def test_prepare(self):
p = prepare()
p.basedir = path.join(here, '../data/small/')
p.fluxcal = '3C295.MS'
p.polcal = '3C138.MS'
p.target = 'NGC807.MS'
p.prepare_bypass_alta = True
p.prepare_target_beams = '00, 04, 17'
p.go()
def start_apercal_pipeline(targets,
fluxcals,
polcals,
dry_run=False,
basedir=None,
flip_ra=False,
steps=None,
configfilename=None):
"""
Trigger the start of a fluxcal pipeline. Returns when pipeline is done.
Example for taskid, name, beamnr: (190108926, '3C147_36', 36)
Fluxcals and polcals can be specified in the wrong order, if the polcal is not polarised
they will be flipped.
If both polcals and fluxcals are set, they should both be the same length.
A list of config files can be provided, i.e., one for each beam. If a single config file
is given, copies of it will be created so that there is one config per beam. If no
config file is given, the default one is used and copies for each beam are made.
Args:
targets (Tuple[int, str, List[int]]): taskid, name, list of beamnrs
fluxcals (List[Tuple[int, str, int]]): fluxcals: taskid, name, beamnr
polcals (List[Tuple[int, str, int]]): polcals: taskid, name, beamnr (can be None)
dry_run (bool): interpret arguments, do not actually run pipeline
basedir (str): base directory; if not specified will be /data/apertif/{target_taskid}
flip_ra (bool): flip RA (for old measurement sets where beamweights were flipped)
steps (List[str]): list of steps to perform
configfilename (List[str]): Custom configfile (should be full path for now)
Returns:
Tuple[Dict[int, List[str]], str], str: Tuple of a dict, the formatted runtime, and possibly
an exception. The dict
contains beam numbers (ints) as keys, a list of failed
steps as values. Failed is defined here as 'threw an
exception', only for target steps. Please also read logs.
"""
if steps is None:
steps = [
"prepare", "split", "preflag", "ccal", "convert", "scal",
"continuum", "polarisation", "line", "transfer"
]
(taskid_target, name_target, beamlist_target) = targets
# set the base directory if none was provided
if not basedir:
basedir = '/data/apertif/{}/'.format(taskid_target)
elif len(basedir) > 0 and basedir[-1] != '/':
basedir = basedir + '/'
if not os.path.exists(basedir):
os.mkdir(basedir)
logfilepath = os.path.join(basedir, 'apercal.log')
lib.setup_logger('debug', logfile=logfilepath)
logger = logging.getLogger(__name__)
gitinfo = subprocess.check_output('cd ' +
os.path.dirname(apercal.__file__) +
'&& git describe --tag; cd',
shell=True).strip()
logger.info("Apercal version: " + gitinfo)
logger.info(
"start_apercal called with arguments targets={}; fluxcals={}; polcals={}"
.format(targets, fluxcals, polcals))
logger.info("steps = {}".format(steps))
# number of beams to process
n_beams = len(beamlist_target)
# check the input config file
# get the default configfile if none was provided
if not configfilename:
logger.info("No config file provided, getting default config")
# create a list of config file name
configfilename_list = [
os.path.join(
basedir,
"{0}_B{1}_Apercal_settings.cfg".format(taskid_target,
str(beam).zfill(2)))
for beam in beamlist_target
]
# get the default config settings
config = lib.get_default_config()
# go through the config files and create them
for beam_index in range(n_beams):
with open(configfilename_list[beam_index], "w") as fp:
config.write(fp)
logger.info("Beam {} config file saved to {}".format(
beamlist_target[beam_index], configfilename_list[beam_index]))
# if configfile(s) are given as a list
elif type(configfilename) is list:
# if it is just one, create copies for each beam in the base directory
if len(configfilename) == 1:
logger.info(
"A single config file was provided. Creating copies of {}".
format(configfilename[0]))
configfilename_list = [
os.path.join(
basedir, "{0}_B{1}_Apercal_settings.cfg".format(
taskid_target,
str(beam).zfill(2))) for beam in beamlist_target
]
# make the copies
for config in configfilename_list:
lib.basher("cp " + str(configfilename[0]) + " " + str(config))
elif len(configfilename) == n_beams:
logger.info("Number of config files and target beams match.")
configfilename_list = configfilename
else:
error = "Number of config files and target beams did not match. Abort"
logger.error(error)
raise RuntimeError(error)
# if configfilename is just a string
elif type(configfilename) is str:
logger.info(
"A single config file was provided. Creating copies of {}".format(
configfilename))
configfilename_list = [
os.path.join(
basedir,
"{0}_B{1}_Apercal_settings.cfg".format(taskid_target,
str(beam).zfill(2)))
for beam in beamlist_target
]
# make the copies
for config in configfilename_list:
lib.basher("cp " + str(configfilename) + " " + str(config))
else:
error = "Unknown input for configfilename. Abort"
logger.error(error)
raise RuntimeError(error)
status = pymp.shared.dict({beamnr: [] for beamnr in beamlist_target})
if fluxcals:
name_fluxcal = str(fluxcals[0][1]).strip().split('_')[0].upper()
else:
name_fluxcal = ''
if polcals:
name_polcal = str(polcals[0][1]).strip().split('_')[0].upper()
else:
name_polcal = ''
name_target = str(name_target).strip() # .upper()
# If both fluxcal and polcal polarized, remove polcal
if subs_calmodels.is_polarised(
name_polcal) and subs_calmodels.is_polarised(name_fluxcal):
name_polcal = ""
if (fluxcals and fluxcals != '') and (polcals and polcals != ''):
assert (len(fluxcals) == len(polcals))
# avoid symmetry bias, if there is only a polcal but no fluxcal, switch them
if fluxcals is None and polcals is not None:
logger.info(
"Only polcal was provided. Setting polcal {} to fluxcal".format(
name_polcal))
fluxcals, polcals = polcals, fluxcals
name_polcal = ""
# Exchange polcal and fluxcal if specified in the wrong order
elif not subs_calmodels.is_polarised(name_polcal) and name_polcal != '':
if subs_calmodels.is_polarised(name_fluxcal):
logger.info("Switching polcal and fluxcal because " + name_polcal +
" is not polarised")
fluxcals, polcals = polcals, fluxcals
name_polcal = str(polcals[0][1]).strip()
else:
logger.info("Setting polcal to '' since " + name_polcal +
" is not polarised")
name_polcal = ""
elif name_polcal != '':
logger.info("Polcal " + name_polcal + " is polarised, all good")
def name_to_ms(name):
if not name:
return ''
elif '3C' in name:
return name.upper().strip().split('_')[0] + '.MS'
else:
return name + '.MS'
def name_to_mir(name):
if not name:
return ''
elif '3C' in name:
return name.upper().strip().split('_')[0] + '.mir'
else:
return name + '.mir'
def set_files(p):
"""
Set the basedir, fluxcal, polcal, target properties
Args:
p (BaseModule): apercal step object (e.g. prepare)
Returns:
None
"""
p.basedir = basedir
p.fluxcal = name_to_ms(name_fluxcal)
p.polcal = name_to_ms(name_polcal)
p.target = name_to_ms(name_target)
# debug_msg = """
# p.basedir = basedir = {0};
# p.fluxcal = name_to_ms(name_fluxcal) = {1};
# p.polcal = name_to_ms(name_polcal) = {2};
# p.target = name_to_ms(name_target) = {3};
# """.format(basedir, name_to_ms(name_fluxcal), name_to_ms(name_polcal), name_to_ms(name_target))
# logger.debug(debug_msg)
beamnrs_fluxcal = [f[2] for f in fluxcals]
if len(fluxcals) > 1:
# Check every target beam has a fluxcal beam
for beamnr_target in beamlist_target:
assert (beamnr_target in beamnrs_fluxcal)
# creating a copy of the target beamlist as a normal array
# to avoid using np.where() for such a small thing
if type(beamlist_target) == np.ndarray:
beamlist_target_for_config = beamlist_target.tolist()
else:
beamlist_target_for_config = beamlist_target
time_start = time()
try:
# =======
# Prepare
# =======
# keep a start-finish record of step in the main log file
if "prepare" in steps:
logger.info("Running prepare")
start_time_prepare = time()
else:
logger.info("Skipping prepare")
# Prepare fluxcals
for (taskid_fluxcal, name_fluxcal, beamnr_fluxcal) in fluxcals:
p0 = prepare(file_=configfilename_list[
beamlist_target_for_config.index(beamnr_fluxcal)])
p0.basedir = basedir
#set_files(p0)
p0.prepare_flip_ra = flip_ra
# the following two need to be empty strings for prepare
p0.fluxcal = ''
p0.polcal = ''
p0.target = name_to_ms(name_fluxcal)
p0.prepare_target_beams = str(beamnr_fluxcal)
p0.prepare_date = str(taskid_fluxcal)[:6]
p0.prepare_obsnum_target = validate_taskid(taskid_fluxcal)
if "prepare" in steps and not dry_run:
try:
p0.go()
except Exception as e:
logger.warning("Prepare failed for fluxcal " +
str(taskid_fluxcal) + " beam " +
str(beamnr_fluxcal))
logger.exception(e)
if 'prepare' in steps:
# copy the param file generated here
param_file = os.path.join(basedir, 'param.npy')
director(p0,
'rn',
param_file.replace(
".npy",
"_prepare_{}.npy".format(name_fluxcal.split('_')[0])),
file_=param_file,
ignore_nonexistent=True)
# Prepare polcals
if name_polcal != '':
for (taskid_polcal, name_polcal, beamnr_polcal) in polcals:
p0 = prepare(file_=configfilename_list[
beamlist_target_for_config.index(beamnr_polcal)])
p0.basedir = basedir
#set_files(p0)
p0.prepare_flip_ra = flip_ra
# the following two need to be empty strings for prepare
p0.fluxcal = ''
p0.polcal = ''
p0.target = name_to_ms(name_polcal)
p0.prepare_target_beams = str(beamnr_polcal)
p0.prepare_date = str(taskid_polcal)[:6]
p0.prepare_obsnum_target = validate_taskid(taskid_polcal)
if "prepare" in steps and not dry_run:
try:
p0.go()
except Exception as e:
logger.warning("Prepare failed for polcal " +
str(taskid_polcal) + " beam " +
str(beamnr_polcal))
logger.exception(e)
if 'prepare' in steps:
# copy the param file generated here
param_file = os.path.join(basedir, 'param.npy')
director(p0,
'rn',
param_file.replace(
".npy", "_prepare_{}.npy".format(
name_polcal.split('_')[0])),
file_=param_file,
ignore_nonexistent=True)
# Prepare target
for beamnr in beamlist_target:
p0 = prepare(file_=configfilename_list[
beamlist_target_for_config.index(beamnr)])
p0.basedir = basedir
# set_files(p0)
p0.prepare_flip_ra = flip_ra
# the following two need to be empty strings for prepare
p0.fluxcal = ''
p0.polcal = ''
p0.target = name_to_ms(name_target)
p0.prepare_date = str(taskid_target)[:6]
p0.prepare_obsnum_target = validate_taskid(taskid_target)
p0.prepare_target_beams = ','.join(
['{:02d}'.format(beamnr) for beamnr in beamlist_target])
if "prepare" in steps and not dry_run:
try:
p0.go()
except Exception as e:
logger.warning("Prepare failed for target " +
str(taskid_target) + " beam " + str(beamnr))
logger.exception(e)
status[beamnr] += ['prepare']
# keep a start-finish record of step in the main log file
if "prepare" in steps:
logger.info("Running prepare ... Done ({0:.0f}s)".format(
time() - start_time_prepare))
# copy the param file generated here
param_file = os.path.join(basedir, 'param.npy')
director(p0,
'rn',
param_file.replace(".npy",
"_prepare_{}.npy".format(name_target)),
file_=param_file,
ignore_nonexistent=True)
# =====
# Split
# =====
# keep a start-finish record of step in the main log file
if 'split' in steps:
logger.info("Running split")
start_time_split = time()
else:
logger.info("Skipping split")
# Splitting a small chunk of data for quicklook pipeline
# at the moment it all relies on the target beams
# what if there are more calibrator than target beams-> realistic?
with pymp.Parallel(5) as p:
for beam_index in p.range(n_beams):
beamnr = beamlist_target[beam_index]
# individual logfiles for each process
logfilepath = os.path.join(basedir,
'apercal{:02d}.log'.format(beamnr))
lib.setup_logger('debug', logfile=logfilepath)
logger = logging.getLogger(__name__)
logger.debug("Starting logfile for beam " + str(beamnr))
try:
s0 = split(file_=configfilename_list[beam_index])
set_files(s0)
s0.beam = "{:02d}".format(beamnr)
if "split" in steps and not dry_run:
s0.go()
except Exception as e:
logger.warning("Split failed for {0} beam {1}".format(
str(taskid_target), str(beamnr)))
logger.exception(e)
# not sure if following line is necessary
status[beamnr] += ['split']
# keep a start-finish record of step in the main log file
if "split" in steps:
logfilepath = os.path.join(basedir, 'apercal.log')
lib.setup_logger('debug', logfile=logfilepath)
logger = logging.getLogger(__name__)
logger.info(
"Running split ... Done ({0:.0f}s)".format(time() -
start_time_split))
# copy the param file generated here
# param_file = os.path.join(basedir, 'param.npy')
# director(
# p0, 'rn', param_file.replace(".npy", "_split.npy"), file_=param_file, ignore_nonexistent=True)
# =======
# Preflag
# =======
# keep a record of the parallalised step in the main log file
if "preflag" in steps:
logger.info("Running preflag")
start_time_preflag = time()
else:
logger.info("Skipping preflag")
# In order to run in parallel, the bandpass table needs to exists
# doing it here is not elegant but requires the least amount of changes
# to preflage
# with pymp.Parallel(10) as p:
# for beam_index in p.range(n_beams):
# beamnr = beamlist_target[beam_index]
# # individual logfiles for each process
# logfilepath = os.path.join(
# basedir, 'apercal{:02d}.log'.format(beamnr))
# lib.setup_logger('debug', logfile=logfilepath)
# logger = logging.getLogger(__name__)
# logger.debug("Starting logfile for beam " + str(beamnr))
# p1 = preflag(filename=configfilename)
# p1.paramfilename = 'param_{:02d}.npy'.format(beamnr)
# p1.basedir = basedir
# p1.fluxcal = ''
# p1.polcal = ''
# p1.target = name_to_ms(name_fluxcal)
# p1.beam = "{:02d}".format(beamnr)
# p1.preflag_targetbeams = "{:02d}".format(beamnr)
# if "preflag" in steps and not dry_run:
# try:
# bandpass_start_time = time()
# logger.info("Running aoflagger bandpass for flux calibrator {0} in beam {1}".format(
# p1.target, p1.beam))
# # director(
# # p1, 'rm', basedir + '/param_{:02d}.npy'.format(beamnr), ignore_nonexistent=True)
# p1.go()
# # director(p1, 'rm', basedir + '/param.npy',
# # ignore_nonexistent=True)
# # it is necessary to move the param files in order to keep them
# param_file = basedir + \
# '/param_{:02d}.npy'.format(beamnr)
# director(
# p1, 'mv', param_file, file_=param_file.replace(".npy", "_preflag_{0}.npy".format(name_fluxcal)), ignore_nonexistent=True)
# p1.aoflagger_bandpass()
# except Exception as e:
# logger.warning("Running aoflagger bandpass for flux calibrator {0} in beam {1} ... Failed ({2:.0f}s)".format(
# p1.target, p1.beam, time() - bandpass_start_time))
# logger.exception(e)
# status[beamnr] += ['preflag_bandpass']
# else:
# logger.info("Running aoflagger bandpass for flux calibrator {0} in beam {1} ... Done ({2:.0f}s)".format(
# p1.target, p1.beam, time() - bandpass_start_time))
# Flag fluxcal (pretending it's a target, parallelised version)
# 5 in parallel
with pymp.Parallel(5) as p:
for beam_index in p.range(n_beams):
beamnr = beamlist_target[beam_index]
# individual logfiles for each process
logfilepath = os.path.join(basedir,
'apercal{:02d}.log'.format(beamnr))
lib.setup_logger('debug', logfile=logfilepath)
logger = logging.getLogger(__name__)
logger.debug("Starting logfile for beam " + str(beamnr))
try:
p1 = preflag(filename=configfilename_list[beam_index])
p1.paramfilename = 'param_{:02d}.npy'.format(beamnr)
p1.basedir = basedir
p1.fluxcal = ''
p1.polcal = ''
p1.target = name_to_ms(name_fluxcal)
p1.beam = "{:02d}".format(beamnr)
p1.preflag_targetbeams = "{:02d}".format(beamnr)
if beam_index < 2:
p1.preflag_aoflagger_threads = 9
else:
p1.preflag_aoflagger_threads = 10
if "preflag" in steps and not dry_run:
logger.info(
"Running preflag for flux calibrator {0} in beam {1}"
.format(p1.target, p1.beam))
preflag_flux_cal_start_time = time()
# director(
# p1, 'rm', basedir + '/param_{:02d}.npy'.format(beamnr), ignore_nonexistent=True)
p1.go()
# it is necessary to move the param files in order to keep them
param_file = os.path.join(
basedir, 'param_{:02d}.npy'.format(beamnr))
director(p1,
'rn',
param_file.replace(
".npy", "_preflag_{0}.npy".format(
name_fluxcal.split('_')[0])),
file_=param_file,
ignore_nonexistent=True)
logger.info(
"Running preflag for flux calibrator {0} in beam {1} ... Done ({2:.0f}s)"
.format(p1.target, p1.beam,
time() - preflag_flux_cal_start_time))
except Exception as e:
logger.warning(
"Running preflag for flux calibrator {0} in beam {1} ... Failed ({2:.0f}s)"
.format(p1.target, p1.beam,
time() - preflag_flux_cal_start_time))
logger.exception(e)
status[beamnr] += ['preflag']
# Flag polcal (pretending it's a target, parallel version)
# 5 in parallel
with pymp.Parallel(5) as p:
for beam_index in p.range(n_beams):
beamnr = beamlist_target[beam_index]
# individual logfiles for each process
logfilepath = os.path.join(basedir,
'apercal{:02d}.log'.format(beamnr))
lib.setup_logger('debug', logfile=logfilepath)
logger = logging.getLogger(__name__)
logger.debug("Starting logfile for beam " + str(beamnr))
try:
p1 = preflag(filename=configfilename_list[beam_index])
# remove next line in final version
p1.preflag_aoflagger_version = 'local'
p1.basedir = basedir
p1.paramfilename = 'param_{:02d}.npy'.format(beamnr)
p1.basedir = basedir
if name_polcal != '':
p1.fluxcal = ''
p1.polcal = ''
p1.target = name_to_ms(name_polcal)
p1.beam = "{:02d}".format(beamnr)
p1.preflag_targetbeams = "{:02d}".format(beamnr)
if beam_index < 2:
p1.preflag_aoflagger_threads = 9
else:
p1.preflag_aoflagger_threads = 10
if "preflag" in steps and not dry_run:
logger.info(
"Running preflag for pol calibrator {0} in beam {1}"
.format(p1.target, p1.beam))
preflag_pol_cal_start_time = time()
# director(
# p1, 'rm', basedir + '/param_{:02d}.npy'.format(beamnr), ignore_nonexistent=True)
p1.go()
# it is necessary to move the param files in order to keep them
param_file = os.path.join(
basedir, 'param_{:02d}.npy'.format(beamnr))
director(p1,
'rn',
param_file.replace(
".npy", "_preflag_{0}.npy".format(
name_polcal.split('_')[0])),
file_=param_file,
ignore_nonexistent=True)
logger.info(
"Running preflag for pol calibrator {0} in beam {1} ... Done ({2:.0f}s)"
.format(p1.target, p1.beam,
time() - preflag_pol_cal_start_time))
except Exception as e:
logger.warning(
"Running preflag for pol calibrator {0} in beam {1} ... Failed ({2:.0f}s)"
.format(p1.target, p1.beam,
time() - preflag_pol_cal_start_time))
logger.exception(e)
status[beamnr] += ['preflag']
# Flag target
# 5 in parallel
with pymp.Parallel(5) as p:
for beam_index in p.range(n_beams):
beamnr = beamlist_target[beam_index]
# individual logfiles for each process
logfilepath = os.path.join(basedir,
'apercal{:02d}.log'.format(beamnr))
lib.setup_logger('debug', logfile=logfilepath)
logger = logging.getLogger(__name__)
logger.debug("Starting logfile for beam " + str(beamnr))
try:
p1 = preflag(filename=configfilename_list[beam_index])
# remove next line in final version
p1.preflag_aoflagger_version = 'local'
p1.paramfilename = 'param_{:02d}.npy'.format(beamnr)
p1.basedir = basedir
p1.fluxcal = ''
p1.polcal = ''
p1.target = name_to_ms(name_target)
p1.beam = "{:02d}".format(beamnr)
p1.preflag_targetbeams = "{:02d}".format(beamnr)
if beam_index < 2:
p1.preflag_aoflagger_threads = 9
else:
p1.preflag_aoflagger_threads = 10
if "preflag" in steps and not dry_run:
logger.info(
"Running preflag for target {0} in beam {1}".
format(p1.target, p1.beam))
preflag_target_start_time = time()
# director(
# p1, 'rm', basedir + '/param_{:02d}.npy'.format(beamnr), ignore_nonexistent=True)
p1.go()
# it is necessary to move the param files in order to keep them
param_file = os.path.join(
basedir, 'param_{:02d}.npy'.format(beamnr))
director(p1,
'rn',
param_file.replace(
".npy",
"_preflag_{0}.npy".format(name_target)),
file_=param_file,
ignore_nonexistent=True)
logger.info(
"Running preflag for target {0} in beam {1} ... Done ({2:.0f}s)"
.format(p1.target, p1.beam,
time() - preflag_target_start_time))
except Exception as e:
logger.info(
"Running preflag for target {0} in beam {1} ... Failed ({2:.0f}s)"
.format(p1.target, p1.beam,
time() - preflag_target_start_time))
logger.exception(e)
status[beamnr] += ['preflag']
# keep a record of the parallalised step in the main log file
if "preflag" in steps:
logfilepath = os.path.join(basedir, 'apercal.log')
lib.setup_logger('debug', logfile=logfilepath)
logger = logging.getLogger(__name__)
logger.info("Running preflag ... Done ({0:.0f}s)".format(
time() - start_time_preflag))
# ===============
# Crosscal
# ===============
# keep a record of the parallalised step in the main log file
if 'ccal' in steps:
logfilepath = os.path.join(basedir, 'apercal.log')
lib.setup_logger('debug', logfile=logfilepath)
logger = logging.getLogger(__name__)
logger.info("Running crosscal")
start_time_crosscal = time()
else:
logfilepath = os.path.join(basedir, 'apercal.log')
lib.setup_logger('debug', logfile=logfilepath)
logger = logging.getLogger(__name__)
logger.info("Skipping crosscal")
if len(fluxcals) == 1 and fluxcals[0][-1] == 0 and n_beams > 1:
raise ApercalException(
"Sorry, one fluxcal is not supported anymore at the moment")
with pymp.Parallel(10) as p:
for beam_index in p.range(n_beams):
beamnr = beamlist_target[beam_index]
logfilepath = os.path.join(basedir,
'apercal{:02d}.log'.format(beamnr))
lib.setup_logger('debug', logfile=logfilepath)
logger = logging.getLogger(__name__)
logger.debug("Starting logfile for beam " + str(beamnr))
try:
p2 = ccal(file_=configfilename_list[beam_index])
p2.paramfilename = 'param_{:02d}.npy'.format(beamnr)
set_files(p2)
p2.beam = "{:02d}".format(beamnr)
p2.crosscal_transfer_to_target_targetbeams = "{:02d}".format(
beamnr)
if "ccal" in steps and not dry_run:
# director(
# p2, 'rm', basedir + '/param_{:02d}.npy'.format(beamnr), ignore_nonexistent=True)
p2.go()
# it is necessary to move the param files in order to keep them
param_file = os.path.join(
basedir, 'param_{:02d}.npy'.format(beamnr))
director(p2,
'rn',
param_file.replace(".npy", "_crosscal.npy"),
file_=param_file,
ignore_nonexistent=True)
except Exception as e:
# Exception was already logged just before
logger.warning(
"Failed beam {}, skipping that from crosscal".format(
beamnr))
logger.exception(e)
status[beamnr] += ['crosscal']
# keep a record of the parallalised step in the main log file
if 'ccal' in steps:
logfilepath = os.path.join(basedir, 'apercal.log')
lib.setup_logger('debug', logfile=logfilepath)
logger = logging.getLogger(__name__)
logger.info("Running crosscal ... Done ({0:.0f}s)".format(
time() - start_time_crosscal))
# =======
# Convert
# =======
# keep a record of the parallalised step in the main log file
if 'convert' in steps:
logfilepath = os.path.join(basedir, 'apercal.log')
lib.setup_logger('debug', logfile=logfilepath)
logger = logging.getLogger(__name__)
logger.info("Running convert")
start_time_convert = time()
else:
logfilepath = os.path.join(basedir, 'apercal.log')
lib.setup_logger('debug', logfile=logfilepath)
logger = logging.getLogger(__name__)
logger.info("Skipping convert")
# 5 threads to not hammer the disks too much, convert is only IO
with pymp.Parallel(5) as p:
for beam_index in p.range(n_beams):
beamnr = beamlist_target[beam_index]
logfilepath = os.path.join(basedir,
'apercal{:02d}.log'.format(beamnr))
lib.setup_logger('debug', logfile=logfilepath)
logger = logging.getLogger(__name__)
try:
p3 = convert(file_=configfilename_list[beam_index])
p3.paramfilename = 'param_{:02d}.npy'.format(beamnr)
set_files(p3)
p3.beam = "{:02d}".format(beamnr)
p3.convert_targetbeams = "{:02d}".format(beamnr)
if "convert" in steps and not dry_run:
# director(
# p3, 'rm', basedir + '/param_{:02d}.npy'.format(beamnr), ignore_nonexistent=True)
p3.go()
# it is necessary to move the param files in order to keep them
param_file = os.path.join(
basedir, 'param_{:02d}.npy'.format(beamnr))
director(p3,
'rn',
param_file.replace(".npy", "_convert.npy"),
file_=param_file,
ignore_nonexistent=True)
# director(
# p3, 'rm', basedir + '/param_{:02d}.npy'.format(beamnr), ignore_nonexistent=True)
except Exception as e:
logger.warning(
"Failed beam {}, skipping that from convert".format(
beamnr))
logger.exception(e)
status[beamnr] += ['convert']
if 'convert' in steps:
# keep a record of the parallalised step in the main log file
logfilepath = os.path.join(basedir, 'apercal.log')
lib.setup_logger('debug', logfile=logfilepath)
logger = logging.getLogger(__name__)
logger.info("Running convert ... Done ({0:.0f}s)".format(
time() - start_time_convert))
# ==================================
# Selfcal + Continuum + Polarisation
# ==================================
# keep a record of the parallalised step in the main log file
if 'scal' in steps or 'continuum' in steps or 'polarisation' in steps:
logfilepath = os.path.join(basedir, 'apercal.log')
lib.setup_logger('debug', logfile=logfilepath)
logger = logging.getLogger(__name__)
logger.info("Running selfcal and/or continuum and/or polarisation")
start_time_selfcal_continuum_polarisation = time()
else:
logfilepath = os.path.join(basedir, 'apercal.log')
lib.setup_logger('debug', logfile=logfilepath)
logger = logging.getLogger(__name__)
logger.info("Skipping selfcal and continuum and polarisation")
with pymp.Parallel(10) as p:
for beam_index in p.range(n_beams):
beamnr = beamlist_target[beam_index]
logfilepath = os.path.join(basedir,
'apercal{:02d}.log'.format(beamnr))
lib.setup_logger('debug', logfile=logfilepath)
logger = logging.getLogger(__name__)
try:
p4 = scal(file_=configfilename_list[beam_index])
p4.paramfilename = 'param_{:02d}.npy'.format(beamnr)
p4.basedir = basedir
p4.beam = "{:02d}".format(beamnr)
p4.target = name_target + '.mir'
if "scal" in steps and not dry_run:
p4.go()
except Exception as e:
# Exception was already logged just before
logger.warning(
"Failed beam {}, skipping that from scal".format(
beamnr))
logger.exception(e)
status[beamnr] += ['scal']
try:
p5 = continuum(file_=configfilename_list[beam_index])
p5.paramfilename = 'param_{:02d}.npy'.format(beamnr)
p5.basedir = basedir
p5.beam = "{:02d}".format(beamnr)
p5.target = name_target + '.mir'
if "continuum" in steps and not dry_run:
p5.go()
except Exception as e:
# Exception was already logged just before
logger.warning(
"Failed beam {}, skipping that from continuum".format(
beamnr))
logger.exception(e)
status[beamnr] += ['continuum']
try:
p6 = polarisation(file_=configfilename_list[beam_index])
p6.paramfilename = 'param_{:02d}.npy'.format(beamnr)
p6.basedir = basedir
p6.beam = "{:02d}".format(beamnr)
p6.polcal = name_to_mir(name_polcal)
p6.target = name_to_mir(name_target)
if "polarisation" in steps and not dry_run:
p6.go()
except Exception as e:
# Exception was already logged just before
logger.warning(
"Failed beam {}, skipping that from polarisation".
