Manage the availability of workspaces within Frappe/ ERPNext (sidebar) based on user-roles

Overview

Workspace Permissions

Manage the availability of workspaces within Frappe/ ERPNext (sidebar) based on user-roles.

Features

Configure foreach workspace, which roles can access / can not access a workspace

  • As a whitelist (means, we manage roles, that get access) -> “Visible To Roles”
  • As a blacklist (means, we manage roles, that can NOT get access) -> “Hidden to Roles”
  • Special handling for the "Administrator"-User, as we don't want to restrict anything for that user.
    • That user won't get affected by the configuration, even if he has one of the black-listed roles assigned
  • Hide section-names, if there are no more workspaces available for the same

ATTENTION This app will only work with a modification to the Frappe-Core, frappe/frappe/boot.py. Right now there is no other option to get this functionality integrated.

We have included a script that will "Monkey Patch" the relevant file/method. There is no need to manually modify any file. Therefore it is also no big deal to update Frappe later on - after updating (what would remove the modification), you just need to make sure to execute the given "seeds" once again.

Dependency

  • Frappe/ ERPNext v13

Install on Self-Hosted

Remeber to replace MY_SITE with your site name.

cd frappe-bench
bench get-app https://github.com/pstuhlmueller/workspaceperms.git
bench --site MY_SITE install-app workspaceperms
# This will do the modification within frappe/frappe/boot.py
bench execute workspaceperms.seeds.execute
# You need to run `bench restart` once, as otherwise the modification to boot.py won't take effect
bench restart

Configuration

  1. Go (via awesomebar) into "Workspace Perms List"
  2. Add a new Workspace Perms document
  3. Select the relevant workspace
  4. Set the permissions ("Visible To Roles" and/or "Hidden to Roles") as relevant for your scenario

Hint: Instead of manually adding each Workspace Perm manually, you could also think about preparing a xlsx-file and go with the "Data Import"..

License

GPLv3

Owner
Patrick.St.
As a solution & software architect and former consultant my strengths are in the field of ERP and CRM. I am passionated in quantitative analysis/ algotrading.
Patrick.St.
An implementation for the ICCV 2021 paper Deep Permutation Equivariant Structure from Motion.

Deep Permutation Equivariant Structure from Motion Paper | Poster This repository contains an implementation for the ICCV 2021 paper Deep Permutation

72 Dec 27, 2022
LiDAR R-CNN: An Efficient and Universal 3D Object Detector

LiDAR R-CNN: An Efficient and Universal 3D Object Detector Introduction This is the official code of LiDAR R-CNN: An Efficient and Universal 3D Object

TuSimple 295 Jan 05, 2023
PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning

Unofficial PyTorch implementation of "Zero-Shot" Super-Resolution using Deep Internal Learning Unofficial Implementation of 1712.06087 "Zero-Shot" Sup

Jacob Gildenblat 196 Nov 27, 2022
The official implementation of the Interspeech 2021 paper WSRGlow: A Glow-based Waveform Generative Model for Audio Super-Resolution.

WSRGlow The official implementation of the Interspeech 2021 paper WSRGlow: A Glow-based Waveform Generative Model for Audio Super-Resolution. Audio sa

Kexun Zhang 96 Jan 03, 2023
PyTorch implementation of ICLR 2022 paper PiCO: Contrastive Label Disambiguation for Partial Label Learning

PiCO: Contrastive Label Disambiguation for Partial Label Learning This is a PyTorch implementation of ICLR 2022 paper PiCO: Contrastive Label Disambig

王皓波 147 Jan 07, 2023
Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)

T-Zero This repository serves primarily as codebase and instructions for training, evaluation and inference of T0. T0 is the model developed in Multit

BigScience Workshop 253 Dec 27, 2022
Consensus score for tripadvisor

ContripScore ContripScore is essentially a score that combines an Internet platform rating and a consensus rating from sentiment analysis (For instanc

Pepe 1 Jan 13, 2022
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Google Cloud Platform 792 Dec 28, 2022
RLHive: a framework designed to facilitate research in reinforcement learning.

RLHive is a framework designed to facilitate research in reinforcement learning. It provides the components necessary to run a full RL experiment, for both single agent and multi agent environments.

88 Jan 05, 2023
Zeyuan Chen, Yangchao Wang, Yang Yang and Dong Liu.

Principled S2R Dehazing This repository contains the official implementation for PSD Framework introduced in the following paper: PSD: Principled Synt

zychen 78 Dec 30, 2022
codes for Self-paced Deep Regression Forests with Consideration on Ranking Fairness

Self-paced Deep Regression Forests with Consideration on Ranking Fairness This is official codes for paper Self-paced Deep Regression Forests with Con

Learning in Vision 4 Sep 11, 2022
StarGAN-ZSVC: Unofficial PyTorch Implementation

This repository is an unofficial PyTorch implementation of StarGAN-ZSVC by Matthew Baas and Herman Kamper. This repository provides both model architectures and the code to inference or train them.

Jirayu Burapacheep 11 Aug 28, 2022
Do Neural Networks for Segmentation Understand Insideness?

This is part of the code to reproduce the results of the paper Do Neural Networks for Segmentation Understand Insideness? [pdf] by K. Villalobos (*),

biolins 0 Mar 20, 2021
The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal Transport Maps, ICLR 2022.

Generative Modeling with Optimal Transport Maps The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal

Litu Rout 30 Dec 22, 2022
IsoGCN code for ICLR2021

IsoGCN The official implementation of IsoGCN, presented in the ICLR2021 paper Isometric Transformation Invariant and Equivariant Graph Convolutional N

horiem 39 Nov 25, 2022
Code for paper: Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks

Group-CAM By Zhang, Qinglong and Rao, Lu and Yang, Yubin [State Key Laboratory for Novel Software Technology at Nanjing University] This repo is the o

zhql 98 Nov 16, 2022
Pytorch implementation of CVPR2021 paper "MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation"

MUST-GAN Code | paper The Pytorch implementation of our CVPR2021 paper "MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generat

TianxiangMa 46 Dec 26, 2022
BasicNeuralNetwork - This project looks over the basic structure of a neural network and how machine learning training algorithms work

BasicNeuralNetwork - This project looks over the basic structure of a neural network and how machine learning training algorithms work. For this project, I used the sigmoid function as an activation

Manas Bommakanti 1 Jan 22, 2022
Semantic Bottleneck Scene Generation

SB-GAN Semantic Bottleneck Scene Generation Coupling the high-fidelity generation capabilities of label-conditional image synthesis methods with the f

Samaneh Azadi 41 Nov 28, 2022
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Apache MXNet (incubating) for Deep Learning Master Docs License Apache MXNet (incubating) is a deep learning framework designed for both efficiency an

ROCm Software Platform 29 Nov 16, 2022