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fix(Jinja): Extra cache keys for calculated columns and metrics using Jinja #30735

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Oct 29, 2024
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51 changes: 33 additions & 18 deletions superset/connectors/sqla/models.py
Original file line number Diff line number Diff line change
Expand Up @@ -116,7 +116,6 @@
)
from superset.utils import core as utils, json
from superset.utils.backports import StrEnum
from superset.utils.core import GenericDataType, is_adhoc_column, MediumText

config = app.config
metadata = Model.metadata # pylint: disable=no-member
Expand Down Expand Up @@ -477,7 +476,7 @@ def data_for_slices( # pylint: disable=too-many-locals
]

filtered_columns: list[Column] = []
column_types: set[GenericDataType] = set()
column_types: set[utils.GenericDataType] = set()
for column_ in data["columns"]:
generic_type = column_.get("type_generic")
if generic_type is not None:
Expand Down Expand Up @@ -511,7 +510,7 @@ def data_for_slices( # pylint: disable=too-many-locals
def filter_values_handler( # pylint: disable=too-many-arguments
values: FilterValues | None,
operator: str,
target_generic_type: GenericDataType,
target_generic_type: utils.GenericDataType,
target_native_type: str | None = None,
is_list_target: bool = False,
db_engine_spec: builtins.type[BaseEngineSpec] | None = None,
Expand Down Expand Up @@ -829,10 +828,10 @@ class TableColumn(AuditMixinNullable, ImportExportMixin, CertificationMixin, Mod
advanced_data_type = Column(String(255))
groupby = Column(Boolean, default=True)
filterable = Column(Boolean, default=True)
description = Column(MediumText())
description = Column(utils.MediumText())
table_id = Column(Integer, ForeignKey("tables.id", ondelete="CASCADE"))
is_dttm = Column(Boolean, default=False)
expression = Column(MediumText())
expression = Column(utils.MediumText())
python_date_format = Column(String(255))
extra = Column(Text)

Expand Down Expand Up @@ -892,21 +891,21 @@ def is_boolean(self) -> bool:
"""
Check if the column has a boolean datatype.
"""
return self.type_generic == GenericDataType.BOOLEAN
return self.type_generic == utils.GenericDataType.BOOLEAN

@property
def is_numeric(self) -> bool:
"""
Check if the column has a numeric datatype.
"""
return self.type_generic == GenericDataType.NUMERIC
return self.type_generic == utils.GenericDataType.NUMERIC

@property
def is_string(self) -> bool:
"""
Check if the column has a string datatype.
"""
return self.type_generic == GenericDataType.STRING
return self.type_generic == utils.GenericDataType.STRING

@property
def is_temporal(self) -> bool:
Expand All @@ -918,7 +917,7 @@ def is_temporal(self) -> bool:
"""
if self.is_dttm is not None:
return self.is_dttm
return self.type_generic == GenericDataType.TEMPORAL
return self.type_generic == utils.GenericDataType.TEMPORAL

@property
def database(self) -> Database:
Expand All @@ -935,7 +934,7 @@ def db_extra(self) -> dict[str, Any]:
@property
def type_generic(self) -> utils.GenericDataType | None:
if self.is_dttm:
return GenericDataType.TEMPORAL
return utils.GenericDataType.TEMPORAL

return (
column_spec.generic_type
Expand Down Expand Up @@ -1038,12 +1037,12 @@ class SqlMetric(AuditMixinNullable, ImportExportMixin, CertificationMixin, Model
metric_name = Column(String(255), nullable=False)
verbose_name = Column(String(1024))
metric_type = Column(String(32))
description = Column(MediumText())
description = Column(utils.MediumText())
d3format = Column(String(128))
currency = Column(String(128))
warning_text = Column(Text)
table_id = Column(Integer, ForeignKey("tables.id", ondelete="CASCADE"))
expression = Column(MediumText(), nullable=False)
expression = Column(utils.MediumText(), nullable=False)
extra = Column(Text)

