Two halves of the same idea, both read out of work Petal already
records.
Planting: an accepted collocation is a learnable chunk, so it becomes a
phrase card. The scheduler didn't need to know — a three-word chunk
climbs the ladder exactly like a looked-up word. What needed care was
deciding what *isn't* a chunk (single words are word choice; a
six-word-plus "collocation" is a rewritten sentence, and sentences make
miserable flashcards), and that the example must be the *corrected*
sentence — the stored draft still holds the phrasing she just left
behind. Re-accepting the same chunk leaves the existing card alone
rather than resetting a schedule it has been climbing. The whole thing
is best-effort: accepting an edit must never fail because a flashcard
couldn't be made.
The growth journal: kept this month beside kept the month before, the
phrasing that stuck, the patterns that faded. The queries were the easy
part; the honesty is the feature. "Stuck" needs the phrase in a *second*
document, because one document is just the edit where she left it.
"Faded" says nothing at all unless she has been writing lately —
otherwise a month away from Petal comes back to her as progress, which
is the one way this could lie. And a suggestion had to start recording
when she *decided* it, not when the model proposed it, so 0012 adds
resolved_at and backfills the old rows to their created_at.
It lives as a second tab in the garden, and it feeds the kitten: after
an accept she now sometimes hears something true of her alone, once per
line, half the time, never waited for.
Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua
The plan's last open line was "Piper pt-PT voice instance on parodia",
and it hid two things.
A language was still a code change — read-aloud knew exactly two,
named in the Config struct. It discovers them from the environment now,
so fr and es cost a compose service and two .env lines.
And the voice repeated the phase's own lesson in a new place:
pt_PT-tugão-medium is the only European Portuguese voice Piper ships,
and its own downloader cannot fetch it — the ã goes into the HTTP
request line and http.client encodes ASCII.
Deploying is also what finally ran the reverse lookup against the real
550 MB dict.db, which the previous session left open because this laptop
has none: data → "date", comum → "common; usual", tarde → "evening",
with think, computer and garden correctly silent. think glossing to
pensar first confirms Phase 20's sense-agreement ordering on real data
rather than on a fixture.
Still owed, both said plainly in the phase: no pt-PT speaker has read the
pack, and no pt-PT account exists — both writers are on the zh pair, so
nothing she sees changed today.
The plan said "Hunspell pt-PT vendored like en-US". Measuring that first is
what saved it: nspell expands affixes eagerly on construction, and European
Portuguese's 1,340 rules over 44,257 stems want over a gigabyte of browser
heap — ~340 MB for the first 12,000 entries, and no return at all after three
minutes on the whole file. So the expansion runs once at build time instead:
1,039,058 forms, 2.66 MB gzipped, read by the same nspell in 842 ms.
The obvious npm package would also have shipped the wrong language. Both
dictionary-pt and dictionary-pt-br carry VERO, the Brazilian word list, so
vendoring by name puts pt-BR spellings behind a pt-PT label — the drift
SUGGESTIONS §3 warns about, arriving through the packaging where no reviewer
can see it. The source is Projecto Natura's, and the build script now asserts
the fault lines (receção in, recepção out) before writing anything.
Spellcheck consults both dictionaries and flags only what both reject, which
is the no-detector answer to a pair with no script boundary. The word card
does the same in the other direction: "data" is a word in both languages, so
Petal shows both readings rather than guessing which she meant.
Writing the tests caught the one real bug — extendedAlphabet was a snapshot
while correct/suggest read live, and her dictionary arrives after English, so
every lookup would have resolved "cora" while the underlines were already
right.
Not done, and not claimed: the pack has not been read by a pt-PT speaker, and
the Piper voice is deferred with the deploy.
Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua
dict.db now holds all five languages on the VPS. The deploy notes carry the
recipe, the two traps (SUBTLEX-US fails harmlessly; check the other languages'
counts are unchanged before shipping) and the measured coverage, so the next
rebuild is not archaeology.
Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua
Both are migration-free, so this was a rebuild: backup first, dict.db into the
LUKS volume and SHA-256 verified end to end, then pull and build. Startup logs
the languages it actually opened rather than the ones it hoped for, which is
the check worth having — the deployed binary found the deployed file with all
five in it.
Nothing she sees changed today. Both accounts are on the zh pair, the langpack
reads verbatim, and the Chinese gloss still comes from ECDICT. What shipped is
the capacity for the next pair.
Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua
Word lookups now come from DreamDict's dict.db for every pair but Chinese —
opened read-only beside petal.db, no service, nothing over the VPN, because a
hover gloss has to answer in milliseconds.
`Provider` is the two questions the popover and the tooltip already asked, so
the embedded *Lexicon satisfies it with no changes at all; Set.For(lang) is the
single place the choice between them is made. The prerequisite in the dreamdict
repo turned out to be two things, not one: the module path was unfetchable
*and* the query layer sat in internal/, which no other module may import
whatever the module is called. Both fixed upstream.
The plan's central assumption did not survive the data. It mapped
Gloss ← Translate(word, "en", L1) one-to-one; against the real 452 MB database
that table answers for 17% of the 2,000 commonest English words into pt-PT.
Wiktionary's translation sections are thin in that direction — "ephemeral",
"think" and "quickly" have no en→pt-PT row at all. Shared WordNet synsets
answer for 61%, so DreamDict gained Equivalents() and Petal glosses through it.
Ordering those was wrong in an instructive way too: sorting by frequency
glosses "think" as lembrar, "remember", because lembrar is the commoner
Portuguese word even though pensar shares six of think's synsets to lembrar's
one. Counting sense agreement first asks the right question.
The same measurement is why zh stays on ECDICT: DreamDict reaches a Chinese
gloss for 53% of those words, ECDICT for nearly all of them. The plan said
converge only if quality holds. It didn't, so nothing converged.
Two decisions about failure worth keeping. A missing dict.db is not an error —
a laptop checkout has never had one — but a present-and-never-imported one is,
because that is a half-finished deploy. And a pt-PT writer with no dictionary
falls back to the embedded datasets with the gloss suppressed, keeping
definitions, synonyms and phonetics rather than blanking the popover: an empty
field reads as "not found", the wrong language reads as broken.
The new fields surface as an etymology line and a three-band chip. Three, not
five: the difficulty score separates "everyday" from "you'll have to explain
this" but cannot rank obfuscate against serendipity, and a finer scale would be
a confident-looking lie. An unscored word gets no chip.
Writing the tests found two bugs first — trimEtymology sliced by byte, which
would have emitted invalid UTF-8 for exactly the Greek and Latin etymologies
the feature exists for, and its ellipsis path overran its own cap.
go build/vet/test, tsc, vite, vitest 96/96 clean; live smoke against the real
dict.db with one instance flipped from zh to pt-PT mid-run.
Not deployed: go.mod still replaces github.com/prosolis/dreamdict with
../dreamdict, so the Docker build needs the two upstream commits pushed and the
replace dropped. The deployed dict.db also predates DreamDict's Spanish data.
Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua
Every `中文 · English` string moves out of ~29 components into
web/src/i18n: one Pack type, a verbatim zh pack, and two ways to read
it — usePack() for components, pack() for the modules that build a line
when something happens rather than when something renders.
Anything with a value in it is a function on the pack rather than a
template at the call site, English pluralisation included: word order
isn't universal, and a pack author has to be able to move the number.
The roster constants (tones, rewrite styles, export formats, companions)
keep only value + emoji, so a label can't drift from its key.
On the server, internal/llm/lang.go replaces "Simplified Chinese" in the
three prompts that actually name her language. pt-PT is spelled
"European Portuguese (pt-PT, never Brazilian Portuguese)" in the prompt
itself, and each Lang carries her word for "why" so the tutor prompt
still recognises the question when she asks it her way.
pair_lang reaches the model through the row-scoped query each handler
already ran — the one that proves she owns the document — rather than a
second lookup that could disagree with it.
Also records Phase 18's deploy: migration 0011 rehearsed against a copy
of the live VPS database, then applied for real.
The mute toggle, the falling-petals toggle and the chosen companion lived in
localStorage, which is a property of the machine. Now that two people can sign
in to one Petal, sharing a laptop would have meant sharing a mascot and one
person's silence muting the other. Each key is namespaced by user id.
The awkward part is timing: sounds.ts and petals.ts read their value the moment
they are imported, long before /api/me can have answered. Rather than block
startup on the network for a mute flag, a read before the answer arrives sees
the old un-namespaced key -- on a single-writer browser, exactly the right
value -- and setPrefsScope then adopts it into that account's namespace and
tells every reader to look again. Adoption moves rather than copies, so the
first account inherits what was set before accounts existed and the second
starts from Petal's defaults.
