paper_figures.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook outlines the process that was used to create the data and graphs for the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Import necessary libraries\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "import pymongo\n",
    "import pandas as pd\n",
    "from collections import defaultdict\n",
    "from pprint import pprint\n",
    "from datetime import datetime, timedelta\n",
    "import statsmodels.formula.api as sm\n",
    "import seaborn as sns\n",
    "import itertools\n",
    "from matplotlib.colors import LinearSegmentedColormap"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Format Crucible Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Generates the necessary files in the \"data\" folder to create the visualizations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Set up database connection\n",
    "# don't forget to start mongod\n",
    "# sudo mongod --dbpath /Volumes/Crucible1/data\n",
    "mongo = pymongo.MongoClient(\"localhost\")\n",
    "dbs = {\n",
    "    2:mongo[\"crucible_dstu2\"],\n",
    "    3:mongo[\"crucible_stu3\"]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# The scope of our analysis runs from December 2015 to May 2017."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run these cells once on the database before proceeding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Mark DSTU2 nightlies (STU3 were already done)\n",
    "for test_run in dbs[2].test_runs.find():\n",
    "    if test_run[\"date\"].hour in range(1,9):\n",
    "       test_run[\"nightly\"] = True\n",
    "       dbs[2].test_runs.find_one_and_update(\n",
    "            {\"_id\":test_run[\"_id\"]}, \n",
    "            { \"$set\":{\"nightly\":True }}\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8917 duplicates found\n"
     ]
    }
   ],
   "source": [
    "# Mark Duplicates in DSTU2 to avoid double counting\n",
    "dbs[2].test_runs.update_many({}, {\"$set\":{\"duplicate\":False}})\n",
    "dbs[3].test_runs.update_many({}, {\"$set\":{\"duplicate\":False}})\n",
    "duplicates = 0\n",
    "for test_run in dbs[2].test_runs.find():\n",
    "    if dbs[3].test_runs.find_one({\"_id\": test_run[\"_id\"]}):\n",
    "        duplicates += 1\n",
    "        dbs[3].test_runs.update_many({\"_id\":test_run[\"_id\"]}, {\"$set\":{\"duplicate\":True}})\n",
    "print(duplicates, \"duplicates found\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "finished building indices\n"
     ]
    }
   ],
   "source": [
    "# Create Index on test_results collection to find results by server ID quickly\n",
    "dbs[2].test_results.create_index(\"server_id\")\n",
    "dbs[3].test_results.create_index(\"server_id\")\n",
    "print(\"finished building indices\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run these cells to generate the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1970\n"
     ]
    }
   ],
   "source": [
    "# Returns the number of test runs that included exactly one test suite\n",
    "singleton = 0\n",
    "for version,db in dbs.items():\n",
    "    singleton += sum([ 1 for test_run in db.test_runs.find({\"nightly\":False,\"duplicate\":False})\n",
    "        if len(test_run[\"test_ids\"])==1\n",
    "    ])\n",
    "print(singleton)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3253\n"
     ]
    }
   ],
   "source": [
    "# Manual Tests\n",
    "manuals = []\n",
    "for version,db in dbs.items():\n",
    "    manuals.extend(\n",
    "        [(run[\"date\"],int(version==2), int(version==3), 1)\n",
    "         for run in db.test_runs.find({\"nightly\": False, \"duplicate\":False}) ]\n",
    "    )\n",
    "print(len(manuals))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average Tests per Week:  42.246753246753244\n"
     ]
    }
   ],
   "source": [
    "# Group test runs by week and version\n",
    "manual_df = pd.DataFrame(manuals, columns=[\"date\", \"dstu2\", \"stu3\", \"total\"]).set_index(\"date\")\n",
    "week_df = manual_df.resample('W-SUN').sum()\n",
    "print(\"Average Tests per Week: \",week_df[\"total\"].mean())\n",
    "week_df.to_csv(\"data/weekly_tests.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Load in server groupings by company\n",
    "server_df = pd.read_csv(\"data/servers_crucible.csv\")\n",
    "\n",
    "def get_group(url):\n",
    "    try:\n",
    "        return server_df.loc[ server_df[\"url\"] == url ].values[0][0]\n",
    "    except Exception:\n",
    "        return None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Get number of suites passed by each group\n",
    "suites_passed = defaultdict(lambda: set())\n",
    "for version, db in dbs.items():\n",
    "    for server in db.servers.find():\n",
    "        group = get_group(server[\"url\"])\n",
    "        suites_passed[group].update(server.get(\"supported_suites\", []))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Get number of manual tests run by each group\n",
    "group_tests = defaultdict(lambda:0)\n",
    "for version,db in dbs.items():\n",
