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.
Human Detection - Pedestrian Detection using OpenCV Python

Pedestrian Detection using OpenCV Python Follow us on Instagram for Machine Lear

Hrishikesh Dutta 1 Jan 23, 2022
This is the official implementation for the paper "Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization" in NeurIPS 2021.

MPMAB_BEACON This is code used for the paper "Decentralized Multi-player Multi-armed Bandits: Beyond Linear Reward Functions", Neurips 2021. Requireme

Cong Shen Research Group 0 Oct 26, 2021
Multimodal commodity image retrieval 多模态商品图像检索

Multimodal commodity image retrieval 多模态商品图像检索 Not finished yet... introduce explain:The specific description of the project and the product image dat

hongjie 8 Nov 25, 2022
A collection of random and hastily hacked together scripts for investigating EU-DCC

A collection of random and hastily hacked together scripts for investigating EU-DCC

Ryan Barrett 8 Mar 01, 2022
Evaluation and Benchmarking of Speech Super-resolution Methods

Speech Super-resolution Evaluation and Benchmarking What this repo do: A toolbox for the evaluation of speech super-resolution algorithms. Unify the e

Haohe Liu (刘濠赫) 84 Dec 20, 2022
Python implementation of Project Fluent

Project Fluent This is a collection of Python packages to use the Fluent localization system. python-fluent consists of these packages: fluent.syntax

Project Fluent 155 Dec 28, 2022
A Human-in-the-Loop workflow for creating HD images from text

A Human-in-the-Loop? workflow for creating HD images from text DALL·E Flow is an interactive workflow for generating high-definition images from text

Jina AI 2.5k Jan 02, 2023
Language Models Can See: Plugging Visual Controls in Text Generation

Language Models Can See: Plugging Visual Controls in Text Generation Authors: Yixuan Su, Tian Lan, Yahui Liu, Fangyu Liu, Dani Yogatama, Yan Wang, Lin

Yixuan Su 195 Dec 22, 2022
Few-shot Neural Architecture Search

One-shot Neural Architecture Search uses a single supernet to approximate the performance each architecture. However, this performance estimation is super inaccurate because of co-adaption among oper

Yiyang Zhao 38 Oct 18, 2022
Back to the Feature: Learning Robust Camera Localization from Pixels to Pose (CVPR 2021)

Back to the Feature with PixLoc We introduce PixLoc, a neural network for end-to-end learning of camera localization from an image and a 3D model via

Computer Vision and Geometry Lab 610 Jan 05, 2023
Approaches to modeling terrain and maps in python

topography 🌎 Contains different approaches to modeling terrain and topographic-style maps in python Features Inverse Distance Weighting (IDW) A given

John Gutierrez 1 Aug 10, 2022
Character Grounding and Re-Identification in Story of Videos and Text Descriptions

Character in Story Identification Network (CiSIN) This project hosts the code for our paper. Youngjae Yu, Jongseok Kim, Heeseung Yun, Jiwan Chung and

8 Dec 09, 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 Apache MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to m

The Apache Software Foundation 20.2k Jan 05, 2023
U-Net for GBM

My Final Year Project(FYP) In National University of Singapore(NUS) You need Pytorch(stable 1.9.1) Both cuda version and cpu version are OK File Str

PinkR1ver 1 Oct 27, 2021
Election Exit Poll Prediction and U.S.A Presidential Speech Analysis using Machine Learning

Machine_Learning Election Exit Poll Prediction and U.S.A Presidential Speech Analysis using Machine Learning This project is based on 2 case-studies:

Avnika Mehta 1 Jan 27, 2022
Implementation of Continuous Sparsification, a method for pruning and ticket search in deep networks

Continuous Sparsification Implementation of Continuous Sparsification (CS), a method based on l_0 regularization to find sparse neural networks, propo

Pedro Savarese 23 Dec 07, 2022
Deep Learning Pipelines for Apache Spark

Deep Learning Pipelines for Apache Spark The repo only contains HorovodRunner code for local CI and API docs. To use HorovodRunner for distributed tra

Databricks 2k Jan 08, 2023
Dyalog-apl-docset - Dyalog APL Dash Docset Generator

Dyalog APL Dash Docset Generator o alasa e kili sona kepeken tenpo lili a A Dash

Maciej Goszczycki 1 Jan 10, 2022
A light-weight image labelling tool for Python designed for creating segmentation data sets.

An image labelling tool for creating segmentation data sets, for Django and Flask.

117 Nov 21, 2022
Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

fcn - Fully Convolutional Networks Chainer implementation of Fully Convolutional Networks. Installation pip install fcn Inference Inference is done as

Kentaro Wada 218 Oct 27, 2022