Files
pangolin/server/routers/auditLogs/queryAiUsageResources.ts
T
2026-08-11 17:52:27 -04:00

223 lines
7.4 KiB
TypeScript

import { db, aiUsageRecords, resources, siteResources } from "@server/db";
import { registry } from "@server/openApi";
import { NextFunction } from "express";
import { Request, Response } from "express";
import { count, desc, inArray, sql } from "drizzle-orm";
import { OpenAPITags } from "@server/openApi";
import { z } from "zod";
import createHttpError from "http-errors";
import HttpCode from "@server/types/HttpCode";
import { fromError } from "zod-validation-error";
import response from "@server/lib/response";
import logger from "@server/logger";
import {
aiUsageAnalyticsFiltersQuery,
aiUsageAnalyticsParams,
buildAiUsageWhere,
resolveRoleUserIds,
dayBucketExpr,
pickTopNKeys,
bucketTopNPerDay,
DISTINCT_LIMIT,
type AiUsageAnalyticsQuery
} from "./aiUsageAnalyticsShared";
type Q = AiUsageAnalyticsQuery;
// Composite key namespacing resourceId ("r:") vs siteResourceId ("s:") since
// the two id spaces are independent and can overlap numerically.
function resourceKey(resourceId: number | null, siteResourceId: number | null) {
if (resourceId != null) return `r:${resourceId}`;
if (siteResourceId != null) return `s:${siteResourceId}`;
return "none";
}
async function query(data: Q) {
const roleUserIds = await resolveRoleUserIds(data.orgId, data.roleId);
const baseConditions = buildAiUsageWhere(data, roleUserIds);
const dayExpr = dayBucketExpr();
const resourceByDay = await db
.select({
day: dayExpr.as("day"),
resourceId: aiUsageRecords.resourceId,
siteResourceId: aiUsageRecords.siteResourceId,
cost: sql<number>`COALESCE(SUM(${aiUsageRecords.costUsd}), 0)`,
tokens: sql<number>`COALESCE(SUM(${aiUsageRecords.totalTokens}), 0)`
})
.from(aiUsageRecords)
.where(baseConditions)
.groupBy(dayExpr, aiUsageRecords.resourceId, aiUsageRecords.siteResourceId)
.orderBy(dayExpr);
const costTotals = new Map<string, number>();
const tokenTotals = new Map<string, number>();
for (const row of resourceByDay) {
const key = resourceKey(row.resourceId, row.siteResourceId);
costTotals.set(key, (costTotals.get(key) ?? 0) + row.cost);
tokenTotals.set(key, (tokenTotals.get(key) ?? 0) + row.tokens);
}
const topByCost = pickTopNKeys(costTotals);
const topByTokens = pickTopNKeys(tokenTotals);
const resourceCostPerDay = bucketTopNPerDay(
resourceByDay.map((r) => ({
day: r.day,
key: resourceKey(r.resourceId, r.siteResourceId),
value: r.cost
})),
topByCost
);
const resourceTokensPerDay = bucketTopNPerDay(
resourceByDay.map((r) => ({
day: r.day,
key: resourceKey(r.resourceId, r.siteResourceId),
value: r.tokens
})),
topByTokens
);
const topResourcesRaw = await db
.select({
resourceId: aiUsageRecords.resourceId,
siteResourceId: aiUsageRecords.siteResourceId,
requests: count(),
totalTokens: sql<number>`COALESCE(SUM(${aiUsageRecords.totalTokens}), 0)`,
costUsd: sql<number>`COALESCE(SUM(${aiUsageRecords.costUsd}), 0)`
})
.from(aiUsageRecords)
.where(baseConditions)
.groupBy(aiUsageRecords.resourceId, aiUsageRecords.siteResourceId)
.orderBy(desc(sql`COALESCE(SUM(${aiUsageRecords.costUsd}), 0)`))
.limit(DISTINCT_LIMIT + 1);
if (topResourcesRaw.length > DISTINCT_LIMIT) {
throw createHttpError(
HttpCode.BAD_REQUEST,
"Too many distinct resources. Please narrow your query."
);
}
const resourceIds = topResourcesRaw
.map((r) => r.resourceId)
.filter((id): id is number => id !== null);
const siteResourceIds = topResourcesRaw
.map((r) => r.siteResourceId)
.filter((id): id is number => id !== null);
const nameMap = new Map<string, string | null>();
if (resourceIds.length > 0) {
const resourceDetails = await db
.select({ resourceId: resources.resourceId, name: resources.name })
.from(resources)
.where(inArray(resources.resourceId, resourceIds));
for (const r of resourceDetails) {
nameMap.set(`r:${r.resourceId}`, r.name);
}
}
if (siteResourceIds.length > 0) {
const siteResourceDetails = await db
.select({
siteResourceId: siteResources.siteResourceId,
name: siteResources.name
})
.from(siteResources)
.where(inArray(siteResources.siteResourceId, siteResourceIds));
for (const r of siteResourceDetails) {
nameMap.set(`s:${r.siteResourceId}`, r.name);
}
}
const topResources = topResourcesRaw.map((r) => {
const key = resourceKey(r.resourceId, r.siteResourceId);
return {
key,
resourceId: r.resourceId,
siteResourceId: r.siteResourceId,
type:
r.resourceId != null
? ("public" as const)
: r.siteResourceId != null
? ("site" as const)
: null,
name: nameMap.get(key) ?? null,
requests: r.requests,
totalTokens: r.totalTokens,
costUsd: r.costUsd
};
});
return {
resourceCostPerDay,
resourceTokensPerDay,
topResources
};
}
registry.registerPath({
method: "get",
path: "/org/{orgId}/logs/ai/usage/resources",
description: "Query the AI usage analytics resource breakdown for an organization",
tags: [OpenAPITags.Logs],
request: {
query: aiUsageAnalyticsFiltersQuery,
params: aiUsageAnalyticsParams
},
responses: {
200: {
description: "Successful response",
content: {
"application/json": {
schema: z.object({
data: z.record(z.string(), z.any()).nullable(),
success: z.boolean(),
error: z.boolean(),
message: z.string(),
status: z.number()
})
}
}
}
}
});
export type QueryAiUsageResourcesResponse = Awaited<ReturnType<typeof query>>;
export async function queryAiUsageResources(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedQuery = aiUsageAnalyticsFiltersQuery.safeParse(req.query);
if (!parsedQuery.success) {
return next(
createHttpError(HttpCode.BAD_REQUEST, fromError(parsedQuery.error))
);
}
const parsedParams = aiUsageAnalyticsParams.safeParse(req.params);
if (!parsedParams.success) {
return next(
createHttpError(HttpCode.BAD_REQUEST, fromError(parsedParams.error))
);
}
const data = await query({ ...parsedQuery.data, ...parsedParams.data });
return response<QueryAiUsageResourcesResponse>(res, {
data,
success: true,
error: false,
message: "AI usage resource breakdown retrieved successfully",
status: HttpCode.OK
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}