Current File : //proc/thread-self/root/usr/lib/calibre/calibre/ebooks/conversion/preprocess.py
#!/usr/bin/env python3
__license__ = 'GPL v3'
__copyright__ = '2009, Kovid Goyal <kovid@kovidgoyal.net>'
__docformat__ = 'restructuredtext en'
import functools, re, json
from math import ceil
from calibre import entity_to_unicode, as_unicode
XMLDECL_RE = re.compile(r'^\s*<[?]xml.*?[?]>')
SVG_NS = 'http://www.w3.org/2000/svg'
XLINK_NS = 'http://www.w3.org/1999/xlink'
convert_entities = functools.partial(entity_to_unicode,
result_exceptions={
'<' : '<',
'>' : '>',
"'" : ''',
'"' : '"',
'&' : '&',
})
_span_pat = re.compile('<span.*?</span>', re.DOTALL|re.IGNORECASE)
LIGATURES = {
# '\u00c6': 'AE',
# '\u00e6': 'ae',
# '\u0152': 'OE',
# '\u0153': 'oe',
# '\u0132': 'IJ',
# '\u0133': 'ij',
# '\u1D6B': 'ue',
'\uFB00': 'ff',
'\uFB01': 'fi',
'\uFB02': 'fl',
'\uFB03': 'ffi',
'\uFB04': 'ffl',
'\uFB05': 'ft',
'\uFB06': 'st',
}
_ligpat = re.compile('|'.join(LIGATURES))
def sanitize_head(match):
x = match.group(1).strip()
x = _span_pat.sub('', x)
return '<head>\n%s\n</head>' % x
def chap_head(match):
chap = match.group('chap')
title = match.group('title')
if not title:
return '<h1>'+chap+'</h1><br/>\n'
else:
return '<h1>'+chap+'</h1>\n<h3>'+title+'</h3>\n'
def wrap_lines(match):
ital = match.group('ital')
if not ital:
return ' '
else:
return ital+' '
def smarten_punctuation(html, log=None):
from calibre.utils.smartypants import smartyPants
from calibre.ebooks.chardet import substitute_entites
from calibre.ebooks.conversion.utils import HeuristicProcessor
preprocessor = HeuristicProcessor(log=log)
from uuid import uuid4
start = 'calibre-smartypants-'+str(uuid4())
stop = 'calibre-smartypants-'+str(uuid4())
html = html.replace('<!--', start)
html = html.replace('-->', stop)
html = preprocessor.fix_nbsp_indents(html)
html = smartyPants(html)
html = html.replace(start, '<!--')
html = html.replace(stop, '-->')
return substitute_entites(html)
class DocAnalysis:
'''
Provides various text analysis functions to determine how the document is structured.
format is the type of document analysis will be done against.
raw is the raw text to determine the line length to use for wrapping.
Blank lines are excluded from analysis
'''
def __init__(self, format='html', raw=''):
raw = raw.replace(' ', ' ')
if format == 'html':
linere = re.compile(r'(?<=<p)(?![^>]*>\s*</p>).*?(?=</p>)', re.DOTALL)
elif format == 'pdf':
linere = re.compile(r'(?<=<br>)(?!\s*<br>).*?(?=<br>)', re.DOTALL)
elif format == 'spanned_html':
linere = re.compile('(?<=<span).*?(?=</span>)', re.DOTALL)
elif format == 'txt':
linere = re.compile('.*?\n')
self.lines = linere.findall(raw)
def line_length(self, percent):
'''
Analyses the document to find the median line length.
percentage is a decimal number, 0 - 1 which is used to determine
how far in the list of line lengths to use. The list of line lengths is
ordered smallest to largest and does not include duplicates. 0.5 is the
median value.
