Alamofire(四) Response源码解析

2019-08-25  本文已影响0人  伤心的EasyMan

前言

Alamofire的整个流程里还有最关键的一环没有探索,那就是Response和的使用和解析。

Response初探

先看一段简单代码

SessionManager.default
            .request(urlString)
            .response { (response) in
                print(response)
            }

在请求的过程中,必须要先request再调用response,那为什么能够实现这种效果呢?
其实这个在之前分析Requset流程的时候,有一个串行queue,添加了response任务,在request初始化的时候这个queue是挂起状态,如下所示

self.queue = {
            let operationQueue = OperationQueue()

            operationQueue.maxConcurrentOperationCount = 1
            operationQueue.isSuspended = true
            operationQueue.qualityOfService = .utility

            return operationQueue
        }()

在接收到请求完成的回调时,再设置了这个queue为不挂起状态,可以执行之前保存的response任务。这样子就实现了必须是在request请求完成后,才能调用response的效果

 func urlSession(_ session: URLSession, task: URLSessionTask, didCompleteWithError error: Error?) {
 //其他代码已省略
    queue.isSuspended = false
 }

Response内容探索

点进response里查看,这里做的操作就是上面说的把response任务加到queue里,这里创建的是一个DefaultDataResponse类型

 public func response(queue: DispatchQueue? = nil, completionHandler: @escaping (DefaultDataResponse) -> Void) -> Self {
        delegate.queue.addOperation {
            (queue ?? DispatchQueue.main).async {
                var dataResponse = DefaultDataResponse(
                    request: self.request,
                    response: self.response,
                    data: self.delegate.data,
                    error: self.delegate.error,
                    timeline: self.timeline
                )

                dataResponse.add(self.delegate.metrics)

                completionHandler(dataResponse)
            }
        }

        return self
    }
 public init(
        request: URLRequest?,
        response: HTTPURLResponse?,
        data: Data?,
        error: Error?,
        timeline: Timeline = Timeline(),
        metrics: AnyObject? = nil)
    {
        self.request = request
        self.response = response
        self.data = data
        self.error = error
        self.timeline = timeline
    }
var dataResponse = DefaultDataResponse(
                    request: self.request,
                    response: self.response,
                    data: self.delegate.data,
                    error: self.delegate.error,
                    timeline: self.timeline
                )

点进去找到DataTaskDelegate里的data,发现其实返回的是mutableData,那么mutableData又为何物呢?

override var data: Data? {
        if dataStream != nil {
            return nil
        } else {
            return mutableData
        }
    }

在当前DataTaskDelegatemutableData,发现了mutableData.append(data),现在很清楚了,我们外界的response.data就是从这里获取的

 func urlSession(_ session: URLSession, dataTask: URLSessionDataTask, didReceive data: Data) {
        if initialResponseTime == nil { initialResponseTime = CFAbsoluteTimeGetCurrent() }

        if let dataTaskDidReceiveData = dataTaskDidReceiveData {
            dataTaskDidReceiveData(session, dataTask, data)
        } else {
            if let dataStream = dataStream {
                dataStream(data)
            } else {
                mutableData.append(data)
            }

            let bytesReceived = Int64(data.count)
            totalBytesReceived += bytesReceived
            let totalBytesExpected = dataTask.response?.expectedContentLength ?? NSURLSessionTransferSizeUnknown

            progress.totalUnitCount = totalBytesExpected
            progress.completedUnitCount = totalBytesReceived

            if let progressHandler = progressHandler {
                progressHandler.queue.async { progressHandler.closure(self.progress) }
            }
        }
    }

同理,去找error是从哪里传递的过来的,很容易就找到它是didCompleteWithError里赋值的

func urlSession(_ session: URLSession, task: URLSessionTask, didCompleteWithError error: Error?) {
        if let taskDidCompleteWithError = taskDidCompleteWithError {
            taskDidCompleteWithError(session, task, error)
        } else {
            if let error = error {
                if self.error == nil { self.error = error }
            }
            //省略无关代码
        }
    }

探索到这里已经结束了,我们已经知道response是一个DefaultDataResponse结构体init后的数据,数据是由DataTaskDelegate里的回调方法传递过去的,DataTaskDelegate是由SessionDelegate分派详细任务的,SessionDelegate监听的是系统的URLSession的代理回调。
整个流程相当清晰,再一次感受到了Alamofire的强大之处!

DataResponseSerializer

我们经常会对response.data的数据要做序列化处理,才能满足我们的功能需求。这时候可以用到Alamofire里的自定义响应序列器了,先看看下面的使用代码

let dlResponseSerlize = DataResponseSerializer<String>.init(serializeResponse: { (request, response, data, error) -> Result<String> in
            print("原始数据 : \(response)")
            return .success("TestResponse!!!")
        })
        SessionManager.default
            .request(urlString)
            .response { (response) in
                print(response)
            }
            .response(responseSerializer: dlResponseSerlize) { (dlDataResponse) in
                print(dlDataResponse)
            }
  public init(serializeResponse: @escaping (URLRequest?, HTTPURLResponse?, Data?, Error?) -> Result<Value>) {
        self.serializeResponse = serializeResponse
    }
 public func response<T: DataResponseSerializerProtocol>(
        queue: DispatchQueue? = nil,
        responseSerializer: T,
        completionHandler: @escaping (DataResponse<T.SerializedObject>) -> Void)
        -> Self
    {
        delegate.queue.addOperation {
            let result = responseSerializer.serializeResponse(
                self.request,
                self.response,
                self.delegate.data,
                self.delegate.error
            )

            var dataResponse = DataResponse<T.SerializedObject>(
                request: self.request,
                response: self.response,
                data: self.delegate.data,
                result: result,
                timeline: self.timeline
            )

            dataResponse.add(self.delegate.metrics)

            (queue ?? DispatchQueue.main).async { completionHandler(dataResponse) }
        }

        return self
    }

Alamofire还默认提供了responseJSON序列器,直接把返回的结果转为json使用

SessionManager.default
            .request(urlString)
            .response { (response) in
                print(response)
            }.responseJSON { (jsonResponse) in
                print(jsonResponse)
        }

点进去看看responseJSON的实现,这里返回的是一个调用了response方法的结果,

 public func responseJSON(
        queue: DispatchQueue? = nil,
        options: JSONSerialization.ReadingOptions = .allowFragments,
        completionHandler: @escaping (DataResponse<Any>) -> Void)
        -> Self
    {
        return response(
            queue: queue,
            responseSerializer: DataRequest.jsonResponseSerializer(options: options),
            completionHandler: completionHandler
        )
    }

点进response方法看看,这个方法是和我们上面自定义序列器的方法是一模一样的,很容易想到,其实这里的不同只是传递的参数不同,这里传递的泛型参数不同DataRequest.jsonResponseSerializer(options: options),找到这个json序列器,发现这里返回的是Request.serializeResponseJSON的结果

  public static func jsonResponseSerializer(
        options: JSONSerialization.ReadingOptions = .allowFragments)
        -> DataResponseSerializer<Any>
    {
        return DataResponseSerializer { _, response, data, error in
            return Request.serializeResponseJSON(options: options, response: response, data: data, error: error)
        }
    }
 public static func serializeResponseJSON(
        options: JSONSerialization.ReadingOptions,
        response: HTTPURLResponse?,
        data: Data?,
        error: Error?)
        -> Result<Any>
    {
        guard error == nil else { return .failure(error!) }

        if let response = response, emptyDataStatusCodes.contains(response.statusCode) { return .success(NSNull()) }

        guard let validData = data, validData.count > 0 else {
            return .failure(AFError.responseSerializationFailed(reason: .inputDataNilOrZeroLength))
        }

        do {
            let json = try JSONSerialization.jsonObject(with: validData, options: options)
            return .success(json)
        } catch {
            return .failure(AFError.responseSerializationFailed(reason: .jsonSerializationFailed(error: error)))
        }
    }

总结

Alamofire把整个响应的流程简化成了一个静态的方法调用,并且用链式的方式来处理异步的Response解析。由于是链式的,我们可以在请求响应后,做一系列validate验证结果,result处理,自定义序列器等操作,可以满足开发中的很多需要。

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