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from __future__ import absolute_import, division, print_function
import os
from stsci.tools import teal
from .. import __version__
from ..wcsutil import headerlet
__taskname__ = __name__.split('.')[-1] # needed for help string
__package__ = headerlet.__name__
# __version__ = stwcs.__version__
#
#### Interfaces used by TEAL
#
def getHelpAsString(docstring=False):
"""
Return useful help from a file in the script directory called __taskname__.help
"""
install_dir = os.path.dirname(__file__)
htmlfile = os.path.join(install_dir, 'htmlhelp', __taskname__ + '.html')
helpfile = os.path.join(install_dir, __taskname__ + '.help')
if docstring or (not docstring and not os.path.exists(htmlfile)):
helpString = __taskname__ + ' Version ' + __version__ + '\n\n'
if os.path.exists(helpfile):
helpString += teal.getHelpFileAsString(__taskname__, __file__)
else:
helpString += headerlet.archive_as_headerlet.__doc__
else:
helpString = 'file://' + htmlfile
return helpString
def run(configObj=None):
if configObj['hdrname'] in ['', ' ', 'INDEF']:
print('=' * 60)
print('ERROR:')
print(' No valid "hdrname" parameter value provided!')
print(' Please restart this task and provide a value for this parameter.')
print('=' * 60)
return
str_kw = ['wcsname', 'destim', 'sipname', 'npolfile', 'd2imfile',
'descrip', 'history', 'author']
# create dictionary of remaining parameters, deleting extraneous ones
# such as those above
cdict = configObj.dict()
# remove any rules defined for the TEAL interface
if "_RULES_" in cdict: del cdict['_RULES_']
del cdict['_task_name_']
del cdict['filename']
del cdict['hdrname']
# Convert blank string input as None
for kw in str_kw:
if cdict[kw] == '': cdict[kw] = None
if cdict['wcskey'].lower() == 'primary': cdict['wcskey'] = ' '
# Call function with properly interpreted input parameters
# Syntax: archive_as_headerlet(filename, sciext='SCI', wcsname=None, wcskey=None,
# hdrname=None, destim=None,
# sipname=None, npolfile=None, d2imfile=None,
# author=None, descrip=None, history=None,
# hdrlet=None, clobber=False)
headerlet.archive_as_headerlet(configObj['filename'], configObj['hdrname'],
**cdict)
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