print_features.ipynb

{
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   "execution_count": 1,
   "id": "2cae7f1a-4c4c-4b59-bc0a-65cce26f9b91",
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6ffc4d38-975b-4daa-9a30-14ba50b31d06",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import signal\n",
    "import sys\n",
    "import datetime\n",
    "import time\n",
    "\n",
    "from pathlib import Path\n",
    "from IPython.display import HTML, display, clear_output, display_html\n",
    "import pandas as pd\n",
    "import pyarrow as pa\n",
    "import pyarrow.parquet as pq\n",
    "from feast import FeatureStore\n",
    "from feast.data_source import PushMode\n",
    "\n",
    "from typing import List\n",
    "import pprint\n",
    "\n",
    "pd.set_option(\"display.max_rows\", 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "acc846a2-5bdf-4c01-b94f-7829d7937c3c",
   "metadata": {},
   "outputs": [],
   "source": [
    "try:\n",
    "    repo_path = Path(\"./src/feature_repo/\")\n",
    "    fs = FeatureStore(repo_path=str(repo_path.resolve()))\n",
    "except Exception as e:\n",
    "    print(e)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "288aa25f-722c-4d61-82c4-aa6922e6b63d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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>user_id</th>\n",
       "      <th>1_total</th>\n",
       "      <th>5_total</th>\n",
       "      <th>10_total</th>\n",
       "      <th>15_total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>user_000</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>53</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>user_001</td>\n",
       "      <td>8</td>\n",
       "      <td>34</td>\n",
       "      <td>57</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>user_002</td>\n",
       "      <td>10</td>\n",
       "      <td>22</td>\n",
       "      <td>48</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>user_003</td>\n",
       "      <td>3</td>\n",
       "      <td>31</td>\n",
       "      <td>56</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>user_004</td>\n",
       "      <td>6</td>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>user_005</td>\n",
       "      <td>7</td>\n",
       "      <td>24</td>\n",
       "      <td>50</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>user_006</td>\n",
       "      <td>7</td>\n",
       "      <td>24</td>\n",
       "      <td>49</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>user_007</td>\n",
       "      <td>4</td>\n",
       "      <td>18</td>\n",
       "      <td>47</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>user_008</td>\n",
       "      <td>3</td>\n",
       "      <td>26</td>\n",
       "      <td>46</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>user_009</td>\n",
       "      <td>4</td>\n",
       "      <td>36</td>\n",
       "      <td>65</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>user_010</td>\n",
       "      <td>5</td>\n",
       "      <td>31</td>\n",
       "      <td>61</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>user_011</td>\n",
       "      <td>5</td>\n",
       "      <td>22</td>\n",
       "      <td>45</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>user_012</td>\n",
       "      <td>6</td>\n",
       "      <td>28</td>\n",
       "      <td>48</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>user_013</td>\n",
       "      <td>5</td>\n",
       "      <td>27</td>\n",
       "      <td>48</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>user_014</td>\n",
       "      <td>6</td>\n",
       "      <td>33</td>\n",
       "      <td>64</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     user_id  1_total  5_total  10_total  15_total\n",
       "0   user_000        3       23        53        79\n",
       "1   user_001        8       34        57        82\n",
       "2   user_002       10       22        48        81\n",
       "3   user_003        3       31        56        85\n",
       "4   user_004        6       23        42        71\n",
       "5   user_005        7       24        50        74\n",
       "6   user_006        7       24        49        76\n",
       "7   user_007        4       18        47        71\n",
       "8   user_008        3       26        46        71\n",
       "9   user_009        4       36        65        90\n",
       "10  user_010        5       31        61        82\n",
       "11  user_011        5       22        45        71\n",
       "12  user_012        6       28        48        71\n",
       "13  user_013        5       27        48        66\n",
       "14  user_014        6       33        64        99"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:root:Cannot use sqlite_vec for vector search\n"
     ]
    }
   ],
   "source": [
    "features = []\n",
    "for i in [1, 5, 10, 15]:\n",
    "    features += [\n",
    "        f\"auth_attempt_view_w{i}:{i}_total\",\n",
    "        # f\"auth_attempt_view_w{i}:{i}_success\",\n",
    "        # f\"auth_attempt_view_w{i}:{i}_ratio\",\n",
    "    ]\n",
    "\n",
    "display_id = display(\"\", display_id=True)\n",
    "\n",
    "entity_rows = [{\"user_id\": f\"user_{i:03d}\"} for i in range(0, 15)]\n",
    "feature_vector = None\n",
    "while True:\n",
    "    try:\n",
    "        feature_vector = fs.get_online_features(\n",
    "            features=features,\n",
    "            entity_rows=entity_rows,\n",
    "        ).to_df()\n",
    "    except Exception as e:\n",
    "        print(e)\n",
    "        print(\"Re-trying in 5s\")\n",
    "        time.sleep(5)\n",
    "    display_id.update(feature_vector)\n",
    "    time.sleep(1)"
   ]
  }
 ],
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