ssm四六级报名与成绩查询系统源码和论文

ssm四六级报名与成绩查询系统源码和论文125

 开发工具：idea 
 数据库mysql5.7+
 数据库链接工具：navcat,小海豚等
  技术：ssm

摘  要

互联网发展至今，无论是其理论还是技术都已经成熟，而且它广泛参与在社会中的方方面面。它让信息都可以通过网络传播，搭配信息管理工具可以很好地为人们提供服务。针对四六级报名信息管理混乱，出错率高，信息安全性差，劳动强度大，费时费力等问题，采用四六级报名与成绩查询系统可以有效管理，使信息管理能够更加科学和规范。

四六级报名与成绩查询系统在Eclipse环境中，使用Java语言进行编码，使用Mysql创建数据表保存本系统产生的数据。系统可以提供信息显示和相应服务，其管理员管理考试和考场信息，管理学生，成绩以及老师信息。老师查询考试以及考场信息，管理学生成绩，查看公告。学生对四六级考试进行报名，查询考场以及考试成绩。

总之，四六级报名与成绩查询系统集中管理信息，有着保密性强，效率高，存储空间大，成本低等诸多优点。它可以降低信息管理成本，实现信息管理计算机化。

关键词：四六级报名与成绩查询系统；Java语言；Mysql

Abstract

Since the development of the Internet, both its theory and technology have matured, and it has been widely involved in all aspects of society. It allows information to be disseminated through the Internet, and it can serve people well with information management tools. In view of the chaotic management of the registration information of the fourth and sixth levels, high error rate, poor information security, high labor intensity, and time-consuming and labor-intensive problems, the use of the fourth and sixth level registration and score inquiry system can be effectively managed, and the information management can be more scientific and standardized.

The registration and score query system for levels four and six is ​​in the Eclipse environment, using Java language for coding, and using Mysql to create a data table to save the data generated by the system. The system can provide information display and corresponding services. Its administrator manages exams and exam room information, manages students, grades, and teacher information. Teachers inquire about exams and exam room information, manage student scores, and view announcements. Students register for CET-4 and CET-6 exams, check the examination room and test results.

In short, the registration and score query system for levels 4 and 6 centrally manages information, which has many advantages such as strong confidentiality, high efficiency, large storage space, and low cost. It can reduce the cost of information management and realize the computerization of information management.

Key Words：Level 4 and 6 registration and score query system; Java language; Mysql

package com.controller;

import java.io.File;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Calendar;
import java.util.Date;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

import javax.servlet.http.HttpServletRequest;

import org.apache.commons.lang3.StringUtils;
import org.json.JSONObject;
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{
	@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
	 * @param tableName  		表名
	 * @param groupColumn  		分组字段
	 * @param sumCloum			统计字段
	 * @return
	 */
	@RequestMapping("/sum/group/{tableName}/{groupColumn}/{sumCloum}")
	@IgnoreAuth
	public R newSelectGroupSum(@PathVariable("tableName") String tableName, @PathVariable("groupColumn") String groupColumn, @PathVariable("sumCloum") String sumCloum) {
		Map<String, Object> params = new HashMap<String, Object>();
		params.put("tableName", tableName);
		params.put("groupColumn", groupColumn);
		params.put("sumColumn", sumCloum);
		List<Map<String, Object>> result = commonService.newSelectGroupSum(params);
		return R.ok().put("data", result);
	}

	/**
	 * 查询字典表的分组统计总条数
	 * @param tableName  		表名
	 * @param groupColumn  		分组字段
	 * @return
	 */
	@RequestMapping("/count/group/{tableName}/{groupColumn}")
	@IgnoreAuth
	public R newSelectGroupCount(@PathVariable("tableName") String tableName, @PathVariable("groupColumn") String groupColumn) {
		Map<String, Object> params = new HashMap<String, Object>();
		params.put("tableName", tableName);
		params.put("groupColumn", groupColumn);
		List<Map<String, Object>> result = commonService.newSelectGroupCount(params);
		return R.ok().put("data", result);
	}


	/**
	 * 当前表的日期分组求和
	 * @param tableName  		表名
	 * @param groupColumn  		分组字段
	 * @param sumCloum			统计字段
	 * @param dateFormatType	日期格式化类型   1:年 2:月 3:日
	 * @return
	 */
	//				 /sum/group/cheliangjilu/insert_time /monery    /%Y-%m
	@RequestMapping("/sum/group/{tableName}/{groupColumn}/{sumCloum}/{dateFormatType}")
	@IgnoreAuth
	public R newSelectDateGroupSum(@PathVariable("tableName") String tableName, @PathVariable("groupColumn") String groupColumn, @PathVariable("sumCloum") String sumCloum, @PathVariable("dateFormatType") String dateFormatType) {
		Map<String, Object> params = new HashMap<String, Object>();
		params.put("tableName", tableName);
		params.put("groupColumn", groupColumn);
		params.put("sumColumn", sumCloum);
		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
	 * @param tableName  		表名
	 * @param groupColumn  		分组字段
	 * @param dateFormatType	日期格式化类型   1:年 2:月 3:日
	 * @return
	 */
	@RequestMapping("/count/group/{tableName}/{groupColumn}/{dateFormatType}")
	@IgnoreAuth
	public R newSelectDateGroupCount(@PathVariable("tableName") String tableName, @PathVariable("groupColumn") String groupColumn, @PathVariable("dateFormatType") String dateFormatType) {
		Map<String, Object> params = new HashMap<String, Object>();
		params.put("tableName", tableName);
		params.put("groupColumn", groupColumn);
		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);
	}



}