Welcome to the documentation for Pantos Validator Node.
The Pantos Validator Node is responsible for validating cross-chain transfers on behalf of the users. To initiate a cross-chain token transfer, a client has to send a signed request to a service node. To find an appropriate service node, the client can query the PantosHub contract of the source blockchain. To enable this, each service node registers itself at the PantosHub contract of each source blockchain supported by the service node.
The Pantos Validator Node is split into two applications:
The web server application is responsible for the following:
- Serving signed (by the service node) bids.
- Accepting signed (by the user) transfer requests.
The celery application is responsible for the following:
- Updating the bids later served to the user through the web application.
- Submitting the signed transfer requests to the source blockchain.
We provide two ways to modify the app configuration, either through validator-node-config.env
or validator-node-config.yml
. We recommend using the .env
file, as the .conf
file is overwritten on every install.
While using the .env
file you need to be aware that any fields containing certain special characters need to be wrapped around single quotes (e.g. ETHEREUM_PRIVATE_KEY_PASSWORD='12$$#%R^'
).
The application will complain on startup should the configuration be incorrect.
There are two ways to install the apps using pre-built packages:
We provide Debian packages alongside every release, you can find them in the releases tab. Further information on how to use the service node packages can be found here.
We have a PPA hosted on GitHub, which can be accessed as follows:
curl -s --compressed "https://pantos-io.github.io/validatornode/KEY.gpg" | gpg --dearmor | sudo tee /etc/apt/trusted.gpg.d/validatornode.gpg >/dev/null
sudo curl -s --compressed -o /etc/apt/sources.list.d/pantos-validatornode.list "https://pantos-io.github.io/validatornode/pantos-validatornode.list"
sudo apt update
sudo apt install pantos-validator-node
We also distribute docker images in DockerHub with each release. These are made available under the pantosio project as either app or worker.
You can run a local setup with docker by doing the following steps:
- Enable swarm mode with
docker swarm init
. This is required because we're using theoverlay
network driver. - The variables
DB_URL
,CELERY_BACKEND
andCELERY_BROKER
are already defined in thedocker-compose.yml
- Modify the
.env
file to match your current setup - Ensure you have a
keystore
file located in the same directory - Run
docker compose up
Please note that you may need to add a load balancer or another webserver in front of this setup should you want to host this setup under a specific domain.
If you're hosting this on a cloud provider (AWS, GCP, Azure or alike), these are normally provided. You just need to point the load balancer to the port exposed by the app, 8080
, and configure the rest accordingly.
You can do local development with Docker by enabling dev mode (Docker watch mode). To do so, set the environment variable DEV_MODE
to true, like this:
DEV_MODE=true make docker
We support multiple local deployments, for example for testing purposes, you can run the stacks like this:
make docker INSTANCE_COUNT=<number of instances>
To remove all the stacks, run the following:
make docker-remove
Please note that this mode uses an incremental amount of resources and that Docker Desktop doesn't fully support displaying it, but it should be good enough to test multi-sig locally.
We distribute the package in test-pypi and pypi under the following projects: https://test.pypi.org/project/pantos-validator-node/ and https://pypi.org/project/pantos-validator-node/. You can install it to your project by using pip install pantos-validator-node
.
Please make sure that your environment meets the following requirements:
The Pantos Service Node supports Python 3.10 or higher. Ensure that you have the correct Python version installed before the installation steps. You can download the latest version of Python from the official Python website.
The Pantos Service Node has been tested with the library versions specified in poetry.lock.
Poetry is our tool of choice for dependency management and packaging.
Installing: https://python-poetry.org/docs/#installing-with-the-official-installer or https://python-poetry.org/docs/#installing-with-pipx
By default poetry creates the venv directory under under {cache-dir}/virtualenvs
. If you opt for creating the virtualenv inside the project’s root directory, execute the following command:
poetry config virtualenvs.in-project true
Create the virtual environment and install the dependencies:
$ poetry install --no-root
In order to run pre-commit before a commit is done, you have to install it:
pre-commit install --hook-type commit-msg -f && pre-commit install
Whenever you try to make a commit, the pre-commit steps are executed.
Run the following command from the repository's root directory:
make code
Launch the PostgreSQL interactive terminal:
sudo -u postgres psql
Create a Service Node user and three databases:
CREATE ROLE "pantos-validator-node" WITH LOGIN PASSWORD '<PASSWORD>';
CREATE DATABASE "pantos-validator-node" WITH OWNER "pantos-validator-node";
CREATE DATABASE "pantos-validator-node-celery" WITH OWNER "pantos-validator-node";
CREATE DATABASE "pantos-validator-node-test" WITH OWNER "pantos-validator-node";
Create a Service Node user and virtual host:
sudo rabbitmqctl add_user pantos-validator-node <PASSWORD>
sudo rabbitmqctl add_vhost pantos-validator-node
sudo rabbitmqctl set_permissions -p pantos-validator-node pantos-validator-node ".*" ".*" ".*"
For contributions take a look at our code of conduct.