- Add async HTTP-based LLM transport (_llm_async_http.py) - Add orthogonal LLM call tests - Improve language detection (_lang_detect.py) and batch insert - Update translate schemas, service utils, preview constants/prompts - Add TranslateHistoryModel with pagination and filtering - Update agent confirmation, persistence, langgraph setup, run, tools - Improve LLM health checking in shared module - Update translate runs API, history route
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.