OpenLMIS Bottom-Up Quantification Service

This repository holds the files for the OpenLMIS Bottom-Up Quantification Independent Service.

Prerequisites

• Docker 1.11+
• Docker Compose 1.6+

Quick Start

1. Fork/clone this repository from GitHub.

git clone https://github.com/OpenLMIS/openlmis-buq.git

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.

cd openlmis-buq
curl -o .env -L https://raw.githubusercontent.com/OpenLMIS/openlmis-ref-distro/master/settings-sample.env

3. Develop w/ Docker by running docker-compose run --service-ports buq. See Developing w/ Docker. You should now be in an interactive shell inside the newly created development environment.
4. Run gradle build to build. After the build steps finish, you should see 'Build Successful'.
5. Start the service with gradle bootRun. Once it is running, you should see 'Started Application in NN seconds'. Your console will not return to a prompt as long as the service is running. The service may write errors and other output to your console.
6. You must authenticate to get a valid access_token before you can use the service. Follow the Security instructions to generate a POST request to the authorization server at http://localhost:8081/. You can use a tool like Postman to generate the POST. The authorization server will return an access_token which you must save for use on requests to this OpenLMIS service. The token will expire with age, so be ready to do this step often.
7. Go to http://localhost:8080/?access_token=<yourAccessToken> to see the service name and version. Note: If localhost does not work, the docker container with the service running might not be bridged to your host workstation. In that case, you can determine your Docker IP address by running docker-machine ip and then visit http://<yourDockerIPAddress>:8080/.
8. Go to http://localhost:8080/index.html?access_token=<yourAccessToken> to see the Swagger UI showing the API endpoints. (Click 'default' to expand the list.)
9. Use URLs of the form http://localhost:8080/api/*?access_token=<yourAccessToken> to hit the APIs directly.

Stopping the Service

To stop the service (when it is running with gradle bootRun) use Control-C.

To clean up unwanted Docker containers, see the Docker Cheat Sheet.

API Definition and Testing

See the API Definition and Testing section in the Example Service README at https://github.com/OpenLMIS/openlmis-example/blob/master/README.md#api.

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

See the Security section in the Example Service README at https://github.com/OpenLMIS/openlmis-example/blob/master/README.md#security.

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.

Running complete application with nginx proxy

See the Running complete application with nginx proxy section in the Service Template README at https://github.com/OpenLMIS/openlmis-template-service/blob/master/README.md#nginx.

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.

Demo Data

A basic set of demo data is included with this service, defined under ./src/main/resources/db/demo-data/. This data may be optionally loaded by using the demo-data Spring Profile. Setting this profile may be done by setting the spring.profiles.active environment variable.

When building locally from the development environment, you may run:

$ export spring_profiles_active=demo-data
$ gradle bootRun

To see how to set environment variables through Docker Compose, see the Reference Distribution

Refresh DB

If the service is being deployed against a database which has data, and that data has been modified outside of the operation of the Service (or sometimes when upgrading this Service), you'll want to run the Service at least once with the following profile:

spring_profiles_active=refresh-db

This will ensure that the database works well with this Service, including:

• Run the audit log initializer which ensures everything in the database has an audit log.

Production by Spring Profile

By default when this service is started, it will clean its schema in the database before migrating it. This is meant for use during the normal development cycle. For production data, this obviously is not desired as it would remove all of the production data. To change the default clean & migrate behavior to just be a migrate behavior (which is still desired for production use), we use a Spring Profile named production. To use this profile, it must be marked as Active. The easiest way to do so is to add to the .env file:

spring_profiles_active=production

This will set the similarly named environment variable and limit the profile in use. The expected use-case for this is when this service is deployed through the Reference Distribution.

Database Clustering on a Schedule

In order to improve performance on some database tables, a scheduled task has been added to this Service, which will perform clustering on those tables. In order to use this, set the following environment variables:

• DB_CLUSTERING_ENABLED - Boolean that determines if the clustering tasks should be run. Set to true or false; false if not set.

• DB_CLUSTERING_CRON_EXP - A cron expression that determines on what schedule the clustering tasks are run. See the Spring documentation to know the format.

Environment variables

Environment variables common to all services are listed here: https://github.com/OpenLMIS/openlmis-template-service/blob/master/README.md#environment-variables

• CONSUMED_REASON_ID - the ID of the reason that will be used to make consumption entries in Stock Management physical inventory

• RECEIPTS_REASON_ID - the ID of the reason that will be used to make receipts entries in Stock Management physical inventory