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WARNING: This is archived, please see docs.openlmis.org

OpenLMIS Example Service

This example is meant to show an OpenLMIS 3.x Independent Service at work.

Prerequisites

  • Docker 1.11+

Quick Start

  1. Fork/clone this repository from GitHub.
git clone https://github.com/OpenLMIS/openlmis-example.git
  1. To properly test this example service is working, enter spring.mail values in the application.properties file.
  2. Add an environment file called .env to the root folder of the project, with the required project settings and credentials. For a starter environment file, you can use this one. e.g.
curl -o .env -L https://raw.githubusercontent.com/OpenLMIS/openlmis-ref-distro/master/settings-sample.env
  1. Develop w/ Docker by running docker-compose run --service-ports example. See Developing w/ Docker.
  2. To start the Spring Boot application, run with: gradle bootRun.
  3. Go to https://<yourDockerIPAddress>:8080/api/ to see the APIs.

API Definition and Testing

Our API is defined using RAML. This repository offers a preferred approach for integration-testing the API, generating user-friendly documentation for it, and ensuring that it’s congruous with the specification defined within the project’s RAML.

Specifically, src/main/resources/api-definition.yaml contains the project’s RAML.

After running gradle ramlToSwagger bootRun, developers can browse to https://<yourDockerIPAddress>:8080/docs/ to see a user-friendly and interactive version of the API spec.

NOTE: api-definition.yaml contains the project’s RAML. As BookIntegrationTest.java illustrates, RestAssured and raml-tester are paired in order to test the API's functionality and to ensure that it matches the specification within api-definition.yaml.

Building & Testing

See the Building & Testing section in the Service Template README at https://github.com/OpenLMIS/openlmis-template-service/blob/master/README.md#building.

Security

This example includes oauth2 resource server configuration that validates tokens with external auth container.

By default, the authorization server runs on port 8081. To obtain a token, make a request to the endpoint at /oauth/token. The client credentials must be included in Authorization header.

An example with password grant type:

POST https://localhost:8081/oauth/token?grant_type=password&username=admin&password=password
Authorization: Basic czZCaGRSa3F0MzpnWDFmQmF0M2JW
 
Basic Authentication
    Username
        trusted-client 
    Password
        secret

Parameters
    grant_type
        Authorization grant type.
    username 
        The resource owner username.
    password 
        The resource owner password.

Response:

{"access_token":"151a02ed-b6b4-4233-9566-cac2b7a1aec9","token_type":"bearer","expires_in":42509,"scope":"read write"}

When authentication succeeds, the user instance is stored as token principal.

NOTE: This example service is configured to permit all by default. It can be restricted through annotations: @PreAuthorize("hasAuthority('USER') and #oauth2.hasScope('read')") used in FooController.java @PreAuthorize("hasAuthority('ADMIN')") used in WeatherController.java.

When restricted, you can access the protected resource by adding access_token parameter to the request:

https://localhost:8080/api/foos/count?access_token=151a02ed-b6b4-4233-9566-cac2b7a1aec9

Email notifications

To test that email notifications are working in the example service, POST to:

https://<yourDockerIPAddress>:8080/api/notifications

some JSON object like so (put Content-Type: application/json in the headers):

{ "recipient": "<aValidEmailAddress>", "subject": "Test message", "message": "This is a test." }

Customizing REST controls

This example service also demonstrates how to enable/disable RESTful actions. Two classes, Foo and ReadOnlyFooRepository (in conjunction with Spring Data REST), expose a REST endpoint at /api/foos. This endpoint is read-only, which means POST/PUT/DELETE actions are not allowed. The ReadOnlyFooRepository does this by extending the Repository interface, rather than the CrudRepository interface, and defining the methods allowed. For read-only access, the save() and delete() methods, which are present in the CrudRepository, are not defined in the ReadOnlyFooRepository. By selectively exposing CRUD methods using Spring Data JPA, REST controls can be customized.

See the Spring Data JPA reference for more information.

Data Validation

The repository also illustrates two commonly used approaches to data validation within the context of Spring Rest: annotations and the validator pattern. Both work. Because the annotation-based approach is more prevalent within modern projects, however, the OpenLMIS team suggests adopting it within yours.

In the sample repository, the following classes comprise an example of the annotation-based approach:

  • Bar.java – Makes use of the following validation-related annotations: @Min, @Max, @NotEmpty, @Column(unique=true), and @BarValidation. The @BarValidation is an example of a custom-validation, and one which happens to perform cross-member checks.

  • BarValidation.java – Defines a custom @BarValidation annotation.

  • BarValidator.java – A class used by the @BarValidation annotation to perform the actual validation.

The following classes comprise an example of the alternate, validator-pattern, approach:

  • NotificationValidator.java – Provides validation logic for the Notification class.

  • NotificationController.java – Manually calls the aforementioned NotificationValidator in order to perform validation.

Extension points and extension modules

General information

OpenLMIS allows extending or overriding certain behavior of service using extension points and extension modules. Every independent service can expose extension points that an extension module may utilize to extend its behavior. Extension point is a Java interface placed in the service. Every extension point has its default implementation that can be overriden. Extension modules can contain custom implementation of one or more extension points from main service.

Decision about which implementation should be used is made based on the configuration file extensions.properties. This configuration file specifies which modules (implementations) should be used for the Service's extension points. In openlmis-example-extensions repository, there is an example of one such configuration file that specifies that a ExtensionAdjustmentReasonValidator module should be used for the extension point AdjustmentReasonValidator.

#Example extensions configuration
AdjustmentReasonValidator=ExtensionAdjustmentReasonValidator

The extension point AdjustmentReasonValidator is an ID defined by the interface AdjustmentReasonValidator.java, while the extension module ExtensionAdjustmentReasonValidator is an implementation of that interface whose name is a Spring Bean defined in ExtensionAdjustmentReasonValidator.java

Configuration file lives in independent service repository. Every extension module should be deployed as JAR and placed in directory etc/openlmis/extensions. This directory can be changed, it is defined in docker-compose.yml file.

Example extension module and configuration file is published in the repository openlmis-stockmanagement-validator-extension.

Following classes are example of extension points usage:

  • AdjustmentReasonValidator.java - sample extension point, that has Id defined in ExtensionPointId class.
  • DefaultAdjustmentReasonValidator.java - default implementation of that interface, it has @Component annotation that contains its Id.
  • ExtensionAdjustmentReasonValidator.java - class extending AdjustmentReasonValidator interface from openlmis-stockmanagement repository. It has @Component annotation that contains its Id.
  • ExtensionManager.java - class that has getExtensionByPointId method. It returns implementation of an extension class that is defined in configuration file for extension point with given Id.

Naming convention

The extension points' and extension modules' IDs should be unique and in UpperCamelCase. A situation where two extension modules have the same ID leads to undeterministic behavior - it is not possible to predict which bean will be used.

  • Extension points should be descriptive of the behavior that may be changed. For example "RequisitionOrderQuantityCalculation" instead of "OrderQuantity".
  • Extension Modules should describe the behaviour that is implemented and the extension point that is being used. For example "RequisitionOrderQuantityCalculationAMC" and "RequisitionOrderQuantityCalculationISA".

Developing with Docker

See the Developing with Docker section in the Service Template README at https://github.com/OpenLMIS/openlmis-template-service/blob/master/README.md#devdocker.

Development Environment

See the Development Environment section in the Service Template README at https://github.com/OpenLMIS/openlmis-template-service/blob/master/README.md#devenv.

Build Deployment Image

See the Build Deployment Image section in the Service Template README at https://github.com/OpenLMIS/openlmis-template-service/blob/master/README.md#buildimage.

Publish to Docker Repository

TODO

Docker's file details

See the Docker's file details section in the Service Template README at https://github.com/OpenLMIS/openlmis-template-service/blob/master/README.md#dockerfiles.

Logging

See the Logging section in the Service Template README at https://github.com/OpenLMIS/openlmis-template-service/blob/master/README.md#logging.

Internationalization (i18n)

See the Internationalization section in the Service Template README at https://github.com/OpenLMIS/openlmis-template-service/blob/master/README.md#internationalization.

Debugging

See the Debugging section in the Service Template README at https://github.com/OpenLMIS/openlmis-template-service/blob/master/README.md#debugging.