I have the following datasets:
kpi = {
"latency": 3,
"cpu_utilisation": 0.98,
"memory_utilisation": 0.95,
"MIR": 200,
}
ns_metrics = {
"timestamp": "2022-10-04T15:24:10.765000",
"ns_id": "cache",
"ns_data": {
"cpu_utilisation": 0.012666666666700622,
"memory_utilisation": 8.68265852766783,
},
}
What I'm looking for is an elegant way to compare the cpu_utilisation and memory_utilisation values from each dictionary and if the two utilisation figures from ns_metrics is greater than kpi, for now, print a message as to which utilisation value was greater,i.e. was it either cpu or memory or both. Naturally, I can do something simple like this:
if ns_metrics["ns_data"]["cpu_utilisation"] > kpi["cpu_utilisation"]:
print("true: over cpu threshold")
if ns_metrics["ns_data"]["memory_utilisation"] > kpi["memory_utilisation"]:
print("true: over memory threshold")
But this seems a bit longer winded to have many if conditions, and I was hoping there is a more elegant way of doing it. Any help would be greatly appreciated.
CodePudding user response:
maybe you can use a loop to do this:
check_list = ["cpu_utilisation", "memory_utilisation"]
for i in check_list:
if ns_metrics["ns_data"][i] > kpi[i]:
print("true: over {} threshold".format(i.split('_')[0]))
if the key is different,you can use a mapping dict to do it,like this:
check_mapping = {"cpu_utilisation": "cpu_utilisation_1"}
for kpi_key, ns_key in check_mapping.items():
....