| Filename | Latest commit message | Latest commit date |
|---|---|---|
- Melos 8.9 as the root's dev dependency, with scripts across the workspace (analyze, test:dart, test:flutter, generate, check) and its filters (--diff, --include-dependents); cli_util overridden to 0.5.2 for it, since Learn's flutter_launcher_icons asks for 0.4 and uses only its logger, unchanged in 0.5. - tool/check.dart in place of tool/check.sh: packages, formatting of our own files, analysis, the tools' tests, then every package's tests through Melos (--changed-since=<commit> for only what changed and what depends on it). tool/pre-push is the hook: the signature check, then the checks. CI generates every server's code and runs the same check. - The images build from the root with a workspace narrowed to what they need (tool/workspace_only.sh); compose, the deploy's migration test, the snap, the release script, the editor's launch files and Learn's asset tools (run from apps/learn) follow the new layout. - The project's source is named as project-halkyon/halkyon (source link, snap, F-Droid listing, release uploads); the AGPL packages carry the licence's own text. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me> |
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| .. | ||
| bin | ||
| config | ||
| data | ||
| dictionaries | ||
| lib | ||
| migrations | ||
| test | ||
| .gitignore | ||
| analysis_options.yaml | ||
| CHANGELOG.md | ||
| dart_test.yaml | ||
| Dockerfile | ||
| LICENSE | ||
| pubspec.yaml | ||
| README.md | ||
halkyon_learn_server
This is the starting point for your Serverpod server.
Start your server by running:
cd halkyon_learn
serverpod start
When you are finished, you can shut down the running server with Q.
Dictionaries
The dictionaries people look words up in (JMdict, …) are reference data the
server holds for everyone. They come as dictionary files, which
halkyon_learn_curator makes from the sources' downloads (its README says how).
At every start, and every hour at seven past, the server loads the files in
its dictionaries folder that changed since they were last loaded (by their
SHA-256): in the background, a source at a time, and all at once, so searches
meanwhile still find the old entries. A file it can't read is logged and left
out. A dictionary whose file is gone is unloaded, once every file in the folder
could be read (the curator removes the files of languages an instance no longer
keeps). DICTIONARIES_DIR names another folder.
EDRDG's licence asks a server showing its dictionaries to update them at least once a month:
- An instance keeps them current by itself: the
dictionariesservice indeploy/compose.yaml(the curator, in a container of its own) downloads EDRDG's files of the day once its files are a week old, converts them, and replaces them in a volume the server reads (curate update, the curator's README); the server takes them up within the hour. To supply files yourself instead, remove the service and mountdeploy/dictionaries/into the server (compose.yamlsays how), and update them monthly. - Development:
dart run halkyon_learn_curator:curate update --into ../halkyon_learn_server/dictionariesin the curator's folder (about a minute); the server takes them up within the hour.
JMdict in English, with the JLPT levels and Tatoeba's example sentences, is
about 20 MB gzipped and takes the server half a minute to load (219,000
entries). KANJIDIC2 in English, with the JLPT levels of the kanji and the kana,
is a dictionary of characters beside it (kanjidic-en.jsonl.gz, 0.7 MB,
12,800 entries): the app's Kanji & kana tab. Their licences (CC BY-SA 4.0;
CC BY 2.0 FR for the sentences; CC BY for the JLPT lists) ask for attribution:
the app lists the credits each file carries.
Licence
Copyright (C) 2026 The Halkyon Learn contributors
Licensed under the Server Side Public License, version 1 (SSPL-1.0); the full text
is in LICENSE.