def get_meta(meta, name):
"""Retrieves the metadata variable `name` from the `meta` dict."""
assert name in meta
data = meta[name]
if data['t'] in ['MetaString', 'MetaBool']:
return data['c']
if data['t'] == 'MetaInlines':
# Handle bug in pandoc 2.2.3 and 2.2.3.1: Return boolean value rather
# than strings, as appropriate.
if len(data['c']) == 1 and data['c'][0]['t'] == 'Str':
if data['c'][0]['c'] in ['true', 'True', 'TRUE']:
return True
if data['c'][0]['c'] in ['false', 'False', 'FALSE']:
return False
return stringify(data['c'])
if data['t'] == 'MetaList':
try: # Process MetaList of MetaMaps
ret = []
for v in data['c']:
assert v['t'] == 'MetaMap'
entry = {}
for key in v['c']:
entry[key] = stringify(v['c'][key])
ret.append(entry)
return ret
except AssertionError:
pass
return [stringify(v['c']) for v in data['c']]
if data['t'] == 'MetaMap':
ret = {}
for key in data['c']:
ret[key] = stringify(data['c'][key])
return ret
raise RuntimeError("Could not understand metadata variable '%s'." % name)
def url_filter(key, value, format_, meta):
'''
Filter special links. If a link is of the form '!STRING', use the
bang-expression to search DuckDuckGo. So for instance (with markdown)
'[Fishmans](!w)' would search Wikipedia for "Fishmans". If a link
is empty, like '[About me]()', then automatically link to the
slug-form of the text; in this case, the link would be transformed
to '[About me](./about-me)' (or whatever equivalent in the output
format).
'''
if key == 'Link':
attr, txt, urllst = value
url = urllst[0]
# For debugging
#with open('log.txt', 'w') as f:
# f.write(str(value) + "\n")
# f.write("txt: " + str(txt) + "\n")
# f.write("url: " + str(url) + "\n")
# f.write("attr: " + str(attr) + "\n")
if url == "!w":
url = "https://en.wikipedia.org/wiki/" + stringify(txt)
elif url.startswith("!w%20"):
url = "https://en.wikipedia.org/wiki/" + url[len("!w%20"):]
elif url == "!wja":
url = "https://ja.wikipedia.org/wiki/" + stringify(txt)
elif url.startswith("!wja%20"):
url = "https://ja.wikipedia.org/wiki/" + url[len("!wja%20"):]
elif url.startswith("!"):
url = "http://duckduckgo.com/?q=" + url + " " + stringify(txt)
elif url == '':
# So we want to internally link txt
url = slug(stringify(txt))
url = "./" + url
urllst = [url, urllst[1]]
return Link(attr, txt, urllst)
def structure_header(v, f, m):
global lastsection, lastsubsection
if v[0] == 1:
lastsection = pf.stringify(v[2])
lastsubsection = ''
elif v[0] == 2:
lastsubsection = pf.stringify(v[2])
def structure_header(v, f, m):
global lastsection, lastsubsection
if v[0] == 1:
lastsection = pf.stringify(v[2])
lastsubsection = ''
elif v[0] == 2:
lastsubsection = pf.stringify(v[2])
def get_runlist(metadata, kind, options):
""" return run list for kind from metadata """
runlist = list()
# - return empty list unless entries of kind are in metadata
try:
metadata_list = get_content(metadata, kind, 'MetaList')
except (error.WrongType, error.MissingField) as err:
info.log('WARNING', 'panzer', err)
return runlist
for item in metadata_list:
check_c_and_t_exist(item)
item_content = item[const.C]
# - create new entry
entry = dict()
entry['kind'] = kind
entry['command'] = str()
entry['status'] = const.QUEUED
# - get entry command
command_raw = get_content(item_content, 'run', 'MetaInlines')
command_str = pandocfilters.stringify(command_raw)
entry['command'] = util.resolve_path(command_str, kind, options)
# - get entry arguments
entry['arguments'] = list()
if 'args' in item_content:
if get_type(item_content, 'args') == 'MetaInlines':
# - arguments raw string
arguments_raw = get_content(item_content, 'args', 'MetaInlines')
arguments_str = pandocfilters.stringify(arguments_raw)
entry['arguments'] = shlex.split(arguments_str)
elif get_type(item_content, 'args') == 'MetaList':
# - arguments MetaList
arguments_list = get_content(item_content, 'args', 'MetaList')
entry['arguments'] = get_runlist_args(arguments_list)
runlist.append(entry)
return runlist
def url_filter(key, value, format_, meta):
'''
Filter special links. If a link is of the form '!STRING', use the
bang-expression to search DuckDuckGo. So for instance (with markdown)
'[Fishmans](!w)' would search Wikipedia for "Fishmans". If a link
is empty, like '[About me]()', then automatically link to the
slug-form of the text; in this case, the link would be transformed
to '[About me](./about-me)' (or whatever equivalent in the output
format).
'''
if key == 'Link':
[txt, [url, attr]] = value
if url == "!w":
url = "https://en.wikipedia.org/wiki/" + stringify(txt)
elif url.startswith("!w%20"):
url = "https://en.wikipedia.org/wiki/" + url[len("!w%20"):]
elif url == "!wja":
url = "https://ja.wikipedia.org/wiki/" + stringify(txt)
elif url.startswith("!wja%20"):
url = "https://ja.wikipedia.org/wiki/" + url[len("!wja%20"):]
elif url.startswith("!"):
url = "http://duckduckgo.com/?q=" + url + " " + stringify(txt)
elif url == '':
# So we want to internally link txt
url = slugify_unicode(stringify(txt), to_lower=True)
url = "./" + url
return Link(txt, [url, attr])
def bidding_divs(key, value, fmt, meta):
global prev_key
if key == 'BulletList' and prev_key != pf.stringify(value[0]):
prev_key = pf.stringify(value[0])
if is_bidding(value):
attr = ('', ['bids'], [])
return pf.Div(attr, [pf.BulletList(value)])
return None
def _para_attr(self, para):
'extract and return attributes from para (if any)'
