import cmor,numpy

nlat = 10
dlat = 180./nlat
nlon = 20
dlon = 360./nlon
nlev = 17
ntimes = 1

lats = numpy.arange(90-dlat/2.,-90,-dlat)
blats = numpy.arange(90,-90-dlat,-dlat)
lats2 = numpy.arange(-90+dlat/2.,90,dlat)
blats2 = numpy.arange(-90,90+dlat,dlat)
lons = numpy.arange(0+dlon/2.,360.,dlon)
blons = numpy.arange(0,360.+dlon,dlon)

cmor.setup(inpath='.',netcdf_file_action=cmor.CMOR_REPLACE)
cmor.dataset('historical', 'ukmo', 'HadCM3', 'gregorian',model_id='HadCM3',outpath='Test',forcing='TO, Nat', contact="Jonathan sanchez",parent_experiment_id="lgm",parent_experiment_rip="r1i1p1",branch_time=0,institute_id='pcmdi')
table='Tables/CMIP5_Amon'
cmor.load_table(table)

data = lats[:,numpy.newaxis]*lons[numpy.newaxis,:]

data = ( data + 29000 ) / 750. + 233.2


ilat = cmor.axis(table_entry='latitude',coord_vals=lats,cell_bounds=blats,units='degrees_north')
ilat2 = cmor.axis(table_entry='latitude',coord_vals=lats2,cell_bounds=blats2,units='degrees_north')
ilon = cmor.axis(table_entry='longitude',coord_vals=lons,cell_bounds=blons,units='degrees_east')
itim = cmor.axis(table_entry='time',units='months since 2010')


ivar = cmor.variable(table_entry='tasmin',units='K',axis_ids=[itim,ilat,ilon])
cmor.write(ivar,data,ntimes_passed=1,time_vals=[0.],time_bnds=[0.,1.])
fnm = cmor.close(ivar,file_name=True)

print '*******************************'

ivar2 = cmor.variable(table_entry='tasmin',units='K',axis_ids=[itim,ilat2,ilon])
cmor.write(ivar2,data,ntimes_passed=1,time_vals=[1.],time_bnds=[1.,2.])
fnm2 = cmor.close(ivar2,file_name=True)

## import cdms2,vcs
## x=vcs.init()
## x.portrait()
## import EzTemplate
## M=EzTemplate.Multi(columns=1,rows=3)
## print 'Getting templates'
## t1=M.get()
## t2=M.get()
## print 'Plotting'
## x.plot(data,t1)
## f=cdms2.open(fnm)
## s=f("tasmin")
## print 'Ok data read, shape:',s.shape
## x.plot(s,t2)
## f=cdms2.open(fnm2)
## s=f("tasmin")
## print 'Ok data read, shape:',s.shape
## x.plot(s,M.get())

## raw_input()