Residual risk matrix graph je sada predstavljen na tabeli

backend/core/utils.py

@@ -449,16 +449,13 @@ def generate_residual_risk_graph(risks_with_controls):
     likelihoods = [risk.get('residual_likelihood', 0) for risk in risks_with_controls]
     risk_ids = [risk['risk']['id'] for risk in risks_with_controls]
 
-    bg_img_path = find('img/graph_matrix.png')
-    bg_img = mpimg.imread(bg_img_path)
-
     fig, ax = plt.subplots(figsize=(10, 8))
 
-    ax.imshow(bg_img, extent=[0.0, 5.4, 0.0, 5.4], aspect='auto')
+    _draw_risk_matrix_background(ax)
 
     scatter = ax.scatter(
-        likelihoods, impacts, 
-        c="blue", edgecolors="white", s=500, alpha=0.9
+        likelihoods, impacts,
+        c="#000000", edgecolors="white", linewidths=1.5, s=420, alpha=0.95, zorder=3
     )
 
     for i, risk_id in enumerate(risk_ids):
@@ -470,20 +467,11 @@ def generate_residual_risk_graph(risks_with_controls):
             ha="center",
             va="center",
             weight="bold",
+            zorder=4,
         )
 
-    ax.set_xticks([])
-    ax.set_yticks([])
-    ax.set_xticklabels([])
-    ax.set_yticklabels([])
-
-    ax.spines['top'].set_visible(False)
-    ax.spines['right'].set_visible(False)
-    ax.spines['left'].set_visible(False)
-    ax.spines['bottom'].set_visible(False)
-
     buffer = io.BytesIO()
-    plt.savefig(buffer, format="png", transparent=True, bbox_inches='tight', pad_inches=0)
+    plt.savefig(buffer, format="png", transparent=True, bbox_inches='tight', pad_inches=0.1)
     buffer.seek(0)
     image_png = buffer.getvalue()
     buffer.close()