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amrwind_frontend.py
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#!/usr/bin/env python
#
# Copyright (c) 2022, Alliance for Sustainable Energy
#
# This software is released under the BSD 3-clause license. See LICENSE file
# for more details.
#
import sys, os, re, shutil
# import the tkyamlgui library
scriptpath=os.path.dirname(os.path.realpath(__file__))
sys.path.insert(1, scriptpath+'/tkyamlgui')
sys.path.insert(1, scriptpath+'/utilities')
sys.path.insert(1, scriptpath)
import numpy as np
from functools import partial
import tkyamlgui as tkyg
import postproamrwindabl as postpro
import postproamrwindsample as ppsample
import convert_abl_stats as MMC_abl_stats
if sys.version_info[0] < 3:
import Tkinter as Tk
import tkFileDialog as filedialog
else:
import tkinter as Tk
from tkinter import filedialog as filedialog
import traceback
# Try the loading the Xvfb package
import platform
hasxvfb=False
if platform.system()=='Linux':
try:
from xvfbwrapper import Xvfb
hasxvfb=True
except:
hasxvfb=False
import numpy as np
from collections import OrderedDict
from matplotlib.collections import PatchCollection
from matplotlib.patches import Rectangle
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import argparse
import subprocess
import signal
import copy
import linecache
# amrwind-frontend libraries
import validateinputs
import OpenFASTutil as OpenFAST
#from plotfunctions import readCartBoxFile, plotRectangle, plot3DBox, rotatepoint, plotTurbine
# -------------------------------------------------------------
class MyApp(tkyg.App, object):
def __init__(self, *args, **kwargs):
self.abl_stats = None
self.sample_ncdat = None
super(MyApp, self).__init__(*args, **kwargs)
self.fig.clf()
self.fig.text(0.35,0.5,'Welcome to\nAMR-Wind')
self.formatgridrows()
self.extradictparams = OrderedDict()
self.abl_profiledata = {}
self.savefile = ''
# for fast output plotting
self.fast_outdata = None
self.fast_outfiles = None
self.fast_headers = None
self.fast_units = None
# variables for local run
self.localrun_process= None
# build the map going from AMR-Wind var --> amrwind_frontend var
self.amrkeydict = OrderedDict()
for key, var in self.inputvars.items():
outputkey = 'AMR-Wind'
if outputkey in var.outputdef:
self.amrkeydict[var.outputdef[outputkey]] = key
# Load any turbines
self.turbinemodels_populate()
# Define alias functions for get_default_* dicts
self.get_default_samplingdict = \
self.listboxpopupwindict['listboxsampling'].getdefaultdict
self.get_default_averagingdict = \
self.listboxpopupwindict['listboxaveraging'].getdefaultdict
self.get_default_taggingdict = \
self.listboxpopupwindict['listboxtagging'].getdefaultdict
self.get_default_turbinetypedict = \
self.listboxpopupwindict['listboxturbinetype'].getdefaultdict
self.get_default_actuatordict = \
self.listboxpopupwindict['listboxactuator'].getdefaultdict
self.get_default_postprosetupdict = \
self.listboxpopupwindict['listboxpostprosetup'].getdefaultdict
# Shorthand aliases to add things
self.add_turbine = partial(self.add_populatefromdict,'listboxactuator')
self.add_sampling = partial(self.add_populatefromdict,'listboxsampling')
self.add_averaging = partial(self.add_populatefromdict,
'listboxaveraging')
self.add_tagging = partial(self.add_populatefromdict,'listboxtagging')
self.add_postprosetup = partial(self.add_populatefromdict,
'listboxpostprosetup')
# Shorthand aliases to edit things
self.edit_turbine = partial(self.edit_entryval, 'listboxactuator')
self.edit_sampling = partial(self.edit_entryval, 'listboxsampling')
self.edit_tagging = partial(self.edit_entryval, 'listboxtagging')
# Shorthand aliases to load CSV files
from farmfunctions import loadcsv2textbox
self.loadTurbineCSVFile = partial(loadcsv2textbox, self,
'turbines_csvtextbox')
self.loadRefineCSVFile = partial(loadcsv2textbox, self,
'refine_csvtextbox')
self.report_callback_exception = self.showerror
return
def showerror(self, *args):
err = traceback.format_exception(*args)
# Used to define alias for populatefromdict()
def add_populatefromdict(self, key, d, **kwargs):
