def extract_bibliographic(self, field_list):
docinfo = nodes.docinfo()
bibliofields = self.language.bibliographic_fields
labels = self.language.labels
topics = {"dedication": None, "abstract": None}
for field in field_list:
try:
name = field[0][0].astext()
normedname = nodes.fully_normalize_name(name)
if not (
len(field) == 2
and normedname in bibliofields
and self.check_empty_biblio_field(field, name)
):
raise TransformError
canonical = bibliofields[normedname]
biblioclass = self.biblio_nodes[canonical]
if issubclass(biblioclass, nodes.TextElement):
if not self.check_compound_biblio_field(field, name):
raise TransformError
utils.clean_rcs_keywords(
field[1][0], self.rcs_keyword_substitutions
)
docinfo.append(biblioclass("", "", *field[1][0]))
elif issubclass(biblioclass, nodes.authors):
self.extract_authors(field, name, docinfo)
elif issubclass(biblioclass, nodes.topic):
if topics[canonical]:
field[-1] += self.document.reporter.warning(
'There can only be one "%s" field.' % name, base_node=field
)
raise TransformError
title = nodes.title(name, labels[canonical])
title[0].rawsource = labels[canonical]
topics[canonical] = biblioclass(
"", title, classes=[canonical], *field[1].children
)
else:
docinfo.append(biblioclass("", *field[1].children))
except TransformError:
if len(field[-1]) == 1 and isinstance(field[-1][0], nodes.paragraph):
utils.clean_rcs_keywords(
field[-1][0], self.rcs_keyword_substitutions
)
# if normedname not in bibliofields:
classvalue = nodes.make_id(normedname)
if classvalue:
field["classes"].append(classvalue)
docinfo.append(field)
nodelist = []
if len(docinfo) != 0:
nodelist.append(docinfo)
for name in ("dedication", "abstract"):
if topics[name]:
nodelist.append(topics[name])
return nodelist
def extract_bibliographic(self, field_list):
docinfo = nodes.docinfo()
bibliofields = self.language.bibliographic_fields
labels = self.language.labels
topics = {'dedication': None, 'abstract': None}
for field in field_list:
try:
name = field[0][0].astext()
normedname = nodes.fully_normalize_name(name)
if not (len(field) == 2 and normedname in bibliofields
and self.check_empty_biblio_field(field, name)):
raise TransformError
canonical = bibliofields[normedname]
biblioclass = self.biblio_nodes[canonical]
if issubclass(biblioclass, nodes.TextElement):
if not self.check_compound_biblio_field(field, name):
raise TransformError
utils.clean_rcs_keywords(
field[1][0], self.rcs_keyword_substitutions)
docinfo.append(biblioclass('', '', *field[1][0]))
elif issubclass(biblioclass, nodes.authors):
self.extract_authors(field, name, docinfo)
elif issubclass(biblioclass, nodes.topic):
if topics[canonical]:
field[-1] += self.document.reporter.warning(
'There can only be one "%s" field.' % name,
base_node=field)
raise TransformError
title = nodes.title(name, labels[canonical])
topics[canonical] = biblioclass(
'', title, classes=[canonical], *field[1].children)
else:
docinfo.append(biblioclass('', *field[1].children))
except TransformError:
if len(field[-1]) == 1 \
and isinstance(field[-1][0], nodes.paragraph):
utils.clean_rcs_keywords(
field[-1][0], self.rcs_keyword_substitutions)
if normedname not in bibliofields:
classvalue = nodes.make_id(normedname)
if classvalue:
field['classes'].append(classvalue)
docinfo.append(field)
nodelist = []
if len(docinfo) != 0:
nodelist.append(docinfo)
for name in ('dedication', 'abstract'):
if topics[name]:
nodelist.append(topics[name])
return nodelist
def extract_bibliographic(self, field_list):
docinfo = nodes.docinfo()
bibliofields = self.language.bibliographic_fields
labels = self.language.labels
topics = {'dedication': None, 'abstract': None}
for field in field_list:
try:
name = field[0][0].astext()
normedname = nodes.fully_normalize_name(name)
if not (len(field) == 2 and bibliofields.has_key(normedname)
and self.check_empty_biblio_field(field, name)):
raise TransformError
canonical = bibliofields[normedname]
biblioclass = self.biblio_nodes[canonical]
if issubclass(biblioclass, nodes.TextElement):
if not self.check_compound_biblio_field(field, name):
raise TransformError
utils.clean_rcs_keywords(field[1][0],
self.rcs_keyword_substitutions)
docinfo.append(biblioclass('', '', *field[1][0]))
elif issubclass(biblioclass, nodes.authors):
self.extract_authors(field, name, docinfo)
elif issubclass(biblioclass, nodes.topic):
if topics[canonical]:
field[-1] += self.document.reporter.warning(
'There can only be one "%s" field.' % name,
base_node=field)
raise TransformError
title = nodes.title(name, labels[canonical])
topics[canonical] = biblioclass('',
title,
CLASS=canonical,
*field[1].children)
else:
docinfo.append(biblioclass('', *field[1].children))
except TransformError:
if len(field[-1]) == 1 \
and isinstance(field[-1][0], nodes.paragraph):
utils.clean_rcs_keywords(field[-1][0],
self.rcs_keyword_substitutions)
docinfo.append(field)
nodelist = []
if len(docinfo) != 0:
nodelist.append(docinfo)
for name in ('dedication', 'abstract'):
if topics[name]:
nodelist.append(topics[name])
return nodelist
def apply(self):
if not len(self.document):
# @@@ replace these DataErrors with proper system messages
raise DataError('Document tree is empty.')
