feat: meta-classifier servisi için stacking ensemble model fusion eklendi

app/services/meta_classifier.py

@@ -37,6 +37,11 @@ logger = get_logger(__name__)
 
 _MODELS_DIR = Path(__file__).resolve().parents[2] / "models"
 
+# model_version values — shared constants so callers can check "is this a
+# real trained-model result" without hardcoding the string themselves.
+MODEL_VERSION_TRAINED = "auris-v2-trained"
+MODEL_VERSION_FALLBACK = "auris-v1-heuristic"
+
 
 @dataclass
 class MetaResult:
@@ -220,7 +225,7 @@ class MetaClassifierService:
         return MetaResult(
             is_ai_generated=is_ai,
             confidence=confidence,
-            model_version="auris-v2-trained",
+            model_version=MODEL_VERSION_TRAINED,
             decision_source="auris_meta",
             analysis_mode="production",
             tower_scores=tower_scores,
@@ -288,7 +293,7 @@ class MetaClassifierService:
         return MetaResult(
             is_ai_generated=is_ai,
             confidence=confidence,
-            model_version="auris-v1-heuristic",
+            model_version=MODEL_VERSION_FALLBACK,
             decision_source="auris_fallback",
             analysis_mode="production",
             tower_scores=tower_scores,