notebooks/02_analyses/contributor_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Contributor Analysis\n",
    "\n",
    "This notebook ingests the preprocessed data from `../interim/metadata` downloaded by `download_datasets.ipynb` and quantifies the activity of individual contributors to the mailing list, including frequency of initial senders to a thread, and frequency of all replies to existing threads in the mailing list. Both of these analyses are performed on monthly intervals.\n",
    "\n",
    "Finally, the analyses are merged and saved as a single csv file that is pushed to remote storage for visualization with Superset. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "import datetime\n",
    "import re\n",
    "from pathlib import Path\n",
    "from dotenv import load_dotenv\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "load_dotenv(\"../../.env\")\n",
    "\n",
    "import sys\n",
    "\n",
    "sys.path.append(\"../..\")\n",
    "from src import utils"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "BASE_PATH = os.getenv(\"LOCAL_DATA_PATH\", \"../../data/\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = utils.load_dataset(f\"{BASE_PATH}/interim/metadata/\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Message-ID</th>\n",
       "      <th>Date</th>\n",
       "      <th>Subject</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>&lt;CAJCQCtQ=Rif-5LcbHPB=CJ3+c7U20yqyiqShVTTaQH7P...</td>\n",
       "      <td>Thu, 31 Dec 2020 17:49:41 -0700</td>\n",
       "      <td>Re: Fedora 34 Change: Enable btrfs transparent...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>&lt;45a1abbe39ccd56d4dd3b62d09214e78ae5fa699.came...</td>\n",
       "      <td>Thu, 31 Dec 2020 17:10:44 -0800</td>\n",
       "      <td>Re: Thoughts about packaging a standalone pyth...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&lt;alpine.DEB.2.22.394.2012312201030.356797@bear...</td>\n",
       "      <td>Thu, 31 Dec 2020 22:02:44 -0500</td>\n",
       "      <td>Re: Thoughts about packaging a standalone pyth...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&lt;CAJP_izfLFAVL4CTFzS7=W7T6izt_WQG81Ys=GqdQ3yZG...</td>\n",
       "      <td>Thu, 31 Dec 2020 23:03:56 -0500</td>\n",
       "      <td>License change: R-usethis GPLv3 -&gt; MIT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&lt;20210101073305.9666D3052DF1@bastion01.iad2.fe...</td>\n",
       "      <td>Fri, 01 Jan 2021 07:33:05 +0000</td>\n",
       "      <td>Fedora-Cloud-33-20210101.0 compose check report</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          Message-ID  \\\n",
       "0  <CAJCQCtQ=Rif-5LcbHPB=CJ3+c7U20yqyiqShVTTaQH7P...   \n",
       "1  <45a1abbe39ccd56d4dd3b62d09214e78ae5fa699.came...   \n",
       "2  <alpine.DEB.2.22.394.2012312201030.356797@bear...   \n",
       "3  <CAJP_izfLFAVL4CTFzS7=W7T6izt_WQG81Ys=GqdQ3yZG...   \n",
       "4  <20210101073305.9666D3052DF1@bastion01.iad2.fe...   \n",
       "\n",
       "                              Date  \\\n",
       "0  Thu, 31 Dec 2020 17:49:41 -0700   \n",
       "1  Thu, 31 Dec 2020 17:10:44 -0800   \n",
       "2  Thu, 31 Dec 2020 22:02:44 -0500   \n",
       "3  Thu, 31 Dec 2020 23:03:56 -0500   \n",
       "4  Fri, 01 Jan 2021 07:33:05 +0000   \n",
       "\n",
       "                                             Subject  \n",
       "0  Re: Fedora 34 Change: Enable btrfs transparent...  \n",
       "1  Re: Thoughts about packaging a standalone pyth...  \n",
       "2  Re: Thoughts about packaging a standalone pyth...  \n",
       "3             License change: R-usethis GPLv3 -> MIT  \n",
       "4    Fedora-Cloud-33-20210101.0 compose check report  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  Minor preprocessing\n",
    "\n",
    "Here we need to do some minor cleaning to the \"subject\", \"text\" and \"date\" fields to correctly rearrange the dataframe so that all messages from the same thread are grouped together. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get all participants regradles of response\n",
