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# Quality on Demand API Proof of Concept

## Candidate CAMARA API - QoD Provisioning

For this Proof of Concept (PoC), we decided to rely on the CAMARA QoD Provisioning API.

Such API has the following endpoints:

Our solution needs to be deployed in a Kubernetes cluster. A 5G Core is needed for proper implementation as well as your own 5G Core Controller.

The PoC is based on OSL CAMARAaaS Add-on. It is recommended to read this before diving into the implementation of the PoC.

To replicate this PoC you have to clone the code found in the CAMARA Addon project.

## General concepts of the OSL CAMARAaaS as a TMF Service Specification

First step is to design and expose the OSL CAMARA API service via the TMF models (Service Specification that can be ordered). The OSL CAMARA API service uses as backend connectivity the OSL message bus (OSL’s Active MQ broker). It exposes the CAMARA API, translates and forwards the requests to TMF Service Inventory model via the service bus. Therefore, considering the interactions that shall take place between the exposed CAMARA API, the Operator’s running 5G Controller Service and the architecture introduced before, the OSL CAMARA API exposure service must interface with OSL’s Active MQ broker. Moreover, for this first prototype the OSL's CAMARAaaS will be delivered via a Service Order. To enable this, we need to design it in OpenSlice as a Service Specification, so in general some TMF service characteristics are required to pass this information to the OSL CAMARA API exposure service which will be orchestrated, deployed and configured through OSL:

- messageBroker.address - OSL's ActiveMQ Address (e.g. 10.10.10.10)
- messageBroker.port - OSL's ActiveMQ Port
- messageBroker.username - OSL’s ActiveMQ Username
- messageBroker.password - OSL’s ActiveMQ Password

Additionally, we also need another Service Characteristic to store the UUID of the Operator’s running 5G Controller Service that will be triggered through the CAMARA API:

- serviceUnderControl.uuid

Considering that the CAMARA API will be orchestrated by OSL, the client does not know where the API will be deployed, nor the credentials used to access it. Therefore, 4 additional characteristics are required. These will be automatically updated by OSL after the CAMARA API Service is deployed:

- camaraAPI.url - URL of the CAMARA API orchestrated by this service (view-only). This field will be automatically populated when the CAMARA API starts running
- camaraAPI.username - Username of the CAMARA API orchestrated by this service (view-only). This field will be automatically populated when the CAMARA API starts running
- camaraAPI.password - Password of the CAMARA API orchestrated by this service (view-only). This field will be automatically populated when the CAMARA API starts running
- camaraAPI.status - This characteristic (view-only) will be populated with the CAMARA API status (RUNNING, NOT_RUNNING)

Additionally, you may create a characteristic titled “camaraAPI.results”, which you can use to have visibility of the QoD Provisionings processed by the API, at OSL level. Still, this characteristic is not required.

Therefore, OSL’s CAMARAaaS (QoD API exposure service) will contain the following TMF Service Characteristics:

- messageBroker.address
- messageBroker.port
- messageBroker.username
- messageBroker.password
- serviceUnderControl.uuid
- camaraAPI.url
- camaraAPI.username
- camaraAPI.password
- camaraAPI.status
- camaraAPI.results

### Broker Connection

This API has a ServiceEventManager class that communicates with OSL's ActiveMQ broker through two topics:

- `CATALOG.UPD.SERVICE`: Topic for catalog updates.
- `EVENT.SERVICE.ATTRCHANGED`: Topic for service attribute changes.

### CATALOG.UPD.SERVICE

Whenever a new provisioning is created for an UE, the ServiceEventManager's update_service method is called. This method sends a service update message through OpenSlice's CATALOG.UPD.SERVICE topic. When OSL receives the request, it updates the Operator's 5G Controller Service with the new characteristics, which are then caught and materialized by the correspondent Kubernetes Operator. After processing the request, the Operator adds the result to the CR-related service characteristic, i.e. camaraResults.

### EVENT.SERVICE.ATTRCHANGED

The ServiceEventManager subscribes to this topic to obtain and process the update messages regarding the specified Operator's 5G Controller Service, namely the UE QoD Profile Enforcer OSL service. Whenever this service's characteristics are updated in OSL, this class catches the update message. Then, the class extracts the camaraResults characteristic, which contains all QoS provisionings applied to the UE(s).

