O365Toolkit is not fully defined; you should define Account, then call O365Toolkit.model_rebuild()

[Muntasir2179]

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Example Code

from dotenv import load_dotenv
from langchain_community.agent_toolkits import O365Toolkit


toolkit = O365Toolkit()
tools = toolkit.get_tools()

print(tools)

Description

I am trying to use O365Toolkit toolkit provided by langchain. I have followed the required steps like registering app and setting CLIENT_ID and CLIENT_SECRET environment variables. After do all these I have run the script accessing the tools and got the error message.

Error message:

Traceback (most recent call last):
File "/home/muntasir/Desktop/customer-support-chatbot/test.py", line 5, in
toolkit = O365Toolkit()
^^^^^^^^^^^^^
File "/home/muntasir/.miniconda3/envs/chatbot/lib/python3.12/site-packages/pydantic/main.py", line 209, in init
validated_self = self.pydantic_validator.validate_python(data, self_instance=self)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/muntasir/.miniconda3/envs/chatbot/lib/python3.12/site-packages/pydantic/_internal/_mock_val_ser.py", line 99, in getattr
raise PydanticUserError(self._error_message, code=self._code)
pydantic.errors.PydanticUserError: O365Toolkit is not fully defined; you should define Account, then call O365Toolkit.model_rebuild().

For further information visit https://errors.pydantic.dev/2.9/u/class-not-fully-defined

System Info

Here is the libraries and their versions that I am using:

requirements.txt

[dosubot[bot]]

Hey there, @Muntasir2179! I'm here to help you with any bugs, questions, or contributions you have. Let's tackle this issue together!

Hey @Muntasir2179! It looks like you're diving deep into some technical waters with O365Toolkit. Unfortunately, I can't help with this specific issue. I'm here to help solve bugs, answer technical questions, and gather engineering knowledge. If you think I should have answered this request, feel free to reach out to the Dosu Team.

To continue talking to Dosu, mention @dosu.

[dosubot[bot]]

To resolve the issue with the O365Toolkit not being fully defined, you need to ensure that the Account class from the O365 package is properly imported and used. Additionally, you should call the model_rebuild() method after defining the Account.

Here is the corrected code snippet:

from __future__ import annotations

from typing import TYPE_CHECKING, List

from langchain_core.tools import BaseTool
from langchain_core.tools.base import BaseToolkit
from pydantic import ConfigDict, Field

from langchain_community.tools.office365.create_draft_message import (
    O365CreateDraftMessage,
)
from langchain_community.tools.office365.events_search import O365SearchEvents
from langchain_community.tools.office365.messages_search import O365SearchEmails
from langchain_community.tools.office365.send_event import O365SendEvent
from langchain_community.tools.office365.send_message import O365SendMessage
from langchain_community.tools.office365.utils import authenticate

if TYPE_CHECKING:
    from O365 import Account

class O365Toolkit(BaseToolkit):
    """Toolkit for interacting with Office 365.

    *Security Note*: This toolkit contains tools that can read and modify
        the state of a service; e.g., by reading, creating, updating, deleting
        data associated with this service.

        For example, this toolkit can be used search through emails and events,
        send messages and event invites, and create draft messages.

        Please make sure that the permissions given by this toolkit
        are appropriate for your use case.

        See https://python.langchain.com/docs/security for more information.

    Parameters:
        account: Optional. The Office 365 account. Default is None.
    """

    account: Account = Field(default_factory=authenticate)

    model_config = ConfigDict(
        arbitrary_types_allowed=True,
    )

    def get_tools(self) -> List[BaseTool]:
        """Get the tools in the toolkit."""
        return [
            O365SearchEvents(),
            O365CreateDraftMessage(),
            O365SearchEmails(),
            O365SendEvent(),
            O365SendMessage(),
        ]

# Ensure to call model_rebuild after defining the Account
O365Toolkit.model_rebuild()

This should resolve the issue by ensuring that the Account is properly defined and the model_rebuild() method is called ^[1][2].

To continue talking to Dosu, mention @dosu.

[Muntasir2179]

@dosu Thanks for early response. I have used the code that you provided and also followed the instructions of creating Account object with appropriate credentials. When I tried to use access the tools I throughs an error message.

Error message:

Python-dotenv could not parse statement starting at line 1
Traceback (most recent call last):
File "/home/muntasir/Desktop/customer-support-chatbot/test.py", line 64, in
print(toolkit.get_tools())
^^^^^^^^^^^^^^^^^
AttributeError: 'NoneType' object has no attribute 'get_tools'

My code:

from __future__ import annotations
import os
from dotenv import load_dotenv

from typing import TYPE_CHECKING, List

from langchain_core.tools import BaseTool
from langchain_core.tools.base import BaseToolkit
from pydantic import ConfigDict, Field

from langchain_community.tools.office365.create_draft_message import (
    O365CreateDraftMessage,
)
from langchain_community.tools.office365.events_search import O365SearchEvents
from langchain_community.tools.office365.messages_search import O365SearchEmails
from langchain_community.tools.office365.send_event import O365SendEvent
from langchain_community.tools.office365.send_message import O365SendMessage
from langchain_community.tools.office365.utils import authenticate
from O365 import Account


load_dotenv()

class O365Toolkit(BaseToolkit):
    """Toolkit for interacting with Office 365.

    *Security Note*: This toolkit contains tools that can read and modify
        the state of a service; e.g., by reading, creating, updating, deleting
        data associated with this service.

        For example, this toolkit can be used search through emails and events,
        send messages and event invites, and create draft messages.

        Please make sure that the permissions given by this toolkit
        are appropriate for your use case.

        See https://python.langchain.com/docs/security for more information.

    Parameters:
        account: Optional. The Office 365 account. Default is None.
    """

    account: Account = Field(default_factory=authenticate)

    model_config = ConfigDict(
        arbitrary_types_allowed=True,
    )

    def get_tools(self) -> List[BaseTool]:
        """Get the tools in the toolkit."""
        return [
            O365SearchEvents(),
            O365CreateDraftMessage(),
            O365SearchEmails(),
            O365SendEvent(),
            O365SendMessage(),
        ]

# Ensure to call model_rebuild after defining the Account
my_account = Account(credentials=(os.environ['CLIENT_ID'], os.environ['CLIENT_SECRET']))

toolkit = O365Toolkit(account=my_account).model_rebuild()

print(toolkit.get_tools())

[dosubot[bot]]

The error you're encountering suggests that the .env file might not be correctly formatted, causing the load_dotenv() function to fail. Additionally, the model_rebuild() method should be called on the class itself, not on an instance of the class.

Here are the steps to resolve the issues:

1. Ensure the .env file is correctly formatted:
   The .env file should have the following structure:

   CLIENT_ID=your_client_id_here
   CLIENT_SECRET=your_client_secret_here
   OPENAI_API_KEY=your_openai_api_key_here
   

2. Correct the code to properly call model_rebuild():
   The model_rebuild() method should be called on the O365Toolkit class, not on an instance of it. Also, ensure that the authenticate function is correctly used to create the Account object.

Here is the corrected code:

from __future__ import annotations
import os
from dotenv import load_dotenv

from typing import TYPE_CHECKING, List

from langchain_core.tools import BaseTool
from langchain_core.tools.base import BaseToolkit
from pydantic import ConfigDict, Field

from langchain_community.tools.office365.create_draft_message import (
    O365CreateDraftMessage,
)
from langchain_community.tools.office365.events_search import O365SearchEvents
from langchain_community.tools.office365.messages_search import O365SearchEmails
from langchain_community.tools.office365.send_event import O365SendEvent
from langchain_community.tools.office365.send_message import O365SendMessage
from langchain_community.tools.office365.utils import authenticate
from O365 import Account

# Load environment variables
load_dotenv()

class O365Toolkit(BaseToolkit):
    """Toolkit for interacting with Office 365.

