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# -*- coding: utf-8 -*-
"""
Created on Thu Sep 18 13:00:25 2014
@author: dave
"""
from __future__ import division
from __future__ import print_function
import os
import socket
from argparse import ArgumentParser
#import numpy as np
#import pandas as pd
from matplotlib import pyplot as plt
#import matplotlib as mpl
import Simulations as sim
#import misc
#import windIO
import dlcdefs
import dlcplots
plt.rc('font', family='serif')
plt.rc('xtick', labelsize=10)
plt.rc('ytick', labelsize=10)
plt.rc('axes', labelsize=12)
# on Gorm tex printing doesn't work
if not socket.gethostname()[:2] == 'g-':
plt.rc('text', usetex=True)
plt.rc('legend', fontsize=11)
plt.rc('legend', numpoints=1)
plt.rc('legend', borderaxespad=0)
# =============================================================================
### MODEL
# =============================================================================
def master_tags(sim_id, runmethod='local', silent=False, verbose=False):
"""
Create HtcMaster() object
=========================
the HtcMaster contains all the settings to start creating htc files.
It holds the master file, server paths and more.
The master.tags dictionary holds those tags who do not vary for different
cases. Variable tags, i.e. tags who are a function of other variables
or other tags, are defined in the function variable_tag_func().
It is considered as good practice to define the default values for all
the variable tags in the master_tags
Members
-------
Returns
-------
"""
# TODO: write a lot of logical tests for the tags!!
# TODO: tests to check if the dirs are setup properly (ending slahses ...)
# FIXME: some tags are still variable! Only static tags here that do
# not depent on any other variable that can change
master = sim.HtcMaster(verbose=verbose, silent=silent)
# set the default tags
master = dlcdefs.tags_defaults(master)
# =========================================================================
# SOURCE FILES
# =========================================================================
# # TODO: move to variable_tag
# rpl = (p_root, project, sim_id)
# if runmethod in ['local', 'local-script', 'none', 'local-ram']:
# master.tags['[run_dir]'] = '%s/%s/%s/' % rpl
# elif runmethod == 'windows-script':
# master.tags['[run_dir]'] = '%s/%s/%s/' % rpl
# elif runmethod == 'gorm':
# master.tags['[run_dir]'] = '%s/%s/%s/' % rpl
# elif runmethod == 'jess':
# master.tags['[run_dir]'] = '%s/%s/%s/' % rpl
# else:
# msg='unsupported runmethod, options: none, local, gorm or opt'
# raise ValueError, msg
master.tags['[master_htc_file]'] = MASTERFILE
master.tags['[master_htc_dir]'] = P_MASTERFILE
# directory to data, htc, SOURCE DIR
if P_SOURCE[-1] == os.sep:
master.tags['[model_dir_local]'] = P_SOURCE
else:
master.tags['[model_dir_local]'] = P_SOURCE + os.sep
if P_RUN[-1] == os.sep:
master.tags['[run_dir]'] = P_RUN
else:
master.tags['[run_dir]'] = P_RUN + os.sep
master.tags['[post_dir]'] = POST_DIR
master.tags['[sim_id]'] = sim_id
# set the model_zip tag to include the sim_id
master.tags['[model_zip]'] = PROJECT
master.tags['[model_zip]'] += '_' + master.tags['[sim_id]'] + '.zip'
# -------------------------------------------------------------------------
return master
def variable_tag_func(master, case_id_short=False):
"""
Function which updates HtcMaster.tags and returns an HtcMaster object
Only use lower case characters for case_id since a hawc2 result and
logfile are always in lower case characters.
