Animelon's way of learning from video, from the person's own Jellyfin
server: connected per device (Settings, or a studyset's Add material ›
Watch from Jellyfin) with a name and password or a Quick Connect code,
over HTTPS only (plain HTTP only to a server on the same machine); the
token stays in the system's keyring. Shows, films and videos tied to a
studyset follow the person in their settings as the server's and the
item's ids alone (settings schema 9), named by the server when shown.
The Watch screen plays the video (video_player on Android, media_kit's
libmpv on Linux and Windows) with the line in the studyset's front
language cut into the dictionary's words with furigana, and the back
language's line beneath; a word tapped pauses the video and becomes a
card with the line and its translation as its first hint, tagged with
the show. The video's words are listed, most frequent first. The sound is
the track in the studyset's language, whichever the file marks default,
and the menu switches it; the subtitles read are a whole track, never a
forced one (which only covers what the sound doesn't say), and captions
for the hard of hearing only without plain ones. The line and its
translation take the video's width in a box of a fixed height, so the
video keeps its size; in the dark theme the video's colours glow around
it, as YouTube's ambient mode, and the words' panel takes the colour of
the episode's picture under the pointer.
A line is cut into words with one request: DictionaryEndpoint.withKeys
looks up every stretch of it that may be a word, as it stands and as
every word it may be a conjugation of, in the new dictionary_key table
(one row per key, indexed; migration dictionary-keys adds the table and
its index, nothing else), which the loader fills beside the entries.
The instance gets the text of each line looked up and keeps none of it,
as the Watch screen says.
Linux builds need libmpv-dev, and the app links libmpv: the snap stages
Ubuntu's libmpv2, makes the update-alternatives links for BLAS and LAPACK
that ffmpeg's speech recognition needs (staging never runs install
scripts), and removes what the GNOME runtime and core24 already hold, as
older copies of cairo, pango and librsvg hid the runtime's from its GTK.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
The launcher showed Flutter's logo: the project template's icons were
never replaced. tool/app_icons.py now makes every icon from the
kingfisher (assets/icon/halkyon_icon.png), through flutter_launcher_icons
v0.14.4 configured in the app's pubspec: Android's adaptive icon (the
kingfisher inset 16 % on white, for each launcher to cut to its shape)
and the square one before Android 8; iOS's, without transparency;
macOS's, the rounded tile on Apple's grid (824 of 1024 pixels); and
Windows', the rounded tile, its .ico with every size from 16 to 256
pixels (the tool writes only 256). It keeps the iOS project file as it
was, which the tool would break (flutter_launcher_icons issue 634), and
writes the snap's icon as tool/snap_icon.py did, which it replaces.
The Linux runner gives its window the bundled icon too, for desktops
that don't take it from the desktop file.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
Files in content: the person's images and sounds as asset rows synced like
all content, their files kept by hash on each device, uploaded after each
sync, downloaded on demand and checked against their hash
(core/asset/AssetRepository). Rich text names them as asset:<id> URLs, in
the editor's image block and an audio block of ours; any other URL is never
fetched. Sounds play through audioplayers, one at a time. Content holding
only an image or a sound isn't blank, and lists show it as such.
The Anki import ("Import from Anki" under Add material): .apkg and .colpkg
packages in all three formats Anki has written, read on an isolate of their
own. Modern packages compress everything with zstd in frames that don't
record their size, which pure_zstd v1.0.0 refuses; our fork decodes them.
Fields become rich text by a converter of our own (lines, lists, formatting,
images, sounds, cloze deletions hidden on the front). One card per note,
the files first, studysets as chosen (flatten, sub-studysets, or tags by
subdeck), the notes' tags, and, if wanted, the review history, which FSRS
replays: the first template's reviews to the card's schedule, a reversed
note type's second to the reverse one.
Imported cards say where they came from in their first revision (card
schema 3); the dashboard doesn't count them as written. The test fixtures
are exported by Anki itself (tool/anki/make_fixtures.py).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
Deviations from a stock `serverpod create`:
- Dropped Flutter web support, for two reasons:
- Appflowy editor had issues in the past, potentially related to the
Flutter-Web IME bridge. Upstream has also open bugs in relation to
that:
- AppFlowy-IO/appflowy-editor#1029 [Bug][Web] Unwanted space on click
and overall space bugs (open)
- AppFlowy-IO/appflowy-editor#782 [Bug] Editor auto-scrolling when
pressing space too quickly if placed inside a scrollable (open)
- Offline-first is a required feature. serverpod_offline_sync's SQLite
support in browsers, maybe via sqlite3.wasm + OPFS, is not
documented.
- SDK constraints raised to ^3.13.0, instead of ^3.12.2, so enjoy the
newest language features.
- Pinned to Flutter 3.47.4 via FVM.
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
