Files
dataroom/pages/api/teams/[teamId]/datarooms/generate-ai-structure.ts
zeekay caad90bc04 rip: enterprise dirs + paywalls — full AGPL, no commercial-license code
Drop the dual-licensed `ee/` tree entirely. All features previously
locked behind the Hanzo Dataroom Commercial License are now part of the
AGPL-3.0 core and freely available — custom domains, branded viewing,
advanced analytics, watermarks, access controls, Q&A, AI vector stores,
workflows, SAML SSO, dataroom invitations, conversations, templates.

Layout changes:
* `ee/features/{ai,conversations,workflows,permissions,storage,templates,
  dataroom-invitations,access-notifications,security,conversions}/` →
  `features/<name>/` (AGPL).
* `ee/limits/` → `lib/billing/limits/` with every plan resolving to an
  unlimited profile (no users/links/documents/domains/datarooms cap,
  conversations and watermarks always on).
* `ee/stripe/` → `lib/billing/legacy/` (already a compat shim over
  `@hanzoai/commerce`; renewal-reminder webhook is now a no-op).
* `ee/features/billing/cancellation/` deleted. Pause/unpause/cancel/
  retention routes now compile against `lib/billing/cancellation.ts`
  stubs that return 410 Gone; `isTeamPaused`/`isTeamPausedById` in
  `lib/billing/paused.ts` always report active. `CancellationModal` is
  a no-op shim in `components/billing/`.
* `app/(ee)/api/*` route group folded into `app/api/*` (SAML auth,
  SCIM, AI chat, workflows, FAQ, link-upload).

Build: `npm run build` green.
2026-06-07 11:46:48 -07:00

197 lines
6.1 KiB
TypeScript

import type { NextApiRequest, NextApiResponse } from "next";
import { isTeamPausedById } from "@/lib/billing/paused";
import {
getDataroomSystemPrompt,
getDataroomUserPrompt,
} from "@/features/templates/lib/prompts";
import { openai } from "@ai-sdk/openai";
import { generateObject } from "ai";
import { getServerSession } from "next-auth/next";
import { z } from "zod";
import prisma from "@/lib/prisma";
import { CustomUser } from "@/lib/types";
import { authOptions } from "../../../auth/[...nextauth]";
export const config = {
maxDuration: 120,
};
// Non-recursive folder schema with fixed depth (max 2 levels)
// This avoids the "Recursive reference detected" error from the AI SDK
// which cannot convert z.lazy() recursive schemas to JSON Schema properly
// Limited to top-level folders + 1 level of subfolders for simplicity
// Level 2 (subfolders) - no further nesting allowed
const subfolderSchema = z.object({
name: z.string().min(1).max(100),
});
// Level 1 (top-level folders) - subfolders is required but can be empty array
const folderSchema = z.object({
name: z.string().min(1).max(100),
subfolders: z.array(subfolderSchema).max(5), // Required, but can be empty []
});
const dataroomStructureSchema = z.object({
name: z.string().min(1).max(255),
folders: z.array(folderSchema).min(1).max(8),
});
export default async function handle(
req: NextApiRequest,
res: NextApiResponse,
) {
if (req.method === "POST") {
// POST /api/teams/:teamId/datarooms/generate-ai-structure
const session = await getServerSession(req, res, authOptions);
if (!session) {
res.status(401).end("Unauthorized");
return;
}
const userId = (session.user as CustomUser).id;
const { teamId } = req.query as { teamId: string };
const { description } = req.body as { description: string };
if (
!description ||
typeof description !== "string" ||
description.trim().length === 0
) {
return res.status(400).json({
message: "Description is required",
});
}
// Validate description length and content
if (description.length > 2000) {
return res.status(400).json({
message:
"Description is too long. Please keep it under 2000 characters.",
});
}
try {
const teamAccess = await prisma.userTeam.findUnique({
where: {
userId_teamId: {
userId: userId,
teamId: teamId,
},
},
});
if (!teamAccess) {
return res.status(401).end("Unauthorized");
}
// Check if team is paused
const teamIsPaused = await isTeamPausedById(teamId);
if (teamIsPaused) {
return res.status(403).json({
error:
"Team is currently paused. New dataroom creation is not available.",
});
}
// Use AI SDK with structured outputs to generate folder structure
// This automatically validates the response format and reduces parsing errors
const [systemPrompt, userPrompt] = await Promise.all([
getDataroomSystemPrompt(),
getDataroomUserPrompt(description),
]);
const result = await generateObject({
model: openai("gpt-4o-mini"),
schema: dataroomStructureSchema,
messages: [
{ role: "system", content: systemPrompt },
{ role: "user", content: userPrompt },
],
temperature: 0.3,
providerOptions: {
openai: {
maxOutputTokens: 600,
},
},
});
// Validate folder depth (max 2 levels: top-level + 1 subfolder level)
const validateFolderStructure = (folder: any): boolean => {
if (folder.subfolders) {
// Enforce subfolder limits (max 5 subfolders per folder)
if (folder.subfolders.length > 5) return false;
// Ensure subfolders don't have their own subfolders (max 2 levels)
for (const sub of folder.subfolders) {
if (sub.subfolders && sub.subfolders.length > 0) return false;
}
}
return true;
};
if (
!result.object.folders.every((folder) => validateFolderStructure(folder))
) {
return res.status(500).json({
message:
"Generated folder structure exceeds maximum depth (2 levels)",
});
}
// Additional safety: ensure we don't have too many top-level folders
if (result.object.folders.length > 8) {
return res.status(500).json({
message:
"Generated folder structure has too many top-level folders (max 8)",
});
}
res.status(200).json({
name: result.object.name.trim(),
folders: result.object.folders,
message: "Folder structure generated successfully",
});
} catch (error) {
console.error("Error generating AI folder structure:", error);
// Provide more specific error messages based on error type
let errorMessage = "Error generating folder structure";
let statusCode = 500;
if (error instanceof Error) {
// Check for OpenAI API errors
if (
error.message.includes("API key") ||
error.message.includes("authentication")
) {
errorMessage = "AI service configuration error";
} else if (
error.message.includes("rate limit") ||
error.message.includes("quota")
) {
errorMessage =
"AI service is temporarily unavailable. Please try again later.";
statusCode = 429;
} else if (error.message.includes("timeout")) {
errorMessage =
"Request timed out. Please try again with a shorter description.";
statusCode = 504;
} else if (process.env.NODE_ENV !== "production") {
// Only show detailed error in development
errorMessage = error.message;
}
}
return res.status(statusCode).json({
message: errorMessage,
});
}
} else {
// We only allow POST requests
res.setHeader("Allow", ["POST"]);
return res.status(405).end(`Method ${req.method} Not Allowed`);
}
}