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# 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
#
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# KIND, either express or implied.  See the License for the
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from datetime import datetime
from typing import Any, Optional
from unittest import mock

import pytest
import pytz
from pyhive.sqlalchemy_presto import PrestoDialect
from sqlalchemy import sql, text, types
from sqlalchemy.engine.url import make_url

from superset.superset_typing import ResultSetColumnType
from superset.utils.core import GenericDataType
from tests.unit_tests.db_engine_specs.utils import (
    assert_column_spec,
    assert_convert_dttm,
)


@pytest.mark.parametrize(
    "target_type,dttm,expected_result",
    [
        ("VARCHAR", datetime(2022, 1, 1), None),
        ("DATE", datetime(2022, 1, 1), "DATE '2022-01-01'"),
        (
            "TIMESTAMP",
            datetime(2022, 1, 1, 1, 23, 45, 600000),
            "TIMESTAMP '2022-01-01 01:23:45.600000'",
        ),
        (
            "TIMESTAMP WITH TIME ZONE",
            datetime(2022, 1, 1, 1, 23, 45, 600000),
            "TIMESTAMP '2022-01-01 01:23:45.600000'",
        ),
        (
            "TIMESTAMP WITH TIME ZONE",
            datetime(2022, 1, 1, 1, 23, 45, 600000, tzinfo=pytz.UTC),
            "TIMESTAMP '2022-01-01 01:23:45.600000+00:00'",
        ),
    ],
)
def test_convert_dttm(
    target_type: str,
    dttm: datetime,
    expected_result: Optional[str],
) -> None:
    from superset.db_engine_specs.presto import PrestoEngineSpec as spec

    assert_convert_dttm(spec, target_type, expected_result, dttm)


@pytest.mark.parametrize(
    "native_type,sqla_type,attrs,generic_type,is_dttm",
    [
        ("varchar(255)", types.VARCHAR, {"length": 255}, GenericDataType.STRING, False),
        ("varchar", types.String, None, GenericDataType.STRING, False),
        ("char(255)", types.CHAR, {"length": 255}, GenericDataType.STRING, False),
        ("char", types.String, None, GenericDataType.STRING, False),
        ("integer", types.Integer, None, GenericDataType.NUMERIC, False),
        ("time", types.Time, None, GenericDataType.TEMPORAL, True),
        ("timestamp", types.TIMESTAMP, None, GenericDataType.TEMPORAL, True),
    ],
)
def test_get_column_spec(
    native_type: str,
    sqla_type: type[types.TypeEngine],
    attrs: Optional[dict[str, Any]],
    generic_type: GenericDataType,
    is_dttm: bool,
) -> None:
    from superset.db_engine_specs.presto import PrestoEngineSpec as spec

    assert_column_spec(spec, native_type, sqla_type, attrs, generic_type, is_dttm)


def test_get_schema_from_engine_params() -> None:
    """
    Test the ``get_schema_from_engine_params`` method.
    """
    from superset.db_engine_specs.presto import PrestoEngineSpec

    assert (
        PrestoEngineSpec.get_schema_from_engine_params(
            make_url("presto://localhost:8080/hive/default"),
            {},
        )
        == "default"
    )

    assert (
        PrestoEngineSpec.get_schema_from_engine_params(
            make_url("presto://localhost:8080/hive"),
            {},
        )
        is None
    )


@mock.patch("superset.db_engine_specs.presto.PrestoEngineSpec.latest_partition")
@pytest.mark.parametrize(
    ["column_type", "column_value", "expected_value"],
    [
        (types.DATE(), "2023-05-01", "DATE '2023-05-01'"),
        (types.TIMESTAMP(), "2023-05-01", "TIMESTAMP '2023-05-01'"),
        (types.VARCHAR(), "2023-05-01", "'2023-05-01'"),
        (types.INT(), 1234, "1234"),
    ],
)
def test_where_latest_partition(
    mock_latest_partition, column_type, column_value: Any, expected_value: str
) -> None:
    """
    Test the ``where_latest_partition`` method
    """
    from superset.db_engine_specs.presto import PrestoEngineSpec as spec

    mock_latest_partition.return_value = (["partition_key"], [column_value])

    query = sql.select(text("* FROM table"))
    columns: list[ResultSetColumnType] = [
        {
            "column_name": "partition_key",
            "name": "partition_key",
            "type": column_type,
            "is_dttm": False,
        }
    ]

    expected = f"""SELECT * FROM table \nWHERE "partition_key" = {expected_value}"""
    result = spec.where_latest_partition(
        "table", mock.MagicMock(), mock.MagicMock(), query, columns
    )
    assert result is not None
    actual = result.compile(
        dialect=PrestoDialect(), compile_kwargs={"literal_binds": True}
    )

    assert str(actual) == expected