无法打开代码生成的游乐场文件

Question

摘要：

Xcode现在提供了一个名为CreateML的框架，该框架提供了机器学习训练功能。只能在.playground文件中使用。

问题：

我的工作流程受到影响，因为我需要在playground中手动重写动态值，然后在Xcode项目中再次重写动态值。

目标：

• 要在我的项目中自动生成Playground文件和相应的mlmodel处理代码，从而无需在多个项目中手动进行更改

  OR

• 以便将运动场文件包含在我的MacOS项目中，并使我的.swift文件与我的.playground文件进行通话。

当前失败的尝试：

• 当我尝试自动生成运动场文件时，无法打开它。我尝试双击它。我尝试将其拖动到Xcode中。我尝试单击鼠标右键，然后单击open with，但没有选择Xcode。这是我得到的错误。

OR

• 当我尝试将游乐场文件添加到我的项目中时。我只能运行游乐场文件或仅运行我的项目，我不知道如何使.playground文件与.swift通信。

代码：

public struct LogEntry: Error {
    var text: StaticString
    var type: OSLogType
    var argument: Any?
    var osLog = customLog
    
    init(text: StaticString, argument: Any? = nil, type: OSLogType = .error, osLog: OSLog = customLog) {
        self.text = text
        self.type = type
        self.osLog = osLog
        self.argument = argument
    }
    
    func log() {
        os_log(text , log: osLog, type: type, String(describing: argument))
        print(String(describing: argument))
    }
}

postfix operator *

extension Result where Failure == LogEntry {
    @discardableResult
    static postfix func *(expression: Self) -> Success? {
        switch expression {
        case .success(let win):
            return win
        case .failure(let fail):
            print(fail.localizedDescription)
            print(fail.text)
            print(fail.argument)
            return nil
        }
    }
}

extension String {
    
    static func mlplaygroundcode(
        _ csvaddy: String,
        target: String,
        modelname: String
    ) -> String {
        """
        import Cocoa
        import CreateML

        guard let stockCSV = URL(string: "\(csvaddy)") else { fatalError() }
        let stockData = try MLDataTable(contentsOf: stockCSV)
        let (trainingData, testData) = stockData.randomSplit(by: 0.8, seed: 0)
        let model = try MLRegressor(trainingData: stockData, targetColumn: "\(target)")
        let metrics = model.evaluation(on: testData)
        let predictions = try model.predictions(from: testData)
        try model.write(to: URL(fileURLWithPath: "/Users/\(NSUserName())/Desktop/iOS/TimeFountain/TimeFountain/\(modelname).mlmodel"), metadata: nil)
        """
    }
    
    
    /// Creates a csv for ml string.   self is the csv address.
    /// - Parameters:
    ///   - csvaddy: The address of the csv
    ///   - target: the target column header text
    ///   - modelname:
    /// - Returns: Returns the  playground address.
     func generateMLPlayground(
        target: String = .target,
        finalmodelname: String,
        playgroundName: String
    ) -> Result<String, LogEntry> {
        String.mlplaygroundcode(
            self,
            target: target,
            modelname: finalmodelname
        ).createFile(
            desktopPath: "iOS/TimeFountain/TimeFountain/",
            name: playgroundName, //"tesst",
            fileEnding: "playground"
        )
    }

        /// creates a file locally.
    /// - Parameters:
    ///   - desktopPath: Starts without a slash, ends with a slash.  Assumes the path starts after the desktop path is established. alt: "iOS/TimeFountain/TimeFountain/"
    ///   - name: Pass a name ie. ticker + .currentDate
    ///   - fileEnding: File ending such as csv or playground.  The period is not required.
    /// - Returns: returns a discardeable Resullt to account for multiple possible errors. 
    @discardableResult internal func createFile(
        desktopPath: String = "iOS/DataFrame/",
        name: String,
        fileEnding: String
    ) -> Result<String, LogEntry>  {
        let fileManager = FileManager.default
        var fileURL: URL?
        do {
            let path = try fileManager.url(
                for: .desktopDirectory,
                in: .allDomainsMask,
                appropriateFor: nil,
                create: false
            )
            fileURL = path.appendingPathComponent(desktopPath + name + "." + fileEnding)
            guard let fileURL = fileURL else {
                return Result(failure: LogEntry(text: "ERROR: did Not Assign File URL"))
            }
            try write(
                to: fileURL,
                atomically: true,
                encoding: .utf8
            )
        } catch let error {
            print("error creating file", error.localizedDescription)
            return Result(failure: LogEntry(text: "ERROR: error creating file"))
        }
        guard let url = fileURL else {
            return Result(failure: LogEntry(text: "ERROR: did Not Assign File URL"))
        }
        print(url.absoluteString)
        return Result(success: url.absoluteString)
    }
}

print(
    trainData.csvAddress.generateMLPlayground(
        finalmodelname: "TestMe",
        playgroundName: "TestMea"
    )*
)