【包调试】基于ssm vue学生考勤管理系统源码和文档

开发工具：idea 

 数据库mysql5.7+(mysql5.7最佳)

 数据库链接工具：navcat,小海豚等

开发技术：java  ssm tomcat8.5

【751】基于ssm vue学生考勤管理系统

基于Web的学生考勤管理系统的设计与实现

摘  要

当下，正处于信息化的时代，许多行业顺应时代的变化，结合使用计算机技术向数字化、信息化建设迈进。以前学校对于学生考勤信息的管理和控制，采用人工登记的方式保存相关数据，这种以人力为主的管理模式已然落后。本人结合使用主流的程序开发技术，设计了一款基于Web的学生考勤管理系统，可以较大地减少人力、财力的损耗，方便相关人员及时更新和保存信息。本系统主要以B/S模式进行实现，在idea集成平台上，运用Java语言编写相关代码，设计相关的系统功能模块，MySQL数据库存放数据资源，管理和控制相关的系统信息，SSM框架设计和开发系统功能架构，最后通过使用Tomcat服务器，在浏览器中发布设计的系统，并且完成系统与数据库的交互工作。本文对系统进行实现的可行性分析，设计的功能及数据库规划，以及设计的主要功能模块测试等内容做了较为详细的介绍，并且在本文中也展示了系统主要的功能模块设计界面和操作界面，并对其做出了必要的解释说明，方便用户对系统进行操作和使用，以及后期的相关人员对系统进行更新和维护。本系统的实现可以极大地提高学校的工作效率，提升用户的使用体验，因此在现实生活中运用本系统具有很大的使用价值。

关键词：学生考勤管理；Java语言；B/S结构；MySQL数据库

Design and Implementation of Web-based Student Attendance Management System

Abstract

At present, we are in the era of informationization. Many industries conform to the changes of the times and use computer technology to move towards digitalization and informationization. In the past, schools used manual registration to save relevant data for the management and control of student attendance information. This manpower-based management model has fallen behind. I have designed a Web-based student attendance management system using mainstream program development technology, which can greatly reduce the loss of human and financial resources and facilitate relevant personnel to update and save information in a timely manner. This system is mainly implemented in B/S mode. On the idea integration platform, Java language is used to write relevant codes, design relevant system function modules, MySQL database stores data resources, manages and controls relevant system information, SSM framework design and development System function architecture, and finally publish the designed system in the browser by using the Tomcat server, and complete the interaction between the system and the database. In this paper, the feasibility analysis of the system implementation, the design function and database planning, as well as the main function module testing of the design are introduced in detail, and the main function module design interface and operation interface of the system are also shown in this paper. , and make necessary explanations for it, which is convenient for users to operate and use the system, and the relevant personnel to update and maintain the system later. The realization of this system can greatly improve the school's work efficiency and enhance the user's experience, so the application of this system in real life has great use value.

Key words: Student attendance management; Java language; B/S structure; MySQL database

package com.controller;

import java.io.File;
import java.io.FileNotFoundException;
import java.io.IOException;
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.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;
	
	@Autowired
	private ConfigService configService;
	
	private static AipFace client = null;
	
	private static String BAIDU_DITU_AK = null;
	
	@RequestMapping("/location")
	public R location(String lng,String lat) {
		if(BAIDU_DITU_AK==null) {
			BAIDU_DITU_AK = configService.selectOne(new EntityWrapper<ConfigEntity>().eq("name", "baidu_ditu_ak")).getValue();
			if(BAIDU_DITU_AK==null) {
				return R.error("请在配置管理中正确配置baidu_ditu_ak");
			}
		}
		Map<String, String> map = BaiduUtil.getCityByLonLat(BAIDU_DITU_AK, lng, lat);
		return R.ok().put("data", map);
	}
	
	/**
	 * 人脸比对
	 * 
	 * @param face1 人脸1
	 * @param face2 人脸2
	 * @return
	 */
	@RequestMapping("/matchFace")
	public R matchFace(String face1, String face2, HttpServletRequest request) {
		if(client==null) {
			/*String AppID = configService.selectOne(new EntityWrapper<ConfigEntity>().eq("name", "AppID")).getValue();*/
			String APIKey = configService.selectOne(new EntityWrapper<ConfigEntity>().eq("name", "APIKey")).getValue();
			String SecretKey = configService.selectOne(new EntityWrapper<ConfigEntity>().eq("name", "SecretKey")).getValue();
			String token = BaiduUtil.getAuth(APIKey, SecretKey);
			if(token==null) {
				return R.error("请在配置管理中正确配置APIKey和SecretKey");
			}
			client = new AipFace(null, APIKey, SecretKey);
			client.setConnectionTimeoutInMillis(2000);
			client.setSocketTimeoutInMillis(60000);
		}
		JSONObject res = null;
		try {
			File file1 = new File(request.getSession().getServletContext().getRealPath("/upload")+"/"+face1);
			File file2 = new File(request.getSession().getServletContext().getRealPath("/upload")+"/"+face2);
			String img1 = Base64Util.encode(FileUtil.FileToByte(file1));
			String img2 = Base64Util.encode(FileUtil.FileToByte(file2));
			MatchRequest req1 = new MatchRequest(img1, "BASE64");
			MatchRequest req2 = new MatchRequest(img2, "BASE64");
			ArrayList<MatchRequest> requests = new ArrayList<MatchRequest>();
			requests.add(req1);
			requests.add(req2);
			res = client.match(requests);
			System.out.println(res.get("result"));
		} catch (FileNotFoundException e) {
			e.printStackTrace();
			return R.error("文件不存在");
		} catch (IOException e) {
			e.printStackTrace();
		} 
		return R.ok().put("data", com.alibaba.fastjson.JSONObject.parse(res.get("result").toString()));
	}
    
