mirror of
https://github.com/kovidgoyal/calibre.git
synced 2025-07-09 03:04:10 -04:00
Various improvements to preprocessing code. Also replace a couple of unicode punctuation characters that the SONY readers dont support when the Outpu profile is sony
This commit is contained in:
Kovid Goyal
commit
f54ee65bcc
@ -1,6 +1,6 @@
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#!/usr/bin/env python
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__license__ = 'GPL v3'
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__author__ = 'Tony Stegall'
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__author__ = 'Tony Stegall'
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__copyright__ = '2010, Tony Stegall or Tonythebookworm on mobiread.com'
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__version__ = '1.03'
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__date__ = '27, September 2010'
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@ -9,6 +9,8 @@ __docformat__ = 'restructuredtext en'
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import datetime
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from calibre.web.feeds.news import BasicNewsRecipe
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class AdvancedUserRecipe1282101454(BasicNewsRecipe):
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now = datetime.datetime.now()
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title = 'The AJC'
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@ -20,39 +22,39 @@ class AdvancedUserRecipe1282101454(BasicNewsRecipe):
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oldest_article = 1
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max_articles_per_feed = 100
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no_stylesheets = True
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masthead_url = 'http://gawand.org/wp-content/uploads/2010/06/ajc-logo.gif'
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extra_css = '''
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h1.articleHeadline{font-family:Arial,Helvetica,sans-serif; font-weight:bold;font-size:large;}
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h2.articleSubheadline{font-family:Arial,Helvetica,sans-serif; font-weight:normal;font-size:small;}
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p.byline{text-align:right; font-size:small;margin-top:0px;margin-bottom: 0px;}
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p.organization{text-align:right; font-size:small;margin-top:0px;margin-bottom: 0px;}
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p{font-family:Helvetica,Arial,sans-serif;font-size:small;}
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'''
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keep_only_tags = [
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dict(name='div', attrs={'class':['cxArticleHeader']})
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,dict(attrs={'id':['cxArticleText']})
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]
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remove_tags = [
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dict(name='div' , attrs={'class':'cxArticleList' })
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,dict(name='div' , attrs={'class':'cxFeedTease' })
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,dict(name='div' , attrs={'class':'cxElementEnlarge' })
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,dict(name='div' , attrs={'id':'cxArticleTools' })
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]
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feeds = [
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('Breaking News', 'http://www.ajc.com/genericList-rss.do?source=61499'),
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# -------------------------------------------------------------------
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# Here are the different area feeds. Choose which ever one you wish to
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# Here are the different area feeds. Choose which ever one you wish to
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# read by simply removing the pound sign from it. I currently have it
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# set to only get the Cobb area
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# --------------------------------------------------------------------
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@ -70,7 +72,7 @@ class AdvancedUserRecipe1282101454(BasicNewsRecipe):
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('Opinions', 'http://www.ajc.com/section-rss.do?source=opinion'),
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('Ga Politics', 'http://www.ajc.com/section-rss.do?source=georgia-politics-elections'),
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# ------------------------------------------------------------------------
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# Here are the different sports feeds. I only follow the Falcons, and Highschool
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# Here are the different sports feeds. I only follow the Falcons, and Highschool
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# but again
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# You can enable which ever team you like by removing the pound sign
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# ------------------------------------------------------------------------
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@ -85,25 +87,25 @@ class AdvancedUserRecipe1282101454(BasicNewsRecipe):
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('Music', 'http://www.accessatlanta.com/section-rss.do?source=music'),
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]
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def postprocess_html(self, soup, first):
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for credit_tag in soup.findAll('span', attrs={'class':['imageCredit rightFloat']}):
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credit_tag.extract()
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return soup
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#def print_version(self, url):
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# return url.partition('?')[0] +'?printArticle=y'
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@ -1,6 +1,6 @@
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#!/usr/bin/env python
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__license__ = 'GPL v3'
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__author__ = 'Tony Stegall'
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__author__ = 'Tony Stegall'
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__copyright__ = '2010, Tony Stegall or Tonythebookworm on mobiread.com'
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__version__ = '1.04'
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__date__ = '27, September 2010'
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@ -8,7 +8,7 @@ __docformat__ = 'restructuredtext en'
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from calibre.web.feeds.news import BasicNewsRecipe
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from calibre.ebooks.BeautifulSoup import BeautifulSoup, re
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class AdvancedUserRecipe1282101454(BasicNewsRecipe):
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title = 'Nealz Nuze'
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language = 'en'
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@ -18,7 +18,7 @@ class AdvancedUserRecipe1282101454(BasicNewsRecipe):
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category = 'news, politics, USA, talkshow'
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oldest_article = 1
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max_articles_per_feed = 100
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no_stylesheets = True
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remove_javascript = True
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use_embedded_content = True
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@ -26,5 +26,5 @@ class AdvancedUserRecipe1282101454(BasicNewsRecipe):
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conversion_options = {'linearize_tables' : True}
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feeds = [
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('NUZE', 'http://boortz.com/nealz_nuze_rss/rss.xml')
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]
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@ -1,5 +1,5 @@
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from calibre.web.feeds.news import BasicNewsRecipe
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from calibre.ebooks.BeautifulSoup import BeautifulSoup, re
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import re
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class AdvancedUserRecipe1282101454(BasicNewsRecipe):
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title = 'Popular Science'
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@ -13,35 +13,35 @@ class AdvancedUserRecipe1282101454(BasicNewsRecipe):
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no_stylesheets = True
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remove_javascript = True
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use_embedded_content = True
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masthead_url = 'http://www.raytheon.com/newsroom/rtnwcm/groups/Public/documents/masthead/rtn08_popscidec_masthead.jpg'
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feeds = [
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('Gadgets', 'http://www.popsci.com/full-feed/gadgets'),
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('Cars', 'http://www.popsci.com/full-feed/cars'),
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('Science', 'http://www.popsci.com/full-feed/science'),
