基于SSM+Vue的随心淘网管理系统ssm302
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
1. 课题研究的目的和意义
1.1 基于SSM+Vue的随心淘网管理系统的目的
背景:基于SSM+Vue的随心淘网管理系统是现在对目前电商平台进行详细调研分析后提出应该开发的一套软件产品,主要目的是通过网络平台方便商家进行商品订单管理并让客户有更好的购物体验。以商家在后端提供商品供客户在前端商城选购,客户将所需的商品加入购物车,然后通过结算购物车功能填写相应信息生成订单,付款以后再由商家在后端接收到订单进行处理并发货,同时本系统还提供了会员卡功能,用户可以通过每月购买虚拟会员卡,享受会员专属活动和相应折扣,方便商家管理的同时也大大优化了客户的购物体验。
1.2 基于SSM+Vue的随心淘网管理系统的意义
随着我国电子商务市场的不断发展壮大,对人民的购物方式也产生了深远的影响。网上购物已经成为了现代人们平时购买商品常用的一种方式,以至于实用便捷的网络商城逐渐成为了广大开发者越来越关心和研究的重点。电子商务网络购物平台的研发可以帮商家促进产品的销售并提供更多的产品销售渠道,而且网络商城具备一个普通商城永远无法达成的特点,不受时间和空间的影响,只要能够登陆网络,就能随时随地进行购物,然后在家里等候送货上门。除此之外,网络购物平台所需的运营成本投资更少,效率也更高,为中小企业提供了一个平台,同时节省了商户进入该平台的成本。网络商城的实用性,无论是对开发者关于便捷性和实用性的系统分析、监管者的有效监控、还是对于作为用户使用体验最优化的实现,都有着极其深远的意义。根据网络商城本身的性质,来分析其未来前景,可以为广大开发者开发、普通用户的购物选择提供重要的参考依据。






























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");
}
}
本文介绍基于SSM+Vue的随心淘网管理系统,开发工具可用idea或eclipse,数据库采用mysql5.7+。该系统目的是方便商家管理商品订单、优化客户购物体验,还具备会员卡功能。其意义在于促进电商发展,降低运营成本,对开发者、监管者和用户都有重要价值。
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