基于springboot家教管理系统源码和论文
传统办法管理信息首先需要花费的时间比较多，其次数据出错率比较高，而且对错误的数据进行更改也比较困难，最后，检索数据费事费力。因此，在计算机上安装家教管理系统软件来发挥其高效地信息处理的作用，可以规范信息管理流程，让管理工作可以系统化和程序化，同时，家教管理系统的有效运用可以帮助管理人员准确快速地处理信息。
家教管理系统在对开发工具的选择上也很慎重，为了便于开发实现，选择的开发工具为Eclipse，选择的数据库工具为Mysql。以此搭建开发环境实现家教管理系统的功能。其中管理员管理用户，新闻公告。
家教管理系统是一款运用软件开发技术设计实现的应用系统，在信息处理上可以达到快速的目的，不管是针对数据添加，数据维护和统计，以及数据查询等处理要求，家教管理系统都可以轻松应对。
关键词：家教管理系统；SpringBoot框架，系统分析，数据库设计
演示视频：
基于springboot家教管理系统源码和论文646
演示视频：
基于springboot家教管理系统源码和论文【包调试运行】
Abstract
The traditional method of managing public transportation information first takes more time, and secondly, the data error rate is relatively high, and it is more difficult to modify the wrong data, and finally, it is laborious and laborious to retrieve the data. Therefore, installing the public transportation query website software on the computer to play its role in efficient information processing can standardize the public transportation information management process, so that the management work can be systematized and programmed. At the same time, the effective use of the public transportation query website can help managers accurately Process information quickly.
The public transportation query website is also very cautious in the selection of development tools. In order to facilitate the development and realization, the selected development tool is Eclipse, and the selected database tool is Mysql. In this way, the development environment is built to realize the functions of the public transport query website. Among them, the administrator manages users, drivers, news announcements, manages vehicles, stations, and trip information in the route management module, and responds to users' suggested messages in the message suggestion management module. Users inquire about the site, inquire about transfer information, post message suggestions, and check news announcements.
The bus query website is an application system designed and implemented using software development technology. It can achieve rapid information processing. Whether it is for data addition, data maintenance and statistics, and data query processing requirements, the bus query website can easily response.
Key Words：Public transport query website; bus number information; suggestion to leave a message; query site
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);
}
}