# An attribute Para starts with a known attribute: keyword
# - parameter para is the 'c'-val from {'t': 'Para', 'c': [...]}
# - list of words may span multiple lines
# - explanation: is the only attr whose value is markdown text.
attrs = {} # attrs{attr} -> sub-ast
# check if para starts with an attribute keyword, if not return {}
try:
if para[0]['t'] != 'Str':
return attrs
attr = para[0]['c'].lower()
if attr not in self.ATTR_KEYWORDS:
return attrs
except Exception as e:
log.debug('cannot retrieve attributes from para: %s', repr(e))
return attrs
# collect subast per attribute in ATTR_KEYWORDS
ptr = attrs.setdefault(attr, [])
for key, val in PandocAst(para).tokens:
if key != 'Str':
ptr.append(as_block(key, val)) # append non-Str to ptr
continue
attr = val.lower()
if attr in self.ATTR_KEYWORDS:
ptr = attrs.setdefault(attr, []) # keyword: starts new ptr
continue
ptr.append(as_block(key, val)) # otherwise, append to ptr
# process known attributes
for attr, subast in attrs.items():
if attr not in self.ATTR_KEYWORDS:
continue
if attr == 'explanation:':
xpl = PandocAst(as_ast('Para', subast)).convert('markdown')
attrs[attr] = xpl.strip()
elif attr == 'tags:':
# list of words, possibly separated by spaces and/or comma's
words = pf.stringify(subast).replace(',', ' ').lower()
attrs[attr] = sorted(set(words.split()))
elif attr == 'answer:':
# list of letters or numbers, possibly separated by non-alnum's
answers = pf.stringify(subast).lower()
attrs[attr] = sorted(set(x for x in answers if x.isalnum()))
elif attr == 'section:':
# section: keyword for this question
words = pf.stringify(subast).replace(',', ' ').lower()
attrs[attr] = words.split()[0] # keep only 1st word
# log any attributes found
log.debug('found %d attributes: %s', len(attrs), attrs.keys())
return attrs
def header2box(key, value, format, meta):
if format not in ["latex", "pdf", "native"]:
return
if key == 'Header' and value[0] == 1:
return RawBlock('latex', template1 % stringify(value))
if key == 'Header' and value[0] == 2:
return RawBlock('latex', template2 % stringify(value))
def main():
"""docstring for main"""
message_in = read_message()
# read input ast
meta = message_in[0]['metadata']
if 'metapub' not in meta:
log('ERROR', 'No "metapub" metadata field in input document')
return 1
# read metapub_file
if 'metapub_file' not in meta:
log('ERROR', 'No "metapub_file" metadata field in input document')
return 1
metapub_file = stringify(meta['metapub_file'])
log('DEBUG', 'reading from: ' + metapub_file)
pubs = read_yaml(metapub_file)
# find entry in metapub_file
ident = stringify(meta['metapub'])
log('DEBUG', 'looking for: ' + ident)
entries = [e for e in pubs
if ('uuid' in e and e['uuid'] == ident) \
or ('slug' in e and e['slug'] == ident)]
if not entries:
log(
'ERROR', 'Publication with id "%s" not found in "%s"' %
(ident, metapub_file))
return 1
if len(entries) > 1:
log(
'WARNING', 'More than 1 publication with id "%s" found in "%s"' %
(ident, metapub_file))
entry = entries[0]
dest = str()
try:
dest = entry['deploy']['path']
except KeyError:
log('ERROR',
'"path" field inside "deploy" field not found in metadata')
return 1
if not dest:
log('WARNING', '"path" field inside "deploy" empty')
return 1
# copy the file
source = message_in[0]['options']['pandoc']['output']
if source == '-':
log('ERROR', 'no output filename for panzer given')
return 1
source = os.path.splitext(source)[0] + '.pdf'
log('INFO', 'source file: "%s"' % source)
log('INFO', 'deploying to location "%s"' % dest)
if not os.path.exists(source):
log('ERROR', 'source file "%s" does not exist' % source)
return 1
shutil.copyfile(source, dest)
if os.path.exists(dest):
open_pdf(dest)
return 0
def crossreference(key, value, fmt, meta):
if key == 'Image' and fmt == 'context':
[caption, fig] = value
strCap = re.findall(r'(?:\{(.*)\})? *(.*$)', stringify(caption))
caption = [
RawInline('context', re.sub(r'\{.*\} *', "", stringify(caption)))
]
return [
context("\placefigure[here][%s]{%s}{\externalfigure[%s]}" %
(strCap[0][0], strCap[0][1], fig[0]))
]
if key == 'Table' and fmt == 'context':
warning("start")
warning(value)
[caption, align, width, head, text] = value
strCap = re.findall(r'(?:\{(.*)\})? *(.*$)', stringify(caption))
# todo width
out = []
for i, col in enumerate(align):
out.append(
block("\\setupTABLE[column][%s][align={%s,lohi}]" %
(i + 1, alignDict(col))))
out.append(
block("\placetable[here][%s]{%s}{" % (strCap[0][0], strCap[0][1])))
out.append(block("\\bTABLE"))
if not empty(head):
out.append(
block(
"\setupTABLE[r][1][background=color,backgroundcolor=gray,style={\\tfa}]"
))
out.append(block("\\bTR"))
for h in head:
out.append(block("\\bTH %s \\eTH" % (stringify(h))))
out.append(block("\\eTR"))
else:
out.append(
block(
"\setupTABLE[r][1][background=color,backgroundcolor=white,style={\\tfx}]"
))
for row in text:
out.append(block("\\bTR"))
for cell in row:
out.append(block("\\bTD %s \\eTD" % stringify(cell)))
out.append(block("\\eTR"))
out.append(block("\\eTABLE}"))
return out
def figure_replacement(self, key, value, format, metadata):
"""Replace figures with appropriate representation and
append info to the refdict.
