import cmor
import numpy

error_flag = cmor.setup(inpath='Tables', netcdf_file_action=cmor.CMOR_REPLACE)

error_flag = cmor.dataset_json("Test/common_user_input.json")


cmor.load_table("CMIP6_Omon.json")
itime = cmor.axis(table_entry="time", units='months since 2010', coord_vals=numpy.array(
    [0, 1, 2, 3, 4.]), cell_bounds=numpy.array([0, 1, 2, 3, 4, 5.]))
# creates 1 degree grid
nlat = 18
nlon = 36
alats = numpy.arange(180) - 89.5
bnds_lat = numpy.arange(181) - 90
alons = numpy.arange(360) + .5
bnds_lon = numpy.arange(361)
ilat = cmor.axis(
    table_entry='latitude',
    units='degrees_north',
    length=nlat,
    coord_vals=alats,
    cell_bounds=bnds_lat)

ilon = cmor.axis(
    table_entry='longitude',
    length=nlon,
    units='degrees_east',
    coord_vals=alons,
    cell_bounds=bnds_lon)
ivar = cmor.variable(
    table_entry="eparag100",
    axis_ids=[
        itime,
        ilat,
        ilon],
    units='mol m-2 s-1',
    positive="up")

data = numpy.random.random((5, nlat, nlon))
for i in range(0, 5):
    # ,time_vals=numpy.array([i,]),time_bnds=numpy.array([i,i+1]))
    cmor.write(ivar, data[i:i])
error_flag = cmor.close()