def toJSONFilter():
doc = json.loads(sys.stdin.read())
if len(sys.argv) > 1:
format = sys.argv[1]
else:
format = ""
# first, process metadata (title and subtitle)
result_meta = doc[0]['unMeta']
doc = walk(doc, extract_metadata, format, result_meta)
# We need a title, use a default if unset
if 'title' not in result_meta:
title = {'c': 'Untitled', 't': 'Str'}
result_meta['title'] = { "c": [title], "t": "MetaInlines" }
doc[0]['unMeta'] = result_meta
# then, fix page breaks
doc = walk(doc, fix_pagebreaks, format, result_meta)
# then, fix underline
doc = walk(doc, fix_underline, format, result_meta)
# then, customize horizontal rules (otherwise they're hardcoded in Writers/LaTeX.hs)
doc = walk(doc, fix_hr, format, result_meta)
json.dump(doc, sys.stdout)
def stringify(x, format):
"""Walks the tree x and returns concatenated string content,
leaving out all formatting.
"""
result = []
def go(key, val, format, meta):
if key in ['Str', 'MetaString']:
result.append(val)
elif key == 'Code':
result.append(val[1])
elif key == 'Math':
# Modified from the stringify function in the pandocfilter package
if format == 'latex':
result.append('$' + val[1] + '$')
else:
result.append(val[1])
elif key == 'LineBreak':
result.append(" ")
elif key == 'Space':
result.append(" ")
elif key == 'Note':
# Do not stringify value from Note node
del val[:]
walk(x, go, format, {})
return ''.join(result)
def quotify(x):
"""Replaces Quoted elements in element list 'x' with quoted strings.
Pandoc uses the Quoted element in its json when --smart is enabled.
Output to TeX/pdf automatically triggers --smart.
stringify() ignores Quoted elements. Use quotify() first to replace
Quoted elements in 'x' with quoted strings. 'x' should be a deep copy so
that the underlying document is left untouched.
Returns x."""
def _quotify(key, value, fmt, meta): # pylint: disable=unused-argument
"""Replaced Quoted elements with quoted strings."""
if key == 'Quoted':
ret = []
quote = '"' if value[0]['t'] == 'DoubleQuote' else "'"
if value[1][0]['t'] == 'Str':
value[1][0]['c'] = quote + value[1][0]['c']
else:
ret.append(Str(quote))
if value[1][-1]['t'] == 'Str':
value[1][-1]['c'] = value[1][-1]['c'] + quote
ret += value[1]
else:
ret += value[1] + [Str(quote)]
return ret
return None
return walk(walk(x, _quotify, '', {}), join_strings, '', {})
def test_insert_secnos_factory_2(self):
"""Tests insert_secnos_factory() #2."""
## test.md: ---\nxnos-number-sections: True\n...\n\n# Title\n\n$$ x $$\n ##
# Command: pandoc test.md -t json
src = eval(r'''{"blocks": [{"t": "Header", "c": [1, ["title", [], []], [{"t": "Str", "c": "Title"}]]}, {"t": "Para", "c": [{"t": "Math", "c": [{"t": "DisplayMath"}, " x "]}]}], "pandoc-api-version": [1, 17, 5, 1], "meta": {"xnos-number-sections": {"t": "MetaBool", "c": True}}}''')
# Check src against current pandoc
md = subprocess.Popen(('echo', '---\nxnos-number-sections: True\n...\n\n# Title\n\n$$ x $$\n'), stdout=subprocess.PIPE)
output = eval(subprocess.check_output(
'pandoc -t json'.split(),
stdin=md.stdout).strip().decode("utf-8").replace('true', 'True'))
self.assertEqual(src, output)
expected = eval(r'''{"blocks": [{"t": "Header", "c": [1, ["title", [], []], [{"t": "Str", "c": "Title"}]]}, {"t": "Para", "c": [{"t": "Math", "c": [{"t": "DisplayMath"}, " x "]}]}], "pandoc-api-version": [1, 17, 5, 1], "meta": {"xnos-number-sections": {"t": "MetaBool", "c": True}}}''')
# Make the comparison
meta = src['meta']
fmt = 'html'
attach_attrs_math = attach_attrs_factory(Math, allow_space=True)
insert_secnos = insert_secnos_factory(Math)
tmp = walk(src, attach_attrs_math, fmt, meta)
self.assertEqual(walk(tmp, insert_secnos, fmt, meta), expected)
def checker(self, input_data, bib_data):
walk(input_data, extractCites, 'json', {})
alterMetadata(input_data['meta'])
json_file = input_data['meta']['bibliography']['c'][0]['c']
with open(json_file) as f:
test_data = json.load(f)
self.assertEqual(len(bib_data), len(test_data))
for i in range(len(bib_data)):
self.assertDictEqual(bib_data[i], test_data[i])
def liftHeaders(key, value, fmt, meta):
if key == 'Header':
level, attrs, content = value
level -= 1
if level == 1:
content = walk(content, upcase, fmt, meta)
return Header(level, attrs, content)
def textbook(key, value, format, meta):
if key == "Header":
[level, [ident, classes, keyvals], inlines] = value
if (level == 5 or level == 1) and not "unnumbered" in classes:
return Header(level, [ident, classes + ["unnumbered"], keyvals], inlines)
if key == "CodeBlock":
[[ident, classes, keyvals], code] = value
if format == "html":
return RawBlock("html", "<pre>" + process_html(code) + "</pre>")
if key == "Code":
[[ident, classes, keyvals], code] = value
if format == "html":
return RawInline("html", "<code>" + process_html(code) + "</code>")
if key == "Image":
[attr, inlines, [src, tit]] = value
if format != "icml":
return Image(attr, inlines, [src.replace(".pdf", ".png"), tit])
if key == "Div":
[[ident, classes, keyvals], blocks] = value
if format == "docx":
if "numbers" in classes:
return Null()
if any(cls in classes for cls in ["keyterm", "keyterms", "didyouknow", "syntax", "quickcheck", "program"]):
return Div([ident, classes, keyvals],
[HorizontalRule()] + walk(blocks, textbook, format, meta) + [HorizontalRule()])
def test_use_refs_factory_8(self):
"""Tests use_refs_factory() #8."""
## test.md: @fig:1:
# pandoc-1.15.2 doesn't detect references that end in a colon. This
# was fixed in subsequent versions of pandoc. There is a trivial
# workaround; use "{@fig:1}:" instead. This is demonstrated in the
# next unit test. Given that there is a trivial work-around, this is
# probably not worth fixing.
# Command: pandoc-1.15.2 test.md -t json
src = eval(r'''[{"unMeta":{}},[{"t":"Para","c":[{"t":"Str","c":"@fig:1:"}]}]]''')
# Check against pandoc-1.15.2
md = subprocess.Popen(('echo', '@fig:1:'), stdout=subprocess.PIPE)
output = eval(subprocess.check_output(
(PANDOC1p15 + ' -t json').split(), stdin=md.stdout).strip())
self.assertEqual(src, output)
# Generate expected using current pandoc
md = subprocess.Popen(('echo', '@fig:1:'), stdout=subprocess.PIPE)
expected = eval(subprocess.check_output(
'pandoc -t json'.split(), stdin=md.stdout).strip())
# Make the comparison
process_refs = process_refs_factory(['fig:1'])
self.assertEqual(walk(src, process_refs, {}, ''), expected)
def toJSONFilters(actions):
"""Converts a list of actions into a filter that reads a JSON-formatted
pandoc document from stdin, transforms it by walking the tree
with the actions, and returns a new JSON-formatted pandoc document
to stdout. The argument is a list of functions action(key, value, format, meta),
where key is the type of the pandoc object (e.g. 'Str', 'Para'),
value is the contents of the object (e.g. a string for 'Str',
a list of inline elements for 'Para'), format is the target
output format (which will be taken for the first command line
argument if present), and meta is the document's metadata.
