from __future__ import print_function
from .test_python_common import *  # common subroutines
import cmor._cmor
import os
pth = os.path.split(os.path.realpath(os.curdir))
if pth[-1] == 'Test':
    ipth = opth = '.'
else:
    ipth = opth = 'Test'

myaxes = numpy.zeros(9, dtype='i')
myaxes2 = numpy.zeros(9, dtype='i')
myvars = numpy.zeros(9, dtype='i')

cmor._cmor.setup(
    ipth,
    cmor.CMOR_REPLACE,
    cmor.CMOR_NORMAL,
    cmor.CMOR_EXIT_ON_MAJOR,
    "",
    1)
cmor.dataset_json("Test/CMOR_input_example.json")
# cmor.dataset_json("Test/CMOR_input_example.json")

tables = []
a = cmor._cmor.load_table("Tables/CMIP6_Omon.json")
tables.append(a)
tables.append(cmor._cmor.load_table("Tables/CMIP6_Amon.json"))
print ('Tables ids:', tables)


axes = []
id = "time"
units = "months since 1980"
myaxes[0] = cmor._cmor.axis(
    id,
    units,
    ntimes,
    Time,
    'd',
    bnds_time,
    2,
    "1 month")
id = 'latitude'
units = "degrees_north"
interval = ""
myaxes[1] = cmor._cmor.axis(id, units, lat, alats, 'd', bnds_lat, 2, interval)
id = "longitude"
units = "degrees_east"
myaxes[2] = cmor._cmor.axis(id, units, lon, alons, 'd', bnds_lon, 2, interval)
id = "plev19"
units = "Pa"
print (plevs.astype("d"))
myaxes[3] = cmor._cmor.axis(
    id,
    units,
    lev2,
    plevs.astype("d"),
    'd',
    None,
    0,
    interval)


myaxes[4] = cmor._cmor.axis(
    "alternate_hybrid_sigma",
    "1",
    5,
    zlevs,
    'd',
    zlev_bnds,
    1,
    interval)


cmor.set_table(tables[0])
myaxes[5] = cmor._cmor.axis("basin", "", 4, regions, 'c', None, 21, interval)
id = 'time'
units = 'months since 1980'
myaxes[7] = cmor._cmor.axis(
    id,
    units,
    ntimes,
    Time,
    'd',
    bnds_time,
    2,
    "1 month")
id = "latitude"
units = "degrees_north"
interval = ""
myaxes[8] = cmor._cmor.axis(id, units, lat, alats, 'd', bnds_lat, 2, interval)

cmor._cmor.set_table(tables[1])


dtmp = -999
dtmp2 = 1.e-4
myaxes2[0] = myaxes[0]
myaxes2[1] = myaxes[3]
myaxes2[2] = myaxes[1]
myaxes2[3] = myaxes[2]

print ('ok doing the vars thing')
myvars[0] = cmor._cmor.variable(
    entry2d[0],
    units2d[0],
    3,
    myaxes,
    'd',
    None,
    dtmp2,
    positive2d[0],
    varin2d[0],
    "no history",
    "no future")
print ('vars 2')
myvars[1] = cmor._cmor.variable(
    entry3d[2],
    units3d[2],
    4,
    myaxes2,
    'd',
    None,
    dtmp2,
    "down",
    varin3d[2],
    "no history",
    "no future")
print ('vars 2')

myaxes2[1] = myaxes[4]
myvars[2] = cmor._cmor.variable(
    entry3d[0],
    units3d[0],
    4,
    myaxes2,
    'd',
    None,
    dtmp2,
    "down",
    varin3d[0],
    "no history",
    "no future")

print ('vars 2')

print ('zfact', type(numpy.array(myaxes2[1])), type(myaxes2))

myvars[3] = cmor._cmor.zfactor(
    int(myaxes2[1]), "p0", "Pa", 0, None, 'd', p0, None)
print ('zfact', myaxes2[1])
myvars[3] = cmor._cmor.zfactor(
    int(myaxes2[1]), "b", "", 1, myaxes2[1], 'd', b_coeff, b_coeff_bnds)
print ('zfact', myaxes2[1])
myvars[3] = cmor._cmor.zfactor(
    int(myaxes2[1]), "a", "", 1, myaxes2[1], 'd', a_coeff, a_coeff_bnds)
#/*   printf("defining ap\n"); */
#/*   for(i=0;i<5;i++) {a_coeff[i]*=1.e3;printf("sending acoef: %i, %lf\n",i,a_coeff[i]);} */
#/*   for(i=0;i<6;i++) {a_coeff_bnds[i]*=1.e5;printf("sending acoef: %i, %lf\n",i,a_coeff_bnds[i]);} */
#/*   ierr = cmor_zfactor(&myvars[3],myaxes2[1],"ap","hPa",1,&myaxes2[1],'d',&a_coeff,&a_coeff_bnds); */
print ('zfact before last')
myvars[3] = cmor._cmor.zfactor(
    int(myaxes2[1]), "ps", "hPa", 3, myaxes, 'd', None, None)
print ('zfact last')

#  /* ok here we decalre a variable for region axis testing */
cmor.set_table(tables[0])
myaxes2[0] = myaxes[7]
myaxes2[1] = myaxes[5]
myaxes2[2] = myaxes[8]

myvars[4] = cmor._cmor.variable(
    "htovgyre",
    "W",
    3,
    myaxes2,
    'd',
    None,
    dtmp2,
    positive2d[0],
    varin2d[0],
    "no history",
    "no future")

cmor.set_table(tables[1])


for i in range(ntimes):
    data2d = read_2d_input_files(i, varin2d[0], lat, lon)
    print ('writing time', i, data2d.shape, data2d, numpy.average(data2d))
    cmor._cmor.write(
        myvars[0],
        numpy.ravel(data2d),
        data2d.dtype.char,
        "",
        1,
        None,
        None,
        None)

cmor._cmor.close(None, 0, 0)