restapi（6）- do it the functional way, 重温函数式编程
restapi（6）- do it the functional way, 重温函数式编程
用户1150956
发布于 2019-09-29 11:20:56
发布于 2019-09-29 11:20:56
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)
}
}
}本文参与 腾讯云自媒体分享计划，分享自作者个人站点/博客。
原始发表：2019-08-24 ，如有侵权请联系 cloudcommunity@tencent.com 删除
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