If the function returns None, the object to which it applies
will remain unchanged. If it returns an object, the object will
be replaced. If it returns a list, the list will be spliced in to
the list to which the target object belongs. (So, returning an
empty list deletes the object.)
"""
try:
input_stream = io.TextIOWrapper(sys.stdin.buffer, encoding='utf-8')
except AttributeError:
# Python 2 does not have sys.stdin.buffer.
# REF: http://stackoverflow.com/questions/2467928/python-unicodeencodeerror-when-reading-from-stdin
input_stream = codecs.getreader("utf-8")(sys.stdin)
doc = json.loads(input_stream.read())
if len(sys.argv) > 1:
format = sys.argv[1]
else:
format = ""
altered = reduce(lambda x, action: walk(x, action, format, doc[0]['unMeta']), actions, doc)
addListings(altered, format, altered[0]['unMeta'])
json.dump(altered, sys.stdout)
def main():
doc = pf.json.loads(pf.sys.stdin.read())
if len(pf.sys.argv) > 1:
format = pf.sys.argv[1]
else:
format = ""
metadata = doc[0]['unMeta']
args = {k: v['c'] for k, v in metadata.items()}
autoref = args.get('autoref', True)
numbersections = args.get('numbersections', True)
refmanager = ReferenceManager(autoref=autoref, numbersections=numbersections)
altered = doc
for action in refmanager.reference_filter:
altered = pf.walk(altered, action, format, metadata)
# Need to ensure the LaTeX template knows about figures and tables
# by adding to metadata (only if it's not already specified).
if format == 'latex' or format == 'beamer':
if refmanager.table_exists and 'tables' not in metadata:
metadata['tables'] = pf.elt('MetaBool', 1)(True)
if refmanager.figure_exists and 'graphics' not in metadata:
metadata['graphics'] = pf.elt('MetaBool', 1)(True)
altered[0]['unMeta'] = metadata
pf.json.dump(altered, pf.sys.stdout)
def filter_in(self, instring):
def _filter(key, value, format, meta):
# remove HTML specific stuff
if key == "Link":
# remove relative path prefix and .html suffix
internal, [href, text] = value
if href.endswith(".html"):
href = href[:-5]
# FIXME: this stupid detection will not work
# or just leave the full path?
# if href.startswith("./"):
# href = href[2:]
# elif href.startswith("../"):
# href = href[3:]
return pandocfilters.Link(internal, [href, text])
# TODO: it's implemented in filter_pre, but could be useful anyway since html may not be
# the only input format; the most generic way should be implemented
# if key == "Header":
# level, classes, internal = value
#
# # record top level
# if self.heading_top_level == 0:
# self.heading_top_level = level
#
# # ensure we start from h1 in output
# if level > self.heading_top_level:
# level -= self.heading_top_level
#
# return pandocfilters.Header(level, classes, internal)
doc = json.loads(instring)
altered = pandocfilters.walk(doc, _filter, self.format, doc[0]["unMeta"])
return json.dumps(altered)
def latexstringify(x):
result = []
def go(key, val, format, meta):
if key == 'Str':
result.append(val)
elif key == 'Code':
result.append(val[1])
elif key == 'Math':
result.append('$' + val[1] + '$')
elif key == 'LineBreak':
result.append(" ")
elif key == 'Space':
result.append(" ")
elif key == 'RawInline' and val[0] == 'tex':
result.append(val[1])
pf.walk(x, go, "", {})
return ''.join(result).replace('%', '\\%')
def test_replace_refs_factory(self):
"""Tests replace_refs_factory."""
## test.md: As shown in @fig:1. ##
# Command: pandoc-1.15.2 test.md -t json
src = eval(r'''[{"unMeta":{}},[{"t":"Para","c":[{"t":"Str","c":"As"},{"t":"Space","c":[]},{"t":"Str","c":"shown"},{"t":"Space","c":[]},{"t":"Str","c":"in"},{"t":"Space","c":[]},{"t":"Cite","c":[["",[],[]],[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"AuthorInText","c":[]},"citationPrefix":[],"citationId":"fig:one","citationHash":0}],[{"t":"Str","c":"@fig:one"}]]},{"t":"Str","c":"."}]}]]''')
# Hand-coded
expected = eval(r'''[{"unMeta":{}},[{"t":"Para","c":[{"t":"Str","c":"As"},{"t":"Space","c":[]},{"t":"Str","c":"shown"},{"t":"Space","c":[]},{"t":"Str","c":"in"},{"t":"Space","c":[]},{"t":"Str","c":"fig."},{"t":"Space","c":[]},{'t':'Link','c':[['',[],[]],[{'t':'Str','c':'1'}],['#fig:one','']]},{"t":"Str","c":"."}]}]]''')
# Make the comparison
replace_refs = replace_refs_factory({'fig:one':1}, True, False,
['fig.', 'figs.'],
['Figure', 'Figures'],
'figure')
self.assertEqual(walk(walk(src, replace_refs, {}, ''),
join_strings, {}, ''), expected)
def stringify_maths(x):
"""Walks the tree x and returns concatenated string content,
leaving out all formatting.
"""
result = []
def go(key, val, format, meta):
if key in ['Str', 'MetaString']:
result.append(val)
elif key == 'Code':
result.append(val[1])
elif key == 'Math':
result.append("$" + val[1] + "$")
elif key == 'LineBreak':
result.append(" ")
elif key == 'Space':
result.append(" ")
pf.walk(x, go, "", {})
return ''.join(result)
def toJSONFilter(actions):
"""Modified from pandocfilters to accept a list of actions (to
apply in series) as well as a single action.
Converts an action into a filter that reads a JSON-formatted
pandoc document from stdin, transforms it by walking the tree
with the action, and returns a new JSON-formatted pandoc document
to stdout.
The argument is a function action(key, value, format, meta),
where key is the type of the pandoc object (e.g. 'Str', 'Para'),
value is the contents of the object (e.g. a string for 'Str',
a list of inline elements for 'Para'), format is the target
output format (which will be taken for the first command line
argument if present), and meta is the document's metadata.
If the function returns None, the object to which it applies
will remain unchanged. If it returns an object, the object will
be replaced. If it returns a list, the list will be spliced in to
the list to which the target object belongs. (So, returning an
empty list deletes the object.)
"""
doc = pf.json.loads(pf.sys.stdin.read())
if len(pf.sys.argv) > 1:
format = pf.sys.argv[1]
else:
format = ""
if 'meta' in doc:
metadata = doc['meta']
elif doc[0]: # old API
metadata = doc[0]['unMeta']
if type(actions) is type(toJSONFilter):
altered = pf.walk(doc, actions, format, metadata)
elif type(actions) is list:
altered = doc
for action in actions:
altered = pf.walk(altered, action, format, metadata)
pf.json.dump(altered, pf.sys.stdout)
def main():
"""Filters the document AST."""
# Get the output format, document and metadata
fmt = args.fmt
doc = json.loads(STDIN.read())
meta = doc[0]['unMeta']
# Process the metadata variables
process(meta)
# First pass
altered = functools.reduce(lambda x, action: walk(x, action, fmt, meta),
[attach_attrs_table, process_tables,
detach_attrs_table], doc)
# Second pass
process_refs = process_refs_factory(references.keys())
replace_refs = replace_refs_factory(references, cleveref_default,
plusname, starname, 'table')
altered = functools.reduce(lambda x, action: walk(x, action, fmt, meta),
[repair_refs, process_refs, replace_refs],
altered)
# Assemble supporting TeX
if fmt == 'latex':
tex = ['% Tablenos directives']
# Change caption name
if captionname != 'Table':
tex.append(r'\renewcommand{\tablename}{%s}'%captionname)
if len(tex) > 1:
altered[1] = [RawBlock('tex', '\n'.join(tex))] + altered[1]
# Dump the results
json.dump(altered, STDOUT)
# Flush stdout
STDOUT.flush()
def toJSONFilter(filters=[], metafilters=[]):
reader = codecs.getreader('utf8')
doc = json.loads(reader(sys.stdin).read())
if len(sys.argv) > 1:
format = sys.argv[1]
else:
format = ""
altered = doc
for action in filters:
altered = walk(altered, action, format, doc['meta'])
for action in metafilters:
action(altered['meta'])
json.dump(altered, sys.stdout)
def main():
"""Filters the document AST."""
