Exemplo n.º 1
0
def main(args):

    import sys, os
    from pypit import pypit
    from pypit.scripts import qa_html
    import traceback

    # Import PYPIT routines


    # Initiate logging for bugs and command line help
    # These messages will not be saved to a log file
    # Set the default variables
    qck = False
    cpu = 1
    #vrb = 2

    # Load options from command line
    debug['develop'] = debug['develop'] or args.develop
    debug['arc'] = debug['arc'] or args.debug_arc
    splitnm = os.path.splitext(args.pypit_file)
    if splitnm[1] != '.pypit':
        initmsgs.error("Bad extension for PYPIT reduction file."+initmsgs.newline()+".pypit is required")
    logname = splitnm[0] + ".log"

    # Execute the reduction, and catch any bugs for printout
    if debug['develop']:
        pypit.PYPIT(args.pypit_file, progname=pypit.__file__, quick=qck, ncpus=cpu, verbosity=args.verbosity,
              use_masters=args.use_masters, devtest=args.devtest, logname=logname, debug=debug)
    else:
        try:
            pypit.PYPIT(args.pypit_file, progname=pypit.__file__, quick=qck, ncpus=cpu, verbosity=args.verbosity,
                  use_masters=args.use_masters, devtest=args.devtest, logname=logname, debug=debug)
        except:
            # There is a bug in the code, print the file and line number of the error.
            et, ev, tb = sys.exc_info()
            filename, line_no = "<filename>", "<line_no>"
            while tb:
                co = tb.tb_frame.f_code
                filename = str(co.co_filename)
                try:
                    line_no = str(traceback.tb_lineno(tb))
                except AttributeError:  # Python 3
                    line_no = 'UNDEFINED'
                tb = tb.tb_next
            filename = filename.split('/')[-1]
            if str(ev) != "":
                initmsgs.bug("There appears to be a bug on Line " + line_no + " of " + filename + " with error:" +
                             initmsgs.newline() + str(ev) + initmsgs.newline() +
                             "---> please contact the authors")
            # Get armsgs instance to terminate
            from pypit.armsgs import get_logger
            get_logger().close()
            return 1
    return 0
Exemplo n.º 2
0
from astropy.table import Table as tTable, Column
from astropy import units as u

from linetools import utils as ltu

try:
    from xastropy.xutils import xdebug as debugger
except:
    import pdb as debugger
try:
    basestring
except NameError:
    basestring = str

# Logging
msgs = armsgs.get_logger()


def sort_data(argflag, spect, fitsdict):
    """
    Create an exposure class for every science frame

    Parameters
    ----------
    argflag : dict
      Arguments and flags used for reduction
    spect : dict
      Properties of the spectrograph.
    fitsdict : dict
      Contains relevant information from fits header files
Exemplo n.º 3
0
from __future__ import (print_function, absolute_import, division,
                        unicode_literals)

import numpy as np
from astropy.table import Table, Column, vstack
import glob, copy
import yaml

from pypit import armsgs
from pypit import arparse as settings

from pypit import ardebug as debugger

# Logging
msgs = armsgs.get_logger()


def parse_nist(slf, ion):
    """Parse a NIST ASCII table.  Note that the long ---- should have
    been commented out and also the few lines at the start.

    Parameters
    ----------
    ion : str
      Name of ion
    """
    # Root (for development only)
    if slf is None:
        from pypit import arutils as arut
        msgs.warn("Using arutils.dummy_self.  Better know what you are doing.")
        slf = arut.dummy_self()
Exemplo n.º 4
0
def main(args):

    import sys, os
    from pypit import pypit
    import traceback

    # Import PYPIT routines

    # Initiate logging for bugs and command line help
    # These messages will not be saved to a log file
    # Set the default variables
    qck = False
    cpu = 1
    # vrb = 2

    # Load options from command line
    debug["develop"] = debug["develop"] or args.develop
    debug["arc"] = debug["arc"] or args.debug_arc
    splitnm = os.path.splitext(args.pypit_file)
    if splitnm[1] != ".pypit":
        initmsgs.error("Bad extension for PYPIT reduction file." + initmsgs.newline() + ".pypit is required")
    logname = splitnm[0] + ".log"

