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
Code for the preprint "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

This is a repository for the paper of "Well-classified Examples are Underestimated in Classification with Deep Neural Networks" The implementation and

LancoPKU 25 Dec 11, 2022
LeetCode Solutions https://t.me/tenvlad

leetcode LeetCode Solutions groupped by common patterns YouTube: https://www.youtube.com/c/vladten Telegram: https://t.me/nilinterface Problems source

Vlad Ten 158 Dec 29, 2022
An implementation of the efficient attention module.

Efficient Attention An implementation of the efficient attention module. Description Efficient attention is an attention mechanism that substantially

Shen Zhuoran 194 Dec 15, 2022
State-of-the-art language models can match human performance on many tasks

Status: Archive (code is provided as-is, no updates expected) Grade School Math [Blog Post] [Paper] State-of-the-art language models can match human p

OpenAI 259 Jan 08, 2023
pyspark🍒🥭 is delicious,just eat it!😋😋

如何用10天吃掉pyspark? 🔥 🔥 《10天吃掉那只pyspark》 🚀

lyhue1991 578 Dec 30, 2022
HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation

HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation Official PyTroch implementation of HPRNet. HPRNet: Hierarchical Point Regre

Nermin Samet 53 Dec 04, 2022
Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"

SelfTask-GNN A PyTorch implementation of "Self-supervised Learning on Graphs: Deep Insights and New Directions". [paper] In this paper, we first deepe

Wei Jin 85 Oct 13, 2022
Official implementation of the Neurips 2021 paper Searching Parameterized AP Loss for Object Detection.

Parameterized AP Loss By Chenxin Tao, Zizhang Li, Xizhou Zhu, Gao Huang, Yong Liu, Jifeng Dai This is the official implementation of the Neurips 2021

46 Jul 06, 2022
[AI6122] Text Data Management & Processing

[AI6122] Text Data Management & Processing is an elective course of MSAI, SCSE, NTU, Singapore. The repository corresponds to the AI6122 of Semester 1, AY2021-2022, starting from 08/2021. The instruc

HT. Li 1 Jan 17, 2022
Does MAML Only Work via Feature Re-use? A Data Set Centric Perspective

Does-MAML-Only-Work-via-Feature-Re-use-A-Data-Set-Centric-Perspective Does MAML Only Work via Feature Re-use? A Data Set Centric Perspective Installin

2 Nov 07, 2022
A toolset of Python programs for signal modeling and indentification via sparse semilinear autoregressors.

SPAAR Description A toolset of Python programs for signal modeling via sparse semilinear autoregressors. References Vides, F. (2021). Computing Semili

Fredy Vides 0 Oct 30, 2021
Implementation of "StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis"

StrengthNet Implementation of "StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis" https://arxiv.org/abs/2110

RuiLiu 65 Dec 20, 2022
Generic U-Net Tensorflow implementation for image segmentation

Tensorflow Unet Warning This project is discontinued in favour of a Tensorflow 2 compatible reimplementation of this project found under https://githu

Joel Akeret 1.8k Dec 10, 2022
Implementing Graph Convolutional Networks and Information Retrieval Mechanisms using pure Python and NumPy

Implementing Graph Convolutional Networks and Information Retrieval Mechanisms using pure Python and NumPy

Noah Getz 3 Jun 22, 2022
Predict and time series avocado hass

RECOMMENDER SYSTEM MARKETING TỔNG QUAN VỀ HỆ THỐNG DỮ LIỆU 1. Giới thiệu - Tiki là một hệ sinh thái thương mại "all in one", trong đó có tiki.vn, là

hieulmsc 3 Jan 10, 2022
The versatile ocean simulator, in pure Python, powered by JAX.

Veros is the versatile ocean simulator -- it aims to be a powerful tool that makes high-performance ocean modeling approachable and fun. Because Veros

TeamOcean 245 Dec 20, 2022
Demystifying How Self-Supervised Features Improve Training from Noisy Labels

Demystifying How Self-Supervised Features Improve Training from Noisy Labels This code is a PyTorch implementation of the paper "[Demystifying How Sel

<a href=[email protected]"> 4 Oct 14, 2022
Conversational text Analysis using various NLP techniques

PyConverse Let me try first Installation pip install pyconverse Usage Please try this notebook that demos the core functionalities: basic usage noteb

Rita Anjana 158 Dec 25, 2022
A simple version for graphfpn

GraphFPN: Graph Feature Pyramid Network for Object Detection Download graph-FPN-main.zip For training , run: python train.py For test with Graph_fpn

WorldGame 67 Dec 25, 2022
Resources for our AAAI 2022 paper: "LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification".

LOREN Resources for our AAAI 2022 paper (pre-print): "LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification". DEMO System Check out o

Jiangjie Chen 37 Dec 27, 2022