I am running the following JModelica script:
#!/usr/local/jmodelica/bin/jm_python.sh
import pyjmi
op = pyjmi.transfer_optimization_problem("BatchReactor", "model.mop")
opt_opts = op.optimize_options()
opt_opts['n_e'] = 40 # Number of elements
opt_opts['IPOPT_options']['tol'] = 1e-10
opt_opts['IPOPT_options']['print_level'] = 8
opt_opts['IPOPT_options']['output_file'] = '/z/out'
res = op.optimize(options=opt_opts)
I had hoped that the results (e.g. time, x1, x2, &c.) would be printed to the file /z/out. But the file only contains IPOPT verbose debugging/status info.
Is there a way to print the information that would be stored in res directly to a file? Either by somehow writing res itself or, preferably, having IPOPT/JModelica write the results without having to go through Python?
You may find that using result_file_name per another answer here results in an output file which is difficult to understand.
The following produces a nicer format:
import StringIO
import numpy as np
def PrintResToFile(filename,result):
def StripMX(x):
return str(x).replace('MX(','').replace(')','')
varstr = '#Variable Name={name: <10}, Unit={unit: <7}, Val={val: <10}, Col={col:< 5}, Comment="{comment}"\n'
with open(filename,'w') as fout:
#Print all variables at the top of the file, along with relevant information
#about them.
for var in result.model.getAllVariables():
if not result.is_variable(var.getName()):
val = result.initial(var.getName())
col = -1
else:
val = "Varies"
col = result.get_column(var.getName())
unit = StripMX(var.getUnit())
if not unit:
unit = "X"
fout.write(varstr.format(
name = var.getName(),
unit = unit,
val = val,
col = col,
comment = StripMX(var.getAttribute('comment'))
))
#Ensure that time variable is printed
fout.write(varstr.format(
name = 'time',
unit = 's',
val = 'Varies',
col = 0,
comment = 'None'
))
#The data matrix contains only time-varying variables. So fetch all of
#these, couple them in tuples with their column number, sort by column
#number, and then extract the name of the variable again. This results in a
#list of variable names which are guaranteed to be in the same order as the
#data matrix.
vkeys_in_order = map(lambda x: x[1], sorted([(result.get_column(x),x) for x in result.keys() if result.is_variable(x)]))
for vk in vkeys_in_order:
fout.write("{0:>13},".format(vk))
fout.write("\n")
sio = StringIO.StringIO()
np.savetxt(sio, result.data_matrix, delimiter=',', fmt='%13.5f')
fout.write(sio.getvalue())
which looks like this:
#Variable Name=S0 , Unit=kg , Val=2.0 , Col=-1 , Comment="Solid Mass"
#Variable Name=F0 , Unit=kg , Val=0.0 , Col=-1 , Comment="Fluid Mass"
#Variable Name=a , Unit=Hz , Val=0.2 , Col=-1 , Comment="None"
#Variable Name=b , Unit=kg/s , Val=1.0 , Col=-1 , Comment="None"
#Variable Name=f , Unit=kg/s , Val=0.05 , Col=-1 , Comment="None"
#Variable Name=h , Unit=1/g , Val=0.05 , Col=-1 , Comment="None"
#Variable Name=der(F) , Unit=X , Val=Varies , Col= 1 , Comment="None"
#Variable Name=F , Unit=kg , Val=Varies , Col= 3 , Comment="None"
#Variable Name=der(S) , Unit=X , Val=Varies , Col= 2 , Comment="None"
#Variable Name=S , Unit=kg , Val=Varies , Col= 4 , Comment="None"
#Variable Name=u , Unit=X , Val=Varies , Col= 5 , Comment="None"
#Variable Name=startTime , Unit=X , Val=0.0 , Col=-1 , Comment="None"
#Variable Name=finalTime , Unit=X , Val=100.0 , Col=-1 , Comment="None"
#Variable Name=time , Unit=s , Val=Varies , Col= 0 , Comment="None"
time, der(F), der(S), F, S, u,
0.00000, 0.97097, -0.97097, 0.00000, 2.00000, 0.97097
0.38763, 1.07704, -1.05814, 0.38519, 1.61698, 1.00000
1.61237, 0.88350, -0.80485, 1.70714, 0.35885, 0.65862
2.50000, 0.00000, 0.09688, 2.14545, 0.00000, 0.00000
2.88763, 0.09842, -0.00000, 2.18330, 0.00000, 0.06851
4.11237, 0.10342, 0.00000, 2.30688, 0.00000, 0.07077
5.00000, 0.10716, 0.00000, 2.40033, 0.00000, 0.07240
5.38763, 0.10882, -0.00000, 2.44219, 0.00000, 0.07311
6.61237, 0.11421, 0.00000, 2.57875, 0.00000, 0.07535