description |
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How to setup a local and shared development environment |
Quick Start
- This instructions are made for MacOS and Linux
- An installed and running Blazegraph
- In order to download and run Blazegraph, please visit their official website.
- An installed and running MySQL
- You need to create empty table named operationaldb inside MySQL.
- You should have npm and Node.js (v16) installed
{% hint style="success" %} Need any assistance with node setup? Join the Discord chat and find help within the OriginTrail tech community! {% endhint %}
First, clone the ot-node repo by running:
git clone https://github.com/OriginTrail/ot-node
Navigate to it:
cd ot-node
Change the branch:
git checkout v8/develop
Then, install the required dependencies by running:
npm install
Next, create a file called .env
and add following lines:
NODE_ENV=development
RPC_ENDPOINT_BC1=http://127.0.0.1:8545
RPC_ENDPOINT_BC2=http://127.0.0.1:9545
In order to start the local DKG network, run the local network setup script to have multiple nodes running in local environment. It's recommended to run at least 12 nodes (1 bootstrap and 11 subsequent nodes) to ensure stability of operation.
{% hint style="warning" %} The scripts below only work for macOS and Linux (or Windows WSL). If you need help with the setup, contact the team on Discord. {% endhint %}
In order to start the local DKG network on macOS, run the following command:
bash tools/local-network-setup/setup-macos-environment.sh --nodes=12
For running the local DKG network on Linux, run the following command:
./tools/local-network-setup/setup-linux-environment.sh --nodes=12
For a shared development environment, we recommend deploying DKG V8 Testnet nodes - instructions can be found here.
These setup instructions for DKG v8 are a "Work in progress" and are subject to change. The development team expects to introduce improvements of setting up the DKGv8 node in local environment in the future.
As ot-node is open source, we happily invite you to join us in our mission of building the decentralized knowledge graph - we're excited for your contributions! Please visit the Github repo for more info.