This page details how to execute the demo that was recorded on the 14th of April 2021 at the DCAE meeting. The demo illustrates the flow of the control loop participant architecture and how it will create and manage services. Specifically, this demo shows the use of the control loop runtime's commissioning and instantiation API to trigger the deployment of the PMSH policy through the policy participant and the instantiation of the PMSH service through the DCAE participant. The DCAE participant uses the existing CLAMP backend to send requests and relay responses to the other participants and the runtime. This demonstration is not to be considered a reflection of the final implemented flow but merely as an indication of the currently implemented progress. The flow of the demo is shown in the image below.
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Prerequisites
- Local environment running Ubuntu. Tested with Ubuntu 20.04
- Access to a Kubernetes Cluster running an ONAP deployment (version 7 or 8).
- Docker and Docker Compose installed locally.
- Java 11.
- A running CLAMP backend (connected to the Kubernetes cluster) with a local MariaDB database. This is running from commit ebc6907968050189688a0b8ccc0e0c42419a9202 on the master branch.
- npm 7.9.0
- node 10.9.0
- Angular 11
- Google Chrome
- POSTMAN
Setup CLAMP and MariaDB
Alterations to CLAMP
Some files need to be added to CLAMP in order for the demo to run successfully. These files include configuration files for Springboot and scripts to pre-populate the database.
- Add the PMSH template file to "extra/sql/dump/k8s-pmsh-bp.yaml". The file is available here k8s-pmsh-bp.yaml.
- There should be an SQL script in "extra/sql/dump/poc-test-data.sql". The file is available here poc-test-data.sql.
- The file at "extra/sql/dump/load-fake-data.sh" needs to be altered to refer to "poc-test-data.sql". The altered version is here load-fake-data.sh.
- For conveneince, one can alter the docker-compose file at "extra/docker/clamp/docker-compose.yml" to match the one provided here docker-compose.yml. This is not strictly needed but makes it easier to delete volumes during the docker container deployment.
- The Springboot properties file at "src/main/resources/application-noaaf.properties" should be altered to reflect to addresses and ports of your own Kubernetes cluster. By default, this properties file does not point to any cluster. For our case, we altered our local "/etc/hosts" file to associate hostnames with ip addresses - we then manually entered the relevant NodePorts into the properties file. An example is here application-noaaf.properties.
Build CLAMP
Run the following from the command line in the CLAMP root directory.
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mvn clean install |
Or for a faster build and if you encounter build errors
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mvn clean install -DskipITs |
Run and Pre-populate MariaDB
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cd extra/bin-for-dev ./start-db.sh test |
This should start and pre-populate the database. You can check the database with a suitable client to make sure if you wish. You can make sure the DB is running with:
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docker ps |
That's all for the database.
Start the CLAMP Backend
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cd extra/bin-for-dev ./start-backend.sh |
Note that you may need to run this with sudo.
Setup and Run DMAAP Simulator
DMAAP is required for communication between the runtime and participants. Here we outline how to setup and run the simulator. This should be done on another terminal.
Clone, Build and Run DMAAP Simulator
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git clone "ssh://saul.gill@gerrit.nordix.org:29418/onap/policy/models" cd models mvn clean install |
Then to run it
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cd models-sim/models-sim-dmaap mvn exec:java -Dexec.mainClass=org.onap.policy.models.sim.dmaap.startstop.Main -Dexec.args="-c src/main/resources/etc/DefaultConfig.json" |
Setup and Run Policy API
The Policy Api is required locally by the Policy Participant. Carry out these actions on another terminal.
Clone, Build and Run the Policy API
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git clone "ssh://saul.gill@gerrit.nordix.org:29418/onap/policy/api" cd api mvn clean install |
The PolicyAPIConfig.json file for running the policy API for the demo is present in the clamp tosca-poc-nordix branch. The new configuration has also been provided here PolicyAPIConfig.json.
Then we can run the Policy API.
