def decode_arcname(name):
if isinstance(name, bytes):
from calibre.ebooks.chardet import detect
try:
name = name.decode('utf-8')
except:
res = detect(name)
encoding = res['encoding']
try:
name = name.decode(encoding)
except:
name = name.decode('utf-8', 'replace')
return name
def decode_arcname(name):
if isinstance(name, bytes):
from calibre.ebooks.chardet import detect
try:
name = name.decode('utf-8')
except:
res = detect(name)
encoding = res['encoding']
try:
name = name.decode(encoding)
except:
name = name.decode('utf-8', 'replace')
return name
def get_encoding(page):
text = re.sub('</?[^>]*>\s*', ' ', page)
enc = 'utf-8'
if not text.strip() or len(text) < 10:
return enc # can't guess
try:
diff = text.decode(enc, 'ignore').encode(enc)
sizes = len(diff), len(text)
if abs(len(text) - len(diff)) < max(sizes) * 0.01: # 99% of utf-8
return enc
except UnicodeDecodeError:
pass
res = chardet.detect(text)
enc = res['encoding']
#print '->', enc, "%.2f" % res['confidence']
if enc == 'MacCyrillic':
enc = 'cp1251'
return enc
def convert(self, stream, options, file_ext, log, accelerators):
from calibre.ebooks.conversion.preprocess import DocAnalysis, Dehyphenator
from calibre.ebooks.chardet import detect
from calibre.utils.zipfile import ZipFile
from calibre.ebooks.txt.processor import (
convert_basic, convert_markdown_with_metadata,
separate_paragraphs_single_line,
separate_paragraphs_print_formatted, preserve_spaces,
detect_paragraph_type, detect_formatting_type,
normalize_line_endings, convert_textile, remove_indents,
block_to_single_line, separate_hard_scene_breaks)
self.log = log
txt = ''
log.debug('Reading text from file...')
length = 0
# Extract content from zip archive.
if file_ext == 'txtz':
zf = ZipFile(stream)
zf.extractall('.')
for x in walk('.'):
if os.path.splitext(x)[1].lower() in ('.txt', '.text'):
with open(x, 'rb') as tf:
txt += tf.read() + '\n\n'
else:
txt = stream.read()
if file_ext in {'md', 'textile', 'markdown'}:
options.formatting_type = {
'md': 'markdown'
}.get(file_ext, file_ext)
log.info('File extension indicates particular formatting. '
'Forcing formatting type to: %s' %
options.formatting_type)
options.paragraph_type = 'off'
# Get the encoding of the document.
if options.input_encoding:
ienc = options.input_encoding
log.debug('Using user specified input encoding of %s' % ienc)
else:
det_encoding = detect(txt)
det_encoding, confidence = det_encoding['encoding'], det_encoding[
'confidence']
if det_encoding and det_encoding.lower().replace(
'_',
'-').strip() in ('gb2312', 'chinese', 'csiso58gb231280',
'euc-cn', 'euccn', 'eucgb2312-cn',
'gb2312-1980', 'gb2312-80', 'iso-ir-58'):
# Microsoft Word exports to HTML with encoding incorrectly set to
# gb2312 instead of gbk. gbk is a superset of gb2312, anyway.
det_encoding = 'gbk'
ienc = det_encoding
log.debug(
'Detected input encoding as %s with a confidence of %s%%' %
(ienc, confidence * 100))
if not ienc:
ienc = 'utf-8'
log.debug(
'No input encoding specified and could not auto detect using %s'
% ienc)
# Remove BOM from start of txt as its presence can confuse markdown
import codecs
for bom in (codecs.BOM_UTF16_LE, codecs.BOM_UTF16_BE, codecs.BOM_UTF8,
codecs.BOM_UTF32_LE, codecs.BOM_UTF32_BE):
if txt.startswith(bom):
txt = txt[len(bom):]
break
txt = txt.decode(ienc, 'replace')
# Replace entities
txt = _ent_pat.sub(xml_entity_to_unicode, txt)
# Normalize line endings
txt = normalize_line_endings(txt)
