applied oo

data-hub/semantic-linking-microservice/app/initialdemo/HyperGraph.py

 import json
 
+class HyperGraph:
 
-def do():
-    df_nodes = load_values()
+    cluster_labels = []
+    dest_cluster_labels = []
+    label_values = []
 
-    ret_val = init(df_nodes)
+    def __init__(self):
+        pass
+
+    def classify(self):
+        df_nodes = self.load_values()
+
+        ret_val = self.init(df_nodes)
         nodeIds = ret_val['nodeIds']
         clusterlabels = ret_val['clusterlabels']
         destIds = ret_val['destIds']
         
-    clusterlabels = classify_input(nodeIds, clusterlabels)
+        clusterlabels = self.classify_input(nodeIds, clusterlabels)
+
+        labelvals = self.calc_cluster_num(clusterlabels)
 
-    labelvals = calc_cluster_num(clusterlabels)
+        cluster = self.cluster_with_labels(nodeIds, clusterlabels, labelvals)
 
-    cluster = cluster_with_labels(nodeIds, clusterlabels, labelvals)
+        cluster = self.remove_duplicates(cluster)
 
-    cluster = remove_duplicates(cluster)
+        destclusterlabel = self.cluster_dest_ids(labelvals, cluster, destIds)
 
-    destclusterlabel = cluster_dest_ids(labelvals, cluster, destIds)
+        self.cluster_labels = clusterlabels
+        self.dest_cluster_labels = destclusterlabel
+        self.labelvals = labelvals
 
-def load_values():
+    def load_values(self):
         with open("mult_in_out_large.json", "r") as json_file:
             df_nodes = json.load(json_file)
 
         return df_nodes
 
-def init(df_nodes):
+    def init(self, df_nodes):
         nodeIds = []
         clusterlabels = []
         destIds = []
@@ -53,7 +65,7 @@ def init(df_nodes):
                 'clusterlabels': clusterlabels,
                 'destIds': destIds}
 
-def classify_input(nodeIds, clusterlabels):
+    def classify_input(self, nodeIds, clusterlabels):
         """" classifying Inputs"""
         """" Labaling inputs"""
         for row in range(len(nodeIds)):
@@ -81,7 +93,7 @@ def classify_input(nodeIds, clusterlabels):
         print("NodeIDs:   ", len(nodeIds))
         return clusterlabels
 
-def calc_cluster_num(clusterlabels):
+    def calc_cluster_num(self, clusterlabels):
         """" Calculating the number of clusters"""
         labelvals = []
 
@@ -99,7 +111,7 @@ def calc_cluster_num(clusterlabels):
 
         return labelvals
 
-def cluster_with_labels(nodeIds, clusterlabels, labelvals):
+    def cluster_with_labels(self, nodeIds, clusterlabels, labelvals):
         """" clustering Ids according to their labels"""
         cluster = []
 
@@ -112,7 +124,7 @@ def cluster_with_labels(nodeIds, clusterlabels, labelvals):
 
         return cluster
 
-def remove_duplicates(cluster):
+    def remove_duplicates(self, cluster):
         """ Removing duplicating items in cluster"""
 
         flag = True
@@ -137,7 +149,7 @@ def remove_duplicates(cluster):
         
         return cluster
 
-def cluster_dest_ids(labelvals, cluster, destIds):
+    def cluster_dest_ids(self, labelvals, cluster, destIds):
         """" Clustering  Destination Ids """
         destclusterlabel = []