fix: keep uniform for instance type render content
This commit is contained in:
@@ -112,7 +112,7 @@ function getInstanceDerived(item: InstanceTypeItemModel) {
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acceleratable,
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isGPU: acceleratable,
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manufacturer: acceleratable ? spec.manufacturer || '' : 'cpu', // GPU manufacturer or 'cpu' for non-acceleratable types
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displayName: spec.product || item.name,
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displayName: acceleratable ? spec.product || item.name : 'CPU Only',
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ramUnit: spec.unitResourcesParsed?.ram?.value,
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os: _.capitalize(spec.os) || '',
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arch: spec.arch,
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@@ -13,15 +13,9 @@ import type { ColumnsType } from 'antd/lib/table';
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import dayjs from 'dayjs';
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import _ from 'lodash';
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import { Fragment, useMemo } from 'react';
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import { parseJsonSafe } from '../../utils';
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import InstanceTypeCell from '../components/instance-type-cell';
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import {
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formatMemoryDisplay,
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InstanceStatusLabelMap,
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rowActionList,
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status
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} from '../config';
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import { InstanceTypeSpec, ListItem } from '../config/types';
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import { InstanceStatusLabelMap, rowActionList, status } from '../config';
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import { ListItem } from '../config/types';
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import { renderInstanceType } from '../utils/render-instance-type';
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const buildRowActions = (record: ListItem) => {
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return rowActionList
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@@ -37,71 +31,6 @@ const buildRowActions = (record: ListItem) => {
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}));
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};
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const toGB = (v?: string | number) =>
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v ? `${v}`.replace('Gi', ' GB').replace('Mi', ' MB') : '-';
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const buildResourcesData = (
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instanceType: {
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spec: InstanceTypeSpec;
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},
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options: {
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count: number;
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}
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) => {
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const unitResourcesParsed = instanceType?.spec?.unitResourcesParsed;
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const acceleratable = instanceType?.spec?.acceleratable;
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const { count = 0 } = options;
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if (acceleratable) {
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return {
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accelerator: _.toString(count),
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cpu: unitResourcesParsed?.cpu?.cores
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? count * unitResourcesParsed?.cpu?.cores
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: undefined,
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ram: unitResourcesParsed?.ram?.value
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? count * unitResourcesParsed?.ram?.value
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: undefined
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};
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}
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return {};
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};
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const formatResources = (
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instanceTypeSpec: { spec: InstanceTypeSpec },
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record: ListItem
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) => {
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const resources = buildResourcesData(instanceTypeSpec, {
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count: _.toNumber(record.spec?.resources?.accelerator) || 0
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});
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if (!record.spec?.resources?.accelerator) {
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return {
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cpu: record.spec?.resources?.cpu
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? `${record.spec?.resources?.cpu} vCPU`
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: '-',
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ram: record.spec?.resources?.ram
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? toGB(record.spec?.resources?.ram)
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: '-',
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localStorage: record.spec?.resources?.localStorage
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? toGB(record.spec?.resources?.localStorage)
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: '-'
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};
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}
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// VRAM = per-card GPU memory (a single card's size; not aggregated across
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// cards — the model's marquee spec).
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const vram = formatMemoryDisplay((instanceTypeSpec.spec as any)?.memory);
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return {
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cpu: resources.cpu ? `${resources.cpu} vCPU` : '-',
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ram: resources.ram ? `${resources.ram} GB` : '-',
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vram,
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localStorage: record.spec?.resources?.localStorage
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? toGB(record.spec?.resources?.localStorage)
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: undefined
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};
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};
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type ConnectEntry =
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| {
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type: 'ssh';
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@@ -175,81 +104,6 @@ const useInstancesColumns = ({
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const pluginCols = usePluginListColumns('gpuInstances');
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const creatorCols = useCreatorColumn<ListItem>('gpuInstances');
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const renderInstanceType = (record: ListItem) => {
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const description =
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parseJsonSafe<any>(record?.description || '{}', {}).spec || {};
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const resources = formatResources({ spec: description }, record);
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const accelerator = record.spec?.resources?.accelerator;
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const title = description.acceleratable
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? `${description.product} x ${accelerator}`
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: 'CPU';
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const volume = (record.spec as any)?.volume;
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// Spec popover grouped by category (GPU / CPU / Memory / Disk), mirroring
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// the Deployments instance info icon: dark tooltip, per-category icon,
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// instance name as the title. Rows with no value are dropped.
