Python docutils.utils.clean_rcs_keywords() Examples

The following are 10 code examples of docutils.utils.clean_rcs_keywords(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module docutils.utils , or try the search function .
Example #1
Source File: frontmatter.py    From faces with GNU General Public License v2.0 4 votes vote down vote up 
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
Example #2
Source File: frontmatter.py    From faces with GNU General Public License v2.0 4 votes vote down vote up 
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
Example #3
Source File: frontmatter.py    From deepWordBug with Apache License 2.0 4 votes vote down vote up 
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
Example #4
Source File: frontmatter.py    From bash-lambda-layer with MIT License 4 votes vote down vote up 
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
Example #5
Source File: frontmatter.py    From cadquery-freecad-module with GNU Lesser General Public License v3.0 4 votes vote down vote up 
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
Example #6
Source File: frontmatter.py    From AWS-Transit-Gateway-Demo-MultiAccount with MIT License 4 votes vote down vote up 
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
Example #7
Source File: frontmatter.py    From AWS-Transit-Gateway-Demo-MultiAccount with MIT License 4 votes vote down vote up 
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
Example #8
Source File: frontmatter.py    From blackmamba with MIT License 4 votes vote down vote up 
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
Example #9
Source File: frontmatter.py    From aws-extender with MIT License 4 votes vote down vote up 
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
Example #10
Source File: frontmatter.py    From aws-builders-fair-projects with Apache License 2.0 4 votes vote down vote up 
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