diff options
| -rw-r--r-- | examples/compute-qpi-report/report.ipynb | 61 |
1 files changed, 49 insertions, 12 deletions
diff --git a/examples/compute-qpi-report/report.ipynb b/examples/compute-qpi-report/report.ipynb index 34bacf5c..98b5f40d 100644 --- a/examples/compute-qpi-report/report.ipynb +++ b/examples/compute-qpi-report/report.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "code", - "execution_count": 100, + "execution_count": 55, "metadata": { - "collapsed": true, "scrolled": false }, "outputs": [], "source": [ + "from prettytable import PrettyTable\n", "import matplotlib.pyplot as plt\n", "from asq.initiators import query\n", "import json\n", @@ -21,6 +21,10 @@ "def extract_results(node_name, section_name):\n", " workload_name = []\n", " workload_score = []\n", + " if section_name == 'system_info':\n", + " for node in final['nodes']:\n", + " if node['name'] == node_name: \n", + " return node['system_info']\n", " qpi = query(final['nodes']).where(lambda child: child['name'] == node_name) \\\n", " .select_many(lambda child: child['sections']) \\\n", " .where(lambda child: child['name'] == section_name) \\\n", @@ -42,16 +46,16 @@ }, { "cell_type": "code", - "execution_count": 101, + "execution_count": 56, "metadata": { - "scrolled": true + "scrolled": false }, "outputs": [ { "data": { "image/png": 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"text/plain": [ - "<matplotlib.figure.Figure at 0x7ffa5549c150>" + "<matplotlib.figure.Figure at 0x7fccb0451b10>" ] }, "metadata": {}, @@ -65,14 +69,14 @@ }, { "cell_type": "code", - "execution_count": 102, + "execution_count": 57, "metadata": {}, "outputs": [ { "data": { "image/png": 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7Frg1Ik5QXrT0LbLcTirl9mZyGGXT5bYx8I6I+FbZXoQ8+90xIp4o+zYgf/hq\nLbcecX2O/PH/NrBfRFxYhqVuTjarLgecEg1d0NcqA0mfBlYnm432JuereiEifiDpw+TorCkR8ada\nyq3u9rG58UY2I11IXmEIDbXpltdepI/HhpLNNVt2Mk5y6ocFy/3DybPKccDwHseNaMXV6TJk+gnT\n8LZ9B5Qv6Dple2FmcXtuPzGNI6+6bW1/HDi5l+MaK7fyuvO2Pnfl/mhyosUxrfgo/R8dimdouZ1B\nNrmsSSaHF4GN245rfSYb+76W118M+Fq5vzvZSX9Wp17ffQozobfxv73ti4h/AXtExIWtw+qOrTfK\ni5qOVK6i1luc0yLi9xHx+9afdCKuyHHVrX6Lw8khdl8FFpX0jnKmBG0XCkX5hnRK6/Ui4qW2fT8g\nm9mOl7QPOU3xYh2MaVJE3Nu26zlySDGS1itnkdBguZXXnRoRU8rmtMjrcR4FHio1q2PI5rhOxTMt\n8hqcM4DFIuIf5EVxT/eIo6N9CH0YCqysnC78AHJU4/zlM1c7J4WZEBEh6Z2SPi9pfUkLln3Vj2np\nLBoSEY+0Os+iQxPd9fLDvxBZa3ljzzjL8UPLv8M7GWfrtdrK53BypNZE8sK0B8r+pr+cr1Gq6seS\nY9dPAH4VEQ83EEfrezsZuKv00ZxIGXLaTeUW0684f4gckn0iebX/Ew2E8xzwdUl3kdd3bAv8uJw8\ndUW5lc/Yv8nrnk4lp4Xfi5xwsSP9Q+5TGIC2tr71gFPIhV5eJt+4n0fEE23HDI3sNF2IbA/8cZTR\nPDXHuCI5lO6PkpaInOIX5dW265GdyC+0Hd+KcxQ52dwOpYbTUW0d3+uQH/rx0aHrIwZDOavtucDn\nI+L8JuNUTqp4LZlEvxwN9SH0pW1U0V/Jifi2j7rawgcWz3HAPRHxw7K9WET8p9Nx9Ee50NDIKB3w\nyutQapvy4zWv3YXfu66knKDtO2SH7E2StidHfzwEnBoRU1pvXEkIF5KdzH/uQGxLktNbv5+8JP8g\nYElgf7LdeycyeT1YagtD2hLXr8k59q+sO84ZKZ2oHwceioiJDf/QLtLW9NHb48uQQ2Sva9W8Gox1\ndXJW0R2i2QusBlJu+5GTLDaauFQmtCv3h1Ba2RqMp89yK8dUIwU7wc1HfejR3DKc7KT6IEBEnEsO\nDVsR2EPS8JIQRpGjBjqSEIphZFLYjKzJTCBnd/wquYDJHuTImVY78zRJbyTPeL9eV0KYiT6YF4Gf\nxfRRH104tfskAAANo0lEQVTZB1OS1QOR16VATfMvzUS53Q68NSIuazVbzupYBqK/citOiojf1Rnn\nQMqtLSEo8tqXJhNCv+XW6YQAniW1T6U5aGNyVMLFkt5HLkYzOSJ+XJoPhgJ3RM5tPoK8MvjwDtUQ\nFievurxb0lPAkcB3I+I+ykU55NC2pYANJa0REbeVP/8UOY786rria/XBkKNmriLL6ZmeNYHSlPWi\npi+92bE+mB4/Cu19MFN6eXwIMK2cALxUV5wDKbfWD2vkdBGtabk7dpHVzJRbiW9qq9zqinMmP2/T\nOv2DO8hym9ZWbh3hmkIvWllbOVLiMHJemx0i17LdD/i4pAMgawzx2gu+Do6IqzoQ43CyuWhouT+J\nHBmzmKRtS2z3lOr67uTSfMu0PcW36mpyaCu/9cgx/muRF6ntqZw2PNqOae+DOVjSyDpi6iXGFckL\np1pTKLfOvK8DvleaGXr7go4i1+hdtoaYBlxuZC3l1VJuB7nc/HmbZaLB8bjdfCObYv5JTg73efKq\nxw+WxzYnO5mXYfp8Mx0bd90W47zkhUoTyOl0IUd4nEK59qDt2OPLcUPowDhs8mztT8C6ZXt78urb\ng5g+hn1Y+Xch4M/kGg+dKLclgX+RF8ktSQ6RPIOc9mAlstmtNaZelLmGSpyXApu63Fxuc0K59Rpv\nJ1+sm29kE8tebdv7At9r2x5Pjv8eX7YXbTDWViLaENiLbDY6jpyOeGSJ/XRg63LcUNoSR41xtU+/\nvTG5pOJRPcrwBHK95eFl36jyZe7IF7S85jLkFbafIecIWo6c5O4HpdzuB77S42/eCFwGvN3l5nKb\nncut33g7/YLdeiOz+BrA4mV7G7I5ZhjTM/dZwIOd/ED1Ee9byZEnK5KziB5G1gaWK4nhM3UngRnE\ntTHT1xF4Jzl891Ntj28PrFbujyCvZn5Hh2JbnDIrJjle/ileuw7CCmST3OXk6LE12h77MjXOq+9y\nc7l1stz6jLuJF+3GG9msMoJcHvCwsn0Bmc1XI9sDTyXXuz2h4VjXJFeJ+lbbvrXI+d9PIWsMnZxG\noDW0eX1yLYFXKQsJAe8gx6gf0MvfjQBW6FCMw8kFXVZpu/9Dsoa1bY9jly3luFXP/6PLzeU2u5bb\ngGNv6oW75db2AVuq/Pt28rLyfckFZ04kF3m5lVw28MPAiQ3H/BZytsxzgVXb9q9LTi63RgMxbYb7\nYFxuLreuLreB3Ob6IakREZK2Ao6WtA25busrwOfIN2cfAOW4/g2AL5ELqnRMa6haGV0BuXLaHuRZ\nxzaSXomIuyMvqvu/KPPA1xzTUmSfxcll1+rkQiBXk2ss3wX8qsR2vqR3Rq5fDHR2So22oYdvJWtZ\nU8iRKceRNa5dgV3KcReVYcYik/8sjdPlNuhYXG6d0mRG6oYb2SZ5F7Bh2W7NMLkBORfPEWV7ATIh\nvKWhOLcmz35aS1SuXW7/j2w2WqnD8bgPxuXmcuvychvMba6f5kLSTuTQsEvJ5R/3Bq4gR/SsSs5j\nfnM5tuPTL5SLlBYlm7T2IJuIDiUX6f63ci6eQ4DD4rUzaHYiruHkgi+3kMuRTiSXz/wJOfRuV3Ia\nkFERsW+nYuuplNFB5AJIXyr71iI7+caS/UT3RwfO0lxug47F5dYhvngtxw/vQ7bnBdmXsAq5vu21\nEXFz68KXTieEQpETdt1IdnYfTC7S/W9JO5AXpe3dqYTQdvHUmyKnDDiO7IjfB/gAuXDOF8gO+uPI\nabGb/pwNIcd8r6JcgYvIlbUuIn9ERtT9BXW5DY7LrQFNV1WavDG9k3kM0xfYGEsupNJIM1F7bGS7\n6XXl/unkWqytONcjr2JuYtjpVpRFU8jOtA3Jju9Ptx3zxnLczZ2Ose19Xa/cViXHp59K9hW1L9a+\nQAfjcrm53DpWboP+/zQdQDfdyDHNfwe2aziOIW33TwPeW74MlwPnk2OYb6ZcSNfh2NwH43JzuXV5\nub2u/0vTATTw5s1wuBfZkbVJf8d1IMZRbfc/BRzbtn0AsDPlApxOx0lOw/1p8vL8fcnq+g/IKbo3\noixV2VQZklX3xcirQceWRH8j2fwAORrkdNqWtXS5udzmtHJ7Xf+npgPowJvWqtqtTFYxe52eoskk\n0COON5GLpuxJVkOHlw/ZHk3HVuLbsJwRXVoS1kbAxZQzuabLkukjUb5DdsxfA6xc9u1ADiqY3+Xm\ncpuTy+11/Z+aDqBDb9w2wA3kBFnH0kubY9ubO5K2KwsbincL4NvkiKMjgI+SnWjzNRyX+2Bcbi63\nLi+31/1/azqADrx544CbyCFrXyern7/gtdXOVkIYBVxJmWmxoXhbX4SRTB+KehXwErBE0+XZI1b3\nwbjcXG5dXm4ze5vjr1OQtAHwAjk51beAA8mZRRcgF5n5azluFLlo/DeiA+sh9Kf