# Get the output format, document and metadata
fmt = sys.argv[1] if len(sys.argv) > 1 else ''
doc = pandocfilters.json.loads(STDIN.read())
meta = doc[0]['unMeta']
# Replace attributed equations and references in the AST
altered = functools.reduce(lambda x, action: walk(x, action, fmt, meta),
[replace_attreqs, replace_refs], doc)
# Dump the results
pandocfilters.json.dump(altered, STDOUT)
def test_repair_refs_2(self):
"""Tests repair_refs() #2."""
## test.md: Eqs. {@eq:1}a and {@eq:1}b. ##
# Command: pandoc-1.17.2 test.md -f markdown+autolink_bare_uris -t json
src = eval(r'''[{"unMeta":{}},[{"t":"Para","c":[{"t":"Str","c":"Eqs."},{"t":"Space","c":[]},{"t":"Link","c":[["",[],[]],[{"t":"Str","c":"{@eq"}],["mailto:%7B@eq",""]]},{"t":"Str","c":":1}a"},{"t":"Space","c":[]},{"t":"Str","c":"and"},{"t":"Space","c":[]},{"t":"Link","c":[["",[],[]],[{"t":"Str","c":"{@eq"}],["mailto:%7B@eq",""]]},{"t":"Str","c":":1}b."}]}]]''')
# Command: pandoc-1.17.2 test.md -t json
expected = eval(r'''[{"unMeta":{}},[{"t":"Para","c":[{"t":"Str","c":"Eqs."},{"t":"Space","c":[]},{"t":"Str","c":"{"},{"t":"Cite","c":[[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"AuthorInText","c":[]},"citationPrefix":[],"citationId":"eq:1","citationHash":0}],[{"t":"Str","c":"@eq:1"}]]},{"t":"Str","c":"}a"},{"t":"Space","c":[]},{"t":"Str","c":"and"},{"t":"Space","c":[]},{"t":"Str","c":"{"},{"t":"Cite","c":[[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"AuthorInText","c":[]},"citationPrefix":[],"citationId":"eq:1","citationHash":0}],[{"t":"Str","c":"@eq:1"}]]},{"t":"Str","c":"}b."}]}]]''')
# Make the comparison
pandocxnos.init('1.17.2')
self.assertEqual(walk(src, repair_refs, {}, ''), expected)
pandocxnos.init(PANDOCVERSION)
def test_repair_refs_8(self):
"""Tests repair_refs() #8."""
## test.md: {@fig:1}-{@fig:3} ##
# Command: pandoc-1.17.2 test.md -f markdown+autolink_bare_uris -t json
src = eval(r'''[{"unMeta":{}},[{"t":"Para","c":[{"t":"Link","c":[["",[],[]],[{"t":"Str","c":"{@fig"}],["mailto:%7B@fig",""]]},{"t":"Str","c":":"},{"t":"Link","c":[["",[],[]],[{"t":"Str","c":"1}-{@fig"}],["mailto:1%7D-%7B@fig",""]]},{"t":"Str","c":":3}"}]}]]''')
# Command: pandoc test.md -t json
expected = eval(r'''[{"unMeta":{}},[{"t":"Para","c":[{"t":"Str","c":"{"},{"t":"Cite","c":[[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"AuthorInText","c":[]},"citationPrefix":[],"citationId":"fig:1","citationHash":0}],[{"t":"Str","c":"@fig:1"}]]},{"t":"Str","c":"}-{"},{"t":"Cite","c":[[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"AuthorInText","c":[]},"citationPrefix":[],"citationId":"fig:3","citationHash":0}],[{"t":"Str","c":"@fig:3"}]]},{"t":"Str","c":"}"}]}]]''')
# Make the comparison
pandocxnos.init('1.17.2')
self.assertEqual(walk(src, repair_refs, {}, ''), expected)
pandocxnos.init(PANDOCVERSION)
def toJSONFilters(input_stream, output_stream, *actions):
# ==============================================================================
"""Modified version of pandoc filter.
This version of pandoc filter is able to read from any input stream (not only
from stdin) and writes to any output stream (not only stdout).
"""
import pandocfilters
doc = json.loads(input_stream.read())
fmt = "json"
altered = functools.reduce(
lambda x, action: pandocfilters.walk(x, action, fmt, doc[0]['unMeta'])
, actions, doc )
json.dump(altered, output_stream)
def dollarfy(x):
"""Replaces Math elements in element list 'x' with a $-enclosed string.
stringify() passes through TeX math. Use dollarfy(x) first to replace
Math elements with math strings set in dollars. 'x' should be a deep copy
so that the underlying document is left untouched.
Returns 'x'."""
def _dollarfy(key, value, fmt, meta): # pylint: disable=unused-argument
"""Replaces Math elements"""
if key == 'Math':
return Str('$' + value[1] + '$')
return None
return walk(x, _dollarfy, '', {})
def pandoc(app, docname, source):
args = ["pandoc", "-f", "markdown", "-t", "json", "--bibliography=h5md.bib"]
proc = Popen(args, stdin=PIPE, stdout=PIPE)
indata = source[0].encode(app.config.source_encoding)
outdata, _ = proc.communicate(indata)
outdata = loads(outdata)
outdata = walk(outdata, escape_link, None, None)
outdata = dumps(outdata)
args = ["pandoc", "-f", "json", "-t", "rst"]
if os.path.exists(docname + ".rst"):
args += ["-A", docname + ".rst"]
proc = Popen(args, stdin=PIPE, stdout=PIPE)
indata = source[0].encode(app.config.source_encoding)
outdata, _ = proc.communicate(outdata)
outdata = outdata.replace(".. code::", ".. code-block::")
source[0] = outdata.decode(app.config.source_encoding)
def main():
doc = pf.json.loads(pf.sys.stdin.read())
if len(pf.sys.argv) > 1:
format = pf.sys.argv[1]
else:
format = ""
metadata = doc[0]['unMeta']
args = {k: v['c'] for k, v in metadata.items()}
autoref = args.get('autoref', True)
refmanager = ReferenceManager(autoref=autoref)
altered = doc
for action in refmanager.reference_filter:
altered = pf.walk(altered, action, format, metadata)
pf.json.dump(altered, pf.sys.stdout)
def test_repair_refs_2(self):
"""Tests repair_refs() #2."""
## test.md: Eqs. {@eq:1}a and {@eq:1}b. ##
# Command: pandoc-1.17.2 test.md -f markdown+autolink_bare_uris -t json
src = eval(
r'''[{"unMeta":{}},[{"t":"Para","c":[{"t":"Str","c":"Eqs."},{"t":"Space","c":[]},{"t":"Link","c":[["",[],[]],[{"t":"Str","c":"{@eq"}],["mailto:%7B@eq",""]]},{"t":"Str","c":":1}a"},{"t":"Space","c":[]},{"t":"Str","c":"and"},{"t":"Space","c":[]},{"t":"Link","c":[["",[],[]],[{"t":"Str","c":"{@eq"}],["mailto:%7B@eq",""]]},{"t":"Str","c":":1}b."}]}]]'''
)
# Command: pandoc-1.17.2 test.md -t json
expected = eval(
r'''[{"unMeta":{}},[{"t":"Para","c":[{"t":"Str","c":"Eqs."},{"t":"Space","c":[]},{"t":"Str","c":"{"},{"t":"Cite","c":[[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"AuthorInText","c":[]},"citationPrefix":[],"citationId":"eq:1","citationHash":0}],[{"t":"Str","c":"@eq:1"}]]},{"t":"Str","c":"}a"},{"t":"Space","c":[]},{"t":"Str","c":"and"},{"t":"Space","c":[]},{"t":"Str","c":"{"},{"t":"Cite","c":[[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"AuthorInText","c":[]},"citationPrefix":[],"citationId":"eq:1","citationHash":0}],[{"t":"Str","c":"@eq:1"}]]},{"t":"Str","c":"}b."}]}]]'''
)
# Make the comparison
pandocxnos.init('1.17.2')
self.assertEqual(walk(src, repair_refs, {}, ''), expected)
pandocxnos.init(PANDOCVERSION)
def main():
