These fields were showing database types (PostgreSQL, ClickHouse) as human language options for the LLM prompt, which was confusing. Now sending sensible defaults (source='SQL', target='en') directly in the save payload without exposing them in the UI. The backend already has fallbacks: _llm_call.py: source_language = job.source_dialect or 'SQL' _batch_proc.py: target_langs = or [job.target_dialect or 'en']
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.