Update clustering.py

clustering.py

@@ -615,6 +615,7 @@ def perform_clustering(
 
     if not threshold_values:
         threshold_values = np.round(np.linspace(min_eps, max_eps, n), 2)
+        print(threshold_values)
         # threshold_values = np.linspace(min_eps, max_eps, n)
 
     cluster_assignments = {}
@@ -624,7 +625,7 @@ def perform_clustering(
     most_similar_comments = {}
 
     for distance_threshold in threshold_values:
-        distance_threshold = round(distance_threshold, 6)
+        print(distance_threshold)
         clustering = AgglomerativeClustering(
             n_clusters=None,
             distance_threshold=distance_threshold,
@@ -694,6 +695,7 @@ def build_sankey_data(
     comments = []
 
     threshold_values = sorted(cluster_assignments.keys())
+    print("build_sankey_data", threshold_values)
     valid_clusters = {}
 
     for threshold in threshold_values: