pyNrNotebook-Win7vs10vsUpgradeTime.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# R and Python Analytics via Jupyter, Reticulate, and BigFix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-10T18:32:23.893519Z",
     "start_time": "2018-08-10T18:32:23.822Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<ol class=list-inline>\n",
       "\t<li>'add.py'</li>\n",
       "\t<li>'baseline_template.bes'</li>\n",
       "\t<li>'baselineActionReport.bes'</li>\n",
       "\t<li>'bfClientSetting'</li>\n",
       "\t<li>'BFcredentials.json'</li>\n",
       "\t<li>'completedBaseline.bes'</li>\n",
       "\t<li>'configNquery'</li>\n",
       "\t<li>'configNquery.ipynb'</li>\n",
       "\t<li>'configNquery.py'</li>\n",
       "\t<li>'createComputerGroup.py'</li>\n",
       "\t<li>'createComputerGroup2.py'</li>\n",
       "\t<li>'credentials.json'</li>\n",
       "\t<li>'cycleGather.py'</li>\n",
       "\t<li>'cycleGather.xml'</li>\n",
       "\t<li>'doc'</li>\n",
       "\t<li>'executeActionList4IEM.py'</li>\n",
       "\t<li>'file.xml'</li>\n",
       "\t<li>'fixedFixlets.txt'</li>\n",
       "\t<li>'getAssetsNCheckinTime.py'</li>\n",
       "\t<li>'getFixlets2DictUrllib3.py'</li>\n",
       "\t<li>'getFixletsRest.py'</li>\n",
       "\t<li>'getFixletsRest2File.py'</li>\n",
       "\t<li>'getFixletsRest2File2.py'</li>\n",
       "\t<li>'getFixletsRestAdonix.py'</li>\n",
       "\t<li>'getFixletsRestAdonixUrllib.py'</li>\n",
       "\t<li>'getFixletsRestGrass.py'</li>\n",
       "\t<li>'Grasskeet-CriticalVulns-baseline.bes'</li>\n",
       "\t<li>'importTweedleDeeFixlet.py'</li>\n",
       "\t<li>'importTweedleDeeFixlet3.py'</li>\n",
       "\t<li>'invokeBesProvisioning.xml'</li>\n",
       "\t<li>'InvokeFixletRestViaPython.docx'</li>\n",
       "\t<li>'InvokeFixletRestViaPython.pdf'</li>\n",
       "\t<li>'InvokeFixletRestViaPython2.pdf'</li>\n",
       "\t<li>'Jamf'</li>\n",
       "\t<li>'Li3000.txt'</li>\n",
       "\t<li>'MasterSite_FixletA.bes'</li>\n",
       "\t<li>'MasterSite_FixletB.bes'</li>\n",
       "\t<li>'MS11-092_ Vulnerability in Windows Media Could Allow Remote Code Execution - Windows 7 Gold_SP1 (x64).bes'</li>\n",
       "\t<li>'multiActionRestRequest.txt'</li>\n",
       "\t<li>'namesXML.txt'</li>\n",
       "\t<li>'nHTTP.rb'</li>\n",
       "\t<li>'old_configNquery'</li>\n",
       "\t<li>'origTemRest.py'</li>\n",
       "\t<li>'OtherImportedLibraryStuff'</li>\n",
       "\t<li>'postExample.txt'</li>\n",
       "\t<li>'protoComputerGroup.xml'</li>\n",
       "\t<li>'raw_group.txt'</li>\n",
       "\t<li>'readFile2String.py'</li>\n",
       "\t<li>'readFixletsIntoDictFormatNdisplay.py'</li>\n",
       "\t<li>'README.md'</li>\n",
       "\t<li>'restSnippet.py'</li>\n",
       "\t<li>'rIEMifViaRest.py'</li>\n",
       "\t<li>'sampleComputerGroup.bes'</li>\n",
       "\t<li>'sampleComputerGroup.xml'</li>\n",
       "\t<li>'SCAexamples'</li>\n",
       "\t<li>'ServerAutomationExamples'</li>\n",
       "\t<li>'SpybotTasks.bes'</li>\n",
       "\t<li>'SpybotTasks.xml'</li>\n",
       "\t<li>'startBesGather.xml'</li>\n",
       "\t<li>'Stop &amp; Start BESGather.bes'</li>\n",
       "\t<li>'Stop BesGather service.bes'</li>\n",
       "\t<li>'stopBesGather.txt'</li>\n",
       "\t<li>'stopBesGather.xml'</li>\n",
       "\t<li>'stopGather.py'</li>\n",
       "\t<li>'SUA-InventoryExamples'</li>\n",
       "\t<li>'target_computer_group.txt'</li>\n",
       "\t<li>'temPostActionViaRest.py'</li>\n",
       "\t<li>'temPostInvokeProvisioning.py'</li>\n",
       "\t<li>'temPostInvokeProvisioning2.py'</li>\n",
       "\t<li>'testPostGroup.xml'</li>\n",
       "\t<li>'testPostParameter.py'</li>\n",
       "\t<li>'testPostParameter.xml'</li>\n",
       "\t<li>'tokenFile.txt'</li>\n",
       "\t<li>'TweedleDee.bes'</li>\n",
       "\t<li>'Untitled.ipynb'</li>\n",
       "\t<li>'vulnmine'</li>\n",
       "</ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 'add.py'\n",
       "\\item 'baseline\\_template.bes'\n",
       "\\item 'baselineActionReport.bes'\n",
       "\\item 'bfClientSetting'\n",
       "\\item 'BFcredentials.json'\n",
       "\\item 'completedBaseline.bes'\n",
       "\\item 'configNquery'\n",
       "\\item 'configNquery.ipynb'\n",
       "\\item 'configNquery.py'\n",
       "\\item 'createComputerGroup.py'\n",
       "\\item 'createComputerGroup2.py'\n",
       "\\item 'credentials.json'\n",
       "\\item 'cycleGather.py'\n",
       "\\item 'cycleGather.xml'\n",
       "\\item 'doc'\n",
       "\\item 'executeActionList4IEM.py'\n",
       "\\item 'file.xml'\n",
       "\\item 'fixedFixlets.txt'\n",
       "\\item 'getAssetsNCheckinTime.py'\n",
       "\\item 'getFixlets2DictUrllib3.py'\n",
       "\\item 'getFixletsRest.py'\n",
       "\\item 'getFixletsRest2File.py'\n",
       "\\item 'getFixletsRest2File2.py'\n",
       "\\item 'getFixletsRestAdonix.py'\n",
       "\\item 'getFixletsRestAdonixUrllib.py'\n",
       "\\item 'getFixletsRestGrass.py'\n",
       "\\item 'Grasskeet-CriticalVulns-baseline.bes'\n",
       "\\item 'importTweedleDeeFixlet.py'\n",
       "\\item 'importTweedleDeeFixlet3.py'\n",
       "\\item 'invokeBesProvisioning.xml'\n",
       "\\item 'InvokeFixletRestViaPython.docx'\n",
       "\\item 'InvokeFixletRestViaPython.pdf'\n",
       "\\item 'InvokeFixletRestViaPython2.pdf'\n",
       "\\item 'Jamf'\n",
       "\\item 'Li3000.txt'\n",
       "\\item 'MasterSite\\_FixletA.bes'\n",
       "\\item 'MasterSite\\_FixletB.bes'\n",
       "\\item 'MS11-092\\_ Vulnerability in Windows Media Could Allow Remote Code Execution - Windows 7 Gold\\_SP1 (x64).bes'\n",
       "\\item 'multiActionRestRequest.txt'\n",
       "\\item 'namesXML.txt'\n",
       "\\item 'nHTTP.rb'\n",
       "\\item 'old\\_configNquery'\n",
       "\\item 'origTemRest.py'\n",
       "\\item 'OtherImportedLibraryStuff'\n",
       "\\item 'postExample.txt'\n",
       "\\item 'protoComputerGroup.xml'\n",
       "\\item 'raw\\_group.txt'\n",
       "\\item 'readFile2String.py'\n",
       "\\item 'readFixletsIntoDictFormatNdisplay.py'\n",
       "\\item 'README.md'\n",
       "\\item 'restSnippet.py'\n",
       "\\item 'rIEMifViaRest.py'\n",
       "\\item 'sampleComputerGroup.bes'\n",
       "\\item 'sampleComputerGroup.xml'\n",
       "\\item 'SCAexamples'\n",
       "\\item 'ServerAutomationExamples'\n",
       "\\item 'SpybotTasks.bes'\n",
       "\\item 'SpybotTasks.xml'\n",
       "\\item 'startBesGather.xml'\n",
       "\\item 'Stop \\& Start BESGather.bes'\n",
       "\\item 'Stop BesGather service.bes'\n",
       "\\item 'stopBesGather.txt'\n",
       "\\item 'stopBesGather.xml'\n",
       "\\item 'stopGather.py'\n",
       "\\item 'SUA-InventoryExamples'\n",
       "\\item 'target\\_computer\\_group.txt'\n",
       "\\item 'temPostActionViaRest.py'\n",
       "\\item 'temPostInvokeProvisioning.py'\n",
       "\\item 'temPostInvokeProvisioning2.py'\n",
       "\\item 'testPostGroup.xml'\n",
       "\\item 'testPostParameter.py'\n",
       "\\item 'testPostParameter.xml'\n",
       "\\item 'tokenFile.txt'\n",
       "\\item 'TweedleDee.bes'\n",
       "\\item 'Untitled.ipynb'\n",
       "\\item 'vulnmine'\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 'add.py'\n",
       "2. 'baseline_template.bes'\n",
       "3. 'baselineActionReport.bes'\n",
       "4. 'bfClientSetting'\n",
       "5. 'BFcredentials.json'\n",
       "6. 'completedBaseline.bes'\n",
       "7. 'configNquery'\n",
       "8. 'configNquery.ipynb'\n",
       "9. 'configNquery.py'\n",
       "10. 'createComputerGroup.py'\n",
       "11. 'createComputerGroup2.py'\n",
       "12. 'credentials.json'\n",
       "13. 'cycleGather.py'\n",
       "14. 'cycleGather.xml'\n",
       "15. 'doc'\n",
       "16. 'executeActionList4IEM.py'\n",
       "17. 'file.xml'\n",
       "18. 'fixedFixlets.txt'\n",
       "19. 'getAssetsNCheckinTime.py'\n",
       "20. 'getFixlets2DictUrllib3.py'\n",
       "21. 'getFixletsRest.py'\n",
       "22. 'getFixletsRest2File.py'\n",
       "23. 'getFixletsRest2File2.py'\n",
       "24. 'getFixletsRestAdonix.py'\n",
       "25. 'getFixletsRestAdonixUrllib.py'\n",
       "26. 'getFixletsRestGrass.py'\n",
       "27. 'Grasskeet-CriticalVulns-baseline.bes'\n",
       "28. 'importTweedleDeeFixlet.py'\n",
       "29. 'importTweedleDeeFixlet3.py'\n",
       "30. 'invokeBesProvisioning.xml'\n",
       "31. 'InvokeFixletRestViaPython.docx'\n",
       "32. 'InvokeFixletRestViaPython.pdf'\n",
       "33. 'InvokeFixletRestViaPython2.pdf'\n",
       "34. 'Jamf'\n",
       "35. 'Li3000.txt'\n",
       "36. 'MasterSite_FixletA.bes'\n",
       "37. 'MasterSite_FixletB.bes'\n",
       "38. 'MS11-092_ Vulnerability in Windows Media Could Allow Remote Code Execution - Windows 7 Gold_SP1 (x64).bes'\n",
       "39. 'multiActionRestRequest.txt'\n",
       "40. 'namesXML.txt'\n",
       "41. 'nHTTP.rb'\n",
       "42. 'old_configNquery'\n",
       "43. 'origTemRest.py'\n",
       "44. 'OtherImportedLibraryStuff'\n",
       "45. 'postExample.txt'\n",
       "46. 'protoComputerGroup.xml'\n",
       "47. 'raw_group.txt'\n",
       "48. 'readFile2String.py'\n",
       "49. 'readFixletsIntoDictFormatNdisplay.py'\n",
       "50. 'README.md'\n",
       "51. 'restSnippet.py'\n",
       "52. 'rIEMifViaRest.py'\n",
       "53. 'sampleComputerGroup.bes'\n",
       "54. 'sampleComputerGroup.xml'\n",
       "55. 'SCAexamples'\n",
       "56. 'ServerAutomationExamples'\n",
       "57. 'SpybotTasks.bes'\n",
       "58. 'SpybotTasks.xml'\n",
       "59. 'startBesGather.xml'\n",
       "60. 'Stop &amp; Start BESGather.bes'\n",
       "61. 'Stop BesGather service.bes'\n",
       "62. 'stopBesGather.txt'\n",
       "63. 'stopBesGather.xml'\n",
       "64. 'stopGather.py'\n",
       "65. 'SUA-InventoryExamples'\n",
       "66. 'target_computer_group.txt'\n",
       "67. 'temPostActionViaRest.py'\n",
       "68. 'temPostInvokeProvisioning.py'\n",
       "69. 'temPostInvokeProvisioning2.py'\n",
       "70. 'testPostGroup.xml'\n",
       "71. 'testPostParameter.py'\n",
       "72. 'testPostParameter.xml'\n",
       "73. 'tokenFile.txt'\n",
       "74. 'TweedleDee.bes'\n",
       "75. 'Untitled.ipynb'\n",
       "76. 'vulnmine'\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       " [1] \"add.py\"                                                                                                   \n",
       " [2] \"baseline_template.bes\"                                                                                    \n",
       " [3] \"baselineActionReport.bes\"                                                                                 \n",
       " [4] \"bfClientSetting\"                                                                                          \n",
       " [5] \"BFcredentials.json\"                                                                                       \n",
       " [6] \"completedBaseline.bes\"                                                                                    \n",
       " [7] \"configNquery\"                                                                                             \n",
       " [8] \"configNquery.ipynb\"                                                                                       \n",
       " [9] \"configNquery.py\"                                                                                          \n",
       "[10] \"createComputerGroup.py\"                                                                                   \n",
       "[11] \"createComputerGroup2.py\"                                                                                  \n",
       "[12] \"credentials.json\"                                                                                         \n",
       "[13] \"cycleGather.py\"                                                                                           \n",
       "[14] \"cycleGather.xml\"                                                                                          \n",
       "[15] \"doc\"                                                                                                      \n",
       "[16] \"executeActionList4IEM.py\"                                                                                 \n",
       "[17] \"file.xml\"                                                                                                 \n",
       "[18] \"fixedFixlets.txt\"                                                                                         \n",
       "[19] \"getAssetsNCheckinTime.py\"                                                                                 \n",
       "[20] \"getFixlets2DictUrllib3.py\"                                                                                \n",
       "[21] \"getFixletsRest.py\"                                                                                        \n",
       "[22] \"getFixletsRest2File.py\"                                                                                   \n",
       "[23] \"getFixletsRest2File2.py\"                                                                                  \n",
       "[24] \"getFixletsRestAdonix.py\"                                                                                  \n",
       "[25] \"getFixletsRestAdonixUrllib.py\"                                                                            \n",
       "[26] \"getFixletsRestGrass.py\"                                                                                   \n",
       "[27] \"Grasskeet-CriticalVulns-baseline.bes\"                                                                     \n",
       "[28] \"importTweedleDeeFixlet.py\"                                                                                \n",
       "[29] \"importTweedleDeeFixlet3.py\"                                                                               \n",
       "[30] \"invokeBesProvisioning.xml\"                                                                                \n",
       "[31] \"InvokeFixletRestViaPython.docx\"                                                                           \n",
       "[32] \"InvokeFixletRestViaPython.pdf\"                                                                            \n",
       "[33] \"InvokeFixletRestViaPython2.pdf\"                                                                           \n",
       "[34] \"Jamf\"                                                                                                     \n",
       "[35] \"Li3000.txt\"                                                                                               \n",
       "[36] \"MasterSite_FixletA.bes\"                                                                                   \n",
       "[37] \"MasterSite_FixletB.bes\"                                                                                   \n",
       "[38] \"MS11-092_ Vulnerability in Windows Media Could Allow Remote Code Execution - Windows 7 Gold_SP1 (x64).bes\"\n",
       "[39] \"multiActionRestRequest.txt\"                                                                               \n",
       "[40] \"namesXML.txt\"                                                                                             \n",
       "[41] \"nHTTP.rb\"                                                                                                 \n",
       "[42] \"old_configNquery\"                                                                                         \n",
       "[43] \"origTemRest.py\"                                                                                           \n",
       "[44] \"OtherImportedLibraryStuff\"                                                                                \n",
       "[45] \"postExample.txt\"                                                                                          \n",
       "[46] \"protoComputerGroup.xml\"                                                                                   \n",
       "[47] \"raw_group.txt\"                                                                                            \n",
       "[48] \"readFile2String.py\"                                                                                       \n",
       "[49] \"readFixletsIntoDictFormatNdisplay.py\"                                                                     \n",
       "[50] \"README.md\"                                                                                                \n",
       "[51] \"restSnippet.py\"                                                                                           \n",
       "[52] \"rIEMifViaRest.py\"                                                                                         \n",
       "[53] \"sampleComputerGroup.bes\"                                                                                  \n",
       "[54] \"sampleComputerGroup.xml\"                                                                                  \n",
       "[55] \"SCAexamples\"                                                                                              \n",
       "[56] \"ServerAutomationExamples\"                                                                                 \n",
       "[57] \"SpybotTasks.bes\"                                                                                          \n",
       "[58] \"SpybotTasks.xml\"                                                                                          \n",
       "[59] \"startBesGather.xml\"                                                                                       \n",
       "[60] \"Stop & Start BESGather.bes\"                                                                               \n",
       "[61] \"Stop BesGather service.bes\"                                                                               \n",
       "[62] \"stopBesGather.txt\"                                                                                        \n",
       "[63] \"stopBesGather.xml\"                                                                                        \n",
       "[64] \"stopGather.py\"                                                                                            \n",
       "[65] \"SUA-InventoryExamples\"                                                                                    \n",
       "[66] \"target_computer_group.txt\"                                                                                \n",
       "[67] \"temPostActionViaRest.py\"                                                                                  \n",
       "[68] \"temPostInvokeProvisioning.py\"                                                                             \n",
       "[69] \"temPostInvokeProvisioning2.py\"                                                                            \n",
       "[70] \"testPostGroup.xml\"                                                                                        \n",
       "[71] \"testPostParameter.py\"                                                                                     \n",
       "[72] \"testPostParameter.xml\"                                                                                    \n",
       "[73] \"tokenFile.txt\"                                                                                            \n",
       "[74] \"TweedleDee.bes\"                                                                                           \n",
