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