These results are then processed by the CamaraResultsProcessor class, which updates each provisioning accordingly in the database.

## General concepts of the QoD service (the 5G Core Provider/Operator Service) as OSL TMF Service Specification

Having chosen the candidate API, the first step is to find a way to map the possible requests to TMF Service characteristics of the Operator’s service. Our approach in general is the following:

- Design the QoD service that will accept the necessary QoD related characteristics
- Implement the QoD service as a controller able to manage your 5G Core
- Deploy it in a kubernetes cluster that OSL can manage (via CRIDGE)

By looking at API’s specification, it is clear that at least 3 operations are required: (i) the creation of a QoD profile, (ii) its deletion, and (iii) listing all active QoD profiles. Therefore, we can proceed with evaluating the payload required for creating a QoD Provisioning. This payload involves various fields, which can be translated to the TMF Service Characteristics:

- qodProv.device.phoneNumber
- qodProv.device.networkAccessIdentifier
- qodProv.device.ipv4Address.privateAddress
- qodProv.device.ipv4Address.publicAddress
- qodProv.device.ipv4Address.publicPort
- qodProv.device.ipv6Address
- qodProv.qosProfile
- qodProv.sink
- qodProv.sinkCredential.credentialType

In order to support interaction with the previously defined OSL’s CAMARAaaS and alignment the CAMARA QoD Provisioning API models in general, the QoD service must be designed, at least, with these characteristics.

Still, since there are various operations that can take place (CREATE and DELETE), a characteristic is also needed to map this. Therefore, the Operator's QoD service must also have a characteristics titled qodProv.operation. The DELETE operation is achieved based on a provisioning Id, and therefore the respective characteristics is needed: qodProv.provisioningId.

Finally, characteristic is required to store the provisionings that were enforced by the Operator's QoD service. We can define this characteristic as camaraResults.

Therefore, for an Operator’s service to be controlled by OSL’s CAMARAaaS specification, it needs to be designed with, at least, the following characteristics:

- qodProv.device.phoneNumber
- qodProv.device.networkAccessIdentifier
- qodProv.device.ipv4Address.privateAddress
- qodProv.device.ipv4Address.publicAddress
- qodProv.device.ipv4Address.publicPort
- qodProv.device.ipv6Address
- qodProv.qosProfile
- qodProv.sink
- qodProv.sinkCredential.credentialType
- qodProv.operation
- qodProv.provisioningId
- camaraResults

Additional characteristics are fully supported. Those can be custom characteristics that are required by the Operator's QoD Service.

In regard to the camaraResults characteristic, to allow interoperability, it must store a Stringified JSON Array with the enforced QoD Provisionings. The schema of each provisioning should be the one defined in CAMARA’s QoD Provisioning API Specification.

## How To / Demonstration

### 1. Dummy QoD Kubernetes Operator Service Design

For this prototype, since we cannot deliver a QoD Service implementation for a specific commercial core, we created a Dummy QoD Kubernetes Operator Service which emulates the 5G Core configuration. In future releases of OSL we will offer solutions for some open source 5G cores, and/or some code templates to build your own 5G Core Operator.

We will start by looking at the Dummy QoD Kubernetes Operator Service we have created to demonstrate this Add-on. The Service will be offered as a simple Custom Resource (CR) deployed in a Kubernetes cluster. You may find its Custom Resource Definition (CRD) under `/DummyOperatorService/crd.yaml` Look at the CRD fields. Please notice that these were defined according with what we introduced in the previous section.

The first step is then to install this CRD in your kubernetes cluster. To this end, you may use the following command: `make create-dummy-operator-crd`

After creating the CRD in your Kubernetes cluster, you may access OSL’s Resource Inventory and you will see the just created resource there.

We need now to start offering this as-a-Service, ready to be ordered from the Service Catalogue. So, the first step is to create a Resource-Facing-Service (RFS) Specification to expose this resource. To do so, you may read the Exposing Kubernetes Operators as a Service : Offering "Calculator as a Service" through OpenSlice documentation page.

Regarding the RFS Service, you must set the following characteristics:

- _CR_CHECKVAL_AVAILABLE = RUNNING
- _CR_CHECK_FIELD = spec.status

By setting these characteristics, you will rely on the value of `spec.status` to set the service as `active`. Ideally, the 5G Core provider would have implemented a proper Kubernetes Operator for this Custom Resource to implement the requested QoD. However, as discussed already, for demonstration purposes, we will short-circuit the behavior and we will set `spec.status` to `RUNNING` immediately after deployment.

