See also: JIRA link:
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what is it : (Data management and exposure) Service that manages data subscriptions. It separates data consumers from data producers (for different vendor). Data consumer doesn't need to be aware of where the data source.
where is it: https://github.com/o-ran-sc/nonrtric-plt-informationcoordinatorservice mirror of https://gerrit.o-ran-sc.org/r/nonrtric/plt/informationcoordinatorservice
historical names? : Information Coordinator Service (ICS); , Enrichment Information Coordinator; .
Terminology:
- Information Type: Represents the types of data that can be produced by data producers and consumed by data consumers.
- Information Job: Represents an active data subscription by a data consumer, specifying the type of data to be produced and additional parameters for filtering.
- Data Consumer: Represents entities that consume data and manage data subscription jobs.
- Data Producer: Represents entities that produce data.
API offered in ICS:
- Data producer API: Information Type and Information Producer
- Producer CALLBACKS: GET healthcheck (supervision); Information Job Creation/Modification/Delete.
- Data consumer API: Information Type Subscription Creation/Modification/Delete (REGISTERED/UNREGISTERED); Information Job (Creation/Modification/Delete) and GET Information Type
- Consumer CALLBACKS: POST Information Type Status: REGISTERED/UNREGISTERED invoked when a Information type status has been changed
- Service status API: Returns statistics such as Number of Producers Types and Jobs
ICS Docker Image:
1. Building the docker image from source and run it on port 8083 http
...
- Check the system for dependencies such as Maven, Java, Docker and docker-compose
- Package the demo application for a producer and a consumer and build the docker images
- Start the docker container in the same docker network with docker-compose
- After Strimzi kafka is up and running the user can run manually ./runproducer.sh and ./runconsumer.sh in different shells or use demo.sh to start the producer and consumer
- The script will send type1 to ICS, which is already predefined in the demo application
- The script will send the producer info to ICS
- The script will send the consumer job info to ICS
- ICS will trigger the demo application based on its callbacks
- Data is produced on the demo application
- The script sends docker logs of the Producer Callback function of ICS
- The script sends docker logs of the Demo applications
Terminology:
- Information Type: Represents the types of data that can be produced by data producers and consumed by data consumers.
- Information Job: Represents an active data subscription by a data consumer, specifying the type of data to be produced and additional parameters for filtering.
- Data Consumer: Represents entities that consume data and manage data subscription jobs.
- Data Producer: Represents entities that produce data.
API offered in ICS:
...
- Producer CALLBACKS: GET healthcheck (supervision); Information Job Creation/Modification/Delete
...
- Consumer CALLBACKS: POST Information Type Status: REGISTERED/UNREGISTERED invoked when a Information type status has been changed.
...