    # Execute the reduction, and catch any bugs for printout
    if debug["develop"]:
        pypit.PYPIT(
            args.pypit_file,
            progname=pypit.__file__,
            quick=qck,
            ncpus=cpu,
            verbose=args.verbose,
            use_masters=args.use_masters,
            logname=logname,
            debug=debug,
        )
    else:
        try:
            pypit.PYPIT(
                args.pypit_file,
                progname=pypit.__file__,
                quick=qck,
                ncpus=cpu,
                verbose=args.verbose,
                use_masters=args.use_masters,
                logname=logname,
                debug=debug,
            )
        except:
            # There is a bug in the code, print the file and line number of the error.
            et, ev, tb = sys.exc_info()
            filename, line_no = "<filename>", "<line_no>"
            while tb:
                co = tb.tb_frame.f_code
                filename = str(co.co_filename)
                line_no = str(traceback.tb_lineno(tb))
                tb = tb.tb_next
            filename = filename.split("/")[-1]
            if str(ev) != "":
                initmsgs.bug(
                    "There appears to be a bug on Line "
                    + line_no
                    + " of "
                    + filename
                    + " with error:"
                    + initmsgs.newline()
                    + str(ev)
                    + initmsgs.newline()
                    + "---> please contact the authors"
                )
            # Get armsgs instance to terminate
            from pypit.armsgs import get_logger

            get_logger().close()
Exemplo n.º 5
0
def PYPIT(redname,
          debug=None,
          progname=__file__,
          quick=False,
          ncpus=1,
          verbosity=1,
          use_masters=False,
          devtest=False,
          logname=None):
    """ Main driver of the PYPIT code. Default settings and
    user-specified changes are made, and passed to the
    appropriate code for data reduction.

    Parameters
    ----------
    redname : string
      Input reduction script
    debug : dict, optional
      Debug dict
    progname : string
      Name of the program
    quick : bool
      If True, a quick reduction (but possibly less
      accurate) will be performed. This flag is most
      useful for observing at a telescope, but not
      for publication quality results.
    ncpus : int
      Number of CPUs to use for multiprocessing the
      data reduction (sometimes not used)
    verbosity : int (0,1,2)
      Level of verbosity:
        0 = No output
        1 = Minimal output (default - suitable for the average user)
        2 = All output
    use_masters : bool, optional
      Load calibration files from MasterFrames directory, if they exist
    devtest : bool, optional
      Running PYPIT-Development suite;  will turn instrument-specific options
    logname : str or None
          The name of an ascii log file which is used to
          save the output details of the reduction
        debug : dict
          A PYPIT debug dict (from ardebug.init)
        version : str
        last_updated : str
    ---------------------------------------------------
    """
    from pypit import ardebug
    # Init logger
    if debug is None:
        debug = ardebug.init()
    msgs = armsgs.get_logger((logname, debug, verbosity))
    msgs.pypit_file = redname

    # This needs to be loaded after msgs
    from pypit import arparse

    # version checking
    try:
        archeck.version_check()
    except archeck.VersionError as err:
        msgs.error(err.message)

    # First send all signals to messages to be dealt with (i.e. someone hits ctrl+c)
    sigsignal(SIGINT, msgs.signal_handler)

    # Ignore all warnings given by python
    resetwarnings()
    simplefilter("ignore")

    # Record the starting time
    tstart = time()

    # Load the input file
    pyp_dict = load_input(redname, msgs)
    parlines, datlines, spclines = [
        pyp_dict[ii] for ii in ['par', 'dat', 'spc']
    ]

    # Initialize the arguments and flags
    #    argflag = arload.argflag_init()
    #    settings.argflag['run']['ncpus'] = ncpus
    #    settings.argflag['output']['verbosity'] = verbosity

    # Determine the name of the spectrograph
    specname = None
    for i in range(len(parlines)):
        parspl = parlines[i].split()
        if len(parspl) < 3:
            msgs.error(
                "There appears to be a missing argument on the following input line"
                + msgs.newline() + parlines[i])
        if (parspl[0] == 'run') and (parspl[1] == 'spectrograph'):
            specname = parspl[2]
            break
    if specname is None:
        msgs.error(
            "Please specify the spectrograph settings to be used with the command"
            + msgs.newline() + "run spectrograph <name>")
    msgs.info("Reducing data from the {0:s} spectrograph".format(specname))

    # Determine the type of reduction used for this spectrograph
    redtype = None
    # Get the software path
    prgn_spl = progname.split('/')
    tfname = "/".join(prgn_spl[:-1]) + "/"
    # Settings file
    fname = tfname + 'data/settings/settings.' + specname
    try:
        spl = open(fname, 'r').readlines()
    except IOError:
        msgs.error(
            "The following instrument settings file cannot be found:" +
            msgs.newline() + fname + msgs.newline() +
            "Please check the settings file exists, and that the instrument name is spelt correctly."
        )
    for i in range(len(spl)):
        parspl = spl[i].split()
        if len(parspl) < 3:
            continue
        if (parspl[0] == 'mosaic') and (parspl[1] == 'reduction'):
            redtype = parspl[2]
            break
    if redtype is None:
        msgs.bug(
            "The {0:s} instrument settings file must contain the reduction type"
            .format(specname))
        msgs.error("Please specify the reduction type with the command" +
                   msgs.newline() + "mosaic reduction <type>")

