def parse_extension_options(self, option_spec, datalines):
"""
Parse `datalines` for a field list containing extension options
matching `option_spec`.
:Parameters:
- `option_spec`: a mapping of option name to conversion
function, which should raise an exception on bad input.
- `datalines`: a list of input strings.
:Return:
- Success value, 1 or 0.
- An option dictionary on success, an error string on failure.
"""
node = nodes.field_list()
newline_offset, blank_finish = self.nested_list_parse(
datalines, 0, node, initial_state='ExtensionOptions',
blank_finish=True)
if newline_offset != len(datalines): # incomplete parse of block
return 0, 'invalid option block'
try:
options = utils.extract_extension_options(node, option_spec)
except KeyError as detail:
return 0, ('unknown option: "%s"' % detail.args[0])
except (ValueError, TypeError) as detail:
return 0, ('invalid option value: %s' % ' '.join(detail.args))
except utils.ExtensionOptionError as detail:
return 0, ('invalid option data: %s' % ' '.join(detail.args))
if blank_finish:
return 1, options
else:
return 0, 'option data incompletely parsed'
python类field_list()的实例源码
def apply(self):
if not getattr(self.document.settings, 'docinfo_xform', 1):
return
document = self.document
index = document.first_child_not_matching_class(
nodes.PreBibliographic)
if index is None:
return
candidate = document[index]
if isinstance(candidate, nodes.field_list):
biblioindex = document.first_child_not_matching_class(
(nodes.Titular, nodes.Decorative))
nodelist = self.extract_bibliographic(candidate)
del document[index] # untransformed field list (candidate)
document[biblioindex:biblioindex] = nodelist
def interpolation_dict(self):
subs = html4css1.Writer.interpolation_dict(self)
settings = self.document.settings
pyhome = settings.python_home
subs['pyhome'] = pyhome
subs['pephome'] = settings.pep_home
if pyhome == '..':
subs['pepindex'] = '.'
else:
subs['pepindex'] = pyhome + '/dev/peps'
index = self.document.first_child_matching_class(nodes.field_list)
header = self.document[index]
self.pepnum = header[0][1].astext()
subs['pep'] = self.pepnum
if settings.no_random:
subs['banner'] = 0
else:
import random
subs['banner'] = random.randrange(64)
try:
subs['pepnum'] = '%04i' % int(self.pepnum)
except ValueError:
subs['pepnum'] = self.pepnum
self.title = header[1][1].astext()
subs['title'] = self.title
subs['body'] = ''.join(
self.body_pre_docinfo + self.docinfo + self.body)
return subs
def parse_extension_options(self, option_spec, datalines):
"""
Parse `datalines` for a field list containing extension options
matching `option_spec`.
:Parameters:
- `option_spec`: a mapping of option name to conversion
function, which should raise an exception on bad input.
- `datalines`: a list of input strings.
:Return:
- Success value, 1 or 0.
- An option dictionary on success, an error string on failure.
"""
node = nodes.field_list()
newline_offset, blank_finish = self.nested_list_parse(
datalines, 0, node, initial_state='ExtensionOptions',
blank_finish=True)
if newline_offset != len(datalines): # incomplete parse of block
return 0, 'invalid option block'
try:
options = utils.extract_extension_options(node, option_spec)
except KeyError, detail:
return 0, ('unknown option: "%s"' % detail.args[0])
except (ValueError, TypeError), detail:
return 0, ('invalid option value: %s' % ' '.join(detail.args))
except utils.ExtensionOptionError, detail:
return 0, ('invalid option data: %s' % ' '.join(detail.args))
if blank_finish:
return 1, options
else:
return 0, 'option data incompletely parsed'
def interpolation_dict(self):
result = super().interpolation_dict()
index = self.document.first_child_matching_class(nodes.field_list)
self.document[index][0][1].text = '-1'
result['pepnum'] = result['pep'] = self._pep_num
result['pephome'] = 'https://github.com/fedora-python/pep-drafts/blob/master'
result['pepindex'] = 'index.html'
result['banner'] = 0
return result
frontmatter.py 文件源码
项目：tf_aws_ecs_instance_draining_on_scale_in
作者: terraform-community-modules
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文件源码
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def apply(self):
if not getattr(self.document.settings, 'docinfo_xform', 1):
return
document = self.document
index = document.first_child_not_matching_class(
nodes.PreBibliographic)
if index is None:
return
candidate = document[index]
if isinstance(candidate, nodes.field_list):
biblioindex = document.first_child_not_matching_class(
(nodes.Titular, nodes.Decorative))
nodelist = self.extract_bibliographic(candidate)
del document[index] # untransformed field list (candidate)
document[biblioindex:biblioindex] = nodelist
__init__.py 文件源码
项目：tf_aws_ecs_instance_draining_on_scale_in
作者: terraform-community-modules
项目源码
文件源码
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def interpolation_dict(self):
subs = html4css1.Writer.interpolation_dict(self)
settings = self.document.settings
pyhome = settings.python_home
subs['pyhome'] = pyhome
subs['pephome'] = settings.pep_home
if pyhome == '..':
subs['pepindex'] = '.'