The personal spelling dictionary moves further than that: onto the server. It
is built from her own writing, so it should not be readable by whoever sits
down at the same browser next -- but merely namespacing it would have split the
list she already has between her laptop and her tablet, which is worse than
where we started. A table keyed (user_id, lang, word) follows her instead. The
lang is the dictionary's, not hers: an English exception must not silence a
pt-PT flag once the second pair ships.
Adding a word takes effect in the editor immediately and persists in the
background, so the underline goes away the instant she asks. A browser still
holding the old list hands it over on first load, and only lets go once the
server has taken it.
Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua
Claire's writing — 8 documents, 33 snapshots, 103 suggestions, 3 vocabulary
words and an image — now belongs to her account rather than to the pre-auth
'local' user, and the VPS is canonical. millenia was left running and
untouched as a frozen fallback; it diverges the moment either side is
written to, so it wants retiring rather than syncing.
The plan's stated prerequisite, that she log in once so her subject exists,
turned out to be false. Authentik's hashed_user_id sub is the user's uid,
derived from her id and the instance secret, so it can be read in advance —
which means the data moves first and she signs in to find her writing
already there, instead of to an empty Petal that fills in later.
The fix here is to the liveness guard, and it is the second attempt at it.
PRAGMA locking_mode = EXCLUSIVE goes on holding its lock after being set
back to NORMAL — SQLite only lets go on that connection's next database
access — so against a real WAL database the script locked itself out of its
own VACUUM INTO backup. It passed locally because the test database had
come out of VACUUM INTO and so was never in WAL mode: the fixture didn't
look like production, the same way the stub identity provider's slashless
issuer didn't. The probe now runs on its own connection and closes it.
Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua
The destination is an OIDC subject id, which the app cannot know — it
belongs to the identity provider — so this runs deliberately, with Petal
stopped and a backup taken, rather than as a startup migration. documents,
tags, vocab_words and images carry user_id directly; versions, suggestions
and tag assignments hang off their parents and follow, which is why it has
to be one transaction with foreign keys off. Sessions for the old identity
are deleted rather than moved: a session is proof someone signed in, and
nobody ever signed in as 'local'.
Dry run by default, VACUUM INTO backup first, and it verifies every row it
expected to move actually moved — and that the source is left owning
nothing — before committing.
The 'is the app stopped?' guard took two attempts. BEGIN EXCLUSIVE, the
obvious check, sails past a running-but-idle Petal because in WAL mode it
only conflicts with another writer, which is precisely the case worth
catching. PRAGMA locking_mode = EXCLUSIVE conflicts with any connection at
all, since it locks the shared-memory index every WAL reader maps.
Sequencing this also turned up a crash waiting to happen: the image
backfill claims unowned files for 'local', which no longer exists after a
migration, and the resulting foreign-key error is fatal inside images.New.
Petal would have crash-looped the first time it started on a migrated
database. It now skips a missing owner, which costs nothing — the
migration moves the image rows itself.
Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua
Petal is now an OIDC client in its own right rather than trusting a header
from the proxy. The Phase-0 Resolver seam was the only integration point:
main.go picks the session store when Authentik is configured and the static
local user otherwise, and no handler or query moved for either.
internal/auth gains three pieces. session.go issues an opaque cookie token
and stores only its SHA-256, so a database copy yields nothing usable; the
30-day expiry slides on every request, throttled to one write an hour, and
logout deletes the row rather than just the cookie. oidc.go runs the
authorization-code flow with state, nonce and PKCE, and discovers the
provider lazily and on retry — an Authentik outage should block new logins
without stopping Petal booting or invalidating live sessions. users.go
provisions accounts from the token's claims and gates them on an allowlist
that matches emails as well as subject ids, since a subject is an opaque
uuid that doesn't exist until someone has already logged in once.
Migration 0010 lands sessions, images and users.pair_lang together. The
images table closes the capability-URL hole the Phase-0 audit flagged: a
hash was previously enough to fetch anyone's picture. Rows are keyed
(name, user_id) so one file can have several owners and deduplication
survives; a stranger gets 404 rather than 403, the cache header drops to
private, and files already on disk are claimed at startup or every image
already pasted into a document would 404.
On the frontend a single 401 interceptor feeds a warm bilingual sign-in
overlay, drawn over a still-visible editor because nothing has been taken
away. Behind it is the part that matters: a save that comes back 401
stashes its body to localStorage before anything else and stops the
auto-save loop, and reopening that document after signing in merges the
draft back and saves it. An expired session must not cost writing.