BE CAREFULL: if you change a master tag that is used to dynamically
calculate an other tag, that change will be propageted over all cases,
for example:
master.tags['tag1'] *= master.tags[tag2]*master.tags[tag3']
it will accumlate over each new case. After 20 cases
master.tags['tag1'] = (master.tags[tag2]*master.tags[tag3'])^20
which is not wanted, you should do
master.tags['tag1'] = tag1_base*master.tags[tag2]*master.tags[tag3']
This example is based on reading the default DLC spreadsheets, and is
already included in the dlcdefs.excel_stabcon
"""
mt = master.tags
dlc_case = mt['[Case folder]']
mt['[data_dir]'] = 'data/'
mt['[res_dir]'] = 'res/%s/' % dlc_case
mt['[log_dir]'] = 'logfiles/%s/' % dlc_case
mt['[htc_dir]'] = 'htc/%s/' % dlc_case
mt['[case_id]'] = mt['[Case id.]']
mt['[time_stop]'] = mt['[time stop]']
mt['[turb_base_name]'] = mt['[Turb base name]']
mt['[DLC]'] = mt['[Case id.]'].split('_')[0][3:]
mt['[pbs_out_dir]'] = 'pbs_out/%s/' % dlc_case
mt['[pbs_in_dir]'] = 'pbs_in/%s/' % dlc_case
mt['[iter_dir]'] = 'iter/%s/' % dlc_case
if mt['[eigen_analysis]']:
rpl = os.path.join(dlc_case, mt['[Case id.]'])
mt['[eigenfreq_dir]'] = 'res_eigen/%s/' % rpl
mt['[duration]'] = str(float(mt['[time_stop]']) - float(mt['[t0]']))
# replace nan with empty
for ii, jj in mt.iteritems():
if jj == 'nan':
mt[ii] = ''
return master
# =============================================================================
### PRE- POST
# =============================================================================
def launch_dlcs_excel(sim_id):
"""
Launch load cases defined in Excel files
"""
iter_dict = dict()
iter_dict['[empty]'] = [False]
# see if a htc/DLCs dir exists
dlcs_dir = os.path.join(P_SOURCE, 'htc', 'DLCs')
if os.path.exists(dlcs_dir):
opt_tags = dlcdefs.excel_stabcon(dlcs_dir)
else:
opt_tags = dlcdefs.excel_stabcon(os.path.join(P_SOURCE, 'htc'))
if len(opt_tags) < 1:
raise ValueError('There are is not a single case defined. Make sure '
'the DLC spreadsheets are configured properly.')
# add all the root files, except anything with *.zip
f_ziproot = []
for (dirpath, dirnames, fnames) in os.walk(P_SOURCE):
# remove all zip files
for i, fname in enumerate(fnames):
if fname.endswith('.zip'):
fnames.pop(i)
f_ziproot.extend(fnames)
break
# and add those files
for opt in opt_tags:
opt['[zip_root_files]'] = f_ziproot
runmethod = 'gorm'
# runmethod = 'local-script'
# runmethod = 'windows-script'
# runmethod = 'jess'
master = master_tags(sim_id, runmethod=runmethod)
master.tags['[sim_id]'] = sim_id
master.output_dirs.append('[Case folder]')
master.output_dirs.append('[Case id.]')
# TODO: copy master and DLC exchange files to p_root too!!
# all tags set in master_tags will be overwritten by the values set in
# variable_tag_func(), iter_dict and opt_tags
# values set in iter_dict have precedence over opt_tags
# variable_tag_func() has precedense over iter_dict, which has precedence
# over opt_tags. So opt_tags comes last
# variable_tag func is not required because everything is already done
# in dlcdefs.excel_stabcon
no_variable_tag_func = None
sim.prepare_launch(iter_dict, opt_tags, master, no_variable_tag_func,
write_htc=True, runmethod=runmethod, verbose=False,
copyback_turb=True, msg='', update_cases=False,
ignore_non_unique=False, run_only_new=False,
pbs_fname_appendix=False, short_job_names=False)
def launch_param(sim_id):
"""
Launch parameter variations defined according to the Simulations syntax
"""
# MODEL SOURCES, exchanche file sources
# p_local = '/mnt/vea-group/AED/STABCON/SIM/NREL5MW'
# p_local = '%s/%s' % (P_SOURCE, PROJECT)
# target run dir (is defined in the master_tags)
# p_root = '/mnt/gorm/HAWC2/NREL5MW'
iter_dict = dict()
iter_dict['[Windspeed]'] = [False]
opt_tags = []
runmethod = 'gorm'
# runmethod = 'local'
# runmethod = 'linux-script'
# runmethod = 'windows-script'
# runmethod = 'jess'
master = master_tags(sim_id, runmethod=runmethod)
master.tags['[hawc2_exe]'] = 'hawc2-latest'
master.tags['[sim_id]'] = sim_id
master.output_dirs.append('[Case folder]')
master.output_dirs.append('[Case id.]')
