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Kovid Goyal
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@ -1,8 +1,37 @@
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from __future__ import with_statement
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from __future__ import with_statement
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__license__ = 'GPL v3'
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__license__ = 'GPL v3'
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__copyright__ = '2008, Kovid Goyal kovid@kovidgoyal.net'
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__copyright__ = '2008, Kovid Goyal kovid@kovidgoyal.net'
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__docformat__ = 'restructuredtext en'
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__docformat__ = 'restructuredtext en'
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'''
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Conversion of HTML/OPF files follows several stages:
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* All links in the HTML files or in the OPF manifest are
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followed to build up a list of HTML files to be converted.
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This stage is implemented by
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:function:`calibre.ebooks.html.traverse` and
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:class:`calibre.ebooks.html.HTMLFile`.
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* The HTML is pre-processed to make it more semantic.
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All links in the HTML files to other resources like images,
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stylesheets, etc. are relativized. The resources are copied
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into the `resources` sub directory. This is accomplished by
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:class:`calibre.ebooks.html.PreProcessor` and
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:class:`calibre.ebooks.html.Parser`.
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* The HTML is processed. Various operations are performed.
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All style declarations are extracted and consolidated into
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a single style sheet. Chapters are auto-detected and marked.
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Various font related manipulations are performed. See
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:class:`HTMLProcessor`.
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* The processed HTML is saved and the
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:module:`calibre.ebooks.epub.split` module is used to split up
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large HTML files into smaller chunks.
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* The EPUB container is created.
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'''
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import os, sys, re, cStringIO
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import os, sys, re, cStringIO
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from lxml.etree import XPath
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from lxml.etree import XPath
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@ -463,6 +463,9 @@ class Processor(Parser):
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return Parser.save(self)
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return Parser.save(self)
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def populate_toc(self, toc):
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def populate_toc(self, toc):
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'''
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Populate the Table of Contents from detected chapters and links.
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'''
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def add_item(href, fragment, text, target, type='link'):
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def add_item(href, fragment, text, target, type='link'):
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for entry in toc.flat():
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for entry in toc.flat():
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@ -17,11 +17,41 @@ E-book Format Conversion
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What formats does |app| support conversion to/from?
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What formats does |app| support conversion to/from?
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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|app| supports the conversion of the following formats to LRF: HTML, LIT, MOBI, PRC, EPUB, CBR, CBZ, RTF, TXT, PDF and LRS. It also supports the conversion of LRF to LRS and HTML(forthcoming). Note that calibre does not support the conversion of DRMed ebooks.
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|app| supports the conversion of the following formats:
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What are the best formats to convert to LRF?
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+----------------------------+------------------------------------------+
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| | **Output formats** |
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| +------------------+-----------------------+
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| | EPUB | LRF |
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+===================+========+==================+=======================+
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| | MOBI | ✔ | ✔ |
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| | LIT | ✔ | ✔ |
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| | PRC | ✔ | ✔ |
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| | EPUB | ✔ | ✔ |
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| | HTML | ✔ | ✔ |
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| **Input formats** | CBR | ✔ | ✔ |
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| | CBZ | ✔ | ✔ |
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| | RTF | ✔ | ✔ |
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| | TXT | ✔ | ✔ |
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| | PDF | ✔ | ✔ |
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| | LRS | | ✔ |
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+-------------------+--------+------------------+-----------------------+
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What are the best source formats to convert?
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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In order of decreasing preference: LIT, MOBI, HTML, PRC, RTF, TXT, PDF
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In order of decreasing preference: LIT, MOBI, EPUB, HTML, PRC, RTF, TXT, PDF
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Why does the PDF conversion lose some images/tables?
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Why does the PDF conversion lose some images/tables?
