CCD Orchestrator is a backend service that facilitates interactions between CCD, the EM Stitching service, and a calling service.
az login
az acr login --name hmcts --subscription 1c4f0704-a29e-403d-b719-b90c34ef14c9
./gradlew assemble
DOCMOSIS_ACCESS_KEY=xxx docker-compose -f docker-compose-dependencies.yml up --build
Note that unlike other Evidence Management projects the ccd-orchestrator-api is included in the docker-compose-dependencies.yaml and will run via docker for local functional testing. This is to work around an issue with Linux docker container networking.
It uses:
- Java8
- Spring boot
- Junit, Mockito and SpringBootTest and Powermockito
- Gradle
- lombok project - Lombok project
- lombok plugin - Lombok IDEA plugin
#Cloning repo and running though docker
git clone https://github.com/hmcts/rpa-em-ccd-orchestrator.git
cd rpa-em-ccd-orchestrator/
./buildrundm-docker.sh
#Run this script to acquire IDAM credentials required for DM API.
./idam.sh
To view our REST API go to {HOST}:{PORT}/swagger-ui.html
A list of our endpoints can be found here
The bundle configuration files can be validated by executing the validateYaml
task:
./gradew validateYaml
The purpose of this template is to speed up the creation of new Spring applications within HMCTS and help keep the same standards across multpile teams. If you need to create a new app, you can simply use this one as a starting point and build on top of it.
The template is a working application with a minimal setup. It contains:
- application skeleton
- common plugins and libraries
- docker setup
- swagger configuration for api documentation (see how to publish your api documentation to shared repository)
- code quality tools already set up
- integration with Travis CI
- Hystrix circuit breaker enabled
- Hystrix dashboard
- MIT license and contribution information
The application exposes health endpoint (http://localhost:4550/health) and metrics endpoint (http://localhost:4550/metrics).
The template contains the following plugins:
-
checkstyle
https://docs.gradle.org/current/userguide/checkstyle_plugin.html
Performs code style checks on Java source files using Checkstyle and generates reports from these checks. The checks are included in gradle's check task (you can run them by executing
./gradlew check
command). -
pmd
https://docs.gradle.org/current/userguide/pmd_plugin.html
Performs static code analysis to finds common programming flaws. Incuded in gradle
check
task. -
jacoco
https://docs.gradle.org/current/userguide/jacoco_plugin.html
Provides code coverage metrics for Java code via integration with JaCoCo. You can create the report by running the following command:
./gradlew jacocoTestReport
The report will be created in build/reports subdirectory in your project directory.
-
io.spring.dependency-management
https://github.com/spring-gradle-plugins/dependency-management-plugin
Provides Maven-like dependency management. Allows you to declare dependency management using
dependency 'groupId:artifactId:version'
ordependency group:'group', name:'name', version:version'
. -
org.springframework.boot
http://projects.spring.io/spring-boot/
Reduces the amount of work needed to create a Spring application
-
org.owasp.dependencycheck
https://jeremylong.github.io/DependencyCheck/dependency-check-gradle/index.html
Provides monitoring of the project's dependent libraries and creating a report of known vulnerable components that are included in the build. To run it execute
gradle dependencyCheck
command. -
com.github.ben-manes.versions
https://github.com/ben-manes/gradle-versions-plugin
Provides a task to determine which dependencies have updates. Usage:
./gradlew dependencyUpdates -Drevision=release
The project uses Gradle as a build tool. It already contains
./gradlew
wrapper script, so there's no need to install gradle.
To build the project execute the following command:
./gradlew build
Create the image of the application by executing the following command:
./gradlew installDist
Create docker image:
docker-compose build
Run the distribution (created in build/install/spring-boot-template
directory)
by executing the following command:
docker-compose up
This will start the API container exposing the application's port
(set to 4550
in this template app).
In order to test if the application is up, you can call its health endpoint:
curl http://localhost:4550/health
You should get a response similar to this:
{"status":"UP","diskSpace":{"status":"UP","total":249644974080,"free":137188298752,"threshold":10485760}}
To skip all the setting up and building, just execute the following command:
./bin/run-in-docker.sh
For more information:
./bin/run-in-docker.sh -h
Script includes bare minimum environment variables necessary to start api instance. Whenever any variable is changed or any other script regarding docker image/container build, the suggested way to ensure all is cleaned up properly is by this command:
docker-compose rm
It clears stopped containers correctly. Might consider removing clutter of images too, especially the ones fiddled with:
docker images
docker image rm <image-id>
There is no need to remove postgres and java or similar core images.
Hystrix is a library that helps you control the interactions between your application and other services by adding latency tolerance and fault tolerance logic. It does this by isolating points of access between the services, stopping cascading failures across them, and providing fallback options. We recommend you to use Hystrix in your application if it calls any services.
This template API has Hystrix Circuit Breaker
already enabled. It monitors and manages all the@HystrixCommand
or HystrixObservableCommand
annotated methods
inside @Component
or @Service
annotated classes.
When this API is running, you can monitor Hystrix metrics in real time using Hystrix Dashboard. In order to do this, visit http://localhost:4550/hystrix and provide http://localhost:4550/hystrix.stream as the Hystrix event stream URL. Keep in mind that you'll only see data once some of your Hystrix commands have been executed. Otherwise 'Loading...' message will be displayed on the monitoring page.
Hystrix offers much more than Circuit Breaker pattern implementation or command monitoring. Here are some other functionalities it provides:
- Separate, per-dependency thread pools
- Semaphores, which you can use to limit the number of concurrent calls to any given dependency
- Request caching, allowing different code paths to execute Hystrix Commands without worrying about duplicating work
This project is licensed under the MIT License - see the LICENSE file for details