       "[75] \"Untitled.ipynb\"                                                                                           \n",
       "[76] \"vulnmine\"                                                                                                 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# First Look for BFcredentials.json in the parent directory listing\n",
    "setwd('~/dev/py/bfReSTexamplesInstructions/configNquery/')\n",
    "list.files('..')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**install/instantiate Reticulate library using install.packages('reticulate') and library('reticulate'), then 'pull in' rdConfigNqueryBF.py**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-10T18:32:27.268800Z",
     "start_time": "2018-08-10T18:32:27.083Z"
    }
   },
   "outputs": [],
   "source": [
    "# install.packages('reticulate')\n",
    "library(\"reticulate\")\n",
    "source_python(\"rcqLambdas.py\")\n",
    "source_python(\"rdConfigNqueryBF.py\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** OK, Let's read the credential.json file so we can use the configuration in subsequent calls **"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-10T18:37:49.449180Z",
     "start_time": "2018-08-10T18:37:49.414Z"
    }
   },
   "outputs": [],
   "source": [
    "rCfg<-\"../credentials.json\"\n",
    "myCfg<-readConfig(rCfg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**As a 'confidence-test', get a particular set of computer names and include their last 'checkin time'**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-10T18:44:36.750992Z",
     "start_time": "2018-08-10T18:44:35.879Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>Endpoint Name</th><th scope=col>Last Checkin Time</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>ADHAYGAP21                     </td><td>Fri, 10 Aug 2018 11:42:30 -0700</td></tr>\n",
       "\t<tr><td>ADHAYVCR01                     </td><td>Fri, 10 Aug 2018 11:44:35 -0700</td></tr>\n",
       "\t<tr><td>ADHAYFDB01                     </td><td>Fri, 10 Aug 2018 10:59:38 -0700</td></tr>\n",
       "\t<tr><td>ADHAYGAP16                     </td><td>Fri, 10 Aug 2018 11:37:29 -0700</td></tr>\n",
       "\t<tr><td>ADHAYWEB08                     </td><td>Fri, 10 Aug 2018 11:44:32 -0700</td></tr>\n",
       "\t<tr><td>ADHAYFIM01                     </td><td>Fri, 10 Aug 2018 11:17:05 -0700</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ll}\n",
       " Endpoint Name & Last Checkin Time\\\\\n",
       "\\hline\n",
       "\t ADHAYGAP21                      & Fri, 10 Aug 2018 11:42:30 -0700\\\\\n",
       "\t ADHAYVCR01                      & Fri, 10 Aug 2018 11:44:35 -0700\\\\\n",
       "\t ADHAYFDB01                      & Fri, 10 Aug 2018 10:59:38 -0700\\\\\n",
       "\t ADHAYGAP16                      & Fri, 10 Aug 2018 11:37:29 -0700\\\\\n",
       "\t ADHAYWEB08                      & Fri, 10 Aug 2018 11:44:32 -0700\\\\\n",
       "\t ADHAYFIM01                      & Fri, 10 Aug 2018 11:17:05 -0700\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "Endpoint Name | Last Checkin Time | \n",
       "|---|---|---|---|---|---|\n",
       "| ADHAYGAP21                      | Fri, 10 Aug 2018 11:42:30 -0700 | \n",
       "| ADHAYVCR01                      | Fri, 10 Aug 2018 11:44:35 -0700 | \n",
       "| ADHAYFDB01                      | Fri, 10 Aug 2018 10:59:38 -0700 | \n",
       "| ADHAYGAP16                      | Fri, 10 Aug 2018 11:37:29 -0700 | \n",
       "| ADHAYWEB08                      | Fri, 10 Aug 2018 11:44:32 -0700 | \n",
       "| ADHAYFIM01                      | Fri, 10 Aug 2018 11:17:05 -0700 | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  Endpoint Name Last Checkin Time              \n",
       "1 ADHAYGAP21    Fri, 10 Aug 2018 11:42:30 -0700\n",
       "2 ADHAYVCR01    Fri, 10 Aug 2018 11:44:35 -0700\n",
       "3 ADHAYFDB01    Fri, 10 Aug 2018 10:59:38 -0700\n",
       "4 ADHAYGAP16    Fri, 10 Aug 2018 11:37:29 -0700\n",
       "5 ADHAYWEB08    Fri, 10 Aug 2018 11:44:32 -0700\n",
       "6 ADHAYFIM01    Fri, 10 Aug 2018 11:17:05 -0700"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "'data.frame':\t143 obs. of  2 variables:\n",
      " $ Endpoint Name    : chr  \"ADHAYGAP21\" \"ADHAYVCR01\" \"ADHAYFDB01\" \"ADHAYGAP16\" ...\n",
      " $ Last Checkin Time: chr  \"Fri, 10 Aug 2018 11:42:30 -0700\" \"Fri, 10 Aug 2018 11:44:35 -0700\" \"Fri, 10 Aug 2018 10:59:38 -0700\" \"Fri, 10 Aug 2018 11:37:29 -0700\" ...\n",
      " - attr(*, \"pandas.index\")=RangeIndex(start=0, stop=143, step=1)\n"
     ]
    }
   ],
   "source": [
    "# Create a 'relevance string and query the BigFix server \n",
    "# We're looking for all endpoints containing \"ADHAY\" in the name and their last checkin time\n",
    "# (notice encoding of double-quote and ampersand characters)\n",
    "newRelevance<-\"(name of it %26 %22%3e%22 %26 (last report time of it) as string) of bes computers whose (name of it as lowercase contains %22adhay%22)\"\n",
    "xmlResult<-queryBFviaRelevance(myCfg,newRelevance)\n",
    "\n",
    "# Using the second lambda function we defined for parsing bes computers, \n",
    "# return a dataframe of tuples split by \">\"\n",
    "df0<-computersLf2(xmlResult)\n",
    "\n",
    "# Now clean up the data & rename the columns appropriately, displaying a sample\n",
    "names(df0)<-c(\"Endpoint Name\",\"Last Checkin Time\")\n",
    "head(df0)\n",
    "\n",
    "# Let's see how many tuples we have...\n",
    "str(df0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Finally, let's get the Active Directory information, displayed in a table**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-10T19:08:31.155958Z",
     "start_time": "2018-08-10T19:08:28.956Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>Endpoint Name</th><th scope=col>(Login Disk</th><th scope=col>AD User</th><th scope=col>Login Time)...</th><th scope=col>NA</th><th scope=col>NA</th><th scope=col>NA</th><th scope=col>NA</th><th scope=col>NA</th><th scope=col>NA</th><th scope=col>NA</th><th scope=col>NA</th><th scope=col>NA</th><th scope=col>NA</th><th scope=col>NA</th><th scope=col>NA</th><th scope=col>NA</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>ADHAYGAP21                    </td><td>C                             </td><td> admin_csuhad                 </td><td> ( Fri                        </td><td> 10 Aug 2018 11:25:02 -0700 ) </td><td> H:                           </td><td> ag7287                       </td><td> ( Fri                        </td><td> 10 Aug 2018 10:34:23 -0700 ) </td><td> C                            </td><td> rk6682                       </td><td> ( Fri                        </td><td> 10 Aug 2018 10:19:29 -0700 ) </td><td>NULL                          </td><td>NULL                          </td><td>NULL                          </td><td>NULL                          </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lllllllllllllllll}\n",
