* CHANGE collection size too large error to add MB values and info about compressed vs. uncompressed
* Round f64 to 2 decimals
* Remove line breaks from ftl/core
* Remove string 'uncompressed' from code
* Add string 'uncompressed' to ftl/core
* Remove if statement change introduced to test changes locally
* Run ./check
* 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
Currently we only check the size on a one-way sync, allowing users
to bypass the limits by incrementally syncing a lot of material.
To prevent this:
- The server now checks if the collection is already oversize,
and forces a one-way sync if it is
- The client checks if the local collection is oversize and refuses
to proceed, so they don't waste time uploading material that will
likely trigger the limit the next time they sync.
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>
* Refactor media sync handling
- The media USN is now returned in sync/meta, which avoids an extra
round-trip.
- Media syncing is now automatically started by the syncing code at
the end of a normal or full sync, which avoids it competing for bandwidth
and resources, and avoids duplicate invalid login messages when the auth
token is invalid.
- Added a new media_sync_progress() method to both check if media is
syncing, and get access to the latest progress.
- Updated the sync log screen to only show the latest line, like AnkiMobile.
- Show media sync errors in a pop-up, so they don't get missed. Use a non-modal
pop-up to avoid potential conflicts with other modals.
* Remove print statement
* Accept iterables as inputs to backend methods
* Shift add-on check to backend; use new endpoint
The new endpoint will return info on a suitable branch if found,
instead of returning all branches. This simplifies the frontend code,
and means that you can now drop support for certain versions without
it also remotely disabling the add-on for people who are running one of
the excluded versions, like in
https://forums.ankiweb.net/t/prevent-add-ons-from-being-disabled-remote-stealthily-surreptitiously/33427
* Bump version to 23.09
This changes Anki's version numbering system to year.month.patch, as
previously mentioned on https://forums.ankiweb.net/t/use-a-different-versioning-system-semver-perhaps/20046/5
This is shaping up to be a big release, with the introduction of FSRS and
image occlusion, and it seems like a good time to be finally updating the
version scheme as well. AnkiWeb has been updated to understand the new
format, and add-on authors will now specify version compatibility using
the full version number, as can be seen here:
https://ankiweb.net/shared/info/3918629684
* Shift update check to backend, and tidy up update.py
* Use the shared client for sync connections too
Previously it was Backend's responsibility to store the last progress,
and when calling routines in Collection, one had to construct and pass
in a Fn, which wasn't the most ergonomic. This PR adds the last progress
state to the collection, so that the routines no longer need a separate
progress arg, and makes some other tweaks to improve ergonomics.
ThrottlingProgressHandler has been tweaked so that it now stores the
current state, so that callers don't need to store it separately. When
a long-running routine starts, it calls col.new_progress_handler(),
which automatically initializes the data to defaults, and updates the
shared UI state, so we no longer need to manually update the state at
the start of an operation.
The backend shares the Arc<Mutex<>> with the collection, so it can get
at the current state, and so we can update the state when importing a
backup.
Other tweaks:
- The current Incrementor was awkward to use in the media check, which
uses a single incrementing value across multiple method calls, so I've
added a simpler alternative for such cases. The old incrementor method
has been kept, but implemented directly on ThrottlingProgressHandler.
- The full sync code was passing the progress handler in a complicated
way that may once have been required, but no longer is.
- On the Qt side, timers are now stopped before deletion, or they keep
running for a few seconds.
- I left the ChangeTracker using a closure, as it's used for both importing
and syncing.
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.
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.
