Loading src/l3_centralizedattackdetector/service/l3_centralizedattackdetectorServiceServicerImpl.py +13 −21 Original line number Original line Diff line number Diff line Loading @@ -22,7 +22,7 @@ import onnxruntime as rt import logging import logging import time import time from common.proto.l3_centralizedattackdetector_pb2 import Empty from common.proto.l3_centralizedattackdetector_pb2 import Empty, AutoFeatures from common.proto.l3_centralizedattackdetector_pb2_grpc import L3CentralizedattackdetectorServicer from common.proto.l3_centralizedattackdetector_pb2_grpc import L3CentralizedattackdetectorServicer from common.proto.l3_attackmitigator_pb2 import L3AttackmitigatorOutput from common.proto.l3_attackmitigator_pb2 import L3AttackmitigatorOutput Loading Loading @@ -59,11 +59,10 @@ class l3_centralizedattackdetectorServiceServicerImpl(L3Centralizedattackdetecto self.inference_results = [] self.inference_results = [] self.model = rt.InferenceSession(MODEL_FILE) self.model = rt.InferenceSession(MODEL_FILE) # Load features metadata from onnx file self.meta = list(self.model.get_modelmeta().custom_metadata_map.values()) self.meta = list(self.model.get_modelmeta().custom_metadata_map.values()) self.meta = [int(x) for x in self.meta] self.meta = [float(x) for x in self.meta] self.meta.sort() self.meta.sort() LOGGER.debug(self.meta) LOGGER.debug("Prueba onnx") self.input_name = self.model.get_inputs()[0].name self.input_name = self.model.get_inputs()[0].name self.label_name = self.model.get_outputs()[0].name self.label_name = self.model.get_outputs()[0].name Loading Loading @@ -455,23 +454,6 @@ class l3_centralizedattackdetectorServiceServicerImpl(L3Centralizedattackdetecto """ """ def make_inference(self, request): def make_inference(self, request): '''x_data = np.array( [ [ request.c_pkts_all, request.c_ack_cnt, request.c_bytes_uniq, request.c_pkts_data, request.c_bytes_all, request.s_pkts_all, request.s_ack_cnt, request.s_bytes_uniq, request.s_pkts_data, request.s_bytes_all, ] ] )''' x_data = np.array( x_data = np.array( [ [ [feature.feature for feature in request.features] [feature.feature for feature in request.features] Loading Loading @@ -643,3 +625,13 @@ class l3_centralizedattackdetectorServiceServicerImpl(L3Centralizedattackdetecto logging.info("No attack detected") logging.info("No attack detected") return Empty(message="Ok, information received (no attack detected)") return Empty(message="Ok, information received (no attack detected)") """ Send features allocated in the metadata of the onnx file to the DAD -output: ONNX metadata as a list of integers """ def SendFeatures(self, request : Empty, context): features = AutoFeatures() for feature in self.meta: features.autoFeatures.append(feature) return features No newline at end of file Loading
src/l3_centralizedattackdetector/service/l3_centralizedattackdetectorServiceServicerImpl.py +13 −21 Original line number Original line Diff line number Diff line Loading @@ -22,7 +22,7 @@ import onnxruntime as rt import logging import logging import time import time from common.proto.l3_centralizedattackdetector_pb2 import Empty from common.proto.l3_centralizedattackdetector_pb2 import Empty, AutoFeatures from common.proto.l3_centralizedattackdetector_pb2_grpc import L3CentralizedattackdetectorServicer from common.proto.l3_centralizedattackdetector_pb2_grpc import L3CentralizedattackdetectorServicer from common.proto.l3_attackmitigator_pb2 import L3AttackmitigatorOutput from common.proto.l3_attackmitigator_pb2 import L3AttackmitigatorOutput Loading Loading @@ -59,11 +59,10 @@ class l3_centralizedattackdetectorServiceServicerImpl(L3Centralizedattackdetecto self.inference_results = [] self.inference_results = [] self.model = rt.InferenceSession(MODEL_FILE) self.model = rt.InferenceSession(MODEL_FILE) # Load features metadata from onnx file self.meta = list(self.model.get_modelmeta().custom_metadata_map.values()) self.meta = list(self.model.get_modelmeta().custom_metadata_map.values()) self.meta = [int(x) for x in self.meta] self.meta = [float(x) for x in self.meta] self.meta.sort() self.meta.sort() LOGGER.debug(self.meta) LOGGER.debug("Prueba onnx") self.input_name = self.model.get_inputs()[0].name self.input_name = self.model.get_inputs()[0].name self.label_name = self.model.get_outputs()[0].name self.label_name = self.model.get_outputs()[0].name Loading Loading @@ -455,23 +454,6 @@ class l3_centralizedattackdetectorServiceServicerImpl(L3Centralizedattackdetecto """ """ def make_inference(self, request): def make_inference(self, request): '''x_data = np.array( [ [ request.c_pkts_all, request.c_ack_cnt, request.c_bytes_uniq, request.c_pkts_data, request.c_bytes_all, request.s_pkts_all, request.s_ack_cnt, request.s_bytes_uniq, request.s_pkts_data, request.s_bytes_all, ] ] )''' x_data = np.array( x_data = np.array( [ [ [feature.feature for feature in request.features] [feature.feature for feature in request.features] Loading Loading @@ -643,3 +625,13 @@ class l3_centralizedattackdetectorServiceServicerImpl(L3Centralizedattackdetecto logging.info("No attack detected") logging.info("No attack detected") return Empty(message="Ok, information received (no attack detected)") return Empty(message="Ok, information received (no attack detected)") """ Send features allocated in the metadata of the onnx file to the DAD -output: ONNX metadata as a list of integers """ def SendFeatures(self, request : Empty, context): features = AutoFeatures() for feature in self.meta: features.autoFeatures.append(feature) return features No newline at end of file