thanks AgitatedDove14 ! this is what I was looking for

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

CostlyOstrich36 , any thoughts about this one by the way?

AgitatedDove14 , well.. having the demo server by default lowers the effort threshold for trying ClearML and getting convinced it can deliver what it promises, and maybe test some simple custom use cases. I don't know what are the behind the scenes considerations in terms of costs of keeping the demo server running, but even having a leaner version where you limit the duration in which the experiment records are deleted after a week or few days sounds useful to me

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":{}}

just making sure, the services queue is available from the clearml-server UI

AgitatedDove14 , this was my starting point, however this is only a list of workers ids and names for example:
{'id': 'ip-777-77-7-77.us-east-7.compute.internal:0', 'name': <function Entity.__getattr__.<locals>.new_func at 0x782477c68ca0>}

this is what I get with curl

CumbersomeCormorant74 SuccessfulKoala55 Hi any updates?

do you happen to have some reference snippet to create such a callback? I am only familiar with:
from clearml.binding.frameworks import WeightsFileHandler

SuccessfulKoala55
` import plotly.express as px
df = px.data.gapminder()
fig = px.scatter(df, x="gdpPercap", y="lifeExp", animation_frame="year", animation_group="country",
size="pop", color="continent", hover_name="country",
log_x=True, size_max=55, range_x=[100, 100000], range_y=[25, 90])

task.get_logger().report_plotly(title="TEST", series="sepal", iteration=0, figure=fig) `Thanks

is there an available reference for how I can use the API calls with the python API? it is not clear to me from what you shared

I have some custom configuration that describes the experiment I am running..
Some dictionary.. nothing to do with frameworks

dev6

Why do you need to have the configuration added manually ? isn't the cleaml.conf easier ? If not I think OS environments are easier no?- well at this point I'm not sure it is still essential, we have 3 run-modes offline, local-server, cloud-sever and this option made it work for all of them.. can be that it is not required anymore and its just legacy..
I run run above code, everything worked with no exception/warning...- this is strange.. you ran it with the dataclass config I added?
What is ...

cool thanks! local is quite confusing in this context.. but works 🙂

very strange that you don't see the same in the community server

that is the heaviest part for me

Yes I already learned about it from this thread 🙂

CostlyOstrich36 , thanks!

no programmatic python options? could be nice..

Here are the logs I got:

client has the following attributes:
['auth', 'events', 'models', 'projects', 'queues', 'session', 'tasks', 'workers']

AgitatedDove14 ,maybe worth updating the main Readme.md in the github.. if someone try to follow the instructions there it breaks

SuccessfulKoala55 , thanks I was looking for a way to do it programatically.. solved now, thanks
request = url+ '/v2.14/debug.ping' r = requests.post(request) serverIsResponsive = r.json()['meta']['result_code'] == 200

something like
...

imagine the beautiful PR showing such a feature 👀

this one is with the brave browser but I get the same with chrome

some arbitrary job.. can be executed in parallel to a running job on the same agent.
directly from the UI from the services queue?

I am getting 405