identifyEC2.py

import boto3
from datetime import datetime, timedelta

def find_idle_instances(cpu_threshold=5.0, days=7):
    ec2 = boto3.client("ec2")
    cloudwatch = boto3.client("cloudwatch")
    idle_instances = []

    instances = ec2.describe_instances(
        Filters=[{"Name": "instance-state-name", "Values": ["running"]}]
    )

    for reservation in instances["Reservations"]:
        for instance in reservation["Instances"]:
            instance_id = instance["InstanceId"]

            metrics = cloudwatch.get_metric_statistics(
                Namespace="AWS/EC2",
                MetricName="CPUUtilization",
                Dimensions=[{"Name": "InstanceId", "Value": instance_id}],
                StartTime=datetime.utcnow() - timedelta(days=days),
                EndTime=datetime.utcnow(),
                Period=86400,
                Statistics=["Average"],
            )

            if not metrics["Datapoints"]:
                continue

            avg_cpu = sum(dp["Average"] for dp in metrics["Datapoints"]) / len(
                metrics["Datapoints"]
            )

            if avg_cpu < cpu_threshold:
                idle_instances.append((instance_id, round(avg_cpu, 2)))

    return idle_instances