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265 lines
8.9 KiB
Python
265 lines
8.9 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 decimal import Decimal
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from typing import Any, Optional
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from unittest.mock import Mock, patch
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import pytest
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from sqlalchemy import types
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from sqlalchemy.dialects.mysql import (
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BIT,
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DECIMAL,
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DOUBLE,
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FLOAT,
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INTEGER,
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LONGTEXT,
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MEDIUMINT,
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MEDIUMTEXT,
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TINYINT,
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TINYTEXT,
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)
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from sqlalchemy.engine.url import make_url, URL # noqa: F401
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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 # noqa: F401
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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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# Numeric
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("TINYINT", TINYINT, None, GenericDataType.NUMERIC, False),
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("SMALLINT", types.SmallInteger, None, GenericDataType.NUMERIC, False),
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("MEDIUMINT", MEDIUMINT, None, GenericDataType.NUMERIC, False),
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("INT", INTEGER, None, GenericDataType.NUMERIC, False),
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("BIGINT", types.BigInteger, None, GenericDataType.NUMERIC, False),
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("DECIMAL", DECIMAL, None, GenericDataType.NUMERIC, False),
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("FLOAT", FLOAT, None, GenericDataType.NUMERIC, False),
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("DOUBLE", DOUBLE, None, GenericDataType.NUMERIC, False),
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("BIT", BIT, None, GenericDataType.NUMERIC, False),
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# String
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("CHAR", types.String, None, GenericDataType.STRING, False),
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("VARCHAR", types.String, None, GenericDataType.STRING, False),
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("TINYTEXT", TINYTEXT, None, GenericDataType.STRING, False),
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("MEDIUMTEXT", MEDIUMTEXT, None, GenericDataType.STRING, False),
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("LONGTEXT", LONGTEXT, None, GenericDataType.STRING, False),
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# Temporal
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("DATE", types.Date, None, GenericDataType.TEMPORAL, True),
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("DATETIME", types.DateTime, None, GenericDataType.TEMPORAL, True),
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("TIMESTAMP", types.TIMESTAMP, None, GenericDataType.TEMPORAL, True),
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("TIME", types.Time, 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[types.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.mysql import MySQLEngineSpec 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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"target_type,expected_result",
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[
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("Date", "STR_TO_DATE('2019-01-02', '%Y-%m-%d')"),
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(
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"DateTime",
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"STR_TO_DATE('2019-01-02 03:04:05.678900', '%Y-%m-%d %H:%i:%s.%f')",
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),
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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,
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expected_result: Optional[str],
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dttm: datetime, # noqa: F811
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) -> None:
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from superset.db_engine_specs.mysql import MySQLEngineSpec as spec
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assert_convert_dttm(spec, target_type, expected_result, dttm)
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@pytest.mark.parametrize(
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"sqlalchemy_uri,error",
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[
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("mysql://user:password@host/db1?local_infile=1", True),
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("mysql+mysqlconnector://user:password@host/db1?allow_local_infile=1", True),
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("mysql://user:password@host/db1?local_infile=0", True),
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("mysql+mysqlconnector://user:password@host/db1?allow_local_infile=0", True),
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("mysql://user:password@host/db1", False),
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("mysql+mysqlconnector://user:password@host/db1", False),
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],
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)
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def test_validate_database_uri(sqlalchemy_uri: str, error: bool) -> None:
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from superset.db_engine_specs.mysql import MySQLEngineSpec
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url = make_url(sqlalchemy_uri)
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if error:
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with pytest.raises(ValueError):
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MySQLEngineSpec.validate_database_uri(url)
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return
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MySQLEngineSpec.validate_database_uri(url)
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@pytest.mark.parametrize(
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"sqlalchemy_uri,connect_args,returns",
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[
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("mysql://user:password@host/db1", {"local_infile": 1}, {"local_infile": 0}),
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(
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"mysql+mysqlconnector://user:password@host/db1",
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{"allow_local_infile": 1},
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{"allow_local_infile": 0},
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),
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("mysql://user:password@host/db1", {"local_infile": -1}, {"local_infile": 0}),
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(
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"mysql+mysqlconnector://user:password@host/db1",
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{"allow_local_infile": -1},
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{"allow_local_infile": 0},
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),
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("mysql://user:password@host/db1", {"local_infile": 0}, {"local_infile": 0}),
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(
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"mysql+mysqlconnector://user:password@host/db1",
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{"allow_local_infile": 0},
