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# -*- coding: utf-8 -*-
"""
Created on Fri Nov 20 10:11:06 2015
@author: tlbl
"""
from __future__ import print_function
from __future__ import division
from __future__ import unicode_literals
from __future__ import absolute_import
# arctan and pi are required because they are in the formulas that are
# evaluated
from numpy import (floor, arctan, pi, log, log10, sin, cos, tan, e, arcsin,
arccos)
import pandas as pd
from openpyxl import load_workbook
from argparse import ArgumentParser
import os
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def multi_for(iterables):
"""
Routine to create list with combination of elements.
"""
if not iterables:
yield ()
else:
for item in iterables[0]:
for rest_tuple in multi_for(iterables[1:]):
yield (item,) + rest_tuple
class GeneralDLC(object):
"""
Basic class to generate the DLC spreadsheets. It contains routines to
handle the different types of tags.
* Constants: are fixed in the current DLC, e.g. reference turbulence\
intensity, rotor radius, reference wind speed, ....
* Variables: define the number of cases in a DLC through their combination\
e.g. wind speed, number of turbulence seeds, yaw angle, ....
* Functions: depend on other tags e.g turbulence intensity, file name, ....
"""
def __init__(self):
pass
def remove_from_dict(self, non_defaults, defaults):
for key in non_defaults.keys():
try:
del defaults[key]
except:
pass
return defaults
def add_variables_tag(self, dlc, variables, variables_order):
cases_len = []
for tag in variables_order:
dlc[tag] = []
v = variables[tag]
for i in range(len(v)-1):
try:
v.remove('')
except:
pass
if tag == '[seed]':
cases_len.append(int(v[0]))
elif tag == '[wave_seed]':
cases_len.append(int(v[0]))
else:
cases_len.append(len(v))
cases_index = multi_for(list(map(range, cases_len)))
# when no seeds are used, otherwise i_seed is not set
i_seed = -1
if '[wsp]' in variables_order:
i_wsp = variables_order.index('[wsp]')
len_wsp = len(variables['[wsp]'])
else:
raise ValueError('Missing VARIABLE (V) [wsp] tag!')
if '[seed]' in variables_order:
i_seed = variables_order.index('[seed]')
if '[wave_seed]' in variables_order:
i_wave_seed = variables_order.index('[wave_seed]')
if i_seed > i_wsp:
raise ValueError('column [seed] should come BEFORE [wsp] !!')
for irow, row in enumerate(cases_index):
for icol, col in enumerate(row):
if variables_order[icol] == '[seed]':
counter = floor(irow/len_wsp) + 1
value = '%4.4i' % (1000*counter + row[i_wsp] + 1)
elif variables_order[icol] == '[wave_seed]':
# FIXME: shouldn't we also have unique wave seeds??
# that is not the case with this implementation
value = '%4.4i' % (100*(row[i_wsp]+1) + row[i_wave_seed] + 1)
# value = '%4.4i' % (1000*counter + row[i_wsp] + 101)
# value = '%4.4i' % (irow+1)
# value = '%4.4i' % (10000*(row[i_wave_dir])] + 1) + \
# 1000*(row[i_Hs])] + 1) + \
# 10*(row[i_Tp])] + 1) +\
# row[i_seed])] + 1)
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else:
value = variables[variables_order[icol]][col]
if not isinstance(value, float) and not isinstance(value, int):
value = str(value)
dlc[variables_order[icol]].append(value)
def add_constants_tag(self, dlc, constants):
for key in constants.keys():
dlc[key] = [constants[key]]*len(dlc['[wsp]'])
def sort_formulas(self, formulas):
# sort formulas based on their dependency
keys_list = sorted(formulas)
for i in range(len(keys_list)):
for ikey, key in enumerate(keys_list):
formula = formulas[key]
for ikey2, key2 in enumerate(keys_list):
if key2 in formula:
if ikey < ikey2:
keys_list.pop(ikey)
keys_list.insert(ikey2, key)
break
return keys_list
def eval_formulas(self, dlc):
for key in dlc.keys():
if isinstance(dlc[key][0], str):
if "[" in dlc[key][0]:
for key2 in dlc.keys():
for iformula, formula in enumerate(dlc[key]):
if key2 in formula:
dlc[key][iformula] = dlc[key][iformula].replace(key2, '%s'%dlc[key2][iformula])
for iformula, formula in enumerate(dlc[key]):
formula = formula.replace(',', '.')
