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


def main():

    cmor.setup(inpath='Tables',
               netcdf_file_action=cmor.CMOR_REPLACE_3)
    cmor.dataset('pre-industrial control', 'ukmo', 'HadCM3', '360_day',
                 institute_id='ukmo',
                 model_id='HadCM3',
                 history='some global history',
                 forcing='N/A',
                 parent_experiment_id='N/A',
                 branch_time=0.,
                 contact='bob')

    table = 'CMIP5_3hr'
    cmor.load_table(table)
    axes = [{'table_entry': 'time1',
             'units': 'hours since 2000-01-01 00:00:00',
             },
            {'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]},
            ]

    values = numpy.array([1.], numpy.float32) + 200
    axis_ids = list()
    for axis in axes:
        axis_id = cmor.axis(**axis)
        axis_ids.append(axis_id)

    varid = cmor.variable('tas',
                          'K',
                          axis_ids,
                          history='variable history',
                          missing_value=-99,
                          )
    cmor.write(varid, values, time_vals=[0.], time_bnds=[[0, 3.]])

    cmor.close()


if __name__ == '__main__':

    main()