Turbomachinery adjoint objectives and Total-Total Eff computation

[wkangholy]

Describe the bug
1.
A clear and concise description of what the bug is and what you expect the behavior to be instead. If applicable, add screenshots to help explain your problem.

When I tried to run the TestCases/disc_adj_turbomachinery/transonic_stator_2D, it showed the error.
Seem the error was reported in #889.
But in version 7.3.1, it still has similar issues.
May I ask how to use updateHistoryMap.py to add custom objectives? Thanks.

raceback (most recent call last):
File "/usr/local/bin/shape_optimization.py", line 183, in
main()
File "/usr/local/bin/shape_optimization.py", line 92, in main
shape_optimization( options.filename ,
File "/usr/local/bin/shape_optimization.py", line 155, in shape_optimization
project = SU2.opt.Project(config,state)
File "/usr/local/bin/SU2/opt/project.py", line 129, in init
group = historyOutFields[this_obj]['GROUP']
KeyError: 'ENTROPY_GENERATION'

2
When I run the case in TestCases/turbomachinery/axial_stage_2D, the value for Total-Total Eff is increased with the total iterative step.

When I set Number of total iterations = 3000, the EFF is increased than Number of total iterations =1000. But the pressure ratio remains unchanged.

To Reproduce
Please provide a config file and mesh for a minimal example that recreates the problem.

TestCases/turbomachinery/axial_stage_2D

Desktop (please complete the following information):

• OS: [e.g., Linux (Ubuntu 20.04)]
• C++ compiler and version: [e.g., g++ (GCC) 9.4.0]
• MPI implementation and version: [e.g., OpenMPI 4.0.3]
• SU2 Version: [e.g., v7.3.1]

[pcarruscag]

For 1) the issue is that entropy generation is an objective but not an output, and so it is not possible to map it, and so the python scripts do not know how to obtain the value of the function.
This is being worked in #1316, until then you may consider using FADO https://su2code.github.io/tutorials/Species_Transport/

For 2) I'm converting this to a discussion.

[wkangholy]

Thanks for the quick response. I will try the python script instead of shape_optimization.py.