def test_that_importing_a_csv_and_an_excel_file_with_identical_data_produce_an_identical_spreadsheet_object(self):
csv_filename = "nameemail.csv"
excel_filename = "nameemail.xls"
fh1 = open(os.path.join(settings.PROJECT_ROOT, TEST_SPREADSHEET_PATH, csv_filename ), 'r')
s = SpreadsheetAbstraction(self.a1, fh1, "people", filename=csv_filename)
csv_data = s.get_rows(0,s.num_rows)
fh1.close()
fh2 = open(os.path.join(settings.PROJECT_ROOT, TEST_SPREADSHEET_PATH, excel_filename ), 'r')
s = SpreadsheetAbstraction(self.a1, fh2, "people", filename=excel_filename)
excel_data = s.get_rows(0,s.num_rows)
fh2.close()
self.assertEqual(csv_data, excel_data)
def upload_complete(self, request, filename, **kwargs):
self._pool.close()
self._pool.join()
self._mp.complete_upload()
# filename is a file at s3. Get it.
f = default_storage.open(filename, 'r')
# parse the file.
s = SpreadsheetAbstraction(request.account, f, request.import_type, filename=filename)
f.close()
# get the number of rows
num_rows = s.num_rows
# see if it has a header
header_row = []
has_header = s.has_header
if s.has_header:
header_row = s.header_row
# get the first five columns
first_rows = s.get_rows(0,8)
return_dict = {
'num_rows': num_rows,
'first_rows': first_rows,
'header_row': header_row,
'has_header': has_header,
'filename':filename,
}
return return_dict