    "    for test_run in db.test_runs.find({\"nightly\":False}):\n",
    "        server = db.servers.find_one({\"_id\": test_run[\"server_id\"]})\n",
    "        if server:\n",
    "            group = get_group(server[\"url\"])\n",
    "            group_tests[group] += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Top Users and Performance\n",
    "usage_and_performance = [(group, len(suites), group_tests[group]) for group,suites in suites_passed.items()]\n",
    "usage_df = pd.DataFrame.from_records(usage_and_performance, columns=[\"vendor\", \"suites\", \"test_runs\"])\n",
    "usage_df.to_csv(\"data/usage_and_performance.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Most Frequently Run Tests\n",
    "tests = defaultdict(lambda: 0)\n",
    "\n",
    "for version, db in dbs.items():\n",
    "    for test_run in db.test_runs.find({\"nightly\":False, \"duplicate\":False}):\n",
    "        for test in test_run[\"test_ids\"]:\n",
    "            tests[(test, version)] += 1\n",
    "            \n",
    "records = [ (k[0], k[1], v) for k,v in tests.items()]\n",
    "test_count_df = pd.DataFrame.from_records(records, columns=[\"test\",\"version\",\"count\"])\n",
    "test_count_df.to_csv(\"data/test_frequency.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Crucible Site sessions per week\n",
    "sessions_df = pd.read_csv(\"data/site_sessions_crucible.csv\")\n",
    "sessions_df = sessions_df[:-1]\n",
    "start_date = datetime(2016,12,1)\n",
    "sessions_df[\"date\"] = sessions_df.apply(\n",
    "    lambda row: start_date + row[0] * timedelta(7), \n",
    "    axis=1\n",
    ")\n",
    "sessions_df.to_csv(\"data/sessions_crucible.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Define Argonauts by group name\n",
    "argonauts = [\n",
    "    \"AEGIS\",\n",
    "    \"Allscripts\",\n",
    "    \"Cerner\",\n",
    "    \"HealthIntersections\",\n",
    "    \"Epic\",\n",
    "    \"InterSystems\",\n",
    "    \"NavHealth\",\n",
    "    \"RelayHealth\",\n",
    "    \"SMART Health IT\",\n",
    "    \"Advisory Board Company\",\n",
    "    \"i2b2\",\n",
    "    \"Applied Informatics\",\n",
    "    \"Hackensack UMC\",\n",
    "    \"MEDITECH\"\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Define Argonauts tests by ID\n",
    "argonauts_suites = [\n",
    "    'argonautresprint1test',\n",
    "    'argonautresprint2test',\n",
    "    'argonautresprint3test',\n",
    "    'argonautsprint1test',\n",
    "    'argonautsprint2test',\n",
    "    'argonautsprint3test',\n",
    "    'argonautsprint4test',\n",
    "    'argonautsprint5test',\n",
    "    'argonautsprint6test',\n",
    "    'argonautsprint7test',\n",
    "    'dataaccessframeworkprofilestest',\n",
    "    'argonautproviderconnectathontest'\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Argonauts Performance on argonauts tests\n",
    "argonauts_performance = {\n",
    "    group:{suite:0 for suite in argonauts_suites}\n",
    "    for group in argonauts\n",
    "}\n",
    "\n",
    "for version,db in dbs.items():\n",
    "    for server in db.servers.find():\n",
    "        group = get_group(server[\"url\"])\n",
    "        if group in argonauts:\n",
    "            for suite in server[\"supported_suites\"]:\n",
    "                if suite in argonauts_suites:\n",
    "                    argonauts_performance[group][suite] = 1\n",
    "                    \n",
    "for group, tests in argonauts_performance.items():\n",
    "    tests[\"group\"] = group\n",
    "\n",
    "argonauts_df = pd.DataFrame.from_records(list(argonauts_performance.values()), index=\"group\")\n",
    "argonauts_df.to_csv(\"data/argonauts_performance_crucible.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Success Story\n",
    "def create_success_story(group, version=3):\n",
    "    # get server IDs of all servers from that group\n",
    "    urls = [ server[\"_id\"] for server in dbs[version].servers.find() if get_group(server[\"url\"]) == group ]\n",
    "\n",
    "    # get all related test results sorted by date\n",
    "    test_results = list(dbs[version].test_results.find({\"server_id\":{\"$in\":urls}}))\n",
    "    test_results = sorted( test_results, key=lambda x: x[\"created_at\"])\n",
    "    print(\"There are\", len(test_results), \"test results for\", group)            \n",
    "\n",
    "    # get all possible tests\n",
    "    tests = [ [ m[\"id\"] for m in t[\"methods\"]] for t in dbs[version].tests.find()]\n",
    "    tracker = {}\n",
    "    for suite in tests:\n",
    "        for test in suite:\n",
    "            tracker[test] = \"NA\"\n",
    "\n",
    "    date = datetime(2015,12,1)\n",
    "    data = []\n",
    "    test_priority = {\n",
    "        \"NA\":0,\n",
    "        \"error\":0.5,\n",
    "        \"skip\":1,\n",
    "        \"fail\":2,\n",
    "        \"pass\":3\n",
    "    }\n",
    "    \n",
    "    # records updates to the tracker based on the current week's results\n",
    "    def record_status(date, weekly_tracker, tracker):\n",
    "        for test, result in weekly_tracker.items():\n",
