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Can't store secret key global variables on Railway deployment (Fernet key must be 32 url-safe base64-encoded bytes) about langflow HOT 1 OPEN

brylie avatar brylie commented on August 16, 2024
Can't store secret key global variables on Railway deployment (Fernet key must be 32 url-safe base64-encoded bytes)

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dosubot avatar dosubot commented on August 16, 2024 2

To resolve the "Fernet key must be 32 url-safe base64-encoded bytes" error and successfully store secret key global variables on Railway deployment, you need to ensure that your secret key is properly padded to be 32 url-safe base64-encoded bytes. Here is how you can do it:

  1. Ensure your secret key is correctly padded using the add_padding function.
  2. Use the padded secret key to create a Fernet instance.

Here is the relevant code snippet:

def add_padding(s):
    # Calculate the number of padding characters needed
    padding_needed = 4 - len(s) % 4
    return s + "=" * padding_needed

def get_fernet(settings_service=Depends(get_settings_service)):
    SECRET_KEY = settings_service.auth_settings.SECRET_KEY.get_secret_value()
    # It's important that your secret key is 32 url-safe base64-encoded bytes
    padded_secret_key = add_padding(SECRET_KEY)
    fernet = Fernet(padded_secret_key)
    return fernet

Make sure that your SECRET_KEY is set correctly in your settings and that it is being padded before being used to create the Fernet instance. This should resolve the error and allow you to store secret key global variables on Railway deployment [1][2][3].

To verify the version of Langflow that is currently deployed on Railway, you can use the get_version_info function from the src/backend/base/langflow/utils/version.py file. This function retrieves the version information of the Langflow package:

def get_version_info():
    try:
        from langflow.version import __version__  # type: ignore

        version = __version__
        package = "Langflow"
    except ImportError:
        from importlib import metadata

        version = metadata.version("langflow")
        package = "Langflow"
    return {"version": version, "package": package}

You can call this function to get the version and package information of the deployed Langflow instance [4][5].

To continue talking to Dosu, mention @dosu.

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