we are cleaning, but there is a major problem
When deleting a task from web UI, nothing is deleted elsewhere
Debug images are not deleted, models are not deleted. And I suspect that scalars and logs are not deleted too
Im not sure why is that so

is there any way to see if I even have the data in mongodb?

py file:
task: clearml.Task = clearml.Task.init(
project_name="project",
task_name="task",
output_uri=" None ",
)

clearml.conf:
{
# This will apply to all buckets in this host (unless key/value is specifically provided for a given bucket)
host: " our-host.com "
key: "xxx"
secret: "xxx"
multipart: false
...

it looks like problem is the host field, whenever I add it I get:
2024-01-22 13:27:16,489 - clearml.storage - ERROR - Failed creating storage object None Reason: Missing key and secret for S3 storage access ( None )

Im pretty sure

Hey, i see that 1.14.2 dropped
I tried it but the issue is still there, maybe the hotfix is in next patch?

Here is the setup so you can reproduce it (we dont have region field)
clearml.conf:
s3 {
use_credentials_chain: false
credentials: [
{
host: " s3.somehost.com "
key: "XXXXXXXXXXXXXXXXXXXX"
` secret: "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX...

The problem is that clearml.conf s3 config doesnt support empty region field, even empty strings crashes it

WebApp: 1.16.0-494 • Server: 1.16.0-494 • API: 2.30
But be careful, upgrading is extremely dangerous

Bump, still waiting, closing in on a month since we are unable to deploy. We have team of 10+ people

will it be appended in clearml?
"s3" is part of domain to the host

@<1523701435869433856:profile|SmugDolphin23> Any ideas how to fix this?

s

I know these keys work, url and everything else works because I use these creds daily

removing it doesnt fix the problem

It looks like im moving forward

Setting url in clearml.conf without "s3" as suggested works (But I dont add port ther, not sure if it breaks something, we dont have a port)
host: " our-host.com "

Then in test_task.py
task: clearml.Task = clearml.Task.init(
project_name="project",
task_name="task",
output_uri=" None ",
)

I think connection is created
What im getting now is bucket error, i suppose I have to specify it so...

good morning, I tried the script you provided and Im getting somewhere

@<1523701435869433856:profile|SmugDolphin23> Setting it without http is not possible as it auto fills them back in

Hi, ok im really close now to working system
Debug image is uploading to s3, im seeing the files, all ok there

Problem now is viewing these images in web UI
Going to Debug Samples panel in Task drops me a popup to fill in s3 credentials

I cant figure out what the right setup is for the creds to work
This is what I have now (Note that we dont have region)

@<1523701601770934272:profile|GiganticMole91> Thats rookie numbers. We are at 228 GB for elastic now

7 out of 30 GB is currently used and is quite stable

has 8 cores, so nothing fancy even

Is is even known if the bug is fixed on that version?

thanks for help

So from our IT guys i now know that
"s3" part of url is subdomain, we use it in all other libs like boto3 and cloudpathlib, never had any problems
This is where the crash happens inside the clearml Task

@<1523701070390366208:profile|CostlyOstrich36> Hello John, we are still unable to use clearml with our self hosted s3 CEPH instances, is there any update on the hotfix for 1.14?

Is it possible to split the large elasticsearch indexes? I know elasticsearch has something called rollover, but im not sure that clearml supports this

I have tried:
Airflow - Pain to setup, old UI and other problems

Prefect - Literaly just tried to setup a simple distributed system, took me a week, I do not recommend this tool at all, horrible documentation, noone helps at slack.

Dagster - Absolute beauty, nice UI, easy to setup (as a pip package or just a docker + postgres), i highly recommend this tool. Takes a bit to get used to it. I will in coming week try this combo of dagster + clearml, where i periodically check some things and if...