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🛠️

I promise we'll help you after you've

Hello. Everyone.

Guys, I'm trying to run Orchest using EKS and network plugin (calico) to bypass the VPC CNI pod limit. However, the can docker-registry does not go up:

waiting for a volume to be created, either by external provisioner "<http://ebs.csi.aws.com|ebs.csi.aws.com>" or manually created by system administrator

Does the orchest require the use of the VPC CNI?

@Mayara Marinho has joined the channel

Hello, everyone, I’m part of Allan’s team, at Dadosfera, and recently I’ve had some difficulties using the platform: - I’ve tried to configure and use Pyplan as a service, but when I try to access it on the browser, a blue screen appears. - I also tried to use Fast API as a service and it worked, however, the documentation that was supposed to be generated automatically could not be accessed by the browser. The following error appears: “Unable to render this definition. The provided definition does not specify a valid version field. Please indicate a valid Swagger or OpenAPI version field. Supported version fields are swagger: "2.0" and those that match openapi: 3.0.n (for example, openapi: 3.0.0).” Do you have an example using Pyplan/Fast API as services or some advice in these cases?

@Jacopo Super weird behavior. Since i have restarted job 3 times on orchest.io for client because of aborts and there is no performance management i went to self-hosting of orchest to identify problems - so i created minikube cluster with provider 'none' and kubernetes 1.23. Then I just put netdata on instance to observe. And what i found was jobs hasn't reclaimed memory it seems after first run 0_o. I might be wrong with instance config or smth but after abortion memory restored You can see clearly when second job run starts on 13th I guess there is alot more to this, than just memory stuff, but this is disturbing

Log is empty on failure after running a notebook any clues on how to get that fixed? Appeared by itself after a while 🤷

@nuhyurduseven has joined the channel

I have an issue that seem to be related to the os for orchest app; In a notebook I am am doing an export with

dfi.export(styled_table, 'somepng.png')

and it gives me back

OSError: Chrome executable not able to be found on your machine

in the log of the notebook tried to install

apt install chromium-chromedriver

but does not seem to change anything. any clue?

Is there a way to commit/push to GitHub as a job ?

Another issue, I tried to use the new version of Orchest a few days ago, but the build just keep loading and doesn't finish. How can I fix it?

Could someone tell me why orchest-controller can't start all pods? The controller.orchest.io/deploy-ingress: "false" option is set why my nginx is configured separately.

@David Tello has joined the channel

I got an error about saving a notebook. It's just 1.1MB. I can upload this notebook but cannot save any change. I got last update recently, a few minute ago. How can I solve this ?

I dont assume the project files can be updated with the repo’s last commits ?

@Sitaram Tadepalli has joined the channel

Hello! Is there a way to access the services/environments by the terminal?

@Rodrigo Martins has joined the channel

I'm trying to deploy Orchest on an r5.large and in this new version I'm having CPU limit issues, can anyone help me?

Hello, can someone help me with this problem in the build?

Hi there; would there be a reason why orchest import wouldnt import the full repository ? (I am missing a new file there that I added an hour ago on the repo) upon a “fresh” project import ?

Hi there, I have a problem about jupyterlab kernel. During the read dataset, jupyter kernel dumped and mlflow is not working properly. When I run the same code using python on command line, it works but in the orchest, the same code didn't give same output and kernel dumped. I am using DBSCAN and I know that scikit.learn version has high complexity. I think ingress banned somethings and some configurations are required.

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Does the orchest sdk have a method for stopping the pipeline?

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