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
A pytorch implementation of Reading Wikipedia to Answer Open-Domain Questions.

DrQA A pytorch implementation of the ACL 2017 paper Reading Wikipedia to Answer Open-Domain Questions (DrQA). Reading comprehension is a task to produ

Runqi Yang 394 Nov 08, 2022
Task-based end-to-end model learning in stochastic optimization

Task-based End-to-end Model Learning in Stochastic Optimization This repository is by Priya L. Donti, Brandon Amos, and J. Zico Kolter and contains th

CMU Locus Lab 164 Dec 29, 2022
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data

SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data Au

14 Nov 28, 2022
Compartmental epidemic model to assess undocumented infections: applications to SARS-CoV-2 epidemics in Brazil - Datasets and Codes

Compartmental epidemic model to assess undocumented infections: applications to SARS-CoV-2 epidemics in Brazil - Datasets and Codes The codes for simu

1 Jan 12, 2022
Betafold - AlphaFold with tunings

BetaFold We (hegelab.org) craeted this standalone AlphaFold (AlphaFold-Multimer,

2 Aug 11, 2022
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling @ INTERSPEECH 2021 Accepted

NU-Wave — Official PyTorch Implementation NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling Junhyeok Lee, Seungu Han @ MINDsLab Inc

MINDs Lab 242 Dec 23, 2022
RADIal is available now! Check the download section

Latest news: RADIal is available now! Check the download section. However, because we are currently working on the data anonymization, we provide for

valeo.ai 55 Jan 03, 2023
Interactive Image Segmentation via Backpropagating Refinement Scheme

Won-Dong Jang and Chang-Su Kim, Interactive Image Segmentation via Backpropagating Refinement Scheme, CVPR 2019

Won-Dong Jang 85 Sep 15, 2022
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning By Zhenda Xie*, Yutong Lin*, Zheng Zhang, Yue Ca

Zhenda Xie 293 Dec 20, 2022
Chinese named entity recognization with BiLSTM using Keras

Chinese named entity recognization (Bilstm with Keras) Project Structure ./ ├── README.md ├── data │   ├── README.md │   ├── data 数据集 │   │   ├─

1 Dec 17, 2021
😇A pyTorch implementation of the DeepMoji model: state-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc

------ Update September 2018 ------ It's been a year since TorchMoji and DeepMoji were released. We're trying to understand how it's being used such t

Hugging Face 865 Dec 24, 2022
Paper: Cross-View Kernel Similarity Metric Learning Using Pairwise Constraints for Person Re-identification

Cross-View Kernel Similarity Metric Learning Using Pairwise Constraints for Person Re-identification T M Feroz Ali, Subhasis Chaudhuri, ICVGIP-20-21

T M Feroz Ali 3 Jun 17, 2022
Brain tumor detection using Convolution-Neural Network (CNN)

Detect and Classify Brain Tumor using CNN. A system performing detection and classification by using Deep Learning Algorithms using Convolution-Neural Network (CNN).

assia 1 Feb 07, 2022
Voice of Pajlada with model and weights.

Pajlada TTS Stripped down version of ForwardTacotron (https://github.com/as-ideas/ForwardTacotron) with pretrained weights for Pajlada's (https://gith

6 Sep 03, 2021
Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"

NeuralSymbolicRegressionThatScales Pytorch implementation and pretrained models for the paper "Neural Symbolic Regression That Scales", presented at I

35 Nov 25, 2022
A graph adversarial learning toolbox based on PyTorch and DGL.

GraphWar: Arms Race in Graph Adversarial Learning NOTE: GraphWar is still in the early stages and the API will likely continue to change. 🚀 Installat

Jintang Li 54 Jan 05, 2023
Multi-Glimpse Network With Python

Multi-Glimpse Network Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention arXiv Require

9 May 10, 2022
Riemannian Geometry for Molecular Surface Approximation (RGMolSA)

Riemannian Geometry for Molecular Surface Approximation (RGMolSA) Introduction Ligand-based virtual screening aims to reduce the cost and duration of

11 Nov 15, 2022
The 2nd place solution of 2021 google landmark retrieval on kaggle.

Leaderboard, taxonomy, and curated list of few-shot object detection papers.

229 Dec 13, 2022
Evaluating AlexNet features at various depths

Linear Separability Evaluation This repo provides the scripts to test a learned AlexNet's feature representation performance at the five different con

Yuki M. Asano 32 Dec 30, 2022