浅谈Slick（4）－ Slick301：我的Slick开发项目设置

2024-04-09 04:58
文章标签 设置 项目 开发 浅谈 slick slick301

本文主要是介绍浅谈Slick（4）－ Slick301：我的Slick开发项目设置，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！

  前面几篇介绍里尝试了一些Slick的功能和使用方式，看来基本可以满足用scala语言进行数据库操作编程的要求，而且有些代码可以通过函数式编程模式来实现。我想，如果把Slick当作数据库操作编程主要方式的话，可能需要先制定一套比较规范的模式来应付日常开发（也要考虑团队开发）、测试和维护。首先从项目结构来说，我发现由Intellij-Idea IDE界面直接产生的SBT项目结构已经比较理想了。在src/main/resources是scala项目获取配置文件的默认目录、我们可以按照需要在src/main/scala下增加代码子目录（package）及在src/main/test下摆放测试代码。配置文件application.conf、logback.xml是放在src/main/resources下的。application.conf是Slick的配置文件，logback.xml是跟踪器logback（log4j）的配置文件。Slick把jdbc api集成到scala编程语言里，能够支持多种数据库。也就是说Slick提供了多种数据库的驱动api。Slick支持在配置文件application.conf里配置数据库功能模式，这样我们就可以在正式部署软件时才通过修订application.conf里的配置来决定具体的数据库种类和参数。当然前提是我们的程序代码不能依赖任何特别的数据库api。我们从表结构设定开始，先看看上篇Slick101里的例子：

package com.datatech.learn.slick101
import slick.driver.H2Driver.api._
object slick101 {/* ----- schema  *///表字段对应模版case class AlbumModel (id: Long,title: String,year: Option[Int],artist: String)//表结构: 定义字段类型, * 代表结果集字段class AlbumTable(tag: Tag) extends Table[AlbumModel](tag, "ALBUMS") {def id = column[Long]("ID",O.AutoInc,O.PrimaryKey)def title = column[String]("TITLE")def year = column[Option[Int]]("YEAR")def artist = column[String]("ARTIST",O.Default("Unknown"))def * = (id,title,year,artist) <> (AlbumModel.tupled, AlbumModel.unapply)}//库表实例val albums = TableQuery[AlbumTable]


我们可以看到这段代码依赖了slick.driver.H2Driver.api，是专门针对H2 Database的了。我们可以用依赖注入（dependency injection, IOC）来解决这个依赖问题。先试试用最传统的依赖注入方式：传入参数来注入这个数据库驱动依赖， 把代码放在src/main/scala/model/TableDefs.scala里： 

package com.bayakala.learn.slick301.model
import slick.driver.JdbcProfile
class TableDefs(val dbDriver: JdbcProfile) {import dbDriver.api._case class Supplier(id: Long, name: String, contact: Option[String], website: Option[String])final class Suppliers(tag: Tag) extends Table[Supplier](tag,"SUPPLERS") {def id = column[Long]("ID",O.AutoInc,O.PrimaryKey)def name = column[String]("NAME")def contact = column[Option[String]]("CONTACT")def website = column[Option[String]]("WEBSITE")def * = (id, name, contact, website) <> (Supplier.tupled,Supplier.unapply)def nidx = index("NM_IDX",name,unique = true)}val suppliers = TableQuery[Suppliers]case class Coffee(id: Long,name: String,supid: Long,price: Double,sales: Int)final class Coffees(tag: Tag) extends Table[Coffee](tag, "COFFEES") {def id = column[Long]("ID",O.AutoInc,O.PrimaryKey)def name = column[String]("NAME")def supid = column[Long]("SUPID")def price = column[Double]("PRICE",O.Default(0.0))def sales = column[Int]("SALES",O.Default(0))def * = (id,name,supid,price,sales) <> (Coffee.tupled, Coffee.unapply)def fk_sup = foreignKey("FK_SUP",supid,suppliers)(_.id,onDelete = ForeignKeyAction.Restrict,onUpdate = ForeignKeyAction.Cascade)def supidx = index("SUP_IDX",supid,unique = false)def nidx = index("NM_IDX",name,unique = true)}val coffees = TableQuery[Coffees]}


