import os, sys
from AIPS import AIPS
from AIPSTask import AIPSTask as task
from AIPSData import AIPSUVData as UV
from AIPSData import AIPSImage as IM
import time
import numpy as np
            
#Ant   1 = EB
#Ant   2 = HN
#Ant   3 = NL
#Ant   4 = SC
#Ant   5 = BR
#Ant   6 = FD
#Ant   7 = KP
#Ant   8 = LA
#Ant   9 = MK
#Ant  10 = OV
#Ant  11 = PT
#Ant  12 = Y 


whattodo = {'load_data': False, # ->CL1
            'msort': False,
            'indxr': False,
            'preflagging': True, # Flag FD for ripples. Could be properly flagged?
            'ion_corr': True, # ->CL2
            'eops_corr': True, # ->CL3
            'par_ang_cor': True, # ->CL4
            'accor' : True, # SN1, CL5
            'fring_ampcal' : True, #->SN2, CL6
            'bpass_ampcal': True, # BP 1
            'acscl': True, # SN3, CL7
            'mergecal': True, # HAS TO BE RUN MANUALLY
            #RUN MERGECAL
            'apcal' : True, # SN4, CL8
            # Note, antennas EB and Y have very low amps.
            # Based on other VLBA ants, and previous experience
            # with J1516, it seems EB and Y are off.
            # They are therefore excluded from imaging, and 
            # receive corrections from selfcal below.
            # Then included again.
            'image_ampcal_1': True, 
            'selfcal_ampcal' : True, # -> SN5, CL9
            'clip_ampcal': True, #USE PREFLAGGING AS WELL TO CLEAN FG
            'image_ampcal_2': True, 
            'fring_phasecal' : True, #->SN6, CL10
            'image_phasecal_1': True,
            'selfcal_phasecal' : True, # -> SN7, CL11
            'clip_sensitive': True, #USE PREFLAGGING AS WELL TO CLEAN FG. ALSO CLIP TARGET
            'image_phasecal_2': True, # 
            'image_ARP220': True,
            'selfcal_arp220': True, # ->SN8, CL12
            'image_ARP220_final': True,
            'export_results': True,
            'save_calsols': True,
            }
 
########## Initialize observation data ##########
AIPS.userno = 1000
clint = 10.0/60 # Seconds
NAME = 'BB335A_C'
CLASS = 'UVDATA'
DISK = 1
AMPCALIM = NAME + 'AC'
PCALIM = NAME + 'PC'
TCALIM = NAME + 'TC'
OUTPREFIX = NAME
target = 'ARP220'
ampcal = 'J1516+1932'
phasecal = 'J1532+2344'
sorted_class = 'MSORT'
logfile = 'log_'+OUTPREFIX+'_PTred.log'
refant = 3
uvrange = [None, 7000, 0]
#########^^^ END OF CONFIG VARIABLES ^^^################
tic = time.time()
########## Initialize Log file ##########
try:
 os.system('cp ' + logfile + ' ' + logfile + '.old')
 os.system('rm -f ' + logfile)
except:
 pass
AIPS.log = open(logfile, 'a')
AIPS.log.write('whattodo = '+repr(whattodo)+'\n')

########## LOAD DATA ##########
if whattodo['load_data']:
    fitld = task('fitld')
    fitld.default()
    outdata = UV(NAME, CLASS, DISK, 1)
    fitld.datain = '/data1/eskil/RAWDATA/BB335A/C/BB335A_CBAND.FITS1'
    fitld.outdata = outdata
    fitld.ncount = 2
    fitld.digicor = 1
    fitld.clint = clint
    fitld.wtthresh = 0.7
    fitld.doconcat = 1
    fitld.douvcomp = -1
    if outdata.exists():
        print 'WARNING: Removing existing file ' + NAME + '.' + CLASS
        outdata.zap()
        print '         File removed. Proceeding with FITLD...'
    fitld.go()

if whattodo['msort']:
    msort = task('msort')
    data = UV(NAME, CLASS, DISK, 1)
    outdata = UV(NAME, sorted_class, DISK, 1)
    msort.default()
    msort.indata = data
    msort.outdata = outdata
    msort.sort = 'TB'
    if outdata.exists():
        print 'WARNING: Removing existing file ' + NAME + '.' + sorted_class
        outdata.zap()
        print '         File removed. Proceeding with FITLD...'
    msort.go()
    if data.exists():
        print 'WARNING: Removing existing file ' + NAME + '.' + CLASS
        data.zap()
        print '         File removed. Proceeding with FITLD...'

if whattodo['indxr']:
    indxr = task('indxr')
    indxr.default()
    data = UV(NAME, sorted_class, DISK, 1)
    indxr.indata = data
    indxr.cparm[3] = clint
    indxr.go()

