notebooks/data-sources/Bugzilla/bugzilla_EDA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "56c91b9e",
   "metadata": {},
   "source": [
    "# Bugzilla Data for CI Tests on Testgrid\n",
    "\n",
    "Currently, we are analyzing OpenShift CI test runs based on the raw run results data available on testgrid. However, we also want to analyze our CI process in terms of how many bugs we were able to discover, how severely these bugs impacted the product, how accurately did the tests pinpoint the problematic component, and so on. Additionally, having bug related data for the CI tests will also enable us to measure and track several KPIs.\n",
    "\n",
    "Therefore, in this notebook we will connect the two data sources: Bugzilla and Testgrid. First, we will identify which bugs are linked with each failing test. Then, we will get detailed information regarding each of these bugs from Red Hat Bugzilla."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "19471f9b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-04-06T21:23:27.273935Z",
     "start_time": "2021-04-06T21:23:27.269122Z"
    }
   },
   "outputs": [],
   "source": [
    "import sys\n",
    "import requests\n",
    "import datetime as dt\n",
    "from io import StringIO\n",
    "import multiprocessing as mp\n",
    "from bs4 import BeautifulSoup\n",
    "\n",
    "from tqdm import tqdm\n",
    "from wordcloud import WordCloud\n",
    "from dotenv import load_dotenv, find_dotenv\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "import bugzilla\n",
    "\n",
    "sys.path.insert(1, \"../TestGrid/metrics\")\n",
    "from ipynb.fs.defs.metric_template import save_to_disk  # noqa: E402"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "44b73d17",
   "metadata": {},
   "outputs": [],
   "source": [
    "# load env vars\n",
    "load_dotenv(find_dotenv())\n",
    "\n",
    "# tqdm extensions for pandas functions\n",
    "tqdm.pandas()\n",
    "\n",
    "# seaborn plot settings\n",
    "sns.set(rc={\"figure.figsize\": (15, 5)})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4caec781",
   "metadata": {},
   "outputs": [],
   "source": [
    "# current datetime\n",
    "current_dt = dt.datetime.now(tz=dt.timezone.utc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4f8f6e5a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['\"redhat-assisted-installer\"',\n",
       " '\"redhat-openshift-informing\"',\n",
       " '\"redhat-openshift-ocp-release-4.1-blocking\"',\n",
       " '\"redhat-openshift-ocp-release-4.1-informing\"',\n",
       " '\"redhat-openshift-ocp-release-4.2-blocking\"',\n",
       " '\"redhat-openshift-ocp-release-4.2-informing\"',\n",
       " '\"redhat-openshift-ocp-release-4.3-blocking\"',\n",
       " '\"redhat-openshift-ocp-release-4.3-broken\"',\n",
       " '\"redhat-openshift-ocp-release-4.3-informing\"',\n",
       " '\"redhat-openshift-ocp-release-4.4-blocking\"',\n",
       " '\"redhat-openshift-ocp-release-4.4-broken\"',\n",
       " '\"redhat-openshift-ocp-release-4.4-informing\"',\n",
       " '\"redhat-openshift-ocp-release-4.5-blocking\"',\n",
       " '\"redhat-openshift-ocp-release-4.5-broken\"',\n",
       " '\"redhat-openshift-ocp-release-4.5-informing\"',\n",
       " '\"redhat-openshift-ocp-release-4.6-blocking\"',\n",
       " '\"redhat-openshift-ocp-release-4.6-broken\"',\n",
       " '\"redhat-openshift-ocp-release-4.6-informing\"',\n",
       " '\"redhat-openshift-ocp-release-4.7-blocking\"',\n",
       " '\"redhat-openshift-ocp-release-4.7-broken\"',\n",
       " '\"redhat-openshift-ocp-release-4.7-informing\"',\n",
       " '\"redhat-openshift-ocp-release-4.8-blocking\"',\n",
       " '\"redhat-openshift-ocp-release-4.8-broken\"',\n",
       " '\"redhat-openshift-ocp-release-4.8-informing\"',\n",
       " '\"redhat-openshift-ocp-release-4.9-blocking\"',\n",
       " '\"redhat-openshift-ocp-release-4.9-informing\"',\n",
       " '\"redhat-openshift-okd-release-4.3-informing\"',\n",
       " '\"redhat-openshift-okd-release-4.4-informing\"',\n",
       " '\"redhat-openshift-okd-release-4.5-blocking\"',\n",
       " '\"redhat-openshift-okd-release-4.5-informing\"',\n",
       " '\"redhat-openshift-okd-release-4.6-blocking\"',\n",
       " '\"redhat-openshift-okd-release-4.6-informing\"',\n",
       " '\"redhat-openshift-okd-release-4.7-blocking\"',\n",
       " '\"redhat-openshift-okd-release-4.7-informing\"',\n",
       " '\"redhat-openshift-okd-release-4.8-blocking\"',\n",
       " '\"redhat-openshift-okd-release-4.8-informing\"',\n",
       " '\"redhat-openshift-okd-release-4.9-informing\"',\n",
       " '\"redhat-openshift-presubmit-master-gcp\"',\n",
       " '\"redhat-osd\"',\n",
       " '\"redhat-single-node\"']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get the red hat dashboard names\n",
    "response = requests.get(\n",
    "    \"https://testgrid.k8s.io/redhat-openshift-informing?id=dashboard-group-bar\"\n",
    ")\n",
    "html = BeautifulSoup(response.content)\n",
    "testgrid_script = html.findAll(\"script\")[3]\n",
    "testgrid_script = testgrid_script.text.split()[5].split(\",\")\n",
    "dashboard_names = [x.split(\":\")[1] for x in testgrid_script if \"name\" in x]\n",
    "dashboard_names"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a0926f6",
   "metadata": {},
   "source": [
    "## Get Linked Bugs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40af377a",
   "metadata": {},
   "source": [
    "In this section, we will first identify the linked and associated bugs for all the tests for all jobs under a given dashboard. Then, for the bug ids obtained from this step, we will fetch detailed bug information and better understand the structure and properties of the bugzilla data in the next section. At the end of this section, we'll collect the linked and associated bugs for all tests under each of the jobs displayed on testgrid, and then save this dataset for further analysis in another notebook.\n",
    "\n",
    "**NOTE** Running this procedure resulted in really long runtimes: ~30min for one job, >20hrs for all jobs. Therefore we parallelized the code and distributed the workload across multiple processes. This reduced the runtimes to ~1min and ~1hr respectively."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "39cbd359",
   "metadata": {},
   "outputs": [],
   "source": [
    "# manager to share objects across processes\n",
    "manager = mp.Manager()\n",
    "\n",
    "# number of max processes\n",
    "n_max_processes = mp.cpu_count()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c237b348",
   "metadata": {},
   "source": [
    "### Get Jobs under each Dashboard"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5cd14489",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<DictProxy object, typeid 'dict' at 0x7f8f4017c0a0>,\n",
       " '\"redhat-assisted-installer\"')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dict where key is dashboard name, value is list of jobs under that dashboard\n",
    "dashboard_jobs_dict = manager.dict()\n",
    "\n",
    "\n",
    "def get_jobs_in_dashboard(dj_dict_d_name_tuple):\n",
    "    \"\"\"Gets jobs listed under each dashboard.\n",
    "\n",
    "    :param dj_dict_d_name_tuple: (tuple) Tuple where the first element is the\n",
    "    shared dict where the result is to be stored and the second element is the\n",
    "    dashboard name\n",
    "\n",
    "    NOTE: If we want to have tqdm with a multiprocessing Pool, we need to use\n",
    "    pool.imap and thus have only one arg passed. Otherwise we can also split\n",
    "    the args into separate variables\n",
    "    \"\"\"\n",
    "    # unpack args\n",
    "    dj_dict, d_name = dj_dict_d_name_tuple\n",
    "\n",
    "    # get list of jobs\n",
    "    dj_dict[d_name] = tuple(\n",
    "        requests.get(f\"https://testgrid.k8s.io/{d_name}/summary\").json().keys()\n",
    "    )\n",
    "\n",
    "\n",
    "# list of args to be passed to the function. each process will take one element\n",
    "# from this list and call the function with it\n",
    "args = []\n",
    "for d in dashboard_names:\n",
    "    args.append(tuple([dashboard_jobs_dict, d]))\n",
    "args[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4572582b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 40/40 [00:02<00:00, 18.95it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "('periodic-ci-openshift-release-master-ci-4.2-e2e-aws-sdn-multitenant',\n",
       " 'periodic-ci-openshift-release-master-ci-4.2-e2e-gcp',\n",
       " 'periodic-ci-openshift-release-master-nightly-4.2-console-aws',\n",
       " 'periodic-ci-openshift-release-master-nightly-4.2-e2e-aws-fips',\n",
       " 'periodic-ci-openshift-release-master-nightly-4.2-e2e-aws-fips-serial',\n",
       " 'periodic-ci-openshift-release-master-nightly-4.2-e2e-azure',\n",
       " 'periodic-ci-openshift-release-master-nightly-4.2-e2e-azure-fips',\n",
       " 'periodic-ci-openshift-release-master-nightly-4.2-e2e-azure-fips-serial',\n",
       " 'periodic-ci-openshift-release-master-nightly-4.2-e2e-gcp',\n",
       " 'periodic-ci-openshift-release-master-nightly-4.2-e2e-gcp-fips',\n",
       " 'periodic-ci-openshift-release-master-nightly-4.2-e2e-gcp-fips-serial',\n",
       " 'promote-release-openshift-machine-os-content-e2e-aws-4.1',\n",
       " 'promote-release-openshift-machine-os-content-e2e-aws-4.2',\n",
       " 'promote-release-openshift-machine-os-content-e2e-aws-4.2-s390x',\n",
       " 'release-openshift-ocp-e2e-aws-scaleup-rhel7-4.2',\n",
       " 'release-openshift-ocp-installer-e2e-aws-mirrors-4.2',\n",
       " 'release-openshift-ocp-installer-e2e-aws-proxy-4.2',\n",
       " 'release-openshift-ocp-installer-e2e-aws-upi-4.2',\n",
       " 'release-openshift-ocp-installer-e2e-azure-serial-4.2',\n",
       " 'release-openshift-ocp-installer-e2e-gcp-serial-4.2',\n",
       " 'release-openshift-ocp-installer-e2e-metal-4.2',\n",
       " 'release-openshift-ocp-installer-e2e-metal-serial-4.2',\n",
       " 'release-openshift-origin-installer-e2e-aws-4.2-cnv',\n",
       " 'release-openshift-origin-installer-e2e-aws-upgrade-4.1-stable-to-4.2-ci',\n",
       " 'release-openshift-origin-installer-e2e-aws-upgrade-4.2-stable-to-4.2-nightly',\n",
       " 'release-openshift-origin-installer-e2e-aws-upgrade-rollback-4.1-to-4.2',\n",
       " 'release-openshift-origin-installer-e2e-aws-upgrade-rollback-4.2',\n",
       " 'release-openshift-origin-installer-e2e-azure-upgrade-4.2',\n",
       " 'release-openshift-origin-installer-e2e-gcp-serial-4.2',\n",
       " 'release-openshift-origin-installer-e2e-gcp-upgrade-4.2',\n",
       " 'release-openshift-origin-installer-old-rhcos-e2e-aws-4.2')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# spawn processes and run the function with each arg\n",
    "with mp.Pool(processes=n_max_processes) as pool:\n",
    "    _ = list(tqdm(pool.imap(get_jobs_in_dashboard, args), total=len(args)))\n",
    "\n",
    "# sanity check\n",
    "dashboard_jobs_dict._getvalue()['\"redhat-openshift-ocp-release-4.2-informing\"']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5273d67a",
   "metadata": {},
   "source": [
    "### Get Tests under each Job"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "fcbc8af1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<DictProxy object, typeid 'dict' at 0x7f8e6c309bb0>,\n",
       " ('\"redhat-assisted-installer\"',\n",
       "  'periodic-ci-openshift-release-master-nightly-4.6-e2e-metal-assisted'))"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dict where key is (dashboard,job), value is list of tests under that job\n",
    "job_tests_dict = manager.dict()\n",
    "\n",
    "\n",
    "def get_tests_in_job(jt_dict_dj_pair_tuple):\n",
    "    \"\"\"Gets tests run under each job.\n",
    "\n",
    "    :param jt_dict_dj_pair_tuple: (tuple) Tuple where the first element is the\n",
    "    shared dict where the result is to be stored and the second element is a\n",
    "    tuple of (dashboard, job)\n",
    "\n",
    "    NOTE: If we want to have tqdm with a multiprocessing Pool, we need to use\n",
    "    pool.imap and thus have only one arg passed. Otherwise we can also split\n",
    "    the args into separate variables\n",
    "    \"\"\"\n",
    "    # unpack args\n",
    "    jt_dict, dj_pair = jt_dict_dj_pair_tuple\n",
    "\n",
    "    # query testgrid for tests in dashboard, job\n",
    "    ret = requests.get(\n",
    "        f\"https://testgrid.k8s.io/{dj_pair[0]}/table?&show-stale-tests=&tab={dj_pair[1]}\"\n",
    "    )\n",
    "\n",
    "    # if valid response then add to dict, else print the names to debug\n",
    "    if ret.status_code == requests.codes.ok:\n",
    "        jt_dict[dj_pair] = [\n",
    "            t[\"name\"] for t in ret.json().get(\"tests\")  # , [{'name': None}])\n",
    "        ]\n",
    "    else:\n",
    "        print(\"non-successful status code for pair\", dj_pair)\n",
    "        jt_dict[dj_pair] = list()\n",
    "\n",
    "\n",
    "# list of args to be passed to the function. each process will take one element\n",
    "# from this list and call the function with it\n",
    "# NOTE: itertools can be used instead of nested for, but this is more readable\n",
    "args = []\n",
    "for d, jobs in dashboard_jobs_dict.items():\n",
    "    for j in jobs:\n",
    "        args.append(\n",
    "            tuple(\n",
    "                [\n",
    "                    job_tests_dict,  # first arg to function\n",
    "                    (d, j),  # second arg to function\n",
    "                ]\n",
    "            )\n",
    "        )\n",
    "args[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0acbab3c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 609/609 [00:38<00:00, 15.83it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['Overall',\n",
       " 'Operator results.operator conditions monitoring',\n",
       " 'operator.Run multi-stage test e2e-gcp - e2e-gcp-ipi-install-install container test',\n",
       " 'operator.Run multi-stage test e2e-gcp - e2e-gcp-gather-must-gather container test',\n",
       " 'Pod',\n",
       " 'operator.Run multi-stage test e2e-gcp',\n",
       " 'job.initialize',\n",
       " 'operator.Run multi-stage test e2e-*** - e2e-***-ipi-install-install container test',\n",
       " 'Operator results.operator conditions image-registry',\n",
       " 'Operator results.operator conditions authentication',\n",
       " 'Operator results.operator conditions cloud-credential',\n",
       " 'Operator results.operator conditions cluster-autoscaler',\n",
       " 'Operator results.operator conditions console',\n",
       " 'Operator results.operator conditions dns',\n",
