analysis.ipynb

{
 "metadata": {
  "name": "",
  "signature": "sha256:7a1397eb72707efed2aa372ff859bdc5d604c02365fa6f0ed5a50efa8fe6e4a0"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import time\n",
      "import numpy as np\n",
      "import pandas\n",
      "import batlabcache\n",
      "import matplotlib\n",
      "import matplotlib.pyplot as plt\n",
      "%matplotlib inline\n",
      "\n",
      "# some setup\n",
      "pandas.options.display.max_rows = 15\n",
      "pandas.set_option('display.mpl_style', 'default')\n",
      "now_year, now_month = time.gmtime()[:2]\n",
      "\n",
      "# cyclusci first started using batlab in July 2013\n",
      "start_year, start_month = 2013, 7\n",
      "cache = batlabcache.BatlabCache(start_year, start_month, username='cyclusci')\n",
      "cache.download_last_month()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "downloading http://submit-1.batlab.org/nmi/results/overview?user=cyclusci&date=between+2014-10-01+and+2014-11-01&sortDirection=down&storedSearch=0&sortBy=start\n",
        "...saved as /home/scopatz/cicyphean/cache/cyclusci_2014-10.html in 3e+00 s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = cache.overview(start_year, start_month, now_year, now_month)\n",
      "df"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>description</th>\n",
        "      <th>duration</th>\n",
        "      <th>id</th>\n",
        "      <th>platforms</th>\n",
        "      <th>project</th>\n",
        "      <th>result</th>\n",
        "      <th>start</th>\n",
        "      <th>type</th>\n",
        "      <th>user</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>2013-07-16 16:55:45</th>\n",
        "      <td> Builds Cyclopt\u2026</td>\n",
        "      <td>  6951</td>\n",
        "      <td> 149360</td>\n",
        "      <td> x86_64_Ubuntu12</td>\n",
        "      <td>   Cyclus</td>\n",
        "      <td>           Succeeded</td>\n",
        "      <td>2013-07-16 16:55:45</td>\n",
        "      <td> TEST</td>\n",
        "      <td> cyclusci</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2013-07-17 10:00:01</th>\n",
        "      <td> Builds Cyclopt\u2026</td>\n",
        "      <td> 10971</td>\n",
        "      <td> 149868</td>\n",
        "      <td> x86_64_Ubuntu12</td>\n",
        "      <td>   Cyclus</td>\n",
        "      <td>           Succeeded</td>\n",
        "      <td>2013-07-17 10:00:01</td>\n",
        "      <td> TEST</td>\n",
        "      <td> cyclusci</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2013-07-17 15:45:24</th>\n",
        "      <td> Builds Cyclopt\u2026</td>\n",
        "      <td>  4202</td>\n",
        "      <td> 150107</td>\n",
        "      <td> x86_64_Ubuntu12</td>\n",
        "      <td>   Cyclus</td>\n",
        "      <td> Failed one platform</td>\n",
        "      <td>2013-07-17 15:45:24</td>\n",
        "      <td> TEST</td>\n",
        "      <td> cyclusci</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2013-07-17 21:30:02</th>\n",
        "      <td> Builds Cyclopt\u2026</td>\n",
        "      <td>  2455</td>\n",
        "      <td> 150178</td>\n",
        "      <td> x86_64_Ubuntu12</td>\n",
        "      <td>   Cyclus</td>\n",
        "      <td> Failed one platform</td>\n",
        "      <td>2013-07-17 21:30:02</td>\n",
        "      <td> TEST</td>\n",
        "      <td> cyclusci</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2013-07-18 01:37:03</th>\n",
        "      <td> Builds Cyclopt\u2026</td>\n",
        "      <td>  9739</td>\n",
        "      <td> 150348</td>\n",
        "      <td> x86_64_Ubuntu12</td>\n",
        "      <td>   Cyclus</td>\n",
        "      <td>           Succeeded</td>\n",
        "      <td>2013-07-18 01:37:03</td>\n",
        "      <td> TEST</td>\n",
        "      <td> cyclusci</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2013-07-18 05:00:01</th>\n",
        "      <td> Builds Cyclopt\u2026</td>\n",
        "      <td> 10585</td>\n",
        "      <td> 150466</td>\n",
        "      <td> x86_64_Ubuntu12</td>\n",
        "      <td>   Cyclus</td>\n",
        "      <td>           Succeeded</td>\n",
        "      <td>2013-07-18 05:00:01</td>\n",
        "      <td> TEST</td>\n",
        "      <td> cyclusci</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2013-07-18 10:00:01</th>\n",
        "      <td> Builds Cyclopt\u2026</td>\n",
        "      <td>  6904</td>\n",
        "      <td> 150471</td>\n",
        "      <td> x86_64_Ubuntu12</td>\n",
        "      <td>   Cyclus</td>\n",
        "      <td>           Succeeded</td>\n",
        "      <td>2013-07-18 10:00:01</td>\n",
        "      <td> TEST</td>\n",