Then, you can proceed to create a Customer-Facing-Service (CFS) Specification, which will incorporate the just created RFS Service. More information is available at: Exposing Kubernetes Operators as a Service : Offering "Calculator as a Service" through OpenSlice. To create the CFS Service's characteristics, you may use the Service Specification available at `/DummyOperatorService/OSLArtifacts/DummyOperatorService-CFS-Specification.json` . You may manually create the CFS Service, or you may onboard this Service Specification by making a POST request to `{{url}}/tmf-api/serviceCatalogManagement/v4/serviceSpecification`.

After creating the CFS Specification, you should mark this Service as a Bundle. Then, go to “Service Specification Relationships” and add the previous created RFS Specification.

Regarding the LCM Rules for the CFS Service, you should configure the following ones:

[Pre-Provision Rule] - Short-circuits RFS/Sets RFS's spec.status to "Running"

Pre-Provision Rule Java code

    {
    java.util.HashMap<String,String> charvals = new java.util.HashMap<>();
    charvals.put("_CR_SPEC",String.format("""
    apiVersion: org.etsi.osl/v1
    kind: DummyOperatorService
    metadata:
      name: _to_be_replaced_by_osl
      namespace: default
    spec:
      status: "%s"
    """
    , "RUNNING"));
    setServiceRefCharacteristicsValues("Dummy Operator Service - RFS", charvals);
    }

[Supervision Rule] - Detects changes to the Operator's CFS and reflects them and forwards them to RFS

Supervision Rule Java code

    {
    java.util.HashMap<String,String> charvals = new java.util.HashMap<>();
    charvals.put("_CR_SPEC",String.format("""
    apiVersion: org.etsi.osl/v1
    kind: DummyOperatorService
    metadata:
      name: _to_be_replaced_by_osl
      namespace: default
    spec:
      qodProv:
        operation: "%s"
        provisioningId: "%s"
        device:
          phoneNumber: "%s"
          networkAccessIdentifier: "%s"
          ipv4Address:
            publicAddress: "%s"
            privateAddress: "%s"
            publicPort: %d
          ipv6Address: "%s"
        qosProfile: "%s"
        sink: "%s"
        sinkCredential:
          credentialType: "%s"
    """
    , getCharValAsString("qodProv.operation"), getCharValAsString("qodProv.provisioningId"), getCharValAsString("qodProv.device.phoneNumber"), getCharValAsString("qodProv.device.networkAccessIdentifier"), getCharValAsString("qodProv.device.ipv4Address.publicAddress"), getCharValAsString("qodProv.device.ipv4Address.privateAddress"), getCharValNumber("qodProv.device.ipv4Address.publicPort"), getCharValAsString("qodProv.device.ipv6Address"), getCharValAsString("qodProv.qosProfile"), getCharValAsString("qodProv.sink"), getCharValAsString("qodProv.sinkCredential.credentialType")));
    setServiceRefCharacteristicsValues("Dummy Operator Service - RFS", charvals);
    }
    setCharValFromStringType("camaraResults", getServiceRefPropValue("Dummy Operator Service - RFS", "serviceCharacteristicValue", "spec.camaraResults"));

You can find the `_CR_SPEC` template used for the pre-provision rule at `/DummyOperatorService/OSLArtifacts/cr-template-pre-provision.yaml` . The `_CR_SPEC` template used for the supervision rule is available at `/DummyOperatorService/OSLArtifacts/cr-template-supervision.yaml`

After that, you may expose this service via OSL’s Service Catalog, and order it. You do not need to configure any characteristics when ordering this Service. Confirm that the Service Order was completed, both RFS and CFS Services are active, and a Custom Resource of type DummyOperatorService was created in your Kubernetes Cluster. See images below:

### 2. OSL CAMARAaaS QoD Provisioning API exposure Service Design

Then, we can proceed to design the CAMARAaaS QoD Provisioning API exposure Service Specification in OSL catalogue. To this end, OSL’s team has implemented in Python the CAMARAaaS QoD Provisioning API, created a CRD to offer it, and developed a Kubernetes Operator to deal with its internal logic.

