from fastapi import FastAPI

app = FastAPI(
    title="CoreState ML Optimizer Service",
    version="2.0.0",
)

@app.get("/")
def read_root():
    return {"message": "CoreState ML Optimizer Service is running."}

@app.post("/predict/backup-window")
def predict_backup_window(data: dict):
    # Placeholder for prediction logic
    return {"optimal_window_hours": [2, 3, 4, 22, 23]}

# Further endpoints for anomaly detection, etc., will be added here.