"""
image = value[0]
attr_string = pf.stringify(value[1:])
filename = image['c'][1][0]
raw_caption = pf.stringify(image['c'][0])
attrs = attr_parser.parse(attr_string)
label = attrs['id']
classes = attrs['classes']
keys = [(k, v) for k, v in attrs.items() if k not in ('id', 'classes')]
class_str = 'class="{}"'.format(' '.join(classes)) if classes else ''
key_str = ' '.join('{}={}'.format(k, v) for k, v in keys)
self.refdict[label] = {'type': 'figure',
'id': self.figure_count}
caption = 'Figure {n}: {caption}'.format(n=self.figure_count,
caption=raw_caption)
self.figure_count += 1
if format == 'markdown':
figure = markdown_figure.format(id=label,
caption=caption,
filename=filename)
return pf.Para([rawmarkdown(figure)])
elif format == 'html':
figure = html_figure.format(id=label,
classes=class_str,
keys=key_str,
filename=filename,
alt=caption,
caption=caption)
return pf.Para([rawhtml(figure)])
elif format == 'html5':
figure = html5_figure.format(id=label,
classes=class_str,
keys=key_str,
filename=filename,
alt=caption,
caption=caption)
return pf.Para([rawhtml(figure)])
elif format == 'latex':
figure = latex_figure.format(filename=filename,
caption=raw_caption,
label=label)
return pf.Para([rawlatex(figure)])
def convert_internal_refs(self, key, value, format, metadata):
"""Convert all internal links from '#blah' into format
specified in self.replacements.
"""
if key != 'Cite':
return None
citations, inlines = value
if len(citations) > 1:
'''
Note: Need to check that *all* of the citations in a
multicitation are in the reference list. If not, the citation
is bibliographic, and we want LaTeX to handle it, so just
return unmodified.
'''
for citation in citations:
if citation['citationId'] not in self.references: return
return self.convert_multiref(key, value, format, metadata)
else:
citation = citations[0]
prefix = pf.stringify(citation['citationPrefix'])
suffix = pf.stringify(citation['citationSuffix'])
if prefix:
prefix += ' '
label = citation['citationId']
if label not in self.references:
return
rtype = self.references[label]['type']
n = self.references[label]['id']
text = self.replacements[rtype].format(n)
if format == 'latex' and self.autoref:
link = u'{pre}\\autoref{{{label}}}{post}'.format(pre=prefix,
label=label,
post=suffix)
return pf.RawInline('latex', link)
elif format == 'latex' and not self.autoref:
link = u'{pre}\\ref{{{label}}}{post}'.format(pre=prefix,
label=label,
post=suffix)
return pf.RawInline('latex', link)
else:
link_text = '{}{}{}'.format(prefix, text, suffix)
link = pf.Link([pf.Str(link_text)], ('#' + label, ''))
return link
def convert_internal_refs(self, key, value, format, metadata):
"""Convert all internal links from '#blah' into format
specified in self.replacements.
"""
if key != 'Cite':
return None
citations, inlines = value
if len(citations) > 1:
'''
Note: Need to check that *all* of the citations in a
multicitation are in the reference list. If not, the citation
is bibliographic, and we want LaTeX to handle it, so just
return unmodified.
'''
for citation in citations:
if citation['citationId'] not in self.references: return
return self.convert_multiref(key, value, format, metadata)
else:
citation = citations[0]
prefix = pf.stringify(citation['citationPrefix'])
suffix = pf.stringify(citation['citationSuffix'])
if prefix:
prefix += ' '
label = citation['citationId']
if label not in self.references:
return
rtype = self.references[label]['type']
n = self.references[label]['id']
text = self.replacements[rtype].format(n)
if format == 'latex' and self.autoref:
link = u'{pre}\\autoref{{{label}}}{post}'.format(pre=prefix,
label=label,
post=suffix)
return pf.RawInline('latex', link)
elif format == 'latex' and not self.autoref:
link = u'{pre}\\ref{{{label}}}{post}'.format(pre=prefix,
label=label,
post=suffix)
return pf.RawInline('latex', link)
else:
link_text = u'{}{}{}'.format(prefix, text, suffix)
link = pf.Link([pf.Str(link_text)], ('#' + label, ''))
return link
def structure_header(v, f, m):
global block
result = []
if v[0] == 1:
block.begin(result, pf.stringify(v[2]))
return result
elif v[0] == 2:
# second level ignored and removed on posters
return []
elif v[0] == 3:
result.append(lb(r'\structure{%s}' % pf.stringify(v[2])))
return result
def structure_header(v, f, m):
global block
result = []
if v[0] == 1:
block.begin(result, pf.stringify(v[2]))
return result
elif v[0] == 2:
# second level ignored and removed on posters
return []
elif v[0] == 3:
result.append(lb(r'\structure{%s}' % pf.stringify(v[2])))
return result
def main():
"""docstring for main"""
# read input ast
ast = read_ast()
meta = ast['meta']
if 'metapub' not in meta:
write_ast(ast)
return
# read metapub_file
if 'metapub_file' not in meta:
log('ERROR', 'No "metapub_file" metadata field in input document')
write_ast(ast)
return
metapub_file = stringify(meta['metapub_file'])
log('DEBUG', 'reading from: ' + metapub_file)
pubs = read_yaml(metapub_file)
# find entry in metapub_file
ident = stringify(meta['metapub'])
log('DEBUG', 'looking for: ' + ident)
entries = [e for e in pubs
if ('uuid' in e and e['uuid'] == ident) \
or ('slug' in e and e['slug'] == ident)]
if not entries:
log(
'ERROR', 'Publication with id "%s" not found in "%s"' %
(ident, metapub_file))
write_ast(ast)
return
if len(entries) > 1:
log(
'WARNING', 'More than 1 publication with id "%s" found in "%s"' %
(ident, metapub_file))
entry = entries[0]
# build new metadata from entry
new = dict()
add_title(new, entry)
add_author(new, entry)
add_date_updated(new, entry)
add_disclaimer(new, entry)
add_publication(new, entry)
add_abstract(new, entry)
add_keywords(new, entry)
add_note(new, entry)
add_review(new, entry)
# convert new metadata to pandoc's ast metadata format
log('DEBUG', 'new metadata: ' + str(new))
incoming = generate_meta(new)
# update using new metadata
meta.update(incoming)
# write output ast
ast['meta'] = meta
write_ast(ast)
def get_meta(meta, name):
"""Retrieves the metadata variable 'name' from the 'meta' dict."""
