Fix attribute error when uploading xls datasets

onadata/apps/api/tests/viewsets/test_xform_viewset.py

@@ -4987,6 +4987,38 @@ def test_form_publishing_floip(self):
                 self.assertEqual(response.status_code, 201, response.data)
                 self.assertEqual(xforms + 1, XForm.objects.count())
 
+    def test_xlsx_import(self):
+        """Ensure XLSX imports work as expected and dates are formatted correctly"""
+        with HTTMock(enketo_mock):
+            xls_path = os.path.join(
+                settings.PROJECT_ROOT,
+                "apps",
+                "main",
+                "tests",
+                "fixtures",
+                "double_image_form.xlsx",
+            )
+            self._publish_xls_form_to_project(xlsform_path=xls_path)
+            view = XFormViewSet.as_view({"post": "data_import"})
+            xls_import = fixtures_path("double_image_field_form_data.xlsx")
+            post_data = {"xls_file": xls_import}
+            request = self.factory.post("/", data=post_data, **self.extra)
+            response = view(request, pk=self.xform.id)
+
+            # check that date columns are formatted correctly
+            self.assertEqual(
+                self.xform.instances.values("json___submission_time")[::1],
+                [
+                    {"json___submission_time": "2023-02-03T10:27:41"},
+                    {"json___submission_time": "2023-02-03T10:27:42"},
+                    {"json___submission_time": "2023-03-13T08:42:57"},
+                ],
+            )
+            self.assertEqual(response.status_code, 200)
+            self.assertEqual(response.get("Cache-Control"), None)
+            self.assertEqual(response.data.get("additions"), 3)
+            self.assertEqual(response.data.get("updates"), 0)
+
     def test_xls_import(self):
         with HTTMock(enketo_mock):
             xls_path = os.path.join(

onadata/apps/api/viewsets/xform_viewset.py

@@ -705,8 +705,9 @@ def data_import(self, request, *args, **kwargs):
                     )
                 else:
                     csv_file.seek(0)
+                    file_name = getattr(csv_file, "name", xls_file and xls_file.name)
                     upload_to = os.path.join(
-                        request.user.username, "csv_imports", csv_file.name
+                        request.user.username, "csv_imports", file_name
                     )
                     file_name = default_storage.save(upload_to, csv_file)
                     task = submit_csv_async.delay(

onadata/libs/utils/csv_import.py

@@ -129,7 +129,7 @@ def dict_merge(part_a, part_b):
     if not isinstance(part_b, dict):
         return part_b
     result = deepcopy(part_a)
-    for (k, v) in iteritems(part_b):
+    for k, v in iteritems(part_b):
         if k in result and isinstance(result[k], dict):
             result[k] = dict_merge(result[k], v)
         else:
@@ -628,16 +628,16 @@ def submission_xls_to_csv(xls_file):  # noqa
         # convert excel dates(floats) to datetime
         for date_column_index in date_columns:
             try:
-                row_values[date_column_index] = (
-                    row_values[date_column_index].strftime("%Y-%m-%d").isoformat()
-                )
+                row_values[date_column_index - 1] = row_values[
+                    date_column_index - 1
+                ].isoformat()
             except (ValueError, TypeError):
                 pass
 
         # convert excel boolean to true/false
         for boolean_column_index in boolean_columns:
-            row_values[boolean_column_index] = bool(
-                row_values[boolean_column_index] == EXCEL_TRUE
+            row_values[boolean_column_index - 1] = bool(
+                row_values[boolean_column_index - 1] == EXCEL_TRUE
             )
 
         csv_writer.writerow(row_values)