deleteprevious = False
if 'deleteprevious' in kwargs:
deleteprevious = kwargs['deleteprevious']
del kwargs['deleteprevious']
self.listboxpopupwindict[key].populatefromdict({'x':d},
deleteprevious=deleteprevious,
**kwargs)
return
# Used to define alias for populatefromdict()
def edit_entryval(self, listboxkey, entry, key, val):
self.listboxpopupwindict[listboxkey].setentryval(entry, key, val,
outputtag='AMR-Wind')
return
@classmethod
def init_nogui(cls, *args, **kwargs):
localconfigdir=os.path.join(scriptpath,'local')
if 'localconfigdir' in kwargs:
localconfigdir=kwargs['localconfigdir']
del kwargs['localconfigdir']
cls.vdisplay = None
if hasxvfb:
try:
cls.vdisplay = Xvfb()
cls.vdisplay.start()
except:
pass
return cls(configyaml=os.path.join(scriptpath,'config.yaml'),
localconfigdir=localconfigdir, scriptpath=scriptpath,
withdraw=True, **kwargs)
def reloadconfig(self):
with open('config.yaml') as fp:
if tkyg.useruemel: Loader=tkyg.yaml.load
else: Loader=tkyg.yaml.safe_load
self.yamldict = Loader(fp)
#print('Reloaded config')
for listboxdict in self.yamldict['listboxpopupwindows']:
frame = self.tabframeselector(listboxdict)
name = listboxdict['name']
popupdict = self.yamldict['popupwindow'][listboxdict['popupinput']]
self.listboxpopupwindict[name] = tkyg.listboxpopupwindows(self, frame, listboxdict, popupdict)
return
@classmethod
def ifbool(cls, x):
if not isinstance(x, bool): return x
return 'true' if x else 'false'
def tellMeAbout(self, name):
"""
Query an AMR-Wind input or AMR-Wind frontend input
"""
inputkey = None
if name in self.amrkeydict:
inputkey = self.amrkeydict[name]
if name in self.inputvars:
inputkey = name
# Check if it can't find anything
if inputkey is None:
print("Unknown input "+name)
return
# Set inputs
inputvar = self.inputvars[inputkey]
infodict = OrderedDict()
infodict['Internal name'] = inputvar.name
infodict['AMR-Wind name'] = str(None) if 'AMR-Wind' not in inputvar.outputdef else inputvar.outputdef['AMR-Wind']
infodict['Help'] = str(None) if 'help' not in inputvar.outputdef else inputvar.outputdef['help']
infodict['Variable type'] = str(inputvar.inputtype)
infodict['GUI Label'] = inputvar.label
infodict['Default value'] = str(inputvar.defaultval)
infodict['Option list'] = str(inputvar.optionlist) if inputvar.optionlist else None
for k, g in infodict.items(): print('%-20s: %s'%(k,g))
return
def setAMRWindInput(self, name, val, updatectrlelem=True, **kwargs):
"""
Use this function to set the AMR-Wind keyword name to value.
"""
try:
if name in self.amrkeydict:
inputkey = self.amrkeydict[name]
if name in self.inputvars:
inputkey = name
self.inputvars[inputkey].setval(val, **kwargs)
if updatectrlelem and (self.inputvars[inputkey].ctrlelem is not None):
self.inputvars[inputkey].linkctrlelem(self.subframes,
self.inputvars)
self.inputvars[inputkey].onoffctrlelem(None)
except:
print("Cannot set "+name)
return
def getAMRWindInput(self, name, **kwargs):
"""
Use this function to get the value of an AMR-Wind keyword.
"""
returnval = None
try:
if name in self.amrkeydict:
inputkey = self.amrkeydict[name]
if name in self.inputvars:
inputkey = name
returnval = self.inputvars[inputkey].getval(**kwargs)
except:
print("Cannot get value of "+name)
return returnval
def getAMRWindInputType(self, name):
"""
Use this function to get the input type of an AMR-Wind keyword.
"""
returnval = None
try:
if name in self.amrkeydict:
inputkey = self.amrkeydict[name]
if name in self.inputvars:
inputkey = name
returnval = self.inputvars[inputkey].inputtype
except:
print("Cannot get inputtype of "+name)
return returnval
def getTaggingKey(self, keyname, listboxdict, datadict):
keyheader = 'tagging.'
intername = ''
#getinputtype = lambda l,n: [x['inputtype'] for x in l if x['name']==n]
if datadict.name.startswith('tagging_geom'):
#print(keyname+datadict.outputdef['AMR-Wind']+" needs fixing!")
keynamedict = self.listboxpopupwindict['listboxtagging'].dumpdict('AMR-Wind', subset=[keyname])
if keyname+".shapes" in keynamedict:
intername=keynamedict[keyname+".shapes"].strip()+"."
#print(listboxdict)
return keyheader+keyname+"."+intername+datadict.outputdef['AMR-Wind']
def writeAMRWindInput(self, filename, verbose=False,
postloadctrlelem=True,
outputextraparams=True, comments=True,amr_wind_version='latest'):
"""
Write out the input file for AMR-Wind
TODO: Do more sophisticated output control later
"""
if postloadctrlelem: self.postLoad_SetOnOffCtrlElem()
inputdict = self.getDictFromInputs('AMR-Wind')
# Get the sampling outputs
def dynamickeyfunc(n, p, d2):
prefix = p['sampling_outputto'].getval()[0]
return prefix+'.'+n+'.'+d2.outputdef['AMR-Wind']
def dynamickeyfuncavg(n, p, d2):
prefix = p['averaging_outputto'].getval()[0]
return prefix+'.'+n+'.'+d2.outputdef['AMR-Wind']
samplingkey = lambda n, d1, d2: d1['outputprefix']['AMR-Wind']+'.'+n+'.'+d2.outputdef['AMR-Wind']
if verbose: print('dumping listboxsampling')
sampledict = self.listboxpopupwindict['listboxsampling'].dumpdict('AMR-Wind', dynamicprefix_keyfunc=dynamickeyfunc)
if verbose: print('dumping listboxaveraging')
averagingict = self.listboxpopupwindict['listboxaveraging'].dumpdict('AMR-Wind', dynamicprefix_keyfunc=dynamickeyfuncavg)
if verbose: print('dumping listboxtagging')
taggingdict = self.listboxpopupwindict['listboxtagging'].dumpdict('AMR-Wind', keyfunc=self.getTaggingKey)
if verbose: print('dumping listboxactuator')
actuatordict= self.listboxpopupwindict['listboxactuator'].dumpdict('AMR-Wind', keyfunc=samplingkey)
if verbose: print('dumping listboxpostprosetup')
def postprocessingkey(n, d1, d2):
if ('outputprefix' in d2.outputdef):
return n+'.'+d2.outputdef['AMR-Wind']
else:
return d1['outputprefix']['AMR-Wind']+'.'+n+'.'+d2.outputdef['AMR-Wind']
postprocessingdict= self.listboxpopupwindict['listboxpostprosetup'].dumpdict('AMR-Wind', keyfunc=postprocessingkey)
"""
AMR_WIND version specific modification to dicts
"""
def remove_entries(data_dict, str_to_remove, how='in'):
if how=='in':
keys_to_remove = [key for key in data_dict if str_to_remove in key]
elif how=='endswith':
keys_to_remove = [key for key in data_dict if key.endswith(str_to_remove)]
# Remove the keys from the dictionary
for key in keys_to_remove:
del data_dict[key]
if amr_wind_version == 'latest':
remove_entries(sampledict,'.normal',how='endswith')
elif amr_wind_version == 'legacy':
remove_entries(sampledict,'.offset_vector',how='endswith')
# Construct the output dict
outputdict=inputdict.copy()
if len(taggingdict)>0:
commentdict = {'#comment_taggingdict':'\n#---- tagging defs ----'}
if comments: outputdict.update(commentdict)
outputdict.update(taggingdict)
if len(actuatordict)>0:
commentdict = {'#comment_actuatordict':'\n#---- actuator defs ----'}
if comments: outputdict.update(commentdict)
outputdict.update(actuatordict)
if len(postprocessingdict)>0:
commentdict = {'#comment_postprocessingdict':'\n#---- postprocessing defs ----'}
if comments: outputdict.update(commentdict)
outputdict.update(postprocessingdict)
if len(averagingict)>0:
commentdict = {'#comment_averagingdict':'\n#---- averaging defs ----'}
if comments: outputdict.update(commentdict)
outputdict.update(averagingict)
if len(sampledict)>0:
commentdict = {'#comment_sampledict':'\n#---- sample defs ----'}
if comments: outputdict.update(commentdict)
outputdict.update(sampledict)
# Add any extra parameters
if outputextraparams:
commentdict = {'#comment_extradict':'\n#---- extra params ----'}
if comments: outputdict.update(commentdict)
outputdict.update(self.extradictparams)
# Add the end comment
if comments:
outputdict.update({'#comment_end':'#== END AMR-WIND INPUT =='})
# Get the help dict
helpdict = self.getHelpFromInputs('AMR-Wind', 'help')
# Convert the dictionary to string output
returnstr = ''
if len(filename)>0: f=open(filename, "w")
for key, val in outputdict.items():
outputkey = key
# Write out a comment
if (key[0] == '#') and comments:
try:
writestr = bytes(val, "utf-8").decode("unicode_escape")