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('Technology', 'http://www.popsci.com/full-feed/technology'),
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('DIY', 'http://www.popsci.com/full-feed/diy'),
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]
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#The following will get read of the Gallery: links when found
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#The following will get read of the Gallery: links when found
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def preprocess_html(self, soup) :
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print 'SOUP IS: ', soup
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weblinks = soup.findAll(['head','h2'])
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if weblinks is not None:
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for link in weblinks:
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if re.search('(Gallery)(:)',str(link)):
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link.parent.extract()
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return soup
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#-----------------------------------------------------------------
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#-----------------------------------------------------------------
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@ -1,3 +1,4 @@
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# vim:fileencoding=UTF-8:ts=4:sw=4:sta:et:sts=4:ai
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from __future__ import with_statement
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__license__ = 'GPL 3'
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__copyright__ = '2009, Kovid Goyal <kovid@kovidgoyal.net>'
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@ -251,6 +252,9 @@ class OutputProfile(Plugin):
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#: The character used to represent a star in ratings
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ratings_char = u'*'
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#: Unsupported unicode characters to be replaced during preprocessing
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unsupported_unicode_chars = []
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@classmethod
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def tags_to_string(cls, tags):
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return escape(', '.join(tags))
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@ -422,6 +426,8 @@ class SonyReaderOutput(OutputProfile):
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dpi = 168.451
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fbase = 12
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fsizes = [7.5, 9, 10, 12, 15.5, 20, 22, 24]
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unsupported_unicode_chars = [u'\u201f', u'\u201b']
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class KoboReaderOutput(OutputProfile):
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@ -62,49 +62,104 @@ def wrap_lines(match):
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else:
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return ital+' '
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def line_length(format, raw, percent):
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class DocAnalysis(object):
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'''
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raw is the raw text to find the line length to use for wrapping.
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percentage is a decimal number, 0 - 1 which is used to determine
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how far in the list of line lengths to use. The list of line lengths is
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ordered smallest to larged and does not include duplicates. 0.5 is the
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median value.
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Provides various text analysis functions to determine how the document is structured.
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format is the type of document analysis will be done against.
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raw is the raw text to determine the line length to use for wrapping.
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Blank lines are excluded from analysis
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'''
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raw = raw.replace(' ', ' ')
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if format == 'html':
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linere = re.compile('(?<=<p).*?(?=</p>)', re.DOTALL)
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elif format == 'pdf':
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linere = re.compile('(?<=<br>).*?(?=<br>)', re.DOTALL)
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elif format == 'spanned_html':
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linere = re.compile('(?<=<span).*?(?=</span>)', re.DOTALL)
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lines = linere.findall(raw)
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lengths = []
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for line in lines:
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if len(line) > 0:
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lengths.append(len(line))
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def __init__(self, format='html', raw=''):
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raw = raw.replace(' ', ' ')
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if format == 'html':
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linere = re.compile('(?<=<p)(?![^>]*>\s*</p>).*?(?=</p>)', re.DOTALL)
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elif format == 'pdf':
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linere = re.compile('(?<=<br>)(?!\s*<br>).*?(?=<br>)', re.DOTALL)
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elif format == 'spanned_html':
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linere = re.compile('(?<=<span).*?(?=</span>)', re.DOTALL)
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self.lines = linere.findall(raw)
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if not lengths:
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return 0
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def line_length(self, percent):
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'''
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Analyses the document to find the median line length.
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percentage is a decimal number, 0 - 1 which is used to determine
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how far in the list of line lengths to use. The list of line lengths is
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ordered smallest to larged and does not include duplicates. 0.5 is the
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median value.
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'''
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lengths = []
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for line in self.lines:
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if len(line) > 0:
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lengths.append(len(line))
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lengths = list(set(lengths))
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total = sum(lengths)
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avg = total / len(lengths)
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max_line = avg * 2
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if not lengths:
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return 0
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lengths = sorted(lengths)
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for i in range(len(lengths) - 1, -1, -1):
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if lengths[i] > max_line:
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del lengths[i]
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lengths = list(set(lengths))
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total = sum(lengths)
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avg = total / len(lengths)
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max_line = avg * 2
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if percent > 1:
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percent = 1
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if percent < 0:
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percent = 0
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lengths = sorted(lengths)
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for i in range(len(lengths) - 1, -1, -1):
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if lengths[i] > max_line:
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del lengths[i]
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index = int(len(lengths) * percent) - 1
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if percent > 1:
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percent = 1
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if percent < 0:
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percent = 0
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return lengths[index]
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index = int(len(lengths) * percent) - 1
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return lengths[index]
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def line_histogram(self, percent):
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'''
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Creates a broad histogram of the document to determine whether it incorporates hard
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line breaks. Lines are sorted into 20 'buckets' based on length.
