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49fd357 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | """Prediction router for pricing API."""
import logging
from fastapi import APIRouter, HTTPException
from src.api.schemas.prediction import PredictionInput, PredictionOutput
from src.ml.predict import ModelNotFoundError, get_predictor
logger = logging.getLogger(__name__)
router = APIRouter(tags=["prediction"])
@router.post(
"/predict",
response_model=PredictionOutput,
summary="Predict rental prices",
description="Predict optimal rental prices for cars based on their features.",
)
async def predict(data: PredictionInput) -> PredictionOutput:
"""Predict rental prices from car features.
Args:
data: Input containing list of car features.
Returns:
Predictions with list of predicted prices in EUR.
Raises:
HTTPException: If model is not available or prediction fails.
"""
logger.info("Received prediction request for %d cars", len(data.cars))
try:
predictor = get_predictor()
cars_dict = [car.model_dump() for car in data.cars]
predictions = predictor.predict_from_features(cars_dict)
logger.info("Predictions completed: %s", predictions)
return PredictionOutput(prediction=predictions)
except ModelNotFoundError as e:
logger.error("Model not found: %s", e)
raise HTTPException(status_code=503, detail="Model not available") from e
except Exception as e:
logger.error("Prediction failed: %s", e)
raise HTTPException(
status_code=500,
detail="Internal prediction error",
) from e
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