formula = formula.replace(';', ',')
dlc[key][iformula] = eval(formula)
def add_formulas(self, dlc, formulas):
keys_list = self.sort_formulas(formulas)
# specify the precision of the tag as used in the formulas
# this does NOT affect the precision of the tag itself, only when used
# in a formula based tag.
formats = {'[wsp]':'%02i', '[gridgustdelay]':'%02i',
'[wdir]':'%03i', '[G_phi0]':'%03i',
'[sign]':'%s',
'[Hs]':'%05.02f', '[Tp]':'%05.02f'}
for fkey in keys_list:
flist = []
for i in range(len(dlc['[wsp]'])):
formula = formulas[fkey]
for key in dlc.keys():
if key in formula:
if formula[0] == '"':
try:
fmt = formats[key]
except KeyError:
try:
value = float(dlc[key][i])
except ValueError:
# this is for string tags
value = dlc[key][i]
fmt = '%s'
formula = formula.replace(key, fmt % value)
elif key in formula:
formula = formula.replace(key, '%s' % dlc[key][i])
formula = formula.replace(',', '.')
formula = formula.replace(';', ',')
formula = formula.replace('\n', ' ')
try:
flist.append(eval(formula))
except Exception as exc:
print('following formula failed to execute:')
print(formula)
print('and raised the following exception:')
raise exc
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dlc[fkey] = flist
class GenerateDLCCases(GeneralDLC):
"""
Class to generate Excell sheets for each DLB case starting from a single
Excell sheet.
Parameters
----------
filename: str
Name of the excel spreadsheet containing the definition of all the
cases to generate.
folder: str
Name of the folder in which to save the DLB cases.
Example
-------
DLB = GenerateDLCCases()
DLB.execute()
"""
def execute(self, filename='DLCs.xlsx', folder='', isheets=None):
book = load_workbook(filename, data_only=True)
# Read all the initialization constants and functions of the main sheet
# The main sheet is assumed to be the first one (i=0)
general_constants = {}
general_functions = {}
sheet = book.worksheets[0]
# note that sheet.cell(i,j) is using 1-based indexing (row nr 1)
# first column is just for readability
for colnr in range(2, sheet.max_column+1):
if sheet.cell(10, colnr).value != None:
general_constants[str(sheet.cell(10, colnr).value)] = \
sheet.cell(11, colnr).value
if sheet.cell(14, colnr).value != None:
general_functions[str(sheet.cell(14, colnr).value)] = \
sheet.cell(15, colnr).value
if isheets is None:
# refer to sheet number, so 1-based indexing
isheets = list(range(1,len(book.sheetnames)))
# Loop through all the sheets. Each sheet correspond to a DLC.
for isheet in isheets:
sheet = book.worksheets[isheet]
print('Sheet #%i' % isheet, book.sheetnames[isheet])
# Read the actual sheet.
constants = {}
variables = {}
formulas = {}
variables_order = []
# Loop through the columns
for i in range(1,sheet.max_column+1):
if sheet.cell(1, i).value is not None:
tag = str(sheet.cell(1+1, i).value)
if len(tag) > 0:
# FIXME: only works if [wsp] is defined as variable
# and [seed] tags are present
if sheet.cell(1, i).value == 'C':
constants[tag] = sheet.cell(3, i).value
if sheet.cell(1, i).value == 'V':
variables_order.append(tag)
variables[tag] = \
[sheet.cell(j, i).value for j in range(3, sheet.max_row+1) if sheet.cell(j, i).value != None]
if sheet.cell(1, i).value == 'F':
formulas[tag] = str(sheet.cell(3, i).value)
# make copies of the general constants and functions since remove
# will otherwise remove them for the following sheets as well
sheet_gen_con = self.remove_from_dict(variables, general_constants.copy())
sheet_gen_con = self.remove_from_dict(constants, sheet_gen_con)
sheet_gen_fun = self.remove_from_dict(formulas, general_functions.copy())
self.add_variables_tag(dlc, variables, variables_order)
self.add_constants_tag(dlc, sheet_gen_con)
self.add_constants_tag(dlc, constants)
self.add_formulas(dlc, formulas)
self.add_formulas(dlc, sheet_gen_fun)
# TODO: before eval, check if all tags in formula's are present
self.eval_formulas(dlc)
df = pd.DataFrame(dlc)
os.makedirs(folder, exist_ok=True)
df.to_excel(os.path.join(folder, book.sheetnames[isheet]+'.xlsx'), index=False)
if __name__ == '__main__':
parser = ArgumentParser(description = "generator of DLB spreadsheets")
parser.add_argument('--master', type=str, default='DLCs.xlsx', action='store',
dest='filename', help='Master spreadsheet file')
parser.add_argument('--folder', type=str, default='', action='store',
dest='folder', help='Destination folder name')
opt = parser.parse_args()
DLB = GenerateDLCCases()
DLB.execute(filename=opt.filename, folder=opt.folder)