45 Commits

Author SHA1 Message Date
prosolis
375e0dde4c Companion: add three Chinese sleep proverbs to the bedtime nag
Extends the BEDTIME rotation with classic Chinese proverbs on sleep. The zh
lines are faithful, natural-reading renderings of the proverbs' sense (the
verified classical 原文 isn't recoverable; the source English lives in old
collections) — swap in exact originals later if available. The "spouse" line
is kept non-gendered on purpose.

Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 15:17:33 -07:00
prosolis
7824b68ea1 Merge feat/night-mode-bedtime: Phase 14 bedtime nag + night mode
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 15:10:55 -07:00
prosolis
631279bd3a TTS: auto-detect Chinese vs English so callers can pass the selection
speak()'s lang now defaults to detectLang(text) (any Han/kana -> zh-CN,
else en-US) instead of always en-US, so reading a Chinese passage picks the
Piper zh voice rather than spelling out characters with the English voice.
Explicit lang still overrides.

Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 15:10:36 -07:00
prosolis
9576340391 Phase 14: bedtime nag + night mode (dark theme + falling stars)
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
2026-06-26 15:10:36 -07:00
prosolis
aebdc2679a Merge fix/checkpoint-token-truncation: stop 502s on long-doc checkpoints
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 14:16:13 -07:00
prosolis
8bd2509bc2 Checkpoint: raise output cap to 4096 + salvage truncated JSON
The grammar checkpoint capped num_predict at 1024, but qwen3.5:9b ignores
the prompt's "up to 5 issues" and emits ~17-20 suggestions (~2000 tokens)
on a 300+ word doc. The output hit the cap mid-array (done_reason=length),
the JSON never closed, and ParseCheckpoint found no parseable object -> a
502 in ~20s on every long doc (1024 tok @ ~50 tok/s, not a network
timeout). The repeated failures made the writing-assist helper look
permanently asleep.

Fix:
- Raise the cap to checkpointMaxTokens=4096. It is a ceiling, not a
  target -- the model stops at its JSON close, so shorter docs are
  unaffected; only genuinely long outputs use the headroom.
- Make ParseCheckpoint salvage the completed {...} suggestion objects
  from a truncated array (refactor extractJSONObject onto a shared
  firstBalancedObject scanner), so an over-long doc degrades to partial
  feedback instead of a hard 502.

Verified live on millenia: 'The Missing Key' (382 words) now returns 200
with 17 suggestions in ~38s, previously 502 every time.

Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 14:16:07 -07:00
prosolis
0f2f753efa Merge fix/checkpoint-paste-retry: auto-retry failed checkpoints, release slot on failure
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 13:11:16 -07:00
prosolis
46db0a3e16 Checkpoint: auto-retry after a failed pass; release rate-limit slot on failure
A paste fires exactly one grammar checkpoint, and a failed one never retried
until the next keystroke — stranding the writer on "Petal's helper is resting"
after a paste. Long docs make it worse: their 15-25s checks have a wide window
to catch a transient 502 from the shared Ollama (co-tenant apps load other
models and evict the 9B). A failed pass also burned the per-document rate-limit
slot, so a retry within 30s hit the throttle path and got an empty set back.

- llm.RateLimiter.Release rolls back a slot when its pass fails; Allow now
  returns the recorded timestamp so Release only frees its own slot.
- suggestions.runPass releases the slot on LLM failure before returning 502.
- useCheckpoint auto-retries a failed checkpoint with backoff (3/12/35s),
  keeping the breathing dot up and only flagging "resting" once retries exhaust.

Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 13:09:12 -07:00
prosolis
1bd38b20e8 Merge feat/suggestion-rail: right-margin comment rail + Mandarin explanations
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 12:23:22 -07:00
prosolis
82e2bcc777 Suggestions: right-margin comment rail + Mandarin explanations
Surface every outstanding suggestion as a card in the right-hand
whitespace, vertically aligned to the text it flags — so the writer sees
the whole queue at once instead of hovering each highlight. Cards stack
with collision avoidance, link both ways with their highlight (hover/click
↔ soft text wash, driven through the decoration plugin so it survives
edit repaints), and carry the same Accept / Dismiss / Ask Petal actions.
The rail is a progressive enhancement: it mounts only when there's room
beside the editor, otherwise the existing inline hover card is unchanged.
Stacked cards that reach the bottom-right corner tuck behind the
companion mascot (z-order).

When a card is expanded, the Ask Petal bubble now opens with the
Simplified-Chinese translation of the explanation (the English stays in
the card body) instead of repeating the same text twice — a new
POST /api/suggestions/{id}/translate one-shot LLM endpoint, loaded
lazily on open with an English fallback.

Verified live against the local LLM via the uitest harness: rail
stacking, hover↔text wash, expand/Ask Petal, accept-from-rail, narrow
fallback, and the Mandarin bubble.

Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 12:23:02 -07:00
prosolis
035dcf5d25 Merge feat/tts-piper: natural read-aloud via local Piper TTS (EN+ZH)
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 11:35:07 -07:00
prosolis
5120b1e5a2 Read-aloud: natural neural voice via local Piper TTS
Replace the browser's robotic Web Speech API (espeak on Chromium) as the
primary read-aloud path with server-side Piper neural TTS, served by petal
and kept fully offline on millenia next to Ollama.

- internal/tts: proxy short passages to Piper, transcode WAV -> mp3/opus via
  ffmpeg, content-addressed disk cache (instant re-taps). Each Piper instance
  loads one voice, so language routes to its own endpoint:{voice}. Unknown
  language -> 404 so the client falls back to Web Speech. UTF-8-safe truncation
  for multibyte (Chinese) text.
- config: TTS_ENDPOINT / TTS_ENDPOINT_ZH / TTS_VOICE_EN / TTS_VOICE_ZH /
  TTS_CACHE_DIR / TTS_TIMEOUT / TTS_AUDIO_FORMAT. Route mounts only when
  TTS_ENDPOINT is set; otherwise unchanged behavior.
- web/audio/speech.ts: speak() hits /api/tts first, falls back to Web Speech on
  any failure; rapid-tap-safe via a request token. Call sites unchanged.
- deploy/: Piper user systemd units (EN :5005, ZH :5006), setup script, README.

English (en_US-amy-medium) and Chinese (zh_CN-huayan-medium) are both live.

Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 11:34:52 -07:00
prosolis
adc0cdff1c Add butterfly/parrot/wiggle-dog companions; scale mascot + tips
- Three new Lottie companions: Wiggle Dog (摇尾狗), Butterfly (蝴蝶),
  Parrot (鹦鹉). Parrot is mirrored via a new `flip` flag on Companion,
  threaded through LottiePlayer (scaleX(-1)) since the asset faces left.
- Mascot size now scales with the viewport: --petal-companion-size
  clamp(10rem, 17vw, 20rem); art, emoji fallback, and the sleep "z" all
  derive from it.
- Larger, more legible tip bubble (1.4rem zh / 1.15rem en, wider bubble).
- Bubbles linger longer for a bilingual ESL read: baseline 9s→14s,
  cheer 6s→9s, per-char 45→55ms, cap 20s→32s.

Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 11:08:55 -07:00
prosolis
9d6698dcc6 Merge fix/suggestion-renag-anchoring: stop re-nagging resolved suggestions + typographic anchoring
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 10:40:30 -07:00
prosolis
6783ce7a51 Suggestions: stop re-nagging resolved edits + fix typographic anchoring
Two fixes for the "accept Petal's change, then it nags about the same
sentence moments later" report:

- replacePending now suppresses any freshly-generated suggestion whose
  original->replacement matches one the user already accepted or
  dismissed for that doc. The model has no memory between passes, so
  without this it re-proposes the identical edit on the next checkpoint.

- findRange anchored suggestions by exact string match, which missed
  whenever the model echoed an `original` with plain ASCII (straight
  quotes, --, ...) while the document held the Typography-converted
  glyphs (curly quotes, em-dash, single-char ellipsis). The miss meant
  no highlight AND a silent no-op on accept, which then fed the re-nag
  above. foldTypography canonicalizes those variants (with a source
  index map for length changes) so matching survives the mismatch.

Covered by a server-side regression test (accept+dismiss then re-check
returns nothing) and frontend unit tests for the fold and anchoring.

Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 10:35:57 -07:00
prosolis
3ac6382696 Merge feat/writer-power-ups: editor power-ups (find/replace, read-aloud, backup, phonetic)
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 09:47:50 -07:00
prosolis
db737fa612 Editor: Find & Replace, read-aloud, backup, typography, phonetic, org niceties
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
2026-06-26 09:47:26 -07:00
prosolis
6e6e4edce7 Editor: font-size presets + image insert/export support
Two editor features that were in flight alongside the sound work:
- FontSize TipTap extension (rides on textStyle) with Small/Normal/Large/
  Title presets in the toolbar; StatusBar + CSS support
- Image handling: internal/images handler, upload route + config, client
  API, EditorCore wiring, and md/html/docx export support for images

Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 09:05:40 -07:00
prosolis
58c326d0cf Notification sounds: hand-picked mp3 palette + error/milestone cues
Replace the synthesized WAV blips with curated mp3 effects:
- error ("haiya") plays on LLM-down/timeout and save failures, debounced
  and on-transition-only, with a reassuring bilingual bubble
- milestone (Chinese fanfare) now fires every 100 words
- all other notifications draw from a rotating pop pool that never repeats
  the last sound, so batches of suggestions/tips stay lively

playPop() replaces the per-suggestion-type sound map; thread llmDown through
PetalCompanion -> useCompanion for the error cue. Old synth WAVs removed.

Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 09:05:05 -07:00
prosolis
045ec19b92 Petals: 2D sprite blossoms instead of shader blobs
The procedural WebGL petals read as faint smudges. Replace with a 2D
canvas that pre-renders real notched sakura petal sprites (tip→base
gradient, soft central sheen, transparent edges) and blits falling,
rotating, swaying instances. Count scales with viewport; pauses when
hidden; skipped under prefers-reduced-motion.

Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 07:47:13 -07:00
prosolis
f6fa73b17b Petals: saturated blossom tints + glossy shading
The pale pastel tints washed out to grey over the cream canvas. Use
saturated cherry-blossom colors, add a luminous centre + soft base
shadow per petal, and render at full opacity so they read as colorful.

Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 07:41:53 -07:00
prosolis
8cf78130bf Merge: ambient WebGL petals + cute notification sounds
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 07:34:46 -07:00
prosolis
2487e73551 Ambient WebGL petals + cute notification sounds
Add a fixed, GPU-driven petal layer that drifts soft blossoms over the
page (sparse, translucent, paused when hidden, skipped under
prefers-reduced-motion). Add a synthesized cute sound palette — bubble
pop, water droplet, soft bell, sparkle, cheer — generated as embedded
WAV assets (scripts/gen_sounds.py) and played through a quiet Web Audio
bus with soft-clipping and a persisted mute toggle in the status bar.

Sounds fire per suggestion type when fresh advice arrives (staggered,
old pending advice stays silent) and on companion bubbles by tone.

Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 07:34:23 -07:00
prosolis
0a1ea225dd Merge: companion rules-based writing advice + tests 2026-06-26 07:16:45 -07:00
prosolis
69ecb79da1 Companion: rules-based, context-aware writing advice
Replace the kitten's random generic tips with a deterministic, LLM-free
prose checker that reads the actual document and surfaces one gentle,
bilingual note at a time — quoting a slice of her own sentence so the
advice is clearly about *this* draft.

Rules (all conservative, tuned for a Mandarin-native ESL writer):
run-ons, comma splices, unclear antecedents, Oxford comma, a/an,
uncountable plurals, capitalize languages/days/months, subject-verb
agreement, plural-after-number, double determiner, "there is" + plural,
its/it's, than/then, comma-after-transition, doubled words, lowercase
"i", sentence capitals, and spacing around punctuation.

Each rule is paired with false-positive guards (e.g. "a university",
"After dinner, I went home and read", existing Oxford lists) and pinned
by a 45-case Vitest suite (npm test).

Also: bubbles now linger proportional to how much there is to read
(zh+en) and pause-on-hover, so denser advice no longer vanishes mid-read.

Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 07:16:23 -07:00
prosolis
f3c4fe2c22 Merge Phase 10: organization & polish (search, tags, touch, warm failures)
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 06:30:21 -07:00
prosolis
9e141e4169 Phase 10: organization & polish — cross-doc search, tags, touch, warm failures
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
2026-06-26 06:29:56 -07:00
prosolis
60eba25fee Phase 9: ESL superpowers — Chinese gloss + tone-rewrite
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
2026-06-26 00:07:26 -07:00
prosolis
8e1111d768 Phase 8: version history + export (trust foundation)
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
2026-06-25 23:44:15 -07:00
prosolis
cf7720ea77 Merge: editor tone, word lookup, expanded stats
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-25 23:23:34 -07:00
prosolis
4c288834c0 Editor: document tone, right-click word lookup, expanded stats
Four enhancements to make the editor fit real school usage:

- Per-document tone (academic/professional/casual/humorous/creative/
  persuasive/general): new documents.tone column (migration 0002), threaded
  through the docs API, a bilingual ToneSelect dropdown on the title row, and
  injected into the grammar-checkpoint LLM prompt so advice fits the register.
  The voice pass stays tone-agnostic.

- Right-click word lookup: a new offline `lexicon` package serves definitions
  (Wordset, modern ESL-friendly glosses) and synonyms (WordNet synsets first,
  then frequency+stopword-ranked Moby for breadth) from gzipped embedded data,
  behind /api/word/{word} with light morphology. The WordCard popover shows the
  definition and tappable synonym pills that swap the word in place.

- Expanded writing stats: clicking the word count opens a StatsPanel with page
  count, sentences, paragraphs, reading time, average word length, word variety,
  and Flesch-Kincaid reading level — all computed client-side.

Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-25 23:22:55 -07:00
0d59b645bb Delete petal-spec.md 2026-06-26 06:00:21 +00:00
prosolis
95123e8c49 Grow the companion, fix idle fallback, add update banner
Companion: bump the corner mascot ~12% (128→144) and make animation
resolution robust — fall back to the idle clip when a mood has no clip of
its own, and pin the always-asleep cat to one pose so its Lottie never
reloads. This stops a bare emoji from replacing the cute companion on idle.

Update notifications: serve a build id at /api/version (a hash of the
embedded dist/index.html, which changes on every frontend deploy). The
client records its load-time id, polls every 90s (and on tab focus), and
floats a Mandarin-first "new version available" banner offering a refresh
when the id changes.

Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-25 22:45:23 -07:00
prosolis
a634994d25 Companion: double the mascot size + drop the sleepy-face nap
- Mascot badge 64→128px (Lottie 56→112, emoji fallback 32→64); zzz glyph
  scaled + repositioned to match. It read too small on screen.
- Awake companions (no sleeping clip, e.g. Happy Dog) no longer show a 😴
  face or drifting "z" when the engine naps them — they hold their idle pose
  via a renderMood redirect. Only the always-asleep cat (real sleep clip)
  keeps the zzz, preserving that gag.

Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-25 22:35:38 -07:00
prosolis
660f00d452 Phase 7: browser-side spell check (nspell, en-US)
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
2026-06-25 22:18:21 -07:00
prosolis
183219b5de Companion: selectable companions with a picker
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
2026-06-25 22:07:48 -07:00
prosolis
97f99b27e4 Companion: wire real Lottie assets — the always-sleeping cat
- 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
2026-06-25 22:03:02 -07:00
prosolis
8a32dde587 Add companion kitten — reactive corner mascot
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
2026-06-25 21:43:58 -07:00
prosolis
534f7262ab Phase 6: design polish — accept confetti + distraction-free mode
- 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
2026-06-25 21:21:46 -07:00
prosolis
0fa70979a0 Phase 5: voice consistency pass
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
2026-06-25 21:16:53 -07:00
prosolis
3c5f3ecb96 Phase 4: Ask Petal SSE chat
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
2026-06-25 21:05:39 -07:00
prosolis
3f7e705028 llm/ollama: disable thinking so reasoning models return content
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
2026-06-25 20:53:01 -07:00
prosolis
a4069d5755 Phase 3: LLM grammar checkpoint
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
2026-06-25 20:45:30 -07:00
prosolis
5e00cdce88 Phase 2: document CRUD + auto-save
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
2026-06-25 20:30:39 -07:00
prosolis
9c98e97030 Phase 1: data layer (SQLite, migrations, models, seed) 2026-06-25 20:25:14 -07:00
127 changed files with 67219 additions and 859 deletions

View File

@@ -7,6 +7,9 @@ BASE_URL=http://localhost:8080
# Database (SQLite, pure-Go modernc — no cgo) # Database (SQLite, pure-Go modernc — no cgo)
DATABASE_PATH=./data/petal.db DATABASE_PATH=./data/petal.db
# On-disk store for images pasted/dropped/inserted in the editor
IMAGE_DIR=./data/images
# LLM # LLM
LLM_BACKEND=vllm # vllm | ollama LLM_BACKEND=vllm # vllm | ollama
LLM_ENDPOINT=http://localhost:8000 # vLLM :8000, Ollama :11434 LLM_ENDPOINT=http://localhost:8000 # vLLM :8000, Ollama :11434
@@ -14,6 +17,20 @@ LLM_MODEL= # checkpoint model (small/fast). Never hardcod
LLM_CHAT_MODEL= # Ask Petal model (Mandarin-native). Falls back to LLM_MODEL if empty. LLM_CHAT_MODEL= # Ask Petal model (Mandarin-native). Falls back to LLM_MODEL if empty.
LLM_TIMEOUT=30s LLM_TIMEOUT=30s
# Read-aloud (TTS). Off unless TTS_ENDPOINT is set — when empty, the /api/tts route
# is not mounted and the frontend falls back to the browser's Web Speech API.
# Backed by a local Piper HTTP server (python3 -m piper.http_server).
# Each Piper HTTP server loads ONE voice, so English and Chinese need separate
# instances (different ports). zh is only routed when both TTS_ENDPOINT_ZH and
# TTS_VOICE_ZH are set; otherwise Chinese falls back to Web Speech.
TTS_ENDPOINT= # e.g. http://127.0.0.1:5005 — empty disables server TTS
TTS_ENDPOINT_ZH= # e.g. http://127.0.0.1:5006 — Chinese Piper instance
TTS_VOICE_EN=en_US-amy-medium # Piper voice id for English
TTS_VOICE_ZH=zh_CN-huayan-medium # Piper voice id for Chinese
TTS_CACHE_DIR=./data/tts # on-disk store for synthesized clips (content-addressed)
TTS_TIMEOUT=15s
TTS_AUDIO_FORMAT=mp3 # mp3 | opus | wav — mp3/opus transcode Piper's WAV via ffmpeg
# --- Deferred (not wired in the local-dev build) --- # --- Deferred (not wired in the local-dev build) ---
# Auth (Authentik OIDC) — deferred; single hardcoded local user for now # Auth (Authentik OIDC) — deferred; single hardcoded local user for now

View File

@@ -7,6 +7,7 @@ Multi-session build. **Source of truth for what's done and what's next.** Update
- **Copyleaks deferred** — needs a public webhook; skip Tier-2 plagiarism until there's a public endpoint. Tier-1 voice-consistency (local) is in scope. - **Copyleaks deferred** — needs a public webhook; skip Tier-2 plagiarism until there's a public endpoint. Tier-1 voice-consistency (local) is in scope.
- **Traefik/deploy deferred** — local dev first. - **Traefik/deploy deferred** — local dev first.
- **LLM**: Qwen 3.5 (256K context) on 64GB dual-GPU. Grammar checkpoint cap ~10K tokens (latency guard); voice pass sends whole document. - **LLM**: Qwen 3.5 (256K context) on 64GB dual-GPU. Grammar checkpoint cap ~10K tokens (latency guard); voice pass sends whole document.
- **Reasoning models**: the Ollama client sends `"think": false` on every request. Qwen 3.5 is a reasoning model — left on, it streams chain-of-thought into a separate `thinking` field and exhausts `num_predict` before emitting any answer in `content` (empty response). Non-thinking models ignore the flag. (Validated on deployment hardware 2026-06-25.)
- **Suggestion anchoring**: resolve by `original` string in ProseMirror coords at render time; stored `from_pos`/`to_pos` are plaintext offsets for server-side use only. (Spec Note #6.) - **Suggestion anchoring**: resolve by `original` string in ProseMirror coords at render time; stored `from_pos`/`to_pos` are plaintext offsets for server-side use only. (Spec Note #6.)
- **Aesthetic is an acceptance criterion**: pretty, warm, Chinese-woman-friendly; CJK fonts first-class. - **Aesthetic is an acceptance criterion**: pretty, warm, Chinese-woman-friendly; CJK fonts first-class.
@@ -21,52 +22,143 @@ Multi-session build. **Source of truth for what's done and what's next.** Update
- [x] Dev workflow documented in README; `.env.example` added - [x] Dev workflow documented in README; `.env.example` added
- [x] Verified end-to-end: binary serves `/api/health` + embedded SPA + SPA fallback - [x] Verified end-to-end: binary serves `/api/health` + embedded SPA + SPA fallback
### Phase 1 — Data layer ### Phase 1 — Data layer
- [ ] SQLite (modernc) init + migrations (`internal/db/db.go`) - [x] SQLite (modernc) init + migrations (`internal/db/db.go`) — versioned `schema_migrations` runner, WAL + foreign keys, single writer conn
- [ ] Models: User, Document, Suggestion (`internal/db/models.go`) - [x] Models: User, Document, Suggestion (`internal/db/models.go`) — + type/status constants
- [ ] Seed hardcoded `local` user - [x] Seed hardcoded `local` user (idempotent on startup)
- [ ] Schema includes `voice` in suggestions type CHECK - [x] Schema includes `voice` in suggestions type CHECK (full spec schema incl. plagiarism_reports, to avoid a later migration)
- [x] `db.Open` wired into `cmd/server/main.go`; `db_test.go` covers migrate/seed idempotency, CHECK constraint, FK cascade
### Phase 2 — Document CRUD + auto-save ← first "it works" milestone ### Phase 2 — Document CRUD + auto-save ← first "it works" milestone
- [ ] Doc handlers: list/create/get/update/delete (`internal/docs/handlers.go`) - [x] Doc handlers: list/create/get/update/delete (`internal/docs/handlers.go`) — chi sub-router mounted at `/api/docs`, all scoped to `local` user, partial-update via COALESCE so rename and full save share one PUT; `handlers_test.go` covers the lifecycle
- [ ] Frontend DocList sidebar (create/rename/delete) - [x] Frontend DocList sidebar (create/rename/delete)`DocList`/`DocListItem`, optimistic title/word-count patching
- [ ] Tiptap EditorCore (StarterKit, Underline, TextAlign, Placeholder, CharacterCount) - [x] Tiptap EditorCore (StarterKit, Underline, TextAlign, Placeholder, CharacterCount) + inline `Toolbar` (B/I/U, H1/H2, bullets, align)
- [ ] `useAutoSave` (1.5s debounce) → PUT /api/docs/:id - [x] `useAutoSave` (1.5s debounce) → PUT /api/docs/:id, with `saveNow()` flush before doc switch/create
- [ ] StatusBar: word count + save status - [x] StatusBar: word count + save status (Editing→Saving→Saved, fades after 3s)
- [ ] Keep `content` (Tiptap JSON) and `content_text` (plain) in sync on save - [x] Keep `content` (Tiptap JSON) and `content_text` (plain) in sync on save — editor emits both + word_count together
### Phase 3 — LLM grammar checkpoint ### Phase 3 — LLM grammar checkpoint
- [ ] `LLMClient` interface + factory (`internal/llm/client.go`) - [x] `LLMClient` interface + factory (`internal/llm/client.go`) — chat-model fallback in factory; doc/history truncation helpers
- [ ] `vllm.go` (OpenAI-compat), `ollama.go` (native) — both behind interface - [x] `vllm.go` (OpenAI-compat), `ollama.go` (native) — both behind interface; Complete + Stream; no client-level timeout (ctx deadline for Complete, open stream for SSE)
- [ ] `checkpoint.go` (30s/doc rate limit), `prompts.go` - [x] `checkpoint.go` (30s/doc `RateLimiter`), `prompts.go` — brace-matched JSON salvage from model output, empty-original drop, type normalization
- [ ] `POST /api/docs/:id/check` - [x] `POST /api/docs/:id/check` (+ `GET /api/docs/:id/suggestions`, `POST /api/suggestions/:id/{accept,dismiss}`) in `internal/suggestions`; replaces pending set per check, leaves accepted/rejected as history; throttled checks return current set
- [ ] `useCheckpoint` (4s debounce) + checkpoint indicator - [x] `useCheckpoint` (4s debounce) + breathing rose checkpoint dot in StatusBar
- [ ] SuggestionMark + SuggestionCard (accept/dismiss); **string-anchoring**, not stored pos - [x] `SuggestionHighlight` (ProseMirror **decorations**, re-anchored by `original` string on every doc change — not stored marks) + `SuggestionCard` (accept applies replacement in-editor then PATCHes; dismiss)
- [ ] Suggestion colors: grammar=mint, phrasing=peach, idiom=lavender, clarity=sky - [x] Suggestion colors: grammar=mint, phrasing=peach, idiom=lavender, clarity=sky (honey reserved for voice)
### Phase 4 — Ask Petal (conversational follow-up) ### Phase 4 — Ask Petal (conversational follow-up)
- [ ] `POST /api/suggestions/:id/chat` SSE streaming; server-side context injection - [x] `POST /api/suggestions/:id/chat` SSE streaming; server-side context injection`internal/suggestions/chat.go` loads the suggestion + parent doc in one user-scoped query, extracts the `\n\n`-bounded paragraph around `from_pos` (falls back to truncated doc when `from_pos == -1`), injects it via `AskPetalSystemPrompt`, streams `event: token`/`event: done` SSE frames (JSON-encoded data so token newlines don't break framing). LLM-unreachable returns a clean 502 before any SSE headers; unknown suggestion 404s.
- [ ] AskPetal component, token-by-token render, no persistence - [x] AskPetal component, token-by-token render, no persistence`AskPetal.tsx` holds the whole conversation in component state (cleared on close), pre-seeds Petal's first bubble with the suggestion explanation, streams via `streamSuggestionChat` (fetch + ReadableStream, not EventSource). `SuggestionCard` gains an "Ask Petal ✨" pill; the card pins open (hover-close suppressed, click-away to dismiss) while the panel is expanded.
- [ ] CJK font fallbacks on chat bubbles (spec Note #17) - [x] CJK font fallbacks on chat bubbles (spec Note #17) — bubbles + input use the `'Nunito','PingFang SC','Microsoft YaHei','Noto Sans CJK SC'` stack (the user asks in Mandarin); applied to the chat surface only, not the serif editor body.
- `internal/llm/chat.go`: `StreamAskPetal` (max_tokens 512, temp 0.7, rep 1.15, top_p 0.92, stop `\n\n\n`) reusing the existing `AskPetalSystemPrompt` + `TrimHistory`. Backend stays interface-only; the SSE handler never touches a concrete client.
### Phase 5 — Voice consistency pass (Tier 1) ### Phase 5 — Voice consistency pass (Tier 1)
- [ ] `POST /api/docs/:id/voice`, whole-document, slow cadence / explicit action - [x] `POST /api/docs/:id/voice`, whole-document (no `TruncateDoc`), explicit "Check my voice 🍯" toolbar action — `internal/llm/voice.go` (`RunVoice`, `VoiceInterval` 20s floor, MaxTokens 2048), `voiceSystemPrompt`/`VoiceMessages` in `prompts.go` (standalone — not bundled with the grammar checkpoint per spec)
- [ ] `voice` suggestion type, honey decoration (`--color-honey`) - [x] `voice` suggestion type, honey decoration — type already in schema/CSS; voice flags carry `replacement: null` → stored `""`, `SuggestionCard` hides the diff row + Accept (Dismiss only)
- [x] **Family-scoped pending sets**: grammar and voice are independent passes sharing the suggestions table. `replacePending` now scopes its DELETE by family (`pendingScope`: grammar = `type != 'voice'`, voice = `type = 'voice'`), so neither pass wipes the other's pending flags. Both `/check` and `/voice` return the **unified** pending set (grammar + voice) so the client never drops one family's highlights when the other refreshes (also fixes a latent throttle-vs-success inconsistency).
- [x] Frontend: `api.voiceDoc`, `useCheckpoint` gains `voicing`/`runVoice` (shares the run-token guard), `Toolbar` honey "Check my voice 🍯" pill (loading→"Reading…"), `StatusBar` breathing honey dot "Reading your voice…". `check`/`voice` collapsed into a shared `runPass` server-side.
- Tests: `TestVoicePassCoexists` (grammar+voice coexist, unified response, null→"" replacement, voice re-run scoped). go build/vet/test clean, tsc clean, vite build OK; live smoke vs a fake vLLM (voice anchored at 62, grammar preserved, unified list `[grammar, voice]`).
- **Known limitation (carried from Phase 3)**: `findRange` anchors within a single textblock, so a voice passage spanning a paragraph break (`\n\n`) won't decorate. Model passages usually sit within one paragraph; multi-block anchoring is deferred.
### Phase 6 — Design system & polish ### Phase 6 — Design system & polish
- [ ] Full pastel tokens, Nunito + Lora + JetBrains Mono - [x] Full pastel tokens, Nunito + Lora + JetBrains Mono`@theme` tokens + Google Fonts (landed in Phase 0, in use throughout)
- [ ] Shape language, shadows, transitions - [x] Shape language, shadows, transitions`--radius-*`, `--shadow-soft`, global `200ms ease` on interactive elements
- [ ] Signature animations (suggestion fade-float, accept confetti, breathing checkpoint dot) - [x] Signature animations (suggestion fade-float, accept confetti, breathing checkpoint dot) — fade-float + breathing dot already live; **accept confetti** added this phase: CSS-only 4-dot burst (`petal-confetti`/`@keyframes petal-confetti`, direction via `--dx`/`--dy` inline), spawned in `EditorCore.handleAccept` at the card position, auto-cleared after 720ms
- [ ] Distraction-free mode - [x] Distraction-free mode — entered on editor focus (`EditorCore` `onFocus``App.setFocusMode`), the doc-list sidebar slides left + collapses to 0 width (`.petal-sidebar`/`.petal-sidebar-hidden`, 280ms), editor canvas re-centers full-width. Restored by Escape or a pointer-down outside the centered canvas (gutters, header, status bar via `handleChromeDown` + `canvasRef` containment check)
- [x] **Companion mascot** (`web/src/components/Companion/`) — cozy corner mascot that reacts to the writing session. `useCompanion` is the library-agnostic behavior engine (cheers on accept/milestones, Mandarin-first writing tips, screen-break reminders after a long stretch, idle naps + welcome-back); `PetalCompanion` renders it + a CJK-first speech bubble (zh prominent, en subtitle — Note #17). Animation via `lottie-web/build/player/lottie_light` (offline, no eval/CDN) behind a `LottiePlayer` wrapper that **auto-crops the asset to its content bbox** (unions getBBox across 6 frames → square viewBox) so stock files with empty artboard padding fill the badge. **Selectable companions** (`companions.ts` roster): clicking the mascot opens a bilingual picker ("选个小伙伴 · Choose a companion") to switch between **瞌睡猫 Sleepy Cat** (`sleeping-cat.json`, `alwaysAsleep` → every mood maps to the sleeping loop, so she snoozes yet still mumbles tips/cheers — a deliberate gag) and **开心狗 Happy Dog** (`happy-dog.json`, awake/bouncy; naps via 😴 emoji). Choice persists in `localStorage` (`petal.companion`). Add a companion = drop a pure-vector Lottie JSON in `animations/` + append a `COMPANIONS` entry. `napping = companion.alwaysAsleep || mood === 'sleeping'` drives the sway/zzz. Each asset is auto-cropped to its content bbox by `LottiePlayer`. App feeds it `editTick`/`acceptTick` + `wordCount`/`saveStatus`. All copy bilingual in `tips.ts`. (`resolveJsonModule` enabled in tsconfig for the JSON import.)
### Phase 7 — Spell check ### Phase 7 — Spell check
- [ ] nspell browser-side (en-US), vendor dictionaries - [x] nspell browser-side (en-US), vendor dictionaries — Hunspell `en.aff`/`en.dic` (from `dictionary-en`, now a devDep) vendored into `web/public/dictionaries/en/` (+ upstream `LICENSE`); Vite copies them to `dist/`, the Go binary embeds them. ~550KB `.dic` stays out of the JS bundle, fetched as a static asset.
- [x] `useSpellChecker` hook (App-level, loads **once per session** not per doc) — `fetch`es aff+dic, builds an `nspell` instance, replays a personal word list from `localStorage` (`petal.spell.personal`); `addWord` persists + bumps a `version` so the checker's identity changes and consumers re-decorate. Exposes a minimal `SpellChecker` ({ `correct`, `suggest` }). Ambient types in `src/types/nspell.d.ts` (package ships none).
- [x] `SpellCheck` Tiptap extension — ProseMirror **decorations** (no stored marks, same as the AI-suggestion layer), recomputed on doc edit / caret move / checker swap. English-only tokenizer (`/[A-Za-z][A-Za-z']*/`) so **CJK is never tokenized → never flagged** (north-star: the user writes Mandarin + English); skips <2-char tokens and all-caps acronyms, trims edge apostrophes. Exempts the word under the caret (no jitter mid-typing). Reuses `mapOffset` (now exported from `SuggestionHighlight`) for atom-aware offset→PM-pos mapping. `wordAt(doc, pos)` resolves the exact span under a click (robust to duplicate misspellings).
- [x] `MisspellCard` popover + EditorCore wiring — soft **rose wavy underline** (`.petal-misspelling`, pastel take on the red squiggle, not classic red). Click a flagged word → `posAtCoords``wordAt` opens a bilingual card ("拼写 · Spelling") with up to 5 nspell corrections as pills (click to replace via `insertContentAt`) + "添加到词典 · Add to dictionary". Closes on outside-pointer-down, doc edit, or doc switch.
- Verified: tsc clean, vite build OK (dict in `dist/dictionaries/en/`), go build/vet clean; live server serves both dict files (200, 3086B aff / 551762B dic); nspell smoke (`helllo→hello`, `recieve→receive`, `写作` untokenized, `NASA` ok, `add()` persists).
### Phase 8 — Trust foundation (version history + export) ✅
- [x] **Version history**`document_versions` table (migration `0003`), full-body snapshots that cascade with the doc. Kinds: `auto` (throttled background, ≥3min apart, max 40/doc, pruned), `manual` (explicit restore point), `pre_restore` (safety copy taken before a restore, so restore is undoable). Snapshot taken post-save in `update` only when a real body came through and content changed (empties + bare renames never snapshot). Endpoints: `GET/POST /api/docs/:id/versions`, `GET /api/docs/:id/versions/:vid`, `POST /api/docs/:id/versions/:vid/restore`. All scoped to the owner via a join on `documents`. `versions_test.go` covers lifecycle/throttle/restore/pre_restore/404.
- [x] **Export** — pure-Go Tiptap-JSON → Markdown / HTML / plain-text / **docx** (`export.go`), no cgo/pandoc, CJK-safe. docx is a hand-built OOXML zip (marks→run props, headings→built-in styles, lists→prefix). RFC 5987 `filename*=UTF-8''` so Chinese titles download cleanly. `GET /api/docs/:id/export?format=`. **PDF is client-side** via the browser print dialog + a `@media print` stylesheet (uses the reader's fonts → CJK for free, no embedded-font bloat). `export_test.go` asserts every format incl. valid-zip docx with CJK.
- [x] **Frontend**`ExportMenu` (download links + Print/PDF) and `HistoryPanel` (slide-over drawer: snapshot list w/ relative-time + kind badge, preview, restore; restore remounts the editor via an `editorEpoch` bump). Both bilingual zh-first, matching chrome. Wired into the title row; `.petal-no-print` strips all chrome for print.
- [x] **Stop saving empty docs** — blank `Untitled` drafts now self-discard: `handleCreate` reuses an existing blank instead of stacking another; `openDoc` deletes the blank doc being left. Cleaned the 2 existing orphan empties from the live DB. (Backend also refuses to snapshot empties.)
- Verified: go build/vet/test + tsc + vite all clean; live smoke on a throwaway binary — auto-snapshot on save, throttle holds at 1, manual snapshot, restore brings back exact text + leaves a `pre_restore`, empty doc → no snapshot, md/docx export with CJK+bold+heading+list, docx validates as "Microsoft Word 2007+".
### Phase 9 — ESL superpowers ✅
- [x] **Inline Chinese gloss (offline)** — embedded English→Chinese dictionary (`internal/lexicon/data/gloss.json.gz`, ~1.3MB, 57k common words built from ECDICT via `scripts/build_gloss.py`: frequency-gated to rank ≤50k, `[网络]`/slang/archaic sense-lines dropped, trimmed to ≤3 senses / 80 chars). `Lexicon` gains a `gloss` map + `Gloss(word)` (same `candidates()` de-inflection as defs/syns); `Result` gains a `Gloss` field. Two surfaces: the right-click **WordCard** now leads with the 中文 gloss, and a new lightweight `GET /api/gloss/{word}` (→ `{word, gloss}`, cached) backs the **hover tooltip**. Offline + instant, works with the LLM down (north-star reliability). Frontend: `GlossTip` (dark pointer-events-none bubble under the resting word; 350ms hover delay; reuses `wordAt` so CJK is never glossed — it's the source language), wired into `EditorCore`'s `onMouseMove`/`onMouseLeave` with a request-token guard, suppressed during selection/preview/other popovers.
- [x] **"Say it more naturally" / tone-rewrite** — selecting text pops a `SelectionBubble` (✨更自然 + the tone vocabulary 学术/专业/轻松/幽默/创意/说服, mirrored from `ToneSelect`/`styleGuidance`). Picking a style calls `POST /api/docs/:id/rewrite` (`{text, style}``{rewrite}`), shown in a `RewritePreview` (original struck-through → rewrite, 用这个/取消, breathing-dot loading, gentle retry on failure). Accept applies it in-editor via `insertContentAt` over the captured PM range. Backend: `llm.RunRewrite` (one-shot Complete, `RewriteMaxRunes` 2000 cap, `cleanRewrite` strips stray wrapping quotes) + `rewriteSystemTemplate`/`styleGuidance` in `prompts.go`; handler in `internal/suggestions/rewrite.go` (owner-scoped 404, 400 on empty/too-long, 502 on LLM-down). **Stateless** — not persisted as a suggestion; the version history captures the resulting doc change.
- Tests: `lexicon` gloss + Lookup-includes-gloss + inflection/miss; `suggestions` rewrite happy-path (style steering + de-quote asserted), empty→400, unknown-doc→404. go build/vet/test clean, tsc clean, vite build OK. Live smoke vs a fake vLLM (fresh port 8055, throwaway DB; pre-existing dev servers on :8077/:8099 untouched): gloss for `river`/inflected/CJK-empty/nonsense-empty, `word/happy` carries the gloss, rewrite returns text, empty→400, unknown→404, LLM-down→502; new CSS classes present in the built bundle.
- **Known limitation**: `Gloss` tries the literal form first (matching defs/syns ordering), so an inflected word that is *itself* a separate ECDICT headword resolves to that entry rather than de-inflecting (e.g. `rivers` → the proper-noun "Rivers" sense, not `river`). The base form always glosses correctly; acceptable.
### Phase 10 — Organization & polish ✅
- [x] **Cross-document search (FTS5)** — migration `0004` adds a `documents_fts` virtual table over `title` + `content_text` using the **`trigram` tokenizer** (so search works for both English and space-free Chinese; the default unicode61 tokenizer treats a CJK run as one token). Kept in sync by `AFTER INSERT/UPDATE/DELETE` triggers on `documents`, back-filled from existing rows in the migration (verified: pre-existing docs are searchable immediately). `GET /api/search?q=` (`internal/docs/search.go`): queries of ≥3 runes use the FTS index (fast, `ORDER BY rank`); shorter queries fall back to a `LIKE` scan so **2-character Chinese words** (e.g. 公园) still resolve. Snippets are built in **Go** from the original text (clean word boundaries, rune-aware so CJK never splits mid-char), with the match wrapped in `\x01…\x02` sentinels; the client splits on these to highlight without `innerHTML`. Owner-scoped, capped at 50 hits. Frontend `SearchBox` in the sidebar: 220ms-debounced, results with highlighted two-line snippets, click to open.
- [x] **Tags (organize)** — migration `0004` adds `tags` (user-scoped, `UNIQUE(user_id, name)`, `color` = palette key) + `document_tags` join (both sides cascade). `internal/docs/tags.go`: `GET/POST/PATCH/DELETE /api/tags` (create is **idempotent** on name; unknown colors coerced to rose) + `POST /api/docs/:id/tags` / `DELETE /api/docs/:id/tags/:tagId` (owner-validated, idempotent assign). The doc-list and search responses carry each doc's tags (loaded in one `tagsByDoc` query, no N+1). Frontend: `useTags` (roster + counts), `TagChip`, `TagPicker` (assign existing / create-and-attach with a color swatch), tag chips on each doc row, a **filter bar** (client-side filter by tag, shows in-use tags with counts). Colors map to the existing design tokens via `tagColorVar`.
- [x] **Tablet / touch polish** — responsive sidebar: below 768px it becomes an overlay **drawer** toggled by a header hamburger, with a scrim (auto-closes on doc select). `@media (pointer: coarse)` enlarges tap targets (`.petal-tap` ≥44px, `.petal-tap-sm` ≥36px) and reveals the hover-only row actions (tag/delete). **Tap-to-open** for AI-suggestion cards (no hover on touch): a tap on a `.petal-suggestion` opens its card via the editor click handler, and a `pointerdown` outside the card/highlight dismisses it (mouse users keep the hover bridge).
- [x] **Warm LLM-down failure states**`useCheckpoint` now tracks an `llmDown` flag (set when a check/voice pass hits the server's 502/network path, cleared on the next success or doc switch). The `StatusBar` shows a gentle bilingual note — 🌙 **小助手在休息 · Petal's helper is resting · 文字已保存** — reassuring that the writing still saved locally (saving is independent of the LLM). Rewrite already had a gentle retry from Phase 9.
- Tests: `tags_test.go` (full lifecycle — create/idempotent/color-coerce/rename-recolor/assign/unassign/doc-list inclusion/roster counts/delete-cascade/404s), `search_test.go` (EN FTS, CJK FTS, 2-char CJK LIKE fallback, title-only, case-insensitive, empty/no-match, **edit re-indexes via the update trigger**). go build/vet/test clean, tsc clean, vite build OK. Live smoke vs the binary on a throwaway DB (port 8061, LLM pointed at a dead host): search EN/CJK/2-char all highlighted, tag create+assign+roster-counts+doc-list-tags+delete-cascade, check→502 (warm path), new CSS classes (`petal-tag-chip`/`petal-scrim`/`petal-drawer-open`/`pointer:coarse`) and the 小助手在休息 string present in the served bundle. FTS backfill of pre-existing docs verified separately.
- **Known limitations**: trigram FTS snippets/ranking treat the query as a contiguous phrase (multi-term relevance is substring, not BM25-per-term) — fine for a personal corpus. Search is title+body only (not tag names). Hover gloss and right-click word lookup remain pointer-oriented (long-press contextmenu on touch is browser-dependent); the spelling/suggestion cards and rewrite bubble are fully touch-reachable.
### Phase 11 — Writer power-ups ✅
- [x] **In-document Find & Replace (Ctrl/Cmd+F)**`SearchHighlight` ProseMirror extension (decorations, not marks — same anchoring discipline as the suggestion/spell layers; matches recomputed per-textblock on every edit, never stranded). `FindReplace` bar (bilingual zh-first): live match highlighting, ↑/↓ step-through with no-selection DOM scroll-into-view (so it never pops the rewrite bubble), match-case toggle, replace / replace-all (replace-all applies back-to-front so earlier edits don't shift later positions). Honey wash on all matches, rose ring on the active one.
- [x] **Read-aloud / TTS** (`web/src/audio/speech.ts`) — Web Speech API, offline, feature-detected. 🔊 in the `WordCard` (pronounce the word) and the selection bubble (read the selection). Pairs with the phonetic line.
- [x] **Keyboard + touch access to the ESL helpers** — refactored the right-click word-lookup into a position-based `openWordLookup(pos)`; now also driven by **Ctrl/Cmd+D** (look up the word at the caret) and a **touch long-press** (~500ms, the touch equivalent of right-click). **Ctrl/Cmd+J** rewrites the selection more naturally. (Closes the "pointer-only" limitation noted in Phase 10.)
- [x] **Whole-corpus backup**`GET /api/docs/export-all?format=md|docx|…` zips every doc (reuses the per-doc renderers; de-duplicates same-titled filenames; dated `petal-backup-YYYY-MM-DD.zip`). Static route takes priority over `/{id}` in chi — covered by `TestExportAll`. Sidebar footer "备份 · Back up all: Word / Markdown" download links.
- [x] **Smart typography** (`Typography.ts`) — dependency-free input rules: curly quotes, em-dash (`--`), ellipsis (`...`). ASCII-only triggers so CJK fullwidth punctuation is untouched; every rule is plain-Undo-able.
- [x] **Org niceties** — duplicate-a-document (App `handleDuplicate` → "… (副本)", copies body/tone, not tags), sidebar **sort** (Recent / Title / Longest), and a **document outline** popover in the toolbar (headings → click to scroll, indented by level).
- [x] **English phonetic (pivot from pinyin)** — for a native-Mandarin English learner the useful pronunciation aid is the English IPA, not pinyin (she reads Chinese fluently). `scripts/build_phonetic.py` extracts ECDICT's `phonetic` column (same source/freq-gate as the gloss); `phonetic.json.gz` embedded + lazily loaded; `Result.Phonetic` resolved via the same de-inflecting candidate walk; shown as `/ˈrɪvər/` in the WordCard. **Full dataset built from ECDICT: 46,579 words (361KB gz)**, in line with the other lexicon assets. The script also has a `--seed` mode (71 curated common words) that ships as a fallback / works without the csv. Curated seed entries (clean IPA) override the ECDICT form where both exist.
- Verified: go build/vet/test (incl. new `TestExportAll`), tsc, vite build all clean; live smoke vs throwaway binaries — `/word/river|running|serendipity|rivers` all return phonetic (`rivers``river` de-inflected), export-all returns a valid 2-entry zip with de-duped CJK filenames + dated name, route doesn't collide with `/{id}`.
### Phase 12 — Collocation coach 🔜 (planned 2026-06-26)
**Why:** ESL writers nail grammar but miss *which words go together* — "do a decision" → "make a decision", "strong rain" → "heavy rain". These aren't *wrong*, so the grammar pass won't flag them; they're just non-native. Gentle "natives usually say…" hints are the single highest-leverage upgrade for making her writing sound native. **Build this first** — it's small and de-risks the migration-rebuild pattern Phase 13 also needs.
**Key insight:** the suggestion pipeline is already generic over a `pass` + a `pendingScope` "family" (`runPass` in `internal/suggestions/handlers.go`; grammar + voice already prove it). Collocation drops in as a **third family** and reuses the entire accept/dismiss/re-anchoring/rail/Mandarin-explanation machinery — no new frontend rendering layer.
- [ ] `internal/llm/collocation.go``CollocationInterval` (~25s) + `RunCollocation(...)`, reusing the existing `ParseCheckpoint` parser (same as `RunVoice`). No new parsing.
- [ ] `internal/llm/prompts.go``CollocationMessages(contentText, tone)`. **This prompt is the whole feature**: flag only non-wrong-but-non-native word pairings; explicitly defer real grammar errors to the grammar family; phrase every explanation as warm "natives usually say…" with a Mandarin gloss — never "error/wrong".
- [ ] `internal/db/models.go` + migration `0005` — new suggestion type `collocation`. ⚠️ The `type` column has a `CHECK(...)` and **SQLite can't `ALTER` a CHECK** → migration must **rebuild** the `suggestions` table (create new w/ extended CHECK, copy rows, drop, rename, recreate `idx_suggestions_doc_id`). Not a one-line ALTER.
- [ ] `internal/suggestions/handlers.go` — add `collocationScope` (`deleteWhere: "type = 'collocation'"`, `forceType: collocation`), a `CollocationLimit` on `Handler` (+ wire in `New`), register `POST /{id}/collocation`. Mirrors `voice`, ~15 lines. Also extend `normalizeType` to accept the new type.
- [ ] Frontend: `suggestionMeta.ts` collocation entry (💡 icon + its own warm color so cards read as friendly tips); `client.ts` `collocation(docId)`; a gentle trigger like the existing "Check my voice" pill — **"Make it sound natural 🌸"** — rendering straight into `SuggestionRail`/`SuggestionCard`.
- [ ] Verify via the millenia UI-test harness (real-browser editor check) + go/tsc/vite clean. **Est. ~½ day** (mostly the new prompt + the table-rebuild migration).
### Phase 13 — Vocabulary garden (spaced repetition) 🔜 (planned 2026-06-26)
**Why:** the lexicon (`internal/lexicon`) is a stateless static-dataset lookup — **nothing records which words she's looked up.** Capturing them turns passive lookups into real vocabulary, and the review surface ties straight into the "petal garden" delight idea (words become blossoms; the sleeping kitten naps among them). Build **after** Phase 12.
- [ ] New `internal/vocab` package + migration `0005`/`0006``vocab_words` table: `word, gloss, phonetic, example` (sentence captured at lookup for context), `doc_id`, + SM-2-lite scheduling: `due_at, interval_days, ease, reps, lapses, last_reviewed`; `UNIQUE(user_id, word)`.
- [ ] Auto-capture: when `WordCard` calls `lookupWord`, also fire `POST /api/vocab` (upsert; new word → `due_at = now + 1 day`). Looking words up *is* the data source — zero extra effort from her.
- [ ] Endpoints: `POST /api/vocab` (record/upsert), `GET /api/vocab/due` (cards due now), `POST /api/vocab/{id}/review` (grade again/good/easy → reschedule), `GET /api/vocab` (full garden), `DELETE /api/vocab/{id}`.
- [ ] SR scheduler: gentle SM-2-lite / Leitner intervals (1d → 3d → 7d → 16d → 35d). No streak-shaming. This is the only genuinely new logic.
- [ ] Frontend Garden panel (sibling to `HistoryPanel`/`DocList`): each learned word a blossom, more reps → more bloomed; the `PetalCompanion` kitten naps among them. Flashcard review: captured sentence with the word blanked → recall → EN↔中文 flip → again/good/easy (direction flips for recognition *and* production). A 🤍 "save to garden" on `WordCard` for explicit saves alongside auto-capture.
- [ ] Verify via the millenia UI-test harness + go/tsc/vite clean. **Est. ~1½2 days** (new package + table + panel/review UI; reuses existing panel/companion patterns).
### Phase 14 — Companion warmth + bedtime nag + night mode ✅
**Why:** the companion kitten is the heart of Petal's "built for her" feel. Three additions: (1) a wider, fresher pool of **encouraging phrases** so cheers don't repeat as quickly; (2) when she's still writing **late at night (≥11pm)**, the kitten gently nags her to go to bed; (3) at the same hour the whole app drifts into a calm **night mode** — dark moonlit theme + the falling petals become **falling stars**. Caring, never scolding — the sleepy-cat gag makes "you should be sleeping too 🐱💤" land perfectly. Self-contained, frontend-only.
- [x] `web/src/components/Companion/tips.ts``ENCOURAGEMENTS` grown from 5→10 bilingual zh-first lines so cheers rotate fresher. New `BEDTIME: Line[]` array — four warm/playful lines (user-supplied English wit: "I bet your bed is missing you right now", "A tired writer is a bad writer", "Sleep is a wondrous enabler", "Hear that? No… everyone is sleeping and you should be too") with gentle Mandarin leads.
- [x] `web/src/components/Companion/useCompanion.ts` — bedtime check folded into the existing 10s heartbeat (after the idle-return + break check, before the generic tip): `isBedtime()` = local hour ≥ 23 or < 4 (`new Date().getHours()`, the writer's machine clock). Only fires while actively writing (idle branch returns first). Own `lastBedtime` ref + `BEDTIME_GAP` 30min cooldown; respects `PROACTIVE_GAP`. New `BubbleTone` `'bedtime'` paces `readBubbleMs` (BUBBLE_MS + 4s lingers a touch longer for a wind-down read). Window knobs `BEDTIME_FROM`/`BEDTIME_TO` so the 11pm4am range is one edit to retune.
- [x] No tone-based bubble styling exists, so no CSS needed; the tone is metadata for pacing only. Sound stays the rotating pop.
- [x] **Night mode**`web/src/lib/night.ts` centralizes `isBedtime()` + the `BEDTIME_FROM`/`BEDTIME_TO` window (shared with the companion nag so they always agree). `web/src/hooks/useNightMode.ts` re-checks every 60s and toggles a `petal-night` class on `<html>`. `index.css` adds an `html.petal-night` block that **only re-points the palette tokens** (`--color-bg/surface/border/plum/muted/accent…`) to a dark moonlit set — every Tailwind color utility reads them via `var()`, so the whole UI flips with zero component changes (verified: `.text-plum{color:var(--color-plum)}`). Accent/type colors kept (they pop on dark); 600ms bg/color fade for a gentle dusk transition; print stays white (the `#fff` override is inside `@media print`).
- [x] **Falling stars**`PetalFall` gains a `night` prop. Particles are **chunky cartoon power stars** (`makeCartoonStar`, Mario/Kirby-style: fat 5-point shape, glossy radial fill, puffy round-join colored outline, corner shine + soft glow halo so they pop off the dark sky) in 5 candy colors (`CARTOON_COLORS`), mixed ~70/30 with small four-point twinkle sparkles (`makeStarSprite`/`STAR_PALETTE`) for depth. Every star clearly **spins** (random direction, ~0.52.2 rad/s so the quick ones really whirl while slow ones drift for contrast; guaranteed min speed since a 5-point star is symmetric every 72°), **falls straight down** (no sway — that's a petal thing), and shimmers via a shallow alpha pulse (not blink). Effect re-inits on the day↔night flip. App wires `const night = useNightMode()``<PetalFall night={night} />`. All sprites are canvas-drawn (offline, no asset files) — `sprites[]` is an image array, so a real PNG/SVG star could drop in later without restructuring.
- [x] Verified: tsc clean, vite build OK, companion vitest 45/45. **Real-browser screenshots** (local Playwright + Chromium, clock mocked to 23:30): day = warm cream + pink sakura petals; night = dark plum-indigo + twinkling stars + glowing sleepy kitten. Both pretty (acceptance criterion).
### Deferred (post-v1-local) ### Deferred (post-v1-local)
- [ ] Authentik OIDC auth + session middleware - [ ] Authentik OIDC auth + session middleware**on hold: user doing foundational work first**
- [ ] Copyleaks Tier-2 + webhook HMAC - [ ] Copyleaks Tier-2 + webhook HMAC
- [ ] Dockerfile, docker-compose, Traefik, deploy to write.parodia.dev - [ ] Dockerfile, docker-compose, Traefik, deploy to write.parodia.dev
### Next-up (post-v1 product, agreed with user 2026-06-26)
- [x] **Phase 9 — ESL superpowers**: inline Chinese gloss on hover/select; "say it more naturally" / tone-rewrite. ✅ (see Phase 9 above)
- [x] **Phase 10 — organization & polish**: cross-doc search, tags, tablet/touch polish, warm LLM-down failure states. ✅ (see Phase 10 above; "tags only" chosen over folders, FTS5 over LIKE)
- [ ] **Phase 12 — collocation coach**: gentle "natives usually say…" hints for non-native word pairings, as a third suggestion family. 🔜 (see Phase 12 above; build first)
- [ ] **Phase 13 — vocabulary garden**: spaced-repetition review built from looked-up words, surfaced as a blooming garden. 🔜 (see Phase 13 above)
- [x] **Phase 14 — companion warmth + bedtime nag + night mode**: more encouraging phrases, a gentle "go to bed" nudge after 11pm, and a calm dark theme + falling stars at night. ✅ (see Phase 14 above)
## Session log ## Session log
- 2026-06-26: **Phase 14 complete** (companion warmth + bedtime nag + night mode). `tips.ts`: `ENCOURAGEMENTS` 5→10 lines; new `BEDTIME` array (4 lines, user-supplied English wit + gentle Mandarin leads). `useCompanion.ts`: bedtime branch in the 10s heartbeat (after idle-return + break, before the generic tip); only nudges while actively writing; own `lastBedtime` ref + 30min `BEDTIME_GAP`, respects `PROACTIVE_GAP`; new `'bedtime'` `BubbleTone` lingers ~4s longer. **Night mode** (added same session, user request): `lib/night.ts` centralizes `isBedtime()` + window (now shared by the nag too); `hooks/useNightMode.ts` toggles `petal-night` on `<html>` (60s re-check); `index.css` `html.petal-night` re-points only the palette tokens → whole UI flips via `var()` (no component edits), 600ms dusk fade, print stays white; `PetalFall` gains a `night` prop → chunky cartoon power stars (`makeCartoonStar`, Mario/Kirby-style, 5 candy colors) mixed ~70/30 with small twinkle sparkles, gentle spin + shallow shimmer, effect re-inits on flip; App: `useNightMode()``<PetalFall night={night}/>`. tsc + vite clean, companion vitest 45/45; verified with real-browser Playwright screenshots (clock mocked to 23:30) — day petals/cream vs night stars/dark-plum, both pretty. Bedtime window is `BEDTIME_FROM`/`BEDTIME_TO` (local clock) for easy retune.
- 2026-06-26: **Phase 11 complete** (writer power-ups, batch requested as "do it all"). Seven features: (1) in-doc **Find & Replace**`SearchHighlight` decoration extension + `FindReplace` bar (Ctrl/Cmd+F, match-case, replace-all back-to-front, DOM scroll that doesn't trigger the selection bubble); (2) **read-aloud** Web Speech util + 🔊 in WordCard & selection bubble; (3) **keyboard/touch access** — Ctrl/Cmd+D caret lookup, Ctrl/Cmd+J rewrite, touch long-press (refactored `handleContextMenu` → shared `openWordLookup(pos)`); (4) **export-all** backup zip (`GET /api/docs/export-all`, `TestExportAll`, sidebar download links); (5) **smart typography** input-rules extension (curly quotes/em-dash/ellipsis, ASCII-only so CJK untouched); (6) **duplicate doc + sidebar sort + outline popover**; (7) **English phonetic** (pivoted from pinyin — IPA is what an English learner needs; pinyin annotates Chinese she already reads) via `scripts/build_phonetic.py` + embedded `phonetic.json.gz` + `Result.Phonetic` + WordCard `/ˈrɪvər/` line — **full 46,579-word dataset built from ECDICT** (the csv re-download worked; `--seed` mode kept as a csv-free fallback). Also folded in this session: the **selection-bubble vs copy/paste fix** (bubble deferred to pointer-up + container `pointer-events:none` so it never sits where you click). go build/vet/test + tsc + vite all clean; live smoke verified word-phonetic (incl. de-inflection) + export-all zip (de-duped CJK names, route priority). Next: deferred bucket (auth/Copyleaks/deploy), still on hold per user.
- 2026-06-26: **Phase 10 complete** (organization & polish). Scope confirmed with user: all four areas, **tags** (not folders), **FTS5** search. Backend: migration `0004_tags_and_search` (tags + document_tags + `documents_fts` trigram virtual table with sync triggers + back-fill); `db.Tag` model + color constants; `internal/docs/tags.go` (tag CRUD + idempotent assignment + `tagsByDoc` helper, doc list now carries tags); `internal/docs/search.go` (`GET /api/search`, FTS for ≥3 runes + LIKE fallback for 1-2, Go-built sentinel-highlighted rune-aware snippets, owner-scoped). Mounted `/api/tags` + `/api/search` in main.go. Frontend: `useTags`, `TagChip`/`TagPicker`/`SearchBox`, rewritten `DocList`/`DocListItem` (chips + filter bar + search), `api.search`/tag methods + `splitSnippet`/`tagColorVar`; responsive sidebar drawer (hamburger + scrim, <768px) + `pointer:coarse` tap-target/affordance CSS; tap-to-open + outside-pointerdown-close for suggestion cards (touch); `useCheckpoint` `llmDown` flag → warm bilingual "小助手在休息" StatusBar note. Tests: `tags_test.go`, `search_test.go` (incl. update-trigger re-index). All builds/tests/vet/tsc/vite clean; live smoke vs binary on :8061 (dead LLM host) verified search EN/CJK/2-char, full tag lifecycle, check→502 warm path, bundle contents; FTS backfill of pre-existing docs verified. **All v1 phases (07) + post-v1 product (810) done.** Remaining: deferred bucket (auth/Copyleaks/deploy), on hold per user.
- 2026-06-26: **Phase 9 complete** (ESL superpowers: inline Chinese gloss + tone-rewrite). Decisions confirmed with user: gloss is an **offline EC dictionary** (instant, LLM-down-proof, fits the embedded-lexicon ethos), rewrite is a **selection bubble**. Data: `scripts/build_gloss.py` builds `internal/lexicon/data/gloss.json.gz` from ECDICT (66MB csv → 1.3MB gz, 57k freq-≤50k words, cleaned/trimmed). Backend: `lexicon` gloss map + `Gloss()`/`Result.Gloss` + `GET /api/gloss/{word}`; `llm.RunRewrite` + rewrite prompt/`styleGuidance`; `internal/suggestions/rewrite.go` (`POST /api/docs/:id/rewrite`, stateless, owner-scoped). Frontend: `GlossTip` hover tooltip (350ms delay, reuses `wordAt`, CJK-safe) + gloss line in `WordCard`; `SelectionBubble` + `RewritePreview` wired through `EditorCore` (onMouseMove/onSelectionUpdate, request-token guards, clears on edit/doc-switch); `api.glossWord`/`api.rewriteSelection`; CSS for the three new surfaces (+ print-hidden). Tests added in `lexicon` and `suggestions`. All builds/tests/vet/tsc/vite clean; live smoke vs fake vLLM on :8055 verified gloss + rewrite + 400/404/502 paths. Next: **Phase 10 (organization & polish).**
- 2026-06-26: **Phase 8 complete** (Trust foundation: version history + export) + empty-doc fix. Backend: migration `0003_document_versions`; `internal/docs/versions.go` (throttled auto-snapshot wired into `update`, manual snapshot, restore-with-pre_restore, prune to 40 auto, owner-scoped via join) and `internal/docs/export.go` (pure-Go Tiptap-JSON → md/html/txt/docx, no deps, CJK-safe filenames via RFC 5987). `DocumentVersion` model + kind constants. Tests: `versions_test.go`, `export_test.go` (incl. valid-zip docx assertion). Frontend: `api.client` version/export methods; `ExportMenu` + `HistoryPanel` components wired into the title row; `@media print` stylesheet + `.petal-no-print` for the browser PDF path; `editorEpoch` remount on restore. Empty-doc fix in `App.tsx` (blank drafts reuse-on-create + discard-on-leave via refs to dodge stale closures); deleted 2 orphan empties from the live :8099 DB. Multi-session plan agreed: this session = Phase 8; **Phase 9 (ESL gloss + tone-rewrite)** next, then **Phase 10 (search/folders/polish)**; **auth/deploy (was Phase 11) shelved** until user's foundational work lands. All builds/tests/vet clean; live smoke verified the full version+export+restore flow end-to-end. Next: **Phase 9.**
- 2026-06-25: Spec reviewed & amended (voice/grammar decoupled, ctx cap, routes, voice DB type, honey color, string-anchoring). Build plan created. - 2026-06-25: Spec reviewed & amended (voice/grammar decoupled, ctx cap, routes, voice DB type, honey color, string-anchoring). Build plan created.
- 2026-06-25: **Phase 0 complete.** Go module + chi server, config loader, React/Vite/Tailwind-v4 scaffold with full design tokens, frontend embedded & served by the binary, verified end-to-end. Toolchain: Go 1.24.4, Node 22, npm 10. Next: **Phase 1 (data layer)** — SQLite via modernc, models, seed `local` user. - 2026-06-25: **Phase 0 complete.** Go module + chi server, config loader, React/Vite/Tailwind-v4 scaffold with full design tokens, frontend embedded & served by the binary, verified end-to-end. Toolchain: Go 1.24.4, Node 22, npm 10. Next: **Phase 1 (data layer)** — SQLite via modernc, models, seed `local` user.
- 2026-06-25: **Phase 1 complete.** `internal/db` package: modernc.org/sqlite (pulled go toolchain → 1.25), `Open()` does mkdir + WAL/foreign-keys DSN + versioned migration runner + idempotent local-user seed. Models with type/status constants. Wired into `main.go`; tests pass (migrate/seed idempotency, CHECK reject, FK cascade). Verified server boots and writes `petal.db`. Next: **Phase 2 (document CRUD + auto-save)** — first "it works" milestone.
- 2026-06-25: **Phase 2 complete.** Backend `internal/docs`: chi sub-router (list/create/get/update/delete) mounted at `/api/docs`, local-user scoped, RETURNING on create, COALESCE partial-update (one PUT serves rename + full save), 404/400 JSON errors; `handlers_test.go` walks the full lifecycle. Frontend: `api/client.ts`, `useAutoSave` (1.5s debounce + `saveNow` flush), `EditorCore` (Tiptap StarterKit/Underline/TextAlign/Placeholder/CharacterCount) + `Toolbar`, `DocList`/`DocListItem`, `StatusBar`, rewritten `App.tsx` orchestrating load/select/create/delete with optimistic sidebar patching. `.petal-prose` styles (Lora body, Nunito headings). tsc clean, vite build OK, go build OK; smoke-tested full CRUD incl. CJK title round-trip + SPA serve. Next: **Phase 3 (LLM grammar checkpoint).**
- 2026-06-25: **Phase 3 complete.** Backend `internal/llm`: `LLMClient` interface + factory (vLLM OpenAI-compat + Ollama native, both Complete/Stream), `prompts.go` (checkpoint + Ask Petal templates), `checkpoint.go` (brace-matched JSON salvage, per-doc 30s `RateLimiter`, doc/history truncation). `internal/suggestions`: `/api/docs/:id/check` + `:id/suggestions` + `/api/suggestions/:id/{accept,dismiss}`; each check replaces the pending set in a tx (accepted/rejected kept as history), throttled checks return the current set, positions located by `strings.Index` (advisory only). Frontend: `useCheckpoint` (4s debounce, loads existing on doc open, run-token guards stale responses), `SuggestionHighlight` Tiptap extension rendering ProseMirror **decorations** re-anchored by `original` string on every doc change (precise textblock offset→PM-pos mapping, handles inline atoms), `SuggestionCard` (type-colored tag, original→replacement diff, accept applies replacement in-editor + PATCHes, hover-bridge with close delay), breathing rose checkpoint dot in StatusBar, suggestion fade-float + breathe CSS. Tests: llm parse/rate-limit/truncate, suggestions full flow + rate-limit over httptest with a stub client. go build/vet/test clean, tsc clean, vite build OK; end-to-end smoke-tested against a fake vLLM endpoint (anchoring verified: `I has`→0:5, `two apple`→6:15) and 502 path when LLM unreachable. Next: **Phase 4 (Ask Petal SSE chat).**
- 2026-06-25: **Phase 5 complete.** Tier-1 voice-consistency pass. Backend: `internal/llm/voice.go` (`RunVoice` — whole document, no `TruncateDoc`, MaxTokens 2048, `VoiceInterval` 20s per-doc floor), standalone `voiceSystemPrompt`/`VoiceMessages` (not bundled with the grammar checkpoint). `internal/suggestions`: `POST /api/docs/:id/voice` route; `check`/`voice` collapsed into a shared `runPass(limiter, pass, scope)`; `pendingScope` makes `replacePending` family-aware (grammar deletes `type != 'voice'`, voice deletes `type = 'voice'`), so the two passes never clobber each other's pending flags; both endpoints now return the **unified** pending set (also fixed a latent throttle-returns-full-set vs success-returns-batch inconsistency). Frontend: `api.voiceDoc`, `useCheckpoint``voicing`/`runVoice` (shared run-token guard, reset on doc switch), honey "Check my voice 🍯" pill in `Toolbar` (→ "Reading…" while in flight), breathing honey dot + "Reading your voice…" in `StatusBar`. Voice flags' `replacement: null` round-trips to `""`; `SuggestionCard` already hides the diff row + Accept for those. Tests: `TestVoicePassCoexists` (coexistence both directions, unified response, null→"" replacement). go build/vet/test clean, tsc clean, vite build OK. Live smoke vs a fake vLLM: grammar check → grammar flag; voice pass → unified `[grammar@0, voice@62 (empty replacement)]`, grammar preserved. Known limitation: `findRange` is single-textblock, so a voice passage crossing a `\n\n` paragraph break won't decorate (deferred). Next: **Phase 6 (design system & polish).**
- 2026-06-25: **Companion kitten added** (Phase 6 extra, per user request). A cozy corner mascot that gives feedback and gentle nudges. `web/src/components/Companion/`: `useCompanion` (behavior engine — cheer on accept/word-count milestones, Mandarin-first writing tips on a paced timer, screen-break reminder after ~25min continuous writing, idle nap after ~75s + welcome-back; priority/cooldown so it never nags), `tips.ts` (all copy bilingual, zh-first), `LottiePlayer` (wraps `lottie-web` **light** build — offline, no eval/CDN fetch, so it bundles into the Go binary), `PetalCompanion` (kitten + CJK-first speech bubble). **Ships working today with an emoji-kitten placeholder** (😺/😻/😴 per mood, CSS bob/nap/zzz); dropping a Lottie cat JSON into `animations/index.ts` is the only change to upgrade to real animation. Library decision: Lottie via `lottie-web` (not the React wrapper → no React 19 peer-dep friction; not dotLottie → no runtime CDN/wasm, stays offline-embeddable). App wires `editTick`/`acceptTick`/`wordCount`/`saveStatus`. tsc clean, vite build OK (light build trimmed ~34KB gzip vs full + removed eval warning), go build/vet/test clean. Verified headless: greeting bubble on load (“嗨~我在这儿陪你写作哦” + EN subtitle), heart-eyes celebrate + “我很喜欢这个改法 💕” on accept. **TODO (user):** source a Lottie cat asset to replace the emoji placeholder.
- 2026-06-25: **Phase 6 complete.** Design system & polish. Tokens/fonts/shape/transitions were already in place from Phase 0; this phase added the two missing signature pieces. **Accept confetti**: CSS-only burst (`.petal-confetti-dot` + `@keyframes petal-confetti`, each dot's trajectory from inline `--dx`/`--dy`), a `Confetti` component in `EditorCore` spawned at the accepted card's position on `handleAccept` and cleared after 720ms (timer cleaned up on unmount). **Distraction-free mode**: `EditorCore` gains an `onFocus``App` `focusMode` state; the doc-list sidebar is wrapped in `.petal-sidebar` and collapses via `.petal-sidebar-hidden` (width→0 + translateX + fade, 280ms) while the centered editor canvas re-centers into the full pane; restored by Escape (window keydown) or a pointer-down outside the canvas (`handleChromeDown` checks `canvasRef` containment; wired on the header, the editor scroll-gutter, and the status bar). tsc clean, vite build OK, go build/vet/test clean; binary boots and serves the rebuilt SPA with the new CSS embedded (confetti + sidebar-collapse classes verified in the served bundle). Next: **Phase 7 (browser-side spell check, nspell en-US).**
- 2026-06-25: **Phase 7 complete.** Browser-side spell check (nspell, en-US). Vendored Hunspell `en.aff`/`en.dic``web/public/dictionaries/en/` (`dictionary-en` moved to devDep; dict served as a static asset + embedded in the binary, kept out of the JS bundle). `useSpellChecker` (App-level, loads once/session) builds the nspell instance, replays a `localStorage` personal word list, `addWord` persists + bumps a version to re-decorate; `src/types/nspell.d.ts` supplies the missing types. `SpellCheck` extension renders misspellings as ProseMirror decorations (Latin-only tokenizer ⇒ CJK never flagged; skips short tokens/acronyms; exempts the caret word; reuses exported `mapOffset`; `wordAt` for click→span). `MisspellCard`: rose wavy underline, bilingual card with correction pills + add-to-dictionary. tsc/vite/go all clean; live server serves both dict files; nspell behavior smoke-tested. **All v1 phases (07) done.** Remaining work is the deferred post-v1 bucket (auth, Copyleaks, deploy). Next: per user — Chinese spell check is out of scope for nspell (en-only); see discussion.
- 2026-06-25: **Phase 4 complete.** Backend: `internal/llm/chat.go` (`StreamAskPetal` — conversational sampling params, reuses `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` with whole-doc fallback, streams `event: token`/`event: done` SSE frames with JSON-encoded data, `X-Accel-Buffering: no`, real `http.Flusher` per chunk; LLM-down → 502 before SSE headers, unknown id → 404). Handler imports the interface only. Frontend: `streamSuggestionChat` (fetch + ReadableStream SSE parser, abortable), `AskPetal.tsx` (in-component history — no persistence, pre-seeded first bubble, rose/lavender bubbles, CJK font stack per Note #17, streaming caret), `SuggestionCard` "Ask Petal ✨" pill that pins the card open (hover-close suppressed, click-away closes) and widens it to 340px. Tests: `chat_test.go` (streamed-text concat + done event, server-side context injection asserted on the system message, sampling params, 404, `surroundingParagraph` unit). go build/vet/test clean, tsc clean, vite build OK. Live SSE smoke test against a fake streaming vLLM (fresh ports 8077/8088 — a pre-existing dev petal on :8099 left untouched): tokens flushed individually through the chi middleware stack, `done` terminator, 502 on LLM-down, 404 on unknown suggestion all verified. Next: **Phase 5 (voice consistency pass, Tier 1).**

