services/map_service.py

import matplotlib.pyplot as plt
import numpy as np

def generate_map(gps_coordinates, items):
    if not gps_coordinates or not items:
        return None

    # Extract latitude and longitude
    lats = [coord[0] for coord in gps_coordinates]
    lons = [coord[1] for coord in gps_coordinates]

    # Create a simple plot
    fig, ax = plt.subplots(figsize=(6, 4))
    ax.scatter(lons, lats, c='blue', label='Path', alpha=0.5)

    # Plot cracks and holes
    for coord, item in zip(gps_coordinates[-len(items):], items):
        if item['type'] == 'crack':
            color = 'red' if item['severity'] == 'Severe' else 'orange' if item['severity'] == 'Moderate' else 'green' if item['severity'] == 'Minor' else 'purple'
            marker = 'x'
            label = f"Crack: {item['severity']}"
        else:  # Hole
            color = 'darkred' if item['severity'] == 'Severe' else 'yellow' if item['severity'] == 'Moderate' else 'darkgreen'
            marker = 'o'
            label = f"Hole: {item['severity']}"
        ax.scatter(coord[1], coord[0], c=color, marker=marker, s=100, label=label)

    ax.set_xlabel("Longitude")
    ax.set_ylabel("Latitude")
    ax.set_title("Crack/Hole Locations Map")
    ax.grid(True)

    # Remove duplicate labels in legend
    handles, labels = ax.get_legend_handles_labels()
    by_label = dict(zip(labels, handles))
    ax.legend(by_label.values(), by_label.keys())

    map_path = "map_temp.png"
    plt.savefig(map_path)
    plt.close(fig)
    return map_path