38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
import argparse
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import configparser
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import pathlib
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import logging
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import pandas as pd
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from .read_swash import *
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parser = argparse.ArgumentParser(description="Convert swash output to numpy")
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parser.add_argument("-v", "--verbose", action="count", default=0)
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args = parser.parse_args()
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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")
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config = configparser.ConfigParser()
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config.read("config.ini")
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data_out = pathlib.Path(config.get("data", "out"))
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sws_out = pathlib.Path(config.get("swash", "out"))
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inp = pathlib.Path(config.get("post", "inp"))
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log.info(f"Reading bathymetry from '{data_out}'")
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bathy = pd.read_hdf(data_out.joinpath("bathy.h5"), "bathy")
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n_x = bathy.index.size
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log.info(f"Reading swash output from '{sws_out}'")
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botl = read_nohead_scalar(sws_out.joinpath("botl.dat"), n_x)[0, :]
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dep = np.maximum(0, read_nohead_scalar(sws_out.joinpath("dep.dat"), n_x))
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vel = read_nohead_vect(sws_out.joinpath("vel.dat"), n_x)
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log.info(f"Writing npz file in '{inp}'")
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inp.mkdir(exist_ok=True)
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np.savez_compressed(inp.joinpath("sws"), botl=botl, dep=dep, vel=vel)
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