In particular, pet#load was handling locale-switching itself, but wasn't
switching back to original locale on error. We could've used a rescue
block, but, when I18n.with_locale is so cool, may as well use it fully.
We originally had a regression on name-matching, where, among
other issues, `straw hat` returned items containing both "straw"
and "hat", which isn't really helpful behavior since we're sorting
alphabetically. Now, `straw hat` behaves as expected.
Additionally, "phrases like these" behave as expected, too.
Confirmed features:
* Output (retrieval, sorting, etc.)
* Name (positive and negative, but new behavior)
* Flags (positive and negative)
Planned features:
* users:owns, user:wants
Known issues:
* Sets are broken
* Don't render properly
* Shouldn't actually be done as joined sets, anyway, since
we actually want (set1_zone1 OR set1_zone2) AND
(set2_zone1 OR set2_zone2), which will require breaking
it into multiple terms queries.
* Name has regressed: ignores phrases, doesn't require *all*
words. While we're breaking sets into multiple queries,
maybe we'll do something similar for name. In fact, we
really kinda have to if we're gonna keep sorting by name,
since "straw hat" returns all hats. Eww.
For example, the Meerca Maid Tray is a foreground item, so the SWF is marked
as compatible with all body types, but the item itself is clearly marked as
Meercas-only. items#show reflected this properly, but the swf_assets#index
call that the wardrobe uses ignored item.species_support_ids.
So, /bodies/:body_id/swf_assets.json?item_ids[]=... was deprecated in favor
of /pet_types/:pet_type_id/items/swf_assets.json?item_ids=[]..., which is
much like the former route but, before loading assets, also loads the pet
type and items, then filters the items by compatibility, then only loads
assets for the compatible items.
Use the ImageMagick flatten command to generate the output all at
once instead of compositing each layer individually, and download
the layers in parallel. On my box, saving roopal27 five times took
a total of 30 seconds before, whereas now it takes 7 seconds. I
expect it to be even better on the production box, where latency
is even lower.
