| Filename | Latest commit message | Latest commit date |
|---|---|---|
Tizian 「ティツィアーン」
24ed63585e
A grant now says only which assistant a person may use, and keeps their agreement; the limits are the person's (assistant_budget): one per UTC day and month in money and in tokens, each optional, money counting the assistants with prices, tokens every one (Halkyon Learn's ADR 0021, D58, D59). assistantOperator.grant gives several people several assistants with one budget, change sets one person's exactly, revoke takes back everything; grantees and granteesOf list people with their assistants, budget and use, 50 at a time. The migration carries each person's grant limits into a budget: per unit, their sum, a grant without a limit making it none. assistants.env gives each assistant a default and a highest effort (_EFFORT, _MAX_EFFORT; refused at start where the provider takes none); ask takes one within that range, refusing another (invalidEffort), and caps the output at its ceiling (D63). instanceOperator.waiting and accounts come 50 at a time from an offset, and counts gives the rows of the operator's screen (D62). BREAKING CHANGE: the offer, the grants and the operator's lists changed shape; Learn's server now asks for build 25. 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.