##################### generated by xml-casa (v2) from hifa_importdata.xml ###########
##################### 266789a14cb7a924036ac99496b631b2 ##############################
from __future__ import absolute_import
from casashell.private.stack_manip import find_local as __sf__
from casashell.private.stack_manip import find_frame as _find_frame
from casatools.typecheck import validator as _pc
from casatools.coercetype import coerce as _coerce
from pipeline.hifa.cli import hifa_importdata as _hifa_importdata_t
from collections import OrderedDict
import numpy
import sys
import os
import shutil
[docs]def static_var(varname, value):
def decorate(func):
setattr(func, varname, value)
return func
return decorate
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"""
__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'}}
def __init__(self):
self.__stdout = None
self.__stderr = None
self.__root_frame_ = None
def __globals_(self):
if self.__root_frame_ is None:
self.__root_frame_ = _find_frame( )
assert self.__root_frame_ is not None, "could not find CASAshell global frame"
return self.__root_frame_
def __to_string_(self,value):
if type(value) is str:
return "'%s'" % value
else:
return str(value)
def __validate_(self,doc,schema):
return _pc.validate(doc,schema)
def __do_inp_output(self,param_prefix,description_str,formatting_chars):
out = self.__stdout or sys.stdout
description = description_str.split( )
prefix_width = 23 + 20 + 4
output = [ ]
addon = ''
first_addon = True
while len(description) > 0:
## starting a new line.....................................................................
if len(output) == 0:
## for first line add parameter information............................................
if len(param_prefix)-formatting_chars > prefix_width - 1:
output.append(param_prefix)
continue
addon = param_prefix + ' #'
first_addon = True
addon_formatting = formatting_chars
else:
## for subsequent lines space over prefix width........................................
addon = (' ' * prefix_width) + '#'
first_addon = False
addon_formatting = 0
## if first word of description puts us over the screen width, bail........................
if len(addon + description[0]) - addon_formatting + 1 > self.term_width:
## if we're doing the first line make sure it's output.................................
if first_addon: output.append(addon)
break
while len(description) > 0:
## if the next description word puts us over break for the next line...................
if len(addon + description[0]) - addon_formatting + 1 > self.term_width: break
addon = addon + ' ' + description[0]
description.pop(0)
output.append(addon)
out.write('\n'.join(output) + '\n')
#--------- return nonsubparam values ----------------------------------------------
def __createmms_dflt( self, glb ):
return 'false'
def __createmms( self, glb ):
if 'createmms' in glb: return glb['createmms']
return 'false'
def __dbservice_dflt( self, glb ):
return False
def __dbservice( self, glb ):
if 'dbservice' in glb: return glb['dbservice']
return False
def __minparang_dflt( self, glb ):
return float(0.0)
def __minparang( self, glb ):
if 'minparang' in glb: return glb['minparang']
return float(0.0)
def __session_dflt( self, glb ):
return [ ]
def __session( self, glb ):
if 'session' in glb: return glb['session']
return [ ]
def __vis_dflt( self, glb ):
return [ ]
def __vis( self, glb ):
if 'vis' in glb: return glb['vis']
return [ ]
def __lazy_dflt( self, glb ):
return False
def __lazy( self, glb ):
if 'lazy' in glb: return glb['lazy']
return False
def __asimaging_dflt( self, glb ):
return False
def __asimaging( self, glb ):
if 'asimaging' in glb: return glb['asimaging']
return False
def __pipelinemode_dflt( self, glb ):
return 'automatic'
def __pipelinemode( self, glb ):
if 'pipelinemode' in glb: return glb['pipelinemode']
return 'automatic'
#--------- return inp/go default --------------------------------------------------
def __dryrun_dflt( self, glb ):
if self.__pipelinemode( glb ) == "interactive": return bool(False)
return None
def __asis_dflt( self, glb ):
if self.__pipelinemode( glb ) == "interactive": return "SBSummary ExecBlock Antenna Station Receiver Source CalAtmosphere CalWVR CalPointing"
if self.__pipelinemode( glb ) == "getinputs": return "SBSummary ExecBlock Antenna Station Receiver Source CalAtmosphere CalWVR"
