Closed dylanwe closed 48 minutes 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.
@dosu that seems to be what I already have, would I need a different approach? Is this even possible to achieve?
To ensure the azure-search-documents
package is available for your custom components in Langflow, you might need to verify a few things:
Docker Build Logs: Check the logs during the Docker build process to confirm that pip install azure-search-documents
executes successfully without errors.
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
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.
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.
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:But it still throws the error
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