import cmor
import numpy

ipth = "Test"
cmor.setup(inpath=ipth,
           set_verbosity=cmor.CMOR_NORMAL,
           netcdf_file_action=cmor.CMOR_REPLACE,
           logfile=None)

cmor.dataset(
    outpath=ipth,
    experiment_id="lgm",
    institution="PCMDI",
    source="PCMDI",
    calendar="standard",
    model_id="pcmdi-09a", forcing="forcing")

cmor.load_table("Tables/CMIP6_Omon.json")

nlat = 90
dlat = 180 / nlat
nlon = 180
dlon = 360. / nlon
nlev = 5

lats = numpy.arange(-90 + dlat / 2., 90, dlat)
blats = numpy.arange(-90, 90 + dlat, dlat)
lons = numpy.arange(0 + dlon / 2., 360., dlon)
blons = numpy.arange(0, 360. + dlon, dlon)

ntime = 12

data = numpy.random.random((ntime, nlat, nlev, nlon)) * 5 + 273.

itim = cmor.axis(
    table_entry='time', coord_vals=numpy.arange(
        0, ntime, 1), units='month since 2008', cell_bounds=numpy.arange(
            0, ntime + 1, 1))
ilat = cmor.axis(
    table_entry='latitude',
    coord_vals=lats,
    units='degrees_north',
    cell_bounds=blats)
ilon = cmor.axis(
    table_entry='longitude',
    coord_vals=lons,
    units='degrees_east',
    cell_bounds=blons)
ilev = cmor.axis(table_entry='depth_coord',
                 length=5,
                 cell_bounds=numpy.arange(-12000,
                                          0,
                                          2000),
                 coord_vals=numpy.arange(-10000,
                                         0,
                                         2000),
                 units="m")

iv = cmor.variable(
    table_entry='thetao', axis_ids=numpy.array(
        (itim, ilat, ilev, ilon)), units='K')

cmor.write(iv, data)

f1 = cmor.close(iv, file_name=True)
print(f1)
