基于springboot药房管理系统源码和论文

2024-01-28 02:12

本文主要是介绍基于springboot药房管理系统源码和论文,希望对大家解决编程问题提供一定的参考价值,需要的开发者们随着小编来一起学习吧!

伴随着全球信息化发展,行行业业都与计算机技术相衔接,计算机技术普遍运用于药房管理行业。实施计算机系统来管理可以降低逍遥大药房管理成本,使整个逍遥大药房行业的发展有显著提升。

本论文主要面向逍遥大药房管理中出现的一些常见问题,将其与计算机管理系统结合起来。通过这个系统,管理员可以更加方便的管理逍遥大药房信息;可以清楚的了解逍遥大药房信息管理情况;以管理员登录系统,通过首页,个人中心,用户管理,保健品分类管理,药品分类管理,药品信息管理,疫情常识管理,保健品管理,系统管理,订单管理等功能模板,可以有效的分配各用户的权限。逍遥大药房管理系统在逍遥大药房管理中的应用,可以很大程度上提高管理水平,获得更好的经济效益。

该系统基于B/S即所谓浏览器/服务器模式,应用java技术,选择MySQL作为后台数据库。系统主要包括首页,个人中心,用户管理,保健品分类管理,药品分类管理,药品信息管理,疫情常识管理,保健品管理,系统管理,订单管理等功能模块。但是,这套系统实现的功能只是整个逍遥大药房管理系统中的一部分,系统中还存在一些不及之处,需要继续的创新,使其完美。

关键词:逍遥大药房管理;java技术;B/S;数据库;mysql;

基于springboot逍遥大药房管理系统源码和论文335

演示视频:

基于springboot逍遥大药房管理系统源码和论文

Abstract

With the development of global information technology, the industry is connected with computer technology, and computer technology is widely used in the big pharmacy management industry.The implementation of computer system to management can reduce the management cost of Xiaoyao pharmacy, and make the development of the whole Xiaoyao pharmacy industry significantly improved.

This paper mainly faces some common problems in the management system, which combines it with the computer management system.Through this system, the administrator can manage the information more conveniently; can clearly understand the information management; through the homepage, personal center, user management, health care classification management, drug classification management, drug information management, epidemic knowledge management, health care management, system management, order management and so on.The application of the management system in the management of Xiaoyao big pharmacy can greatly improve the management level and obtain better economic benefits.

The system is based on B / S, the so-called browser / server mode, applies java technology, and selects MySQL as the background database.The system mainly includes home page, personal center, user management, health care product classification management, drug classification management, drug information management, epidemic knowledge management, health care products management, system management, order management and other functional modules.However, the function of this system is only a part of the whole free free pharmacy management system, there are still some shortcomings in the system, need to continue to innovate, to make it perfect.

Key words: Xiaoyao big pharmacy management; java technology; B / S; database; mysql;

