mirror of
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162 lines
4.6 KiB
TypeScript
162 lines
4.6 KiB
TypeScript
import { Request, Response, NextFunction } from "express";
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import { z } from "zod";
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import { db, resources, resourceAiModels, aiModels } from "@server/db";
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import { eq, and } from "drizzle-orm";
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import response from "@server/lib/response";
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import HttpCode from "@server/types/HttpCode";
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import createHttpError from "http-errors";
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import logger from "@server/logger";
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import { fromError } from "zod-validation-error";
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import { OpenAPITags, registry } from "@server/openApi";
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const addAiModelToResourceBodySchema = z.strictObject({
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modelId: z.int().positive()
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});
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const addAiModelToResourceParamsSchema = z.strictObject({
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resourceId: z.coerce.number().int().positive()
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});
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registry.registerPath({
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method: "post",
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path: "/resource/{resourceId}/ai-models/add",
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description:
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"Add a single AI model to a resource's model restriction allow-list.",
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tags: [OpenAPITags.PublicResource],
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request: {
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params: addAiModelToResourceParamsSchema,
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body: {
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content: {
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"application/json": {
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schema: addAiModelToResourceBodySchema
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}
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}
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}
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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 addAiModelToResource(
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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 parsedBody = addAiModelToResourceBodySchema.safeParse(req.body);
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if (!parsedBody.success) {
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return next(
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createHttpError(
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HttpCode.BAD_REQUEST,
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fromError(parsedBody.error).toString()
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)
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);
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}
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const { modelId } = parsedBody.data;
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const parsedParams = addAiModelToResourceParamsSchema.safeParse(
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req.params
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);
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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).toString()
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)
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);
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}
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const { resourceId } = parsedParams.data;
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const [resource] = await db
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.select()
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.from(resources)
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.where(eq(resources.resourceId, resourceId))
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.limit(1);
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if (!resource) {
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return next(
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createHttpError(HttpCode.NOT_FOUND, "Resource not found")
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);
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}
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if (!resource.aiProviderId) {
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return next(
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createHttpError(
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HttpCode.BAD_REQUEST,
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"Resource has no AI provider linked"
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)
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);
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}
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const [model] = await db
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.select()
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.from(aiModels)
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.where(
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and(
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eq(aiModels.modelId, modelId),
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eq(aiModels.providerId, resource.aiProviderId)
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)
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)
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.limit(1);
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if (!model) {
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return next(
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createHttpError(
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HttpCode.NOT_FOUND,
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"Model not found or does not belong to this resource's AI provider"
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)
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);
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}
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const existingEntry = await db
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.select()
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.from(resourceAiModels)
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.where(
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and(
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eq(resourceAiModels.resourceId, resourceId),
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eq(resourceAiModels.modelId, modelId)
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)
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);
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if (existingEntry.length > 0) {
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return next(
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createHttpError(
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HttpCode.CONFLICT,
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"Model already assigned to resource"
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)
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);
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}
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await db.insert(resourceAiModels).values({ resourceId, modelId });
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return response(res, {
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data: {},
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success: true,
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error: false,
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message: "Model added to resource successfully",
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status: HttpCode.CREATED
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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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