from __future__ import (absolute_import, division, print_function, 
                        unicode_literals)

#from .extension import computetd
from .extension import _td
from .decorators import convert_units
from .metadecorators import copy_and_set_metadata
from .util import extract_vars


@copy_and_set_metadata(copy_varname="QVAPOR", name="td", 
                       description="dew point temperature")
@convert_units("temp", "c")
def get_dp(wrfin, timeidx=0, method="cat", squeeze=True, 
           cache=None, meta=True, _key=None, units="degC"):
    """Return the dewpoint temperature.
    
    This functions extracts the necessary variables from the NetCDF file 
    object in order to perform the calculation.
    
    Args:
    
        wrfin (:class:`netCDF4.Dataset`, :class:`Nio.NioFile`, or an \
            iterable): WRF-ARW NetCDF 
            data as a :class:`netCDF4.Dataset`, :class:`Nio.NioFile` 
            or an iterable sequence of the aforementioned types.
        
        timeidx (:obj:`int` or :data:`wrf.ALL_TIMES`, optional): The 
            desired time index. This value can be a positive integer, 
            negative integer, or 
            :data:`wrf.ALL_TIMES` (an alias for None) to return 
            all times in the file or sequence. The default is 0.
        
        method (:obj:`str`, optional): The aggregation method to use for 
            sequences.  Must be either 'cat' or 'join'.  
            'cat' combines the data along the Time dimension.  
            'join' creates a new dimension for the file index.  
            The default is 'cat'.
        
        squeeze (:obj:`bool`, optional): Set to False to prevent dimensions 
            with a size of 1 from being automatically removed from the shape 
            of the output. Default is True.
        
        cache (:obj:`dict`, optional): A dictionary of (varname, ndarray) 
            that can be used to supply pre-extracted NetCDF variables to the 
            computational routines.  It is primarily used for internal 
            purposes, but can also be used to improve performance by 
            eliminating the need to repeatedly extract the same variables 
            used in multiple diagnostics calculations, particularly when using 
            large sequences of files. 
            Default is None.
        
        meta (:obj:`bool`, optional): Set to False to disable metadata and 
            return :class:`numpy.ndarray` instead of 
            :class:`xarray.DataArray`.  Default is True.
            
        _key (:obj:`int`, optional): A caching key. This is used for internal 
            purposes only.  Default is None.
            
        units (:obj:`str`): The desired units.  Refer to the :meth:`getvar` 
            product table for a list of available units for 'td'.  Default 
            is 'degC'.
   
    Returns:
        :class:`xarray.DataArray` or :class:`numpy.ndarray`: The 
        dewpoint temperature.
        If xarray is enabled and the *meta* parameter is True, then the result 
        will be a :class:`xarray.DataArray` object.  Otherwise, the result will 
        be a :class:`numpy.ndarray` object with no metadata.
    
    """
    
    varnames=("P", "PB", "QVAPOR")
    ncvars = extract_vars(wrfin, timeidx, varnames, method, squeeze, cache,
                          meta=False, _key=_key)
    
    p = ncvars["P"]
    pb = ncvars["PB"]
    qvapor = ncvars["QVAPOR"]
    
    # Algorithm requires hPa
    full_p = .01*(p + pb)
    qvapor[qvapor < 0] = 0
    
    td = _td(full_p, qvapor)
    return td

@copy_and_set_metadata(copy_varname="Q2", name="td2", 
                       description="2m dew point temperature")
@convert_units("temp", "c")
def get_dp_2m(wrfin, timeidx=0, method="cat", squeeze=True, 
              cache=None, meta=True, _key=None, units="degC"):
    """Return the 2m dewpoint temperature.
    
    This functions extracts the necessary variables from the NetCDF file 
    object in order to perform the calculation.
    
    Args:
    
        wrfin (:class:`netCDF4.Dataset`, :class:`Nio.NioFile`, or an \
            iterable): WRF-ARW NetCDF 
            data as a :class:`netCDF4.Dataset`, :class:`Nio.NioFile` 
            or an iterable sequence of the aforementioned types.
        
        timeidx (:obj:`int` or :data:`wrf.ALL_TIMES`, optional): The 
            desired time index. This value can be a positive integer, 
            negative integer, or 
            :data:`wrf.ALL_TIMES` (an alias for None) to return 
            all times in the file or sequence. The default is 0.
        
        method (:obj:`str`, optional): The aggregation method to use for 
            sequences.  Must be either 'cat' or 'join'.  
            'cat' combines the data along the Time dimension.  
            'join' creates a new dimension for the file index.  
            The default is 'cat'.
        
        squeeze (:obj:`bool`, optional): Set to False to prevent dimensions 
            with a size of 1 from being automatically removed from the shape 
            of the output. Default is True.
        
        cache (:obj:`dict`, optional): A dictionary of (varname, ndarray) 
            that can be used to supply pre-extracted NetCDF variables to the 
            computational routines.  It is primarily used for internal 
            purposes, but can also be used to improve performance by 
            eliminating the need to repeatedly extract the same variables 
            used in multiple diagnostics calculations, particularly when using 
            large sequences of files. 
            Default is None.
        
        meta (:obj:`bool`, optional): Set to False to disable metadata and 
            return :class:`numpy.ndarray` instead of 
            :class:`xarray.DataArray`.  Default is True.
            
        _key (:obj:`int`, optional): A caching key. This is used for internal 
            purposes only.  Default is None.
            
        units (:obj:`str`): The desired units.  Refer to the :meth:`getvar` 
            product table for a list of available units for 'td2'.  Default 
            is 'degC'.
   
    Returns:
        :class:`xarray.DataArray` or :class:`numpy.ndarray`: The 
        2m dewpoint temperature.
        If xarray is enabled and the *meta* parameter is True, then the result 
        will be a :class:`xarray.DataArray` object.  Otherwise, the result will 
        be a :class:`numpy.ndarray` object with no metadata.
    
    """
    varnames=("PSFC", "Q2")
    ncvars = extract_vars(wrfin, timeidx, varnames, method, squeeze, cache,
                          meta=False, _key=_key)

    # Algorithm requires hPa
    psfc = .01*(ncvars["PSFC"])
    q2 = ncvars["Q2"]
    q2[q2 < 0] = 0
    
    td = _td(psfc, q2)
    
    return td