{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Google Drive tool\n",
    "\n",
    "This notebook walks through connecting a LangChain to the Google Drive API.\n",
    "\n",
    "## Prerequisites\n",
    "\n",
    "1. Create a Google Cloud project or use an existing project\n",
    "1. Enable the [Google Drive API](https://console.cloud.google.com/flows/enableapi?apiid=drive.googleapis.com)\n",
    "1. [Authorize credentials for desktop app](https://developers.google.com/drive/api/quickstart/python#authorize_credentials_for_a_desktop_application)\n",
    "1. `pip install --upgrade google-api-python-client google-auth-httplib2 google-auth-oauthlib`\n",
    "\n",
    "## Instructions for retrieving your Google Docs data\n",
    "By default, the `GoogleDriveTools` and `GoogleDriveWrapper` expects the `credentials.json` file to be `~/.credentials/credentials.json`, but this is configurable using the `GOOGLE_ACCOUNT_FILE` environment variable. \n",
    "The location of `token.json` use the same directory (or use the parameter `token_path`). Note that `token.json` will be created automatically the first time you use the tool.\n",
    "\n",
    "`GoogleDriveSearchTool` can retrieve a selection of files with some requests. \n",
    "\n",
    "By default, If you use a `folder_id`, all the files inside this folder can be retrieved to `Document`, if the name match the query.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#!pip install --upgrade google-api-python-client google-auth-httplib2 google-auth-oauthlib"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can obtain your folder and document id from the URL:\n",
    "* Folder: https://drive.google.com/drive/u/0/folders/1yucgL9WGgWZdM1TOuKkeghlPizuzMYb5 -> folder id is `\"1yucgL9WGgWZdM1TOuKkeghlPizuzMYb5\"`\n",
    "* Document: https://docs.google.com/document/d/1bfaMQ18_i56204VaQDVeAFpqEijJTgvurupdEDiaUQw/edit -> document id is `\"1bfaMQ18_i56204VaQDVeAFpqEijJTgvurupdEDiaUQw\"`\n",
    "\n",
    "The special value `root` is for your personal home."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "folder_id=\"root\"\n",
    "#folder_id='1yucgL9WGgWZdM1TOuKkeghlPizuzMYb5'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By default, all files with these mime-type can be converted to `Document`.\n",
    "- text/text\n",
    "- text/plain\n",
    "- text/html\n",
    "- text/csv\n",
    "- text/markdown\n",
    "- image/png\n",
    "- image/jpeg\n",
    "- application/epub+zip\n",
    "- application/pdf\n",
    "- application/rtf\n",
    "- application/vnd.google-apps.document (GDoc)\n",
    "- application/vnd.google-apps.presentation (GSlide)\n",
    "- application/vnd.google-apps.spreadsheet (GSheet)\n",
    "- application/vnd.google.colaboratory (Notebook colab)\n",
    "- application/vnd.openxmlformats-officedocument.presentationml.presentation (PPTX)\n",
    "- application/vnd.openxmlformats-officedocument.wordprocessingml.document (DOCX)\n",
    "\n",
    "It's possible to update or customize this. See the documentation of `GoogleDriveAPIWrapper`.\n",
    "\n",
    "But, the corresponding packages must installed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#!pip install unstructured"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from langchain_googledrive.utilities.google_drive import GoogleDriveAPIWrapper\n",
    "from langchain_googledrive.tools.google_drive.tool import GoogleDriveSearchTool\n",
    "\n",
    "# By default, search only in the filename.\n",
    "tool = GoogleDriveSearchTool(\n",
    "    api_wrapper=GoogleDriveAPIWrapper(\n",
    "        folder_id=folder_id,\n",
    "        num_results=2,\n",
    "        template=\"gdrive-query-in-folder\", # Search in the body of documents\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import logging\n",
    "logging.basicConfig(level=logging.INFO)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tool.run(\"machine learning\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tool.description"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.agents import load_tools\n",
    "tools = load_tools([\"google-drive-search\"],\n",
    "                   folder_id=folder_id,\n",
    "                   template=\"gdrive-query-in-folder\",\n",
    "                  )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Use within an Agent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from langchain import OpenAI\n",
    "from langchain.agents import initialize_agent, AgentType\n",
    "llm = OpenAI(temperature=0)\n",
    "agent = initialize_agent(\n",
    "    tools=tools,\n",
    "    llm=llm,\n",
    "    agent=AgentType.STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "agent.run(\n",
    "    \"Search in google drive, who is 'Yann LeCun' ?\"\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}