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Restructure TXT input processing to apply paragraph transformations when specified or detected with auto no matter the formatting type specified or detected.

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This commit is contained in:
John Schember 2011-02-04 19:10:53 -05:00
parent 1b5e0e4a8e
commit 746ca10ae5
1 changed files with 28 additions and 21 deletions
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49
src/calibre/ebooks/txt/input.py
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@ -57,6 +57,7 @@ class TXTInput(InputFormatPlugin):
log.debug('Reading text from file...')
txt = stream.read()
# Get the encoding of the document.
if options.input_encoding:
ienc = options.input_encoding
@ -70,13 +71,16 @@ class TXTInput(InputFormatPlugin):
log.debug('No input encoding specified and could not auto detect using %s' % ienc)
txt = txt.decode(ienc, 'replace')
# Replace entities
txt = _ent_pat.sub(xml_entity_to_unicode, txt)
# Normalize line endings
txt = normalize_line_endings(txt)
# Detect formatting
if options.formatting_type == 'auto':
options.formatting_type = detect_formatting_type(txt)
log.debug('Auto detected formatting as %s' % options.formatting_type)
if options.formatting_type == 'heuristic':
setattr(options, 'enable_heuristics', True)
@ -105,41 +109,43 @@ class TXTInput(InputFormatPlugin):
docanalysis = DocAnalysis('txt', txt)
length = docanalysis.line_length(.5)
# Reformat paragraphs to block formatting based on the detected type.
# We don't check for block because the processor assumes block.
# single and print at transformed to block for processing.
if options.paragraph_type == 'single' or options.paragraph_type == 'unformatted':
txt = separate_paragraphs_single_line(txt)
elif options.paragraph_type == 'print':
txt = separate_paragraphs_print_formatted(txt)
elif options.paragraph_type == 'unformatted':
from calibre.ebooks.conversion.utils import HeuristicProcessor
# unwrap lines based on punctuation
preprocessor = HeuristicProcessor(options, log=getattr(self, 'log', None))
txt = preprocessor.punctuation_unwrap(length, txt, 'txt')
# Process the text using the appropriate text processor.
html = ''
if options.formatting_type == 'markdown':
log.debug('Running text though markdown conversion...')
log.debug('Running text through markdown conversion...')
try:
html = convert_markdown(txt, disable_toc=options.markdown_disable_toc)
except RuntimeError:
raise ValueError('This txt file has malformed markup, it cannot be'
' converted by calibre. See http://daringfireball.net/projects/markdown/syntax')
elif options.formatting_type == 'textile':
log.debug('Running text though textile conversion...')
log.debug('Running text through textile conversion...')
html = convert_textile(txt)
else:
# Dehyphenate
dehyphenator = Dehyphenator(options.verbose, log=self.log)
txt = dehyphenator(txt,'txt', length)
# We don't check for block because the processor assumes block.
# single and print at transformed to block for processing.
if options.paragraph_type == 'single' or options.paragraph_type == 'unformatted':
txt = separate_paragraphs_single_line(txt)
elif options.paragraph_type == 'print':
txt = separate_paragraphs_print_formatted(txt)
if options.paragraph_type == 'unformatted':
from calibre.ebooks.conversion.utils import HeuristicProcessor
# get length
# unwrap lines based on punctuation
preprocessor = HeuristicProcessor(options, log=getattr(self, 'log', None))
txt = preprocessor.punctuation_unwrap(length, txt, 'txt')
log.debug('Running text through basic conversion...')
if options.formatting_type == 'heuristic':
# Dehyphenate
dehyphenator = Dehyphenator(options.verbose, log=self.log)
txt = dehyphenator(txt,'txt', length)
flow_size = getattr(options, 'flow_size', 0)
html = convert_basic(txt, epub_split_size_kb=flow_size)
# Run the HTMLized text through the html processing plugin.
from calibre.customize.ui import plugin_for_input_format
html_input = plugin_for_input_format('html')
for opt in html_input.options:
@ -158,6 +164,7 @@ class TXTInput(InputFormatPlugin):
htmlfile.write(html.encode('utf-8'))
odi = options.debug_pipeline
options.debug_pipeline = None
# Generate oeb from htl conversion.
oeb = html_input.convert(open(htmlfile.name, 'rb'), options, 'html', log,
{})
options.debug_pipeline = odi