Source code for pipeline.hifa.cli.hifa_importdata

##################### generated by xml-casa (v2) from hifa_importdata.xml ###########
##################### 266789a14cb7a924036ac99496b631b2 ##############################
from __future__ import absolute_import
import numpy
from casatools.typecheck import CasaValidator as _val_ctor
_pc = _val_ctor( )
from casatools.coercetype import coerce as _coerce
from .private.task_hifa_importdata import hifa_importdata as _hifa_importdata_t
from casatasks.private.task_logging import start_log as _start_log
from casatasks.private.task_logging import end_log as _end_log

class _hifa_importdata:
    """
    hifa_importdata ---- Imports data into the interferometry pipeline

    Imports data into the interferometry pipeline.

    --------- parameter descriptions ---------------------------------------------

    vis               List of visibility data files.
                      These may be ASDMs, tar files of ASDMs,
                      MSes, or tar files of MSes. If ASDM files are specified, they will be
                      converted to MS format.
                      example: vis=['X227.ms', 'asdms.tar.gz']
    session           List of visibility data sessions
    pipelinemode      The pipeline operating mode.
                      In 'automatic' mode the pipeline determines the values of all
                      context defined pipeline inputs automatically.
                      In 'interactive' mode the user can set the pipeline context defined
                      parameters manually. In 'getinputs' mode the user can check the settings of
                      all pipeline parameters without running the task.
    asis              Extra ASDM tables to convert as is
    process_caldevice Import the caldevice table from the ASDM
    overwrite         Overwrite existing files on import
    nocopy            Disable copying of MS to working directory
    bdfflags          Apply BDF flags on import
    asimaging         Import MeasurementSets as imaging MeasurementSets
    lazy              Use the lazy filler import
    dbservice         Use the online flux catalog
    ocorr_mode        ALMA default set to ca
    createmms         Create an MMS
    minparang         Minimum required parallactic angle range for polarisation calibrator,
                      in degrees. The default of 0.0 is used for non-polarisation processing.
    dryrun            Run the task (False) or display task command (True)
    acceptresults     Add the results into the pipeline context

    --------- examples -----------------------------------------------------------

    
    The hifa_importdata task loads the specified visibility data into the pipeline
    context unpacking and / or converting it as necessary.
    
    
    Keyword arguments
    
    ---- pipeline parameter arguments which can be set in any pipeline mode
    
    
    session -- List of sessions to which the visibility files belong. Defaults
    to a single session containing all the visibility files, otherwise
    a session must be assigned to each vis file.
    
    default: []
    example: session=['session_1', 'session_2']
    
    
    
    ---- pipeline context defined parameter argument which can be set only in
    'interactive mode'
    
    asis -- ASDM tables to convert as is.
    
    default: 'SBSummary ExecBlock Antenna Station Receiver Source CalAtmosphere CalWVR'
    example: asis='Receiver', asis=''
    
    process_caldevice -- Ingest the ASDM caldevice table.
    
    default: False
    example: process_caldevice=True
    
    overwrite -- Overwrite existing MSes on output.
    
    default: False
    
    nocopy -- When importing an MS, disable copying of the MS to the working
    directory.
    
    default: False
    
    bdfflags -- Apply BDF flags on line.
    
    default: True
    
    ocorr_mode -- Read in cross- and auto-correlation data(ca), cross-
    correlation data only (co), or autocorrelation data only (ao).
    
    default: ca
    
    lazy -- Use the lazy filter import.
    
    default: False
    
    dbservice -- Use online flux catalog on import.
    
    default: False
    
    ocorr_mode -- Read in cross- and auto-correlation data(ca), cross-
    correlation data only (co), or autocorrelation data only (ao).
    
    default: ca
    
    createmms -- Create a multi-MeasurementSet ('true') ready for full parallel
    processing, or a standard MeasurementSet ('false'). The default setting
    ('automatic') creates an MMS if running in a cluster environment.
    
    default: 'false'
    
    --- pipeline task execution modes
    
    dryrun -- Run the commands (True) or generate the commands to be run but
    do not execute (False).
    
    default: True
    
    acceptresults -- Add the results of the task to the pipeline context (True) or
    reject them (False).
    
    default: True
    
    
    Output
    
    results -- If pipeline mode is 'getinputs' then None is returned. Otherwise
    the results object for the pipeline task is returned.
    
