👍

Especially coming from the standpoint of a team leader or other kind of supervision (or anyone who wants to view the experiment which is not the code author), when looking at an experiment you want to see the actual code

yep

I understand it starts locally... what does it mean to run the steps locally?

that will require restarting the agent again?

but can't right now

why does it deplete so fast?

queue looks empty

yeah I know

EagerOctopus10

Do you need other part?

okay, that's acceptable

it will return a Config object right?

` alabaster==0.7.12
appdirs==1.4.4
apturl==0.5.2
attrs==21.2.0
Babel==2.9.1
bcrypt==3.1.7
blinker==1.4
Brlapi==0.7.0
cachetools==4.0.0
certifi==2019.11.28
chardet==3.0.4
chrome-gnome-shell==0.0.0
clearml==1.0.5
click==8.0.1
cloud-sptheme==1.10.1.post20200504175005
cloudpickle==1.6.0
colorama==0.4.3
command-not-found==0.3
cryptography==2.8
cupshelpers==1.0
cycler==0.10.0
Cython==0.29.24
dbus-python==1.2.16
decorator==4.4.2
defer==1.0.6
distlib==0.3.1
distro==1.4.0
distro-info===0.23ubuntu1
doc...

that's the only line starting with 192.168

Maybe the case is that after start / start_locally the reference to the pipeline task disappears somehow? O_O

:face_palm: 🤔 :man-tipping-hand:

I'll tr yto work with that

For example I have a DATA_DIR environment variable which points to the directory where disk-data is stored

awesome this will help a lot with debugging

so?

ShinyLobster84

👍

CostlyOstrich36 ⬆

it seems apiserver_conf doesn't even change

SuccessfulKoala55 this actually doesn't work

` apiserver_conf = ConfigFactory.parse_file(API_SERVER_CONF_PATH)

POINT 1

conf_content = HOCONConverter.to_hocon(config=ConfigFactory.from_dict(apiserver_conf.as_plain_ordered_dict()),
compact=False,
level=0, indent=2)

apiserver_conf['auth']['fixed_users']['users'].append(
ConfigFactory.from_dict({'username': username, 'password': password, 'name': name}))

##...

CostlyOstrich36

👍

I guess what I want is a way to define environment variables in agents

lets try