Commit Graph

4 Commits

Author SHA1 Message Date
MechaCat02
bf9b5950da feat(db): a roadmap without 'now' rows, chat ids two devices can share, the learner-model tables
Three storage changes the reworked app needs, as migration 8.

Progress. "Which unit is current" was a 'now' state on each unit's row. Two
devices that advanced could leave two of them, and leaving a finished unit
through the roadmap panel wrote it back to 'todo' — goToUnit un-finished
work. Where he is now lives in one place, meta road.unit; a unit's row
records only what is true of that unit: done, confidence, and room for the
answer count and the tutor's note that earned progress needs. The migration
carries the most recently written 'now' row across with its own stamp.

Chat. Turn ids were INTEGER PRIMARY KEY — max+1 on whichever device wrote
them, restarting at 1 after a clear — so two devices continuing a lesson
both wrote turn 201 and sync treated two different turns as one row. Ids
are UUIDv7 now, and the transcript is ordered by (created_at, id). Existing
turns become legacy:<device>:<n>, zero-padded so turns sharing a timestamp
keep the order they were written in; their tombstones are renamed with them.

The learner model gets its tables: evidence (lib/srs.js's record, plus the
rounds of the first and last CORRECT answer, which PORT.md measures and lib
does not), confusion, and phase_ledger for the 다지기 checklist, with a
confirmed flag so putting an item back is an edit rather than a delete.

A roadmap reset now clears the ledger and road.*; a full wipe also clears
evidence, confusions and learner.* — the artifact's wipe left its round
counter and confusion list behind. What a learner knows about words
survives a roadmap-only reset, as it should.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-16 20:10:58 +02:00
MechaCat02
f8183d786f feat(dict): stable lemma ids — a card names its word, not a build position
Cards point at lemmas by id, and an id was the entry's position in the
sorted build. One word added near the top of the dictionary would have
moved every card below it onto a different word — silently, because loaded
bands were recorded by number and a rebuilt dictionary never reached an
existing install anyway. A custom word took max(id)+1 on whichever device
added it, so the same id meant different words on a phone and a laptop.

An id is now lemmaId(headword, pos), a 53-bit hash defined once in
shared/ and used by the build, the loader, custom words and the migration.
The build asserts all 30,520 entries are collision-free, and a test pins the
function itself, since changing it re-keys every card.

Band files are format 2: they carry no ids at all. The loader derives each
id from the word, and a surface names its lemma by row index in the same
file. Writing hashed ids out cost 0.5 MB of incompressible digits; leaving
them out makes the files smaller than before (1.1 MB -> 1.0 MB).

The loaded dictionary is now versioned by its band hashes, so a rebuild
reloads on the next boot — safe only now that a reload cannot move a card.

Migration 6 re-keys an existing install without stamping anything: cards
and their tombstones move through the lemma rows still loaded, custom words
become custom_word rows (the learner's data, which can travel) carrying the
time their card was made, and the dictionary is dropped to reload.

Sync is paused until the protocol that replaces it lands: the server still
holds rows under the old ids, and exchanging them would plant cards that
name no word.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-16 19:59:14 +02:00
MechaCat02
f447f881c0 feat(sync): tombstones, the wire protocol, and the client loop
Row-level last-write-wins on updated_at, cursor-based on a server-assigned
change_seq. The schema was built for this in step 1, so the work here is
the three things it did not yet have.

Tombstones (migration 4). Row-level sync cannot express a delete: with the
row gone there is nothing to compare timestamps against, so the other
device pushes its still-live copy back and the row silently returns. Every
delete path now writes a tombstone inside the same transaction.

The wire format lives in shared/sync-protocol.mjs and is imported by both
sides, so there is one definition rather than two that drift. It carries
the syncable-meta allowlist, which is the load-bearing part: meta mixes the
learner's preferences with bookkeeping that describes one install, and
replicating dict.loadedBands would tell a phone that had loaded bands 0-2
it holds every row the desktop has — the word rail would then fail to find
words it believes are present.

The sync loop pushes first, then pages the pull. Two details it would be
easy to get wrong, both commented at their site:

- The pull cursor advances only as rows are applied, never from the push
  response. The server's newest change_seq includes rows this device has
  not seen; adopting it skips them permanently, and nothing ever asks for
  that range again.
- Pulled rows advance sync.pushedAt too, bounded by the instant the sync
  started. Otherwise they look like local edits and get pushed straight
  back, and an edit made during the sync is not swept up with them.

Seeded rows carry updated_at = 0, so a fresh device is never dirty and can
never win a conflict — the artifact's clobbering bug stays unrepresentable.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-09-08 19:57:32 +02:00
MechaCat02
7bd8507909 feat(dict): build pipeline, grammar lexicon, and the shipped band files
Closes REVIEW.md §2. 167 of 371 roadmap words had no lexicon entry, so the
word rail silently showed nothing. Now:

  Roadmap words: 371/371 resolve
  Spiral targets: 35/35 resolve
  Deck words: 386/386 resolve

and npm run dict:assert makes it a blocking build failure, not a silent
empty rail.

No runtime morphological analyser ships. lib/conjugation.js surfaceForms()
runs at BUILD time over every verb and adjective, so looking up a conjugated
form is an index hit on the surface table.

The frequency join had to be inverted. A subtitle frequency list holds
surface forms; a dictionary holds lemmas whose -다 citation form barely
occurs in running text, so joining on headword gives verbs a frequency of
roughly zero. Expanding each lemma into the forms it plausibly takes and
summing recovers 하다 from 118 to 89,041. Forms claimed by more than one
lemma are dropped rather than split, so homographs don't inherit each
other's mass. Those expansions score frequency only — the surface table
itself stays strictly surfaceForms() output plus the headword.

Bands are one per curriculum phase. Phase 1 admits no frequency band at
all: during the writing-system phase every word must be phonologically
legal for the unit reached, and a rank ceiling would hand the learner a
겹받침 during unit 1.4. shared/phonology.mjs lifts validate.mjs's own
feature ladder to enforce that; it agrees with the validator on all 371
words.

Sources are chosen automatically — KRDICT when vendored, otherwise the
kaikki.org extract. KRDICT's download is a JS form behind anti-bot
protection, so it cannot be fetched by CI; the derived band files are
committed instead, which the app needs offline regardless. Attribution and
the share-alike terms are in NOTICE.md.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-09-08 19:13:15 +02:00