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type Section = {
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icon: string;
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name: string;
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rows: [string | null, string | undefined][];
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};
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const sections: Section[] = [];
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if (description.acceleratable) {
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sections.push({
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icon: 'icon-gpu',
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name: 'GPU',
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rows: [
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[
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intl.formatMessage({ id: 'gpuservice.table.count' }),
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accelerator ? `${accelerator}` : undefined
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],
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[
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intl.formatMessage({ id: 'gpuservice.instance.section.type' }),
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description.product
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],
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[
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intl.formatMessage({ id: 'gpuservice.instance.memory' }),
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resources.vram
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]
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]
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});
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}
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sections.push({
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icon: 'icon-cpu',
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name: 'CPU',
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rows: [[null, resources.cpu]]
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});
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sections.push({
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icon: 'icon-ram-02',
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name: intl.formatMessage({ id: 'gpuservice.instance.ram' }),
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rows: [[null, resources.ram]]
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});
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sections.push({
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icon: 'icon-hard-disk',
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name: intl.formatMessage({ id: 'gpuservice.instance.disk' }),
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rows: [
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[
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intl.formatMessage({ id: 'gpuservice.instance.disk.system' }),
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resources.localStorage
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],
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[
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intl.formatMessage({ id: 'gpuservice.instance.disk.ephemeral' }),
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toGB(volume?.ephemeral?.capacity)
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],
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[
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intl.formatMessage({ id: 'gpuservice.instance.disk.persistent' }),
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toGB(volume?.persistentTemplate?.spec?.capacity) ||
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toGB(pvCapacityByName?.[volume?.persistent?.name]) ||
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volume?.persistent?.name
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]
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]
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});
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return (
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<InstanceTypeCell title={title} name={record.name} sections={sections} />
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);
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};
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return useMemo(() => {
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const pluginRendered = pluginCols.map((c) => ({
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title: intl.formatMessage({ id: c.titleId }),
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@@ -389,7 +243,8 @@ const useInstancesColumns = ({
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showTitle: false
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},
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width: 300,
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render: (_text: string, record: ListItem) => renderInstanceType(record)
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render: (_text: string, record: ListItem) =>
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renderInstanceType(record, { intl, pvCapacityByName })
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},
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...pluginRendered,
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{
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@@ -0,0 +1,237 @@
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/**
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* Canonical "Instance Type" cell renderer.
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*
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* This is the single source of truth for the Instance Type column: the GPU
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* Instances list ([use-instances-columns]) and the Usage GPU Instances table
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* both render through it, so the primary label + the categorized spec popover
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* (GPU / CPU / Memory / Disk) stay byte-for-byte identical.
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*
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* It operates on the GPU-service ``ListItem`` shape. Callers whose data has a
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* different shape (e.g. the Usage breakdown rows) build a minimal ``ListItem``
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* with ``buildInstanceTypeRecordFromMiB`` and feed it here.
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*/
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import _ from 'lodash';
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import { parseJsonSafe } from '../../utils';
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import InstanceTypeCell from '../components/instance-type-cell';
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import { formatMemoryDisplay } from '../config';
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import { InstanceTypeSpec, ListItem } from '../config/types';
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// Minimal shape of the ``useIntl()`` result we depend on — keeps this module
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// free of an intl package import.
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type IntlLike = { formatMessage: (descriptor: { id: string }) => string };
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const toGB = (v?: string | number) =>
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v ? `${v}`.replace('Gi', ' GB').replace('Mi', ' MB') : '-';
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const buildResourcesData = (
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instanceType: {
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spec: InstanceTypeSpec;
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},
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options: {
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count: number;
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}
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) => {
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const unitResourcesParsed = instanceType?.spec?.unitResourcesParsed;
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const acceleratable = instanceType?.spec?.acceleratable;
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const { count = 0 } = options;
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if (acceleratable) {
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return {
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accelerator: _.toString(count),
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cpu: unitResourcesParsed?.cpu?.cores
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? count * unitResourcesParsed?.cpu?.cores
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: undefined,
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ram: unitResourcesParsed?.ram?.value
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? count * unitResourcesParsed?.ram?.value
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: undefined
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};
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}
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return {};
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};
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const formatResources = (
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instanceTypeSpec: { spec: InstanceTypeSpec },
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record: ListItem
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) => {
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const resources = buildResourcesData(instanceTypeSpec, {
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count: _.toNumber(record.spec?.resources?.accelerator) || 0
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});
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if (!record.spec?.resources?.accelerator) {
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return {
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cpu: record.spec?.resources?.cpu
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? `${record.spec?.resources?.cpu} vCPU`
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: '-',
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ram: record.spec?.resources?.ram
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? toGB(record.spec?.resources?.ram)
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: '-',
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localStorage: record.spec?.resources?.localStorage
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? toGB(record.spec?.resources?.localStorage)
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: '-'
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};
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}
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// VRAM = per-card GPU memory (a single card's size; not aggregated across
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// cards — the model's marquee spec).
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const vram = formatMemoryDisplay((instanceTypeSpec.spec as any)?.memory);
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return {
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cpu: resources.cpu ? `${resources.cpu} vCPU` : '-',
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ram: resources.ram ? `${resources.ram} GB` : '-',
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vram,
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localStorage: record.spec?.resources?.localStorage
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? toGB(record.spec?.resources?.localStorage)
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: undefined
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};
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};
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export const renderInstanceType = (
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record: ListItem,
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options: {
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intl: IntlLike;
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// name → capacity (e.g. "20Gi") for referenced persistent volumes, so the
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// Disk → Persistent row can show the size instead of just the PV name.
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pvCapacityByName?: Record<string, string>;
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}
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) => {
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const { intl, pvCapacityByName } = options;
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const description =
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parseJsonSafe<any>(record?.description || '{}', {}).spec || {};
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const resources = formatResources({ spec: description }, record);
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const accelerator = record.spec?.resources?.accelerator;
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const title = description.acceleratable
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? `${description.product} x ${accelerator}`
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: 'CPU Only';
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const volume = (record.spec as any)?.volume;
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// Spec popover grouped by category (GPU / CPU / Memory / Disk), mirroring
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// the Deployments instance info icon: dark tooltip, per-category icon,
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// instance name as the title. Rows with no value are dropped.
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type Section = {
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icon: string;
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name: string;
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rows: [string | null, string | undefined][];
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};
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const sections: Section[] = [];
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if (description.acceleratable) {
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sections.push({
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icon: 'icon-gpu',
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name: 'GPU',
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rows: [
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[
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intl.formatMessage({ id: 'gpuservice.table.count' }),
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accelerator ? `${accelerator}` : undefined
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],
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[
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intl.formatMessage({ id: 'gpuservice.instance.section.type' }),
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description.product
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],
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[
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intl.formatMessage({ id: 'gpuservice.instance.memory' }),
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resources.vram
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]
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]
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});
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}
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sections.push({
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icon: 'icon-cpu',
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name: 'CPU',
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rows: [[null, resources.cpu]]
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});
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sections.push({
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icon: 'icon-ram-02',
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name: intl.formatMessage({ id: 'gpuservice.instance.ram' }),
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rows: [[null, resources.ram]]
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});
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sections.push({
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icon: 'icon-hard-disk',
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name: intl.formatMessage({ id: 'gpuservice.instance.disk' }),
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rows: [
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[
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intl.formatMessage({ id: 'gpuservice.instance.disk.system' }),
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resources.localStorage
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],
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[
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intl.formatMessage({ id: 'gpuservice.instance.disk.ephemeral' }),
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toGB(volume?.ephemeral?.capacity)
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],
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[
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intl.formatMessage({ id: 'gpuservice.instance.disk.persistent' }),
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toGB(volume?.persistentTemplate?.spec?.capacity) ||
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toGB(pvCapacityByName?.[volume?.persistent?.name]) ||
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volume?.persistent?.name
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]
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]
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});
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return (
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<InstanceTypeCell title={title} name={record.name} sections={sections} />
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);
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};
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// MiB → k8s "Gi" quantity string, so values that arrive as raw mebibytes (the
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// Usage breakdown carries them this way) render through the same toGB path as
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// the GPU Instances list — i.e. as "X GB", not "X MB".
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const mibToGiQuantity = (mib?: number): string | undefined =>
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mib ? `${Math.round(mib / 1024)}Gi` : undefined;
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// Per-card / whole-instance metrics carried by the Usage breakdown rows.
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export interface InstanceTypeMiB {
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name?: string;
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product?: string;
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// accelerator (GPU card) count; 0/undefined → CPU-only ("CPU Only").
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gpuCount?: number;
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// Per-card values.
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unitCpuMilli?: number;
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unitMemoryMib?: number;
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vramMib?: number;
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// Disk (whole instance).
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localStorageMib?: number;
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ephemeralMib?: number;
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persistentMib?: number;
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}
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// Adapt the Usage breakdown's flat MiB fields into the ``ListItem`` shape the
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// canonical renderer consumes, so both tables render identically. CPU/RAM ride
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// on the parsed unit-resources (per card) for accelerated rows and on
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// ``spec.resources`` for CPU-only rows, matching how the list derives them.
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export const buildInstanceTypeRecordFromMiB = (
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data: InstanceTypeMiB
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): ListItem => {
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const acceleratable = (data.gpuCount ?? 0) > 0;
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return {
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name: data.name,
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description: JSON.stringify({
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spec: {
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acceleratable,
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product: data.product,
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memory: data.vramMib,
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unitResourcesParsed: {
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cpu: data.unitCpuMilli ? { cores: data.unitCpuMilli / 1000 } : null,
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ram: data.unitMemoryMib ? { value: data.unitMemoryMib / 1024 } : null
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}
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}
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}),
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spec: {
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resources: {
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accelerator: data.gpuCount ? `${data.gpuCount}` : null,
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// Only the CPU-only branch reads cpu/ram off spec.resources.
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cpu: acceleratable
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? null
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: data.unitCpuMilli
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? data.unitCpuMilli / 1000
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: null,
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ram: acceleratable ? null : mibToGiQuantity(data.unitMemoryMib),
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localStorage: mibToGiQuantity(data.localStorageMib) ?? null
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},
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volume: {
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ephemeral: { capacity: mibToGiQuantity(data.ephemeralMib) },
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persistentTemplate: data.persistentMib
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? {
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spec: { type: '', capacity: mibToGiQuantity(data.persistentMib)! }
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}
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: undefined
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}
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}
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} as ListItem;
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};
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