       " Endpoint Name & (Login Disk & AD User & Login Time)... & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
       "\\hline\n",
       "\t ADHAYGAP21                     & C                              &  admin\\_csuhad                &  ( Fri                         &  10 Aug 2018 11:25:02 -0700 )  &  H:                            &  ag7287                        &  ( Fri                         &  10 Aug 2018 10:34:23 -0700 )  &  C                             &  rk6682                        &  ( Fri                         &  10 Aug 2018 10:19:29 -0700 )  & NULL                           & NULL                           & NULL                           & NULL                          \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "Endpoint Name | (Login Disk | AD User | Login Time)... | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | \n",
       "|---|\n",
       "| ADHAYGAP21                     | C                              |  admin_csuhad                  |  ( Fri                         |  10 Aug 2018 11:25:02 -0700 )  |  H:                            |  ag7287                        |  ( Fri                         |  10 Aug 2018 10:34:23 -0700 )  |  C                             |  rk6682                        |  ( Fri                         |  10 Aug 2018 10:19:29 -0700 )  | NULL                           | NULL                           | NULL                           | NULL                           | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  Endpoint Name (Login Disk AD User       Login Time)...\n",
       "1 ADHAYGAP21    C            admin_csuhad  ( Fri        \n",
       "  <NA>                           <NA> <NA>    <NA>  \n",
       "1  10 Aug 2018 11:25:02 -0700 )   H:   ag7287  ( Fri\n",
       "  <NA>                           <NA> <NA>    <NA>  \n",
       "1  10 Aug 2018 10:34:23 -0700 )   C    rk6682  ( Fri\n",
       "  <NA>                          <NA> <NA> <NA> <NA>\n",
       "1  10 Aug 2018 10:19:29 -0700 ) NULL NULL NULL NULL"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<ol>\n",
       "\t<li>' 10 Aug 2018 11:25:02 -0700 ) '</li>\n",
       "</ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate}\n",
       "\\item ' 10 Aug 2018 11:25:02 -0700 ) '\n",
       "\\end{enumerate}\n"
      ],
      "text/markdown": [
       "1. ' 10 Aug 2018 11:25:02 -0700 ) '\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[[1]]\n",
       "[1] \" 10 Aug 2018 11:25:02 -0700 ) \"\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>Endpoint Name</th><th scope=col>(Login Disk</th><th scope=col>AD User</th><th scope=col>Login Time)...</th><th scope=col>NA</th><th scope=col>NA</th><th scope=col>NA</th><th scope=col>NA</th><th scope=col>NA</th><th scope=col>NA</th><th scope=col>NA</th><th scope=col>NA</th><th scope=col>NA</th><th scope=col>NA</th><th scope=col>NA</th><th scope=col>NA</th><th scope=col>NA</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>ADHAYGAP21                    </td><td>C                             </td><td> admin_csuhad                 </td><td> ( Fri                        </td><td> 10 Aug 2018 11:25:02 -0700 ) </td><td> H:                           </td><td> ag7287                       </td><td> ( Fri                        </td><td> 10 Aug 2018 10:34:23 -0700 ) </td><td> C                            </td><td> rk6682                       </td><td> ( Fri                        </td><td> 10 Aug 2018 10:19:29 -0700 ) </td><td>NULL                          </td><td>NULL                          </td><td>NULL                          </td><td>NULL                          </td></tr>\n",
       "\t<tr><td>ADHAYVCR01                   </td><td>C:                           </td><td> cm8758                      </td><td> ( Fri                       </td><td> 10 Aug 2018 11:56:23 -0700 )</td><td>NULL                         </td><td>NULL                         </td><td>NULL                         </td><td>NULL                         </td><td>NULL                         </td><td>NULL                         </td><td>NULL                         </td><td>NULL                         </td><td>NULL                         </td><td>NULL                         </td><td>NULL                         </td><td>NULL                         </td></tr>\n",
       "\t<tr><td>ADHAYFDB01                    </td><td>C                             </td><td> rk6682                       </td><td> ( Fri                        </td><td> 10 Aug 2018 10:19:29 -0700 ) </td><td> C                            </td><td> cm8758                       </td><td> ( Fri                        </td><td> 10 Aug 2018 11:56:23 -0700 ) </td><td> C                            </td><td> ge4357                       </td><td> ( Wed                        </td><td> 13 Jun 2018 05:34:09 -0700 ) </td><td> H:                           </td><td> wx6242                       </td><td> ( Fri                        </td><td> 10 Aug 2018 11:56:02 -0700 ) </td></tr>\n",
       "\t<tr><td>ADHAYGAP16                    </td><td>C:                            </td><td> cm8758                       </td><td> ( Fri                        </td><td> 10 Aug 2018 09:55:03 -0700 ) </td><td> H:                           </td><td> xb5538                       </td><td> ( Fri                        </td><td> 10 Aug 2018 11:02:49 -0700 ) </td><td> H:                           </td><td> vu4555                       </td><td> ( Fri                        </td><td> 10 Aug 2018 00:41:05 -0700 ) </td><td>NULL                          </td><td>NULL                          </td><td>NULL                          </td><td>NULL                          </td></tr>\n",
       "\t<tr><td>ADHAYWEB08                   </td><td>C:                           </td><td> admin_csuhad                </td><td> ( Fri                       </td><td> 10 Aug 2018 11:25:02 -0700 )</td><td>NULL                         </td><td>NULL                         </td><td>NULL                         </td><td>NULL                         </td><td>NULL                         </td><td>NULL                         </td><td>NULL                         </td><td>NULL                         </td><td>NULL                         </td><td>NULL                         </td><td>NULL                         </td><td>NULL                         </td></tr>\n",
