* Ensure state mutator runs after card is rendered
* Ensure ease buttons only show when states are ready
* Pass context into states mutator
* Revert queuing of state mutator hook
Now that context data is exposed users shouldn't rely on the question
having been rendered anymore.
* Use callbacks instead of signals and timeout
... to track whether the states mutator ran or failed.
* Make mutator async
* Remove State enum
* Reduce requests and compute seed on backend
* Enable state-dependent custom scheduling data
* Next(Card)States -> SchedulingStates
The fact that `current` was included in `next` always bothered me,
and custom data is part of the card state, so that was a bit confusing
too.
* Store custom_data in SchedulingState
* Make custom_data optional when answering
Avoids having to send it 4 extra times to the frontend, and avoids the
legacy answerCard() API clobbering the stored data.
Co-authored-by: Damien Elmes <gpg@ankiweb.net>
* Add card meta for persisting custom scheduling state
* Rename meta -> custom_data
* Enforce limits on size of custom data
Large values will slow down table scans of the cards table, and it's
easier to be strict now and possibly relax things in the future than
the opposite.
* Pack card states and customData into a single message
+ default customData to empty if it can't be parsed
Co-authored-by: Damien Elmes <gpg@ankiweb.net>
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.
* Add _bytes methods for all methods in the backend
Expose get_note in qt/aqt/mediasrv.py
* Satisfy formatter
* Rename _bytes function to _raw and have them bytes as input
* Fix backend generation
* Use lib/proto/deckOptions in deck-options
* Add exposed_backend to qt/aqt/mediasrv.py
* Move some more backend methods to exposed_backend_list
* Use protobufjs for congrats and i18n
* Use protobufjs for completeTag
* Use protobufjs services in change-notetype
* Reorder post handlers in alphabetical manner
* Satisfy tests
* Remove unused collection methods
* Rename access_backend to raw_backend_request
* Use _vendor.stringcase instead of creating a new function
* Remove SKIP_UNROLL_OUTPUT
* Directly call _run_command in non _raw methods
* Remove TranslateString, ChangeNotetype and CompleteTag from SKIP_UNROLL_INPUT
* Remove UpdateDeckConfigs from SKIP_UNROLL_INPUT
* Remove ChangeNotetype from SKIP_UNROLL_INPUT
* Remove SKIP_UNROLL_INPUT
* Fix typing issue with translate_string
- Adds typing support for Protobuf maps in genbackend.py
* Do not emit convenience method for protobuf TranslateString
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.
Avoids duplicate work, and is a step towards allowing the next
states to be modified by third-party code.
Also:
- fixed incorrect underlined count, due to reviews being labeled as
learning cards
- fixed reviewer not refreshing when undoing a test review, by splitting
up backend queue rebuilding from frontend reviewer refresh
- moved answering into a CollectionOp
The explicit flush was clearing undo history, and the hook will need
re-working to support propagating OpChanges correctly. It will likely
come back as a GUI hook, instead of one in pylib.
