How to use the xlsx2csv.InvalidXlsxFileException function in xlsx2csv

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github dilshod / xlsx2csv / xlsx2csv.py View on Github external
options.setdefault("skip_trailing_columns", False)
        options.setdefault("escape_strings", False)
        options.setdefault("hyperlinks", False)
        options.setdefault("include_sheet_pattern", ["^.*$"])
        options.setdefault("exclude_sheet_pattern", [])
        options.setdefault("exclude_hidden_sheets", False)
        options.setdefault("merge_cells", False)
        options.setdefault("ignore_formats", [''])
        options.setdefault("lineterminator", "\n")
        options.setdefault("outputencoding", "utf-8")

        self.options = options
        try:
            self.ziphandle = zipfile.ZipFile(xlsxfile)
        except (zipfile.BadZipfile, IOError):
            raise InvalidXlsxFileException("Invalid xlsx file: " + str(xlsxfile))

        self.py3 = sys.version_info[0] == 3

        self.content_types = self._parse(ContentTypes, "/[Content_Types].xml")
        self.shared_strings = self._parse(SharedStrings, self.content_types.types["shared_strings"])
        self.styles = self._parse(Styles, self.content_types.types["styles"])
        self.workbook = self._parse(Workbook, self.content_types.types["workbook"])
        workbook_relationships = list(filter(lambda r: "book" in r, self.content_types.types["relationships"]))[0]
        self.workbook.relationships = self._parse(Relationships, workbook_relationships)
        if self.options['escape_strings']:
            self.shared_strings.escape_strings()
github SciCrunch / sparc-curation / sparcur / datasets.py View on Github external
def xlsx(self):
        kwargs = {
            'delimiter': '\t',
            'skip_empty_lines': True,
            'outputencoding': 'utf-8',
            'hyperlinks': True,
        }
        sheetid = 1
        try:
            xlsx2csv = Xlsx2csv(self.path.as_posix(), **kwargs)
        except InvalidXlsxFileException as e:
            raise exc.NoDataError(f'{self.path}') from e

        ns = len(xlsx2csv.workbook.sheets)
        if ns > 1:
            message = f'too many sheets ({ns}) in {self.path.as_posix()!r}'
            if self.addError(exc.EncodingError(message),
                             blame='submission',
                             path=self.path):
                logd.error(message)

        f = io.StringIO()
        try:
            xlsx2csv.convert(f, sheetid)
            f.seek(0)
            gen = csv.reader(f, delimiter='\t')
            yield from gen

xlsx2csv

xlsx to csv converter

MIT
Latest version published 3 days ago

Package Health Score

82 / 100
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