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96 × Eureka!yes, this works, but just for completeness I wanted to add it to the composition ... nevermind, maybe too much details for an article 😉
Does this differ to what I send earlier?
AgitatedDove14 I tried editing the ~/trains.conf on the system I start the dockerized trains server & agent but without success.
I tried to add the script you provided insinde api and sdk scope as well as outside everything, the result is still the same, wget is missing :(api{ ... <here> } sdk{ ... <here> } <and here>
I'm quite sure I need to edit the trains file inside a docker container, but this will be part of the and even if I would be able to chenge it, not the solution I'm lo...
Thanks. I wanted to finalize it as it took me already much longer than I expected
AgitatedDove14 it seems a comparison of plots the orig. & cloned experiment is not possible. Is this a bug on the server?
seems I'm wrong. The queues are there, but the workers are not
AgitatedDove14 the first plotly plot is fine and I added a second one which fails again 😞 I checked that the indes is of type str but the remote plot is again having integer as x-axis
The code is in github if you would like to check. I will proceed converting the index back and forth to find a way getting it running
withif task.running_locally(): fig.show()
it works 🙂
thanks you for the support
Sounds good :) I'm currently trying to run an orca instance ... but without success
` root@vmd62521:~# kubectl get pods -n trains -o wide
NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES
agentservices-56655788b6-rnbk4 1/1 Running 1 25h 10.42.0.26 vmd63828.contaboserver.net <none> <none>
mongo-76c4699cc-jgtzk 1/1 Running 0 25h 10.42.0.31 vmd63828.contaboserver.net <none> <none>
webserver-c48b45b66-9tf6s 1/1 Running 0 ...
the ports, I'm not sure about
the log of the fileserver pod seems quite empty
` root@vmd62521:~# kubectl logs fileserver-6f49b74556-2m4n2 -n trains --all-containers
- Serving Flask app "fileserver" (lazy loading)
- Environment: production
WARNING: This is a development server. Do not use it in a production deployment.
Use a production WSGI server instead. - Debug mode: off
root@vmd62521:~#same to the agentservice
root@vmd62521:~# kubectl logs agentservices-56655788b6-rnbk4 apiserver-7d9cd59844-dfd5s -n train...
I'm quite new to Kubernetes. What I have found is that the ports I expected, are used
` root@vmd62521:~# kubectl get services -n trains
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
mongo-service ClusterIP 10.43.99.44 <none> 27017/TCP 25h
webserver-service NodePort 10.43.49.21 <none> 80:30080/TCP 25h
redis ClusterIP 10.43.62.222 <none> 6379/TCP 25h
elasticsearch-service Clust...
also the webserver pods log contains entries
redis, mongo and elasticsearch looks also ok
the apiserver pods reports quite a lot
api_server and web_server look ok(py38) wgo@NVidia-power:~/dev/Trains/trains$ curl
{"meta":{"id":"bb5cd73435fb4127b9509ce3a771e95b","trx":"bb5cd73435fb4127b9509ce3a771e95b","endpoint":{"name":"","requested_version":1.0,"actual_version":null},"result_code":400,"result_spath /","error_stack":null},"data":{}}(py38) wgo@NVidia-power:~/dev/Trains/trains$ curl
`
<!doctype html>
<html lang="en">
<head> <meta charset="utf-8"> <title>trains</title> <base href="/"> <meta name="vie...
file_server not(py38) wgo@NVidia-power:~/dev/Trains/trains$ curl
`
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 3.2 Final//EN">
<title>405 Method Not Allowed</title> <h1>Method Not Allowed</h1> <p>The method is not allowed for the requested URL.</p> `
after adding the
import fastparquet
statement to the code, the reconstruction of an clone is working
` Summary - installed python packages:
...
- fastparquet==0.4.1
...
Environment setup completed successfully
Starting Task Execution:
...
modeller.py: error: the following arguments are required: --algorithm `unfortunately it raises the next issue.
If the script been used expects to get parameters via command line (which in Trains experiments are identified and stored as parameter when using...
to be honest, I don't know if I will find it as it is a Kubernetes cluster (ok only 2 nodes) and might be installed to somewhere ...
I will check if I will find any trains configs on the systems, but they should be the defaults comming with the Helm installer
or do you mean the machine I ran the experiment locally?
the one I send you the snippet of the api {} config?
the server name is correct, I have been able to upload the example ...
` sdk {
# TRAINS - default SDK configuration
storage {
cache {
# Defaults to system temp folder / cache
default_base_dir: "~/.trains/cache"
}
direct_access: [
# Objects matching are considered to be available for direct access, i.e. they will not be downloaded
# or cached, and any download request will return a direct reference.
# Objects are specified in glob format, available for url and content_ty...
the picture seemed to be missing.
sorry I tried but can't upload the picture to here. So I add a link to it https://drive.google.com/file/d/1HYYKDOY09hnE-DeCTPdZXpKy7537g5Ka/view?usp=sharing