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batch_pickle_mp_charge_density.py
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batch_pickle_mp_charge_density.py
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#!/bin/python
# Copyright (c) 2023, MASSACHUSETTS INSTITUTE OF TECHNOLOGY
# Subject to FAR 52.227-11 - Patent Rights - Ownership by the Contractor (May 2014).
import sys
import argparse
from pathlib import Path
from src.utils.data import decompress_file, read_vasp, load_numpy_density
from tqdm import tqdm
import numpy as np
import pickle
def main(mp_chg_dir, mp_pkl_dir, my_task_id, num_tasks, read_spin):
mp_pkl_dir.mkdir(exist_ok=True)
err_file = mp_pkl_dir / "errfile.txt"
# get all mp materials
with open(mp_chg_dir / "filelist.txt", "r") as f:
mp_ids = [s.strip() for s in f.readlines()]
mp_all = [mp_chg_dir / mpid for mpid in mp_ids]
# get this task indices
my_fnames = mp_all[my_task_id:len(mp_all):num_tasks]
# iterate through my fnames
for fname in tqdm(my_fnames, desc="Job files"):
mpid = fname.parts[-1]
chgcar_file = fname / "CHGCAR"
if not chgcar_file.exists():
print(f"Recorded an error with file {fname.stem}")
with open(err_file, "a+") as f:
f.write(f"{fname.stem}\n")
continue
# load data
dec = decompress_file(str(chgcar_file))
density, atoms, origin = read_vasp(dec, read_spin=read_spin)
# dump data to pickle with np.save
density_file = (mp_pkl_dir / mpid).with_suffix(".npy")
atoms_file = (mp_pkl_dir / f'{mpid}_atoms').with_suffix(".pkl")
if not density_file.exists():
np.save(str(density_file), density)
with open(atoms_file, "wb") as f:
pickle.dump(atoms, f)
# check for errors
density2, atoms2 = load_numpy_density(root=mp_pkl_dir, mpid=mpid)
if not (np.all(density2 == density) and atoms2 == atoms):
# error!
print(f"Recorded an error with file {fname.stem}")
with open(err_file, "a+") as f:
f.write(f"{fname.stem}\n")
if __name__ == "__main__":
# Grab the arguments that are passed in
parser = argparse.ArgumentParser(
prog="ChargeConverter",
description="From a directory with mp structures as subdirectories, outputs an atoms object representing the structure and a (nx, ny, nz, 2) npy array representing the gridded charge density and spin density"
)
parser.add_argument("raw_data_dir", type=str, help="path to directory of mpid subdirs, each containing a CHGCAR")
parser.add_argument("pkl_data_dir", type=str, help="path to new directory to contain all pickled data")
parser.add_argument('my_task_id', type=int, default=0)
parser.add_argument('num_tasks', type=int, default=1)
parser.add_argument('-s', '--spin', type=bool, default=False)
args = parser.parse_args()
main(args.raw_data_dir, args.pkl_data_dir, args.my_task_id, args.num_tasks, args.spin)