# This grabs the output of `pandoc` as json file, retrieves `metadata` to
# check for draft status, and runs the document through `handle_comments`.
# Then adds any needed entries to `metadata` and passes the output back out
# to `pandoc`. This code is modeled after
# <https://github.com/aaren/pandoc-reference-filter>.
global DRAFT
document = json.loads(sys.stdin.read())
if len(sys.argv) > 1:
format = sys.argv[1]
else:
format = ''
if 'meta' in document: # new API
metadata = document['meta']
elif document[0]: # old API
metadata = document[0]['unMeta']
if 'draft' in metadata:
DRAFT = metadata['draft']['c']
else:
DRAFT = False
newDocument = document
newDocument = walk(newDocument, handle_comments, format, metadata)
# Need to ensure the LaTeX/beamer template knows if `mdframed` package is
# required (when `<!box>` has been used).
if (format == 'latex' or format == 'beamer') and USED_BOX:
MetaList = elt('MetaList', 1)
MetaInlines = elt('MetaInlines', 1)
rawinlines = [MetaInlines([RawInline('tex',
'\\RequirePackage{mdframed}')])]
if 'header-includes' in metadata:
headerIncludes = metadata['header-includes']
if headerIncludes['t'] == 'MetaList':
rawinlines += headerIncludes['c']
else: # headerIncludes['t'] == 'MetaInlines'
rawinlines += [headerIncludes]
metadata['header-includes'] = MetaList(rawinlines)
newDocument['meta'] = metadata
json.dump(newDocument, sys.stdout)
def test_repair_refs_1(self):
"""Tests repair_refs() #1."""
## test.md: {@doe:1999} ##
# Command: pandoc-1.17.2 test.md -f markdown+autolink_bare_uris -t json
src = eval(
r'''[{"unMeta":{}},[{"t":"Para","c":[{"t":"Link","c":[["",[],[]],[{"t":"Str","c":"{@doe"}],["mailto:%7B@doe",""]]},{"t":"Str","c":":1999}"}]}]]'''
)
# Command: pandoc-1.17.2 test.md -t json
expected = eval(
r'''[{"unMeta":{}},[{"t":"Para","c":[{"t":"Str","c":"{"},{"t":"Cite","c":[[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"AuthorInText","c":[]},"citationPrefix":[],"citationId":"doe:1999","citationHash":0}],[{"t":"Str","c":"@doe:1999"}]]},{"t":"Str","c":"}"}]}]]'''
)
# Make the comparison
pandocxnos.init('1.17.2')
self.assertEqual(walk(src, repair_refs, '', {}), expected)
pandocxnos.init(PANDOCVERSION)
def main():
"""Filters the document AST."""
# pylint: disable=global-statement
global PANDOCVERSION
global AttrMath
# Get the output format and document
fmt = args.fmt
doc = json.loads(STDIN.read())
# Initialize pandocxnos
# pylint: disable=too-many-function-args
PANDOCVERSION = pandocxnos.init(args.pandocversion, doc)
# Element primitives
AttrMath = elt('Math', 2)
# Chop up the doc
meta = doc['meta'] if PANDOCVERSION >= '1.18' else doc[0]['unMeta']
blocks = doc['blocks'] if PANDOCVERSION >= '1.18' else doc[1:]
# First pass
attach_attrs_math = attach_attrs_factory(Math, allow_space=True)
detach_attrs_math = detach_attrs_factory(Math)
insert_secnos = insert_secnos_factory(Math)
delete_secnos = delete_secnos_factory(Math)
altered = functools.reduce(lambda x, action: walk(x, action, fmt, meta), [
attach_attrs_math, insert_secnos, process_figs, delete_secnos,
detach_attrs_math
], blocks)
# Update the doc
if PANDOCVERSION >= '1.18':
doc['blocks'] = altered
else:
doc = doc[:1] + altered
# Dump the results
json.dump(doc, STDOUT)
# Flush stdout
STDOUT.flush()
def __apply_filters(self, json_ast, filters, path, meta=None):
"""add MarkDown extensions with Pandoc filters"""
if meta is None:
meta = []
try:
filter_ = None
fmt = self.PANDOC_FORMAT_NAME
for filter_ in filters:
# reset chapter count for next filter which may count chapters
if isinstance(meta, dict):
if "chapter" in meta:
meta["chapter"] = 1
json_ast = pandocfilters.walk(json_ast, filter_, fmt, meta)
except KeyError as e: # API clash(?)
raise errors.StructuralError(
("Incompatible Pandoc API found, while "
"applying filter %s (ABI clash?).\nKeyError: %s") %
(filter.__name__, str(e)),
path,
)
def test_process_refs_factory_6(self):
"""Tests process_refs_factory() #6."""
## test.md: See xxx{+@tbl:1}xxx. ##
# Command: pandoc test.md -t json
src = eval(r'''{"blocks":[{"t":"Para","c":[{"t":"Str","c":"See"},{"t":"Space"},{"t":"Str","c":"xxx{+"},{"t":"Cite","c":[[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"AuthorInText"},"citationPrefix":[],"citationId":"tbl:1","citationHash":0}],[{"t":"Str","c":"@tbl:1"}]]},{"t":"Str","c":"}xxx."}]}],"pandoc-api-version":[1,17,5,1],"meta":{}}''')
# Check src against current pandoc
md = subprocess.Popen(('echo', 'See xxx{+@tbl:1}xxx.'), stdout=subprocess.PIPE)
output = eval(subprocess.check_output(
'pandoc -t json'.split(), stdin=md.stdout).strip())
self.assertEqual(src, output)
# Hand-coded (braces stripped, modifier extracted, attributes added)
expected = eval(r'''{"meta":{},"blocks":[{"t":"Para","c":[{"t":"Str","c":"See"},{"t":"Space"},{"t":"Str","c":"xxx"},{"t":"Cite","c":[["",[],[["modifier","+"]]],[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"AuthorInText"},"citationPrefix":[],"citationId":"tbl:1","citationHash":0}],[{"t":"Str","c":"@tbl:1"}]]},{"t":"Str","c":"xxx."}]}],"pandoc-api-version":[1,17,5,1]}''')
# Make the comparison
process_refs = process_refs_factory(['tbl:1'])
self.assertEqual(walk(src, process_refs, '', {}), expected)
def test_process_refs_factory_7(self):
"""Tests process_refs_factory() #7."""