    "def match_threads(subject):\n",
    "    return re.sub(r\"^{0}\".format(re.escape(\"Re: \")), \"\", subject)\n",
    "\n",
    "\n",
    "# remove trailing emials\n",
    "def remove_email(text):\n",
    "    return re.sub(r\" <.*\", \"\", text)\n",
    "\n",
    "\n",
    "# convert date string to datetime object\n",
    "def parse_date(date):\n",
    "    return pd.to_datetime(date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Message-ID</th>\n",
       "      <th>Date</th>\n",
       "      <th>Subject</th>\n",
       "      <th>Chunk</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>&lt;57d76b65c8c848f7e1b83e56ff8f094ce3855479.came...</td>\n",
       "      <td>2018-01-01 02:42:21</td>\n",
       "      <td>Anything we can do to temporarily halt new bug...</td>\n",
       "      <td>2018-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>&lt;20180101172438.GA2871@flame.pingoured.fr&gt;</td>\n",
       "      <td>2018-01-01 17:24:38</td>\n",
       "      <td>[Bug 1529276] New: findbugs-contrib-7.2.0.sb i...</td>\n",
       "      <td>2018-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&lt;20180101220004.0632660A400B@fedocal02.phx2.fe...</td>\n",
       "      <td>2018-01-01 22:00:04</td>\n",
       "      <td>[Fedocal] Reminder meeting : Modularity Office...</td>\n",
       "      <td>2018-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&lt;20180101220004.0E97560A400C@fedocal02.phx2.fe...</td>\n",
       "      <td>2018-01-01 22:00:04</td>\n",
       "      <td>[Fedocal] Reminder meeting : Modularity Office...</td>\n",
       "      <td>2018-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&lt;20180101221314.GA52721@rawhide-composer.phx2....</td>\n",
       "      <td>2018-01-01 22:13:15</td>\n",
       "      <td>Fedora rawhide compose report: 20180101.n.0 ch...</td>\n",
       "      <td>2018-01-01</td>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "                                          Message-ID                Date  \\\n",
       "0  <57d76b65c8c848f7e1b83e56ff8f094ce3855479.came... 2018-01-01 02:42:21   \n",
       "1         <20180101172438.GA2871@flame.pingoured.fr> 2018-01-01 17:24:38   \n",
       "2  <20180101220004.0632660A400B@fedocal02.phx2.fe... 2018-01-01 22:00:04   \n",
       "3  <20180101220004.0E97560A400C@fedocal02.phx2.fe... 2018-01-01 22:00:04   \n",
       "4  <20180101221314.GA52721@rawhide-composer.phx2.... 2018-01-01 22:13:15   \n",
       "\n",
       "                                             Subject       Chunk  \n",
       "0  Anything we can do to temporarily halt new bug...  2018-01-01  \n",
       "1  [Bug 1529276] New: findbugs-contrib-7.2.0.sb i...  2018-01-01  \n",
       "2  [Fedocal] Reminder meeting : Modularity Office...  2018-01-01  \n",
       "3  [Fedocal] Reminder meeting : Modularity Office...  2018-01-01  \n",
       "4  Fedora rawhide compose report: 20180101.n.0 ch...  2018-01-01  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# apply our transformations\n",
    "\n",
    "df[\"Subject\"] = df[\"Subject\"].apply(match_threads)\n",
    "df[\"Date\"] = df[\"Date\"].apply(parse_date)\n",
    "df[\"Chunk\"] = df[\"Date\"].apply(lambda x: datetime.date(x.year, x.month, 1))\n",
    "df = df.sort_values(by=\"Date\")\n",
    "df.reset_index(inplace=True, drop=True)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Quantify contributor activity "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Message-ID</th>\n",
       "      <th>Date</th>\n",
       "      <th>Subject</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chunk</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-01</th>\n",
       "      <td>1429</td>\n",
       "      <td>1429</td>\n",
       "      <td>1429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-01</th>\n",
       "      <td>1226</td>\n",
       "      <td>1226</td>\n",
       "      <td>1226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-01</th>\n",
       "      <td>1231</td>\n",
       "      <td>1231</td>\n",
       "      <td>1231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-04-01</th>\n",
       "      <td>678</td>\n",
       "      <td>678</td>\n",
       "      <td>678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-01</th>\n",
       "      <td>723</td>\n",
       "      <td>723</td>\n",
       "      <td>723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-01</th>\n",
       "      <td>1054</td>\n",
       "      <td>1054</td>\n",
       "      <td>1054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-01</th>\n",
       "      <td>1031</td>\n",
       "      <td>1031</td>\n",
       "      <td>1031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-01</th>\n",
       "      <td>802</td>\n",
       "      <td>802</td>\n",
       "      <td>802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-01</th>\n",
       "      <td>832</td>\n",
       "      <td>832</td>\n",
       "      <td>832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-01</th>\n",
       "      <td>987</td>\n",
       "      <td>987</td>\n",
       "      <td>987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-11-01</th>\n",
       "      <td>1086</td>\n",
       "      <td>1086</td>\n",
       "      <td>1086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-01</th>\n",
       "      <td>706</td>\n",
       "      <td>706</td>\n",
       "      <td>706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01</th>\n",
       "      <td>1003</td>\n",
       "      <td>1003</td>\n",
       "      <td>1003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-02-01</th>\n",
       "      <td>1008</td>\n",
       "      <td>1008</td>\n",
       "      <td>1008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-03-01</th>\n",
       "      <td>1041</td>\n",
       "      <td>1041</td>\n",
       "      <td>1041</td>\n",
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      ],
      "text/plain": [
       "            Message-ID  Date  Subject\n",
       "Chunk                                \n",
       "2018-01-01        1429  1429     1429\n",
       "2018-02-01        1226  1226     1226\n",
       "2018-03-01        1231  1231     1231\n",
       "2018-04-01         678   678      678\n",
       "2018-05-01         723   723      723\n",
       "2018-06-01        1054  1054     1054\n",
       "2018-07-01        1031  1031     1031\n",
       "2018-08-01         802   802      802\n",
       "2018-09-01         832   832      832\n",
       "2018-10-01         987   987      987\n",
       "2018-11-01        1086  1086     1086\n",
       "2018-12-01         706   706      706\n",
       "2019-01-01        1003  1003     1003\n",
       "2019-02-01        1008  1008     1008\n",
       "2019-03-01        1041  1041     1041"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Quantify askers over the entire dataset\n",
    "Monthly = df.groupby(\"Chunk\").count()\n",
    "Monthly.head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
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      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f53bdcd42b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(rc={\"figure.figsize\": (20, 10)})\n",
    "plt.plot(Monthly.Subject)\n",
    "plt.title(\"Number of emails per month\")\n",
    "plt.ylabel(\"Number of emails\")\n",
    "plt.xlabel(\"Date\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Chunk\n",
       "2018-01-01    331\n",
       "2018-02-01    262\n",
       "2018-03-01    356\n",
       "2018-04-01    258\n",
       "2018-05-01    207\n",
       "Name: Subject, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# plot # of threads\n",
    "\n",
    "Subject = df.groupby([\"Chunk\"]).Subject.unique().apply(len)\n",
    "Subject.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f53c4f1f400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(Subject)\n",
    "plt.title(\"Number of threads per month\")\n",
    "plt.ylabel(\"Number of threads\")\n",
    "plt.xlabel(\"Date\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# number 1 subject per month\n",
    "\n",