table: Mapped[SqlaTable] = relationship(
Expand Down Expand Up @@ -1185,7 +1184,7 @@ class SqlaTable(
)
schema = Column(String(255))
catalog = Column(String(256), nullable=True, default=None)
sql = Column(MediumText())
sql = Column(utils.MediumText())
is_sqllab_view = Column(Boolean, default=False)
template_params = Column(Text)
extra = Column(Text)
Expand Down Expand Up @@ -1980,10 +1979,26 @@ def has_extra_cache_key_calls(self, query_obj: QueryObjectDict) -> bool:
templatable_statements.append(extras["where"])
if "having" in extras:
templatable_statements.append(extras["having"])
if "columns" in query_obj:
templatable_statements += [
c["sqlExpression"] for c in query_obj["columns"] if is_adhoc_column(c)
]
if columns := query_obj.get("columns"):
calculated_columns: dict[str, Any] = {
c.column_name: c.expression for c in self.columns if c.expression
}
for column_ in columns:
if utils.is_adhoc_column(column_):
templatable_statements.append(column_["sqlExpression"])
elif isinstance(column_, str) and column_ in calculated_columns:
templatable_statements.append(calculated_columns[column_])
if metrics := query_obj.get("metrics"):
metrics_by_name: dict[str, Any] = {
m.metric_name: m.expression for m in self.metrics
}
for metric in metrics:
if utils.is_adhoc_metric(metric) and (
sql := metric.get("sqlExpression")
):
templatable_statements.append(sql)
elif isinstance(metric, str) and metric in metrics_by_name:
templatable_statements.append(metrics_by_name[metric])
if self.is_rls_supported:
templatable_statements += [
f.clause for f in security_manager.get_rls_filters(self)
Expand Down Expand Up @@ -2125,4 +2140,4 @@ class RowLevelSecurityFilter(Model, AuditMixinNullable):
secondary=RLSFilterTables,
backref="row_level_security_filters",
)
clause = Column(MediumText(), nullable=False)
clause = Column(utils.MediumText(), nullable=False)
83 changes: 65 additions & 18 deletions tests/integration_tests/sqla_models_tests.py
Original file line number Diff line number Diff line change
Expand Up @@ -15,11 +15,13 @@
# specific language governing permissions and limitations
# under the License.
# isort:skip_file
from __future__ import annotations

import re
from datetime import datetime
from typing import Any, NamedTuple, Optional, Union
from typing import Any, Literal, NamedTuple, Optional, Union
from re import Pattern
from unittest.mock import patch
from unittest.mock import Mock, patch
import pytest

import numpy as np
Expand Down Expand Up @@ -913,54 +915,99 @@ def test_extra_cache_keys_in_sql_expression(

@pytest.mark.usefixtures("app_context")
@pytest.mark.parametrize(
"sql_expression,expected_cache_keys,has_extra_cache_keys",
"sql_expression,expected_cache_keys,has_extra_cache_keys,item_type",
[
("'{{ current_username() }}'", ["abc"], True),
("(user != 'abc')", [], False),
("'{{ current_username() }}'", ["abc"], True, "columns"),
("(user != 'abc')", [], False, "columns"),
("{{ current_user_id() }}", [1], True, "metrics"),
("COUNT(*)", [], False, "metrics"),
],
)
@patch("superset.jinja_context.get_user_id", return_value=1)
@patch("superset.jinja_context.get_username", return_value="abc")
@patch("superset.jinja_context.get_user_email", return_value="[email protected]")
def test_extra_cache_keys_in_columns(
mock_user_email,
mock_username,
mock_user_id,
sql_expression,
expected_cache_keys,
has_extra_cache_keys,
def test_extra_cache_keys_in_adhoc_metrics_and_columns(
mock_username: Mock,
mock_user_id: Mock,
sql_expression: str,
expected_cache_keys: list[str | None],
has_extra_cache_keys: bool,
item_type: Literal["columns", "metrics"],
):
table = SqlaTable(
table_name="test_has_no_extra_cache_keys_table",
sql="SELECT 'abc' as user",
database=get_example_database(),
)
base_query_obj = {
base_query_obj: dict[str, Any] = {
"granularity": None,
"from_dttm": None,
"to_dttm": None,
"groupby": [],
"metrics": [],
"columns": [],
"is_timeseries": False,
"filter": [],
}

query_obj = dict(
**base_query_obj,
columns=[
items: dict[str, Any] = {
item_type: [
{
"label": None,
"expressionType": "SQL",
"sqlExpression": sql_expression,
}
],
)
}

query_obj = {**base_query_obj, **items}

extra_cache_keys = table.get_extra_cache_keys(query_obj)
assert table.has_extra_cache_key_calls(query_obj) == has_extra_cache_keys
assert extra_cache_keys == expected_cache_keys


@pytest.mark.usefixtures("app_context")
@patch("superset.jinja_context.get_user_id", return_value=1)
@patch("superset.jinja_context.get_username", return_value="abc")
def test_extra_cache_keys_in_dataset_metrics_and_columns(
mock_username: Mock,
mock_user_id: Mock,
):
table = SqlaTable(
table_name="test_has_no_extra_cache_keys_table",
sql="SELECT 'abc' as user",
database=get_example_database(),
columns=[
TableColumn(column_name="user", type="VARCHAR(255)"),
TableColumn(
column_name="username",
type="VARCHAR(255)",
expression="{{ current_username() }}",
),
],
metrics=[
SqlMetric(
metric_name="variable_profit",
expression="SUM(price) * {{ url_param('multiplier') }}",
),
],
)
query_obj: dict[str, Any] = {
"granularity": None,
"from_dttm": None,
"to_dttm": None,
"groupby": [],
"columns": ["username"],
"metrics": ["variable_profit"],
"is_timeseries": False,
"filter": [],
}

extra_cache_keys = table.get_extra_cache_keys(query_obj)
assert table.has_extra_cache_key_calls(query_obj) is True
assert set(extra_cache_keys) == {"abc", None}


@pytest.mark.usefixtures("app_context")
@pytest.mark.parametrize(
"row,dimension,result",
Expand Down
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