Feature board for ERPNext

Overview

ERPNext Feature Board

Feature board for ERPNext

Development Prerequisites

Install K3d Cluster

# export K3D_FIX_CGROUPV2=1 # use in case of cgroup2, Arch Linux or latest kernels
k3d cluster create devcluster \
  --registry-config ./cluster/k3d-registries.yaml \
  --api-port 127.0.0.1:6443 \
  -p 80:8[email protected] \
  -p 443:[email protected] \
  --k3s-server-arg "--no-deploy=traefik"

Install Docker Registry

docker volume create local_registry
docker container run -d \
  --name registry.localhost \
  -e "REGISTRY_STORAGE_DELETE_ENABLED=true" \
  -p 5000:5000 \
  -v local_registry:/var/lib/registry \
  --restart always \
  registry:2
docker network connect k3d-devcluster registry.localhost
docker login registry.localhost:5000 -u admin -p password

Add Helm Repo

helm repo add fluxcd https://charts.fluxcd.io
helm repo add bitnami https://charts.bitnami.com/bitnami
helm repo update

Install MariaDB

kubectl create ns mariadb
helm install mariadb -n mariadb bitnami/mariadb -f ./cluster/mariadb-values.yaml

Install NFS

kubectl create ns nfs
kubectl create -f ./cluster/nfs-server-provisioner/statefulset.dev.yaml
kubectl create -f ./cluster/nfs-server-provisioner/rbac.yaml
kubectl create -f ./cluster/nfs-server-provisioner/class.yaml

Install Redis

kubectl create ns redis
helm install redis -n redis bitnami/redis \
  --set auth.enabled=false \
  --set auth.sentinal=false \
  --set architecture=standalone \
  --set master.persistence.enabled=false

Install Helm Operator (Flux Helm Operator)

kubectl apply -f https://raw.githubusercontent.com/fluxcd/helm-operator/1.2.0/deploy/crds.yaml
kubectl create ns flux
helm upgrade -i helm-operator fluxcd/helm-operator \
  --namespace flux \
  --set helm.versions=v3

Create Namespace for application

kubectl create ns efb

Note: set kubernetes_namespace in site_config.json to use any other namespace.

Install Ingress Controller (Optional)

Follow this step to try out created sites locally on port 80 and 443.

kubectl apply -f https://raw.githubusercontent.com/kubernetes/ingress-nginx/controller-v0.46.0/deploy/static/provider/cloud/deploy.yaml

Bench start

Install this app on a site and bench start, we'll call this site efb.localhost

Initialize Site

  • Add Github Repository, add the url and github personal access token
  • Sync Github Repository

License

MIT

Owner
Revant Nandgaonkar
Revant Nandgaonkar
"Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion"(WWW 2021)

STAR_KGC This repo contains the source code of the paper accepted by WWW'2021. "Structure-Augmented Text Representation Learning for Efficient Knowled

Bo Wang 60 Dec 26, 2022
SimpleDepthEstimation - An unified codebase for NN-based monocular depth estimation methods

SimpleDepthEstimation Introduction This is an unified codebase for NN-based monocular depth estimation methods, the framework is based on detectron2 (

8 Dec 13, 2022
The implementation of the CVPR2021 paper "Structure-Aware Face Clustering on a Large-Scale Graph with 10^7 Nodes"

STAR-FC This code is the implementation for the CVPR 2021 paper "Structure-Aware Face Clustering on a Large-Scale Graph with 10^7 Nodes" 🌟 🌟 . 🎓 Re

Shuai Shen 87 Dec 28, 2022
Self-Supervised Methods for Noise-Removal

SSMNR | Self-Supervised Methods for Noise Removal Image denoising is the task of removing noise from an image, which can be formulated as the task of

1 Jan 16, 2022
An implementation of the methods presented in Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data.

An implementation of the methods presented in Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data.

Andrew Jesson 9 Apr 04, 2022
[WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"

DRAGON: From Generalized zero-shot learning to long-tail with class descriptors Paper Project Website Video Overview DRAGON learns to correct the bias

Dvir Samuel 25 Dec 06, 2022
codes for paper Combining Dynamic Local Context Focus and Dependency Cluster Attention for Aspect-level sentiment classification

DLCF-DCA codes for paper Combining Dynamic Local Context Focus and Dependency Cluster Attention for Aspect-level sentiment classification. submitted t

15 Aug 30, 2022
Resources related to EMNLP 2021 paper "FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations"

FAME: Feature-based Adversarial Meta-Embeddings This is the companion code for the experiments reported in the paper "FAME: Feature-Based Adversarial

Bosch Research 11 Nov 27, 2022
Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation

Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation This repository contains the Pytorch implementation of the proposed

Devavrat Tomar 19 Nov 10, 2022
Deep Watershed Transform for Instance Segmentation

Deep Watershed Transform Performs instance level segmentation detailed in the following paper: Min Bai and Raquel Urtasun, Deep Watershed Transformati

193 Nov 20, 2022
TensorLight - A high-level framework for TensorFlow

TensorLight is a high-level framework for TensorFlow-based machine intelligence applications. It reduces boilerplate code and enables advanced feature

Benjamin Kan 10 Jul 31, 2022
Official code for 'Robust Siamese Object Tracking for Unmanned Aerial Manipulator' and offical introduction to UAMT100 benchmark

SiamSA: Robust Siamese Object Tracking for Unmanned Aerial Manipulator Demo video 📹 Our video on Youtube and bilibili demonstrates the evaluation of

Intelligent Vision for Robotics in Complex Environment 12 Dec 18, 2022
Implementation of SiameseXML (ICML 2021)

SiameseXML Code for SiameseXML: Siamese networks meet extreme classifiers with 100M labels Best Practices for features creation Adding sub-words on to

Extreme Classification 35 Nov 06, 2022
Single-step adversarial training (AT) has received wide attention as it proved to be both efficient and robust.

Subspace Adversarial Training Single-step adversarial training (AT) has received wide attention as it proved to be both efficient and robust. However,

15 Sep 02, 2022
Warning: This project does not have any current developer. See bellow.

Pylearn2: A machine learning research library Warning : This project does not have any current developer. We will continue to review pull requests and

Laboratoire d’Informatique des Systèmes Adaptatifs 2.7k Dec 26, 2022
An Straight Dilated Network with Wavelet for image Deblurring

SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring(offical) 1. Introduction This repo is not only used for our paper(

FlyEgle 41 Jan 04, 2023
Back to Basics: Efficient Network Compression via IMP

Back to Basics: Efficient Network Compression via IMP Authors: Max Zimmer, Christoph Spiegel, Sebastian Pokutta This repository contains the code to r

IOL Lab @ ZIB 1 Nov 19, 2021
ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs

(Comet-) ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs Paper Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sa

AI2 152 Dec 27, 2022
Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.

feature-set-comp Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships. Reposito

Trent Henderson 7 May 25, 2022