feat(client-sagemaker-a2i-runtime): Fix bug with parsing ISO-8601 CreationTime in Java SDK in DescribeHumanLoop

awstools · awstools · commit d2380d70e1b2 · 2022-08-09T18:28:32.000Z
diff --git a/clients/client-sagemaker-a2i-runtime/src/protocols/Aws_restJson1.ts b/clients/client-sagemaker-a2i-runtime/src/protocols/Aws_restJson1.ts
@@ -3,12 +3,11 @@ import { HttpRequest as __HttpRequest, HttpResponse as __HttpResponse } from "@a
 import {
   decorateServiceException as __decorateServiceException,
   expectNonNull as __expectNonNull,
-  expectNumber as __expectNumber,
   expectObject as __expectObject,
   expectString as __expectString,
   extendedEncodeURIComponent as __extendedEncodeURIComponent,
   map as __map,
-  parseEpochTimestamp as __parseEpochTimestamp,
+  parseRfc3339DateTime as __parseRfc3339DateTime,
   resolvedPath as __resolvedPath,
   throwDefaultError,
 } from "@aws-sdk/smithy-client";
@@ -242,7 +241,7 @@ export const deserializeAws_restJson1DescribeHumanLoopCommand = async (
   });
   const data: Record<string, any> = __expectNonNull(__expectObject(await parseBody(output.body, context)), "body");
   if (data.CreationTime != null) {
-    contents.CreationTime = __expectNonNull(__parseEpochTimestamp(__expectNumber(data.CreationTime)));
+    contents.CreationTime = __expectNonNull(__parseRfc3339DateTime(data.CreationTime));
   }
   if (data.FailureCode != null) {
     contents.FailureCode = __expectString(data.FailureCode);
@@ -600,9 +599,7 @@ const deserializeAws_restJson1HumanLoopSummaries = (output: any, context: __Serd
 const deserializeAws_restJson1HumanLoopSummary = (output: any, context: __SerdeContext): HumanLoopSummary => {
   return {
     CreationTime:
-      output.CreationTime != null
-        ? __expectNonNull(__parseEpochTimestamp(__expectNumber(output.CreationTime)))
-        : undefined,
+      output.CreationTime != null ? __expectNonNull(__parseRfc3339DateTime(output.CreationTime)) : undefined,
     FailureReason: __expectString(output.FailureReason),
     FlowDefinitionArn: __expectString(output.FlowDefinitionArn),
     HumanLoopName: __expectString(output.HumanLoopName),
diff --git a/codegen/sdk-codegen/aws-models/sagemaker-a2i-runtime.json b/codegen/sdk-codegen/aws-models/sagemaker-a2i-runtime.json
@@ -31,6 +31,21 @@
   "shapes": {
     "com.amazonaws.sagemakera2iruntime#AmazonSageMakerA2IRuntime": {
       "type": "service",
+      "traits": {
+        "aws.api#service": {
+          "sdkId": "SageMaker A2I Runtime",
+          "arnNamespace": "sagemaker",
+          "cloudFormationName": "SageMakerA2IRuntime",
+          "cloudTrailEventSource": "sagemakera2iruntime.amazonaws.com",
+          "endpointPrefix": "a2i-runtime.sagemaker"
+        },
+        "aws.auth#sigv4": {
+          "name": "sagemaker"
+        },
+        "aws.protocols#restJson1": {},
+        "smithy.api#documentation": "<p>Amazon Augmented AI (Amazon A2I) adds the benefit of human judgment to any machine learning\n      application. When an AI application can't evaluate data with a high degree of confidence,\n      human reviewers can take over. This human review is called a human review workflow. To create\n      and start a human review workflow, you need three resources: a <i>worker task\n        template</i>, a <i>flow definition</i>, and a <i>human\n        loop</i>.</p>\n         <p>For information about these resources and prerequisites for using Amazon A2I, see <a href=\"https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-getting-started.html\">Get Started with\n        Amazon Augmented AI</a> in the Amazon SageMaker Developer Guide.</p>\n         <p>This API reference includes information about API actions and data types that you can use\n      to interact with Amazon A2I programmatically. Use this guide to:</p>\n         <ul>\n            <li>\n               <p>Start a human loop with the <code>StartHumanLoop</code> operation when using\n          Amazon A2I with a <i>custom task type</i>. To learn more about the\n          difference between custom and built-in task types, see <a href=\"https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-task-types-general.html\">Use Task Types </a>. To learn\n          how to start a human loop using this API, see <a href=\"https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-start-human-loop.html#a2i-instructions-starthumanloop\">Create and Start a Human Loop for a Custom Task Type </a> in the\n          Amazon SageMaker Developer Guide.</p>\n            </li>\n            <li>\n               <p>Manage your human loops. You can list all human loops that you have created, describe\n          individual human loops, and stop and delete human loops. To learn more, see <a href=\"https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-monitor-humanloop-results.html\">Monitor and Manage Your Human Loop </a> in the Amazon SageMaker Developer Guide.</p>\n            </li>\n         </ul>\n         <p>Amazon A2I integrates APIs from various AWS services to create and start human review\n      workflows for those services. To learn how Amazon A2I uses these APIs, see <a href=\"https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-api-references.html\">Use APIs in\n        Amazon A2I</a> in the Amazon SageMaker Developer Guide.</p>",
