Files
keenetic-grafana-monitoring/value_normalizer.py
2020-07-29 19:52:40 +03:00

51 lines
1.1 KiB
Python

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)
type_mapping = {
"yes" : 1,
"no" : 0,
"up" : 1,
"down" : 0,
True: 1,
False: 0,
"MOUNTED" : 1,
"UNMOUNTED" : 0
}
def normalize_value(value):
if value is None:
return None
value = type_mapping.get(value) if type_mapping.get(value) is not None else value
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
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):
return value.replace(" kB", "")