# 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. from datetime import datetime from typing import Any, Optional from unittest.mock import MagicMock, Mock import pandas as pd import pytest from sqlalchemy import types from sqlalchemy.engine import make_url from superset.db_engine_specs.singlestore import SingleStoreSpec from superset.models.sql_lab import Query from superset.utils.core import GenericDataType from tests.unit_tests.db_engine_specs.utils import ( assert_column_spec, assert_convert_dttm, ) from tests.unit_tests.fixtures.common import dttm # noqa: F401 @pytest.mark.parametrize( "target_type,expected_result", [ ("Date", "CAST('2019-01-02' AS DATE)"), ("DateTime", "CAST('2019-01-02 03:04:05.678900' AS DATETIME(6))"), ("Timestamp", "('2019-01-02 03:04:05.678900' :> TIMESTAMP(6))"), ("Time", "CAST('03:04:05.678900' AS TIME(6))"), ("UnknownType", None), ], ) def test_convert_dttm( target_type: str, expected_result: Optional[str], dttm: datetime, # noqa: F811 ) -> None: assert_convert_dttm(SingleStoreSpec, target_type, expected_result, dttm) def test_epoch_to_dttm() -> None: assert SingleStoreSpec.epoch_to_dttm() == "from_unixtime({col})" def test_cancel_query_success() -> None: query = Query() cursor_mock = Mock() assert SingleStoreSpec.cancel_query(cursor_mock, query, "123 5") is True cursor_mock.execute.assert_called_once_with("KILL CONNECTION 123 5") def test_cancel_query_failed() -> None: query = Query() cursor_mock = Mock() cursor_mock.execute.side_effect = Exception("Execution failed") assert SingleStoreSpec.cancel_query(cursor_mock, query, "123 6") is False cursor_mock.execute.assert_called_once_with("KILL CONNECTION 123 6") def test_get_cancel_query_id() -> None: query = Query() cursor_mock = Mock() cursor_mock.fetchone.return_value = (123, 6) assert SingleStoreSpec.get_cancel_query_id(cursor_mock, query) == "123 6" cursor_mock.execute.assert_called_once_with( "SELECT CONNECTION_ID(), AGGREGATOR_ID()" ) def test_get_schema_from_engine_params() -> None: assert ( SingleStoreSpec.get_schema_from_engine_params( make_url("singlestoredb://admin:admin@localhost:10000/dbName!"), {} ) == "dbName!" ) def test_adjust_engine_params() -> None: from flask import current_app as app adjusted = SingleStoreSpec.adjust_engine_params( make_url("singlestoredb://user:password@host:5432/dev"), {}, schema="pro d", ) expected_version = app.config.get("VERSION_STRING", "dev") assert adjusted == ( make_url("singlestoredb://user:password@host:5432/pro%20d"), { "conn_attrs": { "_connector_name": "SingleStore Superset Database Engine", "_connector_version": expected_version, "_product_version": expected_version, } }, ) @pytest.mark.parametrize( "native_type,sqla_type,attrs,generic_type,is_dttm", [ # Numeric ("TINYINT", types.SmallInteger, None, GenericDataType.NUMERIC, False), ("SMALLINT", types.SmallInteger, None, GenericDataType.NUMERIC, False), ("MEDIUMINT", types.Integer, None, GenericDataType.NUMERIC, False), ("INT", types.Integer, None, GenericDataType.NUMERIC, False), ("BIGINT", types.BigInteger, None, GenericDataType.NUMERIC, False), ("YEAR", types.Integer, None, GenericDataType.NUMERIC, False), ("FLOAT", types.Float, None, GenericDataType.NUMERIC, False), ("DOUBLE", types.Float, None, GenericDataType.NUMERIC, False), ("DECIMAL", types.Numeric, None, GenericDataType.NUMERIC, False), ("DECIMAL(10)", types.Numeric, None, GenericDataType.NUMERIC, False), ("DECIMAL(10, 