except:
writestr = val.decode('string_escape')
if verbose: print(writestr)
if len(filename)>0: f.write(writestr+"\n")
returnstr += writestr+"\n"
continue
elif (key[0] == '#'):
continue
# convert val to string
if val is None:
continue
elif isinstance(val, list):
outputstr=' '.join([str(self.ifbool(x)) for x in val])
else:
outputstr=str(self.ifbool(val))
if len(outputstr)>0 and (outputstr != 'None'):
writestr = "%-40s = %-20s"%(outputkey, outputstr)
# Add any help to this
if comments and (outputkey in helpdict):
writestr += "# "+helpdict[outputkey]
if verbose: print(writestr)
if len(filename)>0: f.write(writestr+"\n")
returnstr += writestr+"\n"
if len(filename)>0:
f.close()
self.savefile = filename
return returnstr
def writeAMRWindInputGUI(self):
filename = filedialog.asksaveasfilename(initialdir = "./",
title = "Save AMR-Wind file",
filetypes=[("input files","*.inp"),
("all files","*.*")])
if len(filename)>0:
self.writeAMRWindInput(filename)
self.savefile = filename
return
def saveAMRWindInputGUI(self):
if len(self.savefile)>0:
self.writeAMRWindInput(self.savefile)
print("Saved "+self.savefile)
else:
self.writeAMRWindInputGUI()
return
def dumpAMRWindInputGUI(self):
return tkyg.messagewindow(self, self.writeAMRWindInput(''),
height=40, title='Preview Input File')
def showyamlmesg(self, helpkey, category='helpwindows'):
"""
Displays a help message in yamldict[category][helpkey]
"""
mesg = self.yamldict[category][helpkey]['mesg']
opts = tkyg.getdictval(self.yamldict['helpwindows'][helpkey],
'options', {})
return tkyg.messagewindow(self, mesg, **opts)
def getInputHelp(self, search=''):
# Print the header
print("%-40s %-40s %-10s %s"%("INTERNAL NAME", "AMRWIND PARAMETER",
"DEFAULT VAL", "/ DESCRIPTION"))
# Print each widget
for widget in self.yamldict['inputwidgets']:
appname = widget['name']
amrname = ''
default = '' if 'defaultval' not in widget else repr(widget['defaultval'])
helpstr = '' if 'help' not in widget else repr(widget['help'])
if 'outputdef' in widget:
if 'AMR-Wind' in widget['outputdef']:
amrname = widget['outputdef']['AMR-Wind']
# Combine and search if necessary
allstrings = appname+' '+default+' '+helpstr+' '+amrname
hassearchterm = False
if ((len(search)==0) or (search.upper() in allstrings.upper())):
hassearchterm = True
#printentry = True if len(search)==0 else False
if hassearchterm:
print("%-40s %-40s %-10s %s"%(appname, amrname, default, helpstr))
return
@classmethod
def processline(cls, inputline):
line = inputline.partition('#')[0]
line = line.rstrip()
if len(line)>0:
line = line.split('=')
key = line[0].strip()
data = line[1].strip()
return key, data
return None, None
@classmethod
def AMRWindStringToDict(cls, string):
returndict = OrderedDict()
for line in string.split('\n'):
key, data = cls.processline(line)
if key is not None: returndict[key] = data
return returndict
@classmethod
def AMRWindInputToDict(cls, filename):
returndict = OrderedDict()
with open(filename) as f:
for line in f:
key, data = cls.processline(line)
if key is not None: returndict[key] = data
return returndict
def AMRWindExtractPostproDict(self, inputdict, template, samplingtemplate,
averagingtemplate, sep="."):
"""
From input dict, extract all of the sampling probe parameters
"""
postprodict = OrderedDict()
extradict = inputdict.copy()
# Get all incflo.postprocessing options
postprokey = 'incflo.post_processing'
# Check and make sure incflo.post_processing exists in the
# inputs, else skip
if postprokey not in inputdict:
return postprodict, extradict
postpronames = inputdict[postprokey].strip().split()
extradict.pop(postprokey)
# Run through all of the postprocessing objects
internalprefix = 'postprocessing_setup_'
allkeys = [key for key, item in inputdict.items()]
getinputtype = lambda l,n: [x['inputtype'] for x in l if x['name']==n]