View File

@@ -1,6 +1,8 @@
package main package main
import ( import (
"crypto/sha256"
"encoding/hex"
"errors" "errors"
"io/fs" "io/fs"
"log" "log"
@@ -11,23 +13,90 @@ import (
"github.com/go-chi/chi/v5/middleware" "github.com/go-chi/chi/v5/middleware"
"gitea.parodia.dev/drwily/petal/internal/config" "gitea.parodia.dev/drwily/petal/internal/config"
"gitea.parodia.dev/drwily/petal/internal/db"
"gitea.parodia.dev/drwily/petal/internal/docs"
"gitea.parodia.dev/drwily/petal/internal/images"
"gitea.parodia.dev/drwily/petal/internal/lexicon"
"gitea.parodia.dev/drwily/petal/internal/llm"
"gitea.parodia.dev/drwily/petal/internal/suggestions"
"gitea.parodia.dev/drwily/petal/internal/tts"
"gitea.parodia.dev/drwily/petal/web" "gitea.parodia.dev/drwily/petal/web"
) )
func main() { func main() {
cfg := config.Load() cfg := config.Load()
database, err := db.Open(cfg.DatabasePath)
if err != nil {
log.Fatalf("database: %v", err)
}
defer database.Close()
log.Printf("database ready at %s", cfg.DatabasePath)
r := chi.NewRouter() r := chi.NewRouter()
r.Use(middleware.RequestID) r.Use(middleware.RequestID)
r.Use(middleware.RealIP) r.Use(middleware.RealIP)
r.Use(middleware.Logger) r.Use(middleware.Logger)
r.Use(middleware.Recoverer) r.Use(middleware.Recoverer)
// Build version: a hash of the embedded SPA shell. Vite rewrites index.html
// with content-hashed asset names on every build, so this string changes
// exactly when a new frontend is deployed — the client polls it to know when
// to offer a refresh.
version := buildVersion()
log.Printf("frontend build version %s", version)
r.Route("/api", func(api chi.Router) { r.Route("/api", func(api chi.Router) {
api.Get("/health", func(w http.ResponseWriter, _ *http.Request) { api.Get("/health", func(w http.ResponseWriter, _ *http.Request) {
w.Header().Set("Content-Type", "application/json") w.Header().Set("Content-Type", "application/json")
_, _ = w.Write([]byte(`{"status":"ok"}`)) _, _ = w.Write([]byte(`{"status":"ok"}`))
}) })
api.Get("/version", func(w http.ResponseWriter, _ *http.Request) {
w.Header().Set("Content-Type", "application/json")
// Never cache: a stale cached version would defeat the whole check.
w.Header().Set("Cache-Control", "no-store")
_, _ = w.Write([]byte(`{"version":"` + version + `"}`))
})
llmClient := llm.NewLLMClient(cfg)
sug := suggestions.New(database, llmClient)
// Document CRUD plus the doc-scoped checkpoint/list suggestion routes,
// both under /api/docs.
docsHandler := docs.New(database)
docsRouter := docsHandler.Routes()
sug.RegisterDocRoutes(docsRouter)
api.Mount("/docs", docsRouter)
// Tag management (the roster) and cross-document full-text search.
api.Mount("/tags", docsHandler.TagRoutes())
api.Mount("/search", docsHandler.SearchRoutes())
// Per-suggestion actions (accept/dismiss) under /api/suggestions.
api.Mount("/suggestions", sug.Routes())
// Offline lexicon: full word lookups (gloss + definition + synonyms) for
// the right-click popover, and the lightweight Chinese-only gloss for the
// inline hover/select tooltip. One handler so the datasets load once.
lex := lexicon.NewHandler()
api.Mount("/word", lex.Routes())
api.Mount("/gloss", lex.GlossRoutes())
// Editor image uploads, stored on disk and served back by content hash.
imgHandler, err := images.New(cfg.ImageDir)
if err != nil {
log.Fatalf("image store: %v", err)
}
api.Mount("/images", imgHandler.Routes())
// Read-aloud: proxy short passages to a local Piper TTS server. Only
// mounted when TTS_ENDPOINT is configured; otherwise the frontend falls
// back to the browser's Web Speech API on its own.
if ttsHandler, ok := tts.New(cfg); ok {
api.Mount("/tts", ttsHandler.Routes())
log.Printf("read-aloud enabled (TTS endpoint=%s)", cfg.TTSEndpoint)
}
}) })
// Everything else: serve the embedded SPA (with index.html fallback for client routing). // Everything else: serve the embedded SPA (with index.html fallback for client routing).
@@ -40,6 +109,19 @@ func main() {
} }
} }
// buildVersion derives a short, stable identifier for the currently embedded
// frontend by hashing dist/index.html. Vite stamps content-hashed asset names
// into that file each build, so the digest is a reliable "did the deploy
// change?" signal. Falls back to "dev" when the frontend hasn't been built.
func buildVersion() string {
data, err := fs.ReadFile(web.DistFS, "dist/index.html")
if err != nil {
return "dev"
}
sum := sha256.Sum256(data)
return hex.EncodeToString(sum[:])[:12]
}
// spaHandler serves the embedded web/dist as a single-page app: static files // spaHandler serves the embedded web/dist as a single-page app: static files
// when they exist, falling back to index.html for unknown paths. If the // when they exist, falling back to index.html for unknown paths. If the
// frontend hasn't been built yet, it returns a friendly dev hint instead. // frontend hasn't been built yet, it returns a friendly dev hint instead.

65
deploy/README.md Normal file
View File

@@ -0,0 +1,65 @@
# Deploying read-aloud (Piper TTS) to millenia
Petal's read-aloud generates audio with a local **Piper** neural-TTS server and
transcodes it to mp3 with **ffmpeg**. Both run on millenia (192.168.1.212);
nothing leaves the box. If Piper is down or `TTS_ENDPOINT` is unset, the frontend
falls back to the browser's Web Speech API automatically.
## 1. Piper as a systemd service (one-time)
```bash
# from this repo, on your workstation:
scp deploy/piper.service deploy/setup-piper.sh 192.168.1.212:/tmp/
ssh 192.168.1.212 'cd /tmp && sudo ./setup-piper.sh'
```
`setup-piper.sh` creates `~/piper/venv`, installs `piper-tts[http]`, downloads the
`en_US-amy-medium` voice into `~/piper/voices`, installs+enables `piper.service`
(loopback :5005), and smoke-tests it. Idempotent.
Check it any time: `systemctl status piper`, `journalctl -u piper -f`.
## 2. Point petal at Piper + redeploy the binary
Add to petal's environment (its `.env` or launch env):
```
TTS_ENDPOINT=http://127.0.0.1:5005
TTS_VOICE_EN=en_US-amy-medium
TTS_AUDIO_FORMAT=mp3
```
Then ship the rebuilt binary (`go build -o petal ./cmd/server` already done) and
restart the petal `:8088` session. Confirm the log line:
`read-aloud enabled (TTS endpoint=http://127.0.0.1:5005)`.
## 3. Verify
```bash
# on millenia — end-to-end through petal, including ffmpeg transcode:
curl -sf -X POST localhost:8088/api/tts \
-H 'Content-Type: application/json' \
-d '{"text":"hello there","lang":"en-US"}' -o /tmp/petal-tts.mp3 \
&& file /tmp/petal-tts.mp3 # expect: Audio file ... MPEG ... layer III
```
- Second identical call is served from the cache (`~/petal/.../data/tts/*.mp3`).
- A language with no configured instance returns 404 → client uses Web Speech.
- Browser check via the uitest harness (`~/petal/uitest`): tap a word in the
WordCard / select a sentence and hit speak — expect the natural Piper voice.
## Chinese voice (live)
Each Piper HTTP server loads ONE model, so Chinese runs as a **second instance**:
`piper-zh.service` on :5006 with `zh_CN-huayan-medium`. Deployed via:
```bash
scp deploy/piper-zh.service 192.168.1.212:~/.config/systemd/user/
ssh 192.168.1.212 'export XDG_RUNTIME_DIR=/run/user/$(id -u)
~/piper/venv/bin/python -m piper.download_voices zh_CN-huayan-medium --data-dir ~/piper/voices
systemctl --user daemon-reload && systemctl --user enable --now piper-zh.service'
```
Then in petal's `start.sh`: `TTS_ENDPOINT_ZH=http://127.0.0.1:5006` and
`TTS_VOICE_ZH=zh_CN-huayan-medium`. The handler maps language → instance from config,
so adding more languages is just another instance + env pair (no code change).

17
deploy/piper-zh.service Normal file
View File

@@ -0,0 +1,17 @@
[Unit]
Description=Piper TTS HTTP server — Chinese voice (read-aloud backend for petal)
After=network-online.target
Wants=network-online.target
[Service]
Type=simple
# Bound to loopback only — petal proxies to it; never exposed off-box.
ExecStart=%h/piper/venv/bin/python -m piper.http_server \
-m zh_CN-huayan-medium \
--data-dir %h/piper/voices \
--host 127.0.0.1 --port 5006
Restart=on-failure
RestartSec=3
[Install]
WantedBy=default.target

17
deploy/piper.service Normal file
View File

@@ -0,0 +1,17 @@
[Unit]
Description=Piper TTS HTTP server (read-aloud backend for petal)
After=network-online.target
Wants=network-online.target
[Service]
Type=simple
# Bound to loopback only — petal proxies to it; never exposed off-box.
ExecStart=%h/piper/venv/bin/python -m piper.http_server \
-m en_US-amy-medium \
--data-dir %h/piper/voices \
--host 127.0.0.1 --port 5005
Restart=on-failure
RestartSec=3
[Install]
WantedBy=default.target

43
deploy/setup-piper.sh Executable file
View File

@@ -0,0 +1,43 @@
#!/usr/bin/env bash
# One-time Piper TTS setup on millenia as a *user* systemd service (no sudo).
# Idempotent — safe to re-run. Run on the box:
# bash setup-piper.sh
# To survive logout/reboot, also (once, needs root):
# sudo loginctl enable-linger "$USER"
set -euo pipefail
PIPER_HOME="$HOME/piper"
VENV="$PIPER_HOME/venv"
VOICES="$PIPER_HOME/voices"
VOICE=en_US-amy-medium
UNIT_DIR="$HOME/.config/systemd/user"
export XDG_RUNTIME_DIR="/run/user/$(id -u)"
echo ">> ffmpeg check (petal transcodes Piper WAV -> mp3 with it):"
command -v ffmpeg >/dev/null || { echo "ffmpeg not found on PATH"; exit 1; }
echo ">> venv + piper-tts[http]"
[ -d "$VENV" ] || python3 -m venv "$VENV"
"$VENV/bin/pip" install --upgrade pip >/dev/null
"$VENV/bin/pip" install "piper-tts[http]"
echo ">> download voice $VOICE"
mkdir -p "$VOICES"
"$VENV/bin/python" -m piper.download_voices "$VOICE" --data-dir "$VOICES"
echo ">> install user service"
mkdir -p "$UNIT_DIR"
install -m 0644 "$(dirname "$0")/piper.service" "$UNIT_DIR/piper.service"
systemctl --user daemon-reload
systemctl --user enable --now piper.service
echo ">> wait + status"
sleep 2
systemctl --user --no-pager --full status piper.service | head -n 6 || true
echo ">> smoke test"
curl -sf -X POST localhost:5005/ \
-H 'Content-Type: application/json' \
-d "{\"text\":\"hello there\",\"voice\":\"$VOICE\"}" -o /tmp/piper-test.wav \
&& echo "OK: /tmp/piper-test.wav ($(stat -c%s /tmp/piper-test.wav) bytes)" \
|| { echo "smoke test FAILED"; journalctl --user -u piper.service --no-pager | tail -n 20; exit 1; }

19
go.mod
View File

@@ -1,5 +1,20 @@
module gitea.parodia.dev/drwily/petal module gitea.parodia.dev/drwily/petal
go 1.24.4 go 1.25.0
require github.com/go-chi/chi/v5 v5.3.0 require (
github.com/go-chi/chi/v5 v5.3.0
modernc.org/sqlite v1.53.0
)
require (
github.com/dustin/go-humanize v1.0.1 // indirect
github.com/google/uuid v1.6.0 // indirect
github.com/mattn/go-isatty v0.0.20 // indirect
github.com/ncruces/go-strftime v1.0.0 // indirect
github.com/remyoudompheng/bigfft v0.0.0-20230129092748-24d4a6f8daec // indirect
golang.org/x/sys v0.44.0 // indirect
modernc.org/libc v1.73.4 // indirect
modernc.org/mathutil v1.7.1 // indirect
modernc.org/memory v1.11.0 // indirect
)

51
go.sum
View File

@@ -1,2 +1,53 @@
github.com/dustin/go-humanize v1.0.1 h1:GzkhY7T5VNhEkwH0PVJgjz+fX1rhBrR7pRT3mDkpeCY=
github.com/dustin/go-humanize v1.0.1/go.mod h1:Mu1zIs6XwVuF/gI1OepvI0qD18qycQx+mFykh5fBlto=
github.com/go-chi/chi/v5 v5.3.0 h1:halUjDxhshgXHMrao5bB8eNBXo/rnzwr8m5m36glehM= github.com/go-chi/chi/v5 v5.3.0 h1:halUjDxhshgXHMrao5bB8eNBXo/rnzwr8m5m36glehM=
github.com/go-chi/chi/v5 v5.3.0/go.mod h1:R+tYY2hNuVUUjxoPtqUdgBqevM9s9njzkTLutVsOCto= github.com/go-chi/chi/v5 v5.3.0/go.mod h1:R+tYY2hNuVUUjxoPtqUdgBqevM9s9njzkTLutVsOCto=
github.com/google/pprof v0.0.0-20250317173921-a4b03ec1a45e h1:ijClszYn+mADRFY17kjQEVQ1XRhq2/JR1M3sGqeJoxs=
github.com/google/pprof v0.0.0-20250317173921-a4b03ec1a45e/go.mod h1:boTsfXsheKC2y+lKOCMpSfarhxDeIzfZG1jqGcPl3cA=
github.com/google/uuid v1.6.0 h1:NIvaJDMOsjHA8n1jAhLSgzrAzy1Hgr+hNrb57e+94F0=
github.com/google/uuid v1.6.0/go.mod h1:TIyPZe4MgqvfeYDBFedMoGGpEw/LqOeaOT+nhxU+yHo=
github.com/hashicorp/golang-lru/v2 v2.0.7 h1:a+bsQ5rvGLjzHuww6tVxozPZFVghXaHOwFs4luLUK2k=
github.com/hashicorp/golang-lru/v2 v2.0.7/go.mod h1:QeFd9opnmA6QUJc5vARoKUSoFhyfM2/ZepoAG6RGpeM=
github.com/mattn/go-isatty v0.0.20 h1:xfD0iDuEKnDkl03q4limB+vH+GxLEtL/jb4xVJSWWEY=
github.com/mattn/go-isatty v0.0.20/go.mod h1:W+V8PltTTMOvKvAeJH7IuucS94S2C6jfK/D7dTCTo3Y=
github.com/ncruces/go-strftime v1.0.0 h1:HMFp8mLCTPp341M/ZnA4qaf7ZlsbTc+miZjCLOFAw7w=
github.com/ncruces/go-strftime v1.0.0/go.mod h1:Fwc5htZGVVkseilnfgOVb9mKy6w1naJmn9CehxcKcls=
github.com/remyoudompheng/bigfft v0.0.0-20230129092748-24d4a6f8daec h1:W09IVJc94icq4NjY3clb7Lk8O1qJ8BdBEF8z0ibU0rE=
github.com/remyoudompheng/bigfft v0.0.0-20230129092748-24d4a6f8daec/go.mod h1:qqbHyh8v60DhA7CoWK5oRCqLrMHRGoxYCSS9EjAz6Eo=
golang.org/x/mod v0.36.0 h1:JJjpVx6myfUsUdAzZuOSTTmRE0PfZeNWzzvKrP7amb4=
golang.org/x/mod v0.36.0/go.mod h1:moc6ELqsWcOw5Ef3xVprK5ul/MvtVvkIXLziUOICjUQ=
golang.org/x/sync v0.20.0 h1:e0PTpb7pjO8GAtTs2dQ6jYa5BWYlMuX047Dco/pItO4=
golang.org/x/sync v0.20.0/go.mod h1:9xrNwdLfx4jkKbNva9FpL6vEN7evnE43NNNJQ2LF3+0=
golang.org/x/sys v0.6.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
golang.org/x/sys v0.44.0 h1:ildZl3J4uzeKP07r2F++Op7E9B29JRUy+a27EibtBTQ=
golang.org/x/sys v0.44.0/go.mod h1:4GL1E5IUh+htKOUEOaiffhrAeqysfVGipDYzABqnCmw=
golang.org/x/tools v0.45.0 h1:18qN3FAooORvApf5XjCXgsuayZOEtXf6JK18I3+ONa8=
golang.org/x/tools v0.45.0/go.mod h1:LuUGqqaXcXMEFEruIVJVm5mgDD8vww/z/SR1gQ4uE/0=
modernc.org/cc/v4 v4.28.4 h1:Hd/4Es+MBj+/7hSdZaisNyu6bv3V0Dp2MdllyfqaH+c=
modernc.org/cc/v4 v4.28.4/go.mod h1:OnovgIhbbMXMu1aISnJ0wvVD1KnW+cAUJkIrAWh+kVI=
modernc.org/ccgo/v4 v4.34.4 h1:OVnSOWQjVKOYkFxoHYB+qQmSHK5gqMqARM+K9DpR/Ws=
modernc.org/ccgo/v4 v4.34.4/go.mod h1:qdKqE8FNIYyysougB1RX9MxCzp5oJOcQXSobANJ4TuE=
modernc.org/fileutil v1.4.0 h1:j6ZzNTftVS054gi281TyLjHPp6CPHr2KCxEXjEbD6SM=
modernc.org/fileutil v1.4.0/go.mod h1:EqdKFDxiByqxLk8ozOxObDSfcVOv/54xDs/DUHdvCUU=
modernc.org/gc/v2 v2.6.5 h1:nyqdV8q46KvTpZlsw66kWqwXRHdjIlJOhG6kxiV/9xI=
modernc.org/gc/v2 v2.6.5/go.mod h1:YgIahr1ypgfe7chRuJi2gD7DBQiKSLMPgBQe9oIiito=
modernc.org/gc/v3 v3.1.3 h1:6QAplYyVO+KdPW3pGnqmJDUxtkec8ooEWvks/hhU3lc=
modernc.org/gc/v3 v3.1.3/go.mod h1:HFK/6AGESC7Ex+EZJhJ2Gni6cTaYpSMmU/cT9RmlfYY=
modernc.org/goabi0 v0.2.0 h1:HvEowk7LxcPd0eq6mVOAEMai46V+i7Jrj13t4AzuNks=
modernc.org/goabi0 v0.2.0/go.mod h1:CEFRnnJhKvWT1c1JTI3Avm+tgOWbkOu5oPA8eH8LnMI=
modernc.org/libc v1.73.4 h1:+ra4Ui8ngyt8HDcO1FTDPWlkAh6yOdaO2yAoh8MddQA=
modernc.org/libc v1.73.4/go.mod h1:DXZ3eO8qMCNn2SnmTNCiC71nJ9Rcq3PsnpU6Vc4rWK8=
modernc.org/mathutil v1.7.1 h1:GCZVGXdaN8gTqB1Mf/usp1Y/hSqgI2vAGGP4jZMCxOU=
modernc.org/mathutil v1.7.1/go.mod h1:4p5IwJITfppl0G4sUEDtCr4DthTaT47/N3aT6MhfgJg=
modernc.org/memory v1.11.0 h1:o4QC8aMQzmcwCK3t3Ux/ZHmwFPzE6hf2Y5LbkRs+hbI=
modernc.org/memory v1.11.0/go.mod h1:/JP4VbVC+K5sU2wZi9bHoq2MAkCnrt2r98UGeSK7Mjw=
modernc.org/opt v0.2.0 h1:tGyef5ApycA7FSEOMraay9SaTk5zmbx7Tu+cJs4QKZg=
modernc.org/opt v0.2.0/go.mod h1:03fq9lsNfvkYSfxrfUhZCWPk1lm4cq4N+Bh//bEtgns=
modernc.org/sortutil v1.2.1 h1:+xyoGf15mM3NMlPDnFqrteY07klSFxLElE2PVuWIJ7w=
modernc.org/sortutil v1.2.1/go.mod h1:7ZI3a3REbai7gzCLcotuw9AC4VZVpYMjDzETGsSMqJE=
modernc.org/sqlite v1.53.0 h1:20WG8N9q4ji/dEqGk4uiI0c6OPjSeLTNYGFCc3+7c1M=
modernc.org/sqlite v1.53.0/go.mod h1:xoEpOIpGrgT48H5iiyt/YXPCZPEzlfmfFwtk8Lklw8s=
modernc.org/strutil v1.2.1 h1:UneZBkQA+DX2Rp35KcM69cSsNES9ly8mQWD71HKlOA0=
modernc.org/strutil v1.2.1/go.mod h1:EHkiggD70koQxjVdSBM3JKM7k6L0FbGE5eymy9i3B9A=
modernc.org/token v1.1.0 h1:Xl7Ap9dKaEs5kLoOQeQmPWevfnk/DM5qcLcYlA8ys6Y=
modernc.org/token v1.1.0/go.mod h1:UGzOrNV1mAFSEB63lOFHIpNRUVMvYTc6yu1SMY/XTDM=

View File

@@ -11,6 +11,7 @@ type Config struct {
Port string Port string
BaseURL string BaseURL string
DatabasePath string DatabasePath string
ImageDir string // on-disk store for editor image uploads
// LLM // LLM
LLMBackend string // "vllm" | "ollama" LLMBackend string // "vllm" | "ollama"
@@ -19,6 +20,17 @@ type Config struct {
LLMChatModel string // Ask Petal model; falls back to LLMModel if empty LLMChatModel string // Ask Petal model; falls back to LLMModel if empty
LLMTimeout time.Duration LLMTimeout time.Duration
// TTS (read-aloud). Off unless TTSEndpoint is set — when empty, the /api/tts
// route isn't mounted and the frontend falls back to the browser's Web Speech
// API. Endpoint points at a local Piper HTTP server.
TTSEndpoint string // Piper instance serving the English voice
TTSEndpointZH string // Piper instance serving the Chinese voice; empty = zh falls back to Web Speech
TTSVoiceEN string // Piper voice id for English (e.g. en_US-amy-medium)
TTSVoiceZH string // Piper voice id for Chinese (e.g. zh_CN-huayan-medium)
TTSCacheDir string // on-disk store for synthesized clips (content-addressed)
TTSTimeout time.Duration
TTSFormat string // mp3 | opus | wav — mp3/opus transcode Piper's WAV via ffmpeg
// Auth (deferred — not wired in the local-dev build, kept for later) // Auth (deferred — not wired in the local-dev build, kept for later)
AuthentikURL string AuthentikURL string
AuthentikClientID string AuthentikClientID string
@@ -32,6 +44,7 @@ func Load() *Config {
Port: env("PORT", "8080"), Port: env("PORT", "8080"),
BaseURL: env("BASE_URL", "http://localhost:8080"), BaseURL: env("BASE_URL", "http://localhost:8080"),
DatabasePath: env("DATABASE_PATH", "./data/petal.db"), DatabasePath: env("DATABASE_PATH", "./data/petal.db"),
ImageDir: env("IMAGE_DIR", "./data/images"),
LLMBackend: env("LLM_BACKEND", "vllm"), LLMBackend: env("LLM_BACKEND", "vllm"),
LLMEndpoint: env("LLM_ENDPOINT", "http://localhost:8000"), LLMEndpoint: env("LLM_ENDPOINT", "http://localhost:8000"),
@@ -39,6 +52,14 @@ func Load() *Config {
LLMChatModel: env("LLM_CHAT_MODEL", ""), LLMChatModel: env("LLM_CHAT_MODEL", ""),
LLMTimeout: envDuration("LLM_TIMEOUT", 30*time.Second), LLMTimeout: envDuration("LLM_TIMEOUT", 30*time.Second),
TTSEndpoint: env("TTS_ENDPOINT", ""),
TTSEndpointZH: env("TTS_ENDPOINT_ZH", ""),
TTSVoiceEN: env("TTS_VOICE_EN", "en_US-amy-medium"),
TTSVoiceZH: env("TTS_VOICE_ZH", "zh_CN-huayan-medium"),
TTSCacheDir: env("TTS_CACHE_DIR", "./data/tts"),
TTSTimeout: envDuration("TTS_TIMEOUT", 15*time.Second),
TTSFormat: env("TTS_AUDIO_FORMAT", "mp3"),
AuthentikURL: env("AUTHENTIK_URL", ""), AuthentikURL: env("AUTHENTIK_URL", ""),
AuthentikClientID: env("AUTHENTIK_CLIENT_ID", ""), AuthentikClientID: env("AUTHENTIK_CLIENT_ID", ""),
AuthentikClientSecret: env("AUTHENTIK_CLIENT_SECRET", ""), AuthentikClientSecret: env("AUTHENTIK_CLIENT_SECRET", ""),

