halkyon/halkyon_learn_server
Repository files (latest commit first)
Filename Latest commit message Latest commit date
Tizian 「ティツィアーン」 dd6c567ad0
feat(studyset): prepare for an exam, with plans, a date and the pace to it
A studyset plans for exams: each plan names what an exam covers, the
topics it takes whole (with their flashcards, learning paths and PDFs)
and the tags whose flashcards it takes from anywhere in the studyset.
The author's plans are published with the studyset (payload schema 7,
`examPlans`); copying a release and taking a newer one point their
topics at the copy's own studysets. Plans are also offered from level
tags: JLPT N5 to N1, HSK 1 to 7-9 and KRDict's levels, each taking the
levels below it, as the exams do.

The person chooses a plan and the exam's day (`exam`), which stays
theirs: the server leaves it out of a release, as a PDF's deadline.
The study plan then shows the days left, how many of the plan's
flashcards were started, its paths' steps done and its PDFs' pages
read, and the pace that gets everything new learnt a week before the
exam (by the exam when two weeks or fewer are left): new flashcards a
day, steps a week, pages a day. Study for the exam studies only what
the plan covers, its new cards at that pace (counted as the day began)
and every review due.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 14:35:36 +02:00
..
bin chore: scaffold the Serverpod 4 build 2026-09-24 15:32:29 +02:00
config feat(assistant): Claude reads studysets through a connector on the instance 2026-10-10 15:11:17 +02:00
data feat(jellyfin): the instance suggests a Jellyfin server, signed in to with a tap 2026-10-14 00:33:50 +02:00
dictionaries feat(server): dictionaries, loaded from files and searched 2026-10-09 18:09:25 +02:00
lib feat(studyset): prepare for an exam, with plans, a date and the pace to it 2026-10-14 14:35:36 +02:00
migrations feat(jellyfin): watch from one's own Jellyfin server and learn the words of its subtitles 2026-10-13 21:21:48 +02:00
test feat(studyset): prepare for an exam, with plans, a date and the pace to it 2026-10-14 14:35:36 +02:00
.gitignore feat(dictionary): the radicals, each listing the kanji written with it 2026-10-10 09:46:46 +02:00
analysis_options.yaml build: Serverpod v4.0.3 2026-09-30 20:38:15 +02:00
CHANGELOG.md chore: scaffold the Serverpod 4 build 2026-09-24 15:32:29 +02:00
dart_test.yaml chore: scaffold the Serverpod 4 build 2026-09-24 15:32:29 +02:00
Dockerfile feat(jellyfin): the instance suggests a Jellyfin server, signed in to with a tap 2026-10-14 00:33:50 +02:00
LICENSE docs: licences and how to contribute 2026-09-30 20:38:16 +02:00
pubspec.yaml fix: Serverpod v4.0.4 and serverpod_offline_sync v0.0.10 2026-10-09 18:09:27 +02:00
README.md docs: ADR 0009, feature parity for the other languages 2026-10-14 14:35:35 +02:00

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 dictionaries service in deploy/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 mount deploy/dictionaries/ into the server (compose.yaml says how), and update them monthly.
  • Development: dart run halkyon_learn_curator:curate update --into ../halkyon_learn_server/dictionaries in 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.