########## PREFLAGGING ##########
#Flag data known to be bad (whole antennas etc.)
if whattodo['preflagging']:
    data = UV(NAME, sorted_class, DISK, 1)
    infgver = 1
    outfgver = 2
    # Remove all FG tables higher than infgver.
    for i in range(data.table_highver('FG'), infgver, -1):
     data.zap_table('FG', i)
    data = UV(NAME, sorted_class, DISK, 1)
    # Copy flag table 1 to flagtable 2
    tacop = task('tacop')
    tacop.default()
    tacop.indata = data
    tacop.inext = 'FG'
    tacop.inver = infgver
    tacop.ncount = 1
    tacop.outdata = data
    tacop.outvers = outfgver
    tacop.go()
    # Flag antenna 7 KP RCP since no or weak fringes to ampcal, also in PI letter
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 7]
    uvflg.stokes  = 'RR'
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.go()
    # Flag antenna 3 NL with amp spike in apriori ampcal
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 3]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.timeran = [None, 0, 22, 0, 0, 0, 22, 5, 0]
    uvflg.go()
    # Flag antenna 3 NL with amp spike in apriori ampcal
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 3]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.timeran = [None, 1, 1, 55, 0, 1, 1, 58, 0]
    uvflg.go()
    # Flag scan on J1516 for EB ant 1 because of weird bandpass shape
    # The scan is 0/22:36:19 -   0/22:38:25 
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 1]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.sour = [None, ampcal]
    uvflg.timeran = [None, 0, 0, 0, 0, 0, 18, 2, 0]
    uvflg.go()
    # Flag all antennas for J1516 ampcal to avoid failed FRING sols
    # at specific time. Good coverage on both sides so no problem.
    # If not, failed sols may risk flagging good data, since this 
    # is a single scan, but in the center of an hour of possibly good target data
    # The scan is 0/22:36:19 -   0/22:38:25 
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 0]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.sour = [None, ampcal]
    uvflg.timeran = [None, 0, 22, 36, 0, 0, 22, 39, 0]
    uvflg.go()
    #Flag edges
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 0]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.bchan = 1
    uvflg.echan = 4
    uvflg.go()
    #Flag edges
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 0]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.bchan = 61
    uvflg.echan = 64
    uvflg.go()
    #Flag Extra edges for EB-Y
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 1]
    uvflg.baselin = [None, 12]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.bchan = 1
    uvflg.echan = 6
    uvflg.go()
    #Flag edges
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 1]
    uvflg.baselin = [None, 12]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.bchan = 59
    uvflg.echan = 64
    uvflg.go()
    # Qack for EB since fail in start of scans
    quack = task('quack')
    quack.default()
    quack.indata = data
    quack.antenna = [None, 1]
    quack.opcode = 'BEG'
    quack.sour = [None, ampcal]
    quack.aparm[2] = 1
    quack.go()
    # Quack Y start of scans
    quack = task('quack')
    quack.default()
    quack.indata = data
    quack.baselin = [None, 12]
    quack.opcode = 'BEG'
    #quack.sour = [None, phasecal, target]
    quack.aparm[2] = 10.0/60
    quack.go()
    #Flag bad scan
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 1]
    uvflg.baselin = [None, 12]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.timeran = [None, 0, 20, 0, 0, 0, 20, 3, 0]
    uvflg.go()
    #Flag bad scan
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 1]
    uvflg.baselin = [None, 12]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.timeran = [None, 0, 20, 28, 0, 0, 20, 29, 0]
    uvflg.go()
    #Flag bad scan
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 6]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.timeran = [None, 0, 19, 0, 0, 0, 19, 27, 0]
    uvflg.go()
    #Flag bad scan
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 5,6]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.timeran = [None, 0, 23, 8, 0, 0, 23, 8, 30]
    uvflg.go()
    #Flag bad scan
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 8]
    uvflg.baselin = [None, 12]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.timeran = [None, 0, 23, 25, 0, 0, 23, 28, 0]
    uvflg.go()
    #Flag bad scan
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 7,10]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.timeran = [None, 0, 22, 25, 0, 0, 22, 26, 0]
    uvflg.go()
    #Flag bad scan
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 5,11]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.timeran = [None, 0, 23, 32, 0, 0, 23, 33, 0]
    uvflg.go()
    #Flag bad scan
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 8]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.timeran = [None, 0, 0, 0, 0, 0, 19 ,5, 0]
    uvflg.go()
    #Flag bad scan
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 1]
    uvflg.baselin = [None, 8]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.timeran = [None, 0, 23, 20, 0, 0, 23, 28, 0]
    uvflg.sour = [None, ampcal]
    uvflg.go()
    #Flag bad scan
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 3]
    uvflg.baselin = [None, 8]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.timeran = [None, 1, 1, 50, 0, 1, 2, 0, 0]
    uvflg.sour = [None, ampcal]
    uvflg.go()
    #Flag bad scan
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 3]
    uvflg.baselin = [None, 5]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.timeran = [None, 0, 19, 55, 0, 0, 20, 0, 0]
    uvflg.sour = [None, ampcal]
    uvflg.go()
    #Flag bad scan
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 8]
    uvflg.baselin = [None, 10]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.timeran = [None, 0, 20, 25, 0, 0, 20, 25, 45]
    uvflg.sour = [None, ampcal]
    uvflg.go()
    #Flag bad scan
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 4]
    uvflg.baselin = [None, 5]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.timeran = [None,0, 22, 2, 40, 0, 22, 3, 0]
    uvflg.sour = [None, ampcal]
    uvflg.go()
    
    #Flag bad scan
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 10]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.timeran = [None,0, 20, 25, 0, 0, 20, 28, 0]
    uvflg.sour = [None, ampcal]
    uvflg.go()
    #Flag bad scan
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 3]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.timeran = [None,0, 0, 0, 0, 0, 18, 2, 0]
    uvflg.sour = [None, ampcal]
    uvflg.go()
    #Flag bad scan
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 0]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.timeran = [None,0, 19, 15, 0, 0, 19, 20, 0]
    uvflg.sour = [None, phasecal]
    uvflg.go()
    #Flag baseline which causes waves in final image (pcal and target)
    # Probably because of high weights
    # but not sure. Well, only one baseline, can drop that.
    # Not much to gain from very detailed investigations.
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 12]
    uvflg.baselin = [None, 6]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.timeran = [None, 1, 3, 0, 0, 1, 5, 0, 0]
    uvflg.go()
    # Flag bad scan
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 12]
    uvflg.baselin = [None, 11]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.timeran = [None, 1, 4, 30, 0, 1, 4, 33, 0]
    uvflg.go()
    
    #Flag bad scan
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 8]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.timeran = [None, 0, 23, 1, 0, 0, 23, 2, 0]
    uvflg.go()
    #Flag bad scans
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 8]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.timeran = [None, 0, 22, 0, 0, 0, 22, 30, 0]
    uvflg.go()
    #Flag bad scans
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 10]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.timeran = [None, 0, 20, 0, 0, 0, 21, 0, 0]
    uvflg.go()

