sourceDialect/targetDialect select options contained database types (PostgreSQL, ClickHouse, MySQL...) while these fields are used as human language indicators for the LLM prompt: _llm_call.py: source_language = job.source_dialect or 'SQL' Changed to use the existing LANGUAGES list (from LANGUAGE_LABELS: ru, en, de, fr, es, etc.) plus 'SQL' option for source dialect. Defaults updated: source='SQL' (SQL-like expressions), target='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.