format(beamnr))
logger.exception(e)
status[beamnr] += ['polarisation']
# keep a record of the parallalised step in the main log file
if 'scal' in steps or 'continuum' in steps or 'polarisation' in steps:
logfilepath = os.path.join(basedir, 'apercal.log')
lib.setup_logger('debug', logfile=logfilepath)
logger = logging.getLogger(__name__)
logger.info(
"Running selfcal and/or continuum and/or polarisation ... Done ({0:.0f}s)"
.format(time() - start_time_selfcal_continuum_polarisation))
# ====
# Line
# ====
# keep a record of the parallalised step in the main log file
if 'line' in steps:
logfilepath = os.path.join(basedir, 'apercal.log')
lib.setup_logger('debug', logfile=logfilepath)
logger.info("Running line")
start_time_line = time()
else:
logfilepath = os.path.join(basedir, 'apercal.log')
lib.setup_logger('debug', logfile=logfilepath)
logger.info("Skipping line")
for beamnr in beamlist_target:
# Because of the amount of information coming from line
# this module gets its own logfile
logfilepath = os.path.join(basedir,
'apercal{:02d}_line.log'.format(beamnr))
lib.setup_logger('debug', logfile=logfilepath)
try:
p7 = line(file_=configfilename_list[
beamlist_target_for_config.index(beamnr)])
if beamnr not in p7.line_beams:
logger.debug(
"Skipping line imaging for beam {}".format(beamnr))
continue
p7.basedir = basedir
p7.beam = "{:02d}".format(beamnr)
p7.target = name_target + '.mir'
if "line" in steps and not dry_run:
p7.go()
except Exception as e:
# Exception was already logged just before
logger.warning(
"Failed beam {}, skipping that from line".format(beamnr))
logger.exception(e)
status[beamnr] += ['line']
# with pymp.Parallel(5) as p:
# for beam_index in p.range(n_beams):
# beamnr = beamlist_target[beam_index]
# logfilepath = os.path.join(
# basedir, 'apercal{:02d}.log'.format(beamnr))
# lib.setup_logger('debug', logfile=logfilepath)
# logger = logging.getLogger(__name__)
# try:
# p7 = line(file_=configfilename)
# if beamnr not in p7.line_beams:
# logger.debug(
# "Skipping line imaging for beam {}".format(beamnr))
# continue
# p7.basedir = basedir
# p7.beam = "{:02d}".format(beamnr)
# p7.target = name_target + '.mir'
# if "line" in steps and not dry_run:
# p7.go()
# except Exception as e:
# # Exception was already logged just before
# logger.warning(
# "Failed beam {}, skipping that from line".format(beamnr))
# logger.exception(e)
# status[beamnr] += ['line']
# keep a record of the parallalised step in the main log file
if 'line' in steps:
logfilepath = os.path.join(basedir, 'apercal.log')
lib.setup_logger('debug', logfile=logfilepath)
logger = logging.getLogger(__name__)
logger.info(
"Running line ... Done ({0:.0f}s)".format(time() -
start_time_line))
# ========
# Transfer
# ========
# keep a record of the parallalised step in the main log file
if 'transfer' in steps:
logfilepath = os.path.join(basedir, 'apercal.log')
lib.setup_logger('debug', logfile=logfilepath)
logger.info("Running transfer")
start_time_transfer = time()
else:
logfilepath = os.path.join(basedir, 'apercal.log')
lib.setup_logger('debug', logfile=logfilepath)
logger.info("Skipping transfer")
# 5 threads to not hammer the disks too much during copying
with pymp.Parallel(5) as p:
for beam_index in p.range(n_beams):
beamnr = beamlist_target[beam_index]
logfilepath = os.path.join(basedir,
'apercal{:02d}.log'.format(beamnr))
lib.setup_logger('debug', logfile=logfilepath)
logger = logging.getLogger(__name__)
try:
p8 = transfer(file_=configfilename_list[beam_index])
p8.paramfilename = 'param_{:02d}.npy'.format(beamnr)
p8.basedir = basedir
p8.target = name_target + '.mir'
p8.beam = "{:02d}".format(beamnr)
if "transfer" in steps and not dry_run:
# director(
# p8, 'rm', basedir + '/param_{:02d}.npy'.format(beamnr), ignore_nonexistent=True)
p8.go()
except Exception as e:
logger.warning(
"Failed beam {}, skipping that from transfer".format(
beamnr))
logger.exception(e)
status[beamnr] += ['transfer']
# keep a record of the parallalised step in the main log file
if 'transfer' in steps:
logfilepath = os.path.join(basedir, 'apercal.log')
lib.setup_logger('debug', logfile=logfilepath)
logger = logging.getLogger(__name__)
logger.info("Running transfer ... Done ({0:.0f}s)".format(
time() - start_time_transfer))
# Polarisation
# ============
# keep a record of the parallalised step in the main log file
# if 'polarisation' in steps:
# logfilepath = os.path.join(basedir, 'apercal.log')
# lib.setup_logger('debug', logfile=logfilepath)
# logger = logging.getLogger(__name__)
# logger.info("Running polarisation")
# start_time_polarisation = time()
# else:
# logfilepath = os.path.join(basedir, 'apercal.log')
# lib.setup_logger('debug', logfile=logfilepath)
# logger = logging.getLogger(__name__)
# logger.info("Skipping polarisation")
# with pymp.Parallel(5) as p:
# for beam_index in p.range(n_beams):
# beamnr = beamlist_target[beam_index]
# logfilepath = os.path.join(
# basedir, 'apercal{:02d}.log'.format(beamnr))
# lib.setup_logger('debug', logfile=logfilepath)
# logger = logging.getLogger(__name__)
# try:
# p7 = polarisation(file_=configfilename)
# p7.paramfilename = 'param_{:02d}.npy'.format(beamnr)
# p7.basedir = basedir
# p7.beam = "{:02d}".format(beamnr)
# p7.target = name_to_mir(name_target)
# if "polarisation" in steps and not dry_run:
# p7.go()
# except Exception as e:
# # Exception was already logged just before
# logger.warning(
# "Failed beam {}, skipping that from polarisation".format(beamnr))
# logger.exception(e)
# status[beamnr] += ['polarisation']
# # keep a record of the parallalised step in the main log file
# if 'polarisation' in steps:
# logfilepath = os.path.join(basedir, 'apercal.log')
# lib.setup_logger('debug', logfile=logfilepath)
# logger = logging.getLogger(__name__)
# logger.info("Running polarisation ... Done ({0:.0f}s)".format(
# time() - start_time_polarisation))
# if "ccalqa" in steps and not dry_run:
# logger.info("Starting crosscal QA plots")
# try:
# make_all_ccal_plots(
# taskid_target, name_fluxcal.upper().strip().split('_')[0])
# except Exception as e:
# logger.warning("Failed crosscal QA plots")
# logger.exception(e)
# logger.info("Done with crosscal QA plots")
status = status.copy() # Convert pymp shared dict to a normal one
