Пример #1
0
 def test_convert(self):
     p = convert()
     p.basedir = path.join(here, '../data/small/')
     p.fluxcal = '3C295.MS'
     p.polcal = '3C138.MS'
     p.target = 'NGC807.MS'
     p.go()
Пример #2
0
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)