Update doesn't update the new of index when MultiIndex is used

[G-D-Petrov]

Describe the bug

Update doesn't handle the index properly when a MultiIndex Dataframe/Series is used.
The old index name is used and the values are set to 0.

Steps/Code to Reproduce

def test_update_with_new_index_name(version_store_factory):    
    lib = version_store_factory(dynamic_schema=True)
    dates = [
        datetime(2018, 1, 1),
        datetime(2018, 1, 2),
        datetime(2018, 1, 3),
        datetime(2018, 1, 4),
        datetime(2018, 1, 5),
        datetime(2018, 1, 6),
    ]
    names = ["A", "B", "C", "D", "E", "F"]
    # Given
    tuples = list(zip(dates, names))
    index = pd.MultiIndex.from_tuples(tuples, names=["date", "names"])

    df = pd.Series([1, 2, 3, 4, 5, 6], index=index)
    lib.write("symbol", df)

    # When
    new_names = ["N_A", "N_B", "N_C", "N_D", "N_E", "N_F"]
    tuples = list(zip(dates, new_names))
    new_index = pd.MultiIndex.from_tuples(tuples, names=["date", "new_names"])
    update_df = pd.Series([7, 8, 9, 10, 11, 12], index=new_index)
    lib.update("symbol", update_df)

    # Then
    result = lib.read("symbol").data

    assert_series_equal(result, update_df)

Expected Results

This test should pass

OS, Python Version and ArcticDB Version

Python: 3.11.11 (main, Dec 4 2024, 08:55:08) [GCC 13.2.0]
OS: Linux-5.15.167.4-microsoft-standard-WSL2-x86_64-with-glibc2.39
ArcticDB: dev

Backend storage used

Any backed

Additional Context

No response