    #Flag ant 6 to get rid of ripples. Could be flagged more carefully
    # to remove less data, but this works for now.
    uvflg = task('uvflg')
    uvflg.default()
    uvflg.indata = data
    uvflg.antennas = [None, 6]
    #uvflg.baselin = [None, 1,12]
    uvflg.outfgver = outfgver
    uvflg.opcode = 'FLAG'
    uvflg.go()

########## IONOSPHERIC CORRECTIONS ##########
# => CL2
if whattodo['ion_corr']:
    clinver = 1
    cloutver = 2
    data = UV(NAME, sorted_class, DISK, 1)
    # Remove all CL tables higher than cloutver-1.
    for i in range(data.table_highver('CL'), cloutver-1, -1):
        data.zap_table('CL', i)
    data = UV(NAME, sorted_class, DISK, 1)
    tecor = task('tecor')
    tecor.default()
    tecor.indata = data
    tecor.gainver = clinver
    tecor.gainuse = cloutver
    # Observation was 01-AUGY-2014 and streched into the night over to 2 of august. 
    # According to http://mistupid.com/calendar/dayofyear.htm
    # This means day of the year DDD=213 and 214
    # Fetch and uncompress file for this day
    doy = str(213)
    year = str(2014)
    tecfile = 'jplg' + doy + '0.'+year[-2:]+'i'
    if not os.path.exists(tecfile):
        os.system('wget ftp://cddis.gsfc.nasa.gov/gps/products/ionex/'+year+'/'+doy+'/' + tecfile + '.Z')
        os.system('gunzip ' + tecfile+ '.Z')
    doy = str(214)
    year = str(2014)
    tecfile = 'jplg' + doy + '0.'+year[-2:]+'i'
    if not os.path.exists(tecfile):
        os.system('wget ftp://cddis.gsfc.nasa.gov/gps/products/ionex/'+year+'/'+doy+'/' + tecfile + '.Z')
        os.system('gunzip ' + tecfile+ '.Z')
    #Reset name to first file for input to tecor 
    doy = str(213)
    year = str(2014)
    tecfile = 'jplg' + doy + '0.'+year[-2:]+'i'

    tecor.infile = 'PWD:' + tecfile
    tecor.nfiles = 2
    tecor.go()
########## EARTH ORIENTATION PARAMETERS CORRECTION ##########
# => CL3
if whattodo['eops_corr']:
    clinver = 2
    cloutver = 3
    data = UV(NAME, sorted_class, DISK, 1)
    # Remove all CL tables higher than cloutver-1.
    for i in range(data.table_highver('CL'), cloutver-1, -1):
        data.zap_table('CL', i)
    data = UV(NAME, sorted_class, DISK, 1)
    clcor = task('clcor')
    clcor.default()
    clcor.indata = data
    clcor.gainver = clinver
    clcor.gainuse = cloutver
    clcor.opcode = 'EOPS'
    clcor.clcorprm = [None, 1, 0] 
    if not os.path.exists('./usno_finals.erp'):
        os.system('wget http://gemini.gsfc.nasa.gov/solve_save/usno_finals.erp')
    clcor.infile = 'PWD:usno_finals.erp'
    clcor.go()
 
########## PARALLACTIC ANGLE CORRECTION ##########
# => CL4
if whattodo['par_ang_cor']:
    clinver = 3
    cloutver = 4
    data = UV(NAME, sorted_class, DISK, 1)
    # Remove all CL tables higher than cloutver-1.
    for i in range(data.table_highver('CL'), cloutver-1, -1):
        data.zap_table('CL', i)
    data = UV(NAME, sorted_class, DISK, 1)
    clcor = task('clcor')
    clcor.default()
    clcor.indata = data
    clcor.gainver = clinver
    clcor.gainuse = cloutver
    clcor.opcode = 'PANG'
    clcor.clcorprm = [None, 1, 0] 
    if not os.path.exists('./usno_finals.erp'):
     os.system('wget http://gemini.gsfc.nasa.gov/solve_save/usno_finals.erp')
    clcor.infile = 'PWD:usno_finals.erp'
    clcor.go()

############# AMPLITUDE calibration ##############
# => CL5 
# => SN1(accor),
if whattodo['accor']:
    # Define initial versionnumbers, increased further down
    clinver = 4
    cloutver = 5
    snoutver = 1
## RUN ACCOR
    data = UV(NAME, sorted_class, DISK, 1)
    # Remove all SN tables higher than version snoutver-1.
    for i in range(data.table_highver('SN'), snoutver-1, -1):
        data.zap_table('SN', i)
    data = UV(NAME, sorted_class, DISK, 1)
    accor = task('accor')
    accor.indata = data
    accor.solint = 0 # Use default
    accor.go()
    # Now we have a new SN-table! 
    data = UV(NAME, sorted_class, DISK, 1)
    # Remove all CL tables higher than version cloutver-1.
    for i in range(data.table_highver('CL'), cloutver-1, -1):
        data.zap_table('CL', i)
    data = UV(NAME, sorted_class, DISK, 1)
    # Make CL table
    clcal = task('clcal') 
    clcal.indata = data
    clcal.snver = snoutver
    clcal.invers = snoutver
    clcal.gainver = clinver
    clcal.gainuse = cloutver
    clcal.refant = refant
    clcal.interpol = 'SELF'
    clcal.go()

#   FRING on AMPCAL
if whattodo['fring_ampcal']:
    clinver = 5
    cloutver = 6
    snoutver = 2
    data = UV(NAME, sorted_class, DISK, 1)
    # Remove all SN tables higher than version snoutver-1.
    for i in range(data.table_highver('SN'), snoutver-1, -1):
        data.zap_table('SN', i)
    data = UV(NAME, sorted_class, DISK, 1)
    fring=task('fring')
    fring.default()
    fring.indata = data
    fring.docalib = 1
    fring.gainuse = clinver
    fring.calsour = [None, ampcal]
    fring.refant = refant
    fring.solint = 5 # Longer than scan
    fring.snver = snoutver
    fring.go()