# Determine the paragraph type of the document.
if options.paragraph_type == 'auto':
options.paragraph_type = detect_paragraph_type(txt)
if options.paragraph_type == 'unknown':
log.debug(
'Could not reliably determine paragraph type using block')
options.paragraph_type = 'block'
else:
log.debug('Auto detected paragraph type as %s' %
options.paragraph_type)
# 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)
setattr(options, 'unwrap_lines', False)
setattr(options, 'smarten_punctuation', True)
# 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':
txt = separate_paragraphs_single_line(txt)
elif options.paragraph_type == 'print':
txt = separate_hard_scene_breaks(txt)
txt = separate_paragraphs_print_formatted(txt)
txt = block_to_single_line(txt)
elif options.paragraph_type == 'unformatted':
from calibre.ebooks.conversion.utils import HeuristicProcessor
# unwrap lines based on punctuation
docanalysis = DocAnalysis('txt', txt)
length = docanalysis.line_length(.5)
preprocessor = HeuristicProcessor(options,
log=getattr(self, 'log', None))
txt = preprocessor.punctuation_unwrap(length, txt, 'txt')
txt = separate_paragraphs_single_line(txt)
elif options.paragraph_type == 'block':
txt = separate_hard_scene_breaks(txt)
txt = block_to_single_line(txt)
if getattr(options, 'enable_heuristics', False) and getattr(
options, 'dehyphenate', False):
docanalysis = DocAnalysis('txt', txt)
if not length:
length = docanalysis.line_length(.5)
dehyphenator = Dehyphenator(options.verbose, log=self.log)
txt = dehyphenator(txt, 'txt', length)
# User requested transformation on the text.
if options.txt_in_remove_indents:
txt = remove_indents(txt)
# Preserve spaces will replace multiple spaces to a space
# followed by the entity.
if options.preserve_spaces:
txt = preserve_spaces(txt)
# Process the text using the appropriate text processor.
html = ''
input_mi = None
if options.formatting_type == 'markdown':
log.debug('Running text through markdown conversion...')
try:
input_mi, html = convert_markdown_with_metadata(
txt,
extensions=[
x.strip()
for x in options.markdown_extensions.split(',')
if x.strip()
])
except RuntimeError:
raise ValueError(
'This txt file has malformed markup, it cannot be'
' converted by calibre. See https://daringfireball.net/projects/markdown/syntax'
)
elif options.formatting_type == 'textile':
log.debug('Running text through textile conversion...')
html = convert_textile(txt)
else:
log.debug('Running text through basic conversion...')
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:
setattr(options, opt.option.name, opt.recommended_value)
options.input_encoding = 'utf-8'
base = os.getcwdu()
if file_ext != 'txtz' and hasattr(stream, 'name'):
base = os.path.dirname(stream.name)
fname = os.path.join(base, 'index.html')
c = 0
while os.path.exists(fname):
c += 1
fname = 'index%d.html' % c
htmlfile = open(fname, 'wb')
with htmlfile:
htmlfile.write(html.encode('utf-8'))
odi = options.debug_pipeline
options.debug_pipeline = None
# Generate oeb from html conversion.
oeb = html_input.convert(open(htmlfile.name, 'rb'), options, 'html',
log, {})
options.debug_pipeline = odi
os.remove(htmlfile.name)
# Set metadata from file.
if input_mi is None:
from calibre.customize.ui import get_file_type_metadata
input_mi = get_file_type_metadata(stream, file_ext)
from calibre.ebooks.oeb.transforms.metadata import meta_info_to_oeb_metadata
meta_info_to_oeb_metadata(input_mi, oeb.metadata, log)
self.html_postprocess_title = input_mi.title
return oeb
def apparent_encoding(self):
"""The apparent encoding, provided by the chardet library."""
return chardet.detect(self.content)['encoding']
def convert(self, stream, options, file_ext, log,
accelerators):
from calibre.ebooks.conversion.preprocess import DocAnalysis, Dehyphenator
from calibre.ebooks.chardet import detect
from calibre.utils.zipfile import ZipFile
from calibre.ebooks.txt.processor import (convert_basic,
convert_markdown_with_metadata, separate_paragraphs_single_line,
separate_paragraphs_print_formatted, preserve_spaces,
detect_paragraph_type, detect_formatting_type,
normalize_line_endings, convert_textile, remove_indents,
block_to_single_line, separate_hard_scene_breaks)
self.log = log
txt = ''
log.debug('Reading text from file...')
length = 0
# Extract content from zip archive.
if file_ext == 'txtz':
zf = ZipFile(stream)
zf.extractall('.')
for x in walk('.'):
if os.path.splitext(x)[1].lower() in ('.txt', '.text'):
with open(x, 'rb') as tf:
txt += tf.read() + '\n\n'
else:
txt = stream.read()
if file_ext in {'md', 'textile', 'markdown'}:
options.formatting_type = {'md': 'markdown'}.get(file_ext, file_ext)
log.info('File extension indicates particular formatting. '
'Forcing formatting type to: %s'%options.formatting_type)
options.paragraph_type = 'off'
# Get the encoding of the document.
if options.input_encoding:
ienc = options.input_encoding
log.debug('Using user specified input encoding of %s' % ienc)
else:
det_encoding = detect(txt[:4096])
det_encoding, confidence = det_encoding['encoding'], det_encoding['confidence']
if det_encoding and det_encoding.lower().replace('_', '-').strip() in (
'gb2312', 'chinese', 'csiso58gb231280', 'euc-cn', 'euccn',
'eucgb2312-cn', 'gb2312-1980', 'gb2312-80', 'iso-ir-58'):
