DFT organizer

Alina Zhidkovskaya and Evgeny Blokhin
Tilde Materials Informatics and Materials Platform for Data Science LLC

About

dft-organizer is a command-line tool to manage data from density functional theory calculations using CRYSTAL and FLEUR engines.

It automates:

• Archiving calculation directories with 7z compression
• Parsing output files to generate detailed error reports and CSV summaries
• Cleaning up original calculation directories after archiving

It also supports unpacking 7z archives and restoring archived calculation directories recursively, with optional AiiDA UUID tracking.

Installation

Requires Python ≥ 3.11

Dependencies:

• click ≥ 8.1
• pandas
• 7z (command-line tool)

Install via pip:

pip install .

Command-line Interface

Archive a directory and generate report

dft-pack --path <directory_path> [--report|--no-report] [--aiida|--no-aiida]

• --path Path to the calculation directory
• --report Generate error report and summary (default)
• --no-report Skip report generation
• --aiida Extract UUID from AiiDA directory structure
• --no-aiida Do not extract UUID

Creates:

• <directory_name>.7z
• report_crystal_<timestamp>.txt and/or report_fleur_<timestamp>.txt
• summary_<timestamp>.csv

Unpack an archive and generate reports

dft-unpack --path <archive_or_directory_path> [--report|--no-report] [--aiida|--no-aiida]

• --path Path to a .7z archive or directory with archives
• --report Generate summary and error reports after extraction (default)
• --no-report Skip report generation
• --aiida Extract UUID from AiiDA directory structure
• --no-aiida Do not extract UUID

Creates under parent directory:

• summary_<timestamp>.csv
• report_crystal_<timestamp>.txt
• report_fleur_<timestamp>.txt

Generate reports without archiving

dft-report --path <directory_path> [--aiida|--no-aiida]

• --path Root directory containing calculations
• --aiida Extract UUID from AiiDA directory structure
• --no-aiida Do not extract UUID

Creates under parent directory:

• summary_<timestamp>.csv
• report_crystal_<timestamp>.txt
• report_fleur_<timestamp>.txt

Python API

Archive a directory and generate an error report

from pathlib import Path
from dft_organizer.archiver import archive_and_remove

archive_and_remove(
	Path("./my_calc_dir"),
	engine="crystal",
	make_report=True,
	aiida=True
)

Restore archived .7z files and generate reports

from pathlib import Path
from dft_organizer.re_archiver import restore_archives_iterative

restore_archives_iterative(
	Path("./archive_dir.7z"),
	engine="crystal",
	generate_reports=True,
	aiida=True
)

Example Report Command

Generate report for a specific calculation UUID:

dft-pack report \
--path aiida_playground_data \
--uuid 0ea8a6be-7199-4c3e-9263-fae76e8d081e \
--engine crystal

Output files:

• summary_uuid_<uuid>_<timestamp>.csv
• errors_uuid_<uuid>_<timestamp>.txt

CSV Summary Fields

• bandgap Band gap value
• cpu_time CPU time
• total_energy Total energy
• s_pop, p_pop, d_pop Mulliken populations
• total_pop Total population
• output_path Full path to OUTPUT file
• uuid Calculation UUID (AiiDA mode only)