APIGEE – How To Handle Base64 Encoding Decoding?

Posted on November 16, 2018 by Siva Prasad Rao Janapati — Leave a comment

In this article, we will see how to encode and decode base64 strings while building APIGEE proxies. As part of APIGEE, we have BasicAuthentication policy which deals with base64 encoded authorization header. But if we want to deal with any base64 encoded string other than Authorization header we should go with JavaScript policy or JavaCallout policy or PythonScript policy custom implementation. In this article, I will show you how to achieve base64 encode and decode using JavaScript policy.

Let me create a simple proxy with JavaScript policy to decode base64 encoded string. Below is the JavaScript policy configuration.

	<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
	<Javascript async="false" continueOnError="false" enabled="true" timeLimit="200" name="JS-Base64EncodeDecode">
	<DisplayName>JS-Base64EncodeDecode</DisplayName>
	<IncludeURL>jsc://Base64EncodeDecode.js</IncludeURL>
	<ResourceURL>jsc://DecodeBase64String.js</ResourceURL>
	</Javascript>

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JS Base64 Encode Decode Policy

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In the JavaScript policy, I have included the Base64EncodeDecode js file which performs the encode and decode. Below is the JavaScript to decode base64 encoded string.

	var base64EncodedKey = context.getVariable("request.queryparam.key");
	var key = Base64.decode(base64EncodedKey);
	print(key);

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DecodeBase64Encoded String

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The JavaScript which does base 64 encode and decode is available here.

The sample proxy created to demonstrate base64 encode and decode is available on GitHub. Download the sample proxy bundle and import to APIGEE Edge to play with it.

In next article we will discuss another use case. Till then Happy Coding!!!

About Siva Prasad Rao Janapati

Siva Janapati is an Architect with experience in building Cloud Native Microservices architectures, Reactive Systems, Large scale distributed systems, and Serverless Systems. Siva has hands-on in architecture, design, and implementation of scalable systems using Cloud, Java, Go lang, Apache Kafka, Apache Solr, Spring, Spring Boot, Lightbend reactive tech stack, APIGEE edge & on-premise and other open-source, proprietary technologies. Expertise working with and building RESTful, GraphQL APIs. He has successfully delivered multiple applications in retail, telco, and financial services domains. He manages the GitHub(https://github.com/2013techsmarts) where he put the source code of his work related to his blog posts.