from fastapi import FastAPI
from .routes import router
import os

app = FastAPI(
    title="Mila-Wellnest API",
    description="Pregnancy Risk Prediction backend powered by fine-tuned DistilBERT.",
    version="1.0.0"
)

@app.get("/")
def root():
    return {"message": "👶 Hello from Mila-Wellnest Backend API"}

# Mount your prediction endpoint
app.include_router(router)

# Optional: Run training once on startup if model is missing
@app.on_event("startup")
async def startup_event():
    checkpoint_path = "./data/best_model"  # ✅ persistent path
    if not os.path.exists(checkpoint_path):
        os.makedirs(checkpoint_path, exist_ok=True)
        print("⚙️ No checkpoint found. Starting training...")
        from backend.app.train import train
        train()