Writing the round-trip test against a stub identity provider turned up a
real bug: the one-shot state/nonce/PKCE cookies were cleared in a defer,
which runs after the redirect has written the response header, so the
clearing Set-Cookie was silently dropped and they lingered for their full
ten minutes.
Also swaps the emoji favicon for a drawn sakura, which renders as Petal's
own rose palette everywhere instead of whatever each platform's font
decides, and doubles as the app tile in Authentik.
Migration 0010 verified against a VACUUM INTO copy of the live millenia
database: counts intact, FTS still matching, the one existing image
claimed.
Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua
The canonical instance -- the one with her actual writing -- turned out
to be the least protected thing in the estate:
- No scheduled backup at all; the newest snapshot was a month old. Now
petal-backup.timer: VACUUM INTO, gzip, age-encrypt with the parodia
public recipient, push to the VPS over headscale with a size check,
prune both ends. Persistent=true because the box is not on 24/7.
Neither machine can decrypt what it holds; the identity is offline.
- Petal ran as a bare ./petal with PPID 1, so a crash or reboot left it
down until somebody noticed. Now petal.service, verified by kill -9.
- The Piper units retried forever without ever failing: RestartSec=3
against systemd's default 10s window means the burst limit is never
reached, which is how a dead service logged 26,800+ restarts over a
day while read-aloud silently fell back to browser speech.
StartLimitIntervalSec=300 makes a broken Piper show up in --failed.
backup-petal.sh now handles both deployment shapes (compose exec on the
VPS, local binary on millenia) and encrypts before anything leaves the
host. The VPS no longer uses it -- Petal rides parodia-backup there.
deploy/README.md becomes the real runbook: the VPS stack, Traefik, the
headscale LLM link, the interim edge gate, backups and restore. The
millenia Piper notes move to an appendix -- that instance still runs
them, and it is still canonical.
Two items are called out as outstanding rather than done, because both
need access to millenia: vLLM is not bound to its headscale interface,
so no AI pass works from the VPS yet, and parodia's ssh key is not
authorized there, so backups are VPS-local only -- which is not a backup
in the sense that matters. Each has its one-command fix written down.
Also folds in DreamDict gaining Spanish: es was explicitly gated on that
dataset existing, so it moves from "Later / not now" to a normal
follow-on pair after pt-PT, and the Phase 20 provider seam should cover
it from the start.
SUGGESTIONS.md (new): the product rationale. Every user gets one
(English + X) pair, X in {zh, pt-PT, fr, maybe es} - bilingual UI in the
pair, type in either language, direction inferred without a detector
(both-dictionaries spellcheck, show-both gloss on collision). Langpacks
keyed by X. LLM-minimalism as a standing principle: the LLM never gates
essential functionality; grammar-lite rules and an embedded
miscollocation list are planned as code-first layers beneath the LLM
families.
MULTIUSER_PLAN.md: all OPEN decisions settled - in-app OIDC (the
parodia.dev VPS hosting plan decides it), 30-day sliding sessions,
allowlist, migration-by-script, image-store ownership fixed alongside
auth, DreamDict imported as a package reading dict.db (module rename
prereq lives in the dreamdict repo), zh stays on ECDICT until compared.
BUILD_PLAN.md: the deferred bucket becomes checkboxed Phases 15-22
(deploy plumbing / OIDC / local-user migration / client-state
namespacing / langpack extraction / DreamDict provider / pt-PT pair /
learning loop + code-first layers) with standing rules: isolation tests
in the same commit as any user-scoped endpoint, LLM-minimalism, and
bilingual aesthetic as acceptance criteria.
Petal ran as a single hardcoded user, with db.LocalUserID named directly
at ~35 query sites. That made the caller's identity a compile-time
constant scattered across every package — nothing a real login could
replace without touching all of them.
New internal/auth moves it into the request context:
- Middleware(Resolver) resolves the caller once per API request
- handlers read auth.UserID(r.Context()) instead of naming a user
- Resolver is the seam an Authentik session check drops into
- StaticResolver(db.LocalUserID) keeps Petal single-user today
Behavior is unchanged. UserID returns "" rather than panicking when the
middleware is absent, so a mis-wired route fails closed: every query is
WHERE user_id = ?, which then matches nothing.
main.go splits /api into a public group (/health, /version) and an
authenticated group for everything else — a monitoring probe must not
need a session.
