* Add `last_review_time` to card data
* cargo clippy
* Calculate days elapsed since last review time in add_extract_fsrs_relative_retrievability
* expose last_review_time to Card in Python
* Fix last_review_time assignment in Card class to use last_review_time_secs
* format
* Update last_review_time assignment to exclude filtered preview state in Card class
* Feat/FSRS-6
* update comment
* add decay to Card
* ./ninja fix:minilints
* pass check
* fix NaN in evaluation
* remove console
* decay should fallback to 0.5 when it's None.
* Update SimulatorModal.svelte
* Update a few comments
* Update FSRS decay defaults to use constants for better maintainability and clarity
* Update rslib/src/storage/card/data.rs
* Empty cards is undoable
If there was a reason for this operation not to be undoable, I can't easily guess it. My main hyposhesis was that the number of deleted card may be too big. But I realized that deleting a deck is undoable and may delete as many note.
As you may know, I realized that only the undoable operations triggered notification in AnkiDroid that we may have to update the UI. And while I just wanted to trigger more notifications, some reviewers thought it would be nicer if the operation were returning a OpChanges. So here it's done. If you would please consider merging it.
I decided to introduce a new string because the closest strings I could find currently are "Empty cards..." and the trailing commas don't seem nice in "undo". And the title, which we may not be able to reuse in all language
* Don't count cards that have already been removed (dae)
If we want to be able to factor the desired retention into a sort based
on relative overdueness, having the values accessible on the card makes
things easier.
* 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>
- 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.
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.
* 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>
* Replace Card.data with .original_position
* Use and update original position in v3
* Show original position in card info
* Revert restoring original position for now
* Fix pb card to/from pylib card
* Try original_position as the last pb field
* minor wording tweaks (dae)