#### 2.1 OSL CAMARAaaS QoD Provisioning API - Kubernetes Operator

The previous docker image shall make available the CAMARA QoD Provisioning API. However, these API will be made available through Custom Resources of Type `CAMARAaaS-QoDProvisiongAPI`. Therefore, we also need a Kubernetes Operator to manage these resources. The Operator’s code can be found under `/QoDProvisioningAPI/Operator`. There, you have the source code of the Kubernetes Operator. The Operator's Helm Chart uses the default OSL registry docker images. If you are interesting in developing your own, please refer to the Makefile. To install the Operator, run the following command:

    helm install camaraaas-qod-prov-operator ./QoDProvisioningAPI/Operator/chart --namespace <namespace_where_the_operator_shall_be_deployed> --create-namespace

After this, check if the operator is running through the `make get-operator-logs` command.

If everything went ok, you should have a new CRD in your Kubernetes cluster. Run this command to verify if it was created: `kubectl describe crd camaraaas-qod-provisioning-apis.org.etsi.osl`.

Before designing the service in OSL, let us first create a CR of type `CAMARAaaS-QoDProvisiongAPI` to validate that the operator is behaving according to what is expected. To this end, you may use the test custom resource available at `/QoDProvisioningAPI/Operator/test-cr.yaml` . Before creating the resource, you need to update the fields: spec.messageBroker.address, spec.messageBroker.port, spec.messageBroker.username, spec.messageBroker.password, with the values that relate with your OSL instance. The default values will be the following ones:

- spec.messageBroker.address: {your OSL address}
- spec.messageBroker.port: 61613
- spec.messageBroker.username: artemis
- spec.messageBroker.password: artemis

For now, you do not need to update the field serviceUnderControl.uuid. You may leave it as is.

After these updates, create the CR by running the command: `make create-operator-test-cr`.

When the CR is created, its operator will deploy the CAMARA QoD API in a pod and expose it via a K8s Node Port. The URL where the API is available is published under the CR field `spec.camaraAPI.url` (e.g. http://10.255.28.73:32630). Check this field by running `make describe-operator-test-cr`. To confirm the API is running, access /docs. You should see the following:

If you see this page, the CAMARA QoD Provisioning API Custom Resources and their operator is working. You may delete the Custom Resource you created. Run the following command: `make delete-operator-test-cr`.

#### 2.2 OSL CAMARAaaS QoD Provisioning API - TMF Service Specification Design

Now we can proceed to create an OSL TMF Service Specification that maps the CAMARAaaS QoD Provisioning API CR, ready to be ordered in your OSL Service Specification Catalogue.

The first step is to create an RFS Service to expose this resource. To do so, you may read the Exposing Kubernetes Operators as a Service : Offering "Calculator as a Service" through OpenSlice documentation page.

Regarding the RFS Service, you must set the following characteristics:

- _CR_CHECKVAL_AVAILABLE = RUNNING
- _CR_CHECK_FIELD = spec.camaraAPI.status

By setting this characteristics, you will rely on the value of `spec.camaraAPI.status` to set the service as `active`. The previous operator, when it deploys the CAMARA QoD Provisioning API will set that CR field to `RUNNING`.

Then, you can proceed to create a CFS Service, which will incorporate the just created RFS Service. More information is available at: Exposing Kubernetes Operators as a Service : Offering "Calculator as a Service" through OpenSlice. To create the CFS Service characteristics, you may use the Service Specification available at `/QoDProvisioningAPI/OSLArtifacts/CAMARAaaS-QoD-Provisioning-API-CFS-Specification.json`. You may manually create the CFS Service, or you may onboard this Service Specification by making a POST request to `{{url}}/tmf-api/serviceCatalogManagement/v4/serviceSpecification`.

After creating the Service Specification, you should mark this Service as a Bundle. Then, go to “Service Specification Relationships” and add the RFS Service.

