ssm+vue校园二手交易网站设计与实现273
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
校园二手交易网站设计与实现
摘要
随着信息互联网购物的飞速发展，一般企业都去创建属于自己的电商平台以及购物管理系统。本文介绍了校园二手交易网站设计与实现的开发全过程。通过分析企业对于校园二手交易网站设计与实现的需求，创建了一个计算机管理校园二手交易网站设计与实现的方案。文章介绍了校园二手交易网站设计与实现的系统分析部分，包括可行性分析等，系统设计部分主要介绍了系统功能设计和数据库设计。
本校园二手交易网站设计与实现有管理员和用户两个角色。管理员功能有个人中心，用户管理，花材选择管理，二手商品信息管理，二手商品入库管理，二手商品出库管理，系统管理，订单管理等。用户功能有个人中心，我的订单，我的地址，我的收藏。因而具有一定的实用性。
本站是一个B/S模式系统，采用SSM框架作为开发技术，MYSQL数据库设计开发，充分保证系统的稳定性。系统具有界面清晰、操作简单，功能齐全的特点，使得校园二手交易网站设计与实现管理工作系统化、规范化。
关键词：校园二手交易网站设计与实现；SSM框架；MYSQL数据库
Abstract
With the rapid development of information Internet shopping, most companies create their own e-commerce platforms and shopping management systems. This article introduces the whole process of online flower shop development. By analyzing the enterprise's demand for online florists, a computer management program for online florists was created. The article introduces the system analysis part of the online flower shop, including feasibility analysis, etc. The system design part mainly introduces the system function design and database design.
This online flower shop has two roles: administrator and user. The administrator functions include personal center, user management, flower selection management, flower information management, fresh flower storage management, fresh flower storage management, system management, order management, etc. User functions include personal center, my order, my address, and my favorites. So it has a certain practicability.
This site is a B/S model system, using SSM framework as the development technology, MYSQL database design and development, fully guarantee the stability of the system. The system has the characteristics of clear interface, simple operation and complete functions, which makes the management of online florists systematized and standardized.
Keywords:Online flower shop; SSM framework; MYSQL database
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");
}
}
扫一扫
336
被折叠的 条评论
为什么被折叠?
到【灌水乐园】发言
