This adds Python 3.9 and 3.10 typing syntax to files that import
attributions from __future___. Python 3.9 should be able to cope with
the 3.10 syntax, but Python 3.8 will no longer work.
On Windows/Mac, install the latest Python 3.9 version from python.org.
There are currently no orjson wheels for Python 3.10 on Windows/Mac,
which will break the build unless you have Rust installed separately.
On Linux, modern distros should have Python 3.9 available already. If
you're on an older distro, you'll need to build Python from source first.
Python's regex engine performs pathologically on regexes like
'<!--.*?-->' when fed a large string of repeating '<!--' clauses.
Thanks to JaimeSlome / security@huntr.dev for the report; closes#1380.
Solved by switching to the Rust implementation, which does not suffer
from this issue.
entsToText(), minimizeHTML(), and the old regex constants have been
removed; they do not appear to be used by any add-ons.
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.
Interday learning cards are now counted in the learning count again,
and are no longer subject to the daily review limit.
The thinking behind the original change was that interday learning cards
are scheduled more like reviews, and counting them in the review count
would allow the learning count to focus on intraday learning - the red
number reflecting the fact that they are the most fragile memories. And
counting them together made it practical to apply the review limit
to both at once.
Since the release, there have been a number of users expecting to see
interday learning cards included in the learning count (the latest being
https://forums.ankiweb.net/t/feedback-and-a-feature-adjustment-request-for-2-1-45/12308),
and a good argument can be made for that too - they are, after all, listed
in the learning steps, and do tend to be harder than reviews. Short of
introducing another count to keep track of interday and intraday learning
separately, moving back to the old behaviour seems like the best move.
This also means it is not really practical to apply the review limit to
interday learning cards anymore, as the limit would be split between two
different numbers, and how much each number is capped would depend on
the order cards are introduced. The scheduler could figure this out, but
the deck list code does not know card order, and would need significant
changes to be able to produce numbers that matched the scheduler. And
even if we ignore implementation complexities, I think it would be more
difficult for users to reason about - the influence of the review limit
on new cards is confusing enough as it is.
This was flawed - while non-Latin text is now acceptable
in an IRI, we still need to be concerned with reserved characters
such as spaces, and Anki unfortunately has been storing the filenames
in unencoded form in the DB, meaning we must encode them at display
time. We won't be able to move away from this until existing notes
are rewritten, and it will probably require breaking compatibility with
older clients.
https://en.wikipedia.org/wiki/Internationalized_Resource_Identifier
This reverts commit 14110add55.
Will allow importing the Protobuf without pulling in the rest of
the library. This is not a full PEP420 namespace, and the wheel still
bundles everything - it just makes things easier in a Bazel workspace.
I originally tried with PEP420, but it required more invasive changes,
and I ran into issues with mypy.
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.
Back in the WebKit days, images with Unicode filenames would fail to
appear if they weren't percent-escaped. This no longer seems to be the
case - with this patch, images appear correctly on the Mac and Windows
platforms I tested with.
Fixes https://forums.ankiweb.net/t/anki-2-1-45-beta/10664/96Fixes#1219
