diff --git a/RCAEval/utility/__init__.py b/RCAEval/utility/__init__.py
new file mode 100644
index 0000000..d3a4ef2
--- /dev/null
+++ b/RCAEval/utility/__init__.py
@@ -0,0 +1,52 @@
+import json
+import sys
+
+import numpy as np
+import pandas as pd
+from sklearn.preprocessing import StandardScaler
+
+ENCODING = "utf-8"
+
+
+def is_py310():
+    return sys.version_info.major == 3 and sys.version_info.minor == 10
+
+
+def dump_json(filename: str, data):
+    """
+    Dump data into a json file
+    """
+    with open(filename, "w", encoding=ENCODING) as obj:
+        json.dump(data, obj, ensure_ascii=False, indent=2, sort_keys=True)
+
+
+def load_json(filename: str):
+    """
+    Load data from a json file
+    """
+    with open(filename, encoding=ENCODING) as obj:
+        return json.load(obj)
+
+
+def convert_adjacency_matrix(adj, node_names):
+    """
+    convert metrics adj to service adj
+    """
+    services = list(set([name.split("_")[0] for name in node_names]))
+    # print(services)
+    num_services = len(services)
+
+    service_adj = np.zeros((num_services, num_services))
+
+    for i in range(adj.shape[0]):
+        for j in range(adj.shape[0]):
+            if adj[i][j] == 1:
+                service_adj[services.index(node_names[i].split("_")[0])][
+                    services.index(node_names[j].split("_")[0])
+                ] = 1
+
+    # remove cycles
+    for i in range(num_services):
+        service_adj[i][i] = 0
+
+    return service_adj, services  # services is node_names but for services
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