Two pre-existing access-control gaps fixed while threading, both
harmless with one user and not with two:
- setStatus (accept/dismiss) updated a suggestion by bare id with no
ownership check at all
- listForDoc/fetchPending read a document's suggestions by doc_id
alone; a suggestion quotes the sentence it corrects, so that leaked
the source prose
Both now scope through documents.user_id.
Tests: internal/auth covers the context round-trip, the absent-context
case, and both 401 paths. Two-user isolation suites in docs and
suggestions mount the same routers twice behind two resolvers over one
database and assert a stranger gets 404 on every id-taking path, sees
nothing in list/search, and leaves the owner's data untouched.
Those suites earned their keep immediately: docs.fetch gained a userID
parameter but kept binding db.LocalUserID in the query. Unused
parameters are legal Go, so it compiled clean, vet was silent, and every
existing test passed while the lookup stayed unscoped.
Still global, out of scope and flagged in BUILD_PLAN.md: the image store
has no per-user association, and frontend localStorage keys are
per-browser rather than per-account.
Phase 12 — collocation coach: a third suggestion family for gentle
"natives usually say…" hints on non-native word pairings, reusing the
existing runPass/pendingScope/rail machinery.
- llm/collocation.go (RunCollocation, 25s floor, reuses ParseCheckpoint)
+ collocationSystemPrompt/CollocationMessages (warm, Mandarin gloss,
defers grammar/spelling to the grammar family)
- migration 0005 rebuilds the suggestions table to extend the type CHECK
(SQLite can't ALTER a CHECK)
- collocationScope + CollocationLimit + POST /{id}/collocation
- fix: grammarScope was `type != 'voice'` and would wipe the new
collocation flags; now `type NOT IN ('voice','collocation')`
- frontend: --color-blossom, "Make it sound natural 🌸" pill,
collocating/runCollocation in useCheckpoint, StatusBar dot
Phase 13 — vocabulary garden: capture looked-up words and surface them
for gentle spaced repetition.
- new internal/vocab package: migration 0006 (vocab_words, SM-2-lite
columns, doc_id ON DELETE SET NULL, UNIQUE(user_id,word)),
scheduler.go (Leitner ladder 1/3/7/16/35 then geometric; gentle
"again", no streak-shaming), handlers (capture-upsert/list/due/
review/delete, owner-scoped, SQLite-side datetime math)
- auto-capture on word lookup (dictionary-known words only, captures
the surrounding sentence + doc_id) + 🤍/💚 toggle on WordCard
- GardenPanel: blossom grid (bloom by reps), flashcard review (sentence
blanked, flip, again/good/easy, recognition↔production), sleepy-kitten
footer; opened from a global 🌷 header button
Tests: TestCollocationPassCoexists, vocab scheduler + handlers, db CHECK
extended. go build/vet/test + tsc + vite + vitest (51/51) clean;
migration verified against a copy of the live DB; live backend smoke
walked the full vocab lifecycle + the warm-502 collocation path.
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
Companion warmth:
- ENCOURAGEMENTS grown 5->10; new BEDTIME lines (warm/playful, zh-first)
- useCompanion heartbeat gains a bedtime branch (>=11pm, while actively
writing) gated by a 30min cooldown; new 'bedtime' BubbleTone paces it
Night mode (auto at ~11pm, local clock):
- lib/night.ts centralizes isBedtime() + the window, shared with the nag
- useNightMode toggles a `petal-night` class on <html>; index.css re-points
only the palette tokens, so every Tailwind color utility flips via var()
with no component edits (600ms dusk fade; print stays white)
- PetalFall gains a `night` prop: chunky cartoon power stars (makeCartoonStar,
5 candy colors) mixed ~70/30 with twinkle sparkles; each star spins at its
own rate (~0.5-2.2 rad/s, random direction), falls straight down, shimmers
Verified: go vet/test, tsc, vitest 51/51, vite build; real-browser
screenshots/video (clock mocked to 23:30).
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
Writer power-ups (Phase 11), plus the selection-bubble vs copy/paste fix.
- Find & Replace (Ctrl/Cmd+F): SearchHighlight decoration extension +
FindReplace bar (match-case, replace-all back-to-front, scroll without
popping the selection bubble).
- Read-aloud (Web Speech, offline) on the word card and selection bubble.
- Keyboard/touch access to the ESL helpers: Ctrl/Cmd+D look up word at caret,
Ctrl/Cmd+J rewrite selection, touch long-press lookup. Refactored the
right-click handler into a shared openWordLookup(pos).