    "top_subjects = {}\n",
    "\n",
    "for month in df.Chunk.unique():\n",
    "    top_threads = [\n",
    "        df[df[\"Chunk\"] == month].Subject.value_counts().head(5).index.tolist()\n",
    "    ]\n",
    "    # thread_count = df[df[\"Chunk\"] == month].Subject.value_counts().head(3).tolist()\n",
    "    # current_month = list(zip(top_threads,thread_count))\n",
    "    top_subjects[month] = top_threads"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-01</th>\n",
       "      <td>[EPEL support in \"master\" branch (aka speeding...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-01</th>\n",
       "      <td>[[ACTION NEEDED] Missing BuildRequires: gcc/gc...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-01</th>\n",
       "      <td>[Gating packages in Rawhide, Goodbye nvr.rspli...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-04-01</th>\n",
       "      <td>[Status of OwnCloud/NextCloud, Intent to orpha...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-01</th>\n",
       "      <td>[Prioritizing ~/.local/bin over /usr/bin on th...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-01</th>\n",
       "      <td>[F29 System Wide Change: Make BootLoaderSpec t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-01</th>\n",
       "      <td>[[HEADS UP] Removal of GCC from the buildroot,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-01</th>\n",
       "      <td>[Proposal: Reduce *-devel packages dependencie...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-01</th>\n",
       "      <td>[Semi-serious proposal: drop all optional entr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-01</th>\n",
       "      <td>[Fedora should replace mailing lists with Disc...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-11-01</th>\n",
       "      <td>[Fedora Lifecycles: imagine longer-term possib...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-01</th>\n",
       "      <td>[Fedora 30 System-Wide Change proposal: Remove...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01</th>\n",
       "      <td>[F30: System-Wide Change proposal: DNF UUID, F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-02-01</th>\n",
       "      <td>[Orphaned packages that will be retired (and e...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-03-01</th>\n",
       "      <td>[More than 10% of all Fedora spec files are no...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-04-01</th>\n",
       "      <td>[Can we maybe reduce the set of packages we in...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-05-01</th>\n",
       "      <td>[Upgrade to F30 gone wrong, Fedora 31 System-W...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-06-01</th>\n",
       "      <td>[Modularity vs. libgit, Fedora 31 System-Wide ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-07-01</th>\n",
       "      <td>[Rolling out Phase I of rawhide package gating...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-08-01</th>\n",
       "      <td>[Fedora Workstation and disabled by default fi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-09-01</th>\n",
       "      <td>[Fedora 31 System-Wide Change proposal (late):...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-10-01</th>\n",
       "      <td>[Modularity and the system-upgrade path, Defin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-01</th>\n",
       "      <td>[Modularity: The Official Complaint Thread, Fe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-01</th>\n",
       "      <td>[Fedora 32 System-Wide Change proposal: Disall...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-01</th>\n",
       "      <td>[Git Forge Requirements: Please see the Commun...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-01</th>\n",
       "      <td>[Ideas and proposal for removing changelog and...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-01</th>\n",
       "      <td>[Fedora 33 System-Wide Change proposal: ELN Bu...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-04-01</th>\n",