assert name in meta
data = meta[name]
if data['t'] in ['MetaString', 'MetaBool']:
return data['c']
elif data['t'] == 'MetaInlines':
if len(data['c']) == 1:
return stringify(data['c'])
elif data['t'] == 'MetaList':
return [stringify(v['c']) for v in data['c']]
else:
raise RuntimeError("Could not understand metadata variable '%s'." %
name)
def get_list_or_inline(metadata, field):
""" return content of MetaList or MetaInlines item coerced as list """
field_type = get_type(metadata, field)
if field_type == 'MetaInlines':
content_raw = get_content(metadata, field, 'MetaInlines')
content = [pandocfilters.stringify(content_raw)]
return content
elif field_type == 'MetaList':
content = list()
for content_raw in get_content(metadata, field, 'MetaList'):
content.append(pandocfilters.stringify(content_raw))
return content
else:
raise error.WrongType('"%s" value must be of type "MetaInlines"'
'or "MetaList"' % field)
def get_list_or_inline(metadata, field):
""" return content of MetaList or MetaInlines item coerced as list """
field_type = get_type(metadata, field)
if field_type == 'MetaInlines':
content_raw = get_content(metadata, field, 'MetaInlines')
content = [pandocfilters.stringify(content_raw)]
return content
elif field_type == 'MetaList':
content = list()
for content_raw in get_content(metadata, field, 'MetaList'):
content.append(pandocfilters.stringify(content_raw))
return content
else:
raise error.WrongType('"%s" value must be of type "MetaInlines"'
'or "MetaList"' % field)
def main():
"""docstring for main"""
# read input ast
ast = read_ast()
meta = ast['meta']
if 'metapub' not in meta:
write_ast(ast)
return
# read metapub_file
if 'metapub_file' not in meta:
log('ERROR', 'No "metapub_file" metadata field in input document')
write_ast(ast)
return
metapub_file = stringify(meta['metapub_file'])
log('DEBUG', 'reading from: ' + metapub_file)
pubs = read_yaml(metapub_file)
# find entry in metapub_file
ident = stringify(meta['metapub'])
log('DEBUG', 'looking for: ' + ident)
entries = [e for e in pubs
if ('uuid' in e and e['uuid'] == ident) \
or ('slug' in e and e['slug'] == ident)]
if not entries:
log('ERROR', 'Publication with id "%s" not found in "%s"' % (ident, metapub_file))
write_ast(ast)
return
if len(entries) > 1:
log('WARNING', 'More than 1 publication with id "%s" found in "%s"' % (ident, metapub_file))
entry = entries[0]
# build new metadata from entry
new = dict()
add_title(new, entry)
add_author(new, entry)
add_date_updated(new, entry)
add_disclaimer(new, entry)
add_publication(new, entry)
add_abstract(new, entry)
add_keywords(new, entry)
add_note(new, entry)
add_review(new, entry)
# convert new metadata to pandoc's ast metadata format
log('DEBUG', 'new metadata: ' + str(new))
incoming = generate_meta(new)
# update using new metadata
meta.update(incoming)
# write output ast
ast['meta'] = meta
write_ast(ast)
def mk_columns(k, v, f, m):
if k == "Para":
value = stringify(v)
if value.startswith('.') and value.endswith('['):
return html(r'<div class="%s">' % value[1:-1])
elif value == ".]":
return html(r'</div>')
def get_runlist_args(arguments_list):
""" return list of arguments from 'args' MetaList """
arguments = list()
for item in arguments_list:
if item[const.T] != 'MetaMap':
info.log('ERROR', 'panzer',
'"args" list should have fields of type "MetaMap"')
continue
fields = item[const.C]
if len(fields) != 1:
info.log('ERROR', 'panzer',
'"args" list should have exactly one field per item')
continue
field_name = "".join(fields.keys())
field_type = get_type(fields, field_name)
field_value = get_content(fields, field_name, field_type)
if field_type == 'MetaBool':
arguments.append('--' + field_name)
elif field_type == 'MetaInlines':
value_str = pandocfilters.stringify(field_value)
arguments.append('--%s="%s"' % (field_name, value_str))
else:
info.log('ERROR', 'panzer',
'arguments of type "%s" not' 'supported---"%s" ignored'
% (field_type, field_name))
return arguments
def wrapfig(key, val, fmt, meta):
if key == 'Image':
attrs, caption, target = val
if FLAG_PAT.match(stringify(caption)):
# Strip tag
where = FLAG_PAT.match(caption[-1]['c']).group(1)
overhang = FLAG_PAT.match(caption[-1]['c']).group(4)
overhang = overhang if not overhang else '[%s]' % overhang
size = FLAG_PAT.match(caption[-1]['c']).group(2)
lines = FLAG_PAT.match(caption[-1]['c']).group(7)
stripped_caption = caption[:-2]
if fmt == 'latex':
if len(lines) > 0:
latex_begin = r'\begin{wrapfigure}[' + lines \
+ ']{%s}%s{' % (where, overhang) + size + '}'
else:
latex_begin = \
r'\begin{wrapfigure}{%s}%s{' % (where, overhang) \
+ size + '}'
if len(stripped_caption) > 0:
latex_fig = r'\centering\includegraphics{' + target[0] \
+ '}\caption{'
latex_end = r'}\end{wrapfigure}'
return [RawInline(fmt, latex_begin + latex_fig)] \
+ stripped_caption + [RawInline(fmt, latex_end)]
else:
latex_fig = r'\centering\includegraphics{' + target[0] \
+ '}'
latex_end = r'\end{wrapfigure}'
return [RawInline(fmt, latex_begin + latex_fig)] \
+ [RawInline(fmt, latex_end)]
else:
return Image(attrs, stripped_caption, target)
def blockquote2div(key, value, format, meta):
"""Convert a blockquote into a div if it begins with a header
that has attributes containing a single class that is in the
allowed classes.
