#metabrainz

Good question. I believe the plan was to re-run the YIM stats tomorrow, so it's probably still good to keep it there

lucifer it is also present in the explore section rn

Right monkey

ah! i didn't know about that. sounds good.

i wonder if a tab could be added to user homepage as well.

We're working on that lucifer

👍

We had even decided for an actual profile page on LB

bitmap: wait, it actually managed to return all million + editors in a single page?

Without timing out? :D

it started to, I hit the stop button before my computer crashed :P

(was using the sample DB so it only returned about 16k)

oh selenium tests are failing for PRs based on master 'cause it's missing https://github.com/metabrainz/musicbrainz-serve...

i merged beta into master just now

Ok :)

bitmap: would you suggest to just do load_paged there or?

yeah. we should require selecting at least one option I guess, but load_paged could be useful for e.g. the spammer flag or other common ones

reosarevok: The placeholder icon for editor looks good, feel free to merge it, thanks!

[musicbrainz-server] 14reosarevok merged pull request #2398 (03beta…readd-default-avatars): Add a default editor avatar for display https://github.com/metabrainz/musicbrainz-serve...

[musicbrainz-server] 14reosarevok merged pull request #2293 (03master…MBS-11986): MBS-11986 / MBS-12128: New account flag: Spammer https://github.com/metabrainz/musicbrainz-serve...

Thanks for the reviews!

I'll release as soon as I fix the bug I'm fighting

Great, it can be tomorrow if needed.

<BANG>

It’s Street Children’s Monday!

I haven’t received any mailed in reviews. Which means the usual suspects are up: lucifer, mayhem, reosarevok, bitmap, alastairp, yvanzo, akshaaatt, monkey, zas, CatQuest, Freso – anyone else who want to give review, let me know ASAP!

lucifer: Go!

hi all!

i mostly worked on migrating various parts of LB to use user ids instead of user names. we'll hopefully deploy it all this week.

also discussed some stuff about listen counts and timestamps with mayhem and worked on that.

other than that follow up on existing PRs. that's it for me.

alastairp: next?

hello there

CatQuest: BB is in node.js, LB in python so no code reuse possible there

aw

last week I reviewed some things for lucifer - documentation stuff from the previous week + the user id stuff, and a bit of the timestamps things too

I did some further digging into automatic computation of the "mood" of audio recordings

although this turned into a few different discussions with mayhem and others about how we can use our commumity to help us get better annotations for content in MB without resorting to automatic classifiers

I also spent some time preparing classes and teaching them at the uni, so was away for a bit in the middle of the week for that

that's it for me, yvanzo next?

Thanks, hi all!

I mostly finalized scripts to repair indexing MB in Solr when broken.

Resent 880K search index requests to the indexer, most from previous failures in 2021.

Also reviewed a coupe of MBS PRs, including the spammer flag’s PR.

Fin. Go reosarevok?

🙌

Hi!

(Still up: mayhem, bitmap, akshaaatt, monkey, zas, CatQuest, Freso – anyone else who want to give review, let me know ASAP!)

I mostly reviewed our Perl tests

And wrote docs for them

As in, added descriptions of what they actually do

Other than that, some code review and some finally fixing some small bugs that I hadn't found time to look into before the holidays

CatQuest: you?

I've been working

this week I'll be working more!

today is both clothmass and chinese new years! 🎊

I'm also going to work on instrument documentation (with reosarevok)

finally I hope to add some more instruments

fin! next can be: monkey! 🐒

Hi everyone !

Last week I spent most of my time reviewing and merging PRs for BookBrainz and ListenBrainz.

There was (and still is!) a big backlog of PRs from the holidays that I hadn't got to yet, and a lot of general repo upkeep tasks.

Including fixing the automated linting setup for the github repo

I helped BenOckmore roll out an update from Boostrap version 3 to v4, now deployed on beta.bookbrainz.org

And as a follow-up, I'm currently reading v4 to v5 migration guides. I think we'll soon want to use the design-system package that akshaat is working on which uses Bootstrap v5.

I also helped Shubh with a couple of big impact projects for BookBrainz: notifications and import userscripts.
The latter requires creating POST endpoints to pre-fill entities, as those don't exist in BB yet.