package com.controller;import java.io.*;
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.SQLException;
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.beans.factory.annotation.Value;
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;/*** Java代码实现MySQL数据库导出** @param mysqlUrl     MySQL安装路径* @param hostIP       MySQL数据库所在服务器地址IP* @param userName     进入数据库所需要的用户名* @param hostPort     数据库端口* @param password     进入数据库所需要的密码* @param savePath     数据库文件保存路径* @param fileName     数据库导出文件文件名* @param databaseName 要导出的数据库名* @return 返回true表示导出成功,否则返回false。*/@IgnoreAuth@RequestMapping("/beifen")public R beifen(String mysqlUrl, String hostIP, String userName, String hostPort, String password, String savePath, String fileName, String databaseName) {File saveFile = new File(savePath);if (!saveFile.exists()) {// 如果目录不存在 saveFile.mkdirs();// 创建文件夹 }if (!savePath.endsWith(File.separator)) {savePath = savePath + File.separator;}PrintWriter printWriter = null;BufferedReader bufferedReader = null;try {Runtime runtime = Runtime.getRuntime();String cmd = mysqlUrl + "mysqldump -h" + hostIP + " -u" + userName + " -P" + hostPort + " -p" + password + " " + databaseName;runtime.exec(cmd);Process process = runtime.exec(cmd);InputStreamReader inputStreamReader = new InputStreamReader(process.getInputStream(), "utf8");bufferedReader = new BufferedReader(inputStreamReader);printWriter = new PrintWriter(new OutputStreamWriter(new FileOutputStream(savePath + fileName), "utf8"));String line;while ((line = bufferedReader.readLine()) != null) {printWriter.println(line);}printWriter.flush();} catch (Exception e) {e.printStackTrace();return R.error("备份数据出错");} finally {try {if (bufferedReader != null) {bufferedReader.close();}if (printWriter != null) {printWriter.close();}} catch (Exception e) {e.printStackTrace();}}return R.ok();}/*** Java实现MySQL数据库导入** @param mysqlUrl     MySQL安装路径* @param hostIP       MySQL数据库所在服务器地址IP* @param userName     进入数据库所需要的用户名* @param hostPort     数据库端口* @param password     进入数据库所需要的密码* @param savePath     数据库文件保存路径* @param fileName     数据库导出文件文件名* @param databaseName 要导出的数据库名*/@IgnoreAuth@RequestMapping("/huanyuan")public R huanyuan(String mysqlUrl, String hostIP, String userName, String hostPort, String password, String savePath, String fileName, String databaseName) {try {Runtime rt = Runtime.getRuntime();Process child1 = rt.exec(mysqlUrl+"mysql.exe  -h" + hostIP + " -u" + userName + " -P" + hostPort + " -p" + password + " " + databaseName);OutputStream out = child1.getOutputStream();//控制台的输入信息作为输出流String inStr;StringBuffer sb = new StringBuffer("");String outStr;BufferedReader br = new BufferedReader(new InputStreamReader(new FileInputStream(savePath+"/"+fileName), "utf-8"));while ((inStr = br.readLine()) != null) {sb.append(inStr + "\r\n");}outStr = sb.toString();OutputStreamWriter writer = new OutputStreamWriter(out, "utf8");writer.write(outStr);
// 注:这里如果用缓冲方式写入文件的话,会导致中文乱码,用flush()方法则可以避免writer.flush();out.close();br.close();writer.close();} catch (Exception e) {e.printStackTrace();return R.error("数据导入出错");}return R.ok();}/*** 饼状图求和* @return*/@RequestMapping("/pieSum")public R pieSum(@RequestParam Map<String,Object> params) {logger.debug("饼状图求和:,,Controller:{},,params:{}",this.getClass().getName(),params);List<Map<String, Object>> result = commonService.pieSum(params);return R.ok().put("data", result);}/*** 饼状图统计* @return*/@RequestMapping("/pieCount")public R pieCount(@RequestParam Map<String,Object> params) {logger.debug("饼状图统计:,,Controller:{},,params:{}",this.getClass().getName(),params);List<Map<String, Object>> result = commonService.pieCount(params);return R.ok().put("data", result);}/*** 柱状图求和单列* @return*/@RequestMapping("/barSumOne")public R barSumOne(@RequestParam Map<String,Object> params) {logger.debug("柱状图求和单列:,,Controller:{},,params:{}",this.getClass().getName(),params);List<Map<String, Object>> result = commonService.barSumOne(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List<String> yAxis0 = new ArrayList<>();yAxis.add(yAxis0);legend.add("");for(Map<String, Object> map :result){String oneValue = String.valueOf(map.get("name"));String value = String.valueOf(map.get("value"));xAxis.add(oneValue);yAxis0.add(value);}Map<String, Object> resultMap = new HashMap<>();resultMap.put("xAxis",xAxis);resultMap.put("yAxis",yAxis);resultMap.put("legend",legend);return R.ok().put("data", resultMap);}/*** 柱状图统计单列* @return*/@RequestMapping("/barCountOne")public R barCountOne(@RequestParam Map<String,Object> params) {logger.debug("柱状图统计单列:,,Controller:{},,params:{}",this.getClass().getName(),params);List<Map<String, Object>> result = commonService.barCountOne(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List<String> yAxis0 = new ArrayList<>();yAxis.add(yAxis0);legend.add("");for(Map<String, Object> map :result){String oneValue = String.valueOf(map.get("name"));String value = String.valueOf(map.get("value"));xAxis.add(oneValue);yAxis0.add(value);}Map<String, Object> resultMap = new HashMap<>();resultMap.put("xAxis",xAxis);resultMap.put("yAxis",yAxis);resultMap.put("legend",legend);return R.ok().put("data", resultMap);}/*** 柱状图统计双列* @return*/@RequestMapping("/barSumTwo")public R barSumTwo(@RequestParam Map<String,Object> params) {logger.debug("柱状图统计双列:,,Controller:{},,params:{}",this.getClass().getName(),params);List<Map<String, Object>> result = commonService.barSumTwo(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Map<String, HashMap<String, String>> dataMap = new LinkedHashMap<>();for(Map<String, Object> map :result){String name1Value = String.valueOf(map.get("name1"));String name2Value = String.valueOf(map.get("name2"));String value = String.valueOf(map.get("value"));if(!legend.contains(name2Value)){legend.add(name2Value);//添加完成后 就是最全的第二列的类型}if(dataMap.containsKey(name1Value)){dataMap.get(name1Value).put(name2Value,value);}else{HashMap<String, String> name1Data = new HashMap<>();name1Data.put(name2Value,value);dataMap.put(name1Value,name1Data);}}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);}/*** 柱状图统计双列* @return*/@RequestMapping("/barCountTwo")public R barCountTwo(@RequestParam Map<String,Object> params) {logger.debug("柱状图统计双列:,,Controller:{},,params:{}",this.getClass().getName(),params);List<Map<String, Object>> result = commonService.barCountTwo(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Map<String, HashMap<String, String>> dataMap = new LinkedHashMap<>();for(Map<String, Object> map :result){String name1Value = String.valueOf(map.get("name1"));String name2Value = String.valueOf(map.get("name2"));String value = String.valueOf(map.get("value"));if(!legend.contains(name2Value)){legend.add(name2Value);//添加完成后 就是最全的第二列的类型}if(dataMap.containsKey(name1Value)){dataMap.get(name1Value).put(name2Value,value);}else{HashMap<String, String> name1Data = new HashMap<>();name1Data.put(name2Value,value);dataMap.put(name1Value,name1Data);}}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);}/**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);}/*** 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);}/*** 柱状图求和 老的*/@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("");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 老的*/@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("");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);}
}
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd"><modelVersion>4.0.0</modelVersion><parent><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-parent</artifactId><version>2.2.2.RELEASE</version><relativePath/> <!-- lookup parent from repository --></parent><groupId>com.jlwl</groupId><!-- 导入项目的名称 --><artifactId>springboot310o0</artifactId><version>0.0.1-SNAPSHOT</version><name>springboot-schema</name><description>springboot学习框架</description><properties><java.version>1.8</java.version><fastjson.version>1.2.8</fastjson.version><maven-jar-plugin.version>3.1.1</maven-jar-plugin.version></properties><dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-web</artifactId></dependency><dependency><groupId>org.mybatis.spring.boot</groupId><artifactId>mybatis-spring-boot-starter</artifactId><version>2.1.1</version></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-jdbc</artifactId></dependency><dependency><groupId>mysql</groupId><artifactId>mysql-connector-java</artifactId></dependency><dependency><groupId>org.apache.shiro</groupId><artifactId>shiro-spring</artifactId><version>1.3.2</version></dependency><dependency><groupId>com.baomidou</groupId><artifactId>mybatis-plus</artifactId><version>2.3</version></dependency><dependency><groupId>com.baomidou</groupId><artifactId>mybatisplus-spring-boot-starter</artifactId><version>1.0.5</version></dependency><dependency><groupId>com.google.protobuf</groupId><artifactId>protobuf-java</artifactId><version>3.10.0</version></dependency><dependency><groupId>org.apache.commons</groupId><artifactId>commons-lang3</artifactId><version>3.0</version></dependency><dependency><groupId>javax.validation</groupId><artifactId>validation-api</artifactId><version>2.0.1.Final</version></dependency><dependency><groupId>commons-io</groupId><artifactId>commons-io</artifactId><version>2.5</version></dependency><dependency><groupId>cn.hutool</groupId><artifactId>hutool-all</artifactId><version>4.0.12</version></dependency><!-- FastJson --><dependency><groupId>com.alibaba</groupId><artifactId>fastjson</artifactId><version>${fastjson.version}</version></dependency><dependency><groupId>com.microsoft.sqlserver</groupId><artifactId>sqljdbc4</artifactId><scope>4.0</scope><version>4.0</version></dependency><dependency><groupId>com.microsoft.sqlserver</groupId><artifactId>mssql-jdbc</artifactId><version>6.2.0.jre8</version><scope>runtime</scope></dependency><!-- 百度人工智能 --><dependency><groupId>com.baidu.aip</groupId><artifactId>java-sdk</artifactId><version>4.4.1</version></dependency><dependency><groupId>org.apache.poi</groupId><artifactId>poi</artifactId><version>3.11</version></dependency><dependency><groupId>org.apache.poi</groupId><artifactId>poi-ooxml</artifactId><version>3.9</version></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-test</artifactId><scope>test</scope><exclusions><exclusion><groupId>org.junit.vintage</groupId><artifactId>junit-vintage-engine</artifactId></exclusion></exclusions></dependency></dependencies><build><plugins><plugin><groupId>org.springframework.boot</groupId><artifactId>spring-boot-maven-plugin</artifactId></plugin></plugins></build></project>

