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("post") 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) inp.mkdir(exist_ok=True) np.savez_compressed(inp.joinpath("sws"), botl=botl, dep=dep, vel=vel)