def extract_authors(self, field, name, docinfo):
try:
if len(field[1]) == 1:
if isinstance(field[1][0], nodes.paragraph):
authors = self.authors_from_one_paragraph(field)
elif isinstance(field[1][0], nodes.bullet_list):
authors = self.authors_from_bullet_list(field)
else:
raise TransformError
else:
authors = self.authors_from_paragraphs(field)
authornodes = [nodes.author('', '', *author)
for author in authors if author]
if len(authornodes) >= 1:
docinfo.append(nodes.authors('', *authornodes))
else:
raise TransformError
except TransformError:
field[-1] += self.document.reporter.warning(
'Bibliographic field "%s" incompatible with extraction: '
'it must contain either a single paragraph (with authors '
'separated by one of "%s"), multiple paragraphs (one per '
'author), or a bullet list with one paragraph (one author) '
'per item.'
% (name, ''.join(self.language.author_separators)),
base_node=field)
raise
python类author()的实例源码
def authors_from_one_paragraph(self, field):
text = field[1][0].astext().strip()
if not text:
raise TransformError
for authorsep in self.language.author_separators:
authornames = text.split(authorsep)
if len(authornames) > 1:
break
authornames = [author.strip() for author in authornames]
authors = [[nodes.Text(author)] for author in authornames if author]
return authors
def extract_authors(self, field, name, docinfo):
try:
if len(field[1]) == 1:
if isinstance(field[1][0], nodes.paragraph):
authors = self.authors_from_one_paragraph(field)
elif isinstance(field[1][0], nodes.bullet_list):
authors = self.authors_from_bullet_list(field)
else:
raise TransformError
else:
authors = self.authors_from_paragraphs(field)
authornodes = [nodes.author('', '', *author)
for author in authors if author]
if len(authornodes) >= 1:
docinfo.append(nodes.authors('', *authornodes))
else:
raise TransformError
except TransformError:
field[-1] += self.document.reporter.warning(
'Bibliographic field "%s" incompatible with extraction: '
'it must contain either a single paragraph (with authors '
'separated by one of "%s"), multiple paragraphs (one per '
'author), or a bullet list with one paragraph (one author) '
'per item.'
% (name, ''.join(self.language.author_separators)),
base_node=field)
raise
def authors_from_one_paragraph(self, field):
text = field[1][0].astext().strip()
if not text:
raise TransformError
for authorsep in self.language.author_separators:
authornames = text.split(authorsep)
if len(authornames) > 1:
break
authornames = [author.strip() for author in authornames]
authors = [[nodes.Text(author)] for author in authornames if author]
return authors
def extract_authors(self, field, name, docinfo):
try:
if len(field[1]) == 1:
if isinstance(field[1][0], nodes.paragraph):
authors = self.authors_from_one_paragraph(field)
elif isinstance(field[1][0], nodes.bullet_list):
authors = self.authors_from_bullet_list(field)
else:
raise TransformError
else:
authors = self.authors_from_paragraphs(field)
authornodes = [nodes.author('', '', *author)
for author in authors if author]
if len(authornodes) >= 1:
docinfo.append(nodes.authors('', *authornodes))
else:
raise TransformError
except TransformError:
field[-1] += self.document.reporter.warning(
'Bibliographic field "%s" incompatible with extraction: '
'it must contain either a single paragraph (with authors '
'separated by one of "%s"), multiple paragraphs (one per '
'author), or a bullet list with one paragraph (one author) '
'per item.'