	/**
	 * 获取table表中的column列表(联动接口)
	 * @return
	 */
	@RequestMapping("/option/{tableName}/{columnName}")
	@IgnoreAuth
	public R getOption(@PathVariable("tableName") String tableName, @PathVariable("columnName") String columnName,String level,String parent) {
		Map<String, Object> params = new HashMap<String, Object>();
		params.put("table", tableName);
		params.put("column", columnName);
		if(StringUtils.isNotBlank(level)) {
			params.put("level", level);
		}
		if(StringUtils.isNotBlank(parent)) {
			params.put("parent", parent);
		}
		List<String> data = commonService.getOption(params);
		return R.ok().put("data", data);
	}
	
	/**
	 * 根据table中的column获取单条记录
	 * @return
	 */
	@RequestMapping("/follow/{tableName}/{columnName}")
	@IgnoreAuth
	public R getFollowByOption(@PathVariable("tableName") String tableName, @PathVariable("columnName") String columnName, @RequestParam String columnValue) {
		Map<String, Object> params = new HashMap<String, Object>();
		params.put("table", tableName);
		params.put("column", columnName);
		params.put("columnValue", columnValue);
		Map<String, Object> result = commonService.getFollowByOption(params);
		return R.ok().put("data", result);
	}
	
	/**
	 * 修改table表的sfsh状态
	 * @param map
	 * @return
	 */
	@RequestMapping("/sh/{tableName}")
	public R sh(@PathVariable("tableName") String tableName, @RequestBody Map<String, Object> map) {
		map.put("table", tableName);
		commonService.sh(map);
		return R.ok();
	}
	
	/**
	 * 获取需要提醒的记录数
	 * @param tableName
	 * @param columnName
	 * @param type 1:数字 2:日期
	 * @param map
	 * @return
	 */
	@RequestMapping("/remind/{tableName}/{columnName}/{type}")
	@IgnoreAuth
	public R remindCount(@PathVariable("tableName") String tableName, @PathVariable("columnName") String columnName, 
						 @PathVariable("type") String type,@RequestParam Map<String, Object> map) {
		map.put("table", tableName);
		map.put("column", columnName);
		map.put("type", type);
		
		if(type.equals("2")) {
			SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd");
			Calendar c = Calendar.getInstance();
			Date remindStartDate = null;
			Date remindEndDate = null;
			if(map.get("remindstart")!=null) {
				Integer remindStart = Integer.parseInt(map.get("remindstart").toString());
				c.setTime(new Date()); 
				c.add(Calendar.DAY_OF_MONTH,remindStart);
				remindStartDate = c.getTime();
				map.put("remindstart", sdf.format(remindStartDate));
			}
			if(map.get("remindend")!=null) {
				Integer remindEnd = Integer.parseInt(map.get("remindend").toString());
				c.setTime(new Date());
				c.add(Calendar.DAY_OF_MONTH,remindEnd);
				remindEndDate = c.getTime();
				map.put("remindend", sdf.format(remindEndDate));
			}
		}
		
		int count = commonService.remindCount(map);
		return R.ok().put("count", count);
	}

	/**
	 * 圖表统计
	 */
	@IgnoreAuth
	@RequestMapping("/group/{tableName}")
	public R group1(@PathVariable("tableName") String tableName, @RequestParam Map<String,Object> params) {
		params.put("table1", tableName);
		List<Map<String, Object>> result = commonService.chartBoth(params);
		return R.ok().put("data", result);
	}


	/**
	 * 单列求和
	 */
	@RequestMapping("/cal/{tableName}/{columnName}")
	@IgnoreAuth
	public R cal(@PathVariable("tableName") String tableName, @PathVariable("columnName") String columnName) {
		Map<String, Object> params = new HashMap<String, Object>();
		params.put("table", tableName);
		params.put("column", columnName);
		Map<String, Object> result = commonService.selectCal(params);
		return R.ok().put("data", result);
	}
	
