First implementation of questions management

src/evaluators/PrepareEvalQuestionEvaluator.py

@@ -0,0 +1,45 @@
+from core.builtin_concepts import BuiltinConcepts
+from evaluators.BaseEvaluator import OneReturnValueEvaluator
+
+
+class PrepareEvalQuestionEvaluator(OneReturnValueEvaluator):
+    """
+    To recognize when the user input is a question
+    """
+
+    NAME = "PrepareEvalQuestion"
+
+    def __init__(self, **kwargs):
+        super().__init__(self.NAME, [BuiltinConcepts.BEFORE_PARSING], 90)
+        self.question = None
+
+    def matches(self, context, return_value):
+        if not (return_value.status and
+                context.sheerka.isinstance(return_value.body, BuiltinConcepts.USER_INPUT) and
+                isinstance(return_value.body.body, str)):
+            return False
+
+        text = return_value.body.body.strip()
+        if not (text.startswith("question(") and text.endswith(")")):
+            return False
+
+        self.question = text[9:-1].strip()
+        if self.question == "":
+            return False
+
+        return True
+
+    def eval(self, context, return_value):
+        sheerka = context.sheerka
+
+        new_text_to_parse = sheerka.ret(
+            self.name,
+            True, sheerka.new(BuiltinConcepts.USER_INPUT, body=self.question, user_name=context.event.user_id))
+
+        root = context.get_parents(lambda ec: ec.action == BuiltinConcepts.PROCESS_INPUT)
+        root = root[0] if root else context
+        root.protected_hints.add(BuiltinConcepts.EVAL_QUESTION_REQUESTED)
+        root.protected_hints.add(BuiltinConcepts.EVAL_BODY_REQUESTED)
+        root.protected_hints.add(BuiltinConcepts.RETURN_BODY_REQUESTED)
+
+        return new_text_to_parse