9mgjlsovzRcRN\nTcbRy2NrkAuE/LmJazja4hgVEU+V+58iq+8Hlu0DyCkQJkfEVZ2K0+U26Jhcbk1rOivN6hvTz7Q3\nALYo94eSF4y8vWx/k5x/ZK2yPZLM8h2ZPXFGMfey/3/ma5nRsTWUn/tgXG4uty4ttzpvc2RNQdL7\nyY6fT0Y565d0AnlR2lFk+/zuEXFjeWxz4ImI+FuH4mvNZbQy8BjZfPX4DI7t+BqtZQ6or5HNVkOA\nn0bErT2Oaa0MNZJMthd3MsYesWwBvJucAO2uclsP+GLk+s+disPlNrg4XG7dpOmsVEMm34j8cK1Q\ntteitEECPyZXPNq+C+Lsys5v3AfjcnO5dX251fp/bDqAWfxGbQDcAfyBvJrwWHJ9hKvJvgIoI3ho\nsDrazV+EUoZrAe8hq8XvIDvTzgPWaztuFDlMsJEmtxl9Bsr91Tv9w+Fyc7k1HdOsujU9R8gsEREh\naX2yr2B/YBdy9sTzgY+Ra6DOV459sfU3zUQLZGwfJy9s2ZqcMVHA11rTY8f0RbvPBr4aNXUyty1o\nvoGkLSLieuAf5Hz1B0Q2vz0IPE6eDVGq8L+loU75tvlwKuUzMKTcv71VXr0dOytjcLkNLgaXWxdr\nOivNqht5pjEN+FzEa2oPm5PDw97fYGxd3flNzt54R/trkWvbXsb0BUve2vbY5sDaDZRfn52R5ZhO\nrjjncnO5dXzxntr//00HMIvfzPHAncCOZXs5cnWy8e1vdkOxdeUXAffBuNxcbl1fbh39vzcdQA1v\n5tZk2+TOZXtU+bfJhNBVXwTcB+Nyc7l1fbk19v9vOoCa3tTxwO3AEk19uLr9i0Auev4ncmjd4sAv\nyXbdEeXfY5p+H9ti7ZrOSJeby62T5dbI/7/pAGp8Y0d3QQxd+0XAfTAuN5db15dbI+XRdABz8q2b\nvwglDvfBuNxcbl1ebh0vi6YDmNNv3fxFKK/vPhiXm8uty8utk7c5cpqLbiNpa7LD6nsRcUZrQq1u\nmSxL0nhyssDNycXGOx5T29QfGwA/AyYDDwNPkFMnLw5cGRFfkTRfRLzYdPm53AYds8utmzWdleaW\nG13Q+d1PfO6Dcbm53Lq83DpxmyOuaJ4dRMT5wKYR8UiUT2Q3iYjHmo4BWAjYlGyrfRTYJSKuIFff\nOpYc+tdVXG6D43LrXk4KHdQ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"text/plain": [ - "<matplotlib.figure.Figure at 0x7ffa552dcdd0>" + "<matplotlib.figure.Figure at 0x7fccb0619250>" ] }, "metadata": {}, @@ -86,14 +90,14 @@ }, { "cell_type": "code", - "execution_count": 103, + "execution_count": 58, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ - "<matplotlib.figure.Figure at 0x7ffa552e4fd0>" + "<matplotlib.figure.Figure at 0x7fccb069b310>" ] }, "metadata": {}, @@ -107,14 +111,16 @@ }, { "cell_type": "code", - "execution_count": 104, - "metadata": {}, + "execution_count": 59, + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { "image/png": 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"text/plain": [ - "<matplotlib.figure.Figure at 0x7ffa55476310>" + "<matplotlib.figure.Figure at 0x7fccb04942d0>" ] }, "metadata": {}, @@ -125,6 +131,37 @@ "memory = extract_results('node-9', 'memory')\n", "memory.show()" ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "+-----------+---------------------+\n", + "| Parameter | Info |\n", + "+-----------+---------------------+\n", + "| product | KVM |\n", + "| disk | 53.7GB (5.9% used) |\n", + "| os | Ubuntu 14.04 trusty |\n", + "| memory | 799.5/3945.4MB |\n", + "+-----------+---------------------+\n" + ] + } + ], + "source": [ + "system_info = extract_results('node-9', 'system_info')\n", + "table = PrettyTable(['Component', 'Value'])\n", + "table.align = 'l'\n", + "for key,value in system_info.iteritems():\n", + " table.add_row([key, value[0]])\n", + "print table" + ] } ], "metadata": { |