ssm+vue student academic warning system source code and papers

Design and implementation of ssm+vue student academic status early warning system 282

Development tools: idea or eclipse
 database mysql5.7+
 database link tools: navcat, little dolphin and other
  technologies: ssm

In our country, most universities are currently using the traditional performance management model in applying performance management systems, and the functions of the information system itself are mostly focused on the recording and statistics of performance data. Moreover, university education informatization work started relatively late. The reason is that this is closely related to the overall development level of computers in our country. Computer-related technologies originated in developed countries such as Europe and the United States. The development of computer technology in developing countries lags behind developed countries in both time and technology. In the mid-1980s, computer hardware and software products were first introduced into my country. In the following ten years, independent computer-related technology research and development was relatively slow. It was not until the mid-to-late 1980s that some enterprises and institutions in my country successively conducted research and development of management information systems. Management information systems are gradually being used in finance, real estate, education and other fields. The performance management system was one of the earliest management information systems to be applied in the field of education. The early development technology of the performance management system was relatively backward, and the system lacked certain functional scalability. Since the computer hardware conditions at that time were not mature, the performance management system was also not mature. Only basic work such as score entry and basic statistics can be completed. In the early 1990s, B/S architecture software systems based on the Internet environment became popular, and the advantages of B/S architecture software systems gradually became prominent. Many management information systems also underwent architectural adjustments, making the technical architecture of the performance management system new definition. Foreign management information systems have also experienced a development process in terms of technology. At first, management information systems were generally based on the C/S architecture software model, and the technologies used were mostly Visual Basic, Power Builder, Delphi and other technologies. Now they are also It began to develop in the direction of B/S, and new products gradually began to appear.

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.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
	 * @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) {
		logger.debug("newSelectGroupSum:,,Controller:{},,tableName:{},groupColumn:{},sumCloum:{}",this.getClass().getName(),tableName,groupColumn,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) {
		logger.debug("newSelectGroupCount:,,Controller:{},,tableName:{},groupColumn:{}",this.getClass().getName(),tableName,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
	 */
	@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) {
		logger.debug("newSelectDateGroupSum:,,Controller:{},,tableName:{},groupColumn:{},sumCloum:{},dateFormatType:{}",this.getClass().getName(),tableName,groupColumn,sumCloum,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) {
		logger.debug("newSelectDateGroupCount:,,Controller:{},,tableName:{},groupColumn:{},dateFormatType:{}",this.getClass().getName(),tableName,groupColumn,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);
	}

	/**
	 * 字段加数字
	 * @param tableName 表名
	 * @param id		id
	 * @param column	字段
	 * @param number	数量
	 * @return
	 */
	@RequestMapping("/plus/{tableName}/{id}/{column}/{number}")
	public R plusCloumNumber(@PathVariable("tableName") String tableName, @PathVariable("id") Integer id, @PathVariable("column") String column, @PathVariable("number") String number) {
		logger.debug("plusCloumNumber:,,Controller:{},,tableName:{},id:{},column:{},number:{}",this.getClass().getName(),tableName,id,column,number);
		Map<String, Object> params = new HashMap<String, Object>();
		params.put("tableName", tableName);
		params.put("id", id);
		params.put("column", column);
		params.put("number", number);
		int i = commonService.plusCloumNumber(params);
		if(i>0){
			return R.ok();
		}
		return R.error("添加失败");
	}

	/**
	 * 字段减数字
	 * @param tableName
	 * @param id
	 * @param column
	 * @param number
	 * @return
	 */
	@RequestMapping("/reduce/{tableName}/{id}/{column}/{number}")
	public R reduceCloumNumber(@PathVariable("tableName") String tableName, @PathVariable("id") Integer id, @PathVariable("column") String column, @PathVariable("number") String number) {
		logger.debug("reduceCloumNumber:,,Controller:{},,tableName:{},id:{},column:{},number:{}",this.getClass().getName(),tableName,id,column,number);
		Map<String, Object> params = new HashMap<String, Object>();
		params.put("tableName", tableName);
		params.put("id", id);
		params.put("column", column);
		params.put("number", number);
		int i = commonService.reduceCloumNumber(params);
		if(i>0){
			return R.ok();
		}
		return R.error("添加失败");
	}

	@RequestMapping("/update/{tableName}/{id}/{column}/{value}")
	public R updateCloumValue(@PathVariable("tableName") String tableName, @PathVariable("id") Integer id, @PathVariable("column") String column, @PathVariable("value") String value) {
		logger.debug("updateCloumValue:,,Controller:{},,tableName:{},id:{},column:{},number:{}",this.getClass().getName(),tableName,id,column,value);
		Map<String, Object> params = new HashMap<String, Object>();
		params.put("tableName", tableName);
		params.put("id", id);
		params.put("column", column);
		params.put("value", value);
		int i = commonService.updateCloumValue(params);
		if(i>0){
			return R.ok();
		}
		return R.error("添加失败");
	}



}

 

Guess you like

Origin blog.csdn.net/weixin_46437112/article/details/133339273