chore(translations): updating pot -> po -> json files (babel 2.9.1)

superset/commands/chart/delete.py

@@ -60,7 +60,8 @@ def validate(self) -> None:
         if reports := ReportScheduleDAO.find_by_chart_ids(self._model_ids):
             report_names = [report.name for report in reports]
             raise ChartDeleteFailedReportsExistError(
-                _(f"There are associated alerts or reports: {','.join(report_names)}")
+                _("There are associated alerts or reports: %(report_names)s")
+                % {"report_names": ",".join(report_names)}
             )
         # Check ownership
         for model in self._models:

superset/commands/dashboard/delete.py

@@ -60,7 +60,8 @@ def validate(self) -> None:
         if reports := ReportScheduleDAO.find_by_dashboard_ids(self._model_ids):
             report_names = [report.name for report in reports]
             raise DashboardDeleteFailedReportsExistError(
-                _(f"There are associated alerts or reports: {','.join(report_names)}")
+                _("There are associated alerts or reports: %(report_names)s")
+                % {"report_names": ",".join(report_names)}
             )
         # Check ownership
         for model in self._models:

superset/commands/database/delete.py

@@ -59,7 +59,8 @@ def validate(self) -> None:
         if reports := ReportScheduleDAO.find_by_database_id(self._model_id):
             report_names = [report.name for report in reports]
             raise DatabaseDeleteFailedReportsExistError(
-                _(f"There are associated alerts or reports: {','.join(report_names)}")
+                _("There are associated alerts or reports: %(report_names)s")
+                % {"report_names": ",".join(report_names)}
             )
         # Check if there are datasets for this database
         if self._model.tables:

superset/commands/database/validate_sql.py

@@ -97,7 +97,8 @@ def validate(self) -> None:
         if not validators_by_engine or spec.engine not in validators_by_engine:
             raise NoValidatorConfigFoundError(
                 SupersetError(
-                    message=__(f"no SQL validator is configured for {spec.engine}"),
+                    message=__("no SQL validator is configured for %(engine)s")
+                    % {"engine": spec.engine},
                     error_type=SupersetErrorType.GENERIC_DB_ENGINE_ERROR,
                     level=ErrorLevel.ERROR,
                 ),
@@ -108,9 +109,10 @@ def validate(self) -> None:
             raise NoValidatorFoundError(
                 SupersetError(
                     message=__(
-                        f"No validator named {validator_name} found "
-                        f"(configured for the {spec.engine} engine)"
-                    ),
+                        "No validator named %(validator_name)s found "
+                        "(configured for the %(engine)s engine)"
+                    )
+                    % {"validator_name": validator_name, "engine": spec.engine},
                     error_type=SupersetErrorType.GENERIC_DB_ENGINE_ERROR,
                     level=ErrorLevel.ERROR,
                 ),

superset/commands/report/alert.py

@@ -96,17 +96,19 @@ def _validate_result(rows: np.recarray[Any, Any]) -> None:
         if len(rows) > 1:
             raise AlertQueryMultipleRowsError(
                 message=_(
-                    f"Alert query returned more than one row. {len(rows)} rows returned"
+                    "Alert query returned more than one row. %(num_rows)s rows returned"
                 )
+                % {"num_rows": len(rows)}
             )
         # check if query returned more than one column
         if len(rows[0]) > 2:
             raise AlertQueryMultipleColumnsError(
                 # len is subtracted by 1 to discard pandas index column
                 _(
-                    f"Alert query returned more than one column. "
-                    f"{(len(rows[0]) - 1)} columns returned"
+                    "Alert query returned more than one column. "
+                    "%(num_columns)s columns returned"
                 )
+                % {"num_columns": len(rows[0]) - 1}
             )
 
     def _validate_operator(self, rows: np.recarray[Any, Any]) -> None: