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#
#   http://www.apache.org/licenses/LICENSE-2.0
#
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# pylint: disable=unused-argument, import-outside-toplevel
from superset.dataframe import df_to_records
from superset.typing import DbapiDescription


def test_df_to_records(app_context: None) -> None:
    from superset.db_engine_specs import BaseEngineSpec
    from superset.result_set import SupersetResultSet

    data = [("a1", "b1", "c1"), ("a2", "b2", "c2")]
    cursor_descr: DbapiDescription = [
        (column, "string", None, None, None, None, False) for column in ("a", "b", "c")
    ]
    results = SupersetResultSet(data, cursor_descr, BaseEngineSpec)
    df = results.to_pandas_df()

    assert df_to_records(df) == [
        {"a": "a1", "b": "b1", "c": "c1"},
        {"a": "a2", "b": "b2", "c": "c2"},
    ]


def test_js_max_int(app_context: None) -> None:
    from superset.db_engine_specs import BaseEngineSpec
    from superset.result_set import SupersetResultSet

    data = [(1, 1239162456494753670, "c1"), (2, 100, "c2")]
    cursor_descr: DbapiDescription = [
        ("a", "int", None, None, None, None, False),
        ("b", "int", None, None, None, None, False),
        ("c", "string", None, None, None, None, False),
    ]
    results = SupersetResultSet(data, cursor_descr, BaseEngineSpec)
    df = results.to_pandas_df()

    assert df_to_records(df) == [
        {"a": 1, "b": "1239162456494753670", "c": "c1"},
        {"a": 2, "b": 100, "c": "c2"},
    ]