Files
pangolin/server/routers/resource/listResourceAiModels.ts
T
2026-08-02 10:50:50 -04:00

108 lines
3.3 KiB
TypeScript

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<Awaited<ReturnType<typeof query>>>;
};
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<any> {
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<ListResourceAiModelsResponse>(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")
);
}
}