return None
def __acceptresults_dflt( self, glb ):
if self.__pipelinemode( glb ) == "interactive": return bool(True)
return None
def __ocorr_mode_dflt( self, glb ):
if self.__pipelinemode( glb ) == "interactive": return "ca"
if self.__pipelinemode( glb ) == "getinputs": return "ca"
return None
def __bdfflags_dflt( self, glb ):
if self.__pipelinemode( glb ) == "interactive": return bool(True)
if self.__pipelinemode( glb ) == "getinputs": return bool(True)
return None
def __overwrite_dflt( self, glb ):
if self.__pipelinemode( glb ) == "interactive": return bool(False)
if self.__pipelinemode( glb ) == "getinputs": return bool(False)
return None
def __process_caldevice_dflt( self, glb ):
if self.__pipelinemode( glb ) == "interactive": return bool(False)
if self.__pipelinemode( glb ) == "getinputs": return bool(False)
return None
def __nocopy_dflt( self, glb ):
if self.__pipelinemode( glb ) == "interactive": return bool(False)
if self.__pipelinemode( glb ) == "getinputs": return bool(False)
return None
#--------- return subparam values -------------------------------------------------
def __asis( self, glb ):
if 'asis' in glb: return glb['asis']
dflt = self.__asis_dflt( glb )
if dflt is not None: return dflt
return 'SBSummary ExecBlock Antenna Station Receiver Source CalAtmosphere CalWVR CalPointing'
def __process_caldevice( self, glb ):
if 'process_caldevice' in glb: return glb['process_caldevice']
dflt = self.__process_caldevice_dflt( glb )
if dflt is not None: return dflt
return False
def __overwrite( self, glb ):
if 'overwrite' in glb: return glb['overwrite']
dflt = self.__overwrite_dflt( glb )
if dflt is not None: return dflt
return False
def __nocopy( self, glb ):
if 'nocopy' in glb: return glb['nocopy']
dflt = self.__nocopy_dflt( glb )
if dflt is not None: return dflt
return False
def __bdfflags( self, glb ):
if 'bdfflags' in glb: return glb['bdfflags']
dflt = self.__bdfflags_dflt( glb )
if dflt is not None: return dflt
return True
def __ocorr_mode( self, glb ):
if 'ocorr_mode' in glb: return glb['ocorr_mode']
dflt = self.__ocorr_mode_dflt( glb )
if dflt is not None: return dflt
return 'ca'
def __dryrun( self, glb ):
if 'dryrun' in glb: return glb['dryrun']
dflt = self.__dryrun_dflt( glb )
if dflt is not None: return dflt
return False
def __acceptresults( self, glb ):
if 'acceptresults' in glb: return glb['acceptresults']
dflt = self.__acceptresults_dflt( glb )
if dflt is not None: return dflt
return True
#--------- subparam inp output ----------------------------------------------------
def __vis_inp(self):
description = 'List of input visibility data'
value = self.__vis( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'vis': value},{'vis': self.__schema['vis']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output('%-20.20s = %s%-23s%s' % ('vis',pre,self.__to_string_(value),post),description,0+len(pre)+len(post))
def __session_inp(self):
description = 'List of visibility data sessions'
value = self.__session( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'session': value},{'session': self.__schema['session']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output('%-20.20s = %s%-23s%s' % ('session',pre,self.__to_string_(value),post),description,0+len(pre)+len(post))
def __pipelinemode_inp(self):
description = 'The pipeline operating mode'
value = self.__pipelinemode( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'pipelinemode': value},{'pipelinemode': self.__schema['pipelinemode']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output('\x1B[1m\x1B[47m%-20.20s =\x1B[0m %s%-23s%s' % ('pipelinemode',pre,self.__to_string_(value),post),description,13+len(pre)+len(post))
def __asis_inp(self):
if self.__asis_dflt( self.__globals_( ) ) is not None:
description = 'Extra ASDM tables to convert as is'
value = self.__asis( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'asis': value},{'asis': self.__schema['asis']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output(' \x1B[92m%-17.17s =\x1B[0m %s%-23s%s' % ('asis',pre,self.__to_string_(value),post),description,9+len(pre)+len(post))
def __process_caldevice_inp(self):
if self.__process_caldevice_dflt( self.__globals_( ) ) is not None:
description = 'Import the caldevice table from the ASDM'
