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Unanswered
Hello, I Wanted To Test Out Clearml And Installed The 7.14.2 Helm Chart. The Deployment Looks Ok. I Can Access The Webui And Create Workspace Api Credentials. What I Can’T Do Is.


Hi CostlyOstrich36

Thanks for looking at this.

  • Pasted the body below
{
	"aws": {
		"key": "emEijEB2wZtj1rgaUN3y",
		"secret": "oTxr3w3nlygv85oULOBWkaJi6Zj41OFBLB1e1m0L",
		"region": "",
		"token": "",
		"use_credentials_chain": false,
		"buckets": [{
			"bucket": "clearml",
			"host": "
",
			"key": "emEijEB2wZtj1rgaUN3y",
			"secret": "oTxr3w3nlygv85oULOBWkaJi6Zj41OFBLB1e1m0L",
			"token": "",
			"secure": false,
			"region": "",
			"verify": null,
			"use_credentials_chain": false
		}]
	},
	"google": {
		"project": null,
		"credentials_json": {},
		"buckets": []
	},
	"azure": {
		"containers": []
	}
}

I noticed I got this response

{
    "meta": {
        "id": "a2abdf8724014e01bf8ecd3a98887082",
        "trx": "a2abdf8724014e01bf8ecd3a98887082",
        "endpoint": {
            "name": "storage.set_settings",
            "requested_version": "2.31",
            "actual_version": "1.0"
        },
        "result_code": 400,
        "result_subcode": 12,
        "result_msg": "Validation error (error for field 'google': error for field 'credentials_json': ('value is wrong, expected type \"str\"', {})..)",
        "error_stack": null,
        "error_data": {}
    },
    "data": {}
}

I’m not setting google credentials so idk why this would be part of the error

I think I found it.

The google credentials were “set” out of the box but had an empty Object {}. I removed the object and saved and the save was succesful.

I was then able to add my minio credentials and save them as well.

Should I make a bug report for this?

  1. I managed to recreate it.
#In my jupyter notebook

%pip install clearml --upgrade pip

from clearml import Task, Logger

%env CLEARML_WEB_HOST=

%env CLEARML_API_HOST=

%env CLEARML_FILES_HOST=

%env CLEARML_API_ACCESS_KEY=GZBUVZYG1YHU6QSPMM3PI19EZB51ZY"
%env CLEARML_API_SECRET_KEY=MlirsAtDI_V4_OdzGFk5aB8-Z8ivLV3bZfcLzMzZD6oYSt503Lbmg0HHJDFJW9PGMuE

task = Task.init(project_name='Test', task_name='test')

I get a timeout error

etrying (Retry(total=239, connect=239, read=240, redirect=240, status=240)) after connection broken by 'ConnectTimeoutError(<urllib3.connection.HTTPSConnection object at 0x7a91cd5add30>, 'Connection to api-clearml.domain.duckdns.org timed out. (connect timeout=3.0)')': /auth.login

I’m wondering if this is because the url is a local dns set in my unify router and jupyter runs inside the cluster and is trying to resolve it locally?

  
  
Posted one month ago
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0 Answers
one month ago
one month ago