plugin-sdk-python/tests/scalar/timestamp.py at main · cloudquery/plugin-sdk-python · GitHub

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import pytest
from datetime import datetime
from cloudquery.sdk.scalar import Timestamp
import pandas as pd


@pytest.mark.parametrize(
    "input_value,expected_scalar",
    [
        (
            datetime.strptime("2006-01-02T15:04:05", "%Y-%m-%dT%H:%M:%S"),
            Timestamp(
                True,
                pd.to_datetime("2006-01-02 15:04:05"),
            ),
        ),
        (
            "2006-01-02T15:04:05Z",
            Timestamp(
                True,
                pd.to_datetime("2006-01-02 15:04:05Z"),
            ),
        ),
        (
            "2006-01-02T15:04:05Z07:00",
            Timestamp(
                True,
                pd.to_datetime("2006-01-02T15:04:05Z07:00"),
            ),
        ),
        (
            "2006-01-02 15:04:05.999999999 -0700",
            #            "2006-01-02 15:04:05.999999999 -0700 MST",
            Timestamp(
                True,
                pd.to_datetime("2006-01-02 15:04:05.999999999 -0700"),
            ),
        ),
        (
            "2006-01-02 15:04:05.999999999",
            Timestamp(
                True,
                pd.to_datetime("2006-01-02 15:04:05.999999999"),
            ),
        ),
        (
            "2006-01-02 15:04:05.999999999Z",
            Timestamp(
                True,
                pd.to_datetime("2006-01-02 15:04:05.999999999Z"),
            ),
        ),
    ],
)
def test_timestamp_set(input_value, expected_scalar):
    b = Timestamp()
    b.set(input_value)
    assert b == expected_scalar, f"{b} and {expected_scalar} are not equal"