This notebook covers how to load documents fromOneNote.

Prerequisites​

1. Register an application with theMicrosoft identity platform instructions.
2. When registration finishes, the Azure portal displays the app registration's Overview pane. You see the Application (client) ID. Also called theclient ID, this value uniquely identifies your application in the Microsoft identity platform.
3. During the steps you will be following atitem 1, you can set the redirect URI ashttp://localhost:8000/callback
4. During the steps you will be following atitem 1, generate a new password (client_secret) under Application Secrets section.
5. Follow the instructions at thisdocument to add the followingSCOPES (Notes.Read) to your application.
6. You need to install the msal and bs4 packages using the commandspip install msal andpip install beautifulsoup4.
7. At the end of the steps you must have the following values:

• CLIENT_ID
• CLIENT_SECRET

🧑 Instructions for ingesting your documents from OneNote​

🔑 Authentication​

By default, theOneNoteLoader expects that the values ofCLIENT_ID andCLIENT_SECRET must be stored as environment variables namedMS_GRAPH_CLIENT_ID andMS_GRAPH_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['MS_GRAPH_CLIENT_ID']="YOUR CLIENT ID"
os.environ['MS_GRAPH_CLIENT_SECRET']="YOUR CLIENT SECRET"

This loader uses an authentication calledon 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.onenoteimport OneNoteLoader

loader= OneNoteLoader(notebook_name="NOTEBOOK NAME", section_name="SECTION NAME", page_title="PAGE TITLE")

Once the authentication has been done, the loader will store a token (onenote_graph_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 theauth_with_token parameter to True in the instantiation of the loader.

from langchain_community.document_loaders.onenoteimport OneNoteLoader

loader= OneNoteLoader(notebook_name="NOTEBOOK NAME", section_name="SECTION NAME", page_title="PAGE TITLE", auth_with_token=True)

Alternatively, you can also pass the token directly to the loader. This is useful when you want to authenticate with a token that was generated by another application. For instance, you can use theMicrosoft Graph Explorer to generate a token and then pass it to the loader.

from langchain_community.document_loaders.onenoteimport OneNoteLoader

loader= OneNoteLoader(notebook_name="NOTEBOOK NAME", section_name="SECTION NAME", page_title="PAGE TITLE", access_token="TOKEN")

🗂️ Documents loader​

📑 Loading pages from a OneNote Notebook​

OneNoteLoader can load pages from OneNote notebooks stored in OneDrive. You can specify any combination ofnotebook_name,section_name,page_title to filter for pages under a specific notebook, under a specific section, or with a specific title respectively. For instance, you want to load all pages that are stored under a section calledRecipes within any of your notebooks OneDrive.

from langchain_community.document_loaders.onenoteimport OneNoteLoader

loader= OneNoteLoader(section_name="Recipes", auth_with_token=True)
documents= loader.load()

📑 Loading pages from a list of Page IDs​

Another possibility is to provide a list ofobject_ids for each page you want to load. For that, you will need to query theMicrosoft Graph API to find all the documents ID that you are interested in. Thislink provides a list of endpoints that will be helpful to retrieve the documents ID.

For instance, to retrieve information about all pages that are stored in your notebooks, you need make a request to:https://graph.microsoft.com/v1.0/me/onenote/pages. 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.onenoteimport OneNoteLoader

loader= OneNoteLoader(object_ids=["ID_1","ID_2"], auth_with_token=True)
documents= loader.load()

Related​

• Document loaderconceptual guide
• Document loaderhow-to guides