我没有使用正则表达式，因为它很难处理嵌套代码。因此，这个代码片段应该能够允许你抓取带有平衡括号的代码段:

def extract_code(data):
    """ returns an array of code snippets from a string (data)"""
    start_pos = None
    end_pos = None
    count_open = 0
    count_close = 0
    code_snippets = []
    for i,v in enumerate(data):
        if v =='{':
            count_open+=1
            if not start_pos:
                start_pos= i
        if v=='}':
            count_close +=1
            if count_open == count_close and not end_pos:
                end_pos = i+1
        if start_pos and end_pos:
            code_snippets.append((start_pos,end_pos))
            start_pos = None
            end_pos = None

    return code_snippets

我使用它从文本文件中提取代码片段。

这个也有用

re.findall(r'\(.+\)', s)

因为js regex不支持递归匹配，我不能使平衡括号匹配工作。

这是一个简单的javascript循环版本，将“method(arg)”字符串转换为数组

push(number) map(test(a(a()))) bass(wow, abc)
$$(groups) filter({ type: 'ORGANIZATION', isDisabled: { $ne: true } }) pickBy(_id, type) map(test()) as(groups)

const parser = str => {
  let ops = []
  let method, arg
  let isMethod = true
  let open = []

  for (const char of str) {
    // skip whitespace
    if (char === ' ') continue

    // append method or arg string
    if (char !== '(' && char !== ')') {
      if (isMethod) {
        (method ? (method += char) : (method = char))
      } else {
        (arg ? (arg += char) : (arg = char))
      }
    }

    if (char === '(') {
      // nested parenthesis should be a part of arg
      if (!isMethod) arg += char
      isMethod = false
      open.push(char)
    } else if (char === ')') {
      open.pop()
      // check end of arg
      if (open.length < 1) {
        isMethod = true
        ops.push({ method, arg })
        method = arg = undefined
      } else {
        arg += char
      }
    }
  }

  return ops
}

// const test = parser(`$$(groups) filter({ type: 'ORGANIZATION', isDisabled: { $ne: true } }) pickBy(_id, type) map(test()) as(groups)`)
const test = parser(`push(number) map(test(a(a()))) bass(wow, abc)`)

console.log(test)

结果就像

[ { method: 'push', arg: 'number' },
  { method: 'map', arg: 'test(a(a()))' },
  { method: 'bass', arg: 'wow,abc' } ]

[ { method: '$$', arg: 'groups' },
  { method: 'filter',
    arg: '{type:\'ORGANIZATION\',isDisabled:{$ne:true}}' },
  { method: 'pickBy', arg: '_id,type' },
  { method: 'map', arg: 'test()' },
  { method: 'as', arg: 'groups' } ]

这可能有助于匹配平衡括号。

\s*\w+[(][^+]*[)]\s*

我没有使用正则表达式，因为它很难处理嵌套代码。因此，这个代码片段应该能够允许你抓取带有平衡括号的代码段:

def extract_code(data):
    """ returns an array of code snippets from a string (data)"""
    start_pos = None
    end_pos = None
    count_open = 0
    count_close = 0
    code_snippets = []
    for i,v in enumerate(data):
        if v =='{':
            count_open+=1
            if not start_pos:
                start_pos= i
        if v=='}':
            count_close +=1
            if count_open == count_close and not end_pos:
                end_pos = i+1
        if start_pos and end_pos:
            code_snippets.append((start_pos,end_pos))
            start_pos = None
            end_pos = None

    return code_snippets

我使用它从文本文件中提取代码片段。

"""
Here is a simple python program showing how to use regular
expressions to write a paren-matching recursive parser.

This parser recognises items enclosed by parens, brackets,
braces and <> symbols, but is adaptable to any set of
open/close patterns.  This is where the re package greatly
assists in parsing. 
"""

import re


# The pattern below recognises a sequence consisting of:
#    1. Any characters not in the set of open/close strings.
#    2. One of the open/close strings.
#    3. The remainder of the string.
# 
# There is no reason the opening pattern can't be the
# same as the closing pattern, so quoted strings can
# be included.  However quotes are not ignored inside
# quotes.  More logic is needed for that....


pat = re.compile("""
    ( .*? )
    ( \( | \) | \[ | \] | \{ | \} | \< | \> |
                           \' | \" | BEGIN | END | $ )
    ( .* )
    """, re.X)

# The keys to the dictionary below are the opening strings,
# and the values are the corresponding closing strings.
# For example "(" is an opening string and ")" is its
# closing string.

matching = { "(" : ")",
             "[" : "]",
             "{" : "}",
             "<" : ">",
             '"' : '"',
             "'" : "'",
             "BEGIN" : "END" }

# The procedure below matches string s and returns a
# recursive list matching the nesting of the open/close
# patterns in s.

def matchnested(s, term=""):
    lst = []
    while True:
        m = pat.match(s)

        if m.group(1) != "":
            lst.append(m.group(1))

        if m.group(2) == term:
            return lst, m.group(3)

        if m.group(2) in matching:
            item, s = matchnested(m.group(3), matching[m.group(2)])
            lst.append(m.group(2))
            lst.append(item)
            lst.append(matching[m.group(2)])
        else:
            raise ValueError("After <<%s %s>> expected %s not %s" %
                             (lst, s, term, m.group(2)))

# Unit test.

if __name__ == "__main__":
    for s in ("simple string",
              """ "double quote" """,
              """ 'single quote' """,
              "one'two'three'four'five'six'seven",
              "one(two(three(four)five)six)seven",
              "one(two(three)four)five(six(seven)eight)nine",
              "one(two)three[four]five{six}seven<eight>nine",
              "one(two[three{four<five>six}seven]eight)nine",
              "oneBEGINtwo(threeBEGINfourENDfive)sixENDseven",
              "ERROR testing ((( mismatched ))] parens"):
        print "\ninput", s
        try:
            lst, s = matchnested(s)
            print "output", lst
        except ValueError as e:
            print str(e)
    print "done"