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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
#. Check existing CDS Services:
.. code-block:: sh
ubuntu@control01:~$ kubectl get service -n onap|grep cds-blueprints-processor-http
cds-blueprints-processor-http ClusterIP 10.43.101.198 <none> 8080/TCP
#. Change NodePort to CDS cds-blueprints-processor-http
Add the "nodePort" under "ports" section
and change "type" from "ClusterIP" to "NodePort"
.. code-block:: sh
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: {}
#. Verify NodePort to CDS cds-blueprints-processor-http
.. code-block:: sh
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
#. Load ModelType via Bootstrap
.. code-block:: sh
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
------------------------
.. code:: Python
from onapsdk.cds import Blueprint
blueprint = Blueprint.load_from_file("<< path to CBA file >>")
Enrich blueprint and save
-------------------------
.. code:: Python
enriched_blueprint = blueprint.enrich()
enriched_blueprint.save("<< path to dest file >>")
Publish blueprint
-----------------
.. code:: Python
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.
.. code:: Python
generated_dd: DataDictionarySet = blueprint.get_data_dictionaries()
generated_dd.save_to_file("<< path to dest file >>")
Load data dictionary set from file
----------------------------------
.. code:: Python
from onapsdk.cds import DataDictionarySet
dd_set = DataDictionarySet.load_from_file("<< path to dd file >>")
Upload data dictionary set
--------------------------
.. code:: Python
dd_set.upload()
Retrieve Blueprint Models from CDS
--------------------------
#. All
.. code:: Python
from onapsdk.cds import BlueprintModel
all_blueprint_models = BlueprintModel.get_all()
#. Selected by id of Blueprint Model
.. code:: Python
blueprint_model = BlueprintModel.get_by_id(blueprint_model_id='11111111-1111-1111-1111-111111111111')
#. Selected by name and version of Blueprint Model
.. code:: Python
blueprint_model = BlueprintModel.get_by_name_and_version(blueprint_name='test_name', blueprint_version='1.0.0')
Delete Blueprint Model
--------------------------
.. code:: Python
blueprint_model.delete()
Download Blueprint Model
--------------------------
.. code:: Python
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.
.. code:: Python
blueprint = blueprint_model.get_blueprint()
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