ikuyamada · October 6, 2019 09:24
diff --git a/ec2_spot_price_list.py b/ec2_spot_price_list.py
 #!/usr/bin/env python
 """
 ec2_spot_price_list.py - Display the price summary of AWS EC2's spot instances across all regions
 and availability zones.

 Basic usage:
 $ pip install numpy click boto3
 $ python ec2_spot_price_list.py --instance-type m5.xlarge --product-description "Linux/UNIX (Amazon VPC)"

 Copyright (C) 2019, Ikuya Yamada
 """

 import collections
 import boto3
 import click
 import numpy as np


 @click.command()
 @click.option('-t', '--instance-type', default=['m5.xlarge'], multiple=True)
 @click.option('-d', '--product-description', default=['Linux/UNIX (Amazon VPC)'], multiple=True)
 def main(instance_type, product_description):
    client = boto3.client('ec2', 'us-east-1')
    regions = [o['RegionName'] for o in client.describe_regions()['Regions']]
    price_data = collections.defaultdict(list)
    for region in regions:
        client = boto3.client('ec2', region)
        data = client.describe_spot_price_history(InstanceTypes=instance_type,
                                                  ProductDescriptions=product_description)
        for item in data['SpotPriceHistory']:
            key = (item['AvailabilityZone'], item['InstanceType'], item['ProductDescription'])
            price_data[key].append(float(item['SpotPrice']))

    for (zone, ins, desc), price_list in sorted(price_data.items(), key=lambda o: o[1][0]):
        print(f'Availability zone    {zone}')
        print(f'Instance type        {ins}')
        print(f'Current price        {price_list[0]:.2f}')
        print(f'Average price        {np.mean(price_list):.2f}')
        print(f'Max price            {max(price_list):.2f}')
        print('---')


 if __name__ == '__main__':
    main()
	#!/usr/bin/env python
	"""
	ec2_spot_price_list.py - Display the price summary of AWS EC2's spot instances across all regions
	and availability zones.

	Basic usage:
	$ pip install numpy click boto3
	$ python ec2_spot_price_list.py --instance-type m5.xlarge --product-description "Linux/UNIX (Amazon VPC)"

	Copyright (C) 2019, Ikuya Yamada
	"""

	import collections
	import boto3
	import click
	import numpy as np


	@click.command()
	@click.option('-t', '--instance-type', default=['m5.xlarge'], multiple=True)
	@click.option('-d', '--product-description', default=['Linux/UNIX (Amazon VPC)'], multiple=True)
	def main(instance_type, product_description):
	client = boto3.client('ec2', 'us-east-1')
	regions = [o['RegionName'] for o in client.describe_regions()['Regions']]
	price_data = collections.defaultdict(list)
	for region in regions:
	client = boto3.client('ec2', region)
	data = client.describe_spot_price_history(InstanceTypes=instance_type,
	ProductDescriptions=product_description)
	for item in data['SpotPriceHistory']:
	key = (item['AvailabilityZone'], item['InstanceType'], item['ProductDescription'])
	price_data[key].append(float(item['SpotPrice']))

	for (zone, ins, desc), price_list in sorted(price_data.items(), key=lambda o: o[1][0]):
	print(f'Availability zone {zone}')
	print(f'Instance type {ins}')
	print(f'Current price {price_list[0]:.2f}')
	print(f'Average price {np.mean(price_list):.2f}')
	print(f'Max price {max(price_list):.2f}')
	print('---')


	if __name__ == '__main__':
	main()