nfdi4plants / ARCtrl

Library for management of Annotated Research Contexts (ARCs) using an in-memory representation and runtime-agnostic contract systems.

ARCtrl

ARCtrl the easy way to read, manipulate and write ARCs in .NET, JavaScript and Python! ❤️

Version	Downloads

Install

.NET

#r "nuget: ARCtrl"

<PackageReference Include="ARCtrl" Version="1.1.0" />

JavaScript

npm i @nfdi4plants/arctrl

Python

pip install arctrl

Docs

Currently we provide some documentation in form of markdown files in the /docs folder of this repository!

Check it out!

Development

Requirements

• nodejs and npm
  • verify with node --version (Tested with v18.16.1)
  • verify with npm --version (Tested with v9.2.0)
• .NET SDK
  • verify with dotnet --version (Tested with 7.0.306)
• Python
  • verify with py --version (Tested with 3.12.2, known to work only for >=3.11)

Local Setup

On windows you can use the setup.cmd to run the following steps automatically!

1. Setup dotnet tools

   dotnet tool restore

2. Install NPM dependencies

   npm install

3. Setup python environment

   py -m venv .venv

4. Install Poetry and dependencies

   1. .\.venv\Scripts\python.exe -m pip install -U pip setuptools
   2. .\.venv\Scripts\python.exe -m pip install poetry
   3. .\.venv\Scripts\python.exe -m poetry install --no-root

Verify correct setup with ./build.cmd runtests ✨

Performance

Measured on 13th Gen Intel(R) Core(TM) i7-13800H

Name	Description	FSharp Time (ms)	JavaScript Time (ms)	Python Time (ms)
Table_GetHashCode	From a table with 1 column and 10000 rows, retrieve the Hash Code	5	21	226
Table_AddRows	Add 10000 rows to a table with 4 columns.	15	22	289
Table_fillMissingCells	For a table 6 columns and 20000 rows, where each row has one missing value, fill those values with default values.	49	108	4813
Table_ToJson	Serialize a table with 5 columns and 10000 rows to json.	1099	481	6833
Table_ToCompressedJson	Serialize a table with 5 columns and 10000 rows to compressed json.	261	2266	717334
Assay_toJson	Parse an assay with one table with 10000 rows and 6 columns to json	915	2459	28799
Study_FromWorkbook	Parse a workbook with one study with 10000 rows and 6 columns to an ArcStudy	97	87	1249
Investigation_ToWorkbook_ManyStudies	Parse an investigation with 1500 studies to a workbook	621	379	9974