10)", types.Numeric, None, GenericDataType.NUMERIC, False), # String ("CHAR", types.String, None, GenericDataType.STRING, False), ("VARCHAR", types.String, None, GenericDataType.STRING, False), ("TEXT", types.String, None, GenericDataType.STRING, False), ("TINYTEXT", types.String, None, GenericDataType.STRING, False), ("MEDIUMTEXT", types.String, None, GenericDataType.STRING, False), ("LONGTEXT", types.String, None, GenericDataType.STRING, False), ("BINARY", types.LargeBinary, None, GenericDataType.STRING, False), ("VARBINARY", types.LargeBinary, None, GenericDataType.STRING, False), ("BLOB", types.LargeBinary, None, GenericDataType.STRING, False), ("TINYBLOB", types.LargeBinary, None, GenericDataType.STRING, False), ("MEDIUMBLOB", types.LargeBinary, None, GenericDataType.STRING, False), ("LONGBLOB", types.LargeBinary, None, GenericDataType.STRING, False), ("JSON", types.String, None, GenericDataType.STRING, False), ("BSON", types.LargeBinary, None, GenericDataType.STRING, False), ("GEOGRAPHYPOINT", types.String, None, GenericDataType.STRING, False), ("GEOGRAPHY", types.String, None, GenericDataType.STRING, False), ("ENUM('a', 'b')", types.String, None, GenericDataType.STRING, False), ("SET('a', 'b')", types.String, None, GenericDataType.STRING, False), ("BIT", types.LargeBinary, None, GenericDataType.STRING, False), ("VECTOR(3, I32)", types.String, None, GenericDataType.STRING, False), # Temporal ("DATE", types.Date, None, GenericDataType.TEMPORAL, True), ("TIMESTAMP", types.TIMESTAMP, None, GenericDataType.TEMPORAL, True), ("TIMESTAMP(6)", types.TIMESTAMP, None, GenericDataType.TEMPORAL, True), ("TIME", types.Time, None, GenericDataType.TEMPORAL, True), ("TIME(6)", types.Time, None, GenericDataType.TEMPORAL, True), ("DATETIME", types.DateTime, None, GenericDataType.TEMPORAL, True), ("DATETIME(6)", types.DateTime, None, GenericDataType.TEMPORAL, True), ], ) def test_get_column_spec( native_type: str, sqla_type: type[types.TypeEngine], attrs: dict[str, Any] | None, generic_type: GenericDataType, is_dttm: bool, ) -> None: assert_column_spec( SingleStoreSpec, native_type, sqla_type, attrs, generic_type, is_dttm ) def test_get_function_names_no_db() -> None: fake_inspector = MagicMock() fake_inspector.default_schema_name = None mock_inspector_ctx = MagicMock() mock_inspector_ctx.__enter__.return_value = fake_inspector mock_inspector_ctx.__exit__.return_value = None mock_database = MagicMock() mock_database.get_inspector.return_value = mock_inspector_ctx assert len(SingleStoreSpec.get_function_names(mock_database)) == 289 def test_get_function_names_with_db() -> None: mock_inspector = MagicMock() mock_inspector.default_schema_name = "db`1" mock_inspector_ctx = MagicMock() mock_inspector_ctx.__enter__.return_value = mock_inspector mock_inspector_ctx.__exit__.return_value = None mock_database = MagicMock() mock_database.get_inspector.return_value = mock_inspector_ctx data = [ { "Functions_in_db`1": "is_prime", "Function Type": "User Defined Function", "Definer": "admin", "Data Format": "", "Runtime Type": "PSQL", "Link": "", } ] df = pd.DataFrame(data) mock_database.get_df.return_value = df functions = SingleStoreSpec.get_function_names(mock_database) assert len(functions) == 290 assert "is_prime" in functions mock_database.get_df.assert_called_once_with("SHOW FUNCTIONS IN `db``1`")