    
    Examples
    
    1. Load an ASDM list in the ../rawdata subdirectory into the context:
    
    hifa_importdata(vis=['../rawdata/uid___A002_X30a93d_X43e',
    '../rawdata/uid_A002_x30a93d_X44e'])
    
    2. Load an MS in the current directory into the context:
    
    hifa_importdata(vis=[uid___A002_X30a93d_X43e.ms])
    
    3. Load a tarred ASDM in ../rawdata into the context:
    
    hifa_importdata(vis=['../rawdata/uid___A002_X30a93d_X43e.tar.gz'])
    
    4. Check the hif_importdata inputs, then import the data:
    
    myvislist = ['uid___A002_X30a93d_X43e.ms', 'uid_A002_x30a93d_X44e.ms']
    hifa_importdata(vis=myvislist, pipelinemode='getinputs')
    hifa_importdata(vis=myvislist)
    
    5. Load an ASDM but check the results before accepting them into the context.
    
    results = hifa_importdata(vis=['uid___A002_X30a93d_X43e.ms'],
    acceptresults=False)
    results.accept()
    
    6. Run in dryrun mode before running for real:
    
    results = hifa_importdata(vis=['uid___A002_X30a93d_X43e.ms'], dryrun=True)
    results = hifa_importdata(vis=['uid___A002_X30a93d_X43e.ms'])
    


    """

    _info_group_ = """pipeline"""
    _info_desc_ = """Imports data into the interferometry pipeline"""

    def __call__( self, vis=[  ], session=[  ], pipelinemode='automatic', asis='SBSummary ExecBlock Antenna Station Receiver Source CalAtmosphere CalWVR CalPointing', process_caldevice=False, overwrite=False, nocopy=False, bdfflags=True, asimaging=False, lazy=False, dbservice=False, ocorr_mode='ca', createmms='false', minparang=float(0.0), dryrun=False, acceptresults=True ):
        schema = {'vis': {'type': 'cStrVec', 'coerce': [_coerce.to_list,_coerce.to_strvec]}, 'session': {'type': 'cStrVec', 'coerce': [_coerce.to_list,_coerce.to_strvec]}, 'pipelinemode': {'type': 'cStr', 'coerce': _coerce.to_str, 'allowed': [ 'automatic', 'interactive', 'getinputs' ]}, 'asis': {'type': 'cStr', 'coerce': _coerce.to_str}, 'process_caldevice': {'type': 'cBool'}, 'overwrite': {'type': 'cBool'}, 'nocopy': {'type': 'cBool'}, 'bdfflags': {'type': 'cBool'}, 'asimaging': {'type': 'cBool'}, 'lazy': {'type': 'cBool'}, 'dbservice': {'type': 'cBool'}, 'ocorr_mode': {'type': 'cStr', 'coerce': _coerce.to_str}, 'createmms': {'type': 'cStr', 'coerce': _coerce.to_str, 'allowed': [ 'false', 'true', 'automatic' ]}, 'minparang': {'type': 'cFloat', 'coerce': _coerce.to_float}, 'dryrun': {'type': 'cBool'}, 'acceptresults': {'type': 'cBool'}}
        doc = {'vis': vis, 'session': session, 'pipelinemode': pipelinemode, 'asis': asis, 'process_caldevice': process_caldevice, 'overwrite': overwrite, 'nocopy': nocopy, 'bdfflags': bdfflags, 'asimaging': asimaging, 'lazy': lazy, 'dbservice': dbservice, 'ocorr_mode': ocorr_mode, 'createmms': createmms, 'minparang': minparang, 'dryrun': dryrun, 'acceptresults': acceptresults}
        assert _pc.validate(doc,schema), str(_pc.errors)
        _logging_state_ = _start_log( 'hifa_importdata', [ 'vis=' + repr(_pc.document['vis']), 'session=' + repr(_pc.document['session']), 'pipelinemode=' + repr(_pc.document['pipelinemode']), 'asis=' + repr(_pc.document['asis']), 'process_caldevice=' + repr(_pc.document['process_caldevice']), 'overwrite=' + repr(_pc.document['overwrite']), 'nocopy=' + repr(_pc.document['nocopy']), 'bdfflags=' + repr(_pc.document['bdfflags']), 'asimaging=' + repr(_pc.document['asimaging']), 'lazy=' + repr(_pc.document['lazy']), 'dbservice=' + repr(_pc.document['dbservice']), 'ocorr_mode=' + repr(_pc.document['ocorr_mode']), 'createmms=' + repr(_pc.document['createmms']), 'minparang=' + repr(_pc.document['minparang']), 'dryrun=' + repr(_pc.document['dryrun']), 'acceptresults=' + repr(_pc.document['acceptresults']) ] )
        return _end_log( _logging_state_, 'hifa_importdata', _hifa_importdata_t( _pc.document['vis'], _pc.document['session'], _pc.document['pipelinemode'], _pc.document['asis'], _pc.document['process_caldevice'], _pc.document['overwrite'], _pc.document['nocopy'], _pc.document['bdfflags'], _pc.document['asimaging'], _pc.document['lazy'], _pc.document['dbservice'], _pc.document['ocorr_mode'], _pc.document['createmms'], _pc.document['minparang'], _pc.document['dryrun'], _pc.document['acceptresults'] ) )

hifa_importdata = _hifa_importdata( )