       " 'Operator results.operator conditions ingress',\n",
       " 'Operator results.operator conditions insights',\n",
       " 'Operator results.operator conditions kube-apiserver',\n",
       " 'Operator results.operator conditions kube-controller-manager',\n",
       " 'Operator results.operator conditions kube-scheduler',\n",
       " 'Operator results.operator conditions machine-api',\n",
       " 'Operator results.operator conditions machine-config',\n",
       " 'Operator results.operator conditions marketplace',\n",
       " 'Operator results.operator conditions network',\n",
       " 'Operator results.operator conditions node-tuning',\n",
       " 'Operator results.operator conditions openshift-apiserver',\n",
       " 'Operator results.operator conditions openshift-controller-manager',\n",
       " 'Operator results.operator conditions openshift-samples',\n",
       " 'Operator results.operator conditions operator-lifecycle-manager',\n",
       " 'Operator results.operator conditions operator-lifecycle-manager-catalog',\n",
       " 'Operator results.operator conditions operator-lifecycle-manager-packageserver',\n",
       " 'Operator results.operator conditions service-ca',\n",
       " 'Operator results.operator conditions service-catalog-apiserver',\n",
       " 'Operator results.operator conditions service-catalog-controller-manager',\n",
       " 'Operator results.operator conditions storage',\n",
       " 'Symptom Detection.Bug 1812261: iptables is segfaulting',\n",
       " 'Symptom Detection.Infrastructure - AWS simulate policy rate-limit',\n",
       " 'Symptom Detection.Infrastructure - GCP quota exceeded (route to forum-gcp)',\n",
       " 'Symptom Detection.Node process segfaulted',\n",
       " 'Symptom Detection.Undiagnosed panic detected in journal',\n",
       " 'Symptom Detection.Undiagnosed panic detected in pod',\n",
       " 'operator.All images are built and tagged into stable',\n",
       " 'operator.Find the input image ocp-4.5-upi-installer and tag it into the pipeline',\n",
       " 'operator.Find the input image origin-centos-8 and tag it into the pipeline',\n",
       " 'operator.Import the release payload \"latest\" from an external source',\n",
       " 'operator.Run multi-stage test e2e-*** - e2e-***-gather-***-console container test',\n",
       " 'operator.Run multi-stage test e2e-*** - e2e-***-gather-audit-logs container test',\n",
       " 'operator.Run multi-stage test e2e-*** - e2e-***-gather-core-dump container test',\n",
       " 'operator.Run multi-stage test e2e-*** - e2e-***-gather-extra container test',\n",
       " 'operator.Run multi-stage test e2e-*** - e2e-***-gather-must-gather container test',\n",
       " 'operator.Run multi-stage test e2e-*** - e2e-***-ipi-conf container test',\n",
       " 'operator.Run multi-stage test e2e-*** - e2e-***-ipi-conf-*** container test',\n",
       " 'operator.Run multi-stage test e2e-*** - e2e-***-ipi-deprovision-deprovision container test',\n",
       " 'operator.Run multi-stage test e2e-*** - e2e-***-ipi-install-monitoringpvc container test',\n",
       " 'operator.Run multi-stage test e2e-*** - e2e-***-ipi-install-rbac container test',\n",
       " 'operator.Run multi-stage test e2e-gcp - e2e-gcp-gather-audit-logs container test',\n",
       " 'operator.Run multi-stage test e2e-gcp - e2e-gcp-gather-core-dump container test',\n",
       " 'operator.Run multi-stage test e2e-gcp - e2e-gcp-gather-extra container test',\n",
       " 'operator.Run multi-stage test e2e-gcp - e2e-gcp-gather-gcp-console container test',\n",
       " 'operator.Run multi-stage test e2e-gcp - e2e-gcp-ipi-conf container test',\n",
       " 'operator.Run multi-stage test e2e-gcp - e2e-gcp-ipi-conf-gcp container test',\n",
       " 'operator.Run multi-stage test e2e-gcp - e2e-gcp-ipi-deprovision-deprovision container test',\n",
       " 'operator.Run multi-stage test e2e-gcp - e2e-gcp-ipi-install-monitoringpvc container test',\n",
       " 'operator.Run multi-stage test e2e-gcp - e2e-gcp-ipi-install-rbac container test']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# spawn processes and run the function with each arg\n",
    "with mp.Pool(processes=n_max_processes) as pool:\n",
    "    _ = list(tqdm(pool.imap(get_tests_in_job, args), total=len(args)))\n",
    "\n",
    "# sanity check\n",
    "job_tests_dict._getvalue()[\n",
    "    (\n",
    "        '\"redhat-openshift-ocp-release-4.2-informing\"',\n",
    "        \"periodic-ci-openshift-release-master-ci-4.2-e2e-gcp\",\n",
    "    )\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ba0eef0",
   "metadata": {},
   "source": [
    "### Get Linked Bugs under each Test for a Given Dashboard"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "01c474b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# get bugs linked at timestamps up to this amount of time before today\n",
    "max_age = \"336h\"\n",
    "\n",
    "# ci details search url\n",
    "url = \"https://search.ci.openshift.org/\"\n",
    "\n",
    "sample_dashboard = '\"redhat-openshift-ocp-release-4.2-informing\"'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "4e1ffee9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<DictProxy object, typeid 'dict' at 0x7f8f22042d90>,\n",
       " ('\"redhat-openshift-ocp-release-4.2-informing\"',\n",
       "  'periodic-ci-openshift-release-master-ci-4.2-e2e-aws-sdn-multitenant',\n",
       "  'Overall'))"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dict where key is (dashboard, job, test), value is list of related bugs\n",
    "djt_linked_bugs_dict = manager.dict()\n",
    "\n",
    "\n",
    "def get_bugs_in_test(args_tuple):\n",
    "    \"\"\"Gets linked and associated bugs for each test+job.\n",
    "\n",
    "    Queries the search.ci.openshift website just like the sippy setup does in\n",
    "    its findBug function defined here:\n",
    "    https://github.com/openshift/sippy/blob/1a44268082fc600d69771f95a96b4132c9b84285/pkg/buganalysis/cache.go#L230\n",
    "\n",
    "    :param args_tuple: (tuple) Tuple where the first element is the\n",
    "    shared dict where the result is to be stored and the second element is a\n",
    "    tuple of (dashboard, job, test)\n",
    "\n",
    "    NOTE: If we want to have tqdm with a multiprocessing Pool, we need to use\n",
    "    pool.imap and thus have only one arg passed. Otherwise we can also split\n",
    "    the args into separate variables\n",
    "    \"\"\"\n",
    "    # unpack\n",
    "    djt_linked_bugs, djt_tuple = args_tuple\n",
    "\n",
    "    # search for linked and associated bugs for this test\n",
    "    # DO NOT AJAX,MOBILE. THIS HACK PREVENTS REQUEST TIME OUT.\n",
    "    # read more here - https://stackoverflow.com/a/63377265/9743348\n",
    "    response = requests.post(\n",
    "        \"https://search.ci.openshift.org/\",\n",
    "        data={\n",
    "            \"type\": \"bug+junit\",\n",
    "            \"context\": \"-1\",\n",
    "            \"name\": djt_tuple[1],\n",
    "            \"maxAge\": \"336h\",\n",
    "            \"ajax\": \"true\",\n",
    "            \"mobile\": \"false\",\n",
    "            \"search\": djt_tuple[2]\n",
    "            .split(\".\", maxsplit=1)[-1]\n",
    "            .replace(\"[\", r\"\\[\")\n",
    "            .replace(\"]\", r\"\\]\"),\n",
    "        },\n",
    "    )\n",
    "    soup = BeautifulSoup(response.content)\n",
    "\n",
    "    # the \"em\" objects in soup have information that can tell us\n",
    "    # whether or not this test had a linked bug for the given job name\n",
    "    em_objects = soup.find_all(\"em\")\n",
    "    pct_affected = 0\n",
    "    for em in em_objects:\n",
    "        if \"Found\" in em.text:\n",
    "            pct_affected = float(em.text.split()[2][:-1])\n",
    "            break\n",
    "\n",
    "    # init to empty for this test result / reset to empty from previous test result\n",
    "    test_bugs = []\n",
    "\n",
    "    # if percent jobs affected is 0 then the linked bugs correspond to another job\n",
    "    if pct_affected > 0:\n",
    "        result_rows = soup.find(\"table\").find(\"tbody\").find_all(\"tr\")\n",
    "        for row in result_rows:\n",
    "            column_values = row.find_all(\"td\")\n",
    "\n",
    "            # if there is only 1 column then the result is a junit, not bug\n",
    "            if len(column_values) > 1:\n",
    "                # check the second column to make sure its a bug, not junit details\n",
    "                if column_values[1].text == \"bug\":\n",
    "                    test_bugs.append(column_values[0].text[1:])\n",
    "\n",
    "    djt_linked_bugs[djt_tuple] = test_bugs\n",
    "\n",
    "\n",
    "# list of args to be passed to the function. each process will take one element\n",
    "# from this list and call the function with it\n",
    "# NOTE: this double for loop can be done via itertools too but this is more readable\n",
    "args = []\n",
    "for djpair, tests in job_tests_dict.items():\n",
    "    if djpair[0] == sample_dashboard:\n",
    "        for t in tests:\n",
    "            args.append(\n",
    "                tuple(\n",
    "                    [\n",
    "                        djt_linked_bugs_dict,  # first arg to function\n",
    "                        (*djpair, t),  # second arg to function\n",
    "                    ]\n",
    "                )\n",
    "            )\n",
    "args[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "afe2d1af",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 3581/3581 [00:39<00:00, 90.51it/s] \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['1936859']"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# spawn processes and run the function with each arg\n",
    "with mp.Pool(processes=n_max_processes) as pool:\n",
    "    _ = list(tqdm(pool.imap(get_bugs_in_test, args), total=len(args)))\n",
    "\n",
    "# sanity check\n",
    "djt_linked_bugs_dict._getvalue()[\n",
    "    (\n",
    "        '\"redhat-openshift-ocp-release-4.2-informing\"',\n",
    "        \"periodic-ci-openshift-release-master-ci-4.2-e2e-aws-sdn-multitenant\",\n",
    "        \"Operator results.operator conditions monitoring\",\n",
    "    )\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "fb03919c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Out of 3581 rows, 64 had non-empty linked bugs\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dashboard</th>\n",
       "      <th>job</th>\n",
       "      <th>test_name</th>\n",
       "      <th>bug_ids</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>\"redhat-openshift-ocp-release-4.2-informing\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-ci-4.2-e2...</td>\n",
       "      <td>Operator results.operator conditions monitoring</td>\n",
       "      <td>[1936859]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>\"redhat-openshift-ocp-release-4.2-informing\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-ci-4.2-e2...</td>\n",
       "      <td>job.initialize</td>\n",
       "      <td>[1910801, 1927244, 1908880, 1914794, 1951808, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>\"redhat-openshift-ocp-release-4.2-informing\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-ci-4.2-e2...</td>\n",
       "      <td>Operator results.operator conditions monitoring</td>\n",
       "      <td>[1936859]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>\"redhat-openshift-ocp-release-4.2-informing\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-ci-4.2-e2...</td>\n",
       "      <td>job.initialize</td>\n",
       "      <td>[1880960, 1947067, 1915760, 1883991, 1851874, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>\"redhat-openshift-ocp-release-4.2-informing\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>Operator results.operator conditions monitoring</td>\n",
       "      <td>[1936859]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        dashboard  \\\n",
       "14   \"redhat-openshift-ocp-release-4.2-informing\"   \n",
       "18   \"redhat-openshift-ocp-release-4.2-informing\"   \n",
       "60   \"redhat-openshift-ocp-release-4.2-informing\"   \n",
       "66   \"redhat-openshift-ocp-release-4.2-informing\"   \n",
       "111  \"redhat-openshift-ocp-release-4.2-informing\"   \n",
       "\n",
       "                                                   job  \\\n",
       "14   periodic-ci-openshift-release-master-ci-4.2-e2...   \n",
       "18   periodic-ci-openshift-release-master-ci-4.2-e2...   \n",
       "60   periodic-ci-openshift-release-master-ci-4.2-e2...   \n",
       "66   periodic-ci-openshift-release-master-ci-4.2-e2...   \n",
       "111  periodic-ci-openshift-release-master-nightly-4...   \n",
       "\n",
       "                                           test_name  \\\n",
       "14   Operator results.operator conditions monitoring   \n",
       "18                                    job.initialize   \n",
       "60   Operator results.operator conditions monitoring   \n",
       "66                                    job.initialize   \n",
       "111  Operator results.operator conditions monitoring   \n",
       "\n",
       "                                               bug_ids  \n",
       "14                                           [1936859]  \n",
       "18   [1910801, 1927244, 1908880, 1914794, 1951808, ...  \n",
       "60                                           [1936859]  \n",
       "66   [1880960, 1947067, 1915760, 1883991, 1851874, ...  \n",
       "111                                          [1936859]  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set of ALL bugs observed for this dashboard\n",
    "all_bugs = set()\n",
    "\n",
    "# flattened list. each element is (dashboard, job, test, list-of-bugs)\n",
    "djt_linked_bugs_list = []\n",
    "for k, v in djt_linked_bugs_dict.items():\n",
    "\n",
    "    djt_linked_bugs_list.append(tuple([*k, v]))\n",
    "    all_bugs.update(v)\n",
    "\n",
    "# convert results to df\n",
    "linked_bugs_df = pd.DataFrame(\n",
    "    djt_linked_bugs_list, columns=[\"dashboard\", \"job\", \"test_name\", \"bug_ids\"]\n",
    ")\n",
    "\n",
    "# drop rows where there are no linked bugs\n",
    "has_linked_bugs = linked_bugs_df[\"bug_ids\"].apply(len) > 0\n",
    "print(\n",
    "    f\"Out of {len(has_linked_bugs)} rows, {has_linked_bugs.sum()} had non-empty linked bugs\"\n",
    ")\n",
    "linked_bugs_df = linked_bugs_df[has_linked_bugs]\n",
    "\n",
    "linked_bugs_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5cbac95c",
   "metadata": {},
   "source": [