    # Apply SN-table
    data = UV(NAME, sorted_class, DISK, 1)
    # Remove all CL tables higher than version cloutver-1.
    for i in range(data.table_highver('CL'), cloutver-1, -1):
        data.zap_table('CL', i)
    data = UV(NAME, sorted_class, DISK, 1)
    # Make CL table
    clcal = task('clcal') 
    clcal.default()
    clcal.indata = data
    clcal.snver = snoutver
    clcal.invers = snoutver
    clcal.calsour = [None, ampcal]
    clcal.sour = [None, ''] # All sources
    clcal.gainver = clinver
    clcal.gainuse = cloutver
    clcal.refant = refant
    clcal.go()

if whattodo['bpass_ampcal']:
    clinver = 6
    bpoutver = 1
    data = UV(NAME, sorted_class, DISK, 1)
    # Remove all BP tables higher than version bpoutver-1.
    for i in range(data.table_highver('BP'), bpoutver-1, -1):
        data.zap_table('BP', i)
    data = UV(NAME, sorted_class, DISK, 1)
    data = UV(NAME, sorted_class, DISK, 1)
    bpass = task('bpass')
    bpass.default()
    bpass.indata = data
    bpass.calsour = [None,ampcal]
    bpass.timeran = [None, 0] # Use all scans to get all ants
    bpass.gainuse = clinver
    bpass.docal = 1
    bpass.refant = 1
    bpass.solint = -1 # Whole timerange
    bpass.flagver = 0
    bpass.outvers = bpoutver
    bpass.doband = -1
    bpass.bpassprm[10]=6 # Normalize amps using power and all channels
    # according to VLBAS_37
    bpass.go()

if whattodo['acscl']:
    # Define initial versionnumbers
    clinver = 6
    cloutver = 7
    snoutver = 3
    bpinver = 1
    data = UV(NAME, sorted_class, DISK, 1)
    # Remove all SN tables higher than version snoutver-1.
    for i in range(data.table_highver('SN'), snoutver-1, -1):
        data.zap_table('SN', i)
    data = UV(NAME, sorted_class, DISK, 1)
    acscl = task('acscl')
    acscl.indata = data
    acscl.solint = 0 # Use default
    acscl.doband = 1
    acscl.bpver = bpinver
    acscl.gainuse = clinver
    acscl.docal = 1
    acscl.go()
    # Now we have a new SN-table! 
    data = UV(NAME, sorted_class, DISK, 1)
    # Remove all CL tables higher than version cloutver-1.
    for i in range(data.table_highver('CL'), cloutver-1, -1):
        data.zap_table('CL', i)
    data = UV(NAME, sorted_class, DISK, 1)
    # Make CL table
    clcal = task('clcal') 
    clcal.indata = data
    clcal.snver = snoutver
    clcal.invers = snoutver
    clcal.gainver = clinver
    clcal.gainuse = cloutver
    clcal.refant = refant
    clcal.interpol = 'SELF'
    clcal.go()


## MERGECAL IS REQUIRED TO OBTAIN GC AND TY versions 2 from versions 1, else APCAL may fail.

if whattodo['mergecal']:
    ans = raw_input('Please run the procedure MERGECAL in AIPS before proceeding with apcal. Type Yes if you have run mergecal already.')
    if ans=='Yes':
        print 'Great!'
    else:
        print 'Mergecal needed! Exiting...'
        sys.exit()

if whattodo['apcal']:
## RUN APCAL 
    #redefine versions
    clinver = 7
    cloutver = 8
    snoutver = 4
    data = UV(NAME, sorted_class, DISK, 1)
    # Remove all SN tables higher than version snoutver-1.
    for i in range(data.table_highver('SN'), snoutver-1, -1):
        data.zap_table('SN', i)
    apcal = task('apcal')
    apcal.indata = data
    apcal.tyver = 2
    apcal.gcver = 2
    apcal.snver = snoutver
    apcal.invers = 1 # WX table version
    apcal.solint = 2 # Same as accor
    #apcal.opcode = 'GRDR'
    apcal.go()
    # Now we have a new SN-table! 
    data = UV(NAME, sorted_class, DISK, 1)
    # Remove all CL tables higher than version cloutver-1.
    for i in range(data.table_highver('CL'), cloutver-1, -1):
        data.zap_table('CL', i)
    # Make CL table
    clcal = task('clcal') 
    clcal.indata = data
    clcal.snver = snoutver
    clcal.invers = snoutver
    clcal.gainver = clinver
    clcal.gainuse = cloutver
    clcal.refant = refant
    clcal.interpol = 'SELF'
    clcal.go()

if whattodo['image_ampcal_1']:
    clinver = 8
    imagename = AMPCALIM + '1'
    imagedisk = 1
    imageseq = 1
    data = UV(NAME, sorted_class, DISK, 1)
    imagr = task('imagr')
    imagr.default()
    imagr.indata = data
    imagr.sources = [None, ampcal]
    imagr.gainuse = clinver
    imagr.flagver = 0
    imagr.nchav = 512
    imagr.stokes = 'I'
    imagr.cellsize = [None, 0.1e-3, 0.1e-3]
    imagr.imsize = [None, 512,512]
    imagr.docalib = 1
    imagr.dotv = -1
    imagr.outname = imagename
    imagr.outdisk = imagedisk
    imagr.outseq = imageseq
    imagr.niter = 300
    imagr.doband = 1
    imagr.bpver = 1
    imagr.uvrange = uvrange
    imagr.antenna = [None, -1, -12]
    if imagr.niter == 0:
        imageclass = 'IIM001'
    else:
        imageclass = 'ICL001'
    # Remove previous old image
    image = IM(imagename, imageclass, imagedisk, imageseq)
    if image.exists():
     image.zap()
    # Also remove old beam image
    image = IM(imagename, 'IBM001', imagedisk, imageseq)
    if image.exists():
     image.zap()
    imagr.robust = 0.5
    imagr.go()