    # Load default reduction arguments/flags, and set any command line arguments
    argf = arparse.get_argflag_class(
        (redtype.upper(), ".".join(redname.split(".")[:-1])))
    argf.init_param()
    # Run specific
    argf.set_param('run pypitdir {0:s}'.format(tfname))
    argf.set_param('run progname {0:s}'.format(progname))
    argf.set_param('run redname {0:s}'.format(redname))
    # Load user changes to the arguments/flags
    plines = argf.load_lines(parlines)
    argf.set_paramlist(plines)
    # If the user wishes to load a settings file, do that now
    if argf.__dict__['_argflag']['run']['load']['settings'] is not None:
        lines = argf.load_file(
            argf.__dict__['_argflag']['run']['load']['settings'])
        argf.set_paramlist(lines)

    # Load default spectrograph settings
    spect = arparse.get_spect_class(
        (redtype.upper(), specname, ".".join(redname.split(".")[:-1])))
    lines = spect.load_file(base=True)  # Base spectrograph settings
    spect.set_paramlist(lines)
    lines = spect.load_file()  # Instrument specific
    spect.set_paramlist(lines)
    # Load frametype numbers, as relevant
    if len(pyp_dict['ftype']) > 0:
        ftlines = spect.load_ftype(pyp_dict['ftype'])
        plines = spect.load_lines(ftlines)
        spect.set_paramlist(plines)
    # Load user changes to the arguments/flags
    plines = spect.load_lines(spclines)
    spect.set_paramlist(plines)
    if argf.__dict__['_argflag']['run']['load']['spect'] is not None:
        lines = spect.load_file(
            argf.__dict__['_argflag']['run']['load']['spect'])
        spect.set_paramlist(lines)
    # If the instrument settings file sets some argflag settings, implement those changes now
    if len(spect.__dict__['_settings']) != 0:
        argf.set_paramlist(spect.__dict__['_settings'])
    # Load command line changes
    argf.set_param('run ncpus {0:d}'.format(ncpus))
    argf.set_param('output verbosity {0:d}'.format(verbosity))
    if use_masters:
        argf.set_param('reduce masters reuse True')
    msgs.work("Make appropriate changes to quick reduction")
    # Load Development suite changes
    if devtest:
        msgs.info(
            "Loading instrument specific argurment for Development Suite tests"
        )
        from pypit import ardevtest
        ardevtest.set_param(argf, specname)

    if quick:
        # If a quick reduction has been requested, make sure the requested pipeline
        # is the quick implementation (if it exists), otherwise run the standard pipeline.
        msgs.work("QUICK REDUCTION TO STILL BE DONE")
    # Setup from PYPIT file?
    if len(pyp_dict['setup']['name']) == 1:
        argf.set_param('setup name {:s}'.format(pyp_dict['setup']['name'][0]))
    # Finally, save the arguments/flags and spectrograph settings used for this reduction
    argf.save()
    spect.save()

    # Now that all of the relevant settings are loaded, globalize the settings
    arparse.init(argf, spect)
    '''
    # Test that a maximum of one .setup files is present
    from pypit import arsort
    setup_file, nexist = arsort.get_setup_file()
    if nexist == 1:
        msgs.info("Found setup_file: {:s}".format(setup_file))
        msgs.info("Will use this to guide the data reduction.")
    '''

    # Load the important information from the fits headers
    from pypit.arload import load_headers
    fitsdict, updates = load_headers(datlines)

    # If some settings were updated because of the fits headers, globalize the settings again
    if len(updates) != 0:
        spect.set_paramlist(updates)
        arparse.init(argf, spect)

