* Remove v1/v2 support from deck list
* Remove v1/v2 support from most routines and show error
* Remove scheduler_version from preferences
* Fix formatting
* Remove v1/v2 conditionals from Python code
* Fix legacy importer
* Remove legacy hooks
* Add missing scheduler checks
* Remove V2 logic from deck options screen
* Remove the review_did_undo hook
* Restore ability to open old options with shift (dae)
Combined with the previous changes, this allows the mobile clients to
build the web components without having to set up a Python environment,
and should speed up AnkiDroid CI.
* Fix .no-reduce-motion missing from graphs spinner, and not being honored
* Begin migration from protobuf.js -> protobuf-es
Motivation:
- Protobuf-es has a nicer API: messages are represented as classes, and
fields which should exist are not marked as nullable.
- As it uses modules, only the proto messages we actually use get included
in our bundle output. Protobuf.js put everything in a namespace, which
prevented tree-shaking, and made it awkward to access inner messages.
- ./run after touching a proto file drops from about 8s to 6s on my machine. The tradeoff
is slower decoding/encoding (#2043), but that was mainly a concern for the
graphs page, and was unblocked by
37151213cd
Approach/notes:
- We generate the new protobuf-es interface in addition to existing
protobuf.js interface, so we can migrate a module at a time, starting
with the graphs module.
- rslib:proto now generates RPC methods for TS in addition to the Python
interface. The input-arg-unrolling behaviour of the Python generation is
not required here, as we declare the input arg as a PlainMessage<T>, which
marks it as requiring all fields to be provided.
- i64 is represented as bigint in protobuf-es. We were using a patch to
protobuf.js to get it to output Javascript numbers instead of long.js
types, but now that our supported browser versions support bigint, it's
probably worth biting the bullet and migrating to bigint use. Our IDs
fit comfortably within MAX_SAFE_INTEGER, but that may not hold for future
fields we add.
- Oneofs are handled differently in protobuf-es, and are going to need
some refactoring.
Other notable changes:
- Added a --mkdir arg to our build runner, so we can create a dir easily
during the build on Windows.
- Simplified the preference handling code, by wrapping the preferences
in an outer store, instead of a separate store for each individual
preference. This means a change to one preference will trigger a redraw
of all components that depend on the preference store, but the redrawing
is cheap after moving the data processing to Rust, and it makes the code
easier to follow.
- Drop async(Reactive).ts in favour of more explicit handling with await
blocks/updating.
- Renamed add_inputs_to_group() -> add_dependency(), and fixed it not adding
dependencies to parent groups. Renamed add() -> add_action() for clarity.
* Remove a couple of unused proto imports
* Migrate card info
* Migrate congrats, image occlusion, and tag editor
+ Fix imports for multi-word proto files.
* Migrate change-notetype
* Migrate deck options
* Bump target to es2020; simplify ts lib list
Have used caniuse.com to confirm Chromium 77, iOS 14.5 and the Chrome
on Android support the full es2017-es2020 features.
* Migrate import-csv
* Migrate i18n and fix missing output types in .js
* Migrate custom scheduling, and remove protobuf.js
To mostly maintain our old API contract, we make use of protobuf-es's
ability to convert to JSON, which follows the same format as protobuf.js
did. It doesn't cover all case: users who were previously changing the
variant of a type will need to update their code, as assigning to a new
variant no longer automatically removes the old one, which will cause an
error when we try to convert back from JSON. But I suspect the large majority
of users are adjusting the current variant rather than creating a new one,
and this saves us having to write proxy wrappers, so it seems like a
reasonable compromise.
One other change I made at the same time was to rename value->kind for
the oneofs in our custom study protos, as 'value' was easily confused
with the 'case/value' output that protobuf-es has.
With protobuf.js codegen removed, touching a proto file and invoking
./run drops from about 8s to 6s.
This closes#2043.
* Allow tree-shaking on protobuf types
* Display backend error messages in our ts alert()
* Make sourcemap generation opt-in for ts-run
Considerably slows down build, and not used most of the time.
A couple of motivations for this:
- genbackend.py was somewhat messy, and difficult to change with the
lack of types. The mobile clients used it as a base for their generation,
so improving it will make life easier for them too, once they're ported.
