django1/django/utils/text.py

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import re
from django.conf import settings
# Capitalizes the first letter of a string.
capfirst = lambda x: x and x[0].upper() + x[1:]
def wrap(text, width):
"""
A word-wrap function that preserves existing line breaks and most spaces in
the text. Expects that existing line breaks are posix newlines.
"""
def _generator():
it = iter(text.split(' '))
word = it.next()
yield word
pos = len(word) - word.rfind('\n') - 1
for word in it:
if "\n" in word:
lines = word.splitlines()
else:
lines = (word,)
pos += len(lines[0]) + 1
if pos > width:
yield '\n'
pos = len(lines[-1])
else:
yield ' '
if len(lines) > 1:
pos = len(lines[-1])
yield word
return "".join(_generator())
def truncate_words(s, num):
"Truncates a string after a certain number of words."
length = int(num)
words = s.split()
if len(words) > length:
words = words[:length]
if not words[-1].endswith('...'):
words.append('...')
return ' '.join(words)
def truncate_html_words(s, num):
"""
Truncates html to a certain number of words (not counting tags and comments).
Closes opened tags if they were correctly closed in the given html.
"""
length = int(num)
if length <= 0:
return ''
html4_singlets = ('br', 'col', 'link', 'base', 'img', 'param', 'area', 'hr', 'input')
# Set up regular expressions
re_words = re.compile(r'&.*?;|<.*?>|([A-Za-z0-9][\w-]*)')
re_tag = re.compile(r'<(/)?([^ ]+?)(?: (/)| .*?)?>')
# Count non-HTML words and keep note of open tags
pos = 0
ellipsis_pos = 0
words = 0
open_tags = []
while words <= length:
m = re_words.search(s, pos)
if not m:
# Checked through whole string
break
pos = m.end(0)
if m.group(1):
# It's an actual non-HTML word
words += 1
if words == length:
ellipsis_pos = pos
continue
# Check for tag
tag = re_tag.match(m.group(0))
if not tag or ellipsis_pos:
# Don't worry about non tags or tags after our truncate point
continue
closing_tag, tagname, self_closing = tag.groups()
tagname = tagname.lower() # Element names are always case-insensitive
if self_closing or tagname in html4_singlets:
pass
elif closing_tag:
# Check for match in open tags list
try:
i = open_tags.index(tagname)
except ValueError:
pass
else:
# SGML: An end tag closes, back to the matching start tag, all unclosed intervening start tags with omitted end tags
open_tags = open_tags[i+1:]
else:
# Add it to the start of the open tags list
open_tags.insert(0, tagname)
if words <= length:
# Don't try to close tags if we don't need to truncate
return s
out = s[:ellipsis_pos] + ' ...'
# Close any tags still open
for tag in open_tags:
out += '</%s>' % tag
# Return string
return out
def get_valid_filename(s):
"""
Returns the given string converted to a string that can be used for a clean
filename. Specifically, leading and trailing spaces are removed; other
spaces are converted to underscores; and all non-filename-safe characters
are removed.
>>> get_valid_filename("john's portrait in 2004.jpg")
'johns_portrait_in_2004.jpg'
"""
s = s.strip().replace(' ', '_')
return re.sub(r'[^-A-Za-z0-9_.]', '', s)
def get_text_list(list_, last_word='or'):
"""
>>> get_text_list(['a', 'b', 'c', 'd'])
'a, b, c or d'
>>> get_text_list(['a', 'b', 'c'], 'and')
'a, b and c'
>>> get_text_list(['a', 'b'], 'and')
'a and b'
>>> get_text_list(['a'])
'a'
>>> get_text_list([])
''
"""
if len(list_) == 0: return ''
if len(list_) == 1: return list_[0]
return '%s %s %s' % (', '.join([str(i) for i in list_][:-1]), last_word, list_[-1])
def normalize_newlines(text):
return re.sub(r'\r\n|\r|\n', '\n', text)
def recapitalize(text):
"Recapitalizes text, placing caps after end-of-sentence punctuation."
# capwords = ()
text = text.lower()
capsRE = re.compile(r'(?:^|(?<=[\.\?\!] ))([a-z])')
text = capsRE.sub(lambda x: x.group(1).upper(), text)
# for capword in capwords:
# capwordRE = re.compile(r'\b%s\b' % capword, re.I)
# text = capwordRE.sub(capword, text)
return text
def phone2numeric(phone):
"Converts a phone number with letters into its numeric equivalent."
letters = re.compile(r'[A-PR-Y]', re.I)
char2number = lambda m: {'a': '2', 'c': '2', 'b': '2', 'e': '3',
'd': '3', 'g': '4', 'f': '3', 'i': '4', 'h': '4', 'k': '5',
'j': '5', 'm': '6', 'l': '5', 'o': '6', 'n': '6', 'p': '7',
's': '7', 'r': '7', 'u': '8', 't': '8', 'w': '9', 'v': '8',
'y': '9', 'x': '9'}.get(m.group(0).lower())
return letters.sub(char2number, phone)
# From http://www.xhaus.com/alan/python/httpcomp.html#gzip
# Used with permission.
def compress_string(s):
import cStringIO, gzip
zbuf = cStringIO.StringIO()
zfile = gzip.GzipFile(mode='wb', compresslevel=6, fileobj=zbuf)
zfile.write(s)
zfile.close()
return zbuf.getvalue()
ustring_re = re.compile(u"([\u0080-\uffff])")
def javascript_quote(s, quote_double_quotes=False):
def fix(match):
return r"\u%04x" % ord(match.group(1))
if type(s) == str:
s = s.decode(settings.DEFAULT_CHARSET)
elif type(s) != unicode:
raise TypeError, s
s = s.replace('\\', '\\\\')
s = s.replace('\r', '\\r')
s = s.replace('\n', '\\n')
s = s.replace('\t', '\\t')
s = s.replace("'", "\\'")
if quote_double_quotes:
s = s.replace('"', '&quot;')
return str(ustring_re.sub(fix, s))
smart_split_re = re.compile('("(?:[^"\\\\]*(?:\\\\.[^"\\\\]*)*)"|\'(?:[^\'\\\\]*(?:\\\\.[^\'\\\\]*)*)\'|[^\\s]+)')
def smart_split(text):
"""
Generator that splits a string by spaces, leaving quoted phrases together.
Supports both single and double quotes, and supports escaping quotes with
backslashes. In the output, strings will keep their initial and trailing
quote marks.
>>> list(smart_split('This is "a person\'s" test.'))
['This', 'is', '"a person\'s"', 'test.']
"""
for bit in smart_split_re.finditer(text):
bit = bit.group(0)
if bit[0] == '"':
yield '"' + bit[1:-1].replace('\\"', '"').replace('\\\\', '\\') + '"'
elif bit[0] == "'":
yield "'" + bit[1:-1].replace("\\'", "'").replace("\\\\", "\\") + "'"
else:
yield bit