예제 #1
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def test_read_external_link(datadir):
    from openpyxl2.packaging.relationship import get_dependents
    from ..external import read_external_link
    datadir.chdir()
    archive = ZipFile("book1.xlsx")
    rels = get_dependents(archive, ARC_WORKBOOK_RELS)
    rel = rels["rId4"]
    book = read_external_link(archive, rel.Target)
    assert book.file_link.Target == "book2.xlsx"
예제 #2
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def read_external_link(archive, book_path):
    src = archive.read(book_path)
    node = fromstring(src)
    book = ExternalLink.from_tree(node)

    link_path = get_rels_path(book_path)
    deps = get_dependents(archive, link_path)
    book.file_link = deps.Relationship[0]

    return book
예제 #3
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def find_images(archive, path):
    """
    Given the path to a drawing file extract charts and images

    Ingore errors due to unsupported parts of DrawingML
    """

    src = archive.read(path)
    tree = fromstring(src)
    try:
        drawing = SpreadsheetDrawing.from_tree(tree)
    except TypeError:
        warn(
            "DrawingML support is incomplete and limited to charts and images only. Shapes and drawings will be lost."
        )
        return [], []

    rels_path = get_rels_path(path)
    deps = []
    if rels_path in archive.namelist():
        deps = get_dependents(archive, rels_path)

    charts = []
    for rel in drawing._chart_rels:
        cs = get_rel(archive, deps, rel.id, ChartSpace)
        chart = read_chart(cs)
        chart.anchor = rel.anchor
        charts.append(chart)

    images = []
    for rel in drawing._blip_rels:
        dep = deps[rel.embed]
        if dep.Type == IMAGE_NS:
            image = Image(BytesIO(archive.read(dep.target)))
            image.anchor = rel.anchor
            images.append(image)
    return charts, images
예제 #4
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def load_workbook(filename,
                  read_only=False,
                  keep_vba=KEEP_VBA,
                  data_only=False,
                  guess_types=False,
                  keep_links=True):
    """Open the given filename and return the workbook

    :param filename: the path to open or a file-like object
    :type filename: string or a file-like object open in binary mode c.f., :class:`zipfile.ZipFile`

    :param read_only: optimised for reading, content cannot be edited
    :type read_only: bool

    :param keep_vba: preseve vba content (this does NOT mean you can use it)
    :type keep_vba: bool

    :param guess_types: guess cell content type and do not read it from the file
    :type guess_types: bool

    :param data_only: controls whether cells with formulae have either the formula (default) or the value stored the last time Excel read the sheet
    :type data_only: bool

    :param keep_links: whether links to external workbooks should be preserved. The default is True
    :type keep_links: bool

    :rtype: :class:`openpyxl2.workbook.Workbook`

    .. note::

        When using lazy load, all worksheets will be :class:`openpyxl.worksheet.iter_worksheet.IterableWorksheet`
        and the returned workbook will be read-only.

    """
    archive = _validate_archive(filename)

    src = archive.read(ARC_CONTENT_TYPES)
    root = fromstring(src)
    package = Manifest.from_tree(root)

    wb_part = _find_workbook_part(package)
    parser = WorkbookParser(archive, wb_part.PartName[1:])
    wb = parser.wb
    wb._data_only = data_only
    wb._read_only = read_only
    wb._keep_links = keep_links
    wb.guess_types = guess_types
    wb.template = wb_part.ContentType in (XLTX, XLTM)
    parser.parse()
    wb._sheets = []

    if read_only and guess_types:
        warnings.warn('Data types are not guessed when using iterator reader')

    valid_files = archive.namelist()

    # If are going to preserve the vba then attach a copy of the archive to the
    # workbook so that is available for the save.
    if keep_vba:
        wb.vba_archive = ZipFile(BytesIO(), 'a', ZIP_DEFLATED)
        for name in archive.namelist():
            wb.vba_archive.writestr(name, archive.read(name))

    if read_only:
        wb._archive = ZipFile(filename)

    # get workbook-level information
    if ARC_CORE in valid_files:
        src = fromstring(archive.read(ARC_CORE))
        wb.properties = DocumentProperties.from_tree(src)

    shared_strings = []
    ct = package.find(SHARED_STRINGS)
    if ct is not None:
        strings_path = ct.PartName[1:]
        shared_strings = read_string_table(archive.read(strings_path))

    if ARC_THEME in valid_files:
        wb.loaded_theme = archive.read(ARC_THEME)

    apply_stylesheet(archive, wb)  # bind styles to workbook
    pivot_caches = parser.pivot_caches

    # get worksheets
    for sheet, rel in parser.find_sheets():
        if "chartsheet" in rel.Type:
            continue
        sheet_name = sheet.name
        worksheet_path = rel.target
        rels_path = get_rels_path(worksheet_path)
        rels = []
        if rels_path in valid_files:
            rels = get_dependents(archive, rels_path)

        if not worksheet_path in valid_files:
            continue

        if read_only:
            ws = ReadOnlyWorksheet(wb, sheet_name, worksheet_path, None,
                                   shared_strings)

            wb._sheets.append(ws)
        else:
            fh = archive.open(worksheet_path)
            ws = wb.create_sheet(sheet_name)
            ws._rels = rels
            ws_parser = WorkSheetParser(ws, fh, shared_strings)
            ws_parser.parse()

            if rels:
                # assign any comments to cells
                for r in rels.find(COMMENTS_NS):
                    src = archive.read(r.target)
                    comment_sheet = CommentSheet.from_tree(fromstring(src))
                    for ref, comment in comment_sheet.comments:
                        ws[ref].comment = comment

                # preserve link to VML file if VBA
                if (wb.vba_archive is not None
                        and ws.legacy_drawing is not None):
                    ws.legacy_drawing = rels[ws.legacy_drawing].target

                for t in ws_parser.tables:
                    src = archive.read(t)
                    xml = fromstring(src)
                    table = Table.from_tree(xml)
                    ws.add_table(table)

                drawings = rels.find(SpreadsheetDrawing._rel_type)
                for rel in drawings:
                    charts, images = find_images(archive, rel.target)
                    for c in charts:
                        ws.add_chart(c, c.anchor)
                    for im in images:
                        ws.add_image(im, im.anchor)

                pivot_rel = rels.find(TableDefinition.rel_type)
                for r in pivot_rel:
                    pivot_path = r.Target
                    src = archive.read(pivot_path)
                    tree = fromstring(src)
                    pivot = TableDefinition.from_tree(tree)
                    pivot.cache = pivot_caches[pivot.cacheId]
                    ws.add_pivot(pivot)

        ws.sheet_state = sheet.state
        ws._rels = []  # reset

    parser.assign_names()

    #wb._differential_styles.styles =  [] # tables may depened upon dxf

    archive.close()
    return wb
예제 #5
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 def rels(self):
     if self._rels is None:
         self._rels = get_dependents(self.archive,
                                     get_rels_path(self.workbook_part_name))
     return self._rels