Add SLA visibility toggle control with profile persistence and cache invalidation for drill-down plots with checkbox widget, config serialization, and parameter watching

panel_app/kpi_health_check_panel.py

@@ -201,6 +201,7 @@ def _drilldown_cache_key(site_code: int, rat: str, kpi: str) -> tuple:
         str(granularity_select.value or "Daily"),
         compare_kpis_key,
         norm_key,
+        bool(show_sla_toggle.value),
         ar_key,
         int(_coerce_int(baseline_days.value) or 0),
         int(_coerce_int(recent_days.value) or 0),
@@ -555,6 +556,7 @@ kpi_compare_select = pn.widgets.MultiChoice(name="Compare KPIs", options=[], val
 kpi_compare_norm = pn.widgets.Select(
     name="Normalization", options=["None", "Min-Max", "Z-score"], value="None"
 )
+show_sla_toggle = pn.widgets.Checkbox(name="Show SLA", value=True)
 
 corr_window_select = pn.widgets.Select(
     name="Correlation window",
@@ -1844,7 +1846,7 @@ def _update_site_view(event=None) -> None:
         kpis=kpis_to_plot,
         rules_df=relevant_rules,
         highlight_bad_days=True,
-        show_sla=True,
+        show_sla=bool(show_sla_toggle.value),
         site_code=code_int,
         rat=rat,
         main_kpi=str(kpi),
@@ -2745,6 +2747,7 @@ def _current_profile_config() -> dict:
             list(kpi_compare_select.value) if kpi_compare_select.value else []
         ),
         "compare_norm": str(kpi_compare_norm.value or "None"),
+        "show_sla": bool(show_sla_toggle.value),
     }
     return cfg
 
@@ -2862,6 +2865,11 @@ def _apply_profile_config(cfg: dict) -> None:
                 kpi_compare_norm.value = norm
         except Exception:  # noqa: BLE001
             pass
+        try:
+            if "show_sla" in drill and drill["show_sla"] is not None:
+                show_sla_toggle.value = bool(drill["show_sla"])
+        except Exception:  # noqa: BLE001
+            pass
         try:
             ck = drill.get("compare_kpis", [])
             if isinstance(ck, list):
@@ -3639,6 +3647,7 @@ site_select.param.watch(_on_drilldown_change, "value")
 kpi_select.param.watch(_on_drilldown_change, "value")
 kpi_compare_select.param.watch(_on_drilldown_change, "value")
 kpi_compare_norm.param.watch(_on_drilldown_change, "value")
+show_sla_toggle.param.watch(_on_drilldown_change, "value")
 corr_window_select.param.watch(_on_drilldown_change, "value")
 
 map_show_site_codes.param.watch(lambda e: _refresh_map_view(), "value")
@@ -4029,7 +4038,13 @@ _tab_drilldown = pn.Column(
     pn.pane.Markdown("## Drill-down"),
     pn.Row(site_select, rat_select),
     pn.Row(kpi_group_select, kpi_group_mode),
-    pn.Row(kpi_select, kpi_compare_select, kpi_compare_norm, drilldown_export_button),
+    pn.Row(
+        kpi_select,
+        kpi_compare_select,
+        kpi_compare_norm,
+        show_sla_toggle,
+        drilldown_export_button,
+    ),
     pn.Column(trend_plot_pane, sizing_mode="stretch_both", min_height=500),
     pn.Column(site_kpi_table, sizing_mode="stretch_width"),
     pn.Column(heatmap_plot_pane, sizing_mode="stretch_both", min_height=400),

process_kpi/kpi_health_check/normalization.py

@@ -242,7 +242,7 @@ def build_period_kpi(
 
     g = str(granularity or "Daily").strip().lower()
     if g.startswith("hour") or g.startswith("h"):
-        df["period_start"] = df["date"].dt.floor("H")
+        df["period_start"] = df["date"].dt.floor("h")
     else:
         df["period_start"] = df["date"].dt.floor("D")