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import scda
import os
import shutil
import numpy as np
import matplotlib.pyplot as plt
%pylab inline --no-import-all
matplotlib.rcParams['image.origin'] = 'lower'
matplotlib.rcParams['image.interpolation'] = 'nearest'
matplotlib.rcParams['image.cmap'] = 'gray'
matplotlib.rcParams['axes.linewidth'] = 1.
matplotlib.rcParams['lines.linewidth'] = 2.5
matplotlib.rcParams['font.size'] = 12
import logging
#scda.configure_log()
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os.getcwd()
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pupil_params = {'N': 500, 'prim':'hex4', 'centobs':True, 'secobs':'X', 'thick':'025'}
fpm_params = {'rad': 4., 'M':60}
ls_params_noaligntol = {'obscure':0, 'id':28, 'od':83, 'aligntol':None}
image_params = {'c': 10., 'ida':-0.5, 'oda':10., 'bw':0., 'Nlam':1, 'fpres':2}
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#work_dir = "."
work_dir = os.path.normpath("/astro/opticslab1/SCDA/Scripts/AMPL/qpaplc_tests/")
if not os.path.exists(os.path.normpath(work_dir)):
os.mkdir(work_dir)
#input_dir = "./InputMasks" # location of input TelAp, FPM, and LS arrays
#input_dir = "/astro/opticslab1/SCDA/Scripts/AMPL/scda_qpaplc_tests/InputMasks/"
input_dir = os.path.normpath("/astro/opticslab1/SCDA/Apertures/InputMasks/")
TelAp_dir = os.path.join(input_dir, "TelAp")
FPM_dir = os.path.join(input_dir, "FPM")
LS_dir = os.path.join(input_dir, "LS")
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design_params_noaligntol = {'Pupil': pupil_params, 'FPM': fpm_params,
'LS': ls_params_noaligntol, 'Image': image_params}
fileorg = {'work dir': work_dir, 'TelAp dir': TelAp_dir,
'FPM dir': FPM_dir, 'LS dir': LS_dir}
bar_solver = {'method': 'bar'}
barhom_solver = {'method': 'barhom', 'convtol': 9.}
#dualsimp_solver = {'method': 'dualsimp'}
#barhom_solver = {'method': 'barhom'}
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hexap_coron = scda.QuarterplaneAPLC(design=design_params_noaligntol, fileorg=fileorg, solver=barhom_solver)
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hexap_coron.fileorg
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hexap_coron.check_ampl_input_files()
print("All the input files for AMPL are in place? {0:}".format(hexap_coron.ampl_infile_status))
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hexap_coron.write_ampl(override_infile_status=False, overwrite=True)
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bundled_dir = os.path.join(hexap_coron.fileorg['work dir'], "qpaplc_ampl_bundle")
#bundled_coron_list = scda.make_ampl_bundle([hexap_coron_noaligntol, hexap_coron_aligntol], bundled_dir)
#os.listdir(bundled_dir)
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hexap_coron.get_metrics()
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#hexap_coron.fileorg['TelAp fname'] = os.path.join(os.path.expanduser("~/Box Sync/scda/InputMasks/TelAp"),
# os.path.basename(hexap_coron.fileorg['TelAp fname']))
#hexap_coron.fileorg['FPM fname'] = os.path.join(os.path.expanduser("~/Box Sync/scda/InputMasks/FPM"),
# os.path.basename(hexap_coron.fileorg['FPM fname']))
#hexap_coron.fileorg['LS fname'] = os.path.join(os.path.expanduser("~/Box Sync/scda/InputMasks/LS"),
# os.path.basename(hexap_coron.fileorg['LS fname']))
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TelAp_qp = np.loadtxt(hexap_coron.fileorg['TelAp fname'])
TelAp = np.concatenate((np.concatenate((TelAp_qp[::-1,::-1], TelAp_qp[:,::-1]),axis=0),
np.concatenate((TelAp_qp[::-1,:], TelAp_qp),axis=0)), axis=1)
FPM_qp = np.loadtxt(hexap_coron.fileorg['FPM fname'])
FPM = np.concatenate((np.concatenate((FPM_qp[::-1,::-1], FPM_qp[:,::-1]),axis=0),
np.concatenate((FPM_qp[::-1,:], FPM_qp),axis=0)), axis=1)
LS_qp = np.loadtxt(hexap_coron.fileorg['LS fname'])
LS = np.concatenate((np.concatenate((LS_qp[::-1,::-1], LS_qp[:,::-1]),axis=0),
np.concatenate((LS_qp[::-1,:], LS_qp),axis=0)), axis=1)
#new_sol_fname = os.path.join(hexap_coron.fileorg['sol dir'],
# "ApodSol_APLC_quart_hex3X025cobs1_N0250_FPM400M050_LSann25D85clear_Img100C_35DA080_BW10Nlam03fpres2_linbarhompre1convtol2e9.dat")
# "ApodSol_APLC_quart_hex3X025cobs1_N0125_FPM400M050_LSann25D85clear_Img100C_35DA080_BW10Nlam03fpres2_linbarhompre1_convtol1e9.dat")
# "ApodSol_APLC_quart_hex3X025cobs1_N0125_FPM400M050_LSann25D85clear_Img100C_35DA080_BW10Nlam03fpres2_linbarpre1_ftol.dat")
#hexap_coron.fileorg['sol fname'] = new_sol_fname
#hexap_coron.design['Image']['bw'] = 0.10
A_col = np.loadtxt(hexap_coron.fileorg['sol fname'])[:,-1]
A_qp = A_col.reshape(TelAp_qp.shape)
A = np.concatenate((np.concatenate((A_qp[::-1,::-1], A_qp[:,::-1]),axis=0),
np.concatenate((A_qp[::-1,:], A_qp),axis=0)), axis=1)
plt.figure(figsize=(8,8))
plt.imshow(A*TelAp)
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psf_img_polychrom, radial_seps, radial_psf_profile_polychrom = hexap_coron.eval_onax_psf(Nlam=1)
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plt.figure(figsize=(10,8))
plt.imshow(np.log10(psf_img_polychrom[-2]), vmin=-11, vmax=-7, cmap='CMRmap')
plt.colorbar()
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plt.figure(figsize=(10,8))
plt.plot(radial_seps, np.log10(radial_psf_profile_polychrom[0,:]))
plt.plot(radial_seps, np.log10(radial_psf_profile_polychrom[radial_psf_profile_polychrom.shape[0]/2,:]))
plt.plot(radial_seps, np.log10(radial_psf_profile_polychrom[-1,:]))
plt.legend(['blue','center','red'], loc='upper left')
plt.xlabel('angular sep. (lambda_0/D)')
plt.ylabel('log10(I/I0)')
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radial_psf_profile_polychrom[-1,0]
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