More bugfixes

backend/analytics/internal/handler/handler.go

@@ -298,9 +298,9 @@ func (h *Handler) ExportAWSalesHistory(w http.ResponseWriter, r *http.Request) {
 	}
 	cols := []export.Column{
 		{Key: "date", Label: "Date"},
-		{Key: "total_revenue", Label: "Total Revenue"},
-		{Key: "total_orders", Label: "Total Orders"},
-		{Key: "avg_order_value", Label: "Avg Order Value"},
+		{Key: "revenue", Label: "Revenue"},
+		{Key: "cost", Label: "Cost"},
+		{Key: "quantity", Label: "Quantity"},
 	}
 	b, err := export.ToXLSXBytes(r.Context(), "Sales History", cols, toMaps(data))
 	if err != nil {
@@ -342,10 +342,12 @@ func (h *Handler) ExportAWRepScores(w http.ResponseWriter, r *http.Request) {
 	}
 	cols := []export.Column{
 		{Key: "rep_name", Label: "Sales Rep"},
-		{Key: "total_revenue", Label: "Total Revenue"},
-		{Key: "total_orders", Label: "Total Orders"},
-		{Key: "avg_order_value", Label: "Avg Order Value"},
-		{Key: "performance_score", Label: "Performance Score"},
+		{Key: "territory", Label: "Territory"},
+		{Key: "revenue", Label: "Revenue"},
+		{Key: "orders", Label: "Orders"},
+		{Key: "avg_deal_size", Label: "Avg Deal Size"},
+		{Key: "margin_pct", Label: "Margin %"},
+		{Key: "score", Label: "Performance Score"},
 	}
 	b, err := export.ToXLSXBytes(r.Context(), "Rep Scores", cols, toMaps(data))
 	if err != nil {
@@ -366,8 +368,10 @@ func (h *Handler) ExportAWProductDemand(w http.ResponseWriter, r *http.Request)
 	cols := []export.Column{
 		{Key: "product_name", Label: "Product"},
 		{Key: "category", Label: "Category"},
-		{Key: "total_quantity", Label: "Total Quantity"},
-		{Key: "total_revenue", Label: "Total Revenue"},
+		{Key: "quantity", Label: "Quantity"},
+		{Key: "revenue", Label: "Revenue"},
+		{Key: "orders", Label: "Orders"},
+		{Key: "margin_pct", Label: "Margin %"},
 		{Key: "demand_score", Label: "Demand Score"},
 	}
 	b, err := export.ToXLSXBytes(r.Context(), "Product Demand", cols, toMaps(data))
@@ -411,10 +415,11 @@ func (h *Handler) ExportWWISupplierScores(w http.ResponseWriter, r *http.Request
 	}
 	cols := []export.Column{
 		{Key: "supplier_name", Label: "Supplier"},
+		{Key: "category", Label: "Category"},
 		{Key: "total_orders", Label: "Total Orders"},
-		{Key: "on_time_delivery_rate", Label: "On-Time Delivery Rate"},
-		{Key: "avg_lead_time_days", Label: "Avg Lead Time (Days)"},
-		{Key: "performance_score", Label: "Performance Score"},
+		{Key: "fill_rate_pct", Label: "Fill Rate %"},
+		{Key: "finalization_rate_pct", Label: "Finalization Rate %"},
+		{Key: "score", Label: "Performance Score"},
 	}
 	b, err := export.ToXLSXBytes(r.Context(), "Supplier Scores", cols, toMaps(data))
 	if err != nil {

frontend/src/api/gateway.ts

@@ -68,14 +68,14 @@ export const getWWIJobs = (limit = 50) =>
   get<JobExecution[]>(`/api/jobs/wwi?limit=${limit}`, "frontend.jobs.wwi");
 
 export const triggerAWJob = (jobName: string) =>
-  post<{ triggered: boolean; job_name: string }>(
-    `/api/jobs/aw/${jobName}/trigger`,
+  post<{ status: string; job: string }>(
+    `/api/aw/jobs/${jobName}/trigger`,
     "frontend.jobs.aw.trigger",
   );
 
 export const triggerWWIJob = (jobName: string) =>
-  post<{ triggered: boolean; job_name: string }>(
-    `/api/jobs/wwi/${jobName}/trigger`,
+  post<{ status: string; job: string }>(
+    `/api/wwi/jobs/${jobName}/trigger`,
     "frontend.jobs.wwi.trigger",
   );
 

frontend/src/api/types.ts

@@ -126,11 +126,12 @@ export type WWIScenario = {
 export type AWAnomalyPoint = {
   date: string;
   revenue: number;
-  rolling_mean: number;
-  lower_band: number;
-  upper_band: number;
+  // null during the rolling-window warm-up period
+  rolling_mean: number | null;
+  lower_band: number | null;
+  upper_band: number | null;
   is_anomaly: boolean;
-  z_score: number;
+  z_score: number | null;
   direction: "high" | "low" | null;
 };
 

frontend/src/pages/aw/AnomalyDetection.tsx

@@ -72,8 +72,16 @@ export default function AnomalyDetection() {
     anomalyRevenue: p.is_anomaly ? p.revenue : null,
   }));
 
-  const domainMin = Math.min(...series.map((p) => p.lower_band)) * 0.95;
-  const domainMax = Math.max(...series.map((p) => p.upper_band)) * 1.05;
+  // Bands are null during the rolling-window warm-up; ignore those and fall
+  // back to revenue so anomaly points are never clipped off the chart.
+  const lows = series
+    .map((p) => (p.lower_band ?? p.revenue))
+    .filter((v): v is number => v != null);
+  const highs = series
+    .map((p) => (p.upper_band ?? p.revenue))
+    .filter((v): v is number => v != null);
+  const domainMin = lows.length ? Math.min(...lows) * 0.95 : 0;
+  const domainMax = highs.length ? Math.max(...highs) * 1.05 : 0;
 
   return (
     <div className="flex flex-col gap-6 max-w-[1100px] mx-auto">
@@ -228,16 +236,16 @@ export default function AnomalyDetection() {
                     <td className="font-mono text-sm">{p.date}</td>
                     <td>{money.format(p.revenue)}</td>
                     <td className="text-[rgba(233,244,255,0.5)]">
-                      {money.format(p.rolling_mean)}
+                      {p.rolling_mean != null ? money.format(p.rolling_mean) : "—"}
                     </td>
                     <td
                       className={
-                        Math.abs(p.z_score) > 3
+                        (p.z_score != null && Math.abs(p.z_score) > 3)
                           ? "text-red-400 font-semibold"
                           : "text-amber-400"
                       }
                     >
-                      {p.z_score.toFixed(2)}
+                      {p.z_score != null ? p.z_score.toFixed(2) : "—"}
                     </td>
                     <td>{directionBadge(p.direction)}</td>
                   </tr>

frontend/src/pages/ops/OperationsPage.tsx

@@ -13,7 +13,6 @@ const AW_JOBS = [
 const WWI_JOBS = [
   { id: "reorder", label: "Reorder Recommendations" },
   { id: "supplier_scores", label: "Supplier Scores" },
-  { id: "events", label: "Business Events" },
   { id: "data_quality", label: "Data Quality" },
 ];