# TODO: copy master and DLC exchange files to p_root too!!
# all tags set in master_tags will be overwritten by the values set in
# variable_tag_func(), iter_dict and opt_tags
# values set in iter_dict have precedence over opt_tags
# variable_tag_func() has precedense over iter_dict, which has precedence
# over opt_tags. So opt_tags comes last
sim.prepare_launch(iter_dict, opt_tags, master, variable_tag_func,
write_htc=True, runmethod=runmethod, verbose=False,
copyback_turb=False, msg='', update_cases=False,
ignore_non_unique=False, run_only_new=False,
pbs_fname_appendix=False, short_job_names=False)
def post_launch(sim_id, statistics=True, rem_failed=True, check_logs=True,
force_dir=False, update=False, saveinterval=2000, csv=False,
fatigue_cycles=False, m=[1, 3, 4, 5, 6, 8, 10, 12, 14],
neq=1e6, no_bins=46, years=20.0, fatigue=True, nn_twb=1,
nn_twt=20, nn_blr=4, A=None, save_new_sigs=False,
envelopeturbine=False, envelopeblade=False, save_iter=False):
# =========================================================================
# check logfiles, results files, pbs output files
# logfile analysis is written to a csv file in logfiles directory
# =========================================================================
# load the file saved in post_dir
config = {}
config['Weibull'] = {}
config['Weibull']['Vr'] = 11.
config['Weibull']['Vref'] = 50
config['nn_shaft'] = 4
cc = sim.Cases(POST_DIR, sim_id, rem_failed=rem_failed, config=config)
cc.force_lower_case_id()
if force_dir:
for case in cc.cases:
cc.cases[case]['[post_dir]'] = POST_DIR
cc.cases[case]['[run_dir]'] = force_dir
if check_logs:
cc.post_launch(save_iter=save_iter)
elif rem_failed:
cc.remove_failed()
# using suffix is only relevant if we have more cases then the save interval
if len(cc.cases) > saveinterval:
suffix = True
else:
suffix = False
df_stats, df_AEP, df_Leq = None, None, None
if statistics:
# for the default load case analysis, add mechanical power
# add = {'ch1_name':'shaft-shaft-node-004-momentvec-z',
# 'ch2_name':'Omega',
# 'ch_name_add':'mechanical-power-floater-floater-001',
# 'factor':1.0, 'operator':'*'}
# for the AVATAR DLB, following resultants are defined:
chs_resultant = [['tower-tower-node-%03i-momentvec-x' % nn_twb,
'tower-tower-node-%03i-momentvec-y' % nn_twb],
['tower-tower-node-%03i-momentvec-x' % nn_twt,
'tower-tower-node-%03i-momentvec-y' % nn_twt],
['shaft-shaft-node-004-momentvec-x',
'shaft-shaft-node-004-momentvec-z'],
['shaft-shaft-node-004-momentvec-y',
'shaft-shaft-node-004-momentvec-z'],
['shaft_nonrotate-shaft-node-004-momentvec-x',
'shaft_nonrotate-shaft-node-004-momentvec-z'],
['shaft_nonrotate-shaft-node-004-momentvec-y',
'shaft_nonrotate-shaft-node-004-momentvec-z'],
['blade1-blade1-node-%03i-momentvec-x' % nn_blr,
'blade1-blade1-node-%03i-momentvec-y' % nn_blr],
['blade2-blade2-node-%03i-momentvec-x' % nn_blr,
'blade2-blade2-node-%03i-momentvec-y' % nn_blr],
['blade3-blade3-node-%03i-momentvec-x' % nn_blr,
'blade3-blade3-node-%03i-momentvec-y' % nn_blr],
['hub1-blade1-node-%03i-momentvec-x' % nn_blr,