    "### Get Linked Bugs under each Test for All Dashboards"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "38bd8a81",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 338676/338676 [1:02:25<00:00, 90.41it/s] \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# init as empty dict. key is (dashboard, job, test) and value is the list of related bugs\n",
    "djt_linked_bugs_dict = manager.dict()\n",
    "\n",
    "# list of args to be passed to the function\n",
    "# this time, we will get linked bugs for all tests in ALL dashboards, not just one\n",
    "args = []\n",
    "for djpair, tests in job_tests_dict.items():\n",
    "    for t in tests:\n",
    "        args.append(\n",
    "            tuple(\n",
    "                [\n",
    "                    djt_linked_bugs_dict,  # first arg to function\n",
    "                    (*djpair, t),  # second arg to function\n",
    "                ]\n",
    "            )\n",
    "        )\n",
    "\n",
    "# spawn processes and run the function with each arg\n",
    "with mp.Pool(processes=n_max_processes) as pool:\n",
    "    _ = list(tqdm(pool.imap(get_bugs_in_test, args), total=len(args)))\n",
    "\n",
    "# flattened list. each element is (dashboard, job, test, list-of-bugs)\n",
    "djt_linked_bugs_list = []\n",
    "for k, v in djt_linked_bugs_dict.items():\n",
    "    djt_linked_bugs_list.append(tuple([*k, v]))\n",
    "\n",
    "# convert results to df\n",
    "linked_bugs_df = pd.DataFrame(\n",
    "    djt_linked_bugs_list, columns=[\"dashboard\", \"job\", \"test_name\", \"bug_ids\"]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "99b50453",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Out of 338676 rows, 8225 had non-empty linked bugs\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# drop rows where there are no linked bugs\n",
    "has_linked_bugs = linked_bugs_df[\"bug_ids\"].apply(len) > 0\n",
    "print(\n",
    "    f\"Out of {len(has_linked_bugs)} rows, {has_linked_bugs.sum()} had non-empty linked bugs\"\n",
    ")\n",
    "linked_bugs_df = linked_bugs_df[has_linked_bugs]\n",
    "\n",
    "# save df\n",
    "save_to_disk(\n",
    "    linked_bugs_df,\n",
    "    \"../../../data/raw/\",\n",
    "    f\"linked-bugs-{current_dt.year}-{current_dt.month}-{current_dt.day}.parquet\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6752c1ac",
   "metadata": {},
   "source": [
    "## Get Bugzilla Details\n",
    "\n",
    "In this section, we will get details for the bug ids collected for the sample dashboard in the above section. We will fetch all the available metadata fields for each bug, and but only explore the values in some of these fields. We will perform the meticulous exploratory analysis for all of the available Bugzilla fields in a future notebook. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "2a6ae62b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['bugzilla', '_rawdata', 'autorefresh', '_aliases', 'priority', 'cf_last_closed', 'creator', 'blocks', 'assigned_to_detail', 'last_change_time', 'comments', 'is_cc_accessible', 'keywords', 'creator_detail', 'cc', 'see_also', 'groups', 'assigned_to', 'url', 'qa_contact', 'creation_time', 'whiteboard', 'id', 'depends_on', 'cf_target_upstream_version', 'docs_contact', 'description', 'qa_contact_detail', 'resolution', 'classification', 'cf_doc_type', 'alias', 'op_sys', 'target_release', 'status', 'cc_detail', 'cf_clone_of', 'external_bugs', 'summary', 'is_open', 'platform', 'severity', 'cf_environment', 'flags', 'version', 'tags', 'component', 'sub_components', 'is_creator_accessible', 'cf_release_notes', 'product', 'target_milestone', 'is_confirmed', 'components', 'versions', 'sub_component', 'fixed_in', 'weburl'])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# connector object to talk to bugzilla\n",
    "bzapi = bugzilla.Bugzilla(\"bugzilla.redhat.com\")\n",
    "\n",
    "# look at a sample bug - what properties does this object have?\n",
    "samplebug = bzapi.getbug(1883345)\n",
    "vars(samplebug).keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3038a64c",
   "metadata": {},
   "source": [
    "**NOTE** The above shows what fields/properties related to each bugzilla we have available.\n",
    "Upon a bit of investigating we found that\n",
    "- `_rawdata` just contains the information already captured in other fields in a json format, and thus is redundant\n",
    "- `bugzilla` attribute is depracated / old representation used in the python-bugzilla library, and thus is not useful for analysis\n",
    "- `_aliases` is a mapping of synonyms for some of the fields, and thus is not useful for analysis\n",
    "- The following properties didn't exist for most bugs (it's not that these properties has empty values, it's that the properties themselves didn't exist as a field for most objects of the Bugzilla class):\n",
    "    - `qa_contact_detail`\n",
    "    - `cf_last_closed`\n",
    "    - `cf_clone_of`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c44e77cf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['autorefresh',\n",
       " 'priority',\n",
       " 'creator',\n",
       " 'blocks',\n",
       " 'assigned_to_detail',\n",
       " 'last_change_time',\n",
       " 'comments',\n",
       " 'is_cc_accessible',\n",
       " 'keywords',\n",
       " 'creator_detail',\n",
       " 'cc',\n",
       " 'see_also',\n",
       " 'groups',\n",
       " 'assigned_to',\n",
       " 'url',\n",
       " 'qa_contact',\n",
       " 'creation_time',\n",
       " 'whiteboard',\n",
       " 'id',\n",
       " 'depends_on',\n",
       " 'cf_target_upstream_version',\n",
       " 'docs_contact',\n",
       " 'description',\n",
       " 'resolution',\n",
       " 'classification',\n",
       " 'cf_doc_type',\n",
       " 'alias',\n",
       " 'op_sys',\n",
       " 'target_release',\n",
       " 'status',\n",
       " 'cc_detail',\n",
       " 'external_bugs',\n",
       " 'summary',\n",
       " 'is_open',\n",
       " 'platform',\n",
       " 'severity',\n",
       " 'cf_environment',\n",
       " 'flags',\n",
       " 'version',\n",
       " 'tags',\n",
       " 'component',\n",
       " 'sub_components',\n",
       " 'is_creator_accessible',\n",
       " 'cf_release_notes',\n",
       " 'product',\n",
       " 'target_milestone',\n",
       " 'is_confirmed',\n",
       " 'components',\n",
       " 'versions',\n",
       " 'sub_component',\n",
       " 'fixed_in',\n",
       " 'weburl']"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get all the available fields, except the depracated and duplicate ones\n",
    "bug_details_to_get = list(vars(samplebug).keys())\n",
    "bug_details_to_get.remove(\"_rawdata\")\n",
    "bug_details_to_get.remove(\"bugzilla\")\n",
    "bug_details_to_get.remove(\"_aliases\")\n",
    "\n",
    "# these two keys are msissing for a lot of bugs\n",
    "bug_details_to_get.remove(\"qa_contact_detail\")\n",
    "bug_details_to_get.remove(\"cf_last_closed\")\n",
    "bug_details_to_get.remove(\"cf_clone_of\")\n",
    "\n",
    "bug_details_to_get"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "77e7a505",
   "metadata": {},
   "outputs": [
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       "      <th>cf_release_notes</th>\n",
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       "      <th>versions</th>\n",
       "      <th>sub_component</th>\n",
       "      <th>fixed_in</th>\n",
       "      <th>weburl</th>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1901472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1772295</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1905680</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 53 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    bug_id autorefresh priority creator blocks assigned_to_detail  \\\n",
       "0  1936780         NaN      NaN     NaN    NaN                NaN   \n",
       "1  1866023         NaN      NaN     NaN    NaN                NaN   \n",
       "2  1901472         NaN      NaN     NaN    NaN                NaN   \n",
       "3  1772295         NaN      NaN     NaN    NaN                NaN   \n",
       "4  1905680         NaN      NaN     NaN    NaN                NaN   \n",
       "\n",
       "  last_change_time comments is_cc_accessible keywords  ...  \\\n",
       "0              NaN      NaN              NaN      NaN  ...   \n",
       "1              NaN      NaN              NaN      NaN  ...   \n",
       "2              NaN      NaN              NaN      NaN  ...   \n",
       "3              NaN      NaN              NaN      NaN  ...   \n",
       "4              NaN      NaN              NaN      NaN  ...   \n",
       "\n",
       "  is_creator_accessible cf_release_notes product target_milestone  \\\n",
       "0                   NaN              NaN     NaN              NaN   \n",
       "1                   NaN              NaN     NaN              NaN   \n",
       "2                   NaN              NaN     NaN              NaN   \n",
       "3                   NaN              NaN     NaN              NaN   \n",
       "4                   NaN              NaN     NaN              NaN   \n",
       "\n",
       "  is_confirmed components versions sub_component fixed_in weburl  \n",
       "0          NaN        NaN      NaN           NaN      NaN    NaN  \n",
       "1          NaN        NaN      NaN           NaN      NaN    NaN  \n",
       "2          NaN        NaN      NaN           NaN      NaN    NaN  \n",
       "3          NaN        NaN      NaN           NaN      NaN    NaN  \n",
       "4          NaN        NaN      NaN           NaN      NaN    NaN  \n",
       "\n",
       "[5 rows x 53 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create a df containing details of all linked and associated bugs\n",
    "bugs_df = pd.DataFrame(\n",
    "    columns=[\"bug_id\"] + bug_details_to_get, index=range(len(all_bugs))\n",
    ")\n",
    "bugs_df = bugs_df.assign(bug_id=all_bugs)\n",
    "bugs_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "25ec3743",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2957/2957 [32:38<00:00,  1.51it/s]  \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bug_id</th>\n",
       "      <th>autorefresh</th>\n",
       "      <th>priority</th>\n",
       "      <th>creator</th>\n",
       "      <th>blocks</th>\n",
       "      <th>assigned_to_detail</th>\n",
       "      <th>last_change_time</th>\n",
       "      <th>comments</th>\n",
       "      <th>is_cc_accessible</th>\n",
       "      <th>keywords</th>\n",
       "      <th>...</th>\n",
       "      <th>is_creator_accessible</th>\n",
       "      <th>cf_release_notes</th>\n",
       "      <th>product</th>\n",
       "      <th>target_milestone</th>\n",
       "      <th>is_confirmed</th>\n",
       "      <th>components</th>\n",
       "      <th>versions</th>\n",
       "      <th>sub_component</th>\n",
       "      <th>fixed_in</th>\n",
       "      <th>weburl</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1936780</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1866023</td>\n",
       "      <td>False</td>\n",
       "      <td>medium</td>\n",
       "      <td>Noam Manos</td>\n",
       "      <td>[]</td>\n",
       "      <td>{'real_name': 'Harshal Patil', 'email': 'harpa...</td>\n",
       "      <td>20201211T04:08:02</td>\n",
       "      <td>[{'is_private': False, 'count': 0, 'creator': ...</td>\n",
       "      <td>True</td>\n",
       "      <td>[Reopened]</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>OpenShift Container Platform</td>\n",
       "      <td>---</td>\n",
       "      <td>True</td>\n",
       "      <td>[Node]</td>\n",
       "      <td>[4.4]</td>\n",
       "      <td>Kubelet</td>\n",
       "      <td></td>\n",
       "      <td>https://bugzilla.redhat.com/show_bug.cgi?id=18...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1901472</td>\n",
       "      <td>False</td>\n",
       "      <td>high</td>\n",
       "      <td>Martin André</td>\n",
       "      <td>[]</td>\n",
       "      <td>{'real_name': 'Martin André', 'email': 'm.andr...</td>\n",
       "      <td>20210224T15:36:19</td>\n",
       "      <td>[{'is_private': False, 'count': 0, 'creator': ...</td>\n",
       "      <td>True</td>\n",
       "      <td>[UpcomingSprint]</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>OpenShift Container Platform</td>\n",
       "      <td>---</td>\n",
       "      <td>True</td>\n",
       "      <td>[Machine Config Operator]</td>\n",
       "      <td>[4.7]</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>https://bugzilla.redhat.com/show_bug.cgi?id=19...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1772295</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1905680</td>\n",
       "      <td>False</td>\n",
       "      <td>high</td>\n",
       "      <td>Mike Fiedler</td>\n",
       "      <td>[1906033]</td>\n",
       "      <td>{'real_name': 'OVN Team', 'email': 'ovnteam', ...</td>\n",
       "      <td>20210127T10:43:37</td>\n",
       "      <td>[{'is_private': False, 'count': 0, 'creator': ...</td>\n",
       "      <td>True</td>\n",
       "      <td>[]</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>Red Hat Enterprise Linux Fast Datapath</td>\n",
       "      <td>---</td>\n",
       "      <td>True</td>\n",
       "      <td>[ovn2.13]</td>\n",
       "      <td>[RHEL 8.0]</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>https://bugzilla.redhat.com/show_bug.cgi?id=19...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 53 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    bug_id autorefresh priority       creator     blocks  \\\n",
       "0  1936780         NaN      NaN           NaN        NaN   \n",
       "1  1866023       False   medium    Noam Manos         []   \n",
       "2  1901472       False     high  Martin André         []   \n",
       "3  1772295         NaN      NaN           NaN        NaN   \n",
       "4  1905680       False     high  Mike Fiedler  [1906033]   \n",
       "\n",
       "                                  assigned_to_detail   last_change_time  \\\n",
       "0                                                NaN                NaN   \n",
       "1  {'real_name': 'Harshal Patil', 'email': 'harpa...  20201211T04:08:02   \n",
       "2  {'real_name': 'Martin André', 'email': 'm.andr...  20210224T15:36:19   \n",
       "3                                                NaN                NaN   \n",
       "4  {'real_name': 'OVN Team', 'email': 'ovnteam', ...  20210127T10:43:37   \n",
       "\n",
       "                                            comments is_cc_accessible  \\\n",
       "0                                                NaN              NaN   \n",
       "1  [{'is_private': False, 'count': 0, 'creator': ...             True   \n",
       "2  [{'is_private': False, 'count': 0, 'creator': ...             True   \n",
       "3                                                NaN              NaN   \n",
       "4  [{'is_private': False, 'count': 0, 'creator': ...             True   \n",
       "\n",
       "           keywords  ... is_creator_accessible cf_release_notes  \\\n",
       "0               NaN  ...                   NaN              NaN   \n",
       "1        [Reopened]  ...                  True                    \n",
       "2  [UpcomingSprint]  ...                  True                    \n",
       "3               NaN  ...                   NaN              NaN   \n",
       "4                []  ...                  True                    \n",
       "\n",
       "                                  product target_milestone is_confirmed  \\\n",
       "0                                     NaN              NaN          NaN   \n",
       "1            OpenShift Container Platform              ---         True   \n",
       "2            OpenShift Container Platform              ---         True   \n",
       "3                                     NaN              NaN          NaN   \n",
       "4  Red Hat Enterprise Linux Fast Datapath              ---         True   \n",
       "\n",
       "                  components    versions sub_component fixed_in  \\\n",
       "0                        NaN         NaN           NaN      NaN   \n",
       "1                     [Node]       [4.4]       Kubelet            \n",
       "2  [Machine Config Operator]       [4.7]                          \n",
       "3                        NaN         NaN           NaN      NaN   \n",
       "4                  [ovn2.13]  [RHEL 8.0]                          \n",
       "\n",
       "                                              weburl  \n",
       "0                                                NaN  \n",
       "1  https://bugzilla.redhat.com/show_bug.cgi?id=18...  \n",
       "2  https://bugzilla.redhat.com/show_bug.cgi?id=19...  \n",
       "3                                                NaN  \n",
       "4  https://bugzilla.redhat.com/show_bug.cgi?id=19...  \n",
       "\n",
       "[5 rows x 53 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def fill_bug_details(bug_row):\n",
    "    \"\"\"\n",
    "    Populate details for each bug\n",
    "    \"\"\"\n",
    "    global bzapi\n",
    "\n",
    "    try:\n",
    "        bug = bzapi.getbug(bug_row.bug_id)\n",
    "    except Exception:\n",
    "        return bug_row\n",
    "\n",
    "    for detail in bug_row.index:\n",
    "        try:\n",
    "            bug_row[detail] = getattr(bug, detail)\n",
    "        except AttributeError:\n",
    "            print(detail)\n",
    "\n",
    "    return bug_row\n",
    "\n",
    "\n",
    "bugs_df.progress_apply(fill_bug_details, axis=1)\n",
    "bugs_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "f26ed2c9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# custom converting each column into a dtype that pyarrow can work with is tricky\n",
    "# as a hack, we'll convert the df to a csv (in a buffer) and then read that csv\n",
    "# so that pandas does the type comprehension by itself\n",
    "buffer = StringIO()\n",
    "bugs_df.to_csv(buffer, index=False)\n",
    "\n",
    "buffer.seek(0)\n",
    "bugs_df = pd.read_csv(buffer)\n",
    "\n",
    "# save raw data\n",
    "save_to_disk(\n",
    "    bugs_df,\n",
    "    \"../../../data/raw/\",\n",
    "    f\"bug-details-{current_dt.year}-{current_dt.month}-{current_dt.day}.parquet\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4eccf6c",
   "metadata": {},
   "source": [
    "## Inspect Bug Metadata\n",
    "\n",
    "In this section, we will look into some of the metadata fields available in bugzilla. We will not go through every field, but rather the ones that seem more important features of a bug.\n",
    "\n",
    "To learn more about what each of these fields represents, please check out the official docs at [Bugzilla](https://bugzilla.readthedocs.io/en/latest/using/understanding.html), [Red Hat Bugzilla](https://bugzilla.redhat.com/docs/en/html/using/understanding.html), or [python-bugzilla](https://github.com/python-bugzilla/python-bugzilla/blob/82972796cf04f1ac06525670c272465a66d77da1/man/bugzilla.rst#global-options)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7eeecf3b",
   "metadata": {},
   "source": [
    "### priority\n",
    "\n",
    "The priority field is used to prioritize bugs, either by the assignee, or someone else with authority to direct their time such as a project manager."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "c8593fba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "unspecified    945\n",
       "high           702\n",
       "medium         637\n",
       "low            267\n",
       "urgent         264\n",
       "Name: priority, dtype: int64"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vc = bugs_df[\"priority\"].value_counts()\n",
    "vc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "d2892a69",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vc.plot(kind=\"bar\")\n",
    "plt.xlabel(\"Priority Label\")\n",
    "plt.ylabel(\"Number of Bugs\")\n",
    "plt.title(\"Bug distribution across different Priority Labels\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cef5f5c6",
   "metadata": {},
   "source": [
    "### blocks\n",
    "The blocks field lists the bugs that are blocked by this particular bug."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "c4a33fbf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2      2052\n",
       "9       589\n",
       "0       142\n",
       "18      133\n",
       "27       27\n",
       "36        7\n",
       "45        4\n",
       "54        1\n",
       "63        1\n",
       "351       1\n",
       "Name: blocks, dtype: int64"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_n_blocked(blockedlist):\n",
    "    try:\n",
    "        return len(blockedlist)\n",
    "    except TypeError:\n",
    "        return 0\n",
    "\n",
    "\n",
    "nblocked = bugs_df[\"blocks\"].apply(get_n_blocked)\n",
    "nblocked.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "adb8e498",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nblocked.plot(kind=\"hist\", bins=50)\n",
    "plt.xlabel(\"Number of Bugs Blocked\")\n",
    "plt.ylabel(\"Number of Bugs\")\n",
    "plt.title(\"Bug distribution across different Number of Bugs Blocked\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "075bbc28",
   "metadata": {},
   "source": [
    "### last_change_time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "4099ac42",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                      NaT\n",
       "1      2020-12-11 04:08:02\n",
       "2      2021-02-24 15:36:19\n",
       "3                      NaT\n",
       "4      2021-01-27 10:43:37\n",
       "               ...        \n",
       "2952   2021-01-12 15:18:40\n",
       "2953   2021-02-24 15:58:07\n",
       "2954   2021-03-16 19:37:14\n",
       "2955   2021-01-06 22:34:45\n",
       "2956   2021-04-05 17:55:02\n",
       "Name: last_change_time, Length: 2957, dtype: datetime64[ns]"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "last_change_time = pd.to_datetime(bugs_df[\"last_change_time\"])\n",
    "last_change_time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "2c979367",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "last_change_time.hist()\n",
    "plt.xlabel(\"Last Change Date\")\n",
    "plt.ylabel(\"Number of Bugs\")\n",
    "plt.title(\"Bug distribution across different Last Change Dates\")\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c2fce8ac",
   "metadata": {},
   "source": [
    "### keywords"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "e5130c3f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]                                                                                1966\n",
       "['Reopened']                                                                       170\n",
       "['Upgrades']                                                                       168\n",
       "['UpcomingSprint']                                                                 123\n",
       "['TestBlocker']                                                                     54\n",
       "                                                                                  ... \n",
       "['Performance']                                                                      1\n",
       "['Triaged', 'Upgrades']                                                              1\n",
       "['RFE', 'UpcomingSprint']                                                            1\n",
       "['Regression', 'ServiceDeliveryBlocker', 'UpgradeBlocker', 'Upgrades']               1\n",
       "['Regression', 'Reopened', 'ServiceDeliveryImpact', 'TestBlocker', 'Upgrades']       1\n",
       "Name: keywords, Length: 86, dtype: int64"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bugs_df[\"keywords\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "f6a5da7c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# wordcloud to get rough aggregated idea of which keywords occur the most\n",
    "wordcloud = WordCloud(max_font_size=75, max_words=500).generate(\n",
    "    bugs_df.keywords.str.cat()\n",
    ")\n",
    "\n",
    "# Display the generated image:\n",
    "plt.imshow(wordcloud, interpolation=\"bilinear\")\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ccc5634d",
   "metadata": {},
   "source": [
    "### Whiteboard\n",
    "A free-form text area for adding short notes and tags to a bug."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "d83b6df4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "logging-exploration                          47\n",
       "LifecycleStale                               36\n",
       "LifecycleReset                               30\n",
       "logging-core                                 20\n",
       "Scrubbed                                     12\n",
       "TechnicalReleaseBlocker                       9\n",
       "multi-arch                                    8\n",
       "aos-scalability-46                            8\n",
       "UpdateRecommendationsBlocked                  7\n",
       "SDN-CI-IMPACT                                 7\n",
       "devex                                         7\n",
       "non-multi-arch                                5\n",
       "logging-exploration osd-45-logging            5\n",
       "IBMROKS                                       5\n",
       "AI-Team-Core                                  4\n",
       "AI-Team-Platform                              3\n",
       "aos-scalability-48                            2\n",
       "component:jenkins-2-plugins                   2\n",
       "workloads                                     2\n",
       "47hack                                        2\n",
       "aos-scalability-47                            2\n",
       "pre-merge-verified                            2\n",
       "ImpactStatementRequested                      2\n",
       "ImpactStatementProposed                       2\n",
       "non-multi-arch, bootimage                     2\n",
       "wip                                           2\n",
       "coreos                                        2\n",
       "aws                                           1\n",
       "aos-scalability-46 LifecycleStale             1\n",
       "plusminusreview                               1\n",
       "needsqa                                       1\n",
       "Logging                                       1\n",
       "aos-scalability-43                            1\n",
       "LifecycleFrozen                               1\n",
       "4.5                                           1\n",
       "stale                                         1\n",
       "MULTI-ARCH                                    1\n",
       "aos-scalability-45                            1\n",
       "osd-45-logging, logging-exploration           1\n",
       "logging-exploration, n                        1\n",
       "Telco                                         1\n",
       "backport:4.5                                  1\n",
       "OCP-Metal-juke-3                              1\n",
       "osd-45-logging, logging-core                  1\n",
       "buildcop                                      1\n",
       "logging-core, logging-exploration             1\n",
       "webscale                                      1\n",
       "LifecycleReset,LifecycleFrozen                1\n",
       "workloads, Multi-Arch                         1\n",
       "OCP-Metal-juke-5                              1\n",
       "multi-arch LifecycleReset                     1\n",
       "assisted-installer-prod                       1\n",
       "aos-scalability-45 LifecycleStale             1\n",
       "SingleNode LifecycleReset                     1\n",
       "groom                                         1\n",
       "AI-Team-OCS                                   1\n",
       "aos-scalability-46 LifecycleReset             1\n",
       "47hack, logging-exploration, logging-core     1\n",
       "SDN-CI-IMPACT MULTI-ARCH                      1\n",
       "trt LifecycleStale                            1\n",
       "Name: whiteboard, dtype: int64"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vc = bugs_df[\"whiteboard\"].value_counts()\n",
    "vc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "8e648fcf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vc.plot.bar()\n",
    "plt.xlabel(\"Whiteboard text\")\n",
    "plt.ylabel(\"Number of Bugs\")\n",
    "plt.title(\"Bug distribution across different Whiteboard texts\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8d8a94d",
   "metadata": {},
   "source": [
    "### description \n",
    "This conatins descriptions for each bugzilla ticket."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "44c24a1a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                                                     NaN\n",
       "1       Description of problem:\\nOn OCP 4.4.3, that wa...\n",
       "2       Description of problem:\\n\\nThe bootstrap node ...\n",
       "3                                                     NaN\n",
       "4       Description of problem:\\n\\n1. On a 10 node clu...\n",
       "                              ...                        \n",
       "2952    Description of problem:\\n4.7 to 4.6 downgrade ...\n",
