Ideally this would have been in beta 6 :-) No add-ons appear to be
using customstudy.py/taglimit.py though, so it should hopefully not be
disruptive.
In the earlier custom study changes, we didn't get around to addressing
issue #1136. Now instead of trying to determine the maximum increase
to allow (which doesn't work correctly with nested decks), we just
present the total available to the user again, and let them decide. There's
plenty of room for improvement here still, but further work here might
be better done once we look into decoupling deck limits from deck presets.
Tags and available cards are fetched prior to showing the dialog now,
and will show a progress dialog if things take a while.
Tags are stored in an aux var now, so they don't inflate the deck
object size.
IIRC, it was triggered when the user doesn't have a valid current
deck selected. currentRevLimit() sets default=False, but it is ignored
and the default deck is returned instead.
* Use submodule imports in aqt
* Use submodule imports in pylib
* More submodule imports in pylib
These required removing some direct imports to get rid of import cycles.
* Make hard repeat the current step's interval in v3
Unless for the first step to avoid identical interval with Again.
* Make Hard repeat the current step's interval in v2
* Adjust test to new Hard behaviour
* Fix steps being mistaken for seconds
* Cap steps at `u32::max` seconds
* Fix overflow of steps in Rust
* Prevent overflow of `IntervalKind`
* Prevent overflow in `revlod/mod.rs`
Also replace some `as` with `from` and `try_from` as is recommended to
highlight potential issues.
* Ensure v2 doesn't store overflowing revlog ivls
* Lower steps cap in deck options
Whereas large card intervals are converted to days, revlog intervals use
i32s to store large numbers of seconds.
* Format
The packaged builds of 2.1.50 use python -OO, which means our assertion
statements won't be run. This is not an issue for unit tests (as we
don't run them from a packaged build), or for type assertions (which are
added for mypy's benefit), but we do need to ensure that invariant checks
are still run.
* PEP8 dbproxy.py
* PEP8 errors.py
* PEP8 httpclient.py
* PEP8 lang.py
* PEP8 latex.py
* Add decorator to deprectate key words
* Make replacement for deprecated attribute optional
* Use new helper `_print_replacement_warning()`
* PEP8 media.py
* PEP8 rsbackend.py
* PEP8 sound.py
* PEP8 stdmodels.py
* PEP8 storage.py
* PEP8 sync.py
* PEP8 tags.py
* PEP8 template.py
* PEP8 types.py
* Fix DeprecatedNamesMixinForModule
The class methods need to be overridden with instance methods, so every
module has its own dicts.
* Use `# pylint: disable=invalid-name` instead of id
* PEP8 utils.py
* Only decorate `__getattr__` with `@no_type_check`
* Fix mypy issue with snakecase
Importing it from `anki._vendor` raises attribute errors.
* Format
* Remove inheritance of DeprecatedNamesMixin
There's almost no shared code now and overriding classmethods with
instance methods raises mypy issues.
* Fix traceback frames of deprecation warnings
* remove fn/TimedLog (dae)
Neither Anki nor add-ons appear to have been using it
* fix some issues with stringcase use (dae)
- the wheel was depending on the PyPI version instead of our vendored
version
- _vendor:stringcase should not have been listed in the anki py_library.
We already include the sources in py_srcs, and need to refer to them
directly. By listing _vendor:stringcase as well, we were making a
top-level stringcase library available, which would have only worked for
distributing because the wheel definition was also incorrect.
- mypy errors are what caused me to mistakenly add the above - they
were because the type: ignore at the top of stringcase.py was causing
mypy to completely ignore the file, so it was not aware of any attributes
it contained.
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.
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.
- make sure we set flag in changes when config var changed
- move current deck get/set into backend
- set_config() now returns a bool indicating whether a change was
made, so other operations can be gated off it
- active decks generation is deferred until sched.reset()
- QueueConfig is only used by the scheduler
- DeckConfig was being used in places that Config should have been used
- Add "Dict" to the name so that the bare name is free for use with a
stronger type.
