mirror of
https://github.com/hanzo-apps/dataroom.git
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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.
89 lines
2.3 KiB
TypeScript
89 lines
2.3 KiB
TypeScript
import { logger, metadata, task } from "@trigger.dev/sdk/v3";
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import path from "path";
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import { openai } from "@/features/ai/lib/models/openai";
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import { getFile } from "@/lib/files/get-file";
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import prisma from "@/lib/prisma";
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import type { ProcessFilePayload } from "./types";
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/**
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* Process a PDF file for AI indexing
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* PDFs can be uploaded directly to OpenAI without conversion
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*/
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export const processPdfForAITask = task({
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id: "process-pdf-for-ai",
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retry: { maxAttempts: 3 },
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queue: {
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concurrencyLimit: 5,
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},
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run: async (payload: ProcessFilePayload): Promise<{ fileId: string }> => {
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const { documentId, documentVersionId, teamId, documentName, filePath, storageType } =
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payload;
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logger.info("Processing PDF for AI", {
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documentId,
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documentVersionId,
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teamId,
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});
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// Check if fileId already exists
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const version = await prisma.documentVersion.findUnique({
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where: { id: documentVersionId },
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select: { fileId: true },
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});
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if (version?.fileId) {
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logger.info("PDF already processed, reusing fileId", {
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documentId,
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fileId: version.fileId,
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});
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return { fileId: version.fileId };
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}
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metadata.set("status", "retrieving");
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metadata.set("step", "Retrieving PDF...");
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metadata.set("progress", 20);
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// Get file URL
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const fileUrl = await getFile({
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type: storageType,
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data: filePath,
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isDownload: true,
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});
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// Fetch file
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const response = await fetch(fileUrl);
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if (!response.ok) {
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throw new Error(`Failed to fetch PDF: ${response.statusText}`);
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}
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const buffer = Buffer.from(await response.arrayBuffer());
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const fileName = path.basename(filePath);
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metadata.set("status", "uploading");
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metadata.set("step", "Uploading to OpenAI...");
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metadata.set("progress", 60);
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// Upload to OpenAI Files
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const file = new File([buffer], fileName, { type: "application/pdf" });
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const fileResponse = await openai.files.create({
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file,
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purpose: "assistants",
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});
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// Update document version with fileId
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await prisma.documentVersion.update({
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where: { id: documentVersionId },
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data: { fileId: fileResponse.id },
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});
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logger.info("PDF processed successfully", {
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documentId,
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fileId: fileResponse.id,
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});
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return { fileId: fileResponse.id };
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},
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});
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