    "            tracker[test] = result\n",
    "        NA = len([i for i in tracker.items() if i[1] == \"NA\"])\n",
    "        error = len([i for i in tracker.items() if i[1] == \"error\"])\n",
    "        skipped = len([i for i in tracker.items() if i[1] == \"skip\"])\n",
    "        failed = len([i for i in tracker.items() if i[1] == \"fail\"])\n",
    "        passed = len([i for i in tracker.items() if i[1] == \"pass\"])\n",
    "        return { \n",
    "            \"date\":date,\n",
    "            \"NA\": NA,\n",
    "            \"skip\":skipped, \n",
    "            \"fail\":failed, \n",
    "            \"pass\":passed,\n",
    "            \"error\":error\n",
    "        } \n",
    "\n",
    "    weekly_tracker = defaultdict(lambda: \"NA\")\n",
    "    for test_result in test_results:\n",
    "        if test_result[\"created_at\"] > date:\n",
    "            # Record status at date\n",
    "            data.append(record_status(date, weekly_tracker, tracker))\n",
    "            weekly_tracker = defaultdict(lambda: \"NA\")\n",
    "            # increment date 1 week\n",
    "            date = date + timedelta(days=7)\n",
    "\n",
    "        # Update Status\n",
    "        for result in test_result[\"result\"]:\n",
    "            if test_priority[result[\"status\"]] > test_priority[weekly_tracker[result[\"id\"]]]:\n",
    "                weekly_tracker[result[\"id\"]] = result[\"status\"]\n",
    "\n",
    "    data.append(record_status(date, weekly_tracker,tracker))\n",
    "    tracker_df = pd.DataFrame.from_dict(data)\n",
    "\n",
    "    # Save the results\n",
    "    tracker_df.to_csv(\"data/\" + group + \"_\" + str(version) + \"_servers.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 229 test results for SRDC\n",
      "There are 3366 test results for SRDC\n"
     ]
    }
   ],
   "source": [
    "group = \"SRDC\"\n",
    "create_success_story(group, version=2)\n",
    "create_success_story(group, version=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# AEGIS Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Some helper functions to process AEGIS data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def fix_dates(df, column_name = \"date\"):\n",
    "    df = df.dropna( subset = [column_name])\n",
    "    df[column_name] = df[column_name].apply(fix_date)\n",
    "    return df\n",
    "\n",
    "def fix_date(date):\n",
    "    parts = date.split(\"/\")\n",
    "    day = int(parts[1])\n",
    "    month = int(parts[0])\n",
    "    year = int(parts[2]) + 2000\n",
    "    new_date = datetime(year, month, day)\n",
    "    return str(new_date.date())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Some code to look at tests frequency in AEGIS data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"touchstone_data/test_frequency_Touchstone.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Unnamed: 0', 'test', 'version ', 'count'], dtype='object')"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PATIENT TESTS:               99848 \t 18.844685352564042 %\n",
      "TERMINOLOGY TESTS:           55163 \t 10.411118681430677 %\n",
      "CONNECTATHON TESTS:          125720 \t 23.727604383907053 %\n",
      "ARGONAUT TESTS:              4682 \t 0.8836513182107288 %\n",
      "BASICDSTU2 TESTS:            11229 \t 2.1192910406211607 %\n",
      "BASICSTU3 TESTS:             9295 \t 1.7542800091347126 %\n",
      "BASICOPERATIONS TESTS:       25085 \t 4.7343855867826 %\n",
      "-----------------------------------------------------------------------\n",
      "FHIR1-0 TESTS:               34429 \t 6.497913548628189 %\n",
      "FHIR1-2 TESTS:               21052 \t 3.9732224585587916 %\n",
      "FHIR1-4 TESTS:               19444 \t 3.669738622658994 %\n",
      "FHIR1-6 TESTS:               83780 \t 15.812111798311587 %\n",
      "FHIR1-8 TESTS:               87862 \t 16.582522879246273 %\n",
      "FHIR3-0-0 TESTS:             37656 \t 7.106957291444512 %\n",
      "FHIR3-0-1 TESTS:             108387 \t 20.456282662730942 %\n",
      "-----------------------------------------------------------------------\n",
      "VERSION 2 : 76066\n",
      "VERSION 3 : 453781\n",
      "-----------------------------------------------------------------------\n",
      "TOTAL TESTS:                 529847\n"
     ]
    }
   ],
   "source": [
    "records = df.to_dict(\"records\")\n",
    "terms = [\"patient\", \"terminology\", \"connectathon\", \"argonaut\", \n",
    "         \"basicdstu2\", \"basicstu3\",\"basicoperations\"]\n",
    "releases = [\"fhir1-0\",\"fhir1-2\",\"fhir1-4\",\"fhir1-6\", \"fhir1-8\", \"fhir3-0-0\", \"fhir3-0-1\"]\n",
    "counts = defaultdict(lambda : 0)\n",
    "release_counts = defaultdict(lambda: 0)\n",
    "version = defaultdict(lambda:0)\n",
    "\n",
    "total = 0\n",
    "for r in records:\n",
    "    for term in terms:\n",
    "        if term in r[\"test\"].lower():\n",
    "            counts[term] += r[\"count\"]\n",
    "    for release in releases:\n",
    "        if release in r[\"test\"].lower():\n",
