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langchain/docs/extras/modules/data_connection/document_loaders/integrations/google_drive.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"id": "b0ed136e-6983-4893-ae1b-b75753af05f8",
"metadata": {},
"source": [
"# Google Drive\n",
"\n",
">[Google Drive](https://en.wikipedia.org/wiki/Google_Drive) is a file storage and synchronization service developed by Google.\n",
"\n",
"This notebook covers how to load documents from `Google Drive`. Currently, only `Google Docs` are supported.\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 ingesting your Google Docs data\n",
"By default, the `GoogleDriveLoader` expects the `credentials.json` file to be `~/.credentials/credentials.json`, but this is configurable using the `credentials_path` keyword argument. Same thing with `token.json` - `token_path`. Note that `token.json` will be created automatically the first time you use the loader.\n",
"\n",
"`GoogleDriveLoader` can load from a list of Google Docs document ids or a folder id. 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\"`"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6e40071c-3a65-4e26-b497-3e2be0bd86b9",
"metadata": {},
"outputs": [],
"source": [
"!pip install --upgrade google-api-python-client google-auth-httplib2 google-auth-oauthlib"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "878928a6-a5ae-4f74-b351-64e3b01733fe",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"from langchain.document_loaders import GoogleDriveLoader"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "2216c83f-68e4-4d2f-8ea2-5878fb18bbe7",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"loader = GoogleDriveLoader(\n",
" folder_id=\"1yucgL9WGgWZdM1TOuKkeghlPizuzMYb5\",\n",
" # Optional: configure whether to recursively fetch files from subfolders. Defaults to False.\n",
" recursive=False,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "8f3b6aa0-b45d-4e37-8c50-5bebe70fdb9d",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"docs = loader.load()"
]
},
{
"cell_type": "markdown",
"id": "2721ba8a",
"metadata": {},
"source": [
"When you pass a `folder_id` by default all files of type document, sheet and pdf are loaded. You can modify this behaviour by passing a `file_types` argument "
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2ff83b4c",
"metadata": {},
"outputs": [],
"source": [
"loader = GoogleDriveLoader(\n",
" folder_id=\"1yucgL9WGgWZdM1TOuKkeghlPizuzMYb5\",\n",
" file_types=[\"document\", \"sheet\"]\n",
" recursive=False\n",
")"
]
},
{
"cell_type": "markdown",
"id": "d6b80931",
"metadata": {},
"source": [
"## Passing in Optional File Loaders\n",
"\n",
"When processing files other than Google Docs and Google Sheets, it can be helpful to pass an optional file loader to `GoogleDriveLoader`. If you pass in a file loader, that file loader will be used on documents that do not have a Google Docs or Google Sheets MIME type. Here is an example of how to load an Excel document from Google Drive using a file loader. "
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "94207e39",
"metadata": {},
"outputs": [],
"source": [
"from langchain.document_loaders import GoogleDriveLoader\n",
"from langchain.document_loaders import UnstructuredFileIOLoader"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "a15fbee0",
"metadata": {},
"outputs": [],
"source": [
"file_id=\"1x9WBtFPWMEAdjcJzPScRsjpjQvpSo_kz\"\n",
"loader = GoogleDriveLoader(\n",
" file_ids=[file_id],\n",
" file_loader_cls=UnstructuredFileIOLoader,\n",
" file_loader_kwargs={\"mode\": \"elements\"}\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "98410bda",
"metadata": {},
"outputs": [],
"source": [
"docs = loader.load()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "e3e72221",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Document(page_content='\\n \\n \\n Team\\n Location\\n Stanley Cups\\n \\n \\n Blues\\n STL\\n 1\\n \\n \\n Flyers\\n PHI\\n 2\\n \\n \\n Maple Leafs\\n TOR\\n 13\\n \\n \\n', metadata={'filetype': 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet', 'page_number': 1, 'page_name': 'Stanley Cups', 'text_as_html': '<table border=\"1\" class=\"dataframe\">\\n <tbody>\\n <tr>\\n <td>Team</td>\\n <td>Location</td>\\n <td>Stanley Cups</td>\\n </tr>\\n <tr>\\n <td>Blues</td>\\n <td>STL</td>\\n <td>1</td>\\n </tr>\\n <tr>\\n <td>Flyers</td>\\n <td>PHI</td>\\n <td>2</td>\\n </tr>\\n <tr>\\n <td>Maple Leafs</td>\\n <td>TOR</td>\\n <td>13</td>\\n </tr>\\n </tbody>\\n</table>', 'category': 'Table', 'source': 'https://drive.google.com/file/d/1aA6L2AR3g0CR-PW03HEZZo4NaVlKpaP7/view'})"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"docs[0]"
]
},
{
"cell_type": "markdown",
"id": "238cd06f",
"metadata": {},
"source": [
"You can also process a folder with a mix of files and Google Docs/Sheets using the following pattern:"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "0e2d093f",
"metadata": {},
"outputs": [],
"source": [
"folder_id=\"1asMOHY1BqBS84JcRbOag5LOJac74gpmD\"\n",
"loader = GoogleDriveLoader(\n",
" folder_id=folder_id,\n",
" file_loader_cls=UnstructuredFileIOLoader,\n",
" file_loader_kwargs={\"mode\": \"elements\"}\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "b35ddcc6",
"metadata": {},
"outputs": [],
"source": [
"docs = loader.load()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "3cc141e0",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Document(page_content='\\n \\n \\n Team\\n Location\\n Stanley Cups\\n \\n \\n Blues\\n STL\\n 1\\n \\n \\n Flyers\\n PHI\\n 2\\n \\n \\n Maple Leafs\\n TOR\\n 13\\n \\n \\n', metadata={'filetype': 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet', 'page_number': 1, 'page_name': 'Stanley Cups', 'text_as_html': '<table border=\"1\" class=\"dataframe\">\\n <tbody>\\n <tr>\\n <td>Team</td>\\n <td>Location</td>\\n <td>Stanley Cups</td>\\n </tr>\\n <tr>\\n <td>Blues</td>\\n <td>STL</td>\\n <td>1</td>\\n </tr>\\n <tr>\\n <td>Flyers</td>\\n <td>PHI</td>\\n <td>2</td>\\n </tr>\\n <tr>\\n <td>Maple Leafs</td>\\n <td>TOR</td>\\n <td>13</td>\\n </tr>\\n </tbody>\\n</table>', 'category': 'Table', 'source': 'https://drive.google.com/file/d/1aA6L2AR3g0CR-PW03HEZZo4NaVlKpaP7/view'})"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"docs[0]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e312268a",
"metadata": {},
"outputs": [],
"source": []
}
],
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