def transform_document(self, document):
"""Apply transforms to the given ``document``.
Args:
document: Document tree.
See Also:
:attr:`transforms`.
"""
if self.transforms:
transformer = Transformer(document)
transformer.add_transforms(self.transforms)
transformer.apply_transforms()
def process_text(self, input_text):
warning_stream = io.StringIO()
settings_overrides = {}
settings_overrides['warning_stream'] = warning_stream
# Parse the input text using default settings
settings = OptionParser(components=(Parser,)).get_default_values()
parser = Parser()
document = new_document('rstinfo', settings)
parser.parse(input_text, document)
# Transform the parse tree so that the bibliographic data is
# is promoted from a mere field list to a `docinfo` node
t = Transformer(document)
t.add_transforms([frontmatter.DocTitle, frontmatter.DocInfo])
t.apply_transforms()
info = {}
# Process individual nodes which are not part of docinfo.
single_nodes = [
docutils.nodes.title,
docutils.nodes.subtitle,
]
for node in single_nodes:
for doc in document.traverse(node):
if not len(doc.children) == 1:
msg = "Expected node %s to only have 1 child."
raise dexy.exceptions.InternalDexyProblem(msg % node)
info[doc.tagname] = doc.children[0].astext()
# Find the `docinfo` node and extract its children. Non-standard
# bibliographic fields will have the `tagname` 'field' and two
# children, the name and the value. Standard fields simply keep
# the name as the `tagname`.
for doc in document.traverse(docutils.nodes.docinfo):
for element in doc.children:
if element.tagname == 'field':
name, value = element.children
name, value = name.astext(), value.astext()
else:
name, value = element.tagname, element.astext()
info[name] = value
self.log_debug("found info:\n%s\n" % info)
self.update_all_args(info)
self.log_debug("docutils warnings:\n%s\n" % warning_stream.getvalue())
return input_text
def apply_transforms(self):
# type: () -> None
if isinstance(self.document, nodes.document):
Transformer.apply_transforms(self)
else:
# wrap the target node by document node during transforming
try:
document = new_document('')
if self.env:
document.settings.env = self.env
document += self.document
self.document = document
Transformer.apply_transforms(self)
finally:
self.document = self.document[0]
def apply_transforms(self):
# type: () -> None
if isinstance(self.document, nodes.document):
Transformer.apply_transforms(self)
else:
# wrap the target node by document node during transforming
try:
document = new_document('')
if self.env:
document.settings.env = self.env
document += self.document
self.document = document
Transformer.apply_transforms(self)
finally:
self.document = self.document[0]
def test_parser(sphinx_run, file_regression):
sphinx_run.build()
# print(sphinx_run.status())
assert sphinx_run.warnings() == ""
document = sphinx_run.get_doctree()
transformer = Transformer(document)
transformer.add_transforms([CellOutputsToNodes, transform.PasteNodesToDocutils])
transformer.apply_transforms()
file_regression.check(document.pformat(), extension=".xml")
glue_domain = NbGlueDomain.from_env(sphinx_run.app.env)
assert set(glue_domain.cache) == {
"key_text1",
"key_float",
"key_undisplayed",
"key_df",
"key_plt",
"sym_eq",
}
glue_domain.clear_doc("with_glue")
assert glue_domain.cache == {}
assert glue_domain.docmap == {}
def test_parser(mock_document, get_notebook, file_regression):
parser = NotebookParser()
parser.parse(get_notebook("with_glue.ipynb").read_text(), mock_document)
transformer = Transformer(mock_document)
transformer.add_transforms(
[CellOutputsToNodes, transform.PasteNodesToDocutils])
transformer.apply_transforms()
file_regression.check(mock_document.pformat(), extension=".xml")
glue_domain = NbGlueDomain.from_env(mock_document.document.settings.env)
assert set(glue_domain.cache) == {
"key_text1",
"key_float",
"key_undisplayed",
"key_df",
"key_plt",
"sym_eq",
}
glue_domain.clear_doc(mock_document.settings.env.docname)
assert glue_domain.cache == {}
assert glue_domain.docmap == {}
def apply_transforms(self):
"""Apply transforms on current document tree."""
if self.transforms:
transformer = Transformer(self.definition.doc_block.document)
transformer.add_transforms(self.transforms)
transformer.apply_transforms()