我想解析特定元素(如链接)的markdown文件,并从这些元素中获取值,但我找不到使用python-markdown包的方法。 是否可以使用所述包来实现,或者我应该将.md渲染为html然后使用像beautiful-soup这样的工具来解析html以获取元素和/或结构?
答案 0 :(得分:1)
答案 1 :(得分:0)
python3选项是ReParser
pip install ReParser
其文档中的示例(粘贴在最后)将输出:
[('Hello ', {}),
('bold', {'is_bold': True}),
(' world!', {}),
('\n', {'segment_type': 'LINE_BREAK'}),
('You can ', {}),
('try ', {'is_bold': True}),
('this', {'is_bold': True, 'is_italic': True}),
(' awesome', {'is_bold': True}),
(' ', {}),
('link', {'link_target': 'http://www.eff.org'}),
('.', {})]
示例代码为:
import re
from pprint import pprint
from reparser import Parser, Token, MatchGroup
boundary_chars = r'\s`!()\[\]{{}};:\'".,<>?«»“”‘’*_~='
b_left = r'(?:(?<=[' + boundary_chars + r'])|(?<=^))' # Lookbehind
b_right = r'(?:(?=[' + boundary_chars + r'])|(?=$))' # Lookahead
markdown_start = b_left + r'(?<!\\){tag}(?!\s)(?!{tag})'
markdown_end = r'(?<!{tag})(?<!\s)(?<!\\){tag}' + b_right
markdown_link = r'(?<!\\)\[(?P<link>.+?)\]\((?P<url>.+?)\)'
newline = r'\n|\r\n'
url_proto_regex = re.compile(r'(?i)^[a-z][\w-]+:/{1,3}')
def markdown(tag):
"""Return sequence of start and end regex patterns for simple Markdown tag"""
return (markdown_start.format(tag=tag), markdown_end.format(tag=tag))
def url_complete(url):
"""If URL doesn't start with protocol, prepend it with http://"""
return url if url_proto_regex.search(url) else 'http://' + url
tokens = [
Token('bi1', *markdown(r'\*\*\*'), is_bold=True, is_italic=True),
Token('bi2', *markdown(r'___'), is_bold=True, is_italic=True),
Token('b1', *markdown(r'\*\*'), is_bold=True),
Token('b2', *markdown(r'__'), is_bold=True),
Token('i1', *markdown(r'\*'), is_italic=True),
Token('i2', *markdown(r'_'), is_italic=True),
Token('pre3', *markdown(r'```'), skip=True),
Token('pre2', *markdown(r'``'), skip=True),
Token('pre1', *markdown(r'`'), skip=True),
Token('s', *markdown(r'~~'), is_strikethrough=True),
Token('u', *markdown(r'=='), is_underline=True),
Token('link', markdown_link, text=MatchGroup('link'),
link_target=MatchGroup('url', func=url_complete)),
Token('br', newline, text='\n', segment_type="LINE_BREAK")
]
parser = Parser(tokens)
text = ('Hello **bold** world!\n'
'You can **try *this* awesome** [link](www.eff.org).')
segments = parser.parse(text)
pprint([(segment.text, segment.params) for segment in segments])