Bytes come in as an array of integers, which we could probably solve on
the PyO3 end instead, but this will do for now - the same fix is already
used for non-DB case.
https://forums.ankiweb.net/t/anki-2-1-50-beta/15608/15
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.
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.
Updating a deck via protobuf is now exposed on the backend, but not
currently on the frontend - I suspect we'll be better off writing
separate routines for the actions we need instead, and we get a better
undo description for free.
This is currently causing an ugly redraw in the browse screen, which
will need fixing.
Instead of generating a fluent.proto file with a giant enum, create
a .json file representing the translations that downstream consumers
can use for code generation.
This enables the generation of a separate method for each translation,
with a docstring that shows the actual text, and any required arguments
listed in the function signature.
The codebase is still using the old enum for now; updating it will need
to come in future commits, and the old enum will need to be kept
around, as add-ons are referencing it.
Other changes:
- move translation code into a separate crate
- store the translations on a per-file/module basis, which will allow
us to avoid sending 1000+ strings on each JS page load in the future
- drop the undocumented support for external .ftl files, that we weren't
using
- duplicate strings in translation files are now checked for at build
time
- fix i18n test failing when run outside Bazel
- drop slog dependency in i18n module
Rust requires all methods of impl Trait to be in a single file, which
means we had a giant backend/mod.rs covering all exposed methods. By
using separate service definitions for the separate areas, and updating
the code generation, we can split it into more manageable chunks -
this commit starts with the scheduling code.
In the long run, we'll probably want to split up the protobuf file into
multiple files as well.
Also dropped want_release_gil() from rsbridge, and the associated method
enum. While it allows us to skip the thread save/restore and mutex unlock/
lock, it looks to only be buying about 2.5% extra performance in the
best case (tested with timeit+format_timespan), and the majority of
the backend methods deal with I/O, and thus were already releasing the
GIL.
While mypy can understand nested references like ConfigBool.Key.COLLAPSE_RECENT,
PyCharm doesn't understand the metaclass syntax, and shows the definitions
as invalid.
- anki._backend stores the protobuf files and rsbackend.py code
- pylib modules import protobuf messages directly from the
_pb2 files, and explicitly export any will be returned or consumed
by public pylib functions, so that calling code can import from pylib
- the "rsbackend" no longer imports and re-exports protobuf messages
- pylib can just consume them directly.
- move errors to errors.py
Still todo:
- rsbridge
- finishing the work on rsbackend, and check what we need to add
back to the original file location to avoid breaking add-ons