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percent is the percentage of lines that should be in a single bucket to return true
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The majority of the lines will exist in 1-2 buckets in typical docs with hard line breaks
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'''
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minLineLength=20 # Ignore lines under 20 chars (typical of spaces)
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maxLineLength=1900 # Discard larger than this to stay in range
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buckets=20 # Each line is divided into a bucket based on length
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#print "there are "+str(len(lines))+" lines"
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#max = 0
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#for line in self.lines:
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# l = len(line)
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# if l > max:
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# max = l
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#print "max line found is "+str(max)
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# Build the line length histogram
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hRaw = [ 0 for i in range(0,buckets) ]
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for line in self.lines:
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l = len(line)
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if l > minLineLength and l < maxLineLength:
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l = int(l/100)
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#print "adding "+str(l)
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hRaw[l]+=1
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# Normalize the histogram into percents
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totalLines = len(self.lines)
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h = [ float(count)/totalLines for count in hRaw ]
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#print "\nhRaw histogram lengths are: "+str(hRaw)
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#print " percents are: "+str(h)+"\n"
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# Find the biggest bucket
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maxValue = 0
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for i in range(0,len(h)):
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if h[i] > maxValue:
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maxValue = h[i]
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if maxValue < percent:
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#print "Line lengths are too variable. Not unwrapping."
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return False
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else:
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#print str(maxValue)+" of the lines were in one bucket"
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return True
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class Dehyphenator(object):
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'''
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@ -117,42 +172,62 @@ class Dehyphenator(object):
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def __init__(self):
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# Add common suffixes to the regex below to increase the likelihood of a match -
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# don't add suffixes which are also complete words, such as 'able' or 'sex'
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self.removesuffixes = re.compile(r"((ed)?ly|('e)?s|a?(t|s)ion(s|al(ly)?)?|ings?|(i)?ous|(i|a)ty|(it)?ies|ive|gence|istic|(e|a)nce|ment(s)?|ism|ated|(e|u)ct(ed)?|ed|(i|ed)?ness|(e|a)ncy|ble|ier|al|ex)$", re.IGNORECASE)
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self.removesuffixes = re.compile(r"((ed)?ly|('e)?s|a?(t|s)?ion(s|al(ly)?)?|ings?|er|(i)?ous|(i|a)ty|(it)?ies|ive|gence|istic(ally)?|(e|a)nce|ment(s)?|ism|ated|(e|u)ct(ed)?|ed|(i|ed)?ness|(e|a)ncy|ble|ier|al|ex)$", re.IGNORECASE)
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# remove prefixes if the prefix was not already the point of hyphenation
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self.prefixes = re.compile(r'^(un|in|ex)$', re.IGNORECASE)
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self.removeprefix = re.compile(r'^(un|in|ex)', re.IGNORECASE)
