examples/slack/notebook.ipynb

{
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   "cell_type": "code",
   "execution_count": null,
   "id": "initial_id",
   "metadata": {
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   },
   "outputs": [],
   "source": [
    "!pip install \"sf-hamilton[slack]\""
   ]
  },
  {
   "cell_type": "code",
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "from hamilton import driver\n",
    "from hamilton.plugins.h_slack import SlackNotifier\n",
    "\n",
    "# load magic\n",
    "%load_ext hamilton.plugins.jupyter_magic"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "e88039e484e64415"
  },
  {
   "cell_type": "code",
   "outputs": [],
   "source": [
    "%%cell_to_module -m example_module\n",
    "def test_function() -> pd.DataFrame:\n",
    "    raise Exception(\"test exception\")\n",
    "    return pd.DataFrame({\"a\": [1, 2, 3], \"b\": [4, 5, 6]})"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "444cc24511d338a3"
  },
  {
   "cell_type": "code",
   "outputs": [],
   "source": [
    "# SLACK DETAILS FOR YOU TO FILL IN\n",
    "api_key = \"YOUR_API_KEY\"\n",
    "channel = \"YOUR_CHANNEL\""
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "98b516f88f03981c"
  },
  {
   "cell_type": "code",
   "outputs": [],
   "source": [
    "dr = (\n",
    "    driver.Builder()\n",
    "    .with_modules(example_module)\n",
    "    .with_adapters(SlackNotifier(api_key=api_key, channel=channel))\n",
    "    .build()\n",
    ")\n",
    "print(dr.execute([\"test_function\"]))"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "48fdfb26417eeb26"
  }
 ],
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   "file_extension": ".py",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
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