Improve enrichments grouping

This commit is contained in:
Nicolas Mowen 2025-11-20 06:57:58 -07:00
parent a29e41617e
commit 4bc7462012
3 changed files with 97 additions and 31 deletions

View File

@ -362,7 +362,7 @@ def stats_snapshot(
stats["embeddings"]["review_description_speed"] = round( stats["embeddings"]["review_description_speed"] = round(
embeddings_metrics.review_desc_speed.value * 1000, 2 embeddings_metrics.review_desc_speed.value * 1000, 2
) )
stats["embeddings"]["review_descriptions"] = round( stats["embeddings"]["review_description_events_per_second"] = round(
embeddings_metrics.review_desc_dps.value, 2 embeddings_metrics.review_desc_dps.value, 2
) )
@ -370,7 +370,7 @@ def stats_snapshot(
stats["embeddings"]["object_description_speed"] = round( stats["embeddings"]["object_description_speed"] = round(
embeddings_metrics.object_desc_speed.value * 1000, 2 embeddings_metrics.object_desc_speed.value * 1000, 2
) )
stats["embeddings"]["object_descriptions"] = round( stats["embeddings"]["object_description_events_per_second"] = round(
embeddings_metrics.object_desc_dps.value, 2 embeddings_metrics.object_desc_dps.value, 2
) )
@ -378,7 +378,7 @@ def stats_snapshot(
stats["embeddings"][f"{key}_classification_speed"] = round( stats["embeddings"][f"{key}_classification_speed"] = round(
embeddings_metrics.classification_speeds[key].value * 1000, 2 embeddings_metrics.classification_speeds[key].value * 1000, 2
) )
stats["embeddings"][f"{key}_classification"] = round( stats["embeddings"][f"{key}_classification_events_per_second"] = round(
embeddings_metrics.classification_cps[key].value, 2 embeddings_metrics.classification_cps[key].value, 2
) )

View File

@ -169,6 +169,7 @@
"enrichments": { "enrichments": {
"title": "Enrichments", "title": "Enrichments",
"infPerSecond": "Inferences Per Second", "infPerSecond": "Inferences Per Second",
"averageInf": "Average Inference Time",
"embeddings": { "embeddings": {
"image_embedding": "Image Embedding", "image_embedding": "Image Embedding",
"text_embedding": "Text Embedding", "text_embedding": "Text Embedding",
@ -180,7 +181,13 @@
"plate_recognition_speed": "Plate Recognition Speed", "plate_recognition_speed": "Plate Recognition Speed",
"text_embedding_speed": "Text Embedding Speed", "text_embedding_speed": "Text Embedding Speed",
"yolov9_plate_detection_speed": "YOLOv9 Plate Detection Speed", "yolov9_plate_detection_speed": "YOLOv9 Plate Detection Speed",
"yolov9_plate_detection": "YOLOv9 Plate Detection" "yolov9_plate_detection": "YOLOv9 Plate Detection",
"review_description": "Review Description",
"review_description_speed": "Review Description Speed",
"review_description_events_per_second": "Review Description",
"object_description": "Object Description",
"object_description_speed": "Object Description Speed",
"object_description_events_per_second": "Object Description"
} }
} }
} }

View File

@ -67,13 +67,14 @@ export default function EnrichmentMetrics({
// features stats // features stats
const embeddingInferenceTimeSeries = useMemo(() => { const groupedEnrichmentMetrics = useMemo(() => {
if (!statsHistory) { if (!statsHistory) {
return []; return [];
} }
const series: { const series: {
[key: string]: { [key: string]: {
rawKey: string;
name: string; name: string;
metrics: Threshold; metrics: Threshold;
data: { x: number; y: number }[]; data: { x: number; y: number }[];
@ -90,6 +91,7 @@ export default function EnrichmentMetrics({
if (!(key in series)) { if (!(key in series)) {
series[key] = { series[key] = {
rawKey,
name: t("enrichments.embeddings." + rawKey), name: t("enrichments.embeddings." + rawKey),
metrics: getThreshold(rawKey), metrics: getThreshold(rawKey),
data: [], data: [],
@ -99,7 +101,57 @@ export default function EnrichmentMetrics({
series[key].data.push({ x: statsIdx + 1, y: stat }); series[key].data.push({ x: statsIdx + 1, y: stat });
}); });
}); });
return Object.values(series);
// Group series by category (extract base name from raw key)
const grouped: {
[category: string]: {
categoryName: string;
speedSeries?: {
name: string;
metrics: Threshold;
data: { x: number; y: number }[];
};
eventsSeries?: {
name: string;
metrics: Threshold;
data: { x: number; y: number }[];
};
};
} = {};
Object.values(series).forEach((s) => {
// Extract base category name from raw key
// All metrics follow the pattern: {base}_speed and {base}_events_per_second
let categoryKey = s.rawKey;
let isSpeed = false;
if (s.rawKey.endsWith("_speed")) {
categoryKey = s.rawKey.replace("_speed", "");
isSpeed = true;
} else if (s.rawKey.endsWith("_events_per_second")) {
categoryKey = s.rawKey.replace("_events_per_second", "");
isSpeed = false;
}
// Get translated category name
const categoryName = t("enrichments.embeddings." + categoryKey);
if (!(categoryKey in grouped)) {
grouped[categoryKey] = {
categoryName,
speedSeries: undefined,
eventsSeries: undefined,
};
}
if (isSpeed) {
grouped[categoryKey].speedSeries = s;
} else {
grouped[categoryKey].eventsSeries = s;
}
});
return Object.values(grouped);
}, [statsHistory, t, getThreshold]); }, [statsHistory, t, getThreshold]);
return ( return (
@ -110,35 +162,42 @@ export default function EnrichmentMetrics({
</div> </div>
<div <div
className={cn( className={cn(
"mt-4 grid w-full grid-cols-1 gap-2 sm:grid-cols-3", "mt-4 grid w-full grid-cols-1 gap-2 sm:grid-cols-2 md:grid-cols-4",
embeddingInferenceTimeSeries && "sm:grid-cols-4",
)} )}
> >
{statsHistory.length != 0 ? ( {statsHistory.length != 0 ? (
<> <>
{embeddingInferenceTimeSeries.map((series) => ( {groupedEnrichmentMetrics.map((group) => (
<div className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl"> <div
<div className="mb-5 smart-capitalize">{series.name}</div> key={group.categoryName}
{series.name.endsWith("Speed") ? ( className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl"
<ThresholdBarGraph >
key={series.name} <div className="mb-5 smart-capitalize">
graphId={`${series.name}-inference`} {group.categoryName}
name={series.name} </div>
unit="ms" <div className="space-y-4">
threshold={series.metrics} {group.speedSeries && (
updateTimes={updateTimes} <ThresholdBarGraph
data={[series]} key={`${group.categoryName}-speed`}
/> graphId={`${group.categoryName}-inference`}
) : ( name={t("enrichments.averageInf")}
<EventsPerSecondsLineGraph unit="ms"
key={series.name} threshold={group.speedSeries.metrics}
graphId={`${series.name}-fps`} updateTimes={updateTimes}
unit="" data={[group.speedSeries]}
name={t("enrichments.infPerSecond")} />
updateTimes={updateTimes} )}
data={[series]} {group.eventsSeries && (
/> <EventsPerSecondsLineGraph
)} key={`${group.categoryName}-events`}
graphId={`${group.categoryName}-fps`}
unit=""
name={t("enrichments.infPerSecond")}
updateTimes={updateTimes}
data={[group.eventsSeries]}
/>
)}
</div>
</div> </div>
))} ))}
</> </>