This function can be passed directly to toJSONFilter
from pandocfilters.
"""
if key == 'BlockQuote':
blockquote = value
header = find_header(blockquote)
if not header:
return
else:
level, attr, inlines = header
id, classes, kvs = attr
ltitle = pf.stringify(inlines).lower()
if ltitle in SPECIAL_TITLES:
classes.append(SPECIAL_TITLES[ltitle])
return pf.Div(attr, blockquote)
elif len(classes) == 1 and classes[0] in SPECIAL_CLASSES:
remove_attributes(blockquote)
# a blockquote is just a list of blocks, so it can be
# passed directly to Div, which expects Div(attr, blocks)
return pf.Div(attr, blockquote)
def transPara(key, value, format, meta):
if key == 'Span':
if dropHeaderFooter(value[0][2]):
return []
hstr = stringify(value[1])
return Str(hstr)
elif key == 'Div':
if dropHeaderFooter(value[0][2]):
return []
hstr = stringify(value[1])
if len(hstr) < 1:
trStr=""
return []
return value[1]
else:
return None
def keyword2html(keyword_node):
"""Return HTML version of keyword with id."""
keyword = pf.stringify(keyword_node)
id = normalize_keyword(keyword)
return [{"t": "Span",
"c": [[id, [],[]],
keyword_node]}]
def mk_columns(k, v, f, m):
if k == "Para":
value = pf.stringify(v).strip()
if value.startswith('[') and value.endswith(']'):
content = value[1:-1]
if content.startswith("leftcol"):
width = content.replace("leftcol", '').strip()
if width != "":
width+="%"
else:
width="50%"
return html(""" <div id="col-wrapper">
<div id="col">
<div style="width:%(width)s; float: left;">""" % {'width': width})
elif content.startswith("rightcol"):
width = content.replace("rightcol", '').strip()
if width != "":
width+="%"
else:
width="50%"
return html(""" </div>
<div style="width:%(width)s; float:right;">""" % {'width': width})
elif content.startswith("endcol"):
return html(""" </div>
</div>
</div>""")
def taskToProjectJson(block):
match = taskRegex.match(pandocfilters.stringify(block))
isComplete = match.group(1) != " "
name = match.group(2)
return ["", name, "task", isComplete]
def id4glossary(key, value, format, meta):
"""Add id to keywords at glossary."""
if "subtitle" in meta and pf.stringify(meta['subtitle']) == 'Reference':
if key == "DefinitionList":
for definition in value:
definition[0] = keyword2html(definition[0])
return {"t": key, "c": value}
def keyword2html(keyword_node):
"""Return HTML version of keyword with id."""
keyword = pf.stringify(keyword_node)
id = normalize_keyword(keyword)
return [{"t": "Span",
"c": [[id, [],[]],
keyword_node]}]
def replaceQuote(key, value, format, meta):
if key == 'BlockQuote' and format == 'latex':
if stringify(value).startswith(":" + tag):
value[0]['c'][0] = Strong([Str(prefix)
]) # remove the ":note" prefix
return [latex("\\begin{" + blockName + "}")
] + value + [latex("\\end{" + blockName + "}")]
def mk_columns(k, v, f, m):
if k == "Para":
value = stringify(v)
if value.startswith('[') and value.endswith(']'):
if value.count("[columns"):
div_args = ""
if value.count(","):
div_args += value[value.find(",")+1:-1]
return html(r'<div %s>' % div_args)
elif value == "[/columns]":
return html(r'</div>')
elif value == "[/column]":
return html(r'</div>')
elif value.startswith("[column=") or value.startswith("[column,"):
digit_re = re.compile("column=(\d+)")
regex_result = digit_re.search(value)
if regex_result and regex_result.groups():
div_args = r'<div width="%s" ' % regex_result.groups()[0]
else:
div_args = r'<div '
if value.count(","):
div_args += value[value.find(",")+1:-1]
div_args += ">"
return html(div_args)
def create_figures(key, value, format, metadata):
"""Convert Images with attributes to Figures.
Images are [caption, (filename, title)].
Figures are [caption, (filename, title), attrs].
This isn't a supported pandoc type, we just use it internally.
"""
if isattrfigure(key, value):
image = value[0]
attr = PandocAttributes(pf.stringify(value[1:]), 'markdown')
caption, target = image['c']
return Figure(caption, target, attr.to_pandoc())
elif isdivfigure(key, value):
# use the first image inside
attr, blocks = value
images = [b['c'][0] for b in blocks if b['c'][0]['t'] == 'Image']
image = images[0]
caption, target = image['c']
return Figure(caption, target, attr)
else:
return None
def wrapfig(key, val, fmt, meta):
if key == 'Image':
attrs, caption, target = val
if FLAG_PAT.match(stringify(caption)):
# Strip tag
size = FLAG_PAT.match(caption[-1]['c']).group(1)
lines = FLAG_PAT.match(caption[-1]['c']).group(3)
stripped_caption = caption[:-2]
if fmt == 'latex':
if len(lines) > 0:
latex_begin = r'\begin{wrapfigure}[' + lines + ']{l}{' + size + '}'
else:
latex_begin = r'\begin{wrapfigure}{l}{' + size + '}'
if len(stripped_caption) > 0:
latex_fig = r'\centering\includegraphics{' + target[0] \
+ '}\caption{'
latex_end = r'}\end{wrapfigure}'
return [RawInline(fmt, latex_begin + latex_fig)] \
+ stripped_caption + [RawInline(fmt, latex_end)]
else:
latex_fig = r'\centering\includegraphics{' + target[0] \
+ '}'
latex_end = r'\end{wrapfigure}'
return [RawInline(fmt, latex_begin + latex_fig)] \
+ [RawInline(fmt, latex_end)]
else:
return Image(attrs, stripped_caption, target)
def blockquote2div(key, value, format, meta):
"""Convert a blockquote into a div if it begins with a header
that has attributes containing a single class that is in the
allowed classes.
This function can be passed directly to toJSONFilter
from pandocfilters.
"""
if key == 'BlockQuote':
blockquote = value
header = find_header(blockquote)
if not header:
return
else:
level, attr, inlines = header
id, classes, kvs = attr
ltitle = pf.stringify(inlines).lower()
if ltitle in SPECIAL_TITLES:
classes.append(SPECIAL_TITLES[ltitle])
return pf.Div(attr, blockquote)
elif len(classes) == 1 and classes[0] in SPECIAL_CLASSES:
remove_attributes(blockquote)
# a blockquote is just a list of blocks, so it can be
# passed directly to Div, which expects Div(attr, blocks)
return pf.Div(attr, blockquote)
def mk_terminal(key, value, format, meta):
if key == "Para":
val = pf.stringify(value)
if val.startswith('[') and val.endswith(']'):
content = val[1:-1]
if content == "terminal":
if (format == "beamer"):
return latex(
'\setbeamercolor*{block title example}{fg=darkgray!95!white,bg=darkgray!50!white}'
+ '\n' +
'\setbeamercolor*{block body example}{fg=green!75!black,bg=black!80}'
+ '\n' +
'\\begin{exampleblock}{\centering {Terminal}}' + '\n' +
' \\vspace{-0.3cm}' + '\n' +
' \\begin{lstlisting}[style=bash, frame=none, numbers=none, xleftmargin=0pt, framexleftmargin=0pt]'
)
elif (format == "latex"):
return latex(
'\\begin{terminalbox}{}{' + '\n' +
' \\begin{lstlisting}[style=bash, frame=none, numbers=none, xleftmargin=0pt, framexleftmargin=0pt]'
)
elif content == "/terminal":
if (format == "beamer"):
return latex(' \end{lstlisting}' + '\n' +
' \\vspace{-0.3cm}' + '\n' +
'\end{exampleblock}')
elif (format == "latex"):
return latex(' \end{lstlisting}' + '\n' +
'}\end{terminalbox}')
def get_runlist_args(arguments_list):
""" return list of arguments from 'args' MetaList """
arguments = list()
for item in arguments_list:
if item[const.T] != 'MetaMap':
info.log('ERROR', 'panzer',
'"args" list should have fields of type "MetaMap"')
continue
fields = item[const.C]
if len(fields) != 1:
info.log('ERROR', 'panzer',
'"args" list should have exactly one field per item')
continue
field_name = "".join(fields.keys())
field_type = get_type(fields, field_name)
field_value = get_content(fields, field_name, field_type)
if field_type == 'MetaBool':
arguments.append('--' + field_name)
elif field_type == 'MetaInlines':
value_str = pandocfilters.stringify(field_value)
arguments.append('--%s="%s"' % (field_name, value_str))
else:
info.log(
'ERROR', 'panzer', 'arguments of type "%s" not'
'supported---"%s" ignored' % (field_type, field_name))
return arguments
def page_number_extractor(key, value, fmt, meta):
"""Scan all paragraphs for those starting with || to parse it for page
numbering information."""
if not (fmt == "html" or fmt == "html5" or fmt == "epub"):
return
if key == "Para" and value:
# find first obj with content (line breaks don't have this)
text = None
for obj in value:
if "c" in obj:
text = obj["c"]
break
if text is None:
return # no content in Paragraph - ignore
# first chunk of paragraph must be str and contain '||'
if isinstance(text, str) and text.startswith("||"):
text = pandocfilters.stringify(value) # get whole text of page number
pnum = config.PAGENUMBERING_PATTERN.search(text)
if pnum:
# strip the first ||
text = text[2:].lstrip().rstrip()
if fmt == "epub":
return html(
'<p class="pagebreak"><span id="p{0}">{1}</span></p>'.format(
pnum.groups()[1], text
)
)
return html(
'<p><span id="p{0}">{1}</span></p>'.format(pnum.groups()[1], text)
)
def create_figures(key, value, format, metadata):
"""Convert Images with attributes to Figures.
Images are [caption, (filename, title)].
Figures are [caption, (filename, title), attrs].
This isn't a supported pandoc type, we just use it internally.
