#Store the OBJECTID field for facilities as it will used later when exporting output facilities
orig_input_facilities_oid = facilities_obj.origOIDFieldName
#Store all the fields names from input facilities to be used later when exporting output facilities
orig_input_facilities_fld_names = facilities_obj.fieldNames
incidents_obj = nau.InputFeatureClass(incidents)
point_barriers_obj = nau.InputFeatureClass(point_barriers)
line_barriers_obj = nau.InputFeatureClass(line_barriers)
polygon_barriers_obj = nau.InputFeatureClass(polygon_barriers)
attribute_parameters_obj = nau.InputTable(attribute_parameters)
#Keep a list of input copies so we can delete them just before exit
input_copies = (facilities_obj, incidents_obj, point_barriers_obj,
line_barriers_obj, polygon_barriers_obj,
attribute_parameters_obj)
#If the network dataset does not support hierarchy, set the useHierarchy parameter to false.
nds_has_hierarchy = nau.nds_supports_hierarchy(desc_nds_attributes)
if not nds_has_hierarchy:
use_hierarchy = False
#determine whether we should use time based or distance based impedance attribute based on measurement method
impedance_attribute = time_attribute if measurement_method == "TRAVEL_TIME" else distance_attribute
impedance_units = nau.verify_impedance_units(time_attribute,
time_attribute_units,
distance_attribute,
distance_attribute_units,
desc_nds_attributes,
False)[impedance_attribute]
#If the Cutoff is specified, convert the cutoff value from user specified unit to impedance unit
if default_cutoff:
converted_cutoff = nau.convert_units(default_cutoff, measurement_units,
pointBarriers = point_barriers_obj.catalogPath
if line_barriers_obj.count:
line_barriers_obj.copyFeatures(out_workspace, LINE_BARRIER_FIELDS)
lineBarriers = line_barriers_obj.catalogPath
if polygon_barriers_obj.count:
polygon_barriers_obj.copyFeatures(out_workspace, POLYGON_BARRIER_FIELDS)
polygonBarriers = polygon_barriers_obj.catalogPath
if attribute_parameters_obj.count:
attribute_parameters_obj.copyFeatures(out_workspace, ATTRIBUTE_PARAMETER_FIELDS)
attributeParameters = attribute_parameters_obj.catalogPath
#If the network dataset does not support hierarchy, set the useHierarchy parameter to false.
ndsSupportsHierarchy = nau.nds_supports_hierarchy(descNDSAttributes)
if not ndsSupportsHierarchy:
useHierarchy = False
isTrimDistanceZero = False
if not polygonTrimDistance or polygonTrimDistance.split(" ")[0] == '0':
isTrimDistanceZero = True
#determine whether we should use time based or distance based impedance attribute based on break units
#using python ternary operator here.
impedanceAttribute = timeImpedance if breakUnits.lower() in TIME_UNITS else distanceImpedance
#get the user supplied break values as list for easy processing
breakValueList = [val.encode("utf-8") for val in breakValues.strip().split()]
breakValueCount = len(breakValueList)
if breakValueCount == 0:
arcpy.AddIDMessage("ERROR",30117)
raise nau.InputError()
#Find the largest break value.
point_barriers_obj = nau.InputFeatureClass(point_barriers)
line_barriers_obj = nau.InputFeatureClass(line_barriers)
polygon_barriers_obj = nau.InputFeatureClass(polygon_barriers)
attribute_parameters_obj = nau.InputTable(attribute_parameters)
# Keep a list of input copies so we can delete them just before exit
input_copies = (
facilities_obj,
incidents_obj,
point_barriers_obj,
line_barriers_obj,
polygon_barriers_obj,
attribute_parameters_obj,
)
# If the network dataset does not support hierarchy, set the useHierarchy parameter to false.
nds_has_hierarchy = nau.nds_supports_hierarchy(desc_nds_attributes)
if not nds_has_hierarchy:
use_hierarchy = False
# determine whether we should use time based or distance based impedance attribute based on measurement method
impedance_attribute = time_attribute if measurement_method == "TRAVEL_TIME" else distance_attribute
impedance_units = nau.verify_impedance_units(
time_attribute, time_attribute_units, distance_attribute, distance_attribute_units, desc_nds_attributes, False
)[impedance_attribute]
# If the Cutoff is specified, convert the cutoff value from user specified unit to impedance unit
if default_cutoff:
converted_cutoff = nau.convert_units(default_cutoff, measurement_units, impedance_units)
else:
converted_cutoff = default_cutoff
if line_barriers_obj.count:
line_barriers_obj.copyFeatures(out_workspace, LINE_BARRIER_FIELDS)
lineBarriers = line_barriers_obj.catalogPath
if polygon_barriers_obj.count:
polygon_barriers_obj.copyFeatures(out_workspace,
POLYGON_BARRIER_FIELDS)
polygonBarriers = polygon_barriers_obj.catalogPath
if attribute_parameters_obj.count:
attribute_parameters_obj.copyFeatures(out_workspace,
ATTRIBUTE_PARAMETER_FIELDS)
attributeParameters = attribute_parameters_obj.catalogPath
#If the network dataset does not support hierarchy, set the useHierarchy parameter to false.
ndsSupportsHierarchy = nau.nds_supports_hierarchy(descNDSAttributes)
if not ndsSupportsHierarchy:
useHierarchy = False
isTrimDistanceZero = False
if not polygonTrimDistance or polygonTrimDistance.split(" ")[0] == '0':
isTrimDistanceZero = True
#determine whether we should use time based or distance based impedance attribute based on break units
#using python ternary operator here.
impedanceAttribute = timeImpedance if breakUnits.lower(
) in TIME_UNITS else distanceImpedance
#get the user supplied break values as list for easy processing
breakValueList = [
val.encode("utf-8") for val in breakValues.strip().split()
]
breakValueCount = len(breakValueList)
if breakValueCount == 0: