feat: handle chart/data API errors (#14040)

tests/charts/api_tests.py

@@ -38,6 +38,7 @@ from tests.fixtures.world_bank_dashboard import load_world_bank_dashboard_with_s
 from tests.test_app import app
 from superset.charts.commands.data import ChartDataCommand
 from superset.connectors.sqla.models import SqlaTable, TableColumn
+from superset.errors import SupersetErrorType
 from superset.extensions import async_query_manager, cache_manager, db
 from superset.models.annotations import AnnotationLayer
 from superset.models.core import Database, FavStar, FavStarClassName
@@ -47,6 +48,7 @@ from superset.models.slice import Slice
 from superset.utils import core as utils
 from superset.utils.core import AnnotationType, get_example_database, get_main_database
 
+
 from tests.base_api_tests import ApiOwnersTestCaseMixin
 from tests.base_tests import SupersetTestCase, post_assert_metric, test_client
 
@@ -1345,6 +1347,11 @@ class TestChartApi(SupersetTestCase, ApiOwnersTestCaseMixin, InsertChartMixin):
         payload = get_query_context("birth_names")
         rv = self.post_assert_metric(CHART_DATA_URI, payload, "data")
         self.assertEqual(rv.status_code, 401)
+        response_payload = json.loads(rv.data.decode("utf-8"))
+        assert (
+            response_payload["errors"][0]["error_type"]
+            == SupersetErrorType.DATASOURCE_SECURITY_ACCESS_ERROR
+        )
 
     @pytest.mark.usefixtures("load_birth_names_dashboard_with_slices")
     def test_chart_data_jinja_filter_request(self):