"""
if isattrfigure(key, value):
image = value[0]
attr = PandocAttributes(pf.stringify(value[1:]), 'markdown')
caption, target = image['c']
return Figure(caption, target, attr.to_pandoc())
elif isdivfigure(key, value):
# use the first image inside
attr, blocks = value
images = [b['c'][0] for b in blocks if b['c'][0]['t'] == 'Image']
image = images[0]
caption, target = image['c']
return Figure(caption, target, attr)
else:
return None
def process_simg(k, v, f, m):
if k == "Para":
value = pf.stringify(v)
if value.startswith('[simg') and value.endswith(']'):
debug(value)
images = re.split(r'\s+\+\+\+\s*', value[1:-1])
return latex(generate_image_code(images))
def transPara(key, value, format, meta):
if key == "Link":
# print "Link"
if debug == 1:
fh.write("Link\n")
hstr = stringify(value[1])
hstr = re.sub(u"listing", u"清单", hstr)
hstr = re.sub(u"figure", u"图", hstr)
hstr = re.sub(u"table", u"表", hstr)
hstr = re.sub("\.", u"-", hstr)
if len(hstr) < 1:
trStr = ""
return []
elif re.match(u"图|表|清单[\d\-]+", hstr):
return Str(hstr)
elif re.match(u"[\d\-]+章", hstr):
return Str(u"第" + hstr)
elif re.match(u"第[\d\-]+章", hstr):
return Str(hstr)
elif key == "CodeBlock":
v1 = ("", [], [])
return CodeBlock(v1, value[1])
elif key == "Image":
v1 = ("", [], [])
return Image(v1, value[1], value[2])
else:
return None
def ascii2svg(key, value, format, meta):
if key == 'CodeBlock':
[[ident, classes, keyvals], code] = value
if "a2s" in classes:
caption, typef, keyvals = get_caption(keyvals)
filename = get_filename4code("a2s", code)
typepandoc = get_extension(format, "pdf")
typea2s = "svg"
src = filename + '.a2s'
desta2s = filename + '.' + typea2s
fontName = ""
metaMonoFont = meta.get('monofont', None)
if metaMonoFont:
fontName = stringify(metaMonoFont['c'])
if not os.path.isfile(desta2s):
txt = code.encode(sys.getfilesystemencoding())
txt = txt.decode('utf-8')
with open(src, "w") as f:
f.write(txt)
call(['a2s "-f%s" -i%s -o%s' % (fontName, src, desta2s)], shell=True)
sys.stderr.write('Created image ' + desta2s + '\n')
return Para([Image([ident, [], keyvals], caption, [desta2s, typef])])
def id4glossary(key, value, format, meta):
"""Add id to keywords at glossary."""
if "subtitle" in meta and pf.stringify(meta['subtitle']) == 'Reference':
if key == "DefinitionList":
for definition in value:
definition[0] = keyword2html(definition[0])
return {"t": key,
"c": value}
def is_attrtable(key, value):
"""True if this is an attributed table; False otherwise."""
try:
s = stringify(value[0]).strip()
return key == 'Table' and ATTR_PATTERN.match(s)
# pylint: disable=bare-except
except:
return False
def is_attrtable(key, value):
"""True if this is an attributed table; False otherwise."""
try:
s = stringify(value[0]).strip()
return key == 'Table' and ATTR_PATTERN.match(s)
# pylint: disable=bare-except
except:
return False
def mk_columns(k, v, f, m):
if k == "Para":
value = stringify(v)
if value.startswith('[') and value.endswith(']'):
if "[notes" in value:
return html(r'<div class="notes">')
elif value == "[/notes]":
return html(r'</div>')
def transform(self):
""" transform `self` by applying styles listed in `self.stylefull` """
writer = self.options['pandoc']['write']
info.log('INFO', 'panzer', 'writer:')
info.log('INFO', 'panzer', ' %s' % writer)
# 1. Do transform
# - start with blank metadata
new_metadata = dict()
# - apply styles, first to last
for style in self.stylefull:
all_s = meta.get_nested_content(self.styledef, [style, 'all'], 'MetaMap')
new_metadata = meta.update_metadata(new_metadata, all_s)
self.apply_commandline(all_s)
cur_s = meta.get_nested_content(self.styledef, [style, writer], 'MetaMap')
new_metadata = meta.update_metadata(new_metadata, cur_s)
self.apply_commandline(cur_s)
# - add in document metadata in document
indoc_data = self.get_metadata()
# -- add items from additive fields in indoc metadata
new_metadata = meta.update_additive_lists(new_metadata, indoc_data)
# -- add all other (non-additive) fields in
new_metadata.update(indoc_data)
# -- apply items from indoc `commandline` field
self.apply_commandline(indoc_data)
# 2. Apply kill rules to trim run lists
for field in const.RUNLIST_KIND:
try:
original_list = meta.get_content(new_metadata, field, 'MetaList')
trimmed_list = meta.apply_kill_rules(original_list)
if trimmed_list:
meta.set_content(new_metadata, field, trimmed_list, 'MetaList')
else:
# if all items killed, delete field
del new_metadata[field]
except error.MissingField:
continue
except error.WrongType as err:
info.log('WARNING', 'panzer', err)
continue
# 3. Set template
try:
if meta.get_type(new_metadata, 'template') == 'MetaInlines':
template_raw = meta.get_content(new_metadata, 'template', 'MetaInlines')
template_str = pandocfilters.stringify(template_raw)
elif meta.get_type(new_metadata, 'template') == 'MetaString':
template_str = meta.get_content(new_metadata, 'template', 'MetaString')
if template_str == '':
raise error.MissingField
else:
raise error.WrongType
self.template = util.resolve_path(template_str, 'template', self.options)
except (error.MissingField, error.WrongType) as err:
info.log('DEBUG', 'panzer', err)
if self.template:
info.log('INFO', 'panzer', info.pretty_title('template'))
info.log('INFO', 'panzer', ' %s' % info.pretty_path(self.template))
# 4. Update document's metadata
self.set_metadata(new_metadata)
def _process_refs(x, pattern, labels):
"""Searches the element list `x` for the first Cite element with an id
that either matches the compiled regular expression `pattern` or is found in
the `labels` list. Strips surrounding curly braces and adds modifiers to
the attributes of the Cite element. Repeats processing (via decorator)
until all matching Cite elements in `x` are processed."""
