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Validation & Verification Platform Installation Guide

The V&V Platform is the component of 5GTANGO responsible for validation and the verification of services using the supplied service tests.

Install Steps

To install and configure V&V follow these instructions:

Recommended Server requirements to deploy V&V

  • CPU: 4 cores
  • Memory: 8 GB
  • Disk: 80 GB

Docker Installation

sudo apt-get update
sudo apt-get install \
    apt-transport-https \
    ca-certificates \
    curl \
    software-properties-common
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo add-apt-repository \
   "deb [arch=amd64] https://download.docker.com/linux/ubuntu \
   $(lsb_release -cs) \
   stable"
sudo apt-get update
sudo apt-get install docker-ce

Git installation

sudo apt-get install git

Installing V&V

Installing from code

To have it up and running from code, please do the following:

$ git clone https://github.com/sonata-nfv/tng-vnv-lcm.git # Clone this repository
$ cd tng-vnv # Go to the newly created folder
$ bundle install # Install dependencies
$ PORT=5000 bundle exec rackup # dev server at http://localhost:5000

Everything being fine, you'll have a server running on that session, on port 5000. You can use it by using curl, like in:

$ curl <host name>:5000/

Installing from the Docker container

In case you prefer a docker based development, you can run the following commands (bash shell):

$ docker network create tango
$ docker run -d -p 27017:27017 --net=tango --name mongo mongo
$ docker run -d -p 4011:4011 --net=tango --name tng-cat sonatanfv/tng-cat:dev
$ docker run -d -p 4012:4012 --net=tango --name tng-rep sonatanfv/tng-rep:dev
$ docker run -d -p 5000:5000 --net=tango --name tng-gtk-vnv \
  -e CATALOGUE_URL=http://tng-cat:4011/catalogues/api/v2 \
  -e REPOSITORY_URL=http://tng-cat:4012 \
  sonatanfv/tng-gtk-vnv:dev

###Verify that V&V is running

$ docker inspect -f '{{.State.Running}}' tng-gtk-vnv
$ docker inspect -f '{{.State.Running}}' tng-vnv-lcm
$ docker inspect -f '{{.State.Running}}' tng-vnv-tee
$ docker inspect -f '{{.State.Running}}' tng-vnv-platform-adapter