{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a620638d",
   "metadata": {},
   "source": [
    "Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.\n",
    "\n",
    "SPDX-License-Identifier: Apache-2.0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46db2962",
   "metadata": {},
   "source": [
    "# NCAD environment verification\n",
    "\n",
    "The Neural Contextual Anomaly Detection (NCAD) for Time Series module is sourced from the [gluon-ts](https://github.com/Francois-Aubet/gluon-ts/tree/adding_ncad_to_nursery/src/gluonts/nursery/ncad) github repository.\n",
    "\n",
    "The NCAD authors have configured a `setup.py` allowing NCAD to be installed with `pip install -e ncad`. Additionally, we need to install `torchmetrics==0.6.0` and `pytorch-lightning==1.3.8`.\n",
    "\n",
    "The `anomaly-detection-spatial-temporal-data/prepare_ncad_environment.sh` script prepares the `kedro-ncad-venv` virtual environment and registers it with the Jupyter registry as a custom kernel."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2022365e",
   "metadata": {},
   "source": [
    "### Check NCAD import"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "58936883",
   "metadata": {},
   "outputs": [],
   "source": [
    "import ncad"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f1faa4d5",
   "metadata": {},
   "source": [
    "### Check driver functions import"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "34b9e04a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys \n",
    "sys.path.append('../../src/anomaly_detection_spatial_temporal_data/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d23a120d",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pipelines.iot_gdn_data_processing.nodes import clean_column_names, get_sensor_columns, save_sensor_cols\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5a9b13ab",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "kedro-ncad-venv",
   "language": "python",
   "name": "kedro-ncad-venv"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.12"
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