com.amazonaws.services.computeoptimizer.model.transform.LambdaFunctionRecommendationJsonUnmarshaller Maven / Gradle / Ivy
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The AWS Java SDK for AWS Compute Optimizer module holds the client classes that are used for communicating with AWS Compute Optimizer Service
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/*
* Copyright 2019-2024 Amazon.com, Inc. or its affiliates. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with
* the License. A copy of the License is located at
*
* http://aws.amazon.com/apache2.0
*
* or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
* CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions
* and limitations under the License.
*/
package com.amazonaws.services.computeoptimizer.model.transform;
import java.math.*;
import javax.annotation.Generated;
import com.amazonaws.services.computeoptimizer.model.*;
import com.amazonaws.transform.SimpleTypeJsonUnmarshallers.*;
import com.amazonaws.transform.*;
import com.fasterxml.jackson.core.JsonToken;
import static com.fasterxml.jackson.core.JsonToken.*;
/**
* LambdaFunctionRecommendation JSON Unmarshaller
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class LambdaFunctionRecommendationJsonUnmarshaller implements Unmarshaller {
public LambdaFunctionRecommendation unmarshall(JsonUnmarshallerContext context) throws Exception {
LambdaFunctionRecommendation lambdaFunctionRecommendation = new LambdaFunctionRecommendation();
int originalDepth = context.getCurrentDepth();
String currentParentElement = context.getCurrentParentElement();
int targetDepth = originalDepth + 1;
JsonToken token = context.getCurrentToken();
if (token == null)
token = context.nextToken();
if (token == VALUE_NULL) {
return null;
}
while (true) {
if (token == null)
break;
if (token == FIELD_NAME || token == START_OBJECT) {
if (context.testExpression("functionArn", targetDepth)) {
context.nextToken();
lambdaFunctionRecommendation.setFunctionArn(context.getUnmarshaller(String.class).unmarshall(context));
}
if (context.testExpression("functionVersion", targetDepth)) {
context.nextToken();
lambdaFunctionRecommendation.setFunctionVersion(context.getUnmarshaller(String.class).unmarshall(context));
}
if (context.testExpression("accountId", targetDepth)) {
context.nextToken();
lambdaFunctionRecommendation.setAccountId(context.getUnmarshaller(String.class).unmarshall(context));
}
if (context.testExpression("currentMemorySize", targetDepth)) {
context.nextToken();
lambdaFunctionRecommendation.setCurrentMemorySize(context.getUnmarshaller(Integer.class).unmarshall(context));
}
if (context.testExpression("numberOfInvocations", targetDepth)) {
context.nextToken();
lambdaFunctionRecommendation.setNumberOfInvocations(context.getUnmarshaller(Long.class).unmarshall(context));
}
if (context.testExpression("utilizationMetrics", targetDepth)) {
context.nextToken();
lambdaFunctionRecommendation.setUtilizationMetrics(new ListUnmarshaller(
LambdaFunctionUtilizationMetricJsonUnmarshaller.getInstance())
.unmarshall(context));
}
if (context.testExpression("lookbackPeriodInDays", targetDepth)) {
context.nextToken();
lambdaFunctionRecommendation.setLookbackPeriodInDays(context.getUnmarshaller(Double.class).unmarshall(context));
}
if (context.testExpression("lastRefreshTimestamp", targetDepth)) {
context.nextToken();
lambdaFunctionRecommendation.setLastRefreshTimestamp(DateJsonUnmarshallerFactory.getInstance("unixTimestamp").unmarshall(context));
}
if (context.testExpression("finding", targetDepth)) {
context.nextToken();
lambdaFunctionRecommendation.setFinding(context.getUnmarshaller(String.class).unmarshall(context));
}
if (context.testExpression("findingReasonCodes", targetDepth)) {
context.nextToken();
lambdaFunctionRecommendation.setFindingReasonCodes(new ListUnmarshaller(context.getUnmarshaller(String.class))
.unmarshall(context));
}
if (context.testExpression("memorySizeRecommendationOptions", targetDepth)) {
context.nextToken();
lambdaFunctionRecommendation.setMemorySizeRecommendationOptions(new ListUnmarshaller(
LambdaFunctionMemoryRecommendationOptionJsonUnmarshaller.getInstance())
.unmarshall(context));
}
if (context.testExpression("currentPerformanceRisk", targetDepth)) {
context.nextToken();
lambdaFunctionRecommendation.setCurrentPerformanceRisk(context.getUnmarshaller(String.class).unmarshall(context));
}
if (context.testExpression("effectiveRecommendationPreferences", targetDepth)) {
context.nextToken();
lambdaFunctionRecommendation.setEffectiveRecommendationPreferences(LambdaEffectiveRecommendationPreferencesJsonUnmarshaller.getInstance()
.unmarshall(context));
}
if (context.testExpression("tags", targetDepth)) {
context.nextToken();
lambdaFunctionRecommendation.setTags(new ListUnmarshaller(TagJsonUnmarshaller.getInstance())
.unmarshall(context));
}
} else if (token == END_ARRAY || token == END_OBJECT) {
if (context.getLastParsedParentElement() == null || context.getLastParsedParentElement().equals(currentParentElement)) {
if (context.getCurrentDepth() <= originalDepth)
break;
}
}
token = context.nextToken();
}
return lambdaFunctionRecommendation;
}
private static LambdaFunctionRecommendationJsonUnmarshaller instance;
public static LambdaFunctionRecommendationJsonUnmarshaller getInstance() {
if (instance == null)
instance = new LambdaFunctionRecommendationJsonUnmarshaller();
return instance;
}
}
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