Add graph.py

report/graph.py

+import matplotlib.pyplot as plt
+
+# Given values
+cpu_utilization = [10, 30, 40, 50, 60, 80, 90, 100]
+avg_cpu_utilization = [0.20,
+18.23,
+23.60,
+29.51,
+33.68,
+29.66,
+32.20,
+22.98,
+]
+num_of_pods = [1, 1, 2, 2, 2, 3, 3, 5]
+
+# Plotting
+plt.figure(figsize=(10, 6))
+
+# CPU Utilization on x-axis
+plt.plot(cpu_utilization, avg_cpu_utilization, label='Avg CPU Utilization', marker='o')
+
+# Number of Pods
+plt.plot(cpu_utilization, num_of_pods, label='Number of Pods', marker='o')
+
+plt.title('Average CPU Utilization and Number of Pods vs. CPU Utilization')
+plt.xlabel('CPU Utilization Limit(%)')
+plt.ylabel('Average CPU Utilization(%)')
+plt.legend()
+plt.grid(True)
+plt.text(100, 5, 'minReplicas: 1\nmaxReplicas: 5\nMax CPU utilization: 40%', bbox=dict(facecolor='lightblue', alpha=0.5))
+for cpu, avg_cpu, pods in zip(cpu_utilization, avg_cpu_utilization, num_of_pods):
+   
+        plt.text(cpu, avg_cpu, f'{avg_cpu}', ha='right', va='bottom')
+        plt.text(cpu, pods, f'{pods}', ha='right', va='bottom')
+
+plt.tight_layout()
+plt.show()