Files
ss-tools/frontend
busya 67ba04d4ff feat: implement LLM table translation service with searchable datasource dropdown, i18n, sidebar, and RBAC
- Add backend plugin modules: preview, executor, orchestrator, events, sql_generator, superset_executor, dictionary, scheduler, metrics
- Add API routes for translate jobs, runs, dictionaries, preview, schedule, metrics, corrections
- Add ORM models (12 tables) and Pydantic schemas (15 DTOs)
- Register translate router in app.py with RBAC permission guards
- Add frontend pages: job list, job config, dictionary list/editor, history
- Add 7 reusable Svelte 5 components: Preview, RunProgress, RunResult, TermCorrection, BulkCorrection, ScheduleConfig, MetricsDashboard
- Add searchable datasource dropdown with Superset API integration
- Add i18n (en/ru) with ~300 keys across common, config, jobs, dictionaries, preview namespaces
- Add Translation sidebar category with Jobs/Dictionaries/History sub-items
- Hide health monitor error toast via suppressToast API option
- Add 69 backend tests and 44 frontend test files
- Fix: SupersetClient env resolution (string -> Environment object)
- Fix: Dataset detail API returns proper database dict
- Fix: Database dialect extraction fallback when metadata incomplete
2026-05-09 19:34:25 +03:00
..
2026-04-01 21:57:51 +03:00
2026-01-23 21:58:32 +03:00
2026-01-22 23:18:48 +03:00
2026-02-19 13:33:20 +03:00
2026-02-19 13:33:20 +03:00
fix
2026-02-15 11:11:30 +03:00
2026-02-19 18:24:36 +03:00
2025-12-30 20:08:48 +03:00

Superset Tools Frontend (SvelteKit)

This is the frontend for the Superset Tools application, built with SvelteKit in SPA mode.

Development

  1. Install dependencies:

    npm install
    
  2. Run development server:

    npm run dev
    

    The frontend will be available at http://localhost:5173. It is configured to proxy API requests to http://localhost:8000.

Production Build

  1. Build the static SPA:

    npm run build
    

    This generates a static SPA in the build/ directory.

  2. 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: load functions in +page.ts for efficient data fetching.
  • API Client: Centralized API logic in src/lib/api.js.
  • Styling: Tailwind CSS.