'''
lengths = []
for line in self.lines:
if len(line) > 0:
lengths.append(len(line))
if not lengths:
return 0
lengths = list(set(lengths))
total = sum(lengths)
avg = total / len(lengths)
max_line = ceil(avg * 2)
lengths = sorted(lengths)
for i in range(len(lengths) - 1, -1, -1):
if lengths[i] > max_line:
del lengths[i]
if percent > 1:
percent = 1
if percent < 0:
percent = 0
index = int(len(lengths) * percent) - 1
return lengths[index]
def line_histogram(self, percent):
'''
Creates a broad histogram of the document to determine whether it incorporates hard
line breaks. Lines are sorted into 20 'buckets' based on length.
percent is the percentage of lines that should be in a single bucket to return true
The majority of the lines will exist in 1-2 buckets in typical docs with hard line breaks
'''
minLineLength=20 # Ignore lines under 20 chars (typical of spaces)
maxLineLength=1900 # Discard larger than this to stay in range
buckets=20 # Each line is divided into a bucket based on length
# print("there are "+str(len(lines))+" lines")
# max = 0
# for line in self.lines:
# l = len(line)
# if l > max:
# max = l
# print("max line found is "+str(max))
# Build the line length histogram
hRaw = [0 for i in range(0,buckets)]
for line in self.lines:
l = len(line)
if l > minLineLength and l < maxLineLength:
l = int(l // 100)
# print("adding "+str(l))
hRaw[l]+=1
# Normalize the histogram into percents
totalLines = len(self.lines)
if totalLines > 0:
h = [float(count)/totalLines for count in hRaw]
else:
h = []
# print("\nhRaw histogram lengths are: "+str(hRaw))
# print(" percents are: "+str(h)+"\n")
# Find the biggest bucket
maxValue = 0
for i in range(0,len(h)):
if h[i] > maxValue:
maxValue = h[i]
if maxValue < percent:
# print("Line lengths are too variable. Not unwrapping.")
return False
else:
# print(str(maxValue)+" of the lines were in one bucket")
return True
class Dehyphenator:
'''
Analyzes words to determine whether hyphens should be retained/removed. Uses the document
itself is as a dictionary. This method handles all languages along with uncommon, made-up, and
scientific words. The primary disadvantage is that words appearing only once in the document
retain hyphens.
'''
def __init__(self, verbose=0, log=None):
self.log = log
self.verbose = verbose
# Add common suffixes to the regex below to increase the likelihood of a match -
# don't add suffixes which are also complete words, such as 'able' or 'sex'
# only remove if it's not already the point of hyphenation
self.suffix_string = (
"((ed)?ly|'?e?s||a?(t|s)?ion(s|al(ly)?)?|ings?|er|(i)?ous|"
"(i|a)ty|(it)?ies|ive|gence|istic(ally)?|(e|a)nce|m?ents?|ism|ated|"
"(e|u)ct(ed)?|ed|(i|ed)?ness|(e|a)ncy|ble|ier|al|ex|ian)$")
self.suffixes = re.compile(r"^%s" % self.suffix_string, re.IGNORECASE)
self.removesuffixes = re.compile(r"%s" % self.suffix_string, re.IGNORECASE)
# remove prefixes if the prefix was not already the point of hyphenation
self.prefix_string = '^(dis|re|un|in|ex)'
self.prefixes = re.compile(r'%s$' % self.prefix_string, re.IGNORECASE)
self.removeprefix = re.compile(r'%s' % self.prefix_string, re.IGNORECASE)
def dehyphenate(self, match):
firsthalf = match.group('firstpart')
secondhalf = match.group('secondpart')
try:
wraptags = match.group('wraptags')
except:
wraptags = ''
hyphenated = str(firsthalf) + "-" + str(secondhalf)
dehyphenated = str(firsthalf) + str(secondhalf)
if self.suffixes.match(secondhalf) is None:
lookupword = self.removesuffixes.sub('', dehyphenated)
else:
lookupword = dehyphenated
if len(firsthalf) > 4 and self.prefixes.match(firsthalf) is None:
lookupword = self.removeprefix.sub('', lookupword)
if self.verbose > 2:
self.log("lookup word is: "+lookupword+", orig is: " + hyphenated)
try:
searchresult = self.html.find(lookupword.lower())
except:
return hyphenated
if self.format == 'html_cleanup' or self.format == 'txt_cleanup':
if self.html.find(lookupword) != -1 or searchresult != -1:
if self.verbose > 2:
self.log(" Cleanup:returned dehyphenated word: " + dehyphenated)
return dehyphenated
elif self.html.find(hyphenated) != -1:
if self.verbose > 2:
self.log(" Cleanup:returned hyphenated word: " + hyphenated)
return hyphenated
else:
if self.verbose > 2:
self.log(" Cleanup:returning original text "+firsthalf+" + linefeed "+secondhalf)
return firsthalf+'\u2014'+wraptags+secondhalf
else:
if self.format == 'individual_words' and len(firsthalf) + len(secondhalf) <= 6:
if self.verbose > 2:
self.log("too short, returned hyphenated word: " + hyphenated)
return hyphenated
if len(firsthalf) <= 2 and len(secondhalf) <= 2:
if self.verbose > 2:
self.log("too short, returned hyphenated word: " + hyphenated)
return hyphenated
if self.html.find(lookupword) != -1 or searchresult != -1:
if self.verbose > 2:
self.log(" returned dehyphenated word: " + dehyphenated)
return dehyphenated
else:
if self.verbose > 2:
self.log(" returned hyphenated word: " + hyphenated)
return hyphenated
def __call__(self, html, format, length=1):
self.html = html
self.format = format
if format == 'html':
intextmatch = re.compile((
r'(?<=.{%i})(?P<firstpart>[^\W\-]+)(-|‐)\s*(?=<)(?P<wraptags>(</span>)?'