- Whole-corpus backup: GET /api/docs/export-all zips every doc (md/docx),
de-dupes filenames, dated name; sidebar download links. TestExportAll.
- Smart typography input rules (curly quotes/em-dash/ellipsis), ASCII-only so
CJK is untouched.
- Duplicate doc, sidebar sort (Recent/Title/Longest), toolbar outline popover.
- English phonetic (chosen over pinyin for an English learner): ECDICT-built
phonetic.json.gz (46,579 words) + Result.Phonetic + WordCard IPA line;
scripts/build_phonetic.py (full build + --seed fallback).
- Selection bubble no longer blocks copy/paste: deferred to pointer-up and made
click-through except on its buttons.
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
Cross-document FTS5 search (trigram tokenizer for EN + space-free CJK, kept in
sync by triggers, back-filled from existing docs). GET /api/search uses the FTS
index for queries >=3 runes and a LIKE fallback for 1-2 (so 2-char Chinese words
resolve); snippets are built in Go with rune-aware boundaries and sentinel
highlights.
Tags: user-scoped tags + document_tags join (both cascade), idempotent
create/assign, per-tag doc counts. Doc list and search carry each doc's tags
(one tagsByDoc query). Frontend: useTags, TagChip/TagPicker/SearchBox, rewritten
DocList with chips + filter bar + search.
Tablet/touch: responsive sidebar drawer (hamburger + scrim <768px), coarse-
pointer tap targets, tap-to-open + outside-pointerdown-close for suggestion
cards.
Warm LLM-down state: useCheckpoint llmDown flag drives a gentle bilingual
StatusBar note (writing still saves locally).
Migration 0004 (tags + FTS). Tests: tags lifecycle, search EN/CJK/LIKE/update-
reindex. go build/vet/test, tsc, vite all clean; verified live on deployment host.
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
Inline Chinese gloss (offline) and a "say it more naturally" / tone-rewrite,
the two ESL features for the Mandarin-speaking writer.
Gloss: embedded English→Chinese dictionary (gloss.json.gz, 57k common words
built from ECDICT via scripts/build_gloss.py). lexicon gains Gloss()/Result.Gloss
and a lightweight GET /api/gloss/{word}; the right-click WordCard leads with the
中文; GlossTip shows it on a 350ms hover (reuses wordAt, so CJK is never glossed).
Offline + instant, works with the LLM down.
Rewrite: selecting text pops a SelectionBubble (✨更自然 + the tone vocabulary);
picking a style calls POST /api/docs/:id/rewrite (llm.RunRewrite, stateless,
owner-scoped) and shows a RewritePreview (original→rewrite, accept/cancel/retry).
Accept applies it in-editor.
Tests added in lexicon and suggestions. go build/vet/test, tsc, vite all clean;
live smoke vs a fake vLLM verified gloss + rewrite + 400/404/502 paths.
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
Version history: new document_versions table (migration 0003) holding
full-body snapshots that cascade with the doc. Throttled auto-snapshots
on save (>=3min apart, max 40/doc, pruned), explicit manual restore
points, and a pre_restore safety copy taken before each restore so
restoring is itself undoable. Endpoints under /api/docs/:id/versions,
all owner-scoped. Empties and bare renames never snapshot.
Export: pure-Go Tiptap-JSON -> Markdown / HTML / plain-text / docx
(no cgo/pandoc, single-binary intact), CJK-safe with RFC 5987
filenames. docx is a hand-built OOXML zip. PDF is handled client-side
via the browser print dialog + an @media print stylesheet so CJK
renders with the reader's own fonts.
Frontend: ExportMenu (downloads + Print/PDF) and HistoryPanel
(snapshot list, preview, restore) wired into the title row; bilingual
zh-first to match chrome. Restore remounts the editor via editorEpoch.
Stop saving empty docs: blank Untitled drafts now reuse-on-create and
self-discard when navigated away from (refs avoid stale closures).
Tests: versions_test.go, export_test.go (incl. valid-zip docx).
go build/vet/test, tsc, vite build all clean; live end-to-end smoke
verified snapshot/throttle/restore/export.
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
Vendored Hunspell en.aff/en.dic into web/public/dictionaries/en/ (served as a
static asset + embedded in the binary, kept out of the JS bundle). dictionary-en
moved to a devDep — only used to source the files.
- useSpellChecker (App-level, loads once/session): fetches the dict, builds an
nspell instance, replays a localStorage personal word list; addWord persists
and bumps a version so consumers re-decorate. Ambient types in
src/types/nspell.d.ts (the package ships none).
- SpellCheck Tiptap extension: misspellings as ProseMirror decorations (no
stored marks), recomputed on edit / caret move / checker swap. Latin-only
tokenizer so CJK is never flagged; skips short tokens + all-caps acronyms;
exempts the caret word to avoid mid-typing jitter. Reuses mapOffset (now
exported from SuggestionHighlight); wordAt resolves the exact span on click.
- MisspellCard: soft rose wavy underline, bilingual popover with up to 5 nspell
corrections (click to replace) + add-to-dictionary. Closes on outside-pointer,
edit, or doc switch.
Chinese spell check intentionally omitted — nspell is dictionary-based and
English-only; Chinese typos (homophone 别字) need an LLM, out of v1 scope.
tsc/vite/go build+vet clean; live server serves both dict files; nspell
behavior smoke-tested.
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
Click the mascot to open a bilingual picker and switch between the Sleepy Cat
(always asleep, still talks in her sleep) and the Happy Dog (awake/bouncy).
Choice persists in localStorage.
- companions.ts is the roster; add one by dropping a pure-vector Lottie JSON
in animations/ and appending a COMPANIONS entry.
- napping = companion.alwaysAsleep || mood === 'sleeping' drives the sway/zzz.
- Removed the old single MOOD_ANIMATIONS map (animations/index.ts).
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
- LottiePlayer now auto-crops each asset to its content bbox (union getBBox
across 6 frames -> square viewBox), so stock files with empty artboard
padding fill the badge instead of floating tiny in the middle.
- Wire sleeping-cat.json to every mood: she's always asleep in the corner yet
still mumbles tips and cheers through the bubble. napping hardcoded true so
she keeps the calm sway + drifting zzz even while "talking".
- happy-dog.json parked in the folder as an awake-mascot alternate.
- Enable resolveJsonModule for the JSON imports.
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
A cozy bottom-right mascot that reacts to the writing session: cheers on
accepted suggestions and word-count milestones, drops Mandarin-first writing
tips, suggests screen breaks after long stretches, and naps when idle.
- useCompanion: library-agnostic behavior engine (priority + cooldown paced
so it never nags); tips.ts holds all copy, bilingual zh-first.
- LottiePlayer wraps lottie-web's light build (offline, no eval/CDN) so it
bundles into the Go binary. Ships with an emoji-kitten placeholder per mood;
dropping a Lottie cat JSON into animations/index.ts is the only swap needed.
- Speech bubble uses the CJK-first font stack (spec Note #17).
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
- Accept confetti: CSS-only 4-dot burst spawned at the accepted card,
trajectory via inline --dx/--dy, auto-cleared after 720ms.
- Distraction-free mode: editor focus collapses the doc-list sidebar
(width→0 slide), canvas re-centers full-width; Escape or a click
outside the canvas (header/gutter/status bar) restores it.
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
Tier-1 voice-consistency pass: whole-document LLM review surfacing passages
that read tonally out of place (formal/over-polished/paraphrased-too-closely),
as honey-decorated `voice` flags with no correction (awareness-only).
- internal/llm/voice.go: RunVoice sends the whole document (no TruncateDoc),
MaxTokens 2048, 20s per-doc floor (VoiceInterval). Standalone voice prompt
in prompts.go (not bundled with the grammar checkpoint, per spec).
- internal/suggestions: POST /api/docs/:id/voice. replacePending is now
family-scoped (pendingScope) so grammar and voice never clobber each other's
pending flags; both passes return the unified pending set. check/voice share
one runPass helper. TestVoicePassCoexists covers both directions.
- Frontend: api.voiceDoc, useCheckpoint voicing/runVoice, honey "Check my
voice" toolbar pill, breathing honey dot in StatusBar.
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
Conversational follow-up on a suggestion, streamed token-by-token.
Backend (interface-only; handlers never touch a concrete LLM client):
- internal/llm/chat.go: StreamAskPetal with conversational sampling
(max_tokens 512, temp 0.7, rep 1.15, top_p 0.92, stop "\n\n\n"),
reusing AskPetalSystemPrompt + TrimHistory.
- internal/suggestions/chat.go: POST /api/suggestions/:id/chat. One
user-scoped join loads the suggestion + parent content_text;
surroundingParagraph extracts the \n\n-bounded paragraph at from_pos
(whole-doc fallback when unlocated) and injects it server-side.
