internship/swash/processing/sws_npz.py

import argparse
import configparser
import logging
import pathlib

import numpy as np
import pandas as pd

from .read_swash import ReadSwash

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)))
log = logging.getLogger("sws_npz")

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"))

log.info("Reading 'dep'")
rsws.read_scalar(sws_out.joinpath("dep.dat"))
log.info("Reading 'botl'")
rsws.read_scalar(sws_out.joinpath("botl.dat"), const=True)
log.info("Reading 'watl'")
rsws.read_scalar(sws_out.joinpath("watl.dat"))
log.info("Reading 'vel'")
rsws.read_vector(sws_out.joinpath("vel.dat"))

log.info(f"Writing npz file in '{inp}'")
inp.mkdir(exist_ok=True)
np.savez_compressed(inp.joinpath("sws"), t=rsws.t, x=rsws.x, **rsws.data)