Files
insights/products/endpoints/frontend/nodes/EndpointsUsageOverviewNode.tsx
zeekay 1b367e2b62 chore: rebase the tree onto upstream master
The tree was a debranded snapshot of upstream taken around 2026-02-20, and
upstream has moved about five months since. This replaces it with upstream
master, mechanically re-derived: bin/debrand does the rename, and the
pipeline and squashed migrations are restored from the shipped tree.

Not a merge. The previous import replaced the tree wholesale in a single
commit, so there is no shared content history to merge against. Reproducing
the rename on the new tree is what actually converges.

What survives: .hanzo/workflows, the Dockerfiles and bin/docker* entrypoints,
compose files, LLM.md, and insights/migrations. The squashed initial
migration is load-bearing — the live database records it by name, so
upstream's ~918 individual migrations cannot come back.

Nine products are dropped as unreferenced. Twenty-one more that we do not run
are kept anyway because the core app still imports them; unpicking those is a
refactor and does not belong in a rebase.

This base does not build yet, and the reasons are not in the rename:
upstream now wants Python 3.13.13 against our 3.12.12 and Django 5.2 against
our 4.2, and the dependency manifests still name upstream packages that we
republish under our own names. Those are decisions, not renames.
2026-08-01 15:44:40 -07:00

196 lines
6.3 KiB
TypeScript

import { BuiltLogic, LogicWrapper, useValues } from 'kea'
import { useState } from 'react'
import { Skeleton } from '@hanzo/elements'
import { useAttachedLogic } from 'lib/logic/scenes/useAttachedLogic'
import { cn } from 'lib/utils/css-classes'
import { humanFriendlyDuration } from 'lib/utils/durations'
import { humanFriendlyNumber, humanizeBytes } from 'lib/utils/numbers'
import { dataNodeLogic } from '~/queries/nodes/DataNode/dataNodeLogic'
import {
AnyResponseType,
EndpointsUsageOverviewItem,
EndpointsUsageOverviewQuery,
EndpointsUsageOverviewQueryResponse,
} from '~/queries/schema/schema-general'
import { QueryContext } from '~/queries/types'
const HEIGHT_CLASS = 'h-24'
type MetricKey =
| 'total_requests'
| 'total_bytes_read'
| 'total_cpu_seconds'
| 'avg_query_duration_ms'
| 'p95_query_duration_ms'
| 'error_rate'
| 'materialized_requests'
| 'inline_requests'
const LABEL_FROM_KEY: Record<MetricKey, string> = {
total_requests: 'Total executions',
total_bytes_read: 'Total bytes read',
total_cpu_seconds: 'CPU seconds',
avg_query_duration_ms: 'Avg duration',
p95_query_duration_ms: 'P95 duration',
error_rate: 'Error rate',
materialized_requests: 'Materialized executions',
inline_requests: 'Direct executions',
}
const PRIMARY_METRICS: MetricKey[] = ['total_requests', 'total_bytes_read', 'total_cpu_seconds']
const SECONDARY_METRICS: MetricKey[] = [
'avg_query_duration_ms',
'p95_query_duration_ms',
'error_rate',
'materialized_requests',
'inline_requests',
]
type Item = {
key: MetricKey
label: string
loading: boolean
item?: EndpointsUsageOverviewItem
}
let uniqueNode = 0
export function EndpointsUsageOverviewNode(props: {
query: EndpointsUsageOverviewQuery
cachedResults?: AnyResponseType
context: QueryContext
attachTo?: LogicWrapper | BuiltLogic
}): JSX.Element | null {
const { onData, loadPriority, dataNodeCollectionId } = props.context.insightProps ?? {}
const [key] = useState(() => `EndpointsUsageOverview.${uniqueNode++}`)
const logic = dataNodeLogic({
query: props.query,
key,
cachedResults: props.cachedResults,
loadPriority,
onData,
dataNodeCollectionId: dataNodeCollectionId ?? key,
})
useAttachedLogic(logic, props.attachTo)
const { response, responseLoading } = useValues(logic)
const queryResponse = response as EndpointsUsageOverviewQueryResponse | undefined
const responseByKey = (queryResponse?.results?.reduce(
(acc, item) => {
acc[item.key as MetricKey] = item
return acc
},
{} as Record<MetricKey, EndpointsUsageOverviewItem>
) ?? {}) as Record<MetricKey, EndpointsUsageOverviewItem>
const primaryResults: Item[] = PRIMARY_METRICS.map((metricKey) => ({
key: metricKey,
label: LABEL_FROM_KEY[metricKey],
loading: responseLoading,
item: responseByKey[metricKey],
}))
const secondaryResults: Item[] = SECONDARY_METRICS.map((metricKey) => ({
key: metricKey,
label: LABEL_FROM_KEY[metricKey],
loading: responseLoading,
item: responseByKey[metricKey],
}))
return (
<div className="flex flex-col gap-4">
<div className="flex flex-row flex-wrap md:flex-nowrap w-full gap-2">
{primaryResults.map((item, index) => (
<div key={item?.key ?? index} className={cn(HEIGHT_CLASS, 'flex-1 min-w-[200px]')}>
<ItemCell item={item} isPrimary />
</div>
))}
</div>
<div className="flex flex-row flex-wrap md:flex-nowrap w-full gap-2">
{secondaryResults.map((item, index) => (
<div key={item?.key ?? index} className={cn(HEIGHT_CLASS, 'flex-1 min-w-[150px]')}>
<ItemCell item={item} isPrimary={false} />
</div>
))}
</div>
</div>
)
}
const ItemCell = ({ item, isPrimary }: { item: Item; isPrimary: boolean }): JSX.Element => {
const value: React.ReactNode = item.loading ? (
<Skeleton className="w-1/3 h-6" />
) : (
<div
className={cn(
'w-full flex-1 flex items-center justify-center',
isPrimary ? 'text-2xl font-bold' : 'text-xl'
)}
>
{item.item ? formatItem(item.item) : <span className="text-muted text-sm">No data</span>}
</div>
)
// TODO: See how Web Analytics does this
const changeIndicator =
!item.loading && item.item?.changeFromPreviousPct != null ? (
<div
className={cn(
'text-xs',
item.item.changeFromPreviousPct > 0
? 'text-success'
: item.item.changeFromPreviousPct < 0
? 'text-danger'
: 'text-muted'
)}
>
{item.item.changeFromPreviousPct > 0 ? '+' : ''}
{item.item.changeFromPreviousPct.toFixed(1)}%
</div>
) : null
return (
<div className="flex flex-col items-center text-center justify-around w-full h-full border p-2 bg-surface-primary rounded">
<div className="font-medium text-xs text-muted uppercase">{item.label}</div>
{value}
{changeIndicator}
</div>
)
}
const formatItem = (item: EndpointsUsageOverviewItem): string => {
const value = item.value
if (value === null || value === undefined) {
return '0'
}
switch (item.key) {
case 'total_requests':
case 'materialized_requests':
case 'inline_requests':
return humanFriendlyNumber(value)
case 'total_bytes_read':
return humanizeBytes(value)
case 'total_cpu_seconds':
return humanFriendlyDuration(value)
case 'avg_query_duration_ms':
case 'p95_query_duration_ms':
// Convert ms to seconds for humanFriendlyDuration
return humanFriendlyDuration(value / 1000)
case 'error_rate':
return `${(value * 100).toFixed(2)}%`
default:
return humanFriendlyNumber(value)
}
}