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https://github.com/fosrl/pangolin.git
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show the sessions in the ui
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@@ -0,0 +1,107 @@
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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 { OpenAPITags } from "@server/openApi";
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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 { z } from "zod";
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import logger from "@server/logger";
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import {
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queryAiSessionLogsQuery,
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queryAiSessionLogsParams,
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queryAiSession,
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countAiSessionQuery
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} from "./queryAiSessionLog";
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import { generateCSV } from "./generateCSV";
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const MAX_EXPORT_LIMIT = 50_000;
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registry.registerPath({
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method: "get",
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path: "/org/{orgId}/logs/ai/export",
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description: "Export the AI gateway session log for an organization as CSV",
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tags: [OpenAPITags.Logs],
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request: {
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query: queryAiSessionLogsQuery.omit({
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limit: true,
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offset: true
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}),
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params: queryAiSessionLogsParams
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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 async function exportAiSessionLogs(
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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 = queryAiSessionLogsQuery.safeParse(req.query);
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if (!parsedQuery.success) {
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return next(
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createHttpError(
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HttpCode.BAD_REQUEST,
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fromError(parsedQuery.error)
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)
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);
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}
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const parsedParams = queryAiSessionLogsParams.safeParse(req.params);
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if (!parsedParams.success) {
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return next(
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createHttpError(
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HttpCode.BAD_REQUEST,
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fromError(parsedParams.error)
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)
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);
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}
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const data = { ...parsedQuery.data, ...parsedParams.data };
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const [{ count }] = await countAiSessionQuery(data);
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if (count > MAX_EXPORT_LIMIT) {
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return next(
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createHttpError(
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HttpCode.BAD_REQUEST,
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`Export limit exceeded. Your selection contains ${count} rows, but the maximum is ${MAX_EXPORT_LIMIT} rows. Please select a shorter time range to reduce the data.`
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)
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);
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}
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const baseQuery = queryAiSession(data);
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const log = await baseQuery.limit(MAX_EXPORT_LIMIT);
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const csvData = generateCSV(log);
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res.setHeader("Content-Type", "text/csv");
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res.setHeader(
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"Content-Disposition",
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`attachment; filename="ai-session-logs-${data.orgId}-${Date.now()}.csv"`
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);
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return res.send(csvData);
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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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