    "            release_counts[release] += r[\"count\"]\n",
    "    total += r[\"count\"]\n",
    "    version[r[\"version \"]] += r[\"count\"]\n",
    "    \n",
    "for term in terms:\n",
    "    print(term.upper(), \"TESTS:\", \" \"*(20 - len(term)), counts[term], \"\\t\", counts[term]*1.0/total*100,\"%\" )\n",
    "print(\"-----------------------------------------------------------------------\")\n",
    "\n",
    "for term in releases:\n",
    "    print(term.upper(), \"TESTS:\", \" \"*(20 - len(term)), release_counts[term], \"\\t\", release_counts[term]*1.0/total*100,\"%\" )\n",
    "print(\"-----------------------------------------------------------------------\")\n",
    "\n",
    "for v in version.keys():\n",
    "    print(\"VERSION\", v, \":\", version[v])\n",
    "print(\"-----------------------------------------------------------------------\")\n",
    "print(\"TOTAL TESTS:\", \" \"*15, total)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Pnas29m9t2hdncHd3k4dH9fSRS4fmwMDACnfTKCwslL+/v9FeUFBQob1du3by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\nhGYAAADABKEZAAAAMPE/jX2z+U8mGrcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x119aaecf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def bar_chart(name_map ,kv):\n",
    "    ind = np.arange(len(name_map))\n",
    "    width = 0.8\n",
    "    rects = plt.bar(\n",
    "        ind+0.1, \n",
    "        [kv[i[1]] for i in name_map],\n",
    "        width,\n",
    "        #color=sns.color_palette(\"muted\")[0]\n",
    "    )\n",
    "  \n",
    "    plt.title(\"Touchstone Usage by FHIR Version\")\n",
    "    plt.ylabel(\"Tests Run\")\n",
    "    plt.xticks(ind+0.5, [i[0] for i in name_map] )\n",
    "    plt.gcf().autofmt_xdate()\n",
    "    plt.show()\n",
    "    \n",
    "bar_chart(\n",
    "    [ \n",
    "        (\"1.0\",\"fhir1-0\"),\n",
    "        (\"1.2\",\"fhir1-2\"),\n",
    "        (\"1.4\",\"fhir1-4\"),\n",
    "        (\"1.6\",\"fhir1-6\"),\n",
    "        (\"1.8\",\"fhir1-8\"),\n",
    "        (\"3.0.0\",\"fhir3-0-0\"),\n",
    "        (\"3.0.1\",\"fhir3-0-1\")\n",
    "    ],\n",
    "    release_counts)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Create Graphs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Manual tests by week\n",
    "2. Compare dstu2 vs. stu3 usage.\n",
    "3. Regression Results\n",
    "4. Success Stories\n",
    "5. Top Users and Performance\n",
    "6. Most Frequently Run Tests\n",
    "7. Crucible Site sessions per week\n",
    "8. Argonauts Performance"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Manual Tests by week"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "''' takes pandas dataframe with columns \"date\" and \"tests\" '''\n",
    "def manual_tests_by_week(dataframe, date_format = \"%Y-%m-%d\"):\n",
    "    pd.to_datetime(dataframe[\"date\"])\n",
    "    fig = plt.figure(figsize=(20,5))\n",
    "    dates = [ datetime.strptime(date, date_format) for date in dataframe[\"date\"] ]\n",
    "    fig.suptitle(\"Test Runs Per Week\")\n",
    "    ax = plt.subplot()\n",
    "    ax.bar(dates,dataframe[\"total\"], width=6, color=sns.color_palette(\"muted\")[0])\n",
    "    ax.xaxis_date()\n",
    "    plt.gcf().autofmt_xdate()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x119031a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x119163f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x119164cc0>"
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     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
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lA0YrRGmvvvoqixcvBkrGDw8ePMDHx4fr16+zbds23n//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\nhBBCCCGeWf8PzEWsxUSOk8IAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x119026438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "crucible_df = pd.read_csv(\"data/weekly_tests.csv\")\n",
    "manual_tests_by_week(crucible_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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xMapevbp8fHzss1sOHTqkSpUqyWAw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\nxozRf//7X3tHY/uvbT1ib29v+zHR0dGKjo4upCIDzsvWDkqXLq327dt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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a71de80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aegis_df = pd.read_csv(\"touchstone_data/Weekly Sessions - Touchstone - dstu2 vs stu3.csv\")\n",
    "aegis_df = fix_dates(aegis_df)\n",
    "manual_tests_by_week(aegis_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Version Usage - dstu2 vs. stu3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "''' takes a pandas dataframe with columns \"date\", \"dstu2\", and \"stu3\" '''\n",
    "def version_usage_by_week(dataframe):\n",
    "    pd.to_datetime(dataframe[\"date\"])\n",
    "    fig = plt.figure(figsize=(20,5))\n",
    "    dates = [ datetime.strptime(date, '%Y-%m-%d') for date in dataframe[\"date\"] ]\n",
    "\n",
    "    fig.suptitle(\"Version Usage by Week\")\n",
    "    ax = plt.subplot()\n",
