Matches should arrive in alphabetical order. Currently results are not
capped (JS should be able to handle ~1k tags without too much hassle),
and no reordering based on match location is done. Matches are substring
based, and multiple can be provided, eg "foo::bar" will match
"foof::baz::abbar".
This is not hooked up properly on the frontend at the moment -
updateSuggestions() seems to be missing the most recently typed character,
and is not updating the list of completions half the time.
Context: https://forums.ankiweb.net/t/more-cards-today-question-about-v3/12400/10
Previously, interday learning cards and reviews were gathered at the
same time in v3, with the review limit being applied to both of them. The
order cards were gathered in would change the ratio of gathered learning
cards and reviews, but as they were displayed together in a single count,
a changing ratio was not apparent, and no special handling was required
by the deck tree code.
Showing interday learning cards in the learning count, while still
applying a review limit to them, makes things more complicated, as
a changing ratio will result in different counts. The deck tree code
is not able to know which order cards will appear in, so without changes,
we would have had a situation where the deck list may show different counts
to those seen when clicking on a deck.
One way to solve this would have been to introduce a separate limit for
interday learning cards. But this would have meant users needed to
juggle two different limits, instead of having a single one that controls
total number of (non-intraday) cards shown.
Instead, the scheduler now fetches interday cards prior to reviews -
the rationale for that order is that learning cards tend to be more
fragile/urgent than reviews. The option to show learning cards
before/after/mixed with reviews still exists, but it applies only after
cards have been capped to the daily limit.
To ensure the deck tree code matches the counts the scheduler gives,
it too applies limits to interday learning cards first, and reviews
afterwards.
In order to split backend.proto into a more manageable size, the protobuf
handling needed to be updated. This took more time than I would have
liked, as each language handles protobuf differently:
- The Python Protobuf code ignores "package" directives, and relies
solely on how the files are laid out on disk. While it would have been
nice to keep the generated files in a private subpackage, Protobuf gets
confused if the files are located in a location that does not match
their original .proto layout, so the old approach of storing them in
_backend/ will not work. They now clutter up pylib/anki instead. I'm
rather annoyed by that, but alternatives seem to be having to add an extra
level to the Protobuf path, making the other languages suffer, or trying
to hack around the issue by munging sys.modules.
- Protobufjs fails to expose packages if they don't start with a capital
letter, despite the fact that lowercase packages are the norm in most
languages :-( This required a patch to fix.
- Rust was the easiest, as Prost is relatively straightforward compared
to Google's tools.
The Protobuf files are now stored in /proto/anki, with a separate package
for each file. I've split backend.proto into a few files as a test, but
the majority of that work is still to come.
The Python Protobuf building is a bit of a hack at the moment, hard-coding
"proto" as the top level folder, but it seems to get the job done for now.
Also changed the workspace name, as there seems to be a number of Bazel
repos moving away from the more awkward reverse DNS naming style.