       "      <td>[CPE Git Forge Decision, Fedora 33 System-Wide...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-01</th>\n",
       "      <td>[Is dist-git a good place for work?, Re-Launch...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-01</th>\n",
       "      <td>[Fedora 33 System-Wide Change proposal: Make n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-01</th>\n",
       "      <td>[The future of legacy BIOS support in Fedora.,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-01</th>\n",
       "      <td>[EarlyOOM +ZRAM Only, Fedora 33 Mass Rebuild, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-01</th>\n",
       "      <td>[This is bad, was Re: Fedora 33 System-Wide Ch...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-01</th>\n",
       "      <td>[[ELN] gcc is going to be updated to gcc11 in ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-01</th>\n",
       "      <td>[Fedora 34 Change: Route all Audio to PipeWire...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-01</th>\n",
       "      <td>[Fedora 34 Change: GitRepos-master-to-main (Se...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-01</th>\n",
       "      <td>[Proposal to deprecated `fedpkg local`, Fedora...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                            0\n",
       "2018-01-01  [EPEL support in \"master\" branch (aka speeding...\n",
       "2018-02-01  [[ACTION NEEDED] Missing BuildRequires: gcc/gc...\n",
       "2018-03-01  [Gating packages in Rawhide, Goodbye nvr.rspli...\n",
       "2018-04-01  [Status of OwnCloud/NextCloud, Intent to orpha...\n",
       "2018-05-01  [Prioritizing ~/.local/bin over /usr/bin on th...\n",
       "2018-06-01  [F29 System Wide Change: Make BootLoaderSpec t...\n",
       "2018-07-01  [[HEADS UP] Removal of GCC from the buildroot,...\n",
       "2018-08-01  [Proposal: Reduce *-devel packages dependencie...\n",
       "2018-09-01  [Semi-serious proposal: drop all optional entr...\n",
       "2018-10-01  [Fedora should replace mailing lists with Disc...\n",
       "2018-11-01  [Fedora Lifecycles: imagine longer-term possib...\n",
       "2018-12-01  [Fedora 30 System-Wide Change proposal: Remove...\n",
       "2019-01-01  [F30: System-Wide Change proposal: DNF UUID, F...\n",
       "2019-02-01  [Orphaned packages that will be retired (and e...\n",
       "2019-03-01  [More than 10% of all Fedora spec files are no...\n",
       "2019-04-01  [Can we maybe reduce the set of packages we in...\n",
       "2019-05-01  [Upgrade to F30 gone wrong, Fedora 31 System-W...\n",
       "2019-06-01  [Modularity vs. libgit, Fedora 31 System-Wide ...\n",
       "2019-07-01  [Rolling out Phase I of rawhide package gating...\n",
       "2019-08-01  [Fedora Workstation and disabled by default fi...\n",
       "2019-09-01  [Fedora 31 System-Wide Change proposal (late):...\n",
       "2019-10-01  [Modularity and the system-upgrade path, Defin...\n",
       "2019-11-01  [Modularity: The Official Complaint Thread, Fe...\n",
       "2019-12-01  [Fedora 32 System-Wide Change proposal: Disall...\n",
       "2020-01-01  [Git Forge Requirements: Please see the Commun...\n",
       "2020-02-01  [Ideas and proposal for removing changelog and...\n",
       "2020-03-01  [Fedora 33 System-Wide Change proposal: ELN Bu...\n",
       "2020-04-01  [CPE Git Forge Decision, Fedora 33 System-Wide...\n",
       "2020-05-01  [Is dist-git a good place for work?, Re-Launch...\n",
       "2020-06-01  [Fedora 33 System-Wide Change proposal: Make n...\n",
       "2020-07-01  [The future of legacy BIOS support in Fedora.,...\n",
       "2020-08-01  [EarlyOOM +ZRAM Only, Fedora 33 Mass Rebuild, ...\n",
       "2020-09-01  [This is bad, was Re: Fedora 33 System-Wide Ch...\n",
       "2020-10-01  [[ELN] gcc is going to be updated to gcc11 in ...\n",
       "2020-11-01  [Fedora 34 Change: Route all Audio to PipeWire...\n",
       "2020-12-01  [Fedora 34 Change: GitRepos-master-to-main (Se...\n",
       "2021-01-01  [Proposal to deprecated `fedpkg local`, Fedora..."
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = pd.DataFrame(top_subjects).T\n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = x.join(Subject)\n",
    "x = x.join(Monthly[\"Message-ID\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Top_5_Threads</th>\n",
       "      <th>Number_of_threads</th>\n",
       "      <th>Number_of_Messages</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-01</th>\n",
       "      <td>[EPEL support in \"master\" branch (aka speeding...</td>\n",
       "      <td>331</td>\n",
       "      <td>1429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-01</th>\n",
       "      <td>[[ACTION NEEDED] Missing BuildRequires: gcc/gc...</td>\n",
       "      <td>262</td>\n",
       "      <td>1226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-01</th>\n",
       "      <td>[Gating packages in Rawhide, Goodbye nvr.rspli...</td>\n",
       "      <td>356</td>\n",
       "      <td>1231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-04-01</th>\n",
       "      <td>[Status of OwnCloud/NextCloud, Intent to orpha...</td>\n",
       "      <td>258</td>\n",
       "      <td>678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-01</th>\n",
       "      <td>[Prioritizing ~/.local/bin over /usr/bin on th...</td>\n",
       "      <td>207</td>\n",
       "      <td>723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-01</th>\n",
       "      <td>[F29 System Wide Change: Make BootLoaderSpec t...</td>\n",
       "      <td>240</td>\n",
       "      <td>1054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-01</th>\n",
       "      <td>[[HEADS UP] Removal of GCC from the buildroot,...</td>\n",
       "      <td>300</td>\n",
       "      <td>1031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-01</th>\n",
       "      <td>[Proposal: Reduce *-devel packages dependencie...</td>\n",
       "      <td>274</td>\n",
       "      <td>802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-01</th>\n",
       "      <td>[Semi-serious proposal: drop all optional entr...</td>\n",
       "      <td>259</td>\n",
       "      <td>832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-01</th>\n",
       "      <td>[Fedora should replace mailing lists with Disc...</td>\n",
       "      <td>255</td>\n",
       "      <td>987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-11-01</th>\n",
       "      <td>[Fedora Lifecycles: imagine longer-term possib...</td>\n",
       "      <td>247</td>\n",
       "      <td>1086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-01</th>\n",
       "      <td>[Fedora 30 System-Wide Change proposal: Remove...</td>\n",
       "      <td>215</td>\n",
       "      <td>706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01</th>\n",
       "      <td>[F30: System-Wide Change proposal: DNF UUID, F...</td>\n",
       "      <td>247</td>\n",
       "      <td>1003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-02-01</th>\n",
       "      <td>[Orphaned packages that will be retired (and e...</td>\n",
       "      <td>263</td>\n",
       "      <td>1008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-03-01</th>\n",
       "      <td>[More than 10% of all Fedora spec files are no...</td>\n",
       "      <td>284</td>\n",
       "      <td>1041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-04-01</th>\n",
       "      <td>[Can we maybe reduce the set of packages we in...</td>\n",
       "      <td>294</td>\n",
       "      <td>961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-05-01</th>\n",
       "      <td>[Upgrade to F30 gone wrong, Fedora 31 System-W...</td>\n",
       "      <td>267</td>\n",
       "      <td>845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-06-01</th>\n",
       "      <td>[Modularity vs. libgit, Fedora 31 System-Wide ...</td>\n",
       "      <td>202</td>\n",
       "      <td>817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-07-01</th>\n",
       "      <td>[Rolling out Phase I of rawhide package gating...</td>\n",
       "      <td>271</td>\n",
       "      <td>1067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-08-01</th>\n",
       "      <td>[Fedora Workstation and disabled by default fi...</td>\n",
       "      <td>336</td>\n",
       "      <td>1546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-09-01</th>\n",
       "      <td>[Fedora 31 System-Wide Change proposal (late):...</td>\n",
       "      <td>403</td>\n",
       "      <td>1420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-10-01</th>\n",
       "      <td>[Modularity and the system-upgrade path, Defin...</td>\n",
       "      <td>335</td>\n",
