ssm+vue广告管理系统源码和论文294
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
广告管理系统
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管理系统。本文介绍了广告管理系统的开发全过程。通过分析企业对于广告管理系统的需求，创建了一个计算机管理广告管理系统的方案。文章介绍了广告管理系统的系统分析部分，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。
本广告管理系统有管理员，广告客户，广告商，广告制作商。
管理员功能有个人中心，广告客户管理，广告商管理，广告制作商管理，广告投放渠道管理等。
广告客户功能有个人中心，广告投放渠道管理，广告需求管理，广告提案管理，广告设计预览管理，广告调整信息管理，广告签署管理，广告结算管理。
广告商功能有个人中心，广告需求管理，广告提案管理，广告制作需求管理，广告设计图交付管理，广告设计预览管理，广告调整信息管理，广告签署管理，广告结算管理。
广告制作商功能有个人中心，广告制作需求管理，广告设计图交付管理。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，使得广告管理系统管理工作系统化、规范化。
关键词：广告管理系统；SSM框架；MYSQL数据库
Abstract
With the rapid development of information Internet shopping, most companies create their own management systems. This article introduces the whole development process of the advertising management system. By analyzing the needs of the company for the advertising management system, a solution for computer management of the advertising management system was created. The article introduces the system analysis part of the advertising management system, including feasibility analysis, etc. The system design part mainly introduces the system function design and database design.
This advertisement management system has administrators, advertisers, advertisers, and advertisement producers.
Administrator functions include personal center, advertiser management, advertiser management, advertising producer management, and advertising channel management.
Advertiser functions include personal center, advertisement delivery channel management, advertisement demand management, advertisement proposal management, advertisement design preview management, advertisement adjustment information management, advertisement signing management, and advertisement settlement management.
Advertiser functions include personal center, advertisement demand management, advertisement proposal management, advertisement production demand management, advertisement design drawing delivery management, advertisement design preview management, advertisement adjustment information management, advertisement signing management, and advertisement settlement management.
Advertisement maker functions include personal center, advertisement production demand management, and advertisement design drawing delivery management. So it has a certain practicability.
This site is a B/S mode 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 the advertising management system systematized and standardized.
Keywords:Advertising management system; 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");
}
}