HashMap<String, String> map = dataMap.get(key);
for(int i =0; i<legend.size(); i++){
List<String> data = yAxis.get(i);
if(StringUtil.isNotEmpty(map.get(legend.get(i)))){
data.add(map.get(legend.get(i)));
}else{
data.add("0");
}
}
}
System.out.println();
Map<String, Object> resultMap = new HashMap<>();
resultMap.put("xAxis",xAxis);
resultMap.put("yAxis",yAxis);
resultMap.put("legend",legend);
return R.ok().put("data", resultMap);
}
/**
tableName 查询表
condition1 条件1
condition1Value 条件1值
average 计算平均评分
取值
有值 Number(res.data.value.toFixed(1))
无值 if(res.data){}
* */
@IgnoreAuth
@RequestMapping("/queryScore")
public R queryScore(@RequestParam Map<String, Object> params) {
logger.debug("queryScore:,,Controller:{},,params:{}",this.getClass().getName(),params);
Map<String, Object> queryScore = commonService.queryScore(params);
return R.ok().put("data", queryScore);
}
/**
* 查询字典表的分组统计总条数
* tableName 表名
* groupColumn 分组字段
* @return
*/
@RequestMapping("/newSelectGroupCount")
public R newSelectGroupCount(@RequestParam Map<String,Object> params) {
logger.debug("newSelectGroupCount:,,Controller:{},,params:{}",this.getClass().getName(),params);
List<Map<String, Object>> result = commonService.newSelectGroupCount(params);
return R.ok().put("data", result);
}
/**
* 查询字典表的分组求和
* tableName 表名
* groupColumn 分组字段
* sumCloum 统计字段
* @return
*/
@RequestMapping("/newSelectGroupSum")
public R newSelectGroupSum(@RequestParam Map<String,Object> params) {
logger.debug("newSelectGroupSum:,,Controller:{},,params:{}",this.getClass().getName(),params);
List<Map<String, Object>> result = commonService.newSelectGroupSum(params);
return R.ok().put("data", result);
}
/**
* 柱状图求和 老的
*/
@RequestMapping("/barSum")
public R barSum(@RequestParam Map<String,Object> params) {
logger.debug("barSum方法:,,Controller:{},,params:{}",this.getClass().getName(), com.alibaba.fastjson.JSONObject.toJSONString(params));
Boolean isJoinTableFlag = false;//是否有级联表相关
String one = "";//第一优先
String two = "";//第二优先
//处理thisTable和joinTable 处理内容是把json字符串转为Map并把带有,的切割为数组
//当前表
Map<String,Object> thisTable = JSON.parseObject(String.valueOf(params.get("thisTable")),Map.class);
params.put("thisTable",thisTable);
//级联表
String joinTableString = String.valueOf(params.get("joinTable"));
if(StringUtil.isNotEmpty(joinTableString)) {
Map<String, Object> joinTable = JSON.parseObject(joinTableString, Map.class);
params.put("joinTable", joinTable);
isJoinTableFlag = true;
}
if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("date")))){//当前表日期
thisTable.put("date",String.valueOf(thisTable.get("date")).split(","));
one = "thisDate0";
}
if(isJoinTableFlag){//级联表日期
Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");
if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("date")))){
joinTable.put("date",String.valueOf(joinTable.get("date")).split(","));
if(StringUtil.isEmpty(one)){
one ="joinDate0";
}else{
if(StringUtil.isEmpty(two)){
two ="joinDate0";
}
}
}
}
if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("string")))){//当前表字符串
thisTable.put("string",String.valueOf(thisTable.get("string")).split(","));
if(StringUtil.isEmpty(one)){
one ="thisString0";
}else{
if(StringUtil.isEmpty(two)){
two ="thisString0";
}
}
}
if(isJoinTableFlag){//级联表字符串
Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");
if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("string")))){
joinTable.put("string",String.valueOf(joinTable.get("string")).split(","));
if(StringUtil.isEmpty(one)){
one ="joinString0";
}else{
if(StringUtil.isEmpty(two)){
two ="joinString0";
}
}
}
}
if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("types")))){//当前表类型
thisTable.put("types",String.valueOf(thisTable.get("types")).split(","));
if(StringUtil.isEmpty(one)){
one ="thisTypes0";
}else{
if(StringUtil.isEmpty(two)){
two ="thisTypes0";
}
}
}
if(isJoinTableFlag){//级联表类型
Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");
if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("types")))){
joinTable.put("types",String.valueOf(joinTable.get("types")).split(","));
if(StringUtil.isEmpty(one)){
one ="joinTypes0";
}else{
if(StringUtil.isEmpty(two)){
two ="joinTypes0";
}
}
}
}
List<Map<String, Object>> result = commonService.barSum(params);
List<String> xAxis = new ArrayList<>();//报表x轴
List<List<String>> yAxis = new ArrayList<>();//y轴
List<String> legend = new ArrayList<>();//标题
if(StringUtil.isEmpty(two)){//不包含第二列
List<String> yAxis0 = new ArrayList<>();
yAxis.add(yAxis0);
legend.add("");
for(Map<String, Object> map :result){
String oneValue = String.valueOf(map.get(one));
String value = String.valueOf(map.get("value"));
xAxis.add(oneValue);
yAxis0.add(value);
}
}else{//包含第二列
Map<String, HashMap<String, String>> dataMap = new LinkedHashMap<>();
if(StringUtil.isNotEmpty(two)){
for(Map<String, Object> map :result){
String oneValue = String.valueOf(map.get(one));
String twoValue = String.valueOf(map.get(two));
String value = String.valueOf(map.get("value"));
if(!legend.contains(twoValue)){
