def get_lookup_value(self, value):
return self._placeholder(
value, lambda placeholder: ParameterContext(
name=placeholder,
param_type=SparseConstantType(base_type=ConstantType(
value_encoding='float64'),
fill_value=-9999.)))
def make_cal_data_product(self):
# Get a precompiled parameter dictionary with basic ctd fields
pdict_id = self.dataset_management.read_parameter_dictionary_by_name(
'ctd_parsed_param_dict', id_only=True)
context_ids = self.dataset_management.read_parameter_contexts(
pdict_id, id_only=True)
# Add a handful of Calibration Coefficient parameters
for cc in ['cc_ta0', 'cc_ta1', 'cc_ta2', 'cc_ta3', 'cc_toffset']:
c = ParameterContext(cc,
param_type=SparseConstantType(
value_encoding='float32',
fill_value=-9999))
c.uom = '1'
context_ids.append(
self.dataset_management.create_parameter_context(cc, c.dump()))
pdict_id = self.dataset_management.create_parameter_dictionary(
'calcoeff_dict', context_ids, temporal_context='time')
data_product_id = self.create_data_product('calcoeff_dp',
pdict_id=pdict_id)
self.activate_data_product(data_product_id)
dataset_id, _ = self.resource_registry.find_objects(data_product_id,
PRED.hasDataset,
id_only=True)
return data_product_id, dataset_id[0]
def get_cc_value(self, value):
placeholder = value.lower()
# Check to see if this coefficient exists already
hits, _ = Container.instance.resource_registry.find_resources(
name=placeholder, restype=RT.ParameterContext, id_only=True)
if hits:
return hits[0], placeholder
pc = ParameterContext(
name=placeholder,
param_type=SparseConstantType(value_encoding='float64'),
fill_value=-9999.)
pc.uom = '1'
ctxt_id = self.dataset_management.create_parameter_context(
name=placeholder, parameter_context=pc.dump())
return ctxt_id, placeholder
def get_string_array_lookup_value(self, value):
return self._placeholder(
value, lambda placeholder: ParameterContext(
name=placeholder,
param_type=SparseConstantType(base_type=ArrayType())))
def get_sparse_type(self, parameter_type, encoding):
if encoding:
return SparseConstantType(value_encoding=encoding)
else:
return SparseConstantType()