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# (C) Copyright 2005-2023 Enthought, Inc., Austin, TX
# All rights reserved.
#
# This software is provided without warranty under the terms of the BSD
# license included in LICENSE.txt and may be redistributed only under
# the conditions described in the aforementioned license. The license
# is also available online at http://www.enthought.com/licenses/BSD.txt
#
# Thanks for using Enthought open source!
from traits.api import Bool
from pyface.data_view.abstract_data_exporter import AbstractDataExporter
class RowExporter(AbstractDataExporter):
""" Export a collection of rows from a data view as a list of lists.
This is suitable for drag and drop or copying of the content of multiple
selected rows.
This exports a list of data associated with each row in the
indices. Each row item is itself a list of values extracted
from the model.
If the format mimetype is a text mimetype, it will use the
``get_text()`` method to extract the values, otherwise it will
try to use the editor value if it exists, and failing that
the raw value returned from the model.
"""
#: Whether or not to include row headers.
row_headers = Bool()
#: Whether or not to include column headers.
column_headers = Bool()
def get_data(self, model, indices):
""" Get the data to be exported from the model and indices.
This exports a list of data associated with each row in the
indices. Each row item is itself a list of values extracted
from the model.
Parameters
----------
model : AbstractDataModel
The data model holding the data.
indices : list of (row, column) index pairs
The indices where the data is to be stored.
Returns
-------
data : Any
The data, of a type that can be serialized by the format.
"""
rows = sorted({row for row, column in indices})
n_columns = model.get_column_count()
columns = [(column,) for column in range(n_columns)]
if self.column_headers:
rows = [()] + rows
if self.row_headers:
columns = [()] + columns
return [
[self.get_value(model, row, column,) for column in columns]
for row in rows
]
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