senticr_piper_3.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import os,json\n",
    "import sys\n",
    "import augur\n",
    "import sqlalchemy as s\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from scipy import stats\n",
    "import matplotlib.pyplot as plot\n",
    "import matplotlib.dates as mdates\n",
    "from datetime import datetime\n",
    "#!{sys.executable} -m pip install sklearn\n",
    "#!{sys.executable} -m pip install xlrd\n",
    "#!{sys.executable} -m pip install imblearn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/keanu/temp/augur_push/augur5/augur/SentiCR\n",
      "/home/keanu/temp/augur_push/augur5/augur/SentiCR/SentiCR\n",
      "Reading data from oracle..\n",
      "Training classifier model..\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/keanu/anaconda3/envs/augur/lib/python3.6/site-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function _ratio_float is deprecated; Use a float for 'ratio' is deprecated from version 0.2. The support will be removed in 0.4. Use a dict, str, or a callable instead.\n",
      "  warnings.warn(msg, category=DeprecationWarning)\n"
     ]
    }
   ],
   "source": [
    "if(\"notebooks\" in os.getcwd()):\n",
    "    os.chdir(\"../SentiCR\")\n",
    "    from SentiCR.SentiCR import SentiCR\n",
    "\n",
    "sentiment_analyzer = SentiCR()\n",
    "\n",
    "if(\"notebooks\" not in os.getcwd()):\n",
    "    os.chdir(\"../../notebooks\")\n",
    "\n",
    "augurApp = augur.Application('../augur.config.json')\n",
    "\n",
    "connect = augurApp.ghtorrentplus()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['github_issues', 'github_issues_2', 'github_issues_repo_jobs', 'github_issues_sentiment_scores', 'github_issues_sentiment_scores_senticr', 'github_pull_request_repo_jobs', 'github_pull_requests', 'github_pull_requests_2', 'github_pull_requests_sentiment_scores', 'github_pull_requests_sentiment_scores_2', 'github_pull_requests_sentiment_scores_senticr', 'issue_response_time', 'issue_response_time2', 'issue_response_time_3', 'mail_lists', 'mail_lists_sentiment_scores', 'mail_lists_sentiment_scores_senticr', 'mailing_list_jobs']\n",
      "         project\n",
      "0  gluster-users\n",
      "1       announce\n",
      "2  gluster-devel\n",
      "3  gluster-infra\n",
      "4     aalldp-dev\n"
     ]
    }
   ],
   "source": [
    "table_names = s.inspect(connect.db).get_table_names()\n",
    "print(table_names)\n",
    "\n",
    "if(\"mailing_list_jobs\" in table_names):\n",
    "    lists_createdSQL = s.sql.text(\"\"\"SELECT project FROM mailing_list_jobs\"\"\")\n",
    "    df1 = pd.read_sql(lists_createdSQL, connect.db)\n",
    "    print(df1)\n",
    "    val = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gluster-users Mailing List\n",
      "Here!!!!\n",
      "\n",
      "\n",
      "\n",
      "announce Mailing List\n",
      "Here!!!!\n",
      "\n",
      "\n",
      "\n",
      "gluster-devel Mailing List\n",
      "Here!!!!\n",
      "\n",
      "\n",
      "\n",
      "gluster-infra Mailing List\n",
      "Here!!!!\n",
      "\n",
      "\n",
      "\n",
      "aalldp-dev Mailing List\n",
      "Here!!!!\n",
      "\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "col = 'score','sentiment'\n",
    "columns1 = 'augurmsgID', 'backend_name','project','mailing_list','category',\\\n",
    "           'message_part','message_parts_tot', 'subject','date',\\\n",
    "           'message_from','message_id','message_text'\n",
    "df3 = pd.DataFrame(columns = col)\n",
    "df_list = pd.DataFrame(columns = columns1)\n",
    "for i in df1['project'].values:\n",
    "    print(i,\"Mailing List\")\n",
    "    SQL = s.sql.text(\"\"\"SELECT * \n",
    "    FROM mail_lists WHERE mailing_list = \"\"\" +  \"'\" + i + \"'\")\n",
    "    df2 = pd.read_sql(SQL, connect.db)\n",
    "    df_list = df_list.append(df2)\n",
    "    #print(df2)\n",
    "    grouped = df2.groupby('message_id').groups\n",
    "    print(\"Here!!!!\")\n",
    "    #print(\"\\n\\n\",\"-\"*70,\"\\n\\n\")\n",
    "    for group in grouped:\n",
