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699 lines
23 KiB
699 lines
23 KiB
package com.controller;
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import java.io.File;
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import java.io.FileNotFoundException;
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import java.io.IOException;
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import java.text.SimpleDateFormat;
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import java.util.*;
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import javax.servlet.http.HttpServletRequest;
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import com.alibaba.fastjson.JSON;
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import com.utils.StringUtil;
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import org.apache.commons.lang3.StringUtils;
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import org.json.JSONObject;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.util.ResourceUtils;
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import org.springframework.web.bind.annotation.PathVariable;
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import org.springframework.web.bind.annotation.RequestBody;
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import org.springframework.web.bind.annotation.RequestMapping;
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import org.springframework.web.bind.annotation.RequestParam;
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import org.springframework.web.bind.annotation.RestController;
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import com.annotation.IgnoreAuth;
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import com.baidu.aip.face.AipFace;
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import com.baidu.aip.face.MatchRequest;
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import com.baidu.aip.util.Base64Util;
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import com.baomidou.mybatisplus.mapper.EntityWrapper;
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import com.baomidou.mybatisplus.mapper.Wrapper;
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import com.entity.ConfigEntity;
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import com.service.CommonService;
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import com.service.ConfigService;
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import com.utils.BaiduUtil;
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import com.utils.FileUtil;
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import com.utils.R;
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/**
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* 通用接口
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*/
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@RestController
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public class CommonController{
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private static final Logger logger = LoggerFactory.getLogger(CommonController.class);
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@Autowired
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private CommonService commonService;
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@Autowired
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private ConfigService configService;
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private static AipFace client = null;
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private static String BAIDU_DITU_AK = null;
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@RequestMapping("/location")
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public R location(String lng,String lat) {
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if(BAIDU_DITU_AK==null) {
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BAIDU_DITU_AK = configService.selectOne(new EntityWrapper<ConfigEntity>().eq("name", "baidu_ditu_ak")).getValue();
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if(BAIDU_DITU_AK==null) {
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return R.error("请在配置管理中正确配置baidu_ditu_ak");
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}
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}
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Map<String, String> map = BaiduUtil.getCityByLonLat(BAIDU_DITU_AK, lng, lat);
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return R.ok().put("data", map);
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}
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/**
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* 人脸比对
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*
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* @param face1 人脸1
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* @param face2 人脸2
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* @return
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*/
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@RequestMapping("/matchFace")
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public R matchFace(String face1, String face2, HttpServletRequest request) {
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if(client==null) {
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/*String AppID = configService.selectOne(new EntityWrapper<ConfigEntity>().eq("name", "AppID")).getValue();*/
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String APIKey = configService.selectOne(new EntityWrapper<ConfigEntity>().eq("name", "APIKey")).getValue();
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String SecretKey = configService.selectOne(new EntityWrapper<ConfigEntity>().eq("name", "SecretKey")).getValue();
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String token = BaiduUtil.getAuth(APIKey, SecretKey);
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if(token==null) {
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return R.error("请在配置管理中正确配置APIKey和SecretKey");
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}
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client = new AipFace(null, APIKey, SecretKey);
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client.setConnectionTimeoutInMillis(2000);
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client.setSocketTimeoutInMillis(60000);
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}
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JSONObject res = null;
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try {
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File file1 = new File(request.getSession().getServletContext().getRealPath("/upload")+"/"+face1);
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File file2 = new File(request.getSession().getServletContext().getRealPath("/upload")+"/"+face2);
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String img1 = Base64Util.encode(FileUtil.FileToByte(file1));
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String img2 = Base64Util.encode(FileUtil.FileToByte(file2));
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MatchRequest req1 = new MatchRequest(img1, "BASE64");
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MatchRequest req2 = new MatchRequest(img2, "BASE64");
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ArrayList<MatchRequest> requests = new ArrayList<MatchRequest>();
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requests.add(req1);
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requests.add(req2);
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res = client.match(requests);
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System.out.println(res.get("result"));
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} catch (FileNotFoundException e) {
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e.printStackTrace();
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return R.error("文件不存在");
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} catch (IOException e) {
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e.printStackTrace();
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}
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return R.ok().put("data", com.alibaba.fastjson.JSONObject.parse(res.get("result").toString()));
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}
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/**
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* 获取table表中的column列表(联动接口)
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* @return
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*/