        "      <td> cyclusci</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2013-07-18 13:12:49</th>\n",
        "      <td> Builds Cyclopt\u2026</td>\n",
        "      <td>   289</td>\n",
        "      <td> 150535</td>\n",
        "      <td>  x86_64_MacOSX8</td>\n",
        "      <td>   Cyclus</td>\n",
        "      <td> Failed one platform</td>\n",
        "      <td>2013-07-18 13:12:49</td>\n",
        "      <td> TEST</td>\n",
        "      <td> cyclusci</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2013-07-18 13:27:07</th>\n",
        "      <td> Builds Cyclopt\u2026</td>\n",
        "      <td>  7701</td>\n",
        "      <td> 150542</td>\n",
        "      <td> x86_64_Ubuntu12</td>\n",
        "      <td>   Cyclus</td>\n",
        "      <td>           Succeeded</td>\n",
        "      <td>2013-07-18 13:27:07</td>\n",
        "      <td> TEST</td>\n",
        "      <td> cyclusci</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2013-07-18 13:27:32</th>\n",
        "      <td>            None</td>\n",
        "      <td>   605</td>\n",
        "      <td> 150543</td>\n",
        "      <td>     (0/0/0/0/0)</td>\n",
        "      <td> Cycamore</td>\n",
        "      <td>             Removed</td>\n",
        "      <td>2013-07-18 13:27:32</td>\n",
        "      <td> TEST</td>\n",
        "      <td> cyclusci</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2013-07-18 13:37:42</th>\n",
        "      <td>            None</td>\n",
        "      <td>   626</td>\n",
        "      <td> 150549</td>\n",
        "      <td>  x86_64_MacOSX8</td>\n",
        "      <td> Cycamore</td>\n",
        "      <td> Failed one platform</td>\n",
        "      <td>2013-07-18 13:37:42</td>\n",
        "      <td> TEST</td>\n",
        "      <td> cyclusci</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2013-07-18 13:55:51</th>\n",
        "      <td> Builds Cyclopt\u2026</td>\n",
        "      <td>  7524</td>\n",
        "      <td> 150568</td>\n",
        "      <td> x86_64_Ubuntu12</td>\n",
        "      <td>   Cyclus</td>\n",
        "      <td>           Succeeded</td>\n",
        "      <td>2013-07-18 13:55:51</td>\n",
        "      <td> TEST</td>\n",
        "      <td> cyclusci</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2013-07-18 14:01:46</th>\n",
        "      <td>            None</td>\n",
        "      <td>   702</td>\n",
        "      <td> 150576</td>\n",
        "      <td>  x86_64_MacOSX8</td>\n",
        "      <td> Cycamore</td>\n",
        "      <td> Failed one platform</td>\n",
        "      <td>2013-07-18 14:01:46</td>\n",
        "      <td> TEST</td>\n",
        "      <td> cyclusci</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2013-07-18 14:22:21</th>\n",
        "      <td>            None</td>\n",
        "      <td>  1433</td>\n",
        "      <td> 150591</td>\n",
        "      <td>  x86_64_MacOSX8</td>\n",
        "      <td> Cycamore</td>\n",
        "      <td> Failed one platform</td>\n",
        "      <td>2013-07-18 14:22:21</td>\n",
        "      <td> TEST</td>\n",
        "      <td> cyclusci</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2013-07-18 14:59:40</th>\n",
        "      <td>            None</td>\n",
        "      <td>   652</td>\n",
        "      <td> 150611</td>\n",
        "      <td>  x86_64_MacOSX8</td>\n",
        "      <td> Cycamore</td>\n",
        "      <td> Failed one platform</td>\n",
        "      <td>2013-07-18 14:59:40</td>\n",
        "      <td> TEST</td>\n",
        "      <td> cyclusci</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th></th>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>2874 rows \u00d7 9 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 2,
       "text": [
        "                         description  duration      id        platforms  \\\n",
        "2013-07-16 16:55:45  Builds Cyclopt\u2026      6951  149360  x86_64_Ubuntu12   \n",
        "2013-07-17 10:00:01  Builds Cyclopt\u2026     10971  149868  x86_64_Ubuntu12   \n",
        "2013-07-17 15:45:24  Builds Cyclopt\u2026      4202  150107  x86_64_Ubuntu12   \n",
        "2013-07-17 21:30:02  Builds Cyclopt\u2026      2455  150178  x86_64_Ubuntu12   \n",
        "2013-07-18 01:37:03  Builds Cyclopt\u2026      9739  150348  x86_64_Ubuntu12   \n",
        "2013-07-18 05:00:01  Builds Cyclopt\u2026     10585  150466  x86_64_Ubuntu12   \n",
        "2013-07-18 10:00:01  Builds Cyclopt\u2026      6904  150471  x86_64_Ubuntu12   \n",
        "2013-07-18 13:12:49  Builds Cyclopt\u2026       289  150535   x86_64_MacOSX8   \n",
        "2013-07-18 13:27:07  Builds Cyclopt\u2026      7701  150542  x86_64_Ubuntu12   \n",
        "2013-07-18 13:27:32             None       605  150543      (0/0/0/0/0)   \n",