if whattodo['selfcal_ampcal']:
    clinver = 8
    cloutver = 9
    snoutver = 5
    data = UV(NAME, sorted_class, DISK, 1)
    # Remove all SN tables higher than version snoutver-1.
    for i in range(data.table_highver('SN'), snoutver-1, -1):
        data.zap_table('SN', i)
    data = UV(NAME, sorted_class, DISK, 1)
    calib = task('calib')
    calib.default()
    calib.indata = data
    calib.in2data = IM(AMPCALIM + '1', 'ICL001', 1, 1)
    calib.calsour = [None, ampcal]
    calib.refant = refant
    calib.docalib = 1
    calib.gainuse = clinver
    calib.flagver = 0
    calib.snver = snoutver
    calib.solmode = 'A&P'
    calib.solint = 5 # 
    calib.aparm[7] = 5 # SNR
    calib.cmethod = 'DFT'
    calib.aparm[1] = 4 # Min no antenna
    calib.aparm[6] = 1 # Print level
    calib.aparm[9] = 1 # Pass on failed sols, for scans without these ants
    calib.dofit = [None, 1,12] # Fit 
    calib.doband = 1
    calib.bpver = 1
    calib.go()
    # Apply SN-table
    data = UV(NAME, sorted_class, DISK, 1)
    # Remove all CL tables higher than version cloutver-1.
    for i in range(data.table_highver('CL'), cloutver-1, -1):
        data.zap_table('CL', i)
    data = UV(NAME, sorted_class, DISK, 1)
    # Make CL table
    clcal = task('clcal') 
    clcal.default()
    clcal.indata = data
    clcal.snver = snoutver
    clcal.invers = snoutver
    clcal.calsour = [None, ampcal] # Use sols from Ampcal 
    clcal.sour = [None, ''] # Apply to all sources
    clcal.gainver = clinver
    clcal.gainuse = cloutver
    clcal.refant = refant
    clcal.go()

if whattodo['clip_ampcal']:
    outfgver = 2
    clinver = 9
    data = UV(NAME, sorted_class, DISK, 1)
    clip = task('clip')
    clip.default()
    clip.sour = [None, ampcal]
    clip.aparm[6] = 1e-3 # Flag very sensitive baselines
    clip.docal = 1
    clip.gainuse = clinver
    clip.stokes = 'I'
    clip.flagver = outfgver
    clip.doband = 1
    clip.bpver = 1
    clip.indata = data
    clip.outfgver = outfgver
    clip.go()

if whattodo['image_ampcal_2']:
    clinver = 9
    imagename = AMPCALIM+'2'
    imagedisk = 1
    imageseq = 1
    data = UV(NAME, sorted_class, DISK, 1)
    imagr = task('imagr')
    imagr.default()
    imagr.indata = data
    imagr.sources = [None, ampcal]
    imagr.gainuse = clinver
    imagr.flagver = 0
    imagr.nchav = 512
    imagr.stokes = 'I'
    imagr.cellsize = [None, 0.1e-3, 0.1e-3]
    imagr.imsize = [None, 512,512]
    imagr.docalib = 1
    imagr.dotv = -1
    imagr.doband = 1
    imagr.bpver = 1
    imagr.outname = imagename
    imagr.outdisk = imagedisk
    imagr.outseq = imageseq
    imagr.niter = 300
    imagr.uvrange = uvrange
    if imagr.niter == 0:
        imageclass = 'IIM001'
    else:
        imageclass = 'ICL001'
    # Remove previous old image
    image = IM(imagename, imageclass, imagedisk, imageseq)
    if image.exists():
     image.zap()
    # Also remove old beam image
    image = IM(imagename, 'IBM001', imagedisk, imageseq)
    if image.exists():
     image.zap()
    imagr.robust = 0.5
    imagr.go()

#   FRING on PHASECAL
if whattodo['fring_phasecal']:
    clinver = 9 # With ampcal corrections
    cloutver = 10
    snoutver = 6
    data = UV(NAME, sorted_class, DISK, 1)
    # Remove all SN tables higher than version snoutver-1.
    for i in range(data.table_highver('SN'), snoutver-1, -1):
        data.zap_table('SN', i)
    data = UV(NAME, sorted_class, DISK, 1)
    fring=task('fring')
    fring.default()
    fring.indata = data
    fring.docalib = 1
    fring.gainuse = clinver
    fring.calsour = [None, phasecal]
    fring.refant = refant
    fring.solint = 3 # Longer than scan
    fring.dparm[2] = 50#ns, delay win, already fitted bulk on ampcal
    fring.dparm[3] = 15#mHz, rate win
    #fring.aparm[3] = 1 # AVG RR,LL
    #fring.aparm[4] = 1 # AVG freqs in IFs
    #fring.aparm[5] = 1 # AVG IFs
    fring.snver = snoutver
    fring.doband = 1
    fring.bpver = 1
    fring.go()

    # Apply SN-table
    data = UV(NAME, sorted_class, DISK, 1)
    # Remove all CL tables higher than version cloutver-1.
    for i in range(data.table_highver('CL'), cloutver-1, -1):
        print "WARNING: Deleting CL" + str(i)
        data.zap_table('CL', i)
    data = UV(NAME, sorted_class, DISK, 1)
    # Make CL table
    clcal = task('clcal') 
    clcal.default()
    clcal.indata = data
    clcal.snver = snoutver
    clcal.invers = snoutver
    clcal.calsour = [None, phasecal]
    clcal.sour = [None, phasecal, target]
    clcal.gainver = clinver
    clcal.gainuse = cloutver
    clcal.refant = refant
    clcal.go()

