feat(usage): render instance types by actual shape (CPU spec / GPU x cards)

Instance Types are grouped by actual shape now, so each row/series is one
concrete type. Label them accordingly via a shared instanceTypeSeriesLabel,
used by both the table column and the trend legend so they read identically:
GPU shows "<product> x <cards>", CPU shows "CPU Only · N vCPU · M GB" (the
instance's real size, not the bare "CPU Only" + hover tooltip). The Instances
tab also uses the per-instance cpu/mem totals, so a 3c6g instance of a 1c2g
flavor reads 3c6g instead of 1c2g. flatten carries cpu_milli/memory_mib/
gpu_count from the breakdown dimensions.

src/pages/usage/apis/resource.ts

@@ -11,6 +11,7 @@
  * whole-machine SKU model meters runtime, not decomposed components.
  */
 import { request } from '@umijs/max';
+import { instanceTypeSeriesLabel } from '../utils/format-instance-type';
 
 export interface ResourceUsageFilters {
   creator_ids?: number[];
@@ -73,6 +74,10 @@ export interface ResourceBreakdownItem extends ResourceBreakdownSummary {
   unit_cpu_milli?: number;
   unit_memory_mib?: number;
   vram_mib?: number;
+  // Instance totals (requested cpu/ram) — the real size, so CPU instance types
+  // show "CPU Only · 2 vCPU · 4 GB" instead of just the per-unit spec.
+  cpu_milli?: number;
+  memory_mib?: number;
   // Per-instance rows also carry the card count + ephemeral disk so the
   // Instances table can render "<product> x <count>" + the spec popover.
   gpu_count?: number;
@@ -202,6 +207,8 @@ interface ServerBreakdownItem {
     unit_cpu_milli?: number | null;
     unit_memory_mib?: number | null;
     vram_mib?: number | null;
+    cpu_milli?: number | null;
+    memory_mib?: number | null;
     gpu_count?: number | null;
     ephemeral_mib?: number | null;
     local_storage_mib?: number | null;
@@ -313,6 +320,8 @@ function flattenItem(
     if (dims.unit_memory_mib != null)
       flat.unit_memory_mib = dims.unit_memory_mib;
     if (dims.vram_mib != null) flat.vram_mib = dims.vram_mib;
+    if (dims.cpu_milli != null) flat.cpu_milli = dims.cpu_milli;
+    if (dims.memory_mib != null) flat.memory_mib = dims.memory_mib;
     if (dims.gpu_count != null) flat.gpu_count = dims.gpu_count;
     if (dims.ephemeral_mib != null) flat.ephemeral_mib = dims.ephemeral_mib;
     if (dims.local_storage_mib != null)
@@ -321,14 +330,14 @@ function flattenItem(
     if (dims.storage_type) flat.storage_type = dims.storage_type;
     if (dims.capacity_mib != null) flat.capacity_mib = dims.capacity_mib;
   }
-  // For an instance-type grouped trend the series label (``group``) defaults to
+  // Instance-type grouped trend: the series label (``group``) defaults to the
-  // the raw flavor slug; prefer the pretty product name so the chart legend
+  // raw flavor slug. Instance Types are grouped by actual shape, so label each
-  // matches the GPU Instances list (#5700). ``groupBy`` here is the unmapped
+  // series by that shape — "<product> x <cards>" / "CPU Only · 3 vCPU · 6 GB" —
-  // frontend dimension — ``gpu_type`` maps to the backend's ``instance_type``
+  // matching the table and keeping every shape a distinct series (#5700).
-  // (see GROUP_BY_MAP). Falls back to the slug for legacy rows that predate
+  // ``groupBy`` is the unmapped frontend dimension; the instance-type axis is
-  // dimension enrichment.
+  // ``gpu_type`` (→ backend ``instance_type`` via GROUP_BY_MAP).
-  if (groupBy === 'gpu_type' && flat.product) {
+  if (groupBy === 'gpu_type') {
-    flat.group = flat.product;
+    flat.group = instanceTypeSeriesLabel(flat);
   }
   return flat;
 }

src/pages/usage/instances-tab/tables/use-instances-columns.tsx

@@ -5,7 +5,10 @@ import {
 import { useIntl } from '@umijs/max';
 import { useMemo } from 'react';
 import { ResourceBreakdownItem } from '../../apis/resource';
-import { instanceTypeLabel } from '../../utils/format-instance-type';
+import {
+  cpuOnlyLabel,
+  instanceTypeSeriesLabel
+} from '../../utils/format-instance-type';
 import { parseRollup } from '../../utils/time-buckets';
 