注意我们是把JdbcProfile作为参数注入了class TableDefs里。如果TableDefs经常需要作为其它类的父类继承的话，设计成trait能更加灵活的进行类型混合（type mixing）。这样的需求可以用cake pattern方式进行依赖注入。我们在需要src/main/scala/config/AppConfig.scala里定义依赖界面trait DBConfig： 

package com.bayakala.learn.slick301.config
import slick.driver.JdbcProfile
trait DBConfig {val jdbcDriver: JdbcProfileimport jdbcDriver.api._val db: Database
}


后面我们可以通过实现多种DBConfig实例方式来构建开发、测试、部署等数据库环境。为了方便示范，我们设计几个基本的Query Action，放在src/main/scala/access/DAOs.scala里，用cake pattern注入依赖DBConfig： 

package com.bayakala.learn.slick301.access
import com.bayakala.learn.slick301.config
import com.bayakala.learn.slick301.config.DBConfig
import com.bayakala.learn.slick301.model.TableDefs
trait DAOs { dbconf: DBConfig =>import jdbcDriver.api._//注入依赖val tables = new TableDefs(dbconf.jdbcDriver)import tables._//suppliers queriesval createSupplierTable = suppliers.schema.createval allSuppliers = suppliers.resultdef insertSupplier(id:Long,name:String,address:Option[String],website:Option[String])= suppliers += Supplier(id,name,address,website)def insertSupbyName(n: String) = suppliers.map(_.name) += n//coffees queriesval createCoffeeTable = coffees.schema.createval allCoffees = coffees.resultdef insertCoffee(c: (Long,String,Long,Double,Int)) =coffees += Coffee(id=c._1, name=c._2,supid=c._3,price=c._4,sales=c._5)}


dbconf: DBConfig => 的意思是在进行DAOs的实例化时必须混入（mixing）DBConfig类。

以上两个代码文件TableDefs.scala和DAOs.scala在注入依赖后都能够顺利通过编译了。

我们在src/main/scala/main/Main.scala里测试运算DAOs里的query action：

package com.bayakala.learn.slick301.main
import com.bayakala.learn.slick301.config.DBConfig
import com.bayakala.learn.slick301.access.DAOsimport scala.concurrent.{Await, Future}
import scala.util.{Failure, Success}
import scala.concurrent.duration._
import scala.concurrent.ExecutionContext.Implicits.global
import slick.backend.DatabaseConfig
import slick.driver.{H2Driver, JdbcProfile}
object Main {object Actions extends DAOs with DBConfig {override lazy val jdbcDriver: JdbcProfile = H2Driverval dbConf: DatabaseConfig[H2Driver] = DatabaseConfig.forConfig("h2")override val db = dbConf.db}import Actions._def main(args: Array[String]) = {val res = db.run(createSupplierTable).andThen {case Success(_) => println("supplier table created")case Failure(_) => println("unable to create supplier table")}Await.ready(res, 3 seconds)val res2 = db.run(insertSupbyName("Acme Coffee Co."))Await.ready(res2, 3 seconds)Await.ready(db.run(allSuppliers), 10 seconds).foreach(println)val res10 = db.run(createCoffeeTable).andThen {case Success(_) => println("coffee table created")case Failure(_) => println("unable to create coffee table")}Await.ready(res10, 3 seconds)val res11 = db.run(insertCoffee((101,"Columbia",1,158.0,0)))Await.ready(res11, 3 seconds)Await.ready(db.run(allCoffees), 10 seconds).foreach(println)}}


Actions是DAOs的实例。我们看到必须把DBConfig混入（mixin）。但是我们构建的数据库又变成了专门针对H2的api了，这样的话每次变动数据库对象我们就必须重新编译Main.scala，不符合上面我们提到的要求。我们可以把目标数据库放到application.conf里，然后在Main.scala里用typesafe-config实时根据application.conf里的设置确定数据库参数。src/main/resources/application.conf内容如下： 

