أبسط FastAPI إنتاجي
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
import joblib
import numpy as np
app = FastAPI()
model = joblib.load('model.pkl')
class PredictRequest(BaseModel):
features: list[float]
class PredictResponse(BaseModel):
prediction: float
probability: float
model_version: str = 'v1.2'
@app.post('/predict', response_model=PredictResponse)
async def predict(req: PredictRequest):
X = np.array(req.features).reshape(1, -1)
pred = model.predict(X)[0]
prob = model.predict_proba(X)[0].max()
return PredictResponse(prediction=float(pred), probability=float(prob))
@app.get('/health')
def health(): return {'status': 'ok', 'model': 'loaded'}
قائمة مراجعة الإنتاج