## test.md: See [+@eq:1]. ##
# Command: pandoc test.md -t json
src = eval(r'''{"blocks":[{"t":"Para","c":[{"t":"Str","c":"See"},{"t":"Space"},{"t":"Cite","c":[[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"NormalCitation"},"citationPrefix":[{"t":"Str","c":"+"}],"citationId":"eq:1","citationHash":0}],[{"t":"Str","c":"[+@eq:1]"}]]},{"t":"Str","c":"."}]}],"pandoc-api-version":[%s],"meta":{}}'''%PANDOC_API_VERSION)
# Check src against current pandoc
md = subprocess.Popen(('echo', 'See [+@eq:1].'), stdout=subprocess.PIPE)
output = eval(subprocess.check_output(
'pandoc -t json'.split(), stdin=md.stdout).strip())
self.assertEqual(src, output)
# Hand-coded (modifier extracted, attributes added)
expected = eval(r'''{"meta":{},"blocks":[{"t":"Para","c":[{"t":"Str","c":"See"},{"t":"Space"},{"t":"Cite","c":[["",[],[["modifier","+"]]],[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"NormalCitation"},"citationPrefix":[],"citationId":"eq:1","citationHash":0}],[{"t":"Str","c":"[+@eq:1]"}]]},{"t":"Str","c":"."}]}],"pandoc-api-version":[%s]}'''%PANDOC_API_VERSION)
# Make the comparison
process_refs = process_refs_factory(None, ['eq:1'], 0)
self.assertEqual(walk(src, process_refs, '', {}), expected)
def update_math(j, equations, use_png=True):
equation_index = [0]
def walker(key, value, format, meta):
if key == 'Math':
equation = equations[equation_index[0]]
equation_index[0] += 1
if use_png:
image_path = equation.png_path
geometry = equation.png_geometry
zoom = png_zoom / png_zoom_fudge
zoom_depth = png_zoom
depth_fudge = png_depth_fudge
mime = 'image/png'
else:
image_path = equation.svg_path
geometry = equation.svg_geometry
zoom = 1
zoom_depth = 1
depth_fudge = 0
mime = 'image/svg'
new_image_path = relocate_autogenerated_resource(image_path, mime)
options = {}
if equation.inline:
options['classes'] = ['inlinemath', 'math']
else:
options['classes'] = ['displaymath', 'math']
options['alt_text'] = equation.alt_text()
options['attrs'] = [[
'style',
'vertical-align: -{}px'.format((geometry[2] / zoom_depth) -
depth_fudge)
], ['width', str(geometry[0] / zoom) + 'px'
], ['height',
str((geometry[1] + geometry[2]) / zoom) + 'px']]
return create_image_element(new_image_path, **options)
return pf.walk(j, walker, None, None)
def test_detach_attrs_factory(self):
"""Tests filter_attrs_factory()."""
detach_attrs_math = detach_attrs_factory(Math)
## Use 'expected' from test_attach_attrs_factory ##
src = eval(r'''{"meta":{},"blocks":[{"t":"Para","c":[{"t":"Math","c":[["eq:1",[],[["tag","B.1"]]],{"t":"DisplayMath"}," y = f(x) "]}]}],"pandoc-api-version":[%s]}'''%PANDOC_API_VERSION)
# test.md: $$ y = f(x) $$
# Command: pandoc test.md -t json
expected = eval(r'''{"blocks":[{"t":"Para","c":[{"t":"Math","c":[{"t":"DisplayMath"}," y = f(x) "]}]}],"pandoc-api-version":[%s],"meta":{}}'''%PANDOC_API_VERSION)
# Check expected against current pandoc
md = subprocess.Popen(('echo', '$$ y = f(x) $$'),
stdout=subprocess.PIPE)
output = eval(subprocess.check_output(
'pandoc -t json'.split(), stdin=md.stdout).strip())
self.assertEqual(expected, output)
# Make the comparison
self.assertEqual(walk(src, detach_attrs_math, '', {}), expected)
def test_attach_attrs_factory(self):
"""Tests attach_attrs_math()."""
attach_attrs_math = attach_attrs_factory(Math, 0, allow_space=True)
## test.md: $$ y = f(x) $${#eq:1 tag="B.1"} ##
# Command: pandoc test.md -t json
src = eval(r'''{"blocks":[{"t":"Para","c":[{"t":"Math","c":[{"t":"DisplayMath"}," y = f(x) "]},{"t":"Str","c":"{#eq:1"},{"t":"Space"},{"t":"Str","c":"tag="},{"t":"Quoted","c":[{"t":"DoubleQuote"},[{"t":"Str","c":"B.1"}]]},{"t":"Str","c":"}"}]}],"pandoc-api-version":[%s],"meta":{}}'''%PANDOC_API_VERSION)
# Check src against current pandoc
md = subprocess.Popen(('echo', '$$ y = f(x) $${#eq:1 tag="B.1"}'),
stdout=subprocess.PIPE)
output = eval(subprocess.check_output(
'pandoc -t json'.split(), stdin=md.stdout).strip())
self.assertEqual(src, output)
# Hand-coded (attributes deleted)
expected = eval(r'''{"meta":{},"blocks":[{"t":"Para","c":[{"t":"Math","c":[["eq:1",[],[["tag","B.1"]]],{"t":"DisplayMath"}," y = f(x) "]}]}],"pandoc-api-version":[%s]}'''%PANDOC_API_VERSION)
# Make the comparison
self.assertEqual(walk(src, attach_attrs_math, '', {}), expected)
def test_use_refs_factory_7(self):
"""Tests use_refs_factory() #7."""
## test.md: {+@tbl:one}-{@tbl:four} provide the data. ##
# Command: pandoc test.md -t json
src = eval(r'''{"blocks":[{"t":"Para","c":[{"t":"Str","c":"{+"},{"t":"Cite","c":[[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"AuthorInText"},"citationPrefix":[],"citationId":"tbl:one","citationHash":0}],[{"t":"Str","c":"@tbl:one"}]]},{"t":"Str","c":"}-{"},{"t":"Cite","c":[[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"AuthorInText"},"citationPrefix":[],"citationId":"tbl:four","citationHash":0}],[{"t":"Str","c":"@tbl:four"}]]},{"t":"Str","c":"}"},{"t":"Space"},{"t":"Str","c":"provide"},{"t":"Space"},{"t":"Str","c":"the"},{"t":"Space"},{"t":"Str","c":"data."}]}],"pandoc-api-version":[%s],"meta":{}}'''%PANDOC_API_VERSION)
# Check src against current pandoc
md = subprocess.Popen(
('echo', '{+@tbl:one}-{@tbl:four} provide the data.'),
stdout=subprocess.PIPE)
output = eval(subprocess.check_output(
'pandoc -t json'.split(), stdin=md.stdout).strip())
self.assertEqual(src, output)
# Hand-coded
expected = eval(r'''{"meta":{},"blocks":[{"t":"Para","c":[{"t":"Cite","c":[["",[],[["modifier","+"]]],[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"AuthorInText"},"citationPrefix":[],"citationId":"tbl:one","citationHash":0}],[{"t":"Str","c":"@tbl:one"}]]},{"t":"Str","c":"-"},{"t":"Cite","c":[["",[],[]],[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"AuthorInText"},"citationPrefix":[],"citationId":"tbl:four","citationHash":0}],[{"t":"Str","c":"@tbl:four"}]]},{"t":"Space"},{"t":"Str","c":"provide"},{"t":"Space"},{"t":"Str","c":"the"},{"t":"Space"},{"t":"Str","c":"data."}]}],"pandoc-api-version":[%s]}'''%PANDOC_API_VERSION)
# Make the comparison
process_refs = process_refs_factory(None, ['tbl:one', 'tbl:four'], 0)
self.assertEqual(walk(src, process_refs, '', {}), expected)
def test_process_refs_factory_9(self):
"""Tests process_refs_factory() #9."""
## test.md: {@fig:1}:
# See previous unit test
# Command: pandoc-1.15.2 test.md -t json
src = eval(r'''[{"unMeta":{}},[{"t":"Para","c":[{"t":"Str","c":"{"},{"t":"Cite","c":[[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"AuthorInText","c":[]},"citationPrefix":[],"citationId":"fig:1","citationHash":0}],[{"t":"Str","c":"@fig:1"}]]},{"t":"Str","c":"}:"}]}]]''')
# Check against pandoc-1.15.2
md = subprocess.Popen(('echo', '{@fig:1}:'), stdout=subprocess.PIPE)
output = eval(subprocess.check_output(
(PANDOC1p15 + ' -t json').split(), stdin=md.stdout).strip())
self.assertEqual(src, output)
# Hand-coded
expected = eval(r'''[{"unMeta":{}},[{"t":"Para","c":[{"t":"Cite","c":[["",[],[]],[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"AuthorInText","c":[]},"citationPrefix":[],"citationId":"fig:1","citationHash":0}],[{"t":"Str","c":"@fig:1"}]]},{"t":"Str","c":":"}]}]]''')
# Make the comparison
process_refs = process_refs_factory(None, ['fig:1'], 0)
self.assertEqual(walk(src, process_refs, {}, ''), expected)
def test_process_refs_factory_2(self):
"""Tests process_refs_factory() #2."""
