网络的广泛应用给生活带来了十分的便利。所以把共享厨房信息管理与现在网络相结合,利用java技术建设共享厨房信息系统,实现共享厨房信息的系统化。则对于进一步提高共享厨房信息管理发展,丰富共享厨房信息管理经验能起到不少的促进作用。
共享厨房信息系统能够通过互联网得到广泛的、全面的宣传,让尽可能多的用户了解和熟知共享厨房信息系统的便捷高效,不仅为群众提供了服务,而且也推广了自己,让更多的群众了解自己。对于共享厨房信息管理而言,若拥有自己的系统,通过系统得到更好的管理,同时提升了形象。
本系统设计的现状和趋势,从需求、结构、数据库等方面的设计到系统的实现,分别为管理员和用户的实现。论文的内容从系统的设计、描述、实现、分析、测试方面来表明开发的过程。本系统根据现实情况来选择一种可行的开发方案,借助java编程语言和MySQL数据库等实现系统的全部功能,接下来对系统进行测试,测试系统是否有漏洞和测试用户权限来完善系统,最终系统完成达到相关标准。
关键字:共享厨房信息系统?java ?MySQL数据库
基于ssm+jsp共享厨房信息系统源码和论文815
演示视频:
基于ssm+jsp共享厨房信息系统源码和论文
Abstract
The wide application of network has brought great convenience to life. Therefore, the shared kitchen information management is combined with the current network, using Java technology to build a shared kitchen information system, and realize the systematization of shared kitchen information. It can further improve the development of shared kitchen information management and enrich the experience of shared kitchen information management.
Sharing kitchen information system can be widely and comprehensively publicized through the Internet, so that as many users as possible understand and be familiar with the convenience and efficiency of sharing kitchen information system, not only to provide services for the masses, but also to promote themselves, so that more people understand themselves. For shared kitchen information management, if you have your own system, you can get better management through the system and improve the image.
The present situation and trend of the system design, from the requirements, structure, database and other aspects of the design to the realization of the system, respectively for the realization of administrators and users. The content of the paper shows the development process from the aspects of system design, description, implementation, analysis and testing. The system according to the reality to choose a feasible development plan, with the help of Java programming language and MySQL database to achieve all the functions of the system, then the system is tested, test whether the system has vulnerabilities and test user permissions to improve the system, the final system to achieve relevant standards.
Key words:?Shared kitchen information system Java MySQL database
?
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);
}
}