Opinionated code formatter, just like Python's black code formatter but for Beancount

Overview

beancount-black CircleCI

Opinionated code formatter, just like Python's black code formatter but for Beancount

Try it out online here

Features

  • MIT licensed - based on beancount-parser, a Lark based LALR(1) Beancount syntax parser
  • Extremely fast - 5K+ lines file generated by bean-example can be formatted in around 1 second
  • Section awareness - entries separated by Emac org symbol mark * will be formatted in groups without changing the overall structure
  • Comment preserving - comments are preserved and will be formatted as well
  • Auto column width - calculate maximum column width and adjust accordingly
  • Valid beancount file assumed - please notice that the formatter assumes the given beacnount file is valid, it doesn't not perform any kind of validation

Sponsor

The original project beancount-black was meant to be an internal tool built by Launch Platform LLC for

BeanHub logo

A modern accounting book service based on the most popular open source version control system Git and text-based double entry accounting book software Beancount. We realized adding new entries with BeanHub automatically over time makes beancount file a mess. So obviously, a strong code formatter is needed. While SaaS businesses won't be required to open source an internal tool like this, we still love that the service is only possible because of the open-source tool we are using. We think it would be greatly beneficial for the community to access a tool like this, so we've decided to open source it under MIT license, hope you find this tool useful 😄

Install

To install the formatter, simply run

pip install beancount-black

Usage

Run

bean-black /path/to/file.bean

Then the file will be formatted. Since this tool is still in its early stage, a backup file at <filepath>.backup will be created automatically by default just in case. The creation of backup files can be disabled by passing -n or --no-backup like this

bean-black -n /path/to/file.bean

It's highly recommended to use BeanHub, Git or other version control system to track your Beancount book files before running the formatter against them without a backup.

If you want to run the formatter programmatically, you can do this

import io

from beancount_parser.parser import make_parser
from beancount_black.formatter import Formatter

parser = make_parser()
formatter = Formatter()

tree = parser.parse(beancount_content)
output_file = io.StringIO()
formatter.format(tree, output_file)

Future features

  • Add argument for renaming account and commodity
  • Add argument for following other files from include statements and also format those files

Feedbacks, bugs reporting or feature requests are welcome 🙌 , just please open an issue. No guarantee we have time to deal with them, but will see what we can do.

Owner
Launch Platform
We build & launch innovative software products
Launch Platform
Vision transformers (ViTs) have found only limited practical use in processing images

CXV Convolutional Xformers for Vision Vision transformers (ViTs) have found only limited practical use in processing images, in spite of their state-o

Cloudwalker 23 Sep 10, 2022
Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.

Population-Based Bandits (PB2) Code for the Population-Based Bandits (PB2) Algorithm, from the paper Provably Efficient Online Hyperparameter Optimiza

Jack Parker-Holder 22 Nov 16, 2022
FinGAT: A Financial Graph Attention Networkto Recommend Top-K Profitable Stocks

FinGAT: A Financial Graph Attention Networkto Recommend Top-K Profitable Stocks This is our implementation for the paper: FinGAT: A Financial Graph At

Yu-Che Tsai 64 Dec 13, 2022
Python wrapper of LSODA (solving ODEs) which can be called from within numba functions.

numbalsoda numbalsoda is a python wrapper to the LSODA method in ODEPACK, which is for solving ordinary differential equation initial value problems.

Nick Wogan 52 Jan 09, 2023
This is the latest version of the PULP SDK

PULP-SDK This is the latest version of the PULP SDK, which is under active development. The previous (now legacy) version, which is no longer supporte

78 Dec 07, 2022
Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data

VIMuRe Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data. If you use this code please cite this article (preprint). De

6 Dec 15, 2022
Generating Fractals on Starknet with Cairo

StarknetFractals Generating the mandelbrot set on Starknet Current Implementation generates 1 pixel of the fractal per call(). It takes a few minutes

Orland0x 10 Jul 16, 2022
Distributed Evolutionary Algorithms in Python

DEAP DEAP is a novel evolutionary computation framework for rapid prototyping and testing of ideas. It seeks to make algorithms explicit and data stru

Distributed Evolutionary Algorithms in Python 4.9k Jan 05, 2023
An University Project of Quera Web Crawling.

WebCrawlerProject An University Project of Quera Web Crawling. خزشگر اینستاگرام در این پروژه شما باید با استفاده از کتابخانه های زیر یک خزشگر اینستاگر

Mahdi 3 Aug 12, 2022
计算机视觉中用到的注意力模块和其他即插即用模块PyTorch Implementation Collection of Attention Module and Plug&Play Module

PyTorch实现多种计算机视觉中网络设计中用到的Attention机制,还收集了一些即插即用模块。由于能力有限精力有限,可能很多模块并没有包括进来,有任何的建议或者改进,可以提交issue或者进行PR。

PJDong 599 Dec 23, 2022
FrankMocap: A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator

FrankMocap pursues an easy-to-use single view 3D motion capture system developed by Facebook AI Research (FAIR). FrankMocap provides state-of-the-art 3D pose estimation outputs for body, hand, and bo

Facebook Research 1.9k Jan 07, 2023
Example Of Fine-Tuning BERT For Named-Entity Recognition Task And Preparing For Cloud Deployment Using Flask, React, And Docker

Example Of Fine-Tuning BERT For Named-Entity Recognition Task And Preparing For Cloud Deployment Using Flask, React, And Docker This repository contai

Nikita 12 Dec 14, 2022
A C implementation for creating 2D voronoi diagrams

Branch OSX/Linux Windows master dev jc_voronoi A fast C/C++ header only implementation for creating 2D Voronoi diagrams from a point set Uses Fortune'

Mathias Westerdahl 481 Dec 29, 2022
Pytorch implementation of SELF-ATTENTIVE VAD, ICASSP 2021

SELF-ATTENTIVE VAD: CONTEXT-AWARE DETECTION OF VOICE FROM NOISE (ICASSP 2021) Pytorch implementation of SELF-ATTENTIVE VAD | Paper | Dataset Yong Rae

97 Dec 23, 2022
Learning cell communication from spatial graphs of cells

ncem Features Repository for the manuscript Fischer, D. S., Schaar, A. C. and Theis, F. Learning cell communication from spatial graphs of cells. 2021

Theis Lab 77 Dec 30, 2022
A powerful framework for decentralized federated learning with user-defined communication topology

Scatterbrained Decentralized Federated Learning Scatterbrained makes it easy to build federated learning systems. In addition to traditional federated

Johns Hopkins Applied Physics Laboratory 7 Sep 26, 2022
Bot developed in Python that automates races in pegaxy.

español | português About it: This is a fork from pega-racing-bot. This bot, developed in Python, is to automate races in pegaxy. The game developers

4 Apr 08, 2022
A knowledge base construction engine for richly formatted data

Fonduer is a Python package and framework for building knowledge base construction (KBC) applications from richly formatted data. Note that Fonduer is

HazyResearch 386 Dec 05, 2022
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce (EMNLP Founding 2021)

Introduction K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce. Installation PyTor

Xu Song 21 Nov 16, 2022
Unofficial implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" (https://arxiv.org/abs/2103.14030)

Swin-Transformer-Tensorflow A direct translation of the official PyTorch implementation of "Swin Transformer: Hierarchical Vision Transformer using Sh

52 Dec 29, 2022