Oracle model update

Oracle/deepfundingoracle.py

@@ -237,6 +237,10 @@ def train_predict_weight(df):
     print("[INFO] Starting weight prediction...", flush=True)
     start_time = time.time()
     target = "base_weight"
+    if "activity" in df.columns:
+        df["activity"] = pd.to_datetime(df["activity"], errors="coerce")
+        now = pd.Timestamp.now()
+        df["activity"] = (now - df["activity"]).dt.days.fillna(-1)
     feature_cols = ["stars", "forks", "watchers", "open_issues", "pulls", "activity", "contributors"]
     if target not in df.columns:
         raise ValueError("Base weight column missing.")