LDaCA Wordflow Backend

FastAPI service for LDaCA Wordflow. The package can run the API by itself or serve the bundled production frontend from the same process.

Quick start

# Install and run (backend + frontend on one port)
uvx ldaca-wordflow

# Or run only the backend API
uvx ldaca-wordflow --backend

# Custom port
uvx ldaca-wordflow --port 9000

Notebook and BinderHub launch

Use the asynchronous launcher when Python must retain control of the event loop, such as a BinderHub notebook cell:

from ldaca_wordflow import start_async_server

server = await start_async_server()
# The compiled web application is now ready through jupyter-server-proxy.

await server.close()

start_async_server() returns only after ASGI lifespan startup succeeds. Its caller-owned handle supports waiting and bounded graceful shutdown. Under JupyterHub, the launcher derives the proxy root_path from JUPYTERHUB_SERVICE_PREFIX.

Development

Backend architecture: ../docs/architecture/backend/overview.md
HTTP endpoint inventory: ../docs/reference/backend-api.md
Settings reference: ../docs/reference/backend-settings.md
Lint: uv run ruff check .
Type check: uv run ty check
Tests: uv run pytest -q
OpenAPI export: uv run python scripts/export_openapi.py --output <path>

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