header = self.document[0]
if not isinstance(header, nodes.field_list) or \
'rfc2822' not in header['classes']:
raise DataError('Document does not begin with an RFC-2822 '
'header; it is not a PEP.')
pep = None
for field in header:
if field[0].astext().lower() == 'pep': # should be the first field
value = field[1].astext()
try:
pep = int(value)
cvs_url = self.pep_cvs_url % pep
except ValueError:
pep = value
cvs_url = None
msg = self.document.reporter.warning(
'"PEP" header must contain an integer; "%s" is an '
'invalid value.' % pep, base_node=field)
msgid = self.document.set_id(msg)
prb = nodes.problematic(value, value or '(none)',
refid=msgid)
prbid = self.document.set_id(prb)
msg.add_backref(prbid)
if len(field[1]):
field[1][0][:] = [prb]
else:
field[1] += nodes.paragraph('', '', prb)
break
if pep is None:
raise DataError('Document does not contain an RFC-2822 "PEP" '
'header.')
if pep == 0:
# Special processing for PEP 0.
pending = nodes.pending(peps.PEPZero)
self.document.insert(1, pending)
self.document.note_pending(pending)
if len(header) < 2 or header[1][0].astext().lower() != 'title':
raise DataError('No title!')
for field in header:
name = field[0].astext().lower()
body = field[1]
if len(body) > 1:
raise DataError('PEP header field body contains multiple '
'elements:\n%s' % field.pformat(level=1))
elif len(body) == 1:
if not isinstance(body[0], nodes.paragraph):
raise DataError('PEP header field body may only contain '
'a single paragraph:\n%s'
% field.pformat(level=1))
elif name == 'last-modified':
date = time.strftime(
'%d-%b-%Y',
time.localtime(os.stat(self.document['source'])[8]))
if cvs_url:
body += nodes.paragraph(
'', '', nodes.reference('', date, refuri=cvs_url))
else:
# empty
continue
para = body[0]
if name in ('author', 'bdfl-delegate', 'sponsor'):
for node in para:
if isinstance(node, nodes.reference):
node.replace_self(peps.mask_email(node))
elif name == 'discussions-to':
for node in para:
if isinstance(node, nodes.reference):
node.replace_self(peps.mask_email(node, pep))
elif name in ('replaces', 'superseded-by', 'requires'):
newbody = []
space = nodes.Text(' ')
for refpep in re.split(r',?\s+', body.astext()):
pepno = int(refpep)
newbody.append(nodes.reference(
refpep, refpep,
refuri=(self.document.settings.pep_base_url
+ self.pep_url % pepno)))
newbody.append(space)
para[:] = newbody[:-1] # drop trailing space
elif name == 'last-modified':
utils.clean_rcs_keywords(para, self.rcs_keyword_substitutions)
if cvs_url:
date = para.astext()
para[:] = [nodes.reference('', date, refuri=cvs_url)]
elif name == 'content-type':
pep_type = para.astext()
uri = self.document.settings.pep_base_url + self.pep_url % 12
para[:] = [nodes.reference('', pep_type, refuri=uri)]
elif name == 'version' and len(body):
utils.clean_rcs_keywords(para, self.rcs_keyword_substitutions)
def apply(self):
if not len(self.document):
# @@@ replace these DataErrors with proper system messages
raise DataError("Document tree is empty.")
header = self.document[0]
if (
not isinstance(header, nodes.field_list)
or "rfc2822" not in header["classes"]
):
raise DataError(
"Document does not begin with an RFC-2822 " "header; it is not a PEP."
)
pep = None
for field in header:
if field[0].astext().lower() == "pep": # should be the first field
value = field[1].astext()
try:
pep = int(value)
cvs_url = self.pep_cvs_url % pep
except ValueError:
pep = value
cvs_url = None
msg = self.document.reporter.warning(
'"PEP" header must contain an integer; "%s" is an '
"invalid value." % pep,
base_node=field,
)
msgid = self.document.set_id(msg)
prb = nodes.problematic(value, value or "(none)", refid=msgid)
prbid = self.document.set_id(prb)
msg.add_backref(prbid)
if len(field[1]):
field[1][0][:] = [prb]
else:
field[1] += nodes.paragraph("", "", prb)
break
if pep is None:
raise DataError('Document does not contain an RFC-2822 "PEP" ' "header.")
if pep == 0:
# Special processing for PEP 0.
pending = nodes.pending(PEPZero)
self.document.insert(1, pending)
self.document.note_pending(pending)
if len(header) < 2 or header[1][0].astext().lower() != "title":
raise DataError("No title!")
