utility to dump details of all nodes in a cluster, into a csv file

1.architectures/5.sagemaker-hyperpod/tools/README.md

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+# SMHP Tools <!-- omit from toc -->
+
+The “tools” directory contains utility scripts for common tasks to help debug and troubleshoot issues.
+Here are the details of each script, along with its usage and the expected output.
+
+| Utility Script                                                 | Description                                                         | Usage                     | Output         |
+| -------------------------------------------------------------- | ------------------------------------------------------------------- | ------------------------- | ---------------------------------------------------------------------------------------- |
+| [`dump_cluster_nodes_info.py`](./dump_cluster_nodes_info.py)   | Utility to dump details of all nodes in a cluster, into a csv file  | `python dump_cluster_nodes_info.py –cluster-name <name-of-cluster-whose-node-details-are-needed>` | “nodes.csv” file in the current directory, containing details of all nodes in the cluster |
+

1.architectures/5.sagemaker-hyperpod/tools/dump_cluster_nodes_info.py

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+# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
+# SPDX-License-Identifier: MIT-0
+
+import argparse
+import csv
+
+import boto3
+
+
+def list_cluster_nodes_all(sagemaker_client, cluster_name):
+
+    nodes = []
+    next_token = None
+
+    while True:
+
+        params = {
+            "ClusterName" : cluster_name
+        }
+        if next_token:
+            params["NextToken"] = next_token
+
+        response = sagemaker_client.list_cluster_nodes(**params)
+
+        nodes += response["ClusterNodeSummaries"]
+
+        if "NextToken" in response and response["NextToken"]:
+            next_token = response["NextToken"]
+            continue
+
+        break
+
+    return nodes
+
+
+def dump_nodes(cluster_name):
+
+    sagemaker_client = boto3.client("sagemaker")
+
+    nodes = list_cluster_nodes_all( sagemaker_client, cluster_name )
+
+    with open("nodes.csv", "w") as fd:
+        csv_writer = csv.writer(fd)
+        csv_writer.writerow([ "instance-id", "ip-address", "status", "hostname", "instance-group", "launch-time" ])
+
+        for node in nodes:
+            # For each node, we need to call the 'describe_cluster_node' API
+            # Ref: https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/sagemaker/client/describe_cluster_node.html
+            instance_id = node['InstanceId']
+            node_details = sagemaker_client.describe_cluster_node(ClusterName=cluster_name, NodeId=instance_id)['NodeDetails']
+            # ...and write necessary data in the CSV...
+            csv_writer.writerow([node_details['InstanceId'],
+                                 node_details['PrivatePrimaryIp'],
+                                 node_details['InstanceStatus']['Status'],
+                                 node_details['PrivateDnsHostname'],
+                                 node_details['InstanceGroupName'],
+                                 node_details['LaunchTime']])
+
+    print(f"Details of all nodes in cluster '{cluster_name}' have been saved in nodes.csv")
+
+
+if __name__ == "__main__":
+
+    argparser = argparse.ArgumentParser(description="Dump all HyperPod cluster nodes and their details in a CSV")
+    argparser.add_argument("--cluster-name", action="store", required=True, help="Name of cluster to dump")
+    args = argparser.parse_args()
+
+    dump_nodes(args.cluster_name)
+