[Bug]: An error occurred while accessing SharePoint: 'name'

[sharad28]

Bug Description

i had create a folder in sharepoint site. i had share the path for site as well as for folder. however, i m getting error

An error occurred while accessing SharePoint: 'name'

Version

llama-index-core==0.10.55

Steps to Reproduce

Trying to create a chatbot using llama-hub connect i.e., from llama_index.readers.microsoft_sharepoint import SharePointReader start with create a new sharepoint site and upload documents in document under folder and subfolders. if you try to read them using using the sharepointreader i had received following error : An error occurred while accessing SharePoint: 'name'

Traceback (most recent call last): File "c:\Users\sarad\OneDrive\Documents\GenAI\Chatbot_streamlit_llamaindex\streamlit_app.py", line 51, in index = load_data() File "C:\Users\sarad\OneDrive\Documents\GenAI\Chatbot_streamlit_llamaindex\env3\lib\site-packages\streamlit\runtime\caching\cache_utils.py", line 168, in wrapper return cached_func(*args, **kwargs) File "C:\Users\sarad\OneDrive\Documents\GenAI\Chatbot_streamlit_llamaindex\env3\lib\site-packages\streamlit\runtime\caching\cache_utils.py", line 199, in call return self._get_or_create_cached_value(args, kwargs) File "C:\Users\sarad\OneDrive\Documents\GenAI\Chatbot_streamlit_llamaindex\env3\lib\site-packages\streamlit\runtime\caching\cache_utils.py", line 224, in _get_or_create_cached_value return self._handle_cache_miss(cache, value_key, func_args, func_kwargs) File "C:\Users\sarad\OneDrive\Documents\GenAI\Chatbot_streamlit_llamaindex\env3\lib\site-packages\streamlit\runtime\caching\cache_utils.py", line 280, in _handle_cache_miss File "c:\Users\sarad\OneDrive\Documents\GenAI\Chatbot_streamlit_llamaindex\streamlit_app.py", line 48, in load_data index = VectorStoreIndex.from_documents(docs,show_progress=True) File "C:\Users\sarad\OneDrive\Documents\GenAI\Chatbot_streamlit_llamaindex\env3\lib\site-packages\llama_index\core\indices\base.py", line 135, in from_documents for doc in documents: TypeError: 'NoneType' object is not iterable

Relevant Logs/Tracbacks

No response

[dosubot[bot]]

Hey @sharad28! 👋 I'm here to help you with any bugs, questions, or contributions. Let's squash those bugs together!

To resolve the error "An error occurred while accessing SharePoint: 'name'" when using SharePointReader, ensure that you have provided all the required parameters correctly and that your application has the necessary permissions. Specifically, check the following:

1. Client ID, Client Secret, and Tenant ID: Ensure these are correctly set and correspond to your Azure AD application.
2. SharePoint Site Name: Ensure the sharepoint_site_name is provided and correct.
3. SharePoint Folder Path or Folder ID: Ensure either sharepoint_folder_path or sharepoint_folder_id is provided.

Here is an example of how to initialize and use SharePointReader:

from llama_index.readers.microsoft_sharepoint import SharePointReader

# Initialize the SharePointReader with required parameters
reader = SharePointReader(
    client_id="your_client_id",
    client_secret="your_client_secret",
    tenant_id="your_tenant_id",
    sharepoint_site_name="your_sharepoint_site_name",
    sharepoint_folder_path="your_sharepoint_folder_path"  # or sharepoint_folder_id="your_sharepoint_folder_id"
)

# Load data from the specified SharePoint folder
try:
    documents = reader.load_data()
    for doc in documents:
        print(doc)
except Exception as e:
    print(f"An error occurred: {e}")

Ensure that your Azure AD application has the following permissions:

• Files.Read.All
• Sites.Read.All
• BrowserSiteLists.Read.All

If the error persists, check the logs for more specific error messages that might indicate what is going wrong. The error handling in the SharePointReader class logs the specific error message, which can provide more insight into the issue ^[1].

To continue talking to Dosu, mention @dosu.

[sharad28]

i have used the following :

@st.cache_resource(show_spinner=False) def load_data(): with st.spinner(text='loading and indexing data'): print("enter the loader") print({ "client_id":os.getenv('client_id'), "client_secret":os.getenv('client_secret'), "tenant_id":os.getenv('tenant_id')}) loader = SharePointReader( client_id=os.getenv('client_id'), client_secret=os.getenv('client_secret'), tenant_id=os.getenv('tenant_id'), sharepoint_site_name="sharepointsite", sharepoint_folder_path="internal_folder") print(f"loader : {loader}") try: docs = loader.load_data( sharepoint_site_name="sharepointsite", sharepoint_folder_path="internal_folder", recursive=True) except Exception as e: print(e)

reader = SimpleDirectoryReader('data')

    # docs = reader.load_data()  
    print(docs)      
    index = VectorStoreIndex.from_documents(docs,show_progress=True)
    return index
and all the parameters where correct 
still i was getting the error

An error occurred while accessing SharePoint: 'name'

[dosubot[bot]]

Ensure that the sharepoint_site_name and sharepoint_folder_path are correctly specified and match the actual names in your SharePoint site. Additionally, verify that your Azure AD application has the necessary permissions: Files.Read.All, Sites.Read.All, and BrowserSiteLists.Read.All.

Here's a refined version of your code with additional logging to help diagnose the issue:

import os
import streamlit as st
from llama_index.readers.microsoft_sharepoint import SharePointReader
from llama_index import VectorStoreIndex

@st.cache_resource(show_spinner=False)
def load_data():
    with st.spinner(text='loading and indexing data'):
        print("enter the loader")
        print({
            "client_id": os.getenv('client_id'),
            "client_secret": os.getenv('client_secret'),
            "tenant_id": os.getenv('tenant_id')
        })

        loader = SharePointReader(
            client_id=os.getenv('client_id'),
            client_secret=os.getenv('client_secret'),
            tenant_id=os.getenv('tenant_id'),
            sharepoint_site_name="sharepointsite",
            sharepoint_folder_path="internal_folder"
        )

        print(f"loader: {loader}")

        try:
            docs = loader.load_data(
                sharepoint_site_name="sharepointsite",
                sharepoint_folder_path="internal_folder",
                recursive=True
            )
        except Exception as e:
            print(f"An error occurred: {e}")
            return None

        print(docs)

        if docs is None:
            print("No documents were loaded.")
            return None

        index = VectorStoreIndex.from_documents(docs, show_progress=True)
        return index

# Call the function to load data
index = load_data()

Make sure to check the following:

1. Correct SharePoint Site and Folder Names: Double-check that sharepoint_site_name and sharepoint_folder_path are correct.
2. Environment Variables: Ensure that client_id, client_secret, and tenant_id are correctly set in your environment.
3. Permissions: Verify that your Azure AD application has the required permissions.

If the error persists, the specific error message logged should provide more insight into what is going wrong ^[1].

To continue talking to Dosu, mention @dosu.

[sharad28]

Hi @dosu I know how to solve the issue with window file path. can i create a PR?

[dosubot[bot]]

That's great to hear! While I can't create a PR for you, you can definitely go ahead and create one yourself. Make sure to include a clear description of the changes you're proposing and how they resolve the issue. If you need any guidance on the process, feel free to ask!

To continue talking to Dosu, mention @dosu.

[sharad28]

Hi @dosu please share the process of PR

[dosubot[bot]]

To create a Pull Request (PR) on GitHub to address an issue related to a Windows file path in the SharePointReader module of the llama-index-core library (version 0.10.55), follow these steps:

1. Fork the Repository: Go to the GitHub repository for llama-index-core and fork it to your own GitHub account.

2. Clone the Repository: Clone your forked repository to your local machine.

   git clone https://github.com/your-username/llama-index-core.git
   cd llama-index-core

3. Create a New Branch: Create a new branch for your changes.

   git checkout -b fix-windows-file-path

4. Set Up Your Environment: Follow the environment setup instructions from the CONTRIBUTING.md file.

   • Install poetry: Poetry Installation
   • Create a virtual environment and install dependencies:

     poetry shell
     poetry install --with dev,docs

5. Make Your Changes: Navigate to the SharePointReader module and make the necessary changes to address the Windows file path issue. Based on the provided context, the file to modify is llama-index-integrations/readers/llama-index-readers-microsoft-sharepoint/llama_index/readers/microsoft_sharepoint/__init__.py.

6. Validate Your Changes: Format, lint, and test your changes.

   • Format and lint your changes:

     make format
     make lint

   • Run unit tests:

     pytest tests

7. Commit Your Changes: Commit your changes with a descriptive message.

   git add llama-index-integrations/readers/llama-index-readers-microsoft-sharepoint/llama_index/readers/microsoft_sharepoint/__init__.py
   git commit -m "Fix Windows file path issue in SharePointReader module"

8. Push Your Changes: Push your changes to your forked repository.

   git push origin fix-windows-file-path

9. Create a Pull Request: Go to the original llama-index-core repository on GitHub and you should see a prompt to create a Pull Request from your new branch. Follow the instructions to create the PR, providing a clear description of the changes and referencing the issue related to the Windows file path.

Here is an example of what the modified __init__.py file might look like if you were addressing a specific issue:

from llama_index.readers.microsoft_sharepoint.base import SharePointReader

# Example fix for Windows file path issue
import os

def fix_windows_path(path):
    return path.replace("\\", "/")

__all__ = ["SharePointReader", "fix_windows_path"]

This is a hypothetical example; ensure your actual fix addresses the specific issue you are encountering. For more detailed contribution guidelines, refer to the CONTRIBUTING.md file in the repository ^[1][2].

To continue talking to Dosu, mention @dosu.

[sharad28]

hi @dosu what is pending for PR review?

[dosubot[bot]]

To check the status of your PR review, you can:

1. Visit the Pull Requests Section: Go to the "Pull Requests" section of the repository to see if your PR is listed.
2. Check for Comments: Look for any comments or requests for changes from the maintainers.
3. Review Status: Check if the PR has been assigned reviewers or if any automated checks (like CI/CD pipelines) have passed or failed.

If you haven't received any feedback yet, you might want to leave a polite comment on the PR asking for a status update. This can help bring attention to your contribution.

To continue talking to Dosu, mention @dosu.