All docker files look something like this

services:
  service_name:
    image: author/project:latest
    container_name: service_name
    volumes:
      - service_data:/app/data/

volumes:
  service_data:

Yes, this makes the data to persist, but it creates a directory with a random name inside /var/lib/docker/volumes/
This makes it really hard to actually have ownership of the data of the service (for example to create backups, or to migrate to another host)

Why is it standard practice to use this instead of having a directory mounted inside at the same level you have your docker-compose.yml?
Like this - ./service_data:/app/data

I have in mind two options:

• Code in the class being saved/loaded. The flows for each entity/model are in the same place, so it's easy to just have one file open to see all the functionalities of that class, but this means having more code in a single file.
• Code in a dedicated class (like a factory)
  This makes each file smaller, but spreads flows of a single model into different parts of the repo, also because I'm thinking of having a directory /src/models and another like /src/export (or serialize)

What do you guys think?
What's your preferred way to organize the save and load flows?

I'm having issue making a container running in the network of gluetun to access the host.

In theory there's a variable for this: FIREWALL_OUTBOUND_SUBNETS
https://github.com/qdm12/gluetun-wiki/blob/main/setup/connect-a-lan-device-to-gluetun.md#access-your-lan-through-gluetun
When I include 172.16.0.0/12 I can ping the ip assigned with host-gateway but I can't curl anything.

The command just stays like this until it timesout

# curl -vvv 172.17.0.1
*   Trying 172.17.0.1:80...

I also tried adding 100.64.0.0/10 to connect to tailscale but is the same response, can ping and timedout curl.

Any other request works properly connected via the VPN configured in gluetun

Do you guys have any idea what I might be missing?

I'm trying to see how active a project is, but dependabot spam makes it annoying to find actual commits and to know if those commits are relevant.

There's no need for me to know chai was updated from 5.1.1 to 5.1.2, I want to see what were the most recent actual features implemented.

Savez-vous si il y aura des problèmes avec cette situation?

J'ai juste rejeté l'augmentation du loyer pis la compagnie as envoyé le cas au TAL.
Si je fait une cession de bail, le prochain propriétaire auras des problèmes?
Je me demande au cas où cela pourrait effrayer les candidats possibles ou si j'aurai des problèmes.

Je crois aussi que la compagnie pourrait rejeter ces deux processus parce que les deux département sont à eux, c'est ça?

Que me recommandez-vous?

Mon département est 3 1/2, et le outre est 4 1/2, pour seulement ~$30 plus.

So, I'm selfhosting immich, the issue is we tend to take a lot of pictures of the same scene/thing to later pick the best, and well, we can have 5~10 photos which are basically duplicates but not quite.
Some duplicate finding programs put those images at 95% or more similarity.

I'm wondering if there's any way, probably at file system level, for the same images to be compressed together.
Maybe deduplication?
Have any of you guys handled a similar situation?

I was using SQL_CALC_FOUND_ROWS and SELECT FOUND_ROWS();
But this has been deprecated https://dev.mysql.com/doc/refman/8.0/en/information-functions.html#function_found-rows

The recommended way now is first to query with limit and then again without it selecting count(*).
My query is a bit complex and joins a couple of tables with a large number of records, which makes each select take up to 4 seconds, so my process now takes double the time compared to as I just keep using found rows.

How can I go back to just running the select a single time and still getting the total number of rows found without the limit?

cross-posted from: https://lemmy.pe1uca.dev/post/1512941

I'm trying to configure some NFC tags to automatically open an app, which is easy, just have to type the package name.
But I'm wondering how I can launch the app in a specific activity.

Specifically when I search for FitoTrack in my phone I get the option to launch the app directly into the workout I want to track, so I don't have to launch the app, click the FAB, click "Record workout" and then select the workout.
So I want to have a tag which will automatically launch this app into a specific workout.

How can I know what's the data I need to put into the tag to do this?

Probably looking at the code will give me the answer, but this won't apply to closed source apps, so is there a way to get all the ways all my installed apps can be launched?

I'm trying to configure some NFC tags to automatically open an app, which is easy, just have to type the package name.
But I'm wondering how I can launch the app in a specific activity.

Specifically when I search for FitoTrack in my phone I get the option to launch the app directly into the workout I want to track, so I don't have to launch the app, click the FAB, click "Record workout" and then select the workout.
So I want to have a tag which will automatically launch this app into a specific workout.

How can I know what's the data I need to put into the tag to do this?

Probably looking at the code will give me the answer, but this won't apply to closed source apps, so is there a way to get all the ways all my installed apps can be launched?

I'm using https://github.com/rhasspy/piper mostly to create some audiobooks and read some posts/news, but the voices available are not always comfortable to listen to.

Do you guys have any recommendation for a voice changer to process these audio files?
Preferably it'll have a CLI so I can include it in my pipeline to process RSS feeds, but I don't mind having to work through an UI.
Bonus points if it can process the audio streams.

cross-posted from: https://lemmy.pe1uca.dev/post/1434359

I was trying to debug an issue I have connecting to a NAS, so I was checking the logs of UFW and found out there are a lot of connections being blocked from my chromecast HD (AndroidTV) on different ports via the local IP.

Sometimes I use jellyfin, but that's over tailscale, so there shouldn't be any traffic over local IP, just over tailscale's IP.
But shouldn't have traffic right now since I wasn't using it and didn't have tailscale on.

The ports seem random, just sometimes they are tried two times back to back, but afterwards another random port is tried to be accessed.

After seeing this I enabled UFW in my daily machine and the same type of logs showed up.

So, do you guys know what could be happening here?
Why is chromecast trying to access random ports on devices in the same network?

cross-posted from: https://lemmy.pe1uca.dev/post/1434359

I was trying to debug an issue I have connecting to a NAS, so I was checking the logs of UFW and found out there are a lot of connections being blocked from my chromecast HD (AndroidTV) on different ports via the local IP.

Sometimes I use jellyfin, but that's over tailscale, so there shouldn't be any traffic over local IP, just over tailscale's IP.
But shouldn't have traffic right now since I wasn't using it and didn't have tailscale on.

The ports seem random, just sometimes they are tried two times back to back, but afterwards another random port is tried to be accessed.

After seeing this I enabled UFW in my daily machine and the same type of logs showed up.

So, do you guys know what could be happening here?
Why is chromecast trying to access random ports on devices in the same network?

I was trying to debug an issue I have connecting to a NAS, so I was checking the logs of UFW and found out there are a lot of connections being blocked from my chromecast HD (AndroidTV) on different ports via the local IP.

Sometimes I use jellyfin, but that's over tailscale, so there shouldn't be any traffic over local IP, just over tailscale's IP.
But shouldn't have traffic right now since I wasn't using it and didn't have tailscale on.

The ports seem random, just sometimes they are tried two times back to back, but afterwards another random port is tried to be accessed.

After seeing this I enabled UFW in my daily machine and the same type of logs showed up.

So, do you guys know what could be happening here?
Why is chromecast trying to access random ports on devices in the same network?

I've only used ufw and just now I had to run this command to fix an issue with docker.
sudo iptables -I INPUT -i docker0 -j ACCEPT
I don't know why I had to run this to make curl work.

So, what did I exactly just do?
This is behind my house router which already has reject input from wan, so I'm guessing it's fine, right?

I'm asking since the image I'm running at home I was previously running it in a VPS which has a public IP and this makes me wonder if I have something open there without knowing :/

ufw is configured to deny all incoming, but I learnt docker by passes this if you configure the ports like 8080:8080 instead of 127.0.0.1:8080:8080. And I confirmed it by accessing the ip and port.

I mean, the price of the product is the same, I'm taking a loan for the duration of the credit but paying no interest?
What's the catch?
I can keep my money making a bit of interest instead of giving it right away and without increasing the price of what I was already planning to buy. When or why wouldn't I choose 0% credits?

I'm looking at my library and I'm wondering if I should process some of it to reduce the size of some files.

There are some movies in 720p that are 1.6~1.9GB each. And then there are some at the same resolution but are 2.5GB.
I even have some in 1080p which are just 2GB.
I only have two movies in 4k, one is 3.4GB and the other is 36.2GB (can't really tell the detail difference since I don't have 4k displays)

And then there's an anime I have twice at the same resolution, one set of files are around 669~671MB, the other set 191 each (although in this the quality is kind of noticeable while playing them, as opposed to the other files I extract some frames)

What would you do? what's your target size for movies and series? What bitrate do you go for in which codec?

Not sure if it's kind of blasphemy in here talking about trying to compromise quality for size, hehe, but I don't know where to ask this. I was planning on using these settings in ffmpeg, what do you think?
I tried it in an anime at 1080p, from 670MB to 570MB, and I wasn't able to tell the difference in quality extracting a frame form the input and the output.
ffmpeg -y -threads 4 -init_hw_device cuda=cu:0 -filter_hw_device cu -hwaccel cuda -i './01.mp4' -c:v h264_nvenc -preset:v p7 -profile:v main -level:v 4.0 -vf "hwupload_cuda,scale_cuda=format=yuv420p" -rc:v vbr -cq:v 26 -rc-lookahead:v 32 -b:v 0

I need to help auditing a project from another team.
I got the pointers on what's expected to be checked, but I don't have like templates for documents for what's expected from an audit report which also means I'm not sure what's the usual process to conduct an internal audit.
I mean I might as well read the whole repo, but maybe that's too much?

Any help or pointers on what I need to investigate to get started would be great!

cross-posted from: https://lemmy.pe1uca.dev/post/1136490

I'm checking this mini pc https://www.acemagic.com/products/acemagic-ad08-intel-core-i9-11900h-mini-pc

It says the M2 and SATA ports are limited to 2TB, but I can't imagine why that's the case.
Could there be a limit on the motherboard? On the CPU?
If most likely this is done in software (windows) probably it won't matter since I'm planning to switch to linux.

What I want to avoid is buying it and being unable to use an 8TB drive.

I'm checking this mini pc https://www.acemagic.com/products/acemagic-ad08-intel-core-i9-11900h-mini-pc

It says the M2 and SATA ports are limited to 2TB, but I can't imagine why that's the case.
Could there be a limit on the motherboard? On the CPU?
If most likely this is done in software (windows) probably it won't matter since I'm planning to switch to linux.

What I want to avoid is buying it and being unable to use an 8TB drive.

I started tinkering with frigate and saw the option to use a coral ai device to process the video feeds for object recognition.

So, I started checking a bit more what else could be done with the device, and everything listed in the site is related to human recognition (poses, faces, parts) or voice recognition.

In some part I read stable diffusion or LLMs are not an option since they require a lot of ram which these kind of devices lack.

What other good/interesting uses can these devices have? What are some of your deployed services using these devices for?