Installation Guide¶

Contents¶

System Requirements and Dependencies
Standard Installation
Docker Installation
Development Installation
Running Ursula with Systemd

System Requirements and Dependencies¶

At least 1 GB of RAM is required for secure password-based key derivation with scrypt.
We have tested nucypher with Windows, Mac OS, and GNU/Linux (GNU/Linux is recommended).
If you don’t already have it, install Python. As of October 2019, we are working with Python 3.6 and 3.7.
We also require the following system packages (Linux):
- libffi-dev
- python3-dev
- python3-virtualenv

Standard Installation¶

We recommend installing nucypher with either pip, pipenv, or docker

Standard Pip Installation¶

In order to isolate global system dependencies from nucypher-specific dependencies, we highly recommend using python-virtualenv to install nucypher inside a dedicated virtual environment.

For full documentation on virtualenv see: https://virtualenv.pypa.io/en/latest/

Here is the recommended procedure for setting up nucypher in this fashion:

Create a Virtual Environment
```
$ virtualenv /your/path/nucypher-venv
...
```
Activate the newly created virtual environment:
```
$ source /your/path/nucypher-venv/bin/activate
...
$(nucypher-venv)
```
Note

Successful virtualenv activation is indicated by ‘(nucypher-venv)$’ prepended to your console’s prompt

Install Application Code with Pip

$(nucypher-venv) pip3 install -U nucypher

Verify Installation

In the console:
```
nucypher --help
```
In Python:
```
import nucypher
```

Standard Pipenv Installation¶

Install Application code with Pipenv

Ensure you have pipenv installed (See full documentation for pipenv here: Pipenv Documentation). Then to install nucypher with pipenv, run:
```
$ pipenv install nucypher
```
Verify Installation

In the console:
```
nucypher --help
```
In Python:
```
import nucypher
```

Docker Installation¶

Install Docker
(Optional) Follow these post install instructions: https://docs.docker.com/install/linux/linux-postinstall/
Get the latest nucypher image:

docker pull nucypher/nucypher:latest

That’s it. Now you can run commands like docker run -v /home/ubuntu:/root/.local/share/ nucypher/nucypher:latest nucypher alice init

Note the volume mounts. -v <path to a directory on your computer>:/root/.local/share/ This is important because it allows your Nucypher node to store persistent data as well as commonly access ipc with a locally running geth node.

Development Installation¶

Additional dependencies and setup steps are required to perform a “developer installation”. Ensure you have git installed (Git Documentation).

Acquire NuCypher Codebase¶

Fork the nucypher repository on GitHub, as explained in the Contribution Guide, then clone your fork’s repository to your local machine:

$ git clone https://github.com/<YOUR_GITHUB_USERNAME>/nucypher.git

After acquiring a local copy of the application code, you will need to install the project dependencies, we recommend using either pip or pipenv

Pipenv Development Installation¶

The most common development installation method is using pipenv:

$ pipenv install --dev --three --skip-lock --pre

Activate the pipenv shell

$ pipenv shell

If this is successful, your terminal command prompt will be prepended with (nucypher)

Install the Solidity compiler (solc):

$(nucypher) pipenv run install-solc

Pip Development Installation¶

Alternately, you can install the development dependencies with pip:

$ pip3 install -e .[development]
$ ./scripts/installation/install_solc.sh

Development Docker Installation¶

The intention of the Docker configurations in this directory is to enable anyone to develop and test NuCypher on all major operating systems with minimal prerequisites and installation hassle (tested on Ubuntu 16, MacOS 10.14, Windows 10).

Start with standard Docker Installation¶

Install Docker
Install Docker Compose
cd to `dev/docker
Run docker-compose up --build this must be done once to complete install

Running NuCypher¶

Then you can do things like:

Run the tests: docker-compose run nucypher-dev pytest
Start up an Ursula: docker-compose run nucypher-dev nucypher ursula run --dev --federated-only
Open a shell: docker-compose run nucypher-dev bash
Try some of the scripts in dev/docker/scripts/

From there you can develop, modify code, test as normal.

Other cases¶

Run a network of 8 independent Ursulas docker-compose -f 8-federated-ursulas.yml up
Get the local ports these ursulas will be exposed on docker ps
To stop them… docker-compose -f 8-federated-ursulas.yml stop

Systemd Service Installation¶

Use this template to create a file named ursula.service and place it in /etc/systemd/system/.
```
[Unit]
Description="Run 'Ursula', a NuCypher Staking Node."

[Service]
User=<YOUR USER>
Type=simple
Environment="NUCYPHER_KEYRING_PASSWORD=<YOUR PASSWORD>"
ExecStart=<VIRTUALENV PATH>/bin/nucypher ursula run --teacher <SEEDNODE_URI>

[Install]
WantedBy=multi-user.target
```
Replace the following values with your own:
- <YOUR_USER> - The host system’s username to run the process with
- <YOUR_PASSWORD> - Ursula’s keyring password
- <VIRTUALENV_PATH> - The absolute path to the python virtual environment containing the nucypher executable
- <SEEDNODE_URI> - A seednode URI of a node on the network you are connecting to
Enable Ursula System Service
```
$ sudo systemctl enable ursula
```
Run Ursula System Service

To start Ursula services using systemd
```
$ sudo systemctl start ursula
```
Check Ursula service status
```
$ sudo systemctl status ursula
```
To restart your node service
```
$ sudo systemctl restart ursula
```