Streams event: token / event: done SSE frames with JSON-encoded data
so token newlines can't break framing; real http.Flusher per chunk.
LLM-unreachable -> 502 before SSE headers; unknown suggestion -> 404.
Frontend:
- streamSuggestionChat: fetch + ReadableStream SSE parser (not
EventSource, needs POST), abortable.
- AskPetal.tsx: whole conversation in component state (no persistence,
cleared on close), Petal's first bubble pre-seeded with the
explanation, rose/lavender bubbles, CJK font stack on the bubbles
only (Note #17), streaming caret.
- SuggestionCard "Ask Petal" pill pins the card open while chatting
(hover-close suppressed, click-away closes) and widens it to 340px.
Tests: chat_test.go covers streamed-text concat + done event,
server-side context injection on the system message, sampling params,
404, and surroundingParagraph. go build/vet/test clean, tsc clean,
vite build OK. Live SSE smoke-tested against a fake streaming vLLM:
tokens flushed individually through the chi middleware stack, done
terminator, 502 on LLM-down, 404 on unknown suggestion.
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
Qwen 3.5 — the spec's recommended model — is a reasoning model. With
thinking on, Ollama streams its chain-of-thought into a separate
`thinking` field and hits num_predict before emitting any answer into
`content`, so Complete() got an empty string and the checkpoint failed
with "no JSON object in model output". Sending `"think": false` on every
/api/chat request fixes it; non-thinking models (qwen2.5) ignore the flag.
Validated end-to-end on deployment hardware (Ollama, qwen3.5:9b): the
grammar checkpoint now caught all five ESL errors in a 3-sentence sample
with correct JSON and string-anchoring, ~8.5s warm.
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
Backend (internal/llm): backend-agnostic LLMClient interface + factory
with vLLM (OpenAI-compat) and Ollama (native) clients, each Complete +
Stream. prompts.go holds the checkpoint and Ask Petal templates;
checkpoint.go salvages JSON from model output (brace-matched), enforces a
per-doc 30s RateLimiter, and truncates the doc to a latency cap.
internal/suggestions: POST /api/docs/:id/check runs a checkpoint and
replaces the doc's pending suggestions in one tx (accepted/rejected kept
as history); GET /api/docs/:id/suggestions lists pending;
POST /api/suggestions/:id/{accept,dismiss} resolves one. Throttled checks
return the current set rather than erroring.
Frontend: useCheckpoint (4s debounce, loads existing on open, stale-guard
tokens); SuggestionHighlight renders ProseMirror decorations re-anchored
by the `original` string on every doc change (not stored marks), with
precise textblock-offset→PM-position mapping; SuggestionCard shows the
type tag + diff + explanation and applies the replacement in-editor on
accept; breathing rose checkpoint dot in the StatusBar; fade-float +
breathe animations.
Tests: llm parse/rate-limit/truncate; suggestions full flow + rate-limit
over httptest with a stub client. Smoke-tested end-to-end against a fake
vLLM endpoint (anchoring verified) and the LLM-unreachable 502 path.
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
Backend internal/docs: chi sub-router (list/create/get/update/delete)
mounted at /api/docs, scoped to the local user. Create uses RETURNING;
update is a COALESCE partial-update so rename and full editor save share
one PUT. JSON 404/400 errors; handlers_test.go walks the lifecycle.
Frontend: api/client.ts, useAutoSave (1.5s debounce + saveNow flush
before doc switch), EditorCore (Tiptap StarterKit/Underline/TextAlign/
Placeholder/CharacterCount) + Toolbar, DocList/DocListItem, StatusBar,
and an App.tsx that orchestrates load/select/create/delete with
optimistic sidebar patching. content + content_text + word_count are
emitted together on every edit. .petal-prose styling (Lora body, Nunito
headings).
Verified: tsc clean, vite build, go build, full CRUD smoke test incl.
CJK title round-trip and SPA serve.
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
- Go module + chi server with embedded SPA serving and /api/health
- internal/config env loader (local-dev defaults; auth/copyleaks deferred)
- React 19 + Vite 6 + Tailwind v4 frontend with full Petal design tokens
- Frontend embedded into the binary via web/embed.go (go:embed all:dist)
- README dev workflow, .env.example, BUILD_PLAN progress tracker
- Verified end-to-end: binary serves health, embedded SPA, and SPA fallback
prosolis