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@RequestMapping("/option/{tableName}/{columnName}")
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@IgnoreAuth
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public R getOption(@PathVariable("tableName") String tableName, @PathVariable("columnName") String columnName,String level,String parent) {
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Map<String, Object> params = new HashMap<String, Object>();
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params.put("table", tableName);
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params.put("column", columnName);
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if(StringUtils.isNotBlank(level)) {
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params.put("level", level);
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}
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if(StringUtils.isNotBlank(parent)) {
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params.put("parent", parent);
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}
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List<String> data = commonService.getOption(params);
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return R.ok().put("data", data);
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}
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/**
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* 根据table中的column获取单条记录
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* @return
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*/
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@RequestMapping("/follow/{tableName}/{columnName}")
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@IgnoreAuth
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public R getFollowByOption(@PathVariable("tableName") String tableName, @PathVariable("columnName") String columnName, @RequestParam String columnValue) {
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Map<String, Object> params = new HashMap<String, Object>();
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params.put("table", tableName);
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params.put("column", columnName);
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params.put("columnValue", columnValue);
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Map<String, Object> result = commonService.getFollowByOption(params);
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return R.ok().put("data", result);
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}
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/**
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* 修改table表的sfsh状态
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* @param map
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* @return
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*/
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@RequestMapping("/sh/{tableName}")
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public R sh(@PathVariable("tableName") String tableName, @RequestBody Map<String, Object> map) {
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map.put("table", tableName);
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commonService.sh(map);
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return R.ok();
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}
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/**
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* 获取需要提醒的记录数
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* @param tableName
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* @param columnName
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* @param type 1:数字 2:日期
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* @param map
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* @return
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*/
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@RequestMapping("/remind/{tableName}/{columnName}/{type}")
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@IgnoreAuth
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public R remindCount(@PathVariable("tableName") String tableName, @PathVariable("columnName") String columnName,
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@PathVariable("type") String type,@RequestParam Map<String, Object> map) {
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map.put("table", tableName);
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map.put("column", columnName);
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map.put("type", type);
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if(type.equals("2")) {
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SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd");
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Calendar c = Calendar.getInstance();
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Date remindStartDate = null;
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Date remindEndDate = null;
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if(map.get("remindstart")!=null) {
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Integer remindStart = Integer.parseInt(map.get("remindstart").toString());
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c.setTime(new Date());
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c.add(Calendar.DAY_OF_MONTH,remindStart);
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remindStartDate = c.getTime();
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map.put("remindstart", sdf.format(remindStartDate));
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}
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if(map.get("remindend")!=null) {
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Integer remindEnd = Integer.parseInt(map.get("remindend").toString());
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c.setTime(new Date());
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c.add(Calendar.DAY_OF_MONTH,remindEnd);
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remindEndDate = c.getTime();
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map.put("remindend", sdf.format(remindEndDate));
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}
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}
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int count = commonService.remindCount(map);
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return R.ok().put("count", count);
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}
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/**
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* 圖表统计
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*/
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@IgnoreAuth
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@RequestMapping("/group/{tableName}")
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public R group1(@PathVariable("tableName") String tableName, @RequestParam Map<String,Object> params) {
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params.put("table1", tableName);
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List<Map<String, Object>> result = commonService.chartBoth(params);
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return R.ok().put("data", result);
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}
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/**
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* 单列求和
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*/
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@RequestMapping("/cal/{tableName}/{columnName}")
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@IgnoreAuth
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public R cal(@PathVariable("tableName") String tableName, @PathVariable("columnName") String columnName) {
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Map<String, Object> params = new HashMap<String, Object>();
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params.put("table", tableName);
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params.put("column", columnName);
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Map<String, Object> result = commonService.selectCal(params);
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return R.ok().put("data", result);
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}
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/**
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* 分组统计
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*/
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@RequestMapping("/group/{tableName}/{columnName}")
