#!/usr/bin/env python
import cmor
import numpy

def main():
    
    cmor.setup(inpath='Tables',
               netcdf_file_action = cmor.CMOR_REPLACE_3)
    cmor.dataset_json("Test/common_user_input.json")
 
    table = 'CMIP6_Oclim.json'
    cmor.load_table(table)
    axes = [ {'table_entry': 'time2',
              'units': 'days since 1850-01-01 00:00:00',
              'coord_vals' : [15.5, 45,],
              'cell_bounds':[[0,31],[31,62]]
              },
             {'table_entry': 'depth_coord',
              'units': 'm',
              'coord_vals': [5000., 3000., 2000., 1000.],
              'cell_bounds': [ 5000., 3000., 2000., 1000.,0]},
             {'table_entry': 'latitude',
              'units': 'degrees_north',
              'coord_vals': [0],
              'cell_bounds': [-1, 1]},             
             {'table_entry': 'longitude',
              'units': 'degrees_east',
              'coord_vals': [90],
              'cell_bounds': [89, 91]},
             ]


    axis_ids = list()
    for axis in axes:
        print 'doing:',axis
        axis_id = cmor.axis(**axis)
        axis_ids.append(axis_id)

    for var, units, value in (('difvso', 'm2 s-1', 274.),):
        values = numpy.ones(map(lambda x: len(x["coord_vals"]),axes))*value
        values=values.astype("f")
        varid = cmor.variable(var,
                              units,
                              axis_ids,
                              history = 'variable history',
                              missing_value = -99
                              )
        cmor.write(varid, values)

    cmor.close()
    
if __name__ == '__main__':

    main()