    # If the dispersion direction is 1, flip the axes
    if arparse.argflag['trace']['dispersion']['direction'] == 1:
        # Update the keywords of all fits files
        for ff in range(len(fitsdict['naxis0'])):
            temp = fitsdict['naxis0'][ff]
            fitsdict['naxis0'][ff] = fitsdict['naxis1'][ff]
            fitsdict['naxis1'][ff] = temp
        # Update the spectrograph settings for all detectors in the mosaic
        for dd in range(arparse.spect['mosaic']['ndet']):
            ddnum = arparse.get_dnum(dd + 1)
            # Change the user-specified (x,y) pixel sizes
            tmp = arparse.spect[ddnum]['xgap']
            arparse.spect[ddnum]['xgap'] = arparse.spect[ddnum]['ygap']
            arparse.spect[ddnum]['ygap'] = tmp
            arparse.spect[ddnum]['ysize'] = 1.0 / arparse.spect[ddnum]['ysize']
            # Update the amplifier/data/overscan sections
            for i in range(arparse.spect[ddnum]['numamplifiers']):
                # Flip the order of the sections
                arparse.spect[ddnum]['datasec{0:02d}'.format(
                    i + 1)] = arparse.spect[ddnum]['datasec{0:02d}'.format(
                        i + 1)][::-1]
                arparse.spect[ddnum]['oscansec{0:02d}'.format(
                    i + 1)] = arparse.spect[ddnum]['oscansec{0:02d}'.format(
                        i + 1)][::-1]
    # Reduce the data!
    status = 0
    # Send the data away to be reduced
    if spect.__dict__['_spect']['mosaic']['reduction'] == 'ARMLSD':
        msgs.info("Data reduction will be performed using PYPIT-ARMLSD")
        from pypit import armlsd
        status = armlsd.ARMLSD(fitsdict)
    elif spect.__dict__['_spect']['mosaic']['reduction'] == 'ARMED':
        msgs.info("Data reduction will be performed using PYPIT-ARMED")
        from pypit import armed
        status = armed.ARMED(fitsdict)
    # Check for successful reduction
    if status == 0:
        from pypit import arqa
        msgs.info("Data reduction complete")
        # QA HTML
        msgs.info("Generating QA HTML")
        arqa.gen_mf_html(redname)
        arqa.gen_exp_html()
    elif status == 1:
        msgs.info("Setup complete")
    elif status == 2:
        msgs.info("Calcheck complete")
    else:
        msgs.error("Data reduction failed with status ID {0:d}".format(status))
    # Capture the end time and print it to user
    tend = time()
    codetime = tend - tstart
    if codetime < 60.0:
        msgs.info("Data reduction execution time: {0:.2f}s".format(codetime))
    elif codetime / 60.0 < 60.0:
        mns = int(codetime / 60.0)
        scs = codetime - 60.0 * mns
        msgs.info("Data reduction execution time: {0:d}m {1:.2f}s".format(
            mns, scs))
    else:
        hrs = int(codetime / 3600.0)
        mns = int(60.0 * (codetime / 3600.0 - hrs))
        scs = codetime - 60.0 * mns - 3600.0 * hrs
        msgs.info(
            "Data reduction execution time: {0:d}h {1:d}m {2:.2f}s".format(
                hrs, mns, scs))
    return
Exemplo n.º 6
0
def PYPIT(redname, debug=None, progname=__file__, quick=False, ncpus=1, verbose=1,
          use_masters=False, logname=None):
    """
    Main driver of the PYPIT code. Default settings and
    user-specified changes are made, and passed to the
    appropriate code for data reduction.

    Parameters
    ----------
    redname : string
      Input reduction script
    debug : dict, optional
      Debug dict
    progname : string
      Name of the program
    quick : bool
      If True, a quick reduction (but possibly less
      accurate) will be performed. This flag is most
      useful for observing at a telescope, but not
      for publication quality results.
    ncpus : int
      Number of CPUs to use for multiprocessing the
      data reduction (sometimes not used)
    verbose : int (0,1,2)
      Level of verbosity:
        0 = No output
        1 = Minimal output (default - suitable for the average user)
        2 = All output
    use_masters : bool, optional
      Load calibration files from MasterFrames directory, if they exist
    logname : str or None
          The name of an ascii log file which is used to
          save the output details of the reduction
        debug : dict
          A PYPIT debug dict (from ardebug.init)
        version : str
        last_updated : str
    ---------------------------------------------------
    """
    from pypit import ardebug
    # Init logger
    if debug is None:
        debug=ardebug.init()
    msgs = armsgs.get_logger((logname, debug, verbose))
    from pypit import arload  # This needs to be after msgs is defined!

