chore: remove SIP-38 feature flag (#12894)

superset/common/query_object.py

@@ -24,7 +24,7 @@ import simplejson as json
 from flask_babel import gettext as _
 from pandas import DataFrame
 
-from superset import app, is_feature_enabled
+from superset import app
 from superset.exceptions import QueryObjectValidationError
 from superset.typing import Metric
 from superset.utils import pandas_postprocessing
@@ -114,7 +114,6 @@ class QueryObject:
         columns = columns or []
         groupby = groupby or []
         extras = extras or {}
-        is_sip_38 = is_feature_enabled("SIP_38_VIZ_REARCHITECTURE")
         self.annotation_layers = [
             layer
             for layer in annotation_layers
@@ -169,16 +168,7 @@ class QueryObject:
             self.extras["time_range_endpoints"] = get_time_range_endpoints(form_data={})
 
         self.columns = columns
-        if is_sip_38:
-            if groupby:
-                logger.warning(
-                    "The field `groupby` is deprecated. Viz plugins should "
-                    "pass all selectables via the `columns` field"
-                )
-                self.columns += groupby
-        else:
-            self.groupby = groupby or []
-
+        self.groupby = groupby or []
         self.orderby = orderby or []
 
         # rename deprecated fields
@@ -254,6 +244,7 @@ class QueryObject:
     def to_dict(self) -> Dict[str, Any]:
         query_object_dict = {
             "granularity": self.granularity,
+            "groupby": self.groupby,
             "from_dttm": self.from_dttm,
             "to_dttm": self.to_dttm,
             "is_timeseries": self.is_timeseries,
@@ -268,9 +259,6 @@ class QueryObject:
             "columns": self.columns,
             "orderby": self.orderby,
         }
-        if not is_feature_enabled("SIP_38_VIZ_REARCHITECTURE"):
-            query_object_dict["groupby"] = self.groupby
-
         return query_object_dict
 
     def cache_key(self, **extra: Any) -> str:

superset/config.py

@@ -315,7 +315,6 @@ DEFAULT_FEATURE_FLAGS: Dict[str, bool] = {
     "DASHBOARD_CACHE": False,
     "REMOVE_SLICE_LEVEL_LABEL_COLORS": False,
     "SHARE_QUERIES_VIA_KV_STORE": False,
-    "SIP_38_VIZ_REARCHITECTURE": False,
     "TAGGING_SYSTEM": False,
     "SQLLAB_BACKEND_PERSISTENCE": False,
     "LISTVIEWS_DEFAULT_CARD_VIEW": False,

superset/connectors/druid/models.py

@@ -87,7 +87,6 @@ try:
 except ImportError:
     pass
 
-IS_SIP_38 = is_feature_enabled("SIP_38_VIZ_REARCHITECTURE")
 DRUID_TZ = conf.get("DRUID_TZ")
 POST_AGG_TYPE = "postagg"
 metadata = Model.metadata  # pylint: disable=no-member
@@ -1174,8 +1173,7 @@ class DruidDatasource(Model, BaseDatasource):
         )
 
         # the dimensions list with dimensionSpecs expanded
-        columns_ = columns if IS_SIP_38 else groupby
-        dimensions = self.get_dimensions(columns_, columns_dict) if columns_ else []
+        dimensions = self.get_dimensions(groupby, columns_dict) if groupby else []
 
         extras = extras or {}
         qry = dict(
@@ -1209,9 +1207,7 @@ class DruidDatasource(Model, BaseDatasource):
 
         order_direction = "descending" if order_desc else "ascending"
 
-        if (IS_SIP_38 and not metrics and columns and "__time" not in columns) or (
-            not IS_SIP_38 and columns
-        ):
+        if columns:
             columns.append("__time")
             del qry["post_aggregations"]
             del qry["aggregations"]
@@ -1221,20 +1217,11 @@ class DruidDatasource(Model, BaseDatasource):
             qry["granularity"] = "all"
             qry["limit"] = row_limit
             client.scan(**qry)
-        elif (IS_SIP_38 and columns) or (
-            not IS_SIP_38 and not groupby and not having_filters
-        ):
+        elif not groupby and not having_filters:
             logger.info("Running timeseries query for no groupby values")
             del qry["dimensions"]
             client.timeseries(**qry)
-        elif (
-            not having_filters
-            and order_desc
-            and (
-                (IS_SIP_38 and columns and len(columns) == 1)
-                or (not IS_SIP_38 and groupby and len(groupby) == 1)
-            )
-        ):
+        elif not having_filters and order_desc and (groupby and len(groupby) == 1):
             dim = list(qry["dimensions"])[0]
             logger.info("Running two-phase topn query for dimension [{}]".format(dim))
             pre_qry = deepcopy(qry)
@@ -1286,7 +1273,7 @@ class DruidDatasource(Model, BaseDatasource):
             qry["metric"] = list(qry["aggregations"].keys())[0]
             client.topn(**qry)
             logger.info("Phase 2 Complete")
-        elif having_filters or ((IS_SIP_38 and columns) or (not IS_SIP_38 and groupby)):
+        elif having_filters or groupby:
             # If grouping on multiple fields or using a having filter
             # we have to force a groupby query
             logger.info("Running groupby query for dimensions [{}]".format(dimensions))
@@ -1397,9 +1384,7 @@ class DruidDatasource(Model, BaseDatasource):
                 df=df, query=query_str, duration=datetime.now() - qry_start_dttm
             )
 
