- Auto-detection of source language per row via LLM (US6) - Multi-target translation — one LLM call for N languages (US1-US3) - Language-aware storage: TranslationLanguage, per-language stats - Multilingual dictionaries with language-pair-aware filtering (US7) - Inline correction on any run result + submit-to-dictionary (US8) - Context-aware dictionary: auto-capture row context, usage notes, Jaccard similarity, priority flagging in LLM prompts (US8b) - Configurable preview sample size 1-100, cost warning at >30 - Per-language history & metrics with MetricSnapshot preservation - 36 files, +5022/-373, all specs GRACE-Poly v2.6 compliant
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.