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Python NlmManipulate.get_stripped_text方法代码示例

本文整理汇总了Python中nlmmanipulate.NlmManipulate.get_stripped_text方法的典型用法代码示例。如果您正苦于以下问题:Python NlmManipulate.get_stripped_text方法的具体用法?Python NlmManipulate.get_stripped_text怎么用?Python NlmManipulate.get_stripped_text使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在nlmmanipulate.NlmManipulate的用法示例。


在下文中一共展示了NlmManipulate.get_stripped_text方法的9个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: run_prompt

# 需要导入模块: from nlmmanipulate import NlmManipulate [as 别名]
# 或者: from nlmmanipulate.NlmManipulate import get_stripped_text [as 别名]
    def run_prompt(self):
        self.run(False)
        self.debug.print_debug(self, u"Entering interactive mode")

        prompt = Interactive(self.gv)

        manipulate = NlmManipulate(self.gv)

        tree = manipulate.load_dom_tree()

        ref_items = tree.xpath("//back/ref-list/ref")

        # note that we don't want to exit even if there are no references to link because the user may want to delete
        # some

        delete_all = False

        for p in tree.xpath('//xref[@ref-type="bibr"]'):
            text = manipulate.get_stripped_text(p)

            if "rid" in p.attrib and p.attrib["rid"] == "TO_LINK":
                prompt.print_(u"Found an unhandled reference marker: {0}".format(text))
            elif "rid" in p.attrib:
                remote = next((x for x in ref_items if "id" in x.attrib and (x.attrib["id"] == p.attrib["rid"])), None)
                remote_text = manipulate.get_stripped_text(remote)
                prompt.print_(u'Found a handled reference marker: "{0}" which links to "{1}"'.format(text, remote_text))

            opts = (
                "Skip",
                "Delete",
                "deleTe all",
                "Enter search",
                "Ibid",
                "enter Link id",
                "skip Rest",
                "show Context",
            )

            sel = ""

            if delete_all:
                sel = "d"
            else:
                sel = prompt.input_options(opts)

            result = self.handle_input(manipulate, opts, p, prompt, ref_items, sel, tree=tree)

            if result == "abort":
                manipulate.save_tree(tree)
                return
            elif result == "delall":
                delete_all = True

            manipulate.save_tree(tree)
开发者ID:jstirnaman,项目名称:meTypeset,代码行数:56,代码来源:referencelinker.py

示例2: run_prompt

# 需要导入模块: from nlmmanipulate import NlmManipulate [as 别名]
# 或者: from nlmmanipulate.NlmManipulate import get_stripped_text [as 别名]
    def run_prompt(self):
        self.run(False)
        self.debug.print_debug(self, u'Entering interactive mode')

        prompt = Interactive(self.gv)

        manipulate = NlmManipulate(self.gv)

        tree = manipulate.load_dom_tree()

        ref_items = tree.xpath('//back/ref-list/ref')

        # note that we don't want to exit even if there are no references to link because the user may want to delete
        # some

        delete_all = False

        for p in tree.xpath('//xref[@ref-type="bibr"]'):
            text = manipulate.get_stripped_text(p)
            prompt.print_(prompt.colorize('green',("-" * 80)))

            if 'rid' in p.attrib and p.attrib['rid'] == 'TO_LINK':
                prompt.print_(u"Found an unhandled reference marker: {0}".format(text))
            elif 'rid' in p.attrib:
                remote = next((x for x in ref_items if 'id' in x.attrib and (x.attrib['id'] == p.attrib['rid'])), None)
                remote_text = manipulate.get_stripped_text(remote)
                prompt.print_(u"Found a handled reference marker: \"{0}\" which links to \"{1}\"".format(text,
                                                                                                         remote_text))

            opts = ('Skip', 'Delete', 'deleTe all', 'Enter search', 'Ibid', 'enter Link id',
                    'skip Rest', 'show Context')

            sel = ''

            if delete_all:
                sel = 'd'
            else:
                sel = prompt.input_options(opts)

            result = self.handle_input(manipulate, opts, p, prompt, ref_items, sel, tree=tree)

            if result == 'abort':
                manipulate.save_tree(tree)
                return
            elif result == 'delall':
                delete_all = True

            manipulate.save_tree(tree)
开发者ID:anukat2015,项目名称:meTypeset,代码行数:50,代码来源:referencelinker.py

