def _create_parameter(self): pdict = ParameterDictionary() pdict = self._add_location_time_ctxt(pdict) pres_ctxt = ParameterContext('pressure', param_type=QuantityType(value_encoding=numpy.float32)) pres_ctxt.uom = 'Pascal' pres_ctxt.fill_value = 0x0 pdict.add_context(pres_ctxt) temp_ctxt = ParameterContext('temp', param_type=QuantityType(value_encoding=numpy.float32)) temp_ctxt.uom = 'degree_Celsius' temp_ctxt.fill_value = 0e0 pdict.add_context(temp_ctxt) cond_ctxt = ParameterContext('conductivity', param_type=QuantityType(value_encoding=numpy.float32)) cond_ctxt.uom = 'unknown' cond_ctxt.fill_value = 0e0 pdict.add_context(cond_ctxt) raw_fixed_ctxt = ParameterContext('raw_fixed', param_type=QuantityType(value_encoding=numpy.float32)) raw_fixed_ctxt.uom = 'unknown' raw_fixed_ctxt.fill_value = 0e0 pdict.add_context(raw_fixed_ctxt) raw_blob_ctxt = ParameterContext('raw_blob', param_type=QuantityType(value_encoding=numpy.float32)) raw_blob_ctxt.uom = 'unknown' raw_blob_ctxt.fill_value = 0e0 pdict.add_context(raw_blob_ctxt) return pdict
def _create_param_contexts(self): context_ids = [] t_ctxt = ParameterContext( 'ingestion_timestamp', param_type=QuantityType(value_encoding=numpy.dtype('float64'))) t_ctxt.uom = 'seconds since 1900-01-01' t_ctxt.fill_value = -9999 t_ctxt_id = self.dataset_management_client.create_parameter_context( name='ingestion_timestamp', parameter_context=t_ctxt.dump()) context_ids.append(t_ctxt_id) raw_ctxt = ParameterContext('raw', param_type=ArrayType()) raw_ctxt.uom = '' context_ids.append( self.dataset_management_client.create_parameter_context( name='raw', parameter_context=raw_ctxt.dump())) return context_ids, t_ctxt_id
def _add_location_time_ctxt(self, pdict): t_ctxt = ParameterContext('time', param_type=QuantityType(value_encoding=numpy.int64)) t_ctxt.axis = AxisTypeEnum.TIME t_ctxt.uom = 'seconds since 1970-01-01' t_ctxt.fill_value = 0x0 pdict.add_context(t_ctxt) lat_ctxt = ParameterContext('lat', param_type=QuantityType(value_encoding=numpy.float32)) lat_ctxt.axis = AxisTypeEnum.LAT lat_ctxt.uom = 'degree_north' lat_ctxt.fill_value = 0e0 pdict.add_context(lat_ctxt) lon_ctxt = ParameterContext('lon', param_type=QuantityType(value_encoding=numpy.float32)) lon_ctxt.axis = AxisTypeEnum.LON lon_ctxt.uom = 'degree_east' lon_ctxt.fill_value = 0e0 pdict.add_context(lon_ctxt) return pdict
def get_coverage_parameter(cls, parameter_context): """ Creates a Coverage Model based Parameter Context given the ParameterContext IonObject. Note: If the parameter is a parameter function and depends on dynamically created calibrations, this will fail. """ # Only CF and netCDF compliant variable names parameter_context.name = re.sub(r'[^a-zA-Z0-9_]', '_', parameter_context.name) from ion.services.dm.utility.types import TypesManager # The TypesManager does all the parsing and converting to the coverage model instances tm = TypesManager(None, {}, {}) # First thing to do is create the parameter type param_type = tm.get_parameter_type( parameter_context.parameter_type, parameter_context.value_encoding, parameter_context.code_report, parameter_context.parameter_function_id, parameter_context.parameter_function_map, { 'name': parameter_context.name, 'target_dataset': parameter_context.target_dataset, 'target_name': parameter_context.target_name }) # Ugh, I hate it but I did copy this section from # ion/processes/bootstrap/ion_loader.py context = ParameterContext(name=parameter_context.name, param_type=param_type) # Now copy over all the attrs context.uom = parameter_context.units try: if isinstance(context.uom, basestring): tm.get_unit(context.uom) except UdunitsError: log.warning('Parameter %s has invalid units: %s', parameter_context.name, context.uom) # Fill values can be a bit tricky... context.fill_value = tm.get_fill_value( parameter_context.fill_value, parameter_context.value_encoding, param_type) context.reference_urls = parameter_context.reference_urls context.internal_name = parameter_context.name context.display_name = parameter_context.display_name context.standard_name = parameter_context.standard_name context.ooi_short_name = parameter_context.ooi_short_name context.description = parameter_context.description context.precision = parameter_context.precision context.visible = parameter_context.visible return context