r'\s*(</[iubp]>\s*){1,2}(?P<up2threeblanks><(p|div)[^>]*>\s*(<p[^>]*>\s*</p>\s*)'
r'?</(p|div)>\s+){0,3}\s*(<[iubp][^>]*>\s*){1,2}(<span[^>]*>)?)\s*(?P<secondpart>[\w\d]+)') % length)
elif format == 'pdf':
intextmatch = re.compile((
r'(?<=.{%i})(?P<firstpart>[^\W\-]+)(-|‐)\s*(?P<wraptags><p>|'
r'</[iub]>\s*<p>\s*<[iub]>)\s*(?P<secondpart>[\w\d]+)')% length)
elif format == 'txt':
intextmatch = re.compile(
'(?<=.{%i})(?P<firstpart>[^\\W\\-]+)(-|‐)(\u0020|\u0009)*(?P<wraptags>(\n(\u0020|\u0009)*)+)(?P<secondpart>[\\w\\d]+)'% length)
elif format == 'individual_words':
intextmatch = re.compile(
r'(?!<)(?P<firstpart>[^\W\-]+)(-|‐)\s*(?P<secondpart>\w+)(?![^<]*?>)', re.UNICODE)
elif format == 'html_cleanup':
intextmatch = re.compile(
r'(?P<firstpart>[^\W\-]+)(-|‐)\s*(?=<)(?P<wraptags></span>\s*(</[iubp]>'
r'\s*<[iubp][^>]*>\s*)?<span[^>]*>|</[iubp]>\s*<[iubp][^>]*>)?\s*(?P<secondpart>[\w\d]+)')
elif format == 'txt_cleanup':
intextmatch = re.compile(
r'(?P<firstpart>[^\W\-]+)(-|‐)(?P<wraptags>\s+)(?P<secondpart>[\w\d]+)')
html = intextmatch.sub(self.dehyphenate, html)
return html
class CSSPreProcessor:
# Remove some of the broken CSS Microsoft products
# create
MS_PAT = re.compile(r'''
(?P<start>^|;|\{)\s* # The end of the previous rule or block start
(%s).+? # The invalid selectors
(?P<end>$|;|\}) # The end of the declaration
'''%'mso-|panose-|text-underline|tab-interval',
re.MULTILINE|re.IGNORECASE|re.VERBOSE)
def ms_sub(self, match):
end = match.group('end')
try:
start = match.group('start')
except:
start = ''
if end == ';':
end = ''
return start + end
def __call__(self, data, add_namespace=False):
from calibre.ebooks.oeb.base import XHTML_CSS_NAMESPACE
data = self.MS_PAT.sub(self.ms_sub, data)
if not add_namespace:
return data
# Remove comments as the following namespace logic will break if there
# are commented lines before the first @import or @charset rule. Since
# the conversion will remove all stylesheets anyway, we don't lose
# anything
data = re.sub(r'/\*.*?\*/', '', data, flags=re.DOTALL)
ans, namespaced = [], False
for line in data.splitlines():
ll = line.lstrip()
if not (namespaced or ll.startswith('@import') or not ll or
ll.startswith('@charset')):
ans.append(XHTML_CSS_NAMESPACE.strip())
namespaced = True
ans.append(line)
return '\n'.join(ans)
def accent_regex(accent_maps, letter_before=False):
accent_cat = set()
letters = set()
for accent in tuple(accent_maps):
accent_cat.add(accent)
k, v = accent_maps[accent].split(':', 1)
if len(k) != len(v):
raise ValueError(f'Invalid mapping for: {k} -> {v}')
accent_maps[accent] = lmap = dict(zip(k, v))
letters |= set(lmap)
if letter_before:
args = ''.join(letters), ''.join(accent_cat)
accent_group, letter_group = 2, 1
else:
args = ''.join(accent_cat), ''.join(letters)
accent_group, letter_group = 1, 2
pat = re.compile(r'([{}])\s*(?:<br[^>]*>){{0,1}}\s*([{}])'.format(*args), re.UNICODE)
def sub(m):
lmap = accent_maps[m.group(accent_group)]
return lmap.get(m.group(letter_group)) or m.group()
return pat, sub
def html_preprocess_rules():
ans = getattr(html_preprocess_rules, 'ans', None)