'hub1-blade1-node-%03i-momentvec-y' % nn_blr],
['hub2-blade2-node-%03i-momentvec-x' % nn_blr,
'hub2-blade2-node-%03i-momentvec-y' % nn_blr],
['hub3-blade3-node-%03i-momentvec-x' % nn_blr,
'hub3-blade3-node-%03i-momentvec-y' % nn_blr]]
i0, i1 = 0, -1
tags = cc.cases[cc.cases.keys()[0]].keys()
add = None
# general statistics for all channels channel
df_stats = cc.statistics(calc_mech_power=True, i0=i0, i1=i1,
tags=tags, add_sensor=add, ch_fatigue=None,
update=update, saveinterval=saveinterval,
suffix=suffix, fatigue_cycles=fatigue_cycles,
csv=csv, m=m, neq=neq, no_bins=no_bins,
chs_resultant=chs_resultant, A=A,
save_new_sigs=save_new_sigs)
# annual energy production
df_AEP = cc.AEP(df_stats, csv=csv, update=update, save=True)
if envelopeblade:
ch_list = []
for iblade in range(1, 4):
for i in range(1, 18):
rpl = (iblade, iblade, i)
ch_list.append(['blade%i-blade%i-node-%3.3i-momentvec-x' % rpl,
'blade%i-blade%i-node-%3.3i-momentvec-y' % rpl,
'blade%i-blade%i-node-%3.3i-momentvec-z' % rpl,
'blade%i-blade%i-node-%3.3i-forcevec-x' % rpl,
'blade%i-blade%i-node-%3.3i-forcevec-y' % rpl,
'blade%i-blade%i-node-%3.3i-forcevec-z' % rpl])
cc.envelope(ch_list=ch_list, append='_blade')
if envelopeturbine:
ch_list = [['tower-tower-node-001-momentvec-x',
'tower-tower-node-001-momentvec-y',
'tower-tower-node-001-momentvec-z'],
['tower-tower-node-022-momentvec-x',
'tower-tower-node-022-momentvec-y',
'tower-tower-node-022-momentvec-z',
'tower-tower-node-022-forcevec-x',
'tower-tower-node-022-forcevec-y',
'tower-tower-node-022-forcevec-z'],
['hub1-hub1-node-001-momentvec-x',
'hub1-hub1-node-001-momentvec-y',
'hub1-hub1-node-001-momentvec-z']]
cc.envelope(ch_list=ch_list, append='_turbine')
if fatigue:
# load the statistics in case they are missing
if not statistics:
df_stats, Leq_df, AEP_df = cc.load_stats()
# life time equivalent load for all channels
df_Leq = cc.fatigue_lifetime(df_stats, neq, csv=csv, update=update,
years=years, save=True)
return df_stats, df_AEP, df_Leq
if __name__ == '__main__':
parser = ArgumentParser(description = "pre- or post-processes DLC's")
parser.add_argument('--prep', action='store_true', default=False,
dest='prep', help='create htc, pbs, files')
parser.add_argument('--check_logs', action='store_true', default=False,
dest='check_logs', help='check the log files')
parser.add_argument('--stats', action='store_true', default=False,
dest='stats', help='calculate statistics')
parser.add_argument('--fatigue', action='store_true', default=False,
dest='fatigue', help='calculate Leq for a full DLC')
parser.add_argument('--csv', action='store_true', default=False,
dest='csv', help='Save data also as csv file')
parser.add_argument('--years', type=float, default=20.0, action='store',
dest='years', help='Total life time in years')
parser.add_argument('--no_bins', type=float, default=46.0, action='store',
dest='no_bins', help='Number of bins for fatigue loads')
parser.add_argument('--neq', type=float, default=1e6, action='store',
dest='neq', help='Equivalent cycles neq')