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@IgnoreAuth
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public R group(@PathVariable("tableName") String tableName, @PathVariable("columnName") String columnName) {
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Map<String, Object> params = new HashMap<String, Object>();
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params.put("table", tableName);
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params.put("column", columnName);
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List<Map<String, Object>> result = commonService.selectGroup(params);
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return R.ok().put("data", result);
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}
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/**
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* （按值统计）
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*/
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@RequestMapping("/value/{tableName}/{xColumnName}/{yColumnName}")
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@IgnoreAuth
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public R value(@PathVariable("tableName") String tableName, @PathVariable("yColumnName") String yColumnName, @PathVariable("xColumnName") String xColumnName) {
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Map<String, Object> params = new HashMap<String, Object>();
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params.put("table", tableName);
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params.put("xColumn", xColumnName);
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params.put("yColumn", yColumnName);
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List<Map<String, Object>> result = commonService.selectValue(params);
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return R.ok().put("data", result);
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}
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/**
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* 下面为新加的
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*
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*
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*
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*/
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/**
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* 查询字典表的分组求和
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* tableName 表名
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* groupColumn 分组字段
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* sumCloum 统计字段
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* @return
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*/
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@RequestMapping("/newSelectGroupSum")
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public R newSelectGroupSum(@RequestParam Map<String,Object> params) {
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logger.debug("newSelectGroupSum:,,Controller:{},,params:{}",this.getClass().getName(),params);
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List<Map<String, Object>> result = commonService.newSelectGroupSum(params);
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return R.ok().put("data", result);
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}
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/**
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tableName 查询表
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condition1 条件1
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condition1Value 条件1值
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average 计算平均评分
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取值
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有值 Number(res.data.value.toFixed(1))
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无值 if(res.data){}
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* */
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@IgnoreAuth
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@RequestMapping("/queryScore")
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public R queryScore(@RequestParam Map<String, Object> params) {
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logger.debug("queryScore:,,Controller:{},,params:{}",this.getClass().getName(),params);
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Map<String, Object> queryScore = commonService.queryScore(params);
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return R.ok().put("data", queryScore);
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}
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/**
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* 查询字典表的分组统计总条数
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* tableName 表名
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* groupColumn 分组字段
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* @return
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*/
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@RequestMapping("/newSelectGroupCount")
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public R newSelectGroupCount(@RequestParam Map<String,Object> params) {
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logger.debug("newSelectGroupCount:,,Controller:{},,params:{}",this.getClass().getName(),params);
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List<Map<String, Object>> result = commonService.newSelectGroupCount(params);
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return R.ok().put("data", result);
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}
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/**
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* 当前表的日期分组求和
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* tableName 表名
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* groupColumn 分组字段
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* sumCloum 统计字段
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* dateFormatType 日期格式化类型 1:年 2:月 3:日
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* @return
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*/
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@RequestMapping("/newSelectDateGroupSum")
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public R newSelectDateGroupSum(@RequestParam Map<String,Object> params) {
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logger.debug("newSelectDateGroupSum:,,Controller:{},,params:{}",this.getClass().getName(),params);
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String dateFormatType = String.valueOf(params.get("dateFormatType"));
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if("1".equals(dateFormatType)){
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params.put("dateFormat", "%Y");
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}else if("2".equals(dateFormatType)){
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params.put("dateFormat", "%Y-%m");
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}else if("3".equals(dateFormatType)){
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params.put("dateFormat", "%Y-%m-%d");
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}else{
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R.error("日期格式化不正确");
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}
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List<Map<String, Object>> result = commonService.newSelectDateGroupSum(params);
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return R.ok().put("data", result);
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}
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/**
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*
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* 查询字典表的分组统计总条数
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* tableName 表名
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* groupColumn 分组字段
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* dateFormatType 日期格式化类型 1:年 2:月 3:日
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* @return
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*/
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@RequestMapping("/newSelectDateGroupCount")
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public R newSelectDateGroupCount(@RequestParam Map<String,Object> params) {
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logger.debug("newSelectDateGroupCount:,,Controller:{},,params:{}",this.getClass().getName(),params);
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String dateFormatType = String.valueOf(params.get("dateFormatType"));
