GithubHelp home page GithubHelp logo

nomad-parser-abacus's Introduction

This is a NOMAD parser for ABACUS. It will read ABACUS input and output files and provide all information in NOMAD's unified Metainfo based Archive format.

Preparing code input and output file for uploading to NOMAD

NOMAD accepts .zip and .tar.gz archives as uploads. Each upload can contain arbitrary files and directories. NOMAD will automatically try to choose the right parser for you files. For each parser (i.e. for each supported code) there is one type of file that the respective parser can recognize. We call these files mainfiles as they typically are the main output file a code. For each mainfile that NOMAD discovers it will create an entry in the database that users can search, view, and download. NOMAD will associate all files in the same directory as files that also belong to that entry. Parsers might also read information from these auxillary files. This way you can add more files to an entry, even if the respective parser/code might not directly support it.

For ABACUS please provide at least the files from this table if applicable to your calculations (remember that you can provide more files if you want):

Input Filename Description
<text_file> Mainfile, plain text file w/arbitrary name, e.g., running_<scf, nscf, relax, ...md>.log
INPUT Runtime information
AUX FILES Description
STRU Material's atomic-structure information
KPT K-points information
<text_file> pseudopotental files
<text_file> optimized atomic basis sets
TDOS Kohn-Sham total DOS
PDOS Projected DOS
BANDS_<nspin>.dat bandstructure file

To create an upload with all calculations in a directory structure:

zip -r <upload-file>.zip <directory>/*

Go to the NOMAD upload page to upload files or find instructions about how to upload files from the command line.

Using the parser

You can use NOMAD's parsers and normalizers locally on your computer. You need to install NOMAD's pypi package:

pip install nomad-lab

To parse code input/output from the command line, you can use NOMAD's command line interface (CLI) and print the processing results output to stdout:

nomad parse --show-archive <path-to-file>

To parse a file in Python, you can program something like this:

import sys
from nomad.cli.parse import parse, normalize_all

# match and run the parser
archive = parse(sys.argv[1])
# run all normalizers
normalize_all(archive)

# get the 'main section' section_run as a metainfo object
section_run = archive.section_run[0]

# get the same data as JSON serializable Python dict
python_dict = section_run.m_to_dict()

Developing the parser

Create a virtual environment to install the parser in development mode:

pip install virtualenv
virtualenv -p `which python3` .pyenv
source .pyenv/bin/activate

Install NOMAD's pypi package:

pip install nomad-lab

Clone the parser project and install it in development mode:

git clone https://github.com/nomad-coe/nomad-parser-abacus.git nomad-parser-abacus
pip install -e nomad-parser-abacus

Running the parser now, will use the parser's Python code from the clone project.

nomad-parser-abacus's People

Contributors

1041176461 avatar ladinesa avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.