renderD128 (Intel dgpu) couldn’t be added to the container (linuxserver image). Will take a look later, when I’m home, to find the issue. But may take your time for the update and don’t yolo it like I did :)

Sir, would you please click on all traffic lights?

Sorry, I meant risk taking not averse (not my 1st language) Regarding the bugs, they get usually fixed within days

*10.9 if not latest. For the risk averse folks out there, check out https://github.com/containrrr/watchtower I just let it run every night, so far w/o problems

During restart all entities are in state unavailable. When the integrations are loaded all the entities with their current states become available again, but that’s something of seconds. The internal entities, like Helpers, are immediately available - that’s the closest to “value from HA itself” I have in my setup

Who should clean cities and subways from dropped food then? Rats?

That’s strange, it usually does keep that, because the values are coming from the devices themselves. Like a switch is either on or off as soon as HA reconnects, it requests the state of the switch. Same for thermostats, at least in my case, because mine are connected via the router via DECT. It may helps to provide some more details on your installation (Docker, HASS OS, …) and devices

A quick and dirty solution would be using a date input helper, that get’s updated with every run and is used in a condition. But there is probably a smarter way

A friend of Neeble https://meninblack.fandom.com/wiki/Neeble

Networking stuff was my first thought, too, when starting to read your log. Unfortunately i can’t help you with that (my HA is in host mode as are all the IoT-devices), but I think I can explain why it was able to get the IP: It received it via the API from Xiaomi. Good luck figuring out the networking :/

Seems about right. I honestly don’t remember how I did it and now I switched to Valetudo… I found this link in my notes, may it helps https://community.home-assistant.io/t/missing-robot-model-dreame-z10-pro-laser-vacuum-cleaner-in-xiaomi-integration/423558

Iirc Xiaomi has different data centers, like eu, cn, us. You have to pick the correct one when setting up the HA integration of your choice. Hope that helps

I’ve never subscribed to more than two - Netflix and Prime. Whenever exclusive stuff is somewhere else, I get it on Bluray or sth and add it to my Jellyfin. Since the first two get shittier every day, I’m thinking about cancelling them, but haven’t done yet

I’d recommend finding a tutorial for Docker+Portainer - Portainer is a container as well, which provides a web-gui to conveniently manage all your other containers (without having to touch the CLI ever again)

The Hacs Integration makes use of the device’s API - don’t know if it is their intended use of it, but it works

You can turn off the internet access at almost all Tuya devices by making use of the local tuya HACS add on in home assistant. Maybe that’s helpful for your research

Don’t worry, most of this is about learning :) You could also put Docker on the Linux, install Jellyfin as a Docker container, and only fore it up when you are using Jellyfin. It’s a little less convenient, than having it available all the time, but storing all media in H264 AC3 (most common video and audio codecs) costs a lot of storage (H265 and AV1 are far more efficient). Another pro of Docker is, when you decide to move your server, you just shut down the container, copy it’s data and start the container on the new device

You’ll have to keep in mind, that the pi is not really suitable for RAID and not at all for transcoding. The latter means if you have all your media in codecs your devices support, it’s direct play only, it will work, but as soon as you need to transcode, you will have a hard time

I’d go for the consumer case with as much drive space as possible, but in the end it’s up to your taste. With rackmount full professional server stuff, you have to keep in mind, it’s not only quite large in terms of space, but also noisy. This is something for the basement or something. Another option would be a mini pc like a NUC combined with a NAS - here is the limit the upgradability of the hardware. Like you can usually upgrade the RAM a little and the system drive, but that’s it. Especially for media stuff (Plex, Emby, Jellyfin) it can be interesting to have a dedicated GPU, like an Intel card, to have more transcoding capabilities. I’m currently running most things from a SFF PC, but also have a Pi and an old laptop in use for various tasks (main reason is lazyness to move the services to the SFF lol)

That’s the good thing about containers, that’s super easy. Just stop the container, move your folder to your desired location (e.g. /home/user/vaultwarden), change the path in your compose file (stack) (i.e.: /home/user/vaultwarden:/data/), redeploy the stack and that’s it :)