Concept validation must be requested

src/core/sheerka/Services/SheerkaExecute.py

@@ -90,27 +90,12 @@ class SheerkaExecute:
         result = core.utils.remove_list_from_list(result, user_inputs)
         return result
 
-    def call_evaluators(self, execution_context, return_values, process_step, evaluation_context=None):
+    def call_evaluators(self, execution_context, return_values, process_step):
 
         # return_values must be a list
         if not isinstance(return_values, list):
             return_values = [return_values]
 
-        # Evaluation context are contexts that may modify the behaviour of the execution
-        # For example, a concept to indicate that the value is not wanted
-        # Or a concept to indicate that we want the letter form of the response
-        # But first, they need to be transformed into return values
-        if evaluation_context is None:
-            evaluation_return_values = []
-        else:
-            evaluation_return_values = [self.sheerka.ret(execution_context.who, True, c) for c in evaluation_context]
-
-        # add the current step as part as the evaluation context
-        evaluation_return_values.append(self.sheerka.ret(execution_context.who, True, self.sheerka.new(process_step)))
-
-        # the pool of return values are the mix
-        return_values.extend(evaluation_return_values)
-
         # group the evaluators by priority and sort them
         # The first one to be applied will be the one with the highest priority
         grouped_evaluators = {}
@@ -203,8 +188,6 @@ class SheerkaExecute:
             # inc the iteration and continue
             iteration += 1
 
-        # remove all evaluation context that are not reduced
-        return_values = core.utils.remove_list_from_list(return_values, evaluation_return_values)
         return return_values
 
     def execute(self, execution_context, return_values, execution_steps):
@@ -223,7 +206,7 @@ class SheerkaExecute:
                 if step == BuiltinConcepts.PARSING:
                     return_values = self.call_parsers(sub_context, return_values)
                 else:
-                    return_values = self.call_evaluators(sub_context, return_values, step, None)
+                    return_values = self.call_evaluators(sub_context, return_values, step)
 
                 if copy != return_values:
                     sub_context.log_result(return_values)