- Add environment_id to TranslationJob model/schema/API + DB migration - Pass environmentId from page to TranslationPreview and fetchPreview - Fix _fetch_sample_rows: use result_type='samples' to include virtual cols - Add 'kilo' and 'openrouter' to supported LLM provider types - Make response_format conditional (skip for non-OpenAI upstream providers) - Remove source_table field from form (redundant with datasource) - Restore datasourceSearch display from saved job on page load - Add request/response logging for LLM API calls
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.