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{"allow_local_infile": 0},
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),
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(
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"mysql://user:password@host/db1",
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{"param1": "some_value"},
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{"local_infile": 0, "param1": "some_value"},
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),
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(
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"mysql+mysqlconnector://user:password@host/db1",
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{"param1": "some_value"},
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{"allow_local_infile": 0, "param1": "some_value"},
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),
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(
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"mysql://user:password@host/db1",
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{"local_infile": 1, "param1": "some_value"},
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{"local_infile": 0, "param1": "some_value"},
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),
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(
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"mysql+mysqlconnector://user:password@host/db1",
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{"allow_local_infile": 1, "param1": "some_value"},
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{"allow_local_infile": 0, "param1": "some_value"},
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),
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],
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)
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def test_adjust_engine_params(
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sqlalchemy_uri: str, connect_args: dict[str, Any], returns: dict[str, Any]
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) -> None:
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from superset.db_engine_specs.mysql import MySQLEngineSpec
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url = make_url(sqlalchemy_uri)
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returned_url, returned_connect_args = MySQLEngineSpec.adjust_engine_params(
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url, connect_args
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)
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assert returned_connect_args == returns
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@patch("sqlalchemy.engine.Engine.connect")
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def test_get_cancel_query_id(engine_mock: Mock) -> None:
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from superset.db_engine_specs.mysql import MySQLEngineSpec
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from superset.models.sql_lab import Query
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query = Query()
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cursor_mock = engine_mock.return_value.__enter__.return_value
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cursor_mock.fetchone.return_value = ["123"]
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assert MySQLEngineSpec.get_cancel_query_id(cursor_mock, query) == "123"
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@patch("sqlalchemy.engine.Engine.connect")
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def test_cancel_query(engine_mock: Mock) -> None:
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from superset.db_engine_specs.mysql import MySQLEngineSpec
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from superset.models.sql_lab import Query
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query = Query()
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cursor_mock = engine_mock.return_value.__enter__.return_value
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assert MySQLEngineSpec.cancel_query(cursor_mock, query, "123") is True
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@patch("sqlalchemy.engine.Engine.connect")
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def test_cancel_query_failed(engine_mock: Mock) -> None:
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from superset.db_engine_specs.mysql import MySQLEngineSpec
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from superset.models.sql_lab import Query
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query = Query()
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cursor_mock = engine_mock.raiseError.side_effect = Exception()
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assert MySQLEngineSpec.cancel_query(cursor_mock, query, "123") is False
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def test_get_schema_from_engine_params() -> None:
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"""
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Test the ``get_schema_from_engine_params`` method.
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"""
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from superset.db_engine_specs.mysql import MySQLEngineSpec
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assert (
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MySQLEngineSpec.get_schema_from_engine_params(
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make_url("mysql://user:password@host/db1"), {}
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)
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== "db1"
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)
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@pytest.mark.parametrize(
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"data,description,expected_result",
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[
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(
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[("1.23456", "abc")],
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[("dec", "decimal(12,6)"), ("str", "varchar(3)")],
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[(Decimal("1.23456"), "abc")],
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),
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(
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[(Decimal("1.23456"), "abc")],
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[("dec", "decimal(12,6)"), ("str", "varchar(3)")],
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[(Decimal("1.23456"), "abc")],
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),
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(
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[(None, "abc")],
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[("dec", "decimal(12,6)"), ("str", "varchar(3)")],
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[(None, "abc")],
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),
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(
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[("1.23456", "abc")],
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[("dec", "varchar(255)"), ("str", "varchar(3)")],
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[("1.23456", "abc")],
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),
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],
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)
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def test_column_type_mutator(
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data: list[tuple[Any, ...]],
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description: list[Any],
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expected_result: list[tuple[Any, ...]],
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):
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from superset.db_engine_specs.mysql import MySQLEngineSpec as spec
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mock_cursor = Mock()
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mock_cursor.fetchall.return_value = data
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mock_cursor.description = description
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assert spec.fetch_data(mock_cursor) == expected_result
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