Update src/streamlit_app.py

src/streamlit_app.py

@@ -328,14 +328,29 @@ def load_data(csv_path=CSV_PATH, meta_path=META_PATH):
 
 df, meta_df = load_data()
 
-# -------------------------
-# Sidebar filters & UI
+
+# Sidebar filters & UI (safe against minimal metadata)
 # -------------------------
 st.sidebar.title("Feature Explorer - Advanced + SHAP")
-feat_types = sorted(meta_df["source_type"].unique().tolist())
-selected_types = st.sidebar.multiselect("Feature type", feat_types, default=feat_types)
+
+# Handle metadata safely — not all runs have detailed feature info
+if "source_type" in meta_df.columns:
+    feat_types = sorted(meta_df["source_type"].dropna().unique().tolist())
+    selected_types = st.sidebar.multiselect("Feature type", feat_types, default=feat_types)
+    filtered_meta = meta_df[meta_df["source_type"].isin(selected_types)]
+else:
+    st.sidebar.warning("Metadata file has no feature-level info. Showing all features.")
+    selected_types = []
+    filtered_meta = pd.DataFrame({
+        "feature_name": df.columns,
+        "source_type": "synthetic",
+        "formula": "",
+        "remarks": ""
+    })
+
 numeric_cols = df.select_dtypes(include=[np.number]).columns.tolist()
 
+
 # -------------------------
 # Main tabs
 # -------------------------