Move dataset review clarification into the assistant workspace and rework the review page into a chat-centric layout with execution rails. Add session-scoped assistant actions for mappings, semantic fields, and SQL preview generation. Introduce optimistic locking for dataset review mutations, propagate session versions through API responses, and mask imported filter values before assistant exposure. Refresh tests, i18n, and spec artifacts to match the new workflow. BREAKING CHANGE: dataset review mutation endpoints now require the X-Session-Version header, and clarification is no longer handled through ClarificationDialog-based flows
Superset Tools Frontend (SvelteKit)
This is the frontend for the Superset Tools application, built with SvelteKit in SPA mode.
Development
-
Install dependencies:
npm install -
Run development server:
npm run devThe frontend will be available at
http://localhost:5173. It is configured to proxy API requests tohttp://localhost:8000.
Production Build
-
Build the static SPA:
npm run buildThis generates a static SPA in the
build/directory. -
Serve with Backend: The Python backend is configured to serve the files from
frontend/build/. Ensure the backend is running:cd ../backend python src/app.py
Architecture
- Routing: File-based routing in
src/routes/. - Layouts: Shared UI in
src/routes/+layout.svelte. - Data Loading:
loadfunctions in+page.tsfor efficient data fetching. - API Client: Centralized API logic in
src/lib/api.js. - Styling: Tailwind CSS.