原始 AWS 价目表 API (如新增 – AWS 价目表 API中所述) 使您可以通过结构化 URL 访问 JSON 和 CSV 形式的价格。虽然这对某些类型的成本管理工具很有效，但文件的大小和复杂性使得它们难以下载，而且难以解析。今天，我们将要通过添加新函数来更新 API，使您可以执行精细价格查询，从而仅返回您需要的价格。这将使您能够在移动应用程序和基于浏览器的应用程序中使用这些价格。
新增函数
下面是新增函数：
DescribeServices – 返回用于定义服务中的产品的属性键集合。例如，为 EC2 返回的键将包括 physicalProcessor、memory、operatingSystem、location 和 tenancy。
GetAttributeValues – 返回给定属性键的所有允许值。例如，operatingSystem 键的值包括 Windows、RHEL、Linux 和 SUSE；location 键的值包括 US East (N. Virginia) 和 Asia Pacific (Mumbai)。
GetProducts – 返回与基于服务名称和属性值的筛选条件表达式匹配的所有产品及其公开价格。
您可以从 AWS 开发工具包中访问这些函数。为了试用它们，我使用了 Python 和适用于 Python 的 AWS 开发工具包。我首先导入开发工具包并创建客户端：
import boto3
import json
import pprint
pricing = boto3.client('pricing')
下面是我如何列出所有服务和属性：
print("All Services")
print("============")
response = pricing.describe_services()
for service in response['Services']:
print(service['ServiceCode'] + ": " + ", ".join(service['AttributeNames']))
print()
输出的开头部分如下所示：
All Services
============
SnowballExtraDays: productFamily, termType, usagetype, locationType, snowballType, feeDescription, servicecode, feeCode, location, operation
OpsWorks: productFamily, servicecode, termType, usagetype, locationType, location, operation, serverLocation, group
mobileanalytics: productFamily, servicecode, includedEvents, termType, usagetype, description, locationType, location, operation
IngestionServiceSnowball: productFamily, fromLocationType, termType, usagetype, locationType, toLocationType, toLocation, snowballType, servicecode, groupDescription, transferType, location, fromLocation, operation, group
IngestionService: productFamily, termType, usagetype, locationType, servicecode, groupDescription, dataAction, location, operation, group
ElasticMapReduce: productFamily, softwareType, instanceType, termType, usagetype, locationType, instanceFamily, servicecode, location, servicename, operation
datapipeline: productFamily, frequencyMode, termType, usagetype, locationType, description, executionFrequency, servicecode, location, operation, group, executionLocation
...
下面是我如何获取所有 EC2 定价属性的所有值：
print("Selected EC2 Attributes & Values")
print("================================")
response = pricing.describe_services(ServiceCode='AmazonEC2')
attrs = response['Services'][0]['AttributeNames']
for attr in attrs:
response = pricing.get_attribute_values(ServiceCode='AmazonEC2', AttributeName=attr)
values = []
for attr_value in response['AttributeValues']:
values.append(attr_value['Value'])
print(" " + attr + ": " + ", ".join(values))
输出的开头部分如下所示：
Selected EC2 Attributes & Values
================================
volumeType: Throughput Optimized HDD, Provisioned IOPS, Magnetic, General Purpose, Cold HDD
maxIopsvolume: 500 - based on 1 MiB I/O size, 40 - 200, 250 - based on 1 MiB I/O size, 20000, 10000
instanceCapacity10xlarge: 1
locationType: AWS Region
instanceFamily: Storage optimized, Micro instances, Memory optimized, GPU instance, General purpose, Compute optimized
operatingSystem: Windows, SUSE, RHEL, NA, Linux
...