legend.add(twoValue);//添加完成后 就是最全的第二列的类型
}
if(dataMap.containsKey(oneValue)){
dataMap.get(oneValue).put(twoValue,value);
}else{
HashMap<String, String> oneData = new HashMap<>();
oneData.put(twoValue,value);
dataMap.put(oneValue,oneData);
}
}
}
for(int i =0; i<legend.size(); i++){
yAxis.add(new ArrayList<String>());
}
Set<String> keys = dataMap.keySet();
for(String key:keys){
xAxis.add(key);
HashMap<String, String> map = dataMap.get(key);
for(int i =0; i<legend.size(); i++){
List<String> data = yAxis.get(i);
if(StringUtil.isNotEmpty(map.get(legend.get(i)))){
data.add(map.get(legend.get(i)));
}else{
data.add("0");
}
}
}
System.out.println();
}
Map<String, Object> resultMap = new HashMap<>();
resultMap.put("xAxis",xAxis);
resultMap.put("yAxis",yAxis);
resultMap.put("legend",legend);
return R.ok().put("data", resultMap);
}
/**
* 柱状图统计 老的
*/
@RequestMapping("/barCount")
public R barCount(@RequestParam Map<String,Object> params) {
logger.debug("barCount方法:,,Controller:{},,params:{}",this.getClass().getName(), com.alibaba.fastjson.JSONObject.toJSONString(params));
Boolean isJoinTableFlag = false;//是否有级联表相关
String one = "";//第一优先
String two = "";//第二优先
//处理thisTable和joinTable 处理内容是把json字符串转为Map并把带有,的切割为数组
//当前表
Map<String,Object> thisTable = JSON.parseObject(String.valueOf(params.get("thisTable")),Map.class);
params.put("thisTable",thisTable);
//级联表
String joinTableString = String.valueOf(params.get("joinTable"));
if(StringUtil.isNotEmpty(joinTableString)) {
Map<String, Object> joinTable = JSON.parseObject(joinTableString, Map.class);
params.put("joinTable", joinTable);
isJoinTableFlag = true;
}
if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("date")))){//当前表日期
thisTable.put("date",String.valueOf(thisTable.get("date")).split(","));
one = "thisDate0";
}
if(isJoinTableFlag){//级联表日期
Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");
if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("date")))){
joinTable.put("date",String.valueOf(joinTable.get("date")).split(","));
if(StringUtil.isEmpty(one)){
one ="joinDate0";
}else{
if(StringUtil.isEmpty(two)){
two ="joinDate0";
}
}
}
}
if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("string")))){//当前表字符串
thisTable.put("string",String.valueOf(thisTable.get("string")).split(","));
if(StringUtil.isEmpty(one)){
one ="thisString0";
}else{
if(StringUtil.isEmpty(two)){
two ="thisString0";
}
}
}
if(isJoinTableFlag){//级联表字符串
Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");
if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("string")))){
joinTable.put("string",String.valueOf(joinTable.get("string")).split(","));
if(StringUtil.isEmpty(one)){
one ="joinString0";
}else{
if(StringUtil.isEmpty(two)){
two ="joinString0";
}
}
}
}
if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("types")))){//当前表类型
thisTable.put("types",String.valueOf(thisTable.get("types")).split(","));
if(StringUtil.isEmpty(one)){
one ="thisTypes0";
}else{
if(StringUtil.isEmpty(two)){
two ="thisTypes0";
}
}
}
if(isJoinTableFlag){//级联表类型
Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");
if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("types")))){
joinTable.put("types",String.valueOf(joinTable.get("types")).split(","));
if(StringUtil.isEmpty(one)){
one ="joinTypes0";
}else{
if(StringUtil.isEmpty(two)){
two ="joinTypes0";
}
}
}
}
List<Map<String, Object>> result = commonService.barCount(params);
List<String> xAxis = new ArrayList<>();//报表x轴
List<List<String>> yAxis = new ArrayList<>();//y轴
List<String> legend = new ArrayList<>();//标题
if(StringUtil.isEmpty(two)){//不包含第二列
List<String> yAxis0 = new ArrayList<>();
yAxis.add(yAxis0);
legend.add("");
for(Map<String, Object> map :result){
String oneValue = String.valueOf(map.get(one));
String value = String.valueOf(map.get("value"));
xAxis.add(oneValue);
yAxis0.add(value);
}
}else{//包含第二列
Map<String, HashMap<String, String>> dataMap = new LinkedHashMap<>();
if(StringUtil.isNotEmpty(two)){
for(Map<String, Object> map :result){
String oneValue = String.valueOf(map.get(one));
String twoValue = String.valueOf(map.get(two));
String value = String.valueOf(map.get("value"));
if(!legend.contains(twoValue)){
legend.add(twoValue);//添加完成后 就是最全的第二列的类型
}
if(dataMap.containsKey(oneValue)){
dataMap.get(oneValue).put(twoValue,value);
}else{
HashMap<String, String> oneData = new HashMap<>();
oneData.put(twoValue,value);
dataMap.put(oneValue,oneData);
}
}
}
for(int i =0; i<legend.size(); i++){
yAxis.add(new ArrayList<String>());
}
Set<String> keys = dataMap.keySet();
for(String key:keys){
xAxis.add(key);
HashMap<String, String> map = dataMap.get(key);
for(int i =0; i<legend.size(); i++){
List<String> data = yAxis.get(i);
if(StringUtil.isNotEmpty(map.get(legend.get(i)))){
data.add(map.get(legend.get(i)));
}else{
data.add("0");
}
}
}
System.out.println();
}
Map<String, Object> resultMap = new HashMap<>();
resultMap.put("xAxis",xAxis);
resultMap.put("yAxis",yAxis);
resultMap.put("legend",legend);
return R.ok().put("data", resultMap);
}
}