- It will make it easier to write a .ts generator in the future
- We currently implement a bunch of helper methods on protobuf types
which don't allow us to compile the protobuf types until we compile
the Anki crate. If we change this in the future, we will be able to
do more of the compilation up-front.
We no longer need to record the services in the proto file, as we can
extract the service order from the compiled protos. Support for map types
has also been added.
* add note types with occlusions and image fields
* generate image occlusion cloze div data
- generate div element with data-* atrributes for canvas shape generate for reviewer
* getting image data & deck id and adding notes
the implementation added into backend
- added service index in backend.proto for image occlusion request
- created image_occlusion.proto with required message and service
- implementation in backend for getting image and adding notes, also during editing return imagecloze note and update notes
- add notes to selected deck, if no notetype then add image occlusion notetypes
- reuse notetype from stock notetypes when not exist
* script for generating shapes using canvas api in reviewer
- the flash issues fixed by loading image and using image size to draw canvas, also when image get resized, calculate scale using natural width and canvas width to draw shape at right position
- limit size of canvas for safari
* init image occlusion page in ts and build page
with
- fabricjs for editing shapes
- panzoom for drag and zoom
- pickr for color picker
- build page using web.rs
* implement top toolbar for canvas shapes
- undo & redo tools
- zoom in, zoom out and zoom fit
- group & ungroup
- copy & paste
- set transparency of shapes
- align tools
* implement side toolbar for drawing shapes
add top toolbar and the side toolbar contains following tools
- cursor for selecting shapes
- zoom for drag and zoom shapes in mask editor
- rectangle for creating it
- ellipse for creating it
- polygon for creating it using points
- shape fill color
- question mask color (currently only single color can be added for all shapes)
* add maskeditor page for editing mask
- add side toolbar and sidebar include toptoolbar
- load maskeditor in two mode
- for adding note using path to image
- for editing note using note id
* implement note editor page for adding notes
- the note editor page have simple button (B/I/U) and option to toggle html view
- option to select deck for adding notes into that deck
- option to generate to hide all, guess one & hide one, guess one notes
* add image occlusion page
add side toolbar, top toolbar, mask editor and note editor
- option to switch between mask editor and note editor
* implement generates notes and save notes
implemention to show toast components for messages
* removed pickr & implemented color picker component
- remove pickr
- implemented using html5 canvas
- range input for changing color
- another range input for opacity changes
- hex and rgba value support
* rename methods name & rust unwrap safety
- change plural names to singular
- create respone message in proto and return response with imagecloze note or error if not found with note id
- remove image_occlusion from post handler list
- rename service name in mediasrv.py
- rename methods name for image occlusion in backend and image_occlusion
- update frontend also for update functions' names
- handle error in frontend mask-editor.ts, when error getting notes then toast message shown to frontend
* extract to function & add comments & remove global
- extract function in mask-editor.ts to reduce duplicate
- remove unused global from css
- add comments to store.ts explaining usage
- changes id to noteId in lib.ts
- add comments for limitSize, becuase of duplicate implementation
* remove image_occlusion notetype
- remove from stock notetype, stdmodels
- add implementation for notetype to image occlusion
- add i18n for errors
* update smooth scroll, always show cursor tools
- change questionmask to qmask
- make selectable for shape true in all tools to simplify edits and draw shapes
- update image occlusion in reviewer ts to load image properly
* add and get notetype else return errors
* fix: not showing occlusion
* Use a oneof for ImageClozeNoteResponse
Makes it clearer that only one of them can be returned
* Don't crash if image filename not provided
The second unwrap should be ok, as the input is utf8
* Refactor get_image_cloze_note
- fixes crash when note doesn't exist - Ok(None) case was not covered
- decouples business logic from native error->proto error conversion
- no need for original copy
- field[x] is more idiomatic than field.get(x).unwrap()
- don't need mutable access to fields
* Fix crash if image file unreadable
+ Use our read_file helper for better error context
* Add metadata() helper
* Fix crash if file metadata can't be read
* remove color picker, qmask and shape color
- remove strings from ftl
- remove color picker component
- remove from cloze generation
- remove icons for two buttons
- use constant color for shapes
* update color in reviewer and ftl strings
* fix shape position in canvas & add border to shape
- rename mask to inactive shape and active shape color
- border witdth and border color
- change decimal point deserializing string and toFixed(2)
- add thin border in mask editor, may be image background was transparent
* fix shape position in canvas after modified
- do not draw fixed ratio shapes by turn of uniformScaling
- fix rectangle width,height
- fix ellipse rx,ry,width,height
- fix polygon postion and points
- draw outside of canvas also
* fix border width and color in reviewer canvas
- rename variable
* refactor cloze div generate and remove angle
* fix origin when drawn outside of canvas from right
* fix shape at boundry & not include rx,ry rectangle
- move shapes at boundry when pointer is outside of canvas
- include rx, ry for ellipse only
- include points for polygon only
* fix lint errors & update image size in editor canvas based on height and width
* remove unsupported layerX & layerX for touchscreen
- fix shapes at edges
* implemented undo redo with canvas state
- implemented undo redo using fabric canvas events
- polygon is special case and implemented only added and modified event
- rectangle and ellipse have object:added, object:modified and object:removed case
- change id to undo and redo
* remove background image from canvas and used css to put image tag below canvas editor
- set image width and height after adding image
* fix for polygon points, add br in cloze strings, & toogle masks button
- fix shapes at edges
- toggle masks button to show/hide masks
- hide clozes string, it contains <br>
- set height for div container (used 'relative' in css)
* refactor top toolbar, add space and border radius
- rename cursor tools
- add left and right border
* fix undo after undo happen, use transparent color in draw mode
* Relax chrono specification for AnkiDroid
https://github.com/ankidroid/Anki-Android-Backend/pull/251
* Add AnkiDroid service and AnkiDroid customizations
Most of the work here was done by David in the Backend repo; integrating
it into this repo for ease of future maintenance.
Based on 5d9f262f4c
with some tweaks:
- Protobuf imports have been fixed to match the recent refactor
- FatalError has been renamed to AnkidroidPanicError
- Tweaks to the desktop code to deal with the extra arg to open_collection,
and exclude AnkiDroid service methods from our Python code.
* Refactor AnkiDroid's DB code to avoid uses of unsafe
* Facilitate updating of hooks
- Add instructions in contributing.md
- Change addon_config_editor_will_update_json hook to work with the new
hookslib code
* Fix typo in docs
* Always run replaced hook
* Use lowercase list for typing
* Forbid defining both a replaced and a legacy hook
(for upgrading users, please see the notes at the bottom)
Bazel brought a lot of nice things to the table, such as rebuilds based on
content changes instead of modification times, caching of build products,
detection of incorrect build rules via a sandbox, and so on. Rewriting the build
in Bazel was also an opportunity to improve on the Makefile-based build we had
prior, which was pretty poor: most dependencies were external or not pinned, and
the build graph was poorly defined and mostly serialized. It was not uncommon
for fresh checkouts to fail due to floating dependencies, or for things to break
when trying to switch to an older commit.
For day-to-day development, I think Bazel served us reasonably well - we could
generally switch between branches while being confident that builds would be
correct and reasonably fast, and not require full rebuilds (except on Windows,
where the lack of a sandbox and the TS rules would cause build breakages when TS
files were renamed/removed).
Bazel achieves that reliability by defining rules for each programming language
that define how source files should be turned into outputs. For the rules to
work with Bazel's sandboxing approach, they often have to reimplement or
partially bypass the standard tools that each programming language provides. The
Rust rules call Rust's compiler directly for example, instead of using Cargo,
and the Python rules extract each PyPi package into a separate folder that gets
added to sys.path.
These separate language rules allow proper declaration of inputs and outputs,
and offer some advantages such as caching of build products and fine-grained
dependency installation. But they also bring some downsides:
- The rules don't always support use-cases/platforms that the standard language
tools do, meaning they need to be patched to be used. I've had to contribute a
number of patches to the Rust, Python and JS rules to unblock various issues.
- The dependencies we use with each language sometimes make assumptions that do
not hold in Bazel, meaning they either need to be pinned or patched, or the
language rules need to be adjusted to accommodate them.