 type GroupKey = 'gpu_type' | 'instance' | 'user';
@@ -44,25 +47,29 @@ const useInstancesColumns = (groupKey: GroupKey) => {
       title: intl.formatMessage({ id: 'usage.table.instanceType' }),
       dataIndex: 'gpu_type',
       key: 'gpu_type',
-      render: (_v: string, row: ResourceBreakdownItem) =>
+      render: (_v: string, row: ResourceBreakdownItem) => {
-        renderInstanceType(
+        const isCpu = !row.gpu_count && !row.vram_mib;
+        return renderInstanceType(
           buildInstanceTypeRecordFromMiB({
             name: row.instance_name,
             product: row.product || row.gpu_type,
             gpuCount: row.gpu_count,
-            unitCpuMilli: row.unit_cpu_milli,
+            // CPU instance types show their real total size (cpu/mem totals);
-            unitMemoryMib: row.unit_memory_mib,
+            // GPU keeps per-card specs since the renderer multiplies by the
+            // card count.
+            unitCpuMilli: isCpu ? row.cpu_milli : row.unit_cpu_milli,
+            unitMemoryMib: isCpu ? row.memory_mib : row.unit_memory_mib,
             vramMib: row.vram_mib
           }),
           {
             intl,
             categories: ['cpu', 'ram'],
-            title:
+            // Each row is one shape: GPU "<product> x <cards>", CPU
-              !!row.gpu_count || !!row.vram_mib
+            // "CPU Only · <spec>".
-                ? instanceTypeLabel(row)
+            title: instanceTypeSeriesLabel(row)
-                : 'CPU Only'
           }
-        )
+        );
+      }
     };
     // Instances breakdown: render through the canonical GPU Instances list
     // renderer so the label + spec popover are identical. The breakdown row
@@ -71,21 +78,26 @@ const useInstancesColumns = (groupKey: GroupKey) => {
       title: intl.formatMessage({ id: 'usage.table.instanceType' }),
       dataIndex: 'gpu_type',
       key: 'gpu_type',
-      render: (_v: string, row: ResourceBreakdownItem) =>
+      render: (_v: string, row: ResourceBreakdownItem) => {
-        renderInstanceType(
+        const isCpu = !row.gpu_count && !row.vram_mib;
+        return renderInstanceType(
           buildInstanceTypeRecordFromMiB({
             name: row.instance_name,
             product: row.product || row.gpu_type,
             gpuCount: row.gpu_count,
-            unitCpuMilli: row.unit_cpu_milli,
+            // A per-instance row is one concrete instance, so CPU shows its
-            unitMemoryMib: row.unit_memory_mib,
+            // real requested size (cpu/mem totals), not the per-unit flavor
+            // spec — e.g. a 3c6g instance of a 1c2g flavor reads "3 vCPU · 6 GB".
+            unitCpuMilli: isCpu ? row.cpu_milli : row.unit_cpu_milli,
+            unitMemoryMib: isCpu ? row.memory_mib : row.unit_memory_mib,
             vramMib: row.vram_mib,
             localStorageMib: row.local_storage_mib,
             ephemeralMib: row.ephemeral_mib,
             persistentMib: row.persistent_mib
           }),
-          { intl }
+          { intl, title: isCpu ? cpuOnlyLabel(row) : undefined }
-        )
+        );
+      }
     };
     // Last Active = the last active day. The backend sends a rollup-tz instant
     // with its offset; parseRollup keeps that wall clock (no browser-tz convert),

src/pages/usage/utils/format-instance-type.ts

@@ -16,3 +16,39 @@ import { ResourceBreakdownItem } from '../apis/resource';
 export const instanceTypeLabel = (
   row?: Partial<ResourceBreakdownItem>
 ): string => row?.product || row?.gpu_type || '-';
+
+const _trim = (n: number): string =>
+  Number.isInteger(n) ? `${n}` : n.toFixed(1);
+
+// Compact CPU/RAM spec, e.g. "2 vCPU · 4 GB", from the instance totals
+// (millicores / MiB). Empty string when neither is known.
+export const formatCpuSpec = (
+  cpuMilli?: number | null,
+  memMib?: number | null
+): string => {
+  const parts: string[] = [];
+  if (cpuMilli) parts.push(`${_trim(cpuMilli / 1000)} vCPU`);
+  if (memMib) parts.push(`${_trim(memMib / 1024)} GB`);
+  return parts.join(' · ');
+};
+
+// CPU instance-type label: "CPU Only" plus its real size when known, e.g.
+// "CPU Only · 2 vCPU · 4 GB". Used by both the table column and the trend
+// legend so they read identically.
+export const cpuOnlyLabel = (row?: Partial<ResourceBreakdownItem>): string => {
+  const spec = formatCpuSpec(row?.cpu_milli, row?.memory_mib);
+  return spec ? `CPU Only · ${spec}` : 'CPU Only';
+};
+
+// Instance Types are grouped by actual shape, so each row is one concrete
+// type: a GPU shows "<product> x <cards>", a CPU shows "CPU Only · <spec>".
+// One label for the table column and the trend legend so they read the same
+// and each shape is a distinct series. (" x " matches the GPU Instances list.)
+export const instanceTypeSeriesLabel = (
+  row?: Partial<ResourceBreakdownItem>
+): string => {
+  const isCpu = !row?.gpu_count && !row?.vram_mib;
+  if (isCpu) return cpuOnlyLabel(row);
+  const product = row?.product || row?.gpu_type || '-';
+  return row?.gpu_count ? `${product} x ${row.gpu_count}` : product;
+};