Question

我正在尝试解析此字符串：

"@hello this is a string @really :dialogue I certainly agree #definitely #concur -goodbye"

进入这个：

at-sign: "@hello" // only the first encounter
content: "this is a string @really" // further @'s are all in content
notes: ["dialogue" : "I certainly agree"]
hashtags: ["#definitely", "#concur"]
keywords: ["-goodbye"] // could be multiple

我将字符串分隔成一个数组并在数组上迭代并手动挑选出部分字符串。

static func processText(text: String) {
  var stext = text.stringByTrimmingCharactersInSet(NSCharacterSet.whitespaceAndNewlineCharacterSet())
  var components: [String] = stext.componentsSeparatedByString(" ")

  var atsign: String?

  var contentList = [String]()
  var tags = Set<String>()
  var notes = [String: String]()

  var encounterNotes: Bool = false
  var notesKey = ""

  var keyword: String?

  for (idx, value) in enumerate(components) {
    if hasPrefixAtSign(value) && atsign == nil {
      encounterNotes = false
      atsign = value
    } else if hasPrefixHashTag(value) {
      encounterNotes = false
      tags.insert(value)
    } else if hasPrefixKeyword(value) && keyword == nil {
      encounterNotes = false
      keyword = value
    } else if hasPrefixNotes(value) {
      attribute = dropFirst(value.lowercaseString)
      encounterNotes = true
    } else if encounterNotes == true {
      if var aval = notes[attribute] {
        aval = aval + " " + value
        notes[attribute] = aval
      } else {
        notes[attribute] = value
      }
    } else {
      encounterNotes = false
      contentList += [value]
    }
  }

  var content = " ".join(contentList)
}

这是我到目前为止所拥有的。 它有效但有没有更好（更快）的方法来解析它使用NSRegularExpression或NSScanner？

如何有效地解析String

0 个答案: