langflow-ai / langflow

Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
http://www.langflow.org
MIT License
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Can't add packages to use for custom components #4473

Closed dylanwe closed 48 minutes ago

dylanwe commented 3 hours ago

Bug Description

I'm trying to make an azure ai search component but langflow doesn't come with the azure-search-documents package. I've tried to put the following in my Dockerfile:

FROM langflowai/langflow:1.0.19
COPY ./custom_components/components langflow/components
RUN pip install azure-search-documents
CMD ["langflow", "run"]

But it still throws the error

ModuleNotFoundError: Module                        
                             azure.search.documents not                         
                             found. Please install it                           
                             and try again     

Is this something that would be possible to do or would I need another approach?

Reproduction

Use the above dockerfile.

Expected behavior

Installed the azure-search-documents package.

Who can help?

@ogabrielluiz

Operating System

MacOS

Langflow Version

1.0.19

Python Version

3.12

Screenshot

No response

Flow File

No response

dosubot[bot] commented 3 hours ago

To resolve the issue of adding the azure-search-documents package for your custom component in Langflow, you need to ensure that the package is installed in the correct environment. Here’s a revised approach for your Dockerfile:

FROM langflowai/langflow:1.0.19

# Install the azure-search-documents package
RUN pip install azure-search-documents

# Copy your custom components into the container
COPY ./custom_components/components /app/langflow/components

# Run Langflow
CMD ["langflow", "run"]

Make sure that the COPY command points to the correct path where your custom components are located. The RUN pip install azure-search-documents command should install the package in the environment where Langflow is running, making it available for your custom components.

If you continue to encounter issues, verify that the package is correctly installed by checking the output of the pip install command during the Docker build process.

To continue talking to Dosu, mention @dosu.

dylanwe commented 3 hours ago

@dosu that seems to be what I already have, would I need a different approach? Is this even possible to achieve?

dosubot[bot] commented 2 hours ago

To ensure the azure-search-documents package is available for your custom components in Langflow, you might need to verify a few things:

  1. Docker Build Logs: Check the logs during the Docker build process to confirm that pip install azure-search-documents executes successfully without errors.

  2. Python Environment: Ensure that the package is installed in the same Python environment that Langflow uses. You can do this by adding a command to list installed packages after the pip install step:

    RUN pip install azure-search-documents && pip list
  3. Component Path: Double-check the path where your custom components are copied. Ensure that the path in the COPY command matches the expected directory structure within the Docker container.

  4. Environment Variables: Make sure any necessary environment variables are set correctly. If your components rely on specific configurations, ensure they are included in your Docker setup.

If these steps don't resolve the issue, consider running a shell in the Docker container to manually check the environment and troubleshoot further. You can do this by adding a temporary entry point to your Dockerfile:

CMD ["sh"]

Then, build and run the container, and manually check the Python environment and paths.

To continue talking to Dosu, mention @dosu.