app = {dbconfig = h2
}h2 {driver = "slick.driver.H2Driver$"db {url = "jdbc:h2:~/slickdemo;mv_store=false"driver = "org.h2.Driver"connectionPool = HikariCPnumThreads = 10maxConnections = 12minConnections = 4keepAliveConnection = true}
}h2mem = {url = "jdbc:h2:mem:slickdemo"driver = org.h2.DriverconnectionPool = disabledkeepAliveConnection = true
}mysql {driver = "slick.driver.MySQLDriver$"db {url = "jdbc:mysql://localhost/slickdemo"driver = com.mysql.jdbc.DriverkeepAliveConnection = trueuser="root"password="123"numThreads=10maxConnections = 12minConnections = 4}
}mysqldb = {dataSourceClass = "com.mysql.jdbc.jdbc2.optional.MysqlDataSource"properties {user = "root"password = "123"databaseName = "slickdemo"serverName = "localhost"}numThreads = 10maxConnections = 12minConnections = 4
}postgres {driver = "slick.driver.PostgresDriver$"db {url = "jdbc:postgresql://127.0.0.1/slickdemo"driver = "org.postgresql.Driver"connectionPool = HikariCPuser = "slick"password = "123"numThreads = 10maxConnections = 12minConnections = 4}
}postgressdb = {dataSourceClass = "org.postgresql.ds.PGSimpleDataSource"properties = {databaseName = "slickdemo"user = "slick"password = "123"}connectionPool = HikariCPnumThreads = 10maxConnections = 12minConnections = 4
}mssql {driver = "com.typesafe.slick.driver.ms.SQLServerDriver$"db {url = "jdbc:sqlserver://host:port"driver = com.microsoft.sqlserver.jdbc.SQLServerDriverconnectionTimeout = 30 secondconnectionPool = HikariCPuser = "slick"password = "123"numThreads = 10maxConnections = 12minConnections = 4keepAliveConnection = true}
}tsql {driver = "slick.driver.H2Driver$"db = ${h2mem}
}


现在application.conf里除了数据库配置外又加了个app配置。我们在Main.scala里实例化DAOs时可以用typesafe-config读取app.dbconfig值后设定jdbcDriver和db： 

  object Actions extends DAOs with DBConfig {import slick.util.ClassLoaderUtilimport scala.util.control.NonFatalimport com.typesafe.config.ConfigFactorydef getDbConfig: String =ConfigFactory.load().getString("app.dbconfig")def getDbDriver(path: String): JdbcProfile = {val config = ConfigFactory.load()val n = config.getString((if (path.isEmpty) "" else path + ".") + "driver")val untypedP = try {if (n.endsWith("$")) ClassLoaderUtil.defaultClassLoader.loadClass(n).getField("MODULE$").get(null)else ClassLoaderUtil.defaultClassLoader.loadClass(n).newInstance()} catch {case NonFatal(ex) =>throw new SlickException(s"""Error getting instance of Slick driver "$n"""", ex)}untypedP.asInstanceOf[JdbcProfile]}override lazy val jdbcDriver: JdbcProfile = getDbDriver(getDbConfig)val dbConf: DatabaseConfig[JdbcProfile] = DatabaseConfig.forConfig(getDbConfig)override val db = dbConf.db}


现在我们只需要改变application.conf里的app.dbconfig就可以转换目标数据库参数了。实际上，除了数据库配置，我们还可以在application.conf里进行其它类型的配置。然后用typesafe-config实时读取。如果不想在application.conf进行数据库之外的配置，可以把其它配置放在任何文件里，然后用ConfigFactory.load(path)来读取。

另外，在软件开发过程中跟踪除错也是很重要的。我们可以用logback来跟踪Slick、HikariCP等库的运行状态。logback配置在src/main/resources/logback.xml：

<?xml version="1.0" encoding="UTF-8"?><configuration><appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender"><encoder><pattern>%d{HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n</pattern></encoder></appender><logger name="application" level="DEBUG"/><logger name="com.zaxxer.hikari" level="DEBUG"/><logger name="slick" level="DEBUG"/><root level="DEBUG"><appender-ref ref="STDOUT"/></root>
</configuration>


