Error adding endpoint to TabPy Server on Google Cloud VM Instance

Hi,

We’ve been trying to get a TabPy server running on a Google Cloud VM so that we can deploy models from Datalab. I’ve installed TabPy and the server is running fine - navigating to the ip address in a browser brings up the Tableau logo, and I’m able to connect Tableau to the predictive service and execute python code using the SCRIPT_ functions - however I’m getting an error when using the client to deploy from Datalab.

Using the code:

import tabpy_client
client = tabpy_client.Client('http://{0}:9004/').format(server_ip)

def add(x,y):
    import numpy as np
    return np.add(x, y).tolist()

client.deploy('add', add, 'Adds two numbers x and y')

Brings up the error:

I may well have overlooked something in getting it set up as it is working fine locally, but can’t work out what’s causing it.

Thanks in advance,

Adam

[BBeran]

Currently TabPy only supports deploying to local file paths. So this is not a bug, it is a feature request 😃

[nmannheimer]

@afreeland thanks for the information, that’s useful for us to know.