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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f5982b410d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"from asq.initiators import query\n",
"import json\n",
"\n",
"workload_name = []\n",
"workload_score = []\n",
"project_name = 'workspace'\n",
"\n",
"with open(\"qpi.json\".format(project_name)) as result:\n",
" final = json.load(result)\n",
"\n",
"qpi = query(final['nodes']).where(lambda child: child['name'] == 'node-9') \\\n",
" .select_many(lambda child: child['sections']) \\\n",
" .where(lambda child: child['name'] == 'SSL') \\\n",
" .select_many(lambda child: child['metrics']).to_list()\n",
"\n",
"for wl in qpi[0]['workloads']:\n",
" workload_name.append(wl['name'])\n",
" workload_score.append(wl['score'])\n",
"\n",
"x_axis = range(len(workload_name))\n",
"\n",
"plt.bar(x_axis, workload_score)\n",
"plt.xticks(x_axis, workload_name)\n",
"plt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.12"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
|