if whattodo['image_phasecal_1']:
    clinver = 10
    imagename = PCALIM + '1'
    imagedisk = 1
    imageseq = 1
    data = UV(NAME, sorted_class, DISK, 1)
    imagr = task('imagr')
    imagr.default()
    imagr.indata = data
    imagr.sources = [None, phasecal]
    imagr.gainuse = clinver
    imagr.flagver = 0
    imagr.nchav = 512
    imagr.stokes = 'I'
    imagr.cellsize = [None, 0.1e-3, 0.1e-3]
    imagr.imsize = [None, 512,512]
    imagr.docalib = 1
    imagr.dotv = -1
    imagr.doband = 1
    imagr.bpver = 1
    imagr.outname = imagename
    imagr.outdisk = imagedisk
    imagr.outseq = imageseq
    imagr.niter = 300
    imagr.uvrang = uvrange
    if imagr.niter == 0:
        imageclass = 'IIM001'
    else:
        imageclass = 'ICL001'
    # Remove previous old image
    image = IM(imagename, imageclass, imagedisk, imageseq)
    if image.exists():
     image.zap()
    # Also remove old beam image
    image = IM(imagename, 'IBM001', imagedisk, imageseq)
    if image.exists():
     image.zap()
    imagr.robust = 0.5
    imagr.go()


if whattodo['selfcal_phasecal']:
    clinver = 10
    cloutver = 11
    snoutver = 7
    data = UV(NAME, sorted_class, DISK, 1)
    # Remove all SN tables higher than version snoutver-1.
    for i in range(data.table_highver('SN'), snoutver-1, -1):
        print "WARNING: Deleting SN" + str(i)
        data.zap_table('SN', i)
    data = UV(NAME, sorted_class, DISK, 1)
    calib = task('calib')
    calib.default()
    calib.indata = data
    calib.in2data = IM(PCALIM + '1', 'ICL001', 1, 1)
    calib.calsour = [None, phasecal]
    calib.refant = refant
    calib.docalib = 1
    calib.gainuse = clinver
    calib.flagver = 0
    calib.snver = snoutver
    calib.solmode = 'A&P'
    calib.solint = 3 # Longer than scan
    calib.aparm[7] = 5 # SNR
    #calib.aparm[3] = 1 # AVG RR,LL, 
    calib.aparm[6] = 1 # Print level
    #calib.aparm[5] = 1 # AVG ifs
    calib.weightit = 1
    calib.soltype = 'L1R'
    calib.doband = 1
    calib.bpver = 1
    # We need to set min 4 antennas, else
    # the first hour is flagged. 
    # This is OK, and solutions are nice. 
    calib.aparm[1] = 4 # min no antennas
    calib.go()
    
    # Apply SN-table
    data = UV(NAME, sorted_class, DISK, 1)
    # Remove all CL tables higher than version cloutver-1.
    for i in range(data.table_highver('CL'), cloutver-1, -1):
        print "WARNING: Deleting CL" + str(i)
        data.zap_table('CL', i)
    data = UV(NAME, sorted_class, DISK, 1)
    # Make CL table
    clcal = task('clcal') 
    clcal.default()
    clcal.indata = data
    clcal.snver = snoutver
    clcal.invers = snoutver
    clcal.calsour = [None, phasecal]
    clcal.sour = [None, phasecal, target] # Apply to all sources
    clcal.gainver = clinver
    clcal.gainuse = cloutver
    clcal.refant = refant
    clcal.go()

if whattodo['clip_sensitive']:
    outfgver = 2
    clinver = 11
    data = UV(NAME, sorted_class, DISK, 1)
    clip = task('clip')
    clip.default()
    clip.sour = [None, phasecal, target]
    clip.aparm[6] = 1e-3 # Flag very sensitive baselines
    clip.docal = 1
    clip.gainuse = clinver
    clip.stokes = 'I'
    clip.flagver = outfgver
    clip.doband = 1
    clip.bpver = 1
    clip.indata = data
    clip.outfgver = outfgver
    clip.go()

if whattodo['image_phasecal_2']:
    clinver = 11
    imagename = PCALIM + '2'
    imagedisk = 1
    imageseq = 1
    data = UV(NAME, sorted_class, DISK, 1)
    imagr = task('imagr')
    imagr.default()
    imagr.indata = data
    imagr.sources = [None, phasecal]
    imagr.gainuse = clinver
    imagr.flagver = 0
    imagr.nchav = 512
    imagr.stokes = 'I'
    imagr.cellsize = [None, 0.1e-3, 0.1e-3]
    imagr.imsize = [None, 512,512]
    imagr.docalib = 1
    imagr.dotv = -1
    imagr.doband = 1
    imagr.bpver = 1
    imagr.outname = imagename
    imagr.outdisk = imagedisk
    imagr.outseq = imageseq
    imagr.niter = 300
    imagr.uvran = uvrange
    #imagr.uvtaper = [None, 80000,80000]  # EB has too high weight, but only long baselines.
    # So use taper to reduce impact of EB weights on the beam, thereby better image
    # Seems not to be needed for target or ampcal though, beam there is nice.
    if imagr.niter == 0:
        imageclass = 'IIM001'
    else:
        imageclass = 'ICL001'
    # Remove previous old image
    image = IM(imagename, imageclass, imagedisk, imageseq)
    if image.exists():
     image.zap()
    # Also remove old beam image
    image = IM(imagename, 'IBM001', imagedisk, imageseq)
    if image.exists():
     image.zap()
    imagr.robust = 0.5
    imagr.go()