       "      <td>1357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-01</th>\n",
       "      <td>[Modularity: The Official Complaint Thread, Fe...</td>\n",
       "      <td>292</td>\n",
       "      <td>1321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-01</th>\n",
       "      <td>[Fedora 32 System-Wide Change proposal: Disall...</td>\n",
       "      <td>264</td>\n",
       "      <td>1144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-01</th>\n",
       "      <td>[Git Forge Requirements: Please see the Commun...</td>\n",
       "      <td>289</td>\n",
       "      <td>1535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-01</th>\n",
       "      <td>[Ideas and proposal for removing changelog and...</td>\n",
       "      <td>395</td>\n",
       "      <td>1229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-01</th>\n",
       "      <td>[Fedora 33 System-Wide Change proposal: ELN Bu...</td>\n",
       "      <td>480</td>\n",
       "      <td>1545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-04-01</th>\n",
       "      <td>[CPE Git Forge Decision, Fedora 33 System-Wide...</td>\n",
       "      <td>443</td>\n",
       "      <td>1772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-01</th>\n",
       "      <td>[Is dist-git a good place for work?, Re-Launch...</td>\n",
       "      <td>400</td>\n",
       "      <td>1618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-01</th>\n",
       "      <td>[Fedora 33 System-Wide Change proposal: Make n...</td>\n",
       "      <td>307</td>\n",
       "      <td>2143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-01</th>\n",
       "      <td>[The future of legacy BIOS support in Fedora.,...</td>\n",
       "      <td>298</td>\n",
       "      <td>1785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-01</th>\n",
       "      <td>[EarlyOOM +ZRAM Only, Fedora 33 Mass Rebuild, ...</td>\n",
       "      <td>360</td>\n",
       "      <td>1218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-01</th>\n",
       "      <td>[This is bad, was Re: Fedora 33 System-Wide Ch...</td>\n",
       "      <td>426</td>\n",
       "      <td>1436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-01</th>\n",
       "      <td>[[ELN] gcc is going to be updated to gcc11 in ...</td>\n",
       "      <td>414</td>\n",
       "      <td>1188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-01</th>\n",
       "      <td>[Fedora 34 Change: Route all Audio to PipeWire...</td>\n",
       "      <td>348</td>\n",
       "      <td>1213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-01</th>\n",
       "      <td>[Fedora 34 Change: GitRepos-master-to-main (Se...</td>\n",
       "      <td>335</td>\n",
       "      <td>1438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-01</th>\n",
       "      <td>[Proposal to deprecated `fedpkg local`, Fedora...</td>\n",
       "      <td>344</td>\n",
       "      <td>1388</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                Top_5_Threads  \\\n",
       "2018-01-01  [EPEL support in \"master\" branch (aka speeding...   \n",
       "2018-02-01  [[ACTION NEEDED] Missing BuildRequires: gcc/gc...   \n",
       "2018-03-01  [Gating packages in Rawhide, Goodbye nvr.rspli...   \n",
       "2018-04-01  [Status of OwnCloud/NextCloud, Intent to orpha...   \n",
       "2018-05-01  [Prioritizing ~/.local/bin over /usr/bin on th...   \n",
       "2018-06-01  [F29 System Wide Change: Make BootLoaderSpec t...   \n",
       "2018-07-01  [[HEADS UP] Removal of GCC from the buildroot,...   \n",
       "2018-08-01  [Proposal: Reduce *-devel packages dependencie...   \n",
       "2018-09-01  [Semi-serious proposal: drop all optional entr...   \n",
       "2018-10-01  [Fedora should replace mailing lists with Disc...   \n",
       "2018-11-01  [Fedora Lifecycles: imagine longer-term possib...   \n",
       "2018-12-01  [Fedora 30 System-Wide Change proposal: Remove...   \n",
       "2019-01-01  [F30: System-Wide Change proposal: DNF UUID, F...   \n",
       "2019-02-01  [Orphaned packages that will be retired (and e...   \n",
       "2019-03-01  [More than 10% of all Fedora spec files are no...   \n",
       "2019-04-01  [Can we maybe reduce the set of packages we in...   \n",
       "2019-05-01  [Upgrade to F30 gone wrong, Fedora 31 System-W...   \n",
       "2019-06-01  [Modularity vs. libgit, Fedora 31 System-Wide ...   \n",
       "2019-07-01  [Rolling out Phase I of rawhide package gating...   \n",
       "2019-08-01  [Fedora Workstation and disabled by default fi...   \n",
       "2019-09-01  [Fedora 31 System-Wide Change proposal (late):...   \n",
