Migrate to json path

value_normalizer.py

@@ -2,33 +2,32 @@ import re
 
 
 def isstring(value): return isinstance(value, str)
-
-
 def isfloat(value: str): return (re.match(r'^-?\d+(?:\.\d+)?$', value) is not None)
-
-
 def isinteger(value: str): return (re.match('^\d+$', value) is not None)
-
-
 def isvalidmetric(value) : return isinstance(value, int) or isinstance(value, float) or isinstance(value, bool)
 
-def normalize_data(data):
-    if isinstance(data, dict):
-        for key in data:
+def normalize_value(value):
 
-            value = data.get(key)
+    if value is None:
+        return None
 
-            if isstring(value):
-                value = remove_data_unit(value)
-                if isinteger(value):
-                    data[key] = int(value)
-                    continue
-                if isfloat(value):
-                    data[key] = float(value)
-                    continue
+    if isstring(value):
+        value = parse_string(value)
+
+    if isvalidmetric(value):
+        return value
+    else:
+        print("WARN Value: " + str(value) + " is not valid metric type")
+        return None
 
 
-    return data
+def parse_string(value):
+    value = remove_data_unit(value)
+    if isinteger(value):
+        value = int(value)
+    elif isfloat(value):
+        value = float(value)
+    return value
 
 
 def remove_data_unit(value: str):