helpers.py

import cv2
import numpy as np
from typing import Dict, List, Any
import requests

async def process_image(image_path: str) -> Dict[str, Any]:
    """Procesira sliko in identificira predmete."""
    # Implementacija procesiranja slike
    # TODO: Uporabi model za detekcijo objektov
    return {
        "detected_objects": [],
        "count": 0,
        "risk_factors": {}
    }

def analyze_risk(items: Dict[str, Any], location: str) -> Dict[str, Any]:
    """Analizira tveganje na podlagi predmetov in lokacije."""
    risk_score = calculate_base_risk_score(items)
    location_factor = get_location_risk_factor(location)
    
    return {
        "base_rate": risk_score * location_factor,
        "risk_factors": {
            "items": items["risk_factors"],
            "location": location_factor
        }
    }

def calculate_base_risk_score(items: Dict[str, Any]) -> float:
    """Izračuna osnovni faktor tveganja."""
    base_score = 1.0
    for item in items.get("detected_objects", []):
        # Implementacija izračuna
        pass
    return base_score

def get_location_risk_factor(location: str) -> float:
    """Pridobi faktor tveganja za lokacijo."""
    # Implementacija pridobivanja faktorja lokacije
    return 1.0