Regarding the LCM Rules for the CFS Service, you should configure the following ones:

[Pre-Provision Rule] - Forwards the user input towards the created CR of type "CAMARAaaS-QoDProvisiongAPI"

Pre-Provision Rule Java code

    {
    java.util.HashMap<String,String> charvals = new java.util.HashMap<>();
    charvals.put("_CR_SPEC",String.format("""
    apiVersion: org.etsi.osl/v1
    kind: CAMARAaaS-QoDProvisiongAPI
    metadata:
      name: _to_be_replaced_by_osl_
    spec:
      messageBroker:
        address: "%s"
        port: %d
        username: "%s"
        password: "%s"
      serviceUnderControl:
        uuid: "%s"
    """
    , getCharValAsString("messageBroker.address"), getCharValNumber("messageBroker.port"), getCharValAsString("messageBroker.username"), getCharValAsString("messageBroker.password"), getCharValAsString("serviceUnderControl.uuid")));
    setServiceRefCharacteristicsValues("CAMARAaaS - QoD Provisioning API - RFS", charvals);
    }

[Supervision Rule] - Updates the exposed QoD Provisioning API Service with information about the undertaken actions

Supervision Rule Java code

    {
    java.util.HashMap<String,String> charvals = new java.util.HashMap<>();
    charvals.put("_CR_SPEC",String.format("""
    apiVersion: org.etsi.osl/v1
    kind: CAMARAaaS-QoDProvisiongAPI
    metadata:
      name: _to_be_replaced_by_osl_
    spec:
      messageBroker:
        address: "%s"
        port: %d
        username: "%s"
        password: "%s"
      serviceUnderControl:
        uuid: "%s"
    """
    , getCharValAsString("messageBroker.address"), getCharValNumber("messageBroker.port"), getCharValAsString("messageBroker.username"), getCharValAsString("messageBroker.password"), getCharValAsString("serviceUnderControl.uuid")));
    setServiceRefCharacteristicsValues("CAMARAaaS - QoD Provisioning API - RFS", charvals);
    }
    setCharValFromStringType("camaraAPI.status", getServiceRefPropValue("CAMARAaaS - QoD Provisioning API - RFS", "serviceCharacteristicValue", "spec.camaraAPI.status"));
    setCharValFromStringType("camaraAPI.url", getServiceRefPropValue("CAMARAaaS - QoD Provisioning API - RFS", "serviceCharacteristicValue", "spec.camaraAPI.url"));
    setCharValFromStringType("camaraAPI.username", getServiceRefPropValue("CAMARAaaS - QoD Provisioning API - RFS", "serviceCharacteristicValue", "spec.camaraAPI.username"));
    setCharValFromStringType("camaraAPI.password", getServiceRefPropValue("CAMARAaaS - QoD Provisioning API - RFS", "serviceCharacteristicValue", "spec.camaraAPI.password"));
    setCharValFromStringType("camaraAPI.results", getServiceRefPropValue("CAMARAaaS - QoD Provisioning API - RFS", "serviceCharacteristicValue", "spec.camaraAPI.results"));

You can find the `_CR_SPEC` template used for both rules at `/QoDProvisioningAPI/OSLArtifacts/cr-template.yaml`.

After that, you may expose this service via OSL’s Service Catalog, and order it. When you order it, you will be prompted to configure some characteristics:

- messageBroker.address
- messageBroker.port
- messageBroker.username
- messageBroker.password
- serviceUnderControl.uuid

In `serviceUnderControl.uuid` you should input the UUID of the Service (in the Service Inventory) that you ordered before: the one that relates with the Dummy Operator. For this tutorial, we have used the following characteristic values:

Confirm that the service order was completed, both RFS and CFS Services are active, and a Custom Resource of type CAMARAaaS-QoDProvisiongAPI was created in your Kubernetes Cluster. See images below (`kubectl describe camaraaas-qod-provisioning-apis <name> -n <namespace>`)

Additionally, in OSL, you may see the URL where the QoD Provisioning API is exposed. To do so, please see the characteristics of the CAMARAaaS QoD Provisioning API CFS. See image below:

### 3. Validation

Now we can test if the two services are communicating. To do so, you should create a QoD Provisioning via the API that was just deployed. You may do that, using this command:

    # You must update the url to correspond to your API instance, found in camaraAPI.url highlighted in previous image.
    curl --location '{{camaraAPI.url}}/device-qos' \
    --header 'Content-Type: application/json' \
    --data-raw '{
      "device": {
        "phoneNumber": "+987654321",
        "networkAccessIdentifier": "987654321@example.org",
        "ipv4Address": {
          "publicAddress": "203.0.112.12",
          "publicPort": 59765
        },
        "ipv6Address": "2001:db8:85a3:8d3:1319:8a2e:370:7344"
      },
      "qosProfile": "QOS_PROFILE_A",
      "sink": "https://endpoint.example.com/"
    }'

