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#
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from unittest.mock import patch

import pytest
from sqlalchemy import literal, select

from superset.commands.datasource.list import (
    _dataset_schema,
    _semantic_view_schema,
    GetCombinedDatasourceListCommand,
)


def test_parse_filters_semantic_view_requires_dataset_operator() -> None:
    (
        source_type,
        name_filter,
        sql_filter,
        type_filter,
        database_id,
        semantic_layer_uuid,
    ) = GetCombinedDatasourceListCommand._parse_filters(
        [{"col": "sql", "opr": "eq", "value": "semantic_view"}]
    )

    assert source_type == "all"
    assert name_filter is None
    assert sql_filter is None
    assert type_filter is None
    assert database_id is None
    assert semantic_layer_uuid is None


def test_parse_filters_semantic_view_with_dataset_operator() -> None:
    (
        source_type,
        name_filter,
        sql_filter,
        type_filter,
        database_id,
        semantic_layer_uuid,
    ) = GetCombinedDatasourceListCommand._parse_filters(
        [
            {
                "col": "sql",
                "opr": "dataset_is_null_or_empty",
                "value": "semantic_view",
            }
        ]
    )

    assert source_type == "all"
    assert name_filter is None
    assert sql_filter is None
    assert type_filter == "semantic_view"
    assert database_id is None
    assert semantic_layer_uuid is None


def test_parse_filters_sql_bool_requires_dataset_operator() -> None:
    (
        source_type,
        name_filter,
        sql_filter,
        type_filter,
        database_id,
        semantic_layer_uuid,
    ) = GetCombinedDatasourceListCommand._parse_filters(
        [{"col": "sql", "opr": "eq", "value": True}]
    )

    assert source_type == "all"
    assert name_filter is None
    assert sql_filter is None
    assert type_filter is None
    assert database_id is None
    assert semantic_layer_uuid is None


def test_resolve_source_type_semantic_view_filter_forces_semantic_layer() -> None:
    command = GetCombinedDatasourceListCommand(
        args={},
        can_read_datasets=True,
        can_read_semantic_views=True,
    )

    source_type = command._resolve_source_type(
        source_type="all",
        sql_filter=None,
        type_filter="semantic_view",
    )

    assert source_type == "semantic_layer"


def test_resolve_source_type_sql_filter_forces_database() -> None:
    command = GetCombinedDatasourceListCommand(
        args={},
        can_read_datasets=True,
        can_read_semantic_views=True,
    )

    source_type = command._resolve_source_type(
        source_type="all",
        sql_filter=True,
        type_filter=None,
    )

    assert source_type == "database"


@pytest.mark.parametrize(
    "order_column",
    ["unknown", "database.database_name", "id"],
)
def test_run_raises_for_invalid_sort_column(order_column: str) -> None:
    command = GetCombinedDatasourceListCommand(
        args={"order_column": order_column, "order_direction": "desc"},
        can_read_datasets=True,
        can_read_semantic_views=True,
    )

    ds_q = select(
        literal(1).label("item_id"),
        literal("database").label("source_type"),
        literal("2026-01-01").label("changed_on"),
        literal("name").label("table_name"),
    )
    sv_q = select(
        literal(2).label("item_id"),
        literal("semantic_layer").label("source_type"),
        literal("2026-01-01").label("changed_on"),
        literal("name").label("table_name"),
    )

    with (
        patch(
            "superset.commands.datasource.list.DatasourceDAO.build_dataset_query",
            return_value=ds_q,
        ),
        patch(
            "superset.commands.datasource.list.DatasourceDAO.build_semantic_view_query",
            return_value=sv_q,
        ),
        patch(
            "superset.commands.datasource.list.DatasourceDAO.paginate_combined_query",
            side_effect=ValueError(f"Invalid order column: {order_column}"),
        ),
    ):
        with pytest.raises(ValueError, match=f"Invalid order column: {order_column}"):
            command.run()


def test_serialize_rows_injects_rls_filters_for_datasets() -> None:
    """Ensure combined datasource list includes `rls_filters` summaries for datasets."""

    # simple row-like objects returned by paginate_combined_query
    row_cls = type("Row", (), {})
    ds_row = row_cls()
    ds_row.item_id = 1
    ds_row.source_type = "database"

    sv_row = row_cls()
    sv_row.item_id = 2
    sv_row.source_type = "semantic_layer"

    dataset_dict = {
        "id": 1,
        "table_name": "ds1",
        "source_type": "database",
    }
    sv_dict = {
        "id": 2,
        "table_name": "sv1",
        "source_type": "semantic_layer",
    }

    rls_summary = {"id": 11, "name": "test", "filter_type": "Base", "group_key": ""}

    with (
        patch(
            "superset.commands.datasource.list.DatasourceDAO.fetch_datasets_by_ids",
            return_value={1: object()},
        ),
        patch(
            "superset.commands.datasource.list.DatasourceDAO.fetch_semantic_views_by_ids",
            return_value={2: object()},
        ),
        patch.object(_dataset_schema, "dump", return_value=dataset_dict),
        patch.object(_semantic_view_schema, "dump", return_value=sv_dict),
        patch(
            "superset.commands.datasource.list.DatasetDAO.get_rls_filters_for_datasets",
            return_value={1: [rls_summary]},
        ),
    ):
        result = GetCombinedDatasourceListCommand._serialize_rows([ds_row, sv_row])

    # dataset entry should have rls_filters injected
    ds_item = next(x for x in result if x["id"] == 1)
    assert "rls_filters" in ds_item
    assert ds_item["rls_filters"] == [rls_summary]

    # semantic view entry should not have rls_filters injected
    sv_item = next(x for x in result if x["id"] == 2)
    assert "rls_filters" not in sv_item