在Scala中解析命令行参数的最佳方法是什么? 我个人更喜欢一些不需要外部罐子的轻量级的东西。
相关:
我如何解析Java中的命令行参数? c++有哪些参数解析器库? 在c#中解析命令行参数的最佳方法
在Scala中解析命令行参数的最佳方法是什么? 我个人更喜欢一些不需要外部罐子的轻量级的东西。
相关:
我如何解析Java中的命令行参数? c++有哪些参数解析器库? 在c#中解析命令行参数的最佳方法
当前回答
我喜欢这段代码的简洁外观…从这里的讨论中收集到: http://www.scala-lang.org/old/node/4380
object ArgParser {
val usage = """
Usage: parser [-v] [-f file] [-s sopt] ...
Where: -v Run verbosely
-f F Set input file to F
-s S Set Show option to S
"""
var filename: String = ""
var showme: String = ""
var debug: Boolean = false
val unknown = "(^-[^\\s])".r
val pf: PartialFunction[List[String], List[String]] = {
case "-v" :: tail => debug = true; tail
case "-f" :: (arg: String) :: tail => filename = arg; tail
case "-s" :: (arg: String) :: tail => showme = arg; tail
case unknown(bad) :: tail => die("unknown argument " + bad + "\n" + usage)
}
def main(args: Array[String]) {
// if there are required args:
if (args.length == 0) die()
val arglist = args.toList
val remainingopts = parseArgs(arglist,pf)
println("debug=" + debug)
println("showme=" + showme)
println("filename=" + filename)
println("remainingopts=" + remainingopts)
}
def parseArgs(args: List[String], pf: PartialFunction[List[String], List[String]]): List[String] = args match {
case Nil => Nil
case _ => if (pf isDefinedAt args) parseArgs(pf(args),pf) else args.head :: parseArgs(args.tail,pf)
}
def die(msg: String = usage) = {
println(msg)
sys.exit(1)
}
}
其他回答
scala-optparse-applicative
我认为Scala -optparse-applicative是Scala中功能最强大的命令行解析器库。
https://github.com/bmjames/scala-optparse-applicative
另一个库:scarg
我来自Java世界,我喜欢args4j,因为它简单,规范更可读(多亏了注释),并产生了格式化良好的输出。
下面是我的例子片段:
规范
import org.kohsuke.args4j.{CmdLineException, CmdLineParser, Option}
object CliArgs {
@Option(name = "-list", required = true,
usage = "List of Nutch Segment(s) Part(s)")
var pathsList: String = null
@Option(name = "-workdir", required = true,
usage = "Work directory.")
var workDir: String = null
@Option(name = "-master",
usage = "Spark master url")
var masterUrl: String = "local[2]"
}
解析
//var args = "-listt in.txt -workdir out-2".split(" ")
val parser = new CmdLineParser(CliArgs)
try {
parser.parseArgument(args.toList.asJava)
} catch {
case e: CmdLineException =>
print(s"Error:${e.getMessage}\n Usage:\n")
parser.printUsage(System.out)
System.exit(1)
}
println("workDir :" + CliArgs.workDir)
println("listFile :" + CliArgs.pathsList)
println("master :" + CliArgs.masterUrl)
关于无效论证
Error:Option "-list" is required
Usage:
-list VAL : List of Nutch Segment(s) Part(s)
-master VAL : Spark master url (default: local[2])
-workdir VAL : Work directory.
还有JCommander(免责声明:我创建了它):
object Main {
object Args {
@Parameter(
names = Array("-f", "--file"),
description = "File to load. Can be specified multiple times.")
var file: java.util.List[String] = null
}
def main(args: Array[String]): Unit = {
new JCommander(Args, args.toArray: _*)
for (filename <- Args.file) {
val f = new File(filename)
printf("file: %s\n", f.getName)
}
}
}
对于大多数情况,您不需要外部解析器。Scala的模式匹配允许以函数式风格使用参数。例如:
object MmlAlnApp {
val usage = """
Usage: mmlaln [--min-size num] [--max-size num] filename
"""
def main(args: Array[String]) {
if (args.length == 0) println(usage)
val arglist = args.toList
type OptionMap = Map[Symbol, Any]
def nextOption(map : OptionMap, list: List[String]) : OptionMap = {
def isSwitch(s : String) = (s(0) == '-')
list match {
case Nil => map
case "--max-size" :: value :: tail =>
nextOption(map ++ Map('maxsize -> value.toInt), tail)
case "--min-size" :: value :: tail =>
nextOption(map ++ Map('minsize -> value.toInt), tail)
case string :: opt2 :: tail if isSwitch(opt2) =>
nextOption(map ++ Map('infile -> string), list.tail)
case string :: Nil => nextOption(map ++ Map('infile -> string), list.tail)
case option :: tail => println("Unknown option "+option)
exit(1)
}
}
val options = nextOption(Map(),arglist)
println(options)
}
}
将打印,例如:
Map('infile -> test/data/paml-aln1.phy, 'maxsize -> 4, 'minsize -> 2)
这个版本只需要一个文件。很容易改进(通过使用列表)。
还要注意,这种方法允许连接多个命令行参数——甚至超过两个!