下面是我如何使用服务名称和属性值来获取在亚太 (孟买) 区域具有 64 vCPU、256 GiB 内存、预装 SQL Server Enterprise 的 EC2 实例的价格列表。每个价格都是一个 JSON 字符串：
print("Selected EC2 Products")
print("=====================")
response = pricing.get_products(
ServiceCode='AmazonEC2',
Filters = [
{'Type' :'TERM_MATCH', 'Field':'operatingSystem', 'Value':'Windows' },
{'Type' :'TERM_MATCH', 'Field':'vcpu', 'Value':'64' },
{'Type' :'TERM_MATCH', 'Field':'memory', 'Value':'256 GiB' },
{'Type' :'TERM_MATCH', 'Field':'preInstalledSw', 'Value':'SQL Ent' },
{'Type' :'TERM_MATCH', 'Field':'location', 'Value':'Asia Pacific (Mumbai)'}
],
MaxResults=100
)
for price in response['PriceList']:
pp = pprint.PrettyPrinter(indent=1. width=300)
pp.pprint(json.loads(price))
print()
输出的开头部分如下所示 (还有很多)：
Selected EC2 Products
=====================
{'product': {'attributes': {'clockSpeed': '2.3 GHz',
'currentGeneration': 'Yes',
'dedicatedEbsThroughput': '10000 Mbps',
'ecu': '188',
'enhancedNetworkingSupported': 'Yes',
'instanceFamily': 'General purpose',
'instanceType': 'm4.16xlarge',
'licenseModel': 'No License required',
'location': 'Asia Pacific (Mumbai)',
'locationType': 'AWS Region',
'memory': '256 GiB',
'networkPerformance': '20 Gigabit',
'normalizationSizeFactor': '128',
'operatingSystem': 'Windows',
'operation': 'RunInstances:0102',
'physicalProcessor': 'Intel Xeon E5-2686 v4 (Broadwell)',
'preInstalledSw': 'SQL Ent',
'processorArchitecture': '64-bit',
'processorFeatures': 'Intel AVX, Intel AVX2, Intel Turbo',
'servicecode': 'AmazonEC2',
'servicename': 'Amazon Elastic Compute Cloud',
'storage': 'EBS only',
'tenancy': 'Shared',
'usagetype': 'APS3-BoxUsage:m4.16xlarge',
'vcpu': '64'},
'productFamily': 'Compute Instance',
'sku': '24GRA8RB2KZ9NPCS'},
'publicationDate': '2017-10-07T00:26:55Z',
'serviceCode': 'AmazonEC2',
...
响应的下一部分包含一组条款，每个条款都描述了购买实例的特定方式 (按需或多种类型的预留实例)：
'terms': {'OnDemand': {'24GRA8RB2KZ9NPCS.JRTCKXETXF': {'effectiveDate': '2017-09-01T00:00:00Z',
'offerTermCode': 'JRTCKXETXF',
'priceDimensions': {'24GRA8RB2KZ9NPCS.JRTCKXETXF.6YS6EN2CT7': {'appliesTo': [],
'beginRange': '0',
'description': '$30.88 per On Demand Windows with SQL Server Enterprise m4.16xlarge Instance Hour',
'endRange': 'Inf',
'pricePerUnit': {'USD': '30.8800000000'},
'rateCode': '24GRA8RB2KZ9NPCS.JRTCKXETXF.6YS6EN2CT7',
'unit': 'Hrs'}},
'sku': '24GRA8RB2KZ9NPCS',
'termAttributes': {}}},
'Reserved': {'24GRA8RB2KZ9NPCS.38NPMPTW36': {'effectiveDate': '2017-04-30T23:59:59Z',
'offerTermCode': '38NPMPTW36',
'priceDimensions': {'24GRA8RB2KZ9NPCS.38NPMPTW36.2TG2D8R56U': {'appliesTo': [], 'description': 'Upfront Fee', 'pricePerUnit': {'USD': '374227'}, 'rateCode': '24GRA8RB2KZ9NPCS.38NPMPTW36.2TG2D8R56U', 'unit': 'Quantity'},
'24GRA8RB2KZ9NPCS.38NPMPTW36.6YS6EN2CT7': {'appliesTo': [],
'beginRange': '0',
'description': 'Windows with SQL Server Enterprise (Amazon VPC), m4.16xlarge reserved instance applied',
'endRange': 'Inf',
'pricePerUnit': {'USD': '14.2400000000'},
'rateCode': '24GRA8RB2KZ9NPCS.38NPMPTW36.6YS6EN2CT7',
'unit': 'Hrs'}},
'sku': '24GRA8RB2KZ9NPCS',
'termAttributes': {'LeaseContractLength': '3yr', 'OfferingClass': 'standard', 'PurchaseOption': 'Partial Upfront'}},
...
阅读使用 AWS 价目表 API 以了解有关这些函数及其返回数据的更多信息。
现在提供
新增函数现已推出，您可以开始在美国东部 (弗吉尼亚北部)和亚太 (孟买) 区域使用它们来访问所有公有 AWS 区域和 AWS GovCloud (美国) 的元数据和价格列表，它们是免费的。
要查看如何使用这些函数的真实示例，请在 AWS 管理工具博客上查看新博客文章通过月度预算策略来控制预计用户成本。
— Jeff；