If you delete a closet list without deleting the items in it, it'll dump them into your default own/want lists. This isn't necessarily the behavior we really want, but oh well, that's the truth right now!
The GraphQL endpoint was assuming that all hanger `list_id` values were valid, oops! Now, we ignore list IDs that don't match a list.
Oh beans, I made an env variable change that I thought would switch us over to db.impress.openneo.net, and I was just plain wrong, darn. impress-2020 has been fully failing since then, oops!!!
Here, we change it to be an environment variable, so that in the future it will work how I want it to lol
Oops, we added behavior that varies the CORS response headers according to the incoming `Origin` header, but we forgot to add `Vary: Origin`!
This doesn't cause an issue for the app when you make requests to the server directly, but since it's behind a Fastly cache layer, we ended up caching responses that didn't include CORS headers but should have.
Now, this will instruct the Fastly cache to treat requests with different `Origin` headers as being entirely different. (This means we won't be sharing caches between requests from impress-2020 and the Rails app anymore, but that should be okay in practice!)
This was Dice's idea ty!! Now, instead of crashing when looking up any pet whose name starts with a number, we do a clever lil workaround instead! We don't get *all* the data back (we're missing metadata), but that's fine for the main use case of typing your pet name in at the homepage.
Sigh, I guess xmlrpc was deleted? Back to the method that doesn't work for pets with leading digits in their names, sobbe
Dice has a neat idea for how to work around that, but I'm not sure how to fit it in our architecture, let's take a look!
One problem I run into with the archive task is that sometimes the queries time out? My hunch is that maybe some of the assets have like, weirdly big manifest files that are being transferred as surprisingly big text files?
Anyway, I'm increasing the timeout to 20s, which is big, but big feels good for a script that doesn't run often and where failing is not great news!
I'm also idly considering whether I wanna finally put in the work to do a bulk S3 uploader sometime, because the current version that iterates over multiple `aws s3 cp` calls is just real slow, I think because it establishes a new connection each time, and that operation is maybe surprisingly expensive? And the CLI doesn't have a way to do multiple uploads any more precisely than "sync up this whole folder", which is slow when the folder contains a lot of stuff you _know_ you don't want to head up there.
Tested this out and compared to Dice's other work in Neobot and I think the condition should be the other way around, as it is here? (I found myself starting to write the explanatory comment, and realizing it wasn't making sense, then going heyyy wait a minute lol)
I tried it in my lil Ubuntu WSL box and hey, it worked great! Neat!!
Pretty neat to have just sat down and fixed up the dev environment for other people?? I'll see about what it would take to actually invite people in…
Now, someone with production DB access can run `yarn db:export:public-data` to create `public-data-constants.sql` and `public-data-from-modeling.sql`.
Then, someone setting up their dev database can run `yarn db:setup-dev:full` and get all the wearables data imported right into their dev database!
I'm noticing just how poorly I'm keeping up with my own goals for finishing up DTI, and wondering if now is a good time to circle back to some old offers for code contributions I got last year… I also just figure that making this app Possible To Run with a backup of the basic public database is like. a pretty handy thing to have for archival's sake imo
Note that, for this change, we also set up Git LFS (Large File Storage). Github should be automatically compatible with this! It's a way to not write the whole 30MB database dump into the repository history, and instead keep it in a secondary filestore, because Git's core algorithms aren't really built to handle large blobs of data very well. Users setting up their dev environment will therefore also need to have Git LFS installed for this script to work! (Otherwise, they'll see a "pointer" file in `public-data-from-modeling.sql.gz` that contains some metadata about the file state but not the data itself.)
Ok great, we can now run the delta archive process!
It'd be nice to get this running on cron on the impress-2020 server, to a temporary folder? I *do* want to be remembering to run something regularly on my personal machine too though, to keep my own copy up-to-date…
That's what I get for not fully testing lmao! But right, paths in shell scripts are relative to the working directory, and if I want to be relative to the script I gotta use dirname!
Finally playing with this, now that we've been doing paginated search results in the main element! Let's see how it goes 😳
I made a thing to make the pagination toolbar smaller (might want to do that on the mobile view too?), and also to put the search suggestions in a popover floating at the top of the search box.
I tried to do this earlier, but the caching problem from the previous commit (where we weren't including `id` for the search result in the GQL query) was causing it to do a like, infinite loop thing, where the preload results would cache-invalidate the current results, and so the 3 queries would just fight for which one's in the cache?
But now that caching is working, this is working too! Makes it all feel a lot snappier :3
Apollo Client is pretty darn reliant on an `id` field for effective caching, more often than you'd think!
Before this change, navigating back to a page you'd already loaded would cause it to reload. After this change, it no longer does, and serves the page from cache instead!
We also didn't need the query one, because we now `key` the `SearchResults` by the query, so the container becomes empty-then-full-again, which resets scroll back to top.
idk this has been a long-time popular request, so I'm just gonna like. throw it all the way out there. and see what people think of it
I'm a bit worried it might change up the mobile experience too much? But like. let's find out!
My intention is to move this out of PaginationToolbar entirely, so that it becomes a component we can reuse in a non-URL-state setting. (I'm looking at using pagination for the wardrobe item search is why!)
We do a thing where we sometimes proactively update an appearance layer's manifest from images.neopets.com when it's been a while since the last time, _during_ user requests.
But when images.neopets.com is being slow, this makes our API requests about appearances super slow, too!
In this change, we add a 2-second timeout to those requests. That should be plenty for when images.neopets.com is in a good mood, but also give up fast enough for the site to not feel miserable lol :p (especially when the use "Use DTI's image archive" option is on!)
Sat down and thought about the structure here and how to make the full/delta stuff make more sense together! Here's what I came up with!
In both full and delta archiving, we prepare the manifest, we create the local archive, then we upload it to remote.
I like running the full `archive:create` to help us be _confident_ we've got the whole darn thing, but it takes multiple days to run on my machine and its slow HDD, which… I'm willing to do _sometimes_, but not frequently.
But if we had a version of the script that ran faster, and only on URLs we still _need_, we could run that more regularly and keep our live archive relatively up-to-date. This would enable us to build reliable fallback infra for when images.neopets.com isn't responding (like today lol)!
Anyway, I stopped early in this process because images.neopets.com is bad today, which means I can't really run updates today, lol :p but the delta-ing stuff seems to work, and takes closer to 30min to get the full state from the live archive, which is, y'know, still slow, but will make for a MUCH faster process than multiple days, lol