* Fix Cards with Missing Last Review Time During Database Check
* clippy
* Apply suggestions from code review
Co-authored-by: Luc Mcgrady <lucmcgrady@gmail.com>
* Apply suggestions from code review
Co-authored-by: user1823 <92206575+user1823@users.noreply.github.com>
* Add is_reset method to RevlogEntry and update scheduling logic
This commit introduces the `is_reset` method to the `RevlogEntry` struct, which identifies entries representing reset operations. Additionally, the scheduling logic in `memory_state.rs` and `params.rs` has been updated to utilize this new method, ensuring that reset entries are handled correctly during review scheduling.
* Implement is_cramming method in RevlogEntry and update scheduling logic
This commit adds the `is_cramming` method to the `RevlogEntry` struct, which identifies entries representing cramming operations. The scheduling logic in `params.rs` has been updated to utilize this new method, improving the clarity and maintainability of the code.
* Refactor rating logic in RevlogEntry and update related scheduling functions
This commit introduces a new `has_rating` method in the `RevlogEntry` struct to encapsulate the logic for checking if an entry has a rating. The scheduling logic in `params.rs` and the calculation of normal answer counts in `card.rs` have been updated to use this new method, enhancing code clarity and maintainability.
* update revlog test helper function to assign button_chosen correctly
* Refactor card property fixing logic to use CardFixStats struct
* Add one-way sync trigger for last review time updates in dbcheck
* Update documentation for is_reset method in RevlogEntry to clarify ease_factor condition
* Apply suggestions from code review
Co-authored-by: user1823 <92206575+user1823@users.noreply.github.com>
* Minor wording tweak
---------
Co-authored-by: Luc Mcgrady <lucmcgrady@gmail.com>
Co-authored-by: user1823 <92206575+user1823@users.noreply.github.com>
* Feat/use current_retrievability_seconds in SQL
* replace `days_since_last_review` with `seconds_since_last_review`
* Update is_due_in_days logic to include original or current due date check
* 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
* improve the accuracy of the expected workload calculation
* ./ninja fix:minilints
* implement smoothing & a separate struct for return value
* set TERMINATION_PROB to 0.001
* 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
* Match calc of relative overdueness in SM2 and FSRS
* Fix calculation of FSRS relative overdueness
* Improve readability by avoiding double negative
* Move comment line
* 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
* start of load balancer
* add configuration options; option to load balance per deck
* formatting
* clippy
* add myself to contributors
* cleanup
* cargo fmt
* copyright header on load_balancer.rs
* remove extra space
* more formatting
* python formatting
* ignore this being None
only doing this cause python has awful lambdas and can't
loop in a meaningful way without doing this
* only calculate notes on each day if we are trying to avoid siblings
* don't fuzz intervals if the load balancer is enabled
* force generator to eval so this actually happens
* load balance instead of fuzzing, rather than in addition to
* use builtin fuzz_bounds rather than reinvent something new
* print some debug info on how its load balancing
* clippy
* more accurately load balance only when we want to fuzz
* incorrectly doublechecking the presence of the load balancer
* more printfs for debugging
* avoid siblings -> disperse siblings
* load balance learning graduating intervals
* load balancer: respect min/max intervals; graduating easy should be at least +1 good
* filter out after-days under minimum interval
* this is an inclusive check
* switch load balancer to caching instead of on the fly calculation
* handle case where load balancer would balance outside of its bounds
* disable lb when unselecting it in preferences
* call load_balancer in StateContext::with_review_fuzz instead of next to
* rebuild load balancer when card queue is rebuilt
* remove now-unused configuration options
* add note option to notetype to enable/disable sibling dispersion
* add options to exclude decks from load balancing
* theres a lint checking that the link actually exists so I guess I'll add the anchor back in later?
