65 lines
1.7 KiB
Python
65 lines
1.7 KiB
Python
import argparse
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import configparser
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import logging
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import pathlib
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import matplotlib.pyplot as plt
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import numpy as np
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from scipy import interpolate
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from .olaflow import OFModel
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parser = argparse.ArgumentParser(description="Convert swash output to olaFlow input")
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parser.add_argument("-v", "--verbose", action="count", default=0)
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parser.add_argument("-c", "--config", default="config.ini")
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parser.add_argument("-o", "--output", type=pathlib.Path)
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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_ola")
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log.info("Starting sws -> olaFlow converter")
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config = configparser.ConfigParser()
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config.read(args.config)
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sws_out = pathlib.Path(config.get("swash", "np_out"))
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def data(var):
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return np.load(sws_out.joinpath(f"{var}.npy"))
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t0 = config.getfloat("olaflow", "t0")
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x = data("x")
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t = data("t")
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arg_t0 = np.argmin(np.abs(t - t0 * 1e3))
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watl = data("watl")
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zk = data("zk")
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velk, _ = data("velk")
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vz = data("vz")
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olaflow_root = args.output
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model = OFModel(olaflow_root)
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model.read_mesh()
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level = config.getfloat("bathy", "level", fallback=0.0)
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watl_t = interpolate.interp1d(x, watl[arg_t0] + level)
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alpha_water = np.where(model.z < watl_t(model.x), 1, 0)
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zk_t = interpolate.interp1d(x, zk[arg_t0] + level)
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velk_t = interpolate.interp1d(x, velk[arg_t0, :, :])(model.x)
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vz_t = interpolate.interp1d(x, vz[arg_t0])(model.x)
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zk_tl = zk_t(model.x)
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ux = np.zeros(model.x.shape)
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uy = np.zeros(model.x.shape)
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uz = np.zeros(model.x.shape)
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for zk_l, velk_l, vz_l in zip(zk_tl, velk_t, vz_t):
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ux = np.where(model.z < zk_l, velk_l, ux)
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uz = np.where(model.z < zk_l, vz_l, uz)
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model.write_field("alpha.water", alpha_water)
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model.write_vector_field("U", np.stack((ux, uy, uz)).T)
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