Config is now an Abstract Method to keep this lib clean from prior project dependencies

utils/config.py

@@ -1,14 +1,11 @@
 import ast
+from abc import ABC
 
 from argparse import Namespace
 from collections import defaultdict
 from configparser import ConfigParser
 from pathlib import Path
 
-from ml_lib.models.generators.cnn import CNNRouteGeneratorModel
-from ml_lib.models.generators.cnn_discriminated import CNNRouteGeneratorDiscriminated
-
-from ml_lib.models.homotopy_classification.cnn_based import ConvHomDetector
 from ml_lib.utils.model_io import ModelParameters
 from ml_lib.utils.transforms import AsArray
 
@@ -22,22 +19,34 @@ def is_jsonable(x):
         return False
 
 
-class Config(ConfigParser):
+class Config(ConfigParser, ABC):
 
     # TODO: Do this programmatically; This did not work:
     # Initialize Default Sections
     # for section in self.default_sections:
     #     self.__setattr__(section, property(lambda x :x._get_namespace_for_section(section))
 
+    @property
+    def model_map(self):
+        """
+        This is function is supposed to return a dict, which holds a mapping from string model names to model classes
+
+        Example:
+        from models.binary_classifier import BinaryClassifier
+        return dict(BinaryClassifier=BinaryClassifier,
+                    )
+        :return:
+        """
+
+        raise NotImplementedError
+
     @property
     def model_class(self):
-        model_dict = dict(BinaryClassifier=BinaryClassifier,
-                          )
         try:
-            return model_dict[self.get('model', 'type')]
+            return self.model_map[self.get('model', 'type')]
         except KeyError as e:
             raise KeyError(rf'The model alias you provided ("{self.get("model", "type")}") does not exist! \n'
-                           f'Try one of these:\n{list(model_dict.keys())}')
+                           f'Try one of these:\n{list(self.model_map.keys())}')
 
     @property
     def main(self):