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self.prefixes = re.compile(r'^(dis|re|un|in|ex)$', re.IGNORECASE)
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self.removeprefix = re.compile(r'^(dis|re|un|in|ex)', re.IGNORECASE)
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def dehyphenate(self, match):
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firsthalf = match.group('firstpart')
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secondhalf = match.group('secondpart')
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try:
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wraptags = match.group('wraptags')
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except:
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wraptags = ''
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hyphenated = str(firsthalf) + "-" + str(secondhalf)
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dehyphenated = str(firsthalf) + str(secondhalf)
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lookupword = self.removesuffixes.sub('', dehyphenated)
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if self.prefixes.match(firsthalf) is None:
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lookupword = self.removeprefix.sub('', lookupword)
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booklookup = re.compile(u'%s' % lookupword, re.IGNORECASE)
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#print "lookup word is: "+str(lookupword)+", orig is: " + str(hyphenated)
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match = booklookup.search(self.html)
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if match:
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#print "returned dehyphenated word: " + str(dehyphenated)
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return dehyphenated
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else:
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#print "returned hyphenated word: " + str(hyphenated)
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try:
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searchresult = self.html.find(str.lower(lookupword))
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except:
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return hyphenated
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if self.format == 'html_cleanup':
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if self.html.find(lookupword) != -1 or searchresult != -1:
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#print "Cleanup:returned dehyphenated word: " + str(dehyphenated)
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return dehyphenated
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elif self.html.find(hyphenated) != -1:
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#print "Cleanup:returned hyphenated word: " + str(hyphenated)
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return hyphenated
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else:
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#print "Cleanup:returning original text "+str(firsthalf)+" + linefeed "+str(secondhalf)
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return firsthalf+u'\u2014'+wraptags+secondhalf
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else:
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if self.html.find(lookupword) != -1 or searchresult != -1:
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#print "returned dehyphenated word: " + str(dehyphenated)
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return dehyphenated
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else:
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#print " returned hyphenated word: " + str(hyphenated)
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return hyphenated
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def __call__(self, html, format, length=1):
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self.html = html
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self.format = format
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if format == 'html':
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intextmatch = re.compile(u'(?<=.{%i})(?P<firstpart>[^“"\s>]+)-\s*(?=<)(</span>\s*(</[iubp]>\s*<[iubp][^>]*>\s*)?<span[^>]*>|</[iubp]>\s*<[iubp][^>]*>)?\s*(?P<secondpart>[\w\d]+)' % length)
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intextmatch = re.compile(u'(?<=.{%i})(?P<firstpart>[^\[\]\\\^\$\.\|\?\*\+\(\)“"\s>]+)-\s*(?=<)(?P<wraptags></span>\s*(</[iubp]>\s*<[iubp][^>]*>\s*)?<span[^>]*>|</[iubp]>\s*<[iubp][^>]*>)?\s*(?P<secondpart>[\w\d]+)' % length)