############### IMAGE ARP220 ######################
# Load these outside if to be available also for export later
arpfilename = TCALIM
arpfiledisk = 1
arpfileseq = 1
arpfileclass = 'ICL001'
arpfileclass2 = 'ICL002'
if whattodo['image_ARP220']:
    clinver = 11
    # FIRST CLEAN WITH SMALL BOXES
    # Remove previous old images
    image = IM(arpfilename, arpfileclass, arpfiledisk, arpfileseq)
    if image.exists():
        image.zap()
    image = IM(arpfilename, arpfileclass2, arpfiledisk, arpfileseq)
    if image.exists():
        image.zap()
    # Also remove old beam images
    image = IM(arpfilename, 'IBM001', arpfiledisk, arpfileseq)
    if image.exists():
        image.zap()
    image = IM(arpfilename, 'IBM002', arpfiledisk, arpfileseq)
    if image.exists():
        image.zap()
    # Clean with latest gainuse
    data = UV(NAME, sorted_class, DISK, 1)
    imagr = task('imagr')
    imagr.default()
    imagr.indata = data
    imagr.sources = [None, target]
    imagr.im2parm = [None, 1, 5.0, 10.0, 0] # Require island to have SNR 5 and peak SNR10. To clean (for later removal) of the strongest sources
    imagr.gainuse = clinver
    imagr.flagver = 0
    imagr.nchav = 512
    imagr.doband = 1
    imagr.bpver = 1
    imagr.imsize = [None, 4096,2048]
    imagr.cellsize = [None, 0.2e-3, 0.2e-3]
    imagr.stokes = 'I'
    imagr.nfield = 2
    imagr.overlap = 1
    imagr.do3dimag = 1
    imagr.rashift = [None, 0.6, -0.35]
    imagr.decshift = [None, 0.02, 0.18]
    imagr.docalib = 1
    imagr.dotv = -1
    imagr.outname = arpfilename
    imagr.outdisk = arpfiledisk
    imagr.outseq = arpfileseq
    imagr.niter = 500
    imagr.gain = 0.1
    imagr.uvrange = uvrange # remove large-scale disturbances
    imagr.robust = 0.5
    imagr.go()
    # CLEAN WITH LARGE (NO) BOXES
    arpboxfile = ''
    data = UV(NAME, sorted_class, DISK, 1)
    imagr = task('imagr')
    imagr.default()
    imagr.indata = data
    imagr.sources = [None, target]
    imagr.gainuse = clinver 
    imagr.flagver = 0
    imagr.nchav = 512
    imagr.doband = 1
    imagr.bpver = 1
    imagr.imsize = [None, 4096,2048]
    imagr.cellsize = [None, 0.2e-3, 0.2e-3]
    imagr.stokes = 'I'
    imagr.nfield = 2
    imagr.overlap = 1
    imagr.do3dimag = 1
    imagr.rashift = [None, 0.6, -0.35]
    imagr.decshift = [None, 0.02, 0.18]
    imagr.docalib = 1
    imagr.dotv = -1
    imagr.outname = arpfilename
    imagr.outdisk = arpfiledisk
    imagr.outseq = arpfileseq
    imagr.outver = 1
    imagr.niter = 2000
    imagr.gain = 0.1
    imagr.bcomp = [None, 100000, 100000]
    imagr.uvrange = uvrange # remove large-scale disturbances
    imagr.robust = 0.5
    imagr.go()

if whattodo['selfcal_arp220']:
    clinver = 11
    cloutver = 12
    snoutver = 8
    data = UV(NAME, sorted_class, DISK, 1)
    # Remove all SN tables higher than version snoutver-1.
    for i in range(data.table_highver('SN'), snoutver-1, -1):
        print "WARNING: Deleting SN" + str(i)
        data.zap_table('SN', i)
    data = UV(NAME, sorted_class, DISK, 1)
    calib = task('calib')
    calib.default()
    calib.indata = data
    # Do not use any model, just a point works fine for phasecal
    calib.in2data = IM(TCALIM, 'ICL001', 1, 1)
    calib.calsour = [None, target]
    calib.nmaps = 2
    calib.refant = refant
    calib.docalib = 1
    calib.gainuse = clinver
    calib.flagver = 0
    calib.snver = snoutver
    calib.solmode = 'P'
    calib.solint = 10 # Longer than scan
    calib.aparm[1] = 3 # min No. of antennas to include first 45 min.
    calib.aparm[7] = 2 # SNR
    calib.aparm[3] = 1 # AVG RR,LL, 
    calib.aparm[6] = 1 # Print level
    calib.aparm[5] = 1 # AVG ifs, MAYBE NOT NEEDED NOW WITH WIDE BAND?
    # Can do without, but not much difference in the sols. Better use this
    # anyway to gain sensitivity at the high noise beginning.
    calib.cmethod = 'DFT'
    calib.weightit = 1
    calib.soltype = 'L1R'
    calib.doband = 1
    calib.bpver = 1
    calib.uvrange = [None, 7000,0]
    calib.go()
    
    # Apply SN-table
    data = UV(NAME, sorted_class, DISK, 1)
    # Remove all CL tables higher than version cloutver-1.
    for i in range(data.table_highver('CL'), cloutver-1, -1):
        print "WARNING: Deleting CL" + str(i)
        data.zap_table('CL', i)
    data = UV(NAME, sorted_class, DISK, 1)
    # Make CL table
    clcal = task('clcal') 
    clcal.default()
    clcal.indata = data
    clcal.snver = snoutver
    clcal.invers = snoutver
    clcal.calsour = [None, target]
    clcal.sour = [None, target] # Apply to target
    clcal.gainver = clinver
    clcal.gainuse = cloutver
    clcal.refant = refant
    clcal.go()

