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.
flattenItem receives the unmapped frontend dimension; the instance-type
grouping is 'gpu_type' (mapped to backend 'instance_type' via GROUP_BY_MAP),
so the previous 'instance_type' check never matched and the trend legend kept
showing the raw flavor slug. Check 'gpu_type'. (PR #1240 review)
The grouped-trend legend used the raw group key, which for instance_type is
the flavor slug (e.g. gpustack--generic-ln-x64-40c-160g--nvidia-a100-80g-4d).
Prefer the enriched product name so the chart legend matches the GPU Instances
list (#5700); falls back to the slug for legacy rows without dimension data.
Mirror the Tokens trend: add a clearable "Group by" select to the
MetricChartCard so the GPU Instances chart can split by instance type /
instance / user, and Storage by storage / user. When grouped, the chart
fetches group_by=["date", "<dim>"] (the same list style as the token usage
API) and pivots into one stacked series per group (shared buildTrendSeries
util), with a legend; ungrouped stays a single series. group_by is now a
list across the resource breakdown client; group-by options reuse the
bottom-table dimensions (Users only when org-wide).
- Event type: trim the dropdown to the four types that are actually emitted
(Created / Started / Stopped / Deleted) — updated/attached/detached were
never recorded — and actually send the selection (event_types) to the API,
which previously dropped it so the filter did nothing.
- Add a resource-name text filter (debounced, case-insensitive substring).
- Remove the "filter by user" select: the events list has no User column.
Scope still applies (members see only their own events).
Add the Usage page with Summary / Tokens / GPU Instances / Storage / Resource
Events tabs over the new metering endpoints: per-resource breakdowns with
date / scope / user / resource filters, trend charts, server-side sortable
tables (GPU-Hours, Instance-Hours, GB-Days, GB-Hours), Excel export with an
in-dialog preview, and KPI cards with help tooltips explaining each metric.
MaaS-only users (no Kubernetes cluster and no resource events) get a
tokens-only view with the tab bar dropped; GPU Service / the full page unlock
for admins, cluster owners, or anyone who has run a resource. Instance-type
rows reuse the GPU Instances list styling, and deleted users / instances /
volumes are flagged in breakdowns and filters.
The data layer the resource tabs build on:
- apis/resource.ts: adapter over the unified metered_usage read API
(resource/gpu-instances/storage/summary/events breakdowns), flattening
the server's generic shape into the per-tab item shape.
- hooks/use-resource-meta.ts: loads creators/instances/volumes filter
options for the current scope.
- utils/time-buckets.ts: day/week/month/hour bucket keys + range fill.
- utils/export-breakdown.ts: derive Excel columns from antd table specs.
Align with gpustack backend commits 7b57cd3b (add route dimension to
usage breakdown) and 51fd25c8 (use model_route_id as models_called):
* group_by, filters, and BreakdownItem now use the `route` dimension;
`models` filter cascader is replaced with a flat `routes` selector
(routes have no provider/cluster grouping).
* Tab / group_by option / column header keep the user-facing "模型 / Model"
wording — only the underlying data dimension changed.
* Drop cluster_name / provider_type columns from the breakdown table;
drop api_keys_used column per design.
* Fix pre-existing excel export bug in use-export-table — string
dataIndex was lodash-joined char-by-char ("input_tokens" →
"i_n_p_u_t..."), array dataIndex was used as a flat key against nested
rows. Rebuilt around buildSheetMeta that emits a stable field key plus
a formatMap using _.get(row, path) for nested values. Sheet name kept
as `models` to match the visible column label.
