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].?, ‘ heig
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.mongoimport akka.http.scaladsl.server.Directivesimport 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.ActorMaterializerimport com.datatech.sdp.result.DBOResult._import org.mongodb.scala.model.Filters._import com.datatech.sdp.mongo.engine.MGOClasses._import monix.execution.CancelableFutureimport akka.util._import akka.http.scaladsl.model._import akka.http.scaladsl.coding.Gzipimport akka.stream.scaladsl._import MongoModels.WebPicimport 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) } }}