def recommend_data_object(self):
import gdpgutil as gd
hints = self.get("type_hints")
print "gd190: hints=", hints
if hints:
modandclass = gd.pick_config(hints, self._suggested_data_classes, "leaves")
return modandclass
else:
modandclass = gd.pick_config(self, self._suggested_data_classes, "leaves")
return modandclass
def get_calculator(dataset):
""" This function gets the Calculator instance appropriate for
the specified dataset.
Conflicts, arising from Calculators being associated with more than one
AstroData type classification, are resolved by traversing the type tree to
see if one type is a subtype of the other so the more specific type can be
used.
@param dataset: the dataset to load a calculator for
@type dataset: AstroData
@returns: the appropriate Calculator instance for this type of dataset
@rtype: Calculator
@note: OPEN ISSUE: how to deal with conflicts not resolved this way... i.e.
if there are two assignments related to types which do not appear
in the same type trees.
"""
#NOTE: Handle hdulist as well as AstroData instance as 'dataset'?
types = dataset.discover_types()
calcs = []
# use classification library from dataset's context
cl = dataset.get_classification_library()
calc = None
leaflist = []
from gdpgutil import pick_config
cfg = pick_config(dataset, centralCalculatorIndex, style="leaves")
foundtypes = cfg.keys()
# to the descriptor type.
# print "D661:",repr(foundtypes)
if (len(foundtypes) == 0):
#then none were found, use default calculator
return Calculator()
# first check loadedDescriptorIndex
else:
foundcalcs = []
for calctype in foundtypes:
#print "D669: checking", calctype
if loadedCalculatorIndex.has_key(calctype):
#print "D671: already loaded"
foundcalcs.append(loadedCalculatorIndex[calctype])
else:
#print "D674: loading", calctype
# if here we need to import and instantiate the basic
# calculator
# note: module name is first part of calc string
calcID = cfg[calctype]
modname = calcID.split(".")[0]
#print "D679:",modname, calcID
if calcID[-2:] == "()":
calcID = calcID[:-2]
# print "D682:",modname, calcID
exec "import " + modname
calcClass = eval(calcID)
# add this calculator to the loadedCalculatorIndex (aka
# "calculator cache")
loadedCalculatorIndex.update({calctype: calcClass})
foundcalcs.append(calcClass)
concreteCalcClass = type("CompositeCalcClass", tuple(foundcalcs), {})
#for calc in foundcalcs:
# concreteCalcClass.__bases__ += (calc.__class__, )
finalCalc = concreteCalcClass()
from debugmodes import get_descriptor_throw
# p rint "get_descriptor_throw", get_descriptor_throw()
finalCalc.throwExceptions = get_descriptor_throw()
return finalCalc