matchlisttype = lambda x, l: x.split() if (isinstance(l, list) or l=='listbox') else x
for name in postpronames:
objectdict=OrderedDict()
objectdict[internalprefix+'name'] = name
# Process all keys for name
prefix = name+sep
probekeys = [k for k in allkeys if k.startswith(prefix) ]
for inputkey in probekeys:
inputkeytokens = inputkey.split(sep)
# Only take input parameters like sampling.type right now
if len(inputkeytokens)==2:
internalkey = internalprefix + inputkeytokens[-1]
inputtype=getinputtype(template['inputwidgets'],
internalkey)
if len(inputtype)>0:
inputtype = inputtype[0]
data = matchlisttype(inputdict[inputkey], inputtype)
objectdict[internalkey] = data
extradict.pop(inputkey)
postprodict[name] = objectdict.copy()
# load the postprodict if necessary
if len(postprodict)>0:
#print(postprodict)
self.listboxpopupwindict['listboxpostprosetup'].populatefromdict(postprodict, forcechange=True)
averagingobjects = []
# load all of the sampling inputs
if len(postprodict)>0:
samplingdict = OrderedDict()
dictkeypre= 'sampling_'
# Create the markers for probe/plane/line sampler
lmap = {}
lmap['probesampler'] = 'pf_'
lmap['linesampler'] = 'l_'
lmap['planesampler'] = 'p_'
lmap['lidarsampler'] = 'lidar_'
lmap['radarsampler'] = 'radar_'
for pname in postpronames:
# Double check and make sure it's a sampler input
listboxpopup = self.listboxpopupwindict['listboxpostprosetup']
pdict = listboxpopup.dumpdict('AMR-Wind',
subset=[pname],
keyfunc=lambda n, d1, d2: d2.name)
if pdict['postprocessing_setup_type'] != ['Sampling']:
averagingobjects.append(pname)
# Quit if it's not a Sampling type
continue
# Process the sampling
pre = pname
if pre+'.labels' not in inputdict:
# TODO: print warning here
continue
samplingnames = inputdict[pre+'.labels'].strip().split()
extradict.pop(pre+'.labels')
# Construct the sampling dict
for name in samplingnames:
probedict= OrderedDict()
# Process all keys for name
prefix = pre+sep+name+sep
probekeys = [k for k in allkeys if k.startswith(prefix) ]
# First process the type
probetype = tkyg.getdictval(inputdict, prefix+'type', None)
l = lmap[probetype.lower()]
if probetype is None:
print("ERROR: %s is not found!"%prefix+'type')
continue
probedict[dictkeypre+'name'] = name
probedict[dictkeypre+'outputto'] = pname
probedict[dictkeypre+'type'] = probetype
# Remove them from the list & dict
probekeys.remove(prefix+'type')
extradict.pop(prefix+'type')
# Go through the rest of the keys
for key in probekeys:
suffix = key[len(prefix):]
probedictkey = dictkeypre+l+suffix
# Check what kind of data it's supposed to provide
inputtype=getinputtype(samplingtemplate['inputwidgets'],
probedictkey)[0]
data = matchlisttype(inputdict[key], inputtype)
probedict[probedictkey] = data
extradict.pop(key)
samplingdict[name] = probedict.copy()
# Now populate it with the samplingdict
if len(samplingdict)>0:
#print(samplingdict)
self.listboxpopupwindict['listboxsampling'].populatefromdict(samplingdict, forcechange=True)
# load all of the averaging inputs
if len(averagingobjects)>0:
averagingdict = OrderedDict()
dictkeypre= 'averaging_'
for pname in averagingobjects:
# Double check and make sure it's an averaging input
listboxpopup = self.listboxpopupwindict['listboxpostprosetup']
pdict = listboxpopup.dumpdict('AMR-Wind',
subset=[pname],
keyfunc=lambda n, d1, d2: d2.name)
if pdict['postprocessing_setup_type'] != ['TimeAveraging']:
# Quit if it's not TimeAveraging type
continue
# Process the sampling
pre = pname
if pre+'.labels' not in inputdict:
# TODO: print warning here
continue
averagingnames = inputdict[pre+'.labels'].strip().split()
extradict.pop(pre+'.labels')
# Construct the averaging dict
for name in averagingnames:
objectdict= OrderedDict()
# Process all keys for name
prefix = pre+sep+name+sep
probekeys = [k for k in allkeys if k.startswith(prefix) ]
# First process the type
probetype = tkyg.getdictval(inputdict,
prefix+'averaging_type', None)