277
internal/db/db.go Normal file
View File

@@ -0,0 +1,277 @@
// Package db owns the SQLite connection, schema migrations, and the core data
// models. It uses modernc.org/sqlite (pure Go, no cgo) so the app stays a
// single static binary.
package db
import (
"database/sql"
"fmt"
"net/url"
"os"
"path/filepath"
_ "modernc.org/sqlite"
)
// LocalUserID is the id of the single hardcoded user the app runs as while auth
// is deferred. The seeded row keeps foreign keys valid; real auth replaces it
// later without a schema change.
const LocalUserID = "local"
// DB wraps the SQL handle. It's a thin alias today, leaving room for prepared
// statements or helpers later without churning call sites.
type DB struct {
*sql.DB
}
// Open initialises the database at path: it ensures the parent directory
// exists, opens the connection with foreign keys and WAL enabled, runs all
// pending migrations, and seeds the local user.
func Open(path string) (*DB, error) {
if dir := filepath.Dir(path); dir != "" && dir != "." {
if err := os.MkdirAll(dir, 0o755); err != nil {
return nil, fmt.Errorf("create data dir: %w", err)
}
}
sqlDB, err := sql.Open("sqlite", dsn(path))
if err != nil {
return nil, fmt.Errorf("open sqlite: %w", err)
}
// SQLite is a single writer; one connection avoids "database is locked"
// churn while keeping WAL's concurrent readers.
sqlDB.SetMaxOpenConns(1)
if err := sqlDB.Ping(); err != nil {
_ = sqlDB.Close()
return nil, fmt.Errorf("ping sqlite: %w", err)
}
d := &DB{sqlDB}
if err := d.migrate(); err != nil {
_ = sqlDB.Close()
return nil, fmt.Errorf("migrate: %w", err)
}
if err := d.seed(); err != nil {
_ = sqlDB.Close()
return nil, fmt.Errorf("seed: %w", err)
}
return d, nil
}
// dsn builds the modernc.org/sqlite connection string with the pragmas we want
// applied to every connection.
func dsn(path string) string {
q := url.Values{}
q.Add("_pragma", "foreign_keys(1)")
q.Add("_pragma", "busy_timeout(5000)")
q.Add("_pragma", "journal_mode(WAL)")
return "file:" + path + "?" + q.Encode()
}
// migration is one ordered, idempotent schema step. Append new migrations to the
// slice in migrate(); never edit or reorder an already-shipped one.
type migration struct {
name string
stmt string
}
// migrate runs every migration not yet recorded in schema_migrations, inside a
// transaction each, in order.
func (d *DB) migrate() error {
if _, err := d.Exec(`CREATE TABLE IF NOT EXISTS schema_migrations (
name TEXT PRIMARY KEY,
applied_at DATETIME DEFAULT CURRENT_TIMESTAMP
)`); err != nil {
return err
}
for _, m := range migrations() {
var exists bool
if err := d.QueryRow(
`SELECT EXISTS(SELECT 1 FROM schema_migrations WHERE name = ?)`, m.name,
).Scan(&exists); err != nil {
return err
}
if exists {
continue
}
tx, err := d.Begin()
if err != nil {
return err
}
if _, err := tx.Exec(m.stmt); err != nil {
_ = tx.Rollback()
return fmt.Errorf("migration %q: %w", m.name, err)
}
if _, err := tx.Exec(`INSERT INTO schema_migrations (name) VALUES (?)`, m.name); err != nil {
_ = tx.Rollback()
return fmt.Errorf("record migration %q: %w", m.name, err)
}
if err := tx.Commit(); err != nil {
return err
}
}
return nil
}
// migrations returns the ordered schema history. The initial migration mirrors
// the schema in petal-spec.md.
func migrations() []migration {
return []migration{
{
name: "0001_initial_schema",
stmt: `
CREATE TABLE users (
id TEXT PRIMARY KEY,
email TEXT NOT NULL,
display_name TEXT,
created_at DATETIME DEFAULT CURRENT_TIMESTAMP
);
CREATE TABLE documents (
id TEXT PRIMARY KEY DEFAULT (lower(hex(randomblob(16)))),
user_id TEXT NOT NULL REFERENCES users(id),
title TEXT NOT NULL DEFAULT 'Untitled',
content TEXT NOT NULL DEFAULT '{}',
content_text TEXT NOT NULL DEFAULT '',
word_count INTEGER NOT NULL DEFAULT 0,
created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
updated_at DATETIME DEFAULT CURRENT_TIMESTAMP
);
CREATE TABLE suggestions (
id TEXT PRIMARY KEY DEFAULT (lower(hex(randomblob(16)))),
doc_id TEXT NOT NULL REFERENCES documents(id) ON DELETE CASCADE,
from_pos INTEGER NOT NULL,
to_pos INTEGER NOT NULL,
original TEXT NOT NULL,
replacement TEXT NOT NULL,
explanation TEXT NOT NULL,
type TEXT NOT NULL CHECK(type IN ('grammar','phrasing','idiom','clarity','voice')),
status TEXT NOT NULL DEFAULT 'pending' CHECK(status IN ('pending','accepted','rejected')),
created_at DATETIME DEFAULT CURRENT_TIMESTAMP
);
CREATE TABLE plagiarism_reports (
id TEXT PRIMARY KEY DEFAULT (lower(hex(randomblob(16)))),
doc_id TEXT NOT NULL REFERENCES documents(id) ON DELETE CASCADE,
backend TEXT NOT NULL DEFAULT 'copyleaks',
similarity_pct REAL,
status TEXT NOT NULL DEFAULT 'pending'
CHECK(status IN ('pending','complete','error')),
result_json TEXT,
created_at DATETIME DEFAULT CURRENT_TIMESTAMP
);
CREATE INDEX idx_suggestions_doc_id ON suggestions(doc_id);
CREATE INDEX idx_plagiarism_doc_id ON plagiarism_reports(doc_id);
`,
},
{
// Per-document tone: guides the grammar-checkpoint LLM so advice fits
// the writer's target register (academic essay vs casual journal).
// 'general' means no specific tone steering.
name: "0002_document_tone",
stmt: `ALTER TABLE documents ADD COLUMN tone TEXT NOT NULL DEFAULT 'general';`,
},
{
// Version history: point-in-time snapshots of a document's body so a
// bad edit or LLM mishap is always recoverable. `kind` distinguishes
// throttled background snapshots ('auto'), explicit user restore
// points ('manual'), and the safety copy taken right before a restore
// ('pre_restore') so restoring is itself undoable. Snapshots cascade
// with the document. Stored fully (content + content_text) so a
// restore is a plain copy with no re-derivation.
name: "0003_document_versions",
stmt: `
CREATE TABLE document_versions (
id TEXT PRIMARY KEY DEFAULT (lower(hex(randomblob(16)))),
doc_id TEXT NOT NULL REFERENCES documents(id) ON DELETE CASCADE,
title TEXT NOT NULL,
content TEXT NOT NULL,
content_text TEXT NOT NULL,
word_count INTEGER NOT NULL DEFAULT 0,
kind TEXT NOT NULL DEFAULT 'auto'
CHECK(kind IN ('auto','manual','pre_restore')),
created_at DATETIME DEFAULT CURRENT_TIMESTAMP
);
CREATE INDEX idx_versions_doc_id ON document_versions(doc_id, created_at DESC);
`,
},
{
// Organization & search (Phase 10). Two parts:
//
// 1. Tags. A small, user-scoped label set; `color` holds a palette key
// (rose/mint/peach/lavender/sky/honey) the frontend maps to CSS.
// document_tags is the many-to-many join; both sides cascade so
// deleting a doc or a tag cleans up its assignments.
//
// 2. Full-text search. A standalone FTS5 virtual table over title +
// content_text using the `trigram` tokenizer so search works for
// both English and space-free Chinese (the default tokenizer treats a
// CJK run as one token). It carries an UNINDEXED doc_id to map hits
// back to documents, kept in sync by AFTER INSERT/UPDATE/DELETE
// triggers, and is back-filled from the existing documents here.
// (Trigram needs ≥3 chars to MATCH; the search handler falls back to
// LIKE for shorter queries — common for 2-character Chinese words.)
name: "0004_tags_and_search",
stmt: `
CREATE TABLE tags (
id TEXT PRIMARY KEY DEFAULT (lower(hex(randomblob(16)))),
user_id TEXT NOT NULL REFERENCES users(id),
name TEXT NOT NULL,
color TEXT NOT NULL DEFAULT 'rose',
created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
UNIQUE(user_id, name)
);
CREATE TABLE document_tags (
doc_id TEXT NOT NULL REFERENCES documents(id) ON DELETE CASCADE,
tag_id TEXT NOT NULL REFERENCES tags(id) ON DELETE CASCADE,
PRIMARY KEY (doc_id, tag_id)
);
CREATE INDEX idx_document_tags_tag ON document_tags(tag_id);
CREATE VIRTUAL TABLE documents_fts USING fts5(
doc_id UNINDEXED,
title,
content_text,
tokenize='trigram'
);
CREATE TRIGGER documents_ai AFTER INSERT ON documents BEGIN
INSERT INTO documents_fts (doc_id, title, content_text)
VALUES (new.id, new.title, new.content_text);
END;
CREATE TRIGGER documents_ad AFTER DELETE ON documents BEGIN
DELETE FROM documents_fts WHERE doc_id = old.id;
END;
CREATE TRIGGER documents_au AFTER UPDATE ON documents BEGIN
UPDATE documents_fts
SET title = new.title, content_text = new.content_text
WHERE doc_id = old.id;
END;
INSERT INTO documents_fts (doc_id, title, content_text)
SELECT id, title, content_text FROM documents;
`,
},
}
}
// seed inserts the hardcoded local user if it doesn't already exist. It's
// idempotent, so it runs safely on every startup.
func (d *DB) seed() error {
_, err := d.Exec(
`INSERT INTO users (id, email, display_name) VALUES (?, ?, ?)
ON CONFLICT(id) DO NOTHING`,
LocalUserID, "local@petal.local", "Writer",
)
return err
}

77
internal/db/db_test.go Normal file
View File

@@ -0,0 +1,77 @@
package db
import (
"path/filepath"
"testing"
)
func TestOpenMigratesAndSeeds(t *testing.T) {
path := filepath.Join(t.TempDir(), "test.db")
d, err := Open(path)
if err != nil {
t.Fatalf("first open: %v", err)
}
// Local user is seeded.
var email string
if err := d.QueryRow(`SELECT email FROM users WHERE id = ?`, LocalUserID).Scan(&email); err != nil {
t.Fatalf("local user not seeded: %v", err)
}
// All expected tables exist.
for _, table := range []string{"users", "documents", "suggestions", "plagiarism_reports", "schema_migrations"} {
var name string
err := d.QueryRow(`SELECT name FROM sqlite_master WHERE type='table' AND name=?`, table).Scan(&name)
if err != nil {
t.Errorf("table %q missing: %v", table, err)
}
}
// The voice suggestion type is permitted by the CHECK constraint.
if _, err := d.Exec(`INSERT INTO documents (id, user_id) VALUES ('d1', ?)`, LocalUserID); err != nil {
t.Fatalf("insert document: %v", err)
}
if _, err := d.Exec(
`INSERT INTO suggestions (doc_id, from_pos, to_pos, original, replacement, explanation, type)
VALUES ('d1', 0, 4, 'teh', '', 'voice flag', 'voice')`,
); err != nil {
t.Fatalf("insert voice suggestion: %v", err)
}
// An invalid type is rejected.
if _, err := d.Exec(
`INSERT INTO suggestions (doc_id, from_pos, to_pos, original, replacement, explanation, type)
VALUES ('d1', 0, 4, 'teh', 'the', 'x', 'nonsense')`,
); err == nil {
t.Error("expected CHECK constraint to reject invalid suggestion type")
}
// Cascade delete removes child suggestions (foreign keys enabled).
if _, err := d.Exec(`DELETE FROM documents WHERE id = 'd1'`); err != nil {
t.Fatalf("delete document: %v", err)
}
var n int
if err := d.QueryRow(`SELECT COUNT(*) FROM suggestions WHERE doc_id = 'd1'`).Scan(&n); err != nil {
t.Fatal(err)
}
if n != 0 {
t.Errorf("expected cascade delete, got %d orphan suggestions", n)
}
d.Close()
// Re-opening is idempotent: migrations and seed don't double-apply or error.
d2, err := Open(path)
if err != nil {
t.Fatalf("second open: %v", err)
}
defer d2.Close()
var users int
if err := d2.QueryRow(`SELECT COUNT(*) FROM users WHERE id = ?`, LocalUserID).Scan(&users); err != nil {
t.Fatal(err)
}
if users != 1 {
t.Errorf("expected exactly 1 local user after reopen, got %d", users)
}
}

107
internal/db/models.go Normal file
View File

@@ -0,0 +1,107 @@
package db
import "time"
// User is an account. With auth deferred, the app runs as a single hardcoded
// `local` user (see LocalUserID); the user_id columns and this type exist so
// real auth can drop in later without a schema migration.
type User struct {
ID string `json:"id"`
Email string `json:"email"`
DisplayName string `json:"display_name"`
CreatedAt time.Time `json:"created_at"`
}
// Document is a single piece of writing. `Content` is the Tiptap JSON document
// (source of truth for the editor); `ContentText` is the flattened plain text
// kept in sync on every save and fed to the LLM.
type Document struct {
ID string `json:"id"`
UserID string `json:"user_id"`
Title string `json:"title"`
Content string `json:"content"` // Tiptap JSON
ContentText string `json:"content_text"` // plain text for the LLM
Tone string `json:"tone"` // target writing tone; steers LLM advice
WordCount int `json:"word_count"`
CreatedAt time.Time `json:"created_at"`
UpdatedAt time.Time `json:"updated_at"`
}
// DocumentVersion is a point-in-time snapshot of a document's body, captured so
// a writer can recover from a bad edit or an unwanted change. `Content` mirrors
// the document's Tiptap JSON at snapshot time; `Kind` records why it was taken
// (see the kind constants). List responses omit the heavy Content/ContentText
// fields (the `omitempty`-friendly zero strings) and load them only on preview
// or restore.
type DocumentVersion struct {
ID string `json:"id"`
DocID string `json:"doc_id"`
Title string `json:"title"`
Content string `json:"content,omitempty"` // Tiptap JSON; omitted in list view
ContentText string `json:"content_text,omitempty"` // plain text; omitted in list view
WordCount int `json:"word_count"`
Kind string `json:"kind"` // auto | manual | pre_restore
CreatedAt time.Time `json:"created_at"`
}
// Document version kinds, mirrored from the schema CHECK constraint.
const (
VersionKindAuto = "auto" // throttled background snapshot on save
VersionKindManual = "manual" // explicit "save a restore point"
VersionKindPreRestore = "pre_restore" // safety copy taken just before a restore
)
// Tag is a user-scoped label for organizing documents. `Color` is a palette key
// (rose, mint, peach, lavender, sky, honey) the frontend maps to a CSS color;
// storing the key (not a hex value) keeps tags in step with the design tokens.
// `DocCount` is populated only by the tag-list endpoint (how many documents wear
// the tag); it's omitted from per-document tag lists.
type Tag struct {
ID string `json:"id"`
Name string `json:"name"`
Color string `json:"color"`
DocCount int `json:"doc_count,omitempty"`
}
// Tag color palette keys, mirrored on the frontend. Kept small and aligned with
// the existing design tokens; unknown values fall back to rose client-side.
const (
TagColorRose = "rose"
TagColorMint = "mint"
TagColorPeach = "peach"
TagColorLavender = "lavender"
TagColorSky = "sky"
TagColorHoney = "honey"
)
// Suggestion is a single LLM-proposed edit anchored to a span of the document.
//
// FromPos/ToPos are plaintext offsets into ContentText for server-side use only;
// the frontend re-anchors by matching the `Original` string in ProseMirror
// coordinates at render time (spec Note #6). `Replacement` is empty for `voice`
// flags — those are awareness-only, with no correction to apply.
type Suggestion struct {
ID string `json:"id"`
DocID string `json:"doc_id"`
FromPos int `json:"from_pos"`
ToPos int `json:"to_pos"`
Original string `json:"original"`
Replacement string `json:"replacement"`
Explanation string `json:"explanation"`
Type string `json:"type"` // grammar | phrasing | idiom | clarity | voice
Status string `json:"status"` // pending | accepted | rejected
CreatedAt time.Time `json:"created_at"`
}
// Suggestion type and status values, mirrored from the schema CHECK constraints.
const (
SuggestionTypeGrammar = "grammar"
SuggestionTypePhrasing = "phrasing"
SuggestionTypeIdiom = "idiom"
SuggestionTypeClarity = "clarity"
SuggestionTypeVoice = "voice"
SuggestionStatusPending = "pending"
SuggestionStatusAccepted = "accepted"
SuggestionStatusRejected = "rejected"
)

900
internal/docs/export.go Normal file
View File

@@ -0,0 +1,900 @@
package docs
import (
"archive/zip"
"bytes"
"database/sql"
"encoding/json"
"errors"
"fmt"
"net/http"
"strings"
"time"
"github.com/go-chi/chi/v5"
"gitea.parodia.dev/drwily/petal/internal/db"
)
// exportRoutes registers the download endpoints: one document
// (GET /api/docs/{id}/export?format=…) and a whole-corpus backup zip
// (GET /api/docs/export-all?format=…). The static "export-all" segment takes
// priority over the {id} param in chi's router, so the two don't collide.
func (h *Handler) exportRoutes(r chi.Router) {
r.Get("/{id}/export", h.export)
r.Get("/export-all", h.exportAll)
}
// exportAll streams every document the user owns, each rendered in the requested
// format, bundled into a single zip — a one-click "download all my writing"
// backup. Per-doc version history guards against bad edits; this guards against
// a lost disk. Reuses the same renderers as the single-document export.
func (h *Handler) exportAll(w http.ResponseWriter, r *http.Request) {
formatKey := r.URL.Query().Get("format")
if formatKey == "" {
formatKey = "md"
}
format, ok := exportFormats[formatKey]
if !ok {
badRequest(w, "unsupported export format")
return
}
rows, err := h.DB.Query(
`SELECT id, user_id, title, content, content_text, tone, word_count, created_at, updated_at
FROM documents
WHERE user_id = ?
ORDER BY updated_at DESC`,
db.LocalUserID,
)
if err != nil {
serverError(w, err)
return
}
defer rows.Close()
var buf bytes.Buffer
zw := zip.NewWriter(&buf)
seen := map[string]int{} // de-duplicate filenames from same-titled docs
for rows.Next() {
var doc db.Document
if err := rows.Scan(
&doc.ID, &doc.UserID, &doc.Title, &doc.Content, &doc.ContentText,
&doc.Tone, &doc.WordCount, &doc.CreatedAt, &doc.UpdatedAt,
); err != nil {
serverError(w, err)
return
}
body, err := format.render(doc)
if err != nil {
serverError(w, err)
return
}
base := sanitizeFilename(doc.Title)
if base == "" {
base = "untitled"
}
key := base + "." + format.ext
name := key
if c := seen[key]; c > 0 {
name = fmt.Sprintf("%s (%d).%s", base, c, format.ext)
}
seen[key]++
f, err := zw.Create(name)
if err != nil {
serverError(w, err)
return
}
if _, err := f.Write(body); err != nil {
serverError(w, err)
return
}
}
if err := rows.Err(); err != nil {
serverError(w, err)
return
}
if err := zw.Close(); err != nil {
serverError(w, err)
return
}
filename := "petal-backup-" + time.Now().Format("2006-01-02") + ".zip"
w.Header().Set("Content-Type", "application/zip")
w.Header().Set("Content-Disposition", fmt.Sprintf("attachment; filename*=UTF-8''%s", urlEscapeFilename(filename)))
w.Header().Set("Content-Length", fmt.Sprintf("%d", buf.Len()))
_, _ = w.Write(buf.Bytes())
}
// exportFormat describes one downloadable format: how to render it and how to
// label the resulting file.
type exportFormat struct {
ext string
contentType string
render func(doc db.Document) ([]byte, error)
}
// exportFormats is the supported set. PDF is intentionally absent: a faithful,
// CJK-safe PDF needs an embedded Unicode font (~10MB into the single binary) or
// a headless browser (breaks the no-cgo, single-binary story). The frontend
// offers "Print / Save as PDF" via the browser instead, which uses the reader's
// own fonts and renders CJK correctly for free.
var exportFormats = map[string]exportFormat{
"md": {ext: "md", contentType: "text/markdown; charset=utf-8", render: renderMarkdown},
"html": {ext: "html", contentType: "text/html; charset=utf-8", render: renderHTMLFile},
"txt": {ext: "txt", contentType: "text/plain; charset=utf-8", render: renderPlainText},
"docx": {
ext: "docx",
contentType: "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
render: renderDocx,
},
}
// export streams the document in the requested format as a download.
func (h *Handler) export(w http.ResponseWriter, r *http.Request) {
formatKey := r.URL.Query().Get("format")
if formatKey == "" {
formatKey = "md"
}
format, ok := exportFormats[formatKey]
if !ok {
badRequest(w, "unsupported export format")
return
}
doc, err := h.fetch(chi.URLParam(r, "id"))
if errors.Is(err, sql.ErrNoRows) {
notFound(w)
return
}
if err != nil {
serverError(w, err)
return
}
body, err := format.render(doc)
if err != nil {
serverError(w, err)
return
}
filename := sanitizeFilename(doc.Title) + "." + format.ext
w.Header().Set("Content-Type", format.contentType)
w.Header().Set("Content-Disposition", fmt.Sprintf("attachment; filename*=UTF-8''%s", urlEscapeFilename(filename)))
w.Header().Set("Content-Length", fmt.Sprintf("%d", len(body)))
_, _ = w.Write(body)
}
// --- Tiptap document model --------------------------------------------------
// pmNode is one ProseMirror/Tiptap node. The tree is what the editor stores in
// Document.Content; we walk it to render every export format from one source.
type pmNode struct {
Type string `json:"type"`
Attrs map[string]any `json:"attrs"`
Marks []pmMark `json:"marks"`
Text string `json:"text"`
Content []pmNode `json:"content"`
}
type pmMark struct {
Type string `json:"type"`
Attrs map[string]any `json:"attrs"`
}
// parseDoc decodes Document.Content into a node tree. On empty or malformed JSON
// it falls back to wrapping the plain-text mirror in paragraphs, so export never
// fails just because the editor state is unusual.
func parseDoc(doc db.Document) pmNode {
var root pmNode
if err := json.Unmarshal([]byte(doc.Content), &root); err != nil || root.Type == "" {
return fallbackDoc(doc.ContentText)
}
if len(root.Content) == 0 && strings.TrimSpace(doc.ContentText) != "" {
return fallbackDoc(doc.ContentText)
}
return root
}
// fallbackDoc builds a minimal doc node from plain text, one paragraph per line.
func fallbackDoc(text string) pmNode {
root := pmNode{Type: "doc"}
for _, line := range strings.Split(text, "\n") {
p := pmNode{Type: "paragraph"}
if line != "" {
p.Content = []pmNode{{Type: "text", Text: line}}
}
root.Content = append(root.Content, p)
}
return root
}
func (n pmNode) hasMark(t string) bool {
for _, m := range n.Marks {
if m.Type == t {
return true
}
}
return false
}
// attrStr returns a string-valued attribute (e.g. an image src), or "".
func (n pmNode) attrStr(key string) string {
if n.Attrs == nil {
return ""
}
if s, ok := n.Attrs[key].(string); ok {
return s
}
return ""
}
// markAttr returns a string attribute from the named mark (e.g. a link href).
func (n pmNode) markAttr(markType, key string) string {
for _, m := range n.Marks {
if m.Type == markType && m.Attrs != nil {
if s, ok := m.Attrs[key].(string); ok {
return s
}
}
}
return ""
}
func (n pmNode) level() int {
if n.Attrs == nil {
return 1
}
if l, ok := n.Attrs["level"].(float64); ok && l >= 1 {
return int(l)
}
return 1
}
// --- Markdown ---------------------------------------------------------------
func renderMarkdown(doc db.Document) ([]byte, error) {
root := parseDoc(doc)
var blocks []string
for _, child := range root.Content {
if s := mdBlock(child, 0); s != "" {
blocks = append(blocks, s)
}
}
out := "# " + doc.Title + "\n\n" + strings.Join(blocks, "\n\n") + "\n"
return []byte(out), nil
}
func mdBlock(n pmNode, depth int) string {
switch n.Type {
case "heading":
return strings.Repeat("#", n.level()) + " " + mdInline(n.Content)
case "paragraph":
return mdInline(n.Content)
case "blockquote":
var lines []string
for _, c := range n.Content {
for _, l := range strings.Split(mdBlock(c, depth), "\n") {
lines = append(lines, "> "+l)
}
}
return strings.Join(lines, "\n")
case "codeBlock":
return "```\n" + textContent(n) + "\n```"
case "horizontalRule":
return "---"
case "image":
alt := n.attrStr("alt")
return fmt.Sprintf("![%s](%s)", alt, n.attrStr("src"))
case "table":
return mdTable(n)
case "bulletList", "orderedList":
var items []string
for i, item := range n.Content {
marker := "- "
if n.Type == "orderedList" {
marker = fmt.Sprintf("%d. ", i+1)
}
indent := strings.Repeat(" ", depth)
// A listItem holds block children (usually one paragraph).
var parts []string
for _, c := range item.Content {
parts = append(parts, mdBlock(c, depth+1))
}
items = append(items, indent+marker+strings.TrimSpace(strings.Join(parts, "\n")))
}
return strings.Join(items, "\n")
default:
// Unknown block: render any inline text it carries.
if len(n.Content) > 0 {
return mdInline(n.Content)
}
return ""
}
}
func mdInline(nodes []pmNode) string {
var b strings.Builder
for _, n := range nodes {
switch n.Type {
case "text":
b.WriteString(applyMdMarks(n))
case "hardBreak":
b.WriteString(" \n")
default:
b.WriteString(mdInline(n.Content))
}
}
return b.String()
}
// mdTable renders a table node as a GitHub-flavored Markdown table. The first
// row is used as the header (Markdown tables require one); a separator row is
// inserted after it. Cell text is flattened to inline Markdown.
func mdTable(n pmNode) string {
var rows [][]string
for _, row := range n.Content {
if row.Type != "tableRow" {
continue
}
var cells []string
for _, cell := range row.Content {
// A cell holds block children (usually one paragraph); flatten them.
var parts []string
for _, c := range cell.Content {
parts = append(parts, mdInline(c.Content))
}
// Escape pipes so cell content doesn't break the column layout.
cells = append(cells, strings.ReplaceAll(strings.TrimSpace(strings.Join(parts, " ")), "|", "\\|"))
}
rows = append(rows, cells)
}
if len(rows) == 0 {
return ""
}
cols := 0
for _, r := range rows {
if len(r) > cols {
cols = len(r)
}
}
pad := func(r []string) string {
for len(r) < cols {
r = append(r, "")
}
return "| " + strings.Join(r, " | ") + " |"
}
var lines []string
lines = append(lines, pad(rows[0]))
sep := make([]string, cols)
for i := range sep {
sep[i] = "---"
}
lines = append(lines, "| "+strings.Join(sep, " | ")+" |")
for _, r := range rows[1:] {
lines = append(lines, pad(r))
}
return strings.Join(lines, "\n")
}
func applyMdMarks(n pmNode) string {
t := n.Text
if n.hasMark("code") {
return "`" + t + "`" // code spans don't combine with other emphasis
}
if n.hasMark("bold") {
t = "**" + t + "**"
}
if n.hasMark("italic") {
t = "*" + t + "*"
}
if n.hasMark("strike") {
t = "~~" + t + "~~"
}
if n.hasMark("underline") {
t = "<u>" + t + "</u>"
}
if href := n.markAttr("link", "href"); href != "" {
t = "[" + t + "](" + href + ")"
}
return t
}
// --- Plain text -------------------------------------------------------------
func renderPlainText(doc db.Document) ([]byte, error) {
root := parseDoc(doc)
var blocks []string
for _, child := range root.Content {
if s := txtBlock(child); s != "" {
blocks = append(blocks, s)
}
}
out := doc.Title + "\n\n" + strings.Join(blocks, "\n\n") + "\n"
return []byte(out), nil
}
func txtBlock(n pmNode) string {
switch n.Type {
case "bulletList", "orderedList":
var items []string
for i, item := range n.Content {
marker := "• "
if n.Type == "orderedList" {
marker = fmt.Sprintf("%d. ", i+1)
}
items = append(items, marker+strings.TrimSpace(textContent(item)))
}
return strings.Join(items, "\n")
case "horizontalRule":
return "----------"
default:
return textContent(n)
}
}
// textContent flattens all descendant text, joining hardBreaks as newlines.
func textContent(n pmNode) string {
if n.Type == "text" {
return n.Text
}
if n.Type == "hardBreak" {
return "\n"
}
var b strings.Builder
for _, c := range n.Content {
b.WriteString(textContent(c))
}
return b.String()
}
// --- HTML -------------------------------------------------------------------
func renderHTMLFile(doc db.Document) ([]byte, error) {
root := parseDoc(doc)
var body strings.Builder
for _, child := range root.Content {
body.WriteString(htmlBlock(child))
}
page := fmt.Sprintf(htmlTemplate, htmlEscape(doc.Title), htmlEscape(doc.Title), body.String())
return []byte(page), nil
}
// htmlTemplate is a standalone, self-contained page with a warm, readable
// stylesheet and a CJK-first font stack so exported writing looks like Petal,
// not a raw dump. No external assets — opens offline anywhere.
const htmlTemplate = `<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>%s</title>
<style>
:root { color-scheme: light; }
body {
font-family: "Georgia", "Songti SC", "Noto Serif CJK SC", "Source Han Serif SC", serif;
line-height: 1.75; color: #463a3f; background: #fffafb;
max-width: 42rem; margin: 3rem auto; padding: 0 1.5rem;
}
h1, h2, h3 { font-family: "Georgia", "Songti SC", serif; color: #b04a6a; line-height: 1.3; }
h1 { font-size: 1.9rem; border-bottom: 2px solid #f6d6e0; padding-bottom: .4rem; }
blockquote { border-left: 3px solid #f3b6c8; margin: 1rem 0; padding: .2rem 1rem; color: #6b5860; background: #fff2f6; }
code { background: #fdeef3; padding: .1rem .35rem; border-radius: .3rem; font-size: .9em; }
pre { background: #fdeef3; padding: 1rem; border-radius: .6rem; overflow-x: auto; }
pre code { background: none; padding: 0; }
hr { border: none; border-top: 1px solid #f3cdd9; margin: 2rem 0; }
a { color: #b04a6a; }
ul, ol { padding-left: 1.4rem; }
</style>
</head>
<body>
<h1>%s</h1>
%s</body>
</html>
`
func htmlBlock(n pmNode) string {
switch n.Type {
case "heading":
tag := fmt.Sprintf("h%d", clampHeading(n.level()))
return fmt.Sprintf("<%s>%s</%s>\n", tag, htmlInline(n.Content), tag)
case "paragraph":
inner := htmlInline(n.Content)
if inner == "" {
return "<p><br></p>\n"
}
return "<p>" + inner + "</p>\n"
case "blockquote":
var b strings.Builder
for _, c := range n.Content {
b.WriteString(htmlBlock(c))
}
return "<blockquote>" + b.String() + "</blockquote>\n"
case "codeBlock":
return "<pre><code>" + htmlEscape(textContent(n)) + "</code></pre>\n"
case "horizontalRule":
return "<hr>\n"
case "image":
alt := htmlEscape(n.attrStr("alt"))
return fmt.Sprintf("<p><img src=\"%s\" alt=\"%s\"></p>\n", htmlEscape(n.attrStr("src")), alt)
case "table":
return htmlTable(n)
case "bulletList", "orderedList":
tag := "ul"
if n.Type == "orderedList" {
tag = "ol"
}
var b strings.Builder
b.WriteString("<" + tag + ">\n")
for _, item := range n.Content {
var inner strings.Builder
for _, c := range item.Content {
// Unwrap a lone paragraph so list items aren't double-spaced.
if c.Type == "paragraph" {
inner.WriteString(htmlInline(c.Content))
} else {
inner.WriteString(htmlBlock(c))
}
}
b.WriteString("<li>" + inner.String() + "</li>\n")
}
b.WriteString("</" + tag + ">\n")
return b.String()
default:
if len(n.Content) > 0 {
return "<p>" + htmlInline(n.Content) + "</p>\n"
}
return ""
}
}
// htmlTable renders a table node as an HTML <table>. tableHeader cells become
// <th>, tableCell cells become <td>; each cell's block children are flattened
// to inline HTML.
func htmlTable(n pmNode) string {
var b strings.Builder
b.WriteString("<table>\n")
for _, row := range n.Content {
if row.Type != "tableRow" {
continue
}
b.WriteString("<tr>")
for _, cell := range row.Content {
tag := "td"
if cell.Type == "tableHeader" {
tag = "th"
}
var inner strings.Builder
for _, c := range cell.Content {
if c.Type == "paragraph" {
inner.WriteString(htmlInline(c.Content))
} else {
inner.WriteString(htmlBlock(c))
}
}
b.WriteString("<" + tag + ">" + inner.String() + "</" + tag + ">")
}
b.WriteString("</tr>\n")
}
b.WriteString("</table>\n")
return b.String()
}
func htmlInline(nodes []pmNode) string {
var b strings.Builder
for _, n := range nodes {
switch n.Type {
case "text":
b.WriteString(applyHTMLMarks(n))
case "hardBreak":
b.WriteString("<br>")
default:
b.WriteString(htmlInline(n.Content))
}
}
return b.String()
}
func applyHTMLMarks(n pmNode) string {
t := htmlEscape(n.Text)
if n.hasMark("code") {
return "<code>" + t + "</code>"
}
if n.hasMark("bold") {
t = "<strong>" + t + "</strong>"
}
if n.hasMark("italic") {
t = "<em>" + t + "</em>"
}
if n.hasMark("underline") {
t = "<u>" + t + "</u>"
}
if n.hasMark("strike") {
t = "<s>" + t + "</s>"
}
if n.hasMark("highlight") {
t = "<mark>" + t + "</mark>"
}
if href := n.markAttr("link", "href"); href != "" {
t = fmt.Sprintf("<a href=\"%s\">%s</a>", htmlEscape(href), t)
}
return t
}
func clampHeading(level int) int {
if level < 1 {
return 1
}
if level > 6 {
return 6
}
return level
}
// --- DOCX -------------------------------------------------------------------
// renderDocx builds a minimal but valid .docx (Office Open XML) in pure Go: a
// zip of the few XML parts Word needs. Bold/italic/underline/strike map to run
// properties; headings use Word's built-in styles; lists are rendered with a
// bullet/number prefix (no numbering.xml dependency). CJK renders with the
// reader's own fonts, so no font embedding is required.
func renderDocx(doc db.Document) ([]byte, error) {
root := parseDoc(doc)
var body strings.Builder
body.WriteString(docxHeading(doc.Title, 1))
for _, child := range root.Content {
body.WriteString(docxBlock(child))
}
document := xmlHeader + `<w:document xmlns:w="http://schemas.openxmlformats.org/wordprocessingml/2006/main">` +
`<w:body>` + body.String() +
`<w:sectPr><w:pgSz w:w="11906" w:h="16838"/><w:pgMar w:top="1440" w:bottom="1440" w:left="1440" w:right="1440"/></w:sectPr>` +
`</w:body></w:document>`
var buf bytes.Buffer
zw := zip.NewWriter(&buf)
parts := []struct{ name, content string }{
{"[Content_Types].xml", docxContentTypes},
{"_rels/.rels", docxRootRels},
{"word/_rels/document.xml.rels", docxDocRels},
{"word/document.xml", document},
}
for _, p := range parts {
fw, err := zw.Create(p.name)
if err != nil {
return nil, err
}
if _, err := fw.Write([]byte(p.content)); err != nil {
return nil, err
}
}
if err := zw.Close(); err != nil {
return nil, err
}
return buf.Bytes(), nil
}
const (
xmlHeader = `<?xml version="1.0" encoding="UTF-8" standalone="yes"?>` + "\n"
docxContentTypes = xmlHeader + `<Types xmlns="http://schemas.openxmlformats.org/package/2006/content-types">` +
`<Default Extension="rels" ContentType="application/vnd.openxmlformats-package.relationships+xml"/>` +
`<Default Extension="xml" ContentType="application/xml"/>` +
`<Override PartName="/word/document.xml" ContentType="application/vnd.openxmlformats-officedocument.wordprocessingml.document.main+xml"/>` +
`</Types>`
docxRootRels = xmlHeader + `<Relationships xmlns="http://schemas.openxmlformats.org/package/2006/relationships">` +
`<Relationship Id="rId1" Type="http://schemas.openxmlformats.org/officeDocument/2006/relationships/officeDocument" Target="word/document.xml"/>` +
`</Relationships>`
docxDocRels = xmlHeader + `<Relationships xmlns="http://schemas.openxmlformats.org/package/2006/relationships"></Relationships>`
)
func docxBlock(n pmNode) string {
switch n.Type {
case "heading":
return docxHeading(textContent(n), n.level())
case "paragraph":
return docxPara(n, "")
case "blockquote":
var b strings.Builder
for _, c := range n.Content {
b.WriteString(docxPara(c, "Quote"))
}
return b.String()
case "codeBlock":
// One paragraph per line preserves layout without a code style.
var b strings.Builder
for _, line := range strings.Split(textContent(n), "\n") {
b.WriteString(`<w:p><w:r><w:rPr><w:rFonts w:ascii="Consolas" w:hAnsi="Consolas"/></w:rPr>` +
`<w:t xml:space="preserve">` + xmlEscape(line) + `</w:t></w:r></w:p>`)
}
return b.String()
case "horizontalRule":
return `<w:p><w:pPr><w:pBdr><w:bottom w:val="single" w:sz="6" w:space="1" w:color="auto"/></w:pBdr></w:pPr></w:p>`
case "image":
// Image bytes aren't embedded (that needs media parts); leave a labeled
// placeholder so the reader knows an image belonged here.
label := n.attrStr("alt")
if label == "" {
label = "image"
}
return docxPara(pmNode{Content: []pmNode{{Type: "text", Text: "[" + label + "]", Marks: []pmMark{{Type: "italic"}}}}}, "")
case "table":
return docxTable(n)
case "bulletList", "orderedList":
var b strings.Builder
for i, item := range n.Content {
prefix := "• "
if n.Type == "orderedList" {
prefix = fmt.Sprintf("%d. ", i+1)
}
for _, c := range item.Content {
b.WriteString(docxPara(c, "", prefix))
}
}
return b.String()
default:
if len(n.Content) > 0 {
return docxPara(n, "")
}
return ""
}
}
// docxTable renders a table node as a Word table (w:tbl) with single-line
// borders. Header cells get a shaded background; every cell's block children are
// rendered as paragraphs inside the cell.
func docxTable(n pmNode) string {
var b strings.Builder
b.WriteString(`<w:tbl><w:tblPr><w:tblStyle w:val="TableGrid"/><w:tblW w:w="0" w:type="auto"/>` +
`<w:tblBorders>` +
`<w:top w:val="single" w:sz="4" w:space="0" w:color="auto"/>` +
`<w:left w:val="single" w:sz="4" w:space="0" w:color="auto"/>` +
`<w:bottom w:val="single" w:sz="4" w:space="0" w:color="auto"/>` +
`<w:right w:val="single" w:sz="4" w:space="0" w:color="auto"/>` +
`<w:insideH w:val="single" w:sz="4" w:space="0" w:color="auto"/>` +
`<w:insideV w:val="single" w:sz="4" w:space="0" w:color="auto"/>` +
`</w:tblBorders></w:tblPr>`)
for _, row := range n.Content {
if row.Type != "tableRow" {
continue
}
b.WriteString("<w:tr>")
for _, cell := range row.Content {
b.WriteString("<w:tc><w:tcPr>")
if cell.Type == "tableHeader" {
b.WriteString(`<w:shd w:val="clear" w:color="auto" w:fill="FFF0F5"/>`)
}
b.WriteString("</w:tcPr>")
// A cell must contain at least one paragraph to be valid.
if len(cell.Content) == 0 {
b.WriteString("<w:p/>")
}
for _, c := range cell.Content {
b.WriteString(docxBlock(c))
}
b.WriteString("</w:tc>")
}
b.WriteString("</w:tr>")
}
b.WriteString("</w:tbl>")
// Word needs a paragraph after a table; otherwise consecutive tables merge.
b.WriteString("<w:p/>")
return b.String()
}
// docxPara renders a block's inline children as a Word paragraph. An optional
// style name (e.g. "Quote") and an optional literal text prefix (for list
// markers) may be supplied.
func docxPara(n pmNode, style string, prefix ...string) string {
var b strings.Builder
b.WriteString("<w:p>")
if style != "" {
b.WriteString(`<w:pPr><w:pStyle w:val="` + style + `"/></w:pPr>`)
}
if len(prefix) > 0 && prefix[0] != "" {
b.WriteString(docxRun(pmNode{Type: "text", Text: prefix[0]}))
}
b.WriteString(docxInline(n.Content))
b.WriteString("</w:p>")
return b.String()
}
func docxHeading(text string, level int) string {
return `<w:p><w:pPr><w:pStyle w:val="Heading` + fmt.Sprintf("%d", clampHeading(level)) + `"/></w:pPr>` +
docxRun(pmNode{Type: "text", Text: text}) + `</w:p>`
}
func docxInline(nodes []pmNode) string {
var b strings.Builder
for _, n := range nodes {
switch n.Type {
case "text":
b.WriteString(docxRun(n))
case "hardBreak":
b.WriteString(`<w:r><w:br/></w:r>`)
default:
b.WriteString(docxInline(n.Content))
}
}
return b.String()
}
func docxRun(n pmNode) string {
var props strings.Builder
if n.hasMark("bold") {
props.WriteString("<w:b/>")
}
if n.hasMark("italic") {
props.WriteString("<w:i/>")
}
if n.hasMark("underline") {
props.WriteString(`<w:u w:val="single"/>`)
}
if n.hasMark("strike") {
props.WriteString("<w:strike/>")
}
if n.hasMark("highlight") {
// Word's text highlight only supports a fixed palette of named colors.
props.WriteString(`<w:highlight w:val="yellow"/>`)
}
if n.markAttr("link", "href") != "" {
// Without hyperlink relationships, style links as blue underlined text so
// they at least read as links (the URL itself is preserved in md/html).
props.WriteString(`<w:color w:val="2563EB"/><w:u w:val="single"/>`)
}
rpr := ""
if props.Len() > 0 {
rpr = "<w:rPr>" + props.String() + "</w:rPr>"
}
return `<w:r>` + rpr + `<w:t xml:space="preserve">` + xmlEscape(n.Text) + `</w:t></w:r>`
}
// --- small helpers ----------------------------------------------------------
func htmlEscape(s string) string {
r := strings.NewReplacer("&", "&amp;", "<", "&lt;", ">", "&gt;", `"`, "&quot;", "'", "&#39;")
return r.Replace(s)
}
func xmlEscape(s string) string {
r := strings.NewReplacer("&", "&amp;", "<", "&lt;", ">", "&gt;", `"`, "&quot;")
return r.Replace(s)
}
// sanitizeFilename makes a title safe as a download filename, preserving CJK and
// most letters while dropping path separators and control characters.
func sanitizeFilename(title string) string {
title = strings.TrimSpace(title)
if title == "" {
return "untitled"
}
var b strings.Builder
for _, r := range title {
switch {
case r < 0x20, r == '/', r == '\\', r == ':', r == '*', r == '?', r == '"', r == '<', r == '>', r == '|':
b.WriteRune('-')
default:
b.WriteRune(r)
}
}
out := strings.TrimSpace(b.String())
if out == "" {
return "untitled"
}
return out
}
// urlEscapeFilename percent-encodes a filename for the RFC 5987 filename*=
// Content-Disposition form, which carries UTF-8 (CJK titles) safely.
func urlEscapeFilename(s string) string {
var b strings.Builder
for _, c := range []byte(s) {
if (c >= 'A' && c <= 'Z') || (c >= 'a' && c <= 'z') || (c >= '0' && c <= '9') ||
c == '-' || c == '_' || c == '.' || c == '~' {
b.WriteByte(c)
} else {
fmt.Fprintf(&b, "%%%02X", c)
}
}
return b.String()
}

View File

@@ -0,0 +1,245 @@
package docs
import (
"archive/zip"
"bytes"
"encoding/json"
"io"
"net/http"
"strings"
"testing"
)
// richDocJSON is a Tiptap document exercising headings, marks, and a list —
// including CJK text, which every format must carry through intact.
const richDocJSON = `{"type":"doc","content":[` +
`{"type":"heading","attrs":{"level":2},"content":[{"type":"text","text":"My Section"}]},` +
`{"type":"paragraph","content":[{"type":"text","text":"Hello "},{"type":"text","marks":[{"type":"bold"}],"text":"world"},{"type":"text","text":" 你好"}]},` +
`{"type":"bulletList","content":[` +
`{"type":"listItem","content":[{"type":"paragraph","content":[{"type":"text","text":"first"}]}]},` +
`{"type":"listItem","content":[{"type":"paragraph","content":[{"type":"text","text":"second"}]}]}` +
`]}` +
`]}`
func seedRichDoc(t *testing.T, srv http.Handler) string {
t.Helper()
id := newDoc(t, srv)
body := `{"title":"日记 Diary","content":` + jsonString(richDocJSON) + `,"content_text":"My Section\nHello world 你好\nfirst\nsecond","word_count":6}`
if rec := do(t, srv, http.MethodPut, "/"+id, body); rec.Code != http.StatusOK {
t.Fatalf("seed rich doc: code=%d body=%s", rec.Code, rec.Body)
}
return id
}
// jsonString quotes a string as a JSON string literal (so the Tiptap JSON can be
// embedded as the "content" field value).
func jsonString(s string) string {
b, _ := json.Marshal(s)
return string(b)
}
func TestExportMarkdown(t *testing.T) {
srv := newTestServer(t)
id := seedRichDoc(t, srv)
rec := do(t, srv, http.MethodGet, "/"+id+"/export?format=md", "")
if rec.Code != http.StatusOK {
t.Fatalf("export md: code=%d body=%s", rec.Code, rec.Body)
}
if ct := rec.Header().Get("Content-Type"); !strings.HasPrefix(ct, "text/markdown") {
t.Fatalf("unexpected content-type: %q", ct)
}
out := rec.Body.String()
for _, want := range []string{"## My Section", "**world**", "你好", "- first", "- second"} {
if !strings.Contains(out, want) {
t.Fatalf("markdown missing %q in:\n%s", want, out)
}
}
// CJK filename must survive in the RFC 5987 form.
if cd := rec.Header().Get("Content-Disposition"); !strings.Contains(cd, "filename*=UTF-8''") {
t.Fatalf("expected RFC 5987 filename, got %q", cd)
}
}
func TestExportAll(t *testing.T) {
srv := newTestServer(t)
// Two docs, one with a duplicate title to exercise filename de-duplication.
seedRichDoc(t, srv)
id2 := newDoc(t, srv)
if rec := do(t, srv, http.MethodPut, "/"+id2, `{"title":"日记 Diary","content":`+jsonString(richDocJSON)+`,"content_text":"x","word_count":1}`); rec.Code != http.StatusOK {
t.Fatalf("seed second doc: %d %s", rec.Code, rec.Body)
}
rec := do(t, srv, http.MethodGet, "/export-all?format=md", "")
if rec.Code != http.StatusOK {
t.Fatalf("export-all: code=%d body=%s", rec.Code, rec.Body)
}
if ct := rec.Header().Get("Content-Type"); ct != "application/zip" {
t.Fatalf("unexpected content-type: %q", ct)
}
zr, err := zip.NewReader(bytes.NewReader(rec.Body.Bytes()), int64(rec.Body.Len()))
if err != nil {
t.Fatalf("zip open: %v", err)
}
if len(zr.File) != 2 {
t.Fatalf("expected 2 files in backup, got %d", len(zr.File))
}
names := map[string]bool{}
for _, f := range zr.File {
names[f.Name] = true
rc, _ := f.Open()
b, _ := io.ReadAll(rc)
rc.Close()
if !strings.Contains(string(b), "你好") {
t.Fatalf("backup entry %q missing CJK body", f.Name)
}
}
// The duplicate title must have been disambiguated, not overwritten.
if !names["日记 Diary.md"] || !names["日记 Diary (1).md"] {
t.Fatalf("expected de-duplicated filenames, got %v", names)
}
}
func TestExportHTML(t *testing.T) {
srv := newTestServer(t)
id := seedRichDoc(t, srv)
rec := do(t, srv, http.MethodGet, "/"+id+"/export?format=html", "")
out := rec.Body.String()
for _, want := range []string{"<!doctype html>", "<h2>My Section</h2>", "<strong>world</strong>", "你好", "<li>first</li>"} {
if !strings.Contains(out, want) {
t.Fatalf("html missing %q", want)
}
}
}
func TestExportPlainText(t *testing.T) {
srv := newTestServer(t)
id := seedRichDoc(t, srv)
rec := do(t, srv, http.MethodGet, "/"+id+"/export?format=txt", "")
out := rec.Body.String()
for _, want := range []string{"My Section", "Hello world 你好", "• first"} {
if !strings.Contains(out, want) {
t.Fatalf("txt missing %q in:\n%s", want, out)
}
}
}
func TestExportDocx(t *testing.T) {
srv := newTestServer(t)
id := seedRichDoc(t, srv)
rec := do(t, srv, http.MethodGet, "/"+id+"/export?format=docx", "")
if rec.Code != http.StatusOK {
t.Fatalf("export docx: code=%d", rec.Code)
}
raw := rec.Body.Bytes()
zr, err := zip.NewReader(bytes.NewReader(raw), int64(len(raw)))
if err != nil {
t.Fatalf("docx is not a valid zip: %v", err)
}
want := map[string]bool{"[Content_Types].xml": false, "word/document.xml": false}
var docXML string
for _, f := range zr.File {
if _, ok := want[f.Name]; ok {
want[f.Name] = true
}
if f.Name == "word/document.xml" {
rc, _ := f.Open()
b, _ := io.ReadAll(rc)
rc.Close()
docXML = string(b)
}
}
for name, found := range want {
if !found {
t.Fatalf("docx missing part %q", name)
}
}
for _, w := range []string{"My Section", "你好", "<w:b/>", "Heading2"} {
if !strings.Contains(docXML, w) {
t.Fatalf("document.xml missing %q", w)
}
}
}
// richDocJSON2 exercises the newer node/mark types: links, highlight, an image,
// and a table (with a header row). Each export format should carry them through.
const richDocJSON2 = `{"type":"doc","content":[` +
`{"type":"paragraph","content":[` +
`{"type":"text","marks":[{"type":"link","attrs":{"href":"https://petal.test"}}],"text":"site"},` +
`{"type":"text","text":" and "},` +
`{"type":"text","marks":[{"type":"highlight","attrs":{"color":"#FFF1A8"}}],"text":"lit"}` +
`]},` +
`{"type":"image","attrs":{"src":"/api/images/abc123.png","alt":"a cat"}},` +
`{"type":"table","content":[` +
`{"type":"tableRow","content":[` +
`{"type":"tableHeader","content":[{"type":"paragraph","content":[{"type":"text","text":"Name"}]}]},` +
`{"type":"tableHeader","content":[{"type":"paragraph","content":[{"type":"text","text":"年龄"}]}]}` +
`]},` +
`{"type":"tableRow","content":[` +
`{"type":"tableCell","content":[{"type":"paragraph","content":[{"type":"text","text":"Mei"}]}]},` +
`{"type":"tableCell","content":[{"type":"paragraph","content":[{"type":"text","text":"30"}]}]}` +
`]}` +
`]}` +
`]}`
func seedRichDoc2(t *testing.T, srv http.Handler) string {
t.Helper()
id := newDoc(t, srv)
body := `{"title":"Rich2","content":` + jsonString(richDocJSON2) + `,"content_text":"site and lit\nName 年龄 Mei 30","word_count":6}`
if rec := do(t, srv, http.MethodPut, "/"+id, body); rec.Code != http.StatusOK {
t.Fatalf("seed rich doc 2: code=%d body=%s", rec.Code, rec.Body)
}
return id
}
func TestExportLinksImagesTables(t *testing.T) {
srv := newTestServer(t)
id := seedRichDoc2(t, srv)
md := do(t, srv, http.MethodGet, "/"+id+"/export?format=md", "").Body.String()
for _, want := range []string{"[site](https://petal.test)", "![a cat](/api/images/abc123.png)", "| Name | 年龄 |", "| --- | --- |", "| Mei | 30 |"} {
if !strings.Contains(md, want) {
t.Fatalf("markdown missing %q in:\n%s", want, md)
}
}
html := do(t, srv, http.MethodGet, "/"+id+"/export?format=html", "").Body.String()
for _, want := range []string{`<a href="https://petal.test">site</a>`, "<mark>lit</mark>", `<img src="/api/images/abc123.png" alt="a cat">`, "<th>Name</th>", "<td>Mei</td>"} {
if !strings.Contains(html, want) {
t.Fatalf("html missing %q in:\n%s", want, html)
}
}
docx := do(t, srv, http.MethodGet, "/"+id+"/export?format=docx", "")
raw := docx.Body.Bytes()
zr, err := zip.NewReader(bytes.NewReader(raw), int64(len(raw)))
if err != nil {
t.Fatalf("docx not a zip: %v", err)
}
var docXML string
for _, f := range zr.File {
if f.Name == "word/document.xml" {
rc, _ := f.Open()
b, _ := io.ReadAll(rc)
rc.Close()
docXML = string(b)
}
}
for _, want := range []string{"<w:tbl>", "Name", "年龄", "[a cat]", "<w:highlight"} {
if !strings.Contains(docXML, want) {
t.Fatalf("docx document.xml missing %q", want)
}
}
}
func TestExportUnsupportedFormat(t *testing.T) {
srv := newTestServer(t)
id := newDoc(t, srv)
if rec := do(t, srv, http.MethodGet, "/"+id+"/export?format=pdf", ""); rec.Code != http.StatusBadRequest {
t.Fatalf("expected 400 for unsupported format, got %d", rec.Code)
}
}

