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The Easiest way to have the PLIR set up locally is by using Docker and Docker Compose Make sure you have docker and docker-compose installed locally.

See Docker Installation Instructions for your environment.  If running on Linux, check https://docs.docker.com/compose/install/ to install docker compose.

Checkout  this git-repo  for a fully pre-configured Dockerized PLIR set up and follow the instruction below

1. Clone the Repository locally 

   Code Block
   language bash
   git clone https://github.com/mozzy11openmrs/PLIRopenmrs-plir-Dockerizeddockerized-Setupsetup.git

   
   

2.  Move  Move to the project root directory and Spin Up spin up the pre-configured OpenMRS ,OpenHIM and ,Hapi-Fhir and the streaming-binlog pipeline instances .

   Code Block
   language bash
   docker-compose up./run.sh

   
   

3. You should be able to acces the OpenMRS ,OpenHIM and Hapi-Fhir instances  at the following urls
   
   

   Instance	URL	credentials (user : password)
   OpenMRS	http://localhost:8080/openmrs	admin : Admin123
   OpenHIM	http://localhost:9000	root@openhim.org : openhim-password
   Hapi FHir	http://localhost:8090	hapi : hapi123

   After Logging into OpenHIM  (see more ), Import the Config-file inside the Config folder ie    config/openhim-config.json 
   

   
   

   Note that the OpenMRS Instance above

   Note:

   • The OpenMRS Instance is pre-loaded with CIEL and

   comes with

   • a sample form (

   TX

   • HIV_

   PVLS

   • form) to collect TX_PVLS specific data

   Load

   • The above script also loads the necesary TX_

   PVLS Measure

   • PVLS Measure and Library Resources into the Hapi FHir . see

   how to load

   • the Resources

   into Hapi Fhir .
   Spin up the streaming-debezium pipeline  . 

   Code Block
   language bash
   docker-compose -f pipeline-compose.yml up

   Note that you run the above command from the root directory of the cloned repository.
    You can use the TX_PVLS form pre-loaded in the OpenMRS instance to capture TX_PVLS specific data
   The running Pipeline will listen to any  any

   • under the resources folder.

   • The Openhim instance is pre-configured with the necesary meta-data

   Wait for the plir-streaming-pipeline container to start running before adding any data into OpenMRS. The running Pipeline will then listen to any  data changes  added in to OpenMRS and route them to the FHIR server through OpenHIM.

   
   
   
4.  See here how to invoke the evaluate-measure and 

   Invoke the collect-data

   operation

   FHIR Operation using the Get request below to generate the

   releveant

   relevant Dataset for TX_

   PVLS and the actual indicator calculation based on CQL evaluation

   PVLS
   
   

   Code Block
   language bash
   GET: http://localhost:8090/fhir/Measure/TX-PVLS/$collect-data?periodStart=<date>&periodEnd=<date>

   
   

5. Invoke the evaluate-measure  FHIR Operation using the Get request below for the  indicator calculation based on CQL evaluation
   
   

   Code Block
   language bash
   GET: http://localhost:8090/fhir/Measure/TX-PVLS/$evaluate-measure?periodStart=<date>&periodEnd=<date>

   
   Note : substitute <date> in the GET request with your actual date parameter .
   
   

6. You can use a plir-widget innitially develeoped by the bahmni-plir team , to easily query and visualise the Measure report generated from the HAPI-FHIR server .
   

   • Install the http-server . see inginix (proxy-server) config under plir-widget/config/nginx.conf .

   • To run the widget , run the command below from the root directory
     
     

     Code Block
     ./run-widget.sh

   • you should be able to access the widget at http://localhost:7000/ .

   Procede to select the measure TX-PVLS , select the start date and generate the report using the widget

7. To remove and clean out all created containers and volumes, run
   

   Code Block
   ./stop.sh

   
   

   Main Repositories

   • Hapi FHir for OpenMRS PLIR https://github.com/openmrs/openmrs-contrib-plm-fhir-server
   • Analytics Engine Pipeline https://github.com/GoogleCloudPlatform/openmrs-fhir-analytics