and then second part is to check if it is up and alive

I am just trying to get it programatically, so sure I can read the clearml.conf file to get the server default but I thought maybe there is some attribute \ utility available for this

yes

response:
{"meta":{"id":"33e9e80e94ee4384b45962acafcd2af5","trx":"33e9e80e94ee4384b45962acafcd2af5","endpoint":{"name":"","requested_version":1.0,"actual_version":null},"result_code":400,"result_subcode":0,"result_msg":"Invalid request path /v2.14/debug/ping","error_stack":null,"error_data":{}},"data":{}}

we just found it out ourselves , https://github.com/jupyter/nbconvert/issues/754

I am not familiar with this.. thats why I'm struggling.. this is what I tried:
import requests import os r = requests.post(url+ '/v2.14/debug/ping') r.json()response:
` {'meta': {'id': 'ebd6bdeaa95c4c3397009c71d9444040',
'trx': 'ebd6bdeaa95c4c3397009c71d9444040',
'endpoint': {'name': '', 'requested_version': 1.0, 'actual_version': None},
'result_code': 400,
'result_subcode': 0,
'result_msg': 'Invalid request path /v2.14/debug/ping',
'error_stack': None,
'error_data': {}},
'...

It does, I am familiar with it I used it many times

if I can't "pull", execute, report tasks from the same persistent python script it doesn't solve the problem of avoiding rerunning some heavy setup for a lightweight trial

something like in the example I shared
<Machine 1> #Init Optimizer <Machine 2> **heavy one time Common Initialization** while True: #sample Optimizer # init task # Execute Something # report results <Machine i> **heavy one time Common Initialization** while True: #sample **same** Optimizer # init task # Execute Something # report results

let me try to explain myself again

I can reproduce the same behavior in the community server.. but for some of the columns I get a slightly different behavior, it does something but I'm not sure exactly what

AgitatedDove14 , agree \ disagree?

thoughts?

AgitatedDove14 I believe that worker status doesn't is not considered a metric?

OS:Fedora
browser: brave but also on chrome
reproduce like in the example I gave above.. drag the right corner across more then a single column

not really.. did my previous comment made sense to you?

it is still relevant if you have any ideas

for keys that are present in both the remote and local configuration the expected behavior is that the remote overrides the local, that what happens in my agent runs

SuccessfulKoala55 .. so no ideas how to proceed?

thoughts?

one more question, is there a way to assign a job to a specific worker? or is it only working on queue level

for my specific use case I don't mind if they keep the order, I just want them to be at the top

this is what I get with curl

AgitatedDove14 ,yes my own server
is there an available reference to such a post request? I was trying some variations and it didn't work for me

neither Task nor task seem to have this attribute 🤔

Hi AgitatedDove14 , that's what I'm doing exactly.. from the error I am thinking it has more to do with the combination of offline with a hierarchical config or maybe just multiple configs registered in the hydra config store? I don't know..

CumbersomeCormorant74 SuccessfulKoala55 Hi any updates?

no, online

if I remove the import and use the path I get this:
raise MissingConfigException(hydra.errors.MissingConfigException: Cannot find primary config 'config'. Check that it's in your config search path.

its the module where the cfg is defined, like in the example you shared config_files/cfg.py