242
internal/docs/handlers.go Normal file
View File

@@ -0,0 +1,242 @@
// Package docs implements the document CRUD HTTP handlers — the create / list /
// read / update / delete surface that backs the editor and its 1.5s auto-save.
// All access is scoped to the single hardcoded local user while auth is deferred.
package docs
import (
"database/sql"
"encoding/json"
"errors"
"log"
"net/http"
"github.com/go-chi/chi/v5"
"gitea.parodia.dev/drwily/petal/internal/db"
)
// Handler holds the dependencies shared by every document route.
type Handler struct {
DB *db.DB
}
// New constructs a Handler.
func New(database *db.DB) *Handler {
return &Handler{DB: database}
}
// Routes returns a router mounting the document CRUD endpoints. Mount it under
// "/docs" so the full paths are /api/docs, /api/docs/{id}, etc.
func (h *Handler) Routes() chi.Router {
r := chi.NewRouter()
r.Get("/", h.list)
r.Post("/", h.create)
r.Get("/{id}", h.get)
r.Put("/{id}", h.update)
r.Delete("/{id}", h.delete)
h.versionRoutes(r)
h.exportRoutes(r)
h.registerTagRoutes(r)
return r
}
// docSummary is the lightweight shape returned by the list endpoint — enough to
// render the DocList sidebar without shipping every document's full body. Tags
// ride along so the sidebar can show chips and filter without a second request.
type docSummary struct {
ID string `json:"id"`
Title string `json:"title"`
WordCount int `json:"word_count"`
UpdatedAt string `json:"updated_at"`
Tags []db.Tag `json:"tags"`
}
// list returns the local user's documents, most-recently-updated first, each
// decorated with its tags.
func (h *Handler) list(w http.ResponseWriter, r *http.Request) {
rows, err := h.DB.Query(
`SELECT id, title, word_count, updated_at
FROM documents
WHERE user_id = ?
ORDER BY updated_at DESC`,
db.LocalUserID,
)
if err != nil {
serverError(w, err)
return
}
defer rows.Close()
out := []docSummary{} // non-nil so an empty list serializes as [] not null
ids := []string{}
for rows.Next() {
var d docSummary
if err := rows.Scan(&d.ID, &d.Title, &d.WordCount, &d.UpdatedAt); err != nil {
serverError(w, err)
return
}
out = append(out, d)
ids = append(ids, d.ID)
}
if err := rows.Err(); err != nil {
serverError(w, err)
return
}
byDoc, err := h.tagsByDoc(ids)
if err != nil {
serverError(w, err)
return
}
for i := range out {
out[i].Tags = byDoc[out[i].ID] // nil → JSON null is fine; client treats as none
if out[i].Tags == nil {
out[i].Tags = []db.Tag{}
}
}
writeJSON(w, http.StatusOK, out)
}
// create inserts a fresh blank document and returns it in full.
func (h *Handler) create(w http.ResponseWriter, r *http.Request) {
var doc db.Document
err := h.DB.QueryRow(
`INSERT INTO documents (user_id) VALUES (?)
RETURNING id, user_id, title, content, content_text, tone, word_count, created_at, updated_at`,
db.LocalUserID,
).Scan(
&doc.ID, &doc.UserID, &doc.Title, &doc.Content, &doc.ContentText,
&doc.Tone, &doc.WordCount, &doc.CreatedAt, &doc.UpdatedAt,
)
if err != nil {
serverError(w, err)
return
}
writeJSON(w, http.StatusCreated, doc)
}
// get returns a single full document by id.
func (h *Handler) get(w http.ResponseWriter, r *http.Request) {
doc, err := h.fetch(chi.URLParam(r, "id"))
if errors.Is(err, sql.ErrNoRows) {
notFound(w)
return
}
if err != nil {
serverError(w, err)
return
}
writeJSON(w, http.StatusOK, doc)
}
// updateRequest is the auto-save payload. Every field is optional (a pointer) so
// the same endpoint serves both the editor's full save ({content, content_text,
// word_count, title}) and a DocList rename ({title} alone).
type updateRequest struct {
Title *string `json:"title"`
Content *string `json:"content"`
ContentText *string `json:"content_text"`
Tone *string `json:"tone"`
WordCount *int `json:"word_count"`
}
// update applies the provided fields to a document and returns the saved row.
// content and content_text are kept in sync by the client and written together.
func (h *Handler) update(w http.ResponseWriter, r *http.Request) {
id := chi.URLParam(r, "id")
var req updateRequest
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
badRequest(w, "invalid JSON body")
return
}
res, err := h.DB.Exec(
`UPDATE documents
SET title = COALESCE(?, title),
content = COALESCE(?, content),
content_text = COALESCE(?, content_text),
tone = COALESCE(?, tone),
word_count = COALESCE(?, word_count),
updated_at = CURRENT_TIMESTAMP
WHERE id = ? AND user_id = ?`,
req.Title, req.Content, req.ContentText, req.Tone, req.WordCount, id, db.LocalUserID,
)
if err != nil {
serverError(w, err)
return
}
if n, _ := res.RowsAffected(); n == 0 {
notFound(w)
return
}
doc, err := h.fetch(id)
if err != nil {
serverError(w, err)
return
}
// Capture a throttled history snapshot when a real body save came through
// (not a bare rename) and the document has content. Best-effort: a failed
// snapshot must never fail the save itself.
if req.Content != nil && doc.ContentText != "" {
if err := h.maybeAutoSnapshot(doc); err != nil {
log.Printf("docs: auto-snapshot for %s failed: %v", id, err)
}
}
writeJSON(w, http.StatusOK, doc)
}
// delete removes a document (suggestions cascade via the FK).
func (h *Handler) delete(w http.ResponseWriter, r *http.Request) {
res, err := h.DB.Exec(
`DELETE FROM documents WHERE id = ? AND user_id = ?`,
chi.URLParam(r, "id"), db.LocalUserID,
)
if err != nil {
serverError(w, err)
return
}
if n, _ := res.RowsAffected(); n == 0 {
notFound(w)
return
}
w.WriteHeader(http.StatusNoContent)
}
// fetch loads one full document scoped to the local user.
func (h *Handler) fetch(id string) (db.Document, error) {
var doc db.Document
err := h.DB.QueryRow(
`SELECT id, user_id, title, content, content_text, tone, word_count, created_at, updated_at
FROM documents
WHERE id = ? AND user_id = ?`,
id, db.LocalUserID,
).Scan(
&doc.ID, &doc.UserID, &doc.Title, &doc.Content, &doc.ContentText,
&doc.Tone, &doc.WordCount, &doc.CreatedAt, &doc.UpdatedAt,
)
return doc, err
}
// --- small response helpers -------------------------------------------------
func writeJSON(w http.ResponseWriter, status int, v any) {
w.Header().Set("Content-Type", "application/json")
w.WriteHeader(status)
_ = json.NewEncoder(w).Encode(v)
}
func errorJSON(w http.ResponseWriter, status int, msg string) {
writeJSON(w, status, map[string]string{"error": msg})
}
func serverError(w http.ResponseWriter, err error) {
errorJSON(w, http.StatusInternalServerError, err.Error())
}
func badRequest(w http.ResponseWriter, msg string) { errorJSON(w, http.StatusBadRequest, msg) }
func notFound(w http.ResponseWriter) { errorJSON(w, http.StatusNotFound, "document not found") }
func notFoundMsg(w http.ResponseWriter, msg string) { errorJSON(w, http.StatusNotFound, msg) }

View File

@@ -0,0 +1,103 @@
package docs
import (
"bytes"
"encoding/json"
"net/http"
"net/http/httptest"
"path/filepath"
"testing"
"gitea.parodia.dev/drwily/petal/internal/db"
)
// newTestServer spins up an isolated on-disk database and the docs router.
func newTestServer(t *testing.T) http.Handler {
t.Helper()
database, err := db.Open(filepath.Join(t.TempDir(), "test.db"))
if err != nil {
t.Fatalf("open db: %v", err)
}
t.Cleanup(func() { database.Close() })
return New(database).Routes()
}
func do(t *testing.T, srv http.Handler, method, path, body string) *httptest.ResponseRecorder {
t.Helper()
var r *http.Request
if body != "" {
r = httptest.NewRequest(method, path, bytes.NewBufferString(body))
} else {
r = httptest.NewRequest(method, path, nil)
}
rec := httptest.NewRecorder()
srv.ServeHTTP(rec, r)
return rec
}
func TestDocumentCRUD(t *testing.T) {
srv := newTestServer(t)
// Empty list serializes as [].
rec := do(t, srv, http.MethodGet, "/", "")
if rec.Code != http.StatusOK || bytes.TrimSpace(rec.Body.Bytes())[0] != '[' {
t.Fatalf("list empty: code=%d body=%s", rec.Code, rec.Body)
}
// Create.
rec = do(t, srv, http.MethodPost, "/", "")
if rec.Code != http.StatusCreated {
t.Fatalf("create: code=%d body=%s", rec.Code, rec.Body)
}
var created db.Document
if err := json.Unmarshal(rec.Body.Bytes(), &created); err != nil {
t.Fatalf("decode create: %v", err)
}
if created.ID == "" || created.Title != "Untitled" {
t.Fatalf("unexpected created doc: %+v", created)
}
// Update (auto-save shape) keeps content + content_text + word count together.
body := `{"title":"My Essay","content":"{\"x\":1}","content_text":"hello world","word_count":2}`
rec = do(t, srv, http.MethodPut, "/"+created.ID, body)
if rec.Code != http.StatusOK {
t.Fatalf("update: code=%d body=%s", rec.Code, rec.Body)
}
var updated db.Document
_ = json.Unmarshal(rec.Body.Bytes(), &updated)
if updated.Title != "My Essay" || updated.ContentText != "hello world" || updated.WordCount != 2 {
t.Fatalf("update not applied: %+v", updated)
}
// Partial update (rename only) leaves other fields intact.
rec = do(t, srv, http.MethodPut, "/"+created.ID, `{"title":"Renamed"}`)
_ = json.Unmarshal(rec.Body.Bytes(), &updated)
if updated.Title != "Renamed" || updated.WordCount != 2 {
t.Fatalf("partial update clobbered fields: %+v", updated)
}
// Get.
rec = do(t, srv, http.MethodGet, "/"+created.ID, "")
if rec.Code != http.StatusOK {
t.Fatalf("get: code=%d", rec.Code)
}
// List now has one entry.
rec = do(t, srv, http.MethodGet, "/", "")
var summaries []docSummary
_ = json.Unmarshal(rec.Body.Bytes(), &summaries)
if len(summaries) != 1 || summaries[0].Title != "Renamed" {
t.Fatalf("list after create: %+v", summaries)
}
// Delete, then 404 on subsequent get/delete.
if rec = do(t, srv, http.MethodDelete, "/"+created.ID, ""); rec.Code != http.StatusNoContent {
t.Fatalf("delete: code=%d", rec.Code)
}
if rec = do(t, srv, http.MethodGet, "/"+created.ID, ""); rec.Code != http.StatusNotFound {
t.Fatalf("get after delete: code=%d", rec.Code)
}
if rec = do(t, srv, http.MethodPut, "/missing", `{"title":"x"}`); rec.Code != http.StatusNotFound {
t.Fatalf("update missing: code=%d", rec.Code)
}
}

261
internal/docs/search.go Normal file
View File

@@ -0,0 +1,261 @@
package docs
import (
"net/http"
"strings"
"unicode/utf8"
"github.com/go-chi/chi/v5"
"gitea.parodia.dev/drwily/petal/internal/db"
)
// Search snippet shaping.
const (
// ftsMinRunes is the shortest query the trigram FTS index can match. Shorter
// queries (common for 2-character Chinese words) fall back to a LIKE scan.
ftsMinRunes = 3
// snippetContext is how many runes of context to show on each side of the
// matched term in a result snippet.
snippetContext = 28
// maxSearchResults caps how many hits we return — plenty for a personal
// corpus, and keeps the response small.
maxSearchResults = 50
// hlStart/hlEnd wrap the matched span in a snippet. They're control-character
// sentinels that never occur in real text, so the client can split on them to
// highlight the match without escaping user content.
hlStart = "\x01"
hlEnd = "\x02"
)
// searchResult is one hit: a document summary plus a highlighted snippet showing
// where the query matched.
type searchResult struct {
ID string `json:"id"`
Title string `json:"title"`
WordCount int `json:"word_count"`
UpdatedAt string `json:"updated_at"`
Snippet string `json:"snippet"`
Tags []db.Tag `json:"tags"`
}
// SearchRoutes returns the router mounted at /api/search.
func (h *Handler) SearchRoutes() chi.Router {
r := chi.NewRouter()
r.Get("/", h.search)
return r
}
// search runs a cross-document full-text search for the local user. Queries of
// three or more runes use the trigram FTS index (fast, ranked); shorter queries
// fall back to a LIKE scan so 2-character Chinese words still resolve. Either way
// the snippet is built in Go from the original text, for clean word boundaries
// and a uniform highlight format.
func (h *Handler) search(w http.ResponseWriter, r *http.Request) {
q := strings.TrimSpace(r.URL.Query().Get("q"))
if q == "" {
writeJSON(w, http.StatusOK, []searchResult{})
return
}
type row struct {
id, title, contentText, updatedAt string
wordCount int
}
var rows []row
if utf8.RuneCountInString(q) >= ftsMinRunes {
// Wrap the whole query as one FTS phrase (doubling embedded quotes), so
// special characters are treated literally and trigram does a contiguous
// substring match.
phrase := `"` + strings.ReplaceAll(q, `"`, `""`) + `"`
sqlRows, err := h.DB.Query(
`SELECT d.id, d.title, d.content_text, d.word_count, d.updated_at
FROM documents_fts f
JOIN documents d ON d.id = f.doc_id
WHERE documents_fts MATCH ? AND d.user_id = ?
ORDER BY rank
LIMIT ?`,
phrase, db.LocalUserID, maxSearchResults,
)
if err != nil {
serverError(w, err)
return
}
defer sqlRows.Close()
for sqlRows.Next() {
var rw row
if err := sqlRows.Scan(&rw.id, &rw.title, &rw.contentText, &rw.wordCount, &rw.updatedAt); err != nil {
serverError(w, err)
return
}
rows = append(rows, rw)
}
if err := sqlRows.Err(); err != nil {
serverError(w, err)
return
}
} else {
// Short query: LIKE scan over title + body. Escape LIKE wildcards so a
// literal % or _ in the query matches itself.
like := "%" + escapeLike(q) + "%"
sqlRows, err := h.DB.Query(
`SELECT id, title, content_text, word_count, updated_at
FROM documents
WHERE user_id = ?
AND (title LIKE ? ESCAPE '\' OR content_text LIKE ? ESCAPE '\')
ORDER BY updated_at DESC
LIMIT ?`,
db.LocalUserID, like, like, maxSearchResults,
)
if err != nil {
serverError(w, err)
return
}
defer sqlRows.Close()
for sqlRows.Next() {
var rw row
if err := sqlRows.Scan(&rw.id, &rw.title, &rw.contentText, &rw.wordCount, &rw.updatedAt); err != nil {
serverError(w, err)
return
}
rows = append(rows, rw)
}
if err := sqlRows.Err(); err != nil {
serverError(w, err)
return
}
}
out := make([]searchResult, 0, len(rows))
ids := make([]string, 0, len(rows))
for _, rw := range rows {
out = append(out, searchResult{
ID: rw.id,
Title: rw.title,
WordCount: rw.wordCount,
UpdatedAt: rw.updatedAt,
Snippet: buildSnippet(rw.title, rw.contentText, q),
})
ids = append(ids, rw.id)
}
byDoc, err := h.tagsByDoc(ids)
if err != nil {
serverError(w, err)
return
}
for i := range out {
out[i].Tags = byDoc[out[i].ID]
if out[i].Tags == nil {
out[i].Tags = []db.Tag{}
}
}
writeJSON(w, http.StatusOK, out)
}
// escapeLike escapes the LIKE metacharacters (% and _) and the escape character
// itself so the query is matched literally. Pairs with `ESCAPE '\'`.
func escapeLike(s string) string {
r := strings.NewReplacer(`\`, `\\`, `%`, `\%`, `_`, `\_`)
return r.Replace(s)
}
// buildSnippet returns a short excerpt around the first case-insensitive match of
// query, with the matched span wrapped in the hl sentinels. It prefers a body
// match (with surrounding context); if the query only appears in the title it
// highlights the title instead; otherwise it shows the body's opening so a result
// always shows something. Windowing is rune-aware so CJK is never split
// mid-character.
func buildSnippet(title, body, query string) string {
runes := []rune(body)
qLen := utf8.RuneCountInString(query)
if idx := runeIndexFold(runes, query); idx >= 0 {
start := idx - snippetContext
if start < 0 {
start = 0
}
end := idx + qLen + snippetContext
if end > len(runes) {
end = len(runes)
}
var b strings.Builder
if start > 0 {
b.WriteString("…")
}
b.WriteString(string(runes[start:idx]))
b.WriteString(hlStart)
b.WriteString(string(runes[idx : idx+qLen]))
b.WriteString(hlEnd)
b.WriteString(string(runes[idx+qLen : end]))
if end < len(runes) {
b.WriteString("…")
}
return b.String()
}
// Body had no literal match (title-only hit, or an FTS span the literal scan
// can't reproduce). Highlight the title if the query is there.
tRunes := []rune(title)
if idx := runeIndexFold(tRunes, query); idx >= 0 {
return string(tRunes[:idx]) + hlStart + string(tRunes[idx:idx+qLen]) + hlEnd + string(tRunes[idx+qLen:])
}
// Last resort: the body's opening as plain context.
return clip(runes, 0, 2*snippetContext+qLen)
}
// clip returns runes[start:start+n] (bounded), with a trailing ellipsis when the
// body continues. Used for the no-direct-match fallback.
func clip(runes []rune, start, n int) string {
if start >= len(runes) {
return ""
}
end := start + n
trailing := ""
if end < len(runes) {
trailing = "…"
} else {
end = len(runes)
}
return string(runes[start:end]) + trailing
}
// runeIndexFold finds the first index (in runes) where query occurs in runes,
// case-insensitively. Returns -1 if absent. Simple O(n*m) scan — fine for
// single-document snippet building.
func runeIndexFold(runes []rune, query string) int {
q := []rune(strings.ToLower(query))
if len(q) == 0 {
return -1
}
lower := make([]rune, len(runes))
for i, r := range runes {
lower[i] = toLowerRune(r)
}
for i := 0; i+len(q) <= len(lower); i++ {
match := true
for j := 0; j < len(q); j++ {
if lower[i+j] != q[j] {
match = false
break
}
}
if match {
return i
}
}
return -1
}
// toLowerRune lowercases ASCII letters (the only case-bearing script here); CJK
// and other runes pass through unchanged.
func toLowerRune(r rune) rune {
if r >= 'A' && r <= 'Z' {
return r + ('a' - 'A')
}
return r
}

View File

@@ -0,0 +1,111 @@
package docs
import (
"encoding/json"
"net/http"
"strings"
"testing"
)
func TestSearch(t *testing.T) {
srv := newFullServer(t)
createDoc(t, srv, "My Essay", "The quick brown fox jumps over the lazy dog")
createDoc(t, srv, "我的日记", "今天天气很好,我去公园散步,心情非常愉快")
createDoc(t, srv, "Notes", "groceries and errands for the weekend")
search := func(q string) []searchResult {
t.Helper()
rec := do(t, srv, http.MethodGet, "/search?q="+urlQuery(q), "")
if rec.Code != http.StatusOK {
t.Fatalf("search %q: %d %s", q, rec.Code, rec.Body)
}
var out []searchResult
if err := json.Unmarshal(rec.Body.Bytes(), &out); err != nil {
t.Fatalf("decode search %q: %v", q, err)
}
return out
}
// English, ≥3 chars → FTS path. Snippet wraps the match in sentinels.
res := search("quick")
if len(res) != 1 || res[0].Title != "My Essay" {
t.Fatalf("english search: %+v", res)
}
if !strings.Contains(res[0].Snippet, hlStart+"quick"+hlEnd) {
t.Fatalf("snippet not highlighted: %q", res[0].Snippet)
}
// Chinese, ≥3 chars → FTS path (trigram handles CJK).
res = search("天气很好")
if len(res) != 1 || res[0].Title != "我的日记" {
t.Fatalf("chinese fts search: %+v", res)
}
if !strings.Contains(res[0].Snippet, hlStart+"天气很好"+hlEnd) {
t.Fatalf("cjk snippet not highlighted: %q", res[0].Snippet)
}
// 2-character Chinese word → LIKE fallback (below the trigram minimum).
res = search("公园")
if len(res) != 1 || res[0].Title != "我的日记" {
t.Fatalf("cjk short (LIKE) search: %+v", res)
}
if !strings.Contains(res[0].Snippet, hlStart+"公园"+hlEnd) {
t.Fatalf("short cjk snippet not highlighted: %q", res[0].Snippet)
}
// Title-only match still returns the doc, highlighting the title.
res = search("Notes")
if len(res) != 1 || res[0].Title != "Notes" {
t.Fatalf("title search: %+v", res)
}
// Case-insensitive.
if got := search("QUICK"); len(got) != 1 {
t.Fatalf("case-insensitive search: %+v", got)
}
// No match → empty (non-nil) array.
if got := search("zzzznotthere"); len(got) != 0 {
t.Fatalf("expected no results, got %+v", got)
}
// Empty query → empty array, no error.
rec := do(t, srv, http.MethodGet, "/search?q=", "")
if rec.Code != http.StatusOK || strings.TrimSpace(rec.Body.String()) != "[]" {
t.Fatalf("empty query: %d %s", rec.Code, rec.Body)
}
// An edit re-indexes via the update trigger: the old term stops matching, the
// new term starts.
res = search("quick")
docID := res[0].ID
body := `{"content":"{}","content_text":"the slow purple turtle ambles along","word_count":6}`
do(t, srv, http.MethodPut, "/docs/"+docID, body)
if got := search("quick"); len(got) != 0 {
t.Fatalf("stale term still matches after edit: %+v", got)
}
if got := search("purple turtle"); len(got) != 1 || got[0].ID != docID {
t.Fatalf("new term not indexed after edit: %+v", got)
}
}
// urlQuery percent-encodes a search term for the query string.
func urlQuery(s string) string {
var b strings.Builder
for _, r := range []byte(s) {
if r == ' ' {
b.WriteByte('+')
} else if (r >= 'a' && r <= 'z') || (r >= 'A' && r <= 'Z') || (r >= '0' && r <= '9') {
b.WriteByte(r)
} else {
b.WriteString(percentByte(r))
}
}
return b.String()
}
func percentByte(b byte) string {
const hex = "0123456789ABCDEF"
return string([]byte{'%', hex[b>>4], hex[b&0xf]})
}

303
internal/docs/tags.go Normal file
View File

@@ -0,0 +1,303 @@
package docs
import (
"encoding/json"
"net/http"
"strings"
"github.com/go-chi/chi/v5"
"gitea.parodia.dev/drwily/petal/internal/db"
)
// validTagColors is the palette a tag may use, mirrored from the design tokens.
// An unknown color on input is coerced to rose so the UI always has a token.
var validTagColors = map[string]bool{
db.TagColorRose: true, db.TagColorMint: true, db.TagColorPeach: true,
db.TagColorLavender: true, db.TagColorSky: true, db.TagColorHoney: true,
}
func normalizeColor(c string) string {
if validTagColors[c] {
return c
}
return db.TagColorRose
}
// TagRoutes returns the router mounted at /api/tags for tag management (the
// roster the writer creates and recolors), separate from the per-document
// assignment routes registered on the docs router.
func (h *Handler) TagRoutes() chi.Router {
r := chi.NewRouter()
r.Get("/", h.listTags)
r.Post("/", h.createTag)
r.Patch("/{id}", h.updateTag)
r.Delete("/{id}", h.deleteTag)
return r
}
// registerTagRoutes adds the per-document tag assignment routes onto the docs
// sub-router so they resolve under /api/docs/{id}/tags.
func (h *Handler) registerTagRoutes(r chi.Router) {
r.Post("/{id}/tags", h.assignTag)
r.Delete("/{id}/tags/{tagId}", h.unassignTag)
}
// listTags returns the user's tags alphabetically, each with the number of
// documents that wear it (so the sidebar can show counts and hide empties later
// if desired).
func (h *Handler) listTags(w http.ResponseWriter, r *http.Request) {
rows, err := h.DB.Query(
`SELECT t.id, t.name, t.color, COUNT(dt.doc_id)
FROM tags t
LEFT JOIN document_tags dt ON dt.tag_id = t.id
WHERE t.user_id = ?
GROUP BY t.id
ORDER BY t.name COLLATE NOCASE`,
db.LocalUserID,
)
if err != nil {
serverError(w, err)
return
}
defer rows.Close()
out := []db.Tag{} // non-nil so an empty roster serializes as []
for rows.Next() {
var t db.Tag
if err := rows.Scan(&t.ID, &t.Name, &t.Color, &t.DocCount); err != nil {
serverError(w, err)
return
}
out = append(out, t)
}
if err := rows.Err(); err != nil {
serverError(w, err)
return
}
writeJSON(w, http.StatusOK, out)
}
type tagRequest struct {
Name string `json:"name"`
Color string `json:"color"`
}
// createTag adds a tag. It's idempotent on (user, name): re-creating an existing
// tag returns it unchanged rather than erroring, so the client can "create or
// reuse" in one call. Recoloring is done via updateTag.
func (h *Handler) createTag(w http.ResponseWriter, r *http.Request) {
var req tagRequest
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
badRequest(w, "invalid JSON body")
return
}
name := strings.TrimSpace(req.Name)
if name == "" {
badRequest(w, "tag name is required")
return
}
var t db.Tag
err := h.DB.QueryRow(
`INSERT INTO tags (user_id, name, color) VALUES (?, ?, ?)
ON CONFLICT(user_id, name) DO UPDATE SET name = excluded.name
RETURNING id, name, color`,
db.LocalUserID, name, normalizeColor(req.Color),
).Scan(&t.ID, &t.Name, &t.Color)
if err != nil {
serverError(w, err)
return
}
writeJSON(w, http.StatusCreated, t)
}
// updateTag renames and/or recolors a tag. Both fields optional via pointers so
// a recolor needn't resend the name.
func (h *Handler) updateTag(w http.ResponseWriter, r *http.Request) {
id := chi.URLParam(r, "id")
var req struct {
Name *string `json:"name"`
Color *string `json:"color"`
}
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
badRequest(w, "invalid JSON body")
return
}
var namePtr, colorPtr any
if req.Name != nil {
n := strings.TrimSpace(*req.Name)
if n == "" {
badRequest(w, "tag name cannot be empty")
return
}
namePtr = n
}
if req.Color != nil {
colorPtr = normalizeColor(*req.Color)
}
res, err := h.DB.Exec(
`UPDATE tags
SET name = COALESCE(?, name),
color = COALESCE(?, color)
WHERE id = ? AND user_id = ?`,
namePtr, colorPtr, id, db.LocalUserID,
)
if err != nil {
serverError(w, err)
return
}
if n, _ := res.RowsAffected(); n == 0 {
notFoundMsg(w, "tag not found")
return
}
var t db.Tag
if err := h.DB.QueryRow(
`SELECT id, name, color FROM tags WHERE id = ? AND user_id = ?`,
id, db.LocalUserID,
).Scan(&t.ID, &t.Name, &t.Color); err != nil {
serverError(w, err)
return
}
writeJSON(w, http.StatusOK, t)
}
// deleteTag removes a tag; its document assignments cascade away via the FK.
func (h *Handler) deleteTag(w http.ResponseWriter, r *http.Request) {
res, err := h.DB.Exec(
`DELETE FROM tags WHERE id = ? AND user_id = ?`,
chi.URLParam(r, "id"), db.LocalUserID,
)
if err != nil {
serverError(w, err)
return
}
if n, _ := res.RowsAffected(); n == 0 {
notFoundMsg(w, "tag not found")
return
}
w.WriteHeader(http.StatusNoContent)
}
// assignTag attaches a tag to a document. Both must belong to the local user;
// the assignment is idempotent (re-assigning is a no-op, not an error).
func (h *Handler) assignTag(w http.ResponseWriter, r *http.Request) {
docID := chi.URLParam(r, "id")
var req struct {
TagID string `json:"tag_id"`
}
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
badRequest(w, "invalid JSON body")
return
}
if req.TagID == "" {
badRequest(w, "tag_id is required")
return
}
// Verify both the doc and the tag belong to the user before linking, so a
// stray id can't cross-link another account's rows.
if !h.ownsDoc(docID) {
notFound(w)
return
}
if !h.ownsTag(req.TagID) {
notFoundMsg(w, "tag not found")
return
}
if _, err := h.DB.Exec(
`INSERT INTO document_tags (doc_id, tag_id) VALUES (?, ?)
ON CONFLICT(doc_id, tag_id) DO NOTHING`,
docID, req.TagID,
); err != nil {
serverError(w, err)
return
}
w.WriteHeader(http.StatusNoContent)
}
// unassignTag detaches a tag from a document.
func (h *Handler) unassignTag(w http.ResponseWriter, r *http.Request) {
docID := chi.URLParam(r, "id")
tagID := chi.URLParam(r, "tagId")
if !h.ownsDoc(docID) {
notFound(w)
return
}
if _, err := h.DB.Exec(
`DELETE FROM document_tags WHERE doc_id = ? AND tag_id = ?`,
docID, tagID,
); err != nil {
serverError(w, err)
return
}
w.WriteHeader(http.StatusNoContent)
}
// ownsDoc reports whether a document belongs to the local user.
func (h *Handler) ownsDoc(docID string) bool {
var exists bool
_ = h.DB.QueryRow(
`SELECT EXISTS(SELECT 1 FROM documents WHERE id = ? AND user_id = ?)`,
docID, db.LocalUserID,
).Scan(&exists)
return exists
}
// ownsTag reports whether a tag belongs to the local user.
func (h *Handler) ownsTag(tagID string) bool {
var exists bool
_ = h.DB.QueryRow(
`SELECT EXISTS(SELECT 1 FROM tags WHERE id = ? AND user_id = ?)`,
tagID, db.LocalUserID,
).Scan(&exists)
return exists
}
// tagsByDoc loads the tags for a set of documents in one query and groups them
// by doc id. Used to decorate the document list and search results without an
// N+1 of per-doc queries. Returns an empty (non-nil) map when ids is empty.
func (h *Handler) tagsByDoc(ids []string) (map[string][]db.Tag, error) {
out := map[string][]db.Tag{}
if len(ids) == 0 {
return out, nil
}
// Build the IN (?, ?, …) placeholder list.
ph := strings.TrimSuffix(strings.Repeat("?,", len(ids)), ",")
args := make([]any, 0, len(ids)+1)
for _, id := range ids {
args = append(args, id)
}
args = append(args, db.LocalUserID)
rows, err := h.DB.Query(
`SELECT dt.doc_id, t.id, t.name, t.color
FROM document_tags dt
JOIN tags t ON t.id = dt.tag_id
WHERE dt.doc_id IN (`+ph+`) AND t.user_id = ?
ORDER BY t.name COLLATE NOCASE`,
args...,
)
if err != nil {
return nil, err
}
defer rows.Close()
for rows.Next() {
var docID string
var t db.Tag
if err := rows.Scan(&docID, &t.ID, &t.Name, &t.Color); err != nil {
return nil, err
}
out[docID] = append(out[docID], t)
}
return out, rows.Err()
}

167
internal/docs/tags_test.go Normal file
View File

@@ -0,0 +1,167 @@
package docs
import (
"encoding/json"
"net/http"
"path/filepath"
"testing"
"github.com/go-chi/chi/v5"
"gitea.parodia.dev/drwily/petal/internal/db"
)
// newFullServer mounts the document, tag, and search routers under the same base
// paths as the real server (/docs, /tags, /search) so tests can exercise the
// cross-router flows (create a doc, tag it, list, search).
func newFullServer(t *testing.T) http.Handler {
t.Helper()
database, err := db.Open(filepath.Join(t.TempDir(), "test.db"))
if err != nil {
t.Fatalf("open db: %v", err)
}
t.Cleanup(func() { database.Close() })
h := New(database)
r := chi.NewRouter()
r.Mount("/docs", h.Routes())
r.Mount("/tags", h.TagRoutes())
r.Mount("/search", h.SearchRoutes())
return r
}
// createDoc makes a document with the given title/body and returns its id.
func createDoc(t *testing.T, srv http.Handler, title, text string) string {
t.Helper()
rec := do(t, srv, http.MethodPost, "/docs", "")
if rec.Code != http.StatusCreated {
t.Fatalf("create doc: %d %s", rec.Code, rec.Body)
}
var d db.Document
_ = json.Unmarshal(rec.Body.Bytes(), &d)
body, _ := json.Marshal(map[string]any{
"title": title, "content": "{}", "content_text": text, "word_count": 1,
})
rec = do(t, srv, http.MethodPut, "/docs/"+d.ID, string(body))
if rec.Code != http.StatusOK {
t.Fatalf("save doc: %d %s", rec.Code, rec.Body)
}
return d.ID
}
func TestTagLifecycle(t *testing.T) {
srv := newFullServer(t)
// Empty roster serializes as [].
rec := do(t, srv, http.MethodGet, "/tags", "")
if rec.Code != http.StatusOK || rec.Body.String() == "null\n" {
t.Fatalf("empty tags: %d %s", rec.Code, rec.Body)
}
// Create a tag.
rec = do(t, srv, http.MethodPost, "/tags", `{"name":"日记","color":"lavender"}`)
if rec.Code != http.StatusCreated {
t.Fatalf("create tag: %d %s", rec.Code, rec.Body)
}
var tag db.Tag
_ = json.Unmarshal(rec.Body.Bytes(), &tag)
if tag.ID == "" || tag.Name != "日记" || tag.Color != "lavender" {
t.Fatalf("bad created tag: %+v", tag)
}
// Re-creating the same name is idempotent (returns the same id, keeps color).
rec = do(t, srv, http.MethodPost, "/tags", `{"name":"日记","color":"sky"}`)
var again db.Tag
_ = json.Unmarshal(rec.Body.Bytes(), &again)
if again.ID != tag.ID || again.Color != "lavender" {
t.Fatalf("create not idempotent: %+v vs %+v", again, tag)
}
// Unknown color is coerced to rose.
rec = do(t, srv, http.MethodPost, "/tags", `{"name":"work","color":"chartreuse"}`)
var work db.Tag
_ = json.Unmarshal(rec.Body.Bytes(), &work)
if work.Color != "rose" {
t.Fatalf("unknown color not coerced: %+v", work)
}
// Empty name is rejected.
if rec = do(t, srv, http.MethodPost, "/tags", `{"name":" "}`); rec.Code != http.StatusBadRequest {
t.Fatalf("empty name should be 400: %d", rec.Code)
}
// Recolor + rename via PATCH.
rec = do(t, srv, http.MethodPatch, "/tags/"+tag.ID, `{"color":"honey"}`)
var recolored db.Tag
_ = json.Unmarshal(rec.Body.Bytes(), &recolored)
if recolored.Color != "honey" || recolored.Name != "日记" {
t.Fatalf("patch clobbered/failed: %+v", recolored)
}
// Assign both tags to a document.
docID := createDoc(t, srv, "My Journal", "today was a good day")
if rec = do(t, srv, http.MethodPost, "/docs/"+docID+"/tags", `{"tag_id":"`+tag.ID+`"}`); rec.Code != http.StatusNoContent {
t.Fatalf("assign tag: %d %s", rec.Code, rec.Body)
}
// Re-assigning is idempotent.
if rec = do(t, srv, http.MethodPost, "/docs/"+docID+"/tags", `{"tag_id":"`+tag.ID+`"}`); rec.Code != http.StatusNoContent {
t.Fatalf("re-assign tag: %d", rec.Code)
}
if rec = do(t, srv, http.MethodPost, "/docs/"+docID+"/tags", `{"tag_id":"`+work.ID+`"}`); rec.Code != http.StatusNoContent {
t.Fatalf("assign 2nd tag: %d", rec.Code)
}
// The doc list now carries both tags, ordered by name.
rec = do(t, srv, http.MethodGet, "/docs", "")
var docs []docSummary
_ = json.Unmarshal(rec.Body.Bytes(), &docs)
if len(docs) != 1 || len(docs[0].Tags) != 2 {
t.Fatalf("doc list tags: %+v", docs)
}
// Tag list reports doc counts.
rec = do(t, srv, http.MethodGet, "/tags", "")
var roster []db.Tag
_ = json.Unmarshal(rec.Body.Bytes(), &roster)
var found bool
for _, rt := range roster {
if rt.ID == tag.ID {
found = true
if rt.DocCount != 1 {
t.Fatalf("expected doc_count 1, got %d", rt.DocCount)
}
}
}
if !found {
t.Fatalf("tag missing from roster: %+v", roster)
}
// Unassign one tag.
if rec = do(t, srv, http.MethodDelete, "/docs/"+docID+"/tags/"+work.ID, ""); rec.Code != http.StatusNoContent {
t.Fatalf("unassign: %d", rec.Code)
}
rec = do(t, srv, http.MethodGet, "/docs", "")
_ = json.Unmarshal(rec.Body.Bytes(), &docs)
if len(docs[0].Tags) != 1 || docs[0].Tags[0].ID != tag.ID {
t.Fatalf("after unassign: %+v", docs[0].Tags)
}
// Deleting a tag cascades its assignments away.
if rec = do(t, srv, http.MethodDelete, "/tags/"+tag.ID, ""); rec.Code != http.StatusNoContent {
t.Fatalf("delete tag: %d", rec.Code)
}
rec = do(t, srv, http.MethodGet, "/docs", "")
_ = json.Unmarshal(rec.Body.Bytes(), &docs)
if len(docs[0].Tags) != 0 {
t.Fatalf("tag delete did not cascade: %+v", docs[0].Tags)
}
// Assigning a non-existent tag 404s; tagging a non-existent doc 404s.
if rec = do(t, srv, http.MethodPost, "/docs/"+docID+"/tags", `{"tag_id":"nope"}`); rec.Code != http.StatusNotFound {
t.Fatalf("assign unknown tag: %d", rec.Code)
}
if rec = do(t, srv, http.MethodPost, "/docs/nope/tags", `{"tag_id":"`+work.ID+`"}`); rec.Code != http.StatusNotFound {
t.Fatalf("assign to unknown doc: %d", rec.Code)
}
}

245
internal/docs/versions.go Normal file
View File

@@ -0,0 +1,245 @@
package docs
import (
"database/sql"
"errors"
"net/http"
"time"
"github.com/go-chi/chi/v5"
"gitea.parodia.dev/drwily/petal/internal/db"
)
// Version-history tuning.
const (
// autoSnapshotInterval is the minimum gap between background ('auto')
// snapshots. Auto-save fires every ~1.5s; without a floor we'd store a
// version per keystroke-burst. A few minutes keeps history useful for
// recovery without unbounded growth.
autoSnapshotInterval = 3 * time.Minute
// maxAutoVersions caps how many 'auto' snapshots we retain per document.
// 'manual' and 'pre_restore' versions are never pruned — they're explicit
// restore points the writer (or a restore) deliberately created.
maxAutoVersions = 40
)
// versionRoutes registers the history endpoints on the docs sub-router. Paths
// resolve to /api/docs/{id}/versions...
func (h *Handler) versionRoutes(r chi.Router) {
r.Get("/{id}/versions", h.listVersions)
r.Post("/{id}/versions", h.createVersion) // explicit "save a restore point"
r.Get("/{id}/versions/{vid}", h.getVersion) // full body for preview
r.Post("/{id}/versions/{vid}/restore", h.restoreVersion)
}
// listVersions returns the document's snapshots, newest first, without the heavy
// content fields (those load on preview/restore).
func (h *Handler) listVersions(w http.ResponseWriter, r *http.Request) {
docID := chi.URLParam(r, "id")
// Scope through the documents table so a snapshot is only visible to the
// owner of its parent document.
rows, err := h.DB.Query(
`SELECT v.id, v.doc_id, v.title, v.word_count, v.kind, v.created_at
FROM document_versions v
JOIN documents d ON d.id = v.doc_id
WHERE v.doc_id = ? AND d.user_id = ?
ORDER BY v.created_at DESC`,
docID, db.LocalUserID,
)
if err != nil {
serverError(w, err)
return
}
defer rows.Close()
out := []db.DocumentVersion{} // non-nil so an empty history serializes as []
for rows.Next() {
var v db.DocumentVersion
if err := rows.Scan(&v.ID, &v.DocID, &v.Title, &v.WordCount, &v.Kind, &v.CreatedAt); err != nil {
serverError(w, err)
return
}
out = append(out, v)
}
if err := rows.Err(); err != nil {
serverError(w, err)
return
}
writeJSON(w, http.StatusOK, out)
}
// getVersion returns one snapshot in full (including content) for preview.
func (h *Handler) getVersion(w http.ResponseWriter, r *http.Request) {
v, err := h.fetchVersion(chi.URLParam(r, "id"), chi.URLParam(r, "vid"))
if errors.Is(err, sql.ErrNoRows) {
notFoundMsg(w, "version not found")
return
}
if err != nil {
serverError(w, err)
return
}
writeJSON(w, http.StatusOK, v)
}
// createVersion takes an explicit, user-requested ('manual') restore point from
// the document's current saved state.
func (h *Handler) createVersion(w http.ResponseWriter, r *http.Request) {
docID := chi.URLParam(r, "id")
doc, err := h.fetch(docID)
if errors.Is(err, sql.ErrNoRows) {
notFound(w)
return
}
if err != nil {
serverError(w, err)
return
}
v, err := h.insertVersion(doc, db.VersionKindManual)
if err != nil {
serverError(w, err)
return
}
writeJSON(w, http.StatusCreated, v)
}
// restoreVersion copies a snapshot back onto the live document. Before
// overwriting, it captures the current state as a 'pre_restore' version so the
// restore is itself undoable. Returns the restored document.
func (h *Handler) restoreVersion(w http.ResponseWriter, r *http.Request) {
docID := chi.URLParam(r, "id")
vid := chi.URLParam(r, "vid")
v, err := h.fetchVersion(docID, vid)
if errors.Is(err, sql.ErrNoRows) {
notFoundMsg(w, "version not found")
return
}
if err != nil {
serverError(w, err)
return
}
current, err := h.fetch(docID)
if err != nil {
serverError(w, err)
return
}
if _, err := h.insertVersion(current, db.VersionKindPreRestore); err != nil {
serverError(w, err)
return
}
res, err := h.DB.Exec(
`UPDATE documents
SET title = ?, content = ?, content_text = ?, word_count = ?,
updated_at = CURRENT_TIMESTAMP
WHERE id = ? AND user_id = ?`,
v.Title, v.Content, v.ContentText, v.WordCount, docID, db.LocalUserID,
)
if err != nil {
serverError(w, err)
return
}
if n, _ := res.RowsAffected(); n == 0 {
notFound(w)
return
}
doc, err := h.fetch(docID)
if err != nil {
serverError(w, err)
return
}
writeJSON(w, http.StatusOK, doc)
}
// maybeAutoSnapshot records a throttled background snapshot of the just-saved
// document. It no-ops when the newest snapshot is younger than
// autoSnapshotInterval, or when the body is unchanged since the last snapshot,
// so an idle or rename-only save costs nothing. Best-effort: callers log but do
// not fail the save if this errors. Prunes old 'auto' versions on success.
func (h *Handler) maybeAutoSnapshot(doc db.Document) error {
var (
lastAt time.Time
lastText string
hasPrev bool
)
err := h.DB.QueryRow(
`SELECT created_at, content_text FROM document_versions
WHERE doc_id = ? ORDER BY created_at DESC LIMIT 1`,
doc.ID,
).Scan(&lastAt, &lastText)
switch {
case errors.Is(err, sql.ErrNoRows):
hasPrev = false
case err != nil:
return err
default:
hasPrev = true
}
if hasPrev {
if lastText == doc.ContentText {
return nil // nothing meaningful changed
}
if time.Since(lastAt) < autoSnapshotInterval {
return nil // too soon; let edits accumulate
}
}
if _, err := h.insertVersion(doc, db.VersionKindAuto); err != nil {
return err
}
return h.pruneAutoVersions(doc.ID)
}
// insertVersion writes a snapshot row of the given kind and returns it (without
// the heavy content fields, matching the list shape).
func (h *Handler) insertVersion(doc db.Document, kind string) (db.DocumentVersion, error) {
var v db.DocumentVersion
err := h.DB.QueryRow(
`INSERT INTO document_versions (doc_id, title, content, content_text, word_count, kind)
VALUES (?, ?, ?, ?, ?, ?)
RETURNING id, doc_id, title, word_count, kind, created_at`,
doc.ID, doc.Title, doc.Content, doc.ContentText, doc.WordCount, kind,
).Scan(&v.ID, &v.DocID, &v.Title, &v.WordCount, &v.Kind, &v.CreatedAt)
return v, err
}
// pruneAutoVersions trims a document's 'auto' snapshots to the newest
// maxAutoVersions, leaving 'manual' and 'pre_restore' restore points intact.
func (h *Handler) pruneAutoVersions(docID string) error {
_, err := h.DB.Exec(
`DELETE FROM document_versions
WHERE doc_id = ? AND kind = 'auto'
AND id NOT IN (
SELECT id FROM document_versions
WHERE doc_id = ? AND kind = 'auto'
ORDER BY created_at DESC LIMIT ?
)`,
docID, docID, maxAutoVersions,
)
return err
}
// fetchVersion loads one full snapshot, scoped to its owner via the parent doc.
func (h *Handler) fetchVersion(docID, vid string) (db.DocumentVersion, error) {
var v db.DocumentVersion
err := h.DB.QueryRow(
`SELECT v.id, v.doc_id, v.title, v.content, v.content_text, v.word_count, v.kind, v.created_at
FROM document_versions v
JOIN documents d ON d.id = v.doc_id
WHERE v.id = ? AND v.doc_id = ? AND d.user_id = ?`,
vid, docID, db.LocalUserID,
).Scan(
&v.ID, &v.DocID, &v.Title, &v.Content, &v.ContentText,
&v.WordCount, &v.Kind, &v.CreatedAt,
)
return v, err
}