value = self.__process_caldevice( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'process_caldevice': value},{'process_caldevice': self.__schema['process_caldevice']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output(' \x1B[92m%-17.17s =\x1B[0m %s%-23s%s' % ('process_caldevice',pre,self.__to_string_(value),post),description,9+len(pre)+len(post))
def __overwrite_inp(self):
if self.__overwrite_dflt( self.__globals_( ) ) is not None:
description = 'Overwrite existing files on import'
value = self.__overwrite( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'overwrite': value},{'overwrite': self.__schema['overwrite']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output(' \x1B[92m%-17.17s =\x1B[0m %s%-23s%s' % ('overwrite',pre,self.__to_string_(value),post),description,9+len(pre)+len(post))
def __nocopy_inp(self):
if self.__nocopy_dflt( self.__globals_( ) ) is not None:
description = 'Disable copying of MS to working directory'
value = self.__nocopy( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'nocopy': value},{'nocopy': self.__schema['nocopy']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output(' \x1B[92m%-17.17s =\x1B[0m %s%-23s%s' % ('nocopy',pre,self.__to_string_(value),post),description,9+len(pre)+len(post))
def __bdfflags_inp(self):
if self.__bdfflags_dflt( self.__globals_( ) ) is not None:
description = 'Apply BDF flags on import'
value = self.__bdfflags( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'bdfflags': value},{'bdfflags': self.__schema['bdfflags']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output(' \x1B[92m%-17.17s =\x1B[0m %s%-23s%s' % ('bdfflags',pre,self.__to_string_(value),post),description,9+len(pre)+len(post))
def __asimaging_inp(self):
description = 'Import MeasurementSets as imaging MeasurementSets'
value = self.__asimaging( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'asimaging': value},{'asimaging': self.__schema['asimaging']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output('%-20.20s = %s%-23s%s' % ('asimaging',pre,self.__to_string_(value),post),description,0+len(pre)+len(post))
def __lazy_inp(self):
description = 'Use the lazy filler import'
value = self.__lazy( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'lazy': value},{'lazy': self.__schema['lazy']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output('%-20.20s = %s%-23s%s' % ('lazy',pre,self.__to_string_(value),post),description,0+len(pre)+len(post))
def __dbservice_inp(self):
description = 'Use the online flux catalog'
value = self.__dbservice( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'dbservice': value},{'dbservice': self.__schema['dbservice']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output('%-20.20s = %s%-23s%s' % ('dbservice',pre,self.__to_string_(value),post),description,0+len(pre)+len(post))
def __ocorr_mode_inp(self):
if self.__ocorr_mode_dflt( self.__globals_( ) ) is not None:
description = 'ALMA default set to ca'
value = self.__ocorr_mode( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'ocorr_mode': value},{'ocorr_mode': self.__schema['ocorr_mode']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output(' \x1B[92m%-17.17s =\x1B[0m %s%-23s%s' % ('ocorr_mode',pre,self.__to_string_(value),post),description,9+len(pre)+len(post))
def __createmms_inp(self):
description = 'Create an MMS'
value = self.__createmms( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'createmms': value},{'createmms': self.__schema['createmms']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output('%-20.20s = %s%-23s%s' % ('createmms',pre,self.__to_string_(value),post),description,0+len(pre)+len(post))
def __minparang_inp(self):
description = 'Parallactic angle threshold'
value = self.__minparang( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'minparang': value},{'minparang': self.__schema['minparang']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output('%-20.20s = %s%-23s%s' % ('minparang',pre,self.__to_string_(value),post),description,0+len(pre)+len(post))
def __dryrun_inp(self):
if self.__dryrun_dflt( self.__globals_( ) ) is not None:
description = 'Run the task (False) or display task command (True)'