for field in header:
name = field[0].astext().lower()
body = field[1]
if len(body) > 1:
raise DataError(
"PEP header field body contains multiple "
"elements:\n%s" % field.pformat(level=1)
)
elif len(body) == 1:
if not isinstance(body[0], nodes.paragraph):
raise DataError(
"PEP header field body may only contain "
"a single paragraph:\n%s" % field.pformat(level=1)
)
elif name == "last-modified":
date = time.strftime(
"%d-%b-%Y", time.localtime(os.stat(self.document["source"])[8])
)
if cvs_url:
body += nodes.paragraph(
"", "", nodes.reference("", date, refuri=cvs_url)
)
else:
# empty
continue
para = body[0]
if name == "author":
for node in para:
if isinstance(node, nodes.reference):
node.replace_self(mask_email(node))
elif name == "discussions-to":
for node in para:
if isinstance(node, nodes.reference):
node.replace_self(mask_email(node, pep))
elif name in ("replaces", "replaced-by", "requires"):
newbody = []
space = nodes.Text(" ")
for refpep in re.split(r",?\s+", body.astext()):
pepno = int(refpep)
newbody.append(
nodes.reference(
refpep,
refpep,
refuri=(
self.document.settings.pep_base_url
+ self.pep_url % pepno
),
)
)
newbody.append(space)
para[:] = newbody[:-1] # drop trailing space
elif name == "last-modified":
utils.clean_rcs_keywords(para, self.rcs_keyword_substitutions)
if cvs_url:
date = para.astext()
para[:] = [nodes.reference("", date, refuri=cvs_url)]
elif name == "content-type":
pep_type = para.astext()
uri = self.document.settings.pep_base_url + self.pep_url % 12
para[:] = [nodes.reference("", pep_type, refuri=uri)]
elif name == "version" and len(body):
utils.clean_rcs_keywords(para, self.rcs_keyword_substitutions)
def apply(self):
if not len(self.document):
# @@@ replace these DataErrors with proper system messages
raise DataError("Document tree is empty.")
header = self.document[0]
if not isinstance(header, nodes.field_list) or "rfc2822" not in header["classes"]:
raise DataError("Document does not begin with an RFC-2822 " "header; it is not a PEP.")
pep = None
for field in header:
if field[0].astext().lower() == "pep": # should be the first field
value = field[1].astext()
try:
pep = int(value)
cvs_url = self.pep_cvs_url % pep
except ValueError:
pep = value
cvs_url = None
msg = self.document.reporter.warning(
'"PEP" header must contain an integer; "%s" is an ' "invalid value." % pep, base_node=field
)
msgid = self.document.set_id(msg)
prb = nodes.problematic(value, value or "(none)", refid=msgid)
prbid = self.document.set_id(prb)
msg.add_backref(prbid)
if len(field[1]):
field[1][0][:] = [prb]
else:
field[1] += nodes.paragraph("", "", prb)
break
if pep is None:
raise DataError('Document does not contain an RFC-2822 "PEP" ' "header.")
if pep == 0:
# Special processing for PEP 0.
pending = nodes.pending(PEPZero)
self.document.insert(1, pending)
self.document.note_pending(pending)
if len(header) < 2 or header[1][0].astext().lower() != "title":
raise DataError("No title!")
for field in header:
name = field[0].astext().lower()
body = field[1]
if len(body) > 1:
raise DataError("PEP header field body contains multiple " "elements:\n%s" % field.pformat(level=1))
elif len(body) == 1:
if not isinstance(body[0], nodes.paragraph):
raise DataError(
"PEP header field body may only contain " "a single paragraph:\n%s" % field.pformat(level=1)
)
elif name == "last-modified":
date = time.strftime("%d-%b-%Y", time.localtime(os.stat(self.document["source"])[8]))
if cvs_url:
body += nodes.paragraph("", "", nodes.reference("", date, refuri=cvs_url))
else:
# empty
continue
para = body[0]
if name == "author":
for node in para:
if isinstance(node, nodes.reference):
node.parent.replace(node, mask_email(node))
elif name == "discussions-to":
for node in para:
if isinstance(node, nodes.reference):
node.parent.replace(node, mask_email(node, pep))
elif name in ("replaces", "replaced-by", "requires"):
newbody = []
space = nodes.Text(" ")
for refpep in re.split(",?\s+", body.astext()):
pepno = int(refpep)
newbody.append(
nodes.reference(
refpep, refpep, refuri=(self.document.settings.pep_base_url + self.pep_url % pepno)
)
)
newbody.append(space)
para[:] = newbody[:-1] # drop trailing space
elif name == "last-modified":
utils.clean_rcs_keywords(para, self.rcs_keyword_substitutions)
if cvs_url:
date = para.astext()
para[:] = [nodes.reference("", date, refuri=cvs_url)]
elif name == "content-type":
pep_type = para.astext()
uri = self.document.settings.pep_base_url + self.pep_url % 12
para[:] = [nodes.reference("", pep_type, refuri=uri)]
elif name == "version" and len(body):
utils.clean_rcs_keywords(para, self.rcs_keyword_substitutions)