I logged in to the UI from the local browser. is that enough?

i.e. you can:
curl

thanks. it seems to work now.

we are still considering whether to upgrade or not.

done

yes

Everything seems correct...
Let's try to set it manually.
create a file ~/trains.conf , then copy paste the credentials section from the UI, it should look something like:
api { web_server: http:127.0.0.1:8080 api_server: http:127.0.0.1:8008 files_server: http:127.0.0.1:8081 credentials { "access_key" = "access" "secret_key" = "secret" } }Let's see if that works

yes its the JWT issue

pip install "pyjwt<2.0.0"

the code doesn't work

trains-init: error: unrecognized arguments: config

make sure the API port is 8008 and the web 8080

jwt.exceptions.DecodeError: It is required that you pass in a value for the "algorithms" argument when calling decode().

http

TRAINS-AGENT setup process
Configuration file already exists: ~/trains.conf
Leaving setup, feel free to edit the configuration file.

we have a cloud machine running the server UI and I want to log sessions from my local machine

Same machine running the trains-init ?

BTW: I think it was fixed in the latest trains package as well as the cleaml package

Any reason not to ?

yep. they are

No that's okay

if it ain't broke, don't fix it

if it ain't broke, don't fix it

😄

Up to you, just a few features & nicer UI.
BTW: everything is backwards compatible, there is no need to change anything all the previous trains/trains-agent packages will work without changing anything 🙂
(This even includes the configuration file, so you can keep the current ~/trains.conf and work with whatever combination you like of trains/clearml on the same machine)

Just making sure, the machine that you were running the "trains-init" on can access the API server ?

Are the key/secret the one you see in the UI?

{"meta":{"id":"3b79f199a7fa42db8a30abbc67adbaa3","trx":"3b79f199a7fa42db8a30abbc67adbaa3","endpoint":{"name":"","requested_version":1.0,"actual_version":null},"result_code":400,"result_subcode":0,"result_msg":"Invalid request path /","error_stack":null},"data":{}}

that's the result

And the server itself? is it http or https ?

my UI is also deployed on http server

try: trains-init config

Ohh