基于ssm+vue的搬家预约系统源码和论文265
开发工具：idea 或eclipse
数据库mysql5.7+
数据库链接工具：navcat,小海豚等
技术：ssm
摘 要
进入21世纪，计算机技术迅速向着网络化的、集成化方向发展。传统的单机版应用软件正在逐渐退出舞台，取而代之的是支持网络、支持多种数据信息的新一代网络版应用软件，形成了信息化的社会。信息化社会的形成和微电子技术日新月异的发展，对落后低效的办公手段提出了挑战，信息是管理的基础，是进行决策的基本依据。本搬家预约系统是将IT技术用于搬家预约信息的管理, 它能够收集与存储搬家预约的档案信息，提供更新与检索搬家预约信息档案的接口；提高工作效率。
本系统是基于JAVA平台开发的一套搬家预约信息管理的系统。前端采用Vue渐进式框架，后台采用SSM框架。数据库采用MySQL建立数据之间的转换。论文主要介绍了本课题的开发背景，所要完成的功能和开发的过程。重点的说明了系统设计的重点、设计思想、难点技术和解决方案。
关键词:搬家预约系统；VUE；SSM
Abstract
In the 21st century, computer technology is developing rapidly towards networking and integration. The traditional stand-alone version of application software is gradually out of the stage, replaced by a new generation of network version of application software that supports the network and supports a variety of data information, forming an information society. The formation of information society and the rapid development of microelectronics technology challenge the backward and inefficient office means. Information is the foundation of management and the basic basis for decision-making. The restaurant moving reservation system uses IT technology for the management of moving reservation information, which can collect and store the file information of moving reservation, and provide an interface for updating and retrieving the file of moving reservation information;improve that work efficiency.
This system is based on JAVA platform development of a set of moving reservation information management system. The front-end uses Vue progressive framework and the back-end uses SSM framework. The database uses MySQL to establish the conversion between data. This paper mainly introduces the development background of this topic, the function to be completed and the development process. The emphasis of the system design, design ideas, difficult technology and solutions.
Keywords: Moving Reservation System;VUE;SSM
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");
}
}
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