View File

@@ -0,0 +1,107 @@
package docs
import (
"encoding/json"
"net/http"
"testing"
"gitea.parodia.dev/drwily/petal/internal/db"
)
// newDoc creates a document and returns its id.
func newDoc(t *testing.T, srv http.Handler) string {
t.Helper()
rec := do(t, srv, http.MethodPost, "/", "")
if rec.Code != http.StatusCreated {
t.Fatalf("create doc: code=%d body=%s", rec.Code, rec.Body)
}
var d db.Document
if err := json.Unmarshal(rec.Body.Bytes(), &d); err != nil {
t.Fatalf("decode doc: %v", err)
}
return d.ID
}
func listVersions(t *testing.T, srv http.Handler, id string) []db.DocumentVersion {
t.Helper()
rec := do(t, srv, http.MethodGet, "/"+id+"/versions", "")
if rec.Code != http.StatusOK {
t.Fatalf("list versions: code=%d body=%s", rec.Code, rec.Body)
}
var vs []db.DocumentVersion
if err := json.Unmarshal(rec.Body.Bytes(), &vs); err != nil {
t.Fatalf("decode versions: %v", err)
}
return vs
}
func TestVersionLifecycle(t *testing.T) {
srv := newTestServer(t)
id := newDoc(t, srv)
// A bare rename (no content) must not snapshot.
do(t, srv, http.MethodPut, "/"+id, `{"title":"Just A Name"}`)
if vs := listVersions(t, srv, id); len(vs) != 0 {
t.Fatalf("rename should not snapshot, got %d", len(vs))
}
// First real body save takes one auto snapshot (no prior version to throttle).
body := `{"content":"{\"type\":\"doc\"}","content_text":"first draft","word_count":2}`
do(t, srv, http.MethodPut, "/"+id, body)
vs := listVersions(t, srv, id)
if len(vs) != 1 || vs[0].Kind != db.VersionKindAuto {
t.Fatalf("expected 1 auto version, got %+v", vs)
}
// List view omits heavy content fields.
if vs[0].Content != "" {
t.Fatalf("list should omit content, got %q", vs[0].Content)
}
// A near-immediate second save is throttled (no new auto version).
do(t, srv, http.MethodPut, "/"+id, `{"content":"{\"type\":\"doc\"}","content_text":"first draft v2","word_count":3}`)
if vs := listVersions(t, srv, id); len(vs) != 1 {
t.Fatalf("second save within interval should be throttled, got %d", len(vs))
}
// Manual snapshot always records, capturing current saved state.
rec := do(t, srv, http.MethodPost, "/"+id+"/versions", "")
if rec.Code != http.StatusCreated {
t.Fatalf("manual snapshot: code=%d body=%s", rec.Code, rec.Body)
}
var manual db.DocumentVersion
_ = json.Unmarshal(rec.Body.Bytes(), &manual)
if manual.Kind != db.VersionKindManual {
t.Fatalf("expected manual kind, got %q", manual.Kind)
}
// Mutate the live doc, then restore the manual snapshot.
do(t, srv, http.MethodPut, "/"+id, `{"content":"{\"type\":\"doc\"}","content_text":"ruined everything","word_count":2}`)
rec = do(t, srv, http.MethodPost, "/"+id+"/versions/"+manual.ID+"/restore", "")
if rec.Code != http.StatusOK {
t.Fatalf("restore: code=%d body=%s", rec.Code, rec.Body)
}
var restored db.Document
_ = json.Unmarshal(rec.Body.Bytes(), &restored)
if restored.ContentText != "first draft v2" {
t.Fatalf("restore did not bring back snapshot text: %q", restored.ContentText)
}
// Restore left a pre_restore safety copy, so the bad state is itself recoverable.
var foundPreRestore bool
for _, v := range listVersions(t, srv, id) {
if v.Kind == db.VersionKindPreRestore {
foundPreRestore = true
}
}
if !foundPreRestore {
t.Fatal("restore should record a pre_restore safety snapshot")
}
}
func TestVersionNotFound(t *testing.T) {
srv := newTestServer(t)
id := newDoc(t, srv)
if rec := do(t, srv, http.MethodGet, "/"+id+"/versions/nope", ""); rec.Code != http.StatusNotFound {
t.Fatalf("expected 404 for unknown version, got %d", rec.Code)
}
}

132
internal/images/handler.go Normal file
View File

@@ -0,0 +1,132 @@
// Package images implements a tiny content-addressed image store: writers upload
// images from the editor, they're saved to disk under the configured directory,
// and served back by hashed filename. Content addressing means the same image
// pasted twice is stored once, and URLs are stable and cacheable forever.
package images
import (
"crypto/sha256"
"encoding/hex"
"encoding/json"
"errors"
"io"
"net/http"
"os"
"path/filepath"
"strings"
"github.com/go-chi/chi/v5"
)
// maxUploadBytes caps a single image at 10 MiB — generous for a writing tool,
// small enough to keep a careless paste from filling the disk.
const maxUploadBytes = 10 << 20
// extByContentType maps the image types we accept to a canonical extension. The
// allowlist doubles as validation: anything not here is rejected.
var extByContentType = map[string]string{
"image/png": ".png",
"image/jpeg": ".jpg",
"image/gif": ".gif",
"image/webp": ".webp",
"image/svg+xml": ".svg",
}
// Handler serves the upload + fetch endpoints, backed by a directory on disk.
type Handler struct {
dir string
}
// New constructs a Handler, ensuring the storage directory exists.
func New(dir string) (*Handler, error) {
if err := os.MkdirAll(dir, 0o755); err != nil {
return nil, err
}
return &Handler{dir: dir}, nil
}
// Routes mounts the image endpoints. Mount under "/images" so the full paths are
// POST /api/images (upload) and GET /api/images/{name} (fetch).
func (h *Handler) Routes() chi.Router {
r := chi.NewRouter()
r.Post("/", h.upload)
r.Get("/{name}", h.serve)
return r
}
// upload accepts a single multipart "image" field, sniffs and validates its
// type, and writes it under a content hash so identical images dedupe. Responds
// with the served URL the editor inserts.
func (h *Handler) upload(w http.ResponseWriter, r *http.Request) {
r.Body = http.MaxBytesReader(w, r.Body, maxUploadBytes)
file, _, err := r.FormFile("image")
if err != nil {
http.Error(w, "expected an 'image' file field", http.StatusBadRequest)
return
}
defer file.Close()
data, err := io.ReadAll(file)
if err != nil {
http.Error(w, "could not read upload", http.StatusBadRequest)
return
}
// Trust a sniff over the client-declared type. SVG isn't reliably sniffable
// (DetectContentType returns text/plain or text/xml), so fall back to a
// lightweight tag check for it.
ct := http.DetectContentType(data)
ext, ok := extByContentType[ct]
if !ok {
if looksLikeSVG(data) {
ext, ok = ".svg", true
}
}
if !ok {
http.Error(w, "unsupported image type", http.StatusUnsupportedMediaType)
return
}
sum := sha256.Sum256(data)
name := hex.EncodeToString(sum[:])[:32] + ext
path := filepath.Join(h.dir, name)
// Skip the write if this exact content is already stored.
if _, statErr := os.Stat(path); errors.Is(statErr, os.ErrNotExist) {
if err := os.WriteFile(path, data, 0o644); err != nil {
http.Error(w, "could not store image", http.StatusInternalServerError)
return
}
}
w.Header().Set("Content-Type", "application/json")
_ = json.NewEncoder(w).Encode(map[string]string{"url": "/api/images/" + name})
}
// serve returns a stored image by its hashed filename. The filename is validated
// to be a bare name (no path separators) so it can't escape the storage dir, and
// served with a long-lived cache header since content-addressed URLs never change.
func (h *Handler) serve(w http.ResponseWriter, r *http.Request) {
name := chi.URLParam(r, "name")
if name == "" || name != filepath.Base(name) || strings.ContainsAny(name, `/\`) {
http.NotFound(w, r)
return
}
path := filepath.Join(h.dir, filepath.Base(name))
if _, err := os.Stat(path); err != nil {
http.NotFound(w, r)
return
}
w.Header().Set("Cache-Control", "public, max-age=31536000, immutable")
http.ServeFile(w, r, path)
}
// looksLikeSVG does a cheap check for an <svg root tag near the start of the
// file, since DetectContentType doesn't recognize SVG.
func looksLikeSVG(data []byte) bool {
head := data
if len(head) > 512 {
head = head[:512]
}
return strings.Contains(strings.ToLower(string(head)), "<svg")
}

View File

@@ -0,0 +1,97 @@
package images
import (
"bytes"
"encoding/json"
"mime/multipart"
"net/http"
"net/http/httptest"
"strings"
"testing"
)
// a 1x1 transparent PNG.
var pngBytes = []byte{
0x89, 0x50, 0x4e, 0x47, 0x0d, 0x0a, 0x1a, 0x0a, 0x00, 0x00, 0x00, 0x0d, 0x49, 0x48, 0x44, 0x52,
0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x08, 0x06, 0x00, 0x00, 0x00, 0x1f, 0x15, 0xc4,
0x89, 0x00, 0x00, 0x00, 0x0d, 0x49, 0x44, 0x41, 0x54, 0x78, 0x9c, 0x62, 0x00, 0x01, 0x00, 0x00,
0x05, 0x00, 0x01, 0x0d, 0x0a, 0x2d, 0xb4, 0x00, 0x00, 0x00, 0x00, 0x49, 0x45, 0x4e, 0x44, 0xae,
0x42, 0x60, 0x82,
}
func uploadReq(t *testing.T, field string, data []byte) *http.Request {
t.Helper()
var buf bytes.Buffer
mw := multipart.NewWriter(&buf)
fw, err := mw.CreateFormFile(field, "x.png")
if err != nil {
t.Fatal(err)
}
fw.Write(data)
mw.Close()
req := httptest.NewRequest(http.MethodPost, "/", &buf)
req.Header.Set("Content-Type", mw.FormDataContentType())
return req
}
func TestUploadAndServe(t *testing.T) {
h, err := New(t.TempDir())
if err != nil {
t.Fatal(err)
}
r := h.Routes()
// Upload a PNG → expect a JSON url under /api/images/.
rec := httptest.NewRecorder()
r.ServeHTTP(rec, uploadReq(t, "image", pngBytes))
if rec.Code != http.StatusOK {
t.Fatalf("upload code=%d body=%s", rec.Code, rec.Body)
}
var resp struct{ URL string }
if err := json.Unmarshal(rec.Body.Bytes(), &resp); err != nil {
t.Fatal(err)
}
if !strings.HasPrefix(resp.URL, "/api/images/") || !strings.HasSuffix(resp.URL, ".png") {
t.Fatalf("unexpected url %q", resp.URL)
}
// The same content uploaded again dedupes to the same URL.
rec2 := httptest.NewRecorder()
r.ServeHTTP(rec2, uploadReq(t, "image", pngBytes))
var resp2 struct{ URL string }
json.Unmarshal(rec2.Body.Bytes(), &resp2)
if resp2.URL != resp.URL {
t.Fatalf("expected dedup to same url, got %q vs %q", resp2.URL, resp.URL)
}
// Fetch it back.
name := strings.TrimPrefix(resp.URL, "/api/images/")
rec3 := httptest.NewRecorder()
r.ServeHTTP(rec3, httptest.NewRequest(http.MethodGet, "/"+name, nil))
if rec3.Code != http.StatusOK {
t.Fatalf("serve code=%d", rec3.Code)
}
if !bytes.Equal(rec3.Body.Bytes(), pngBytes) {
t.Fatal("served bytes differ from uploaded")
}
}
func TestUploadRejectsNonImage(t *testing.T) {
h, _ := New(t.TempDir())
r := h.Routes()
rec := httptest.NewRecorder()
r.ServeHTTP(rec, uploadReq(t, "image", []byte("this is plainly not an image at all")))
if rec.Code != http.StatusUnsupportedMediaType {
t.Fatalf("expected 415, got %d", rec.Code)
}
}
func TestServeMissing(t *testing.T) {
h, _ := New(t.TempDir())
r := h.Routes()
rec := httptest.NewRecorder()
r.ServeHTTP(rec, httptest.NewRequest(http.MethodGet, "/deadbeef.png", nil))
if rec.Code != http.StatusNotFound {
t.Fatalf("expected 404, got %d", rec.Code)
}
}

38
internal/lexicon/data.go Normal file
View File

@@ -0,0 +1,38 @@
// Package lexicon serves offline word lookups — a Chinese gloss, a definition,
// and a list of synonyms for a single word — from public datasets compiled into
// the binary. Definitions come from the Wordset dictionary (modern, concise
// glosses with a part of speech and example, which read kindly for an ESL
// writer); synonyms come from the Moby Thesaurus; the Chinese gloss comes from
// ECDICT. All are gzipped JSON, decompressed lazily on first use so a writer who
// never looks up a word pays nothing.
package lexicon
import _ "embed"
// definitionsGz is the gzipped Wordset definitions map: word → [[pos, def,
// example], …], lowercase keys. Built by the data-prep step (see commit notes).
//
//go:embed data/definitions.json.gz
var definitionsGz []byte
// synonymsGz is the gzipped Moby thesaurus map: headword → [synonym, …],
// lowercase keys, capped per word to keep the popover (and the binary) small.
//
//go:embed data/synonyms.json.gz
var synonymsGz []byte
// glossGz is the gzipped English→Chinese gloss map: word → 中文 gloss, lowercase
// keys. Built from ECDICT (scripts/build_gloss.py), filtered to common words so
// an ESL writer who speaks Mandarin gets an instant translation on hover/lookup.
//
//go:embed data/gloss.json.gz
var glossGz []byte
// phoneticGz is the gzipped English-phonetic map: word → IPA, lowercase keys.
// Built from ECDICT's phonetic column (scripts/build_phonetic.py). Shown beside
// the read-aloud button so the writer — a Mandarin speaker learning English —
// can see how to say the word. Ships with a small common-word seed; a full build
// broadens coverage.
//
//go:embed data/phonetic.json.gz
var phoneticGz []byte

Binary file not shown.

Binary file not shown.

Binary file not shown.

Binary file not shown.

View File

@@ -0,0 +1,81 @@
package lexicon
import (
"encoding/json"
"net/http"
"net/url"
"github.com/go-chi/chi/v5"
)
// Handler serves the word-lookup endpoint backed by a single shared Lexicon.
type Handler struct {
Lex *Lexicon
}
// New constructs a Handler with a fresh (lazily-loaded) Lexicon.
func NewHandler() *Handler { return &Handler{Lex: New()} }
// Routes returns the router mounted at /api/word. The word is a path segment so
// "/api/word/happy" reads naturally; it's URL-decoded to tolerate the rare
// punctuated token.
func (h *Handler) Routes() chi.Router {
r := chi.NewRouter()
r.Get("/{word}", h.lookup)
return r
}
// GlossRoutes returns the router mounted at /api/gloss — the lightweight
// Chinese-only lookup behind the inline hover/select gloss. It shares the
// Handler's Lexicon, so the datasets still load just once.
func (h *Handler) GlossRoutes() chi.Router {
r := chi.NewRouter()
r.Get("/{word}", h.gloss)
return r
}
// lookup returns the definition + synonyms for one word. A word found in neither
// dataset still returns 200 with empty lists, so the popover can show a friendly
// "nothing found" rather than an error state.
func (h *Handler) lookup(w http.ResponseWriter, r *http.Request) {
word := chi.URLParam(r, "word")
if decoded, err := url.PathUnescape(word); err == nil {
word = decoded
}
res, err := h.Lex.Lookup(word)
if err != nil {
w.Header().Set("Content-Type", "application/json")
w.WriteHeader(http.StatusInternalServerError)
_ = json.NewEncoder(w).Encode(map[string]string{"error": err.Error()})
return
}
w.Header().Set("Content-Type", "application/json")
// Word lookups are static for the life of the build; let the browser cache
// them so repeated right-clicks on the same word are instant.
w.Header().Set("Cache-Control", "public, max-age=86400")
_ = json.NewEncoder(w).Encode(res)
}
// gloss returns just the Chinese translation for one word. Like lookup, a miss
// is a 200 with an empty gloss so the hover tooltip can quietly skip rather than
// error.
func (h *Handler) gloss(w http.ResponseWriter, r *http.Request) {
word := chi.URLParam(r, "word")
if decoded, err := url.PathUnescape(word); err == nil {
word = decoded
}
res, err := h.Lex.Gloss(word)
if err != nil {
w.Header().Set("Content-Type", "application/json")
w.WriteHeader(http.StatusInternalServerError)
_ = json.NewEncoder(w).Encode(map[string]string{"error": err.Error()})
return
}
w.Header().Set("Content-Type", "application/json")
w.Header().Set("Cache-Control", "public, max-age=86400")
_ = json.NewEncoder(w).Encode(res)
}

258
internal/lexicon/lexicon.go Normal file
View File

@@ -0,0 +1,258 @@
package lexicon
import (
"bytes"
"compress/gzip"
"encoding/json"
"fmt"
"io"
"strings"
"sync"
)
// Meaning is one sense of a word: its part of speech, the gloss, and an optional
// usage example. The frontend renders a few of these in the word popover.
type Meaning struct {
PartOfSpeech string `json:"part_of_speech"`
Definition string `json:"definition"`
Example string `json:"example,omitempty"`
}
// Result is the full lookup for one word. Either list may be empty (the word
// isn't a headword in that dataset); the frontend handles a partial or empty
// result gracefully. Gloss is the Chinese translation (empty when the word isn't
// in the gloss dataset) — shown first in the popover for the Mandarin-speaking
// writer.
type Result struct {
Word string `json:"word"`
Gloss string `json:"gloss"`
Phonetic string `json:"phonetic"` // IPA for the English word; "" when absent
Definitions []Meaning `json:"definitions"`
Synonyms []string `json:"synonyms"`
}
// GlossResult is the lightweight payload for the inline hover/select gloss: just
// the word and its Chinese translation, no definitions or synonyms. Kept small
// so the hover tooltip is instant and trivially cacheable.
type GlossResult struct {
Word string `json:"word"`
Gloss string `json:"gloss"`
}
// maxSynonyms caps how many synonyms we hand the popover, even though the dataset
// stores up to ~50 per word — a long flat wall of words overwhelms more than it
// helps, especially for an ESL reader scanning for the right fit.
const maxSynonyms = 16
// maxDefinitions caps the senses shown so the popover stays a glance, not an
// essay.
const maxDefinitions = 4
// Lexicon holds the lazily-loaded datasets. The maps are populated once, on the
// first Lookup, behind a sync.Once so startup stays instant and a load error is
// remembered rather than retried on every request.
type Lexicon struct {
once sync.Once
loadErr error
defs map[string][][]string // word → [[pos, def, example], …]
synonyms map[string][]string // word → [synonym, …]
gloss map[string]string // word → Chinese gloss
phonetic map[string]string // word → IPA
}
// New returns a Lexicon. The datasets aren't read until the first Lookup.
func New() *Lexicon { return &Lexicon{} }
func (l *Lexicon) load() {
l.once.Do(func() {
if err := gunzipJSON(definitionsGz, &l.defs); err != nil {
l.loadErr = fmt.Errorf("load definitions: %w", err)
return
}
if err := gunzipJSON(synonymsGz, &l.synonyms); err != nil {
l.loadErr = fmt.Errorf("load synonyms: %w", err)
return
}
if err := gunzipJSON(glossGz, &l.gloss); err != nil {
l.loadErr = fmt.Errorf("load gloss: %w", err)
return
}
if err := gunzipJSON(phoneticGz, &l.phonetic); err != nil {
l.loadErr = fmt.Errorf("load phonetic: %w", err)
return
}
})
}
// Lookup returns the definition senses and synonyms for word. It first tries the
// word as written (lowercased), then a few simple morphological reductions
// (plurals, -ed/-ing/-ly) so "running" or "happily" still resolve. A word found
// in neither dataset yields a Result with empty lists (not an error).
func (l *Lexicon) Lookup(word string) (Result, error) {
l.load()
if l.loadErr != nil {
return Result{}, l.loadErr
}
norm := strings.ToLower(strings.TrimSpace(word))
res := Result{Word: word, Definitions: []Meaning{}, Synonyms: []string{}}
if norm == "" {
return res, nil
}
res.Gloss = lookupGloss(l.gloss, norm)
// Phonetic is a word→string map like the gloss, so the same de-inflecting
// candidate walk resolves "running" → "run", etc.
res.Phonetic = lookupGloss(l.phonetic, norm)
if raw := lookupDefs(l.defs, norm); raw != nil {
for _, m := range raw {
res.Definitions = append(res.Definitions, toMeaning(m))
if len(res.Definitions) >= maxDefinitions {
break
}
}
}
if syns := lookupSyns(l.synonyms, norm); syns != nil {
if len(syns) > maxSynonyms {
syns = syns[:maxSynonyms]
}
res.Synonyms = append(res.Synonyms, syns...)
}
return res, nil
}
// Gloss returns just the Chinese translation for word (empty when absent). This
// is the fast path behind the inline hover/select gloss — it skips the
// definition and synonym datasets entirely.
func (l *Lexicon) Gloss(word string) (GlossResult, error) {
l.load()
if l.loadErr != nil {
return GlossResult{}, l.loadErr
}
norm := strings.ToLower(strings.TrimSpace(word))
return GlossResult{Word: word, Gloss: lookupGloss(l.gloss, norm)}, nil
}
// lookupGloss walks the candidate forms of a word and returns the first gloss
// hit (so "running"/"studies" resolve via the same de-inflection as defs/syns).
func lookupGloss(m map[string]string, word string) string {
if word == "" {
return ""
}
for _, c := range candidates(word) {
if v, ok := m[c]; ok {
return v
}
}
return ""
}
// lookupDefs / lookupSyns walk the candidate forms of a word and return the
// first dataset hit. They're separate (rather than a generic helper) only
// because the two maps have different value types.
func lookupDefs(m map[string][][]string, word string) [][]string {
for _, c := range candidates(word) {
if v, ok := m[c]; ok {
return v
}
}
return nil
}
func lookupSyns(m map[string][]string, word string) []string {
for _, c := range candidates(word) {
if v, ok := m[c]; ok {
return v
}
}
return nil
}
// candidates returns the lemma forms to try, in priority order: the word itself,
// then conservative de-inflections. This is deliberately lightweight — a full
// stemmer would over-reduce ("business" → "busy") and surface wrong entries; a
// handful of common English suffix rules covers the everyday cases without a
// dependency. Duplicates are fine (map lookup is cheap); order is what matters.
func candidates(word string) []string {
out := []string{word}
add := func(s string) {
if len(s) >= 2 && s != word {
out = append(out, s)
}
}
switch {
case strings.HasSuffix(word, "ies"): // studies → study
add(word[:len(word)-3] + "y")
case strings.HasSuffix(word, "es"): // boxes → box, wishes → wish
add(word[:len(word)-2])
add(word[:len(word)-1])
case strings.HasSuffix(word, "s"): // cats → cat
add(word[:len(word)-1])
}
if strings.HasSuffix(word, "ing") { // running → run, making → make
stem := word[:len(word)-3]
add(stem)
add(stem + "e")
add(undouble(stem))
}
if strings.HasSuffix(word, "ed") { // hoped → hope, stopped → stop
stem := word[:len(word)-2]
add(stem)
add(word[:len(word)-1])
add(undouble(stem))
}
if strings.HasSuffix(word, "ly") { // happily handled above via ies path? no — quickly → quick
add(word[:len(word)-2])
}
if strings.HasSuffix(word, "ily") { // happily → happy
add(word[:len(word)-3] + "y")
}
return out
}
// undouble collapses a doubled final consonant (stopp → stop, runn → run) so the
// -ed/-ing stems of doubled-consonant verbs resolve to their base form.
func undouble(stem string) string {
n := len(stem)
if n >= 2 && stem[n-1] == stem[n-2] {
return stem[:n-1]
}
return stem
}
// toMeaning maps a compact [pos, def, example] triple from the dataset onto the
// JSON-friendly Meaning. The dataset always stores three elements, but we guard
// the length so a malformed row can't panic.
func toMeaning(m []string) Meaning {
var out Meaning
if len(m) > 0 {
out.PartOfSpeech = m[0]
}
if len(m) > 1 {
out.Definition = m[1]
}
if len(m) > 2 {
out.Example = m[2]
}
return out
}
// gunzipJSON decompresses gz and decodes the JSON into v.
func gunzipJSON(gz []byte, v any) error {
r, err := gzip.NewReader(bytes.NewReader(gz))
if err != nil {
return err
}
defer r.Close()
data, err := io.ReadAll(r)
if err != nil {
return err
}
return json.Unmarshal(data, v)
}

View File

@@ -0,0 +1,118 @@
package lexicon
import "testing"
func TestLookupKnownWord(t *testing.T) {
l := New()
res, err := l.Lookup("happy")
if err != nil {
t.Fatalf("Lookup: %v", err)
}
if len(res.Definitions) == 0 {
t.Errorf("expected definitions for %q, got none", "happy")
}
if len(res.Synonyms) == 0 {
t.Errorf("expected synonyms for %q, got none", "happy")
}
if len(res.Synonyms) > maxSynonyms {
t.Errorf("synonyms not capped: got %d, want <= %d", len(res.Synonyms), maxSynonyms)
}
if len(res.Definitions) > maxDefinitions {
t.Errorf("definitions not capped: got %d, want <= %d", len(res.Definitions), maxDefinitions)
}
}
func TestLookupMorphology(t *testing.T) {
l := New()
// Inflected forms should resolve to their base entry via candidates().
for _, w := range []string{"running", "studies", "boxes", "quickly", "stopped"} {
res, err := l.Lookup(w)
if err != nil {
t.Fatalf("Lookup(%q): %v", w, err)
}
if len(res.Definitions) == 0 && len(res.Synonyms) == 0 {
t.Errorf("expected some result for inflected %q, got nothing", w)
}
}
}
func TestLookupUnknownWord(t *testing.T) {
l := New()
res, err := l.Lookup("zzzxqqq")
if err != nil {
t.Fatalf("Lookup: %v", err)
}
if len(res.Definitions) != 0 || len(res.Synonyms) != 0 {
t.Errorf("expected empty result for nonsense word, got %+v", res)
}
// Empty result must still serialize as [] not null for the frontend.
if res.Definitions == nil || res.Synonyms == nil {
t.Errorf("empty slices must be non-nil for JSON []: %+v", res)
}
}
func TestGloss(t *testing.T) {
l := New()
// A common word carries a Chinese gloss...
res, err := l.Gloss("river")
if err != nil {
t.Fatalf("Gloss: %v", err)
}
if res.Word != "river" {
t.Errorf("Word = %q, want %q", res.Word, "river")
}
if res.Gloss == "" {
t.Errorf("expected a Chinese gloss for %q, got none", "river")
}
// ...and the inflected form resolves via the same de-inflection.
inflected, err := l.Gloss("rivers")
if err != nil {
t.Fatalf("Gloss(rivers): %v", err)
}
if inflected.Gloss == "" {
t.Errorf("expected a gloss for inflected %q, got none", "rivers")
}
// A nonsense word is a clean empty (not an error).
miss, err := l.Gloss("zzzxqqq")
if err != nil {
t.Fatalf("Gloss(miss): %v", err)
}
if miss.Gloss != "" {
t.Errorf("expected empty gloss for nonsense word, got %q", miss.Gloss)
}
}
func TestLookupIncludesGloss(t *testing.T) {
l := New()
res, err := l.Lookup("happy")
if err != nil {
t.Fatalf("Lookup: %v", err)
}
if res.Gloss == "" {
t.Errorf("expected Lookup to include a Chinese gloss for %q", "happy")
}
}
func TestCandidates(t *testing.T) {
cases := map[string]string{
"cats": "cat",
"studies": "study",
"running": "run",
"hoped": "hope",
"quickly": "quick",
"happily": "happy",
}
for word, want := range cases {
got := candidates(word)
found := false
for _, c := range got {
if c == want {
found = true
break
}
}
if !found {
t.Errorf("candidates(%q) = %v, missing expected base %q", word, got, want)
}
}
}

29
internal/llm/chat.go Normal file
View File

@@ -0,0 +1,29 @@
package llm
import "context"
// AskPetalMessages assembles the message array for one Ask Petal turn: the
// suggestion-context system prompt followed by the (length-capped) client-side
// conversation history. The backend is stateless, so the full history rides on
// every request (spec: no server-side sessions).
func AskPetalMessages(systemPrompt string, history []Message) []Message {
msgs := make([]Message, 0, len(history)+1)
msgs = append(msgs, Message{Role: "system", Content: systemPrompt})
msgs = append(msgs, TrimHistory(history)...)
return msgs
}
// StreamAskPetal opens an SSE-friendly token stream for an Ask Petal reply using
// the conversational sampling parameters from the spec. The caller forwards the
// returned chunks to the browser; the channel closes when generation ends.
func StreamAskPetal(ctx context.Context, client LLMClient, systemPrompt string, history []Message) (<-chan string, error) {
return client.Stream(ctx, CompletionRequest{
Messages: AskPetalMessages(systemPrompt, history),
MaxTokens: 512,
Temperature: 0.7,
RepetitionPenalty: 1.15,
TopP: 0.92,
Stop: []string{"\n\n\n"},
Stream: true,
})
}

224
internal/llm/checkpoint.go Normal file
View File

@@ -0,0 +1,224 @@
package llm
import (
"context"
"encoding/json"
"fmt"
"strings"
"sync"
"time"
)
// CheckpointInterval is the minimum time between grammar checkpoints for a
// single document. The frontend debounces at 4s; this is the server-side floor
// that protects the inference endpoint from rapid repeat checks.
const CheckpointInterval = 30 * time.Second
// checkpointMaxTokens caps the checkpoint's generated output. Each suggestion
// echoes its original sentence, a replacement, and a friendly explanation, so
// the full JSON for the prompt's "up to 5 issues" runs ~2,000 tokens on a long
// document (measured ~2,007 for a 380-word doc). The old 1,024 cap truncated
// the JSON mid-array — done_reason "length" — leaving an object that never
// closed, so ParseCheckpoint found no parseable JSON and the pass 502'd on
// every long doc. This is a ceiling, not a target: the model stops at its JSON
// close well before it, so the headroom costs nothing on shorter docs.
const checkpointMaxTokens = 4096
// RawSuggestion is one item as the model emits it. Positions are resolved
// server-side from Original; the frontend re-anchors by string at render time.
type RawSuggestion struct {
Original string `json:"original"`
Replacement string `json:"replacement"`
Explanation string `json:"explanation"`
Type string `json:"type"`
}
// checkpointResponse is the top-level JSON shape the checkpoint prompt requests.
type checkpointResponse struct {
Suggestions []RawSuggestion `json:"suggestions"`
}
// RunCheckpoint sends the grammar checkpoint and parses the JSON result. It
// applies the latency-guard truncation and the checkpoint sampling parameters
// from the spec.
func RunCheckpoint(ctx context.Context, client LLMClient, contentText, tone string) ([]RawSuggestion, error) {
raw, err := client.Complete(ctx, CompletionRequest{
Messages: CheckpointMessages(TruncateDoc(contentText), tone),
MaxTokens: checkpointMaxTokens,
Temperature: 0.3,
RepetitionPenalty: 1.15,
TopP: 0.9,
Stop: []string{"```", "\n\n\n\n"},
})
if err != nil {
return nil, err
}
return ParseCheckpoint(raw)
}
// ParseCheckpoint extracts the suggestions array from a model response. Smaller
// models sometimes wrap JSON in prose or markdown fences despite instructions,
// so we salvage the outermost {...} object before decoding. When the model
// truncates mid-array (it ran out of output budget) the outer object never
// closes and won't parse — we then recover the suggestion objects that *did*
// complete, so a long document still gets feedback instead of a hard failure.
func ParseCheckpoint(raw string) ([]RawSuggestion, error) {
var suggestions []RawSuggestion
parsed := false
if jsonText := extractJSONObject(raw); jsonText != "" {
var resp checkpointResponse
if err := json.Unmarshal([]byte(jsonText), &resp); err == nil {
suggestions = resp.Suggestions
parsed = true
}
}
if !parsed {
// No closeable object, or it failed to decode (most often a truncated
// array). Salvage the individual suggestion objects that completed.
suggestions = salvageSuggestions(raw)
if suggestions == nil {
return nil, fmt.Errorf("checkpoint: no JSON object in model output: %q", truncateForError(raw))
}
}
// Drop items the model returned with an empty original — they can't be
// anchored — and normalize whitespace the model may have echoed.
out := suggestions[:0]
for _, s := range suggestions {
s.Original = strings.TrimSpace(s.Original)
s.Replacement = strings.TrimSpace(s.Replacement)
if s.Original == "" {
continue
}
out = append(out, s)
}
return out, nil
}
// salvageSuggestions recovers as many complete suggestion objects as it can from
// a response whose top-level JSON didn't parse — typically one truncated mid
// "suggestions" array. It scans the array region for brace-balanced {...}
// objects and keeps each that decodes into a RawSuggestion with a non-empty
// original; the final, cut-off object simply never balances and is dropped.
// Returns nil when there is no salvageable array (so the caller can error).
func salvageSuggestions(raw string) []RawSuggestion {
key := strings.Index(raw, `"suggestions"`)
if key < 0 {
return nil
}
lb := strings.IndexByte(raw[key:], '[')
if lb < 0 {
return nil
}
rest := raw[key+lb+1:]
out := []RawSuggestion{}
for {
obj, end := firstBalancedObject(rest)
if end < 0 {
break
}
var s RawSuggestion
if err := json.Unmarshal([]byte(obj), &s); err == nil && strings.TrimSpace(s.Original) != "" {
out = append(out, s)
}
rest = rest[end:]
}
if len(out) == 0 {
return nil
}
return out
}
// extractJSONObject returns the substring from the first '{' to its matching
// closing '}', or "" if none. Tolerates fences/preamble around the object.
func extractJSONObject(s string) string {
obj, _ := firstBalancedObject(s)
return obj
}
// firstBalancedObject returns the first brace-balanced {...} substring in s and
// the index in s just past its closing brace, or ("", -1) if no object closes
// (none present, or the only one is truncated). String contents — including
// braces inside quoted values — are skipped so they can't unbalance the count.
func firstBalancedObject(s string) (string, int) {
start := strings.IndexByte(s, '{')
if start < 0 {
return "", -1
}
depth := 0
inString := false
escaped := false
for i := start; i < len(s); i++ {
c := s[i]
switch {
case escaped:
escaped = false
case c == '\\' && inString:
escaped = true
case c == '"':
inString = !inString
case inString:
// ignore braces inside strings
case c == '{':
depth++
case c == '}':
depth--
if depth == 0 {
return s[start : i+1], i + 1
}
}
}
return "", -1
}
func truncateForError(s string) string {
const max = 200
if len(s) > max {
return s[:max] + "…"
}
return s
}
// RateLimiter enforces a minimum interval between checkpoints per document.
// Concurrency-safe; one instance is shared across requests.
type RateLimiter struct {
mu sync.Mutex
interval time.Duration
last map[string]time.Time
}
// NewRateLimiter constructs a limiter with the given per-document minimum gap.
func NewRateLimiter(interval time.Duration) *RateLimiter {
return &RateLimiter{interval: interval, last: make(map[string]time.Time)}
}
// Allow reports whether a checkpoint may run for docID now. When allowed it
// records the time and returns (true, 0, recordedAt); when throttled it returns
// (false, retryAfter, zero) where retryAfter is the wait until the next allowed
// run. recordedAt lets a caller whose pass fails hand the exact timestamp to
// Release so it rolls back only its own slot.
func (rl *RateLimiter) Allow(docID string) (bool, time.Duration, time.Time) {
rl.mu.Lock()
defer rl.mu.Unlock()
now := time.Now()
if last, ok := rl.last[docID]; ok {
if elapsed := now.Sub(last); elapsed < rl.interval {
return false, rl.interval - elapsed, time.Time{}
}
}
rl.last[docID] = now
return true, 0, now
}
// Release rolls back the slot a prior Allow recorded for docID, but only if no
// newer Allow has since claimed it. Called when an LLM pass fails: Allow runs
// before the model call, so without this a failed checkpoint would hold the
// per-document slot for the full interval and a retry (or the frontend's
// auto-retry) would hit the throttle path and get the stale/empty set back
// instead of re-running. `at` is the time the failed Allow returned.
func (rl *RateLimiter) Release(docID string, at time.Time) {
rl.mu.Lock()
defer rl.mu.Unlock()
if last, ok := rl.last[docID]; ok && last.Equal(at) {
delete(rl.last, docID)
}
}

View File

@@ -0,0 +1,123 @@
package llm
import (
"testing"
"time"
)
func TestParseCheckpoint(t *testing.T) {
tests := []struct {
name string
raw string
want int
wantErr bool
}{
{
name: "clean json",
raw: `{"suggestions":[{"original":"I has","replacement":"I have","explanation":"subject-verb agreement","type":"grammar"}]}`,
want: 1,
},
{
name: "wrapped in markdown fence",
raw: "Here you go:\n```json\n{\"suggestions\":[{\"original\":\"a apple\",\"replacement\":\"an apple\",\"explanation\":\"use an before a vowel\",\"type\":\"grammar\"}]}\n```",
want: 1,
},
{
name: "empty suggestions",
raw: `{"suggestions":[]}`,
want: 0,
},
{
name: "drops items with empty original",
raw: `{"suggestions":[{"original":"","replacement":"x","explanation":"e","type":"grammar"},{"original":"teh","replacement":"the","explanation":"typo","type":"grammar"}]}`,
want: 1,
},
{
name: "no json at all",
raw: "I could not find any issues!",
wantErr: true,
},
{
name: "braces inside string values",
raw: `{"suggestions":[{"original":"use {x}","replacement":"use x","explanation":"drop the braces","type":"clarity"}]}`,
want: 1,
},
{
// The bug that 502'd every long doc: the model hit num_predict and the
// JSON never closed. Two suggestions completed; the third is cut off.
// Salvage keeps the two that completed instead of failing outright.
name: "truncated mid-array salvages completed objects",
raw: `{"suggestions":[{"original":"I has","replacement":"I have","explanation":"subject-verb agreement","type":"grammar"},{"original":"a apple","replacement":"an apple","explanation":"use an before a vowel","type":"grammar"},{"original":"she relised","replacement":"she real`,
want: 2,
},
{
// A truncated array where even the first object is incomplete has
// nothing to salvage → still an error (the caller releases + retries).
name: "truncated before any object closes",
raw: `{"suggestions":[{"original":"It was a thursdy morning when Clara`,
wantErr: true,
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
got, err := ParseCheckpoint(tt.raw)
if tt.wantErr {
if err == nil {
t.Fatalf("expected error, got none")
}
return
}
if err != nil {
t.Fatalf("unexpected error: %v", err)
}
if len(got) != tt.want {
t.Fatalf("got %d suggestions, want %d", len(got), tt.want)
}
})
}
}
func TestRateLimiter(t *testing.T) {
rl := NewRateLimiter(30 * time.Second)
ok, _, at := rl.Allow("doc1")
if !ok {
t.Fatal("first call should be allowed")
}
if ok, retry, _ := rl.Allow("doc1"); ok || retry <= 0 {
t.Fatalf("immediate second call should be throttled, got ok=%v retry=%v", ok, retry)
}
// A different document is independent.
if ok, _, _ := rl.Allow("doc2"); !ok {
t.Fatal("different doc should be allowed")
}
// Releasing doc1's slot (as a failed pass does) lets the next check re-run
// immediately instead of waiting out the interval.
rl.Release("doc1", at)
if ok, _, _ := rl.Allow("doc1"); !ok {
t.Fatal("after Release the next call should be allowed again")
}
// Release only rolls back its own slot: a stale timestamp must not evict the
// slot a newer Allow holds (so a late failure can't cancel a fresh in-flight
// check). doc2 still holds its slot from above; a zero-time Release is a no-op.
rl.Release("doc2", time.Time{})
if ok, _, _ := rl.Allow("doc2"); ok {
t.Fatal("stale Release must not free doc2's current slot")
}
}
func TestTruncateDoc(t *testing.T) {
short := "hello"
if got := TruncateDoc(short); got != short {
t.Fatalf("short doc should be unchanged")
}
long := make([]byte, maxDocChars+500)
for i := range long {
long[i] = 'a'
}
got := TruncateDoc(string(long))
if len(got) != maxDocChars {
t.Fatalf("truncated length = %d, want %d", len(got), maxDocChars)
}
}

110
internal/llm/client.go Normal file
View File

@@ -0,0 +1,110 @@
// Package llm wraps the local inference endpoint behind a backend-agnostic
// interface. Two concrete backends — vLLM (OpenAI-compatible) and Ollama
// (native) — implement LLMClient; the rest of the app (the grammar checkpoint,
// Ask Petal) calls the interface only and never knows which one is active.
package llm
import (
"context"
"time"
"gitea.parodia.dev/drwily/petal/internal/config"
)
// Message is one chat turn sent to the model.
type Message struct {
Role string `json:"role"`
Content string `json:"content"`
}
// CompletionRequest is the backend-neutral request shape. Each backend maps
// these fields onto its own wire format (see the parameter cheatsheet in the
// spec). Zero-valued sampling fields fall back to backend defaults.
type CompletionRequest struct {
Messages []Message
MaxTokens int
Temperature float64
RepetitionPenalty float64
TopP float64
Stop []string
Stream bool
}
// LLMClient is the single surface handler code depends on.
type LLMClient interface {
// Complete returns the full response in one shot (used for the checkpoint
// JSON, which we want whole before parsing).
Complete(ctx context.Context, req CompletionRequest) (string, error)
// Stream returns a channel of text chunks (used for Ask Petal SSE). The
// channel closes when generation ends; on a mid-stream error it closes
// early and the error is reported via the returned error of a future call.
Stream(ctx context.Context, req CompletionRequest) (<-chan string, error)
}
// Truncation caps. These guard checkpoint latency (prefill time scales with
// input length), not the model window — Qwen 3.5 ships 256K, far larger.
const (
// maxDocChars ~ 10,000 tokens at ~4 chars/token. Grammar checkpoint only;
// the voice pass sends the whole document uncut.
maxDocChars = 40000
// maxHistoryMsgs caps the rolling Ask Petal history (5 turns); oldest pairs
// drop first.
maxHistoryMsgs = 10
)
// TruncateDoc keeps the recent end of a document — the user is actively writing
// there — when it exceeds the grammar-checkpoint latency cap. Most documents
// fit uncut. The voice pass deliberately does NOT call this.
func TruncateDoc(contentText string) string {
if len(contentText) > maxDocChars {
return contentText[len(contentText)-maxDocChars:]
}
return contentText
}
// TrimHistory keeps the most recent maxHistoryMsgs messages, dropping the
// oldest first so a long Ask Petal chat stays within budget.
func TrimHistory(msgs []Message) []Message {
if len(msgs) > maxHistoryMsgs {
return msgs[len(msgs)-maxHistoryMsgs:]
}
return msgs
}
// NewLLMClient selects a backend from config. LLM_CHAT_MODEL falls back to
// LLM_MODEL here, in the factory, so handlers never deal with the fallback.
func NewLLMClient(cfg *config.Config) LLMClient {
chatModel := cfg.LLMChatModel
if chatModel == "" {
chatModel = cfg.LLMModel
}
base := backend{
endpoint: cfg.LLMEndpoint,
checkpointModel: cfg.LLMModel,
chatModel: chatModel,
timeout: cfg.LLMTimeout,
}
switch cfg.LLMBackend {
case "ollama":
return &OllamaClient{base}
default: // "vllm"
return &VLLMClient{base}
}
}
// backend holds the fields shared by both concrete clients.
type backend struct {
endpoint string
checkpointModel string // LLM_MODEL — small/fast checkpoint model
chatModel string // LLM_CHAT_MODEL (or LLM_MODEL) — Ask Petal model
timeout time.Duration
}
// model picks the right model id for a request. Streaming requests are Ask
// Petal (chat); one-shot Complete calls are the grammar checkpoint.
func (b backend) model(req CompletionRequest) string {
if req.Stream {
return b.chatModel
}
return b.checkpointModel
}

131
internal/llm/ollama.go Normal file
View File

@@ -0,0 +1,131 @@
package llm
import (
"bufio"
"context"
"encoding/json"
"fmt"
"net/http"
)
// OllamaClient talks to Ollama's native /api/chat endpoint. Selected when
// LLM_BACKEND=ollama.
type OllamaClient struct {
backend
}
// ollamaRequest mirrors Ollama's /api/chat body. Sampling parameters live under
// "options" (see the cheatsheet in the spec).
//
// Think is sent false unconditionally: reasoning models (e.g. qwen3.5) otherwise
// stream their chain-of-thought into a separate "thinking" field and can exhaust
// num_predict before emitting any answer in "content" — leaving us an empty
// response. We want direct output (structured JSON for the checkpoint, concise
// prose for chat), not reasoning. Non-thinking models simply ignore the flag.
type ollamaRequest struct {
Model string `json:"model"`
Messages []Message `json:"messages"`
Stream bool `json:"stream"`
Think bool `json:"think"`
Options ollamaOptions `json:"options"`
}
type ollamaOptions struct {
NumPredict int `json:"num_predict"`
Temperature float64 `json:"temperature"`
RepeatPenalty float64 `json:"repeat_penalty"`
TopP float64 `json:"top_p"`
Stop []string `json:"stop,omitempty"`
}
func (c *OllamaClient) body(req CompletionRequest) ollamaRequest {
return ollamaRequest{
Model: c.model(req),
Messages: req.Messages,
Stream: req.Stream,
Options: ollamaOptions{
NumPredict: req.MaxTokens,
Temperature: req.Temperature,
RepeatPenalty: req.RepetitionPenalty,
TopP: req.TopP,
Stop: req.Stop,
},
}
}
// Complete sends a non-streaming request and returns the full message content.
func (c *OllamaClient) Complete(ctx context.Context, req CompletionRequest) (string, error) {
req.Stream = false
ctx, cancel := context.WithTimeout(ctx, c.timeout)
defer cancel()
resp, err := c.post(ctx, c.body(req))
if err != nil {
return "", err
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
return "", httpError("ollama", resp)
}
var out struct {
Message struct {
Content string `json:"content"`
} `json:"message"`
}
if err := json.NewDecoder(resp.Body).Decode(&out); err != nil {
return "", fmt.Errorf("ollama: decode response: %w", err)
}
return out.Message.Content, nil
}
// Stream sends a streaming request. Ollama emits newline-delimited JSON objects;
// we forward each message.content and stop when done:true.
func (c *OllamaClient) Stream(ctx context.Context, req CompletionRequest) (<-chan string, error) {
req.Stream = true
resp, err := c.post(ctx, c.body(req))
if err != nil {
return nil, err
}
if resp.StatusCode != http.StatusOK {
defer resp.Body.Close()
return nil, httpError("ollama", resp)
}
ch := make(chan string)
go func() {
defer close(ch)
defer resp.Body.Close()
sc := bufio.NewScanner(resp.Body)
sc.Buffer(make([]byte, 0, 64*1024), 1024*1024)
for sc.Scan() {
line := sc.Bytes()
if len(line) == 0 {
continue
}
var chunk struct {
Message struct {
Content string `json:"content"`
} `json:"message"`
Done bool `json:"done"`
}
if err := json.Unmarshal(line, &chunk); err != nil {
continue
}
if chunk.Message.Content != "" {
select {
case ch <- chunk.Message.Content:
case <-ctx.Done():
return
}
}
if chunk.Done {
return
}
}
}()
return ch, nil
}
func (c *OllamaClient) post(ctx context.Context, body any) (*http.Response, error) {
return postJSON(ctx, c.endpoint+"/api/chat", body)
}