    "    ax.plot(dates, dataframe[\"dstu2\"], color=sns.color_palette(\"muted\")[0])\n",
    "    ax.plot(dates, dataframe[\"stu3\"], color=sns.color_palette(\"muted\")[2])\n",
    "    ax.xaxis_date()\n",
    "    plt.gcf().autofmt_xdate()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1194a1240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1183aaf60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117a33080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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mg0jtWmP5BqA1VmjmR26WqayMrm/fOfND6pkRklBWxIyK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2ZCEkLOvAg4E7bVi2+Hso8guXLfc/v/xfvreLDaeQya2OizaKyU1yMqS9unG+R7JIT498d4rM1o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\niIiIiIiIyC3rP0CSCp+Qs+HfAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1156202e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "crucible_df = pd.read_csv(\"data/weekly_tests.csv\")\n",
    "version_usage_by_week(crucible_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/cdowling/anaconda3/lib/python3.5/site-packages/ipykernel/__main__.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  app.launch_new_instance()\n"
     ]
    },
    {
     "data": {
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CqaG+4+eGpQNUtC5PSLn++utzwAEH5Nxzz82MGTNy/vnn59xzz02xWMzs2bNT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P8twJBdclx9fVzGFUQR1y23G+d0JEJg2XttGkctL0UPGNdd8/DO78C1TZ0BgOapRzlS2MyzOwYt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\nzdb/B4sZYcVdYCMGAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117ab2b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aegis_df = pd.read_csv(\"touchstone_data/Weekly Sessions - Touchstone - dstu2 vs stu3.csv\")\n",
    "aegis_df = fix_dates(aegis_df)\n",
    "version_usage_by_week(aegis_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Regression - uses vs. performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "''' Takes a pandas dataframe with columns \"suites\" and \"test_runs\" '''\n",
    "def regression_results(dataframe):\n",
    "    result = sm.ols(formula=\"suites ~ test_runs\", data=dataframe).fit()\n",
    "    return result.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>         <td>suites</td>      <th>  R-squared:         </th> <td>   0.262</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.256</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   40.18</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Thu, 14 Sep 2017</td> <th>  Prob (F-statistic):</th> <td>4.90e-09</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>12:18:49</td>     <th>  Log-Likelihood:    </th> <td> -709.42</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>   115</td>      <th>  AIC:               </th> <td>   1423.</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>   113</td>      <th>  BIC:               </th> <td>   1428.</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     1</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "      <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th> <th>[95.0% Conf. Int.]</th> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th> <td>   98.3549</td> <td>   12.044</td> <td>    8.166</td> <td> 0.000</td> <td>   74.494   122.216</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>test_runs</th> <td>    0.8084</td> <td>    0.128</td> <td>    6.339</td> <td> 0.000</td> <td>    0.556     1.061</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td>13.431</td> <th>  Durbin-Watson:     </th> <td>   2.048</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.001</td> <th>  Jarque-Bera (JB):  </th> <td>  11.864</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td> 0.703</td> <th>  Prob(JB):          </th> <td> 0.00265</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 2.294</td> <th>  Cond. No.          </th> <td>    105.</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                 suites   R-squared:                       0.262\n",
       "Model:                            OLS   Adj. R-squared:                  0.256\n",
       "Method:                 Least Squares   F-statistic:                     40.18\n",
       "Date:                Thu, 14 Sep 2017   Prob (F-statistic):           4.90e-09\n",
       "Time:                        12:18:49   Log-Likelihood:                -709.42\n",
       "No. Observations:                 115   AIC:                             1423.\n",
       "Df Residuals:                     113   BIC:                             1428.\n",
       "Df Model:                           1                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [95.0% Conf. Int.]\n",
       "------------------------------------------------------------------------------\n",
       "Intercept     98.3549     12.044      8.166      0.000        74.494   122.216\n",
       "test_runs      0.8084      0.128      6.339      0.000         0.556     1.061\n",
       "==============================================================================\n",
       "Omnibus:                       13.431   Durbin-Watson:                   2.048\n",
