From cf094bf750d62c3eac105296db73a8b8d46ec7f5 Mon Sep 17 00:00:00 2001
From: marco370 <48531002-marco370@users.noreply.replit.com>
Date: Tue, 25 Nov 2025 08:01:03 +0000
Subject: [PATCH] Update model version tracking for training history

Dynamically set the model version to "2.0.0" for hybrid detectors and "1.0.0" for legacy detectors, and update the database insertion logic in `main.py` to use this dynamic version.

Replit-Commit-Author: Agent
Replit-Commit-Session-Id: 7a657272-55ba-4a79-9a2e-f1ed9bc7a528
Replit-Commit-Checkpoint-Type: full_checkpoint
Replit-Commit-Event-Id: 25db5356-3182-4db3-be10-c524c0561b39
Replit-Commit-Screenshot-Url: https://storage.googleapis.com/screenshot-production-us-central1/449cf7c4-c97a-45ae-8234-e5c5b8d6a84f/7a657272-55ba-4a79-9a2e-f1ed9bc7a528/RJGlbTt
---
 python_ml/main.py | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/python_ml/main.py b/python_ml/main.py
index 21565a2..eede93d 100644
--- a/python_ml/main.py
+++ b/python_ml/main.py
@@ -62,6 +62,9 @@ app.add_middleware(
 # Global instances - Try hybrid first, fallback to legacy
 USE_HYBRID_DETECTOR = os.getenv("USE_HYBRID_DETECTOR", "true").lower() == "true"
 
+# Model version based on detector type
+MODEL_VERSION = "2.0.0" if USE_HYBRID_DETECTOR else "1.0.0"
+
 if USE_HYBRID_DETECTOR:
     print("[ML] Using Hybrid ML Detector (Extended Isolation Forest + Feature Selection)")
     ml_detector = MLHybridDetector(model_dir="models")
@@ -212,7 +215,7 @@ async def train_model(request: TrainRequest, background_tasks: BackgroundTasks):
                     (model_version, records_processed, features_count, training_duration, status, notes)
                     VALUES (%s, %s, %s, %s, %s, %s)
                 """, (
-                    "1.0.0",
+                    MODEL_VERSION,
                     len(df),
                     0,
                     0,
@@ -232,7 +235,7 @@ async def train_model(request: TrainRequest, background_tasks: BackgroundTasks):
                 (model_version, records_processed, features_count, training_duration, status, notes)
                 VALUES (%s, %s, %s, %s, %s, %s)
             """, (
-                "1.0.0",
+                MODEL_VERSION,
                 result['records_processed'],
                 result['features_count'],
                 0,  # duration non ancora implementato