diff options
| -rw-r--r-- | examples/compute-qpi-report/qpi.json | 250 | ||||
| -rw-r--r-- | examples/compute-qpi-report/report.ipynb | 71 |
2 files changed, 321 insertions, 0 deletions
diff --git a/examples/compute-qpi-report/qpi.json b/examples/compute-qpi-report/qpi.json new file mode 100644 index 00000000..313b0ed5 --- /dev/null +++ b/examples/compute-qpi-report/qpi.json @@ -0,0 +1,250 @@ +{ + "score": 1789, + "nodes": [ + { + "name": "node-9", + "description": "QTIP Performance Index of compute", + "system_info": { + "product": [ + "KVM" + ], + "disk": [ + "53.7GB (5.9% used)" + ], + "os": [ + "Ubuntu 14.04 trusty" + ], + "memory": [ + "799.5/3945.4MB" + ] + }, + "score": 1789, + "sections": [ + { + "metrics": [ + { + "score": 0.8011997053326527, + "workloads": [ + { + "description": "workload", + "score": 0.906301071363719, + "result": "14973.3", + "name": "rsa_sign_512" + }, + { + "description": "workload", + "score": 0.9057407614156525, + "result": "202818.2", + "name": "rsa_verify_512" + }, + { + "description": "workload", + "score": 0.9153740089624267, + "result": "5311.7", + "name": "rsa_sign_1024" + }, + { + "description": "workload", + "score": 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--- /dev/null +++ b/examples/compute-qpi-report/report.ipynb @@ -0,0 +1,71 @@ +{ + "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 +} |