+        "smithy.api#title": "Amazon Augmented AI Runtime"
+      },
       "version": "2019-11-07",
       "operations": [
         {
@@ -48,22 +63,7 @@
         {
           "target": "com.amazonaws.sagemakera2iruntime#StopHumanLoop"
         }
-      ],
-      "traits": {
-        "aws.api#service": {
-          "sdkId": "SageMaker A2I Runtime",
-          "arnNamespace": "sagemaker",
-          "cloudFormationName": "SageMakerA2IRuntime",
-          "cloudTrailEventSource": "sagemakera2iruntime.amazonaws.com",
-          "endpointPrefix": "a2i-runtime.sagemaker"
-        },
-        "aws.auth#sigv4": {
-          "name": "sagemaker"
-        },
-        "aws.protocols#restJson1": {},
-        "smithy.api#documentation": "<p>Amazon Augmented AI (Amazon A2I) adds the benefit of human judgment to any machine learning\n      application. When an AI application can't evaluate data with a high degree of confidence,\n      human reviewers can take over. This human review is called a human review workflow. To create\n      and start a human review workflow, you need three resources: a <i>worker task\n        template</i>, a <i>flow definition</i>, and a <i>human\n        loop</i>.</p>\n         <p>For information about these resources and prerequisites for using Amazon A2I, see <a href=\"https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-getting-started.html\">Get Started with\n        Amazon Augmented AI</a> in the Amazon SageMaker Developer Guide.</p>\n         <p>This API reference includes information about API actions and data types that you can use\n      to interact with Amazon A2I programmatically. Use this guide to:</p>\n         <ul>\n            <li>\n               <p>Start a human loop with the <code>StartHumanLoop</code> operation when using\n          Amazon A2I with a <i>custom task type</i>. To learn more about the\n          difference between custom and built-in task types, see <a href=\"https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-task-types-general.html\">Use Task Types </a>. To learn\n          how to start a human loop using this API, see <a href=\"https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-start-human-loop.html#a2i-instructions-starthumanloop\">Create and Start a Human Loop for a Custom Task Type </a> in the\n          Amazon SageMaker Developer Guide.</p>\n            </li>\n            <li>\n               <p>Manage your human loops. You can list all human loops that you have created, describe\n          individual human loops, and stop and delete human loops. To learn more, see <a href=\"https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-monitor-humanloop-results.html\">Monitor and Manage Your Human Loop </a> in the Amazon SageMaker Developer Guide.</p>\n            </li>\n         </ul>\n         <p>Amazon A2I integrates APIs from various AWS services to create and start human review\n      workflows for those services. To learn how Amazon A2I uses these APIs, see <a href=\"https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-api-references.html\">Use APIs in\n        Amazon A2I</a> in the Amazon SageMaker Developer Guide.</p>",
-        "smithy.api#title": "Amazon Augmented AI Runtime"
-      }
+      ]
     },
     "com.amazonaws.sagemakera2iruntime#ConflictException": {
       "type": "structure",
@@ -271,7 +271,7 @@
           "min": 0,
           "max": 1024
         },
-        "smithy.api#pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:flow-definition/.*"
+        "smithy.api#pattern": "^arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:flow-definition/"
       }
     },
     "com.amazonaws.sagemakera2iruntime#HumanLoopArn": {
@@ -281,7 +281,7 @@
           "min": 0,
           "max": 1024
         },
-        "smithy.api#pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:human-loop/.*"
+        "smithy.api#pattern": "^arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:human-loop/"
       }
     },
     "com.amazonaws.sagemakera2iruntime#HumanLoopDataAttributes": {
@@ -464,6 +464,7 @@
         "smithy.api#paginated": {
           "inputToken": "NextToken",
           "outputToken": "NextToken",
+          "items": "HumanLoopSummaries",
           "pageSize": "MaxResults"
         }
       }
@@ -736,7 +737,10 @@
       }
     },
     "com.amazonaws.sagemakera2iruntime#Timestamp": {
-      "type": "timestamp"
+      "type": "timestamp",
+      "traits": {
+        "smithy.api#timestampFormat": "date-time"
+      }
     },
     "com.amazonaws.sagemakera2iruntime#ValidationException": {
       "type": "structure",
