Comments (8)
Currently TabPy only supports deploying to local file paths. So this is not a bug, it is a feature request :)
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This makes deploying to TabPy server running in docker containers impossible as well. Feature request +1
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Believe I am running into this with a docker image as well. Does this mean that if we
pip install tabpy-client future
from an integrated terminal inside the tabpy server container that it should work? Not quite sure in what context local
needs to be (server or client)...
I tried, with the example from above directly in a file in the container
import tabpy_client
client = tabpy_client.Client('http://localhost:9004/')
def add(x,y):
import numpy as np
return np.add(x, y).tolist()
client.deploy('add', add, 'Adds two numbers x and y')
However, I get an error
RuntimeError: LoadFailed: u"Load failed: 'int' object is not iterable"
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Yeah, it will work inside the container if you mount the file from the host.
The error you are seeing with the number not being iterable is something else unrelated to docker or localhost clients, but more likely related to the versions of python/numpy you are using in your image.
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@Seiter02 I am new to TabPy, can you provide a sample of what file needs to be mounted in the host? When I was looking the staging folder and such never existed.
Using this version of python
Python 2.7.12 :: Continuum Analytics, Inc
Looks like numpy wasnt installed...but now it is
pip install numpy
python -c "import numpy; print(numpy.version.version)"
# 1.14.1
Still same error, will continue looking through it
Using this Docker Image and this Dockerfile
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Hi @afreeland,
Are you still experiencing this issue?
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@nmannheimer I ended up not continuing with TabPy because we had a large datasets and Tableau executes the script calculated field requests synchronously which didnt allow us to scale the way we needed...sorry can't help much
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@afreeland thanks for the information, that's useful for us to know.
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Related Issues (20)
- An error occurred while communicating with the Analytics Extension data source ‘Analytics Extension’ HOT 1
- TabPy on Heroku Quickstart runs on port 443 HOT 3
- Simplify Environment Setup with a package.json file
- Clarify community contributions
- Fail to install TabPy due to the deprecation of sklearn HOT 2
- TabPy offline installation HOT 2
- Remove future lib: https://nvd.nist.gov/vuln/detail/CVE-2022-40899
- Erorr when run TabPy server on Ubuntu HOT 2
- Can we use tabpy function even if TABPY_EVALUATE_ENABLE is set to false HOT 3
- Heroku model deployments: os.path.isfile(path_to_pickle) returns true, but client.deploy(...) returns FileNotFoundError HOT 2
- Input form from https://www.tableau.com/blog/building-advanced-analytics-applications-tabpy-64916
- Disable support for TLS 1.1 and 1.0
- Tabpy server awaits for the user to hit Enter on the tabpy server Console for the Tableau connection to establish/finish HOT 1
- System error: Unknown Error when setting up request to TabPy. null
- Issue: PyArrow Installation Error in Visual Studio Developer Command Prompt for TabPy
- Tableau Prep - Unwanted Date Change in Python script HOT 4
- TabPy初期設定時のユーザーネーム/パスワードの設定方法について
- Hardcoded `0.0.0.0` and lack of passing `address` to Tornado
- No able to open Tabpy from cmd
- Potential Information Leakage
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