       "2953    Description of problem:\\nTry to install \"opens...\n",
       "2954    Document URL: \\n\\nhttps://docs.openshift.com/c...\n",
       "2955    Creating a new cluster on OpenShift 4.6 gets m...\n",
       "2956    Description of problem:\\n\\nCustomer upgraded f...\n",
       "Name: description, Length: 2957, dtype: object"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bugs_df[\"description\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "b139dfa3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nan\n"
     ]
    }
   ],
   "source": [
    "print(bugs_df[\"description\"].iloc[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "368c92d3",
   "metadata": {},
   "source": [
    "### resolution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "8ad60cff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ERRATA               1109\n",
       "DUPLICATE             282\n",
       "NOTABUG               268\n",
       "CURRENTRELEASE        104\n",
       "WONTFIX                80\n",
       "INSUFFICIENT_DATA      59\n",
       "WORKSFORME             59\n",
       "DEFERRED               48\n",
       "EOL                    28\n",
       "NEXTRELEASE            17\n",
       "UPSTREAM               11\n",
       "CANTFIX                 9\n",
       "Name: resolution, dtype: int64"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vc = bugs_df[\"resolution\"].value_counts()\n",
    "vc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "64dbffe3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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fnuj7Dhw4UO7u7qpSpYpatGih2rVrq1GjRinO9dBLL72ktm3bqlmzZipfvrx+++03lSxZ0mivUaOGOnbsqB49eqhkyZLq1KmT/vnnH5vfq0CBAho7dqyGDRumN954Qzt37tTMmTOVPn16RUdH68svv1TZsmVVsWJFhYeH67PPPpOUdL8/KiAgQO+//77ef/99Va1aVW+88cZ/frwJjRkzRvfv31fNmjVVunRpde3a1Wr07FG9evVS3rx51aRJE5UsWVJt2rRJ8TWHjRs31pkzZ+Tv769PPvkkRV9TuHBh+fv7a+7cuXr11Vc1bNgwDR06VKVLl9Y777yjlStXSlKyffvJJ5+oePHixh6exYoVS/LnDxgwQDt37pS/v7/WrVunKlWqGG0FCxZUrVq1VKVKFfn7+1uN5kvJ/+7/zZ9//qkPPvhAfn5+atq0qZo3b/7Ev1sASC2W+Pj4eLNDAAD+m7i4OL311lsaN24cbywBAECqYiQRANKIPXv26NatW4qOjtbMmTMl6V9XIgUAAPivWN0UANKII0eOqGfPnoqOjtZLL72kadOmJbkFBQAAwONiuikAAAAAwMB0UwAAAACAgSIRAAAAAGBw6msSb9y4q7g482fbenllUVjYHbNjOBT6xDb6xTb6xTb6JTH6xDb6xTb6xTb6JTH6xDb6xTZH6RcXF4uefz6zzTanLhLj4uIdokiU5DA5HAl9Yhv9Yhv9Yhv9khh9Yhv9Yhv9Yhv9khh9Yhv9Ypuj9wvTTQEAAAAABopEAAAAAICBIhEAAAAAYKBIBAAAAAAYKBIBAAAAAAaKRAAAAACAgSIRAAAAAGCgSAQAAAAAGCgSAQAAAAAGikQAAAAAgMHN7ABpWdZs7sqYIXW60Ns76xN9fdS9GN2+FZkqWQAAAAA4L4rEJ5Axg5vq9FhjdgxJ0rov6+m22SEAAAAApHlMNwUAAAAAGCgSAQAAAAAGikQAAAAAgIEiEQAAAABgoEgEAAAAABgoEgEAAAAABopEAAAAAICBIhEAAAAAYKBIBAAAAAAYKBIBAAAAAAaKRAAAAACAgSIRAAAAAGCgSAQAAAAAGCgSAQAAAAAGikQAAAAAgIEiEQAAAABgoEgEAAAAABgoEgEAAAAABopEAAAAAICBIhEAAAAAYKBIBAAAAAAY7FIkBgUFKTAwUIULF9Zvv/1mnD937pyaNm2qatWqqWnTpjp//vwTtwEAAAAAHp9disTKlStr8eLFypUrl9X5wYMHq0WLFtq8ebNatGihQYMGPXEbAAAAAODx2aVI9Pf3l6+vr9W5sLAwnThxQrVr15Yk1a5dWydOnFB4ePhjtwEAAAAAnoybWT/48uXLyp49u1xdXSVJrq6u8vHx0eXLlxUfH/9YbZ6env8pg5dXltR9UCbz9s5qdoRU9aw9ntRCv9hGv9hGvyRGn9hGv9hGv9hGvyRGn9hGv9jm6P1iWpHoCMLC7iguLv6xv97RfrnXrt02O0Kq8fbO+kw9ntRCv9hGv9hGvyRGn9hGv9hGv9hGvyRGn9hGv9jmKP3i4mJJctDMtCLR19dXoaGhio2Nlaurq2JjY3X16lX5+voqPj7+sdoAAAAAAE/GtC0wvLy8VLRoUa1fv16StH79ehUtWlSenp6P3QYAAAAAeDJ2GUkcPny4tmzZouvXr+uDDz6Qh4eHNmzYoCFDhqhv376aPn26smXLpqCgIONrHrcNAAAAAPD47FIkfv755/r8888TnS9YsKCWL19u82setw0AAAAA8PhMm24KAAAAAHA8FIkAAAAAAANFIgAAAADAQJEIAAAAADBQJAIAAAAADBSJAAAAAAADRSIAAAAAwECRCAAAAAAwUCQCAAAAAAwUiQAAAAAAA0UiAAAAAMBAkQgAAAAAMFAkAgAAAAAMFIkAAAAAAANFIgAAAADAQJEIAAAAADBQJAIAAAAADBSJAAAAAAADRSIAAAAAwECRCAAAAAAwUCQCAAAAAAwUiQAAAAAAA0UiAAAAAMBAkQgAAAAAMFAkAgAAAAAMFIkAAAAAAANFIgAAAADAQJEIAAAAADBQJAIAAAAADBSJAAAAAAADRSIAAAAAwECRCAAAAAAwUCQCAAAAAAwUiQAAAAAAA0UiAAAAAMBAkQgAAAAAMFAkAgAAAAAMDlEk7ty5U/Xr11e9evVUt25dbdmyRZJ07tw5NW3aVNWqVVPTpk11/vx542uSawMAAAAAPB7Ti8T4+Hj17t1bY8aM0Zo1azRmzBj16dNHcXFxGjx4sFq0aKHNmzerRYsWGjRokPF1ybUBAAAAAB6P6UWiJLm4uOj27duSpNu3b8vHx0c3btzQiRMnVLt2bUlS7dq1deLECYWHhyssLCzJNgAAAADA43MzO4DFYtHEiRP1ySefKFOmTLp7966++uorXb58WdmzZ5erq6skydXVVT4+Prp8+bLi4+OTbPP09Ezxz/byyvJUHpNZvL2zmh0hVT1rjye10C+20S+20S+J0Se20S+20S+20S+J0Se20S+2OXq/mF4kxsTEaNasWZo+fbpKlSqlgwcPqnv37hozZsxT/9lhYXcUFxf/2F/vaL/ca9dumx0h1Xh7Z32mHk9qoV9so19so18So09so19so19so18So09so19sc5R+cXGxJDloZnqRePLkSV29elWlSpWSJJUqVUru7u7KkCGDQkNDFRsbK1dXV8XGxurq1avy9fVVfHx8km0AAAAAgMdn+jWJOXLk0JUrV/THH39Iks6ePauwsDDlzZtXRYsW1fr16yVJ69evV9GiReXp6SkvL68k2wAAAAAAj8/0kURvb28NGTJE3bp1k8VikSSNHDlSHh4eGjJkiPr27avp06crW7ZsCgoKMr4uuTYAAAAAwONJUZH4888/K1euXMqTJ4+uXr2qL7/8Ui4uLvrss8/k7e39xCHq1q2runXrJjpfsGBBLV++3ObXJNcGAAAAAHg8KZpu+sUXXxgriQYFBSkmJkYWi0UDBw58quEAAAAAAPaVopHE0NBQ5cyZUzExMdq7d6927NihdOnS6c0333za+QAAAAAAdpSiIjFLliy6fv26fv/9dxUsWFCZM2dWdHS0YmJinnY+AAAAAIAdpahIfO+999S4cWPdv39f/fv3lyQdOnRIBQoUeKrhAAAAAAD2laIisUOHDqpatapcXV314osvSpKyZ8+u4cOHP9VwAAAAAAD7SvEWGPnz50/2GAAAAACQ9qWoSAwICDD2MEwoffr0yp49u9555x01b95cbm6mb7sIAAAAAHgCKarqWrVqpbVr16pVq1by9fXV5cuXtXjxYlWvXl3PPfec5s+fr8uXL6t3795POy8AAAAA4ClKUZG4atUqzZs3T9mzZzfOvfXWW2rbtq02bNigsmXL6oMPPqBIBAAAAIA0ziUld7p27ZoyZ85sdc7d3V1Xr16V9OD6xFu3bqV+OgAAAACAXaVoJPHtt9/Wxx9/rI8//ljZs2dXaGioZs2apbfffluSdPjwYeXOnfupBgUAAAAAPH0pKhKHDh2qKVOmaNCgQbp69aq8vb1Vo0YNderUSZKUJ08ezZo166kGBQAAAAA8fSkqEjNkyKCePXuqZ8+eNtu9vb1TNRQAAAAAwBwpKhL37duXZFu5cuVSLQwAAAAAwFwpKhIHDBhgdXzjxg3dv39f2bNn1/bt259KMAAAAACA/aWoSNyxY4fVcWxsrGbMmJFoxVMAAAAAQNqWoi0wHuXq6qqOHTtqzpw5qZ0HAAAAAGCixyoSJenHH3+UxWJJzSwAAAAAAJOlaLppQECAVUEYGRmp6OhoDR48+KkFAwAAAADYX4qKxLFjx1odu7u7K3/+/MqSJctTCQUAAAAAMEeKisQyZco87RwAAAAAAAfwr9cknjp1Shs2bNBff/0lSZowYYLq1KmjHj16KDw8/KkHBAAAAADYT7JF4tKlS9WiRQstWLBAjRs31vDhw3XkyBE1a9ZM4eHhGjlypL1yAgAAAADsINnppvPmzdPixYtVtGhRHT16VE2bNtWPP/4oT09P1axZU7Vr17ZXTgAAAACAHSQ7khgWFqaiRYtKkl577TW5u7vL09NTkvT8888rMjLy6ScEAAAAANjNf9on0c0tRevcAAAAAADSqGSrvqioKLVs2dI4vnv3rnEcHx+ve/fuPd10AAAAAAC7SrZIHDFihNVx48aNrY7ffffd1E8EAAAAADBNskVigwYN7JUDAAAAAOAA/tM1iQAAAACAZxtFIgAAAADAQJEIAAAAADAkWSQ2adLEuD116lS7hAEAAAAAmCvJIvH8+fPGFhfz5s2zWyAAAAAAgHmSXN20cuXKqlatmnLlyqV79+5Z7ZeY0OLFi59aOAAAAACAfSVZJI4aNUoHDhzQ33//rf/973+J9kgEAAAAADx7kt0n0d/fX/7+/rp//z57JgIAAACAE0i2SHyocePGCgkJ0erVq3X16lX5+PioXr16euONN552PgAAAACAHaVoC4zly5ere/fu8vb2VtWqVeXj46MePXrou+++S5UQ9+7d0+DBg/XOO++oTp06GjhwoCTp3Llzatq0qapVq6amTZvq/Pnzxtck1wYAAAAAeDwpGkmcM2eO5s+fryJFihjnatSooa5du1ptlfG4xo4dqwwZMmjz5s2yWCy6fv26JGnw4MFq0aKF6tWrpzVr1mjQoEFauHDhv7YBAAAAAB5PikYSb968qYIFC1qdK1CggP75558nDnD37l2tXr1a3bp1k8VikSS98MILCgsL04kTJ1S7dm1JUu3atXXixAmFh4cn2wYAAAAAeHwpGkksWbKkRo8erZ49e8rd3V0REREaP368/Pz8njjAhQsX5OHhoalTpyokJESZM2dWt27dlDFjRmXPnl2urq6SJFdXV/n4+Ojy5cuKj49Pss3T0zPFP9vLK8sT53ck3t5ZzY6Qqp61x5Na6Bfb6Bfb6JfE6BPb6Bfb6Bfb6JfE6BPb6BfbHL1fUlQkfvHFF/r000/l7++v5557Tv/884/8/Pz05ZdfPnGA2NhYXbhwQa+88or69OmjX3/9VR07dtSkSZOe+Hv/m7CwO4qLi3/sr3e0X+61a7fNjpBqvL2zPlOPJ7XQL7bRL7bRL4nRJ7bRL7bRL7bRL4nRJ7bRL7Y5Sr+4uFiSHDRLUZHo4+OjxYsX68qVK8bqpjly5EiVcL6+vnJzczOmjr7++ut6/vnnlTFjRoWGhio2Nlaurq6KjY3V1atX5evrq/j4+CTbAAAAAACPL0XXJD6UI0cOvfbaa6lWIEqSp6enypYtqx9//FHSg1VLw8LClC9fPhUtWlTr16+XJK1fv15FixaVp6envLy8kmwDAAAAADy+FI0kPm1ffPGF+vfvr6CgILm5uWnMmDHKli2bhgwZor59+2r69OnKli2bgoKCjK9Jrg0AAAAA8HgcokjMkyePFi1alOh8wYIFtXz5cptfk1wbAAAAAODx/Ot007i4OO3bt0/R0dH2yAMAAAAAMNG/FokuLi765JNPlD59envkAQAAAACYKEUL15QuXVpHjhx5ylEAAAAAAGZL0TWJOXPmVPv27VW5cmXlyJFDFovFaOvWrdtTCwcAAAAAsK8UFYn37t1TlSpVJEmhoaFPNRAAAAAAwDwpKhJHjRr1tHMAAAAAABxAirfAOHv2rL7//nuFhYVp0KBB+uOPPxQdHa0iRYo8zXwAAAAAADtK0cI1mzZtUsuWLRUaGqrVq1dLku7evavRo0c/zWwAAAAAADtL0Uji5MmTtWDBAhUpUkSbNm2SJBUpUkSnTp16quEAAAAAAPaVopHE8PBwFS5cWJKMlU0tFovVKqcAAAAAgLQvRUVisWLFtGbNGqtzGzZs0GuvvfZUQgEAAAAAzJGi6aYDBgxQu3bttGLFCkVERKhdu3Y6d+6c5s2b97TzAQAAAADsKEVFYsGCBbVp0ybt3LlTlSpVkq+vrypVqqTMmTM/7XwAAAAAADtK8RYY7u7uKlWqlHLnzq3s2bNTIAIAAADAMyhFReKlS5fUs2dP/frrr8qWLZtu3bql119/XWPHjlWuXLmedkYAAAAAgJ2kaOGaPn36qFixYtq/f7/27dunX375RcWLF1ffvn2fdj4AAAAAgB2laCTx+PHjmjdvntKlSydJypw5s3r27KmyZcs+1XAAAAAAAPtK0UhiiRIldPToUatzx44dk5+f31MJBQAAAAAwR5IjiZMmTTJu58mTRx06dFClSpWUI0cOXblyRbt27VLt2rXtEhIAAAAAYB9JFolXrlyxOn7nnXckSeHh4UqfPr2qVq2qe/fuPd10AAAAAAC7SrJIHDVqlD1zAAAAAAAcQIr3SYyMjNSff/6piIgIq/MlS5ZM9VAAAAAAAHOkqEhcvXq1hg4dqnTp0iljxozGeYvFoh9++OFpZQMAAAAA2FmKisSxY8dqypQpqlChwtPOAwAAAAAwUYq2wEiXLp3KlCnztLMAAAAAAEyWoiKxW7duGj16tMLDw592HgAAAACAiVI03TRfvnyaPHmylixZYpyLj4+XxWLRyZMnn1o4AAAAAIB9pahI7N27t+rVq6eaNWtaLVwDAAAAAHi2pKhIvHnzprp16yaLxfK08wAAAAAATJSiaxIbNmyoNWvWPO0sAAAAAACTpWgk8ejRo1q8eLFmzJihF154wapt8eLFTyUYAAAAAMD+UlQkNmnSRE2aNHnaWQAAAAAAJktRkdigQYOnnQMAAAAA4ABSVCSuWLEiybbGjRunWhgAAAAAgLlSVCQ+umjN9evXdeHCBfn5+VEkAgAAAMAzJEVF4qJFixKdW7Fihc6ePZvqgQAAAAAA5knRFhi2NGzYUMHBwamZBQAAAABgshSNJMbFxVkdR0ZGau3atcqaNetTCQUAAAAAMEeKisRXXnlFFovF6lz27Nk1bNiwVA0zdepUTZkyRevWrdPLL7+sI0eOaNCgQbp3755y5cqlsWPHysvLS5KSbQMAAAAAPJ4UFYnbt2+3OnZ3d5enp2eqBjl+/LiOHDmiXLlySXowetmrVy+NGjVK/v7+mj59usaNG6dRo0Yl2wYAAAAAeHwpuiYxV65cVv9Su0CMjo7W0KFDNWTIEOPcsWPHlCFDBvn7+0uSmjVrpu+///5f2wAAAAAAjy/ZkcRWrVolmmaakMVi0ddff/3EISZNmqS6desqd+7cxrnLly8rZ86cxrGnp6fi4uJ08+bNZNs8PDxS/HO9vLI8cXZH4u39bF0j+qw9ntRCv9hGv9hGvyRGn9hGv9hGv9hGvyRGn9hGv9jm6P2SbJFYt25dm+dDQ0O1aNEiRUVFPXGAw4cP69ixY+rZs+cTf6//KizsjuLi4h/76x3tl3vt2m2zI6Qab++sz9TjSS30i230i230S2L0iW30i230i230S2L0iW30i22O0i8uLpYkB82SLRLfffddq+MbN27oq6++0nfffaeaNWuqU6dOTxxu//79Onv2rCpXrixJunLlitq1a6dWrVrp0qVLxv3Cw8Pl4uIiDw8P+fr6JtkGAAAAAHh8Kbom8c6dO5o4caLeeecdXb9+XatWrdKwYcOUI0eOJw7QoUMH7d27Vzt27NCOHTuUI0cOzZ07Vx9++KGioqJ04MABSdKyZctUvXp1SVLx4sWTbAMAAAAAPL5kRxKjoqL09ddfa968eSpbtqyWLFmiQoUK2SWYi4uLxowZo8GDB1ttc/FvbQAAAACAx5dskRgYGKi4uDh9+OGHKl68uK5fv67r169b3adcuXKpGmjHjh3G7ZIlS2rdunU275dcGwAAAADg8SRbJGbMmFGStHTpUpvtFosl0R6KAAAAAIC0K9kiMeGoHgAAAADg2ZeihWsAAAAAAM6BIhEAAAAAYKBIBAAAAAAYKBIBAAAAAAaKRAAAAACAgSIRAAAAAGCgSAQAAAAAGCgSAQAAAAAGikQAAAAAgIEiEQAAAABgoEgEAAAAABgoEgEAAAAABopEAAAAAICBIhEAAAAAYKBIBAAAAAAYKBIBAAAAAAaKRAAAAACAgSIRAAAAAGCgSAQAAAAAGNzMDoBnT9Zs7sqY4cn/tLy9sz7x94i6F6PbtyKf+PsAAAAAzoIiEakuYwY31emxxuwYkqR1X9bTbbNDAAAAAGkI000BAAAAAAZGEgE7YRouAAAA0gKKRMBOmIYLAACAtIDppgAAAAAAA0UiAAAAAMBAkQgAAAAAMFAkAgAAAAAMFIkAAAAAAANFIgAAAADAQJEIAAAAADBQJAIAAAAADBSJAAAAAAADRSIAAAAAwECRCAAAAAAwmF4k3rhxQ+3bt1e1atVUp04dde7cWeHh4ZKkI0eOqG7duqpWrZratm2rsLAw4+uSawMAAAAAPB7Ti0SLxaIPP/xQmzdv1rp165QnTx6NGzdOcXFx6tWrlwYNGqTNmzfL399f48aNk6Rk2wAAAAAAj8/0ItHDw0Nly5Y1jkuUKKFLly7p2LFjypAhg/z9/SVJzZo10/fffy9JybYBAAAAAB6fm9kBEoqLi9PSpUsVGBioy5cvK2fOnEabp6en4uLidPPmzWTbPDw8UvzzvLyypGZ803l7ZzU7gkOiX2x71vrlWXs8qYV+SYw+sY1+sY1+sY1+SYw+sY1+sc3R+8WhisRhw4YpU6ZMeu+997R169an/vPCwu4oLi7+sb/e0X65167dNjuCJPolKfTL0+PtnfWZejyphX5JjD6xjX6xjX6xjX5JjD6xjX6xzVH6xcXFkuSgmcMUiUFBQfrzzz81c+ZMubi4yNfXV5cuXTLaw8PD5eLiIg8Pj2TbAAAAAACPz/RrEiVp/PjxOnbsmKZNm6b06dNLkooXL66oqCgdOHBAkrRs2TJVr179X9sAAAAAAI/P9JHE33//XbNmzVK+fPnUrFkzSVLu3Lk1bdo0jRkzRoMHD9a9e/eUK1cujR07VpLk4uKSZBsAAAAA4PGZXiQWKlRIp0+fttlWsmRJrVu37j+3AQAAAAAej0NMNwUAAAAAOAaKRAAAAACAgSIRAAAAAGCgSAQAAAAAGCgSAQAAAAAGikQAAAAAgIEiEQAAAABgoEgEAAAAABgoEgEAAAAABopEAAAAAICBIhEAAAAAYKBIBAAAAAAYKBIBAAAAAAaKRAAAAACAgSIRAAAAAGCgSAQAAAAAGCgSAQAAAAAGN7MDAHBeWbO5K2OG1Hka8vbO+kRfH3UvRrdvRaZKFgAAgLSMIhGAaTJmcFOdHmvMjiFJWvdlPd02OwQAAIADYLopAAAAAMBAkQgAAAAAMFAkAgAAAAAMXJMIAA6GBX0AAICZKBIBwMGwoA8AADAT000BAAAAAAaKRAAAAACAgSIRAAAAAGDgmkQAQJqQWgv6POliPpJjLehDvwAAUhtFIgAgTWBBH9voFwBAamO6KQAAAADAwEgiAAB4prDXKAA8GYpEAADwTGEKLgA8GaabAgAAAAAMFIkAAAAAAANFIgAAAADAwDWJAAAAToAFfQCkFEUiAACAE2BBHwApRZEIAAAAp5VaI6xPOroqMcIKx5Gmi8Rz586pb9++unnzpjw8PBQUFKR8+fKZHQsAAABpBCOstlE8O7c0XSQOHjxYLVq0UL169bRmzRoNGjRICxcuNDsWAAAAkKZRPCfmTNf1ptkiMSwsTCdOnND8+fMlSbVr19awYcMUHh4uT0/PFH0PFxfLE+fwed79ib9HakmNx5Na6Bfb6JfE6BPb6Bfb6Bfb6JfE6BPb6Bfb6Bfb6BdrGTO4qd3wLWbHkCTN/fwd3X3CPkmuTy3x8fHxT/TdTXLs2DH16dNHGzZsMM7VrFlTY8eOVbFixUxMBgAAAABpF/skAgAAAAAMabZI9PX1VWhoqGJjYyVJsbGxunr1qnx9fU1OBgAAAABpV5otEr28vFS0aFGtX79ekrR+/XoVLVo0xdcjAgAAAAASS7PXJErS2bNn1bdvX926dUvZsmVTUFCQChQoYHYsAAAAAEiz0nSRCAAAAABIXWl2uikAAAAAIPVRJAIAAAAADBSJAAAAAAADRSIAAAAAwECRCAAAAAAwUCQCAAAAAAwUiQCQxiW3k9GtW7fsmAQAADwLKBIdxJUrVzRt2jSzYwAObcuWLcbtU6dOWbV9++239o7jMJo2bapz584lOr9t2zbVq1fPhERpQ1RUlNkR7G78+PHG7RUrVli1DRw40N5xkMb169fP7AhwIJGRkcn+c0bffPONzfN3797VoEGD7Jzmv6FINFF0dLQ2btyodu3aqW7durp06ZLZkUzRt29f4/b06dOt2j766CN7x3EYoaGhOnTokHE8f/58TZ06VVOnTtWFCxdMTGaeGTNmGLcffXOybNkye8dxGK1atdL777+vefPmKT4+Xjdv3tRnn32mKVOm8OGTDYcPH9aAAQP05ptvmh3F7vbs2WPcXrx4sVXbsWPH7B3H4Wzbtk2NGzeWn5+f/Pz81KRJE23bts3sWA5r3759ZkcwBR+22Obn56eSJUuqZMmSxv+hh/9KlixpdjxT7Ny5U61bt7Z6j793717VqVNHmTNnNjHZv3MzO4AzOnHihFasWKFNmzapaNGiOnXqlPbu3av06dObHc0Up0+fNm5v3bpVn3zyiXEcGhpqRiSHMHHiRJUrV854Yl2yZImqVKmiqKgozZw5UyNGjDA5of0lnFb56BTL5KZcPuvq1KmjsmXLavDgwdq0aZOuXr2qxo0ba8yYMXJz42leksLCwrRq1SoFBwfr4sWL6tKli9asWWN2LLvj/1DSdu3apSFDhqhz5856/fXXFR8fr6NHj2rIkCFKly6dAgICzI7ocJz1b2bPnj367LPPJD34sKVx48ZGmzN/2FK6dGlFRkaqQYMGql27tp577jmzI5lu7ty5WrZsmZo2baqOHTvqxIkTOnTokL788kv5+fmZHS9ZvHuwswYNGigiIkINGjTQqlWrlCNHDgUGBjptgSgl/6bFYrHYO47DOHHihEaOHGkcZ86cWX369JEktWjRwqxYpkr49/Do34Yz/61IUvr06ZUhQwbduHFD8fHxKlGiBAWiHowMBQcH69ChQ6pWrZqGDx+uXr16qUOHDmZHMwX/h5K2cOFCjR8/XmXKlDHOvfLKK3rppZc0ffp0ikQbnPVvhg9bbFu0aJEuXLig1atXq2nTpnr55ZfVqFEjvfnmm3Jxcd7Ji82aNVNcXJyGDh0qX19frVq1Sh4eHmbH+le8g7AzNzc33b9/X9HR0YqJiZHkvE+yDyX3psWZxcfHW/XHwwJRejCX3RmFh4cbU+QS3pakGzdumBXLdFu3btWwYcPUqFEjjR07VidOnFD//v21adMm9e/fX1myZDE7omk6d+6scuXKadOmTfL09JTk3M8zFy9eVLdu3RLdjo+P199//21mNNNdvHjRqkB8yN/f36n7plGjRjb/z8THxyssLMyERObjw5ak5cmTR126dFGXLl20bds29e3bVx9++KHatWtndjRT3LlzRyNHjtThw4c1f/58bd26VU2bNtWIESPk7+9vdrxkUSTa2fLly3XmzBkFBwerWbNmyp8/vyIiIhQZGSl3d3ez45ni3LlzxlSNhLfj4+N1/vx5E5OZKyoqStHR0cYoc7ly5SQ9uJY1IiLCzGimKV++vDGVJ+Ft6f/3jzOaPHmyZsyYoWLFikmSXn/9da1atUoTJkxQ3bp1tWPHDpMTmmfWrFlauXKlatSoocDAQNWvX9/sSKbq37+/cbtSpUpWbW+//bad0ziWTJkyPVbbsy7hB5R4gA9bkhYfH689e/Zo1apVOn36tFq0aKHatWubHcs0devW1TvvvKPVq1crQ4YMKleunEJCQtSvXz8FBATo888/NztikizxzjwuboLQ0FBlz55dkhQTE6MffvhBK1as0IEDB/TWW29ZXQztLH755Zdk2219susMRowYodjYWA0YMECurq6SpLi4OGMKqiM/scC+7t+/r3Tp0tlsO3LkiEqUKGHfQA7o5s2bWrt2rVauXKkzZ86offv2qlOnjgoUKGB2NDiIKlWqJLnoyPDhw7V161Y7J4KjWrVqVbLtDRo0sFMSxzJ27Fht27ZNJUuWVIMGDZz2/VtCBw8eVKlSpRKdv3v3rsaNG6fBgwebkCplKBLt7OG1iI+6du2aVq9erfbt25uQylwTJ05U9+7dzY7hcO7evauPPvpIly5d0iuvvCLpwXWKOXLk0OzZsx1+VaynITw8XO7u7sao+4EDB7R582blyZNHLVu2NIppZ/NvS4s76ywFyfbzy/HjxxUcHKwNGzYoJCTEnGAmeXRF00e1bNnSTkkcT6tWrZJtX7RokZ2SOJ4DBw5o6tSpxkJzhQsXVufOnR1+uhzsq0iRIsqfP78yZcpkc9rtoyvBwrFRJNpZ/fr1tXr1arNjOJSkCmc88NNPP+nEiROSHiyiUL58eZMTmad58+YKCgrSiy++qD/++EONGjVSvXr1dPbsWRUtWtRqKp0zKVKkiCwWi9WCCQ+PLRaLTp48aWI6cyX3/JJwOrezKFKkiIoVK6aXX37ZZvuoUaPsnAiObtu2bRo2bJg6duxozEo4fPiwZs2apYEDB6pKlSrmBjRBSEiI8ubNqxw5ckiSZs+erfXr1yt37twaNGiQMWPM2TAzLLGuXbsme53qpEmT7Jjmv+GaRDu7c+eOdu3alWQ7q6fhUeXLl3fqwjChW7du6cUXX5QkbdiwQdWrV9eQIUN07949NWrUyOR05jl16pTZEdIkZysQJWnkyJFatWqVfv/9d5apf0TCqdnh4eHGQkfSg73OnPWazenTp2vOnDkqVKiQca5o0aLy9/dXnz59nLJIHD16tBYsWCBJ+vnnnzV37lwNGjRIJ0+e1PDhwzVlyhRzA5okqSLw3r172rRpk53TOIa0/LxBkWhnYWFhmjt3rs0lki0Wi1MWiQkXq7HFWacnBAYGJlpBzcvLSxUqVFDHjh2d8g1uwsd85MgRYxGSDBkyOPV2D+fPn1e+fPnMjuGQeH6x1rBhQzVs2NBYpr5Zs2Z6+eWX9fHHH6tIkSJmxzPVF198YYw6t2vXzmoEevLkyWn6zd6TiIqKsioQH3r55Zd17949ExKZLyYmxvhwZceOHWrUqJFq1qypGjVqqG7duiancxy//vqrgoODtWnTJhUrVswpFw5Ly9enOu+7KpPkzZtXCxcuNDuGQ/Hx8VHv3r3NjuFwZs2alejcjRs39O2332rMmDFOuXBNlixZtGvXLmXPnl2HDh3S6NGjJT1Y0MdZ36xI0qeffmq8oe3SpYvTfoptC88vtuXJk0dt2rTRCy+8oMmTJ6tixYpOXySy951t9+/ft7k4VnR0tKKjo01K5TiOHDmijz/+WBLbX0gPRuFXrVqlVatW6f79+7p586bWr1/vtFNwP/vsM2NRylWrVqWpopEi0YFERUUpY8aMZsewu8yZMzvlPPV/Y+uTW0kqVaqUGjZsaOc0jmHAgAHq2bOnQkND1alTJ3l7e0t6MBWsePHiJqczT8I3sBcuXDAxiePh+cXaw+XpV65cqd9//101atTQd999pzx58pgdzXTsfWdb5cqV1adPH33xxRfKmjWrpAdT/4cMGaLKlSubnM4cL7/8ssaOHSsfHx+dP39eZcuWlfTgkiJn1qlTJx08eFBVq1bV0KFDVbJkSQUGBjptgShJf/zxh3F74cKFFIlIWvXq1ROdO3z4sFasWKEtW7Zo//79JqQyV1Kf0F65ckXBwcHq1KmTnRM5NldXV7m4uJgdwxRFihTR+vXrE52vXLmyKlSoYEIix5Dcm1tnx/OLtbfeeks+Pj5q2LChOnXqJIvFonv37unMmTOSpJdeesnkhOa5ffu2sWbAo+sHOPOb/88++0xDhgxRQECA8ubNK0n6888/Vb16dfXo0cPkdOYYPHiwJk6cqJCQEE2aNMnYR/Po0aNO+yGu9ODx586dWyVKlFDRokUl8ZqUlh8/q5uaJCwsTKtWrVJwcLAuXryoLl26qHbt2sqZM6fZ0ezu5s2b8vDwkPRg+sq2bdsUHBys//3vf6patapGjBhhbkAH8+OPP2rWrFlMW/4/zv4hiySVLl3aWNzop59+SrTQkSOvnva08fxiLTAw0Lhta0Xc7du3mxHLIbAFhm2XLl1Szpw5denSJf3222+Kj4/Xyy+/rFy5cun48eMqVqyY2REdyoEDB5x2a5C4uDjt2bNHwcHBCgkJ0dtvv629e/dq7969ZkczTcL9V4cPH57oUiFHXouEItHOHr5BOXTokKpVq6Z69eqpV69e2rFjh9nRTHXixAmtWLFCmzZtUtGiRXXq1Cn98MMPTrk4y0ONGjVK9AnUjRs3ZLFYNHXqVKe+fogPWayxsXPyeH4BHl/CbWQaN25stdgTW1g9cPXqVa1atUorV65UfHy8tmzZYnYk0924cUNr1qzRypUrdefOHdWqVcspR56T+/DJYrE49Af+TDe1s86dO6tcuXLatGmTsbx2Wh6KTg0NGjRQRESE8WKTI0cOBQYGOv0buD59+lgdWywWeXp6Km/evE67kuejH7IMHz5cvXr1UocOHcyOZqrIyEi1aNHC7BgOieeXlImOjtayZcvUunVrs6M4nOvXr2v27Nnq16+f2VFMkXAsISYmJsk2ZxMTE6Pt27drxYoVOnr0qGJiYjR37lxjGxVn9/zzz6tNmzZq06aNjh49qpUrV5odyRTjxo1Ls9dkOueFTSaaNWuWsmXLpho1aqhfv34KCQkxO5Lp3NzcdP/+fUVHRxsvQM5eOEsP9htK+K906dIqWLCg0xaI0oMPWaKiorRp0yYNHTpUpUqV4m9F0vLly82O4LB4frEWFRWlOXPmaNiwYcbrz9KlSxUYGOj0M1rCwsL0xRdfqGPHjlq7dq2io6M1duxYVa1a1amvSWRBn8RGjhypgIAAffvtt6pbt6527dql5557zukLxCNHjhi3w8PDjduvvfaaQ0+rfJo6duxodoTH5rzvNk0SEBCggIAA3bx5U2vXrtWoUaMUGhqqSZMmqU6dOipQoIDZEe1u+fLlOnPmjIKDg9WsWTPlz59fERERioyMlLu7u9nxTBMaGqqZM2cqW7Zs+uCDDzRgwAD99NNPyp8/v0aNGqXChQubHdHuZs2apZUrV6pGjRoKDAx0yj2X8N/w/GJtwIABunLlivz8/DR+/Hj5+Pjo9OnTGjFihNO+iXtowIABypQpkwICArRx40YtWbJEkrRs2TKnfL596N69ezp79qzi4+Otbj9sc0bffvutSpQooQ4dOuiNN96Q5LwFc0LsNZpYWh5t55pEB3Ds2DGtXLlSGzZscPqRxZiYGP3www9asWKF9u/fr4CAAGN/GWfTtm1bFS1aVHfv3lVISIjq1KmjatWq6eeff9bGjRu1ePFisyOa5uGHLCtXrtSZM2fUvn17p/2QRbJeuMYWZ164JqGYmBjt3LlTwcHBTvv8UqNGDa1bt05ubm66c+eOKlasqO3bt8vLy8vsaKarVauWNmzYIOnB9Nvy5ctr9+7dxsqVzirhYkePctbFjm7duqV169YpODhY//zzj+rXr6/g4GD98MMPZkczVf369bV69epEt20dO4uEC9fY4sgfzjGS6ACKFy8uV1dX/fXXX2ZHMZ2bm5uqVKmiKlWq6Pr16059Qfy1a9c0b948xcXF6a233tInn3wiSSpYsKC+/fZbk9OZy8PDQ61bt1br1q11/PhxBQcHq3nz5k77IUuWLFlUqVIls2M4PDc3N1WtWlVVq1bVtWvXnPINS8aMGY0p61myZFG+fPkoEP9PwutU06dPrzx58jh9gSjJ6ach25ItWza1bNlSLVu21KlTpxQcHKx79+6pZcuWqlOnjpo1a2Z2RFMwNTmxsLAwzZ071+aIosVioUjE/3fu3DmNHDlSV65cUa1atdS8eXMNHjxYe/fuVdu2bc2OZ4rt27frzp07qlevntX5vXv3qmDBgialMt/DN3IuLi7GpvEPubq6mhHJIRUrVkzFihVT3759zY5iGg8PD6dfwTQ5R48e1bx584y9AAsVKqS2bduqffv2Jiezv9DQUI0ZM8Y4vnr1qtVx7969zYjlEC5evKhu3bolecyIPGwpUqSIBgwYoN69e2vbtm1auXKl0xaJ7DWaWN68eR16BdPkUCTa2aBBg/T666+rVatW2r59u959910VKVJEmzdvdtpPc+fOnaspU6YkOv9w9Cy5qS7PsvDwcGNKacLb0oOlpZ1R27ZtNW/ePEnSkCFDNGTIEKOtadOmTjvyzFUDSTt8+LA6dOigZs2aqXbt2oqPj9fRo0fVrl07zZ49W6+//rrZEe3q0VVwWRX3/+vfv7/VMaPzSMrDvSMTSpcunWrUqKEXX3zRpFTm8/X11Zw5cyRJOXLkMG4/PEbaQpFoZzdv3lTPnj0lSRUrVlSFChU0fvx4p16xMjo62maB7OnpqYiICBMSOYby5cvr2LFjiW5LUrly5cyKZaqEq6X9+uuvVm3OXCglHAmCtTlz5mjkyJGqWrWqca5q1ap6/fXXNWvWLE2fPt3EdPbXuXNnsyM4rORG46Ojo+2YBI6uU6dOSe4d+fnnnzvtB5aLFi0yO4LDqV69utkRHpvzViYmSVgMuri4KEeOHE5dIErSP//8k2RbZGSkHZM4llGjRiXZFhUVZcckjunRotBZr3eQpKlTpyb5+C0WiyZOnGjfQA7kzJkzVgXiQ1WqVNHYsWNNSGS+27dv65tvvtGpU6ckSYULF9Z7772nbNmymZzMfHFxcfrnn3/0/PPPS3pQHC5dulRz587V7t27TU4HR8Hekf+NM+81WrRoUatpt4/imkQYzp07p8aNGyd5nPDTKGdRuHBhrVu3TnXq1LE6v2HDBhUqVMikVI7p8OHDWrFihbZs2aL9+/ebHcfukrso3pnZWlb89u3b+vrrr512avJDGTNmfKy2Z9Xvv/+uDz74QKVLl5afn5+kB6PyNWvW1Pz58536OXfHjh3q2bOnIiMj9cYbb6h79+769NNP9cILLzjdKrhIHgu02BYWFqapU6fq8uXLqlmzpqpXr65JkyZpyZIlqlmzptnxTJFwyu1DFotFFy9e1OXLl3Xy5EkTUqUMRaKdffXVV2ZHcDg9evRQq1at9MMPPxjXB/36668KCQlh6oIePOmuWrVKwcHBunjxorp06aI1a9aYHcsUv/32mzHV9tatW8bt+Ph4p70oXrKeJhcdHa2FCxdqwYIFqlatmrEqrrO6f/++1b5uj7Y5m6CgIA0cOFDVqlWzOv/9999r9OjRmjt3rknJzDdp0iRNnDhRZcuW1ZYtW/T++++ra9euTruoHJLG3pG2sddoYo++j71y5YomT56s8+fP6/PPPzcpVcqwT6IDuX79ul544QWzY5ji6tWrWrJkiU6cOCFJeuWVV9SiRQv5+PiYnMw827ZtU3BwsA4dOqRq1aqpXr166tWrl1MvR/73338n254rVy47JXE8cXFxWr58uWbMmKEyZcqoa9euyp07t9mxTMceb9aqVaumzZs322x75513tGXLFjsnchz16tWz+gCucuXKTvf3gZT5twX1nPV1mr1Gk3bz5k3NmDFDGzZs0Hvvvaf3339f7u7uZsdKFiOJJrh27ZpCQ0NVpEgRubm5KTw8XDNnztSqVauccgqhJPn4+Kh79+5mx3AonTt3Vrly5bRp0yZ5enpKcu5pLFLyRWC/fv2SvY7zWbZp0yZNmjRJ+fPn1+zZs516yuCjUvpmLTw83Ph/9iyLjY19rDZnERUVZYwIZcmSxerY0d/QwX6ctQj8N+w1mlhkZKTmzp2rZcuWqV69elq/fr08PDzMjpUiFIl2tnz5cn3xxRd67rnn5OnpqW7duqlv376qWLGigoODzY5nin9bmdFZ9+2aNWuWVq5cqRo1aigwMFD169c3O5JD27dvn9kRTPPpp58qZ86cSpcunaZOnZqonf3d/l27du2cYkXCYsWK6euvv9b7779vdX7BggUqVqyYSakcw+nTp+Xn52c1NfnhscVicehrh+A4atSooU2bNpkdwxTsNZpY5cqV5e7urq5duyp79uyJVmZn4RoYFixYoFWrVqlQoUI6ePCgWrdurS+//DJNL5H7pJz9U6akBAQEKCAgQDdv3tTatWs1atQohYaGatKkSapTp44KFChgdkSH4swz5511BDU1OcvfT79+/dS2bVtt2rTJuAb8yJEjunXrlrEHqbN6uNor8CSceesu9hpNrGDBgpKkdevWJWqzWCwUifj/3NzcjKlgpUqVUp48eZy6QJSS37fLmZccnzhxorp37y4PDw+1bt1arVu31vHjxxUcHKzmzZsrJCTE7IgOxZmn4ia3vxtSxln+fnLkyKG1a9dq/fr1On36tCSpefPmqlWrltKlS2dyOnPFxMQkuSXVtWvX5O3tbedESIuc5bnElsjISLVo0cLsGA4lLS/ASJFoZ4+utOfi4mJ1/NJLL5kZz+EMGjRIP/zwg9kxTLFr165E12kWK1ZMxYoVU9++fc0JZbJGjRrZfAGOj49XWFiYCYkcx4ULFzRr1iyrve86duyoPHnymJwMjiQiIkKZMmVi+roN7777rjHl+JNPPtH06dONtg4dOjjFdGSkTHJ7ODvLrARbli9fTpGYAqGhoQoODtbq1asderEwikQ7i4qKUvv27a3OPTx2xpX2/o0zP9kmJ+HF4c6kT58+ZkdwSAcOHFCXLl3UqFEjdezYUdKDKYRNmjTRlClT5O/vb3JCx+cszzUtW7Y0ip1hw4Zp4MCBJidyHAn/Bi5dupRkG+Dn5yeLxWL1d/Hw2JlHEpG0+/fva9u2bVqxYoV++eUXNWzYUCNHjjQ7VrIoEu1s0aJFSa7QeOzYMTuncXzO/GR77tw5NW7cOMn2FStW2DGNYyhTpozZERzS+PHjNXnyZJUuXdo4V6VKFQUEBGjcuHFatmyZienMtWTJkhR9sl21alU7pDFfwje1hw4dMjGJ42GDdKQU16/a9uhCNY9yxoVrTp06pRUrVmjDhg165ZVXVL9+ff3xxx/64osvzI72rygS7axz587Gp7iNGze2eqM/cOBAp5zOsnjx4iTbkpvS8azz8fFx2pVdk9K3b1+NHj1akjR9+nSrjeI/+ugjzZo1y6xopgoPD7cqEB8qXbq0bt68af9ADiSl0586depkhzTmo9hJWlxcnLHlRcLbD9uAh7h+1bYsWbKwWM0j6tevr3Llyik4OFg5c+aU9GDNibSAItHOEn6KGxMTk2SbM0luBPXfNqx9lmXOnJmRs0ck/PR269atVkViaGioGZEcQkxMjM1pTnFxcbp//75JqeCIQkNDjW2HEt5+yJk/mHp0C4wSJUowhRA2cf2qbR4eHiyk9ohBgwZp5cqVeu+999SwYUPVq1fP7EgpRpFoZ0xnSYzl+21z1g8NUurR/nHW/z+SVLZsWQUFBalXr15ydXWV9GBj9LFjxzr9Bw1Mf7KWcFSVBSasMYUQKcX1q7Y582NPSosWLdSiRQv99ttvCg4OVrNmzXTnzh0FBwerWrVqypIli9kRk0SRaGf37t0zVjNNePthmzO6dOmSRo8erXPnzumVV15Rnz595OnpaXYs0y1YsEDSg4ud//zzT0nSiy++6LSL1kjJf8jizPr06aNu3bqpSpUqxobox48fV968eTV58mST05mL6U/WkttyyNmdP39e+fLlMzsG0gA+8Lft0ZkJknTr1i1ly5bNhDSOITY2VtHR0Xr55ZfVr18/9erVS9u3b9fSpUs1fPhwHT582OyISaJItLNHVzdNeNtZn1gGDhyoQoUKqVGjRtqyZYuCgoIUFBRkdizTeXh4aMaMGZo1a5bc3NxksVgUExOjDh066OOPPzY7nikSLuaT8HZ8fLzOnz9vYjJzbd26VUOHDlVoaKhOnz6t+Ph4tWnThlVNxfSnR505c0aenp7GB3EbN27U+vXrlSdPHnXp0sWhP9V+2j799FNjmmCXLl00ZcoUkxPBUXH9qm0//fSTXF1dVbBgQcXGxuqjjz7S3r179dxzz2n69OkqVaqU2RHtbty4cSpQoIDeffddSQ/2S69WrZpu3bqV5EKWjoIi0c527NhhdgSHc/XqVc2dO1eS9Oabb6phw4YmJ3IMs2bN0k8//aTg4GAVLFhQknT27FkNGTJEFovF2OrAmXz11VdmR3BIW7duVVBQkLJkyaIyZcqobNmy8vX1NTuWQ2D6k7W+ffsa10/973//0+eff66PP/5Yp0+f1vDhw42FoZxRwr+VCxcumJgEjo7rV21bsWKFWrZsKUnasGGDLl++rB9//FHHjh3TuHHjtHTpUpMT2l9ISIh69eqV6HyjRo309ddfm5Ao5SgSYbqEK4S5uLg49RNsQqtWrdLy5cuVNWtW41zBggU1depUNWnSxCmLxOSur7t+/bodkziWmTNnKi4uTsePH9f+/fu1efNmjRo1SlmzZlXZsmUdfi+mp8nW9Cdndu/ePfn4+EiSNm/erAYNGqh9+/aKjY1NUwsqPA1MZ0dKcf2qba6urkqXLp0kad++fapXr568vLwUEBCgCRMmmJzOHLGxsXJxcUl0Pi2836VIhOke3Q/w0WNn3A9QevBkm7BAfOi5555LcultZ3Dt2jWFhoaqSJEicnNzU3h4uGbOnKlVq1Zp//79ZsczjYuLi1599VW9+uqreuutt7Rv3z5988032rRpk1MXiVOnTk3yhdhisaSZpchTS8I3K7/++qvxqb+rq6ux6JGzSrjIka0Fj5xtkSM8nu3bt6ty5cpmxzBFbGys7t+/r3Tp0unQoUNW7+WcdaXtqKgoRUZGyt3d3er83bt3FR0dbVKqlHHed5pwGEwhtM1isSg0NFTZs2e3On/lyhWTEplv+fLl+uKLL/Tcc8/J09NT3bp1U9++fVWxYkUFBwebHc80Z8+eVUhIiEJCQnTq1Cnly5dP/v7+Gj16tF599VWz45nq7bffTnTu9u3b+vrrr3Xjxg0TEpkrR44cWrx4sbJnz67jx4+rXLlykqTo6GinfRP3UP/+/Y3bLHaEf7Np0yZdvnxZlSpVUoECBbR7925NmDBBUVFRTlskVq1aVW3atNHzzz8vi8UiPz8/SdLff/+tzJkzm5zOHDVr1lSfPn00cuRI45rv27dva9CgQapevbrJ6ZJnieeCDcAhfffdd1q0aJH69u2r119/XZJ05MgRBQUF6b333lPTpk1NTmh/tWrV0sSJE1WoUCEdPHhQrVu31pdffunwT7RPW5EiRVSiRAl9/PHHeuuttxx+CotZoqOjtXDhQi1YsEDVqlXTJ598Ii8vL7Nj2dWlS5f0xRdfKDQ0VO3atVOdOnUkSbt27VJISIhT75MIpNTw4cO1e/duFStWTL/99psqVqyo1atXq2vXrmrWrJlTj8p///33unLlimrVqiVvb29JD1bbvnHjhipWrGhyOvuLiYlR3759tX37dmP15PPnzyswMFBBQUEOPTOMIhGm69evn9WxxWKRl5eXKlSooDfeeMOkVI5h9erVmjp1qi5evCiLxaLcuXOrU6dOql+/vtnRTFGvXj2tWbPGOK5evbq+//57ExM5hp07d2r//v3av3+/oqKiVLJkSZUpU0ZlypQxXqSdWVxcnJYvX64ZM2aoTJky6tq1q3Lnzm12LFPcu3dPGTJksNl29uxZY5EsZzR+/Hh99tlnkh5c5pBwqtzAgQM1bNgws6LBwVSvXl3BwcHKnDmzwsLCVKlSJa1du1b58+c3O5rpTp8+rfPnz6tw4cJsKZPAn3/+qRMnTkiSXnnlFeXNm9fkRP/OcctXOI3ixYsnOnfjxg0NHTpUrVu3VrNmzUxIZb4zZ86oePHimjFjhrGCmsVikcVi0ZkzZ/TSSy+ZnND+7t+/b7W3qIuLi9WxM/aJ9GBK5cNplXfv3tXBgwe1f/9+TZ48WRaLxakL6U2bNmnSpEnKnz+/Zs+erUKFCpkdyVSdO3fWzJkzE410nD17Vh988IF2795tUjLz7dmzxygSFy9ebFUkHjt2zKxYcEDu7u7G9EkvLy/ly5ePAlHSwoULNXnyZOXPn1/nzp3T0KFDVbNmTbNjOYS8efOmicIwIYpEmO7hwgmPeu+999SmTRunLRI7dOhgc9rg3bt39c8//+jkyZMmpDLXo/uMSv9/r1GLxaLt27ebEcthhIeHKyQkRL/88otCQkJ05coVvfbaa2bHMtWnn36qnDlzKl26dJo6dWqidmdbjMTLy0s9evTQhAkTjOeXhwXiwwLJWSWcWPXoJCsmXSGh8PBwLV682Di+ffu21XFS72uedcuWLdP69euVI0cOnTlzRp9//jlFYhpGkQiH5eHh4dTXVj26p2ZERITmz5+vJUuWqE2bNuaEMtm2bdtsLiXt7IYMGaL9+/fr4sWLevXVV1WmTBkNHjxYfn5+Sp8+vdnxTDVy5Einfh551MiRI9W1a1cNGjRIw4YN09mzZ9WmTRv17NmTLTCS2QKDvyEkVL58eavR5XLlyjHaLCl9+vTKkSOHpAcze+7du2dyIjwJikQ4rNDQUF6Y9eCi56VLl2r27NkKCAjQypUrE6146iwaNWqkVatWmR3D4Xh4eOjzzz9XyZIlk7zezFk1bNjQ7AgOxcXFRePHj9fHH3+sfv366ccff1Tv3r2NBWyc2cNtL+Lj4622wIiPj9fff/9tcjo4kubNmzv9LA1b7ty5o127diV5HBAQYEYsPCYWroHpbG12fePGDf3444/q16+fatSoYUIqx/Bw4ZrixYurW7duTn/NQ/369bV69WqzYyANYTESaw/fsN29e1dDhw7VW2+9pVq1ahntzvwm7tEPoCwWi9U00wYNGtg7EhxUgwYN+MDShlatWiXZZrFYtHDhQjumwZNiJBGmy5Qpk9WxxWJRnjx59OGHHzr1Snt16tRRRESEunTpouLFiys2NlZnzpwx2p1xkZbo6GirhWoe5Yx9guSxGIm1OXPmGLcLFSqky5cvG+csFotTF4kNGjTQ0aNHNXfuXJ09e1bSgz764IMPGDWCFcZXbFu0aJHZEZCKKBJhus6dOxsvzGfOnJHFYlGhQoVsrnrqTO7evStJxgqVCV+UnHWRlr/++ksdOnSw+QLtrH2C5LEYiTXexCXt8OHD6tChg5o1a6Y6deooPj5e//vf//Thhx9q9uzZxn61wI0bN6wWqnmUsy5cc+nSJatji8UiT09PLoNIoygSYbqHL8zNmze3emFu166dU78wP7pwDR6MFDLdFP8Fi5GkzPXr1zV79uxE+9Y6kzlz5mjkyJGqWrWqca5q1ap67bXXNGvWLE2fPt3EdHAkUVFRTjkT4d80bNgw0Yfad+7cUYkSJTRmzBjlzJnTxHT4rygSYTpemAE8LQkXIGExEiksLExTp07V5cuXVbNmTVWvXl2TJk3SkiVLnH6p+jNnzli9Dj1UpUoVjR071oREcFS+vr4aNWqU2TEczs8//5zoXGxsrJYtW6Zhw4ZpxowZJqTC46JIhOl4YUZKlSxZ0uwISGP69+9v3K5UqZJV29tvv23nNOYbMGCAMmXKpICAAG3cuFFLliyR9GB/s8KFC5uczlwZM2Z8rDYASXN1dVXLli21YsUKs6PgP6JIhOl4YUZKtWjRwmrxnkexcA0exYqU1i5cuKANGzZIerClTPny5bV79+5EC4g5o/v37ye5MNb9+/dNSARH9e677ybZduHCBeXJk8eOadKG2NhYsyPgP6JIhOl4YUZKdejQIdE5i8Wiu3fv6p9//tHJkydNSAVHltziEpLzLTCRPn16q9t58uShQPw/UVFRat++vc02rl9FQvPnz9dLL72ksmXLWp1fsGCB5s2bp927d5uUzFyRkZGJzt28eVPLli1ToUKFTEiEJ0GRCNPxwoyUenQxn4iICM2fP19LlixRmzZtzAkFh8biEtYSXpdp63jSpElmxHIILBaGlBo9erQGDBigChUqqFevXgoNDVW/fv2UNWtWLV++3Ox4pvHz87NauObh6qbly5fXgAEDTE6H/8oS74xrgANI02JiYrR06VLNnj1bAQEB6ty5s7Jnz252LMDh/dsG4EzPBVImKipKQUFB2rVrl+7fv69PP/1UDRs2NDsWkGoYSQSQpqxevVpTp05V8eLF9fXXXyt//vxmR4ID2759u+7cuaN69epZnV+9erWyZcumwMBAk5KZgyIQSB2hoaE6efKkfH199ddffyk6OtrsSECqYiQRQJpRp04dRUREqEuXLipevHiidhauwaNatGihKVOmyMvLy+p8eHi4PvnkEy1btsykZOa5cOGCZs2apVOnTkmSChcurI4dO7LYBpBCCxYs0Jw5c9S9e3c1btxYFy9e1IABA2SxWDRy5Ej2A8QzgZFEAGnG3bt3JUmTJ09OtGGvxWLR9u3bzYoGBxUdHZ2oQJQkT09PRUREmJDIXAcOHFCXLl3UqFEjdezYUZJ05MgRNWnSRFOmTJG/v7/JCQHHt2fPHq1YsUI5cuSQJOXOnVtff/21Fi9erCZNmmjv3r0mJwSeHCOJAIBnVtWqVbV169b/3PasatGihT799FOVLl3a6vz+/fv15ZdfOuXIKpCaLl68qNy5c5sdA3hiLmYHAICUunTpUpJtx48ft2MSpBWFCxfWunXrEp3fsGGDUy7JHh4enqhAlKTSpUvr5s2b9g8EpEFbtmwxbj+ctv3Qjz/+aO84wFNBkQggzejUqZNxu3HjxlZtn3/+ub3jIA3o0aOHgoKC1KNHDy1cuFALFy5Ujx49NGrUKPXq1cvseHYXExNjc0/auLg49qUFUmjGjBnG7X79+lm1MRqPZwVFIoA0I+Gb25iYmCTbgIfy58+vlStXKk+ePNq7d6/27t2rPHnyaOXKlU65Mm7ZsmUVFBSk2NhY41xsbKzGjBmjMmXKmJgMSDsSvt48+trDaxGeFSxcAyDNsFgsNm/bOgYe8vHxUffu3c2O4RD69Omjbt26qUqVKipWrJikB1O18+bNq8mTJ5ucDkgbeC2CM6BIBJBm3Lt3T2fPnlV8fLzV7YdtwKPGjBmTbHvv3r3tlMQxbN26VUOHDlVoaKhOnz6t+Ph4tWnThlVNgf8gPDxcixcvTnRbkm7cuGFWLCBVUSQCSDOioqLUvn174zjhbcCWTJkymR3BoWzdulVBQUHKkiWLypQpo7Jly8rX19fsWECaUr58eR07dizRbUkqV66cWbGAVMUWGAAAOJG4uDgdP35c+/fv1y+//KJDhw4pa9asKlu2rEaOHGl2PMDhnTlzJtn2l156yU5JgKeHIhFAmhcdHa1ly5apdevWZkeBgxk9erT69u0r6cHS9BUqVDA5kWM5c+aM9u3bp2+++UZXr17V4cOHzY4EOLzAwEBZLBarRWosFovu3r2rf/75RydPnjQxHZA6mG4KIM2IiorSN998o8uXL+udd95R2bJltXTpUk2bNk0vvfQSRSISCQkJMW6PGzfO6YvEs2fPKiQkRCEhITp16pTy5csnf39/jR49Wq+++qrZ8YA0YceOHVbHERERmj9/vpYsWaI2bdqYEwpIZRSJANKMAQMG6MqVK/Lz89P48ePl4+Oj06dPa8SIEQoICDA7HhxQckvVO6NatWqpRIkS+vjjj/XWW2+xEiPwBGJiYrR06VLNnj1bAQEBWrlypbJnz252LCBVUCQCSDNOnDihdevWyc3NTXfu3FHFihW1fft2eXl5mR0NDio6OtpYBTfh7Yec7dqhGTNmaP/+/Zo6darGjRunkiVLqkyZMipTpoy8vb3NjgekGatXr9bUqVNVvHhxff3110657yqebVyTCCDNaNCggVatWmUc169fX6tXrzYvEBxeYGBgkm0Wi0Xbt2+3YxrHcvfuXR08eFD79+/Xli1bZLFY9P3335sdC3B4derUUUREhLp06aLixYsnane2D5/wbKJIBJBmlC9fXvXr1zeOV69ebXXsbHveAY8rPDxcISEh+uWXXxQSEqK///5br732mhYtWmR2NMDhJfzwydYCNs784ROeHRSJANKMqVOnJtveuXNnOyVBWvHLL7+oTJkyZsdwGEOGDNH+/ft18eJFvfrqq8ZeiX5+fkqfPr3Z8QAADoIiEQDwzEo4Rblp06b69ttvTU5krokTJ6ps2bIqWbKkMmTIYHYcAICDcjE7AAA8qe3bt6thw4Zmx4ADSvg56L1790xM4hi6d++ucuXKUSACAJLF6qYA0ozDhw9rwIABunz5smrVqqWPPvpIPXr00PXr19W1a1ez48EBJdzige0eAABIGaabAkgzGjdurEaNGqlMmTLaunWrFixYoDp16qhXr15cTwWbSpQoYaw0eObMmUSrDq5YscKMWAAAODSKRABpRt26dbV27Vrj+K233tKuXbsYIUKSfvnll2TbWdQGAIDEmG4KIM1wdXW1Ovby8qJARLIoAgEA+O8YSQSQZhQrVkzZsmUzjm/duqVs2bIpPj5eFotF+/btMzEdHFG/fv2sji0Wi7y8vFShQgW98cYbJqUCAMCxUSQCSDP+/vvvZNtz5cplpyRIKxYvXpzo3I0bN7Rx40a1bt1azZo1MyEVAACOjSIRAOB0bt68qTZt2mj16tVmRwEAwOFwTSKANKNVq1aJtjR4OHWwUaNGJiZDWuPh4cH1rAAAJIEiEUCa0a5du0Tnbty4oZUrV+ry5cvq3LmzCamQFoWGhlIkAgCQBKabAkjzoqKi1KRJE6vtMQBJGjNmTKJzN2/e1N69e9WvXz/VqFHDhFQAADg2RhIBpHkZM2ZMtD0GIEmZMmVKdC537txq166dChYsaEIiAAAcH0UigDTv999/V4YMGcyOAQfEFGQAAP47ikQAaUbXrl0TXUd248YNnT17VuPHjzcpFRxZSEiI8ubNqxw5ckiSZs+erfXr1yt37twaNGiQsmfPbnJCAAAcD9ckAkgzli9frujoaGMKocVi0fPPP68iRYrohRdeYMopEmnQoIEWLFig5557Tj///LO6d++uQYMG6eTJkzp//rymTJlidkQAABwOI4kA0ow//vhDBQoUUIMGDazOL1++XOfOnVPv3r1NSgZHFRMTo+eee06StGPHDjVq1Eg1a9ZUjRo1VLduXZPTAQDgmFzMDgAAKRUSEmJzP8SGDRtq9+7dJiRCWnLkyBH5+/tLEttfAACQDEYSAaQZsbGxcnFJ/NmWq6srb/ph08svv6yxY8fKx8dH58+fV9myZSVJd+7cMTkZAACOi5FEAGlGVFSUIiMjE52/e/euoqOjTUgERzd48GBFRkYqJCREkyZNMq5nPXr0qBo2bGhyOgAAHBML1wBIMyZNmqSzZ89q5MiRypIliyTp9u3bGjRokF588UV9+umnJicEAABI+ygSAaQZMTEx6tu3r7Zv3658+fJJks6fP6/AwEAFBQXJzY0Z9LC2ePHiJNssFotatGhhxzQAAKQNFIkA0pw///xTJ06ckCS98soryps3r8mJ4Kj69etn8/wvv/yiS5cu6eTJk3ZOBACA46NIBAA4jaNHj2r8+PEKDw/XZ599pkqVKpkdCQAAh8PcLADAM+/s2bOaMGGCfvvtN3Xp0kW1a9dmRVwAAJLASCIA4Jl15coVTZ48WT/99JM6dOigJk2acO0qAAD/giIRAPDMeu211+Tt7a3mzZvL3d09UXvLli1NSAUAgGPj41QAwDOrZs2aslgsOnv2rNlRAABIMxhJBAA8s86cOZNs+0svvWSnJAAApB0UiQCAZ1ZgYKDNBWri4+NlsVi0fft2E1IBAODYKBIBAAAAAAYXswMAAAAAABwHRSIAAAAAwECRCACAnVy8eFGFCxdWTEzMY3392rVr1bZt21ROBQCANa5JBAA4tcDAQF2/fl2urq7KlCmT3nzzTQ0cOFCZM2dO9Z918eJFVa5cWcePH5ebW/K7UP2X+wIAkJoYSQQAOL2ZM2fq8OHDWr16tU6cOKGvvvrK7EgAAJiGIhEAgP/j7e2tihUr6uTJk5KkI0eOqFmzZvL391fdunUVEhJi3HflypWqXLmy/Pz8FBgYqLVr10qS4uLiNH36dL399tsqV66cevfurdu3b9v8eYGBgfrpp5+M4ylTpqhnz56SpPfee0+SVLp0afn5+enw4cNauXKlmjdvbtz/0KFDatSokUqVKqVGjRrp0KFDRlurVq00ceJENWvWTH5+fmrbtq3Cw8NTqacAAM8yikQAAP7PlStXtGfPHr344osKDQ3VRx99pI8//li//PKL+vTpo65duyo8PFwREREaPny4Zs+ercOHD2vZsmUqWrSopAfF46pVq7Rw4UJt27ZNERERGjp06H/O8s0330iS9u/fr8OHD8vPz8+q/ebNm/roo4/UqlUrhYSE6IMPPtBHH32kGzduGPdZv369Ro0apX379un+/fuaN2/eE/QOAMBZUCQCAJxep06d5Ofnp4CAAHl6eqpr165as2aN3nrrLQUEBMjFxUUVKlRQ8eLFtWvXLkmSi4uLfv/9d0VFRcnHx0eFChWSJK1bt05t2rRRnjx5lDlzZn322WfauHHjYy9Wk5QffvhBefPmVf369eXm5qbatWurQIEC2rlzp3Gfhg0bKn/+/MqYMaOqV69ujJACAJAcikQAgNObNm2aDh8+rEWLFumPP/7QjRs3dOnSJX3//ffy9/c3/h08eFDXrl1TpkyZNGHCBC1btkwVK1ZUhw4ddPbsWUnS1atXlStXLuN758qVSzExMQoLC0vVzFevXlXOnDmtzuXMmVOhoaHGsbe3t3Hb3d1dERERqZoBAPBsYrk0AAD+T5kyZdSwYUMFBQXp9ddfV7169TR8+HCb933zzTf15ptvKioqShMnTtTAgQO1ZMkS+fj46O+//zbud+nSJbm5ucnLy0tXrlyx+h7u7u6KjIw0jq9du2bctlgsyWb18fHRpUuXrM5dvnxZb775ZoofLwAAtjCSCABAAu+//75++ukn+fn5aefOndqzZ49iY2N17949hYSE6MqVK7p+/bpxvWH69OmVKVMmubg8eEmtXbu2vv76a124cEF3797VhAkTVKNGDZvbWBQpUkQbN27U/fv39b///U+bN2822jw9PeXi4qILFy7YzBkQEKDz589r3bp1iomJ0caNG3XmzBlVqlTpqfQLAMB5UCQCAJCAp6en6tWrp0WLFmn69OmaNWuWypUrp4CAAM2dO1dxcXGKi4vTggUL9Oabb6pMmTLav3+/hgwZIklq1KiR6tatq/fee0+VK1dW+vTpNXDgQJs/q3v37vrrr79UpkwZTZkyRXXq1DHa3N3d1bFjRzVv3lz+/v46cuSI1dc+//zzmjlzpubPn6+yZctqzpw5mjlzpjw9PZ9W1wAAnIQlPj4+3uwQAAAAAADHwEgiAAAAAMBAkQgAAAAAMFAkAgAAAAAMFIkAAAAAAANFIgAAAADAQJEIAAAAADBQJAIAAAAADBSJAAAAAADD/wNWuX/pJAzjsgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vc.plot.bar()\n",