* how did I even update this
* move load balancer to cardqueue
* remove per-deck balancing options
* improve determining whether to disperse siblings when load balancing
* don't recalculate notes on days every time
* remove debug code
* remove all configuration; load balancer enabled by default; disperse siblings if bury_reviews is set
* didn't fully remove caring about decks from load balancer sql query
* load balancer should only count cards in the same preset
* fuzz interval if its outside of load balancer's range
* also check minimum when bailing out of load balancer
* cleanup; make tests happy
* experimental weight-based load balance fuzzing
* take into account interval when weighting as it seems to help
* if theres no cards the interval weight is just 1.0
* make load balancer disableable through debug console
* remove debug prints
* typo
* remove debugging print
* explain a bit how load balancer works
* properly balance per preset
* use inclusive range rather than +1
* -1 type cast
* move type hint somewhere less ugly; fix comment typo
* Reuse existing deck list from parent function (dae)
Minor optimisation
- We must use interval, not stability to infer days_elapsed
- We must use original due date in a filtered deck
- Use retrievability in filtered deck sorting, not just regular sorting
* 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)
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>
Likely an add-on or third-party tool created them, and they were breaking
DB queries for a user.
https://sqlite.org/stricttables.html could help us avoid this class of
issue in the future, though we'd need to check what client versions we'd
break with this change, and would need to change the 'sfld is an integer'
hack.
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 CardAdder test helper
* Add option to have new cards ignore the review limit
Also entails a lot of refactoring because the old code was deeply
coupled to the previous behaviour.
* Add global option to ignore review limit
* Refactor decrementation
* Unify testing
* Enforce hierarchical bury modes
Interday learning burying is only allowed if review burying is enabled
and review burying is only allowed if new burying is enabled.
Closes#2352.
* Switch front end to new bury modes
* Wording tweaks (dae)
* Hide interday option if using v2 scheduler (dae)
This PR replaces the existing Python-driven sync server with a new one in Rust.
The new server supports both collection and media syncing, and is compatible
with both the new protocol mentioned below, and older clients. A setting has
been added to the preferences screen to point Anki to a local server, and a
similar setting is likely to come to AnkiMobile soon.
Documentation is available here: <https://docs.ankiweb.net/sync-server.html>
In addition to the new server and refactoring, this PR also makes changes to the
sync protocol. The existing sync protocol places payloads and metadata inside a
multipart POST body, which causes a few headaches:
- Legacy clients build the request in a non-deterministic order, meaning the
entire request needs to be scanned to extract the metadata.
- Reqwest's multipart API directly writes the multipart body, without exposing
the resulting stream to us, making it harder to track the progress of the
transfer. We've been relying on a patched version of reqwest for timeouts,
which is a pain to keep up to date.
To address these issues, the metadata is now sent in a HTTP header, with the
data payload sent directly in the body. Instead of the slower gzip, we now
use zstd. The old timeout handling code has been replaced with a new implementation
that wraps the request and response body streams to track progress, allowing us
to drop the git dependencies for reqwest, hyper-timeout and tokio-io-timeout.
The main other change to the protocol is that one-way syncs no longer need to
downgrade the collection to schema 11 prior to sending.
* 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
* Run cargo +nightly fmt
* Latest prost-build includes clippy workaround
* Tweak Rust protobuf imports
- Avoid use of stringify!(), as JetBrains editors get confused by it
- Stop merging all protobuf symbols into a single namespace
* Remove some unnecessary qualifications
Found via IntelliJ lint
* Migrate some asserts to assert_eq/ne
* Remove mention of node_modules exclusion
This no longer seems to be necessary after migrating away from Bazel,
and excluding it means TS/Svelte files can't be edited properly.
* Add crate snafu
* Replace all inline structs in AnkiError
* Derive Snafu on AnkiError
* Use snafu for card type errors
* Use snafu whatever error for InvalidInput
* Use snafu for NotFoundError and improve message
* Use snafu for FileIoError to attach context
Remove IoError.
Add some context-attaching helpers to replace code returning bare
io::Errors.
* Add more context-attaching io helpers
* Add message, context and backtrace to new snafus
* Utilize error context and backtrace on frontend
* Rename LocalizedError -> BackendError.
* Remove DocumentedError.
* Have all backend exceptions inherit BackendError.
* Rename localized(_description) -> message
* Remove accidentally committed experimental trait
* invalid_input_context -> ok_or_invalid
* ensure_valid_input! -> require!
* Always return `Err` from `invalid_input!`
Instead of a Result to unwrap, the macro accepts a source error now.
* new_tempfile_in_parent -> new_tempfile_in_parent_of
* ok_or_not_found -> or_not_found
* ok_or_invalid -> or_invalid
* Add crate convert_case
* Use unqualified lowercase type name
* Remove uses of snafu::ensure
* Allow public construction of InvalidInputErrors (dae)
Needed to port the AnkiDroid changes.
* Make into_protobuf() public (dae)
Also required for AnkiDroid. Not sure why it worked previously - possible
bug in older Rust version?
* 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>