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if("1".equals(dateFormatType)){
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params.put("dateFormat", "%Y");
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}else if("2".equals(dateFormatType)){
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params.put("dateFormat", "%Y-%m");
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}else if("3".equals(dateFormatType)){
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params.put("dateFormat", "%Y-%m-%d");
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}else{
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R.error("日期格式化类型不正确");
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}
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List<Map<String, Object>> result = commonService.newSelectDateGroupCount(params);
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return R.ok().put("data", result);
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}
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/**
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* 饼状图
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* -- 饼状图 查询当前表
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-- 查询字典表【月】
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-- 统计 -- 查询某个月的每个类型的订单销售数量
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-- 求和 -- 查询某个月的每个类型的订单销售额
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-- 查询某个字符串【月】
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-- 统计 -- 查询某个月的每个员工的订单销售数量
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-- 求和 -- 查询某个月的每个员工的订单销售额
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-- 查询时间【年】
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-- 统计 -- 查询每个月的订单销售数量
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-- 求和 -- 查询每个月的订单销售额
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-- 饼状图 查询级联表
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-- 查询字典表
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-- 统计 -- 查询某个月的每个类型的订单销售数量
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-- 求和 -- 查询某个月的每个类型的订单销售额
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-- 查询某个字符串
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-- 统计 -- 查询某个月的每个员工的订单销售数量
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-- 求和 -- 查询某个月的每个员工的订单销售额
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-- 查询时间
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-- 统计 -- 统计每个月的订单销售数量
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-- 求和 -- 查询每个月的订单销售额
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*/
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/**
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* 柱状图
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-- 柱状图 查询当前表
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-- 某个【年，月】
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-- 当前表 2 级联表 1
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-- 统计
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-- 【日期，字符串，下拉框】
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-- 求和
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-- 【日期，字符串，下拉框】
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-- 柱状图 查询级联表
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-- 某个【年，月】
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-- 统计
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-- 【日期，字符串，下拉框】
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-- 求和
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-- 【日期，字符串，下拉框】
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*/
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/**
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* 柱状图求和
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*/
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@RequestMapping("/barSum")
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public R barSum(@RequestParam Map<String,Object> params) {
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logger.debug("barSum方法:,,Controller:{},,params:{}",this.getClass().getName(), com.alibaba.fastjson.JSONObject.toJSONString(params));
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Boolean isJoinTableFlag = false;//是否有级联表相关
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String one = "";//第一优先
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String two = "";//第二优先
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//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
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//当前表
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Map<String,Object> thisTable = JSON.parseObject(String.valueOf(params.get("thisTable")),Map.class);
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params.put("thisTable",thisTable);
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//级联表
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String joinTableString = String.valueOf(params.get("joinTable"));
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if(StringUtil.isNotEmpty(joinTableString)) {
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Map<String, Object> joinTable = JSON.parseObject(joinTableString, Map.class);
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params.put("joinTable", joinTable);
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isJoinTableFlag = true;
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}
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if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("date")))){//当前表日期
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thisTable.put("date",String.valueOf(thisTable.get("date")).split(","));
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one = "thisDate0";
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}
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if(isJoinTableFlag){//级联表日期
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Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");
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if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("date")))){
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joinTable.put("date",String.valueOf(joinTable.get("date")).split(","));
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if(StringUtil.isEmpty(one)){
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one ="joinDate0";
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}else{
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if(StringUtil.isEmpty(two)){
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two ="joinDate0";
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}
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}
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}
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}
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if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("string")))){//当前表字符串
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thisTable.put("string",String.valueOf(thisTable.get("string")).split(","));
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if(StringUtil.isEmpty(one)){
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one ="thisString0";
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}else{
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if(StringUtil.isEmpty(two)){
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two ="thisString0";
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}
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}
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}
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if(isJoinTableFlag){//级联表字符串
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Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");
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if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("string")))){
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joinTable.put("string",String.valueOf(joinTable.get("string")).split(","));
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if(StringUtil.isEmpty(one)){
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one ="joinString0";
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}else{
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if(StringUtil.isEmpty(two)){
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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("数值");
|
|
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
|
|
*/
|
|
@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("数值");
|
|
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);
|
|
}
|
|
}
|