    "plt.xlabel(\"Resolution\")\n",
    "plt.ylabel(\"Number of Bugs\")\n",
    "plt.title(\"Bug distribution across different Resolutions\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "36a6bfb6",
   "metadata": {},
   "source": [
    "From the above graph, we can infer that we have most values available for resolution, even though we have many values as empty, this looks like a promising parameter."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a73fbbd",
   "metadata": {},
   "source": [
    "### cf_doc_type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "790c7779",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "If docs needed, set a value    2188\n",
       "No Doc Update                   375\n",
       "Bug Fix                         224\n",
       "Enhancement                      13\n",
       "Release Note                      8\n",
       "Known Issue                       5\n",
       "Removed functionality             2\n",
       "Name: cf_doc_type, dtype: int64"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vc = bugs_df[\"cf_doc_type\"].value_counts()\n",
    "vc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "aee95ea7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vc.plot.bar()\n",
    "plt.xlabel(\"Doc Type\")\n",
    "plt.ylabel(\"Number of Bugs\")\n",
    "plt.title(\"Bug distribution across different Doc Types\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb1e45a1",
   "metadata": {},
   "source": [
    "From the above graph, we see that most of the tickets have the value for `doc_type`. This could be used to classify the tickets according to the doc type."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3ef192c5",
   "metadata": {},
   "source": [
    "### op_sys : Operating Systems"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "5f6142a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unspecified    2419\n",
       "Linux           333\n",
       "All              59\n",
       "Windows           2\n",
       "Mac OS            2\n",
       "Name: op_sys, dtype: int64"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vc = bugs_df[\"op_sys\"].value_counts()\n",
    "vc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "b39c3b7e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vc.plot.bar()\n",
    "plt.xlabel(\"Operating System\")\n",
    "plt.ylabel(\"Number of Bugs\")\n",
    "plt.title(\"Bug distribution across different Operating Systems\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33c22403",
   "metadata": {},
   "source": [
    "From the above graph, we can see that we have four OS(s) across the bugs."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "09532f35",
   "metadata": {},
   "source": [
    "### target_release"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "4ca08a1a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bugs_df[\"target_release\"].value_counts().plot.bar()\n",
    "plt.xlabel(\"Target Release\")\n",
    "plt.ylabel(\"Number of Bugs\")\n",
    "plt.title(\"Bug distribution across different Target Releases\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd4a9c18",
   "metadata": {},
   "source": [
    "From the above graph, we see the various target releases frequency. This value also is mostly not assigned but we still have many observations."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d12c393f",
   "metadata": {},
   "source": [
    "### status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "db671141",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CLOSED             2074\n",
       "NEW                 218\n",
       "VERIFIED            207\n",
       "ASSIGNED            200\n",
       "POST                 80\n",
       "ON_QA                27\n",
       "MODIFIED              7\n",
       "RELEASE_PENDING       2\n",
       "Name: status, dtype: int64"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vc = bugs_df[\"status\"].value_counts()\n",
    "vc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "7c3c1975",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vc.plot.bar()\n",
    "plt.xlabel(\"Status\")\n",
    "plt.ylabel(\"Number of Bugs\")\n",
    "plt.title(\"Bug distribution across different Statuses\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9be34207",
   "metadata": {},
   "source": [
    "The above graph, shows various status across tickets."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03bcff7f",
   "metadata": {},
   "source": [
    "### External Bugs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "eee8ecef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>external_bugs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>[]</th>\n",
       "      <td>1259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>[{'ext_description': 'Bug 1932114: Detect Nodes Network MTU', 'ext_bz_id': 131, 'ext_priority': 'None', 'bug_id': 1932114, 'ext_bz_bug_id': 'openshift/cluster-network-operator/pull/1070', 'id': 1781667, 'ext_status': 'open', 'type': {'must_send': False, 'can_send': False, 'description': 'Github', 'can_get': True, 'url': 'https://github.com/', 'id': 131, 'send_once': False, 'type': 'GitHub', 'full_url': 'https://github.com/%id%'}}, {'ext_description': 'Bug 1932114: Allow to config network MTU', 'ext_bz_id': 131, 'ext_priority': 'None', 'bug_id': 1932114, 'ext_bz_bug_id': 'openshift/kuryr-kubernetes/pull/506', 'id': 1781668, 'ext_status': 'open', 'type': {'must_send': False, 'can_send': False, 'description': 'Github', 'can_get': True, 'url': 'https://github.com/', 'id': 131, 'send_once': False, 'type': 'GitHub', 'full_url': 'https://github.com/%id%'}}]</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>[{'ext_description': '[release-4.5] Bug 1880318: Update k8s version to v0.18.6', 'ext_bz_id': 131, 'ext_priority': 'None', 'bug_id': 1880318, 'ext_bz_bug_id': 'openshift/insights-operator/pull/284', 'id': 1702231, 'ext_status': 'closed', 'type': {'must_send': False, 'can_send': False, 'description': 'Github', 'can_get': True, 'url': 'https://github.com/', 'id': 131, 'send_once': False, 'type': 'GitHub', 'full_url': 'https://github.com/%id%'}}, {'ext_description': 'None', 'ext_bz_id': 139, 'ext_priority': 'None', 'bug_id': 1880318, 'ext_bz_bug_id': 'RHBA-2021:0033', 'id': 1724581, 'ext_status': 'None', 'type': {'must_send': False, 'can_send': False, 'description': 'Red Hat Product Errata', 'can_get': False, 'url': 'https://access.redhat.com/errata/', 'id': 139, 'send_once': False, 'type': 'None', 'full_url': 'https://access.redhat.com/errata/%id%'}}]</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>[{'ext_description': 'None', 'ext_bz_id': 139, 'ext_priority': 'None', 'bug_id': 1915007, 'ext_bz_bug_id': 'RHSA-2021:0037', 'id': 1723319, 'ext_status': 'None', 'type': {'must_send': False, 'can_send': False, 'description': 'Red Hat Product Errata', 'can_get': False, 'url': 'https://access.redhat.com/errata/', 'id': 139, 'send_once': False, 'type': 'None', 'full_url': 'https://access.redhat.com/errata/%id%'}}]</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>[{'ext_description': 'None', 'ext_bz_id': 139, 'ext_priority': 'None', 'bug_id': 1880354, 'ext_bz_bug_id': 'RHBA-2020:4196', 'id': 1641543, 'ext_status': 'None', 'type': {'must_send': False, 'can_send': False, 'description': 'Red Hat Product Errata', 'can_get': False, 'url': 'https://access.redhat.com/errata/', 'id': 139, 'send_once': False, 'type': 'None', 'full_url': 'https://access.redhat.com/errata/%id%'}}]</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    external_bugs\n",
       "[]                                                           1259\n",
       "[{'ext_description': 'Bug 1932114: Detect Nodes...              1\n",
       "[{'ext_description': '[release-4.5] Bug 1880318...              1\n",
       "[{'ext_description': 'None', 'ext_bz_id': 139, ...              1\n",
       "[{'ext_description': 'None', 'ext_bz_id': 139, ...              1"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bugs_df[\"external_bugs\"].value_counts().to_frame().head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b63a36a",
   "metadata": {},
   "source": [
    "### platform\n",
    "\n",
    "The `platform` field indicates the hardware platform the bug was observed on."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "5f6f3cc6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unspecified    2381\n",
       "x86_64          249\n",
       "All             126\n",
       "s390x            36\n",
       "ppc64le          22\n",
       "ppc64             1\n",
       "Name: platform, dtype: int64"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vc = bugs_df[\"platform\"].value_counts()\n",
    "vc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "b89684da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vc.plot(kind=\"bar\")\n",
    "plt.xlabel(\"Platform\")\n",
    "plt.ylabel(\"Number of Bugs\")\n",
    "plt.title(\"Bug distribution across different Bug Platforms\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "788f6e90",
   "metadata": {},
   "source": [
    "### severity\n",
    "\n",
    "The `severity` field categorzies the severity level of each bug. Let's see the different severity levels defined. Let's plot a simple graph to visualize the distribution of bug severities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "52ad4a25",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "high           1011\n",
       "medium          962\n",
       "urgent          350\n",
       "low             329\n",
       "unspecified     163\n",
       "Name: severity, dtype: int64"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vc = bugs_df[\"severity\"].value_counts()\n",
    "vc"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8fb41115",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "53d9d14b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vc.plot(kind=\"bar\")\n",
    "plt.xlabel(\"Severity Level\")\n",
    "plt.ylabel(\"Number of Bugs\")\n",
    "plt.title(\"Bug distribution across different Bug Severities\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "773c657e",
   "metadata": {},
   "source": [
    "### cf_environment\n",
    "\n",
    "Not too sure what `cf_environment` is supposed to return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "f0e33f3b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cf_environment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Undiagnosed panic detected in pod</th>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>[sig-cluster-lifecycle] cluster upgrade should be fast</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>[sig-arch] Managed cluster should have no crashlooping pods in core namespaces over four minutes [Suite:openshift/conformance/parallel]</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>test: operator</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>[sig-arch][Feature:ClusterUpgrade] Cluster should remain functional during upgrade [Disruptive] [Serial]</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>[sig-network][Feature:Router] The HAProxy router should expose prometheus metrics for a route</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>[sig-network-edge][Conformance][Area:Networking][Feature:Router] The HAProxy router should pass the h2spec conformance tests [Suite:openshift/conformance/parallel/minimal]</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>operator.Run multi-stage test e2e-ovirt - e2e-ovirt-ipi-install-install container test</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>[sig-scheduling] Multi-AZ Clusters should spread the pods of a replication controller across zones</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>test: Overall</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>145 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    cf_environment\n",
       "Undiagnosed panic detected in pod                               13\n",
       "[sig-cluster-lifecycle] cluster upgrade should ...               4\n",
       "[sig-arch] Managed cluster should have no crash...               4\n",
       "test: operator                                                   3\n",
       "[sig-arch][Feature:ClusterUpgrade] Cluster shou...               3\n",
       "...                                                            ...\n",
       "[sig-network][Feature:Router] The HAProxy route...               1\n",
       "[sig-network-edge][Conformance][Area:Networking...               1\n",
       "operator.Run multi-stage test e2e-ovirt - e2e-o...               1\n",
       "[sig-scheduling] Multi-AZ Clusters should sprea...               1\n",
       "test: Overall                                                    1\n",
       "\n",
       "[145 rows x 1 columns]"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bugs_df[\"cf_environment\"].value_counts().to_frame()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a1beec2",
   "metadata": {},
   "source": [
    "### version\n",
    "\n",