-        df = self.homogenize_types(
-            df, query_obj.get("columns" if IS_SIP_38 else "groupby", [])
-        )
+        df = self.homogenize_types(df, query_obj.get("groupby", []))
         df.columns = [
             DTTM_ALIAS if c in ("timestamp", "__time") else c for c in df.columns
         ]
@@ -1415,8 +1400,7 @@ class DruidDatasource(Model, BaseDatasource):
         if DTTM_ALIAS in df.columns:
             cols += [DTTM_ALIAS]
 
-        if not IS_SIP_38:
-            cols += query_obj.get("groupby") or []
+        cols += query_obj.get("groupby") or []
         cols += query_obj.get("columns") or []
         cols += query_obj.get("metrics") or []
 

superset/connectors/sqla/models.py

@@ -910,7 +910,6 @@ class SqlaTable(  # pylint: disable=too-many-public-methods,too-many-instance-at
             "filter": filter,
             "columns": [col.column_name for col in self.columns],
         }
-        is_sip_38 = is_feature_enabled("SIP_38_VIZ_REARCHITECTURE")
         template_kwargs.update(self.template_params_dict)
         extra_cache_keys: List[Any] = []
         template_kwargs["extra_cache_keys"] = extra_cache_keys
@@ -939,11 +938,7 @@ class SqlaTable(  # pylint: disable=too-many-public-methods,too-many-instance-at
                     "and is required by this type of chart"
                 )
             )
-        if (
-            not metrics
-            and not columns
-            and (is_sip_38 or (not is_sip_38 and not groupby))
-        ):
+        if not metrics and not columns and not groupby:
             raise QueryObjectValidationError(_("Empty query?"))
 
         metrics_exprs: List[ColumnElement] = []
@@ -975,7 +970,7 @@ class SqlaTable(  # pylint: disable=too-many-public-methods,too-many-instance-at
 
         if metrics or groupby:
             # dedup columns while preserving order
-            columns = columns if is_sip_38 else (groupby or columns)
+            columns = groupby or columns
             select_exprs = []
             for selected in columns:
                 # if groupby field/expr equals granularity field/expr
@@ -1172,7 +1167,7 @@ class SqlaTable(  # pylint: disable=too-many-public-methods,too-many-instance-at
             is_timeseries  # pylint: disable=too-many-boolean-expressions
             and timeseries_limit
             and not time_groupby_inline
-            and ((is_sip_38 and columns) or (not is_sip_38 and groupby))
+            and groupby
         ):
             if self.database.db_engine_spec.allows_joins:
                 # some sql dialects require for order by expressions
@@ -1235,6 +1230,7 @@ class SqlaTable(  # pylint: disable=too-many-public-methods,too-many-instance-at
                     "row_limit": timeseries_limit,
                     "metrics": metrics,
                     "granularity": granularity,
+                    "groupby": groupby,
                     "from_dttm": inner_from_dttm or from_dttm,
                     "to_dttm": inner_to_dttm or to_dttm,
                     "filter": filter,
@@ -1243,8 +1239,6 @@ class SqlaTable(  # pylint: disable=too-many-public-methods,too-many-instance-at
                     "columns": columns,
                     "order_desc": True,
                 }
-                if not is_sip_38:
-                    prequery_obj["groupby"] = groupby
 
                 result = self.query(prequery_obj)
                 prequeries.append(result.query)

superset/models/slice.py

@@ -35,11 +35,7 @@ from superset.models.tags import ChartUpdater
 from superset.tasks.thumbnails import cache_chart_thumbnail
 from superset.utils import core as utils
 from superset.utils.urls import get_url_path
-
-if is_feature_enabled("SIP_38_VIZ_REARCHITECTURE"):
-    from superset.viz_sip38 import BaseViz, viz_types
-else:
-    from superset.viz import BaseViz, viz_types  # type: ignore
+from superset.viz import BaseViz, viz_types  # type: ignore
 
 if TYPE_CHECKING:
     from superset.connectors.base.models import BaseDatasource

superset/views/utils.py

@@ -31,7 +31,7 @@ from flask_babel import _
 from sqlalchemy.orm.exc import NoResultFound
 
 import superset.models.core as models
-from superset import app, dataframe, db, is_feature_enabled, result_set
+from superset import app, dataframe, db, result_set, viz
 from superset.connectors.connector_registry import ConnectorRegistry
 from superset.errors import ErrorLevel, SupersetError, SupersetErrorType
 from superset.exceptions import (
@@ -54,11 +54,6 @@ from superset.viz import BaseViz
 logger = logging.getLogger(__name__)
 stats_logger = app.config["STATS_LOGGER"]
 
-if is_feature_enabled("SIP_38_VIZ_REARCHITECTURE"):
-    from superset import viz_sip38 as viz
-else:
-    from superset import viz  # type: ignore
-
 
 REJECTED_FORM_DATA_KEYS: List[str] = []
 if not app.config["ENABLE_JAVASCRIPT_CONTROLS"]: