scrapy/scrapy/utils/markup.py

154 lines
5.4 KiB
Python

"""
Functions for dealing with markup text
"""
import re
from htmlentitydefs import name2codepoint
from scrapy.utils.python import str_to_unicode
_ent_re = re.compile(r'&(#?(x?))([^&;\s]+);')
_tag_re = re.compile(r'<[a-zA-Z\/!].*?>', re.DOTALL)
def remove_entities(text, keep=(), remove_illegal=True, encoding='utf-8'):
"""Remove entities from the given text.
'text' can be a unicode string or a regular string encoded in the given
`encoding` (which defaults to 'utf-8').
If 'keep' is passed (with a list of entity names) those entities will
be kept (they won't be removed).
It supports both numeric (&#nnnn; and &#hhhh;) and named (&nbsp; &gt;)
entities.
If remove_illegal is True, entities that can't be converted are removed.
If remove_illegal is False, entities that can't be converted are kept "as
is". For more information see the tests.
Always returns a unicode string (with the entities removed).
"""
def convert_entity(m):
entity_body = m.group(3)
if m.group(1):
try:
if m.group(2):
number = int(entity_body, 16)
else:
number = int(entity_body, 10)
# Numeric character references in the 80-9F range are typically
# interpreted by browsers as representing the characters mapped
# to bytes 80-9F in the Windows-1252 encoding. For more info
# see: http://en.wikipedia.org/wiki/Character_encodings_in_HTML
if 0x80 <= number <= 0x9f:
return chr(number).decode('cp1252')
except ValueError:
number = None
else:
if entity_body in keep:
return m.group(0)
else:
number = name2codepoint.get(entity_body)
if number is not None:
try:
return unichr(number)
except ValueError:
pass
return u'' if remove_illegal else m.group(0)
return _ent_re.sub(convert_entity, str_to_unicode(text, encoding))
def has_entities(text):
return bool(_ent_re.search(str_to_unicode(text)))
def replace_tags(text, token=''):
"""Replace all markup tags found in the given text by the given token. By
default token is a null string so it just remove all tags.
'text' can be a unicode string or a regular string encoded as 'utf-8'
Always returns a unicode string.
"""
return _tag_re.sub(token, str_to_unicode(text))
def remove_comments(text):
""" Remove HTML Comments. """
return re.sub('<!--.*?-->', u'', str_to_unicode(text), re.DOTALL)
def remove_tags(text, which_ones=()):
""" Remove HTML Tags only.
which_ones -- is a tuple of which tags we want to remove.
if is empty remove all tags.
"""
if which_ones:
tags = ['<%s>|<%s .*?>|</%s>' % (tag,tag,tag) for tag in which_ones]
regex = '|'.join(tags)
else:
regex = '<.*?>'
retags = re.compile(regex, re.DOTALL | re.IGNORECASE)
return retags.sub(u'', str_to_unicode(text))
def remove_tags_with_content(text, which_ones=()):
""" Remove tags and its content.
which_ones -- is a tuple of which tags with its content we want to remove.
if is empty do nothing.
"""
text = str_to_unicode(text)
if which_ones:
tags = '|'.join(['<%s.*?</%s>' % (tag,tag) for tag in which_ones])
retags = re.compile(tags, re.DOTALL | re.IGNORECASE)
text = retags.sub(u'', text)
return text
def replace_escape_chars(text, which_ones=('\n','\t','\r'), replace_by=u''):
""" Remove escape chars. Default : \\n, \\t, \\r
which_ones -- is a tuple of which escape chars we want to remove.
By default removes \n, \t, \r.
replace_by -- text to replace the escape chars for.
It defaults to '', so the escape chars are removed.
"""
for ec in which_ones:
text = text.replace(ec, str_to_unicode(replace_by))
return str_to_unicode(text)
# FIXME: backwards compatibility - should be removed before 0.7 release
remove_escape_chars = replace_escape_chars
def unquote_markup(text, keep=(), remove_illegal=True):
"""
This function receives markup as a text (always a unicode string or a utf-8 encoded string) and does the following:
- removes entities (except the ones in 'keep') from any part of it that it's not inside a CDATA
- searches for CDATAs and extracts their text (if any) without modifying it.
- removes the found CDATAs
"""
_cdata_re = re.compile(r'((?P<cdata_s><!\[CDATA\[)(?P<cdata_d>.*?)(?P<cdata_e>\]\]>))', re.DOTALL)
def _get_fragments(txt, pattern):
offset = 0
for match in pattern.finditer(txt):
match_s, match_e = match.span(1)
yield txt[offset:match_s]
yield match
offset = match_e
yield txt[offset:]
text = str_to_unicode(text)
ret_text = u''
for fragment in _get_fragments(text, _cdata_re):
if isinstance(fragment, basestring):
# it's not a CDATA (so we try to remove its entities)
ret_text += remove_entities(fragment, keep=keep, remove_illegal=remove_illegal)
else:
# it's a CDATA (so we just extract its content)
ret_text += fragment.group('cdata_d')
return ret_text