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elif format == 'pdf':
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intextmatch = re.compile(u'(?<=.{%i})(?P<firstpart>[^“"\s>]+)-\s*(<p>|</[iub]>\s*<p>\s*<[iub]>)\s*(?P<secondpart>[\w\d]+)'% length)
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intextmatch = re.compile(u'(?<=.{%i})(?P<firstpart>[^\[\]\\\^\$\.\|\?\*\+\(\)“"\s>]+)-\s*(?P<wraptags><p>|</[iub]>\s*<p>\s*<[iub]>)\s*(?P<secondpart>[\w\d]+)'% length)
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elif format == 'individual_words':
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intextmatch = re.compile('>[^<]*\b(?P<firstpart>[^"\s>]+)-(?P<secondpart)\w+)\b[^<]*<') # for later, not called anywhere yet
|
||||
intextmatch = re.compile(u'>[^<]*\b(?P<firstpart>[^\[\]\\\^\$\.\|\?\*\+\(\)"\s>]+)-(?P<secondpart)\w+)\b[^<]*<') # for later, not called anywhere yet
|
||||
elif format == 'html_cleanup':
|
||||
intextmatch = re.compile(u'(?P<firstpart>[^\[\]\\\^\$\.\|\?\*\+\(\)“"\s>]+)-\s*(?=<)(?P<wraptags></span>\s*(</[iubp]>\s*<[iubp][^>]*>\s*)?<span[^>]*>|</[iubp]>\s*<[iubp][^>]*>)?\s*(?P<secondpart>[\w\d]+)')
|
||||
|
||||
html = intextmatch.sub(self.dehyphenate, html)
|
||||
return html
|
||||
|
||||
|
||||
class CSSPreProcessor(object):
|
||||
|
||||
PAGE_PAT = re.compile(r'@page[^{]*?{[^}]*?}')
|
||||
@ -286,7 +361,7 @@ class HTMLPreProcessor(object):
|
||||
(re.compile(r'<BODY[^<>]+>'), lambda match : '<BODY>'),
|
||||
|
||||
# Detect Chapters to match default XPATH in GUI
|
||||
(re.compile(r'<br>\s*(?P<chap>(<[ibu]>){0,2}\s*.?(Introduction|Chapter|Epilogue|Prologue|Book|Part|Dedication|Volume|Preface|Acknowledgments)\s*([\d\w-]+\s*){0,3}\s*(</[ibu]>){0,2})\s*(<br>\s*){1,3}\s*(?P<title>(<[ibu]>){0,2}(\s*\w+){1,4}\s*(</[ibu]>){0,2}\s*<br>)?', re.IGNORECASE), chap_head),
|
||||
(re.compile(r'<br>\s*(?P<chap>(<[ibu]>){0,2}\s*.?(Introduction|Chapter|Kapitel|Epilogue|Prologue|Book|Part|Dedication|Volume|Preface|Acknowledgments)\s*([\d\w-]+\s*){0,3}\s*(</[ibu]>){0,2})\s*(<br>\s*){1,3}\s*(?P<title>(<[ibu]>){0,2}(\s*\w+){1,4}\s*(</[ibu]>){0,2}\s*<br>)?', re.IGNORECASE), chap_head),
|
||||
# Cover the case where every letter in a chapter title is separated by a space
|
||||
(re.compile(r'<br>\s*(?P<chap>([A-Z]\s+){4,}\s*([\d\w-]+\s*){0,3}\s*)\s*(<br>\s*){1,3}\s*(?P<title>(<[ibu]>){0,2}(\s*\w+){1,4}\s*(</[ibu]>){0,2}\s*(<br>))?'), chap_head),
|
||||
|
||||
@ -374,10 +449,8 @@ class HTMLPreProcessor(object):
|
||||
print 'Failed to parse remove_footer regexp'
|
||||
traceback.print_exc()
|
||||
|
||||
# unwrap em/en dashes, delete soft hyphens - moved here so it's executed after header/footer removal
|
||||
# delete soft hyphens - moved here so it's executed after header/footer removal
|
||||
if is_pdftohtml:
|
||||
# unwrap em/en dashes
|
||||
end_rules.append((re.compile(u'(?<=[–—])\s*<p>\s*(?=[[a-z\d])'), lambda match: ''))
|
||||
# unwrap/delete soft hyphens
|
||||
end_rules.append((re.compile(u'[](\s*<p>)+\s*(?=[[a-z\d])'), lambda match: ''))
|
||||
# unwrap/delete soft hyphens with formatting
|
||||
@ -391,12 +464,15 @@ class HTMLPreProcessor(object):
|
||||
|
||||
length = -1
|
||||
if getattr(self.extra_opts, 'unwrap_factor', 0.0) > 0.01:
|
||||
length = line_length('pdf', html, getattr(self.extra_opts, 'unwrap_factor'))
|
||||
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)
|
||||
#print "The pdf line length returned is " + str(length)
|
||||
# unwrap em/en dashes
|
||||
end_rules.append((re.compile(u'(?<=.{%i}[–—])\s*<p>\s*(?=[[a-z\d])' % length), lambda match: ''))
|
||||
end_rules.append(
|
||||
# Un wrap using punctuation
|
||||
(re.compile(r'(?<=.{%i}([a-z,:)\IA]|(?<!\&\w{4});))\s*(?P<ital></(i|b|u)>)?\s*(<p.*?>\s*)+\s*(?=(<(i|b|u)>)?\s*[\w\d$(])' % length, re.UNICODE), wrap_lines),
|
||||
(re.compile(u'(?<=.{%i}([a-z,:)\IA\u00DF]|(?<!\&\w{4});))\s*(?P<ital></(i|b|u)>)?\s*(<p.*?>\s*)+\s*(?=(<(i|b|u)>)?\s*[\w\d$(])' % length, re.UNICODE), wrap_lines),
|
||||
)
|
||||
|
||||
for rule in self.PREPROCESS + start_rules:
|
||||
@ -454,6 +530,14 @@ class HTMLPreProcessor(object):
|
||||
if getattr(self.extra_opts, 'smarten_punctuation', False):
|
||||
html = self.smarten_punctuation(html)
|
||||
|
||||
unsupported_unicode_chars = self.extra_opts.output_profile.unsupported_unicode_chars
|
||||
if unsupported_unicode_chars:
|
||||
from calibre.ebooks.unidecode.unidecoder import Unidecoder
|
||||
unidecoder = Unidecoder()
|
||||
for char in unsupported_unicode_chars:
|
||||
asciichar = unidecoder.decode(char)
|
||||
html = html.replace(char, asciichar)
|
||||
|
||||
return html
