Contributors ODC

Contributors.ipynb

{
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   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import json\n",
    "import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = \"https://api.github.com/repos/opendatacube/datacube-core/stats/contributors\"\n",
    "\n",
    "response = requests.get(url)\n",
    "\n",
    "users = response.json()\n",
    "\n",
    "today = datetime.datetime.now()\n",
    "one_month_ago = today - datetime.timedelta(days=32)\n",
    "\n",
    "user_data = []\n",
    "\n",
    "for user in users:\n",
    "    name = user['author']['login']\n",
    "    a = 0\n",
    "    d = 0\n",
    "    c = 0\n",
    "    for row in user['weeks']:\n",
    "        week_start = datetime.datetime.fromtimestamp(row['w'])\n",
    "       \n",
    "        if week_start > one_month_ago:\n",
    "            a += row['a']\n",
    "            d += row['d']\n",
    "            c += row['c']\n",
    "\n",
    "    data = [name, a, d, c]\n",
    "    if (a and d and c):\n",
    "        user_data.append(data)\n",
    "        \n",
    "# print(\"User, Additions, Deletions, Commits\")\n",
    "# for user in user_data:\n",
    "#     print(\"{}, {}, {}, {}\".format(user, *user_data[user]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>Name</th>\n",
       "      <th>Additions</th>\n",
       "      <th>Deletions</th>\n",
       "      <th>Commits</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>jeannettestrand</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>walsh-andrew</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>santoshamohan</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>omad</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Name  Additions  Deletions  Commits\n",
       "1  jeannettestrand         20          3        1\n",
       "2     walsh-andrew          8          4        1\n",
       "0    santoshamohan          1          1        1\n",
       "3             omad          1          1        1"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df = pd.DataFrame(user_data, columns=[\"Name\", \"Additions\", \"Deletions\", \"Commits\"])\n",
    "df.sort_values(by=['Additions'], inplace=True, ascending=False)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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