Add value_normalizer.py

value_normalizer.py

@@ -0,0 +1,35 @@
+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:
+
+            value = data.get(key)
+
+            if isstring(value):
+                value = remove_data_unit(value)
+                if isinteger(value):
+                    data[key] = int(value)
+                    continue
+                if isfloat(value):
+                    data[key] = float(value)
+                    continue
+
+
+    return data
+
+
+def remove_data_unit(value: str):
+    return value.replace(" kB", "")