You should have received a response similar to this one:

    {"device":{"phoneNumber":"+987654321","networkAccessIdentifier":"987654321@example.org","ipv4Address":{"publicAddress":"203.0.112.12","privateAddress":null,"publicPort":59765},"ipv6Address":"2001:db8:85a3:8d3:1319:8a2e:370:7344"},"qosProfile":"QOS_PROFILE_A","sink":"https://endpoint.example.com/","sinkCredential":{"credentialType":null},"provisioningId":"cb55f9e9-802e-4898-95f5-d1a5a2552483","startedAt":"2024-12-17T15:49:21.995399","status":"REQUESTED","statusInfo":null}

Now, if everything is working properly, the characteristics of the Dummy Operator Service you referenced should have been updated. You should now see these characteristics:

You may also query the QoD Provisioning API to check the status of your provisioning.

    curl --location '{{camaraAPI.url}}/device-qos/cb55f9e9-802e-4898-95f5-d1a5a2552483'
    # notice the "provisioningId":"cb55f9e9-802e-4898-95f5-d1a5a2552483" above

If you do so, you will receive the following response:

    {"device":{"phoneNumber":"+987654321","networkAccessIdentifier":"987654321@example.org","ipv4Address":{"publicAddress":"203.0.112.12","privateAddress":null,"publicPort":59765},"ipv6Address":"2001:db8:85a3:8d3:1319:8a2e:370:7344"},"qosProfile":"QOS_PROFILE_A","sink":"https://endpoint.example.com/","sinkCredential":{"credentialType":null},"provisioningId":"cb55f9e9-802e-4898-95f5-d1a5a2552483","startedAt":"2024-12-17T15:49:21.962746","status":"REQUESTED","statusInfo":null}

As there is no logic behind the Dummy Operator Service, the provisioning will remain with the status “REQUESTED”. However, we can simulate that Dummy Operator Service enforced a QOS enforcement, by patching its Custom Resource:

    kubectl patch dummy-operator-services <name> -n <namespace> \
    --type='json' -p='[{"op": "replace", "path": "/spec/camaraResults", "value": "[{\"device\": {\"ipv4Address\": {\"publicAddress\": \"203.0.112.12\", \"publicPort\": 59765}, \"ipv6Address\": \"2001:db8:85a3:8d3:1319:8a2e:370:7344\", \"networkAccessIdentifier\": \"987654321@example.org\", \"phoneNumber\": \"+987654321\"}, \"provisioningId\": \"cb55f9e9-802e-4898-95f5-d1a5a2552483\", \"qosProfile\": \"QOS_PROFILE_A\", \"sink\": \"https://endpoint.example.com/\", \"sinkCredential\": {}, \"status\": \"AVAILABLE\", \"startedAt\": \"2024-12-15T11:00:00Z\"}]"}]'

When you do this, the `camaraResults` characteristic in the Dummy Operator Service will be updated to:

After a while, if you check the characteristics of the CAMARAaaS QoD Provisioning API CFS, you will also see that the characteristic `camaraAPI.results` was updated.

Finally, execute this request again:

    curl --location '{{camaraAPI.url}}/device-qos/cb55f9e9-802e-4898-95f5-d1a5a2552483'
    # notice the "provisioningId":"cb55f9e9-802e-4898-95f5-d1a5a2552483" above

You should receive the following response.

    {"device":{"phoneNumber":"+987654321","networkAccessIdentifier":"987654321@example.org","ipv4Address":{"publicAddress":"203.0.112.12","privateAddress":null,"publicPort":59765},"ipv6Address":"2001:db8:85a3:8d3:1319:8a2e:370:7344"},"qosProfile":"QOS_PROFILE_A","sink":"https://endpoint.example.com/","sinkCredential":{"credentialType":null},"provisioningId":"cb55f9e9-802e-4898-95f5-d1a5a2552483","startedAt":"2024-12-15T11:00:00","status":"AVAILABLE","statusInfo":null}

Notice the `"status":"AVAILABLE"`. This means the 2 services are communicating.

Now, you just have to implement your own Kubernetes Operator for your 5G Core configuration, and you may use OSL’s CAMARAaaS Add-on to expose it through a CAMARA API.