kemal
5463f489a3
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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.
29 lines
881 B
Python
29 lines
881 B
Python
from contextlib import asynccontextmanager
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from app.routers import jobs, predictions, samples, variants
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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# Warm the model cache here once ml/ is wired in.
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yield
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app = FastAPI(title="rarelens API", version="0.1.0", lifespan=lifespan)
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app.add_middleware(
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CORSMiddleware, allow_origins=["*"], allow_methods=["*"], allow_headers=["*"]
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)
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app.include_router(samples.router, prefix="/samples", tags=["samples"])
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app.include_router(jobs.router, prefix="/jobs", tags=["jobs"])
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app.include_router(variants.router, prefix="/variants", tags=["variants"])
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app.include_router(predictions.router, prefix="/predictions", tags=["predictions"])
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@app.get("/health", tags=["ops"])
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async def health() -> dict[str, str]:
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return {"status": "ok"}
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