if probetype is None:
print("ERROR: %s is not found!"%prefix+'averaging_type')
continue
objectdict[dictkeypre+'name'] = name
objectdict[dictkeypre+'outputto'] = pname
objectdict[dictkeypre+'averaging_type'] = probetype
# Remove them from the list & dict
probekeys.remove(prefix+'averaging_type')
extradict.pop(prefix+'averaging_type')
# Go through the rest of the keys
for key in probekeys:
suffix = key[len(prefix):]
probedictkey = dictkeypre+suffix
# Check what kind of data it's supposed to provide
inputtype=getinputtype(averagingtemplate['inputwidgets'],
probedictkey)[0]
data = matchlisttype(inputdict[key], inputtype)
objectdict[probedictkey] = data
extradict.pop(key)
averagingdict[name] = objectdict.copy()
# Now populate it with the averagingdict
if len(averagingdict)>0:
self.listboxpopupwindict['listboxaveraging'].populatefromdict(averagingdict, forcechange=True)
return postprodict, extradict
# **** THIS IS DEPRECATED, REMOVE LATER *****
@classmethod
def AMRWindExtractSampleDict(cls, inputdict, template, sep=[".","."]):
"""
From input dict, extract all of the sampling probe parameters
"""
pre='sampling'
dictkeypre= 'sampling_'
samplingdict = OrderedDict()
if pre+'.labels' not in inputdict: return samplingdict, inputdict
extradict = inputdict.copy()
# Create the markers for probe/plane/line sampler
lmap = {}
lmap['probesampler'] = 'pf_'
lmap['linesampler'] = 'l_'
lmap['planesampler'] = 'p_'
# Get the sampling labels
allkeys = [key for key, item in inputdict.items()]
samplingkeys = [key for key in allkeys if key.lower().startswith(pre)]
samplingnames = inputdict[pre+'.labels'].strip().split()
extradict.pop(pre+'.labels')
getinputtype = lambda l,n: [x['inputtype'] for x in l if x['name']==n]
matchlisttype = lambda x, l: x.split() if isinstance(l, list) else x
#print(getinputtype(template['inputwidgets'], 'sampling_p_offsets')[0])
for name in samplingnames:
probedict=OrderedDict()
# Process all keys for name
prefix = pre+sep[0]+name+sep[1]
probekeys = [k for k in samplingkeys if k.startswith(prefix) ]
# First process the type
probetype = tkyg.getdictval(inputdict, prefix+'type', None)
l = lmap[probetype.lower()]
if probetype is None:
print("ERROR: %s is not found!"%prefix+'type')
continue
probedict[dictkeypre+'name'] = name
probedict[dictkeypre+'type'] = probetype
# Remove them from the list & dict
probekeys.remove(prefix+'type')
extradict.pop(prefix+'type')
# Go through the rest of the keys
for key in probekeys:
suffix = key[len(prefix):]
probedictkey = dictkeypre+l+suffix
# Check what kind of data it's supposed to provide
inputtype=getinputtype(template['inputwidgets'], probedictkey)[0]
data = matchlisttype(inputdict[key], inputtype)
probedict[probedictkey] = data
extradict.pop(key)
samplingdict[name] = probedict.copy()
#print(samplingdict)
return samplingdict, extradict
@classmethod
def AMRWindExtractTaggingDict(cls, inputdict, template, sep=['.','.','.']):
"""
From input dict, extract all of the tagging parameters
"""
pre='tagging'
dictkeypre= 'tagging_'
taggingdict = OrderedDict()
if pre+'.labels' not in inputdict: return taggingdict, inputdict
extradict = inputdict.copy()
# Get the tagging labels
allkeys = [key for key, item in inputdict.items()]
taggingkeys = [key for key in allkeys if key.lower().startswith(pre)]
taggingnames = inputdict[pre+'.labels'].strip().split()
extradict.pop(pre+'.labels')
# This lambda returns the inputtype corresponding to entry in
# dictionary l with name n
getinputtype = lambda l,n: [x['inputtype'] for x in l if x['name']==n]
matchlisttype = lambda x, l: x.split() if isinstance(l, list) else x
for name in taggingnames:
itemdict = OrderedDict()
# Process all keys for name
prefix = pre+sep[0]+name+sep[1]
tagkeys = [k for k in taggingkeys if k.startswith(prefix) ]
# First process the type
tagtype = tkyg.getdictval(inputdict, prefix+'type', None)