## test.md: (@eq:one) ##
# Command: pandoc test.md -t json
src = eval(
r'''{"blocks":[{"t":"Para","c":[{"t":"Str","c":"("},{"t":"Cite","c":[[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"AuthorInText"},"citationPrefix":[],"citationId":"eq:one","citationHash":0}],[{"t":"Str","c":"@eq:one"}]]},{"t":"Str","c":")"}]}],"pandoc-api-version":[%s],"meta":{}}'''%PANDOC_API_VERSION)
# Check src against current pandoc
md = subprocess.Popen(('echo', '(@eq:one)'), stdout=subprocess.PIPE)
output = eval(subprocess.check_output(
'pandoc -t json'.split(),
stdin=md.stdout).strip())
self.assertEqual(src, output)
# Hand-coded (attributes added)
expected = eval(r'''{"blocks":[{"t":"Para","c":[{"t":"Str","c":"("},{"t":"Cite","c":[["",[],[]],[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"AuthorInText"},"citationPrefix":[],"citationId":"eq:one","citationHash":0}],[{"t":"Str","c":"@eq:one"}]]},{"t":"Str","c":")"}]}],"pandoc-api-version":[%s],"meta":{}}'''%PANDOC_API_VERSION)
# Make the comparison
process_refs = process_refs_factory(None, ['eq:one'], 0)
self.assertEqual(walk(src, process_refs, '', {}), expected)
def test_attach_attrs_factory(self):
"""Tests attach_attrs_math()."""
attach_attrs_math = attach_attrs_factory(Math, allow_space=True)
## test.md: $$ y = f(x) $${#eq:1 tag="B.1"} ##
# Command: pandoc test.md -t json
src = eval(r'''{"blocks":[{"t":"Para","c":[{"t":"Math","c":[{"t":"DisplayMath"}," y = f(x) "]},{"t":"Str","c":"{#eq:1"},{"t":"Space"},{"t":"Str","c":"tag="},{"t":"Quoted","c":[{"t":"DoubleQuote"},[{"t":"Str","c":"B.1"}]]},{"t":"Str","c":"}"}]}],"pandoc-api-version":[1,17,5,1],"meta":{}}''')
# Check src against current pandoc
md = subprocess.Popen(('echo', '$$ y = f(x) $${#eq:1 tag="B.1"}'),
stdout=subprocess.PIPE)
output = eval(subprocess.check_output(
'pandoc -t json'.split(), stdin=md.stdout).strip())
self.assertEqual(src, output)
# Hand-coded (attributes deleted)
expected = eval(r'''{"meta":{},"blocks":[{"t":"Para","c":[{"t":"Math","c":[["eq:1",[],[["tag","B.1"]]],{"t":"DisplayMath"}," y = f(x) "]}]}],"pandoc-api-version":[1,17,5,1]}''')
# Make the comparison
self.assertEqual(walk(src, attach_attrs_math, '', {}), expected)
def test_process_refs_factory_9(self):
"""Tests process_refs_factory() #9."""
## test.md: {@fig:1}:
# See previous unit test
# Command: pandoc-1.15.2 test.md -t json
src = eval(r'''[{"unMeta":{}},[{"t":"Para","c":[{"t":"Str","c":"{"},{"t":"Cite","c":[[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"AuthorInText","c":[]},"citationPrefix":[],"citationId":"fig:1","citationHash":0}],[{"t":"Str","c":"@fig:1"}]]},{"t":"Str","c":"}:"}]}]]''')
# Check against pandoc-1.15.2
md = subprocess.Popen(('echo', '{@fig:1}:'), stdout=subprocess.PIPE)
output = eval(subprocess.check_output(
(PANDOC1p15 + ' -t json').split(), stdin=md.stdout).strip())
self.assertEqual(src, output)
# Hand-coded
expected = eval(r'''[{"unMeta":{}},[{"t":"Para","c":[{"t":"Cite","c":[["",[],[]],[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"AuthorInText","c":[]},"citationPrefix":[],"citationId":"fig:1","citationHash":0}],[{"t":"Str","c":"@fig:1"}]]},{"t":"Str","c":":"}]}]]''')
# Make the comparison
process_refs = process_refs_factory(['fig:1'])
self.assertEqual(walk(src, process_refs, {}, ''), expected)
def test_detach_attrs_factory(self):
"""Tests filter_attrs_factory()."""
detach_attrs_math = detach_attrs_factory(Math)
## Use 'expected' from test_attach_attrs_factory ##
src = eval(r'''{"meta":{},"blocks":[{"t":"Para","c":[{"t":"Math","c":[["eq:1",[],[["tag","B.1"]]],{"t":"DisplayMath"}," y = f(x) "]}]}],"pandoc-api-version":[1,17,5,1]}''')
# test.md: $$ y = f(x) $$
# Command: pandoc test.md -t json
expected = eval(r'''{"blocks":[{"t":"Para","c":[{"t":"Math","c":[{"t":"DisplayMath"}," y = f(x) "]}]}],"pandoc-api-version":[1,17,5,1],"meta":{}}''')
# Check expected against current pandoc
md = subprocess.Popen(('echo', '$$ y = f(x) $$'),
stdout=subprocess.PIPE)
output = eval(subprocess.check_output(
'pandoc -t json'.split(), stdin=md.stdout).strip())
self.assertEqual(expected, output)
# Make the comparison
self.assertEqual(walk(src, detach_attrs_math, '', {}), expected)
def test_use_refs_factory_7(self):
"""Tests use_refs_factory() #7."""
## test.md: {+@tbl:one}-{@tbl:four} provide the data. ##
# Command: pandoc test.md -t json
src = eval(r'''{"blocks":[{"t":"Para","c":[{"t":"Str","c":"{+"},{"t":"Cite","c":[[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"AuthorInText"},"citationPrefix":[],"citationId":"tbl:one","citationHash":0}],[{"t":"Str","c":"@tbl:one"}]]},{"t":"Str","c":"}-{"},{"t":"Cite","c":[[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"AuthorInText"},"citationPrefix":[],"citationId":"tbl:four","citationHash":0}],[{"t":"Str","c":"@tbl:four"}]]},{"t":"Str","c":"}"},{"t":"Space"},{"t":"Str","c":"provide"},{"t":"Space"},{"t":"Str","c":"the"},{"t":"Space"},{"t":"Str","c":"data."}]}],"pandoc-api-version":[1,17,5,1],"meta":{}}''')
# Check src against current pandoc
md = subprocess.Popen(
('echo', '{+@tbl:one}-{@tbl:four} provide the data.'),
stdout=subprocess.PIPE)
output = eval(subprocess.check_output(
'pandoc -t json'.split(), stdin=md.stdout).strip())
self.assertEqual(src, output)
# Hand-coded
expected = eval(r'''{"meta":{},"blocks":[{"t":"Para","c":[{"t":"Cite","c":[["",[],[["modifier","+"]]],[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"AuthorInText"},"citationPrefix":[],"citationId":"tbl:one","citationHash":0}],[{"t":"Str","c":"@tbl:one"}]]},{"t":"Str","c":"-"},{"t":"Cite","c":[["",[],[]],[{"citationSuffix":[],"citationNoteNum":0,"citationMode":{"t":"AuthorInText"},"citationPrefix":[],"citationId":"tbl:four","citationHash":0}],[{"t":"Str","c":"@tbl:four"}]]},{"t":"Space"},{"t":"Str","c":"provide"},{"t":"Space"},{"t":"Str","c":"the"},{"t":"Space"},{"t":"Str","c":"data."}]}],"pandoc-api-version":[1,17,5,1]}''')
# Make the comparison
process_refs = process_refs_factory(['tbl:one', 'tbl:four'])
self.assertEqual(walk(src, process_refs, '', {}), expected)
def test_conentfilter_create_back_links(self):
"""meta contains the key 'image_id_back' with the chapter number '3' as value.
ast contains a RawBlock which includes the id in a paragraph: 'image_id'.
