from fastapi import FastAPI from fastapi.responses import HTMLResponse from pydantic import BaseModel from typing import List, Any import joblib import pandas as pd import numpy as np app = FastAPI(title="Getaround Pricing API") # ── Load model ──────────────────────────────────────────────────────────── try: model = joblib.load("pricing_model.joblib") except: model = None # ── Input schema ────────────────────────────────────────────────────────── class PredictInput(BaseModel): input: List[List[Any]] COLUMNS = [ "model_key", "mileage", "engine_power", "fuel", "paint_color", "car_type", "private_parking_available", "has_gps", "has_air_conditioning", "automatic_car", "has_getaround_connect", "has_speed_regulator", "winter_tires" ] # ── /predict ────────────────────────────────────────────────────────────── @app.post("/predict") def predict(data: PredictInput): df = pd.DataFrame(data.input, columns=COLUMNS) for col in ["mileage", "engine_power"]: df[col] = df[col].astype(float) for col in ["private_parking_available", "has_gps", "has_air_conditioning", "automatic_car", "has_getaround_connect", "has_speed_regulator", "winter_tires"]: df[col] = df[col].astype(bool) predictions = model.predict(df).tolist() return {"prediction": predictions} # ── /documentation — page HTML custom ──────────────────────────────────── @app.get("/documentation", response_class=HTMLResponse) def documentation(): return """ Getaround API Documentation

getaround

API DOCS

Getaround Pricing API

API de prédiction de prix pour l'optimisation tarifaire des véhicules Getaround.

POST /predict

Prédit le prix optimal par jour pour un ou plusieurs véhicules.

Ordre des valeurs par véhicule

#	Champ	Type	Exemple
0	model_key	string	"Renault"
1	mileage	float	80000
2	engine_power	float	120
3	fuel	string	"diesel"
4	paint_color	string	"black"
5	car_type	string	"sedan"
6	private_parking_available	bool	true
7	has_gps	bool	true
8	has_air_conditioning	bool	true
9	automatic_car	bool	false
10	has_getaround_connect	bool	true
11	has_speed_regulator	bool	true
12	winter_tires	bool	false

Exemple de requête

curl -X POST https://nana12a-getaround-api.hf.space/predict \
  -H "Content-Type: application/json" \
  -d '{"input": [["Renault", 80000, 120, "diesel", "black", "sedan", true, true, true, false, true, true, false]]}'

Exemple de réponse

{"prediction": [143.43]}

💡 Swagger interactif disponible sur /docs

GET /health

Vérifie que l'API est en ligne et que le modèle est bien chargé.

Exemple de réponse

{"status": "ok", "model": "loaded"}

""" # ── /health ─────────────────────────────────────────────────────────────── @app.get("/health") def health(): return {"status": "ok", "model": "loaded" if model else "unavailable"}