if tagtype is None:
print("ERROR: %s is not found!"%prefix+'type')
continue
itemdict[dictkeypre+'name'] = name
itemdict[dictkeypre+'type'] = tagtype
#print("Found tagging: %s"%name)
#print(" type: %s"%tagtype)
# Remove them from the list & dict
tagkeys.remove(prefix+'type')
extradict.pop(prefix+'type')
readtaggingkeys = True
taginsert = ''
if tagtype=='GeometryRefinement':
# Get the level
suffix = 'level'
tagdictkey= dictkeypre+suffix
key = prefix+suffix
if key in inputdict:
leveldata = int(inputdict[key])
itemdict[tagdictkey] = leveldata
extradict.pop(key)
# Get the shapes
suffix = 'shapes'
tagdictkey = dictkeypre+suffix
key = prefix+suffix
shapedata = inputdict[key]
#print("shapedata = %s"%shapedata)
extradict.pop(key)
itemdict[tagdictkey] = shapedata
if (len(shapedata.strip().split())>1):
print(" ERROR: More than one geometric refinement shape ")
print(" ERROR: Can't handle that at the moment")
readtaggingkeys = False
else:
prefix = pre+sep[0]+name+sep[1]+shapedata.strip()+sep[2]
tagkeys = [k for k in taggingkeys if k.startswith(prefix) ]
taginsert = 'geom_'
if not readtaggingkeys: continue
#print(taggingkeys)
#print(tagkeys)
# Go through the rest of the keys
for key in tagkeys:
suffix = key[len(prefix):]
tagdictkey = dictkeypre+taginsert+suffix
#print(tagdictkey)
# Check what kind of data it's supposed to provide
inputtype=getinputtype(template['inputwidgets'], tagdictkey)[0]
data = matchlisttype(inputdict[key], inputtype)
itemdict[tagdictkey] = data
extradict.pop(key)
taggingdict[name] = itemdict.copy()
return taggingdict, extradict
def AMRWindExtractActuatorDict(self, inputdict, template, sep=['.','.','.']):
"""
From input dict, extract all of the sampling probe parameters
"""
pre='Actuator'
dictkeypre= 'Actuator_'
actuatordict = OrderedDict()
if pre+'.labels' not in inputdict: return actuatordict, inputdict
extradict = inputdict.copy()
# Get the Actuator labels
allkeys = [key for key, item in inputdict.items()]
actuatorkeys = [key for key in allkeys if key.lower().startswith(pre.lower())]
actuatornames = inputdict[pre+'.labels'].strip().split()
extradict.pop(pre+'.labels')
#print(actuatorkeys)
getinputtype = lambda l,n: [x['inputtype'] for x in l if x['name']==n]
matchlisttype = lambda x, l: x.split() if isinstance(l, list) else x
#print(getinputtype(template['inputwidgets'], 'sampling_p_offsets')[0])
for name in actuatornames:
probedict=OrderedDict()
# Process all keys for name
prefix = pre+sep[0]+name+sep[1]
probekeys = [k for k in actuatorkeys if k.startswith(prefix) ]
# First process the type
probetype = tkyg.getdictval(inputdict, prefix+'type', None)
l = '' #lmap[probetype.lower()]
if probetype is None:
probetype = self.inputvars['Actuator_default_type'].getval()
probetype = str(probetype[0])
else:
probekeys.remove(prefix+'type')
extradict.pop(prefix+'type')
probedict[dictkeypre+'name'] = name
probedict[dictkeypre+'type'] = probetype
# Remove them from the list & dict
# Go through the rest of the keys
for key in probekeys:
suffix = key[len(prefix):]
probedictkey = dictkeypre+l+suffix
#print(probedictkey)
# Check what kind of data it's supposed to provide
inputtype=getinputtype(template['inputwidgets'], probedictkey)[0]
data = matchlisttype(inputdict[key], inputtype)
if inputtype=='bool': data = tkyg.to_bool(data)
probedict[probedictkey] = data
extradict.pop(key)
#print(probedict)
actuatordict[name] = probedict.copy()
#print(samplingdict)
return actuatordict, extradict
def setInternalVars(self):
"""
Set any internal variables necessary after loading AMR-Wind inputs
"""
# Set the time control variables
if self.inputvars['fixed_dt'].getval() > 0.0:
self.inputvars['time_control'].setval(['const dt'])
else:
self.inputvars['time_control'].setval(['max cfl'])
# Set the ABL boundary plane variables
if self.inputvars['ABL_bndry_io_mode'].getval() != "-1":
self.inputvars['ABL_useboundaryplane'].setval(True)