# Scan the element list x for Cite elements with known labels
try:
for i, v in enumerate(x):
if v['t'] == 'Cite' and len(v['c']) == 2:
label = v['c'][-2][0]['citationId']
if not label in labels and ':' in label:
testlabel = label.split(':')[-1]
if testlabel in labels:
label = testlabel
if (pattern and pattern.match(label)) or label in labels:
# A new reference was found; create some empty attrs for it
attrs = PandocAttributes()
# Extract the modifiers. 'attrs' is updated in place.
# Element deletion could change the index of the Cite being
# processed.
i = _extract_modifier(x, i, attrs)
# Remove surrounding brackets
i = _remove_brackets(x, i)
# Get the reference attributes. Attributes must immediately
# follow the label.
if not v['c'][0][0]['citationSuffix'] and \
not stringify(v['c'][-1]).endswith(']'):
try:
a = extract_attrs(x, i + 1)
attrs.id = a.id
attrs.classes.extend(a.classes)
attrs.kvs.update(a.kvs)
except (ValueError, IndexError):
pass # None given
# Attach the attributes
v['c'].insert(0, attrs.list)
# The element list may be changed
if label in labels:
return None # Forces processing to repeat via @_repeat
if _WARNINGLEVEL and pattern and \
pattern.match(label) and label not in badlabels:
badlabels.append(label)
msg = "\n%s: Bad reference: @%s.\n" % (_FILTERNAME, label)
STDERR.write(msg)
STDERR.flush()
except:
pass
return True # Terminates processing in _repeat decorator
def url_filter(key, value, format_, meta):
"""
"""
if key == 'Link':
[txt, [url, attr]] = value
caught = False
for i in interwiki_maps:
key, query = i
if url.startswith("!" + key):
url = query + stringify(txt)
caught = True
break
if not caught and url == '':
# So we want to internally link txt
url = "http://gwern.net/" + stringify(txt)
elif not caught and "://" not in url:
url = "http://gwern.net/" + url
return Link(txt, [url, attr])
def get_list(meta):
if get_list.checked == True:
pass
else:
try:
get_list.checked = True
get_list.hitlist = [stringify(x) for x in meta.get('smallcaps', {})['c']]
except KeyError:
pass
return get_list.hitlist
def walk_metadata(x):
'''
x is a JSON dictionary of pandoc metadata
Walks down a JSON dictionary in the pandoc metadata, returning a
more manageable representation.
FIXME: Maybe formatting for e.g. math should be retained instead of
converting to a string?
'''
if x['t'] == 'MetaBool':
return x['c']
elif x['t'] == 'MetaInlines':
return str(pandocfilters.stringify(x))
elif x['t'] == 'MetaString':
return str(pandocfilters.stringify(x))
elif x['t'] == 'MetaList':
lst = []
for i in x['c']:
lst.append(walk_metadata(i))
return lst
def mk_center(key, value, *args):
"""Make LaTeX centering."""
if key == "Para":
value = pf.stringify(value)
if value.startswith('[') and value.endswith(']'):
content = value[1:-1]
if content == "center":
return latex(r'\begin{center}')
elif content == "/center":
return latex(r'\end{center}')
def duck(key, value, format_, meta):
'''
If a link is of the form "!STRING", use the !-expression to search
DuckDuckGo. So for instance [Fishmans](!w) would search Wikipedia
for "Fishmans".
'''
if key == 'Link':
[txt, [url, attr]] = value
if url.startswith("!"):
url = "http://duckduckgo.com/?q=" + url + " " + stringify(txt)
return Link(txt, [url, attr])
def get_list(meta):
if get_list.checked == True:
pass
else:
try:
get_list.checked = True
get_list.hitlist = [stringify(x) for x in meta.get('smallcaps', {})['c']]
panzertools.log('INFO', 'small caps: ' + repr(get_list.hitlist))
except KeyError:
pass
return get_list.hitlist
def mk_columns(k, v, f, m):
if k == "Para":
value = pf.stringify(v)
if value.startswith('[') and value.endswith(']'):
content = value[1:-1]
if content == "columns":
return latex(r'\begin{columns}[T]')
elif content == "/columns":
return latex(r'\end{columns}')
elif content.startswith("column="):
return latex(r'\column{%s\textwidth}' % content[7:])
def mk_columns(key, value, *args):
"""Make LaTeX columns."""
if key == "Para":
value = pf.stringify(value)
if value.startswith('[') and value.endswith(']'):
content = value[1:-1]
if content == "columns":
return latex(r'\begin{columns}')
elif content == "/columns":
return latex(r'\end{columns}')
elif content.startswith("column="):
return latex(r'\column{%s\textwidth}' % content[7:])
def parse_attrimage(value):
"""Parses an attributed image."""
if len(value[0]['c']) == 2: # Old pandoc < 1.16
attrs, (caption, target) = None, value[0]['c']
s = stringify(value[1:]).strip() # The attribute string
# Extract label from attributes (label, classes, kvs)
label = PandocAttributes(s, 'markdown').to_pandoc()[0]
if label == 'fig:': # Make up a unique description
label = label + '__'+str(hash(target[0]))+'__'
return attrs, caption, target, label
else: # New pandoc >= 1.16
assert len(value[0]['c']) == 3
attrs, caption, target = value[0]['c']
s = stringify(value[1:]).strip() # The attribute string
# Extract label from attributes
label = attrs[0]
if label == 'fig:': # Make up a unique description
label = label + '__'+str(hash(target[0]))+'__'
return attrs, caption, target, label
def get_meta(meta, name):
"""Retrieves the metadata variable 'name' from the 'meta' dict."""
assert name in meta
data = meta[name]
if data['t'] in ['MetaString', 'MetaBool']:
return data['c']
elif data['t'] == 'MetaInlines':
# Handle bug in pandoc 2.2.3 and 2.2.3.1: Return boolean value rather
# than strings, as appropriate.
if len(data['c']) == 1 and data['c'][0]['t'] == 'Str':
if data['c'][0]['c'] in ['true', 'True', 'TRUE']:
return True
elif data['c'][0]['c'] in ['false', 'False', 'FALSE']:
return False
return stringify(data['c'])
elif data['t'] == 'MetaList':
return [stringify(v['c']) for v in data['c']]
else:
raise RuntimeError("Could not understand metadata variable '%s'." %
name)
