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A simple mock implementation of the AWS S3 API startable as Docker image or JUnit rule

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S3Mock

Introduction

S3Mock is a lightweight server that implements parts of the Amazon S3 API. It has been created to support hermetic testing and reduces the infrastructure dependencies while testing.

The mock server can be started as a Docker container, through the JUnit4 and JUnit5 support, or programmatically.

Similar projects are e.g.:

Usage

Using the Docker image

Starting on the command-line:

docker run -p 9090:9090 -p 9191:9191 -t adobe/s3mock

The port 9090 is for HTTP, port 9191 is for HTTPS.

Configuration

The mock can be configured with the following environment parameters:

  • validKmsKeys: list of KMS Key-Refs that are to be treated as valid.
  • initialBuckets: list of names for buckets that will be available initially.
  • root: the base directory to place the temporary files exposed by the mock.
Starting with the Docker Maven Plugin

Our integration tests are using the Amazon S3 Client to verify the server functionality against the S3Mock. During the Maven build, the Docker image is started using the docker-maven-plugin and the corresponding ports are passed to the JUnit test through the maven-failsafe-plugin. See AmazonClientUploadIT how it's used in the code.

This way, one can easily switch between calling the S3Mock or the real S3 endpoint and this doesn't add any additional Java dependencies to the project.

Using the JUnit4 Rule

The example S3MockRuleTest demonstrates the usage of the S3MockRule, which can be configured through a builder.

To use the JUnit4 Rule, use the following Maven artifact in test scope:

<dependency>
 <groupId>com.adobe.testing</groupId>
 <artifactId>s3mock-junit4</artifactId>
 <version>...</version>
 <scope>test</scope>
</dependency>

Using the JUnit5 Extension

The S3MockExtension can currently be used in two ways:

  1. Declaratively using @ExtendWith(S3MockExtension.class) and by injecting a properly configured instance of AmazonS3 client and/or the started S3MockApplication to the tests. Example: S3MockExtensionDeclarativeTest

  2. Programmatically using @RegisterExtension and by creating and configuring the S3MockExtension using a builder. Example: S3MockExtensionProgrammaticTest

To use the JUnit5 Extension, use the following Maven artifact in test scope:

<dependency>
  <groupId>com.adobe.testing</groupId>
  <artifactId>s3mock-junit5</artifactId>
  <version>...</version>
  <scope>test</scope>
</dependency>

Using the TestNG Listener

The example S3MockListenerXMLConfigurationTest demonstrates the usage of the S3MockListener, which can be configured as shown in testng.xml. The listener bootstraps S3Mock application before TestNG execution starts and shuts down the application just before the execution terminates. Please refer to IExecutionListener

To use the TestNG Listener, use the following Maven artifact in test scope:

<dependency>
 <groupId>com.adobe.testing</groupId>
 <artifactId>s3mock-testng</artifactId>
 <version>...</version>
 <scope>test</scope>
</dependency>

Starting Programmatically

Include the following dependency and use one of the start methods in com.adobe.testing.s3mock.S3MockApplication:

<dependency>
  <groupId>com.adobe.testing</groupId>
  <artifactId>s3mock</artifactId>
  <version>...</version>
</dependency>

Build & Run

To build this project, you need Docker, JDK 8 or higher, and Maven:

mvn clean install

You can run the S3Mock from the sources by either of the following methods:

  • Run or Debug the class com.adobe.testing.s3mock.S3MockApplication in the IDE
  • using Docker:
    • mvn clean package -pl server -am -DskipTests
    • docker run -p 9090:9090 -p 9191:9191 -t adobe/s3mock:latest
  • using the Docker Maven plugin:
    • mvn clean package docker:start -pl server -am -DskipTests -Ddocker.follow -Dit.s3mock.port_http=9090 -Dit.s3mock.port_https=9191 (stop with ctrl-c)

Once the application is started, you can execute the *IT tests from your IDE.

Contributing

Contributions are welcomed! Read the Contributing Guide for more information.

Licensing

This project is licensed under the Apache V2 License. See LICENSE for more information.

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A simple mock implementation of the AWS S3 API startable as Docker image or JUnit rule

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