return
def postLoad_SetOnOffCtrlElem(self):
self.inputvars['zlo_temperature_type'].onoffctrlelem(None)
self.inputvars['zlo_type'].onoffctrlelem(None)
return
def loadAMRWindInput(self, filename, string=False, printunused=False):
if string:
amrdict=self.AMRWindStringToDict(filename)
else:
amrdict=self.AMRWindInputToDict(filename)
extradict=self.setinputfromdict('AMR-Wind', amrdict)
# Input the postpro objects
postprodict, extradict = \
self.AMRWindExtractPostproDict(extradict,
self.yamldict['popupwindow']['postpro_setup'],
self.yamldict['popupwindow']['sampling'],
self.yamldict['popupwindow']['averaging'],
)
# DEPRECATED
# # Input the sampling probes
# samplingdict, extradict = \
# self.AMRWindExtractSampleDict(extradict,
# self.yamldict['popupwindow']['sampling'])
# if len(samplingdict)>0:
# self.listboxpopupwindict['listboxsampling'].populatefromdict(samplingdict, forcechange=True)
# Input the tagging/refinement zones
taggingdict, extradict = \
self.AMRWindExtractTaggingDict(extradict,
self.yamldict['popupwindow']['tagging'])
if len(taggingdict)>0:
self.listboxpopupwindict['listboxtagging'].populatefromdict(taggingdict, forcechange=True)
# Input the turbine actuators
actuatordict, extradict = \
self.AMRWindExtractActuatorDict(extradict,
self.yamldict['popupwindow']['turbine'])
if len(actuatordict)>0:
self.listboxpopupwindict['listboxactuator'].populatefromdict(actuatordict, forcechange=True)
if printunused and len(extradict)>0:
print("# -- Unused variables: -- ")
for key, data in extradict.items():
print("%-40s= %s"%(key, data))
# Set the internal variables
self.setInternalVars()
# link any widgets necessary
for key, inputvar in self.inputvars.items():
if self.inputvars[key].ctrlelem is not None:
self.inputvars[key].onoffctrlelem(None)
self.postLoad_SetOnOffCtrlElem()
self.extradictparams = extradict
return extradict
def loadAMRWindInputGUI(self):
kwargs = {'filetypes':[("Input files","*.inp *.i"), ("all files","*.*")]}
filename = filedialog.askopenfilename(initialdir = "./",
title = "Select AMR-Wind file",
**kwargs)
if len(filename)>0:
self.loadAMRWindInput(filename, printunused=True)
self.savefile = filename
return
def donothing_button(self):
print("Does nothing")
return
def menubar(self, root):
"""
Adds a menu bar to root
See https://www.tutorialspoint.com/python/tk_menu.htm
"""
menubar = Tk.Menu(root)
# File menu
filemenu = Tk.Menu(menubar, tearoff=0)
filemenu.add_command(label="Save input file",
command=self.saveAMRWindInputGUI)
filemenu.add_command(label="Save input file As",
command=self.writeAMRWindInputGUI)
filemenu.add_command(label="Import AMR-Wind file",
command=self.loadAMRWindInputGUI)
filemenu.add_separator()
filemenu.add_command(label="Exit", command=root.quit)
menubar.add_cascade(label="File", menu=filemenu)
# Plot menu
plotmenu = Tk.Menu(menubar, tearoff=0)
plotmenu.add_command(label="Plot domain",
command=partial(self.launchpopupwin,
'plotdomain', savebutton=False))
plotmenu.add_command(label="FAST outputs",
command=partial(self.launchpopupwin,
'plotfastout', savebutton=False))
menubar.add_cascade(label="Plot", menu=plotmenu)
# run menu
runmenu = Tk.Menu(menubar, tearoff=0)
runmenu.add_command(label="Check Inputs",
command=self.validateGUI)
runmenu.add_command(label="Estimate mesh size",
command=self.estimateMeshSize)
runmenu.add_command(label="Preview Input File",
command=self.dumpAMRWindInputGUI)
runmenu.add_command(label="Local Run",
command=partial(self.launchpopupwin,
'localrun', savebutton=False))
runmenu.add_command(label="Job Submission",
command=partial(self.launchpopupwin,
'submitscript', savebutton=False))
menubar.add_cascade(label="Run", menu=runmenu)
# Help menu
help_text = """This is AMR-Wind!"""
helpmenu = Tk.Menu(menubar, tearoff=0)
helpmenu.add_command(label="Help Index",
command=partial(tkyg.donothing, root))
helpmenu.add_command(label="About...",