• restapi(6)- do it the functional way, 重温函数式编程


      再次看了看上篇博客的源代码,发现连自己都看不懂了。想是为了赶时间交货不知不觉又回到OOP行令模式了,看看下面这段代码:

           (post &  parameters('pid,'desc.?,'width.as[Int].?,'heigth.as[Int].?)) { (pid, optDesc, optWid, optHgh) =>
              val futCount: Future[Int] = repository.count(pid).value.value.runToFuture.map {
                eoi =>
                  eoi match {
                    case Right(oi) => oi match {
                      case Some(i) => i
                      case None => -1
                    }
                    case Left(err) => -1
                  }
              }
              val count: Int = Await.result(futCount, 2 seconds)
              var doc = Document(
                "pid" -> pid,
                "seqno" -> count
              )
              if (optDesc != None)
                doc = doc + ("desc" -> optDesc.get)
              if (optWid != None)
                doc = doc + ("desc" -> optWid.get)
              if (optHgh != None)
                doc = doc + ("desc" -> optHgh.get)
    
              withoutSizeLimit {
                decodeRequest {
                  extractDataBytes { bytes =>
                    val fut = bytes.runFold(ByteString()) { case (hd, bs) =>
                      hd ++ bs
                    }
                    onComplete(fut) {
                      case Success(b) =>
                        doc = doc + ("pic" -> b.toArray)
                        val futmsg: Future[String] = repository.insert(doc).value.value.runToFuture.map {
                          eoc =>
                            eoc match {
                              case Right(oc) => oc match {
                                case Some(c) => count.toString //   c.toString()
                                case None => "insert may not complete!"
                              }
                              case Left(err) => err.getMessage
                            }
                        }
                        complete(futmsg)
                      case Failure(err) => complete(err)
                    }
                  }
                }
              }

    有人能从这段代码里理解它的功能吗?本来作者的目的很简单:前端通过httprequest提交了一张图片及产品编号pid、系统读取MongoDB查找相同pid的数量count,然后将图片和描述包括count写入数据库并在reponse里返回count。把一个简单功能的实现搞的这么复杂都是我的错,可能受OOP荼毒太深。这次希望静下心来用函数式编程模式把这段代码从新实现一次,示范一下函数式编程的代码精炼和高雅特点。首先介绍一下DBResult[A]这个类型:这是一个Monad,为了应付Future[Either[Option[R]]]这样的类型而设计的,是一个表现数据库操作比较全面的类型,但同时它又是造成上面这段代码混乱的元凶。现在我们可以用隐式转换implicit conversion方式进行代码简化重用:

      import monix.execution.Scheduler.Implicits.global
      implicit class DBResultToFuture(dbr: DBOResult[_]){
          def toFuture[R] = {
            dbr.value.value.runToFuture.map {
              eor =>
                eor match {
                  case Right(or) => or match {
                    case Some(r) => r.asInstanceOf[R]
                    case None => throw new RuntimeException("Operation produced None result!")
                  }
                  case Left(err) => throw new RuntimeException(err)
                }
            }
          }
      }

     用这个隐式转换类型为任何DBOResult[R]增加一个函数toFuture[R]。现在整个futCount算式可以简化成下面这样:

              val futCount: Future[Int] = repository.count(pid).value.value.runToFuture.map {
                eoi =>
                  eoi match {
                    case Right(oi) => oi match {
                      case Some(i) => i
                      case None => -1
                    }
                    case Left(err) => -1
                  }
              }
    
    
    futCount:Future[Int]=repository.count(pid).toFuture

    真正的简单易明。

    不知怎么搞的,我尽然在这段代码中间使用了Await.result。从OOP角度分析这很容易理解,下一段程序需要上一段程序的结果来继续运行。在上面的例子里我们需要先获取count然后把count塞进Document再把Document存入数据库。逻辑思路上没问题,不过这样的做法是典型的行令式编程模式。在函数式编程模式里,阶段性的运算结果是在包嵌在Monad中的。Monad本身只是一个运算计划,只有真正运算时才能获取结果。Monad本身是函数组件,可以实现多个Monad的函数组合。在这里可以形象的把Monad函数组合描述为数据库操作步骤:先count、再insert,这两个步骤产生的结果还是留在Monad里的,直到所谓的世界末日,即实际运算完成后才取出,所以Monad是一种典型的程序运算流程管道。假如我们再把insert这段程序写成addPicture(...): DBOResult[_], 如下:

       def addPicuture(pid: String,seqno: Int, optDesc: Option[String]
                             ,optWid:Option[Int],optHgh:Option[Int],
                             bytes: Array[Byte]):DBOResult[Completed] ={
          var doc = Document(
            "pid" -> pid,
            "seqno" -> seqno,
            "pic" -> bytes
          )
          if (optDesc != None)
            doc = doc + ("desc" -> optDesc.get)
          if (optWid != None)
            doc = doc + ("desc" -> optWid.get)
          if (optHgh != None)
            doc = doc + ("desc" -> optHgh.get)
          repository.insert(doc)
        }

    好了,现在整篇代码变成了下面这样:

           (post &  parameters('pid,'desc.?,'width.as[Int].?,'heigth.as[Int].?)) { (pid, optDesc, optWid, optHgh) =>
              withoutSizeLimit {
                decodeRequest {
                  extractDataBytes { bytes =>
                    val futBytes = bytes.runFold(ByteString()) { case (hd, bs) =>
                      hd ++ bs
                    }
                    val futSeqno = for {
                      cnt <- repository.count(pid).toFuture
                      barr <- futBytes
                      _ <- addPicuture(pid, cnt, optDesc, optWid, optHgh, barr.toArray).toFuture
                    } yield cnt
                    complete(futSeqno.map(_.toString))
                  }
                }
      

    现在是不是变得简单易明了?如果你觉着这样看起来更加容易理解,那么我建议你现在开始多点接触了解函数式编程。

    接着用同样方式把整个项目重新实现一次。修改后的源代码如下:

    MongoRepo.scala

    package com.datatech.rest.mongo
    import org.mongodb.scala._
    import org.bson.conversions.Bson
    import org.mongodb.scala.result._
    import com.datatech.sdp.mongo.engine._
    import MGOClasses._
    import MGOEngine._
    import MGOCommands._
    import com.datatech.sdp.result.DBOResult.DBOResult
    
    object MongoRepo {
    
      class MongoRepo[R](db:String, coll: String, converter: Option[Document => R])(implicit client: MongoClient) {
        def getAll[R](next:Option[String],sort:Option[String],fields:Option[String],top:Option[Int]): DBOResult[Seq[R]] = {
          var res = Seq[ResultOptions]()
          next.foreach {b => res = res :+ ResultOptions(FOD_TYPE.FOD_FILTER,Some(Document(b)))}
          sort.foreach {b => res = res :+ ResultOptions(FOD_TYPE.FOD_SORT,Some(Document(b)))}
          fields.foreach {b => res = res :+ ResultOptions(FOD_TYPE.FOD_PROJECTION,Some(Document(b)))}
          top.foreach {b => res = res :+ ResultOptions(FOD_TYPE.FOD_LIMIT,None,b)}
    
          val ctxFind = MGOContext(dbName = db,collName=coll)
            .setActionType(MGO_ACTION_TYPE.MGO_QUERY)
            .setCommand(Find(andThen = res))
          mgoQuery[Seq[R]](ctxFind,converter)
        }
    
        def query[R](filtr: Bson, next:Option[String]=None,sort:Option[String]=None,fields:Option[String]=None,top:Option[Int]=None): DBOResult[Seq[R]] = {
          var res = Seq[ResultOptions]()
          next.foreach {b => res = res :+ ResultOptions(FOD_TYPE.FOD_FILTER,Some(Document(b)))}
          sort.foreach {b => res = res :+ ResultOptions(FOD_TYPE.FOD_SORT,Some(Document(b)))}
          fields.foreach {b => res = res :+ ResultOptions(FOD_TYPE.FOD_PROJECTION,Some(Document(b)))}
          top.foreach {b => res = res :+ ResultOptions(FOD_TYPE.FOD_LIMIT,None,b)}
          val ctxFind = MGOContext(dbName = db,collName=coll)
            .setActionType(MGO_ACTION_TYPE.MGO_QUERY)
            .setCommand(Find(filter = Some(filtr),andThen = res))
          mgoQuery[Seq[R]](ctxFind,converter)
        }
    
        import org.mongodb.scala.model.Filters._
        def count(pid: String):DBOResult[Int] = {
          val ctxCount = MGOContext(dbName = db,collName=coll)
            .setActionType(MGO_ACTION_TYPE.MGO_QUERY)
            .setCommand(Count(filter=Some(equal("pid",pid))))
          mgoQuery[Int](ctxCount,None)
        }
    
        def getOneDocument(filtr: Bson): DBOResult[Document] = {
          val ctxFind = MGOContext(dbName = db,collName=coll)
            .setActionType(MGO_ACTION_TYPE.MGO_QUERY)
            .setCommand(Find(filter = Some(filtr),firstOnly = true))
          mgoQuery[Document](ctxFind,None)
        }
        def getOnePicture[R](pid: String, seqno: Int): DBOResult[R] = {
          val ctxFind = MGOContext(dbName = db, collName = coll)
            .setActionType(MGO_ACTION_TYPE.MGO_QUERY)
            .setCommand(Find(filter = Some(and(equal("pid",pid),equal("seqno",seqno))), firstOnly = true))
          mgoQuery[R](ctxFind, converter)
        }
        def insert(doc: Document): DBOResult[Completed] = {
          val ctxInsert = MGOContext(dbName = db,collName=coll)
            .setActionType(MGO_ACTION_TYPE.MGO_UPDATE)
            .setCommand(Insert(Seq(doc)))
          mgoUpdate[Completed](ctxInsert)
        }
    
        def delete(filter: Bson): DBOResult[DeleteResult] = {
          val ctxDelete = MGOContext(dbName = db,collName=coll)
            .setActionType(MGO_ACTION_TYPE.MGO_UPDATE)
            .setCommand(Delete(filter))
          mgoUpdate[DeleteResult](ctxDelete)
        }
    
        def update(filter: Bson, update: Bson, many: Boolean): DBOResult[UpdateResult] = {
          val ctxUpdate = MGOContext(dbName = db,collName=coll)
            .setActionType(MGO_ACTION_TYPE.MGO_UPDATE)
            .setCommand(Update(filter,update,None,!many))
          mgoUpdate[UpdateResult](ctxUpdate)
        }
    
        def replace(filter: Bson, row: Document): DBOResult[UpdateResult] = {
          val ctxUpdate = MGOContext(dbName = db,collName=coll)
            .setActionType(MGO_ACTION_TYPE.MGO_UPDATE)
            .setCommand(Replace(filter,row))
          mgoUpdate[UpdateResult](ctxUpdate)
        }
    
      }
      import monix.execution.Scheduler.Implicits.global
      implicit class DBResultToFuture(dbr: DBOResult[_]){
          def toFuture[R] = {
            dbr.value.value.runToFuture.map {
              eor =>
                eor match {
                  case Right(or) => or match {
                    case Some(r) => r.asInstanceOf[R]
                    case None => throw new RuntimeException("Operation produced None result!")
                  }
                  case Left(err) => throw new RuntimeException(err)
                }
            }
          }
      }
    
    }

    MongoRoute.scala

    package com.datatech.rest.mongo
    import akka.http.scaladsl.server.Directives
    import com.datatech.sdp.file._

    import scala.util._
    import org.mongodb.scala._
    import com.datatech.sdp.file.Streaming._
    import org.mongodb.scala.result._
    import MongoRepo._
    import akka.stream.ActorMaterializer
    import com.datatech.sdp.result.DBOResult._
    import org.mongodb.scala.model.Filters._
    import com.datatech.sdp.mongo.engine.MGOClasses._
    import monix.execution.CancelableFuture
    import akka.util._
    import akka.http.scaladsl.model._
    import akka.http.scaladsl.coding.Gzip
    import akka.stream.scaladsl._
    import MongoModels.WebPic

    import scala.concurrent._
    import scala.concurrent.duration._
    object MongoRoute {
    class MongoRoute[M <: ModelBase[Document]](val pathName: String)(repository: MongoRepo[M])(
    implicit c: MongoClient, m: Manifest[M], mat: ActorMaterializer) extends Directives with JsonConverter {
    import monix.execution.Scheduler.Implicits.global
    var dbor: DBOResult[Seq[M]] = _
    var dbou: DBOResult[UpdateResult] = _
    val route = pathPrefix(pathName) {
    pathPrefix("pictures") {
    (post & parameters('pid,'desc.?,'width.as[Int].?,'heigth.as[Int].?)) { (pid, optDesc, optWid, optHgh) =>
    withoutSizeLimit {
    decodeRequest {
    extractDataBytes { bytes =>
    val futBytes = bytes.runFold(ByteString()) { case (hd, bs) =>
    hd ++ bs
    }
    val futSeqno = for {
    cnt <- repository.count(pid).toFuture[Int]
    barr <- futBytes
    _ <- addPicuture(pid, cnt, optDesc, optWid, optHgh, barr.toArray).toFuture[Completed]
    } yield cnt
    complete(futSeqno.map(_.toString))
    }
    }
    } ~
    (get & parameters('pid, 'seqno.as[Int].?, 'width.as[Int].?, 'height.as[Int].?)) {
    (pid, optSeq, optWid, optHght) =>
    if (optSeq == None) {
    val futRows = repository.query(equal("pid", pid)).toFuture
    complete(futureToJson(futRows))
    } else {
    val futPicRow = repository.getOnePicture(pid, optSeq.get).toFuture[WebPic]
    onComplete(futPicRow) {
    case Success(row) =>
    val width = if (optWid == None) row.width.getOrElse(128) else optWid.getOrElse(128)
    val height = if (optHght == None) row.heigth.getOrElse(128) else optHght.getOrElse(128)
    if (row.pic != None) {
    withoutSizeLimit {
    encodeResponseWith(Gzip) {
    complete(
    HttpEntity(
    ContentTypes.`application/octet-stream`,
    ByteArrayToSource(Imaging.setImageSize(row.pic.get.getData, width, height)
    ))
    )
    }
    }
    } else complete(StatusCodes.NotFound)
    case Failure(err) => complete(err)
    }
    }
    }
    }
    } ~
    pathPrefix("blob") {
    (get & parameter('filter)) { filter =>
    val filtr = Document(filter)
    val futOptPic: CancelableFuture[Option[MGOBlob]] = repository.getOneDocument(filtr).toFuture
    onComplete(futOptPic) {
    case Success(optBlob) => optBlob match {
    case Some(blob) =>
    withoutSizeLimit {
    encodeResponseWith(Gzip) {
    complete(
    HttpEntity(
    ContentTypes.`application/octet-stream`,
    ByteArrayToSource(blob.getData)
    )
    )
    }
    }
    case None => complete(StatusCodes.NotFound)
    }
    case Failure(err) => complete(err)
    }
    } ~
    (post & parameter('bson)) { bson =>
    val bdoc = Document(bson)
    withoutSizeLimit {
    decodeRequest {
    extractDataBytes { bytes =>
    val futbytes = bytes.runFold(ByteString()) { case (hd, bs) =>
    hd ++ bs
    }
    val futmsg:Future[Completed] = for {
    bytes <- futbytes
    doc = Document(bson) + ("photo" -> bytes.toArray)
    c <- repository.insert(doc).toFuture[Completed]
    } yield c
    complete(futmsg.map(_.toString))
    }
    }
    }
    }
    } ~
    (get & parameters('filter.?,'fields.?,'sort.?,'top.as[Int].?,'next.?)) {
    (filter,fields,sort,top,next) => {
    dbor = {
    filter match {
    case Some(fltr) => repository.query(Document(fltr),next,sort,fields,top)
    case None => repository.getAll(next,sort,fields,top)
    }
    }
    val futRows:Future[Seq[WebPic]] = dbor.toFuture[Seq[WebPic]]
    complete(futureToJson(futRows))
    }
    } ~ post {
    entity(as[String]) { json =>
    val extractedEntity: M = fromJson[M](json)
    val doc: Document = extractedEntity.to
    val futmsg = repository.insert(doc).toFuture[Completed]
    complete(futmsg.map(_.toString))
    }
    } ~ (put & parameter('filter,'set.?, 'many.as[Boolean].?)) { (filter, set, many) =>
    val bson = Document(filter)
    if (set == None) {
    entity(as[String]) { json =>
    val extractedEntity: M = fromJson[M](json)
    val doc: Document = extractedEntity.to
    val futmsg = repository.replace(bson, doc).toFuture
    complete(futureToJson(futmsg))
    }
    } else {
    set match {
    case Some(u) =>
    val ubson = Document(u)
    dbou = repository.update(bson, ubson, many.getOrElse(true))
    case None =>
    dbou = Left(new IllegalArgumentException("missing set statement for update!"))
    }
    val futmsg:Future[UpdateResult] = dbou.toFuture[UpdateResult]
    complete(futureToJson(futmsg.map(_.toString)))
    }
    } ~ (delete & parameters('filter, 'many.as[Boolean].?)) { (filter,many) =>
    val bson = Document(filter)
    val futmsg:Future[DeleteResult] = repository.delete(bson).toFuture[DeleteResult]
    complete(futureToJson(futmsg.map(_.toString)))
    }
    }

    def addPicuture(pid: String,seqno: Int, optDesc: Option[String]
    ,optWid:Option[Int],optHgh:Option[Int],
    bytes: Array[Byte]):DBOResult[Completed] ={
    var doc = Document(
    "pid" -> pid,
    "seqno" -> seqno,
    "pic" -> bytes
    )
    if (optDesc != None)
    doc = doc + ("desc" -> optDesc.get)
    if (optWid != None)
    doc = doc + ("desc" -> optWid.get)
    if (optHgh != None)
    doc = doc + ("desc" -> optHgh.get)
    repository.insert(doc)
    }

    }

    }
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  • 原文地址:https://www.cnblogs.com/tiger-xc/p/11403466.html
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