Skip to main content

ORCA high-throughput pipeline orchestrator

Project description

orcastrator

chain orca calculations together to build complex quantum chemistry pipelines.

Usage

from pathlib import Path
import logging

from logger import configure_logging

from orcastrator import Calculation

configure_logging(level=logging.DEBUG)

opt = Calculation(
    name="opt",
    root_dir=Path("test/scratch"),
    level_of_theory="! OPT D4 TPSS def2-SVP",
    charge=0,
    mult=1,
    xyz_string=Path("test/h2.xyz").read_text(),
    overwrite=True,
)
opt_result = opt.run()
print(opt_result.directory)

sp = Calculation(
    name="sp",
    root_dir=opt.root_dir,
    level_of_theory="! D4 TPSSh def2-TZVP",
    charge=opt.charge,
    mult=opt.mult,
    xyz_string=opt_result.geometry,
    overwrite=True,
)
sp.run()

Design

A single executable that runs all calculations itself. This means that the orcastrator run has to be submitted to SLURM by itself.

Calculation objects compose with an instance of a QCEngine class, which implements a run() method takes consumes a Calculation object and return its results (or smth).

What does a Calculation need? I'll focus on pure ORCA calculations, because I don't really use anything else anyway. The QCEngine is still a good idea because e.g. there are different ORCA versions etc. Alternatively, the Calculation is just a directory, containing at least an input file.

How can i represent the directory tree of the calculations? I think the orcastrator should probably consume its own toml input file.

How might that look?

xyz_file = "guess.xyz"
charge = 0
mult = 1

[opt_freq]
input = """
! OPT FREQ
! D4 TPSS def2/TZVP

* XYZFILE $charge $mult $xyz_file
"""

[tddft]
input = """
! D4 TPSSh def2/TZVP

%TDDFT
    NROOTS 16
END

* XYZFILE $charge $mult $opt_freq.xyz_file
"""

hmm.. maybe it's better to create everything programmatically.

opt_freq_template = """
! OPT FREQ ...

* XYZFILE $charge $mult $xyz_file
"""
tddft_template = """
! D4 TPSSh ...

* XYZFILE $charge $mult $xyz_file
"""

settings = dict(
    charge=0,
    mult=1,
    xyz_file="guess.xyz"
    engine=OrcaEngine(version="6.0.1", scratch="/scratch")
)

opt_freq = Calculation(input_template=opt_freq_template, settings)
tddft = Calculation(input_template=tddft_template, settings)

opt_freq.run()

tddft.xyz_file = opt_freq.files.optimized_xyz_file
tddft.run()

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

orcastrator-0.6.11.tar.gz (60.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

orcastrator-0.6.11-py3-none-any.whl (17.9 kB view details)

Uploaded Python 3

File details

Details for the file orcastrator-0.6.11.tar.gz.

File metadata

  • Download URL: orcastrator-0.6.11.tar.gz
  • Upload date:
  • Size: 60.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.5.20

File hashes

Hashes for orcastrator-0.6.11.tar.gz
Algorithm Hash digest
SHA256 042d768066a0be7d281de8d8386c4b3400c8fe1371608579c73db7aff4792844
MD5 567f89f50955196207a38348630827b8
BLAKE2b-256 8dea780fbd414210550c4dab57071991d28b685c2db06016c911ff0e088f96ca

See more details on using hashes here.

File details

Details for the file orcastrator-0.6.11-py3-none-any.whl.

File metadata

File hashes

Hashes for orcastrator-0.6.11-py3-none-any.whl
Algorithm Hash digest
SHA256 2988676058e4eb4abf4ff4e4823cc1546af70aa2d6e391f9b53d0aa7cf8bef24
MD5 4e761034ede8a632555a40c5552a03a9
BLAKE2b-256 e47eb51fc27bb7478a053a6f205cf9fdf8b0a2e78c03f330ebefe34a22ddb8bb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page