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import os, sys
import numpy as np
import scipy.io
import mpi4py.MPI as MPI
#sys.path.append("/public/home/weichengliang/lnData/CSST_new_framwork/csstPSF_20201222")
# import PSFConfig as myConfig
# import PSFUtil as myUtil
import PSFConfig
import PSFUtil
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def mkdir(path):
isExists = os.path.exists(path)
if not isExists:
os.mkdir(path)
############################################
comm = MPI.COMM_WORLD
ThisTask = comm.Get_rank()
NTasks = comm.Get_size()
npsf = 900
psfPath = '/data/simudata/CSSOSDataProductsSims/data/csstPSFdata/CSSOS_psf_20210108/CSST_psf_ciomp_2p5um_cycle3_ccr90'
npsfPerTasks = int(npsf/NTasks)
iStart= 0 + npsfPerTasks*ThisTask
iEnd = npsfPerTasks + npsfPerTasks*ThisTask
if ThisTask == NTasks:
iEnd = npsf
for iccd in range(1, 31):
iccdPath = psfPath + '_proc/ccd{:}'.format(iccd)
if ThisTask == 0:
mkdir(iccdPath)
comm.barrier()
for iwave in range(1, 5):
iwavePath = iccdPath + '/wave_{:}'.format(iwave)
if ThisTask == 0:
mkdir(iwavePath)
comm.barrier()
psfMatPath = iwavePath + '/5_psf_array'
if ThisTask == 0:
mkdir(psfMatPath)
comm.barrier()
for ii in range(iStart, iEnd):
ipsf = ii+1
if ThisTask ==0:
print('iccd-iwave-ipsf: {:4}{:4}{:4}'.format(iccd, iwave, ipsf), end='\r',flush=True)
#if iccd != 1 or iwave !=1 or ipsf != 1:
# continue
ipsfOutput = psfMatPath + '/psf_{:}_centroidWgt.mat'.format(ipsf)
psfInfo = PSFConfig.LoadPSF(iccd, iwave, ipsf, psfPath, InputMaxPixelPos=True)
ipsfMat = psfInfo['psfMat']
npix_y, npix_x = ipsfMat.shape
#if npsf == 100:
# ncut = 160
#if npsf == 900:
# ncut = 200
ncut = int(npix_y*0.90)
ncut = ncut + ncut%2 #even pixs
dcx = cx - npix_x/2 #pixel coords -> global coords
dcy = cy - npix_y/2 #pixel coords -> global coords
dcx*= psfInfo['pixsize']*1e-3 #5e-3 #pixels -> mm
dcy*= psfInfo['pixsize']*1e-3 #5e-3 #pixels -> mm
nn = npix_y
dn = int((nn - ncut)/2)
imgt = np.zeros([nn, nn], dtype=np.float32)
imgt[dn:-dn, dn:-dn] = img
scipy.io.savemat(ipsfOutput, {'cx':dcx, 'cy':dcy, 'psf':imgt})
if iccd != 1 or iwave !=1 or ipsf != 1:
if ThisTask == 0:
print('CHECK::', dcx, dcy, psfInfo['centroid_x'],psfInfo['centroid_y'])