    "The `version` field indicates the version of the software the bug was found in. Let's plot a simple graph to visualize the distribution of bugs across different software versions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "5e1b58f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4.6             821\n",
       "4.5             617\n",
       "4.7             601\n",
       "4.8             240\n",
       "4.4             234\n",
       "4.6.z           117\n",
       "4.3.z            79\n",
       "4.3.0            41\n",
       "4.2.0            22\n",
       "4.2.z            17\n",
       "2.5.0             6\n",
       "unspecified       3\n",
       "1.3.0             3\n",
       "2.4.0             2\n",
       "8.2               2\n",
       "RHEL 8.0          1\n",
       "FDB 18.11         1\n",
       "rhacm-1.0.z       1\n",
       "2.6.1             1\n",
       "FDP 20.E          1\n",
       "16.1 (Train)      1\n",
       "FDP 20.F          1\n",
       "rhacm-2.2.z       1\n",
       "2.3.0             1\n",
       "2.4.1             1\n",
       "Name: version, dtype: int64"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vc = bugs_df[\"version\"].value_counts()\n",
    "vc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "id": "218df908",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vc.plot(kind=\"bar\")\n",
    "plt.ylabel(\"Number of Bugs\")\n",
    "plt.xlabel(\"Software Versions\")\n",
    "plt.title(\"Bug distribution across different Software Versions\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47914942",
   "metadata": {},
   "source": [
    "### component\n",
    "\n",
    "Bugs are categorised into Product and Component. Components are second-level categories and the `component` field indicates which component is affected by the bug."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "id": "c67f8959",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Networking                 374\n",
       "Node                       178\n",
       "Storage                    169\n",
       "OLM                        157\n",
       "Machine Config Operator    147\n",
       "                          ... \n",
       "DPDK                         1\n",
       "Eventing                     1\n",
       "OVN                          1\n",
       "SSP                          1\n",
       "Templates                    1\n",
       "Name: component, Length: 82, dtype: int64"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vc = bugs_df[\"component\"].value_counts()\n",
    "vc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "id": "9b0eaf24",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vc.plot(kind=\"bar\")\n",
    "plt.xlabel(\"Component\")\n",
    "plt.ylabel(\"Number of Bugs\")\n",
    "plt.title(\"Bug distribution across different components\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9664faa5",
   "metadata": {},
   "source": [
    "### sub_component\n",
    "\n",
    "The `sub_component` field indicates the sub-component of a specifc component the bug affects."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "id": "efe37abf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ovn-kubernetes                    145\n",
       "openshift-sdn                     143\n",
       "OLM                               137\n",
       "Kubelet                            86\n",
       "Operators                          64\n",
       "CRI-O                              48\n",
       "openshift-installer                47\n",
       "Other Providers                    45\n",
       "kuryr                              37\n",
       "Kubernetes                         24\n",
       "Storage                            22\n",
       "OpenShift on RHV                   21\n",
       "assisted-service                   21\n",
       "multus                             20\n",
       "SR-IOV                             20\n",
       "OperatorHub                        20\n",
       "OpenShift on OpenStack             19\n",
       "OpenShift on Bare Metal IPI        16\n",
       "OpenStack CSI Drivers              15\n",
       "Local Storage Operator             13\n",
       "Autoscaler (HPA, VPA)              12\n",
       "oVirt CSI Driver                    9\n",
       "cluster-baremetal-operator          7\n",
       "Kubernetes External Components      7\n",
       "OpenStack Provider                  7\n",
       "ironic                              6\n",
       "oVirt Provider                      6\n",
       "BareMetal Provider                  6\n",
       "openshift-ansible                   5\n",
       "assisted-ui                         4\n",
       "mDNS                                4\n",
       "runtime-cfg                         4\n",
       "operator                            3\n",
       "Installer                           3\n",
       "controller-manager                  3\n",
       "apps                                2\n",
       "Single Node OpenShift               2\n",
       "KubeVirt Provider                   2\n",
       "baremetal-operator                  2\n",
       "stand-alone                         2\n",
       "operand                             2\n",
       "CPU manager                         2\n",
       "Cluster Autoscaler                  1\n",
       "OpenShift on KubeVirt               1\n",
       "Networking Misc                     1\n",
       "discovery-agent                     1\n",
       "build                               1\n",
       "other                               1\n",
       "Name: sub_component, dtype: int64"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vc = bugs_df[\"sub_component\"].value_counts()\n",
    "vc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "id": "45373b19",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vc.plot(kind=\"bar\")\n",
    "plt.xlabel(\"Subcomponent\")\n",
    "plt.ylabel(\"Number of Bugs\")\n",
    "plt.title(\"Bug distrbution across different subcomponents\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5dd2de3d",
   "metadata": {},
   "source": [
    "### product\n",
    "\n",
    "The `product` field indicates the software product affected by the bug."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "id": "d281f298",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "OpenShift Container Platform                          2787\n",
       "Container Native Virtualization (CNV)                   11\n",
       "Red Hat Enterprise Linux Fast Datapath                   4\n",
       "Migration Toolkit for Containers                         3\n",
       "Red Hat Advanced Cluster Management for Kubernetes       2\n",
       "Red Hat OpenShift Pipelines                              2\n",
       "Red Hat OpenShift Container Storage                      2\n",
       "Red Hat Enterprise Linux 8                               2\n",
       "OpenShift Serverless                                     1\n",
       "Red Hat OpenStack                                        1\n",
       "Name: product, dtype: int64"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vc = bugs_df[\"product\"].value_counts()\n",
    "vc"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c3cc5da",
   "metadata": {},
   "source": [
    "Let's plot a simple graph to visualize the distribution of bugs across different products"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "id": "27e7a46d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vc.plot(kind=\"bar\")\n",
    "plt.xlabel(\"Software Products\")\n",
    "plt.ylabel(\"Number of Bugs\")\n",
    "plt.title(\"Bug distrbution across different software products\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa341068",
   "metadata": {},
   "source": [
    "### fixed_in"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "id": "172af9c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     NaN\n",
       "1     NaN\n",
       "2     NaN\n",
       "3     NaN\n",
       "4     NaN\n",
       "5     NaN\n",
       "6     NaN\n",
       "7     NaN\n",
       "8     NaN\n",
       "9     NaN\n",
       "10    NaN\n",
       "11    NaN\n",
       "12    NaN\n",
       "13    NaN\n",
       "14    NaN\n",
       "Name: fixed_in, dtype: object"
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bugs_df[\"fixed_in\"][:15]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "522bae43",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([nan, 'assisted-ui-lib v0.0.13-wizard',\n",
       "       'cri-o-1.20.2, openshift 4.7.4', 'jkaur@redhat.com',\n",
       "       'OCP-Metal-v1.0.18.2', 'runc-1.0.0-82.rhaos4.6.git086e841.el8',\n",
       "       'podman-1.6.4-11.rhaos4.3.el8', 'OCP-Metal-v1.0.12.1', '2.5.0',\n",
       "       'v0.1.10', '4.8', 'cri-o-1.19.0-62.rhaos4.6.git10c7a86.el8',\n",
       "       '4.6.4', 'podman-1.9.3-1.rhaos4.6.el8', 'OCP-Metal-V1.0.17.3',\n",
       "       '4.7.0-0.nightly-2020-12-17-001141',\n",
       "       'runc-1.0.0-81.rhaos4.6.git5b757d4', 'OCP-Metal-v1.0.9.5',\n",
       "       'milei@redhat.com , annair@redhat.com',\n",
       "       'runc-1.0.0-67.rc10.rhaos4.3.el7', 'OCP-Metal-v1.0.18.1',\n",
       "       'annair@redhat.com, milei@redhat.com', 'facet-lib v1.4.9',\n",
       "       'virt-cdi-importer 2.6.0-15'], dtype=object)"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bugs_df[\"fixed_in\"].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0aac060",
   "metadata": {},
   "source": [
    "The `fixed_in` field seems to indicate the software version the bug was fixed in. However, it doesn't seem to be applicable to all bugs as some bugs may still be open and not yet resolved."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4766704e",
   "metadata": {},
   "source": [
    "### summary\n",
    "\n",
    "The bug summary is a short sentence which succinctly describes what the bug is about."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "id": "0a219faa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                                                     NaN\n",
       "1       OCP nodes with low disk space after ~20-40 day...\n",
       "2       [OSP] Bootstrap and master nodes use different...\n",
       "3                                                     NaN\n",
       "4       ovnkube-node/ovn-controller does not scale - r...\n",
       "                              ...                        \n",
       "2952    4.7 to 4.6 downgrade stuck at openshift-apiser...\n",
       "2953    \"installed\" operator status in operatorhub pag...\n",
       "2954    Need new section to address horizontal-pod-aut...\n",
       "2955        New version of OCP 4.6 uses unreleased kernel\n",
       "2956    Upgrade to OCP 4.6.9 results in cluster-wide D...\n",
       "Name: summary, Length: 2957, dtype: object"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bugs_df[\"summary\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "8e5cd7b4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nan\n"
     ]
    }
   ],
   "source": [
    "print(bugs_df[\"summary\"].iloc[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d937337",
   "metadata": {},
   "source": [
    "### is_open"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "id": "559b7727",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False    2074\n",
       "True      741\n",
       "Name: is_open, dtype: int64"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vc = bugs_df[\"is_open\"].value_counts()\n",
    "vc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "ec2e0ed8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vc.plot.bar()\n",
    "plt.xlabel(\"is_open\")\n",
    "plt.ylabel(\"Number of Bugs\")\n",
    "plt.title(\"Bug distribution across different is_open values\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "886aefac",
   "metadata": {},
   "source": [
    "## Contact Metadata\n",
    "\n",
    "These fields contain information for people responsible for QA, creation of bug, etc. These are not useful for the initial EDA.\n",
    "\n",
    "- `docs_contact_value` and `qa_contact`: The people responsible for contacting and fixing the bug.\n",
    "- `creator`: The person who created the bug.\n",
    "- `assigned_to`: The person responsible for fixing the bug.\n",
    "- `cc`: The mailing list subscribed to get updates for a bug."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d31c8746",
   "metadata": {},
   "source": [
    "## Non Useful Metadata\n",
    "\n",
    "These fields mostly had either the same value or empty. Therefore, these are not useful for our analysis.\n",
    "\n",
    "- `tags`: The tags field seems to be empty for most bugs so we can probably ignore this field.\n",
    "- `flags`: The flags field seems to return empty for most bugs. For thos bugs which have this field set, it seems to have redundant information which are already available in other bug fields so we can probably ignore this field.\n",
    "- `is_creator_accessible`: The is_creator_accessible field returns a boolean value, but doesn't seem to be useful for our analysis.\n",
    "- `cf_release_notes`: The cf_release_notes is the basis of the errata or release note for the bug. It can also be used for change logs. However, it seems to be empty for most bugs and can be excluded from our analysis.\n",
    "- `target_milestone`: The target_milestone is used to define when the engineer the bug is assigned to expects to fix it. However, it doesn't seem to be applicable for most bugs.\n",
    "- `is_confirmed`: The is_confirmed field seems to return a boolean value (not sure what it indicates) and doesn't seem to be useful for our analysis.\n",
    "- `components`: The components field returns the same values as the component field, but in a list format.\n",
    "- `sub_components` - The sub_components field is similar to the sub_component field, but returns both the component and sub-component affected by the bug in a dictionary format.\n",
    "- `versions`: The versions field returns the same values as the version field, but in a list format."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "295c3235",
   "metadata": {},
   "source": [
    "# Conclusion\n",
    "\n",
    "In this notebook, we show how the bug ids related to each test under each job for all dashboards can be determined, and saved a sample of this mapping as the linked-bugs dataset. We also showed how detailed information for a set of bug ids can be collected, and saved a sample of this dataset as the bug-details dataset. These datasets open up several avenues for exploration, such as in-depth bugs data EDA, and EDA for testgrid + bugs datasets put together, which we will explore in future notebooks."
   ]
  }
 ],
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