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#===========================================================================
#
# UnitDblConverter
#
#===========================================================================

"""UnitDblConverter module containing class UnitDblConverter."""

#===========================================================================
# Place all imports after here.
#
import numpy as np
import matplotlib.units as units
import matplotlib.ticker as ticker
import matplotlib.projections.polar as polar
from matplotlib.cbook import iterable
#
# Place all imports before here.
#===========================================================================

__all__ = [ 'UnitDblConverter' ]

#===========================================================================

# A special function for use with the matplotlib FuncFormatter class
# for formatting axes with radian units.
# This was copied from matplotlib example code.
def rad_fn(x, pos = None ):
   """Radian function formatter."""
   n = int((x / np.pi) * 2.0 + 0.25)
   if n == 0:
      return str(x)
   elif n == 1:
      return r'$\pi/2$'
   elif n == 2:
      return r'$\pi$'
   elif n % 2 == 0:
      return r'$%s\pi$' % (n/2,)
   else:
      return r'$%s\pi/2$' % (n,)

#===========================================================================
class UnitDblConverter( units.ConversionInterface ):
   """: A matplotlib converter class.  Provides matplotlib conversion
        functionality for the Monte UnitDbl class.
   """

   # default for plotting
   defaults = {
                 "distance" : 'km',
                 "angle" : 'deg',
                 "time" : 'sec',
              }

   #------------------------------------------------------------------------
   @staticmethod
   def axisinfo( unit, axis ):
      """: Returns information on how to handle an axis that has Epoch data.

      = INPUT VARIABLES
      - unit    The units to use for a axis with Epoch data.

      = RETURN VALUE
      - Returns a matplotlib AxisInfo data structure that contains
        minor/major formatters, major/minor locators, and default
        label information.
      """
      # Delay-load due to circular dependencies.
      import matplotlib.testing.jpl_units as U

      # Check to see if the value used for units is a string unit value
      # or an actual instance of a UnitDbl so that we can use the unit
      # value for the default axis label value.
      if ( unit ):
         if ( isinstance( unit, str ) ):
            label = unit
         else:
            label = unit.label()
      else:
         label = None

      if ( label == "rad" ):
         # If the axis units are in radians, then use a special function for
         # applying format control.
         majfmt = ticker.FuncFormatter( rad_fn )
      elif ( label == "deg" ) and isinstance( axis.axes, polar.PolarAxes ):
         # If we want degrees for a polar plot, use the PolarPlotFormatter
         majfmt = polar.PolarAxes.ThetaFormatter()
      else:
         majfmt = U.UnitDblFormatter( useOffset = False )

      return units.AxisInfo( majfmt = majfmt, label = label )

   #------------------------------------------------------------------------
   @staticmethod
   def convert( value, unit, axis ):
      """: Convert value using unit to a float.  If value is a sequence, return
      the converted sequence.

      = INPUT VARIABLES
      - value   The value or list of values that need to be converted.
      - unit    The units to use for a axis with Epoch data.

      = RETURN VALUE
      - Returns the value parameter converted to floats.
      """
      # Delay-load due to circular dependencies.
      import matplotlib.testing.jpl_units as U

      isNotUnitDbl = True

      if ( iterable(value) and not isinstance(value, str) ):
         if ( len(value) == 0 ):
            return []
         else:
            return [ UnitDblConverter.convert( x, unit, axis ) for x in value ]

      # We need to check to see if the incoming value is actually a UnitDbl and
      # set a flag.  If we get an empty list, then just return an empty list.
      if ( isinstance(value, U.UnitDbl) ):
         isNotUnitDbl = False

      # If the incoming value behaves like a number, but is not a UnitDbl,
      # then just return it because we don't know how to convert it
      # (or it is already converted)
      if ( isNotUnitDbl and units.ConversionInterface.is_numlike( value ) ):
         return value

      # If no units were specified, then get the default units to use.
      if ( unit == None ):
         unit = UnitDblConverter.default_units( value, axis )

      # Convert the incoming UnitDbl value/values to float/floats
      if isinstance( axis.axes, polar.PolarAxes ) and (value.type() == "angle"):
         # Guarantee that units are radians for polar plots.
         return value.convert( "rad" )

      return value.convert( unit )

   #------------------------------------------------------------------------
   @staticmethod
   def default_units( value, axis ):
      """: Return the default unit for value, or None.

      = INPUT VARIABLES
      - value   The value or list of values that need units.

      = RETURN VALUE
      - Returns the default units to use for value.
      Return the default unit for value, or None.
      """

      # Determine the default units based on the user preferences set for
      # default units when printing a UnitDbl.
      if ( iterable(value) and not isinstance(value, str) ):
         return UnitDblConverter.default_units( value[0], axis )
      else:
         return UnitDblConverter.defaults[ value.type() ]