DEBUG值可以显示最详细的状态信息。

好了，我把这次示范代码提供在下面：

build.sbt：

name := "learn-slick301"version := "1.0"scalaVersion := "2.11.8"libraryDependencies ++= Seq("com.typesafe.slick" %% "slick" % "3.1.1","com.h2database" % "h2" % "1.4.191","com.typesafe.slick" %% "slick-hikaricp" % "3.1.1","ch.qos.logback" % "logback-classic" % "1.1.7","org.typelevel" %% "cats" % "0.7.2")


src/main/resources/

application.conf:

app = {dbconfig = h2
}h2 {driver = "slick.driver.H2Driver$"db {url = "jdbc:h2:~/slickdemo;mv_store=false"driver = "org.h2.Driver"connectionPool = HikariCPnumThreads = 10maxConnections = 12minConnections = 4keepAliveConnection = true}
}h2mem = {url = "jdbc:h2:mem:slickdemo"driver = org.h2.DriverconnectionPool = disabledkeepAliveConnection = true
}mysql {driver = "slick.driver.MySQLDriver$"db {url = "jdbc:mysql://localhost/slickdemo"driver = com.mysql.jdbc.DriverkeepAliveConnection = trueuser="root"password="123"numThreads=10maxConnections = 12minConnections = 4}
}mysqldb = {dataSourceClass = "com.mysql.jdbc.jdbc2.optional.MysqlDataSource"properties {user = "root"password = "123"databaseName = "slickdemo"serverName = "localhost"}numThreads = 10maxConnections = 12minConnections = 4
}postgres {driver = "slick.driver.PostgresDriver$"db {url = "jdbc:postgresql://127.0.0.1/slickdemo"driver = "org.postgresql.Driver"connectionPool = HikariCPuser = "slick"password = "123"numThreads = 10maxConnections = 12minConnections = 4}
}postgressdb = {dataSourceClass = "org.postgresql.ds.PGSimpleDataSource"properties = {databaseName = "slickdemo"user = "slick"password = "123"}connectionPool = HikariCPnumThreads = 10maxConnections = 12minConnections = 4
}mssql {driver = "com.typesafe.slick.driver.ms.SQLServerDriver$"db {url = "jdbc:sqlserver://host:port"driver = com.microsoft.sqlserver.jdbc.SQLServerDriverconnectionTimeout = 30 secondconnectionPool = HikariCPuser = "slick"password = "123"numThreads = 10maxConnections = 12minConnections = 4keepAliveConnection = true}
}tsql {driver = "slick.driver.H2Driver$"db = ${h2mem}
}


logback.xml: 

<?xml version="1.0" encoding="UTF-8"?><configuration><appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender"><encoder><pattern>%d{HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n</pattern></encoder></appender><logger name="application" level="DEBUG"/><logger name="com.zaxxer.hikari" level="DEBUG"/><logger name="slick" level="DEBUG"/><root level="DEBUG"><appender-ref ref="STDOUT"/></root>
</configuration>


src/main/scala/config/AppConfig.scala:

package com.bayakala.learn.slick301.config
import slick.driver.JdbcProfile
trait DBConfig {val jdbcDriver: JdbcProfileimport jdbcDriver.api._val db: Database
}

src/main/scala/model/TableDefs.scala: 

package com.bayakala.learn.slick301.model
import slick.driver.JdbcProfile
class TableDefs(val dbDriver: JdbcProfile) {import dbDriver.api._case class Supplier(id: Long, name: String, contact: Option[String], website: Option[String])final class Suppliers(tag: Tag) extends Table[Supplier](tag,"SUPPLERS") {def id = column[Long]("ID",O.AutoInc,O.PrimaryKey)def name = column[String]("NAME")def contact = column[Option[String]]("CONTACT")def website = column[Option[String]]("WEBSITE")def * = (id, name, contact, website) <> (Supplier.tupled,Supplier.unapply)def nidx = index("NM_IDX",name,unique = true)}val suppliers = TableQuery[Suppliers]case class Coffee(id: Long,name: String,supid: Long,price: Double,sales: Int)final class Coffees(tag: Tag) extends Table[Coffee](tag, "COFFEES") {def id = column[Long]("ID",O.AutoInc,O.PrimaryKey)def name = column[String]("NAME")def supid = column[Long]("SUPID")def price = column[Double]("PRICE",O.Default(0.0))def sales = column[Int]("SALES",O.Default(0))def * = (id,name,supid,price,sales) <> (Coffee.tupled, Coffee.unapply)def fk_sup = foreignKey("FK_SUP",supid,suppliers)(_.id,onDelete = ForeignKeyAction.Restrict,onUpdate = ForeignKeyAction.Cascade)def supidx = index("SUP_IDX",supid,unique = false)def nidx = index("NM_IDX",name,unique = true)}val coffees = TableQuery[Coffees]}


