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import warnings

import numpy as np
import pandas as pd

from opensearch_py_ml.common import EMPTY_SERIES_DTYPE, build_pd_series
from tests.common import assert_series_equal


def test_empty_series_dtypes():
    with warnings.catch_warnings(record=True) as w:
        s = build_pd_series({})
    assert s.dtype == EMPTY_SERIES_DTYPE
    assert w == []

    # Ensure that a passed-in dtype isn't ignore
    # even if the result is empty.
    with warnings.catch_warnings(record=True) as w:
        s = build_pd_series({}, dtype=np.int32)
    assert np.int32 != EMPTY_SERIES_DTYPE
    assert s.dtype == np.int32
    assert w == []


def test_series_os_dtypes(testdata):
    series = testdata.oml_flights_small().AvgTicketPrice
    assert_series_equal(series.os_dtypes, pd.Series(data={"AvgTicketPrice": "float"}))
    assert series.os_dtype == "float"