       "Prob(Omnibus):                  0.001   Jarque-Bera (JB):               11.864\n",
       "Skew:                           0.703   Prob(JB):                      0.00265\n",
       "Kurtosis:                       2.294   Cond. No.                         105.\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crucible_df = pd.read_csv(\"data/usage_and_performance.csv\")\n",
    "regression_results(crucible_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/cdowling/anaconda3/lib/python3.5/site-packages/statsmodels/stats/stattools.py:72: UserWarning: omni_normtest is not valid with less than 8 observations; 3 samples were given.\n",
      "  \"samples were given.\" % int(n))\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>         <td>suites</td>      <th>  R-squared:         </th> <td>   0.953</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.907</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   20.49</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Thu, 14 Sep 2017</td> <th>  Prob (F-statistic):</th>  <td> 0.138</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>12:18:50</td>     <th>  Log-Likelihood:    </th> <td> -21.157</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>     3</td>      <th>  AIC:               </th> <td>   46.31</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>     1</td>      <th>  BIC:               </th> <td>   44.51</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     1</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "      <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th> <th>[95.0% Conf. Int.]</th> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th> <td>  274.2282</td> <td>  388.172</td> <td>    0.706</td> <td> 0.608</td> <td>-4657.969  5206.425</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>test_runs</th> <td>    0.0152</td> <td>    0.003</td> <td>    4.527</td> <td> 0.138</td> <td>   -0.028     0.058</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td>   nan</td> <th>  Durbin-Watson:     </th> <td>   2.309</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td>   nan</td> <th>  Jarque-Bera (JB):  </th> <td>   0.305</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td> 0.218</td> <th>  Prob(JB):          </th> <td>   0.859</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 1.500</td> <th>  Cond. No.          </th> <td>1.60e+05</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                 suites   R-squared:                       0.953\n",
       "Model:                            OLS   Adj. R-squared:                  0.907\n",
       "Method:                 Least Squares   F-statistic:                     20.49\n",
       "Date:                Thu, 14 Sep 2017   Prob (F-statistic):              0.138\n",
       "Time:                        12:18:50   Log-Likelihood:                -21.157\n",
       "No. Observations:                   3   AIC:                             46.31\n",
       "Df Residuals:                       1   BIC:                             44.51\n",
       "Df Model:                           1                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [95.0% Conf. Int.]\n",
       "------------------------------------------------------------------------------\n",
       "Intercept    274.2282    388.172      0.706      0.608     -4657.969  5206.425\n",
       "test_runs      0.0152      0.003      4.527      0.138        -0.028     0.058\n",
       "==============================================================================\n",
       "Omnibus:                          nan   Durbin-Watson:                   2.309\n",
       "Prob(Omnibus):                    nan   Jarque-Bera (JB):                0.305\n",
       "Skew:                           0.218   Prob(JB):                        0.859\n",
       "Kurtosis:                       1.500   Cond. No.                     1.60e+05\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "[2] The condition number is large, 1.6e+05. This might indicate that there are\n",
       "strong multicollinearity or other numerical problems.\n",
       "\"\"\""
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aegis_df = pd.read_csv(\"touchstone_data/usage_and_performance_touchstone.csv\")\n",
    "regression_results(aegis_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Success Stories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def success_graph(dataframe):\n",
    "    y = np.row_stack(( \n",
    "        list(dataframe[\"pass\"]), \n",
    "        list(dataframe[\"fail\"]), \n",
    "        list(dataframe[\"error\"]), \n",
    "        list(dataframe[\"skip\"])\n",
    "    ))\n",
    "    #x = list(dataframe[\"date\"])\n",
    "    x = [ datetime.strptime(date, '%Y-%m-%d') for date in dataframe[\"date\"] ]\n",
    "    colors = [\n",
    "        sns.color_palette(\"muted\")[0],\n",
    "        sns.color_palette(\"muted\")[2],\n",
    "        sns.color_palette(\"muted\")[3],\n",
    "        sns.color_palette(\"muted\")[4]\n",
    "    ]\n",
    "    \n",
