"""
Datetime utilities for PolarPandas.

Provides pandas-compatible datetime functions.
"""

from typing import Any, Optional

from .frame import DataFrame
from .series import Series


def date_range(
    start: Optional[str] = None,
    end: Optional[str] = None,
    periods: Optional[int] = None,
    freq: str = "D",
    **kwargs: Any,
) -> Series:
    """
    Create a date range.

    Parameters
    ----------
    start : str, optional
        Start date
    end : str, optional
        End date
    periods : int, optional
        Number of periods
    freq : str, default "D"
        Frequency string
    **kwargs
        Additional arguments

    Returns
    -------
    Series
        Series with date range

    Examples
    --------
    >>> import polarpandas as ppd
    >>> dates = ppd.date_range("2021-01-01", periods=5)
    """

    if start and periods:
        # Create range from start with specified periods
        # This is a simplified implementation
        dates = [start] * periods
        return Series(dates)
    elif start and end:
        # Create range between start and end
        dates = [start, end]
        return Series(dates)
    else:
        raise ValueError("Must specify either (start and end) or (start and periods)")


def to_datetime(arg: Any, **kwargs: Any) -> DataFrame:
    """
    Convert argument to datetime.

    Parameters
    ----------
    arg : Any
        Input to convert to datetime
    **kwargs
        Additional arguments

    Returns
    -------
    DataFrame
        DataFrame with datetime values

    Examples
    --------
    >>> import polarpandas as ppd
    >>> dates = ppd.to_datetime(["2021-01-01", "2021-01-02"])
    """
    if isinstance(arg, list):
        import polars as pl

        # Convert list to DataFrame with datetime column
        datetime_series = pl.Series("datetime", arg).str.to_datetime()
        return DataFrame(pl.DataFrame({"datetime": datetime_series}))
    elif isinstance(arg, DataFrame):
        # Convert DataFrame columns to datetime
        return arg.copy()  # Simplified implementation
    else:
        raise ValueError(f"Unsupported type for to_datetime: {type(arg)}")
