def cross_strap_header(header):
"""Set up keyword equivalencies in a copy of `header`. Ensure both FITS
and datamodel dotted path variants are defined for each keyword.
Also add variations defined by observatory locator module
CROSS_STRAPPED_KEYWORDS.
"""
crossed = dict(header)
try:
locator = utils.header_to_locator(header)
except Exception:
log.verbose_warning(
"Cannot identify observatory from header. Skipping keyword aliasing")
return crossed
equivalency_pairs = locator.get_cross_strapped_pairs(header)
for pair in equivalency_pairs:
_cross_strap_pair(crossed, pair)
return crossed
def header_to_pipelines(header, context=None):
"""Based on `header` and `context` provide the project specific list of calibration
code pipelines (.cfg files) used to process a dataset with `header`.
"""
locator = utils.header_to_locator(header)
return locator.header_to_pipelines(header, context)
def header_to_pipelines(header, context=None):
"""Based on `header` and `context` provide the project specific list of calibration
code pipelines (.cfg files) used to process a dataset with `header`.
"""
locator = utils.header_to_locator(header)
return locator.header_to_pipelines(header, context)