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superset2/tests/unit_tests/db_engine_specs/test_semantic_api.py
2026-05-19 16:34:57 -04:00

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Python

# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
# pylint: disable=import-outside-toplevel
from typing import Any
from unittest.mock import MagicMock
from sqlalchemy.engine.url import make_url
from superset.utils import json
def _columns() -> list[dict[str, Any]]:
return [
{
"name": "region",
"type": "TEXT",
"nullable": True,
"default": None,
"comment": "dimension",
},
{
"name": "total_revenue",
"type": "FLOAT",
"nullable": True,
"default": None,
"comment": "metric",
"computed": {"sqltext": "total_revenue", "persisted": True},
},
]
def test_engine_spec_identity() -> None:
"""
The engine and dialect names line up with the shillelagh dialect.
"""
from superset.db_engine_specs.semantic_api import SemanticAPIEngineSpec
assert SemanticAPIEngineSpec.engine == "semanticapi"
assert SemanticAPIEngineSpec.engine_name == "Semantic Layer API"
assert "semanticapi://" in SemanticAPIEngineSpec.sqlalchemy_uri_placeholder
def test_select_star_returns_warning() -> None:
"""
Data preview is replaced with a single-row warning message.
"""
from superset.db_engine_specs.semantic_api import (
SELECT_STAR_MESSAGE,
SemanticAPIEngineSpec,
)
sql = SemanticAPIEngineSpec.select_star()
assert sql.startswith("SELECT '")
assert sql.endswith("' AS warning")
# The single-quote escape is preserved verbatim.
assert SELECT_STAR_MESSAGE.replace("'", "''") in sql
def test_get_columns_filters_metrics() -> None:
"""
Only non-computed columns (dimensions) flow through ``get_columns``.
"""
from superset.db_engine_specs.semantic_api import SemanticAPIEngineSpec
inspector = MagicMock()
inspector.get_columns.return_value = _columns()
table = MagicMock()
table.table = "sales"
table.schema = None
columns = SemanticAPIEngineSpec.get_columns(inspector, table)
assert [c["name"] for c in columns] == ["region"]
assert columns[0]["column_name"] == "region"
def test_adjust_engine_params_folds_extra_into_url() -> None:
"""
``additional_configuration`` from ``connect_args`` ends up on the URL query.
"""
from superset.db_engine_specs.semantic_api import SemanticAPIEngineSpec
uri, connect_args = SemanticAPIEngineSpec.adjust_engine_params(
make_url("sqlite://"),
{"additional_configuration": {"workspace": "acme"}, "other": 1},
)
assert "additional_configuration" not in connect_args
assert connect_args["other"] == 1
assert json.loads(uri.query["additional_configuration"]) == {"workspace": "acme"}
def test_adjust_engine_params_string_passthrough() -> None:
"""
A pre-serialised string config is forwarded verbatim.
"""
from superset.db_engine_specs.semantic_api import SemanticAPIEngineSpec
uri, _ = SemanticAPIEngineSpec.adjust_engine_params(
make_url("sqlite://"),
{"additional_configuration": '{"workspace":"acme"}'},
)
assert uri.query["additional_configuration"] == '{"workspace":"acme"}'
def test_adjust_engine_params_no_extra() -> None:
"""
Without ``additional_configuration`` the URL is untouched.
"""
from superset.db_engine_specs.semantic_api import SemanticAPIEngineSpec
uri, connect_args = SemanticAPIEngineSpec.adjust_engine_params(
make_url("sqlite://"),
{"other": 1},
)
assert uri.query == {}
assert connect_args == {"other": 1}
def test_get_metrics_extracts_computed() -> None:
"""
Computed columns become Superset metric definitions.
"""
from superset.db_engine_specs.semantic_api import SemanticAPIEngineSpec
inspector = MagicMock()
inspector.get_columns.return_value = _columns()
table = MagicMock()
table.table = "sales"
table.schema = None
metrics = SemanticAPIEngineSpec.get_metrics(MagicMock(), inspector, table)
assert metrics == [
{
"metric_name": "total_revenue",
"expression": "total_revenue",
"description": "metric",
},
]