文章目录
- 校园外卖系统
- 一、项目演示
- 二、项目介绍
- 三、万字项目文档
- 四、部分功能截图
- 五、部分代码展示
- 六、底部获取项目源码带万字文档（9.9￥带走）
校园外卖系统
一、项目演示
校园外卖服务系统
二、项目介绍
语言：java 数据库：MySQL
技术栈：SpringBoot、Mybatis、Vue、Html
系统角色：用户、管理员
用户：注册、登录、首页、公告信息、外卖菜品、购物车、个人中心、外卖收藏、外卖订单、订单评价、修改密码
管理员：个人中心、公告类型管理、会员等级类型管理、外卖类型管理、公告信息管理、外卖评价管理、外卖收藏管理、外卖订单管理、用户管理、轮播图管理
三、万字项目文档
四、部分功能截图
五、部分代码展示
package com.controller;import java.io.File;
import java.math.BigDecimal;
import java.net.URL;
import java.text.SimpleDateFormat;
import com.alibaba.fastjson.JSONObject;
import java.util.*;
import org.springframework.beans.BeanUtils;
import javax.servlet.http.HttpServletRequest;
import org.springframework.web.context.ContextLoader;
import javax.servlet.ServletContext;
import com.service.TokenService;
import com.utils.*;
import java.lang.reflect.InvocationTargetException;import com.service.DictionaryService;
import org.apache.commons.lang3.StringUtils;
import com.annotation.IgnoreAuth;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.*;
import com.baomidou.mybatisplus.mapper.EntityWrapper;
import com.baomidou.mybatisplus.mapper.Wrapper;
import com.entity.*;
import com.entity.view.*;
import com.service.*;
import com.utils.PageUtils;
import com.utils.R;
import com.alibaba.fastjson.*;/*** 收货地址* 后端接口* @author* @email
*/
@RestController
@Controller
@RequestMapping("/address")
public class AddressController {private static final Logger logger = LoggerFactory.getLogger(AddressController.class);@Autowiredprivate AddressService addressService;@Autowiredprivate TokenService tokenService;@Autowiredprivate DictionaryService dictionaryService;//级联表service@Autowiredprivate YonghuService yonghuService;/*** 后端列表*/@RequestMapping("/page")public R page(@RequestParam Map<String, Object> params, HttpServletRequest request){logger.debug("page方法:,,Controller:{},,params:{}",this.getClass().getName(),JSONObject.toJSONString(params));String role = String.valueOf(request.getSession().getAttribute("role"));if(false)return R.error(511,"永不会进入");else if("用户".equals(role))params.put("yonghuId",request.getSession().getAttribute("userId"));if(params.get("orderBy")==null || params.get("orderBy")==""){params.put("orderBy","id");}PageUtils page = addressService.queryPage(params);//字典表数据转换List<AddressView> list =(List<AddressView>)page.getList();for(AddressView c:list){//修改对应字典表字段dictionaryService.dictionaryConvert(c, request);}return R.ok().put("data", page);}/*** 后端详情*/@RequestMapping("/info/{id}")public R info(@PathVariable("id") Long id, HttpServletRequest request){logger.debug("info方法:,,Controller:{},,id:{}",this.getClass().getName(),id);AddressEntity address = addressService.selectById(id);if(address !=null){//entity转viewAddressView view = new AddressView();BeanUtils.copyProperties( address , view );//把实体数据重构到view中//级联表YonghuEntity yonghu = yonghuService.selectById(address.getYonghuId());if(yonghu != null){BeanUtils.copyProperties( yonghu , view ,new String[]{ "id", "createTime", "insertTime", "updateTime"});//把级联的数据添加到view中,并排除id和创建时间字段view.setYonghuId(yonghu.getId());}//修改对应字典表字段dictionaryService.dictionaryConvert(view, request);return R.ok().put("data", view);}else {return R.error(511,"查不到数据");}}/*** 后端保存*/@RequestMapping("/save")public R save(@RequestBody AddressEntity address, HttpServletRequest request){logger.debug("save方法:,,Controller:{},,address:{}",this.getClass().getName(),address.toString());String role = String.valueOf(request.getSession().getAttribute("role"));if(false)return R.error(511,"永远不会进入");else if("用户".equals(role))address.setYonghuId(Integer.valueOf(String.valueOf(request.getSession().getAttribute("userId"))));Wrapper<AddressEntity> queryWrapper = new EntityWrapper<AddressEntity>().eq("yonghu_id", address.getYonghuId()).eq("address_name", address.getAddressName()).eq("address_phone", address.getAddressPhone()).eq("address_dizhi", address.getAddressDizhi()).eq("isdefault_types", address.getIsdefaultTypes());logger.info("sql语句:"+queryWrapper.getSqlSegment());AddressEntity addressEntity = addressService.selectOne(queryWrapper);if(addressEntity==null){address.setInsertTime(new Date());address.setCreateTime(new Date());Integer isdefaultTypes = address.getIsdefaultTypes();if(isdefaultTypes == 2 ){//如果当前的是默认地址，把当前用户的其他改为不是默认地址List<AddressEntity> addressEntitys = addressService.selectList(new EntityWrapper<AddressEntity>().eq("isdefault_types",2));if(addressEntitys != null && addressEntitys.size()>0){for(AddressEntity a:addressEntitys)a.setIsdefaultTypes(1);addressService.updateBatchById(addressEntitys);}}addressService.insert(address);return R.ok();}else {return R.error(511,"表中有相同数据");}}/*** 后端修改*/@RequestMapping("/update")public R update(@RequestBody AddressEntity address, HttpServletRequest request){logger.debug("update方法:,,Controller:{},,address:{}",this.getClass().getName(),address.toString());String role = String.valueOf(request.getSession().getAttribute("role"));
// if(false)
// return R.error(511,"永远不会进入");
// else if("用户".equals(role))
// address.setYonghuId(Integer.valueOf(String.valueOf(request.getSession().getAttribute("userId"))));//根据字段查询是否有相同数据Wrapper<AddressEntity> queryWrapper = new EntityWrapper<AddressEntity>().notIn("id",address.getId()).andNew().eq("yonghu_id", address.getYonghuId()).eq("address_name", address.getAddressName()).eq("address_phone", address.getAddressPhone()).eq("address_dizhi", address.getAddressDizhi()).eq("isdefault_types", address.getIsdefaultTypes());logger.info("sql语句:"+queryWrapper.getSqlSegment());AddressEntity addressEntity = addressService.selectOne(queryWrapper);address.setUpdateTime(new Date());if(addressEntity==null){Integer isdefaultTypes = address.getIsdefaultTypes();if(isdefaultTypes == 2 ){//如果当前的是默认地址，把当前用户的其他改为不是默认地址List<AddressEntity> addressEntitys = addressService.selectList(new EntityWrapper<AddressEntity>().eq("isdefault_types",2));if(addressEntitys != null && addressEntitys.size()>0){for(AddressEntity a:addressEntitys)a.setIsdefaultTypes(1);addressService.updateBatchById(addressEntitys);}}addressService.updateById(address);//根据id更新return R.ok();}else {return R.error(511,"表中有相同数据");}}/*** 删除*/@RequestMapping("/delete")public R delete(@RequestBody Integer[] ids){logger.debug("delete:,,Controller:{},,ids:{}",this.getClass().getName(),ids.toString());addressService.deleteBatchIds(Arrays.asList(ids));return R.ok();}/*** 批量上传*/@RequestMapping("/batchInsert")public R save( String fileName, HttpServletRequest request){logger.debug("batchInsert方法:,,Controller:{},,fileName:{}",this.getClass().getName(),fileName);Integer yonghuId = Integer.valueOf(String.valueOf(request.getSession().getAttribute("userId")));SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");try {List<AddressEntity> addressList = new ArrayList<>();//上传的东西Map<String, List<String>> seachFields= new HashMap<>();//要查询的字段Date date = new Date();int lastIndexOf = fileName.lastIndexOf(".");if(lastIndexOf == -1){return R.error(511,"该文件没有后缀");}else{String suffix = fileName.substring(lastIndexOf);if(!".xls".equals(suffix)){return R.error(511,"只支持后缀为xls的excel文件");}else{URL resource = this.getClass().getClassLoader().getResource("static/upload/" + fileName);//获取文件路径File file = new File(resource.getFile());if(!file.exists()){return R.error(511,"找不到上传文件，请联系管理员");}else{List<List<String>> dataList = PoiUtil.poiImport(file.getPath());//读取xls文件dataList.remove(0);//删除第一行，因为第一行是提示for(List<String> data:dataList){//循环AddressEntity addressEntity = new AddressEntity();
// addressEntity.setYonghuId(Integer.valueOf(data.get(0))); //创建用户 要改的
// addressEntity.setAddressName(data.get(0)); //收货人 要改的
// addressEntity.setAddressPhone(data.get(0)); //电话 要改的
// addressEntity.setAddressDizhi(data.get(0)); //地址 要改的
// addressEntity.setIsdefaultTypes(Integer.valueOf(data.get(0))); //是否默认地址 要改的
// addressEntity.setInsertTime(date);//时间
// addressEntity.setUpdateTime(sdf.parse(data.get(0))); //修改时间 要改的
// addressEntity.setCreateTime(date);//时间addressList.add(addressEntity);//把要查询是否重复的字段放入map中//电话if(seachFields.containsKey("addressPhone")){List<String> addressPhone = seachFields.get("addressPhone");addressPhone.add(data.get(0));//要改的}else{List<String> addressPhone = new ArrayList<>();addressPhone.add(data.get(0));//要改的seachFields.put("addressPhone",addressPhone);}}//查询是否重复//电话List<AddressEntity> addressEntities_addressPhone = addressService.selectList(new EntityWrapper<AddressEntity>().in("address_phone", seachFields.get("addressPhone")));if(addressEntities_addressPhone.size() >0 ){ArrayList<String> repeatFields = new ArrayList<>();for(AddressEntity s:addressEntities_addressPhone){repeatFields.add(s.getAddressPhone());}return R.error(511,"数据库的该表中的 [电话] 字段已经存在 存在数据为:"+repeatFields.toString());}addressService.insertBatch(addressList);return R.ok();}}}}catch (Exception e){e.printStackTrace();return R.error(511,"批量插入数据异常，请联系管理员");}}/*** 前端列表*/@IgnoreAuth@RequestMapping("/list")public R list(@RequestParam Map<String, Object> params, HttpServletRequest request){logger.debug("list方法:,,Controller:{},,params:{}",this.getClass().getName(),JSONObject.toJSONString(params));// 没有指定排序字段就默认id倒序if(StringUtil.isEmpty(String.valueOf(params.get("orderBy")))){params.put("orderBy","id");}PageUtils page = addressService.queryPage(params);//字典表数据转换List<AddressView> list =(List<AddressView>)page.getList();for(AddressView c:list)dictionaryService.dictionaryConvert(c, request); //修改对应字典表字段return R.ok().put("data", page);}/*** 前端详情*/@RequestMapping("/detail/{id}")public R detail(@PathVariable("id") Long id, HttpServletRequest request){logger.debug("detail方法:,,Controller:{},,id:{}",this.getClass().getName(),id);AddressEntity address = addressService.selectById(id);if(address !=null){//entity转viewAddressView view = new AddressView();BeanUtils.copyProperties( address , view );//把实体数据重构到view中//级联表YonghuEntity yonghu = yonghuService.selectById(address.getYonghuId());if(yonghu != null){BeanUtils.copyProperties( yonghu , view ,new String[]{ "id", "createDate"});//把级联的数据添加到view中,并排除id和创建时间字段view.setYonghuId(yonghu.getId());}//修改对应字典表字段dictionaryService.dictionaryConvert(view, request);return R.ok().put("data", view);}else {return R.error(511,"查不到数据");}}/*** 前端保存*/@RequestMapping("/add")public R add(@RequestBody AddressEntity address, HttpServletRequest request){logger.debug("add方法:,,Controller:{},,address:{}",this.getClass().getName(),address.toString());Wrapper<AddressEntity> queryWrapper = new EntityWrapper<AddressEntity>().eq("yonghu_id", address.getYonghuId()).eq("address_name", address.getAddressName()).eq("address_phone", address.getAddressPhone()).eq("address_dizhi", address.getAddressDizhi()).eq("isdefault_types", address.getIsdefaultTypes());logger.info("sql语句:"+queryWrapper.getSqlSegment());AddressEntity addressEntity = addressService.selectOne(queryWrapper);if(addressEntity==null){address.setInsertTime(new Date());address.setCreateTime(new Date());Integer isdefaultTypes = address.getIsdefaultTypes();if(isdefaultTypes == 2 ){//如果当前的是默认地址，把当前用户的其他改为不是默认地址List<AddressEntity> addressEntitys = addressService.selectList(new EntityWrapper<AddressEntity>().eq("isdefault_types",2));if(addressEntitys != null && addressEntitys.size()>0){for(AddressEntity a:addressEntitys)a.setIsdefaultTypes(1);addressService.updateBatchById(addressEntitys);}}addressService.insert(address);return R.ok();}else {return R.error(511,"表中有相同数据");}}}package com.controller;import java.io.File;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.text.SimpleDateFormat;
import java.util.*;import javax.servlet.http.HttpServletRequest;import com.alibaba.fastjson.JSON;
import com.utils.StringUtil;
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);@Autowiredprivate CommonService commonService;@Autowiredprivate 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}")@IgnoreAuthpublic 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}")@IgnoreAuthpublic 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}")@IgnoreAuthpublic 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}")@IgnoreAuthpublic 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}")@IgnoreAuthpublic 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}")@IgnoreAuthpublic 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* tableName 表名* groupColumn 分组字段* sumCloum 统计字段* @return*/@RequestMapping("/newSelectGroupSum")public R newSelectGroupSum(@RequestParam Map<String,Object> params) {logger.debug("newSelectGroupSum:,,Controller:{},,params:{}",this.getClass().getName(),params);List<Map<String, Object>> result = commonService.newSelectGroupSum(params);return R.ok().put("data", result);}/**tableName 查询表condition1 条件1condition1Value 条件1值average 计算平均评分取值有值 Number(res.data.value.toFixed(1))无值 if(res.data){}* */@IgnoreAuth@RequestMapping("/queryScore")public R queryScore(@RequestParam Map<String, Object> params) {logger.debug("queryScore:,,Controller:{},,params:{}",this.getClass().getName(),params);Map<String, Object> queryScore = commonService.queryScore(params);return R.ok().put("data", queryScore);}/*** 查询字典表的分组统计总条数* tableName 表名* groupColumn 分组字段* @return*/@RequestMapping("/newSelectGroupCount")public R newSelectGroupCount(@RequestParam Map<String,Object> params) {logger.debug("newSelectGroupCount:,,Controller:{},,params:{}",this.getClass().getName(),params);List<Map<String, Object>> result = commonService.newSelectGroupCount(params);return R.ok().put("data", result);}/*** 当前表的日期分组求和* tableName 表名* groupColumn 分组字段* sumCloum 统计字段* dateFormatType 日期格式化类型 1:年 2:月 3:日* @return*/@RequestMapping("/newSelectDateGroupSum")public R newSelectDateGroupSum(@RequestParam Map<String,Object> params) {logger.debug("newSelectDateGroupSum:,,Controller:{},,params:{}",this.getClass().getName(),params);String dateFormatType = String.valueOf(params.get("dateFormatType"));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* tableName 表名* groupColumn 分组字段* dateFormatType 日期格式化类型 1:年 2:月 3:日* @return*/@RequestMapping("/newSelectDateGroupCount")public R newSelectDateGroupCount(@RequestParam Map<String,Object> params) {logger.debug("newSelectDateGroupCount:,,Controller:{},,params:{}",this.getClass().getName(),params);String dateFormatType = String.valueOf(params.get("dateFormatType"));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);}
/*** 饼状图* -- 饼状图 查询当前表-- 查询字典表【月】-- 统计 -- 查询某个月的每个类型的订单销售数量-- 求和 -- 查询某个月的每个类型的订单销售额-- 查询某个字符串【月】-- 统计 -- 查询某个月的每个员工的订单销售数量-- 求和 -- 查询某个月的每个员工的订单销售额-- 查询时间【年】-- 统计 -- 查询每个月的订单销售数量-- 求和 -- 查询每个月的订单销售额-- 饼状图 查询级联表-- 查询字典表-- 统计 -- 查询某个月的每个类型的订单销售数量-- 求和 -- 查询某个月的每个类型的订单销售额-- 查询某个字符串-- 统计 -- 查询某个月的每个员工的订单销售数量-- 求和 -- 查询某个月的每个员工的订单销售额-- 查询时间-- 统计 -- 统计每个月的订单销售数量-- 求和 -- 查询每个月的订单销售额*//*** 柱状图-- 柱状图 查询当前表-- 某个【年，月】-- 当前表 2 级联表 1-- 统计-- 【日期，字符串，下拉框】-- 求和-- 【日期，字符串，下拉框】-- 柱状图 查询级联表-- 某个【年，月】-- 统计-- 【日期，字符串，下拉框】-- 求和-- 【日期，字符串，下拉框】*//*** 柱状图求和*/@RequestMapping("/barSum")public R barSum(@RequestParam Map<String,Object> params) {logger.debug("barSum方法:,,Controller:{},,params:{}",this.getClass().getName(), com.alibaba.fastjson.JSONObject.toJSONString(params));Boolean isJoinTableFlag = false;//是否有级联表相关String one = "";//第一优先String two = "";//第二优先//处理thisTable和joinTable 处理内容是把json字符串转为Map并把带有,的切割为数组//当前表Map<String,Object> thisTable = JSON.parseObject(String.valueOf(params.get("thisTable")),Map.class);params.put("thisTable",thisTable);//级联表String joinTableString = String.valueOf(params.get("joinTable"));if(StringUtil.isNotEmpty(joinTableString)) {Map<String, Object> joinTable = JSON.parseObject(joinTableString, Map.class);params.put("joinTable", joinTable);isJoinTableFlag = true;}if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("date")))){//当前表日期thisTable.put("date",String.valueOf(thisTable.get("date")).split(","));one = "thisDate0";}if(isJoinTableFlag){//级联表日期Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("date")))){joinTable.put("date",String.valueOf(joinTable.get("date")).split(","));if(StringUtil.isEmpty(one)){one ="joinDate0";}else{if(StringUtil.isEmpty(two)){two ="joinDate0";}}}}if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("string")))){//当前表字符串thisTable.put("string",String.valueOf(thisTable.get("string")).split(","));if(StringUtil.isEmpty(one)){one ="thisString0";}else{if(StringUtil.isEmpty(two)){two ="thisString0";}}}if(isJoinTableFlag){//级联表字符串Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("string")))){joinTable.put("string",String.valueOf(joinTable.get("string")).split(","));if(StringUtil.isEmpty(one)){one ="joinString0";}else{if(StringUtil.isEmpty(two)){two ="joinString0";}}}}if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("types")))){//当前表类型thisTable.put("types",String.valueOf(thisTable.get("types")).split(","));if(StringUtil.isEmpty(one)){one ="thisTypes0";}else{if(StringUtil.isEmpty(two)){two ="thisTypes0";}}}if(isJoinTableFlag){//级联表类型Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("types")))){joinTable.put("types",String.valueOf(joinTable.get("types")).split(","));if(StringUtil.isEmpty(one)){one ="joinTypes0";}else{if(StringUtil.isEmpty(two)){two ="joinTypes0";}}}}List<Map<String, Object>> result = commonService.barSum(params);List<String> xAxis = new ArrayList<>();//报表x轴List<List<String>> yAxis = new ArrayList<>();//y轴List<String> legend = new ArrayList<>();//标题if(StringUtil.isEmpty(two)){//不包含第二列List<String> yAxis0 = new ArrayList<>();yAxis.add(yAxis0);legend.add("数值");for(Map<String, Object> map :result){String oneValue = String.valueOf(map.get(one));String value = String.valueOf(map.get("value"));xAxis.add(oneValue);yAxis0.add(value);}}else{//包含第二列Map<String, HashMap<String, String>> dataMap = new LinkedHashMap<>();if(StringUtil.isNotEmpty(two)){for(Map<String, Object> map :result){String oneValue = String.valueOf(map.get(one));String twoValue = String.valueOf(map.get(two));String value = String.valueOf(map.get("value"));if(!legend.contains(twoValue)){legend.add(twoValue);//添加完成后 就是最全的第二列的类型}if(dataMap.containsKey(oneValue)){dataMap.get(oneValue).put(twoValue,value);}else{HashMap<String, String> oneData = new HashMap<>();oneData.put(twoValue,value);dataMap.put(oneValue,oneData);}}}for(int i =0; i<legend.size(); i++){yAxis.add(new ArrayList<String>());}Set<String> keys = dataMap.keySet();for(String key:keys){xAxis.add(key);HashMap<String, String> map = dataMap.get(key);for(int i =0; i<legend.size(); i++){List<String> data = yAxis.get(i);if(StringUtil.isNotEmpty(map.get(legend.get(i)))){data.add(map.get(legend.get(i)));}else{data.add("0");}}}System.out.println();}Map<String, Object> resultMap = new HashMap<>();resultMap.put("xAxis",xAxis);resultMap.put("yAxis",yAxis);resultMap.put("legend",legend);return R.ok().put("data", resultMap);}/*** 柱状图统计*/@RequestMapping("/barCount")public R barCount(@RequestParam Map<String,Object> params) {logger.debug("barCount方法:,,Controller:{},,params:{}",this.getClass().getName(), com.alibaba.fastjson.JSONObject.toJSONString(params));Boolean isJoinTableFlag = false;//是否有级联表相关String one = "";//第一优先String two = "";//第二优先//处理thisTable和joinTable 处理内容是把json字符串转为Map并把带有,的切割为数组//当前表Map<String,Object> thisTable = JSON.parseObject(String.valueOf(params.get("thisTable")),Map.class);params.put("thisTable",thisTable);//级联表String joinTableString = String.valueOf(params.get("joinTable"));if(StringUtil.isNotEmpty(joinTableString)) {Map<String, Object> joinTable = JSON.parseObject(joinTableString, Map.class);params.put("joinTable", joinTable);isJoinTableFlag = true;}if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("date")))){//当前表日期thisTable.put("date",String.valueOf(thisTable.get("date")).split(","));one = "thisDate0";}if(isJoinTableFlag){//级联表日期Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("date")))){joinTable.put("date",String.valueOf(joinTable.get("date")).split(","));if(StringUtil.isEmpty(one)){one ="joinDate0";}else{if(StringUtil.isEmpty(two)){two ="joinDate0";}}}}if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("string")))){//当前表字符串thisTable.put("string",String.valueOf(thisTable.get("string")).split(","));if(StringUtil.isEmpty(one)){one ="thisString0";}else{if(StringUtil.isEmpty(two)){two ="thisString0";}}}if(isJoinTableFlag){//级联表字符串Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("string")))){joinTable.put("string",String.valueOf(joinTable.get("string")).split(","));if(StringUtil.isEmpty(one)){one ="joinString0";}else{if(StringUtil.isEmpty(two)){two ="joinString0";}}}}if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("types")))){//当前表类型thisTable.put("types",String.valueOf(thisTable.get("types")).split(","));if(StringUtil.isEmpty(one)){one ="thisTypes0";}else{if(StringUtil.isEmpty(two)){two ="thisTypes0";}}}if(isJoinTableFlag){//级联表类型Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("types")))){joinTable.put("types",String.valueOf(joinTable.get("types")).split(","));if(StringUtil.isEmpty(one)){one ="joinTypes0";}else{if(StringUtil.isEmpty(two)){two ="joinTypes0";}}}}List<Map<String, Object>> result = commonService.barCount(params);List<String> xAxis = new ArrayList<>();//报表x轴List<List<String>> yAxis = new ArrayList<>();//y轴List<String> legend = new ArrayList<>();//标题if(StringUtil.isEmpty(two)){//不包含第二列List<String> yAxis0 = new ArrayList<>();yAxis.add(yAxis0);legend.add("数值");for(Map<String, Object> map :result){String oneValue = String.valueOf(map.get(one));String value = String.valueOf(map.get("value"));xAxis.add(oneValue);yAxis0.add(value);}}else{//包含第二列Map<String, HashMap<String, String>> dataMap = new LinkedHashMap<>();if(StringUtil.isNotEmpty(two)){for(Map<String, Object> map :result){String oneValue = String.valueOf(map.get(one));String twoValue = String.valueOf(map.get(two));String value = String.valueOf(map.get("value"));if(!legend.contains(twoValue)){legend.add(twoValue);//添加完成后 就是最全的第二列的类型}if(dataMap.containsKey(oneValue)){dataMap.get(oneValue).put(twoValue,value);}else{HashMap<String, String> oneData = new HashMap<>();oneData.put(twoValue,value);dataMap.put(oneValue,oneData);}}}for(int i =0; i<legend.size(); i++){yAxis.add(new ArrayList<String>());}Set<String> keys = dataMap.keySet();for(String key:keys){xAxis.add(key);HashMap<String, String> map = dataMap.get(key);for(int i =0; i<legend.size(); i++){List<String> data = yAxis.get(i);if(StringUtil.isNotEmpty(map.get(legend.get(i)))){data.add(map.get(legend.get(i)));}else{data.add("0");}}}System.out.println();}Map<String, Object> resultMap = new HashMap<>();resultMap.put("xAxis",xAxis);resultMap.put("yAxis",yAxis);resultMap.put("legend",legend);return R.ok().put("data", resultMap);}
}
package com.controller;import java.io.File;
import java.math.BigDecimal;
import java.net.URL;
import java.text.SimpleDateFormat;
import com.alibaba.fastjson.JSONObject;
import java.util.*;
import org.springframework.beans.BeanUtils;
import javax.servlet.http.HttpServletRequest;
import org.springframework.web.context.ContextLoader;
import javax.servlet.ServletContext;
import com.service.TokenService;
import com.utils.*;
import java.lang.reflect.InvocationTargetException;import com.service.DictionaryService;
import org.apache.commons.lang3.StringUtils;
import com.annotation.IgnoreAuth;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.*;
import com.baomidou.mybatisplus.mapper.EntityWrapper;
import com.baomidou.mybatisplus.mapper.Wrapper;
import com.entity.*;
import com.entity.view.*;
import com.service.*;
import com.utils.PageUtils;
import com.utils.R;
import com.alibaba.fastjson.*;/*** 字典* 后端接口* @author* @email
*/
@RestController
@Controller
@RequestMapping("/dictionary")
public class DictionaryController {private static final Logger logger = LoggerFactory.getLogger(DictionaryController.class);@Autowiredprivate DictionaryService dictionaryService;@Autowiredprivate TokenService tokenService;//级联表service@Autowiredprivate YonghuService yonghuService;/*** 后端列表*/@RequestMapping("/page")@IgnoreAuthpublic R page(@RequestParam Map<String, Object> params, HttpServletRequest request){logger.debug("page方法:,,Controller:{},,params:{}",this.getClass().getName(),JSONObject.toJSONString(params));if(params.get("orderBy")==null || params.get("orderBy")==""){params.put("orderBy","id");}PageUtils page = dictionaryService.queryPage(params);//字典表数据转换List<DictionaryView> list =(List<DictionaryView>)page.getList();for(DictionaryView c:list){//修改对应字典表字段dictionaryService.dictionaryConvert(c, request);}return R.ok().put("data", page);}/*** 后端详情*/@RequestMapping("/info/{id}")public R info(@PathVariable("id") Long id, HttpServletRequest request){logger.debug("info方法:,,Controller:{},,id:{}",this.getClass().getName(),id);DictionaryEntity dictionary = dictionaryService.selectById(id);if(dictionary !=null){//entity转viewDictionaryView view = new DictionaryView();BeanUtils.copyProperties( dictionary , view );//把实体数据重构到view中//修改对应字典表字段dictionaryService.dictionaryConvert(view, request);return R.ok().put("data", view);}else {return R.error(511,"查不到数据");}}/*** 后端保存*/@RequestMapping("/save")public R save(@RequestBody DictionaryEntity dictionary, HttpServletRequest request){logger.debug("save方法:,,Controller:{},,dictionary:{}",this.getClass().getName(),dictionary.toString());String role = String.valueOf(request.getSession().getAttribute("role"));if(false)return R.error(511,"永远不会进入");Wrapper<DictionaryEntity> queryWrapper = new EntityWrapper<DictionaryEntity>().eq("dic_code", dictionary.getDicCode()).eq("index_name", dictionary.getIndexName());if(dictionary.getDicCode().contains("_erji_types")){queryWrapper.eq("super_id",dictionary.getSuperId());}logger.info("sql语句:"+queryWrapper.getSqlSegment());DictionaryEntity dictionaryEntity = dictionaryService.selectOne(queryWrapper);if(dictionaryEntity==null){dictionary.setCreateTime(new Date());dictionaryService.insert(dictionary);//字典表新增数据,把数据再重新查出,放入监听器中List<DictionaryEntity> dictionaryEntities = dictionaryService.selectList(new EntityWrapper<DictionaryEntity>());ServletContext servletContext = request.getServletContext();Map<String, Map<Integer,String>> map = new HashMap<>();for(DictionaryEntity d :dictionaryEntities){Map<Integer, String> m = map.get(d.getDicCode());if(m ==null || m.isEmpty()){m = new HashMap<>();}m.put(d.getCodeIndex(),d.getIndexName());map.put(d.getDicCode(),m);}servletContext.setAttribute("dictionaryMap",map);return R.ok();}else {return R.error(511,"表中有相同数据");}}/*** 后端修改*/@RequestMapping("/update")public R update(@RequestBody DictionaryEntity dictionary, HttpServletRequest request){logger.debug("update方法:,,Controller:{},,dictionary:{}",this.getClass().getName(),dictionary.toString());String role = String.valueOf(request.getSession().getAttribute("role"));
// if(false)
