* Fix/re-optimize FSRS if short-term param is weird
* Reset progress when another run is required (dae)
* only count the same-day steps
* Fix flicker when optimizing again (dae)
* Feat/support new cards ignore review limit in simulator
* ./ninja fix:minilints & ./ninja format
* use published crate
* make newCardsIgnoreReviewLimit reactive
* format
---------
Co-authored-by: Damien Elmes <gpg@ankiweb.net>
* Feat/export dataset for research
* add comment
Co-authored-by: Damien Elmes <dae@users.noreply.github.com>
* target_path is required
* format
* improve efficiency to look up parent_id
* move `use` down
* Feat/FSRS-5
* adapt the SimulatorConfig of FSRS-5
* update parameters from FSRS-4.5
* udpate to FSRS-rs v1.1.0
* ./ninja fix:minilints
* pass ci
* update cargo-deny to 0.14.24
* udpate to FSRS-rs v1.1.1
* update to fsrs-rs v1.1.2
* update fsrs to 0.4.5
* update to fsrs 0.4.6
* add benchmark API
* update fsrs to 0.5.0
* cargo fmt
* ./ninja fix:minilints
* ./ninja format
* Add a brief comment about the new method (dae)
* 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
* Implement import log screen in Svelte
* Show filename in import log screen title
* Remove unused NoteRow property
* Show number of imported notes
* Use a single nid expression
* Use 'count' as variable name for consistency
* Import from @tslib/backend instead
* Fix summary_template typing
* Fix clippy warning
* Apply suggestions from code review
* Fix imports
* Contents -> Fields
* Increase max length of browser search bar
https://github.com/ankitects/anki/pull/2568/files#r1255227035
* Fix race condition in Bootstrap tooltip destruction
https://github.com/twbs/bootstrap/issues/37474
* summary_template -> summaryTemplate
* Make show link a button
* Run import ops on Svelte side
* Fix geometry not being restored in CSV Import page
* Make VirtualTable fill available height
* Keep CSV dialog modal
* Reword importing-existing-notes-skipped
* Avoid mentioning matching based on first field
* Change tick and cross icons
* List skipped notes last
* Pure CSS spinner
* Move set_wants_abort() call to relevant dialogs
* Show number of imported cards
* Remove bold from first sentence and indent summaries
* Update UI after import operations
* Add close button to import log page
Also make virtual table react to resize event.
* Fix typing
* Make CSV dialog non-modal again
Otherwise user can't interact with browser window.
* Update window modality after import
* Commit DB and update undo actions after import op
* Split frontend proto into separate file, so backend can ignore it
Currently the automatically-generated frontend RPC methods get placed in
'backend.js' with all the backend methods; we could optionally split them
into a separate 'frontend.js' file in the future.
* Migrate import_done from a bridgecmd to a HTTP request
* Update plural form of importing-notes-added
* Move import response handling to mediasrv
* Move task callback to script section
* Avoid unnecessary :global()
* .log cannot be missing if result exists
* Move import log search handling to mediasrv
* Type common params of ImportLogDialog
* Use else if
* Remove console.log()
* Add way to test apkg imports in new log screen
* Remove unused import
* Get actual card count for CSV imports
* Use import type
* Fix typing error
* Ignore import log when checking for changes in Python layer
* Apply suggestions from code review
* Remove imported card count for now
* Avoid non-null assertion in assignment
* Change showInBrowser to take an array of notes
* Use dataclasses for import log args
* Simplify ResultWithChanges in TS
* Only abort import when window is modal
* Fix ResultWithChanges typing
* Fix Rust warnings
* Only log one duplicate per incoming note
* Update wording about note updates
* Remove caveat about found_notes
* Reduce font size
* Remove redundant map
* Give credit to loading.io
* Remove unused line
---------
Co-authored-by: RumovZ <gp5glkw78@relay.firefox.com>
* 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.
