Update services/map_service.py

services/map_service.py

@@ -1,37 +1,41 @@
-import folium
-import os
-import imgkit
-import uuid
+import matplotlib.pyplot as plt
+import numpy as np
 
 def generate_map(gps_coordinates, items):
-    if not gps_coordinates:
+    if not gps_coordinates or not items:
         return None
-    avg_lat = sum(coord[0] for coord in gps_coordinates) / len(gps_coordinates)
-    avg_lon = sum(coord[1] for coord in gps_coordinates) / len(gps_coordinates)
-    m = folium.Map(location=[avg_lat, avg_lon], zoom_start=15)
 
+    # 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'] == 'Large' else 'orange'
-            popup = f"Crack: {item['severity']}, Confidence: {item['confidence']:.2f}"
-        else:
-            color = 'pink'
-            popup = f"Object: {item['label']}, Confidence: {item['confidence']:.2f}"
-        folium.Marker(
-            location=coord,
-            popup=popup,
-            icon=folium.Icon(color=color)
-        ).add_to(m)
+            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 = f"map_temp_{uuid.uuid4().hex}.html"
-    m.save(map_path)
-    
-    # Convert HTML map to PNG
-    try:
-        img_path = map_path.replace('.html', '.png')
-        imgkit.from_file(map_path, img_path)
-        os.remove(map_path)  # Clean up HTML file
-        return img_path
-    except Exception as e:
-        print(f"Error converting map to PNG: {str(e)}")
-        return None
+    map_path = "map_temp.png"
+    plt.savefig(map_path)
+    plt.close(fig)
+    return map_path