I was hopeful that after the initial setup work, things would be relatively
smooth-sailing. Unfortunately, that has not proved to be the case. Things
frequently broke when dependencies or the language rules were updated, and I
began to get frustrated at the amount of Anki development time I was instead
spending on build system upkeep. It's now about 2 years since switching to
Bazel, and I think it's time to cut losses, and switch to something else that's
a better fit.
The new build system is based on a small build tool called Ninja, and some
custom Rust code in build/. This means that to build Anki, Bazel is no longer
required, but Ninja and Rust need to be installed on your system. Python and
Node toolchains are automatically downloaded like in Bazel.
This new build system should result in faster builds in some cases:
- Because we're using cargo to build now, Rust builds are able to take advantage
of pipelining and incremental debug builds, which we didn't have with Bazel.
It's also easier to override the default linker on Linux/macOS, which can
further improve speeds.
- External Rust crates are now built with opt=1, which improves performance
of debug builds.
- Esbuild is now used to transpile TypeScript, instead of invoking the TypeScript
compiler. This results in faster builds, by deferring typechecking to test/check
time, and by allowing more work to happen in parallel.
As an example of the differences, when testing with the mold linker on Linux,
adding a new message to tags.proto (which triggers a recompile of the bulk of
the Rust and TypeScript code) results in a compile that goes from about 22s on
Bazel to about 7s in the new system. With the standard linker, it's about 9s.
Some other changes of note:
- Our Rust workspace now uses cargo-hakari to ensure all packages agree on
available features, preventing unnecessary rebuilds.
- pylib/anki is now a PEP420 implicit namespace, avoiding the need to merge
source files and generated files into a single folder for running. By telling
VSCode about the extra search path, code completion now works with generated
files without needing to symlink them into the source folder.
- qt/aqt can't use PEP420 as it's difficult to get rid of aqt/__init__.py.
Instead, the generated files are now placed in a separate _aqt package that's
added to the path.
- ts/lib is now exposed as @tslib, so the source code and generated code can be
provided under the same namespace without a merging step.
- MyPy and PyLint are now invoked once for the entire codebase.
- dprint will be used to format TypeScript/json files in the future instead of
the slower prettier (currently turned off to avoid causing conflicts). It can
automatically defer to prettier when formatting Svelte files.
- svelte-check is now used for typechecking our Svelte code, which revealed a
few typing issues that went undetected with the old system.
- The Jest unit tests now work on Windows as well.
If you're upgrading from Bazel, updated usage instructions are in docs/development.md and docs/build.md. A summary of the changes:
- please remove node_modules and .bazel
- install rustup (https://rustup.rs/)
- install rsync if not already installed (on windows, use pacman - see docs/windows.md)
- install Ninja (unzip from https://github.com/ninja-build/ninja/releases/tag/v1.11.1 and
place on your path, or from your distro/homebrew if it's 1.10+)
- update .vscode/settings.json from .vscode.dist
The old `media_files_did_export` hook has been kept around for use with
the legacy apkg exporter (an add-on uses it), and a new
`legacy_export_progress` hook has been added so we can get progress
from the new colpkg exporter until we move over fully to the new code.
The _pb2 files are built for both the host and target architectures
(which seems superfluous - we may be able to fix that in the future).
Our script wrote the files into the build folder and then moved them
into the correct place, but because builds are not sandboxed on Windows,
the two actions were racy, and could cause each other to fail. Solved
by writing the files directly into their target locations.
* The importer list have a Hook
Previously, add-on 175027074 simply edited the list once. It became impossible
since the list became a function. Hence I need a filter to add the list here.
@kelciour (nice to meet you by the way), you may be interested by it too (at
least if I believe efb1ce46d4 )
I would have preferred to use `anki.importing.base.Importer` instead of
`Any`. However, this leads to
> Name "anki.importing.base.Importer" is not defined [name-defined]
when I run test.
Helps to solve this would be welcomed
* mention the hook may not last too long (dae)
* Add py3.9 to hooks
This follows examples from efb1ce46d4 I assume the
hooks were missed because those were not considered types but strings.
I did not even try to run pyupgrade and did the change manually, then used bazel format
* remove wildcard import in find.py, and change Any to object (dae)
It's a tiny library that has not been updated in years, and it was
leading to a warning on startup:
DeprecationWarning: invalid escape sequence \W
return re.sub("\W+", "", string)
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.
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.
- 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.
- 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