       "2019-10-01  [Modularity and the system-upgrade path, Defin...   \n",
       "2019-11-01  [Modularity: The Official Complaint Thread, Fe...   \n",
       "2019-12-01  [Fedora 32 System-Wide Change proposal: Disall...   \n",
       "2020-01-01  [Git Forge Requirements: Please see the Commun...   \n",
       "2020-02-01  [Ideas and proposal for removing changelog and...   \n",
       "2020-03-01  [Fedora 33 System-Wide Change proposal: ELN Bu...   \n",
       "2020-04-01  [CPE Git Forge Decision, Fedora 33 System-Wide...   \n",
       "2020-05-01  [Is dist-git a good place for work?, Re-Launch...   \n",
       "2020-06-01  [Fedora 33 System-Wide Change proposal: Make n...   \n",
       "2020-07-01  [The future of legacy BIOS support in Fedora.,...   \n",
       "2020-08-01  [EarlyOOM +ZRAM Only, Fedora 33 Mass Rebuild, ...   \n",
       "2020-09-01  [This is bad, was Re: Fedora 33 System-Wide Ch...   \n",
       "2020-10-01  [[ELN] gcc is going to be updated to gcc11 in ...   \n",
       "2020-11-01  [Fedora 34 Change: Route all Audio to PipeWire...   \n",
       "2020-12-01  [Fedora 34 Change: GitRepos-master-to-main (Se...   \n",
       "2021-01-01  [Proposal to deprecated `fedpkg local`, Fedora...   \n",
       "\n",
       "            Number_of_threads  Number_of_Messages  \n",
       "2018-01-01                331                1429  \n",
       "2018-02-01                262                1226  \n",
       "2018-03-01                356                1231  \n",
       "2018-04-01                258                 678  \n",
       "2018-05-01                207                 723  \n",
       "2018-06-01                240                1054  \n",
       "2018-07-01                300                1031  \n",
       "2018-08-01                274                 802  \n",
       "2018-09-01                259                 832  \n",
       "2018-10-01                255                 987  \n",
       "2018-11-01                247                1086  \n",
       "2018-12-01                215                 706  \n",
       "2019-01-01                247                1003  \n",
       "2019-02-01                263                1008  \n",
       "2019-03-01                284                1041  \n",
       "2019-04-01                294                 961  \n",
       "2019-05-01                267                 845  \n",
       "2019-06-01                202                 817  \n",
       "2019-07-01                271                1067  \n",
       "2019-08-01                336                1546  \n",
       "2019-09-01                403                1420  \n",
       "2019-10-01                335                1357  \n",
       "2019-11-01                292                1321  \n",
       "2019-12-01                264                1144  \n",
       "2020-01-01                289                1535  \n",
       "2020-02-01                395                1229  \n",
       "2020-03-01                480                1545  \n",
       "2020-04-01                443                1772  \n",
       "2020-05-01                400                1618  \n",
       "2020-06-01                307                2143  \n",
       "2020-07-01                298                1785  \n",
       "2020-08-01                360                1218  \n",
       "2020-09-01                426                1436  \n",
       "2020-10-01                414                1188  \n",
       "2020-11-01                348                1213  \n",
       "2020-12-01                335                1438  \n",
       "2021-01-01                344                1388  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x.columns = [\"Top_5_Threads\", \"Number_of_threads\", \"Number_of_Messages\"]\n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "contributor_data_set = x"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Upload results to S3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_files = (\n",
    "    (contributor_data_set, f\"{BASE_PATH}/processed/contributors.csv\"),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "Path(f\"{BASE_PATH}/processed\").mkdir(parents=True, exist_ok=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "contributor_data_set.to_csv(new_files[0][1], header=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "if os.getenv(\"RUN_IN_AUTOMATION\"):\n",
    "    utils.upload_files(\n",
    "        (f, f\"processed/{Path(f).stem}/contributors.csv\") for _, f in new_files\n",
    "    )"
   ]
  }
 ],
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