示例3: process_database_references

# 需要导入模块: from nlmmanipulate import NlmManipulate [as 别名]
# 或者: from nlmmanipulate.NlmManipulate import get_stripped_text [as 别名]
    def process_database_references(self, db):
        manipulate = NlmManipulate(self.gv)
        master_tree = manipulate.load_dom_tree()
        tree = master_tree.xpath('//back/ref-list/ref')
        for element in tree:
            cont = True
            text = manipulate.get_stripped_text(element)

            year_test = re.compile('((19|20)\d{2})|(n\.d\.)')

            match = year_test.search(text)

            if match:
                # strip out elements in brackets that might scupper parsing
                text = re.sub(r'(.+?)(\(.+?\))(.*)', r'\1\3', text)

                list_split = text.split(',')
                list_split = [x.strip() for x in list_split]

                if len(list_split) < 10:

                    for length in range(1, len(list_split)):
                        if not cont:
                            break

                        for permute in itertools.permutations(list_split, length):
                            key = match.groups(0)[0] + ''.join(permute).strip()

                            if isinstance(key, unicode):
                                key = key.encode("utf-16le")

                            if key in db:
                                obj = db[key]
                                print ('Found {0} in database "{1}"'.format(obj.object_type(), obj.title))

                                new_element = etree.fromstring(obj.get_citation())

                                hash_object = hashlib.sha256(key)
                                hex_dig = hash_object.hexdigest()

                                new_element.attrib['id'] = hex_dig

                                if 'id' in element.attrib:
                                    current_id = element.attrib['id']
                                    referrers = master_tree.xpath('//*[@rid={0}]'.format(current_id))

                                    for link in referrers:
                                        link.attrib['rid'] = hex_dig

                                element.addnext(new_element)
                                element.getparent().remove(element)
                                cont = False
                                break
        return manipulate, master_tree
开发者ID:jure,项目名称:meTypeset,代码行数:56,代码来源:bibliographydatabase.py

示例4: process_zotero

# 需要导入模块: from nlmmanipulate import NlmManipulate [as 别名]
# 或者: from nlmmanipulate.NlmManipulate import get_stripped_text [as 别名]
    def process_zotero(self):
        from zotero import libzotero
        zotero = libzotero.LibZotero(unicode(self.gv.settings.get_setting(u'zotero', self)), self.gv)

        manipulate = NlmManipulate(self.gv)
        master_tree = manipulate.load_dom_tree()
        tree = master_tree.xpath('//back/ref-list/ref')

        for element in tree:
            original_term = manipulate.get_stripped_text(element)
            term = original_term

            #term = re.sub(r'(.+?)(\(.+?\))(.*)', r'\1\3', term)
            term = re.sub(r'(?<![0-9])[1-9][0-9]{0,2}(?![0-9])', r'', term)
            term = re.sub(r'[\-,\.\<\>\(\)\;\:\@\'\#\~\}\{\[\]\"\!\\/]', '', term)
            term = re.sub(u'[^\s]+?\s[Ee]dition', u' ', term)
            term = re.sub(u'\s.\s', u' ', term)
            term = re.sub(u'(?<=[A-Z])\.', u' ', term)
            term = term.replace(u'“', u'')
            term = term.replace(u'\'s', u'')
            term = term.replace(u'’s', u'')
            term = term.replace(u'’', u'')
            term = term.replace(u' Ed. ', u' ')
            term = term.replace(u' Ed ', u' ')
            term = term.replace(u' Trans. ', u' ')
            term = term.replace(u' Trans ', u' ')
            term = term.replace(u' trans ', u' ')
            term = term.replace(u' trans. ', u' ')
            term = term.replace(u' by. ', u' ')
            term = term.replace(u' by ', u' ')
            term = term.replace(u' ed. ', u' ')
            term = term.replace(u' ed ', u' ')
            term = term.replace(u' In ', u' ')
            term = term.replace(u' in ', u' ')
            term = term.replace(u' print ', u' ')
            term = term.replace(u' Print ', u' ')
            term = term.replace(u' and ', u' ')
            term = term.replace(u'”', u'')
            term = re.sub(r'[Aa]ccessed', '', term)
            term = re.sub(r'meTypesetbr', '', term)
            term = re.sub(r'\s+', ' ', term)

            results = zotero.search(term.strip())

            while len(results) == 0 and len(term.strip().split(' ')) > 2:
                # no results found.
                # begin iterating backwards
                term = ' '.join(term.strip().split(' ')[:-1])
                results = zotero.search(term.strip())

            if len(results) == 1:
                res = results[0].JATS_format()

                if res is not None:
                    ref = etree.fromstring(res)
                    if 'id' in element.attrib:
                        ref.attrib['id'] = element.attrib['id']

                    element.addnext(ref)

                    original_term = re.sub(u'--', u'', original_term)

                    comment = etree.Comment(original_term)
                    ref.addnext(comment)

                    element.tag = 'REMOVE'

        etree.strip_elements(master_tree, 'REMOVE')

        manipulate.save_tree(master_tree)
开发者ID:jmcglone,项目名称:meTypeset,代码行数:72,代码来源:bibliographydatabase.py

示例5: run

# 需要导入模块: from nlmmanipulate import NlmManipulate [as 别名]
# 或者: from nlmmanipulate.NlmManipulate import get_stripped_text [as 别名]
    def run(self, interactive):
        if interactive:
            self.run_prompt()
            return

        manipulate = NlmManipulate(self.gv)

        tree = manipulate.load_dom_tree()

        # pre-cleanup: remove all empty ext-links as these break the linker
        items_to_clean = tree.xpath('//ext-link')

        count = 0

        for item in items_to_clean:
            if '{http://www.w3.org/1999/xlink}href' in item.attrib and \
                    item.attrib['{http://www.w3.org/1999/xlink}href'] == '':
                count += 1
                item.tag = 'REMOVE'
                etree.strip_tags(item.getparent(), 'REMOVE')

        if count > 0:
            manipulate.save_tree(tree)
            self.debug.print_debug(self, u'Removed {0} blank ext-link tags'.format(count))

        ref_items = tree.xpath('//back/ref-list/ref')

        self.clean_ref_items(tree, ref_items, manipulate)

        # handle numbered reference items
        references_and_numbers = {}

        for ref in ref_items:
            text = manipulate.get_stripped_text(ref)
            ref_match = re.compile('^(?P<number>\d+)\.*')
            result = ref_match.match(text)

            if result:
                references_and_numbers[result.group('number')] = ref

        parsed = self.process_ibid_authors(ref_items)

        if parsed > 0:

            manipulate.save_tree(tree)

            self.debug.print_debug(self, u'Replace {0} instances of "---." at start of references'.format(parsed))

        to_link = []
        to_stub = []

        square_bracket_count = {}


        for p in tree.xpath('//sec//p[not(mml:math)] | //td',
                            namespaces={'mml': 'http://www.w3.org/1998/Math/MathML'}):

            text = manipulate.get_stripped_text(p)

            reference_test = re.compile('\((?P<text>[^%]+?)\)')
            matches = reference_test.finditer(text)

            # exclude any square brackets with numbers inside
            sub_match = re.compile('\[(?P<square>\d*[,\-;\d\s]*)\]')
            smatch = sub_match.search(text)

            if smatch:
                smatches = sub_match.finditer(text)
                for smatch in smatches:
                    self.debug.print_debug(self, u'Handling references in square '
                                                 u'brackets: [{0}] '.format(smatch.group('square')))
                    for item in re.split(';|,', smatch.group('square')):
                        if '-' in item:
                            parent, tail = manipulate.find_text(p, item)

                            if parent is not None:
                                new_string = ''

                                try:
                                    split_range = item.strip().split('-')
                                    for no in range(int(split_range[0]), int(split_range[1]) + 1):
                                        new_string += str(no) + ','
                                except:
                                    self.debug.print_debug(self, u'Unable to parse reference '
                                                                 u'number in range {0}'.format(item))
                                    break