188
internal/llm/prompts.go Normal file
View File

@@ -0,0 +1,188 @@
package llm
import "fmt"
// checkpointSystemPrompt is the grammar-checkpoint instruction. It asks for
// strict JSON (no fences, no preamble) so Complete's output parses directly.
const checkpointSystemPrompt = `You are a warm, encouraging writing assistant helping someone who speaks English as a second language. ` +
`Analyze the text below and identify up to 5 issues: grammar errors, unnatural phrasing, ` +
`incorrect idiom usage, or unclear sentences that are common ESL patterns.
Be specific, friendly, and explain WHY each suggestion improves the writing.%s
Respond ONLY with valid JSON. No preamble, no markdown fences. Format:
{
"suggestions": [
{
"original": "exact text from the document that needs fixing",
"replacement": "corrected version",
"explanation": "friendly one-sentence explanation",
"type": "grammar|phrasing|idiom|clarity"
}
]
}
If the writing looks good, return: {"suggestions": []}`
// toneGuidance returns a sentence steering the checkpoint toward the writer's
// chosen tone, or "" for the neutral default. The clause is appended to the
// checkpoint instructions so the model's phrasing suggestions fit the target
// register (e.g. an academic essay vs a casual journal). Unknown values fall
// back to no steering, so a stray tone string is harmless.
func toneGuidance(tone string) string {
clause, ok := map[string]string{
"academic": "formal, academic, and objective — suited to a school essay or research paper",
"professional": "polished and professional — suited to a workplace email or report",
"casual": "relaxed, friendly, and conversational",
"humorous": "light, playful, and good-humored",
"creative": "vivid, expressive, and imaginative — suited to a story or personal narrative",
"persuasive": "confident and persuasive — suited to an argument or opinion piece",
}[tone]
if !ok {
return ""
}
return "\n\nThe writer wants this document to read as " + clause + ". When phrasing could " +
"be improved, prefer suggestions that fit that tone, and gently flag wording that clashes with it."
}
// CheckpointMessages builds the message array for a grammar checkpoint over the
// given (already-truncated) document text, steered toward the document's tone.
func CheckpointMessages(contentText, tone string) []Message {
return []Message{
{Role: "system", Content: fmt.Sprintf(checkpointSystemPrompt, toneGuidance(tone))},
{Role: "user", Content: contentText},
}
}
// voiceSystemPrompt drives the Tier-1 voice-consistency pass. It is a distinct
// pass from the grammar checkpoint (spec: "do not bundle them") — the model
// reads the whole document to learn the writer's natural voice, then flags
// passages that read as tonally out of place. `replacement` is null: these are
// awareness-only, with no correction to apply.
const voiceSystemPrompt = `You are a warm, encouraging writing assistant helping someone who speaks English as a second language. ` +
`You are reviewing a COMPLETE document for VOICE CONSISTENCY only — not grammar.
Read the whole document to learn the writer's natural voice, then identify any passages (2 or more sentences) ` +
`that feel tonally inconsistent with the surrounding writing — unusually formal, unusually polished, or phrased ` +
`in a way that differs from the writer's established voice elsewhere in the document. These often signal text ` +
`that was paraphrased too closely from another source. Do not flag the first paragraph (there is no baseline yet). ` +
`Do not flag grammar or spelling mistakes — only voice.
Respond ONLY with valid JSON. No preamble, no markdown fences. Format:
{
"suggestions": [
{
"original": "exact passage from the document that feels inconsistent",
"replacement": null,
"explanation": "friendly one-sentence note, e.g. 'This passage sounds more formal than the rest of your writing — worth reviewing.'",
"type": "voice"
}
]
}
If the voice is consistent throughout, return: {"suggestions": []}`
// VoiceMessages builds the message array for a voice-consistency pass. Unlike
// the checkpoint, the caller passes the WHOLE document (no truncation) — voice
// consistency is judged against the established voice everywhere else.
func VoiceMessages(contentText string) []Message {
return []Message{
{Role: "system", Content: voiceSystemPrompt},
{Role: "user", Content: contentText},
}
}
// askPetalSystemTemplate is the Ask Petal tutor prompt. The suggestion context
// is interpolated in; the user's own messages are appended after this system
// turn by the caller.
const askPetalSystemTemplate = `You are Petal, a warm and patient English writing tutor helping someone who is learning English ` +
`as a second language. You are currently discussing a specific writing suggestion.
Suggestion context:
- Original text: "%s"
- Suggested replacement: "%s"
- Issue type: %s
- Initial explanation: "%s"
- Surrounding paragraph: "%s"
The user wants to understand this suggestion better. Detect the language of the user's message ` +
`and respond in that same language. If they write in Mandarin Chinese, respond entirely in ` +
`Mandarin. If they write in English, respond in English. Never mix languages in a single response.
Explain clearly and kindly. Use simple language appropriate to the user's message. Give examples ` +
`when helpful. If they ask "why" (or "为什么"), explain the grammar rule or idiom behind it. ` +
`If they suggest an alternative phrasing, evaluate it honestly.
Keep responses concise (2-4 sentences). This is a chat, not an essay. Be encouraging — ` +
`learning a language is hard and they're doing great.`
// AskPetalSystemPrompt fills the tutor prompt with one suggestion's context.
func AskPetalSystemPrompt(original, replacement, suggestionType, explanation, paragraph string) string {
return fmt.Sprintf(askPetalSystemTemplate, original, replacement, suggestionType, explanation, paragraph)
}
// rewriteSystemTemplate drives the "say it more naturally" / tone-rewrite tool.
// The writer selects a passage and picks a style; the model rewrites that
// passage in place. The instruction is deliberately strict about returning ONLY
// the rewritten passage so the result can be dropped straight into the editor —
// no quotes, no preamble, no commentary to strip.
const rewriteSystemTemplate = `You are Petal, a warm English writing assistant helping someone who speaks English ` +
`as a second language. Rewrite the passage the user sends so that it %s, while preserving its original ` +
`meaning. Fix any grammar mistakes and awkward phrasing along the way. Keep it about the same length — ` +
`do not add new ideas, explanations, or commentary.
Respond with ONLY the rewritten passage. No quotation marks around it, no preamble, no notes — just the ` +
`rewritten English text, ready to drop back into the document.`
// styleGuidance maps a rewrite style onto the clause describing the target
// register. "natural" is the default "say it more naturally" action; the rest
// mirror the document-tone vocabulary (see toneGuidance / the ToneSelect UI).
// An unknown style falls back to the natural rewrite.
func styleGuidance(style string) string {
switch style {
case "academic":
return "reads as formal, academic English suited to a school essay or research paper"
case "professional":
return "reads as polished, professional English suited to a workplace email or report"
case "casual":
return "sounds relaxed, friendly, and conversational"
case "humorous":
return "has a light, playful, good-humored tone"
case "creative":
return "is vivid, expressive, and imaginative"
case "persuasive":
return "is confident and persuasive"
default: // "natural"
return "sounds natural and fluent, the way a native English speaker would naturally say it"
}
}
// RewriteMessages builds the message array for a tone-rewrite: the styled system
// instruction plus the passage to rewrite as the user turn.
func RewriteMessages(text, style string) []Message {
return []Message{
{Role: "system", Content: fmt.Sprintf(rewriteSystemTemplate, styleGuidance(style))},
{Role: "user", Content: text},
}
}
// translateSystemPrompt drives the explanation translator: it renders a
// suggestion's English explanation into Simplified Chinese so an ESL reader sees
// the "why" in her first language. Strict about returning ONLY the translation
// (no quotes, no pinyin, no English echo) so it can drop straight into the chat
// bubble. Kept warm and plain — these are short, friendly one-liners.
const translateSystemPrompt = `You are Petal, a warm writing assistant. Translate the English text the user ` +
`sends into natural, friendly Simplified Chinese (Mandarin). It is a short explanation of a writing ` +
`suggestion, written for a native Chinese speaker learning English.
Respond with ONLY the Simplified Chinese translation. No quotation marks, no pinyin, no English, no preamble — ` +
`just the translated sentence.`
// TranslateMessages builds the message array for translating one short English
// explanation into Simplified Chinese.
func TranslateMessages(text string) []Message {
return []Message{
{Role: "system", Content: translateSystemPrompt},
{Role: "user", Content: text},
}
}

46
internal/llm/rewrite.go Normal file
View File

@@ -0,0 +1,46 @@
package llm
import (
"context"
"strings"
)
// RewriteMaxRunes caps how much selected text a single rewrite will accept. A
// rewrite is a focused "fix this sentence/paragraph" action, not a whole-doc
// pass — bounding it keeps latency sane and the model on-task. The handler
// rejects longer selections before calling the model.
const RewriteMaxRunes = 2000
// RunRewrite rewrites a selected passage in the requested style (e.g. "natural",
// "academic"). It is a one-shot Complete — the result is shown as a preview the
// writer accepts or discards, so we want the whole rewrite before rendering.
func RunRewrite(ctx context.Context, client LLMClient, text, style string) (string, error) {
out, err := client.Complete(ctx, CompletionRequest{
Messages: RewriteMessages(text, style),
MaxTokens: 1024,
Temperature: 0.7,
TopP: 0.9,
RepetitionPenalty: 1.1,
})
if err != nil {
return "", err
}
return cleanRewrite(out), nil
}
// cleanRewrite trims the model's output down to just the rewritten passage. The
// prompt asks for no quotes or preamble, but small instruct models occasionally
// wrap the answer in matching quotes — strip a single surrounding pair so the
// text drops cleanly into the editor.
func cleanRewrite(s string) string {
s = strings.TrimSpace(s)
if len(s) >= 2 {
first, last := s[0], s[len(s)-1]
if (first == '"' && last == '"') ||
(first == '\'' && last == '\'') ||
(strings.HasPrefix(s, "“") && strings.HasSuffix(s, "”")) {
s = strings.TrimSpace(strings.Trim(s, "\"'“”"))
}
}
return s
}

23
internal/llm/translate.go Normal file
View File

@@ -0,0 +1,23 @@
package llm
import (
"context"
)
// RunTranslate renders a short English explanation into Simplified Chinese. It
// is a one-shot Complete (the result seeds the Ask Petal bubble), kept at a low
// temperature so the translation is faithful rather than creative. Output is
// trimmed of any stray surrounding quotes the model may add.
func RunTranslate(ctx context.Context, client LLMClient, text string) (string, error) {
out, err := client.Complete(ctx, CompletionRequest{
Messages: TranslateMessages(text),
MaxTokens: 512,
Temperature: 0.2,
TopP: 0.9,
RepetitionPenalty: 1.1,
})
if err != nil {
return "", err
}
return cleanRewrite(out), nil
}

156
internal/llm/vllm.go Normal file
View File

@@ -0,0 +1,156 @@
package llm
import (
"bufio"
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"strings"
)
// VLLMClient talks to an OpenAI-compatible /v1/chat/completions endpoint
// (vLLM's API server). It is the default backend.
type VLLMClient struct {
backend
}
// vllmRequest is the OpenAI-compatible request body. repetition_penalty is a
// vLLM extension to the OpenAI schema, which vLLM accepts.
type vllmRequest struct {
Model string `json:"model"`
Messages []Message `json:"messages"`
MaxTokens int `json:"max_tokens"`
Temperature float64 `json:"temperature"`
RepetitionPenalty float64 `json:"repetition_penalty"`
TopP float64 `json:"top_p"`
Stop []string `json:"stop,omitempty"`
Stream bool `json:"stream"`
}
func (c *VLLMClient) body(req CompletionRequest) vllmRequest {
return vllmRequest{
Model: c.model(req),
Messages: req.Messages,
MaxTokens: req.MaxTokens,
Temperature: req.Temperature,
RepetitionPenalty: req.RepetitionPenalty,
TopP: req.TopP,
Stop: req.Stop,
Stream: req.Stream,
}
}
// Complete sends a non-streaming request and returns the full message content.
func (c *VLLMClient) Complete(ctx context.Context, req CompletionRequest) (string, error) {
req.Stream = false
ctx, cancel := context.WithTimeout(ctx, c.timeout)
defer cancel()
resp, err := c.post(ctx, c.body(req))
if err != nil {
return "", err
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
return "", httpError("vllm", resp)
}
var out struct {
Choices []struct {
Message struct {
Content string `json:"content"`
} `json:"message"`
} `json:"choices"`
}
if err := json.NewDecoder(resp.Body).Decode(&out); err != nil {
return "", fmt.Errorf("vllm: decode response: %w", err)
}
if len(out.Choices) == 0 {
return "", fmt.Errorf("vllm: empty choices in response")
}
return out.Choices[0].Message.Content, nil
}
// Stream sends a streaming request and emits delta content chunks on the
// returned channel, which closes when the stream ends ([DONE]) or ctx is done.
func (c *VLLMClient) Stream(ctx context.Context, req CompletionRequest) (<-chan string, error) {
req.Stream = true
resp, err := c.post(ctx, c.body(req))
if err != nil {
return nil, err
}
if resp.StatusCode != http.StatusOK {
defer resp.Body.Close()
return nil, httpError("vllm", resp)
}
ch := make(chan string)
go func() {
defer close(ch)
defer resp.Body.Close()
sc := bufio.NewScanner(resp.Body)
sc.Buffer(make([]byte, 0, 64*1024), 1024*1024)
for sc.Scan() {
line := strings.TrimSpace(sc.Text())
if !strings.HasPrefix(line, "data:") {
continue
}
data := strings.TrimSpace(strings.TrimPrefix(line, "data:"))
if data == "[DONE]" {
return
}
var chunk struct {
Choices []struct {
Delta struct {
Content string `json:"content"`
} `json:"delta"`
} `json:"choices"`
}
if err := json.Unmarshal([]byte(data), &chunk); err != nil {
continue // skip keep-alives / malformed frames
}
if len(chunk.Choices) == 0 {
continue
}
if text := chunk.Choices[0].Delta.Content; text != "" {
select {
case ch <- text:
case <-ctx.Done():
return
}
}
}
}()
return ch, nil
}
func (c *VLLMClient) post(ctx context.Context, body any) (*http.Response, error) {
return postJSON(ctx, c.endpoint+"/v1/chat/completions", body)
}
// --- shared HTTP helpers (used by both backends) ---------------------------
// llmHTTP has no client-level timeout: Complete bounds itself with a context
// deadline (LLM_TIMEOUT), and streaming requests must stay open as long as the
// model is generating. Cancellation flows through the request context.
var llmHTTP = &http.Client{}
func postJSON(ctx context.Context, url string, body any) (*http.Response, error) {
buf, err := json.Marshal(body)
if err != nil {
return nil, err
}
req, err := http.NewRequestWithContext(ctx, http.MethodPost, url, bytes.NewReader(buf))
if err != nil {
return nil, err
}
req.Header.Set("Content-Type", "application/json")
return llmHTTP.Do(req)
}
func httpError(backend string, resp *http.Response) error {
b, _ := io.ReadAll(io.LimitReader(resp.Body, 2048))
return fmt.Errorf("%s: %s: %s", backend, resp.Status, strings.TrimSpace(string(b)))
}

35
internal/llm/voice.go Normal file
View File

@@ -0,0 +1,35 @@
package llm
import (
"context"
"time"
)
// VoiceInterval is the minimum gap between voice-consistency passes for one
// document. The pass is whole-document and slow, and it runs on an explicit
// user action rather than a typing cadence, so this floor only guards the
// inference endpoint against the button being mashed.
const VoiceInterval = 20 * time.Second
// RunVoice sends the WHOLE document — deliberately NOT TruncateDoc'd, since
// voice consistency is judged against the established voice everywhere else —
// for a Tier-1 voice pass and parses the JSON result. It reuses the checkpoint's
// tolerant parser and a larger token budget, since one pass may flag several
// passages. Each flag carries a null replacement (awareness-only).
// The tone argument is accepted for a uniform pass signature but ignored: voice
// consistency is judged against the document's own established voice, not an
// externally-chosen register.
func RunVoice(ctx context.Context, client LLMClient, contentText, _ string) ([]RawSuggestion, error) {
raw, err := client.Complete(ctx, CompletionRequest{
Messages: VoiceMessages(contentText),
MaxTokens: 2048,
Temperature: 0.3,
RepetitionPenalty: 1.15,
TopP: 0.9,
Stop: []string{"```", "\n\n\n\n"},
})
if err != nil {
return nil, err
}
return ParseCheckpoint(raw)
}

View File

@@ -0,0 +1,126 @@
package suggestions
import (
"database/sql"
"encoding/json"
"errors"
"net/http"
"strings"
"github.com/go-chi/chi/v5"
"gitea.parodia.dev/drwily/petal/internal/db"
"gitea.parodia.dev/drwily/petal/internal/llm"
)
// chatRequest is the body the AskPetal panel posts: the full conversation so
// far. The suggestion context is loaded server-side and never trusted from the
// client (spec Note #10).
type chatRequest struct {
Messages []llm.Message `json:"messages"`
}
// chat streams an Ask Petal conversational reply over SSE. It loads the
// suggestion and its parent document's surrounding paragraph, injects them as
// the tutor system prompt, then relays the model's tokens to the browser as
// `data:` events. History persistence lives entirely in the client.
func (h *Handler) chat(w http.ResponseWriter, r *http.Request) {
sugID := chi.URLParam(r, "id")
var body chatRequest
if err := json.NewDecoder(r.Body).Decode(&body); err != nil {
errorJSON(w, http.StatusBadRequest, "invalid request body")
return
}
// One query for the suggestion fields and the parent document's plain text,
// scoped to the local user so a stray id can't read another user's doc.
var (
original, replacement, explanation, typ string
fromPos int
contentText string
)
err := h.DB.QueryRow(
`SELECT s.original, s.replacement, s.explanation, s.type, s.from_pos, d.content_text
FROM suggestions s
JOIN documents d ON d.id = s.doc_id
WHERE s.id = ? AND d.user_id = ?`,
sugID, db.LocalUserID,
).Scan(&original, &replacement, &explanation, &typ, &fromPos, &contentText)
if errors.Is(err, sql.ErrNoRows) {
errorJSON(w, http.StatusNotFound, "suggestion not found")
return
}
if err != nil {
serverError(w, err)
return
}
paragraph := surroundingParagraph(contentText, fromPos)
systemPrompt := llm.AskPetalSystemPrompt(original, replacement, typ, explanation, paragraph)
// SSE requires an unbuffered, flushable writer. chi's middleware writers pass
// Flush through; bail with a plain error if somehow they don't.
flusher, ok := w.(http.Flusher)
if !ok {
serverError(w, errors.New("streaming unsupported"))
return
}
ch, err := llm.StreamAskPetal(r.Context(), h.Client, systemPrompt, body.Messages)
if err != nil {
// The stream never opened (e.g. LLM unreachable) — a normal JSON error is
// still appropriate since we haven't written SSE headers yet.
errorJSON(w, http.StatusBadGateway, "chat failed: "+err.Error())
return
}
w.Header().Set("Content-Type", "text/event-stream")
w.Header().Set("Cache-Control", "no-cache")
w.Header().Set("Connection", "keep-alive")
w.Header().Set("X-Accel-Buffering", "no") // disable proxy buffering (e.g. nginx)
w.WriteHeader(http.StatusOK)
flusher.Flush()
for chunk := range ch {
writeSSE(w, "token", map[string]string{"text": chunk})
flusher.Flush()
}
// Signal a clean end so the client can stop reading without waiting on EOF.
writeSSE(w, "done", map[string]bool{"done": true})
flusher.Flush()
}
// writeSSE emits one named SSE event with a JSON data payload. JSON-encoding the
// data keeps token text (which may contain newlines) from breaking SSE framing.
func writeSSE(w http.ResponseWriter, event string, data any) {
payload, err := json.Marshal(data)
if err != nil {
return
}
_, _ = w.Write([]byte("event: " + event + "\ndata: "))
_, _ = w.Write(payload)
_, _ = w.Write([]byte("\n\n"))
}
// surroundingParagraph returns the paragraph of contentText containing the
// plain-text offset from. Tiptap flattens blocks with blank-line separators, so
// paragraphs are bounded by "\n\n". When the offset is unknown (original wasn't
// located, from == -1) it falls back to the latency-capped document so the tutor
// still has context to work with.
func surroundingParagraph(contentText string, from int) string {
if from < 0 || from > len(contentText) {
return strings.TrimSpace(llm.TruncateDoc(contentText))
}
start := strings.LastIndex(contentText[:from], "\n\n")
if start < 0 {
start = 0
} else {
start += 2
}
end := len(contentText)
if rel := strings.Index(contentText[from:], "\n\n"); rel >= 0 {
end = from + rel
}
return strings.TrimSpace(contentText[start:end])
}

View File

@@ -0,0 +1,148 @@
package suggestions
import (
"context"
"encoding/json"
"net/http"
"strings"
"testing"
"gitea.parodia.dev/drwily/petal/internal/db"
"gitea.parodia.dev/drwily/petal/internal/llm"
)
// streamClient serves a canned checkpoint (so a suggestion can be seeded through
// the public /check route) and a fixed token stream for chat. It records the
// last streamed request so a test can assert on the injected system context.
type streamClient struct {
checkpoint string
tokens []string
lastStream llm.CompletionRequest
}
func (c *streamClient) Complete(_ context.Context, _ llm.CompletionRequest) (string, error) {
return c.checkpoint, nil
}
func (c *streamClient) Stream(_ context.Context, req llm.CompletionRequest) (<-chan string, error) {
c.lastStream = req
ch := make(chan string)
go func() {
defer close(ch)
for _, t := range c.tokens {
ch <- t
}
}()
return ch, nil
}
func TestAskPetalChat(t *testing.T) {
client := &streamClient{
checkpoint: `{"suggestions":[{"original":"I has","replacement":"I have","explanation":"subject-verb agreement","type":"grammar"}]}`,
tokens: []string{"Because ", "\"I\" ", "takes ", "\"have\"."},
}
srv, docID, _ := newTestServer(t, client)
// Seed one suggestion via the checkpoint route, then grab its id.
do(t, srv, http.MethodPost, "/docs/"+docID+"/check", "")
listed := do(t, srv, http.MethodGet, "/docs/"+docID+"/suggestions", "")
var sugs []db.Suggestion
if err := json.Unmarshal(listed.Body.Bytes(), &sugs); err != nil {
t.Fatalf("decode suggestions: %v", err)
}
if len(sugs) != 1 {
t.Fatalf("seed: want 1 suggestion, got %d", len(sugs))
}
sugID := sugs[0].ID
rec := do(t, srv, http.MethodPost, "/suggestions/"+sugID+"/chat",
`{"messages":[{"role":"user","content":"why is this wrong?"}]}`)
if rec.Code != http.StatusOK {
t.Fatalf("chat: code=%d body=%s", rec.Code, rec.Body)
}
if ct := rec.Header().Get("Content-Type"); ct != "text/event-stream" {
t.Fatalf("chat: content-type=%q, want text/event-stream", ct)
}
// The streamed tokens should arrive concatenated across data: events, and the
// stream should terminate with a done event.
body := rec.Body.String()
got := collectSSEText(body)
if want := "Because \"I\" takes \"have\"."; got != want {
t.Fatalf("streamed text = %q, want %q", got, want)
}
if !strings.Contains(body, "event: done") {
t.Fatalf("chat stream missing done event:\n%s", body)
}
// Context injection: the system prompt (first message) must carry the
// suggestion's original text and the surrounding paragraph — loaded
// server-side, never from the client.
msgs := client.lastStream.Messages
if len(msgs) < 2 || msgs[0].Role != "system" {
t.Fatalf("expected a leading system message, got %+v", msgs)
}
sys := msgs[0].Content
if !strings.Contains(sys, "I has") {
t.Fatalf("system prompt missing original text:\n%s", sys)
}
if !strings.Contains(sys, "I has two apple.") {
t.Fatalf("system prompt missing surrounding paragraph:\n%s", sys)
}
// The client's user message rides after the system turn.
if last := msgs[len(msgs)-1]; last.Role != "user" || last.Content != "why is this wrong?" {
t.Fatalf("user message not forwarded: %+v", last)
}
// Chat sampling parameters from the spec.
if client.lastStream.MaxTokens != 512 || client.lastStream.Temperature != 0.7 {
t.Fatalf("unexpected chat params: %+v", client.lastStream)
}
}
func TestAskPetalChatNotFound(t *testing.T) {
client := &streamClient{checkpoint: `{"suggestions":[]}`}
srv, _, _ := newTestServer(t, client)
rec := do(t, srv, http.MethodPost, "/suggestions/does-not-exist/chat",
`{"messages":[{"role":"user","content":"hi"}]}`)
if rec.Code != http.StatusNotFound {
t.Fatalf("want 404 for unknown suggestion, got %d", rec.Code)
}
}
func TestSurroundingParagraph(t *testing.T) {
text := "First paragraph here.\n\nThe target sentence lives here.\n\nThird paragraph."
from := strings.Index(text, "target")
got := surroundingParagraph(text, from)
if got != "The target sentence lives here." {
t.Fatalf("paragraph = %q", got)
}
// Unknown offset falls back to the (trimmed) document.
if got := surroundingParagraph(text, -1); !strings.Contains(got, "First paragraph") {
t.Fatalf("fallback paragraph = %q", got)
}
}
// collectSSEText concatenates the JSON text fields from every `event: token`
// frame in an SSE body.
func collectSSEText(body string) string {
var b strings.Builder
for _, frame := range strings.Split(body, "\n\n") {
if !strings.Contains(frame, "event: token") {
continue
}
for _, line := range strings.Split(frame, "\n") {
data, ok := strings.CutPrefix(line, "data: ")
if !ok {
continue
}
var payload struct {
Text string `json:"text"`
}
_ = json.Unmarshal([]byte(data), &payload)
b.WriteString(payload.Text)
}
}
return b.String()
}

View File

@@ -0,0 +1,344 @@
// Package suggestions implements the grammar-checkpoint endpoint and the
// accept/dismiss surface for LLM-proposed edits. Checkpoints run a single LLM
// pass over a document and persist the resulting pending suggestions; the
// frontend re-anchors each one by its `original` string at render time, so the
// stored positions are advisory only (spec Note #6).
package suggestions
import (
"context"
"database/sql"
"encoding/json"
"errors"
"net/http"
"strings"
"github.com/go-chi/chi/v5"
"gitea.parodia.dev/drwily/petal/internal/db"
"gitea.parodia.dev/drwily/petal/internal/llm"
)
// Handler holds the dependencies for the checkpoint + suggestion routes. The
// grammar checkpoint and the voice pass each get their own per-document rate
// limiter — they are independent passes with different cadences.
type Handler struct {
DB *db.DB
Client llm.LLMClient
Limit *llm.RateLimiter // grammar checkpoint floor
VoiceLimit *llm.RateLimiter // voice-consistency floor
}
// New constructs a Handler with per-document checkpoint and voice rate limiters.
func New(database *db.DB, client llm.LLMClient) *Handler {
return &Handler{
DB: database,
Client: client,
Limit: llm.NewRateLimiter(llm.CheckpointInterval),
VoiceLimit: llm.NewRateLimiter(llm.VoiceInterval),
}
}
// RegisterDocRoutes adds the document-scoped routes (check + voice + list) onto
// the existing /api/docs router so they share its base path.
func (h *Handler) RegisterDocRoutes(r chi.Router) {
r.Post("/{id}/check", h.check)
r.Post("/{id}/voice", h.voice)
r.Post("/{id}/rewrite", h.rewrite)
r.Get("/{id}/suggestions", h.listForDoc)
}
// Routes returns the router mounted at /api/suggestions for per-suggestion
// actions.
func (h *Handler) Routes() chi.Router {
r := chi.NewRouter()
r.Post("/{id}/accept", h.accept)
r.Post("/{id}/dismiss", h.dismiss)
r.Post("/{id}/chat", h.chat)
r.Post("/{id}/translate", h.translate)
return r
}
// check runs a grammar checkpoint over the document. Fast, typing-cadence pass.
func (h *Handler) check(w http.ResponseWriter, r *http.Request) {
h.runPass(w, r, h.Limit, llm.RunCheckpoint, grammarScope)
}
// voice runs a Tier-1 voice-consistency pass over the whole document. Slow,
// explicit-action pass; replaces only the pending voice flags.
func (h *Handler) voice(w http.ResponseWriter, r *http.Request) {
h.runPass(w, r, h.VoiceLimit, llm.RunVoice, voiceScope)
}
// pass is the signature shared by the grammar checkpoint and the voice pass:
// given the document text and the document's tone it returns the model's raw
// suggestions. The voice pass ignores tone (see llm.RunVoice).
type pass func(ctx context.Context, client llm.LLMClient, contentText, tone string) ([]llm.RawSuggestion, error)
// runPass is the shared body for both LLM passes. It loads the document text,
// enforces the pass's per-document rate limit, runs the model, swaps in the
// fresh batch scoped to this family, and returns the document's FULL pending set
// (both families) so the client always renders a unified picture.
func (h *Handler) runPass(w http.ResponseWriter, r *http.Request, limiter *llm.RateLimiter, run pass, scope pendingScope) {
docID := chi.URLParam(r, "id")
var contentText, tone string
err := h.DB.QueryRow(
`SELECT content_text, tone FROM documents WHERE id = ? AND user_id = ?`,
docID, db.LocalUserID,
).Scan(&contentText, &tone)
if errors.Is(err, sql.ErrNoRows) {
errorJSON(w, http.StatusNotFound, "document not found")
return
}
if err != nil {
serverError(w, err)
return
}
// Nothing to analyze on an empty document — skip the LLM round-trip.
if strings.TrimSpace(contentText) == "" {
writeJSON(w, http.StatusOK, []db.Suggestion{})
return
}
ok, _, slotAt := limiter.Allow(docID)
if !ok {
// Throttled: return the existing pending set unchanged rather than an
// error, so the frontend keeps showing current suggestions.
existing, err := h.fetchPending(docID)
if err != nil {
serverError(w, err)
return
}
writeJSON(w, http.StatusOK, existing)
return
}
raw, err := run(r.Context(), h.Client, contentText, tone)
if err != nil {
// Allow ran before the model call, so a failed pass would otherwise hold
// the per-document slot for the full interval — stranding the frontend's
// auto-retry on the throttle path. Release it so a retry can re-run.
limiter.Release(docID, slotAt)
errorJSON(w, http.StatusBadGateway, "llm pass failed: "+err.Error())
return
}
if err := h.replacePending(docID, contentText, raw, scope); err != nil {
serverError(w, err)
return
}
// Return the unified pending set (grammar + voice), not just this batch, so
// a grammar check never drops the voice highlights from the client and the
// throttle path above stays consistent with the success path.
out, err := h.fetchPending(docID)
if err != nil {
serverError(w, err)
return
}
writeJSON(w, http.StatusOK, out)
}
// pendingScope describes how one LLM pass touches the shared suggestions table:
// which family of pending rows it replaces, and the type to stamp on the rows it
// inserts. The grammar checkpoint and voice pass each own a disjoint family, so
// running one never disturbs the other's pending flags.
type pendingScope struct {
deleteWhere string // extra WHERE clause scoping the DELETE to this family
forceType string // if set, every inserted row gets this type; else normalizeType
}
var (
// grammarScope owns the grammar/phrasing/idiom/clarity flags (everything but voice).
grammarScope = pendingScope{deleteWhere: "type != 'voice'", forceType: ""}
// voiceScope owns the voice flags only.
voiceScope = pendingScope{deleteWhere: "type = 'voice'", forceType: db.SuggestionTypeVoice}
)
// replacePending swaps a document's pending suggestions within one family for a
// fresh batch in a single transaction. Accepted/rejected suggestions and the
// other family's pending rows are left untouched.
//
// Suggestions the user already accepted or dismissed are suppressed from the
// fresh batch: the model has no memory between passes, so without this it would
// re-propose the identical edit on the very next checkpoint — re-nagging a
// sentence the user already resolved. This matters most when an accept silently
// no-ops (the `original` text couldn't be anchored in the editor, so the doc
// never changed): the sentence is unaltered, yet the user shouldn't see the same
// card again.
func (h *Handler) replacePending(docID, contentText string, raw []llm.RawSuggestion, scope pendingScope) error {
tx, err := h.DB.Begin()
if err != nil {
return err
}
defer tx.Rollback()
if _, err := tx.Exec(
`DELETE FROM suggestions WHERE doc_id = ? AND status = ? AND `+scope.deleteWhere,
docID, db.SuggestionStatusPending,
); err != nil {
return err
}
actioned, err := actionedKeys(tx, docID)
if err != nil {
return err
}
for _, s := range raw {
if _, seen := actioned[suggestionKey(s.Original, s.Replacement)]; seen {
continue
}
typ := scope.forceType
if typ == "" {
typ = normalizeType(s.Type)
}
from, to := locate(contentText, s.Original)
if _, err := tx.Exec(
`INSERT INTO suggestions (doc_id, from_pos, to_pos, original, replacement, explanation, type)
VALUES (?, ?, ?, ?, ?, ?, ?)`,
docID, from, to, s.Original, s.Replacement, s.Explanation, typ,
); err != nil {
return err
}
}
return tx.Commit()
}
// actionedKeys returns the set of original→replacement keys the user has already
// accepted or rejected for this document, so a fresh checkpoint can skip
// re-proposing them. Keyed on the trimmed original+replacement pair, matching the
// normalization ParseCheckpoint applies, so a genuinely different edit on the same
// sentence is not suppressed.
func actionedKeys(tx *sql.Tx, docID string) (map[string]struct{}, error) {
rows, err := tx.Query(
`SELECT original, replacement FROM suggestions
WHERE doc_id = ? AND status IN (?, ?)`,
docID, db.SuggestionStatusAccepted, db.SuggestionStatusRejected,
)
if err != nil {
return nil, err
}
defer rows.Close()
keys := make(map[string]struct{})
for rows.Next() {
var original, replacement string
if err := rows.Scan(&original, &replacement); err != nil {
return nil, err
}
keys[suggestionKey(original, replacement)] = struct{}{}
}
return keys, rows.Err()
}
// suggestionKey is the dedup identity for a suggestion: its trimmed original and
// replacement text. Two suggestions with the same key are "the same edit."
func suggestionKey(original, replacement string) string {
return strings.TrimSpace(original) + "\x00" + strings.TrimSpace(replacement)
}
// listForDoc returns the document's current pending suggestions (used when the
// editor loads a document, before any new checkpoint fires).
func (h *Handler) listForDoc(w http.ResponseWriter, r *http.Request) {
out, err := h.fetchPending(chi.URLParam(r, "id"))
if err != nil {
serverError(w, err)
return
}
writeJSON(w, http.StatusOK, out)
}
func (h *Handler) fetchPending(docID string) ([]db.Suggestion, error) {
rows, err := h.DB.Query(
`SELECT id, doc_id, from_pos, to_pos, original, replacement, explanation, type, status, created_at
FROM suggestions
WHERE doc_id = ? AND status = ?
ORDER BY from_pos ASC, created_at ASC`,
docID, db.SuggestionStatusPending,
)
if err != nil {
return nil, err
}
defer rows.Close()
out := []db.Suggestion{}
for rows.Next() {
var s db.Suggestion
if err := rows.Scan(
&s.ID, &s.DocID, &s.FromPos, &s.ToPos, &s.Original, &s.Replacement,
&s.Explanation, &s.Type, &s.Status, &s.CreatedAt,
); err != nil {
return nil, err
}
out = append(out, s)
}
return out, rows.Err()
}
// accept marks a suggestion accepted (the client applies the replacement text).
func (h *Handler) accept(w http.ResponseWriter, r *http.Request) {
h.setStatus(w, r, db.SuggestionStatusAccepted)
}
// dismiss marks a suggestion rejected.
func (h *Handler) dismiss(w http.ResponseWriter, r *http.Request) {
h.setStatus(w, r, db.SuggestionStatusRejected)
}
func (h *Handler) setStatus(w http.ResponseWriter, r *http.Request, status string) {
res, err := h.DB.Exec(
`UPDATE suggestions SET status = ? WHERE id = ? AND status = ?`,
status, chi.URLParam(r, "id"), db.SuggestionStatusPending,
)
if err != nil {
serverError(w, err)
return
}
if n, _ := res.RowsAffected(); n == 0 {
errorJSON(w, http.StatusNotFound, "pending suggestion not found")
return
}
w.WriteHeader(http.StatusNoContent)
}
// locate finds the plaintext offsets of original within contentText. Returns
// (-1, -1) when not found; the frontend anchors by string regardless, so a miss
// here is non-fatal.
func locate(contentText, original string) (int, int) {
idx := strings.Index(contentText, original)
if idx < 0 {
return -1, -1
}
return idx, idx + len(original)
}
// normalizeType maps the model's type string onto a valid suggestion type,
// defaulting unknown values to grammar so a stray label never trips the CHECK.
func normalizeType(t string) string {
switch strings.ToLower(strings.TrimSpace(t)) {
case db.SuggestionTypeGrammar, db.SuggestionTypePhrasing, db.SuggestionTypeIdiom, db.SuggestionTypeClarity:
return strings.ToLower(strings.TrimSpace(t))
default:
return db.SuggestionTypeGrammar
}
}
// --- response helpers -------------------------------------------------------
func writeJSON(w http.ResponseWriter, status int, v any) {
w.Header().Set("Content-Type", "application/json")
w.WriteHeader(status)
_ = json.NewEncoder(w).Encode(v)
}
func errorJSON(w http.ResponseWriter, status int, msg string) {
writeJSON(w, status, map[string]string{"error": msg})
}
func serverError(w http.ResponseWriter, err error) {
errorJSON(w, http.StatusInternalServerError, err.Error())
}

View File

@@ -0,0 +1,259 @@
package suggestions
import (
"bytes"
"context"
"encoding/json"
"net/http"
"net/http/httptest"
"path/filepath"
"testing"
"github.com/go-chi/chi/v5"
"gitea.parodia.dev/drwily/petal/internal/db"
"gitea.parodia.dev/drwily/petal/internal/llm"
)
// stubClient returns a canned checkpoint response; it never touches the network.
type stubClient struct {
response string
calls int
}
func (s *stubClient) Complete(_ context.Context, _ llm.CompletionRequest) (string, error) {
s.calls++
return s.response, nil
}
func (s *stubClient) Stream(_ context.Context, _ llm.CompletionRequest) (<-chan string, error) {
ch := make(chan string)
close(ch)
return ch, nil
}
// newTestServer wires a real DB, a seeded document, and the suggestion routes
// (both the doc-scoped and the per-suggestion mounts) onto one router.
func newTestServer(t *testing.T, client llm.LLMClient) (http.Handler, string, *Handler) {
t.Helper()
database, err := db.Open(filepath.Join(t.TempDir(), "test.db"))
if err != nil {
t.Fatalf("open db: %v", err)
}
t.Cleanup(func() { database.Close() })
// Seed a document with some content to check.
var docID string
err = database.QueryRow(
`INSERT INTO documents (user_id, content_text) VALUES (?, ?) RETURNING id`,
db.LocalUserID, "I has two apple.",
).Scan(&docID)
if err != nil {
t.Fatalf("seed doc: %v", err)
}
h := New(database, client)
r := chi.NewRouter()
r.Route("/docs", func(dr chi.Router) { h.RegisterDocRoutes(dr) })
r.Mount("/suggestions", h.Routes())
return r, docID, h
}
func do(t *testing.T, srv http.Handler, method, path, body string) *httptest.ResponseRecorder {
t.Helper()
var r *http.Request
if body != "" {
r = httptest.NewRequest(method, path, bytes.NewBufferString(body))
} else {
r = httptest.NewRequest(method, path, nil)
}
rec := httptest.NewRecorder()
srv.ServeHTTP(rec, r)
return rec
}
func TestCheckpointFlow(t *testing.T) {
client := &stubClient{response: `{"suggestions":[
{"original":"I has","replacement":"I have","explanation":"subject-verb agreement","type":"grammar"},
{"original":"two apple","replacement":"two apples","explanation":"plural noun","type":"grammar"}
]}`}
srv, docID, _ := newTestServer(t, client)
// Run a checkpoint → two pending suggestions, with positions located.
rec := do(t, srv, http.MethodPost, "/docs/"+docID+"/check", "")
if rec.Code != http.StatusOK {
t.Fatalf("check: code=%d body=%s", rec.Code, rec.Body)
}
var got []db.Suggestion
if err := json.Unmarshal(rec.Body.Bytes(), &got); err != nil {
t.Fatalf("decode: %v", err)
}
if len(got) != 2 {
t.Fatalf("want 2 suggestions, got %d: %+v", len(got), got)
}
if got[0].Original != "I has" || got[0].FromPos != 0 {
t.Fatalf("first suggestion anchoring wrong: %+v", got[0])
}
if got[0].Status != db.SuggestionStatusPending {
t.Fatalf("new suggestion should be pending: %+v", got[0])
}
// Listing returns the same pending set.
rec = do(t, srv, http.MethodGet, "/docs/"+docID+"/suggestions", "")
var listed []db.Suggestion
_ = json.Unmarshal(rec.Body.Bytes(), &listed)
if len(listed) != 2 {
t.Fatalf("list pending: want 2, got %d", len(listed))
}
// Accept the first, dismiss the second.
if rec = do(t, srv, http.MethodPost, "/suggestions/"+got[0].ID+"/accept", ""); rec.Code != http.StatusNoContent {
t.Fatalf("accept: code=%d body=%s", rec.Code, rec.Body)
}
if rec = do(t, srv, http.MethodPost, "/suggestions/"+got[1].ID+"/dismiss", ""); rec.Code != http.StatusNoContent {
t.Fatalf("dismiss: code=%d body=%s", rec.Code, rec.Body)
}
// Pending list is now empty (accepted/dismissed are excluded).
rec = do(t, srv, http.MethodGet, "/docs/"+docID+"/suggestions", "")
_ = json.Unmarshal(rec.Body.Bytes(), &listed)
if len(listed) != 0 {
t.Fatalf("pending after resolve: want 0, got %d", len(listed))
}
// Re-accepting an already-resolved suggestion 404s.
if rec = do(t, srv, http.MethodPost, "/suggestions/"+got[0].ID+"/accept", ""); rec.Code != http.StatusNotFound {
t.Fatalf("re-accept: want 404, got %d", rec.Code)
}
}
// TestResolvedSuggestionsNotReproposed proves a checkpoint won't re-nag a
// sentence the user already accepted or dismissed: the model returns the same
// raw batch on the next pass (it has no memory), but the resolved edits are
// suppressed. This is the "accept it, then it nags again moments later" bug.
func TestResolvedSuggestionsNotReproposed(t *testing.T) {
client := &stubClient{response: `{"suggestions":[
{"original":"I has","replacement":"I have","explanation":"subject-verb agreement","type":"grammar"},
{"original":"two apple","replacement":"two apples","explanation":"plural noun","type":"grammar"}
]}`}
srv, docID, h := newTestServer(t, client)
// Zero the checkpoint floor so the second pass runs instead of being throttled.
h.Limit = llm.NewRateLimiter(0)
rec := do(t, srv, http.MethodPost, "/docs/"+docID+"/check", "")
var got []db.Suggestion
_ = json.Unmarshal(rec.Body.Bytes(), &got)
if len(got) != 2 {
t.Fatalf("first pass: want 2, got %d", len(got))
}
// Accept one, dismiss the other.
do(t, srv, http.MethodPost, "/suggestions/"+got[0].ID+"/accept", "")
do(t, srv, http.MethodPost, "/suggestions/"+got[1].ID+"/dismiss", "")
// Second checkpoint returns the identical raw batch — both must be suppressed.
rec = do(t, srv, http.MethodPost, "/docs/"+docID+"/check", "")
if rec.Code != http.StatusOK {
t.Fatalf("second check: code=%d body=%s", rec.Code, rec.Body)
}
var again []db.Suggestion
if err := json.Unmarshal(rec.Body.Bytes(), &again); err != nil {
t.Fatalf("decode: %v", err)
}
if len(again) != 0 {
t.Fatalf("resolved suggestions should not be re-proposed, got %d: %+v", len(again), again)
}
}
// TestVoicePassCoexists proves the voice pass and the grammar checkpoint own
// disjoint pending families: running one never wipes the other's flags, and
// each endpoint returns the unified pending set.
func TestVoicePassCoexists(t *testing.T) {
// One client serves both passes; the prompt distinguishes them but the stub
// just echoes whatever we set before each call.
client := &switchClient{}
srv, docID, h := newTestServer(t, client)
// Zero the voice floor so the test can re-run the pass without waiting out
// the real 20s interval; the family-scoping logic is what's under test here.
h.VoiceLimit = llm.NewRateLimiter(0)
// Grammar checkpoint first → one grammar flag.
client.response = `{"suggestions":[{"original":"I has","replacement":"I have","explanation":"agreement","type":"grammar"}]}`
rec := do(t, srv, http.MethodPost, "/docs/"+docID+"/check", "")
if rec.Code != http.StatusOK {
t.Fatalf("check: code=%d body=%s", rec.Code, rec.Body)
}
// Voice pass next → one voice flag (null replacement). It must NOT remove the
// grammar flag; the response is the unified set of both.
client.response = `{"suggestions":[{"original":"two apple","replacement":null,"explanation":"sounds more formal","type":"voice"}]}`
rec = do(t, srv, http.MethodPost, "/docs/"+docID+"/voice", "")
if rec.Code != http.StatusOK {
t.Fatalf("voice: code=%d body=%s", rec.Code, rec.Body)
}
var got []db.Suggestion
if err := json.Unmarshal(rec.Body.Bytes(), &got); err != nil {
t.Fatalf("decode: %v", err)
}
if len(got) != 2 {
t.Fatalf("voice response should carry both families, got %d: %+v", len(got), got)
}
var grammar, voice *db.Suggestion
for i := range got {
switch got[i].Type {
case db.SuggestionTypeGrammar:
grammar = &got[i]
case db.SuggestionTypeVoice:
voice = &got[i]
}
}
if grammar == nil || voice == nil {
t.Fatalf("want one grammar + one voice flag, got %+v", got)
}
if voice.Replacement != "" {
t.Fatalf("voice flag should have empty replacement, got %q", voice.Replacement)
}
// A fresh voice pass that finds nothing replaces only the voice flag; the
// grammar one survives.
client.response = `{"suggestions":[]}`
rec = do(t, srv, http.MethodPost, "/docs/"+docID+"/voice", "")
if rec.Code != http.StatusOK {
t.Fatalf("second voice: code=%d body=%s", rec.Code, rec.Body)
}
_ = json.Unmarshal(rec.Body.Bytes(), &got)
if len(got) != 1 || got[0].Type != db.SuggestionTypeGrammar {
t.Fatalf("after clearing voice, only the grammar flag should remain, got %+v", got)
}
}
// switchClient returns a response that can be swapped between calls.
type switchClient struct {
response string
calls int
}
func (s *switchClient) Complete(_ context.Context, _ llm.CompletionRequest) (string, error) {
s.calls++
return s.response, nil
}
func (s *switchClient) Stream(_ context.Context, _ llm.CompletionRequest) (<-chan string, error) {
ch := make(chan string)
close(ch)
return ch, nil
}
func TestCheckpointRateLimit(t *testing.T) {
client := &stubClient{response: `{"suggestions":[{"original":"I has","replacement":"I have","explanation":"x","type":"grammar"}]}`}
srv, docID, _ := newTestServer(t, client)
// First check runs the model.
do(t, srv, http.MethodPost, "/docs/"+docID+"/check", "")
// Immediate second check is throttled — returns the existing set without
// hitting the model again.
do(t, srv, http.MethodPost, "/docs/"+docID+"/check", "")
if client.calls != 1 {
t.Fatalf("rate limit should suppress the second model call, got %d calls", client.calls)
}
}

View File

@@ -0,0 +1,76 @@
package suggestions
import (
"database/sql"
"encoding/json"
"errors"
"net/http"
"strings"
"github.com/go-chi/chi/v5"
"gitea.parodia.dev/drwily/petal/internal/db"
"gitea.parodia.dev/drwily/petal/internal/llm"
)
// rewriteRequest is the body the selection bubble posts: the selected passage
// and the target style ("natural", "academic", …). The text is the client's
// live selection — unlike a checkpoint, there is nothing to anchor server-side,
// so the rewrite is stateless and never persisted (the editor applies it
// directly, and the version history captures the resulting document change).
type rewriteRequest struct {
Text string `json:"text"`
Style string `json:"style"`
}
type rewriteResponse struct {
Rewrite string `json:"rewrite"`
}
// rewrite runs a one-shot tone-rewrite over a selected passage and returns the
// rewritten text for the editor to preview. The document id scopes the request
// to the owner (and reserves room to feed document context to the model later),
// even though the passage itself rides in the body.
func (h *Handler) rewrite(w http.ResponseWriter, r *http.Request) {
docID := chi.URLParam(r, "id")
var body rewriteRequest
if err := json.NewDecoder(r.Body).Decode(&body); err != nil {
errorJSON(w, http.StatusBadRequest, "invalid request body")
return
}
text := strings.TrimSpace(body.Text)
if text == "" {
errorJSON(w, http.StatusBadRequest, "no text to rewrite")
return
}
if len([]rune(text)) > llm.RewriteMaxRunes {
errorJSON(w, http.StatusBadRequest, "selection too long to rewrite")
return
}
// Scope to the owner so a stray id can't drive rewrites against another
// user's document (and 404 cleanly when it doesn't exist).
var exists int
err := h.DB.QueryRow(
`SELECT 1 FROM documents WHERE id = ? AND user_id = ?`,
docID, db.LocalUserID,
).Scan(&exists)
if errors.Is(err, sql.ErrNoRows) {
errorJSON(w, http.StatusNotFound, "document not found")
return
}
if err != nil {
serverError(w, err)
return
}
out, err := llm.RunRewrite(r.Context(), h.Client, text, body.Style)
if err != nil {
errorJSON(w, http.StatusBadGateway, "rewrite failed: "+err.Error())
return
}
writeJSON(w, http.StatusOK, rewriteResponse{Rewrite: out})
}