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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33
src/calibre/web/feeds/recipes/discover_magazine.py
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src/calibre/web/feeds/recipes/discover_magazine.py
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#!/usr/bin/env python
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__license__ = 'GPL v3'
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__copyright__ = '2008, Kovid Goyal kovid@kovidgoyal.net'
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__docformat__ = 'restructuredtext en'
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'''
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doscovermagazine.com
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'''
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from calibre.web.feeds.news import BasicNewsRecipe
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class DiscoverMagazine(BasicNewsRecipe):
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title = u'Discover Magazine'
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description = u'Science, Technology and the Future'
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__author__ = 'Mike Diaz'
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oldest_article = 33
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max_articles_per_feed = 20
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feeds = [
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(u'Technology', u'http://discovermagazine.com/topics/technology/rss.xml'),
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(u'Health - Medicine', u'http://discovermagazine.com/topics/health-medicine/rss.xml'),
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(u'Mind Brain', u'http://discovermagazine.com/topics/mind-brain/rss.xml'),
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(u'Space', u'http://discovermagazine.com/topics/space/rss.xml'),
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(u'Human Origins', u'http://discovermagazine.com/topics/human-origins/rss.xml'),
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(u'Living World', u'http://discovermagazine.com/topics/living-world/rss.xml'),
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(u'Environment', u'http://discovermagazine.com/topics/environment/rss.xml'),
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(u'Physics & Math', u'http://discovermagazine.com/topics/physics-math/rss.xml'),
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(u'Vital Signs', u'http://discovermagazine.com/columns/vital-signs/rss.xml'),
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(u"20 Things you didn't know about...", u'http://discovermagazine.com/columns/20-things-you-didnt-know/rss.xml'),
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(u'Fuzzy Math', u'http://discovermagazine.com/columns/fuzzy-math/rss.xml'),
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(u'The Brain', u'http://discovermagazine.com/columns/the-brain/rss.xml'),
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(u'Stupid Science Word of the Month', u'http://discovermagazine.com/columns/stupid-science-word-of-the-month/rss.xml'),
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(u'Science Not Fiction', u'http://blogs.discovermagazine.com/sciencenotfiction/wp-rss.php')
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]
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38
src/calibre/web/feeds/recipes/scientific_american.py
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src/calibre/web/feeds/recipes/scientific_american.py
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#!/usr/bin/env python
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__license__ = 'GPL v3'
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__copyright__ = '2008, Kovid Goyal kovid@kovidgoyal.net'
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__docformat__ = 'restructuredtext en'
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'''
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sciam.com
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'''
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from calibre.web.feeds.news import BasicNewsRecipe
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class ScientificAmerican(BasicNewsRecipe):
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title = u'Scientific American'
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description = u'Popular science'
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__author__ = 'Kovid Goyal'
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oldest_article = 30
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max_articles_per_feed = 100
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use_embedded_content = False
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remove_tags_before = dict(name='div', attrs={'class':'headline'})
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remove_tags_after = dict(id='article')
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remove_tags = [dict(id='sharetools'), dict(id='reddit')]
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html2lrf_options = ['--base-font-size', '8']
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feeds = [
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(u'Latest News', u'http://rss.sciam.com/ScientificAmerican-News'),
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(u'Global', u'http://rss.sciam.com/ScientificAmerican-Global'),
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(u'Health', u'http://rss.sciam.com/sciam/health'),
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(u'Space', u'http://rss.sciam.com/sciam/space'),
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(u'Technology', u'http://rss.sciam.com/sciam/technology'),
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(u'Biology', u'http://rss.sciam.com/sciam/biology'),
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(u'Mind & Brain', u'http://rss.sciam.com/sciam/mind-and-brain'),
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(u"What's Next", u'http://rss.sciam.com/sciam/whats-next'),
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(u'Archeology and Paleontology', u'http://www.sciam.com/page.cfm?section=rsscategory&alias=archaeology-and-paleontology'),
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(u'Physics', u'http://www.sciam.com/page.cfm?section=rsscategory&alias=physics'),
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(u'Math', u'http://rss.sciam.com/sciam/math'),
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(u'History of Science', u'http://www.sciam.com/page.cfm?section=rsscategory&alias=history-of-science'),
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(u'Chemistry', u'http://rss.sciam.com/sciam/chemistry'),
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(u'Mind Matters', u'http://rss.sciam.com/ScientificAmerican-MindBlog')
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]
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