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


def main():

    cmor.setup(inpath='/git/cmip5-cmor-tables/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',
                 parent_experiment_rip='N/A',
                 branch_time=0,
                 contact='brian clough')

    table = 'CMIP5_6hrPlev'
    cmor.load_table(table)
    axes = [{'table_entry': 'time1',
             'units': 'hours since 2000-01-01 00:00:00',
             },
            {'table_entry': 'plev3',
             'units': 'Pa',
             'coord_vals': [100000., 92500., 85000., 70000., 60000., 50000., 40000., 30000., 25000., 20000., 15000., 10000., 7000., 5000., 3000., 2000., 1000.]},
            {'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.write(varid, values, time_vals=[0], time_bnds=[[0, 6]])

    cmor.close()


if __name__ == '__main__':

    main()