The paragraph should contain the backlink with the target 'image_id_back'
after the filter."""
ast = {
"blocks": [
{
"t": "RawBlock",
"c": [
"html",
'<p id="image_id" class="header" data-level="2">Image</p>',
],
}
]
}
meta = {"ids": {"image_id_back": 3}}
ast = pandocfilters.walk(
ast, pandoc.contentfilter.epub_create_back_links, "epub", meta
)
self.assertTrue(
'<a href=\\"ch003.xhtml#image_id_back\\">Image</a>' in json.dumps(ast)
)
def __apply_filters(self, json_ast, file_path):
"""Process MAGSBS-specific markdown extensions using Pandoc filters.
`file_path` is relative to the current directory and points to the file being
converted."""
try:
filter_ = None
fmt = self.PANDOC_FORMAT_NAME
for filter_ in self.CONTENT_FILTERS:
json_ast = pandocfilters.walk(json_ast, filter_, fmt, [])
except KeyError as e: # API clash(?)
raise errors.StructuralError(
("Incompatible Pandoc API found, while "
"applying filter %s (ABI clash?).\nKeyError: %s") %
(filter.__name__, str(e)),
file_path,
)
# use GleeTeX if configured
if self.get_profile() is ConversionProfile.Blind:
try:
# this alters the Pandoc document AST -- no return required
contentfilter.convert_formulas(file_path, "bilder", json_ast)
except errors.MathError as err:
HtmlConverter.__handle_error(file_path, err)
def __convert_document(self, path, file_cache, converter, conf):
"""Convert a document by a given path. It takes a converter which takes
actual care of the underlying format. The filecache caches the list of
files in the lecture. The list of files within a lecture is required to
build navigation links.
This function also inserts a page navigation bar to navigate between
chapters and the table of contents."""
# if output file name exists and is newer than the original, it doesn need to be converted again
if not converter.needs_update(path):
return
with open(path, 'r', encoding='utf-8') as f:
document = f.read()
if not document:
return # skip empty documents
if self.IS_CHAPTER.search(os.path.basename(path)):
try:
nav_start, nav_end = generate_page_navigation(
path, file_cache,
mparser.extract_page_numbers_from_par(
mparser.file2paragraphs(document)))
except errors.FormattingError as e:
e.path = path
raise e
document = '{}\n\n{}\n\n{}\n'.format(nav_start, document, nav_end)
json_ast = self.load_json(document)
# add MarkDown extensions with Pandoc filters
try:
filter = None
for filter in Pandoc.CONTENT_FILTERS:
json_ast = pandocfilters.walk(json_ast, filter,
conf[MetaInfo.Format], [])
converter.convert(json_ast, contentfilter.get_title(json_ast),
path)
except KeyError as e: # API clash(?)
raise errors.StructuralError(("Incompatible Pandoc API found, while "
"applying filter %s (ABI clash?).\nKeyError: %s") % \
(filter.__name__, str(e)), path)
def filter_in(self, instring):
def _filter(key, value, format, meta):
# remove HTML specific stuff
if key == "Link":
# remove relative path prefix and .html suffix
internal, [href, text] = value
if href.endswith(".html"):
href = href[:-5]
# FIXME: this stupid detection will not work
# or just leave the full path?
# if href.startswith("./"):
# href = href[2:]
# elif href.startswith("../"):
# href = href[3:]
return pandocfilters.Link(internal, [href, text])
# TODO: it's implemented in filter_pre, but could be useful anyway since html may not be
# the only input format; the most generic way should be implemented
# if key == "Header":
# level, classes, internal = value
#
# # record top level
# if self.heading_top_level == 0:
# self.heading_top_level = level
#
# # ensure we start from h1 in output
# if level > self.heading_top_level:
# level -= self.heading_top_level
#
# return pandocfilters.Header(level, classes, internal)
doc = json.loads(instring)
altered = pandocfilters.walk(doc, _filter, self.format,
doc[0]["unMeta"])
return json.dumps(altered)
def deemph(key, val, fmt, meta):
if key == 'Emph':
return walk(val, caps, fmt, meta)
#!/usr/bin/python
import sys, pprint, json
pp = pprint.PrettyPrinter(indent=4)
from pandocfilters import walk
code_blocks = []
def extract(key, value, fmt, meta):
if (key == 'CodeBlock'):
[[ident,classes,keyvals], code] = value
value = [[ident,classes,[['test_id',str(len(code_blocks))]]],code]
code_blocks.append({'c': value, 't': 'CodeBlock'})
if __name__ == "__main__":
doc = json.loads(sys.stdin.read())
if len(sys.argv) > 1:
format = sys.argv[1]
else:
format = ""
walk(doc, extract, format, doc[0]['unMeta'])
altered = [{'unMeta': {}}, code_blocks]
json.dump(altered, sys.stdout)
# for CHP in `cat chapters.txt`; do pandoc --filter ./dev/extract-codeblocks.py --to markdown md/$CHP.md -o code/$CHP.md; done
def extract_contents(blocks):
for block in blocks:
if block["t"] == "Div":
if block["c"][0][0] == "content":
for child in block["c"][1]:
yield child
else:
for result in extract_contents(block["c"][1]):
yield result
def remove_moin(key, value, format, meta):
if key == "Span" and "anchor" in value[0][1]:
return []
if key == "Div" and "table-of-contents" in value[0][1]:
return []
if key == "Link":
if "nonexistent" in value[0][1]:
return value[1]
value[0][1] = [c for c in value[0][1] if c not in ("http", "https")]
return {"t": key, "c": value}
if __name__ == "__main__":
doc = json.load(codecs.getreader("utf-8")(sys.stdin))
doc["blocks"] = list(extract_contents(doc["blocks"]))
doc = walk(doc, remove_moin, "", {})
json.dump(doc, codecs.getwriter("utf-8")(sys.stdout))
change all \ref{<something>} to the correct equation number,
based on the labelMap.
In the third and last pass we process extra math commands.
"""
STDIN = io.TextIOWrapper(sys.stdin.buffer, 'utf-8', 'strict')
STDOUT = io.TextIOWrapper(sys.stdout.buffer, 'utf-8', 'strict')
STDERR = io.TextIOWrapper(sys.stderr.buffer, 'utf-8', 'strict')
fmt = "markdown"
doc = json.loads(STDIN.read())
meta = doc['meta']
blocks = doc['blocks']
# first pass
altered = functools.reduce(lambda x, action: pf.walk(x, action, fmt, meta),
[
createLabelMapAndAddEqNum,
], blocks)
eprint(labelMap)
# second pass
altered = functools.reduce(lambda x, action: pf.walk(x, action, fmt, meta),
[
applyLabelMapToText,
], altered)
# update the document
doc['blocks'] = altered
if key == 'Str':
return Str(value.upper())
def liftHeaders(key, value, fmt, meta):
if key == 'Header':
level, attrs, content = value
level -= 1
if level == 1:
content = walk(content, upcase, fmt, meta)
return Header(level, attrs, content)
_man_link_re = re.compile(r'^(#|(?:\./)?[^/]+\.\d\.html$)')
def dropLinks(key, value, fmt, meta):
if key == 'Link':
text, link = value
url, title = link
if _man_link_re.match(url) is not None:
return text
doc = json.load(sys.stdin, object_pairs_hook=OrderedDict)
doc = liftTitle(doc)
doc = walk(doc, liftHeaders, 'man', doc[0]['unMeta'])
doc = walk(doc, dropLinks, 'man', doc[0]['unMeta'])
json.dump(doc, sys.stdout)
def main():
"""Filters the document AST."""
