Keeper for Ricochet Protocol, implemented with Apache Airflow

Overview

Ricochet Keeper

This repository contains Apache Airflow DAGs for executing keeper operations for Ricochet Exchange.

Usage

You will need to run this using Docker and Docker Compose.

docker-compose up

ℹ️ This will take a while the first time you do it ⚠️ You may need to increase your Docker memory to > 4GB, default is 2GB

Setup

After starting up Airflow, navigate to Admin > Connections and setup the following:

  • A HTTP connection called infura with the connection's Extra as:
{
"http_endpoint_uri": "YOUR_INFURA_HTTP_URI",
"wss_endpoint_uri": "YOUR_INFURA_WSS_URI"
}
  • Navigate to Admin > Variables and add the following:
    • distributor-address - the address used for executing distribute transactions
    • harvester-address - the address used for executing harvest transactions
    • reporter-address - the address used for reporting to Tellor
    • closer-address - the address used for closing streams
    • ricochet-exchange-addresses - add these addresses to value field:
    [ "0xeb367F6a0DDd531666D778BC096d212a235a6f78", "0x27C7D067A0C143990EC6ed2772E7136Cfcfaecd6", "0x5786D3754443C0D3D1DdEA5bB550ccc476FdF11D", "0xe0A0ec8dee2f73943A6b731a2e11484916f45D44", "0x8082Ab2f4E220dAd92689F3682F3e7a42b206B42", "0x3941e2E89f7047E0AC7B9CcE18fBe90927a32100", "0x71f649EB05AA48cF8d92328D1C486B7d9fDbfF6b", "0x47de4Fd666373Ca4A793e2E0e7F995Ea7D3c9A29", "0x94e5b18309066dd1E5aE97628afC9d4d7EB58161", "0xdc19ed26aD3a544e729B72B50b518a231cBAD9Ab", "0xC89583Fa7B84d81FE54c1339ce3fEb10De8B4C96", "0x9BEf427fa1fF5269b824eeD9415F7622b81244f5", "0x0A70Fbb45bc8c70fb94d8678b92686Bb69dEA3c3", "0x93D2d0812C9856141B080e9Ef6E97c7A7b342d7F", "0xE093D8A4269CE5C91cD9389A0646bAdAB2c8D9A3", "0xA152715dF800dB5926598917A6eF3702308bcB7e", "0x250efbB94De68dD165bD6c98e804E08153Eb91c6", "0x98d463A3F29F259E67176482eB15107F364c7E18" ]
    
    • ricochet-lp-addresses - the addresses of markets with harvest methods
    [ "0x0cb9cd99dbC614d9a0B31c9014185DfbBe392eb5"]
    
    • tellor-assets - the mapping of Coingecko token names and their Tellor request ID
    {
      "ethereum": 1,
      "wrapped-bitcoin": 60,
      "maker": 5,
      "matic-network": 6,
      "idle": 79
    }
    
  • Create an HTTP for each of the public addresses you used in the previous step:
    • Set the name this connection as the public address
    • Set the Login to the public address
    • Set the Password to the private key for the public address

Run

Run the keeper using Docker Compose

docker-compose up

Airflow runs on port 80 so navigate to http://localhost to access the UI. Once things have booted up, log in with username airflow and password airflow.

Run as daemon

Use:

docker-compose up -d
Owner
Ricochet Exchange
Ricochet Exchange
Pretrained models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet.

Pretrained models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet.

Matthias Wright 169 Dec 26, 2022
This repo contains the code for the paper "Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging" that has been accepted to NeurIPS 2021.

Dugh-NeurIPS-2021 This repo contains the code for the paper "Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroi

Ali Hashemi 5 Jul 12, 2022
Explainable Medical ImageSegmentation via GenerativeAdversarial Networks andLayer-wise Relevance Propagation

MedAI: Transparency in Medical Image Segmentation What is this repo This repo contains the code and experiments that are implemented to contribute in

Awadelrahman M. A. Ahmed 1 Nov 22, 2021
Supervised & unsupervised machine-learning techniques are applied to the database of weighted P4s which admit Calabi-Yau hypersurfaces.

