#!/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/CMOR_input_example.json")

    table = 'CMIP6_Amon.json'
    cmor.load_table(table)
    axes = [{'table_entry': 'time',
             'units': 'days since 2000-01-01 00:00:00',
             },
            {'table_entry': 'plev19',
             'units': 'Pa',
             'coord_vals': map(float, '100000. 92500. 85000. 70000. 60000. 50000. 40000. 30000. 25000. 20000. 15000. 10000. 7000. 5000. 3000. 2000. 1000. 500. 100.'.split(' '))},
            {'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 (('ta', 'K', 274), ('ua', 'm s-1', 10)):
        values = numpy.array([value, ] *
                             len(axes[1]['coord_vals']), numpy.float32)
        varid = cmor.variable(var,
                              units,
                              axis_ids,
                              history='variable history',
                              missing_value=-99
                              )
        cmor.set_variable_attribute(varid, 'cell_measures', '')
        cmor.write(varid, values, time_vals=[15], time_bnds=[[0, 30]])

    cmor.close()


if __name__ == '__main__':

    main()