    # First send all signals to messages to be dealt with (i.e. someone hits ctrl+c)
    sigsignal(SIGINT, msgs.signal_handler)

    # Ignore all warnings given by python
    resetwarnings()
    simplefilter("ignore")

    # Record the starting time
    tstart = time()

    # Load the input file
    parlines, datlines, spclines = arload.load_input(redname)

    # Initialize the arguments and flags
    argflag = arload.argflag_init()
    argflag['run']['ncpus'] = ncpus
    argflag['out']['verbose'] = verbose

    # Determine the name of the spectrograph
    specname = None
    for i in range(len(parlines)):
        parspl = parlines[i].split()
        if len(parspl) < 3:
            msgs.error("There appears to be a missing argument on the following input line" + msgs.newline() +
                       parlines[i])
        if (parspl[0] == 'run') and (parspl[1] == 'spectrograph'):
            specname = parspl[2]
    if specname is None:
        msgs.error("Please specify the spectrograph settings to be used with the command" + msgs.newline() +
                   "run spectrograph <name>")
    msgs.info("Reducing data from the {0:s} spectrograph".format(specname))

    # Load the Spectrograph settings
    spect = arload.load_spect(progname, specname)

    # Load default reduction arguments/flags, and set any command line arguments
    #argflag = arload.optarg(argflag, cmdlnarg, spect['mosaic']['reduction'].lower())
    # Load the default settings
    prgn_spl = progname.split('/')
    tfname = ""
    for i in range(0,len(prgn_spl)-1): tfname += prgn_spl[i]+"/"
    #fname = tfname + prgn_spl[-2] + '/settings.' + spect['mosaic']['reduction'].lower()
    fname = tfname + '/settings.' + spect['mosaic']['reduction'].lower()
    argflag = arload.load_settings(fname, argflag)
    argflag['run']['prognm'] = progname
    argflag['run']['pypitdir'] = tfname

    # Now update the settings based on the user input file
    argflag = arload.set_params(parlines, argflag, setstr="Input ")
    # Check the input file
    arload.check_argflag(argflag)

    # Load any changes to the spectrograph settings based on the user input file
    spect = arload.load_spect(progname, specname, spect=spect, lines=spclines)

    # Command line arguments
    if use_masters:
        argflag['masters']['use'] = True

    # If a quick reduction has been requested, make sure the requested pipeline
    # is the quick implementation (if it exists), otherwise run the standard pipeline.
    if quick:
        # Change to a "quick" settings file
        msgs.work("QUICK REDUCTION TO STILL BE DONE")

    # Load the important information from the fits headers
    fitsdict = arload.load_headers(argflag, spect, datlines)

    # Reduce the data!
    status = 0
    msgs.work("Make appropriate changes to quick reduction")
    if quick:
        msgs.work("define what is needed here for quick reduction")
    # Send the data away to be reduced
    if spect['mosaic']['reduction'] == 'ARMLSD':
        msgs.info("Data reduction will be performed using PYPIT-ARMLSD")
        from pypit import armlsd
        status = armlsd.ARMLSD(argflag, spect, fitsdict)
    elif spect['mosaic']['reduction'] == 'ARMED':
        msgs.info("Data reduction will be performed using PYPIT-ARMED")
        from pypit import armed
        status = armed.ARMED(argflag, spect, fitsdict)
    # Check for successful reduction
    if status == 0:
        msgs.info("Data reduction complete")
    else:
        msgs.error("Data reduction failed with status ID {0:d}".format(status))
    # Capture the end time and print it to user
    tend = time()
    codetime = tend-tstart
    if codetime < 60.0:
        msgs.info("Data reduction execution time: {0:.2f}s".format(codetime))
    elif codetime/60.0 < 60.0:
        mns = int(codetime/60.0)
        scs = codetime - 60.0*mns
        msgs.info("Data reduction execution time: {0:d}m {1:.2f}s".format(mns, scs))
    else:
        hrs = int(codetime/3600.0)
        mns = int(60.0*(codetime/3600.0 - hrs))
        scs = codetime - 60.0*mns - 3600.0*hrs
        msgs.info("Data reduction execution time: {0:d}h {1:d}m {2:.2f}s".format(hrs, mns, scs))
    return
Exemplo n.º 7
0
import numpy as np

from pypit import armsgs
from pypit import pyputils

# CANNOT LOAD DEBUGGER AS THIS MODULE IS CALLED BY ARDEBUG
#from pypit import ardebug as debugger
import pdb as debugger

try:
    basestring
except NameError:
    basestring = str

# Logging
msgs = armsgs.get_logger()  # THESE MAY NOT WORK..
'''
if msgs is None:  # For usage outside of PYPIT
    msgs = pyputils.get_dummy_logger()
    armsgs.pypit_logger = msgs
'''


def connect_to_ginga(host='localhost', port=9000):
    """ Connect to an active RC Ginga
    Parameters
    ----------
    host : str, optional
    port : int, optional

    Returns