Split requirements.txt into role-specific files: - requirements-backend.txt — FastAPI API runtime - requirements-agent.txt — Gradio/LangGraph agent (no embeddings) - requirements-embeddings.txt — opt-in sentence-transformers Default enterprise bundle (./build.sh bundle) builds slim agent without sentence-transformers/torch (~500 MB saved). Embeddings opt-in via ./build.sh bundle:embeddings <tag>. Embedding router degrades gracefully when package is absent (ImportError catch in _embedding_router.py). Updated Dockerfiles: - backend.Dockerfile → requirements-backend.txt - Dockerfile.agent → requirements-agent.txt + WITH_EMBEDDINGS build arg - all-in-one.Dockerfile → requirements-backend.txt Added embeddings variant to build.sh with full manifest/digest output. Hardened .dockerignore (cache, report, model, archive patterns). Other branch work: align git route mocks with async services, remove legacy agent test files superseded by contract tests.
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.