|
||||
|
||||
def smarten_punctuation(self, html):
|
||||
|
||||
@ -6,7 +6,7 @@ __copyright__ = '2010, Kovid Goyal <kovid@kovidgoyal.net>'
|
||||
__docformat__ = 'restructuredtext en'
|
||||
|
||||
import re
|
||||
from calibre.ebooks.conversion.preprocess import line_length, Dehyphenator
|
||||
from calibre.ebooks.conversion.preprocess import DocAnalysis, Dehyphenator
|
||||
from calibre.utils.logging import default_log
|
||||
|
||||
class PreProcessor(object):
|
||||
@ -77,13 +77,18 @@ class PreProcessor(object):
|
||||
|
||||
def __call__(self, html):
|
||||
self.log("********* Preprocessing HTML *********")
|
||||
|
||||
# Arrange line feeds and </p> tags so the line_length and no_markup functions work correctly
|
||||
html = re.sub(r"\s*</p>", "</p>\n", html)
|
||||
html = re.sub(r"\s*<p>\s*", "\n<p>", html)
|
||||
|
||||
###### Check Markup ######
|
||||
#
|
||||
# some lit files don't have any <p> tags or equivalent (generally just plain text between
|
||||
# <pre> tags), check and mark up line endings if required before proceeding
|
||||
if self.no_markup(html, 0.1):
|
||||
self.log("not enough paragraph markers, adding now")
|
||||
# check if content is in pre tags, use txt procesor to mark up if so
|
||||
# check if content is in pre tags, use txt processor to mark up if so
|
||||
pre = re.compile(r'<pre>', re.IGNORECASE)
|
||||
if len(pre.findall(html)) == 1:
|
||||
self.log("Running Text Processing")
|
||||
@ -113,47 +118,77 @@ class PreProcessor(object):
|
||||
# Get rid of empty <o:p> tags to simplify other processing
|
||||
html = re.sub(ur'\s*<o:p>\s*</o:p>', ' ', html)
|
||||
# Get rid of empty span, bold, & italics tags
|
||||
html = re.sub(r"\s*<span[^>]*>\s*(<span[^>]>\s*</span>){0,2}\s*</span>\s*", " ", html)
|
||||
html = re.sub(r"\s*<span[^>]*>\s*(<span[^>]*>\s*</span>){0,2}\s*</span>\s*", " ", html)
|
||||
html = re.sub(r"\s*<[ibu][^>]*>\s*(<[ibu][^>]*>\s*</[ibu]>\s*){0,2}\s*</[ibu]>", " ", html)
|
||||
html = re.sub(r"\s*<span[^>]*>\s*(<span[^>]>\s*</span>){0,2}\s*</span>\s*", " ", html)
|
||||
|
||||
# If more than 40% of the lines are empty paragraphs then delete them to clean up spacing
|
||||
# If more than 40% of the lines are empty paragraphs and the user has enabled remove
|
||||
# paragraph spacing then delete blank lines to clean up spacing
|
||||
linereg = re.compile('(?<=<p).*?(?=</p>)', re.IGNORECASE|re.DOTALL)
|
||||
blankreg = re.compile(r'\s*(?P<openline><p[^>]*>)\s*(?P<closeline></p>)', re.IGNORECASE)
|
||||
#multi_blank = re.compile(r'(\s*<p[^>]*>\s*(<(b|i|u)>)?\s*(</(b|i|u)>)?\s*</p>){2,}', re.IGNORECASE)
|
||||
blanklines = blankreg.findall(html)
|
||||
lines = linereg.findall(html)
|
||||
blanks_between_paragraphs = False
|
||||
if len(lines) > 1:
|
||||
self.log("There are " + str(len(blanklines)) + " blank lines. " + str(float(len(blanklines)) / float(len(lines))) + " percent blank")
|
||||
if float(len(blanklines)) / float(len(lines)) > 0.40 and getattr(self.extra_opts,
|
||||
'remove_paragraph_spacing', False):
|
||||
self.log("deleting blank lines")
|
||||
html = blankreg.sub('', html)
|
||||
# Arrange line feeds and </p> tags so the line_length and no_markup functions work correctly
|
||||
html = re.sub(r"\s*</p>", "</p>\n", html)
|
||||
html = re.sub(r"\s*<p>\s*", "\n<p>", html)
|
||||
elif float(len(blanklines)) / float(len(lines)) > 0.40:
|
||||
blanks_between_paragraphs = True
|
||||
#print "blanks between paragraphs is marked True"
|
||||
else:
|
||||
blanks_between_paragraphs = False
|
||||
#self.log("\n\n\n\n\n\n\n\n\n\n\n"+html+"\n\n\n\n\n\n\n\n\n\n\n\n\n")
|
||||
# detect chapters/sections to match xpath or splitting logic
|
||||
#
|
||||
# Build the Regular Expressions in pieces
|
||||
lookahead = "(?=<(p|div))"
|
||||
chapter_line_open = "<(?P<outer>p|div)[^>]*>\s*(<(?P<inner1>font|span|[ibu])[^>]*>)?\s*(<(?P<inner2>font|span|[ibu])[^>]*>)?\s*(<(?P<inner3>font|span|[ibu])[^>]*>)?\s*"
|
||||
chapter_header_open = r"(?P<chap>"
|
||||
chapter_header_close = ")\s*"
|
||||
chapter_line_close = "(</(?P=inner3)>)?\s*(</(?P=inner2)>)?\s*(</(?P=inner1)\s[^>]*>)?\s*</(?P=outer)>\s*"
|
||||
if blanks_between_paragraphs:
|
||||
blank_lines = "(\s*<p[^>]*>\s*</p>){0,2}\s*"
|
||||
else:
|
||||
blank_lines = ""
|
||||
opt_title_open = "("
|
||||
title_line_open = "<(?P<outer2>p|div)[^>]*>\s*(<(?P<inner4>font|span|[ibu])[^>]*>)?\s*(<(?P<inner5>font|span|[ibu])[^>]*>)?\s*(<(?P<inner6>font|span|[ibu])[^>]*>)?\s*"
|
||||
title_header_open = "(?P<title>"
|
||||
title_header_close = ")\s*"
|
||||
title_line_close = "(</(?P=inner6)>)?\s*(</(?P=inner5)>)?\s*(</(?P=inner4)\s[^>]*>)?\s*</(?P=outer2)>"
|
||||
opt_title_close = ")?"
