Files
Moltbot/src/shared/usage-aggregates.ts

110 lines
3.1 KiB
TypeScript

type LatencyTotalsLike = {
count: number;
sum: number;
min: number;
max: number;
p95Max: number;
};
type DailyLatencyLike = {
date: string;
count: number;
sum: number;
min: number;
max: number;
p95Max: number;
};
type DailyLike = {
date: string;
};
type LatencyLike = {
count: number;
avgMs: number;
minMs: number;
maxMs: number;
p95Ms: number;
};
type DailyLatencyInput = LatencyLike & { date: string };
export function mergeUsageLatency(
totals: LatencyTotalsLike,
latency: LatencyLike | undefined,
): void {
if (!latency || latency.count <= 0) {
return;
}
totals.count += latency.count;
totals.sum += latency.avgMs * latency.count;
totals.min = Math.min(totals.min, latency.minMs);
totals.max = Math.max(totals.max, latency.maxMs);
totals.p95Max = Math.max(totals.p95Max, latency.p95Ms);
}
export function mergeUsageDailyLatency(
dailyLatencyMap: Map<string, DailyLatencyLike>,
dailyLatency?: DailyLatencyInput[] | null,
): void {
for (const day of dailyLatency ?? []) {
const existing = dailyLatencyMap.get(day.date) ?? {
date: day.date,
count: 0,
sum: 0,
min: Number.POSITIVE_INFINITY,
max: 0,
p95Max: 0,
};
existing.count += day.count;
existing.sum += day.avgMs * day.count;
existing.min = Math.min(existing.min, day.minMs);
existing.max = Math.max(existing.max, day.maxMs);
existing.p95Max = Math.max(existing.p95Max, day.p95Ms);
dailyLatencyMap.set(day.date, existing);
}
}
export function buildUsageAggregateTail<
TTotals extends { totalCost: number },
TDaily extends DailyLike,
TModelDaily extends { date: string; cost: number },
>(params: {
byChannelMap: Map<string, TTotals>;
latencyTotals: LatencyTotalsLike;
dailyLatencyMap: Map<string, DailyLatencyLike>;
modelDailyMap: Map<string, TModelDaily>;
dailyMap: Map<string, TDaily>;
}) {
return {
byChannel: Array.from(params.byChannelMap.entries())
.map(([channel, totals]) => ({ channel, totals }))
.toSorted((a, b) => b.totals.totalCost - a.totals.totalCost),
latency:
params.latencyTotals.count > 0
? {
count: params.latencyTotals.count,
avgMs: params.latencyTotals.sum / params.latencyTotals.count,
minMs:
params.latencyTotals.min === Number.POSITIVE_INFINITY ? 0 : params.latencyTotals.min,
maxMs: params.latencyTotals.max,
p95Ms: params.latencyTotals.p95Max,
}
: undefined,
dailyLatency: Array.from(params.dailyLatencyMap.values())
.map((entry) => ({
date: entry.date,
count: entry.count,
avgMs: entry.count ? entry.sum / entry.count : 0,
minMs: entry.min === Number.POSITIVE_INFINITY ? 0 : entry.min,
maxMs: entry.max,
p95Ms: entry.p95Max,
}))
.toSorted((a, b) => a.date.localeCompare(b.date)),
modelDaily: Array.from(params.modelDailyMap.values()).toSorted(
(a, b) => a.date.localeCompare(b.date) || b.cost - a.cost,
),
daily: Array.from(params.dailyMap.values()).toSorted((a, b) => a.date.localeCompare(b.date)),
};
}