pyparsing：在日期之间对文本进行分组

我的日志文件包含日期/时间，在下一个日期/时间之间有不同的行

前

时间日期
2018年7月2日13:55:00.983

msecVal = pyparsing.Word(pyparsing.nums, max=3)
numPair = pyparsing.Word(pyparsing.nums, exact=2)
dateStr = pyparsing.Combine(numPair + '/' + numPair + '/' + numPair)

timeString = pyparsing.Combine(numPair + ':' + numPair + ':' +     numPair\               
       + '.' + msecVal)

日志文件将被删除

time:date:  line of text
    possible 2nd line of text
    possible 3rd line of text...
    time:date:  line of text
time:date: line of text
    possible 2nd line of text
    possible 3rd line of text...
    possible <n> line of text...
time:date:  line of text

---

如果每个时间/日期条目都是一行，我可以这样做。。它跨越了随机的多行，直到下一个我遇到问题的时间/日期条目。

以下是我对日志条目定义的解释：

一行开头的日期时间，后跟冒号，后跟所有内容 直到行开头的下一个日期时间，即使可能有日期时间 嵌入线路中。”

要解决此问题，您需要两个pyparsing功能：

• LineStart-区分行开始处的日期时间与行正文中的日期时间

• SkipTo-快速跳过非结构化文本，直到找到匹配的表达式

我将这些表达式添加到您的代码中（我将pyparsing作为'pp'导入，因为我是一个懒惰的打字员）：

我将您的样本转换为具有不同的日期时间进行测试，我们得到以下结果：

sample = """\
2/07/18 13:55:00.983:  line of text
    possible 2nd line of text
    possible 3rd line of text...
    2/07/19 13:55:00.983:  line of text
2/07/20 13:55:00.983: line of text
    possible 2nd line of text
    possible 3rd line of text...
    possible <n> line of text...
2/07/21 13:55:00.983:  line of text
"""

print(pp.OneOrMore(logEntry).parseString(sample).dump())

否则它将与样本日期中的前导个位数“2”不匹配

dateTime = dateStr + timeString

# log entry date-time keys only match if they are at the start of the line
dateTimeKey = pp.LineStart() + dateTime

# define a log entry as a date-time key, followed by everything up to the next 
# date-time key, or to the end of the input string
# (use results names to make it easy to get at the parts of the log entry)
logEntry = pp.Group(dateTimeKey("time") + ':' + pp.Empty()
                    + pp.SkipTo(dateTimeKey | pp.StringEnd())("body"))

sample = """\
2/07/18 13:55:00.983:  line of text
    possible 2nd line of text
    possible 3rd line of text...
    2/07/19 13:55:00.983:  line of text
2/07/20 13:55:00.983: line of text
    possible 2nd line of text
    possible 3rd line of text...
    possible <n> line of text...
2/07/21 13:55:00.983:  line of text
"""

print(pp.OneOrMore(logEntry).parseString(sample).dump())

[['2/07/18', '13:55:00.983', ':', 'line of text\n    possible 2nd line of text\n    possible 3rd line of text...\n    2/07/19 13:55:00.983:  line of text'], ['2/07/20', '13:55:00.983', ':', 'line of text\n    possible 2nd line of text\n    possible 3rd line of text...\n    possible <n> line of text...'], ['2/07/21', '13:55:00.983', ':', 'line of text']]
[0]:
  ['2/07/18', '13:55:00.983', ':', 'line of text\n    possible 2nd line of text\n    possible 3rd line of text...\n    2/07/19 13:55:00.983:  line of text']
  - body: 'line of text\n    possible 2nd line of text\n    possible 3rd line of text...\n    2/07/19 13:55:00.983:  line of text'
  - time: ['2/07/18', '13:55:00.983']
[1]:
  ['2/07/20', '13:55:00.983', ':', 'line of text\n    possible 2nd line of text\n    possible 3rd line of text...\n    possible <n> line of text...']
  - body: 'line of text\n    possible 2nd line of text\n    possible 3rd line of text...\n    possible <n> line of text...'
  - time: ['2/07/20', '13:55:00.983']
[2]:
  ['2/07/21', '13:55:00.983', ':', 'line of text']
  - body: 'line of text'
  - time: ['2/07/21', '13:55:00.983']

numPair = pp.Word(pp.nums, max=2)