* Pack FSRS data into card.data
* Update FSRS card data when preset or weights change
+ Show FSRS stats in card stats
* Show a warning when there's a limited review history
* Add some translations; tweak UI
* Fix default requested retention
* Add browser columns, fix calculation of R
* Property searches
eg prop:d>0.1
* Integrate FSRS into reviewer
* Warn about long learning steps
* Hide minimum interval when FSRS is on
* Don't apply interval multiplier to FSRS intervals
* Expose memory state to Python
* Don't set memory state on new cards
* Port Jarret's new tests; add some helpers to make tests more compact
https://github.com/open-spaced-repetition/fsrs-rs/pull/64
* Fix learning cards not being given memory state
* Require update to v3 scheduler
* Don't exclude single learning step when calculating memory state
* Use relearning step when learning steps unavailable
* Update docstring
* fix single_card_revlog_to_items (#2656)
* not need check the review_kind for unique_dates
* add email address to CONTRIBUTORS
* fix last first learn & keep early review
* cargo fmt
* cargo clippy --fix
* Add Jarrett to about screen
* Fix fsrs_memory_state being initialized to default in get_card()
* Set initial memory state on graduate
* Update to latest FSRS
* Fix experiment.log being empty
* Fix broken colpkg imports
Introduced by "Update FSRS card data when preset or weights change"
* Update memory state during (re)learning; use FSRS for graduating intervals
* Reset memory state when cards are manually rescheduled as new
* Add difficulty graph; hide eases when FSRS enabled
* Add retrievability graph
* Derive memory_state from revlog when it's missing and shouldn't be
---------
Co-authored-by: Jarrett Ye <jarrett.ye@outlook.com>
* Support searching for deck configs by name
* Integrate FSRS optimizer into Anki
* Hack in a rough implementation of evaluate_weights()
* Interrupt calculation if user closes dialog
* Fix interrupted error check
* log_loss/rmse
* Update to latest fsrs commit; add progress info to weight evaluation
* Fix progress not appearing when pretrain takes a while
* Update to latest commit
The approach in #2542 unfortunately introduced a regression, as whilst
it ensured that duplicate keys are removed when downgrading, it no longer
prevented the duplicates from being removed when converting to a legacy
Schema11 object. This resulted in things like backend.get_notetype_legacy()
returning duplicate keys, and could break syncing:
https://forums.ankiweb.net/t/windows-desktop-sync-error/33128
As syncing and schema11 object usage is quite common compared to downgrading,
the extra Value deserialization seemed a bit expensive, so I've switched
back to explicitly removing the problem keys. To ensure we don't forget to
add new keys in the future, I've added some new tests that should alert us
whenever a newly-added key is missing from the reserved list.
Also fix minilints declaring a stamp it wasn't creating. The same
approach is necessary with archives now too, as it no longer executes
under a standard "runner run".
For now, rustls is hard-coded - we could pass the desired TLS impl in
from the ./ninja script, but the runner is not recompiled frequently
anyway.
Workspace deps were introduced in Rust 1.64. They don't cover all the
cases that Hakari did unfortunately, but they are simpler to maintain,
and they avoid a couple of issues that Hakari had:
- It sometimes made updating dependencies harder due to the locked versions,
so you had to disable Hakari, do the updates, and then re-generate (
e.g. 943dddf28f)
- The current Hakari config was breaking AnkiDroid's build, as it was
stopping a cross-compile from functioning correctly.
- Dropped the protobuf extensions in favor of explicitly listing out
methods in both services if we want to implement both, as it's clearer.
- Move Service/Method wrappers into a separate crate that the various
clients can import, to easily get at the list of backend services and
their correct indices and comments.
I'd been thinking it might be useful for a future API service, but
I think that's better implemented with more codegen, so we have a
statically-typed interface.
* Automatically elide empty inputs and outputs to backend methods
* Refactor service generation
Despite the fact that the majority of our Protobuf service methods require
an open collection, they were not accessible with just a Collection
object. To access the methods (e.g. because we haven't gotten around to
exposing the correct API in Collection yet), you had to wrap the collection
in a Backend object, and pay a mutex-acquisition cost for each call, even
if you have exclusive access to the object.
This commit migrates the majority of service methods to the Collection, so
they can now be used directly, and improves the ergonomics a bit at the
same time.
The approach taken:
- The service generation now happens in rslib instead of anki_proto, which
avoids the need for trait constraints and associated types.
- Service methods are assumed to be collection-based by default. Instead of
implementing the service on Backend, we now implement it on Collection, which
means our methods no longer need to use self.with_col(...).
- We automatically generate methods in Backend which use self.with_col() to
delegate to the Collection method.
- For methods that are only appropriate for the backend, we add a flag in
the .proto file. The codegen uses this flag to write the method into a
BackendFooService instead of FooService, which the backend implements.
- The flag can also allows us to define separate implementations for collection
and backend, so we can e.g. skip the collection mutex in the i18n service
while also providing the service on a collection.
This is of limited usefulness at the moment, as it doesn't help consumers
of the public API.
Also removed detached comments from the included comments.
Provides better visibility into what the build is currently doing.
Motivated by slow node.js downloads making the build appear stuck.
You can test this out by running ./tools/install-n2 then building
normally. Please report any problems, and 'cargo uninstall n2' to get
back to the old behaviour. It works on Windows, but prints a new line
each second instead of redrawing the same area.
A couple of changes were required for compatibility:
- n2 doesn't resolve $variable names inside other variables, so the
resolution needs to be done by our build generator.
- Our inputs and outputs in build.ninja need to be listed in a deterministic
order to avoid unwanted rebuilds. I've made a few other tweaks so the
build file should now be fully-deterministic.
* 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.
Will be handy to use it in our other scripts in the future too - thanks
Rumo!
Results of benchmarking ./run before and after these crate splits:
- Touching a proto file leads to a slight increase: about +90ms
- Touching an rslib file leads to a bigger decrease, as there's less to
recompile: about -700ms
And ./ninja test is even better: about +200ms and -3800ms.
Due to the orphan rule, this meant removing our usages of impl ProtoStruct,
or converting them to a trait when they were used commonly.
rslib now directly references anki_proto and anki_i18n, instead of
'pub use'-ing them, and we can put the generated files back in OUT_DIR.
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.
* Migrate check_copyright to Rust
* Add a new lint to check accidental usages of /// in ts/svelte comments
* Fix a bunch of incorrect jdoc comments
* Move contributor check into minilints
Will allow users to detect the issue locally with './ninja check'
before pushing to CI.
* Make Cargo.toml consistent with other crates
