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Follow the steps below 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 :

mvn clean install

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

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 :

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

...

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.

$ 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

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:

• Follow https://v1-18.docs.kubernetes.io/docs/tasks/tools/install-kubectl/ to install the latest version of kubectl instead of the very old 1.15.11.
• No Need to 'Paste kubectl config rom Rancher' (not sure why that is even in those instructions)
• Skip 'helm install ons/onap' as the document mentions it is not available anymore

Install helm push plugin (before building the Helm repository)

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 :

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

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:

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.

...

Depending on you requirements there are several ways to setup CPS and Its dependencies:

1. Local Setup Using Docker
2. Local Setup Using CSIT
3. CPS Setup Using Minikube
4. 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.

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 

docker pull docker.io/shsubedi/ransimcontroller:v1

Use the following command to tag the image

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

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

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:

docker inspect -f '{{range.NetworkSettings.Networks}}{{.IPAddress}}{{end}}' <ransim_CONTAINER_ID>

• "ransimIp": <ransimIP>
• "ransimPort": 8081
• "hcIp": <ransimIP>
• "hcPort": 2831

...

• image: tragait/gnbsim:v1
  

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

docker-compose up -d

...

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. 

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. 

• File to be downloaded : docker.zip 

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

docker-compose up -d

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

docker network create test_network

Then run the following 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)

wsl --install

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

dism.exe /online /enable-feature /featurename:VirtualMachinePlatform /all /norestart

Download and install the Linux kernel update package

• WSL2 Linux kernel update package for x64 machines

Set WSL 2 as the default Linux distribution

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 

•  Docker Desktop 2.3.0.2

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

sudo apt update

Install Python3

sudo apt install python3

Install pip

sudo apt install python3-pip

Upgrade pip

sudo pip3 install --upgrade pip

Install Robot Framework

pip3 install robotframework

Install git

sudo apt install git

Install maven

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.

docker ps

If you see this error

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

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

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

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

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As part of this process docker containers are created for CPS-NCMP, NCMP-DMI-PLUGIN and SDNC, once the testing is finished these docker containers are stopped and removed.

To prevent these docker containers from being stopped as part of this process for any reason, within the teardown.sh script located in cps/csit/plans/cps comment out the following line.

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Potential issues

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

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

To resolve this, do the following:

Issue the following command

sudo apt install net-tools

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.

/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.

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

Change this to

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.

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

Error: could not open `{argLine}'

Process finished with exit code 1

Then review maven-surefire-plugin integration with Intellij:

...

1. Simulator Setup Locally
2. CPS-OOM Deployment for Kubernetes VM

Optional supporting setup guides:

• WSL Setup (Linux for Windows)