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internship/swash/processing/sws_npz.py

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import argparse
import configparser
import logging
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from multiprocessing.pool import Pool
import pathlib
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import numpy as np
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import pandas as pd
from .read_swash import ReadSwash
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parser = argparse.ArgumentParser(description="Convert swash output to numpy")
parser.add_argument("-v", "--verbose", action="count", default=0)
args = parser.parse_args()
logging.basicConfig(level=max((10, 20 - 10 * args.verbose)))
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log = logging.getLogger("sws_npz")
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log.info("Starting sws -> npz converter")
config = configparser.ConfigParser()
config.read("config.ini")
sws_out = pathlib.Path(config.get("swash", "out"))
inp = pathlib.Path(config.get("post", "inp"))
log.info(f"Reading swash output from '{sws_out}'")
rsws = ReadSwash()
rsws.read_time(sws_out.joinpath("tsec.dat"))
rsws.read_x(sws_out.joinpath("xp.dat"))
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var = {
"dep": rsws.read_scalar,
"botl": rsws.read_const,
"watl": rsws.read_scalar,
"vel": rsws.read_vector,
"press": rsws.read_scalar,
"zk": rsws.read_scalar_lay,
"velk": rsws.read_vector_lay,
}
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inp.mkdir(exist_ok=True)
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with Pool() as pool:
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pool.map(
lambda name, f: np.save(
inp.joinpath(name), f(sws_out.joinpath(name).with_suffix(".dat"))
),
var.items(),
)