"""
Read SAS sas7bdat or xport files.
"""
from pandas import compat

from pandas.io.common import _stringify_path


def read_sas(filepath_or_buffer, format=None, index=None, encoding=None,
             chunksize=None, iterator=False):
    """
    Read SAS files stored as either XPORT or SAS7BDAT format files.

    Parameters
    ----------
    filepath_or_buffer : string or file-like object
        Path to the SAS file.
    format : string {'xport', 'sas7bdat'} or None
        If None, file format is inferred from file extension. If 'xport' or
        'sas7bdat', uses the corresponding format.
    index : identifier of index column, defaults to None
        Identifier of column that should be used as index of the DataFrame.
    encoding : string, default is None
        Encoding for text data.  If None, text data are stored as raw bytes.
    chunksize : int
        Read file `chunksize` lines at a time, returns iterator.
    iterator : bool, defaults to False
        If True, returns an iterator for reading the file incrementally.

    Returns
    -------
    DataFrame if iterator=False and chunksize=None, else SAS7BDATReader
    or XportReader
    """
    if format is None:
        buffer_error_msg = ("If this is a buffer object rather "
                            "than a string name, you must specify "
                            "a format string")
        filepath_or_buffer = _stringify_path(filepath_or_buffer)
        if not isinstance(filepath_or_buffer, compat.string_types):
            raise ValueError(buffer_error_msg)
        fname = filepath_or_buffer.lower()
        if fname.endswith(".xpt"):
            format = "xport"
        elif fname.endswith(".sas7bdat"):
            format = "sas7bdat"
        else:
            raise ValueError("unable to infer format of SAS file")

    if format.lower() == 'xport':
        from pandas.io.sas.sas_xport import XportReader
        reader = XportReader(filepath_or_buffer, index=index,
                             encoding=encoding,
                             chunksize=chunksize)
    elif format.lower() == 'sas7bdat':
        from pandas.io.sas.sas7bdat import SAS7BDATReader
        reader = SAS7BDATReader(filepath_or_buffer, index=index,
                                encoding=encoding,
                                chunksize=chunksize)
    else:
        raise ValueError('unknown SAS format')

    if iterator or chunksize:
        return reader

    data = reader.read()
    reader.close()
    return data