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cd main mvn exec:java -Dexec.mainClass=org.onap.policy.api.main.startstop.Main -Dexec.args=" -c /YOUR_PATH_TO_CLAMP/clamp/tosca-controlloop/common/src/test/resources/demo/config/PolicyAPIConfig.json" |
Setup and Run Participant Runtime
The participant runtime is where the deployment of PMSH will be triggered. It contains the commissioning and instantiation APIs referred to in the diagram above.
If you haven't already done so, get a fresh clone of the tosca-poc-nordix branch of CLAMP. These actions should be carried out in a new terminal
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git clone -b tosca-poc-nordix "ssh://saul.gill@gerrit.nordix.org:29418/onap/policy/clamp" |
Build the project from the "tosca-controlloop" folder
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cd clamp/tosca-controlloop mvn clean install |
This builds the runtime but also build the participant modules that we will be running later.
Run the participant runtime.
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cd runtime mvn exec:java -Dexec.mainClass=org.onap.policy.clamp.controlloop.runtime.main.startstop.Main -Dexec.args=" -c ../common/src/test/resources/demo/config/RuntimeConfig.json" |
This should now be running
Setup and Run Policy Participant
The policy participant interacts with the policy api to create policies and policy types. On a separate terminal, you should run the policy participant.
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cd clamp/tosca-controlloop/participant/participant-impl/participant-impl-policy mvn exec:java -Dexec.mainClass=org.onap.policy.clamp.controlloop.participant.policy.main.startstop.Main -Dexec.args=" -c ../../../common/src/test/resources/demo/config/PolicyParticipantConfig.json" |
This should now be running.
Setup and Run the DCAE Participant
The DCAE participant will interact with DCAE through the CLAMP backend. Setup and run as below in a new terminal.
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cd clamp/tosca-controlloop/participant/participant-impl/participant-impl-dcae mvn exec:java -Dexec.mainClass=org.onap.policy.clamp.controlloop.participant.dcae.main.startstop.Main -Dexec.args=" -c src/main/resources/config/DCAEParticipantConfig.json" |
The DCAE Participant should now be running.
Setup and Start the Angular UI
A simple user interface has been designed to monitor the status of the control loops and the control loop elements. It interacts with the the runtime to get status information and display it to the user. Do the following in a new terminal.
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git clone https://github.com/brunomilitzer/TOSCA_ControlLoop.git cd TOSCA_ControlLoop npm install |
The "npm install" will install the dependencies of the Angular UI. Then we can run it.
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ng serve |
The UI should now be available at http://localhost:4200. However, to avoid CORS errors we will need to run Google Chrome with disabled security. The below command should be executed in a new terminal.
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mkdir custom-chrome cd custom-chrome google-chrome --disable-web-security --user-data-dir="/YOUR_PATH/custom-chrome" |
Then you can navigate to http://localhost:4200 in the new chrome window. The UI should be displayed.
POSTMAN Setup and Running
There is a POSTMAN collection that is used for sending calls to the commissioning and instantiation API. It should be present in the tosca-poc-nordix branch here: "tosca-controlloop/common/src/test/resources/demo/config/DEMO.postman_collection.json". Is is also provided here for convenience: DEMO.postman_collection.json. This collection should be imported into your local POSTMAN. Once that is done, we should able to start issuing calls to the running components.
First, we send the Tosca service template to the commissioning API. Find the below query in the POSTMAN collection and send. The response should be a 200OK.
Next, we can make a call to create an instantiation of the control loop and elements. A successful call will mean that we are ready to move the loops and elements into the PASSIVE state. Find the blow query in the POSTMAN collection and send.
This again should return a 200OK from the instantiation API. As a final step for deployment of our PMSH instance, we need to set the control loop into the PASSIVE state. Find the PUT call below in the POSTMAN collection and send.
This call should return a 202 Accepted status. Once this call is made, we can make a GET call to the Instantiation endpoint to see the instantiated control loops. This call is included in the POSTMAN collection. If everything worked correctly. The states should be in passive and we should see the PMSH instance start to come up on the Kubernetes cluster.