这篇关于基于springboot药房管理系统源码和论文的文章就介绍到这儿,希望我们推荐的文章对编程师们有所帮助!



http://www.chinasem.cn/article/652172

相关文章

SpringBoot应用中出现的Full GC问题的场景与解决

《SpringBoot应用中出现的FullGC问题的场景与解决》这篇文章主要为大家详细介绍了SpringBoot应用中出现的FullGC问题的场景与解决方法,文中的示例代码讲解详细,感兴趣的小伙伴可... 目录Full GC的原理与触发条件原理触发条件对Spring Boot应用的影响示例代码优化建议结论F

springboot项目中常用的工具类和api详解

《springboot项目中常用的工具类和api详解》在SpringBoot项目中,开发者通常会依赖一些工具类和API来简化开发、提高效率,以下是一些常用的工具类及其典型应用场景,涵盖Spring原生... 目录1. Spring Framework 自带工具类(1) StringUtils(2) Coll

SpringBoot条件注解核心作用与使用场景详解

《SpringBoot条件注解核心作用与使用场景详解》SpringBoot的条件注解为开发者提供了强大的动态配置能力,理解其原理和适用场景是构建灵活、可扩展应用的关键,本文将系统梳理所有常用的条件注... 目录引言一、条件注解的核心机制二、SpringBoot内置条件注解详解1、@ConditionalOn

通过Spring层面进行事务回滚的实现

《通过Spring层面进行事务回滚的实现》本文主要介绍了通过Spring层面进行事务回滚的实现,包括声明式事务和编程式事务,具有一定的参考价值,感兴趣的可以了解一下... 目录声明式事务回滚:1. 基础注解配置2. 指定回滚异常类型3. ​不回滚特殊场景编程式事务回滚:1. ​使用 TransactionT

Spring LDAP目录服务的使用示例

《SpringLDAP目录服务的使用示例》本文主要介绍了SpringLDAP目录服务的使用示例... 目录引言一、Spring LDAP基础二、LdapTemplate详解三、LDAP对象映射四、基本LDAP操作4.1 查询操作4.2 添加操作4.3 修改操作4.4 删除操作五、认证与授权六、高级特性与最佳

Spring Shell 命令行实现交互式Shell应用开发

《SpringShell命令行实现交互式Shell应用开发》本文主要介绍了SpringShell命令行实现交互式Shell应用开发,能够帮助开发者快速构建功能丰富的命令行应用程序,具有一定的参考价... 目录引言一、Spring Shell概述二、创建命令类三、命令参数处理四、命令分组与帮助系统五、自定义S

SpringSecurity JWT基于令牌的无状态认证实现

《SpringSecurityJWT基于令牌的无状态认证实现》SpringSecurity中实现基于JWT的无状态认证是一种常见的做法,本文就来介绍一下SpringSecurityJWT基于令牌的无... 目录引言一、JWT基本原理与结构二、Spring Security JWT依赖配置三、JWT令牌生成与

Java中Date、LocalDate、LocalDateTime、LocalTime、时间戳之间的相互转换代码

《Java中Date、LocalDate、LocalDateTime、LocalTime、时间戳之间的相互转换代码》:本文主要介绍Java中日期时间转换的多种方法,包括将Date转换为LocalD... 目录一、Date转LocalDateTime二、Date转LocalDate三、LocalDateTim

如何配置Spring Boot中的Jackson序列化

《如何配置SpringBoot中的Jackson序列化》在开发基于SpringBoot的应用程序时,Jackson是默认的JSON序列化和反序列化工具,本文将详细介绍如何在SpringBoot中配置... 目录配置Spring Boot中的Jackson序列化1. 为什么需要自定义Jackson配置?2.

Java中使用Hutool进行AES加密解密的方法举例

《Java中使用Hutool进行AES加密解密的方法举例》AES是一种对称加密,所谓对称加密就是加密与解密使用的秘钥是一个,下面:本文主要介绍Java中使用Hutool进行AES加密解密的相关资料... 目录前言一、Hutool简介与引入1.1 Hutool简介1.2 引入Hutool二、AES加密解密基础