mirror of https://github.com/apache/superset.git
131 lines
5.0 KiB
Python
131 lines
5.0 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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from datetime import datetime
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from typing import Any, Optional
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from unittest.mock import Mock
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import pytest
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from sqlalchemy.types import (
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Boolean,
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Date,
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DateTime,
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DECIMAL,
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Float,
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Integer,
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String,
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TypeEngine,
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)
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from urllib3.connection import HTTPConnection
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from superset.utils.core import GenericDataType
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from tests.unit_tests.db_engine_specs.utils import (
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assert_column_spec,
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assert_convert_dttm,
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)
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from tests.unit_tests.fixtures.common import dttm
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@pytest.mark.parametrize(
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"target_type,expected_result",
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[
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("Date", "to_date('2019-01-02')"),
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("DateTime", "to_dateTime('2019-01-02 03:04:05')"),
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("UnknownType", None),
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],
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)
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def test_convert_dttm(
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target_type: str, expected_result: Optional[str], dttm: datetime
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) -> None:
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from superset.db_engine_specs.databend import DatabendEngineSpec as spec
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assert_convert_dttm(spec, target_type, expected_result, dttm)
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def test_execute_connection_error() -> None:
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from urllib3.exceptions import NewConnectionError
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from superset.db_engine_specs.databend import DatabendEngineSpec
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from superset.db_engine_specs.exceptions import SupersetDBAPIDatabaseError
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cursor = Mock()
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cursor.execute.side_effect = NewConnectionError(
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HTTPConnection("Dummypool"), "Exception with sensitive data"
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)
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with pytest.raises(SupersetDBAPIDatabaseError) as ex:
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DatabendEngineSpec.execute(cursor, "SELECT col1 from table1")
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@pytest.mark.parametrize(
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"native_type,sqla_type,attrs,generic_type,is_dttm",
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[
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("Varchar", String, None, GenericDataType.STRING, False),
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("Nullable(Varchar)", String, None, GenericDataType.STRING, False),
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("Array(UInt8)", String, None, GenericDataType.STRING, False),
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("Int8", Integer, None, GenericDataType.NUMERIC, False),
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("Int16", Integer, None, GenericDataType.NUMERIC, False),
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("Int32", Integer, None, GenericDataType.NUMERIC, False),
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("Int64", Integer, None, GenericDataType.NUMERIC, False),
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("Int128", Integer, None, GenericDataType.NUMERIC, False),
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("Int256", Integer, None, GenericDataType.NUMERIC, False),
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("Nullable(Int64)", Integer, None, GenericDataType.NUMERIC, False),
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("UInt8", Integer, None, GenericDataType.NUMERIC, False),
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("UInt16", Integer, None, GenericDataType.NUMERIC, False),
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("UInt32", Integer, None, GenericDataType.NUMERIC, False),
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("UInt64", Integer, None, GenericDataType.NUMERIC, False),
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("UInt128", Integer, None, GenericDataType.NUMERIC, False),
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("UInt256", Integer, None, GenericDataType.NUMERIC, False),
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("Float", Float, None, GenericDataType.NUMERIC, False),
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("Double", Float, None, GenericDataType.NUMERIC, False),
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("Decimal(1, 2)", DECIMAL, None, GenericDataType.NUMERIC, False),
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("Decimal32(2)", DECIMAL, None, GenericDataType.NUMERIC, False),
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("Decimal64(2)", DECIMAL, None, GenericDataType.NUMERIC, False),
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("Decimal128(2)", DECIMAL, None, GenericDataType.NUMERIC, False),
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("Decimal256(2)", DECIMAL, None, GenericDataType.NUMERIC, False),
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("Bool", Boolean, None, GenericDataType.BOOLEAN, False),
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("Nullable(Bool)", Boolean, None, GenericDataType.BOOLEAN, False),
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("Date", Date, None, GenericDataType.TEMPORAL, True),
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("Nullable(Date)", Date, None, GenericDataType.TEMPORAL, True),
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("Datetime", DateTime, None, GenericDataType.TEMPORAL, True),
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("Nullable(Datetime)", DateTime, None, GenericDataType.TEMPORAL, True),
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],
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)
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def test_get_column_spec(
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native_type: str,
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sqla_type: type[TypeEngine],
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attrs: Optional[dict[str, Any]],
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generic_type: GenericDataType,
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is_dttm: bool,
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) -> None:
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from superset.db_engine_specs.databend import DatabendConnectEngineSpec as spec
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assert_column_spec(spec, native_type, sqla_type, attrs, generic_type, is_dttm)
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@pytest.mark.parametrize(
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"column_name,expected_result",
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[
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("time", "time_07cc69"),
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("count", "count_e2942a"),
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],
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)
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def test_make_label_compatible(column_name: str, expected_result: str) -> None:
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from superset.db_engine_specs.databend import DatabendConnectEngineSpec as spec
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label = spec.make_label_compatible(column_name)
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assert label == expected_result
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