                                if new_string.endswith(',') and not item.endswith(','):
                                    new_string = new_string[0:len(new_string) - 1]

                                if tail and new_string != '':
                                    parent.tail = parent.tail.replace(item, new_string)
                                elif not tail and new_string != '':
                                    parent.text = parent.text.replace(item, new_string)

                                try:
                                    split_range = item.strip().split('-')
                                    for no in range(int(split_range[0]), int(split_range[1]) + 1):
                                        self.debug.print_debug(self, u'Parsing reference '
                                                                     u'number in range {0}'.format(str(no)))
#.........这里部分代码省略.........
开发者ID:anukat2015,项目名称:meTypeset,代码行数:103,代码来源:referencelinker.py

示例6: run_graphics_sibling

# 需要导入模块: from nlmmanipulate import NlmManipulate [as 别名]
# 或者: from nlmmanipulate.NlmManipulate import get_stripped_text [as 别名]
    def run_graphics_sibling(self):
        # images are hard to handle because Word/OO puts them in different places
        # for instance, the caption can come before or after;
        # <p>Figure 1: Martin Eve at the pub<graphic xlink:href="media/image1.jpeg" position="float"
        # orientation="portrait" xlink:type="simple"/>

        self.debug.print_debug(self, u'Attempting to classify captions for graphics objects [sibling]')

        manipulate = NlmManipulate(self.gv)

        tree = manipulate.load_dom_tree()

        graphics = tree.xpath('//graphic')

        graphic_titles = []
        graphic_ids = []
        graphic_regex_dot = re.compile('^.+?\s*\d+\..+')
        graphic_regex_colon = re.compile('^.+?\s*\d+\:.+')

        separator = ':'

        for graphic in graphics:
            use_next = False
            use_previous = False

            # get the next sibling
            p = graphic.getparent().getnext()
            pprev = graphic.getparent().getprevious()

            if p is not None and p.tag == 'p':
                text = manipulate.get_stripped_text(p)

                if graphic_regex_colon.match(text):
                    use_next = True
                    separator = ':'
                elif graphic_regex_dot.match(text):
                    use_next = True
                    separator = '.'

            if not use_next:
                if pprev is not None and pprev.tag == 'p':
                    text = manipulate.get_stripped_text(pprev)

                    if graphic_regex_colon.match(text):
                        use_previous = True
                        separator = ':'
                    elif graphic_regex_dot.match(text):
                        use_previous = True
                        separator = '.'

            if not use_next or use_previous:
                # see if the title in this section potentially contains text we can match
                parent = graphic.getparent()

                while parent is not None and not parent.tag.endswith('sec'):
                    parent = parent.getparent()
                    if parent is not None:
                      titles = parent.xpath('title')
                else:
                    titles = []

                if len(titles) > 0:
                    p = titles[0]

                    text = manipulate.get_stripped_text(p)

                    if graphic_regex_colon.match(text):
                        use_next = True
                        separator = ':'
                    elif graphic_regex_dot.match(text):
                        use_next = True
                        separator = '.'

            if use_next or use_previous:

                if use_next:
                    text = manipulate.get_stripped_text(p)
                else:
                    text = manipulate.get_stripped_text(pprev)
                    p = pprev

                # likely this is a table identifier
                split_title = text.split(separator)

                title = split_title[0].strip()
                caption = (''.join(split_title[1:])).strip()

                self.debug.print_debug(self, u'Handling title and caption for "{0}"'.format(title))

                title_element = None

                # use an existing title element if one exists
                try:
                    title_element = graphic.xpath('label')[0]
                except:
                    title_element = etree.Element('label')
                    graphic.insert(0, title_element)

                title_element.text = title

#.........这里部分代码省略.........
开发者ID:sebastianmng,项目名称:meTypeset,代码行数:103,代码来源:captionclassifier.py