if ans is None:
ans = html_preprocess_rules.ans = [
# Remove huge block of contiguous spaces as they slow down
# the following regexes pretty badly
(re.compile(r'\s{10000,}'), ''),
# Some idiotic HTML generators (Frontpage I'm looking at you)
# Put all sorts of crap into <head>. This messes up lxml
(re.compile(r'<head[^>]*>(.*?)</head>', re.IGNORECASE|re.DOTALL), sanitize_head),
# Convert all entities, since lxml doesn't handle them well
(re.compile(r'&(\S+?);'), convert_entities),
# Remove the <![if/endif tags inserted by everybody's darling, MS Word
(re.compile(r'</{0,1}!\[(end){0,1}if\]{0,1}>', re.IGNORECASE), ''),
]
return ans
def pdftohtml_rules():
ans = getattr(pdftohtml_rules, 'ans', None)
if ans is None:
ans = pdftohtml_rules.ans = [
accent_regex({
'¨': 'aAeEiIoOuU:äÄëËïÏöÖüÜ',
'`': 'aAeEiIoOuU:àÀèÈìÌòÒùÙ',
'´': 'aAcCeEiIlLoOnNrRsSuUzZ:áÁćĆéÉíÍĺĹóÓńŃŕŔśŚúÚźŹ',
'ˆ': 'aAeEiIoOuU:âÂêÊîÎôÔûÛ',
'¸': 'cC:çÇ',
'˛': 'aAeE:ąĄęĘ',
'˙': 'zZ:żŻ',
'ˇ': 'cCdDeElLnNrRsStTzZ:čČďĎěĚľĽňŇřŘšŠťŤžŽ',
'°': 'uU:ůŮ',
}),
accent_regex({'`': 'aAeEiIoOuU:àÀèÈìÌòÒùÙ'}, letter_before=True),
# If pdf printed from a browser then the header/footer has a reliable pattern
(re.compile(r'((?<=</a>)\s*file:/{2,4}[A-Z].*<br>|file:////?[A-Z].*<br>(?=\s*<hr>))', re.IGNORECASE), lambda match: ''),
# Center separator lines
(re.compile(r'<br>\s*(?P<break>([*#•✦=] *){3,})\s*<br>'), lambda match: '<p>\n<p style="text-align:center">' + match.group('break') + '</p>'),
# Remove <hr> tags
(re.compile(r'<hr.*?>', re.IGNORECASE), ''),
# Remove gray background
(re.compile(r'<BODY[^<>]+>'), '<BODY>'),
# Convert line breaks to paragraphs
(re.compile(r'<br[^>]*>\s*'), '</p>\n<p>'),
(re.compile(r'<body[^>]*>\s*'), '<body>\n<p>'),
(re.compile(r'\s*</body>'), '</p>\n</body>'),
# Clean up spaces
(re.compile(r'(?<=[\.,;\?!”"\'])[\s^ ]*(?=<)'), ' '),
# Add space before and after italics
(re.compile(r'(?<!“)<i>'), ' <i>'),
(re.compile(r'</i>(?=\w)'), '</i> '),
]
return ans
def book_designer_rules():
ans = getattr(book_designer_rules, 'ans', None)
if ans is None:
ans = book_designer_rules.ans = [
# HR
(re.compile('<hr>', re.IGNORECASE),
lambda match : '<span style="page-break-after:always"> </span>'),
# Create header tags
(re.compile(r'<h2[^><]*?id=BookTitle[^><]*?(align=)*(?(1)(\w+))*[^><]*?>[^><]*?</h2>', re.IGNORECASE),
lambda match : '<h1 id="BookTitle" align="%s">%s</h1>'%(match.group(2) if match.group(2) else 'center', match.group(3))),
(re.compile(r'<h2[^><]*?id=BookAuthor[^><]*?(align=)*(?(1)(\w+))*[^><]*?>[^><]*?</h2>', re.IGNORECASE),
lambda match : '<h2 id="BookAuthor" align="%s">%s</h2>'%(match.group(2) if match.group(2) else 'center', match.group(3))),
(re.compile('<span[^><]*?id=title[^><]*?>(.*?)</span>', re.IGNORECASE|re.DOTALL),
lambda match : '<h2 class="title">%s</h2>'%(match.group(1),)),
(re.compile('<span[^><]*?id=subtitle[^><]*?>(.*?)</span>', re.IGNORECASE|re.DOTALL),
lambda match : '<h3 class="subtitle">%s</h3>'%(match.group(1),)),
]
return ans
class HTMLPreProcessor:
def __init__(self, log=None, extra_opts=None, regex_wizard_callback=None):
self.log = log
self.extra_opts = extra_opts
self.regex_wizard_callback = regex_wizard_callback
self.current_href = None
def is_baen(self, src):
return re.compile(r'<meta\s+name="Publisher"\s+content=".*?Baen.*?"',
re.IGNORECASE).search(src) is not None
def is_book_designer(self, raw):
return re.search('<H2[^><]*id=BookTitle', raw) is not None
def is_pdftohtml(self, src):
return '<!-- created by calibre\'s pdftohtml -->' in src[:1000]
def __call__(self, html, remove_special_chars=None,
get_preprocess_html=False):
if remove_special_chars is not None:
html = remove_special_chars.sub('', html)
html = html.replace('\0', '')
is_pdftohtml = self.is_pdftohtml(html)
if self.is_baen(html):
rules = []
elif self.is_book_designer(html):
rules = book_designer_rules()
elif is_pdftohtml:
rules = pdftohtml_rules()
else:
rules = []
start_rules = []
if not getattr(self.extra_opts, 'keep_ligatures', False):
html = _ligpat.sub(lambda m:LIGATURES[m.group()], html)
user_sr_rules = {}
# Function for processing search and replace
def do_search_replace(search_pattern, replace_txt):
from calibre.ebooks.conversion.search_replace import compile_regular_expression
try:
search_re = compile_regular_expression(search_pattern)
if not replace_txt:
replace_txt = ''
rules.insert(0, (search_re, replace_txt))
user_sr_rules[(search_re, replace_txt)] = search_pattern
except Exception as e:
self.log.error('Failed to parse %r regexp because %s' %
(search, as_unicode(e)))
# search / replace using the sr?_search / sr?_replace options
for i in range(1, 4):
search, replace = 'sr%d_search'%i, 'sr%d_replace'%i
search_pattern = getattr(self.extra_opts, search, '')
replace_txt = getattr(self.extra_opts, replace, '')
if search_pattern:
do_search_replace(search_pattern, replace_txt)
# multi-search / replace using the search_replace option
search_replace = getattr(self.extra_opts, 'search_replace', None)
if search_replace:
search_replace = json.loads(search_replace)
for search_pattern, replace_txt in reversed(search_replace):
do_search_replace(search_pattern, replace_txt)
end_rules = []
# delete soft hyphens - moved here so it's executed after header/footer removal
if is_pdftohtml:
# unwrap/delete soft hyphens
end_rules.append((re.compile(
r'[](</p>\s*<p>\s*)+\s*(?=[\[a-z\d])'), lambda match: ''))
# unwrap/delete soft hyphens with formatting
end_rules.append((re.compile(
r'[]\s*(</(i|u|b)>)+(</p>\s*<p>\s*)+\s*(<(i|u|b)>)+\s*(?=[\[a-z\d])'), lambda match: ''))
length = -1
if getattr(self.extra_opts, 'unwrap_factor', 0.0) > 0.01:
docanalysis = DocAnalysis('pdf', html)
length = docanalysis.line_length(getattr(self.extra_opts, 'unwrap_factor'))
if length:
# print("The pdf line length returned is " + str(length))
# unwrap em/en dashes
end_rules.append((re.compile(
r'(?<=.{%i}[–—])\s*<p>\s*(?=[\[a-z\d])' % length), lambda match: ''))
end_rules.append(
# Un wrap using punctuation
(re.compile((
r'(?<=.{%i}([a-zäëïöüàèìòùáćéíĺóŕńśúýâêîôûçąężıãõñæøþðßěľščťžňďřů,:)\\IAß]'
r'|(?<!\&\w{4});))\s*(?P<ital></(i|b|u)>)?\s*(</p>\s*<p>\s*)+\s*(?=(<(i|b|u)>)?'