# Microsoft Word exports to HTML with encoding incorrectly set to
# gb2312 instead of gbk. gbk is a superset of gb2312, anyway.
det_encoding = 'gbk'
ienc = det_encoding
log.debug('Detected input encoding as %s with a confidence of %s%%' % (ienc, confidence * 100))
if not ienc:
ienc = 'utf-8'
log.debug('No input encoding specified and could not auto detect using %s' % ienc)
# Remove BOM from start of txt as its presence can confuse markdown
import codecs
for bom in (codecs.BOM_UTF16_LE, codecs.BOM_UTF16_BE, codecs.BOM_UTF8, codecs.BOM_UTF32_LE, codecs.BOM_UTF32_BE):
if txt.startswith(bom):
txt = txt[len(bom):]
break
txt = txt.decode(ienc, 'replace')
# Replace entities
txt = _ent_pat.sub(xml_entity_to_unicode, txt)
# Normalize line endings
txt = normalize_line_endings(txt)
# Determine the paragraph type of the document.
if options.paragraph_type == 'auto':
options.paragraph_type = detect_paragraph_type(txt)
if options.paragraph_type == 'unknown':
log.debug('Could not reliably determine paragraph type using block')
options.paragraph_type = 'block'
else:
log.debug('Auto detected paragraph type as %s' % options.paragraph_type)
# 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)
setattr(options, 'unwrap_lines', False)
setattr(options, 'smarten_punctuation', True)
# 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':
txt = separate_paragraphs_single_line(txt)
elif options.paragraph_type == 'print':
txt = separate_hard_scene_breaks(txt)
txt = separate_paragraphs_print_formatted(txt)
txt = block_to_single_line(txt)
elif options.paragraph_type == 'unformatted':
from calibre.ebooks.conversion.utils import HeuristicProcessor
# unwrap lines based on punctuation
docanalysis = DocAnalysis('txt', txt)
length = docanalysis.line_length(.5)
preprocessor = HeuristicProcessor(options, log=getattr(self, 'log', None))
txt = preprocessor.punctuation_unwrap(length, txt, 'txt')
txt = separate_paragraphs_single_line(txt)
elif options.paragraph_type == 'block':
txt = separate_hard_scene_breaks(txt)
txt = block_to_single_line(txt)
if getattr(options, 'enable_heuristics', False) and getattr(options, 'dehyphenate', False):
docanalysis = DocAnalysis('txt', txt)
if not length:
length = docanalysis.line_length(.5)
dehyphenator = Dehyphenator(options.verbose, log=self.log)
txt = dehyphenator(txt,'txt', length)
# User requested transformation on the text.
if options.txt_in_remove_indents:
txt = remove_indents(txt)
# Preserve spaces will replace multiple spaces to a space
# followed by the entity.
if options.preserve_spaces:
txt = preserve_spaces(txt)
# Process the text using the appropriate text processor.
html = ''
input_mi = None
if options.formatting_type == 'markdown':
log.debug('Running text through markdown conversion...')
try:
input_mi, html = convert_markdown_with_metadata(txt, extensions=[x.strip() for x in options.markdown_extensions.split(',') if x.strip()])
except RuntimeError:
raise ValueError('This txt file has malformed markup, it cannot be'
' converted by calibre. See https://daringfireball.net/projects/markdown/syntax')
elif options.formatting_type == 'textile':
log.debug('Running text through textile conversion...')
html = convert_textile(txt)
else:
log.debug('Running text through basic conversion...')
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:
setattr(options, opt.option.name, opt.recommended_value)
options.input_encoding = 'utf-8'
base = os.getcwdu()
if file_ext != 'txtz' and hasattr(stream, 'name'):
base = os.path.dirname(stream.name)
fname = os.path.join(base, 'index.html')
c = 0
while os.path.exists(fname):
c += 1
fname = 'index%d.html'%c
htmlfile = open(fname, 'wb')
with htmlfile:
htmlfile.write(html.encode('utf-8'))
odi = options.debug_pipeline
options.debug_pipeline = None
# Generate oeb from html conversion.
oeb = html_input.convert(open(htmlfile.name, 'rb'), options, 'html', log,
{})
options.debug_pipeline = odi
os.remove(htmlfile.name)
# Set metadata from file.
if input_mi is None:
from calibre.customize.ui import get_file_type_metadata
input_mi = get_file_type_metadata(stream, file_ext)
from calibre.ebooks.oeb.transforms.metadata import meta_info_to_oeb_metadata
meta_info_to_oeb_metadata(input_mi, oeb.metadata, log)
self.html_postprocess_title = input_mi.title
return oeb