src/main/scala/access/DAOs.scala: 

package com.bayakala.learn.slick301.access
import com.bayakala.learn.slick301.config
import com.bayakala.learn.slick301.config.DBConfig
import com.bayakala.learn.slick301.model.TableDefs
trait DAOs { dbconf: DBConfig =>import jdbcDriver.api._//注入依赖val tables = new TableDefs(dbconf.jdbcDriver)import tables._//suppliers queriesval createSupplierTable = suppliers.schema.createval allSuppliers = suppliers.resultdef insertSupplier(id:Long,name:String,address:Option[String],website:Option[String])= suppliers += Supplier(id,name,address,website)def insertSupbyName(n: String) = suppliers.map(_.name) += n//coffees queriesval createCoffeeTable = coffees.schema.createval allCoffees = coffees.resultdef insertCoffee(c: (Long,String,Long,Double,Int)) =coffees += Coffee(id=c._1, name=c._2,supid=c._3,price=c._4,sales=c._5)}


src/main/scala/main/Main.scala: 

package com.bayakala.learn.slick301.main
import com.bayakala.learn.slick301.config.DBConfig
import com.bayakala.learn.slick301.access.DAOsimport scala.concurrent.Await
import scala.util.{Failure, Success}
import scala.concurrent.duration._
import scala.concurrent.ExecutionContext.Implicits.global
import slick.backend.DatabaseConfig
import slick.driver.JdbcProfileobject Main {object Actions extends DAOs with DBConfig {import slick.SlickExceptionimport slick.util.ClassLoaderUtilimport scala.util.control.NonFatalimport com.typesafe.config.ConfigFactorydef getDbConfig: String =ConfigFactory.load().getString("app.dbconfig")def getDbDriver(path: String): JdbcProfile = {val config = ConfigFactory.load()val n = config.getString((if (path.isEmpty) "" else path + ".") + "driver")val untypedP = try {if (n.endsWith("$")) ClassLoaderUtil.defaultClassLoader.loadClass(n).getField("MODULE$").get(null)else ClassLoaderUtil.defaultClassLoader.loadClass(n).newInstance()} catch {case NonFatal(ex) =>throw new SlickException(s"""Error getting instance of Slick driver "$n"""", ex)}untypedP.asInstanceOf[JdbcProfile]}override lazy val jdbcDriver: JdbcProfile = getDbDriver(getDbConfig)val dbConf: DatabaseConfig[JdbcProfile] = DatabaseConfig.forConfig(getDbConfig)override val db = dbConf.db}import Actions._def main(args: Array[String]) = {val res = db.run(createSupplierTable).andThen {case Success(_) => println("supplier table created")case Failure(_) => println("unable to create supplier table")}Await.ready(res, 3 seconds)val res2 = db.run(insertSupbyName("Acme Coffee Co."))Await.ready(res2, 3 seconds)Await.ready(db.run(allSuppliers), 10 seconds).foreach(println)val res10 = db.run(createCoffeeTable).andThen {case Success(_) => println("coffee table created")case Failure(_) => println("unable to create coffee table")}Await.ready(res10, 3 seconds)val res11 = db.run(insertCoffee((101,"Columbia",1,158.0,0)))Await.ready(res11, 3 seconds)Await.ready(db.run(allCoffees), 10 seconds).foreach(println)}
















这篇关于浅谈Slick（4）－ Slick301：我的Slick开发项目设置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/887223。

相关文章

基于Qt开发一个简单的OFD阅读器

基于Qt开发一个简单的OFD阅读器

《基于Qt开发一个简单的OFD阅读器》这篇文章主要为大家详细介绍了如何使用Qt框架开发一个功能强大且性能优异的OFD阅读器,文中的示例代码讲解详细,有需要的小伙伴可以参考一下... 目录摘要引言一、OFD文件格式解析二、文档结构解析三、页面渲染四、用户交互五、性能优化六、示例代码七、未来发展方向八、结论摘要
阅读更多...
Linux中chmod权限设置方式