r'\s*[\w\d$(])') % length, re.UNICODE), wrap_lines),
)
for rule in html_preprocess_rules() + start_rules:
html = rule[0].sub(rule[1], html)
if self.regex_wizard_callback is not None:
self.regex_wizard_callback(self.current_href, html)
if get_preprocess_html:
return html
def dump(raw, where):
import os
dp = getattr(self.extra_opts, 'debug_pipeline', None)
if dp and os.path.exists(dp):
odir = os.path.join(dp, 'input')
if os.path.exists(odir):
odir = os.path.join(odir, where)
if not os.path.exists(odir):
os.makedirs(odir)
name, i = None, 0
while not name or os.path.exists(os.path.join(odir, name)):
i += 1
name = '%04d.html'%i
with open(os.path.join(odir, name), 'wb') as f:
f.write(raw.encode('utf-8'))
# dump(html, 'pre-preprocess')
for rule in rules + end_rules:
try:
html = rule[0].sub(rule[1], html)
except Exception as e:
if rule in user_sr_rules:
self.log.error(
'User supplied search & replace rule: %s -> %s '
'failed with error: %s, ignoring.'%(
user_sr_rules[rule], rule[1], e))
else:
raise
if is_pdftohtml and length > -1:
# Dehyphenate
dehyphenator = Dehyphenator(self.extra_opts.verbose, self.log)
html = dehyphenator(html,'html', length)
if is_pdftohtml:
from calibre.ebooks.conversion.utils import HeuristicProcessor
pdf_markup = HeuristicProcessor(self.extra_opts, None)
totalwords = 0
if pdf_markup.get_word_count(html) > 7000:
html = pdf_markup.markup_chapters(html, totalwords, True)
# dump(html, 'post-preprocess')
# Handle broken XHTML w/ SVG (ugh)
if 'svg:' in html and SVG_NS not in html:
html = html.replace(
'<html', '<html xmlns:svg="%s"' % SVG_NS, 1)
if 'xlink:' in html and XLINK_NS not in html:
html = html.replace(
'<html', '<html xmlns:xlink="%s"' % XLINK_NS, 1)
html = XMLDECL_RE.sub('', html)
if getattr(self.extra_opts, 'asciiize', False):
from calibre.utils.localization import get_udc
from calibre.utils.mreplace import MReplace
unihandecoder = get_udc()
mr = MReplace(data={'«':'<'*3, '»':'>'*3})
html = mr.mreplace(html)
html = unihandecoder.decode(html)
if getattr(self.extra_opts, 'enable_heuristics', False):
from calibre.ebooks.conversion.utils import HeuristicProcessor
preprocessor = HeuristicProcessor(self.extra_opts, self.log)
html = preprocessor(html)
if is_pdftohtml:
html = html.replace('<!-- created by calibre\'s pdftohtml -->', '')
if getattr(self.extra_opts, 'smarten_punctuation', False):
html = smarten_punctuation(html, self.log)
try:
unsupported_unicode_chars = self.extra_opts.output_profile.unsupported_unicode_chars
except AttributeError:
unsupported_unicode_chars = ''
if unsupported_unicode_chars:
from calibre.utils.localization import get_udc
unihandecoder = get_udc()
for char in unsupported_unicode_chars:
asciichar = unihandecoder.decode(char)
html = html.replace(char, asciichar)
return html
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