{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# pip freeze > requirements.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading settings from ../../env/ai.json\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import json\n",
    "\n",
    "# If the file does not exist it'll default to the manual setting see below\n",
    "filePathToSettingsFile = '../../env/ai.json'\n",
    "\n",
    "# Is there a settings file? \n",
    "if os.path.exists(filePathToSettingsFile):\n",
    "    # Yes there is so load settings from there\n",
    "    \n",
    "    print(f'Loading settings from {filePathToSettingsFile}')\n",
    "    f = open(filePathToSettingsFile)\n",
    "    settingsJson = json.load(f)\n",
    "    del f\n",
    "\n",
    "    for key in settingsJson:\n",
    "        os.environ[key] = settingsJson[key]\n",
    "        \n",
    "    del settingsJson\n",
    "else:        \n",
    "    # Set variables manually\n",
    "    \n",
    "    print('Setting variables manually as there is not ai.json settings file')\n",
    "\n",
    "    # Update the variables below with your own settings\n",
    "    os.environ['REQUESTS_CA_BUNDLE'] = '../../env/ZCert.pem'    \n",
    "    os.environ['HUGGING_FACE_API_KEY'] = 'Get here: https://huggingface.co/settings/tokens'\n",
    "    os.environ['OPENAI_API_KEY'] = 'Get here: https://platform.openai.com/account/api-keys'\n",
    "    os.environ[\"SERPAPI_API_KEY\"] = 'serpapi KEY, Get here: https://serpapi.com/manage-api-key'\n",
    "    os.environ[\"PINECONE_API_KEY\"] = 'serpapi KEY, Get here: https://app.pinecone.io/'\n",
    "    os.environ[\"PINECONE_API_ENV\"] = 'serpapi KEY, Get here: https://app.pinecone.io/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from huggingface_hub import HfFileSystem\n",
    "fs = HfFileSystem()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    }
   ],
   "source": [
    "list = fs.glob(\"thrag/rag-demo-1/*\")\n",
    "print(len(list))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}