* Update base images and introduce health endpoint
sync-server: introduce `/health` endpoint to check if the service is reachable.
bump(alpine): bump alpine base image from `3.19` to `3.20`
bump(rust): bump rust-alpine build image from `1.76` to `1.79`
* fix cargo fmt
* add allow clippy::extra_unused_type_parameters
* Remove unused type param (dae)
* Route /health directly (dae)
* Fix for latest axum (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>
* 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.
* Support specifying a working dir to a build command
* Use nightly for formatting
* Pass valid TERM in from environment
Rustfmt depends on a valid setting, and not just the var to be non-empty.
* Wrap comment
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.
The Rust community appear to have converged on tracing - it's used by
the Rust compiler, and receives close to 10x the number of downloads
that slog does. Its API is more ergonomic, and it does a much nicer
job with async rust.
To make this change, we no longer pass around explicit loggers, and rely
on a globally-registered one. The log file location has been changed
from one in each profile folder to a single one in the base folder. This
will remain empty for most users, since only errors are logged by default,
but may be useful for debugging future changes.
* 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.
(for upgrading users, please see the notes at the bottom)
Bazel brought a lot of nice things to the table, such as rebuilds based on
content changes instead of modification times, caching of build products,
detection of incorrect build rules via a sandbox, and so on. Rewriting the build
in Bazel was also an opportunity to improve on the Makefile-based build we had
prior, which was pretty poor: most dependencies were external or not pinned, and
the build graph was poorly defined and mostly serialized. It was not uncommon
for fresh checkouts to fail due to floating dependencies, or for things to break
when trying to switch to an older commit.
For day-to-day development, I think Bazel served us reasonably well - we could
generally switch between branches while being confident that builds would be
correct and reasonably fast, and not require full rebuilds (except on Windows,
where the lack of a sandbox and the TS rules would cause build breakages when TS
files were renamed/removed).
Bazel achieves that reliability by defining rules for each programming language
that define how source files should be turned into outputs. For the rules to
work with Bazel's sandboxing approach, they often have to reimplement or
partially bypass the standard tools that each programming language provides. The
Rust rules call Rust's compiler directly for example, instead of using Cargo,
and the Python rules extract each PyPi package into a separate folder that gets
added to sys.path.
These separate language rules allow proper declaration of inputs and outputs,
and offer some advantages such as caching of build products and fine-grained
dependency installation. But they also bring some downsides:
- The rules don't always support use-cases/platforms that the standard language
tools do, meaning they need to be patched to be used. I've had to contribute a
number of patches to the Rust, Python and JS rules to unblock various issues.
- The dependencies we use with each language sometimes make assumptions that do
not hold in Bazel, meaning they either need to be pinned or patched, or the
language rules need to be adjusted to accommodate them.
I was hopeful that after the initial setup work, things would be relatively
smooth-sailing. Unfortunately, that has not proved to be the case. Things
frequently broke when dependencies or the language rules were updated, and I
began to get frustrated at the amount of Anki development time I was instead
spending on build system upkeep. It's now about 2 years since switching to
Bazel, and I think it's time to cut losses, and switch to something else that's
a better fit.
The new build system is based on a small build tool called Ninja, and some
custom Rust code in build/. This means that to build Anki, Bazel is no longer
required, but Ninja and Rust need to be installed on your system. Python and
Node toolchains are automatically downloaded like in Bazel.
This new build system should result in faster builds in some cases:
- Because we're using cargo to build now, Rust builds are able to take advantage
of pipelining and incremental debug builds, which we didn't have with Bazel.
It's also easier to override the default linker on Linux/macOS, which can
further improve speeds.
- External Rust crates are now built with opt=1, which improves performance
of debug builds.
- Esbuild is now used to transpile TypeScript, instead of invoking the TypeScript
compiler. This results in faster builds, by deferring typechecking to test/check
time, and by allowing more work to happen in parallel.
As an example of the differences, when testing with the mold linker on Linux,
adding a new message to tags.proto (which triggers a recompile of the bulk of
the Rust and TypeScript code) results in a compile that goes from about 22s on
Bazel to about 7s in the new system. With the standard linker, it's about 9s.
Some other changes of note:
- Our Rust workspace now uses cargo-hakari to ensure all packages agree on
available features, preventing unnecessary rebuilds.
- pylib/anki is now a PEP420 implicit namespace, avoiding the need to merge
source files and generated files into a single folder for running. By telling
VSCode about the extra search path, code completion now works with generated
files without needing to symlink them into the source folder.
- qt/aqt can't use PEP420 as it's difficult to get rid of aqt/__init__.py.
Instead, the generated files are now placed in a separate _aqt package that's
added to the path.
- ts/lib is now exposed as @tslib, so the source code and generated code can be
provided under the same namespace without a merging step.
- MyPy and PyLint are now invoked once for the entire codebase.
