Awesome, Thanks! if i may ask another question, is there a way to view all the models a in project? and maybe filter by system_tags to find archived ones?

I know, but if there’s an issue with the provided credentials, will it default to the demo server?

Yea, i tried CLEARML_NO_DEFAULT_SERVER=True and it didn’t work, i assumed it had something to do with my env setup which is a bit problematic, anyhow, assuming True is a valid value, i can see. what FrothyDog40 suggested about how it fails on bad/missing credentials 🙂

i did use ""

ok it seems the string you pass in the env variables has to be a uri safe string, after passing the string in https://www.urlencoder.io/ i managed to not get that exception…

yep

Will try and update

[{{"[" ["^"]} Group:({{Group:({{{{{W:(\, \[]-...) | Re:('\\\\0?[xX][0-9a-fA-F]+')} | Re:('\\\\0[0-7]+')} | !W:(\])} Suppress:("-")} {{{W:(\, \[]-...) | Re:('\\\\0?[xX][0-9a-fA-F]+')} | Re:('\\\\0[0-7]+')} | !W:(\])}}) | {{{W:(\, \[]-...) | Re:('\\\\0?[xX][0-9a-fA-F]+')} | Re:('\\\\0[0-7]+')} | !W:(\])}}}...)}, "]"]is the “grammer” for the parser, and it doesn’t seem to have a literal @ in it… unless i’m missing something

SuccessfulKoala55 So i tried what you suggested but i’m getting
pyparsing.ParseException: Expected end of text, found '@' (at char 56), (line:1, col:57)Any idea whats the issue? i supplied the env variable via docker compose file with the same standard as the one you posted

i tried running the string in config_parser.ConfigFactory() (parse_string) and got the same error

well no… the parser doesn’t seem to match what the mongo engine expects when passing a uri with username and password, so unless i’m missing something there’s no way to connect to a remote mongo that needs a user/pass to authenticate

` version: "3.6"
services:

apiserver:
command:
- apiserver
container_name: clearml-apiserver
image: allegroai/clearml:latest
restart: unless-stopped
volumes:
- /opt/clearml/logs:/var/log/trains
- /opt/clearml/config:/opt/trains/config
- /opt/clearml/data/fileserver:/mnt/fileserver
depends_on:
- redis
- elasticsearch
- fileserver
environment:
TRAINS_ELASTIC_SERVICE_HOST: elasticsearch
TRAINS_ELASTIC_SERVICE_PORT: 9200...