internship/swash/processing/sws_npz.py

import argparse
import configparser
import pathlib
import logging

import pandas as pd

from .read_swash import *


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")

data_out = pathlib.Path(config.get("data", "out"))
sws_out = pathlib.Path(config.get("swash", "out"))
inp = pathlib.Path(config.get("post", "inp"))

log.info(f"Reading bathymetry from '{data_out}'")
bathy = pd.read_hdf(data_out.joinpath("bathy.h5"), "bathy")
n_x = bathy.index.size

log.info(f"Reading swash output from '{sws_out}'")
botl = read_nohead_scalar(sws_out.joinpath("botl.dat"), n_x)
dep = np.maximum(0, read_nohead_scalar(sws_out.joinpath("dep.dat"), n_x))
vel = read_nohead_vect(sws_out.joinpath("vel.dat"), n_x)

dt = config.getfloat("post", "dt")
n_t = botl.shape[0]
t = np.arange(0, n_t * dt, dt)

log.info(f"Writing npz file in '{inp}'")
inp.mkdir(exist_ok=True)
np.savez_compressed(
    inp.joinpath("sws"), x=bathy.index, t=t, botl=botl[0, :], dep=dep, vel=vel
)