    "    fig,ax = plt.subplots()\n",
    "    ax.stackplot(x,y, colors=colors)\n",
    "    plt.legend([\"Pass\",\"Fail\",\"Error\",\"Skip\"], loc=\"upper left\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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YmNgNPZETPbbK6XT+Tbv7uHbTNGWa8ZPOAQAA0FN4UP9pbtCgs4973uu2bTUaNOicnlkQ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\nSUUCVCGEEEIIkVQkQBVCCCGEEEmlzwLUBQsWUF5eTnl5OZMmTaKyspJ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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1189fa630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "success_graph(pd.read_csv(\"data/SRDC_2_servers.csv\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# NO CORRESPONDING AEGIS DATA\n",
    "aegis_df = pd.read_csv(\"touchstone_data/\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Top Users and Performers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "''' takes a pandas dataframe with columns \"group\", \"test_runs\", and \"suites\" '''\n",
    "NUM = 10\n",
    "def top_users_graph(dataframe):\n",
    "    dataframe = dataframe.sort_values(by=[\"test_runs\"], ascending=False)\n",
    "    top_users = dataframe.head(n=NUM)\n",
    "    \n",
    "    ind = np.arange(NUM)\n",
    "    width=0.3\n",
    "    rects1 = plt.bar(\n",
    "        ind+0.2, \n",
    "        list(top_users[\"test_runs\"]), \n",
    "        width, \n",
    "        color=sns.color_palette(\"muted\")[0]\n",
    "    )\n",
    "    rects2 = plt.bar(\n",
    "        ind+width+0.2, \n",
    "        list(top_users[\"suites\"]), \n",
    "        width, \n",
    "        color=sns.color_palette(\"muted\")[2]\n",
    "    )\n",
    "    plt.legend((rects1[0],rects2[0]), (\"Test Runs\", \"Suites Passed\"))\n",
    "    plt.title(\"Crucible Usage vs. Performance\")\n",
    "    plt.xticks(ind+0.5, list(top_users[\"vendor\"]))\n",
    "    plt.gcf().autofmt_xdate()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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JKlJRUZFOnTqlWbOm6T//Ga7//vdDq6+vYq78nntrIIACAIBrCqxTRyFeXjd6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\nRURERMSj/gaIBLQR2obvtgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11ab88278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "crucible_df = pd.read_csv(\"data/usage_and_performance.csv\")\n",
    "top_users_graph(crucible_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "aegis_df = pd.read_csv(\"touchstone_data/usage_and_performance_touchstone.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6. Most frequently run tests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "''' takes a pandas dataframe with columns \"test\" and \"count\" '''\n",
    "def frequent_tests(dataframe, num=10):\n",
    "    tests = defaultdict(lambda:0)\n",
    "    for test in dataframe.to_dict('records'):\n",
    "        tests[test[\"test\"]] += test[\"count\"]\n",
    "    sorted_tests = sorted(tests.items(), key=lambda x: x[1],reverse=True)\n",
    "    top_tests = sorted_tests[0:10]\n",
    "    pprint(top_tests)\n",
    "    #dataframe = dataframe.sort_values(\"count\", ascending=False)\n",
    "    #top_tests = dataframe.head(num)\n",
    "    #print(top_tests)\n",
    "    ind = np.arange(num)\n",
    "    width = 0.8\n",
    "    rects = plt.bar(\n",
    "        ind+0.1, \n",
    "        [i[1] for i in top_tests], #list(top_tests[\"count\"]),\n",
    "        width,\n",
    "        color=sns.color_palette(\"muted\")[0]\n",
    "    )\n",
    "    \n",
    "    plt.title(\"Test Usage\")\n",
    "    plt.xticks(ind+0.5, [i[0] for i in top_tests] )#list(top_tests[\"test\"]))\n",
    "    plt.gcf().autofmt_xdate()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('argonautsprint1test', 858),\n",
      " ('readtest', 664),\n",
      " ('argonautsprint3test', 549),\n",
      " ('argonautsprint4test', 539),\n",
      " ('history001', 476),\n",
      " ('search001', 475),\n",
      " ('format001', 460),\n",
      " ('argonautsprint5test', 451),\n",
      " ('transactionandbatchtest', 447),\n",
      " ('resourcetest_patient', 445)]\n"
     ]
    },
    {
     "data": {
      "image/png": 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WSJKWL1+u9PR0FRQUKDk5WXPnztWOHTu0adOmICcCAABAT7NUeR4+fHi347W1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\nJM9CCCGEEEK8oP8BzZSBXkleUGQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1046d3550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "crucible_df = pd.read_csv(\"data/test_frequency.csv\")\n",
    "frequent_tests(crucible_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('/Connectathon10/Track1-Patient/track1-patient-base-client-id-xml', 3092),\n",
      " ('/Connectathon12/Track-16-Terminology/Validate-code/Existing '\n",
      "  'ValueSets/connectathon-12-track-16-ts-validate-code-existing-id',\n",
      "  2698),\n",
      " ('/FHIR3-0-1-Advanced/Patient/03-create/fhir-api-stu3-patient-create-01-ok',\n",
      "  2381),\n",
      " ('/Connectathon10/Track1-Patient/track1-patient-bonus-client-id-xml', 2369),\n",
      " ('/Advanced-FHIR1-8-0/Patient/03-create/fhir-api-stu3-patient-create-01-ok',\n",
      "  2322),\n",
      " ('/Advanced-FHIR1-8-0/Patient/04-update/fhir-api-stu3-patient-update-04-conditional',\n",
      "  1935),\n",
      " ('/Advanced-FHIR1-6-0/Patient/04-update/fhir-api-stu3-patient-update-04-conditional',\n",
      "  1810),\n",
      " ('/Advanced-FHIR1-6-0/Patient/03-create/fhir-api-stu3-patient-create-01-ok',\n",
      "  1802),\n",
      " ('/Connectathon10/Track1-Patient/track1-patient-base-server-id-xml', 1762),\n",
      " ('/Advanced-FHIR1-6-0/Patient/04-update/fhir-api-stu3-patient-update-01-ok',\n",
      "  1718)]\n"
     ]
    },
    {
     "data": {
      "image/png": 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3NvarnloiAlCelGkAAMA+1xNLRADKkxcQAAAAAEBByjQAAAAAKMhjngAAAPuA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uXKlStYWlpSUVHBunXrKCoqwsPDQyy0r1rHCoWCTp064eLi8lb1/RnVVffLVJd1/t9CqVSS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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117ab2160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aegis_df = pd.read_csv(\"touchstone_data/test_frequency_Touchstone.csv\")\n",
    "frequent_tests(aegis_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7. Site Sessions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "''' takes a pandas dataframe with columns \"date\" and \"Sessions\" '''\n",
    "def site_sessions(dataframe):\n",
    "    pd.to_datetime(dataframe[\"date\"])\n",
    "    fig = plt.figure(figsize=(20,5))\n",
    "    dates = [ datetime.strptime(date, '%Y-%m-%d') for date in dataframe[\"date\"] ]\n",
    "\n",
    "    fig.suptitle(\"Site Sessions by Week\")\n",
    "    ax = plt.subplot()\n",
    "    ax.plot(dates, dataframe[\"Sessions\"], color=sns.color_palette(\"muted\")[1])\n",
    "    ax.scatter(\n",
    "        dates, \n",
    "        dataframe[\"Sessions\"], \n",
    "        color=sns.color_palette(\"muted\")[1],\n",
    "        s=50,\n",
    "    )\n",
    "    ax.xaxis_date()\n",
    "    plt.gcf().autofmt_xdate()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ahbU2uZqG1zsyQ1+XfyWP4dYu1zb1iuxjdkkAALRo57xY+o/t3r1b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JSJEyfi5OR0x5+rra3lm2++0Y7bRYsWERQURFZWVovgrOb7ZRNE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\nV1TgwiwfAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x119585a20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "crucible_df = pd.read_csv(\"data/sessions_crucible.csv\")\n",
    "site_sessions(crucible_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# NO AEGIS DATA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 8. Argonauts Performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "''' Takes a pandas dataframe with a \"group\" column \n",
    "    and one column for each test with True/False or 1/0 values '''\n",
    "def argonauts_performance_table(dataframe,test_names):\n",
    "    groups = list(dataframe[\"group\"])\n",
    "    del dataframe[\"group\"]\n",
    "    annotation = np.array([ \n",
    "        [\"Pass\" if i else \"Fail\" for i in row]\n",
    "        for row in dataframe.values\n",
    "    ])\n",
    "    return sns.heatmap(\n",
    "        dataframe, \n",
    "        linewidths=.5,\n",
    "        cmap=LinearSegmentedColormap.from_list(\"pass/fail\",[sns.color_palette(\"muted\")[2],sns.color_palette(\"muted\")[1]]),\n",
    "        annot=annotation,\n",
    "        fmt='',\n",
    "        annot_kws={\"size\":\"xx-small\"},\n",
    "        xticklabels=[test_names[t] for t in list(dataframe.columns)],\n",
    "        yticklabels=groups,\n",
    "        cbar=False\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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vb2JjYxk5ciRubm5VtsvIyGDq1Kns3LkTi8VC69atmThxIrVr1+bOO++kd+/e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\nvksMx5MAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x118e80e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "crucible_df = pd.read_csv(\"data/argonauts_performance_crucible.csv\")\n",
    "test_names = {\n",
    "    'argonautsprint1test':\"Sprint 1\",\n",
    "    'argonautsprint2test':\"Sprint 2\",\n",
    "    'argonautsprint3test':\"Sprint 3\",\n",
    "    'argonautsprint4test':\"Sprint 4\",\n",
    "    'argonautsprint5test':\"Sprint 5\",\n",
    "    'argonautsprint6test':\"Sprint 6\",\n",
    "    'argonautsprint7test':\"Sprint 7\",\n",
    "    'argonautresprint1test':\"Resprint 1\",\n",
    "    'argonautresprint2test':\"Resprint 2\",\n",
    "    'argonautresprint3test':\"Resprint 3\",\n",
    "    'dataaccessframeworkprofilestest':\"DAF Profiles\",\n",
    "    'argonautproviderconnectathontest':\"Argonaut Provider\",\n",
    "    'readtest':\"Read\",\n",
    "    'history001':\"History\"\n",
    "}\n",
    "\n",
    "argonauts_performance_table(crucible_df, test_names)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# NO AEGIS DATA"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [conda root]",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}