Microsoft OneDrive
Microsoft OneDrive (formerly
SkyDrive
) is a file hosting service operated by Microsoft.
This notebook covers how to load documents from OneDrive
. Currently, only docx, doc, and pdf files are supported.
Prerequisitesโ
- Register an application with the Microsoft identity platform instructions.
- When registration finishes, the Azure portal displays the app registration's Overview pane. You see the Application (client) ID. Also called the
client ID
, this value uniquely identifies your application in the Microsoft identity platform. - During the steps you will be following at item 1, you can set the redirect URI as
http://localhost:8000/callback
- During the steps you will be following at item 1, generate a new password (
client_secret
) underย Application Secretsย section. - Follow the instructions at this document to add the following
SCOPES
(offline_access
andFiles.Read.All
) to your application. - Visit the Graph Explorer Playground to obtain your
OneDrive ID
. The first step is to ensure you are logged in with the account associated your OneDrive account. Then you need to make a request tohttps://graph.microsoft.com/v1.0/me/drive
and the response will return a payload with a fieldid
that holds the ID of your OneDrive account. - You need to install the o365 package using the command
pip install o365
. - At the end of the steps you must have the following values:
CLIENT_ID
CLIENT_SECRET
DRIVE_ID
๐ง Instructions for ingesting your documents from OneDriveโ
๐ Authenticationโ
By default, the OneDriveLoader
expects that the values of CLIENT_ID
and CLIENT_SECRET
must be stored as environment variables named O365_CLIENT_ID
and O365_CLIENT_SECRET
respectively. You could pass those environment variables through a .env
file at the root of your application or using the following command in your script.
os.environ['O365_CLIENT_ID'] = "YOUR CLIENT ID"
os.environ['O365_CLIENT_SECRET'] = "YOUR CLIENT SECRET"
This loader uses an authentication called on behalf of a user. It is a 2 step authentication with user consent. When you instantiate the loader, it will call will print a url that the user must visit to give consent to the app on the required permissions. The user must then visit this url and give consent to the application. Then the user must copy the resulting page url and paste it back on the console. The method will then return True if the login attempt was successful.
from langchain_community.document_loaders.onedrive import OneDriveLoader
loader = OneDriveLoader(drive_id="YOUR DRIVE ID")
Once the authentication has been done, the loader will store a token (o365_token.txt
) at ~/.credentials/
folder. This token could be used later to authenticate without the copy/paste steps explained earlier. To use this token for authentication, you need to change the auth_with_token
parameter to True in the instantiation of the loader.
from langchain_community.document_loaders.onedrive import OneDriveLoader
loader = OneDriveLoader(drive_id="YOUR DRIVE ID", auth_with_token=True)
๐๏ธ Documents loaderโ
๐ Loading documents from a OneDrive Directoryโ
OneDriveLoader
can load documents from a specific folder within your OneDrive. For instance, you want to load all documents that are stored at Documents/clients
folder within your OneDrive.
from langchain_community.document_loaders.onedrive import OneDriveLoader
loader = OneDriveLoader(drive_id="YOUR DRIVE ID", folder_path="Documents/clients", auth_with_token=True)
documents = loader.load()
๐ Loading documents from a list of Documents IDsโ
Another possibility is to provide a list of object_id
for each document you want to load. For that, you will need to query the Microsoft Graph API to find all the documents ID that you are interested in. This link provides a list of endpoints that will be helpful to retrieve the documents ID.
For instance, to retrieve information about all objects that are stored at the root of the Documents folder, you need make a request to: https://graph.microsoft.com/v1.0/drives/{YOUR DRIVE ID}/root/children
. Once you have the list of IDs that you are interested in, then you can instantiate the loader with the following parameters.
from langchain_community.document_loaders.onedrive import OneDriveLoader
loader = OneDriveLoader(drive_id="YOUR DRIVE ID", object_ids=["ID_1", "ID_2"], auth_with_token=True)
documents = loader.load()
Relatedโ
- Document loader conceptual guide
- Document loader how-to guides