msg = "Apercal finished after " + \
str(timedelta(seconds=time() - time_start))
logger.info(msg)
return status, str(timedelta(seconds=time() - time_start)), None
except Exception as e:
msg = "Apercal threw an error after " + \
str(timedelta(seconds=time() - time_start))
logger.exception(msg)
return status, str(timedelta(seconds=time() - time_start)), str(e)
"""
basedir = '/data/apertif/{}/'.format(taskid_target)
if not os.path.exists(basedir):
os.mkdir(basedir)
lib.setup_logger('debug', logfile=os.path.join(basedir, 'apercal.log'))
logger = logging.getLogger(__name__)
gitinfo = subprocess.check_output('cd ' + os.path.dirname(apercal.__file__) +
'&& git describe --tag; cd', shell=True).strip()
logger.info("Apercal version: " + gitinfo)
name_fluxcal = str(name_fluxcal).strip()
name_polcal = str(name_polcal).strip()
name_target = str(name_target).strip()
p0 = prepare()
p0.basedir = basedir
p0.fluxcal = name_fluxcal + ".MS"
p0.polcal = name_polcal + ".MS"
p0.target = name_target + ".MS"
p0.prepare_target_beams = ','.join(['{:02d}'.format(beamnr) for beamnr in beamlist_target])
p0.prepare_date = str(taskid_target)[:6]
p0.prepare_obsnum_fluxcal = str(taskid_fluxcal)[-3:]
p0.prepare_obsnum_polcal = str(taskid_polcal)[-3:]
p0.prepare_obsnum_target = str(taskid_target)[-3:]
p0.go()
p1 = preflag()
p1.basedir = basedir
def apercc(cal_list=None,
task_id=None,
cal_name=None,
base_dir=None,
search_all_nodes=False,
steps=None):
"""
Main function to run the cross-calibration stability evaluation.
For a list of calibrator scans or a given task id and calibrator name,
this functions runs the cross-calibration evaluation.
The function can get the data from ALTA and flags them using the Apercal modules
prepare and preflag. It compares the bandpass solutions and gain factors between beams
and between observations of the same calibrators
The different steps can be selected individually.
Example:
scanid, source name, beam: [190108926, '3C147_36', 36]
steps: ['prepare', 'preflag', 'crosscal', bpass_compare', 'gain_comare', 'bpass_compare_obs', 'gain_compare_obs']
function cal: apercc(cal_list=[[190108926, '3C147_36', 36], [190108927, '3C147_37', 37]) or apercc(task_id = 190409056, cal_name='3C196')
Args:
cal_list (List(List(int, str, int)): scan id, source name, beam, optional
base_dir (str): Name of directory to store the data,
if not specified it will be /data/apertif/crosscal/<scanid> when new data is fetched
or /data/apertif/<scanid> when existing data is used
task_id (int): ID of scan to be used as main ID and for the directory,
if not specified it will be the first scan id
cal_name (str): Name of the calibrator,
if not specified the first name in the calibrator list will be used
search_all_nodes (bool):
steps (List(str)): List of steps in this task
To Do: Use existing data using the task_id option and the name of the calibrator?
"""
# General setup
# =============
# start time of this function
start_time = time()
# check input
# if no list of a calibrators is given
cal_list_mode = True
if cal_list is None:
# then it needs the task id and the calibrator name to look for existing data
if task_id is not None and cal_name is not None:
print(
"Using task id and calibrator name. Assuming to use existing data. Will not run preflag, prepare and crosscal"
)
# check that if steps were provided, they don't contain preflag, prepare and crosscal
if steps is not None:
if 'prepare' in steps:
steps.remove('prepare')
if 'preflag' in steps:
steps.remove('preflag')
if 'crosscal' in steps:
steps.remove('crosscal')
else:
steps = [
'bpass_compare', 'gain_comare', 'bpass_compare_obs',
'gain_compare_obs'
]
# using existing data
cal_list_mode = False
# otherwise it won't do anything
else:
print(
"Input parameters incorrect. Please specify either cal_list or task_id and cal_name. Abort"
)
return -1
else:
print("Using list of calibrators")
if not steps:
steps = [
'prepare', 'preflag', 'crosscal', 'bpass_compare',
'gain_comare', 'bpass_compare_obs', 'gain_compare_obs'
]
# # check that preflag is in it if prepare is run
# else:
# if 'prepare' in steps and not 'preflag' in steps:
# steps.insert(1, 'preflag')
# get the scan id to be used as the task id
if not task_id:
task_id = cal_list[0][0]
else:
task_id = task_id
# create data directory unless specified using the first id unless otherwise specified
# if no directory is specified
if not base_dir:
# and existing data is used, assume the base dir is an apercal processed data directory
if task_id is not None and cal_name is not None:
base_dir = '/data/apertif/{}/'.format(task_id)
# if new data is fetched from the archive use a different default directory
else:
base_dir = '/data/apertif/crosscal/{}/'.format(task_id)
elif len(base_dir) > 0 and base_dir[-1] != '/':
base_dir = base_dir + '/'
if not os.path.exists(base_dir) and cal_list_mode:
try:
os.mkdir(base_dir)
except Exception as e:
print("Creating the base directory failed. Abort")
return -1
elif not os.path.exists(base_dir):
print("Directory was not found. Abort")
return -1
logfilepath = os.path.join(base_dir, 'apercc.log')
lib.setup_logger('debug', logfile=logfilepath)
logger = logging.getLogger(__name__)
# gitinfo = subprocess.check_output('cd ' + os.path.dirname(apercal.__file__) +
# '&& git describe --tag; cd', shell=True).strip()
# logger.info("Apercal version: " + gitinfo)
logger.info("Apertif cross-calibration stability evaluation")
if cal_list_mode:
logger.info("Using list of calibrators as input !!!!")
else:
logger.info("Using task id and calibrator name as input !!!!")
logger.debug("apercc called with arguments ...")
logger.debug("cal_list={}".format(cal_list))
logger.debug("task_id = {}".format(task_id))
logger.debug("cal_name = {}".format(cal_name))
logger.debug("base_dir = {}".format(base_dir))
logger.debug("search_all_nodes = {}".format(search_all_nodes))
logger.debug("steps = {}".format(steps))
# number of calibrators
if cal_list is not None:
n_cals = len(cal_list)
# get a list of beams
beam_list = np.array([cal_list[k][2] for k in range(n_cals)])
else:
n_cals = 1
# get the name of the flux calibrator
if cal_name is None:
name_cal = str(cal_list[0][1]).strip().split('_')[0]
else:
name_cal = cal_name
# Getting the data using prepare
# ==============================
if "prepare" in steps:
start_time_prepare = time()
logger.info("Getting data for calibrators")
# go through the list of calibrators and run prepare
for (task_id_cal, name_cal, beamnr_cal) in cal_list:
logger.info("Running prepare for {0} of beam {1}".format(
name_cal, beamnr_cal))
# create prepare object without config file
prep = prepare(filename=None)
# where to store the data
prep.basedir = base_dir
# give the calibrator as a target to prepare
prep.fluxcal = ''
prep.polcal = ''
prep.target = name_cal.upper().strip().split('_')[0] + '.MS'
prep.prepare_target_beams = str(beamnr_cal)
prep.prepare_date = str(task_id_cal)[:6]
prep.prepare_obsnum_target = str(task_id_cal)[-3:]
try:
prep.go()
except Exception as e:
logger.warning(
"Prepare failed for calibrator {0} ({1}) beam {2}".format(
str(task_id), name_cal, beamnr_cal))
logger.exception(e)
else:
logger.info("Prepare successful for {0} of beam {1}".format(
name_cal, beamnr_cal))
logger.info("Getting data for calibrators ... Done ({0:.0f}s)".format(
time() - start_time_prepare))
else:
logger.info("Skipping getting data for calibrators")
# Running preflag for calibrators
# ===============================
if 'preflag' in steps:
start_time_flag = time()
logger.info("Flagging data of calibrators")
# Flag fluxcal (pretending it's a target)
# needs to be changed for parallel preflag and make it a loop
flag = preflag(filename=None)
flag.basedir = base_dir
flag.fluxcal = ''
flag.polcal = ''
flag.target = name_cal.upper().strip().split('_')[0] + '.MS'
flag.beam = "{:02d}".format(beam_list[0])
flag.preflag_targetbeams = "{:02d}".format(beamnr)
try:
director(flag,
'rm',
base_dir + '/param.npy',
ignore_nonexistent=True)
flag.go()
except Exception as e:
logger.warning("Preflag failed")
logger.exception(e)
else:
logger.info(
"Flagging data of calibrators ... Done ({0:.0f}s)".format(
time() - start_time_flag))
else:
logger.info("Skipping running preflag for calibrators")
# Running crosscal for calibrators
# ===============================
if 'crosscal' in steps:
start_time_crosscal = time()
logger.info("Running crosscal for calibrators")
for beam_nr in beam_list:
logger.info("Running crosscal for beam {0}".format(beam_nr))
crosscal = ccal(file_=None)
crosscal.basedir = base_dir
crosscal.fluxcal = name_cal.upper().strip().split('_')[0] + '.MS'
# p.polcal = name_to_ms(name_polcal)
# p.target = name_to_ms(name_target)
# p2.paramfilename = 'param_{:02d}.npy'.format(beamnr)
crosscal.beam = "{:02d}".format(beam_nr)
crosscal.crosscal_transfer_to_target = False
# p2.crosscal_transfer_to_target_targetbeams = "{:02d}".format(
# beamnr)
try:
director(crosscal,
'rm',
base_dir + '/param.npy',
ignore_nonexistent=True)
# director(
# p2, 'rm', basedir + '/param_{:02d}.npy'.format(beamnr), ignore_nonexistent=True)
crosscal.go()
except Exception as e:
# Exception was already logged just before
logger.warning("Failed crosscal for beam {}".format(beam_nr))
logger.exception(e)
else:
logger.info(
"Running crosscal for beam {0} ... Done".format(beam_nr))
logger.info(
"Running crosscal for calibrators ... Done ({0:.0f}s)".format(
time() - start_time_crosscal))
else:
logger.info("Skipping running crosscal for calibrators")
# Running Bandbpass comparison
# ============================
if 'bpass_compare' in steps:
start_time_prepare = time()
logger.info("Comparing bandpass")
logger.info("#### Doing nothing here yet ####")
logger.info(
"Comparing bandpass ... Done ({0:.0f})".format(time() -
start_time_prepare))
else:
logger.info("Skipping comparing bandpass")
# Running Bandbpass comparison
# ============================
if 'gain_compare' in steps:
start_time_gain = time()
logger.info("Comparing gain solutions")
logger.info("#### Doing nothing here yet ####")
logger.info("Comparing gain solutions ... Done ({0:.0f})".format(
time() - start_time_gain))
else:
logger.info("Skipping comparing gain solutions")
# Running Bandbpass comparison between observations
# =================================================
if 'bpass_compare_obs' in steps:
start_time_bandpass = time()
logger.info("Comparing banpdass solutions across observations")
logger.info("#### Doing nothing here yet ####")
logger.info(
"Comparing banpdass solutions across observations ... Done ({0:.0f})"
.format(time() - start_time_bandpass))
else:
logger.info(
"Skipping comparing banpdass solutions across observations")
# Running Bandbpass comparison between observations
# =================================================
if 'bpass_compare_obs' in steps:
start_time_gain = time()
logger.info("Comparing banpdass solutions across observations")
logger.info("#### Doing nothing here yet ####")
logger.info(
"Comparing banpdass solutions across observations ... Done ({0:.0f})"
.format(time() - start_time_gain))
else:
logger.info(
"Skipping comparing banpdass solutions across observations")
logger.info(
"Apertif cross-calibration stability evaluation ... Done ({0:.0f}s)".
format(time() - start_time))