Dynamically calling and assigning a variable from a config python files

I have a list of parameters in a config file, if a specific model file is called in my script I want to dynamically assign the appropriate parameters to the variable name

config file looks like this:

tune_model_selection = ['logreg_module', 'random_forest_module']logreg_module_tune_parameter_grid = {"C": [0.01, 0.1, 1.0, 1.5, 2.0, 5.0, 10.0],"class_weight": ['balanced', None],"penalty": ['l2'],"solver": ['newton-cg', 'lbfgs', 'liblinear']}random_forest_module_tune_parameter_grid = {"n_estimators" : [100, 300, 500, 800, 1200],"max_depth" : [5, 8, 15, 25, 30],"min_samples_split" : [2, 5, 10, 15, 100],"min_samples_leaf" : [1, 2, 5, 10] }

snippet of python script

 class Tune:def __init__(self,             dataframe,             text_column,             target_column_name,             date_column,             config,             model_file #logreg_module or random_forest_module             ):    if model_file in config.tune_model_selection:        self.config = config        self.text_column = text_column        self.model_type = config.tune_model_type[model_file]        self.model_module = importlib.import_module('modules.'+ model_file)         #model file =  "logreg_module" or "random_forest_module"        param_grid = model_file +'_tune_parameter_grid'        self.parameter_grid = config.param_grid

For the variable self.parameter_grid, I want it to call config.random_forest_module_tune_parameter_grid dictionary or config.logreg_module_tune_parameter_grid

how it is scripted right now, it throws an error of no variable in config file named "param_grid"

I instead want it to read the name of param_grid from the previous variable and find the dictionary with associated parameters dynamically in the config file