55 lines
1.5 KiB
Python
55 lines
1.5 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 scipy import fft
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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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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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log.warning("This does not provide the correct boundary condition")
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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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x = data("x")
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t = data("t")[-100:]
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watl = data("watl")
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arg_x0 = np.argmin(np.abs(x + 1250))
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wl = watl[-100:, arg_x0]
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f = fft.rfftfreq(t.size, np.diff(t).mean())[1:]
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w_fft = fft.rfft(wl, norm="forward")[1:]
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amp = np.abs(w_fft)
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phi = np.angle(w_fft)
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olaflow_root = pathlib.Path(config.get("olaflow", "root"))
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org = olaflow_root.joinpath("constant", "waveDict_irregular.org").read_text()
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org = org.replace("{n}", str(f.size))
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org = org.replace("{wh}", "\n".join(amp.astype(np.str_)))
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org = org.replace("{wph}", "\n".join(phi.astype(np.str_)))
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org = org.replace("{wper}", "\n".join((1 / f).astype(np.str_)))
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olaflow_root.joinpath("constant", "waveDict").write_text(org)
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print(f, amp, phi, sep="\n")
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