Tizian 「ティツィアーン」
6541af937a
What applies of Japanese's features to Chinese, Korean, Greek, German and English, with the developer's choices and each decision's reason: Unihan's characters, KRDict's words and levels, Make Me a Hanzi's and the curator's own strokes, typed pinyin, radicals and readings by language; what doesn't apply or has no open data. AGENTS.md, the server's README and the instance's example environment follow. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
52 lines
2.4 KiB
Markdown
52 lines
2.4 KiB
Markdown
# halkyon_learn_server
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This is the starting point for your Serverpod server.
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Start your server by running:
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cd halkyon_learn
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serverpod start
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When you are finished, you can shut down the running server with `Q`.
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## Dictionaries
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The dictionaries people look words up in (JMdict, …) are reference data the
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server holds for everyone. They come as dictionary files, which
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`halkyon_learn_curator` makes from the sources' downloads (its README says how).
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At every start, and every hour at seven past, the server loads the files in
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its `dictionaries` folder that changed since they were last loaded (by their
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SHA-256): in the background, a source at a time, and all at once, so searches
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meanwhile still find the old entries. A file it can't read is logged and left
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out. A dictionary whose file is gone is unloaded, once every file in the folder
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could be read (the curator removes the files of languages an instance no longer
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keeps). `DICTIONARIES_DIR` names another folder.
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EDRDG's licence asks a server showing its dictionaries to update them at least
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once a month:
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- **An instance** keeps them current by itself: the `dictionaries` service in
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`deploy/compose.yaml` (the curator, in a container of its own) downloads
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EDRDG's files of the day once its files are a week old, converts them, and
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replaces them in a volume the server reads (`curate update`, the curator's
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README); the server takes them up within the hour. To supply files yourself
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instead, remove the service and mount `deploy/dictionaries/` into the server
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(`compose.yaml` says how), and update them monthly.
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- **Development:** `dart run halkyon_learn_curator:curate update --into
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../halkyon_learn_server/dictionaries` in the curator's folder (about a
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minute); the server takes them up within the hour.
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JMdict in English, with the JLPT levels and Tatoeba's example sentences, is
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about 20 MB gzipped and takes the server half a minute to load (219,000
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entries). KANJIDIC2 in English, with the JLPT levels of the kanji and the kana,
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is a dictionary of characters beside it (`kanjidic-en.jsonl.gz`, 0.7 MB,
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12,800 entries): the app's Kanji & kana tab. Their licences (CC BY-SA 4.0;
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CC BY 2.0 FR for the sentences; CC BY for the JLPT lists) ask for attribution:
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the app lists the credits each file carries.
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## Licence
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Copyright (C) 2026 The Halkyon Learn contributors
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Licensed under the Server Side Public License, version 1 (`SSPL-1.0`); the full text
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is in `LICENSE`.
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