% (name, ''.join(self.language.author_separators)),
base_node=field)
raise
def authors_from_one_paragraph(self, field):
text = field[1][0].astext().strip()
if not text:
raise TransformError
for authorsep in self.language.author_separators:
authornames = text.split(authorsep)
if len(authornames) > 1:
break
authornames = [author.strip() for author in authornames]
authors = [[nodes.Text(author)] for author in authornames if author]
return authors
def extract_authors(self, field, name, docinfo):
try:
if len(field[1]) == 1:
if isinstance(field[1][0], nodes.paragraph):
authors = self.authors_from_one_paragraph(field)
elif isinstance(field[1][0], nodes.bullet_list):
authors = self.authors_from_bullet_list(field)
else:
raise TransformError
else:
authors = self.authors_from_paragraphs(field)
authornodes = [nodes.author('', '', *author)
for author in authors if author]
if len(authornodes) >= 1:
docinfo.append(nodes.authors('', *authornodes))
else:
raise TransformError
except TransformError:
field[-1] += self.document.reporter.warning(
'Bibliographic field "%s" incompatible with extraction: '
'it must contain either a single paragraph (with authors '
'separated by one of "%s"), multiple paragraphs (one per '
'author), or a bullet list with one paragraph (one author) '
'per item.'
% (name, ''.join(self.language.author_separators)),
base_node=field)
raise
def authors_from_one_paragraph(self, field):
text = field[1][0].astext().strip()
if not text:
raise TransformError
for authorsep in self.language.author_separators:
authornames = text.split(authorsep)
if len(authornames) > 1:
break
authornames = [author.strip() for author in authornames]
authors = [[nodes.Text(author)] for author in authornames if author]
return authors
def extract_authors(self, field, name, docinfo):
try:
if len(field[1]) == 1:
if isinstance(field[1][0], nodes.paragraph):
authors = self.authors_from_one_paragraph(field)
elif isinstance(field[1][0], nodes.bullet_list):
authors = self.authors_from_bullet_list(field)
else:
raise TransformError
else:
authors = self.authors_from_paragraphs(field)
authornodes = [nodes.author('', '', *author)
for author in authors if author]
if len(authornodes) >= 1:
docinfo.append(nodes.authors('', *authornodes))
else:
raise TransformError
except TransformError:
field[-1] += self.document.reporter.warning(
'Bibliographic field "%s" incompatible with extraction: '
'it must contain either a single paragraph (with authors '
'separated by one of "%s"), multiple paragraphs (one per '
'author), or a bullet list with one paragraph (one author) '
'per item.'
% (name, ''.join(self.language.author_separators)),
base_node=field)
raise
def authors_from_one_paragraph(self, field):
text = field[1][0].astext().strip()
if not text:
raise TransformError
for authorsep in self.language.author_separators:
authornames = text.split(authorsep)
if len(authornames) > 1:
break
authornames = [author.strip() for author in authornames]
authors = [[nodes.Text(author)] for author in authornames if author]
return authors
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
阅读 22
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def extract_authors(self, field, name, docinfo):
try:
if len(field[1]) == 1:
if isinstance(field[1][0], nodes.paragraph):
authors = self.authors_from_one_paragraph(field)
elif isinstance(field[1][0], nodes.bullet_list):
authors = self.authors_from_bullet_list(field)
else:
raise TransformError
else:
authors = self.authors_from_paragraphs(field)
authornodes = [nodes.author('', '', *author)
for author in authors if author]
if len(authornodes) >= 1:
docinfo.append(nodes.authors('', *authornodes))
else:
raise TransformError
except TransformError:
field[-1] += self.document.reporter.warning(
'Bibliographic field "%s" incompatible with extraction: '
'it must contain either a single paragraph (with authors '
'separated by one of "%s"), multiple paragraphs (one per '
'author), or a bullet list with one paragraph (one author) '
'per item.'
% (name, ''.join(self.language.author_separators)),
base_node=field)
raise
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
阅读 26
收藏 0
点赞 0
评论 0
def authors_from_one_paragraph(self, field):
text = field[1][0].astext().strip()
if not text:
raise TransformError
for authorsep in self.language.author_separators:
authornames = text.split(authorsep)
if len(authornames) > 1:
break
authornames = [author.strip() for author in authornames]
authors = [[nodes.Text(author)] for author in authornames if author]
return authors
