Attach a Python script to allow for preprocessing before running the analysis

[KwentiN-ui]

The RustPython project could be used to embed a Python interpreter with this software, allowing for easy preprocessing of INP files by calling a python program before running the analysis.

Ideas:

• after selecting an analysis, the user can supply one or more Python files to be called in series
• before invoking the CalculiX executable, these would be run by the built-in interpreter
• the interpreter could be supplied with a string variable for the INP content, so the script would not need to deal with IO
• the files would be stored inside the user directory, just like the configuration files
• a run count could be supplied, so the analysis gets rerun automatically n times, allowing for easy parametrization

An example could look like this:

values = {
    0: "220000",
    1: "230000",
    2: "240000",
}

# this gets called by the application
def process(input_file:str, run:int) -> str:
    return input_file.replace("210000", values[run])