Linux中chmod权限设置方式

《Linux中chmod权限设置方式》本文介绍了Linux系统中文件和目录权限的设置方法,包括chmod、chown和chgrp命令的使用,以及权限模式和符号模式的详细说明,通过这些命令,用户可以灵活... 目录设置基本权限命令：chmod1、权限介绍2、chmod命令常见用法和示例3、文件权限详解4、ch
阅读更多...
javafx 如何将项目打包为 Windows 的可执行文件exe

javafx 如何将项目打包为 Windows 的可执行文件exe

《javafx如何将项目打包为Windows的可执行文件exe》文章介绍了三种将JavaFX项目打包为.exe文件的方法：方法1使用jpackage（适用于JDK14及以上版本）,方法2使用La... 目录方法 1：使用 jpackage（适用于 JDK 14 及更高版本）方法 2：使用 Launch4j（
阅读更多...
Docker集成CI/CD的项目实践

Docker集成CI/CD的项目实践

《Docker集成CI/CD的项目实践》本文主要介绍了Docker集成CI/CD的项目实践,文中通过示例代码介绍的非常详细,对大家的学习或者工作具有一定的参考学习价值,需要的朋友们下面随着小编来一起学... 目录一、引言1.1 什么是 CI/CD？1.2 docker 在 CI/CD 中的作用二、Docke
阅读更多...
SpringBoot项目引入token设置方式

SpringBoot项目引入token设置方式

《SpringBoot项目引入token设置方式》本文详细介绍了JWT（JSONWebToken）的基本概念、结构、应用场景以及工作原理,通过动手实践,展示了如何在SpringBoot项目中实现JWT... 目录一. 先了解熟悉JWT（jsON Web Token）1. JSON Web Token是什么鬼
阅读更多...
手把手教你idea中创建一个javaweb(webapp)项目详细图文教程

手把手教你idea中创建一个javaweb(webapp)项目详细图文教程

《手把手教你idea中创建一个javaweb(webapp)项目详细图文教程》：本文主要介绍如何使用IntelliJIDEA创建一个Maven项目,并配置Tomcat服务器进行运行,过程包括创建... 1.启动idea2.创建项目模板点击项目-新建项目-选择maven，显示如下页面输入项目名称，选择
阅读更多...
Jenkins中自动化部署Spring Boot项目的全过程

Jenkins中自动化部署Spring Boot项目的全过程

《Jenkins中自动化部署SpringBoot项目的全过程》：本文主要介绍如何使用Jenkins从Git仓库拉取SpringBoot项目并进行自动化部署,通过配置Jenkins任务,实现项目的... 目录准备工作启动 Jenkins配置 Jenkins创建及配置任务源码管理构建触发器构建构建后操作构建任务
阅读更多...
在 VSCode 中配置 C++ 开发环境的详细教程

在 VSCode 中配置 C++ 开发环境的详细教程

《在VSCode中配置C++开发环境的详细教程》本文详细介绍了如何在VisualStudioCode（VSCode）中配置C++开发环境,包括安装必要的工具、配置编译器、设置调试环境等步骤,通... 目录如何在 VSCode 中配置 C++ 开发环境：详细教程1. 什么是 VSCode？2. 安装 VSCo
阅读更多...
使用Spring Cache时设置缓存键的注意事项详解

使用Spring Cache时设置缓存键的注意事项详解

《使用SpringCache时设置缓存键的注意事项详解》在现代的Web应用中,缓存是提高系统性能和响应速度的重要手段之一,Spring框架提供了强大的缓存支持,通过​​@Cacheable​​、​​... 目录引言1. 缓存键的基本概念2. 默认缓存键生成器3. 自定义缓存键3.1 使用​​@Cacheab
阅读更多...
java如何调用kettle设置变量和参数

java如何调用kettle设置变量和参数

《java如何调用kettle设置变量和参数》文章简要介绍了如何在Java中调用Kettle,并重点讨论了变量和参数的区别,以及在Java代码中如何正确设置和使用这些变量,避免覆盖Kettle中已设置... 目录Java调用kettle设置变量和参数java代码中变量会覆盖kettle里面设置的变量总结ja
阅读更多...

Copyright China编程 23002807@qq.com

沪ICP备2023033072号-2