// return R.error(511,"永远不会进入");//根据字段查询是否有相同数据Wrapper<DictionaryEntity> queryWrapper = new EntityWrapper<DictionaryEntity>().notIn("id",dictionary.getId()).eq("dic_code", dictionary.getDicCode()).eq("index_name", dictionary.getIndexName());if(dictionary.getDicCode().contains("_erji_types")){queryWrapper.eq("super_id",dictionary.getSuperId());}logger.info("sql语句:"+queryWrapper.getSqlSegment());DictionaryEntity dictionaryEntity = dictionaryService.selectOne(queryWrapper);if(dictionaryEntity==null){dictionaryService.updateById(dictionary);//根据id更新//如果字典表修改数据的话,把数据再重新查出,放入监听器中List<DictionaryEntity> dictionaryEntities = dictionaryService.selectList(new EntityWrapper<DictionaryEntity>());ServletContext servletContext = request.getServletContext();Map<String, Map<Integer,String>> map = new HashMap<>();for(DictionaryEntity d :dictionaryEntities){Map<Integer, String> m = map.get(d.getDicCode());if(m ==null || m.isEmpty()){m = new HashMap<>();}m.put(d.getCodeIndex(),d.getIndexName());map.put(d.getDicCode(),m);}servletContext.setAttribute("dictionaryMap",map);return R.ok();}else {return R.error(511,"表中有相同数据");}}/*** 删除*/@RequestMapping("/delete")public R delete(@RequestBody Integer[] ids){logger.debug("delete:,,Controller:{},,ids:{}",this.getClass().getName(),ids.toString());dictionaryService.deleteBatchIds(Arrays.asList(ids));return R.ok();}/*** 最大值*/@RequestMapping("/maxCodeIndex")public R maxCodeIndex(@RequestBody DictionaryEntity dictionary){logger.debug("maxCodeIndex:,,Controller:{},,dictionary:{}",this.getClass().getName(),dictionary.toString());List<String> descs = new ArrayList<>();descs.add("code_index");Wrapper<DictionaryEntity> queryWrapper = new EntityWrapper<DictionaryEntity>().eq("dic_code", dictionary.getDicCode()).orderDesc(descs);logger.info("sql语句:"+queryWrapper.getSqlSegment());List<DictionaryEntity> dictionaryEntityList = dictionaryService.selectList(queryWrapper);if(dictionaryEntityList != null ){return R.ok().put("maxCodeIndex",dictionaryEntityList.get(0).getCodeIndex()+1);}else{return R.ok().put("maxCodeIndex",1);}}/*** 批量上传*/@RequestMapping("/batchInsert")public R save( String fileName, HttpServletRequest request){logger.debug("batchInsert方法:,,Controller:{},,fileName:{}",this.getClass().getName(),fileName);Integer yonghuId = Integer.valueOf(String.valueOf(request.getSession().getAttribute("userId")));SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");try {List<DictionaryEntity> dictionaryList = new ArrayList<>();//上传的东西Map<String, List<String>> seachFields= new HashMap<>();//要查询的字段Date date = new Date();int lastIndexOf = fileName.lastIndexOf(".");if(lastIndexOf == -1){return R.error(511,"该文件没有后缀");}else{String suffix = fileName.substring(lastIndexOf);if(!".xls".equals(suffix)){return R.error(511,"只支持后缀为xls的excel文件");}else{URL resource = this.getClass().getClassLoader().getResource("static/upload/" + fileName);//获取文件路径File file = new File(resource.getFile());if(!file.exists()){return R.error(511,"找不到上传文件，请联系管理员");}else{List<List<String>> dataList = PoiUtil.poiImport(file.getPath());//读取xls文件dataList.remove(0);//删除第一行，因为第一行是提示for(List<String> data:dataList){//循环DictionaryEntity dictionaryEntity = new DictionaryEntity();
// dictionaryEntity.setDicCode(data.get(0)); //字段 要改的
// dictionaryEntity.setDicName(data.get(0)); //字段名 要改的
// dictionaryEntity.setCodeIndex(Integer.valueOf(data.get(0))); //编码 要改的
// dictionaryEntity.setIndexName(data.get(0)); //编码名字 要改的
// dictionaryEntity.setSuperId(Integer.valueOf(data.get(0))); //父字段id 要改的
// dictionaryEntity.setBeizhu(data.get(0)); //备注 要改的
// dictionaryEntity.setCreateTime(date);//时间dictionaryList.add(dictionaryEntity);//把要查询是否重复的字段放入map中}//查询是否重复dictionaryService.insertBatch(dictionaryList);return R.ok();}}}}catch (Exception e){e.printStackTrace();return R.error(511,"批量插入数据异常，请联系管理员");}}}六、底部获取项目源码带万字文档（9.9￥带走）
有问题，或者需要协助调试运行项目的也可以
