I have below output after tabulating response from cloudwatch using get_metric_statistics. I would like to add validation that if any Sum is greater than 0 it will print a message saying there is an error. And if all Sum is equal to zero it will say no error.
> +| Timestamp | Sum | Unit | |
> 2021-01-12T09:31:00+00:00 | 0 | Count | |
> 2021-01-12T09:30:00+00:00 | 0 | Count | |
> 2021-01-12T09:33:00+00:00 | 0 | Count | |
> 2021-01-12T09:29:00+00:00 | 0 | Count | |
> 2021-01-12T09:32:00+00:00 | 0 | Count | |
> 2021-01-12T09:28:00+00:00 | 0 | Count |
> +---------------------------+-------+--------+
Below is my python script
import json
import boto3
import os
from datetime import datetime, timedelta
from tabulate import tabulate
client = boto3.client("lambda")
class DateTimeEncoder(json.JSONEncoder):
def default(self, o):
if isinstance(o, datetime):
return o.isoformat()
return json.JSONEncoder.default(self, o)
client = boto3.client("cloudwatch")
response = client.get_metric_statistics(
Namespace="AWS/Lambda",
MetricName="Errors",
Dimensions=[{"Name": "FunctionName", "Value": "XXX"}],
StartTime=datetime.utcnow() - timedelta(seconds=360),
EndTime=datetime.utcnow(),
Period=60,
Statistics=["Sum"],
)
message = json.dumps(response, cls=DateTimeEncoder)
message2 = json.loads(message)
message3 = message2["Datapoints"]
message4 = tabulate(message3, headers="keys", tablefmt="psql")
print(message4)
I know this seems easy but please help. Thanks!
add something like:
for message in message2:
if message["Sum"] > 0:
print("Some error occured")
else:
pass
so if you don't get a feedback, there's no error. In case some Sum
is greater 0, it'll tell you Some error