And that's most of it ! bitmap go !

hey

:O

last week I mostly worked on code review, plus fixing test failures and merge conflicts in open PRs

was trying to fix more test flakiness since circleci often fails for no reason, so pushed a couple changes for that that seem to help

other than that I was working on finishing some pgtap tests for the area_containment schema change I mentioned a couple weeks ago (that would improve perf of the area-related pages)

fin. mayhem go!

hey!

last week was finishing off more documentation and emails and some more peer learning network calls.

but then thursday evening inspiration struck and I realized we can use listens to calculate something akin to recording similarity. this factors into alastairp's update about using LB to generate some of the data we were hoping to product from AB.

and this realization, after doing about 5 hours of work and getting promising results, changes many things about how we should be moving forward with AB.

(Sorry, Ffx crashed. On mobile while I reboot.)

I hope that alastairp and I can chat about it more and that I can finish the proof of concept and tune the results a bit.

fin. zas?

There's already a patch for that and deployed on beta now CatQuest :)

mayhem: let's do that chat tomorrow!

Hey

last week I worked on Picard patches & reviews, many good and big patches from phw (like support for long due eac logs)

great!

I also upgraded discourse in multiple steps (I started on friday, but I delayed to today the rest, and I did well, it failed)

so we are now running discourse 2.8

🙌

monkey: whooo

plus usual tasks, edits, etc.. fin. akshaaatt ?

Hi everyone!

I enjoyed working last week since I got the design system up and sailing!

I think we have some discussions and work incoming for the design system.

I fixed open PRs in MB and LB, and removed the boilerplate code that my past self had added.

Some Android app work is always happening in the background as well.

I'm happy with the way February is looking!

That's it for me. fin!

Go Fresh!

👋

Freso*

fresh-o

Last week I started working on some community management docs, still a way to go on that.

There were a couple of other things too, but I can't access my time tracker rn. :/

I'll be getting my booster shot tomorrow (finally), so I'll take most of tomorrow and Wednesday off.

I haven't reacted too poorly to prior vaccines (covid or otherwise), so I don't expect to be out for long... But we'll see how I feel Wed/Thu/Fri.

CatQuest: yes.

aahh. highfive

Fin.

I think that's all for reviews, right?

Yes

Thank you :)

yes

And thank you all for your reviews!

Thank you!

nothing more for today, i think

No more items on tonight's agenda, so this also concluded tonight's meeting.

Thank you all for your time! Stay safe out there! 🙏

</BANG>

[listenbrainz-server] 14amCap1712 opened pull request #1836 (03master…amCap1712-patch-2): cron: fix feedback dump command https://github.com/metabrainz/listenbrainz-serv...

mayhem: after your work last week I've also been mulling over a bunch of things, especially around content-based computation vs user data-based and when each of them is useful

have you found useful cases for the content based approach is the not BPM?

and I was reading a bit about differences between "recommendation" vs "playlisting" (Ben F and Paul L did a well-known tutorial about this >10 years ago now - https://www.slideshare.net/BenFields/finding-a-...), I'm interested to see how this fits in with some of your ideas

I had a really quick look through some papers and other documents

one of the biggest drivers for content-based computation is "what do we do about the long tail?"

so, stuff that doesn't have a lot of people listening to it (because it's not popular, or because it was released yesterday)

ok, I can see that. deffno not low hanging fruit though

so a lot of the work on "content-based recommendation" was trying to take user-based data, which was known to be pretty good, and see if they could get similar results using only the audio content compared to the user-centric methods

which I think ties into a lot of this discussion about what we're collecting the data for, and what we want to do with it

I think it's correct to say that if we have a lot of user interaction data, for popular tracks, then that's definitely the way to go

agreed, that has become more than evident now.

I'd really like to be recommended less popular stuff too though :)

and if we want to try and work out how to do recommendation in the long tail then we have to look at a combination of things (there's been a lot of work in this area for years, since Oscar Celma's PhD), but I'm not sure what the current state of the art on that is

(eventually)

I think this popular vs long tail distinction is a good one for us to keep in mind.

that's a pretty good overview in only 130 slides, for the most part you can skip the mathy slides

reosarevok: there's a bit of stuff in there about methods to get recommendations for less popular stuff if you don't have play data

which doesn't go all the way to automatically extracted features

which we might have a lot of low hanging fruit on (relationships in MB, wikipedia, reviews, etc)

mayhem: https://link.springer.com/book/10.1007/978-3-66... appears to be Peter Knees' book on this - I suspect's mostly covering research he's done over the last 5-10 years (same person who did that tutorial)

I'm going to start thinking about how OSS methods could help in address the long tail issues.

the univeristy doesn't have it, but I made an inter-library loan

oh cool.

Oscar's PhD: http://www.mtg.upf.edu/static/media/PhD_ocelma.pdf and book of the same: https://www.amazon.com/Music-Recommendation-Dis...

anyway, see you in the office tomororw