else:
subs['pepindex'] = pyhome + '/dev/peps'
index = self.document.first_child_matching_class(nodes.field_list)
header = self.document[index]
self.pepnum = header[0][1].astext()
subs['pep'] = self.pepnum
if settings.no_random:
subs['banner'] = 0
else:
import random
subs['banner'] = random.randrange(64)
try:
subs['pepnum'] = '%04i' % int(self.pepnum)
except ValueError:
subs['pepnum'] = self.pepnum
self.title = header[1][1].astext()
subs['title'] = self.title
subs['body'] = ''.join(
self.body_pre_docinfo + self.docinfo + self.body)
return subs
states.py 文件源码
项目：tf_aws_ecs_instance_draining_on_scale_in
作者: terraform-community-modules
项目源码
文件源码
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def parse_extension_options(self, option_spec, datalines):
"""
Parse `datalines` for a field list containing extension options
matching `option_spec`.
:Parameters:
- `option_spec`: a mapping of option name to conversion
function, which should raise an exception on bad input.
- `datalines`: a list of input strings.
:Return:
- Success value, 1 or 0.
- An option dictionary on success, an error string on failure.
"""
node = nodes.field_list()
newline_offset, blank_finish = self.nested_list_parse(
datalines, 0, node, initial_state='ExtensionOptions',
blank_finish=True)
if newline_offset != len(datalines): # incomplete parse of block
return 0, 'invalid option block'
try:
options = utils.extract_extension_options(node, option_spec)
except KeyError, detail:
return 0, ('unknown option: "%s"' % detail.args[0])
except (ValueError, TypeError), detail:
return 0, ('invalid option value: %s' % ' '.join(detail.args))
except utils.ExtensionOptionError, detail:
return 0, ('invalid option data: %s' % ' '.join(detail.args))
if blank_finish:
return 1, options
else:
return 0, 'option data incompletely parsed'
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.make_id(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 and normedname not in bibliofields:
field['classes'].append(normedname)
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 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)
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.make_id(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 and normedname not in bibliofields:
field['classes'].append(normedname)
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 make_node(self, lang='en'):
if lang not in texts.keys():
lang = 'en'
arg_map = texts[lang]["arg_map"]
task_title = texts[lang]["task_title"]
module_title = texts[lang]["module_title"]
module = ""
module_args = []
# first, search module
for arg, m in self.args.items():
if arg not in arg_map.keys():
module = arg
module_args.append(m)
item = nodes.admonition()
title = nodes.title(text=self.name)
item.append(title)
for m in module_args:
if isinstance(m, str):
item.append(nodes.paragraph(text=m))
else:
mlist = []
for k, v in m.items():
mlist.append("%s=%s" % (k, v))
item.append(nodes.paragraph(text=" ".join(mlist)))
field_list = nodes.field_list()
field_list.append(self.make_arg(module_title, module))
# second, create node tree
for arg, txt in arg_map.items():
if not txt: # skip name etc...
continue
if arg not in self.args:
continue
value = self.args[arg] # value of that task arg
if isinstance(value, list):
bl = nodes.bullet_list()
for v in value:
body = nodes.emphasis(text=v)
bl.append(nodes.list_item('', body))
name = nodes.field_name(text=txt)
body = nodes.field_body()
body.append(bl)
field = nodes.field()
field += [name, body]
field_list.append(field)
else:
field_list.append(self.make_arg(txt, value))
item.append(field_list)
return item
frontmatter.py 文件源码
项目：tf_aws_ecs_instance_draining_on_scale_in
作者: terraform-community-modules
项目源码
文件源码
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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.make_id(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 and normedname not in bibliofields:
field['classes'].append(normedname)
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