View File

@@ -0,0 +1,79 @@
package suggestions
import (
"context"
"encoding/json"
"net/http"
"strings"
"testing"
"gitea.parodia.dev/drwily/petal/internal/llm"
)
// recordingClient captures the last Complete request so the rewrite test can
// assert the styled system prompt and the selected passage reached the model.
type recordingClient struct {
response string
last llm.CompletionRequest
}
func (c *recordingClient) Complete(_ context.Context, req llm.CompletionRequest) (string, error) {
c.last = req
return c.response, nil
}
func (c *recordingClient) Stream(_ context.Context, _ llm.CompletionRequest) (<-chan string, error) {
ch := make(chan string)
close(ch)
return ch, nil
}
func TestRewrite(t *testing.T) {
// The model wraps its answer in quotes; cleanRewrite should strip them.
client := &recordingClient{response: `"I have two apples."`}
srv, docID, _ := newTestServer(t, client)
rec := do(t, srv, http.MethodPost, "/docs/"+docID+"/rewrite",
`{"text":"I has two apple.","style":"academic"}`)
if rec.Code != http.StatusOK {
t.Fatalf("rewrite: code=%d body=%s", rec.Code, rec.Body)
}
var resp rewriteResponse
if err := json.Unmarshal(rec.Body.Bytes(), &resp); err != nil {
t.Fatalf("decode: %v", err)
}
if resp.Rewrite != "I have two apples." {
t.Fatalf("rewrite = %q, want the de-quoted text", resp.Rewrite)
}
// The passage rode in as the user turn, and the style steered the system turn.
msgs := client.last.Messages
if len(msgs) != 2 || msgs[0].Role != "system" || msgs[1].Role != "user" {
t.Fatalf("unexpected message shape: %+v", msgs)
}
if msgs[1].Content != "I has two apple." {
t.Fatalf("passage not forwarded: %q", msgs[1].Content)
}
if !strings.Contains(msgs[0].Content, "academic") {
t.Fatalf("system prompt missing academic style guidance:\n%s", msgs[0].Content)
}
}
func TestRewriteEmptyText(t *testing.T) {
client := &recordingClient{response: "anything"}
srv, docID, _ := newTestServer(t, client)
rec := do(t, srv, http.MethodPost, "/docs/"+docID+"/rewrite", `{"text":" ","style":"natural"}`)
if rec.Code != http.StatusBadRequest {
t.Fatalf("empty text: want 400, got %d", rec.Code)
}
}
func TestRewriteUnknownDoc(t *testing.T) {
client := &recordingClient{response: "anything"}
srv, _, _ := newTestServer(t, client)
rec := do(t, srv, http.MethodPost, "/docs/does-not-exist/rewrite",
`{"text":"hello there","style":"natural"}`)
if rec.Code != http.StatusNotFound {
t.Fatalf("unknown doc: want 404, got %d", rec.Code)
}
}

View File

@@ -0,0 +1,57 @@
package suggestions
import (
"database/sql"
"errors"
"net/http"
"strings"
"github.com/go-chi/chi/v5"
"gitea.parodia.dev/drwily/petal/internal/db"
"gitea.parodia.dev/drwily/petal/internal/llm"
)
type translateResponse struct {
Translation string `json:"translation"`
}
// translate renders a suggestion's English explanation into Simplified Chinese
// for the Ask Petal bubble, so the ESL reader sees the "why" in her first
// language instead of a second copy of the same English text. The explanation is
// loaded server-side from the suggestion id (scoped to the local user) and never
// trusted from the client, mirroring chat (spec Note #10).
func (h *Handler) translate(w http.ResponseWriter, r *http.Request) {
sugID := chi.URLParam(r, "id")
var explanation string
err := h.DB.QueryRow(
`SELECT s.explanation
FROM suggestions s
JOIN documents d ON d.id = s.doc_id
WHERE s.id = ? AND d.user_id = ?`,
sugID, db.LocalUserID,
).Scan(&explanation)
if errors.Is(err, sql.ErrNoRows) {
errorJSON(w, http.StatusNotFound, "suggestion not found")
return
}
if err != nil {
serverError(w, err)
return
}
explanation = strings.TrimSpace(explanation)
if explanation == "" {
writeJSON(w, http.StatusOK, translateResponse{Translation: ""})
return
}
out, err := llm.RunTranslate(r.Context(), h.Client, explanation)
if err != nil {
errorJSON(w, http.StatusBadGateway, "translate failed: "+err.Error())
return
}
writeJSON(w, http.StatusOK, translateResponse{Translation: out})
}

264
internal/tts/handler.go Normal file
View File

@@ -0,0 +1,264 @@
// Package tts implements read-aloud: it proxies short passages to a local Piper
// HTTP server (a fast, offline neural TTS), optionally transcodes Piper's WAV to
// mp3/opus with ffmpeg, and serves the audio back to the editor. Synthesized
// clips are content-addressed on disk so tapping the same word twice is instant
// and never re-synthesizes. The feature is entirely optional: when TTS_ENDPOINT
// is unset the route isn't mounted and the frontend falls back to the browser's
// Web Speech API.
package tts
import (
"bytes"
"context"
"crypto/sha256"
"encoding/hex"
"encoding/json"
"fmt"
"io"
"net/http"
"os"
"os/exec"
"path/filepath"
"strings"
"time"
"unicode/utf8"
"github.com/go-chi/chi/v5"
"gitea.parodia.dev/drwily/petal/internal/config"
)
// maxTextBytes bounds a single synthesis request. Read-aloud is for a word or a
// sentence or two, not whole documents; this keeps one tap from pinning Piper.
const maxTextBytes = 4000
// lengthScale slows Piper slightly below natural pace — a learner following along
// with the words, mirroring the old utterance.rate = 0.95. Higher = slower.
const lengthScale = 1.1
// audioFormat describes one output encoding: the cache-file extension, the
// response Content-Type, and the ffmpeg args that turn Piper's WAV (on stdin)
// into this format (on stdout). A nil ffmpegArgs means "serve the WAV as-is".
type audioFormat struct {
ext string
contentType string
ffmpegArgs []string
}
// formats maps the configured TTS_AUDIO_FORMAT to its encoding. mp3 is the safe
// default (every browser plays it); opus is ~half the size for speech but has
// patchier Safari support; wav skips ffmpeg entirely.
var formats = map[string]audioFormat{
"wav": {ext: ".wav", contentType: "audio/wav"},
"mp3": {ext: ".mp3", contentType: "audio/mpeg",
ffmpegArgs: []string{"-f", "mp3", "-c:a", "libmp3lame", "-b:a", "64k", "-ac", "1"}},
"opus": {ext: ".opus", contentType: "audio/ogg",
ffmpegArgs: []string{"-f", "ogg", "-c:a", "libopus", "-b:a", "32k", "-ac", "1"}},
}
// route is the Piper instance and voice id serving one language. Each Piper
// HTTP server loads exactly one model, so distinct languages mean distinct
// endpoints (e.g. English on :5005, Chinese on :5006).
type route struct {
endpoint string // Piper HTTP base URL (no trailing slash)
voice string // Piper voice id (sent in the request; also part of the cache key)
}
// Handler proxies synthesis to Piper and caches the result on disk.
type Handler struct {
routes map[string]route // base language (e.g. "en", "zh") -> Piper instance
cacheDir string
format audioFormat
client *http.Client
}
// New builds a Handler from config. It returns (nil, false) when TTS_ENDPOINT is
// unset, signalling main to skip mounting the route. An unknown TTS_AUDIO_FORMAT
// falls back to mp3 rather than failing the whole server.
func New(cfg *config.Config) (*Handler, bool) {
if strings.TrimSpace(cfg.TTSEndpoint) == "" {
return nil, false
}
format, ok := formats[strings.ToLower(strings.TrimSpace(cfg.TTSFormat))]
if !ok {
format = formats["mp3"]
}
// Map by base language so en-US, en-GB, etc. all resolve to the English
// instance (the client sends BCP-47 tags like the old Web Speech path did).
// A language is only routable when both its endpoint and voice are set;
// otherwise the client falls back to Web Speech for that language.
routes := map[string]route{}
if cfg.TTSVoiceEN != "" {
routes["en"] = route{strings.TrimRight(cfg.TTSEndpoint, "/"), cfg.TTSVoiceEN}
}
if cfg.TTSEndpointZH != "" && cfg.TTSVoiceZH != "" {
routes["zh"] = route{strings.TrimRight(cfg.TTSEndpointZH, "/"), cfg.TTSVoiceZH}
}
if err := os.MkdirAll(cfg.TTSCacheDir, 0o755); err != nil {
// A missing cache dir isn't fatal — synthesis still works, it just won't
// cache. Disable the feature only on endpoint absence, not this.
fmt.Fprintf(os.Stderr, "tts: cache dir %q: %v\n", cfg.TTSCacheDir, err)
}
return &Handler{
routes: routes,
cacheDir: cfg.TTSCacheDir,
format: format,
client: &http.Client{Timeout: cfg.TTSTimeout},
}, true
}
// Routes mounts the synthesis endpoint. Mount under "/tts" so the full path is
// POST /api/tts.
func (h *Handler) Routes() chi.Router {
r := chi.NewRouter()
r.Post("/", h.synth)
return r
}
// synthRequest is the body the editor posts: a passage and the BCP-47 language
// tag it's written in (e.g. "en-US", "zh-CN").
type synthRequest struct {
Text string `json:"text"`
Lang string `json:"lang"`
}
// synth resolves a voice for the requested language, returns cached audio when
// present, and otherwise asks Piper to synthesize, transcodes if configured,
// caches, and serves. An unconfigured language yields 404 so the client can fall
// back to Web Speech without treating it as an error.
func (h *Handler) synth(w http.ResponseWriter, r *http.Request) {
var req synthRequest
// Cap the raw body generously above maxTextBytes to leave room for JSON
// framing and the lang field; the text itself is truncated after decoding.
if err := json.NewDecoder(io.LimitReader(r.Body, maxTextBytes+1024)).Decode(&req); err != nil {
http.Error(w, "invalid request body", http.StatusBadRequest)
return
}
text := strings.TrimSpace(req.Text)
if text == "" {
http.Error(w, "empty text", http.StatusBadRequest)
return
}
if len(text) > maxTextBytes {
// Trim back to the last valid rune boundary so we never hand Piper a
// half-encoded multibyte character (common with Chinese, 3 bytes/char).
text = text[:maxTextBytes]
for len(text) > 0 && !utf8.ValidString(text) {
text = text[:len(text)-1]
}
}
rt, ok := h.routes[baseLang(req.Lang)]
if !ok {
// No voice for this language — let the client fall back to Web Speech.
http.Error(w, "no voice for language", http.StatusNotFound)
return
}
// Content-addressed: identical (voice, text) → identical clip. The format
// extension keeps encodings from colliding in the same dir.
sum := sha256.Sum256([]byte(rt.voice + "\n" + text))
name := hex.EncodeToString(sum[:])[:32] + h.format.ext
path := filepath.Join(h.cacheDir, name)
if _, err := os.Stat(path); err == nil {
h.serve(w, r, path)
return
}
audio, err := h.synthesize(r.Context(), rt, text)
if err != nil {
http.Error(w, "synthesis failed", http.StatusBadGateway)
fmt.Fprintf(os.Stderr, "tts: synthesize: %v\n", err)
return
}
// Best-effort cache write via a temp file + rename so a concurrent reader
// never sees a half-written clip. A failed write just means no caching.
if h.cacheDir != "" {
tmp := path + ".tmp"
if err := os.WriteFile(tmp, audio, 0o644); err == nil {
_ = os.Rename(tmp, path)
}
}
w.Header().Set("Content-Type", h.format.contentType)
w.Header().Set("Cache-Control", "public, max-age=31536000, immutable")
_, _ = w.Write(audio)
}
// serve streams a cached clip with a long-lived immutable cache header (the URL
// is content-addressed, so the bytes never change for a given request).
func (h *Handler) serve(w http.ResponseWriter, r *http.Request, path string) {
w.Header().Set("Content-Type", h.format.contentType)
w.Header().Set("Cache-Control", "public, max-age=31536000, immutable")
http.ServeFile(w, r, path)
}
// synthesize POSTs to the route's Piper instance, then transcodes the returned
// WAV when the configured format calls for it.
func (h *Handler) synthesize(ctx context.Context, rt route, text string) ([]byte, error) {
body, _ := json.Marshal(map[string]any{
"text": text,
"voice": rt.voice,
"length_scale": lengthScale,
})
httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, rt.endpoint+"/", bytes.NewReader(body))
if err != nil {
return nil, err
}
httpReq.Header.Set("Content-Type", "application/json")
resp, err := h.client.Do(httpReq)
if err != nil {
return nil, err
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
snippet, _ := io.ReadAll(io.LimitReader(resp.Body, 256))
return nil, fmt.Errorf("piper %d: %s", resp.StatusCode, strings.TrimSpace(string(snippet)))
}
wav, err := io.ReadAll(resp.Body)
if err != nil {
return nil, err
}
if h.format.ffmpegArgs == nil {
return wav, nil
}
return transcode(ctx, wav, h.format.ffmpegArgs)
}
// transcode pipes WAV bytes through ffmpeg (stdin → stdout) into the target
// encoding. ffmpeg is assumed on PATH; an error here surfaces as a 502.
func transcode(ctx context.Context, wav []byte, args []string) ([]byte, error) {
// Guard ffmpeg against a hang independent of the HTTP client timeout.
ctx, cancel := context.WithTimeout(ctx, 30*time.Second)
defer cancel()
full := append([]string{"-hide_banner", "-loglevel", "error", "-i", "pipe:0"}, args...)
full = append(full, "pipe:1")
cmd := exec.CommandContext(ctx, "ffmpeg", full...)
cmd.Stdin = bytes.NewReader(wav)
var out, errBuf bytes.Buffer
cmd.Stdout = &out
cmd.Stderr = &errBuf
if err := cmd.Run(); err != nil {
return nil, fmt.Errorf("ffmpeg: %v: %s", err, strings.TrimSpace(errBuf.String()))
}
return out.Bytes(), nil
}
// baseLang reduces a BCP-47 tag to its primary subtag, lowercased: "en-US" → "en",
// "zh-CN" → "zh", "" → "". Mirrors the client's pickVoice base-language matching.
func baseLang(tag string) string {
tag = strings.ToLower(strings.TrimSpace(tag))
if i := strings.IndexAny(tag, "-_"); i >= 0 {
return tag[:i]
}
return tag
}

View File

@@ -0,0 +1,170 @@
package tts
import (
"bytes"
"encoding/json"
"net/http"
"net/http/httptest"
"strings"
"sync/atomic"
"testing"
)
// newStubPiper returns a fake Piper server that echoes a fixed WAV body and
// records how many times it was called and the last request payload.
func newStubPiper(t *testing.T, body []byte) (*httptest.Server, *int32, *synthEcho) {
t.Helper()
var calls int32
last := &synthEcho{}
srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
atomic.AddInt32(&calls, 1)
var req map[string]any
_ = json.NewDecoder(r.Body).Decode(&req)
last.voice, _ = req["voice"].(string)
last.text, _ = req["text"].(string)
w.Header().Set("Content-Type", "audio/wav")
_, _ = w.Write(body)
}))
t.Cleanup(srv.Close)
return srv, &calls, last
}
type synthEcho struct{ voice, text string }
// newHandler builds a wav-format handler (no ffmpeg) pointed at a stub server.
func newHandler(t *testing.T, endpoint string) *Handler {
t.Helper()
return &Handler{
routes: map[string]route{"en": {strings.TrimRight(endpoint, "/"), "en_US-amy-medium"}},
cacheDir: t.TempDir(),
format: formats["wav"],
client: http.DefaultClient,
}
}
func post(t *testing.T, h *Handler, text, lang string) *httptest.ResponseRecorder {
t.Helper()
b, _ := json.Marshal(synthRequest{Text: text, Lang: lang})
req := httptest.NewRequest(http.MethodPost, "/", bytes.NewReader(b))
rr := httptest.NewRecorder()
h.synth(rr, req)
return rr
}
func TestSynthSuccessAndVoiceSelection(t *testing.T) {
wav := []byte("RIFF....fake-wav")
srv, calls, last := newStubPiper(t, wav)
h := newHandler(t, srv.URL)
rr := post(t, h, "hello there", "en-US")
if rr.Code != http.StatusOK {
t.Fatalf("status = %d, want 200", rr.Code)
}
if got := rr.Body.Bytes(); !bytes.Equal(got, wav) {
t.Fatalf("body = %q, want the piper wav", got)
}
if ct := rr.Header().Get("Content-Type"); ct != "audio/wav" {
t.Fatalf("content-type = %q, want audio/wav", ct)
}
if last.voice != "en_US-amy-medium" {
t.Fatalf("piper voice = %q, want en_US-amy-medium", last.voice)
}
if *calls != 1 {
t.Fatalf("piper calls = %d, want 1", *calls)
}
}
func TestRoutesByLanguageToSeparateInstances(t *testing.T) {
enSrv, enCalls, _ := newStubPiper(t, []byte("EN-wav"))
zhSrv, zhCalls, zhLast := newStubPiper(t, []byte("ZH-wav"))
h := &Handler{
routes: map[string]route{
"en": {strings.TrimRight(enSrv.URL, "/"), "en_US-amy-medium"},
"zh": {strings.TrimRight(zhSrv.URL, "/"), "zh_CN-huayan-medium"},
},
cacheDir: t.TempDir(),
format: formats["wav"],
client: http.DefaultClient,
}
if rr := post(t, h, "你好世界", "zh-CN"); rr.Code != http.StatusOK {
t.Fatalf("zh status = %d, want 200", rr.Code)
}
if *zhCalls != 1 || *enCalls != 0 {
t.Fatalf("calls en=%d zh=%d, want en=0 zh=1 (zh routed to zh instance)", *enCalls, *zhCalls)
}
if zhLast.voice != "zh_CN-huayan-medium" {
t.Fatalf("zh voice = %q, want zh_CN-huayan-medium", zhLast.voice)
}
}
func TestUnknownLanguageReturns404(t *testing.T) {
srv, calls, _ := newStubPiper(t, []byte("x"))
h := newHandler(t, srv.URL)
rr := post(t, h, "你好", "zh-CN") // only "en" is configured
if rr.Code != http.StatusNotFound {
t.Fatalf("status = %d, want 404", rr.Code)
}
if *calls != 0 {
t.Fatalf("piper calls = %d, want 0 (should not synthesize)", *calls)
}
}
func TestCacheHitSkipsPiper(t *testing.T) {
srv, calls, _ := newStubPiper(t, []byte("RIFF....fake-wav"))
h := newHandler(t, srv.URL)
if rr := post(t, h, "same words", "en-US"); rr.Code != http.StatusOK {
t.Fatalf("first status = %d, want 200", rr.Code)
}
if rr := post(t, h, "same words", "en-US"); rr.Code != http.StatusOK {
t.Fatalf("second status = %d, want 200", rr.Code)
}
if *calls != 1 {
t.Fatalf("piper calls = %d, want 1 (second served from cache)", *calls)
}
}
func TestEmptyTextReturns400(t *testing.T) {
srv, _, _ := newStubPiper(t, []byte("x"))
h := newHandler(t, srv.URL)
if rr := post(t, h, " ", "en-US"); rr.Code != http.StatusBadRequest {
t.Fatalf("status = %d, want 400", rr.Code)
}
}
func TestTextIsCapped(t *testing.T) {
srv, _, last := newStubPiper(t, []byte("x"))
h := newHandler(t, srv.URL)
long := strings.Repeat("a", maxTextBytes+500)
if rr := post(t, h, long, "en-US"); rr.Code != http.StatusOK {
t.Fatalf("status = %d, want 200", rr.Code)
}
if len(last.text) != maxTextBytes {
t.Fatalf("piper received %d chars, want capped to %d", len(last.text), maxTextBytes)
}
}
func TestBaseLang(t *testing.T) {
cases := map[string]string{"en-US": "en", "EN_gb": "en", "zh-CN": "zh", "en": "en", "": ""}
for in, want := range cases {
if got := baseLang(in); got != want {
t.Errorf("baseLang(%q) = %q, want %q", in, got, want)
}
}
}
// ensure the stub's body is fully consumable (guards against the LimitReader cap
// accidentally truncating a normal request body in synth()).
func TestRequestBodyNotTruncated(t *testing.T) {
srv, _, last := newStubPiper(t, []byte("x"))
h := newHandler(t, srv.URL)
text := strings.Repeat("word ", 200) // ~1000 bytes, under the cap
post(t, h, text, "en-US")
if last.text != strings.TrimSpace(text) {
t.Fatalf("piper text length = %d, want %d", len(last.text), len(strings.TrimSpace(text)))
}
}

View File

@@ -1,778 +0,0 @@
# Petal — AI Writing Assistant
## Project Specification for Claude Code
---
## Overview
Petal is a self-hosted, privacy-first writing editor for an ESL user. It replaces Grammarly with a warm, bubbly web app that combines Tiptap rich text editing, auto-save cloud storage, and periodic AI-powered grammar/ESL suggestions backed by a local vLLM inference endpoint.
Single-user initially (wife's Authentik account). Deployed to `write.parodia.dev`.
---
## Tech Stack
| Layer | Choice | Why |
|---|---|---|
| Frontend | React + Vite | Tiptap is React-native; best extension ecosystem |
| Editor | Tiptap v2 | ProseMirror with sane API; supports custom marks/decorations |
| Styling | Tailwind v4 | Utility-first; pairs well with custom design tokens |
| Backend | Go + chi | Consistent with rest of stack (PGX Comics, Veola) |
| Database | SQLite (modernc — pure Go, no cgo) | Simple, single-binary friendly |
| Spell check | nspell (JS, browser-side) | Zero latency, no backend call, loads hunspell dictionaries |
| AI suggestions | vLLM HTTP endpoint | Already running; configurable model + base URL |
| Auth | Authentik OIDC | Already running on parodia.dev |
| Deployment | Docker, Traefik | Consistent with existing infra |
---
## Design System
**Aesthetic:** soft, warm, bubbly. The UI should feel like a cozy stationery app, not a productivity tool.
### Color Palette
```
--color-bg: #FDF6F0 /* warm cream canvas */
--color-surface: #FFFFFF /* card/panel surfaces */
--color-surface-alt: #FFF0F5 /* rose-tinted alt surface */
--color-border: #F0E0EB /* soft pink-grey border */
--color-text: #3D2E39 /* warm dark plum, not harsh black */
--color-text-muted: #9B8CA3 /* muted lavender-grey */
--color-accent: #E8A0BF /* soft rose — primary interactive */
--color-accent-hover: #D98AAF /* slightly deeper on hover */
--color-mint: #A8D8C8 /* suggestion type: grammar */
--color-peach: #F4B8A0 /* suggestion type: phrasing */
--color-lavender: #C5B4E8 /* suggestion type: idiom */
--color-sky: #A8CCE8 /* suggestion type: clarity */
--color-honey: #CE9B4F /* suggestion type: voice — deepened amber for underline contrast on cream */
--color-success: #8FCFA8 /* saved, accepted */
--color-shadow: rgba(180, 130, 160, 0.12) /* warm-tinted shadow */
```
### Typography
- **UI / Headings:** Nunito (Google Fonts) — rounded, bubbly, friendly
- **Editor body:** Lora (Google Fonts) — warm serif, reads beautifully at paragraph length
- **Monospace / data:** JetBrains Mono (used sparingly for word counts etc.)
### Shape Language
- Border radius: `16px` on cards, `24px` on modals, `999px` on buttons/pills, `12px` on input fields
- Shadows: `0 4px 20px var(--color-shadow)` — soft, warm, lifted
- Transitions: `200ms ease` across all interactive elements
### Signature Element
Suggestion decorations animate in with a gentle fade + slight upward float (translateY 4px → 0). The acceptance animation plays a tiny confetti burst (CSS only, 34 colored dots). The pulsing LLM checkpoint indicator is a soft rose dot that breathes (opacity 0.4 → 1 → 0.4 in 2s).
---
## Directory Structure
```
petal/
├── cmd/
│ └── server/
│ └── main.go # Entry point; embeds /web/dist
├── internal/
│ ├── config/
│ │ └── config.go # Env var loading
│ ├── db/
│ │ ├── db.go # SQLite init + migrations
│ │ └── models.go # Document, Suggestion, User types
│ ├── auth/
│ │ ├── oidc.go # Authentik OIDC flow
│ │ └── middleware.go # Session auth middleware
│ ├── docs/
│ │ └── handlers.go # Document CRUD handlers
│ ├── plagiarism/
│ │ ├── copyleaks.go # Copyleaks API client
│ │ └── voice.go # Local LLM voice consistency check
│ └── llm/
│ ├── client.go # LLMClient interface + factory function
│ ├── vllm.go # vLLM concrete implementation (OpenAI-compat)
│ ├── ollama.go # Ollama concrete implementation (native API)
│ ├── checkpoint.go # Checkpoint trigger + debounce logic
│ └── prompts.go # System prompts
├── web/
│ ├── src/
│ │ ├── components/
│ │ │ ├── Editor/
│ │ │ │ ├── EditorCore.tsx # Tiptap instance + config
│ │ │ │ ├── SuggestionMark.tsx # Custom Tiptap mark extension
│ │ │ │ ├── SuggestionCard.tsx # Hover card (suggestion + explanation)
│ │ │ │ └── CheckpointIndicator.tsx
│ │ │ ├── DocList/
│ │ │ │ ├── DocList.tsx # Document browser sidebar
│ │ │ │ └── DocListItem.tsx
│ │ │ ├── Toolbar/
│ │ │ │ └── Toolbar.tsx # Formatting toolbar
│ │ │ └── StatusBar/
│ │ │ └── StatusBar.tsx # Word count, save status, checkpoint dot
│ │ ├── hooks/
│ │ │ ├── useAutoSave.ts # Debounced save (1.5s)
│ │ │ └── useCheckpoint.ts # LLM checkpoint trigger (4s pause)
│ │ ├── api/
│ │ │ └── client.ts # Fetch wrappers for all API routes
│ │ ├── App.tsx
│ │ └── main.tsx
│ ├── index.html
│ ├── package.json
│ ├── vite.config.ts
│ └── tailwind.config.ts
├── Dockerfile
├── docker-compose.yml
├── .env.example
└── README.md
```
---
## Database Schema
```sql
CREATE TABLE users (
id TEXT PRIMARY KEY, -- Authentik subject claim
email TEXT NOT NULL,
display_name TEXT,
created_at DATETIME DEFAULT CURRENT_TIMESTAMP
);
CREATE TABLE documents (
id TEXT PRIMARY KEY DEFAULT (lower(hex(randomblob(16)))),
user_id TEXT NOT NULL REFERENCES users(id),
title TEXT NOT NULL DEFAULT 'Untitled',
content TEXT NOT NULL DEFAULT '{}', -- Tiptap JSON
content_text TEXT NOT NULL DEFAULT '', -- Plain text for LLM
word_count INTEGER NOT NULL DEFAULT 0,
created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
updated_at DATETIME DEFAULT CURRENT_TIMESTAMP
);
CREATE TABLE suggestions (
id TEXT PRIMARY KEY DEFAULT (lower(hex(randomblob(16)))),
doc_id TEXT NOT NULL REFERENCES documents(id) ON DELETE CASCADE,
from_pos INTEGER NOT NULL,
to_pos INTEGER NOT NULL,
original TEXT NOT NULL,
replacement TEXT NOT NULL,
explanation TEXT NOT NULL,
type TEXT NOT NULL CHECK(type IN ('grammar','phrasing','idiom','clarity','voice')),
status TEXT NOT NULL DEFAULT 'pending' CHECK(status IN ('pending','accepted','rejected')),
created_at DATETIME DEFAULT CURRENT_TIMESTAMP
);
CREATE TABLE plagiarism_reports (
id TEXT PRIMARY KEY DEFAULT (lower(hex(randomblob(16)))),
doc_id TEXT NOT NULL REFERENCES documents(id) ON DELETE CASCADE,
backend TEXT NOT NULL DEFAULT 'copyleaks',
similarity_pct REAL, -- overall similarity score 0100
status TEXT NOT NULL DEFAULT 'pending'
CHECK(status IN ('pending','complete','error')),
result_json TEXT, -- full Copyleaks response, stored raw
created_at DATETIME DEFAULT CURRENT_TIMESTAMP
);
CREATE INDEX idx_plagiarism_doc_id ON plagiarism_reports(doc_id);
CREATE INDEX idx_suggestions_doc_id ON suggestions(doc_id);
```
---
## API Routes
All routes under `/api/`. Auth middleware validates session cookie on all except `/api/auth/*`.
```
GET /api/me → current user info
POST /api/auth/login → redirect to Authentik
GET /api/auth/callback → OIDC callback, set session cookie
POST /api/auth/logout → clear session
GET /api/docs → list user's documents (id, title, word_count, updated_at)
POST /api/docs → create new document → returns full document
GET /api/docs/:id → get document + pending suggestions
PUT /api/docs/:id → update document content (auto-save endpoint)
DELETE /api/docs/:id → delete document
POST /api/docs/:id/check → run grammar checkpoint (returns new suggestions)
POST /api/docs/:id/voice → run voice-consistency pass (returns voice suggestions)
POST /api/docs/:id/plagiarism → trigger Copyleaks check (returns report id)
GET /api/docs/:id/plagiarism/latest → get latest report for document
PUT /api/suggestions/:id → update suggestion status (accepted/rejected)
DELETE /api/docs/:id/suggestions → clear all suggestions for a doc
POST /api/suggestions/:id/chat → Ask Petal conversational follow-up (SSE stream)
```
---
## Plagiarism Detection
### Architecture: Two Tiers
**Tier 1 — Voice Consistency Check (local, LLM, separate pass)**
The LLM reviews the document for passages that feel tonally inconsistent with the rest of her writing — formulaic phrasing, suspiciously polished sentences, register shifts. Surfaces these as a new suggestion type (`type: "voice"`) with a warm honey-amber decoration (`--color-honey`, distinct from the lavender used for `idiom`; deepened from a pale yellow so the underline stays legible against the cream canvas). This is not plagiarism detection; it's a writing consistency tool. It runs locally with no privacy cost and is useful for ESL writers who may have paraphrased too closely from a source.
**This is a distinct pass from the grammar checkpoint — do not bundle them.** Voice-consistency detection is inherently whole-document (it compares a passage against the established voice *everywhere else*), so it needs the full document as context and the full window is available (see Context Window Management). That makes it too expensive to fire on the fast 4s checkpoint cadence. Run it instead either:
- on a slow cadence (every 3060s of idle), separate from the grammar checkpoint debounce, or
- on an explicit "Check my voice" action in the toolbar.
Send the full `content_text` (no trailing-window truncation — the model window is 256K, the document will fit). Use a higher `max_tokens` than the grammar checkpoint since it may flag several passages. The grammar checkpoint stays fast and local-context; voice runs slow and whole-document. Each uses the context size and cadence appropriate to its job.
**Tier 2 — Academic Plagiarism Check (Copyleaks, opt-in, manual)**
A dedicated "Check for plagiarism" button in the editor toolbar. On first use, shows a consent modal explaining that document text will be sent to Copyleaks servers for comparison against web and academic databases. User must explicitly confirm. After confirmation, preference is saved per-user and the modal does not reappear.
Copyleaks checks against web content and academic paper databases — the same corpus type schools use with Turnitin. Not identical to Turnitin, but meaningful for pre-submission review.
### Copyleaks Integration
**Env vars:**
```
COPYLEAKS_ENABLED=false # off by default
COPYLEAKS_API_KEY=
COPYLEAKS_EMAIL= # account email, required by their API
```
**API flow:**
Copyleaks uses an async model — you submit text, get a scan ID, then poll or receive webhook callback when complete.
```
1. POST https://api.copyleaks.com/v3/education/submit/url/{scanId}
(or text submission endpoint)
→ 201 Accepted, scanId stored in plagiarism_reports
2. Copyleaks calls webhook: POST /api/webhooks/copyleaks
→ Go handler updates plagiarism_reports with result_json + similarity_pct + status=complete
3. Frontend polls GET /api/docs/:id/plagiarism/latest every 5s
while status=pending, renders results when complete
```
**Webhook endpoint:** `POST /api/webhooks/copyleaks` — must be publicly reachable (it is, via write.parodia.dev). No auth middleware on this route; validate using Copyleaks HMAC signature header instead.
**Results display (`PlagiarismPanel` component):**
- Slide-in right panel (same pattern as AskPetal expanded card but full height)
- Top: large similarity percentage with color coding (green <15%, amber 1530%, red >30%)
- Below: list of matched sources with URL, matched percentage, and matched passage
- Matched passages highlighted in the editor with a new red-tinted decoration type
- "Last checked: X minutes ago" + "Re-check" button
- Privacy reminder at panel footer: "Text was sent to Copyleaks for this check"
### Voice Consistency Prompt Addition
Add to the checkpoint system prompt (after existing ESL instructions):
```
Also identify any passages (2+ sentences) that feel tonally inconsistent with
the surrounding writing — unusually formal, unusually polished, or phrased in
a way that differs from the writer's established voice elsewhere in the document.
Flag these with type "voice". Do not flag the first paragraph (no baseline yet).
```
Return format addition:
```json
{ "original": "...", "replacement": null, "explanation": "This passage sounds more formal than the rest of your writing — worth reviewing.", "type": "voice" }
```
`replacement` is `null` for voice flags — there is no correction, just awareness. The frontend SuggestionCard handles `null` replacement by hiding the replacement row and showing only the explanation + Dismiss.
---
## LLM Integration
### Client Config (env vars)
```
LLM_BACKEND=vllm # vllm | ollama — default: vllm
LLM_ENDPOINT=http://192.168.x.x:8000 # vLLM default port 8000, Ollama default 11434
LLM_MODEL=gemma4 # Checkpoint model — small, fast. Treat as config, never hardcode.
LLM_CHAT_MODEL=gemma4 # Ask Petal model — can be much larger. Defaults to LLM_MODEL if unset.
LLM_TIMEOUT=30s
```
**Model sizing guidance:**
Checkpoint runs every 4 seconds while the user types — latency is UX. Keep `LLM_MODEL` at 4B7B. Gemma4 is a solid default.
Ask Petal is a deliberate conversational turn with small input context (~2,000 tokens) and short output (24 sentences). Since the user asks questions in Mandarin, `LLM_CHAT_MODEL` should be a Chinese-native model — **Qwen3.5 9B** is the right pick. Native Mandarin capability rather than learned multilingual coverage makes a real difference for grammar explanation quality. With 64GB VRAM you have plenty of headroom for a larger Qwen3 variant.
If `LLM_CHAT_MODEL` is unset, fall back to `LLM_MODEL`. Single-model setups work fine.
### Backend Abstraction
Define a `LLMClient` interface in `internal/llm/client.go`. All handler code calls the interface only — never a concrete type directly.
```go
// internal/llm/client.go
type Message struct {
Role string `json:"role"`
Content string `json:"content"`
}
type CompletionRequest struct {
Messages []Message
MaxTokens int
Temperature float64
RepetitionPenalty float64
TopP float64
Stop []string
Stream bool
}
type LLMClient interface {
// Complete returns the full response in one shot (used for checkpoint JSON)
Complete(ctx context.Context, req CompletionRequest) (string, error)
// Stream returns a channel of text chunks (used for Ask Petal SSE)
Stream(ctx context.Context, req CompletionRequest) (<-chan string, error)
}
// Factory — selects backend from config
func NewLLMClient(cfg *config.Config) LLMClient {
// LLM_CHAT_MODEL falls back to LLM_MODEL if unset
chatModel := cfg.LLMChatModel
if chatModel == "" {
chatModel = cfg.LLMModel
}
switch cfg.LLMBackend {
case "ollama":
return &OllamaClient{
endpoint: cfg.LLMEndpoint,
checkpointModel: cfg.LLMModel,
chatModel: chatModel,
timeout: cfg.LLMTimeout,
}
default: // "vllm"
return &VLLMClient{
endpoint: cfg.LLMEndpoint,
checkpointModel: cfg.LLMModel,
chatModel: chatModel,
timeout: cfg.LLMTimeout,
}
}
}
```
**`internal/llm/vllm.go`** — OpenAI-compatible endpoint:
```
POST {endpoint}/v1/chat/completions
Content-Type: application/json
{
"model": "{model}",
"messages": [...],
"max_tokens": {MaxTokens},
"temperature": {Temperature},
"repetition_penalty": {RepetitionPenalty},
"top_p": {TopP},
"stop": [...],
"stream": {Stream}
}
```
Streaming: SSE, parse `data:` lines, extract `choices[0].delta.content`, stop on `data: [DONE]`.
**`internal/llm/ollama.go`** — Ollama native API:
```
POST {endpoint}/api/chat
Content-Type: application/json
{
"model": "{model}",
"messages": [...],
"stream": {Stream},
"options": {
"num_predict": {MaxTokens},
"temperature": {Temperature},
"repeat_penalty": {RepetitionPenalty},
"top_p": {TopP},
"stop": [...]
}
}
```
Streaming: newline-delimited JSON objects, extract `message.content`, stop when `done: true`.
**Parameter mapping cheatsheet:**
| CompletionRequest field | vLLM key | Ollama key |
|---|---|---|
| `MaxTokens` | `max_tokens` | `options.num_predict` |
| `Temperature` | `temperature` | `options.temperature` |
| `RepetitionPenalty` | `repetition_penalty` | `options.repeat_penalty` |
| `TopP` | `top_p` | `options.top_p` |
| `Stop` | `stop` | `options.stop` |
Both backends live behind the same interface — checkpoint.go and the Ask Petal handler call `client.Complete()` and `client.Stream()` with no awareness of which backend is active.
### Checkpoint Logic
- **Trigger:** user stops typing for 4 seconds (debounced in frontend via `useCheckpoint.ts`)
- **Rate limit:** backend enforces minimum 30s between checks per document
- **Payload:** full `content_text` of the document (not just the changed section — context matters for ESL)
- **Max tokens:** 1024 (suggestions are structured JSON, should be compact)
- **Visual feedback:** pulsing rose dot in StatusBar while check in flight
### System Prompt
```
You are a warm, encouraging writing assistant helping someone who speaks English as a second language.
Analyze the text below and identify up to 5 issues: grammar errors, unnatural phrasing,
incorrect idiom usage, or unclear sentences that are common ESL patterns.
Be specific, friendly, and explain WHY each suggestion improves the writing.
Respond ONLY with valid JSON. No preamble, no markdown fences. Format:
{
"suggestions": [
{
"original": "exact text from the document that needs fixing",
"replacement": "corrected version",
"explanation": "friendly one-sentence explanation",
"type": "grammar|phrasing|idiom|clarity"
}
]
}
If the writing looks good, return: {"suggestions": []}
```
### Ask Petal: Conversational Follow-Up
When a user doesn't understand a suggestion, they tap **"Ask Petal ✨"** inside the suggestion card. This opens a mini chat panel anchored to the suggestion card (expands downward, max-height 320px, scrollable). The conversation is maintained in React state — not persisted to the DB. Closing the card clears the history.
**API route:** `POST /api/suggestions/:id/chat`
**Request payload:**
```json
{
"messages": [
{ "role": "user", "content": "why is this wrong?" }
]
}
```
**Server behavior:** The Go handler fetches the suggestion record (original, replacement, explanation, type) and the surrounding paragraph from the parent document's `content_text`. It injects these as system context, then appends the user's message history and streams the response back via SSE.
**Response:** SSE stream, `data:` events containing response text chunks. Frontend accumulates into assistant message bubble.
**Ask Petal System Prompt:**
```
You are Petal, a warm and patient English writing tutor helping someone who is learning English
as a second language. You are currently discussing a specific writing suggestion.
Suggestion context:
- Original text: "{{original}}"
- Suggested replacement: "{{replacement}}"
- Issue type: {{type}}
- Initial explanation: "{{explanation}}"
- Surrounding paragraph: "{{paragraph}}"
The user wants to understand this suggestion better. Detect the language of the user's message
and respond in that same language. If they write in Mandarin Chinese, respond entirely in
Mandarin. If they write in English, respond in English. Never mix languages in a single response.
Explain clearly and kindly. Use simple language appropriate to the user's message. Give examples
when helpful. If they ask "why" (or "为什么"), explain the grammar rule or idiom behind it.
If they suggest an alternative phrasing, evaluate it honestly.
Keep responses concise (2-4 sentences). This is a chat, not an essay. Be encouraging —
learning a language is hard and they're doing great.
```
**AskPetal Component (`web/src/components/Editor/AskPetal.tsx`):**
- Renders inside the expanded SuggestionCard
- Input field at bottom, message bubbles above (Petal messages: rose-tinted left-aligned; user messages: right-aligned lavender)
- "Ask Petal ✨" trigger button is a small pill link below the suggestion explanation
- Petal's first message pre-populates with the suggestion's explanation so context is immediate
- Streaming response renders token-by-token into the latest assistant bubble
- No conversation persistence — state lives in the SuggestionCard component
### LLM Sampling Parameters & Stability
vLLM is stateless per request. There are no server-side sessions — conversation history for Ask Petal is managed entirely at the app layer (client sends full message array each request). This is correct behavior; do not attempt to implement vLLM-side session persistence.
**Checkpoint requests (structured JSON output):**
```json
{
"model": "${LLM_MODEL}",
"messages": [...],
"max_tokens": 1024,
"temperature": 0.3,
"repetition_penalty": 1.15,
"top_p": 0.9,
"stop": ["```", "\n\n\n\n"]
}
```
**Ask Petal chat requests (conversational):**
```json
{
"model": "${LLM_MODEL}",
"messages": [...],
"max_tokens": 512,
"temperature": 0.7,
"repetition_penalty": 1.15,
"top_p": 0.92,
"stop": ["\n\n\n"]
}
```
**Why these values:**
- `temperature: 0.3` for checkpoint — low enough to produce structured JSON reliably, but not zero. Zero temperature means greedy decoding, which is paradoxically *more* prone to repetition loops in smaller models, not less.
- `temperature: 0.7` for chat — conversational range; allows natural variation without going incoherent.
- `repetition_penalty: 1.15` on both — primary defense against repetition breakdown. Applies a multiplicative penalty to already-seen tokens. 1.11.2 is the safe range; above 1.3 starts degrading output quality.
- `stop` sequences — catches runaway generation before it fills the output buffer. Triple newline is a reliable signal the model has looped past the end of a coherent response.
- `max_tokens: 512` for chat — enforces conciseness and prevents the model from rambling into a degraded state mid-response.
### Context Window Management
The model window is **not** the binding constraint here — Qwen 3.5 ships a 256K context window, and on a 64GB dual-GPU setup there is ample KV-cache headroom. The truncation caps below exist to protect **checkpoint latency** (prefill time scales with input length, and the grammar checkpoint must feel responsive), not memory. Documents will almost always fit uncut; the cap only fires on unusually long ones.
**Grammar checkpoint** (fast, latency-sensitive — keep input modest):
| Component | Token Budget |
|---|---|
| System prompt | ~300 |
| Document text | ~10,000 (hard cap; trailing window) |
| Response (JSON) | ~1,024 |
| Buffer | rest of window (ample) |
**Voice-consistency pass** (slow cadence — send the whole document, no trailing-window truncation; see Plagiarism Detection → Tier 1).
**Ask Petal chat:**
| Component | Token Budget |
|---|---|
| System prompt + suggestion context | ~600 |
| Conversation history (rolling) | ~3,000 |
| Latest user message | ~200 |
| Response | ~512 |
| Buffer | ~3,880 |
**Truncation logic (implement in `internal/llm/client.go`):**
```go
const maxDocChars = 40000 // ~10000 tokens at ~4 chars/token — grammar checkpoint only
const maxHistoryMsgs = 10 // 5 turns; drop oldest pairs first
// Document truncation (grammar checkpoint) — keep the recent end (user is actively writing there).
// The cap is a latency guard, not a window limit; the model window (256K) is far larger.
// The voice-consistency pass does NOT apply this truncation — it sends the full content_text.
if len(contentText) > maxDocChars {
contentText = contentText[len(contentText)-maxDocChars:]
}
// Conversation history truncation — drop oldest messages first
if len(messages) > maxHistoryMsgs {
messages = messages[len(messages)-maxHistoryMsgs:]
}
```
Always log a `WARN` when truncation fires so it's visible in production. Never fail silently.
The Go handler receives the LLM suggestions (which reference `original` text strings) and records the plain-text offsets via `strings.Index(content_text, original)` as `from_pos` / `to_pos`. **These stored offsets are for server-side use only** (paragraph extraction for Ask Petal context) and are *not* ProseMirror positions — see Note #6. The frontend anchors decorations by searching the live document for the `original` string in ProseMirror coordinates at render time, not by trusting a numeric position. This is the single most important correctness detail in the suggestion pipeline; get it wrong and every multi-block document mis-renders.
---
## Frontend: Tiptap Configuration
### Extensions to enable
```typescript
StarterKit, // Bold, italic, headings, lists, paragraphs
Underline,
TextAlign,
Placeholder.configure({ placeholder: 'Start writing...' }),
SpellChecker, // Custom extension wrapping nspell
SuggestionMark, // Custom extension for AI suggestion decorations
CharacterCount, // For word count in StatusBar
```
### SuggestionMark Extension
Custom Tiptap mark that:
- Accepts `{ suggestionId, type }` attributes
- **Anchors by string match, not stored position** — when suggestions arrive, walk the live ProseMirror document, find the `original` text in PM coordinates, and apply the mark over that range. Do not use the server's `from_pos`/`to_pos` (those are plain-text offsets, not PM positions — see Note #6). If `original` isn't found in the current document (already edited), skip that suggestion silently.
- Renders as a colored underline (color varies by type using CSS vars)
- On hover, shows `<SuggestionCard>` positioned absolutely above the text
- SuggestionCard shows: original → replacement, explanation, Accept button, Dismiss button
- Accept → calls `PUT /api/suggestions/:id` with `status: accepted`, applies replacement via Tiptap command
- Dismiss → calls `PUT /api/suggestions/:id` with `status: rejected`, removes mark
### useAutoSave Hook
```typescript
// Debounce 1500ms after last content change
// Calls PUT /api/docs/:id with { content, content_text, word_count }
// StatusBar shows: "Saving..." → "Saved just now" → fades to nothing after 3s
```
### useCheckpoint Hook
```typescript
// Debounce 4000ms after last content change
// Fires POST /api/docs/:id/check
// On response: dispatch suggestion decorations to Tiptap editor
// Sets checkpointActive state → StatusBar indicator
```
---
## Layout
```
┌─────────────────────────────────────────────────────────────┐
│ [🌸 Petal] [New Doc] [User Avatar] │ ← Header (48px)
├──────────────┬──────────────────────────────────────────────┤
│ │ │
│ Doc List │ Editor Canvas │
│ (260px) │ (centered, max-width 720px) │
│ │ │
│ [Doc 1] │ ┌─────────────────────────────┐ │
│ [Doc 2] ← │ │ [B] [I] [U] [H1] [H2] [≡] │ │ ← Toolbar
│ [Doc 3] │ └─────────────────────────────┘ │
│ │ │
│ + New │ Title (editable, large Nunito) │
│ │ │
│ │ Body text in Lora... │
│ │ ~~~~~~ suggestion underline ~~~~~~ │
│ │ │
│ │ │
├──────────────┴──────────────────────────────────────────────┤
│ 342 words · ● Checking... · Saved just now │ ← StatusBar (36px)
└─────────────────────────────────────────────────────────────┘
```
Distraction-free mode: clicking into the editor collapses the doc list sidebar (slides left), expands editor canvas full width. Click outside canvas or press Escape to restore.
---
## Environment Config
```bash
# .env.example
# Server
PORT=8080
BASE_URL=https://write.parodia.dev
SESSION_SECRET=change-me-to-random-64-char-string
# Database
DATABASE_PATH=/data/petal.db
# Authentik OIDC
AUTHENTIK_URL=https://auth.parodia.dev
AUTHENTIK_CLIENT_ID=petal
AUTHENTIK_CLIENT_SECRET=
# LLM
LLM_BACKEND=vllm # vllm | ollama
LLM_ENDPOINT=http://192.168.x.x:8000
LLM_MODEL=gemma4 # Checkpoint: small and fast (4B7B)
LLM_CHAT_MODEL=qwen3.5:9b # Ask Petal: Qwen3.5 9B recommended for native Mandarin support
LLM_TIMEOUT=30s
```
---
## Dockerfile
```dockerfile
# Stage 1: Build frontend
FROM node:22-alpine AS frontend
WORKDIR /app/web
COPY web/package*.json ./
RUN npm ci
COPY web/ ./
RUN npm run build
# Stage 2: Build Go binary
FROM golang:1.23-alpine AS backend
WORKDIR /app
COPY go.* ./
RUN go mod download
COPY . .
COPY --from=frontend /app/web/dist ./web/dist
RUN CGO_ENABLED=0 go build -o petal ./cmd/server
# Stage 3: Runtime
FROM alpine:3.20
RUN apk add --no-cache ca-certificates tzdata
WORKDIR /app
COPY --from=backend /app/petal .
VOLUME ["/data"]
EXPOSE 8080
CMD ["./petal"]
```
---
## docker-compose.yml
```yaml
services:
petal:
image: petal:latest
restart: unless-stopped
volumes:
- petal_data:/data
env_file: .env
labels:
- "traefik.enable=true"
- "traefik.http.routers.petal.rule=Host(`write.parodia.dev`)"
- "traefik.http.routers.petal.entrypoints=web-secure"
- "traefik.http.routers.petal.tls.certresolver=default"
- "traefik.http.services.petal.loadbalancer.server.port=8080"
networks:
- traefik
volumes:
petal_data:
networks:
traefik:
external: true
```
---
## v1 Scope (Ship This)
- [x] Tiptap rich text editor (bold, italic, underline, headings H1/H2, ordered/unordered lists)
- [x] Document list sidebar (create, rename, delete)
- [x] Auto-save to SQLite (1.5s debounce)
- [x] LLM checkpoint every 4s idle → inline suggestion decorations
- [x] Suggestion hover card (replacement + explanation + accept/dismiss)
- [x] nspell browser-side spell check (English dictionary)
- [x] Word count + save status + checkpoint indicator in StatusBar
- [x] Authentik OIDC auth
- [x] Plagiarism check (two-tier: local voice consistency + opt-in Copyleaks academic check)
- [x] Ask Petal conversational follow-up chat on any suggestion
- [x] Distraction-free mode
- [x] Soft/bubbly pastel design system
- [x] Single Docker binary deployment to write.parodia.dev
## Out of Scope for v1
- Export to DOCX / PDF (v1.1)
- Mobile layout (desktop first)
- Real-time collaboration
- Version history / change tracking
- Multiple language support (English first)
- Offline mode
---
## Notes for Claude Code
1. **Model names are always config values**`LLM_MODEL` drives checkpoint, `LLM_CHAT_MODEL` drives Ask Petal. Both read from env vars. Never hardcode either. If `LLM_CHAT_MODEL` is unset, fall back to `LLM_MODEL` — handle this in the factory, not in individual handlers.
2. **modernc sqlite** (`modernc.org/sqlite`) — pure Go, no cgo, no build friction.
3. **Tiptap JSON format** is stored verbatim in `documents.content`. `content_text` is the plain text extracted for the LLM — keep these in sync on every save.
4. **nspell dictionaries** — load `en-US` dictionary files from CDN or vendor them into `web/public/dictionaries/`. Don't shell out to hunspell binary.
5. **Go embeds frontend** — use `//go:embed web/dist` in `cmd/server/main.go`. Single binary deployment.
6. **Suggestion anchoring — resolve by string, not by stored position.** The `original` text string is the source of truth for where a suggestion belongs, **not** a stored numeric position. Two reasons:
- **Coordinate mismatch:** `strings.Index(contentText, original)` returns a *plain-text* character offset. Tiptap/ProseMirror positions are **not** plain-text offsets — every node boundary (paragraph, heading, list item) consumes position units, so a plaintext offset of N does not equal ProseMirror position N. Handing a plaintext offset to a Tiptap decoration places it in the wrong spot, and the error grows with each block in the document.
- **Staleness:** the user keeps typing (auto-save every 1.5s) after a checkpoint fires. Any position captured at checkpoint time is stale by the time the suggestion is stored and rendered.
**Therefore:** the frontend resolves each suggestion at *render time* by searching the live ProseMirror document for the `original` string (in PM coordinates) and applying the decoration there. The Go handler still runs `strings.Index(contentText, original)` and stores `from_pos`/`to_pos`, but these are **plain-text offsets for server-side use only** (e.g. extracting the surrounding paragraph for Ask Petal context — see Note #10), never shipped to the client as ProseMirror positions. If `original` appears multiple times, take the first occurrence; if not found at all, discard the suggestion rather than erroring. On the client, if `original` is no longer present in the live document (the user already edited that text), silently drop the suggestion — it's obsolete.
7. **Session management** — use `gorilla/sessions` with a cookie store. Session key is `petal_session`. Store `user_id` in session after OIDC callback.
8. **Authentik app** — needs to be created in Authentik with redirect URI `https://write.parodia.dev/api/auth/callback` and the OIDC client credentials added to `.env`.
9. **Ask Petal SSE streaming** — use `text/event-stream` response in Go, flush after each token chunk. Frontend uses `fetch` with `ReadableStream` (not `EventSource` — needs POST) to accumulate tokens into the assistant bubble in real time. Don't buffer the full response.
10. **Ask Petal context injection** — the Go handler for `/api/suggestions/:id/chat` fetches the suggestion + parent document in one query, extracts the paragraph containing `from_pos` from `content_text`, and injects all of it into the system prompt before the user messages. Never trust the client to send this context — always load it server-side.
11. **LLM backend abstraction**`NewLLMClient` is the only place that references `LLM_BACKEND`. Every other package receives an `LLMClient` interface value. `checkpoint.go` and the Ask Petal handler must import only the interface, not either concrete type. This keeps adding a third backend (e.g. LM Studio) to a single new file in the future.
12. **Ollama streaming format differs from vLLM** — Ollama streams newline-delimited JSON objects (`{"message":{"content":"..."},"done":false}`), not SSE `data:` lines. The `OllamaClient.Stream()` method must handle this format; do not reuse the vLLM SSE parser for Ollama.
13. **Copyleaks async flow** — submission returns immediately with a scan ID. Results arrive via webhook, not the submission response. Store the scan ID in `plagiarism_reports` immediately on submission, update the row when the webhook fires. Frontend polls `/api/docs/:id/plagiarism/latest` every 5s while `status=pending` — don't try to make this synchronous.
14. **Copyleaks webhook HMAC** — validate the `X-Copyleaks-Signature` header on every webhook call. Reject without processing if invalid. Never skip this in production.
15. **`replacement: null` in voice suggestions** — the SuggestionCard must check for null replacement and conditionally render. Don't assume replacement is always a string.
17. **CJK font fallback in Ask Petal chat** — Nunito has no CJK coverage. The chat bubble `font-family` must include system CJK fallbacks: `'Nunito', 'PingFang SC', 'Microsoft YaHei', 'Noto Sans CJK SC', sans-serif`. Apply this specifically to the AskPetal message bubbles, not the editor body.
18. **Mandarin detection is the model's job** — do not attempt language detection in Go or the frontend. The prompt instructs the model to detect and match. This works fine with Gemma4 which has solid Mandarin capability. If a future model swap degrades Mandarin quality, that's a prompt/model problem, not an architecture problem.

