init

monitoring/reports.py

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+import io,threading
+import matplotlib
+matplotlib.use('Agg')
+import matplotlib.pyplot as plt
+import seaborn as sns
+import numpy as np
+_lock=threading.Lock()
+def heatmap(rows):
+    with _lock:
+        fig,ax=plt.subplots(figsize=(9,max(3,len(rows)*.35+1.5)))
+        values=np.array([[r['cpu'],r['ram'],r['disk']] for r in rows],dtype=float)
+        sns.heatmap(values,annot=True,fmt='.1f',vmin=0,vmax=100,cmap='YlGnBu',xticklabels=['CPU %','RAM %','Disk %'],yticklabels=[r['server__name'] for r in rows],ax=ax,cbar_kws={'label':'Auslastung (%)'})
+        ax.set_title('dilib Operations · Mittlere Ressourcenauslastung',pad=18)
+        fig.tight_layout(); b=io.BytesIO();fig.savefig(b,format='png',dpi=140);plt.close(fig);return b.getvalue()