parser.add_argument('--nn_twt', type=float, default=20, action='store',
dest='nn_twt', help='Node number tower top')
parser.add_argument('--nn_blr', type=float, default=4, action='store',
dest='nn_blr', help='Node number blade root')
parser.add_argument('--rotarea', type=float, default=4, action='store',
dest='rotarea', help='Rotor area for C_T, C_P')
parser.add_argument('--save_new_sigs', default=False, action='store_true',
dest='save_new_sigs', help='Save post-processed sigs')
parser.add_argument('--dlcplot', default=False, action='store_true',
dest='dlcplot', help='Plot DLC load basis results')
parser.add_argument('--envelopeblade', default=False, action='store_true',
dest='envelopeblade', help='Compute envelopeblade')
parser.add_argument('--envelopeturbine', default=False, action='store_true',
dest='envelopeturbine', help='Compute envelopeturbine')
opt = parser.parse_args()
# auto configure directories: assume you are running in the root of the
# relevant HAWC2 model
# and assume we are in a simulation case of a certain turbine/project
P_RUN, P_SOURCE, PROJECT, sim_id, P_MASTERFILE, MASTERFILE, POST_DIR \
= dlcdefs.configure_dirs(verbose=True)
# TODO: use arguments to determine the scenario:
# --plots, --report, --...
# -------------------------------------------------------------------------
# # manually configure all the dirs
# p_root_remote = '/mnt/hawc2sim'
# p_root_local = '/home/dave/DTU/Projects/AVATAR/'
# # project name, sim_id, master file name
# PROJECT = 'DTU10MW'
# sim_id = 'C0014'
# MASTERFILE = 'dtu10mw_master_C0014.htc'
# # MODEL SOURCES, exchanche file sources
# P_RUN = os.path.join(p_root_remote, PROJECT, sim_id+'/')
# P_SOURCE = os.path.join(p_root_local, PROJECT)
# # location of the master file
# P_MASTERFILE = os.path.join(p_root_local, PROJECT, 'htc', '_master/')
# # location of the pre and post processing data
# POST_DIR = os.path.join(p_root_remote, PROJECT, 'python-prepost-data/')
# force_dir = P_RUN
# launch_dlcs_excel(sim_id)
# post_launch(sim_id, check_logs=True, update=False, force_dir=force_dir,
# saveinterval=2000, csv=False)
# -------------------------------------------------------------------------
# create HTC files and PBS launch scripts (*.p)
if opt.prep:
print('Start creating all the htc files and pbs_in files...')
launch_dlcs_excel(sim_id)
# post processing: check log files, calculate statistics
if opt.check_logs or opt.stats or opt.fatigue or opt.envelopeblade or opt.envelopeturbine:
post_launch(sim_id, check_logs=opt.check_logs, update=False,
force_dir=P_RUN, saveinterval=2000, csv=opt.csv,
statistics=opt.stats, years=opt.years, neq=opt.neq,
fatigue=opt.fatigue, fatigue_cycles=True, A=opt.rotarea,
no_bins=opt.no_bins, nn_blr=opt.nn_blr, nn_twt=opt.nn_twt,
save_new_sigs=opt.save_new_sigs, save_iter=False,
envelopeturbine=opt.envelopeturbine,
envelopeblade=opt.envelopeblade)
if opt.dlcplot:
sim_ids = [sim_id]
figdir = os.path.join(P_RUN, '..', 'figures/%s' % '-'.join(sim_ids))
dlcplots.plot_stats2(sim_ids, [POST_DIR], fig_dir_base=figdir)