ms
15 lines
741 B
Python
15 lines
741 B
Python
import io,threading
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import matplotlib
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matplotlib.use('Agg')
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import matplotlib.pyplot as plt
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import seaborn as sns
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import numpy as np
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_lock=threading.Lock()
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def heatmap(rows):
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with _lock:
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fig,ax=plt.subplots(figsize=(9,max(3,len(rows)*.35+1.5)))
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values=np.array([[r['cpu'],r['ram'],r['disk']] for r in rows],dtype=float)
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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 (%)'})
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ax.set_title('dilib Operations · Mittlere Ressourcenauslastung',pad=18)
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fig.tight_layout(); b=io.BytesIO();fig.savefig(b,format='png',dpi=140);plt.close(fig);return b.getvalue()
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