Initial release: rarelens platform skeleton (AGPL-3.0)

End-to-end variant interpretation platform for rare genetic disease research:
SvelteKit UI, FastAPI + PostgreSQL API, Nextflow/Ensembl VEP pipeline,
LightGBM pathogenicity scoring with MLflow, K8s/ArgoCD/GCP infrastructure.
Public test data only; no clinical claims.

api/app/routers/predictions.py

@@ -0,0 +1,16 @@
+import uuid
+
+from fastapi import APIRouter, Depends
+from sqlalchemy.ext.asyncio import AsyncSession
+
+from app.db import get_session
+from app.services.scoring import score_job
+
+router = APIRouter()
+
+
+@router.post("/score/{job_id}")
+async def score(job_id: uuid.UUID, session: AsyncSession = Depends(get_session)) -> dict:
+    """Load the registered MLflow model and score every variant of a job."""
+    n = await score_job(job_id, session)
+    return {"job_id": str(job_id), "scored": n}