############### IMAGE ARP220 ######################
# Load these outside if to be available also for export later
arpfilename = OUTPREFIX + '_FIN'
arpfiledisk = 1
arpfileseq = 1
arpfileclass = 'ICL001'
arpfileclass2 = 'ICL002'
if whattodo['image_ARP220_final']:
    clinver = 12
    # FIRST CLEAN WITH SMALL BOXES
    # Remove previous old images
    image = IM(arpfilename, arpfileclass, arpfiledisk, arpfileseq)
    if image.exists():
        image.zap()
    image = IM(arpfilename, arpfileclass2, arpfiledisk, arpfileseq)
    if image.exists():
        image.zap()
    # Also remove old beam images
    image = IM(arpfilename, 'IBM001', arpfiledisk, arpfileseq)
    if image.exists():
        image.zap()
    image = IM(arpfilename, 'IBM002', arpfiledisk, arpfileseq)
    if image.exists():
        image.zap()
    # Clean with latest gainuse
    data = UV(NAME, sorted_class, DISK, 1)
    imagr = task('imagr')
    imagr.default()
    imagr.indata = data
    imagr.sources = [None, target]
    imagr.im2parm = [None, 1, 5.0, 10.0, 0] # Require island to have SNR 5 and peak SNR10. To clean (for later removal) of the strongest sources
    imagr.gainuse = clinver
    imagr.flagver = 0
    imagr.nchav = 512
    imagr.doband = 1
    imagr.bpver = 1
    imagr.imsize = [None, 8192, 8192]
    imagr.cellsize = [None, 0.1e-3, 0.1e-3]
    imagr.stokes = 'I'
    imagr.nfield = 2
    imagr.overlap = 1
    imagr.do3dimag = 1
    imagr.rashift = [None, 0.6, -0.35]
    imagr.decshift = [None, 0.02, 0.18]
    imagr.docalib = 1
    imagr.dotv = -1
    imagr.outname = arpfilename
    imagr.outdisk = arpfiledisk
    imagr.outseq = arpfileseq
    imagr.niter = 500
    #imagr.niter = 5
    imagr.gain = 0.1
    imagr.uvrange = uvrange # remove large-scale disturbances
    imagr.robust = 0.5
    #imagr.bif = 1
    #imagr.eif = 1
    imagr.go()
    # CLEAN WITH LARGE (NO) BOXES
    arpboxfile = ''
    data = UV(NAME, sorted_class, DISK, 1)
    imagr = task('imagr')
    imagr.default()
    imagr.indata = data
    imagr.sources = [None, target]
    imagr.gainuse = clinver
    imagr.flagver = 0
    imagr.nchav = 512
    imagr.doband = 1
    imagr.bpver = 1
    imagr.imsize = [None, 8192, 8192]
    imagr.cellsize = [None, 0.1e-3, 0.1e-3]
    imagr.stokes = 'I'
    imagr.nfield = 2
    imagr.overlap = 1
    imagr.do3dimag = 1
    imagr.rashift = [None, 0.6, -0.35]
    imagr.decshift = [None, 0.02, 0.18]
    imagr.docalib = 1
    imagr.dotv = -1
    imagr.outname = arpfilename
    imagr.outdisk = arpfiledisk
    imagr.outseq = arpfileseq
    imagr.outver = 1
    imagr.niter = 3000
    imagr.gain = 0.1
    imagr.bcomp = [None, 100000, 100000]
    imagr.uvrange = uvrange # remove large-scale disturbances
    imagr.robust = 0.5
    imagr.go()

############### EXPORT RESULTS ######################
if whattodo['export_results']:
    east = IM(arpfilename, arpfileclass, arpfiledisk, arpfileseq)
    west = IM(arpfilename, arpfileclass2, arpfiledisk, arpfileseq)
   
    # Export EAST
    fittp = task('fittp')
    fittp.default()
    fittp.indata = east
    fittp.dataout = 'PWD:'+OUTPREFIX+'_EAST_IMAGE.FITS'
    if os.path.exists(fittp.dataout[4:]):
     os.system('rm ' + fittp.dataout[4:])
    fittp.go()
    # Export WEST
    fittp = task('fittp')
    fittp.default()
    fittp.indata = west
    fittp.dataout = 'PWD:'+OUTPREFIX+'_WEST_IMAGE.FITS'
    if os.path.exists(fittp.dataout[4:]):
     os.system('rm ' + fittp.dataout[4:])
    fittp.go()
    
    # Export ACAL
    im = IM(NAME+'AC2', 'ICL001', 1, 1)
    fittp = task('fittp')
    fittp.default()
    fittp.indata = im
    fittp.dataout = 'PWD:'+NAME+'_J1516+1932_IMAGE.FITS'
    if os.path.exists(fittp.dataout[4:]):
     os.system('rm ' + fittp.dataout[4:])
    fittp.go()
    # Export PCAL
    im = IM(NAME+'PC2', 'ICL001', 1, 1)
    fittp = task('fittp')
    fittp.default()
    fittp.indata = im
    fittp.dataout = 'PWD:'+NAME+'_J1532+2344_IMAGE.FITS'
    if os.path.exists(fittp.dataout[4:]):
     os.system('rm ' + fittp.dataout[4:])
    fittp.go()
    
    fittp = task('fittp')
    fittp.default()
    fittp.indata = IM(NAME+'_FIN','IBM001', 1, 1)
    fittp.dataout = 'PWD:'+NAME+'_EAST_BEAM.FITS'
    if os.path.exists(fittp.dataout[4:]):
     os.system('rm ' + fittp.dataout[4:])
    fittp.go()
    fittp = task('fittp')
    fittp.default()
    fittp.indata = IM(NAME+'_FIN','IBM002', 1, 1)
    fittp.dataout = 'PWD:'+NAME+'_WEST_BEAM.FITS'
    if os.path.exists(fittp.dataout[4:]):
     os.system('rm ' + fittp.dataout[4:])
    fittp.go()

if whattodo['save_calsols']:
    snver = 8
    # Remove all PL tables
    data = UV(NAME, sorted_class, DISK, 1)

    data.zap_table('PL', -1)
    snplt = task('snplt')
    snplt.indata = data
    snplt.bif = 1
    snplt.eif = 1
    snplt.stokes = 'RR'
    snplt.optype = 'PHAS'
    snplt.sour = [None, target]
    snplt.inext = 'SN'
    snplt.inver = snver
    snplt.nplots = 6
    #snplt.pixrange = [None -180,180]
    snplt.dotv = -1
    snplt.go()
    outname = NAME+'_ARP220_SELFCAL_SOLS.EPS'
    if os.path.exists(outname):
        os.system('rm ' + outname)
    lwpla = task('lwpla')
    lwpla.indata = data
    lwpla.plver = 1
    lwpla.inver = 99
    lwpla.outfile = 'PWD:'+outname
    #lwpla.docolor = 1
    lwpla.go()

tac = time.time()
processtime = tac-tic
print 'OVERALL PROCESS TIME: ',processtime,' SECONDS. or ', processtime/60.0, 'minutes'