       "\t<tr><td>ADHAYFIM01                    </td><td>C                             </td><td> admin_csuhad                 </td><td> ( Fri                        </td><td> 10 Aug 2018 11:25:02 -0700 ) </td><td> H:                           </td><td> ag7287                       </td><td> ( Fri                        </td><td> 10 Aug 2018 10:34:23 -0700 ) </td><td> C                            </td><td> rk6682                       </td><td> ( Fri                        </td><td> 10 Aug 2018 10:19:29 -0700 ) </td><td>NULL                          </td><td>NULL                          </td><td>NULL                          </td><td>NULL                          </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lllllllllllllllll}\n",
       " Endpoint Name & (Login Disk & AD User & Login Time)... & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
       "\\hline\n",
       "\t ADHAYGAP21                     & C                              &  admin\\_csuhad                &  ( Fri                         &  10 Aug 2018 11:25:02 -0700 )  &  H:                            &  ag7287                        &  ( Fri                         &  10 Aug 2018 10:34:23 -0700 )  &  C                             &  rk6682                        &  ( Fri                         &  10 Aug 2018 10:19:29 -0700 )  & NULL                           & NULL                           & NULL                           & NULL                          \\\\\n",
       "\t ADHAYVCR01                    & C:                            &  cm8758                       &  ( Fri                        &  10 Aug 2018 11:56:23 -0700 ) & NULL                          & NULL                          & NULL                          & NULL                          & NULL                          & NULL                          & NULL                          & NULL                          & NULL                          & NULL                          & NULL                          & NULL                         \\\\\n",
       "\t ADHAYFDB01                     & C                              &  rk6682                        &  ( Fri                         &  10 Aug 2018 10:19:29 -0700 )  &  C                             &  cm8758                        &  ( Fri                         &  10 Aug 2018 11:56:23 -0700 )  &  C                             &  ge4357                        &  ( Wed                         &  13 Jun 2018 05:34:09 -0700 )  &  H:                            &  wx6242                        &  ( Fri                         &  10 Aug 2018 11:56:02 -0700 ) \\\\\n",
       "\t ADHAYGAP16                     & C:                             &  cm8758                        &  ( Fri                         &  10 Aug 2018 09:55:03 -0700 )  &  H:                            &  xb5538                        &  ( Fri                         &  10 Aug 2018 11:02:49 -0700 )  &  H:                            &  vu4555                        &  ( Fri                         &  10 Aug 2018 00:41:05 -0700 )  & NULL                           & NULL                           & NULL                           & NULL                          \\\\\n",
       "\t ADHAYWEB08                    & C:                            &  admin\\_csuhad               &  ( Fri                        &  10 Aug 2018 11:25:02 -0700 ) & NULL                          & NULL                          & NULL                          & NULL                          & NULL                          & NULL                          & NULL                          & NULL                          & NULL                          & NULL                          & NULL                          & NULL                         \\\\\n",
       "\t ADHAYFIM01                     & C                              &  admin\\_csuhad                &  ( Fri                         &  10 Aug 2018 11:25:02 -0700 )  &  H:                            &  ag7287                        &  ( Fri                         &  10 Aug 2018 10:34:23 -0700 )  &  C                             &  rk6682                        &  ( Fri                         &  10 Aug 2018 10:19:29 -0700 )  & NULL                           & NULL                           & NULL                           & NULL                          \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "Endpoint Name | (Login Disk | AD User | Login Time)... | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | \n",
       "|---|---|---|---|---|---|\n",
       "| ADHAYGAP21                     | C                              |  admin_csuhad                  |  ( Fri                         |  10 Aug 2018 11:25:02 -0700 )  |  H:                            |  ag7287                        |  ( Fri                         |  10 Aug 2018 10:34:23 -0700 )  |  C                             |  rk6682                        |  ( Fri                         |  10 Aug 2018 10:19:29 -0700 )  | NULL                           | NULL                           | NULL                           | NULL                           | \n",
       "| ADHAYVCR01                    | C:                            |  cm8758                       |  ( Fri                        |  10 Aug 2018 11:56:23 -0700 ) | NULL                          | NULL                          | NULL                          | NULL                          | NULL                          | NULL                          | NULL                          | NULL                          | NULL                          | NULL                          | NULL                          | NULL                          | \n",
       "| ADHAYFDB01                     | C                              |  rk6682                        |  ( Fri                         |  10 Aug 2018 10:19:29 -0700 )  |  C                             |  cm8758                        |  ( Fri                         |  10 Aug 2018 11:56:23 -0700 )  |  C                             |  ge4357                        |  ( Wed                         |  13 Jun 2018 05:34:09 -0700 )  |  H:                            |  wx6242                        |  ( Fri                         |  10 Aug 2018 11:56:02 -0700 )  | \n",
       "| ADHAYGAP16                     | C:                             |  cm8758                        |  ( Fri                         |  10 Aug 2018 09:55:03 -0700 )  |  H:                            |  xb5538                        |  ( Fri                         |  10 Aug 2018 11:02:49 -0700 )  |  H:                            |  vu4555                        |  ( Fri                         |  10 Aug 2018 00:41:05 -0700 )  | NULL                           | NULL                           | NULL                           | NULL                           | \n",
       "| ADHAYWEB08                    | C:                            |  admin_csuhad                 |  ( Fri                        |  10 Aug 2018 11:25:02 -0700 ) | NULL                          | NULL                          | NULL                          | NULL                          | NULL                          | NULL                          | NULL                          | NULL                          | NULL                          | NULL                          | NULL                          | NULL                          | \n",
       "| ADHAYFIM01                     | C                              |  admin_csuhad                  |  ( Fri                         |  10 Aug 2018 11:25:02 -0700 )  |  H:                            |  ag7287                        |  ( Fri                         |  10 Aug 2018 10:34:23 -0700 )  |  C                             |  rk6682                        |  ( Fri                         |  10 Aug 2018 10:19:29 -0700 )  | NULL                           | NULL                           | NULL                           | NULL                           | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  Endpoint Name (Login Disk AD User       Login Time)...\n",
       "1 ADHAYGAP21    C            admin_csuhad  ( Fri        \n",
       "2 ADHAYVCR01    C:           cm8758        ( Fri        \n",
       "3 ADHAYFDB01    C            rk6682        ( Fri        \n",
       "4 ADHAYGAP16    C:           cm8758        ( Fri        \n",
       "5 ADHAYWEB08    C:           admin_csuhad  ( Fri        \n",
       "6 ADHAYFIM01    C            admin_csuhad  ( Fri        \n",
       "  <NA>                           <NA> <NA>    <NA>  \n",
       "1  10 Aug 2018 11:25:02 -0700 )   H:   ag7287  ( Fri\n",
       "2  10 Aug 2018 11:56:23 -0700 )  NULL NULL    NULL  \n",
       "3  10 Aug 2018 10:19:29 -0700 )   C    cm8758  ( Fri\n",
       "4  10 Aug 2018 09:55:03 -0700 )   H:   xb5538  ( Fri\n",
       "5  10 Aug 2018 11:25:02 -0700 )  NULL NULL    NULL  \n",
       "6  10 Aug 2018 11:25:02 -0700 )   H:   ag7287  ( Fri\n",
       "  <NA>                           <NA> <NA>    <NA>  \n",
       "1  10 Aug 2018 10:34:23 -0700 )   C    rk6682  ( Fri\n",
       "2 NULL                           NULL NULL    NULL  \n",
       "3  10 Aug 2018 11:56:23 -0700 )   C    ge4357  ( Wed\n",
       "4  10 Aug 2018 11:02:49 -0700 )   H:   vu4555  ( Fri\n",
       "5 NULL                           NULL NULL    NULL  \n",
       "6  10 Aug 2018 10:34:23 -0700 )   C    rk6682  ( Fri\n",
       "  <NA>                           <NA> <NA>    <NA>  \n",
       "1  10 Aug 2018 10:19:29 -0700 )  NULL NULL    NULL  \n",
       "2 NULL                           NULL NULL    NULL  \n",
       "3  13 Jun 2018 05:34:09 -0700 )   H:   wx6242  ( Fri\n",
       "4  10 Aug 2018 00:41:05 -0700 )  NULL NULL    NULL  \n",
       "5 NULL                           NULL NULL    NULL  \n",
       "6  10 Aug 2018 10:19:29 -0700 )  NULL NULL    NULL  \n",
       "  <NA>                         \n",
       "1 NULL                         \n",
       "2 NULL                         \n",
       "3  10 Aug 2018 11:56:02 -0700 )\n",
       "4 NULL                         \n",
       "5 NULL                         \n",
       "6 NULL                         "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Solving another problem: Let's look at the active-directory users who've recently logged onto the workstation\n",
    "#\n",
    "# Create a 'relevance string and query the BigFix server for all endpoints containing \"ADHAY\" in the name, \n",
    "# their ComputerName and the last Active Directory logged-on user\n",
    "\n",
    "# BTW, (notice the encoding of double-quotes (%22), \">\" (%3e), and ampersand (%26) characters)\n",
    "newRelevance<-\"(name of it %26 %22,%22 %26 (concatenation %22 , %22 of (values of results from (bes property %22Active Directory Local User Info%22) of it as string))) of bes computers whose (name of it as lowercase contains %22adhay%22)\"\n",
    "\n",
    "xmlResult<-queryBFviaRelevance(myCfg,newRelevance)\n",
    "#xmlResult\n",
    "\n",
    "# Using the second lambda function we defined for parsing bes computers, \n",
    "# clean up the dataframe renaming columns to something descriptive\n",
    "df1<-computersLf3(xmlResult)\n",
    "names(df1)<-c(\"Endpoint Name\",\"(Login Disk\",\"AD User\",\"Login Time)...\")\n",
    "df1[1,]\n",
    "df1[1,5]\n",
    "head(df1)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**OK, Let's look at the OS - If W7, initial install date; if W10; upgrade date....**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-10T19:37:24.091972Z",
     "start_time": "2018-08-10T19:37:23.503Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>Endpoint Name</th><th scope=col>Operating system</th><th scope=col>InitialInstallDate</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>ADHAYGAP21        </td><td>Win2012R2 6.3.9600</td><td>2016-07-28        </td></tr>\n",
       "\t<tr><td>ADHAYVCR01        </td><td>Win2012R2 6.3.9600</td><td>2016-06-08        </td></tr>\n",
       "\t<tr><td>ADHAYFDB01        </td><td>Win2008R2 6.1.7601</td><td>2015-09-20        </td></tr>\n",
       "\t<tr><td>ADHAYGAP16        </td><td>Win2012R2 6.3.9600</td><td>2017-03-16        </td></tr>\n",
       "\t<tr><td>ADHAYWEB08        </td><td>Win2012R2 6.3.9600</td><td>2017-05-02        </td></tr>\n",
       "\t<tr><td>ADHAYFIM01        </td><td>Win2008R2 6.1.7601</td><td>2016-03-13        </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lll}\n",
       " Endpoint Name & Operating system & InitialInstallDate\\\\\n",
       "\\hline\n",
       "\t ADHAYGAP21         & Win2012R2 6.3.9600 & 2016-07-28        \\\\\n",
       "\t ADHAYVCR01         & Win2012R2 6.3.9600 & 2016-06-08        \\\\\n",
       "\t ADHAYFDB01         & Win2008R2 6.1.7601 & 2015-09-20        \\\\\n",