Weighted Projective Spaces ML Description: The database of 5-vectors describing 4d weighted projective spaces which admit Calabi-Yau hypersurfaces are

Ed Hirst 3 Sep 08, 2022
Pytoydl: A toy deep learning framework built upon numpy.

Documents: https://pytoydl.readthedocs.io/zh/latest/ Pytoydl A toy deep learning framework built upon numpy. You can star this repository to keep trac

28 Dec 10, 2022
PyContinual (An Easy and Extendible Framework for Continual Learning)

PyContinual (An Easy and Extendible Framework for Continual Learning) Easy to Use You can sumply change the baseline, backbone and task, and then read

Zixuan Ke 176 Jan 05, 2023
The official implementation of A Unified Game-Theoretic Interpretation of Adversarial Robustness.

This repository is the official implementation of A Unified Game-Theoretic Interpretation of Adversarial Robustness. Requirements pip install -r requi

Jie Ren 17 Dec 12, 2022
Learning Correspondence from the Cycle-consistency of Time (CVPR 2019)

TimeCycle Code for Learning Correspondence from the Cycle-consistency of Time (CVPR 2019, Oral). The code is developed based on the PyTorch framework,

Xiaolong Wang 706 Nov 29, 2022
Efficient Conformer: Progressive Downsampling and Grouped Attention for Automatic Speech Recognition

Efficient Conformer: Progressive Downsampling and Grouped Attention for Automatic Speech Recognition Official implementation of the Efficient Conforme

Maxime Burchi 145 Dec 30, 2022
Source code and dataset for ACL2021 paper: "ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning".

ERICA Source code and dataset for ACL2021 paper: "ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive L

THUNLP 75 Nov 02, 2022
Learning hierarchical attention for weakly-supervised chest X-ray abnormality localization and diagnosis

Hierarchical Attention Mining (HAM) for weakly-supervised abnormality localization This is the official PyTorch implementation for the HAM method. Pap

Xi Ouyang 22 Jan 02, 2023
This repo includes the CUB-GHA (Gaze-based Human Attention) dataset and code of the paper "Human Attention in Fine-grained Classification".

HA-in-Fine-Grained-Classification This repo includes the CUB-GHA (Gaze-based Human Attention) dataset and code of the paper "Human Attention in Fine-g

16 Oct 29, 2022
N-gram models- Unsmoothed, Laplace, Deleted Interpolation

N-gram models- Unsmoothed, Laplace, Deleted Interpolation

Ravika Nagpal 1 Jan 04, 2022
Data Augmentation Using Keras and Python

Data-Augmentation-Using-Keras-and-Python Data augmentation is the process of increasing the number of training dataset. Keras library offers a simple

Happy N. Monday 3 Feb 15, 2022
Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GanFormer and TransGan paper

TransGanFormer (wip) Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GansFormer and TransGan paper. I

Phil Wang 146 Dec 06, 2022
PyTorch implementation of paper: AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer, ICCV 2021.

AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer [Paper] [PyTorch Implementation] [Paddle Implementation] Overview This reposit

148 Dec 30, 2022
Code for Fold2Seq paper from ICML 2021

[ICML2021] Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design Environment file: environment.yml Data and Feat

International Business Machines 43 Dec 04, 2022
Code for our ALiBi method for transformer language models.

Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation This repository contains the code and models for our paper Tra

Ofir Press 211 Dec 31, 2022
Machine Translation Implement By Bi-GRU And Transformer

Seq2Seq Translation Implement By Bidirectional GRU And Transformer In Pytorch Before You Run The Code You should download the data through the link be

He Wang 2 Oct 27, 2021
A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.

collie_recs Collie is a library for preparing, training, and evaluating implicit deep learning hybrid recommender systems, named after the Border Coll

ShopRunner 97 Jan 03, 2023