    "        parts = 0\n",
    "        numb = len(df2.loc[df2['message_id'] == group]['message_parts_tot'].tolist())\n",
    "        message = (df2.loc[df2['message_id'] == group]['message_text']).tolist()\n",
    "        message_text = ''.join(message)\n",
    "        #print(message_text)\n",
    "        score=sentiment_analyzer.get_sentiment_polarity(message_text)\n",
    "        score = int(score[0])\n",
    "        compound = parts = 0\n",
    "        sentiment = \"Positive\"\n",
    "        if(score == -1):\n",
    "            sentiment = \"Negative\"\n",
    "        #print(message)\n",
    "        for i in range(numb):\n",
    "            li = [ [score, sentiment] ]\n",
    "            df_temp = pd.DataFrame(li,columns = col)\n",
    "            #print(df_temp['score'])\n",
    "            df3 = df3.append(df_temp)\n",
    "            #print(df3)\n",
    "    print(\"\\n\\n\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  augurmsgID backend_name                                            project  \\\n",
      "0          1    Pipermail  https://lists.gluster.org/pipermail/gluster-us...   \n",
      "1          2    Pipermail  https://lists.gluster.org/pipermail/gluster-us...   \n",
      "2          3    Pipermail  https://lists.gluster.org/pipermail/gluster-us...   \n",
      "3          4    Pipermail  https://lists.gluster.org/pipermail/gluster-us...   \n",
      "4          5    Pipermail  https://lists.gluster.org/pipermail/gluster-us...   \n",
      "\n",
      "    mailing_list category message_part message_parts_tot  \\\n",
      "0  gluster-users  message            1                 2   \n",
      "1  gluster-users  message            2                 2   \n",
      "2  gluster-users  message            1                 2   \n",
      "3  gluster-users  message            2                 2   \n",
      "4  gluster-users  message            1                 3   \n",
      "\n",
      "                                             subject                date  \\\n",
      "0    [Gluster-users] glusterfs 3.1.0 disable-io-mode 2010-12-02 02:20:01   \n",
      "1    [Gluster-users] glusterfs 3.1.0 disable-io-mode 2010-12-02 02:20:01   \n",
      "2  [Gluster-users] Who's using Fedora in producti... 2010-12-02 12:34:11   \n",
      "3  [Gluster-users] Who's using Fedora in producti... 2010-12-02 12:34:11   \n",
      "4  [Gluster-users] RDMA Problems with GlusterFS 3... 2010-12-01 00:00:20   \n",
      "\n",
      "                                        message_from  \\\n",
      "0             kkakas at yahoo.gr (Kakaletris Kostas)   \n",
      "1             kkakas at yahoo.gr (Kakaletris Kostas)   \n",
      "2  mrogers at valuecommerce.co.jp (Mark \"Naoki\" R...   \n",
      "3  mrogers at valuecommerce.co.jp (Mark \"Naoki\" R...   \n",
      "4           stout.jeremy at gmail.com (Jeremy Stout)   \n",
      "\n",
      "                                          message_id  \\\n",
      "0                        <4CF6E631.3090805@yahoo.gr>   \n",
      "1                        <4CF6E631.3090805@yahoo.gr>   \n",
      "2               <4CF713B3.20904@valuecommerce.co.jp>   \n",
      "3               <4CF713B3.20904@valuecommerce.co.jp>   \n",
      "4  <AANLkTikd0VkCTSVWNDRBrRQ1_6HWbgFWJJ7ACGqzDFhT...   \n",
      "\n",
      "                                        message_text score sentiment  \n",
      "0   From what i remember i tried and the followin...    -1  Negative  \n",
      "1  sterfs -o direct-io-mode=off\\nmount -t gluster...    -1  Negative  \n",
      "2  Hi James,\\n\\nI'm using 3.1.1 on six bricks in ...    -1  Negative  \n",
      "3  n fedora12/13/14. I build the RPMs from source...    -1  Negative  \n",
      "4  As an update to my situation, I think I have G...    -1  Negative  \n",
      "(103973, 14)\n"
     ]
    }
   ],
   "source": [
    "df3 = df3.reset_index(drop=True)\n",
    "df_list = df_list.reset_index(drop=True)\n",
    "combine = (df_list.join(df3))\n",
    "\n",
    "print(combine.head())\n",
    "print(combine.shape)\n",