- dprint will be used to format TypeScript/json files in the future instead of
the slower prettier (currently turned off to avoid causing conflicts). It can
automatically defer to prettier when formatting Svelte files.
- svelte-check is now used for typechecking our Svelte code, which revealed a
few typing issues that went undetected with the old system.
- The Jest unit tests now work on Windows as well.
If you're upgrading from Bazel, updated usage instructions are in docs/development.md and docs/build.md. A summary of the changes:
- please remove node_modules and .bazel
- install rustup (https://rustup.rs/)
- install rsync if not already installed (on windows, use pacman - see docs/windows.md)
- install Ninja (unzip from https://github.com/ninja-build/ninja/releases/tag/v1.11.1 and
place on your path, or from your distro/homebrew if it's 1.10+)
- update .vscode/settings.json from .vscode.dist
* 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>
* Write media files in chunks
* Test media file writing
* Add iter `ReadDirFiles`
* Remove ImportMediaError, fail fatally instead
Partially reverts commit f8ed4d89ba.
* Compare hashes of media files to be restored
* Improve `MediaCopier::copy()`
* Restore media files atomically with tempfile
* Make downgrade flag an enum
* Remove SchemaVersion::Latest in favour of Option
* Remove sha1 comparison again
* Remove unnecessary repr(u8) (dae)
* Add zstd dep
* Implement backend backup with zstd
* Implement backup thinning
* Write backup meta
* Use new file ending anki21b
* Asynchronously backup on collection close in Rust
* Revert "Add zstd dep"
This reverts commit 3fcb2141d2.
* Add zstd again
* Take backup col path from col struct
* Fix formatting
* Implement backup restoring on backend
* Normalize restored media file names
* Refactor `extract_legacy_data()`
A bit cumbersome due to borrowing rules.
* Refactor
* Make thinning calendar-based and gradual
* Consider last kept backups of previous stages
* Import full apkgs and colpkgs with backend
* Expose new backup settings
* Test `BackupThinner` and make it deterministic
* Mark backup_path when closing optional
* Delete leaky timer
* Add progress updates for restoring media
* Write restored collection to tempfile first
* Do collection compression in the background thread
This has us currently storing an uncompressed and compressed copy of
the collection in memory (not ideal), but means the collection can be
closed without waiting for compression to complete. On a large collection,
this takes a close and reopen from about 0.55s to about 0.07s. The old
backup code for comparison: about 0.35s for compression off, about
8.5s for zip compression.
* Use multithreading in zstd compression
On my system, this reduces the compression time of a large collection
from about 0.55s to 0.08s.
* Stream compressed collection data into zip file
* Tweak backup explanation
+ Fix incorrect tab order for ignore accents option
* Decouple restoring backup and full import
In the first case, no profile is opened, unless the new collection
succeeds to load.
In the second case, either the old collection is reloaded or the new one
is loaded.
* Fix number gap in Progress message
* Don't revert backup when media fails but report it
* Tweak error flow
* Remove native BackupLimits enum
* Fix type annotation
* Add thinning test for whole year
* Satisfy linter
* Await async backup to finish
* Move restart disclaimer out of backup tab
Should be visible regardless of the current tab.
* Write restored collection in chunks
* Refactor
* Write media in chunks and refactor
* Log error if removing file fails
* join_backup_task -> await_backup_completion
* Refactor backup.rs
* Refactor backup meta and collection extraction
* Fix wrong error being returned
* Call sync_all() on new collection
* Add ImportError
* Store logger in Backend, instead of creating one on demand
init_backend() accepts a Logger rather than a log file, to allow other
callers to customize the logger if they wish.
In the future we may want to explore using the tracing crate as an
alternative; it's a bit more ergonomic, as a logger doesn't need to be
passed around, and it plays more nicely with async code.
* Sync file contents prior to rename; sync folder after rename.
* Limit backup creation to once per 30 min
* Use zstd::stream::copy_decode
* Make importing abortable
* Don't revert if backup media is aborted
* Set throttle implicitly
* Change force flag to minimum_backup_interval
* Don't attempt to open folders on Windows
* Join last backup thread before starting new one
Also refactor.
* Disable auto sync and backup when restoring again
* Force backup on full download
* Include the reason why a media file import failed, and the file path
- Introduce a FileIoError that contains a string representation of
the underlying I/O error, and an associated path. There are a few
places in the code where we're currently manually including the filename
in a custom error message, and this is a step towards a more consistent
approach (but we may be better served with a more general approach in
the future similar to Anyhow's .context())
- Move the error message into importing.ftl, as it's a bit neater
when error messages live in the same file as the rest of the messages
associated with some functionality.
* Fix importing of media files
* Minor wording tweaks
* Save an allocation
I18n strings with replacements are already strings, so we can skip the
extra allocation. Not that it matters here at all.
* Terminate import if file missing from archive
If a third-party tool is creating invalid archives, the user should know
about it. This should be rare, so I did not attempt to make it
translatable.
* Skip multithreaded compression on small collections
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)
