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turbineOutputSpectra.py
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turbineOutputSpectra.py
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#!/bin/python3
import logging
LEVEL = logging.DEBUG
logger = logging.getLogger(__name__)
import argparse
import gzip
import numpy as np
import constants as const
import utils
################################################################################
def turbineOutputAverage(casename,blade_sample_to_report=27,overwrite=False):
"""Reads powerRotor from sowfatools directory and calculates amplitude
spectra
Written for Python 3.12, SOWFA 2.4.x for sowfatools
Jeffrey Johnston NotDrJeff@gmail.com June 2024
"""
casedir = const.CASES_DIR / casename
readdir = casedir / const.TURBINEOUTPUT_DIR
if not readdir.is_dir():
logger.warning(f'{readdir.stem} directory does not exist. '
f'Skipping case {casename}.')
return
sowfatoolsdir = casedir / const.SOWFATOOLS_DIR
logfilename = 'log.turbineOutputSpectra'
utils.configure_function_logger(sowfatoolsdir/logfilename, level=LEVEL)
############################################################################
logger.info(f'Calculating Amplitude Spectra from turbineOutput for case '
f'{casename}')
logger.info('')
writedir = casedir / const.SOWFATOOLS_DIR / 'turbineOutputSpectra'
utils.create_directory(writedir)
quantities,turbines,blades = utils.parse_turbineOutput_files(readdir)
for quantity in quantities:
for turbine in turbines:
if quantity in const.TURBINE_QUANTITIES:
logger.info(f'{casename}, {quantity}, turbine{turbine}')
writefile = writedir / (f'{casename}_{quantity}_'
f'turbine{turbine}_spectra.gz')
if (writefile.exists() and overwrite is False):
logger.warning(f'{writefile.name} already exists. '
f'Skippping.')
logger.warning('')
continue
readfile = (readdir
/ f'{casename}_{quantity}_turbine{turbine}.gz')
logger.debug(f'Reading {readfile}')
data = np.genfromtxt(readfile)
header = f'freq {quantity}'
freq = np.fft.rfftfreq(data.shape[0])
fft = np.abs(np.fft.rfft(data[:,2],norm='forward',axis=0))
fft[1:] *= 2
if data.shape[0] % 2 == 0:
fft[0] *=2
data = np.column_stack((freq,fft))
np.savetxt(writefile,data,fmt='%.12g',header=header)
mean = data[0,1]
elif quantity in const.BLADE_QUANTITIES:
for blade in blades:
logger.info(f'{casename}, {quantity}, turbine{turbine}, '
f'blade{blade}')
writefile = writedir / (f'{casename}_{quantity}_'
f'turbine{turbine}_blade{blade}_'
f'spectra.gz')
if (writefile.exists() and overwrite is False):
logger.warning(f'{writefile.name} already exists. '
f'Skippping.')
logger.warning('')
continue
readfile = readdir / (f'{casename}_{quantity}_'
f'turbine{turbine}_blade{blade}.gz')
logger.debug(f'Reading {readfile}')
data = np.genfromtxt(readfile)
header = f'freq ' + ' '.join([f'{quantity}_{i}'
for i in range(data.shape[1]-2)])
freq = np.fft.rfftfreq(data.shape[0])
fft = np.abs(np.fft.rfft(data[:,2:],norm='forward',axis=0))
fft[1:] *= 2
if data.shape[0] % 2 == 0:
fft[0] *=2
data = np.column_stack((freq,fft))
np.savetxt(writefile,data,fmt='%.12g',header=header)
mean = data[0,blade_sample_to_report]
if 'mean' in locals():
logger.info(f'Mean amplitude from spectra is is {mean:.5e}')
logger.info('')
logger.info(f'Finished case {casename}')
logger.info('')
################################################################################
if __name__ == '__main__':
utils.configure_root_logger(level=LEVEL)
description = "Calculate Running Average for turbineOutput"""
parser = argparse.ArgumentParser(description=description)
parser.add_argument('cases', help='list of cases to perform analysis for',
nargs='+')
args = parser.parse_args()
logger.debug(f'Parsed the command line arguments: {args}')
for casename in args.cases:
turbineOutputAverage(casename)