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Table of Contents

Follow the steps below Depending on you requirements there are several ways to setup the CPS environment. 

Checkout the project

Checkout https://gerrit.onap.org/r/admin/repos/cps

Building the project

When building the project run from the root cps folder :

Code Block
mvn clean install

From docker-compose folder run the following after building the images locally :

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languagebash
VERSION=latest DB_USERNAME=cps DB_PASSWORD=cps docker-compose up -d

This starts both cps and postgres containers.

Note: Checkout the README.md in docker-compose folder for detailed steps.

Setup schema in DB

Liquibase auto creates the schema on startup.

Set environment variables with relevant connection details which can be found in application.yml in cps-application/resources folder.

Running the project

This option is if you have  a local PostgreSQL running.

From the cps folder run the following command :

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java -DDB_HOST=localhost -DDB_USERNAME=cps -DDB_PASSWORD=cps -jar cps-application/target/cps-application-x.y.z-SNAPSHOT.jar

...

Code Block
mvn spring-boot:run

Running CPS via Helm charts on Minikube :

WSL Checks (when using WSL2 on MS Windows)

Check that your WSL 2 environment is running both linux distribution and docker using a windows command prompt/shell
*It might be needed to configure for Windows is configured for WSL 2 and WSL itself is set to use your linux distribution as default.

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languagebash
titleWSL Check
$ wsl -l -v
  NAME                   STATE           VERSION
* Ubuntu-20.04           Running         2
  docker-desktop         Running         2
  docker-desktop-data    Running         2

When using WSL 2ensure to open a WSL shell window ie. Command Prompt, wsl ...

Install MiniKube

Install and start MiniKube

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titleInstall and Start MiniKube
curl -LO https://storage.googleapis.com/minikube/releases/latest/minikube-linux-amd64
sudo install minikube-linux-amd64 /usr/local/bin/minikube
minikube start

Install Kubectl and Helm and Helm Repo 

To setup kubectl and helm for ONAP locally  follow steps as outlined in the deploy section on - https://docs.onap.org/projects/onap-oom/en/latest/oom_user_guide.html#deploy

Please note the following amendments to the above instructions:

Install helm push plugin (before building the Helm repository)

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titleInstall Helm Push Plugin
helm plugin install https://github.com/chartmuseum/helm-push.git

After following the steps above ensure your local repo has the charts loaded onto it :

and Its dependencies:

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helm search repo local
NAME CHART VERSION APP VERSION DESCRIPTION
local/a1policymanagement 8.0.0 1.0.0 A Helm chart for A1 Policy Management Service
local/aaf 8.0.0 ONAP Application Authorization Framework
local/aai 8.0.0 ONAP Active and Available Inventory
local/appc 8.0.0 Application Controller
...
local/contrib 8.0.0 ONAP optional tools
local/cps 8.0.0 Configuration Persistance Service (CPS)

Deploy CPS

To install CPS only, run the following command from within the oom/kubernetes/cps folder

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titleInstall CPS using Helm
cd <your git repo>/oom/kubernetes/cps
helm upgrade dev1 local/cps -i -f values.yaml --set global.masterPassword=mysecr

Once you chart is deployed, we can test it by hitting the spring actuator endpoint from a pod:

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titleTest CPS is alive
kubectl run -it network-multitool-$USER --image=praqma/network-multitool --restart=Never --rm -- bash

curl -X GET "http://cps:8080/manage/health" -H "accept: application/json" -H "Content-Type: application/json"

Note. This was tested on windows using WSL2 with Ubuntu 20.04 but any similar environment should suffice.

...

  1. Local Setup Using Docker
  2. Local Setup Using CSIT
  3. CPS Setup Using Minikube
  1. SDNC, RAN-sim controller and Honeycomb

...

SDNC setup

To setup SDNC, firstly download these 2 files:

  1. certs.tar
  2. docker-compose.yml

Unzip certs.tar to the same folder as where you put the downloaded, docker-compose.yml file.

From the same folder as above, run the following command to setup SDNC.

Code Block
languagebash
titleDocker command
docker-compose up -d

SDNC should be up, when this command has ran successfully. 

RAN-sim controller setup

To set up RAN-sim controller follow the steps provided in this page RAN-Sim setup or use the steps below.

...

Pull the pre-built docker image using the command 

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titleDocker pull command for ransim controller
docker pull docker.io/shsubedi/ransimcontroller:v1

Use the following command to tag the image

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titleDocker tag command
docker tag shsubedi/ransimcontroller:v1 onap/ransim:1.0.0-SNAPSHOT

...

Modify the docker-compose.yml file, update the SDNR_IP and SDNR_PORT
To get the SDNR_IP, run the following command

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titleInspect SDNC ip
docker inspect -f '{{range.NetworkSettings.Networks}}{{.IPAddress}}{{end}}' <SDNC_CONTAINER_ID>

...

Honeycomb simulator setup

To set up the Honeycomb simulator, follow the steps below or the steps in this page Core & RAN Simulators.

Pull the custom honeycomb docker image using the command

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languagebash
titleDocker pull command
docker pull docker.io/tragait/gnbsim:v1

...

Update ransim and honeycom IP address at '<YOUR_DIRECTORY>/ran-sim/hcsim-content/gnbsim/hc/config/gnbsim.json'
Make sure the following are updated to.
To get the ransimIp and hcIp do the following:

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languagebash
titleInspect ransim ip
docker inspect -f '{{range.NetworkSettings.Networks}}{{.IPAddress}}{{end}}' <ransim_CONTAINER_ID>
  • "ransimIp": <ransimIP>
  • "ransimPort": 8081
  • "hcIp": <ransimIP>
  • "hcPort": 2831

...

  • image: tragait/gnbsim:v1
  1. Simulator Setup Locally
  2. CPS-OOM Deployment for Kubernetes VM

Optional supporting setup guides:

Run the below command from '<YOUR_DIRECTORY>/ran-sim/hcsim-content/gnbsim/hc' directory

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languagebash
titleDocker compose up command
docker-compose up -d

...

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titleInspect hc ip
docker inspect -f '{{range.NetworkSettings.Networks}}{{.IPAddress}}{{end}}' <hc_CONTAINER_ID>

Make sure to modify the below curl command, replace HC_SIM_IP with the ip retrieved from previous command.
Note. If using WSL 2  then the HC_SIM_IP in the below curl command can be replaced with ip address got from doing : 

wsl hostname -I in the windows powershell. 

Code Block
languagebash
titleHC sim mount command
curl -i -X PUT http://localhost:8282/restconf/config/network-topology:network-topology/topology/topology-netconf/node/hc -k -H 'Accept: application/xml' -H 'Content-Type: text/xml' --user "admin":"Kp8bJ4SXszM0WXlhak3eHlcse2gAw84vaoGGmJvUy2U"  -d '<node xmlns="urn:TBD:params:xml:ns:yang:network-topology"> <node-id>hc</node-id> <host xmlns="urn:opendaylight:netconf-node-topology">HC_SIM_IP</host>  <port xmlns="urn:opendaylight:netconf-node-topology">2831</port>  <username xmlns="urn:opendaylight:netconf-node-topology">admin</username>  <password xmlns="urn:opendaylight:netconf-node-topology">admin</password>  <tcp-only xmlns="urn:opendaylight:netconf-node-topology">false</tcp-only>  <!-- non-mandatory fields with default values, you can safely remove these if you do not wish to override any of these values-->  <reconnect-on-changed-schema xmlns="urn:opendaylight:netconf-node-topology">false</reconnect-on-changed-schema>  <connection-timeout-millis xmlns="urn:opendaylight:netconf-node-topology">20000</connection-timeout-millis>  <max-connection-attempts xmlns="urn:opendaylight:netconf-node-topology">0</max-connection-attempts>  <between-attempts-timeout-millis xmlns="urn:opendaylight:netconf-node-topology">2000</between-attempts-timeout-millis>  <sleep-factor xmlns="urn:opendaylight:netconf-node-topology">1.5</sleep-factor>  <!-- keepalive-delay set to 0 turns off keepalives-->  <keepalive-delay xmlns="urn:opendaylight:netconf-node-topology">120</keepalive-delay></node>'

...

Once the above steps have been completed, check if the honeycomb simulator has been mounted in SDNC by going to the following link and clicking on the Mounted Resources section:
 http://localhost:8282/apidoc/explorer/index.html
Note. If using WSL 2 then the localhost can be replaced with ip address got from doing :
wsl hostname -I in the windows powershell. 

  • Credentials  : - admin / Kp8bJ4SXszM0WXlhak3eHlcse2gAw84vaoGGmJvUy2U

Setting up SDNC, CPS & NCMP, DMI-Plugin and netconf-pnp-simulator locally:

Download the following zip file and extract it. 