value = self.__dryrun( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'dryrun': value},{'dryrun': self.__schema['dryrun']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output(' \x1B[92m%-17.17s =\x1B[0m %s%-23s%s' % ('dryrun',pre,self.__to_string_(value),post),description,9+len(pre)+len(post))
def __acceptresults_inp(self):
if self.__acceptresults_dflt( self.__globals_( ) ) is not None:
description = 'Add the results into the pipeline context'
value = self.__acceptresults( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'acceptresults': value},{'acceptresults': self.__schema['acceptresults']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output(' \x1B[92m%-17.17s =\x1B[0m %s%-23s%s' % ('acceptresults',pre,self.__to_string_(value),post),description,9+len(pre)+len(post))
#--------- global default implementation-------------------------------------------
@static_var('state', __sf__('casa_inp_go_state'))
def set_global_defaults(self):
self.set_global_defaults.state['last'] = self
glb = self.__globals_( )
if 'dryrun' in glb: del glb['dryrun']
if 'lazy' in glb: del glb['lazy']
if 'asis' in glb: del glb['asis']
if 'pipelinemode' in glb: del glb['pipelinemode']
if 'createmms' in glb: del glb['createmms']
if 'vis' in glb: del glb['vis']
if 'acceptresults' in glb: del glb['acceptresults']
if 'ocorr_mode' in glb: del glb['ocorr_mode']
if 'bdfflags' in glb: del glb['bdfflags']
if 'session' in glb: del glb['session']
if 'asimaging' in glb: del glb['asimaging']
if 'overwrite' in glb: del glb['overwrite']
if 'dbservice' in glb: del glb['dbservice']
if 'process_caldevice' in glb: del glb['process_caldevice']
if 'nocopy' in glb: del glb['nocopy']
if 'minparang' in glb: del glb['minparang']
#--------- inp function -----------------------------------------------------------
def inp(self):
print("# hifa_importdata -- %s" % self._info_desc_)
self.term_width, self.term_height = shutil.get_terminal_size(fallback=(80, 24))
self.__vis_inp( )
self.__session_inp( )
self.__pipelinemode_inp( )
self.__asis_inp( )
self.__process_caldevice_inp( )
self.__overwrite_inp( )
self.__nocopy_inp( )
self.__bdfflags_inp( )
self.__asimaging_inp( )
self.__lazy_inp( )
self.__dbservice_inp( )
self.__ocorr_mode_inp( )
self.__createmms_inp( )
self.__minparang_inp( )
self.__dryrun_inp( )
self.__acceptresults_inp( )
#--------- tget function ----------------------------------------------------------
@static_var('state', __sf__('casa_inp_go_state'))
def tget(self,file=None):
from casashell.private.stack_manip import find_frame
from runpy import run_path
filename = None
if file is None:
if os.path.isfile("hifa_importdata.last"):
filename = "hifa_importdata.last"
elif isinstance(file, str):
if os.path.isfile(file):
filename = file
if filename is not None:
glob = find_frame( )
newglob = run_path( filename, init_globals={ } )
for i in newglob:
glob[i] = newglob[i]
self.tget.state['last'] = self
else:
print("could not find last file, setting defaults instead...")
self.set_global_defaults( )
def __call__( self, vis=None, session=None, pipelinemode=None, asis=None, process_caldevice=None, overwrite=None, nocopy=None, bdfflags=None, asimaging=None, lazy=None, dbservice=None, ocorr_mode=None, createmms=None, minparang=None, dryrun=None, acceptresults=None ):
def noobj(s):
if s.startswith('<') and s.endswith('>'):
return "None"
else:
return s
_prefile = os.path.realpath('hifa_importdata.pre')
_postfile = os.path.realpath('hifa_importdata.last')
_return_result_ = None
_arguments = [vis,session,pipelinemode,asis,process_caldevice,overwrite,nocopy,bdfflags,asimaging,lazy,dbservice,ocorr_mode,createmms,minparang,dryrun,acceptresults]
_invocation_parameters = OrderedDict( )
if any(map(lambda x: x is not None,_arguments)):
# invoke python style
# set the non sub-parameters that are not None
local_global = { }
if vis is not None: local_global['vis'] = vis
if session is not None: local_global['session'] = session
if pipelinemode is not None: local_global['pipelinemode'] = pipelinemode
if asimaging is not None: local_global['asimaging'] = asimaging
if lazy is not None: local_global['lazy'] = lazy
if dbservice is not None: local_global['dbservice'] = dbservice
if createmms is not None: local_global['createmms'] = createmms
if minparang is not None: local_global['minparang'] = minparang
# the invocation parameters for the non-subparameters can now be set - this picks up those defaults
_invocation_parameters['vis'] = self.__vis( local_global )
_invocation_parameters['session'] = self.__session( local_global )
_invocation_parameters['pipelinemode'] = self.__pipelinemode( local_global )
_invocation_parameters['asimaging'] = self.__asimaging( local_global )
_invocation_parameters['lazy'] = self.__lazy( local_global )
_invocation_parameters['dbservice'] = self.__dbservice( local_global )
_invocation_parameters['createmms'] = self.__createmms( local_global )
_invocation_parameters['minparang'] = self.__minparang( local_global )
# the sub-parameters can then be set. Use the supplied value if not None, else the function, which gets the appropriate default
_invocation_parameters['asis'] = self.__asis( _invocation_parameters ) if asis is None else asis
_invocation_parameters['process_caldevice'] = self.__process_caldevice( _invocation_parameters ) if process_caldevice is None else process_caldevice
_invocation_parameters['overwrite'] = self.__overwrite( _invocation_parameters ) if overwrite is None else overwrite
_invocation_parameters['nocopy'] = self.__nocopy( _invocation_parameters ) if nocopy is None else nocopy
_invocation_parameters['bdfflags'] = self.__bdfflags( _invocation_parameters ) if bdfflags is None else bdfflags
_invocation_parameters['ocorr_mode'] = self.__ocorr_mode( _invocation_parameters ) if ocorr_mode is None else ocorr_mode
_invocation_parameters['dryrun'] = self.__dryrun( _invocation_parameters ) if dryrun is None else dryrun
_invocation_parameters['acceptresults'] = self.__acceptresults( _invocation_parameters ) if acceptresults is None else acceptresults
else:
# invoke with inp/go semantics
_invocation_parameters['vis'] = self.__vis( self.__globals_( ) )
_invocation_parameters['session'] = self.__session( self.__globals_( ) )
_invocation_parameters['pipelinemode'] = self.__pipelinemode( self.__globals_( ) )
_invocation_parameters['asis'] = self.__asis( self.__globals_( ) )
_invocation_parameters['process_caldevice'] = self.__process_caldevice( self.__globals_( ) )
_invocation_parameters['overwrite'] = self.__overwrite( self.__globals_( ) )
_invocation_parameters['nocopy'] = self.__nocopy( self.__globals_( ) )
_invocation_parameters['bdfflags'] = self.__bdfflags( self.__globals_( ) )
_invocation_parameters['asimaging'] = self.__asimaging( self.__globals_( ) )
_invocation_parameters['lazy'] = self.__lazy( self.__globals_( ) )
_invocation_parameters['dbservice'] = self.__dbservice( self.__globals_( ) )
_invocation_parameters['ocorr_mode'] = self.__ocorr_mode( self.__globals_( ) )
_invocation_parameters['createmms'] = self.__createmms( self.__globals_( ) )
_invocation_parameters['minparang'] = self.__minparang( self.__globals_( ) )
_invocation_parameters['dryrun'] = self.__dryrun( self.__globals_( ) )
_invocation_parameters['acceptresults'] = self.__acceptresults( self.__globals_( ) )
try:
with open(_prefile,'w') as _f:
for _i in _invocation_parameters:
_f.write("%-17s = %s\n" % (_i,noobj(repr(_invocation_parameters[_i]))))
_f.write("#hifa_importdata( ")
count = 0
for _i in _invocation_parameters:
_f.write("%s=%s" % (_i,noobj(repr(_invocation_parameters[_i]))))
count += 1
if count < len(_invocation_parameters): _f.write(",")
_f.write(" )\n")
except: pass
try:
_return_result_ = _hifa_importdata_t( _invocation_parameters['vis'],_invocation_parameters['session'],_invocation_parameters['pipelinemode'],_invocation_parameters['asis'],_invocation_parameters['process_caldevice'],_invocation_parameters['overwrite'],_invocation_parameters['nocopy'],_invocation_parameters['bdfflags'],_invocation_parameters['asimaging'],_invocation_parameters['lazy'],_invocation_parameters['dbservice'],_invocation_parameters['ocorr_mode'],_invocation_parameters['createmms'],_invocation_parameters['minparang'],_invocation_parameters['dryrun'],_invocation_parameters['acceptresults'] )
except Exception as e:
from traceback import format_exc
from casatasks import casalog
casalog.origin('hifa_importdata')
casalog.post("Exception Reported: Error in hifa_importdata: %s" % str(e),'SEVERE')
casalog.post(format_exc( ))
_return_result_ = False
try:
os.rename(_prefile,_postfile)
except: pass
return _return_result_
hifa_importdata = _hifa_importdata( )