示例7: run_tables

# 需要导入模块: from nlmmanipulate import NlmManipulate [as 别名]
# 或者: from nlmmanipulate.NlmManipulate import get_stripped_text [as 别名]
    def run_tables(self):
        self.debug.print_debug(self, u'Attempting to classify captions for table objects')

        manipulate = NlmManipulate(self.gv)

        tree = manipulate.load_dom_tree()

        tables = tree.xpath('//table-wrap')

        table_titles = []
        table_ids = []
        table_regex_dot = re.compile('^.+?[\s\-]*\d+\..+')
        table_regex_colon = re.compile('^.+?[\s\-]*\d+\:.+')

        separator = ':'

        for table in tables:
            use_next = False
            use_previous = False
            used_title = False

            # get the next sibling
            p = table.getnext()
            pprev = table.getprevious()
            old_title = None

            if p is not None and p.tag == 'p':
                cont = True
                for sub in p:
                    if sub.tag == 'graphic':
                        cont = False

                if cont:
                    text = manipulate.get_stripped_text(p)

                    if table_regex_colon.match(text):
                        use_next = True
                        separator = ':'
                    elif table_regex_dot.match(text):
                        use_next = True
                        separator = '.'

            if not use_next:
                cont = True
                for sub in pprev:
                    if sub.tag == 'graphic':
                        cont = False
                if cont:
                    if pprev is not None and pprev.tag == 'p':
                        text = manipulate.get_stripped_text(pprev)

                        if table_regex_colon.match(text):
                            use_previous = True
                            separator = ':'
                        elif table_regex_dot.match(text):
                            use_previous = True
                            separator = '.'

            if not use_next or use_previous:
                # see if the title in this section potentially contains text we can match
                parent = table.getparent()

                titles = parent.xpath('title')

                if len(titles) > 0:
                    p = titles[0]

                    text = manipulate.get_stripped_text(p)

                    if table_regex_colon.match(text):
                        use_next = True
                        separator = ':'
                        used_title = True
                    elif table_regex_dot.match(text):
                        use_next = True
                        separator = '.'
                        used_title = True

            if use_next or use_previous:

                if use_next:
                    text = manipulate.get_stripped_text(p)
                else:
                    text = manipulate.get_stripped_text(pprev)
                    p = pprev

                # likely this is a table identifier
                split_title = text.split(separator)

                title = split_title[0]
                caption = (''.join(split_title[1:])).strip()

                # strip all formatting from caption for ease of parsing
                # TODO: preserve formatting (far harder)
                new_p = etree.Element('p')
                new_p.text = caption

                if p.tag.endswith('title'):
                    new_title = etree.Element('title')
                    new_title.text = ''
#.........这里部分代码省略.........
开发者ID:sebastianmng,项目名称:meTypeset,代码行数:103,代码来源:captionclassifier.py

示例8: run_tables

# 需要导入模块: from nlmmanipulate import NlmManipulate [as 别名]
# 或者: from nlmmanipulate.NlmManipulate import get_stripped_text [as 别名]
    def run_tables(self):
        self.debug.print_debug(self, u'Attempting to classify captions for table objects')

        manipulate = NlmManipulate(self.gv)

        tree = manipulate.load_dom_tree()

        tables = tree.xpath('//table-wrap')

        table_titles = []
        table_ids = []
        table_regex_dot = re.compile('^.+?[\s\-]*\d+\..+')
        table_regex_colon = re.compile('^.+?[\s\-]*\d+\:.+')

        separator = ':'

        for table in tables:
            caption_element = None
            use_next = False
            use_previous = False
            used_title = False

            # get the next sibling
            p = table.getnext()
            pprev = table.getprevious()
            old_title = None

            if p is not None and p.tag == 'p':
                cont = True
                for sub in p:
                    if sub.tag == 'graphic':
                        cont = False

                if cont:
                    text = manipulate.get_stripped_text(p)

                    if table_regex_colon.match(text):
                        use_next = True
                        separator = ':'
                    elif table_regex_dot.match(text):
                        use_next = True
                        separator = '.'

            if not use_next:
                cont = True
                for sub in pprev:
                    if sub.tag == 'graphic':
                        cont = False
                if cont:
                    if pprev is not None and pprev.tag == 'p':
                        text = manipulate.get_stripped_text(pprev)

                        if table_regex_colon.match(text):
                            use_previous = True
                            separator = ':'
                        elif table_regex_dot.match(text):
                            use_previous = True
                            separator = '.'

