Fetch.ai fetchd repository
This repository contains the source code for validators on the Fetch network. The source is based on the wasmd variant of the Cosmos-SDK, which includes a virtual machine that compiles to WebAssembly. It contains Fetch.ai-specific updates required for the test networks and future mainne t, including a decentralized random beacon (DRB) and a novel, compact multi-signatures scheme. Versions of this repository are not currently syncrhonised with either wasmd or the Cosmos-SDK. Please refer to the releases section for the compatiblity with upstream versions.
Note: Requires Go 1.14+
Supported Systems
The supported systems are limited by the dlls created in go-cosmwasm. In particular, we only support MacOS and Linux.
For linux, the default is to build for glibc, and we cross-compile with CentOS 7 to provide
backwards compatibility for glibc 2.12+. This includes all known supported distributions
using glibc (CentOS 7 uses 2.12, obsolete Debian Jessy uses 2.19).
As of 0.5.x we support muslc Linux systems, in particular Alpine linux,
which is popular in docker distributions. Note that we do not store the
static muslc build in the repo, so you must compile this yourself, and pass -tags muslc.
Please look at the Dockerfile for an example of how we build a static Go
binary for muslc. (Or just use this Dockerfile for your production setup).
Quick Start
Pre Requisites for Ubuntu / Debian
# Ubuntu/Debian based linux distro dependencies
apt install swig libboost-all-dev libgmp-dev
cd ~/Downloads
wget https://github.com/herumi/mcl/archive/v1.05.tar.gz
tar xvf v1.05.tar.gz
cd mcl-1.05
make install
ldconfig
Pre Requisites for MacOS
# OS X dependencies
brew install swig boost gmp
cd ~/Downloads
wget https://github.com/herumi/mcl/archive/v1.05.tar.gz
tar xvf v1.05.tar.gz
cd mcl-1.05
make install
Building and testing the project
After installing the reuired dependencies, install golang and execute the following commands:
make install
make test
If you are using a linux without X or headless linux, look at this article or #31.
Run a simple local test network
The easiest way to get started with a simple network is to run the docker-compose. The details of this can be found here. By default it will launch a small 5 validator node network.