Add pyarrow/duckdb/openpyxl dependencies to KPI analysis requirements, fix KPI compare selector to expose all RATs KPIs regardless of group filter matching V1 behavior, and restrict top-N group additions to valid KPI candidates from compare options to avoid meta columns

hf_spaces/kpi_analysis/requirements.txt

@@ -4,3 +4,7 @@ pandas>=2.0
 numpy>=1.23
 plotly>=5.0
 xlsxwriter>=3.0
+
+pyarrow>=14.0
+duckdb>=0.9
+openpyxl>=3.1

panel_app/kpi_health_check_panel_v2.py

@@ -2108,11 +2108,11 @@ def _update_kpi_options() -> None:
     if kpi_select.value not in filtered_kpis:
         kpi_select.value = filtered_kpis[0] if filtered_kpis else None
 
-    kpi_compare_select.options = filtered_kpis
+    # Match V1 behavior: compare list always exposes all KPIs for the RAT,
+    # while the main KPI dropdown can be filtered by group.
+    kpi_compare_select.options = kpis
     if kpi_compare_select.value:
-        kpi_compare_select.value = [
-            k for k in kpi_compare_select.value if k in filtered_kpis
-        ]
+        kpi_compare_select.value = [k for k in kpi_compare_select.value if k in kpis]
         return
     return
 
@@ -2208,8 +2208,12 @@ def _update_site_view(event=None) -> None:
         selected = [str(kpi)] + selected
 
     if "Add top" in str(kpi_group_mode.value):
+        # Ensure we only add real KPI candidates (avoid meta columns)
         from_group = filter_kpis(
-            d.columns.tolist(), kpi_group_select.value, mode="Top-N", top_n=12
+            list(kpi_compare_select.options or []),
+            kpi_group_select.value,
+            mode="Top-N",
+            top_n=12,
         )[:12]
         for gk in from_group:
             if gk not in selected: