import argparse import configparser import logging import pathlib from multiprocessing.pool import ThreadPool import numpy as np import pandas as pd from .read_swash import ReadSwash 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("sws_npz") log.info("Starting sws -> npz converter") config = configparser.ConfigParser() config.read("config.ini") sws_out = pathlib.Path(config.get("swash", "out")) inp = pathlib.Path(config.get("post", "inp")) log.info(f"Reading swash output from '{sws_out}'") rsws = ReadSwash() np.save(inp.joinpath("tsec"), rsws.read_time(sws_out.joinpath("tsec.dat"))) np.save(inp.joinpath("xp"), rsws.read_x(sws_out.joinpath("xp.dat"))) var = { "dep": rsws.read_scalar, "botl": rsws.read_const, "watl": rsws.read_scalar, "vel": rsws.read_vector, "press": rsws.read_scalar, "zk": rsws.read_scalar_lay, "velk": rsws.read_vector_lay, "vz": rsws.read_scalar_lay, } inp.mkdir(exist_ok=True) with ThreadPool() as pool: log.info("Converting all data") pool.map( lambda x: np.save( inp.joinpath(x[0]), x[1](sws_out.joinpath(x[0]).with_suffix(".dat")), ), var.items(), )