# pylint: disable=global-statement
global PANDOCVERSION
global Image
# Get the output format and document
fmt = args.fmt
doc = json.loads(STDIN.read())
# Initialize pandocxnos
# pylint: disable=too-many-function-args
PANDOCVERSION = pandocxnos.init(args.pandocversion, doc)
# Element primitives
if PANDOCVERSION < '1.16':
Image = elt('Image', 2)
# Chop up the doc
meta = doc['meta'] if PANDOCVERSION >= '1.18' else doc[0]['unMeta']
blocks = doc['blocks'] if PANDOCVERSION >= '1.18' else doc[1:]
# Process the metadata variables
process(meta)
# First pass
attach_attrs_image = attach_attrs_factory(Image,
extract_attrs=_extract_attrs)
detach_attrs_image = detach_attrs_factory(Image)
insert_secnos = insert_secnos_factory(Image)
delete_secnos = delete_secnos_factory(Image)
filters = [insert_secnos, process_figures, delete_secnos] \
if PANDOCVERSION >= '1.16' else \
[attach_attrs_image, insert_secnos, process_figures,
delete_secnos, detach_attrs_image]
altered = functools.reduce(lambda x, action: walk(x, action, fmt, meta),
filters, blocks)
# Second pass
process_refs = process_refs_factory(references.keys())
replace_refs = replace_refs_factory(references, cleveref_default, plusname,
starname, 'figure')
altered = functools.reduce(lambda x, action: walk(x, action, fmt, meta),
[repair_refs, process_refs, replace_refs],
altered)
# Insert supporting TeX
if fmt == 'latex':
rawblocks = []
if has_unnumbered_figures:
rawblocks += [
RawBlock('tex', TEX0),
RawBlock('tex', TEX1),
RawBlock('tex', TEX2)
]
if captionname != 'Figure':
rawblocks += [RawBlock('tex', TEX3 % captionname)]
insert_rawblocks = insert_rawblocks_factory(rawblocks)
altered = functools.reduce(
lambda x, action: walk(x, action, fmt, meta), [insert_rawblocks],
altered)
# Update the doc
if PANDOCVERSION >= '1.18':
doc['blocks'] = altered
else:
doc = doc[:1] + altered
# Dump the results
json.dump(doc, STDOUT)
# Flush stdout
STDOUT.flush()
def scaps(key, val, fmt, meta):
if fmt == "ms":
if key == 'SmallCaps':
return walk(val, upstr, fmt, meta)
if k == 'Header':
return structure_header(v, f, m)
# Supported syntax:
# [ipe]: start a new in-paragraph enumeration, use \item for the individual items
# [/ipe]: end an in-paragraph enumeration
def filter_paraenum(k, v, f, m):
if k == 'Str':
value = v
if value.startswith('[') and value.endswith(']'):
content = value[1:-1]
if content == 'ipe':
return li('\\begin{inparaenum}[(1)]')
elif content == '/ipe':
return li('\\end{inparaenum}')
if __name__ == '__main__':
doc = json.loads(sys.stdin.read())
if len(sys.argv) > 1:
format = sys.argv[1]
else:
format = ''
doc = pf.walk(doc, filter_structure, format, doc[0]['unMeta'])
doc = pf.walk(doc, filter_paraenum, format, doc[0]['unMeta'])
doc = pf.walk(doc, ImageWalker().filter, format, doc[0]['unMeta'])
json.dump(doc, sys.stdout)
def f(key, val, fmt, meta):
if key == 'Table':
rows = val[4]
new_rows = walk(rows, g, fmt, meta)
return Table(val[0], val[1], val[2], val[3], new_rows)
def transform(doc, meta, actions):
altered = doc
for action in actions:
altered = walk(altered, action, format, meta)
return altered
import json
import sys
import re
from collections import OrderedDict
import pandocfilters
from pandocfilters import walk, Link
MetaString = pandocfilters.elt('MetaString', 1)
_man_link_re = re.compile(r'^man:(.*)\((\d)\)')
def interpretManLinks(key, value, fmt, meta):
if key == 'Link':
text, link = value
url, title = link
match = _man_link_re.match(url)
if match is not None:
html_url = "%s.%s.html" % (match.group(1), match.group(2))
return Link(text, (html_url, title))
else:
return None
doc = json.load(sys.stdin, object_pairs_hook=OrderedDict)
doc = walk(doc, interpretManLinks, 'man', doc[0]['unMeta'])
json.dump(doc, sys.stdout)
def main(stdin=STDIN, stdout=STDOUT, stderr=STDERR):
"""Filters the document AST."""
# pylint: disable=global-statement
global PANDOCVERSION
global Image
# Read the command-line arguments
parser = argparse.ArgumentParser(\
description='Pandoc figure numbers filter.')
parser.add_argument(\
'--version', action='version',
version='%(prog)s {version}'.format(version=__version__))
parser.add_argument('fmt')
parser.add_argument('--pandocversion', help='The pandoc version.')
args = parser.parse_args()
# Get the output format and document
fmt = args.fmt
doc = json.loads(stdin.read())
# Initialize pandocxnos
PANDOCVERSION = pandocxnos.init(args.pandocversion, doc)
# Element primitives
if PANDOCVERSION < '1.16':
Image = elt('Image', 2)
# Chop up the doc
meta = doc['meta'] if PANDOCVERSION >= '1.18' else doc[0]['unMeta']
blocks = doc['blocks'] if PANDOCVERSION >= '1.18' else doc[1:]
# Process the metadata variables
process(meta)
# First pass
replace = PANDOCVERSION >= '1.16'
attach_attrs_image = attach_attrs_factory(Image,
extract_attrs=_extract_attrs,
replace=replace)
detach_attrs_image = detach_attrs_factory(Image)
insert_secnos_img = insert_secnos_factory(Image)
delete_secnos_img = delete_secnos_factory(Image)
insert_secnos_div = insert_secnos_factory(Div)
delete_secnos_div = delete_secnos_factory(Div)
altered = functools.reduce(lambda x, action: walk(x, action, fmt, meta), [
attach_attrs_image, insert_secnos_img, insert_secnos_div,
process_figures, delete_secnos_img, delete_secnos_div,
detach_attrs_image
], blocks)
# Second pass
process_refs = process_refs_factory(LABEL_PATTERN, targets.keys())
replace_refs = replace_refs_factory(targets, cleveref, False,
plusname if not capitalise \
or plusname_changed else
[name.title() for name in plusname],
starname)
attach_attrs_span = attach_attrs_factory(Span, replace=True)
altered = functools.reduce(
lambda x, action: walk(x, action, fmt, meta),
[repair_refs, process_refs, replace_refs, attach_attrs_span], altered)
if fmt in ['latex', 'beamer']:
add_tex(meta)
# Update the doc
if PANDOCVERSION >= '1.18':
doc['blocks'] = altered
else:
doc = doc[:1] + altered
# Dump the results
json.dump(doc, stdout)
# Flush stdout
stdout.flush()
def f(key, val, fmt, meta):
if key == 'Table':
rows = val[4]
new_rows = walk(rows, g, fmt, meta)
return Table(*val[0:4], new_rows)
def replace_fragments(block):
"""Replace a designated fragment with a stored fragment."""
def _iter():
for line in block.splitlines():
match = FRAGMENT_RE.match(line)
if match:
fragment_name = match.group('fragment_name')
indentation = match.group('indentation')
logger.debug("Found 'fragment' %s in %s", fragment_name, path)
fragment = fragments[fragment_name]
yield from indent_fragment(fragment, indentation)
else:
yield line
return "\n".join(_iter())
if __name__ == "__main__":
print("This will appear inside the __main__ if block")
tree = json.loads(stdin.read())
walk(tree, action, '', {})
for fragment, content in fragments.items():
for path, content in files.items():
content = list(map(replace_fragments, content))
files[path] = content
for path, content in files.items():
with open(path, 'w') as fd:
logger.debug("Finalizing file %s", path)
fd.write("\n\n\n".join(content))