    *Security Note*: This toolkit contains tools that can read and modify
        the state of a service; e.g., by reading, creating, updating, deleting
        data associated with this service.

        For example, this toolkit can be used search through emails and events,
        send messages and event invites, and create draft messages.

        Please make sure that the permissions given by this toolkit
        are appropriate for your use case.

        See https://python.langchain.com/docs/security for more information.

    Parameters:
        account: Optional. The Office 365 account. Default is None.
    """

    account: Account = Field(default_factory=authenticate)

    model_config = ConfigDict(
        arbitrary_types_allowed=True,
    )

    def get_tools(self) -> List[BaseTool]:
        """Get the tools in the toolkit."""
        return [
            O365SearchEvents(),
            O365CreateDraftMessage(),
            O365SearchEmails(),
            O365SendEvent(),
            O365SendMessage(),
        ]

# Ensure to call model_rebuild after defining the Account
O365Toolkit.model_rebuild()

# Create an instance of O365Toolkit
toolkit = O365Toolkit()

# Access the tools
print(toolkit.get_tools())

Make sure your .env file is correctly formatted and placed in the same directory as your script or specify the path to it in the load_dotenv() function. This should resolve the issues you're facing ^[1][2].

To continue talking to Dosu, mention @dosu.

[Muntasir2179]

@dosu I have changed the code as you instructed and ran the script, it asks for an authenticated url. What url I should use and what informations I will need to pass the authentication?

In the first screenshot a link was provided, I have navigated to that link and here it is what I found:

[dosubot[bot]]

To authenticate with the Microsoft Graph API for OneNote and resolve the "unauthorized_client" error, follow these steps:

1. Use the Correct Authorization URL:
   The URL you should use for authorization is:

   https://login.microsoftonline.com/consumers/
   

2. Pass the Required Information:
   You need to pass the following information for authentication:

   • client_id
   • client_secret
   • authorization_code (obtained after user consent)

3. Resolve the "unauthorized_client" Error:
   This error typically occurs when the client credentials are incorrect or not properly configured. Ensure that you have registered your application with the Microsoft identity platform and have the necessary permissions (scopes) set up.

Here is a code snippet to guide you through the process:

from msal import ConfidentialClientApplication

client_instance = ConfidentialClientApplication(
    client_id=os.environ['CLIENT_ID'],
    client_credential=os.environ['CLIENT_SECRET'],
    authority="https://login.microsoftonline.com/consumers/",
)

authorization_request_url = client_instance.get_authorization_request_url(
    ["https://graph.microsoft.com/Notes.Read"]
)
print("Visit the following url to give consent:")  # noqa: T201
print(authorization_request_url)  # noqa: T201
authorization_url = input("Paste the authenticated url here:\n")

authorization_code = authorization_url.split("code=")[1].split("&")[0]
access_token_json = client_instance.acquire_token_by_authorization_code(
    code=authorization_code, scopes=["https://graph.microsoft.com/Notes.Read"]
)
access_token = access_token_json["access_token"]

4. Register Your Application:

   • Register an application with the Microsoft identity platform.
   • Set the redirect URI as https://login.microsoftonline.com/common/oauth2/nativeclient.
   • Generate a new password (client_secret) under the Application Secrets section.
   • Add the Notes.Read scope to your application as described here.

5. Set Environment Variables:
   Ensure you have the following values set as environment variables:

   • CLIENT_ID
   • CLIENT_SECRET

   You can set these in your script as follows:

import os

os.environ['CLIENT_ID'] = "YOUR CLIENT ID"
os.environ['CLIENT_SECRET'] = "YOUR CLIENT SECRET"

By following these steps, you should be able to resolve the "unauthorized_client" error and successfully authenticate with the Microsoft Graph API for OneNote ^[1][2][3][4].

To continue talking to Dosu, mention @dosu.