Navigate to the folder where the files were extracted and run the below command from '<sim/>' directory

Code Block
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titleDocker compose command from sim folder
docker-compose up -d

Then navigate to the folder where the files were extracted and run the below command.

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languagebash
titleCreate a docker network
docker network create test_network

Then run the following command.

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titledocker compose command
docker-compose up -d

Check using 'docker container ls' that SDNC, CPS&NCMP, DMI-Plugin and netconf-pnp-simulator are up and running.

Running CSIT tests locally within CPS

If using Windows, first install WSL using the following command within Powershell as an administrator and restart your machine (If using a Linux environment, these steps can be skipped)

Code Block
languagebash
titleDocker compose command from sim folder
wsl --install

Enable WSL 2 and run the following command within Powershell as an administrator and restart your machine.

Code Block
languagebash
titleDocker compose command from sim folder
dism.exe /online /enable-feature /featurename:VirtualMachinePlatform /all /norestart

Download and install the Linux kernel update package

Set WSL 2 as the default Linux distribution

Code Block
languagebash
titleDocker compose command from sim folder
wsl --set-default-version 2

Install Ubuntu 20.04 for Windows from the Microsoft store

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Once this is launched, it will then install the Ubuntu Machine, this may take a few minutes.

You will need to set your Unix Username and Password.

  • Remember your password, you will need it for SUDO commands!

Next step is to setup docker desktop with WSL2

Download and install docker desktop at 

Once docker desktop is installed go to Settings>General and check 'Use the WSL 2 based engine'. Click apply and restart

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Once restated, go to Settings>Resources>WSL Integration and check 'Enable Integration with my default WSL distro' and enable your integration

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Click Apply & Restart

From your Linux/WSL terminal

Update package index

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sudo apt update

Install Python3

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sudo apt install python3

Install pip

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sudo apt install python3-pip

Upgrade pip

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sudo pip3 install --upgrade pip

Install Robot Framework

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pip3 install robotframework

Install git

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sudo apt install git

Install maven

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sudo apt install maven

Clone CPS and Dmi Plugin repos to home directory

Note - You will need to set up your ssh key as outlined here Setting Up Your Development Environment

Copy the settings.xml file from the oparent repo to your .m2 folder located within your home directory

Note - This folder will be hidden, but it should exist once you have maven installed!

Verify the docker daemon is accepting connections.

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docker ps

If you see this error

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Got permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.24/containers/json": dial unix /var/run/docker.sock: connect: permission denied

Issue the following command

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languagebash
sudo chmod 666 /var/run/docker.sock

Do a mvn clean install on both directories to pull down the necessary libraries from the POM.

Navigate to csit directory.

Run the following script

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languagebash
sudo bash run-project-csit.sh

Note - The first time this runs it will download all the libraries defined in the CSTI scripts. This may take awhile be patient (smile)

Once the scripts have run, the output should look like the following

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Potential issues

This issue may also appear when running the scripts from a windows WSL environment

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Error response from daemon: invalid IP address in add-host: ""

To resolve this, do the following:

Issue the following command

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sudo apt install net-tools
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ifconfig

From the eth0 configuration take the inet address

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And manually add this address to the LOCAL_IP variable within the setup.sh script located in the following directory cps/csit/plans/cps

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Save this configuration.

Run scripts again.

If your tests don't run after doing this, as seen above check for this error.

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/tmp/tmp.rgIeMxiRCGrobot_venv/bin/python: Error while finding module specification for 'robot.run' (ModuleNotFoundError: No module named 'robot')

In the file run-csit.sh located within the cps/csit directory

Look for the following line.

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languagebash
python -m robot.run -N ${TESTPLAN} -v WORKSPACE:/tmp ${ROBOT_VARIABLES} ${TESTOPTIONS} ${SUITES}

Change this to

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python3 -m robot.run -N ${TESTPLAN} -v WORKSPACE:/tmp ${ROBOT_VARIABLES} ${TESTOPTIONS} ${SUITES}

Run scripts again

If there is further issues downloading libraries due to the system date being out of sync with windows issue the following command and run the scripts again.

Code Block
languagebash
sudo hwclock --hctosys

FAQ

How to fix "Error: could not open `{argLine}'when running unit tests from Intellij IDE ?

If not able to run unit tests from Intellj unit tests tool because of this error

Code Block
languagetext
Error: could not open `{argLine}'

Process finished with exit code 1

Then review maven-surefire-plugin integration with Intellij:

  • Go to Settings-> Build,Execution,Deployment -> Build Tools -> Maven -> Running Tests
  • Uncheck argLine