    "combine.to_sql(name='mail_lists_sentiment_scores_senticr',con=connect.db,\\\n",
    "               if_exists='replace',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(10,)\n",
      "(10,)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(208,)\n",
      "(208,)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(45298,)\n",
      "(45298,)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(7827,)\n",
      "(7827,)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(50630,)\n",
      "(50630,)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped = combine.groupby('mailing_list').groups\n",
    "dates = []\n",
    "mail_list = None\n",
    "j = 0\n",
    "for group in grouped:\n",
    "    dates = (combine.loc[combine['mailing_list'] == group]['date']).tolist()\n",
    "    values = []\n",
    "    for val in dates:\n",
    "        #print(val)\n",
    "        values.append((combine.loc[combine['date'] == val]['score']).tolist()[0])\n",
    "    #values = (combine.loc[combine['mailing_list'] == group]['score']).unique().tolist()\n",
    "    x = np.array(dates)\n",
    "    #dates = np.unique(x)\n",
    "    #print(dates)\n",
    "    dates1 = [r.to_pydatetime() for r in x]\n",
    "    fin_dates = mdates.date2num(dates1)\n",
    "    fin_values = np.asarray(values)\n",
    "    print(fin_dates.shape)\n",
    "    print(fin_values.shape)\n",
    "    plot.plot_date(fin_dates, fin_values)\n",
    "    #plot.plot(fin_dates,fin_values)\n",
    "    plot.gcf().autofmt_xdate()\n",
    "    plot.title(\"Mailing lst: \"+ group)\n",
    "    plot.ylabel('Score')\n",
    "    plot.xlabel('Date')\n",
    "    #print(fin_dates)\n",
    "    slope, intercept, r_value, p_value, std_err = stats.linregress(fin_dates,fin_values)\n",
    "    line = slope*fin_dates+intercept\n",
    "    plot.plot(fin_dates,fin_values,'o', fin_dates, line)\n",
    "    #plot.savefig('foo' + str(x) + '.png')\n",
    "    #x+=1\n",
    "    plot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   year(date)  month(date) mailing_list  avg(score)\n",
      "0        2016            3   aalldp-dev      0.0000\n",
      "1        2018            7   aalldp-dev     -0.3333\n",
      "2        2013            8     announce     -0.1667\n",
      "3        2013            9     announce      0.0000\n",
      "4        2013           10     announce      0.0000\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "SQL = \"\"\"\n",
    "select year(date), month(date), mailing_list, avg(score) from \n",
    "mail_lists_sentiment_scores_senticr\n",
    "group by mailing_list, year(date), month(date)\n",
    "order by mailing_list, year(date), month(date);\n",
    "\"\"\"\n",
    "df_groups =  pd.read_sql(SQL, connect.db)\n",
    "\n",
    "print(df_groups.head())\n",
    "\n",
    "repos = df_groups.groupby('mailing_list')\n",
    "for repo in repos:\n",
    "    rep = (df_groups.loc[df_groups['mailing_list'] == repo[0]])\n",
    "    grouped = rep.groupby('mailing_list').groups\n",
    "    years = []\n",
    "    for group in grouped:\n",
    "        dates_csv = (df_groups.loc[df_groups['mailing_list'] == group])\\\n",
    "        ['year(date)'].tolist()\n",
    "        months_csv = (df_groups.loc[df_groups['mailing_list'] == group])\\\n",
    "        ['month(date)'].tolist()\n",
    "        avg = (df_groups.loc[df_groups['mailing_list'] == group])\\\n",
    "        ['avg(score)'].tolist()\n",
    "        d = []\n",
    "        for i in range(len(dates_csv)):\n",
    "            s = (\"{}-{}\".format(dates_csv[i],months_csv[i]))\n",
    "            d.append(datetime.strptime(s,'%Y-%m'))\n",
    "        plot.plot_date(d, avg)\n",
    "        #plot.plot(fin_dates,fin_values)\n",
    "        plot.gcf().autofmt_xdate()\n",
    "        plot.title(group)\n",
    "        plot.ylabel('Score')\n",
    "        plot.xlabel('Date')\n",
    "        plot.show()\n",
    "        print(\"\\n\\n\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python (augur)",
   "language": "python",
   "name": "augur"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}