|
||||
|
||||
default_title = r"(\s*[\w\'\"-]+){1,5}(?!<)"
|
||||
typical_chapters = r".?(Introduction|Synopsis|Acknowledgements|Chapter|Kapitel|Epilogue|Volume\s|Prologue|Book\s|Part\s|Dedication)\s*([\d\w-]+\:?\s*){0,4}"
|
||||
numeric_chapters = r".?(\d+\.?|(CHAPTER\s*([\dA-Z\-\'\"\?\.!#,]+\s*){1,10}))\s*"
|
||||
uppercase_chapters = r"\s*.?([A-Z#]+(\s|-){0,3}){1,5}\s*"
|
||||
|
||||
chapter_marker = lookahead+chapter_line_open+chapter_header_open+typical_chapters+chapter_header_close+chapter_line_close+blank_lines+opt_title_open+title_line_open+title_header_open+default_title+title_header_close+title_line_close+opt_title_close
|
||||
#print chapter_marker
|
||||
heading = re.compile('<h[1-3][^>]*>', re.IGNORECASE)
|
||||
self.html_preprocess_sections = len(heading.findall(html))
|
||||
self.log("found " + str(self.html_preprocess_sections) + " pre-existing headings")
|
||||
#
|
||||
# Start with most typical chapter headings, get more aggressive until one works
|
||||
if self.html_preprocess_sections < 10:
|
||||
chapdetect = re.compile(r'(?=</?(br|p))(<(/?br|p)[^>]*>)\s*(<[ibu][^>]*>){0,2}\s*(<span[^>]*>)?\s*(<[ibu][^>]*>){0,2}\s*(<span[^>]*>)?\s*(?P<chap>(<[ibu][^>]*>){0,2}\s*.?(Introduction|Synopsis|Acknowledgements|Chapter|Epilogue|Volume|Prologue|Book\s|Part\s|Dedication)\s*([\d\w-]+\:?\s*){0,8}\s*(</[ibu]>){0,2})\s*(</span>)?s*(</[ibu]>){0,2}\s*(</span>)?\s*(</(p|/?br)>)\s*\s*(\s*<p[^>]*>\s*</p>){0,2}\s*(<(/?br|p)[^>]*>\s*(<[ibu][^>]*>){0,2}\s*(<span[^>]*>)?\s*(?P<title>(<[ibu][^>]*>){0,2}(\s*[\w\'\"-]+){1,5}\s*(</[ibu]>){0,2})\s*(</span>)?\s*(</[ibu]>){0,2}\s*(</(br|p)>))?', re.IGNORECASE|re.VERBOSE)
|
||||
chapdetect = re.compile(r'%s' % chapter_marker, re.IGNORECASE)
|
||||
html = chapdetect.sub(self.chapter_head, html)
|
||||
if self.html_preprocess_sections < 10:
|
||||
self.log("not enough chapters, only " + str(self.html_preprocess_sections) + ", trying numeric chapters")
|
||||
chapdetect2 = re.compile(r'(?=</?(br|p))(<(/?br|p)[^>]*>)\s*(<[ibu][^>]*>){0,2}\s*(<span[^>]*>)?\s*(?P<chap>(<[ibu][^>]*>){0,2}\s*.?(\d+\.?|(CHAPTER\s*([\dA-Z\-\'\"\?\.!#,]+\s*){1,10}))\s*(</[ibu]>){0,2})\s*(</span>)?\s*(</[ibu]>){0,2}\s*(</(p|/?br)>)\s*(<(/?br|p)[^>]*>\s*(<[ibu][^>]*>){0,2}\s*(<span[^>]*>)?\s*(?P<title>(<[ibu][^>]*>){0,2}(\s*[\w\'\"-]+){1,5}\s*(</[ibu]>){0,2})\s*(</span>)?\s*(</[ibu]>){0,2}\s*(</(br|p)>))?', re.UNICODE)
|
||||
chapter_marker = lookahead+chapter_line_open+chapter_header_open+numeric_chapters+chapter_header_close+chapter_line_close+blank_lines+opt_title_open+title_line_open+title_header_open+default_title+title_header_close+title_line_close+opt_title_close
|
||||
chapdetect2 = re.compile(r'%s' % chapter_marker, re.IGNORECASE)
|
||||
html = chapdetect2.sub(self.chapter_head, html)
|
||||
|
||||
if self.html_preprocess_sections < 10:
|
||||
self.log("not enough chapters, only " + str(self.html_preprocess_sections) + ", trying with uppercase words")
|
||||
chapdetect2 = re.compile(r'(?=</?(br|p))(<(/?br|p)[^>]*>)\s*(<[ibu][^>]*>){0,2}\s*(<span[^>]*>)?\s*(?P<chap>(<[ibu][^>]*>){0,2}\s*.?([A-Z#\-\s]+)\s*(</[ibu]>){0,2})\s*(</span>)?\s*(</[ibu]>){0,2}\s*(</(p|/?br)>)\s*(<(/?br|p)[^>]*>\s*(<[ibu][^>]*>){0,2}\s*(<span[^>]*>)?\s*(?P<title>(<[ibu][^>]*>){0,2}(\s*[\w\'\"-]+){1,5}\s*(</[ibu]>){0,2})\s*(</span>)?\s*(</[ibu]>){0,2}\s*(</(br|p)>))?', re.UNICODE)
|
||||
chapter_marker = lookahead+chapter_line_open+chapter_header_open+uppercase_chapters+chapter_header_close+chapter_line_close+blank_lines+opt_title_open+title_line_open+title_header_open+default_title+title_header_close+title_line_close+opt_title_close
|
||||
chapdetect2 = re.compile(r'%s' % chapter_marker, re.UNICODE)
|
||||
html = chapdetect2.sub(self.chapter_head, html)
|
||||
|
||||
###### Unwrap lines ######
|
||||
#
|
||||
self.log("Unwrapping Lines")
|
||||
# Some OCR sourced files have line breaks in the html using a combination of span & p tags
|