	/**
	 * 分组统计
	 */
	@RequestMapping("/group/{tableName}/{columnName}")
	@IgnoreAuth
	public R group(@PathVariable("tableName") String tableName, @PathVariable("columnName") String columnName) {
		Map<String, Object> params = new HashMap<String, Object>();
		params.put("table", tableName);
		params.put("column", columnName);
		List<Map<String, Object>> result = commonService.selectGroup(params);
		return R.ok().put("data", result);
	}
	
	/**
	 * （按值统计）
	 */
	@RequestMapping("/value/{tableName}/{xColumnName}/{yColumnName}")
	@IgnoreAuth
	public R value(@PathVariable("tableName") String tableName, @PathVariable("yColumnName") String yColumnName, @PathVariable("xColumnName") String xColumnName) {
		Map<String, Object> params = new HashMap<String, Object>();
		params.put("table", tableName);
		params.put("xColumn", xColumnName);
		params.put("yColumn", yColumnName);
		List<Map<String, Object>> result = commonService.selectValue(params);
		return R.ok().put("data", result);
	}


	/**
	 * 下面为新加的
	 *
	 *
	 *
	 */

	/**
	 * 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);
	}


    /**
     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);
	}


	/**
	 * 当前表的日期分组求和
	 * tableName  		表名
	 * groupColumn  		分组字段
	 * sumCloum			统计字段
	 * dateFormatType	日期格式化类型   1:年 2:月 3:日
	 * @return
	 */
	@RequestMapping("/newSelectDateGroupSum")
	public R newSelectDateGroupSum(@RequestParam Map<String,Object> params) {
		logger.debug("newSelectDateGroupSum:,,Controller:{},,params:{}",this.getClass().getName(),params);
		String dateFormatType = String.valueOf(params.get("dateFormatType"));
		if("1".equals(dateFormatType)){
			params.put("dateFormat", "%Y");
		}else if("2".equals(dateFormatType)){
			params.put("dateFormat", "%Y-%m");
		}else if("3".equals(dateFormatType)){
			params.put("dateFormat", "%Y-%m-%d");
		}else{
			R.error("日期格式化不正确");
		}
		List<Map<String, Object>> result = commonService.newSelectDateGroupSum(params);
		return R.ok().put("data", result);
	}

	/**
	 *
	 * 查询字典表的分组统计总条数
	 * tableName  		表名
	 * groupColumn  		分组字段
	 * dateFormatType	日期格式化类型   1:年 2:月 3:日
	 * @return
	 */
	@RequestMapping("/newSelectDateGroupCount")
	public R newSelectDateGroupCount(@RequestParam Map<String,Object> params) {
		logger.debug("newSelectDateGroupCount:,,Controller:{},,params:{}",this.getClass().getName(),params);
		String dateFormatType = String.valueOf(params.get("dateFormatType"));
		if("1".equals(dateFormatType)){
			params.put("dateFormat", "%Y");
		}else if("2".equals(dateFormatType)){
			params.put("dateFormat", "%Y-%m");
		}else if("3".equals(dateFormatType)){
			params.put("dateFormat", "%Y-%m-%d");
		}else{
			R.error("日期格式化类型不正确");
		}
		List<Map<String, Object>> result = commonService.newSelectDateGroupCount(params);
		return R.ok().put("data", result);
	}
/**
 * 饼状图
 * -- 饼状图  查询当前表
 -- 				查询字典表【月】
 -- 				 统计   -- 查询某个月的每个类型的订单销售数量
 -- 				 求和   -- 查询某个月的每个类型的订单销售额
 -- 				查询某个字符串【月】
 -- 				 统计   -- 查询某个月的每个员工的订单销售数量
 -- 				 求和   -- 查询某个月的每个员工的订单销售额
 -- 				查询时间【年】
 -- 				 统计 	-- 查询每个月的订单销售数量
 -- 				 求和 	-- 查询每个月的订单销售额
 -- 饼状图  查询级联表
 -- 				查询字典表
 -- 				 统计  	-- 查询某个月的每个类型的订单销售数量
 -- 				 求和   -- 查询某个月的每个类型的订单销售额
 -- 				查询某个字符串
 -- 				 统计   -- 查询某个月的每个员工的订单销售数量
 -- 				 求和   -- 查询某个月的每个员工的订单销售额
 -- 				查询时间
 -- 				 统计 	-- 统计每个月的订单销售数量
 -- 				 求和 	-- 查询每个月的订单销售额
 */


/**
 * 柱状图
 -- 柱状图  查询当前表
 --             某个【年，月】
 -- 			 当前表 2 级联表 1
 -- 						统计
 --   						【日期，字符串，下拉框】
 -- 						求和
 --   						【日期，字符串，下拉框】
 -- 柱状图  查询级联表
 -- 					某个【年，月】
 -- 						统计
 --   						【日期，字符串，下拉框】
 -- 						求和
 --   						【日期，字符串，下拉框】
 */

    /**
     * 柱状图求和
     */
    @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("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);
    }
}