Refactored sheerka execution flow + Enhanced log management

evaluators/ConceptEvaluator.py

@@ -2,9 +2,6 @@ from core.builtin_concepts import ParserResultConcept, BuiltinConcepts
 import core.builtin_helpers
 from core.concept import Concept, ConceptParts
 from evaluators.BaseEvaluator import OneReturnValueEvaluator
-import logging
-
-log = logging.getLogger(__name__)
 
 
 class ConceptEvaluator(OneReturnValueEvaluator):
@@ -15,7 +12,11 @@ class ConceptEvaluator(OneReturnValueEvaluator):
     Then checks the POST conditions
     """
     NAME = "Concept"
-    evaluation_steps = [BuiltinConcepts.EVALUATION, BuiltinConcepts.AFTER_EVALUATION]
+    evaluation_steps = [
+        BuiltinConcepts.BEFORE_EVALUATION,
+        BuiltinConcepts.EVALUATION,
+        BuiltinConcepts.AFTER_EVALUATION
+    ]
 
     def __init__(self):
         super().__init__(self.NAME, 50)
@@ -40,7 +41,7 @@ class ConceptEvaluator(OneReturnValueEvaluator):
 
         # Evaluate the properties
         for prop in concept.props:
-            sub_context = context.push(self.name, f"Evaluating property '{prop}'", concept)
+            sub_context = context.push(self.name, desc=f"Evaluating property '{prop}'", obj=concept)
             res = self.evaluate_parsing(sheerka, sub_context, concept.cached_asts[prop])
             if res.status:
                 concept.set_prop(prop, res.value)
@@ -60,11 +61,11 @@ class ConceptEvaluator(OneReturnValueEvaluator):
         if body is None:
             raise NotImplementedError("Seems weird !")
 
-        sub_context = context.push(self.name, "Evaluating body", concept)
+        sub_context = context.push(self.name, desc="Evaluating body", obj=concept)
         res = self.evaluate_parsing(sheerka, sub_context, body)
         return sheerka.ret(self.name, res.status, res.value, parents=[return_value])
 
     def evaluate_parsing(self, sheerka, context, parsing_result):
-        res = sheerka.chain_process(context, parsing_result, self.evaluation_steps)
+        res = sheerka.execute(context, parsing_result, self.evaluation_steps, self.log)
         res = core.builtin_helpers.expect_one(context, res)
         return res