Hi everyone I upgraded Orchest to v2022 10 9 but there is an

Question

Hi everyone I upgraded Orchest to v2022 10 9 but there is an issue in our instance Before upgrading to this version everything was okay The error is ```HTTP 599 Unknown Error attempting to connect to Gateway server url <http jupyter eg 00ee2e2d 5982 4d9a86d313c8 94bd 4c1e 8888 jupyter server 00ee2e2d 5982 4d9a86d313c8 94bd 4c1e> Ensure gateway url is valid and the Gateway instance is running ``` Then I upgraded it to the latest version v2022 11 0 but this issue is still there Could you please help me

Yannick · Answer

Did you customize JupyterLab in any way where you build a new image for it through the settings page I guess the issue occurs when you open Jupyterlab Or does it happen the moment you open a notebook

Jacopo · Answer

What kind of deployment is this Minikube

Jacopo · Answer

If the issue happens when opening a notebook did you do anything particular in the environment setup script that could affect it when starting as a container Kernels run on environment images as well

Gholamhossein Tavasoli · Answer

microk8s

Gholamhossein Tavasoli · Answer

We did not change anything actually

Gholamhossein Tavasoli · Answer

We build a custom kernel base on `orchest base kernel py v2022 08 3` and ` bin bash` ` Install any dependencies you have in this shell script ` ` see <https docs orchest io en latest fundamentals environments html install packages>` ` E g mamba install y tensorflow` ` sudo apt get update` ` sudo apt get install libpq dev` `pip install U packages ` `pip install U scikit learn pandas` `pip install U requests pyarrow xgboost pandas datareader` `pip install U ujson` `pip install plotly==5 8 0` `pip install U matplotlib` `pip install U seaborn` `pip install dateparser` `pip install openpyxl` `pip install xlwt` `pip install U imbalanced learn` `pip install U psycopg2 binary` `pip install tensorflow` `pip install tensorflow datasets` `pip install pydot` `pip install pydotplus` `pip install graphviz` `pip install statsmodels` `pip install scipy`

Gholamhossein Tavasoli · Answer

The kernel has been built successfully

Gholamhossein Tavasoli · Answer

Ah I found the issue The issue is the difference between version of the base kernel `orchest base kernel py v2022 08 3` and Orchest version `v2022 10 9` I built another image based on the base python kernel again It worked Is it meaningful

Jacopo · Answer

The base image version shouldn t matter in this case thinking face will take a better look on Monday

Jacopo · Answer

Hi < Gholamhossein Tavasoli> some more questions is this a single node deployment what do you get when you run `kubectl exec n orchest it deploy docker registry du sh var lib registry`