New olaflow run processus, includeing paddle boundary condition

olaflow/processing/sws_wavedict_paddle.py

@@ -0,0 +1,58 @@
+import argparse
+import configparser
+import logging
+import pathlib
+
+import matplotlib.pyplot as plt
+import numpy as np
+from scipy import interpolate
+from scipy import fft
+
+from .olaflow import OFModel
+
+parser = argparse.ArgumentParser(description="Convert swash output to olaFlow input")
+parser.add_argument("-v", "--verbose", action="count", default=0)
+parser.add_argument("-c", "--config", default="config.ini")
+parser.add_argument("-o", "--output", type=pathlib.Path)
+args = parser.parse_args()
+
+logging.basicConfig(level=max((10, 20 - 10 * args.verbose)))
+log = logging.getLogger("sws_ola")
+
+log.info("Starting sws -> olaFlow converter")
+config = configparser.ConfigParser()
+config.read(args.config)
+level = config.getfloat("bathy", "level", fallback=0.)
+
+sws_out = pathlib.Path(config.get("swash", "np_out"))
+
+
+def data(var):
+    return np.load(sws_out.joinpath(f"{var}.npy"))
+
+
+x = data("x")
+t_ = data("t")
+
+vel = data("vel")
+watl = data("watl")
+
+x0 = config.getfloat("olaflow", "x0")
+arg_x0 = np.argmin(np.abs(x - x0))
+t0 = config.getfloat("olaflow", "t0")
+tf = config.getfloat("olaflow", "tf")
+arg_t0 = -np.argmax(t_[::-1] < (t0 * 1e3))
+arg_tf = np.argmax(t_ > (tf * 1e3)) + 1
+
+t = t_[arg_t0:arg_tf] * 1e-3
+t = t - t.min()
+wl = watl[arg_t0:arg_tf, arg_x0]
+v = vel[0, arg_t0:arg_tf, arg_x0]
+
+olaflow_root = args.output
+org = olaflow_root.joinpath("constant", "waveDict_paddle.org").read_text()
+org = org.replace("{n}", str(t.size))
+org = org.replace("{t}", "\n".join(t.astype(np.str_)))
+org = org.replace("{v}", "\n".join(v.astype(np.str_)))
+org = org.replace("{eta}", "\n".join(wl.astype(np.str_)))
+olaflow_root.joinpath("constant", "waveDict").write_text(org)