       "\t ADHAYGAP16         & Win2012R2 6.3.9600 & 2017-03-16        \\\\\n",
       "\t ADHAYWEB08         & Win2012R2 6.3.9600 & 2017-05-02        \\\\\n",
       "\t ADHAYFIM01         & Win2008R2 6.1.7601 & 2016-03-13        \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "Endpoint Name | Operating system | InitialInstallDate | \n",
       "|---|---|---|---|---|---|\n",
       "| ADHAYGAP21         | Win2012R2 6.3.9600 | 2016-07-28         | \n",
       "| ADHAYVCR01         | Win2012R2 6.3.9600 | 2016-06-08         | \n",
       "| ADHAYFDB01         | Win2008R2 6.1.7601 | 2015-09-20         | \n",
       "| ADHAYGAP16         | Win2012R2 6.3.9600 | 2017-03-16         | \n",
       "| ADHAYWEB08         | Win2012R2 6.3.9600 | 2017-05-02         | \n",
       "| ADHAYFIM01         | Win2008R2 6.1.7601 | 2016-03-13         | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  Endpoint Name Operating system   InitialInstallDate\n",
       "1 ADHAYGAP21    Win2012R2 6.3.9600 2016-07-28        \n",
       "2 ADHAYVCR01    Win2012R2 6.3.9600 2016-06-08        \n",
       "3 ADHAYFDB01    Win2008R2 6.1.7601 2015-09-20        \n",
       "4 ADHAYGAP16    Win2012R2 6.3.9600 2017-03-16        \n",
       "5 ADHAYWEB08    Win2012R2 6.3.9600 2017-05-02        \n",
       "6 ADHAYFIM01    Win2008R2 6.1.7601 2016-03-13        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "'data.frame':\t143 obs. of  3 variables:\n",
      " $ Endpoint Name     : chr  \"ADHAYGAP21\" \"ADHAYVCR01\" \"ADHAYFDB01\" \"ADHAYGAP16\" ...\n",
      " $ Operating system  : chr  \"Win2012R2 6.3.9600\" \"Win2012R2 6.3.9600\" \"Win2008R2 6.1.7601\" \"Win2012R2 6.3.9600\" ...\n",
      " $ InitialInstallDate: Date, format: \"2016-07-28\" \"2016-06-08\" ...\n",
      " - attr(*, \"pandas.index\")=RangeIndex(start=0, stop=143, step=1)\n"
     ]
    }
   ],
   "source": [
    "# Create a 'relevance string and query the BigFix server \n",
    "# We're looking for all endpoints containing \"ADHAY\" in the name and their last checkin time\n",
    "# (notice encoding of double-quote and ampersand characters)\n",
    "                                       \n",
    "newRelevance<-\"(name of it %26 %22,%22 %26  operating system of it %26 %22,%22 %26 value of it of results from (bes property %22InitialInstallDate%22) of it) of bes computers whose (name of it as lowercase contains %22adhay%22  and exists value of it of results (it, bes property %22InitialInstallDate%22))\"\n",
    "xmlResult<-queryBFviaRelevance(myCfg,newRelevance)\n",
    "\n",
    "# Using the second lambda function we defined for parsing bes computers, \n",
    "# return a dataframe of tuples split by \">\"\n",
    "df2<-computersLf3(xmlResult)\n",
    "# Now clean up the data & rename the columns appropriately, displaying a sample\n",
    "names(df2)<-c(\"Endpoint Name\",\"Operating system\",\"DOW\",\"InstallDate\")\n",
    "dateFmt<-\"%d %b %Y %H:%M:%S %z\"\n",
    "df2$InitialInstallDate<-as.Date(df2[,\"InstallDate\"],dateFmt)\n",
    "df2$InstallDate<-NULL\n",
    "df2$DOW<-NULL\n",
    "\n",
    "head(df2)\n",
    "\n",
    "# Let's see how many tuples we have...\n",
    "str(df2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-08T15:10:59.145301Z",
     "start_time": "2018-08-08T15:10:59.058Z"
    }
   },
   "outputs": [
    {
     "ename": "ERROR",
     "evalue": "Error in strptime(x, format, tz = \"GMT\"): object 'dateFmt' not found\n",
     "output_type": "error",
     "traceback": [
      "Error in strptime(x, format, tz = \"GMT\"): object 'dateFmt' not found\nTraceback:\n",
      "1. as.Date(df0[, \"Last Checkin Time\"], dateFmt)",
      "2. as.Date.character(df0[, \"Last Checkin Time\"], dateFmt)",
      "3. strptime(x, format, tz = \"GMT\")"
     ]
    }
   ],
   "source": [
    "df0$LastReportTimeDate<-as.Date(df0[,\"Last Checkin Time\"],dateFmt)\n",
    "df0$InitialInstallDate<-as.Date(df0[,\"Initial Install Date\"],dateFmt)\n",
    "df0$Lifetime<-df0$LastReportTimeDate-df0$InitialInstallDate\n",
    "df0$LastReportTimeDate<-NULL\n",
    "df0$InitialInstallDate<-NULL\n",
    "head(df0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-06T19:57:47.478776Z",
     "start_time": "2018-08-06T19:57:44.732Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "'data.frame':\t143 obs. of  4 variables:\n",
      " $ Endpoint Name       : chr  \"ADHAYGAP21\" \"ADHAYVCR01\" \"ADHAYFDB01\" \"ADHAYGAP16\" ...\n",
      " $ Last Checkin Time   : chr  \"Mon, 06 Aug 2018 12:46:44 -0700\" \"Mon, 06 Aug 2018 12:55:27 -0700\" \"Mon, 06 Aug 2018 12:05:47 -0700\" \"Mon, 06 Aug 2018 12:46:35 -0700\" ...\n",
      " $ Initial Install Date: chr  \"Wed, 27 Jul 2016 17:08:32 -0700\" \"Wed, 08 Jun 2016 10:33:56 -0700\" \"Sun, 20 Sep 2015 08:53:24 -0700\" \"Thu, 16 Mar 2017 09:38:15 -0700\" ...\n",
      " $ Lifetime            :Class 'difftime'  atomic [1:143] 739 789 1051 508 461 ...\n",
      "  .. ..- attr(*, \"units\")= chr \"days\"\n",
      " - attr(*, \"pandas.index\")=RangeIndex(start=0, stop=143, step=1)\n"
     ]
    }
   ],
   "source": [
    "str(df0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Finally! A Useful Graph..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-06T19:57:48.657981Z",
     "start_time": "2018-08-06T19:57:44.746Z"
    }
   },
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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pf9HCTmH/n72ZrxJKwyk5JXujlIJ554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PiGKEkhkXQsEhRsxVHujDJBbAOkKyDhJO4DpJUgYmwVzCckQCMtzMSFhAgrE4UtTz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\n3qNatWq2FICPRWzRbfny5d4VisULstlmm+Xk3pjr7g0Ls2IXD881d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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "library('ggplot2')\n",
    "ggplot(df0, aes(x=as.factor(Lifetime), fill=as.factor(Lifetime) )) +  geom_bar( ) + coord_flip() + labs(title=\"BF - Endpoint Lifetime vs. Number of Endpoints (ADHAY...)\", x = \"Lifetime (days)\", y=\"# of Endpoints\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  },
  "latex_envs": {
   "LaTeX_envs_menu_present": true,
   "autoclose": false,
   "autocomplete": true,
   "bibliofile": "biblio.bib",
   "cite_by": "apalike",
   "current_citInitial": 1,
   "eqLabelWithNumbers": true,
   "eqNumInitial": 1,
   "hotkeys": {
    "equation": "Ctrl-E",
    "itemize": "Ctrl-I"
   },
   "labels_anchors": false,
   "latex_user_defs": false,
   "report_style_numbering": false,
   "user_envs_cfg": false
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}