            if not use_next or use_previous:
                # see if the title in this section potentially contains text we can match
                parent = table.getparent()

                titles = parent.xpath('title')

                if len(titles) > 0:
                    p = titles[0]

                    text = manipulate.get_stripped_text(p)

                    if table_regex_colon.match(text):
                        use_next = True
                        separator = ':'
                        used_title = True
                    elif table_regex_dot.match(text):
                        use_next = True
                        separator = '.'
                        used_title = True

            if use_next or use_previous:

                if use_next:
                    text = manipulate.get_stripped_text(p)
                else:
                    text = manipulate.get_stripped_text(pprev)
                    p = pprev

                # likely this is a table identifier
                split_title = text.split(separator)

                title = split_title[0].strip()
                caption = (''.join(split_title[1:])).strip()

                # strip all formatting from caption for ease of parsing
                # TODO: preserve formatting (far harder)
                new_p = etree.Element('p')
                new_p.text = caption

                if p.tag.endswith('title'):
                    new_title = etree.Element('title')
#.........这里部分代码省略.........
开发者ID:MartinPaulEve,项目名称:meTypeset,代码行数:103,代码来源:captionclassifier.py

示例9: run_graphics

# 需要导入模块: from nlmmanipulate import NlmManipulate [as 别名]
# 或者: from nlmmanipulate.NlmManipulate import get_stripped_text [as 别名]
    def run_graphics(self):
        # images are hard to handle because Word/OO puts them in different places
        # for instance, the caption can come before or after;
        # <p>Figure 1: Martin Eve at the pub<graphic xlink:href="media/image1.jpeg" position="float"
        # orientation="portrait" xlink:type="simple"/>

        self.debug.print_debug(self, u"Attempting to classify captions for graphics objects [plain]")

        manipulate = NlmManipulate(self.gv)

        tree = manipulate.load_dom_tree()

        graphics = tree.xpath("//graphic")

        graphic_titles = []
        graphic_ids = []
        graphic_regex_dot = re.compile("^.+?\s*\d+\..+")
        graphic_regex_colon = re.compile("^.+?\s*\d+\:.+")

        separator = ":"

        for graphic in graphics:
            use_next = False

            # get the next sibling
            p = graphic.getparent()

            if p is not None and p.tag == "p":
                text = manipulate.get_stripped_text(p)

                if graphic_regex_colon.match(text):
                    use_next = True
                    separator = ":"
                elif graphic_regex_dot.match(text):
                    use_next = True
                    separator = "."

            if use_next:
                text = manipulate.get_stripped_text(p)

                # likely this is a table identifier
                split_title = text.split(separator)

                title = split_title[0].strip()
                caption = ("".join(split_title[1:])).strip()

                self.debug.print_debug(self, u'Handling title and caption for "{0}"'.format(title))

                title_element = None

                # use an existing title element if one exists
                try:
                    title_element = graphic.xpath("label")[0]
                except:
                    title_element = etree.Element("label")
                    graphic.insert(0, title_element)

                title_element.text = title

                caption_element = etree.Element("caption")
                new_p = etree.Element("p")
                new_p.text = caption

                NlmManipulate.append_safe(caption_element, new_p, self)
                NlmManipulate.append_safe(graphic, caption_element, self)

                if graphic.tail:
                    graphic.tail = graphic.tail.replace(title + separator, "")
                    graphic.tail = graphic.tail.replace(caption + separator, "")
                    graphic.tail = graphic.tail.replace(caption, "")

                if not "id" in graphic.attrib:
                    graphic.attrib["id"] = u"ID{0}".format(unicode(uuid.uuid4()))

                graphic_titles.append(title)
                graphic_ids.append(graphic.attrib["id"])

        paragraphs = tree.xpath("//p")

        self.link(graphic_ids, graphic_titles, paragraphs, "fig")

        tree.write(self.gv.nlm_file_path)
        tree.write(self.gv.nlm_temp_file_path)

        self.run_graphics_sibling()
开发者ID:withanage,项目名称:meTypeset,代码行数:87,代码来源:captionclassifier.py


注:本文中的nlmmanipulate.NlmManipulate.get_stripped_text方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。