||||
# span are used for hard line breaks, p for new paragraphs. Determine which is used so
|
||||
# that lines can be un-wrapped across page boundaries
|
||||
@ -168,25 +203,40 @@ class PreProcessor(object):
|
||||
format = 'html'
|
||||
else:
|
||||
format = 'html'
|
||||
|
||||
# Check Line histogram to determine if the document uses hard line breaks, If 50% or
|
||||
# more of the lines break in the same region of the document then unwrapping is required
|
||||
docanalysis = DocAnalysis(format, html)
|
||||
hardbreaks = docanalysis.line_histogram(.50)
|
||||
self.log("Hard line breaks check returned "+str(hardbreaks))
|
||||
# Calculate Length
|
||||
length = line_length(format, html, getattr(self.extra_opts,
|
||||
'html_unwrap_factor', 0.4))
|
||||
unwrap_factor = getattr(self.extra_opts, 'html_unwrap_factor', 0.4)
|
||||
length = docanalysis.line_length(unwrap_factor)
|
||||
self.log("*** Median line length is " + str(length) + ", calculated with " + format + " format ***")
|
||||
max_length = length * 1.4
|
||||
min_max = str("(?<=.{"+str(length)+"})(?<!.{"+str(max_length)+"})")
|
||||
#
|
||||
# Unwrap em/en dashes, delete soft-hyphens
|
||||
#self.log("\n\n\n\n\n\n\n\n\n\n\n"+html+"\n\n\n\n\n\n\n\n\n\n\n\n\n")
|
||||
html = re.sub(u'\xad\s*(</span>\s*(</[iubp]>\s*<[iubp][^>]*>\s*)?<span[^>]*>|</[iubp]>\s*<[iubp][^>]*>)?\s*', '', html)
|
||||
html = re.sub(u'%s(?<=[\u2013\u2014])\s*(?=<)(</span>\s*(</[iubp]>\s*<[iubp][^>]*>\s*)?<span[^>]*>|</[iubp]>\s*<[iubp][^>]*>)?\s*(?=[[a-z\d])' % min_max, '', html)
|
||||
# Dehyphenate
|
||||
dehyphenator = Dehyphenator()
|
||||
html = dehyphenator(html,'html', length)
|
||||
# only go through unwrapping code if the histogram shows unwrapping is required or if the user decreased the default unwrap_factor
|
||||
if hardbreaks or unwrap_factor < 0.4:
|
||||
self.log("Unwrapping required, unwrapping Lines")
|
||||
# Unwrap em/en dashes
|
||||
html = re.sub(u'(?<=.{%i}[\u2013\u2014])\s*(?=<)(</span>\s*(</[iubp]>\s*<[iubp][^>]*>\s*)?<span[^>]*>|</[iubp]>\s*<[iubp][^>]*>)?\s*(?=[[a-z\d])' % length, '', html)
|
||||
# Dehyphenate
|
||||
self.log("Unwrapping/Removing hyphens")
|
||||
dehyphenator = Dehyphenator()
|
||||
html = dehyphenator(html,'html', length)
|
||||
self.log("Done dehyphenating")
|
||||
# Unwrap lines using punctation and line length
|
||||
unwrap = re.compile(u"(?<=.{%i}([a-z,:)\IA\u00DF]|(?<!\&\w{4});))\s*</(span|p|div)>\s*(</(p|span|div)>)?\s*(?P<up2threeblanks><(p|span|div)[^>]*>\s*(<(p|span|div)[^>]*>\s*</(span|p|div)>\s*)</(span|p|div)>\s*){0,3}\s*<(span|div|p)[^>]*>\s*(<(span|div|p)[^>]*>)?\s*" % length, re.UNICODE)
|
||||
html = unwrap.sub(' ', html)
|
||||
#check any remaining hyphens, but only unwrap if there is a match
|
||||
dehyphenator = Dehyphenator()
|
||||
html = dehyphenator(html,'html_cleanup', length)
|
||||
else:
|
||||
# dehyphenate in cleanup mode to fix anything previous conversions/editing missed
|
||||
self.log("Cleaning up hyphenation")
|
||||
dehyphenator = Dehyphenator()
|
||||
html = dehyphenator(html,'html_cleanup', length)
|
||||
self.log("Done dehyphenating")
|
||||
|
||||
# Unwrap lines using punctation and line length
|
||||
unwrap = re.compile(r"(?<=.{%i}([a-z,;):\IA]|(?<!\&\w{4});))\s*</(span|p|div)>\s*(</(p|span|div)>)?\s*(?P<up2threeblanks><(p|span|div)[^>]*>\s*(<(p|span|div)[^>]*>\s*</(span|p|div)>\s*)</(span|p|div)>\s*){0,3}\s*<(span|div|p)[^>]*>\s*(<(span|div|p)[^>]*>)?\s*" % length, re.UNICODE)
|
||||
html = unwrap.sub(' ', html)
|
||||
# delete soft hyphens
|
||||
html = re.sub(u'\xad\s*(</span>\s*(</[iubp]>\s*<[iubp][^>]*>\s*)?<span[^>]*>|</[iubp]>\s*<[iubp][^>]*>)?\s*', '', html)
|
||||
|
||||
# If still no sections after unwrapping mark split points on lines with no punctuation
|
||||
if self.html_preprocess_sections < 10:
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user