CDS

Preparation for CDS tests

To enable CDS Enrichment in an ONAP Frankfurt environment the NodePort 30449 for the CDS Blueprint Processor API service needs to be opened

1. Check existing CDS Services:

   ubuntu@control01:~$ kubectl get service -n onap|grep cds-blueprints-processor-http
   cds-blueprints-processor-http      ClusterIP  10.43.101.198   <none>  8080/TCP
   

2. Change NodePort to CDS cds-blueprints-processor-http

   Add the “nodePort” under “ports” section and change “type” from “ClusterIP” to “NodePort”

   ubuntu@control01:~$ kubectl edit service cds-blueprints-processor-http -n onap
   
   apiVersion: v1
   kind: Service
   metadata:
     creationTimestamp: "2020-07-23T02:57:36Z"
     labels:
       app: cds-blueprints-processor
       chart: cds-blueprints-processor-6.0.0
       heritage: Tiller
       release: onap
     name: cds-blueprints-processor-http
     namespace: onap
     resourceVersion: "10256"
     selfLink: /api/v1/namespaces/onap/services/cds-blueprints-processor-http
     uid: 6f065c03-4563-4d64-b6f5-a8892226c909
   spec:
     clusterIP: 10.43.101.198
     ports:
     - name: blueprints-processor-http
       nodePort: 30449       -> add line
       port: 8080
       protocol: TCP
       targetPort: 8080
     selector:
       app: cds-blueprints-processor
       release: onap
     sessionAffinity: None
     type: ClusterIP -> change to NodePort
   status:
     loadBalancer: {}
   

3. Verify NodePort to CDS cds-blueprints-processor-http

   ubuntu@control01:~$ kubectl get service -n onap|grep cds-blueprints-processor-http
   cds-blueprints-processor-http      NodePort    10.43.101.198   <none> 8080:30449/TCP
   

4. Load ModelType via Bootstrap

   curl --location --request POST 'http://<k8s-host>:30449/api/v1/blueprint-model/bootstrap' \
   --header 'Content-Type: application/json' \
   --header 'Authorization: Basic Y2NzZGthcHBzOmNjc2RrYXBwcw==' \
   --data-raw '{
   "loadModelType" : true,
   "loadResourceDictionary" : false,
   "loadCBA" : false
   }'
   

Load blueprint from file

from onapsdk.cds import Blueprint
blueprint = Blueprint.load_from_file("<< path to CBA file >>")

Enrich blueprint and save

enriched_blueprint = blueprint.enrich()
enriched_blueprint.save("<< path to dest file >>")

Publish blueprint

enriched_blueprint.publish()

Generate data dictionary from blueprint

The method to generate data dictionaries based on the blueprint mappings. As the result it returns a data dictionaries set with valid structure, but some additional actions may be needed. Data dictionary input has to be filled by the user if the type is neither “source-input” nor “source-default”. Things, which are needed to be filled are marked by << FILL >> mark. If the blueprint you are using has only “source-input” or “source-default” input types, the generated data dictionary set is ready to upload to CDS.

generated_dd: DataDictionarySet = blueprint.get_data_dictionaries()
generated_dd.save_to_file("<< path to dest file >>")

Load data dictionary set from file

from onapsdk.cds import DataDictionarySet
dd_set = DataDictionarySet.load_from_file("<< path to dd file >>")

Upload data dictionary set

dd_set.upload()

Retrieve Blueprint Models from CDS

1. All

from onapsdk.cds import BlueprintModel
all_blueprint_models = BlueprintModel.get_all()

1. Selected by id of Blueprint Model

blueprint_model = BlueprintModel.get_by_id(blueprint_model_id='11111111-1111-1111-1111-111111111111')

1. Selected by name and version of Blueprint Model

blueprint_model = BlueprintModel.get_by_name_and_version(blueprint_name='test_name', blueprint_version='1.0.0')

Delete Blueprint Model

blueprint_model.delete()

Download Blueprint Model

blueprint_model.save(dst_file_path='/tmp/blueprint.zip')

Get Blueprint object for Blueprint Model

After that, all operation for blueprint object, like execute blueprint workflow etc. can be executed.

blueprint = blueprint_model.get_blueprint()