This project uses MicroProfile, an open forum to optimize Enterprise Java for a microservices architecture, and Payara Micro 5. It was generated with MicroProfile Starter. It provides a complete RESTful API configured, including build, test, and deploy scripts as examples. It is recommended to have, at least, Java 11, Node.js, Docker and Ansible installed.
- Project structure
- Available gradle tasks
- Running in development mode
- Linting and formatting code
- Running unit tests
- Running integration tests
- Debugging
- Commit messages convention
- Building and deploying
- Reference documentation
When working in a large team with many developers that are responsible for the same codebase, having a common understanding of how the application should be structured is vital. Based on best practices from the community, other github projects and developer experience, your project should look like this:
├── ci
| ├── build
| └── deploy
├── gradle
├── src
| ├── integrationTest
| ├── main
| | ├── docker
| | ├── java
| | | └── app
| | | ├── AppResource.java
| | | ├── AppService.java
| | | └── JAXRSApplication.java
| | ├── resources
| | | └── microprofile-config.properties
| | └── webapp
| └── test
├── .dockerignore
├── .editorconfig
├── .gitignore
├── .prettierrc
├── build.gradle
├── CHANGELOG.md
├── changelog.mustache
├── checkstyle.xml
├── gradlew
├── gradlew.bat
├── LICENSE
├── README.md
└── settings.gradle
All of the app's code goes in a folder named src/main
.
The unit tests and integration tests are in the src/test
and src/integrationTest
folders.
Static files are placed in src/main/resources
folder.
The tasks in build.gradle file were built with simplicity in mind to automate as much repetitive tasks as possible and help developers focus on what really matters.
The next tasks should be executed in a console inside the root directory:
./gradlew tasks
- Displays the tasks runnable from root project 'app'../gradlew microStart
- Starts Payara Micro with the specified configuration../gradlew check
- Runs all checks../gradlew test
- Runs the unit tests../gradlew integrationTest
- Run the integration tests../gradlew lint
- Runs several static code analysis../gradlew format
- Applies code formatting steps to source code in-place../gradlew clean
- Deletes the build directory../gradlew javadoc
- Generates Javadoc API documentation for the main source code../gradlew generateOpenApi
- Generates the OpenAPI specification file../gradlew generateChangelog
- Generates a changelog from GIT repository../gradlew dependencyUpdates
- Displays the dependency updates for the project../gradlew war
- Generates a war archive with all the web-app../gradlew build
- Assembles and tests this project../gradlew buildImage
- Builds a Docker image of the application../gradlew release
- Performs release, creates tag and pushes it to remote../gradlew deploy
- Deploys the application to Docker Swarm../gradlew help
- Displays a help message.
For more details, read the Command-Line Interface documentation in the Gradle User Manual.
You can run your application in dev mode that enables live coding using ./gradlew war microStart
command.
Alternatively, you can run the application on your local Payara Server instance.
First, you need to build the project with ./gradlew clean war
command.
After, you can deploy the microprofile-api.war on Payara Server.
This application includes Swagger. It is available at http://localhost:8080/microprofile-api/openapi-ui/.
The OpenAPI Specification is automatically generated. Use ./gradlew generateOpenApi
to generate the openapi.yaml file.
A linter is a static code analysis tool used to flag programming errors, bugs, stylistic errors and suspicious constructs.
It includes Prettier, Checkstyle, PMD and SpotBugs:
- Prettier enforces a consistent style by parsing your code and re-printing it with its own rules, wrapping code when necessary.
- Checkstyle finds class design problems, method design problems, and others. It also has the ability to check code layout and formatting issues.
- PMD finds common programming flaws like unused variables, empty catch blocks, unnecessary object creation, and so forth.
- SpotBugs is used to perform static analysis on Java code. It looks for instances of "bug patterns".
Use ./gradlew lint
to analyze your code. Many problems can be automatically fixed with ./gradlew format
command.
Depending on our editor, you may want to add an editor extension to lint and format your code while you type or on-save.
Unit tests are responsible for testing of individual methods or classes by supplying input and making sure the output is as expected.
Use ./gradlew test
to execute the unit tests via JUnit 5 and Mockito.
Use ./gradlew test -t
to keep executing unit tests in real time while watching for file changes in the background.
You can see the HTML report opening the index.html file in your web browser.
It's a common requirement to run subsets of a test suite, such as when you're fixing a bug or developing a new test case.
Gradle provides different mechanisms.
For example, the following command lines run either all or exactly one of the tests in the SomeTestClass
test case:
./gradlew test --tests SomeTestClass
For more details, you can see the Test filtering section of the Gradle documentation.
This project uses JaCoCo which provides code coverage metrics for Java. The minimum code coverage is set to 80%. You can see the HTML coverage report opening the index.html file in your web browser.
Integration tests determine if independently developed units of software work correctly when they are connected to each other.
Use ./gradlew integrationTest
to execute the integration tests via JUnit 5, Testcontainers and REST Assured.
Use ./gradlew integrationTest -t
to keep executing your tests while watching for file changes in the background.
You can see the HTML report opening the index.html file in your web browser.
The first time, you need to build the Docker image used in the integration tests. For more details, see Building and deploying section.
Like unit tests, you can also run subsets of a test suite. See the Test filtering section of the Gradle documentation
You can debug the source code, add breakpoints, inspect variables and view the application's call stack.
Also, you can use the IDE for debugging the source code, unit and integration tests.
You can customize the log verbosity of gradle tasks using the -i
or --info
flag.
This project includes Swagger. To get a visual representation of the interface and send requests for testing purposes go to http://localhost:8080/microprofile-api/openapi-ui/.
In order to have a consistent git history every commit must follow a specific template. Here's the template:
<type>(<ITEM ID>?): <subject>
Must be one of the following:
- build: Changes that affect the build system or external dependencies (example scopes: Gradle, Maven)
- ci: Changes to our CI configuration files and scripts (example scopes: Jenkins, Travis, Circle, SauceLabs)
- chore: Changes to the build process or auxiliary tools and libraries such as documentation generation
- docs: Documentation only changes
- feat: A new feature
- fix: A bug fix
- perf: A code change that improves performance
- refactor: A code change that neither fixes a bug nor adds a feature
- revert: A commit that reverts a previous one
- style: Changes that do not affect the meaning of the code (white-space, formatting, missing semi-colons, etc.)
- test: Adding missing tests or correcting existing tests
The related issue or user story or even defect.
- For user stories, you shoud use
US-
as prefix. Example:feat(US-4321): ...
- For no related issues or defects you should leave it blank. Example:
feat: ...
The subject contains a succinct description of the change.
In ci
folder you can find scripts for your Jenkins CI pipeline and an example for deploying your application with Ansible to Docker Swarm.
This project follows Semantic Versioning and uses git tags to define the current version of the project.
Use ./gradlew currentVersion
to print the current version extracted from SCM and ./gradlew release
to release the current version.
This project contains a Dockerfile that you can use to build your Docker image. Use ./gradlew buildImage
.
Also, you can deploy this project to Docker Swarm using ./gradlew deploy
command.
For further reference, please consider the following sections: