import { Request, Response, NextFunction } from "express"; import { z } from "zod"; import { db, resources, resourceAiModels, aiModels } from "@server/db"; import { eq } from "drizzle-orm"; import response from "@server/lib/response"; import HttpCode from "@server/types/HttpCode"; import createHttpError from "http-errors"; import logger from "@server/logger"; import { fromError } from "zod-validation-error"; import { OpenAPITags, registry } from "@server/openApi"; const listResourceAiModelsParamsSchema = z.strictObject({ resourceId: z.coerce.number().int().positive() }); async function query(resourceId: number) { return await db .select({ modelId: aiModels.modelId, modelKey: aiModels.modelKey, name: aiModels.name, enabled: aiModels.enabled }) .from(resourceAiModels) .innerJoin(aiModels, eq(resourceAiModels.modelId, aiModels.modelId)) .where(eq(resourceAiModels.resourceId, resourceId)); } export type ListResourceAiModelsResponse = { models: NonNullable>>; }; registry.registerPath({ method: "get", path: "/resource/{resourceId}/ai-models", description: "List the AI models a resource is restricted to. An empty list means the resource is not restricted and every enabled model on its linked AI provider is allowed.", tags: [OpenAPITags.PublicResource], request: { params: listResourceAiModelsParamsSchema }, 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 async function listResourceAiModels( req: Request, res: Response, next: NextFunction ): Promise { try { const parsedParams = listResourceAiModelsParamsSchema.safeParse( req.params ); if (!parsedParams.success) { return next( createHttpError( HttpCode.BAD_REQUEST, fromError(parsedParams.error).toString() ) ); } const { resourceId } = parsedParams.data; const [resource] = await db .select() .from(resources) .where(eq(resources.resourceId, resourceId)) .limit(1); if (!resource) { return next( createHttpError(HttpCode.NOT_FOUND, "Resource not found") ); } const models = await query(resourceId); return response(res, { data: { models }, success: true, error: false, message: "Resource AI models retrieved successfully", status: HttpCode.OK }); } catch (error) { logger.error(error); return next( createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred") ); } }