mirror of
https://github.com/fosrl/pangolin.git
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184 lines
5.8 KiB
TypeScript
184 lines
5.8 KiB
TypeScript
import { db, aiUsageRecords, aiProviders } from "@server/db";
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import { registry } from "@server/openApi";
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import { NextFunction } from "express";
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import { Request, Response } from "express";
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import { count, desc, inArray, sql } from "drizzle-orm";
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import { OpenAPITags } from "@server/openApi";
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import { z } from "zod";
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import createHttpError from "http-errors";
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import HttpCode from "@server/types/HttpCode";
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import { fromError } from "zod-validation-error";
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import response from "@server/lib/response";
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import logger from "@server/logger";
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import {
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aiUsageAnalyticsFiltersQuery,
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aiUsageAnalyticsParams,
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buildAiUsageWhere,
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resolveRoleUserIds,
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dayBucketExpr,
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pickTopNKeys,
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bucketTopNPerDay,
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DISTINCT_LIMIT,
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type AiUsageAnalyticsQuery
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} from "./aiUsageAnalyticsShared";
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type Q = AiUsageAnalyticsQuery;
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async function query(data: Q) {
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const roleUserIds = await resolveRoleUserIds(data.orgId, data.roleId);
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const baseConditions = buildAiUsageWhere(data, roleUserIds);
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const dayExpr = dayBucketExpr();
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const providerByDay = await db
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.select({
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day: dayExpr.as("day"),
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providerId: aiUsageRecords.providerId,
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cost: sql<number>`COALESCE(SUM(${aiUsageRecords.costUsd}), 0)`,
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tokens: sql<number>`COALESCE(SUM(${aiUsageRecords.totalTokens}), 0)`
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})
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.from(aiUsageRecords)
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.where(baseConditions)
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.groupBy(dayExpr, aiUsageRecords.providerId)
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.orderBy(dayExpr);
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const costTotals = new Map<string, number>();
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const tokenTotals = new Map<string, number>();
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for (const row of providerByDay) {
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const key = String(row.providerId);
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costTotals.set(key, (costTotals.get(key) ?? 0) + row.cost);
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tokenTotals.set(key, (tokenTotals.get(key) ?? 0) + row.tokens);
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}
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const topByCost = pickTopNKeys(costTotals);
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const topByTokens = pickTopNKeys(tokenTotals);
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const providerCostPerDay = bucketTopNPerDay(
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providerByDay.map((r) => ({
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day: r.day,
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key: String(r.providerId),
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value: r.cost
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})),
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topByCost
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);
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const providerTokensPerDay = bucketTopNPerDay(
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providerByDay.map((r) => ({
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day: r.day,
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key: String(r.providerId),
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value: r.tokens
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})),
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topByTokens
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);
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const topProvidersRaw = await db
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.select({
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providerId: aiUsageRecords.providerId,
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requests: count(),
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totalTokens: sql<number>`COALESCE(SUM(${aiUsageRecords.totalTokens}), 0)`,
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costUsd: sql<number>`COALESCE(SUM(${aiUsageRecords.costUsd}), 0)`
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})
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.from(aiUsageRecords)
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.where(baseConditions)
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.groupBy(aiUsageRecords.providerId)
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.orderBy(desc(sql`COALESCE(SUM(${aiUsageRecords.costUsd}), 0)`))
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.limit(DISTINCT_LIMIT + 1);
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if (topProvidersRaw.length > DISTINCT_LIMIT) {
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throw createHttpError(
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HttpCode.BAD_REQUEST,
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"Too many distinct providers. Please narrow your query."
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);
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}
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const providerIds = topProvidersRaw.map((r) => r.providerId);
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const nameMap = new Map<number, string | null>();
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if (providerIds.length > 0) {
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const providerDetails = await db
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.select({ providerId: aiProviders.providerId, name: aiProviders.name })
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.from(aiProviders)
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.where(inArray(aiProviders.providerId, providerIds));
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for (const p of providerDetails) {
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nameMap.set(p.providerId, p.name);
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}
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}
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const topProviders = topProvidersRaw.map((r) => ({
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providerId: r.providerId,
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name: nameMap.get(r.providerId) ?? null,
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requests: r.requests,
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totalTokens: r.totalTokens,
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costUsd: r.costUsd
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}));
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return {
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providerCostPerDay,
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providerTokensPerDay,
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topProviders
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};
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}
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registry.registerPath({
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method: "get",
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path: "/org/{orgId}/logs/ai/usage/providers",
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description: "Query the AI usage analytics provider breakdown for an organization",
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tags: [OpenAPITags.Logs],
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request: {
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query: aiUsageAnalyticsFiltersQuery,
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params: aiUsageAnalyticsParams
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},
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responses: {
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200: {
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description: "Successful response",
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content: {
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"application/json": {
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schema: z.object({
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data: z.record(z.string(), z.any()).nullable(),
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success: z.boolean(),
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error: z.boolean(),
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message: z.string(),
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status: z.number()
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})
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}
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}
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}
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}
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});
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export type QueryAiUsageProvidersResponse = Awaited<ReturnType<typeof query>>;
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export async function queryAiUsageProviders(
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req: Request,
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res: Response,
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next: NextFunction
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): Promise<any> {
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try {
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const parsedQuery = aiUsageAnalyticsFiltersQuery.safeParse(req.query);
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if (!parsedQuery.success) {
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return next(
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createHttpError(HttpCode.BAD_REQUEST, fromError(parsedQuery.error))
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);
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}
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const parsedParams = aiUsageAnalyticsParams.safeParse(req.params);
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if (!parsedParams.success) {
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return next(
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createHttpError(HttpCode.BAD_REQUEST, fromError(parsedParams.error))
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);
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}
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const data = await query({ ...parsedQuery.data, ...parsedParams.data });
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return response<QueryAiUsageProvidersResponse>(res, {
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data,
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success: true,
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error: false,
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message: "AI usage provider breakdown retrieved successfully",
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status: HttpCode.OK
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});
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} catch (error) {
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logger.error(error);
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return next(
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createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
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);
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}
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}
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