Fixed CAD not generating CSV file

scalability_accuracy.csv

-F1_SCORE_MACRO F1_SCORE_WEIGHTED BALANCED_ACCURACY PRECISION_SCORE RECALL_SCORE OVERALL_ACCURACY CRYPTO_ACCURACY TOTAL_PREDICTIONS TOTAL_POSITIVES F_POSITIVES T_NEGATIVES F_NEGATIVES CONFIDENCE TIMESTAMP_START TIMESTAMP_FINISH SAMPLING_SNAPSHOTS SAMPLING_RATE SAMPLING_MODE TIME_TO_STABILIZE
\ No newline at end of file
+F1_SCORE_MACRO F1_SCORE_WEIGHTED BALANCED_ACCURACY PRECISION_SCORE RECALL_SCORE OVERALL_ACCURACY CRYPTO_ACCURACY TOTAL_PREDICTIONS TOTAL_POSITIVES F_POSITIVES T_NEGATIVES F_NEGATIVES CONFIDENCE TIMESTAMP_START TIMESTAMP_FINISH SAMPLING_SNAPSHOTS SAMPLING_RATE SAMPLING_MODE TIME_TO_STABILIZE
+1.0 1.0 1.0 1.0 1.0 1.0 0.0 2242.0 0.0 0.0 2242.0 0.0 1.0 09/05/2023-10:24:06 09/05/2023-10:26:06 100.0 0.800000011920929 Last 2.0
+1.0 1.0 1.0 1.0 1.0 1.0 0.0 2259.0 0.0 0.0 2259.0 0.0 1.0 09/05/2023-10:37:24 09/05/2023-10:39:24 100.0 0.800000011920929 Last 2.0
+0.9380793571472168 0.9988300800323486 0.8902438879013062 0.99944669008255 0.8902438879013062 0.9988977313041687 1.0 8166.0 32.0 0.0 8134.0 9.0 1.0 09/05/2023-10:56:39 09/05/2023-11:06:39 100.0 0.800000011920929 Random 10.0

src/l3_centralizedattackdetector/service/l3_centralizedattackdetectorServiceServicerImpl.py

@@ -724,8 +724,8 @@ class l3_centralizedattackdetectorServiceServicerImpl(L3Centralizedattackdetecto
         # Wait for the system to stabilize
         time.sleep(self.time_to_stabilize * 60)
         
-        np.save("y_true_max_conn_{}_time_to_stabilize_{}_exp2.npy".format(self.max_connection_time, self.time_to_stabilize), self.y_true)
-        np.save("y_pred_max_conn_{}_time_to_stabilize_{}_exp2.npy".format(self.max_connection_time, self.time_to_stabilize), self.y_pred)
+        np.save("y_true_snapshots_{}_rate_{}_mode_{}_time_to_stabilize_{}_exp3.npy".format(self.sampling_snapshots, self.sampling_rate, self.sampling_mode, self.time_to_stabilize), self.y_true)
+        np.save("y_pred_snapshots_{}_rate_{}_mode_{}_time_to_stabilize_{}_exp3.npy".format(self.sampling_snapshots, self.sampling_rate, self.sampling_mode, self.time_to_stabilize), self.y_pred)
         
         LOGGER.debug("Scalability csv started")
         with open("/var/teraflow/scalability_accuracy.csv", 'a', newline='') as f:
@@ -754,9 +754,9 @@ class l3_centralizedattackdetectorServiceServicerImpl(L3Centralizedattackdetecto
         self.sampling_snapshots = request.sampling_snapshots
         self.sampling_rate = request.sampling_rate
         
-        if request.sampling_mode == SamplingMode.RANDOM:
+        if request.sampling_mode == SamplingMode.RANDOM.value:
             self.sampling_mode = "Random"
-        elif request.sampling_mode == SamplingMode.FIRST:
+        elif request.sampling_mode == SamplingMode.FIRST.value:
             self.sampling_mode = "First"
         else:
             self.sampling_mode = "Last"