        "2013-07-18 13:37:42             None       626  150549   x86_64_MacOSX8   \n",
        "2013-07-18 13:55:51  Builds Cyclopt\u2026      7524  150568  x86_64_Ubuntu12   \n",
        "2013-07-18 14:01:46             None       702  150576   x86_64_MacOSX8   \n",
        "2013-07-18 14:22:21             None      1433  150591   x86_64_MacOSX8   \n",
        "2013-07-18 14:59:40             None       652  150611   x86_64_MacOSX8   \n",
        "                                 ...       ...     ...              ...   \n",
        "\n",
        "                      project               result               start  type  \\\n",
        "2013-07-16 16:55:45    Cyclus            Succeeded 2013-07-16 16:55:45  TEST   \n",
        "2013-07-17 10:00:01    Cyclus            Succeeded 2013-07-17 10:00:01  TEST   \n",
        "2013-07-17 15:45:24    Cyclus  Failed one platform 2013-07-17 15:45:24  TEST   \n",
        "2013-07-17 21:30:02    Cyclus  Failed one platform 2013-07-17 21:30:02  TEST   \n",
        "2013-07-18 01:37:03    Cyclus            Succeeded 2013-07-18 01:37:03  TEST   \n",
        "2013-07-18 05:00:01    Cyclus            Succeeded 2013-07-18 05:00:01  TEST   \n",
        "2013-07-18 10:00:01    Cyclus            Succeeded 2013-07-18 10:00:01  TEST   \n",
        "2013-07-18 13:12:49    Cyclus  Failed one platform 2013-07-18 13:12:49  TEST   \n",
        "2013-07-18 13:27:07    Cyclus            Succeeded 2013-07-18 13:27:07  TEST   \n",
        "2013-07-18 13:27:32  Cycamore              Removed 2013-07-18 13:27:32  TEST   \n",
        "2013-07-18 13:37:42  Cycamore  Failed one platform 2013-07-18 13:37:42  TEST   \n",
        "2013-07-18 13:55:51    Cyclus            Succeeded 2013-07-18 13:55:51  TEST   \n",
        "2013-07-18 14:01:46  Cycamore  Failed one platform 2013-07-18 14:01:46  TEST   \n",
        "2013-07-18 14:22:21  Cycamore  Failed one platform 2013-07-18 14:22:21  TEST   \n",
        "2013-07-18 14:59:40  Cycamore  Failed one platform 2013-07-18 14:59:40  TEST   \n",
        "                          ...                  ...                 ...   ...   \n",
        "\n",
        "                         user  \n",
        "2013-07-16 16:55:45  cyclusci  \n",
        "2013-07-17 10:00:01  cyclusci  \n",
        "2013-07-17 15:45:24  cyclusci  \n",
        "2013-07-17 21:30:02  cyclusci  \n",
        "2013-07-18 01:37:03  cyclusci  \n",
        "2013-07-18 05:00:01  cyclusci  \n",
        "2013-07-18 10:00:01  cyclusci  \n",
        "2013-07-18 13:12:49  cyclusci  \n",
        "2013-07-18 13:27:07  cyclusci  \n",
        "2013-07-18 13:27:32  cyclusci  \n",
        "2013-07-18 13:37:42  cyclusci  \n",
        "2013-07-18 13:55:51  cyclusci  \n",
        "2013-07-18 14:01:46  cyclusci  \n",
        "2013-07-18 14:22:21  cyclusci  \n",
        "2013-07-18 14:59:40  cyclusci  \n",
        "                          ...  \n",
        "\n",
        "[2874 rows x 9 columns]"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Total wall-clock time of all jobs"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# durration is in seconds\n",
      "dur = df['duration'].sum()\n",
      "print(\"{0:.2f} hrs\".format(dur/3600.0))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "5962.22 hrs\n"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Job counts by success or failure"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df.result.value_counts()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 4,
       "text": [
        "Succeeded              1599\n",
        "Failed one platform     485\n",
        "Failed 2 platforms      460\n",
        "Removed                 326\n",
        "Failed 3 platforms        4\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ax = (df.duration/3600.0).plot(figsize=(15, 6))\n",
      "ax.set_ylabel(\"Duration [hrs]\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 5,
       "text": [
        "<matplotlib.text.Text at 0x7f719e20b908>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAA3cAAAFmCAYAAADOJmMBAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAoFAIBAIBNcB/xf6tTBa7EXPDgAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7f71c0be62e8>"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "monthly = df.groupby([df.index.year, df.index.month]).transform(np.sum)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ax = (monthly.duration/3600.0).plot(figsize=(15, 6))\n",
      "ax.set_ylabel(\"Duration [hrs]\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "<matplotlib.text.Text at 0x7f719e1ab358>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAA30AAAFmCAYAAADZBPPIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7f719e16e588>"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}