106
scripts/build_gloss.py Normal file
View File

@@ -0,0 +1,106 @@
#!/usr/bin/env python3
"""Build the embedded English->Chinese gloss dataset from ECDICT.
Petal shows an instant Chinese gloss when the writer (an English-as-a-second-
language user whose first language is Mandarin) hovers or right-clicks a word.
The gloss is served offline from a small map compiled into the Go binary, the
same way the English definitions/synonyms are (see internal/lexicon).
Source: ECDICT (https://github.com/skywind3000/ECDICT), MIT-licensed. We keep
only common single words that carry a Chinese translation, trim each gloss to a
couple of senses, and drop the noisy "[网络]" (internet-slang) lines — the result
gzips to a few MB, in line with the other lexicon assets.
Usage:
curl -sL https://raw.githubusercontent.com/skywind3000/ECDICT/master/ecdict.csv -o ecdict.csv
python3 scripts/build_gloss.py ecdict.csv internal/lexicon/data/gloss.json.gz
"""
import csv
import gzip
import json
import re
import sys
# Frequency gate: keep a word only if ECDICT ranks it in the BNC or COCA
# frequency lists (frq/bnc > 0). That bounds the asset to the words an ESL
# writer actually meets, dropping the long tail of archaic/technical headwords.
# Words below this rank but present nowhere in the frequency lists are skipped.
MAX_RANK = 50000
# A gloss is at most this many sense-lines and characters, so the hover bubble
# stays a glance, not a wall of text.
MAX_SENSES = 3
MAX_CHARS = 80
# Single English word: letters, with internal apostrophe/hyphen (so "don't",
# "well-being" survive but multi-word phrases and codes are dropped).
WORD_RE = re.compile(r"^[a-z][a-z'\-]*[a-z]$|^[a-z]$")
# Tag lines we drop from a translation: "[网络]" is crowd-sourced internet slang,
# "[俚]" slang, "[古]" archaic — none help an ESL writer pick everyday meaning.
DROP_TAG_RE = re.compile(r"^\[(网络|俚|古|罕|废)\]")
def clean_gloss(translation: str) -> str:
"""Trim an ECDICT translation to a compact, glanceable Chinese gloss."""
# ECDICT separates senses with a literal backslash-n; normalize to real
# newlines (and tolerate genuine newlines) before splitting.
translation = translation.replace("\\n", "\n")
senses = []
for line in translation.split("\n"):
line = line.strip()
if not line or DROP_TAG_RE.match(line):
continue
senses.append(line)
if len(senses) >= MAX_SENSES:
break
gloss = "".join(senses)
if len(gloss) > MAX_CHARS:
gloss = gloss[:MAX_CHARS].rstrip(";, ") + ""
return gloss
def rank(row: dict) -> int:
"""Best (lowest, non-zero) frequency rank across COCA and BNC."""
ranks = []
for key in ("frq", "bnc"):
try:
v = int(row.get(key) or 0)
except ValueError:
v = 0
if v > 0:
ranks.append(v)
return min(ranks) if ranks else 0
def main(src: str, dst: str) -> None:
out: dict[str, str] = {}
kept_rank: dict[str, int] = {}
with open(src, newline="", encoding="utf-8") as f:
for row in csv.DictReader(f):
word = (row.get("word") or "").strip().lower()
translation = (row.get("translation") or "").strip()
if not word or not translation or not WORD_RE.match(word):
continue
r = rank(row)
if r == 0 or r > MAX_RANK:
continue
gloss = clean_gloss(translation)
if not gloss:
continue
# On a duplicate headword keep the more frequent (lower-rank) entry.
if word in kept_rank and kept_rank[word] <= r:
continue
out[word] = gloss
kept_rank[word] = r
payload = json.dumps(out, ensure_ascii=False, separators=(",", ":")).encode("utf-8")
with gzip.open(dst, "wb", compresslevel=9) as gz:
gz.write(payload)
print(f"{len(out)} words -> {dst} ({len(payload)} bytes json)")
if __name__ == "__main__":
if len(sys.argv) != 3:
sys.exit("usage: build_gloss.py <ecdict.csv> <out.json.gz>")
main(sys.argv[1], sys.argv[2])

101
scripts/build_phonetic.py Normal file
View File

@@ -0,0 +1,101 @@
#!/usr/bin/env python3
"""Build the embedded English-phonetic dataset.
Petal's writer is a native Mandarin speaker learning English, so the useful
pronunciation aid is *how to say the English word* — shown in the word popover
beside the 🔊 read-aloud button. (Pinyin would annotate Chinese she already
reads fluently, so it isn't built.) The phonetic spelling comes from the same
ECDICT source as the Chinese gloss, which already carries a `phonetic` column.
Two modes:
# Full build from ECDICT (same CSV used by build_gloss.py):
curl -sL https://raw.githubusercontent.com/skywind3000/ECDICT/master/ecdict.csv -o ecdict.csv
python3 scripts/build_phonetic.py ecdict.csv internal/lexicon/data/phonetic.json.gz
# Write just the built-in common-word seed (no CSV needed — what ships in-repo
# so the feature works out of the box until a full build is run):
python3 scripts/build_phonetic.py --seed internal/lexicon/data/phonetic.json.gz
"""
import csv
import gzip
import json
import re
import sys
# Same frequency gate as the gloss build, so coverage matches the words an ESL
# writer actually meets and the asset stays small.
MAX_RANK = 50000
# Single English word (letters with internal apostrophe/hyphen).
WORD_RE = re.compile(r"^[a-z][a-z'\-]*[a-z]$|^[a-z]$")
# A small, hand-checked seed of common words → IPA. This ships in the repo so the
# phonetic line is live immediately; a full ECDICT build overwrites it with broad
# coverage. Kept deliberately short and correct rather than large and shaky.
SEED = {
"hello": "ˈloʊ", "world": "ːrld", "people": "ˈpiːpl", "water": "ˈːtər",
"river": "ˈrɪvər", "house": "haʊs", "school": "skuːl", "friend": "frɛnd",
"family": "ˈfæməli", "mother": "ˈmʌðər", "father": "ˈfɑːðər", "woman": "ˈwʊmən",
"language": "ˈlæŋɡwɪ", "english": "ˈɪŋɡlɪʃ", "write": "raɪt", "writing": "ˈraɪtɪŋ",
"read": "riːd", "word": "ːrd", "sentence": "ˈsɛntəns", "beautiful": "ˈbjuːtɪfl",
"happy": "ˈhæpi", "love": "lʌv", "thought": "θɔːt", "through": "θruː",
"though": "ðoʊ", "enough": "ɪˈnʌf", "question": "ˈkwɛstʃən", "answer": "ˈænsər",
"because": "bɪˈːz", "people's": "ˈpiːplz", "important": "ɪmˈːrtnt",
"different": "ˈdɪfərənt", "remember": "rɪˈmɛmbər", "together": "ˈɡɛðər",
"morning": "ˈːrnɪŋ", "tonight": "ˈnaɪt", "yesterday": "ˈjɛstərdeɪ",
"tomorrow": "ˈmɒroʊ", "weather": "ˈwɛðər", "color": "ˈkʌlər", "colour": "ˈkʌlər",
"favourite": "ˈfeɪvərɪt", "favorite": "ˈfeɪvərɪt", "comfortable": "ˈkʌmftəbl",
"vegetable": "ˈvɛdʒtəbl", "interesting": "ˈɪntrəstɪŋ", "necessary": "ˈnɛsəsɛri",
"february": "ˈfɛbruɛri", "wednesday": "ˈwɛnzdeɪ",
"island": "ˈaɪlənd", "knife": "naɪf", "know": "noʊ", "knee": "niː",
"hour": "ˈaʊər", "honest": "ˈɒnɪst", "listen": "ˈlɪsn", "castle": "ˈkæsl",
"thank": "θæŋk", "think": "θɪŋk", "thing": "θɪŋ", "three": "θriː",
"voice": "ɪs", "choice": "tʃɔɪs", "nature": "ˈneɪtʃər", "picture": "ˈpɪktʃər",
"future": "ˈfjuːtʃər", "culture": "ˈkʌltʃər", "measure": "ˈmɛʒər",
"usually": "ˈjuːʒuəli", "decision": "dɪˈsɪʒn", "delicious": "dɪˈlɪʃəs",
}
def clean_phonetic(p: str) -> str:
"""Normalize an ECDICT phonetic field: trim, strip wrapping slashes/brackets."""
p = p.strip().strip("/[]").strip()
return p
def build_from_csv(src: str) -> dict:
out = {}
with open(src, newline="", encoding="utf-8") as fh:
for row in csv.DictReader(fh):
word = (row.get("word") or "").strip().lower()
phon = clean_phonetic(row.get("phonetic") or "")
if not word or not phon or not WORD_RE.match(word):
continue
try:
rank = int(row.get("frq") or 0) or int(row.get("bnc") or 0)
except ValueError:
rank = 0
if rank <= 0 or rank > MAX_RANK:
continue
out[word] = phon
# Make sure the curated seed is always present (and authoritative).
out.update(SEED)
return out
def main() -> None:
args = sys.argv[1:]
if not args:
sys.exit(__doc__)
if args[0] == "--seed":
data, dest = dict(SEED), args[1]
else:
src, dest = args[0], args[1]
data = build_from_csv(src)
with gzip.open(dest, "wt", encoding="utf-8") as fh:
json.dump(data, fh, ensure_ascii=False, separators=(",", ":"))
print(f"wrote {len(data)} phonetic entries to {dest}")
if __name__ == "__main__":
main()

165
scripts/gen_sounds.py Normal file
View File

@@ -0,0 +1,165 @@
#!/usr/bin/env python3
"""Generate Petal's cute UI sound palette as small WAV assets.
These are warm, rounded little sounds — bubble pops, water drops, soft bells —
played when suggestions and companion bubbles appear. We synthesize them here
(rather than ship someone else's clips) so they match the app's gentle aesthetic
exactly and stay tiny. Output lands in web/src/assets/sounds/ where Vite bundles
and fingerprints them into dist (and so into the embedded Go binary).
Run: python3 scripts/gen_sounds.py
"""
import math
import os
import struct
import wave
SR = 44100
OUT = os.path.join(os.path.dirname(__file__), "..", "web", "src", "assets", "sounds")
def env(n, attack, decay, total):
"""Smooth attack + exponential decay envelope over `total` seconds."""
a = max(1, int(attack * SR))
out = []
for i in range(n):
t = i / SR
if i < a:
amp = i / a
else:
amp = math.exp(-(t - attack) / decay)
out.append(amp)
return out
def sine(freq_at, n):
"""Sine with a per-sample frequency function freq_at(t)->Hz (phase-accurate)."""
out = []
phase = 0.0
for i in range(n):
t = i / SR
f = freq_at(t)
phase += 2 * math.pi * f / SR
out.append(math.sin(phase))
return out
def mix(*layers):
n = max(len(l) for l in layers)
out = [0.0] * n
for l in layers:
for i, v in enumerate(l):
out[i] += v
return out
def soft_clip(s):
return [math.tanh(v * 1.2) for v in s]
def normalize(s, peak=0.9):
m = max(1e-9, max(abs(v) for v in s))
g = peak / m
return [v * g for v in s]
def write_wav(name, samples):
samples = soft_clip(samples)
samples = normalize(samples, 0.85)
# 4ms fade-out tail so nothing clicks at the end.
tail = int(0.004 * SR)
for i in range(tail):
samples[-1 - i] *= i / tail
os.makedirs(OUT, exist_ok=True)
path = os.path.join(OUT, name)
with wave.open(path, "w") as w:
w.setnchannels(1)
w.setsampwidth(2)
w.setframerate(SR)
frames = b"".join(struct.pack("<h", int(max(-1, min(1, v)) * 32767)) for v in samples)
w.writeframes(frames)
print(f"wrote {name} ({len(samples)/SR*1000:.0f} ms, {len(frames)} bytes)")
def apply_env(sig, e):
return [s * a for s, a in zip(sig, e)]
def bubble_pop():
"""A cute bubble 'bloop' — pitch swoops up fast then a rounded body."""
dur = 0.16
n = int(dur * SR)
# Rising swoop is the signature of a bubble.
body = sine(lambda t: 360 + 720 * (1 - math.exp(-t * 38)), n)
body = apply_env(body, env(n, 0.004, 0.05, dur))
# A soft octave shimmer on top.
shimmer = sine(lambda t: 1080 + 400 * (1 - math.exp(-t * 38)), n)
shimmer = apply_env(shimmer, env(n, 0.003, 0.03, dur))
shimmer = [v * 0.25 for v in shimmer]
return mix(body, shimmer)
def droplet():
"""A clean little water-drop ping — high, downward, watery tail."""
dur = 0.22
n = int(dur * SR)
main = sine(lambda t: 1500 * math.exp(-t * 3.2) + 760, n)
main = apply_env(main, env(n, 0.003, 0.06, dur))
# Tiny resonant echo for a wet feel.
echo = sine(lambda t: 980, n)
echo = apply_env(echo, env(n, 0.05, 0.07, dur))
echo = [v * 0.2 for v in echo]
return mix(main, droop_delay(echo, 0.04))
def droop_delay(sig, delay_s):
d = int(delay_s * SR)
return [0.0] * d + sig
def bell(freq, dur, partials=((1, 1.0), (2.01, 0.5), (2.78, 0.28), (4.1, 0.12))):
"""A soft inharmonic bell tone (sum of slightly detuned partials)."""
n = int(dur * SR)
layers = []
for ratio, amp in partials:
s = sine(lambda t, f=freq * ratio: f, n)
s = apply_env(s, env(n, 0.005, dur * 0.45, dur))
layers.append([v * amp for v in s])
return mix(*layers)
def chime():
"""Two gentle bell notes a soft fifth apart."""
a = bell(784, 0.42) # G5
b = bell(1175, 0.40) # D6
b = droop_delay(b, 0.10)
return mix(a, [v * 0.85 for v in b])
def shimmer():
"""Three quick ascending sparkles — glockenspiel-ish."""
notes = [988, 1319, 1976] # B5, E6, B6
layers = []
for i, f in enumerate(notes):
s = bell(f, 0.30, partials=((1, 1.0), (2.7, 0.3), (5.1, 0.1)))
layers.append(droop_delay([v * 0.8 for v in s], 0.06 * i))
return mix(*layers)
def cheer():
"""A happy little major arpeggio C5-E5-G5-C6 on bells."""
notes = [523, 659, 784, 1047]
layers = []
for i, f in enumerate(notes):
s = bell(f, 0.36)
layers.append(droop_delay([v * 0.8 for v in s], 0.075 * i))
return mix(*layers)
if __name__ == "__main__":
write_wav("pop.wav", bubble_pop())
write_wav("droplet.wav", droplet())
write_wav("chime.wav", chime())
write_wav("shimmer.wav", shimmer())
write_wav("cheer.wav", cheer())
print("done →", os.path.normpath(OUT))

540
web/package-lock.json generated
View File

@@ -9,12 +9,22 @@
"version": "0.0.0", "version": "0.0.0",
"dependencies": { "dependencies": {
"@tiptap/extension-character-count": "^2.11.5", "@tiptap/extension-character-count": "^2.11.5",
"@tiptap/extension-color": "^2.27.2",
"@tiptap/extension-highlight": "^2.27.2",
"@tiptap/extension-image": "^2.27.2",
"@tiptap/extension-link": "^2.27.2",
"@tiptap/extension-placeholder": "^2.11.5", "@tiptap/extension-placeholder": "^2.11.5",
"@tiptap/extension-table": "^2.27.2",
"@tiptap/extension-table-cell": "^2.27.2",
"@tiptap/extension-table-header": "^2.27.2",
"@tiptap/extension-table-row": "^2.27.2",
"@tiptap/extension-text-align": "^2.11.5", "@tiptap/extension-text-align": "^2.11.5",
"@tiptap/extension-underline": "^2.11.5", "@tiptap/extension-underline": "^2.11.5",
"@tiptap/pm": "^2.11.5", "@tiptap/pm": "^2.11.5",
"@tiptap/react": "^2.11.5", "@tiptap/react": "^2.11.5",
"@tiptap/starter-kit": "^2.11.5", "@tiptap/starter-kit": "^2.11.5",
"lottie-web": "^5.13.0",
"nspell": "^2.1.5",
"react": "^19.1.0", "react": "^19.1.0",
"react-dom": "^19.1.0" "react-dom": "^19.1.0"
}, },
@@ -23,9 +33,11 @@
"@types/react": "^19.1.0", "@types/react": "^19.1.0",
"@types/react-dom": "^19.1.0", "@types/react-dom": "^19.1.0",
"@vitejs/plugin-react": "^4.3.4", "@vitejs/plugin-react": "^4.3.4",
"dictionary-en": "^4.0.0",
"tailwindcss": "^4.0.0", "tailwindcss": "^4.0.0",
"typescript": "^5.7.3", "typescript": "^5.7.3",
"vite": "^6.1.0" "vite": "^6.1.0",
"vitest": "^4.1.9"
} }
}, },
"node_modules/@babel/code-frame": { "node_modules/@babel/code-frame": {
@@ -1175,6 +1187,13 @@
"win32" "win32"
] ]
}, },
"node_modules/@standard-schema/spec": {
"version": "1.1.0",
"resolved": "https://registry.npmjs.org/@standard-schema/spec/-/spec-1.1.0.tgz",
"integrity": "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w==",
"dev": true,
"license": "MIT"
},
"node_modules/@tailwindcss/node": { "node_modules/@tailwindcss/node": {
"version": "4.3.1", "version": "4.3.1",
"resolved": "https://registry.npmjs.org/@tailwindcss/node/-/node-4.3.1.tgz", "resolved": "https://registry.npmjs.org/@tailwindcss/node/-/node-4.3.1.tgz",
@@ -1557,6 +1576,20 @@
"@tiptap/pm": "^2.7.0" "@tiptap/pm": "^2.7.0"
} }
}, },
"node_modules/@tiptap/extension-color": {
"version": "2.27.2",
"resolved": "https://registry.npmjs.org/@tiptap/extension-color/-/extension-color-2.27.2.tgz",
"integrity": "sha512-sOKCP8/2V3sRM3FdWgMe1lFE5ewsWNCRafiVoujS1+TTHGCj4jw6W+LiumBUk7cRI8kXW/rqGWVC4RVdknYUCA==",
"license": "MIT",
"funding": {
"type": "github",
"url": "https://github.com/sponsors/ueberdosis"
},
"peerDependencies": {
"@tiptap/core": "^2.7.0",
"@tiptap/extension-text-style": "^2.7.0"
}
},
"node_modules/@tiptap/extension-document": { "node_modules/@tiptap/extension-document": {
"version": "2.27.2", "version": "2.27.2",
"resolved": "https://registry.npmjs.org/@tiptap/extension-document/-/extension-document-2.27.2.tgz", "resolved": "https://registry.npmjs.org/@tiptap/extension-document/-/extension-document-2.27.2.tgz",
@@ -1641,6 +1674,19 @@
"@tiptap/core": "^2.7.0" "@tiptap/core": "^2.7.0"
} }
}, },
"node_modules/@tiptap/extension-highlight": {
"version": "2.27.2",
"resolved": "https://registry.npmjs.org/@tiptap/extension-highlight/-/extension-highlight-2.27.2.tgz",
"integrity": "sha512-ZjlktDdMjruMJFAVz0TbQf0v92Jqkc7Ri1iZJqBXuLid+r+GxUzl2CVAV7qq5yagkGQgvAG+WGsMk880HgR3MA==",
"license": "MIT",
"funding": {
"type": "github",
"url": "https://github.com/sponsors/ueberdosis"
},
"peerDependencies": {
"@tiptap/core": "^2.7.0"
}
},
"node_modules/@tiptap/extension-history": { "node_modules/@tiptap/extension-history": {
"version": "2.27.2", "version": "2.27.2",
"resolved": "https://registry.npmjs.org/@tiptap/extension-history/-/extension-history-2.27.2.tgz", "resolved": "https://registry.npmjs.org/@tiptap/extension-history/-/extension-history-2.27.2.tgz",
@@ -1669,6 +1715,19 @@
"@tiptap/pm": "^2.7.0" "@tiptap/pm": "^2.7.0"
} }
}, },
"node_modules/@tiptap/extension-image": {
"version": "2.27.2",
"resolved": "https://registry.npmjs.org/@tiptap/extension-image/-/extension-image-2.27.2.tgz",
"integrity": "sha512-5zL/BY41FIt72azVrCrv3n+2YJ/JyO8wxCcA4Dk1eXIobcgVyIdo4rG39gCqIOiqziAsqnqoj12QHTBtHsJ6mQ==",
"license": "MIT",
"funding": {
"type": "github",
"url": "https://github.com/sponsors/ueberdosis"
},
"peerDependencies": {
"@tiptap/core": "^2.7.0"
}
},
"node_modules/@tiptap/extension-italic": { "node_modules/@tiptap/extension-italic": {
"version": "2.27.2", "version": "2.27.2",
"resolved": "https://registry.npmjs.org/@tiptap/extension-italic/-/extension-italic-2.27.2.tgz", "resolved": "https://registry.npmjs.org/@tiptap/extension-italic/-/extension-italic-2.27.2.tgz",
@@ -1682,6 +1741,23 @@
"@tiptap/core": "^2.7.0" "@tiptap/core": "^2.7.0"
} }
}, },
"node_modules/@tiptap/extension-link": {
"version": "2.27.2",
"resolved": "https://registry.npmjs.org/@tiptap/extension-link/-/extension-link-2.27.2.tgz",
"integrity": "sha512-bnP61qkr0Kj9Cgnop1hxn2zbOCBzNtmawxr92bVTOE31fJv6FhtCnQiD6tuPQVGMYhcmAj7eihtvuEMFfqEPcQ==",
"license": "MIT",
"dependencies": {
"linkifyjs": "^4.3.2"
},
"funding": {
"type": "github",
"url": "https://github.com/sponsors/ueberdosis"
},
"peerDependencies": {
"@tiptap/core": "^2.7.0",
"@tiptap/pm": "^2.7.0"
}
},
"node_modules/@tiptap/extension-list-item": { "node_modules/@tiptap/extension-list-item": {
"version": "2.27.2", "version": "2.27.2",
"resolved": "https://registry.npmjs.org/@tiptap/extension-list-item/-/extension-list-item-2.27.2.tgz", "resolved": "https://registry.npmjs.org/@tiptap/extension-list-item/-/extension-list-item-2.27.2.tgz",
@@ -1748,6 +1824,59 @@
"@tiptap/core": "^2.7.0" "@tiptap/core": "^2.7.0"
} }
}, },
"node_modules/@tiptap/extension-table": {
"version": "2.27.2",
"resolved": "https://registry.npmjs.org/@tiptap/extension-table/-/extension-table-2.27.2.tgz",
"integrity": "sha512-pDbhOpT5phZkcsyPjGBQlXv0+0hmdrvqHJ+dJjkGcCtlfy2pHiEIhmIItOFagc7wXy8G9iUFZ9Jie4zvDf+brg==",
"license": "MIT",
"funding": {
"type": "github",
"url": "https://github.com/sponsors/ueberdosis"
},
"peerDependencies": {
"@tiptap/core": "^2.7.0",
"@tiptap/pm": "^2.7.0"
}
},
"node_modules/@tiptap/extension-table-cell": {
"version": "2.27.2",
"resolved": "https://registry.npmjs.org/@tiptap/extension-table-cell/-/extension-table-cell-2.27.2.tgz",
"integrity": "sha512-9Lk46MjZMFzVZfOj9Kd7VgC6Odt6vmEhlCYVumErShUY7EkFqCw3b2IYoUtQkntfOEx/Afnhff/okNQwPsJeUA==",
"license": "MIT",
"funding": {
"type": "github",
"url": "https://github.com/sponsors/ueberdosis"
},
"peerDependencies": {
"@tiptap/core": "^2.7.0"
}
},
"node_modules/@tiptap/extension-table-header": {
"version": "2.27.2",
"resolved": "https://registry.npmjs.org/@tiptap/extension-table-header/-/extension-table-header-2.27.2.tgz",
"integrity": "sha512-ZEb6lbG0NbbodWLV0b4BS/QrDIPlUbCcuOsUxzqVvlMUY1Vg6Fj6fKwLaBcsIUDHi8sxZDBEgYEDw3BR/zcO6A==",
"license": "MIT",
"funding": {
"type": "github",
"url": "https://github.com/sponsors/ueberdosis"
},
"peerDependencies": {
"@tiptap/core": "^2.7.0"
}
},
"node_modules/@tiptap/extension-table-row": {
"version": "2.27.2",
"resolved": "https://registry.npmjs.org/@tiptap/extension-table-row/-/extension-table-row-2.27.2.tgz",
"integrity": "sha512-Nw9+tA56Y5HtLVP01NGCZSUuTQhJPtfK9OfmDgGgcxynn2cRVdEtj+9FNZqRhQ1iRVaAI+Rd4xRvX9qYePMOxw==",
"license": "MIT",
"funding": {
"type": "github",
"url": "https://github.com/sponsors/ueberdosis"
},
"peerDependencies": {
"@tiptap/core": "^2.7.0"
}
},
"node_modules/@tiptap/extension-text": { "node_modules/@tiptap/extension-text": {
"version": "2.27.2", "version": "2.27.2",
"resolved": "https://registry.npmjs.org/@tiptap/extension-text/-/extension-text-2.27.2.tgz", "resolved": "https://registry.npmjs.org/@tiptap/extension-text/-/extension-text-2.27.2.tgz",
@@ -1931,6 +2060,24 @@
"@babel/types": "^7.28.2" "@babel/types": "^7.28.2"
} }
}, },
"node_modules/@types/chai": {
"version": "5.2.3",
"resolved": "https://registry.npmjs.org/@types/chai/-/chai-5.2.3.tgz",
"integrity": "sha512-Mw558oeA9fFbv65/y4mHtXDs9bPnFMZAL/jxdPFUpOHHIXX91mcgEHbS5Lahr+pwZFR8A7GQleRWeI6cGFC2UA==",
"dev": true,
"license": "MIT",
"dependencies": {
"@types/deep-eql": "*",
"assertion-error": "^2.0.1"
}
},
"node_modules/@types/deep-eql": {
"version": "4.0.2",
"resolved": "https://registry.npmjs.org/@types/deep-eql/-/deep-eql-4.0.2.tgz",
"integrity": "sha512-c9h9dVVMigMPc4bwTvC5dxqtqJZwQPePsWjPlpSOnojbor6pGqdk541lfA7AqFQr5pB1BRdq0juY9db81BwyFw==",
"dev": true,
"license": "MIT"
},
"node_modules/@types/estree": { "node_modules/@types/estree": {
"version": "1.0.9", "version": "1.0.9",
"resolved": "https://registry.npmjs.org/@types/estree/-/estree-1.0.9.tgz", "resolved": "https://registry.npmjs.org/@types/estree/-/estree-1.0.9.tgz",
@@ -2007,12 +2154,135 @@
"vite": "^4.2.0 || ^5.0.0 || ^6.0.0 || ^7.0.0" "vite": "^4.2.0 || ^5.0.0 || ^6.0.0 || ^7.0.0"
} }
}, },
"node_modules/@vitest/expect": {
"version": "4.1.9",
"resolved": "https://registry.npmjs.org/@vitest/expect/-/expect-4.1.9.tgz",
"integrity": "sha512-vl/rYsUKcBr3SnQn166+XR5ZQcgMx3DQhFWdfli/cWpLnLUmbxZvyrJZotLFUryib+LtArYMSTJ5RbQ57ZqrlA==",
"dev": true,
"license": "MIT",
"dependencies": {
"@standard-schema/spec": "^1.1.0",
"@types/chai": "^5.2.2",
"@vitest/spy": "4.1.9",
"@vitest/utils": "4.1.9",
"chai": "^6.2.2",
"tinyrainbow": "^3.1.0"
},
"funding": {
"url": "https://opencollective.com/vitest"
}
},
"node_modules/@vitest/mocker": {
"version": "4.1.9",
"resolved": "https://registry.npmjs.org/@vitest/mocker/-/mocker-4.1.9.tgz",
"integrity": "sha512-EVkXzBjrPGM+cK8/ANWgBrkUCfJfb38/EfTSO8h7pWvKkyPkpWxvR7BkD2MyItMF62C97zAEoqdpUixwR/e+Rw==",
"dev": true,
"license": "MIT",
"dependencies": {
"@vitest/spy": "4.1.9",
"estree-walker": "^3.0.3",
"magic-string": "^0.30.21"
},
"funding": {
"url": "https://opencollective.com/vitest"
},
"peerDependencies": {
"msw": "^2.4.9",
"vite": "^6.0.0 || ^7.0.0 || ^8.0.0"
},
"peerDependenciesMeta": {
"msw": {
"optional": true
},
"vite": {
"optional": true
}
}
},
"node_modules/@vitest/pretty-format": {
"version": "4.1.9",
"resolved": "https://registry.npmjs.org/@vitest/pretty-format/-/pretty-format-4.1.9.tgz",
"integrity": "sha512-s0iufns3iIFitdgm+YR7g1whCAaGtXz459VS9/PqyKDEEFgYIhsHOQmXgIgDuYCt7DeQmiZT0Qe2OA2p4ZPu5A==",
"dev": true,
"license": "MIT",
"dependencies": {
"tinyrainbow": "^3.1.0"
},
"funding": {
"url": "https://opencollective.com/vitest"
}
},
"node_modules/@vitest/runner": {
"version": "4.1.9",
"resolved": "https://registry.npmjs.org/@vitest/runner/-/runner-4.1.9.tgz",
"integrity": "sha512-KXLMDtc7oe70+3mJfGrPUWPesswH+3sTxAMAMl8DG7I8IUQT4XW718dY5ID3vPUcmlu27CcKfY4P3h3I29SLJg==",
"dev": true,
"license": "MIT",
"dependencies": {
"@vitest/utils": "4.1.9",
"pathe": "^2.0.3"
},
"funding": {
"url": "https://opencollective.com/vitest"
}
},
"node_modules/@vitest/snapshot": {
"version": "4.1.9",
"resolved": "https://registry.npmjs.org/@vitest/snapshot/-/snapshot-4.1.9.tgz",
"integrity": "sha512-Jc7RKGNBo8Z28WYIm0Niej4xdSPByRf6mU58VpHQkd6Zh05rlnA+twjbK5HyeIGHxrzsc3mJgS43uM0CZKzaIA==",
"dev": true,
"license": "MIT",
"dependencies": {
"@vitest/pretty-format": "4.1.9",
"@vitest/utils": "4.1.9",
"magic-string": "^0.30.21",
"pathe": "^2.0.3"
},
"funding": {
"url": "https://opencollective.com/vitest"
}
},
"node_modules/@vitest/spy": {
"version": "4.1.9",
"resolved": "https://registry.npmjs.org/@vitest/spy/-/spy-4.1.9.tgz",
"integrity": "sha512-fHpsS6mIi+PiEW+vcRVOMkX1oSaPKne3VOclSFICPcGOmfKgXPU5iAah+wcNcj2xPrCCmfq99IDGf+EojhhvhA==",
"dev": true,
"license": "MIT",
"funding": {
"url": "https://opencollective.com/vitest"
}
},
"node_modules/@vitest/utils": {
"version": "4.1.9",
"resolved": "https://registry.npmjs.org/@vitest/utils/-/utils-4.1.9.tgz",
"integrity": "sha512-A51o8ymO5PpqlWNnBP9ZHPXDIpuMtTLlGSjN7la4US+LJzoUMyhwjA5QXlm39JexgwHKW4Xjs8Z2d3dLCXOeuA==",
"dev": true,
"license": "MIT",
"dependencies": {
"@vitest/pretty-format": "4.1.9",
"convert-source-map": "^2.0.0",
"tinyrainbow": "^3.1.0"
},
"funding": {
"url": "https://opencollective.com/vitest"
}
},
"node_modules/argparse": { "node_modules/argparse": {
"version": "2.0.1", "version": "2.0.1",
"resolved": "https://registry.npmjs.org/argparse/-/argparse-2.0.1.tgz", "resolved": "https://registry.npmjs.org/argparse/-/argparse-2.0.1.tgz",
"integrity": "sha512-8+9WqebbFzpX9OR+Wa6O29asIogeRMzcGtAINdpMHHyAg10f05aSFVBbcEqGf/PXw1EjAZ+q2/bEBg3DvurK3Q==", "integrity": "sha512-8+9WqebbFzpX9OR+Wa6O29asIogeRMzcGtAINdpMHHyAg10f05aSFVBbcEqGf/PXw1EjAZ+q2/bEBg3DvurK3Q==",
"license": "Python-2.0" "license": "Python-2.0"
}, },
"node_modules/assertion-error": {
"version": "2.0.1",
"resolved": "https://registry.npmjs.org/assertion-error/-/assertion-error-2.0.1.tgz",
"integrity": "sha512-Izi8RQcffqCeNVgFigKli1ssklIbpHnCYc6AknXGYoB6grJqyeby7jv12JUQgmTAnIDnbck1uxksT4dzN3PWBA==",
"dev": true,
"license": "MIT",
"engines": {
"node": ">=12"
}
},
"node_modules/baseline-browser-mapping": { "node_modules/baseline-browser-mapping": {
"version": "2.10.40", "version": "2.10.40",
"resolved": "https://registry.npmjs.org/baseline-browser-mapping/-/baseline-browser-mapping-2.10.40.tgz", "resolved": "https://registry.npmjs.org/baseline-browser-mapping/-/baseline-browser-mapping-2.10.40.tgz",
@@ -2081,6 +2351,16 @@
], ],
"license": "CC-BY-4.0" "license": "CC-BY-4.0"
}, },
"node_modules/chai": {
"version": "6.2.2",
"resolved": "https://registry.npmjs.org/chai/-/chai-6.2.2.tgz",
"integrity": "sha512-NUPRluOfOiTKBKvWPtSD4PhFvWCqOi0BGStNWs57X9js7XGTprSmFoz5F0tWhR4WPjNeR9jXqdC7/UpSJTnlRg==",
"dev": true,
"license": "MIT",
"engines": {
"node": ">=18"
}
},
"node_modules/convert-source-map": { "node_modules/convert-source-map": {
"version": "2.0.0", "version": "2.0.0",
"resolved": "https://registry.npmjs.org/convert-source-map/-/convert-source-map-2.0.0.tgz", "resolved": "https://registry.npmjs.org/convert-source-map/-/convert-source-map-2.0.0.tgz",
@@ -2129,6 +2409,17 @@
"node": ">=8" "node": ">=8"
} }
}, },
"node_modules/dictionary-en": {
"version": "4.0.0",
"resolved": "https://registry.npmjs.org/dictionary-en/-/dictionary-en-4.0.0.tgz",
"integrity": "sha512-3NHnE1uq33ZE/CIwaZ6gqxa4BnglHnxeAcTM0GJ7cmtRGcvX9InMK/IqLtYcUMFCUpUNgybH+DzkqdgAo3F1zg==",
"dev": true,
"license": "(MIT AND BSD)",
"funding": {
"type": "github",
"url": "https://github.com/sponsors/wooorm"
}
},
"node_modules/electron-to-chromium": { "node_modules/electron-to-chromium": {
"version": "1.5.379", "version": "1.5.379",
"resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.5.379.tgz", "resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.5.379.tgz",
@@ -2162,6 +2453,13 @@
"url": "https://github.com/fb55/entities?sponsor=1" "url": "https://github.com/fb55/entities?sponsor=1"
} }
}, },
"node_modules/es-module-lexer": {
"version": "2.1.0",
"resolved": "https://registry.npmjs.org/es-module-lexer/-/es-module-lexer-2.1.0.tgz",
"integrity": "sha512-n27zTYMjYu1aj4MjCWzSP7G9r75utsaoc8m61weK+W8JMBGGQybd43GstCXZ3WNmSFtGT9wi59qQTW6mhTR5LQ==",
"dev": true,
"license": "MIT"
},
"node_modules/esbuild": { "node_modules/esbuild": {
"version": "0.25.12", "version": "0.25.12",
"resolved": "https://registry.npmjs.org/esbuild/-/esbuild-0.25.12.tgz", "resolved": "https://registry.npmjs.org/esbuild/-/esbuild-0.25.12.tgz",
@@ -2226,6 +2524,26 @@
"url": "https://github.com/sponsors/sindresorhus" "url": "https://github.com/sponsors/sindresorhus"
} }
}, },
"node_modules/estree-walker": {
"version": "3.0.3",
"resolved": "https://registry.npmjs.org/estree-walker/-/estree-walker-3.0.3.tgz",
"integrity": "sha512-7RUKfXgSMMkzt6ZuXmqapOurLGPPfgj6l9uRZ7lRGolvk0y2yocc35LdcxKC5PQZdn2DMqioAQ2NoWcrTKmm6g==",
"dev": true,
"license": "MIT",
"dependencies": {
"@types/estree": "^1.0.0"
}
},
"node_modules/expect-type": {
"version": "1.4.0",
"resolved": "https://registry.npmjs.org/expect-type/-/expect-type-1.4.0.tgz",
"integrity": "sha512-KfYbmpRm0VbLjEvVa9yGwCi9GI34xvi7A/HXYWQO65CSD2u3MczUJSuwXKFIxlGsgBQizV9q5J9NHj4VG0n+pA==",
"dev": true,
"license": "Apache-2.0",
"engines": {
"node": ">=12.0.0"
}
},
"node_modules/fast-deep-equal": { "node_modules/fast-deep-equal": {
"version": "3.1.3", "version": "3.1.3",
"resolved": "https://registry.npmjs.org/fast-deep-equal/-/fast-deep-equal-3.1.3.tgz", "resolved": "https://registry.npmjs.org/fast-deep-equal/-/fast-deep-equal-3.1.3.tgz",
@@ -2282,6 +2600,29 @@
"dev": true, "dev": true,
"license": "ISC" "license": "ISC"
}, },
"node_modules/is-buffer": {
"version": "2.0.5",
"resolved": "https://registry.npmjs.org/is-buffer/-/is-buffer-2.0.5.tgz",
"integrity": "sha512-i2R6zNFDwgEHJyQUtJEk0XFi1i0dPFn/oqjK3/vPCcDeJvW5NQ83V8QbicfF1SupOaB0h8ntgBC2YiE7dfyctQ==",
"funding": [
{
"type": "github",
"url": "https://github.com/sponsors/feross"
},
{
"type": "patreon",
"url": "https://www.patreon.com/feross"
},
{
"type": "consulting",
"url": "https://feross.org/support"
}
],
"license": "MIT",
"engines": {
"node": ">=4"
}
},
"node_modules/jiti": { "node_modules/jiti": {
"version": "2.7.0", "version": "2.7.0",
"resolved": "https://registry.npmjs.org/jiti/-/jiti-2.7.0.tgz", "resolved": "https://registry.npmjs.org/jiti/-/jiti-2.7.0.tgz",
@@ -2605,6 +2946,18 @@
"uc.micro": "^2.0.0" "uc.micro": "^2.0.0"
} }
}, },
"node_modules/linkifyjs": {
"version": "4.3.3",
"resolved": "https://registry.npmjs.org/linkifyjs/-/linkifyjs-4.3.3.tgz",
"integrity": "sha512-P8aEP5U/D1/IlTY2OeYsErdwh9bGuLE30NcXtKEjgdHcahveQoQwM2yZNsioQHsWFz0P7KKudisbrzCgR0sDHg==",
"license": "MIT"
},
"node_modules/lottie-web": {
"version": "5.13.0",
"resolved": "https://registry.npmjs.org/lottie-web/-/lottie-web-5.13.0.tgz",
"integrity": "sha512-+gfBXl6sxXMPe8tKQm7qzLnUy5DUPJPKIyRHwtpCpyUEYjHYRJC/5gjUvdkuO2c3JllrPtHXH5UJJK8LRYl5yQ==",
"license": "MIT"
},
"node_modules/lru-cache": { "node_modules/lru-cache": {
"version": "5.1.1", "version": "5.1.1",
"resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-5.1.1.tgz", "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-5.1.1.tgz",
@@ -2694,12 +3047,42 @@
"node": ">=18" "node": ">=18"
} }
}, },
"node_modules/nspell": {
"version": "2.1.5",
"resolved": "https://registry.npmjs.org/nspell/-/nspell-2.1.5.tgz",
"integrity": "sha512-PSStyugKMiD9mHmqI/CR5xXrSIGejUXPlo88FBRq5Og1kO5QwQ5Ilu8D8O5I/SHpoS+mibpw6uKA8rd3vXd2Sg==",
"license": "MIT",
"dependencies": {
"is-buffer": "^2.0.0"
}
},
"node_modules/obug": {
"version": "2.1.3",
"resolved": "https://registry.npmjs.org/obug/-/obug-2.1.3.tgz",
"integrity": "sha512-9miFgM2OFba7hB+pRgvtV84pYTBaoTHohvmIgiRt6dRIzbwEOIaNaP+dIlGs2fNFoB0SeISs0Jz5WFVRid6Xyg==",
"dev": true,
"funding": [
"https://github.com/sponsors/sxzz",
"https://opencollective.com/debug"
],
"license": "MIT",
"engines": {
"node": ">=12.20.0"
}
},
"node_modules/orderedmap": { "node_modules/orderedmap": {
"version": "2.1.1", "version": "2.1.1",
"resolved": "https://registry.npmjs.org/orderedmap/-/orderedmap-2.1.1.tgz", "resolved": "https://registry.npmjs.org/orderedmap/-/orderedmap-2.1.1.tgz",
"integrity": "sha512-TvAWxi0nDe1j/rtMcWcIj94+Ffe6n7zhow33h40SKxmsmozs6dz/e+EajymfoFcHd7sxNn8yHM8839uixMOV6g==", "integrity": "sha512-TvAWxi0nDe1j/rtMcWcIj94+Ffe6n7zhow33h40SKxmsmozs6dz/e+EajymfoFcHd7sxNn8yHM8839uixMOV6g==",
"license": "MIT" "license": "MIT"
}, },
"node_modules/pathe": {
"version": "2.0.3",
"resolved": "https://registry.npmjs.org/pathe/-/pathe-2.0.3.tgz",
"integrity": "sha512-WUjGcAqP1gQacoQe+OBJsFA7Ld4DyXuUIjZ5cc75cLHvJ7dtNsTugphxIADwspS+AraAUePCKrSVtPLFj/F88w==",
"dev": true,
"license": "MIT"
},
"node_modules/picocolors": { "node_modules/picocolors": {
"version": "1.1.1", "version": "1.1.1",
"resolved": "https://registry.npmjs.org/picocolors/-/picocolors-1.1.1.tgz", "resolved": "https://registry.npmjs.org/picocolors/-/picocolors-1.1.1.tgz",
@@ -3051,6 +3434,13 @@
"semver": "bin/semver.js" "semver": "bin/semver.js"
} }
}, },
"node_modules/siginfo": {
"version": "2.0.0",
"resolved": "https://registry.npmjs.org/siginfo/-/siginfo-2.0.0.tgz",
"integrity": "sha512-ybx0WO1/8bSBLEWXZvEd7gMW3Sn3JFlW3TvX1nREbDLRNQNaeNN8WK0meBwPdAaOI7TtRRRJn/Es1zhrrCHu7g==",
"dev": true,
"license": "ISC"
},
"node_modules/source-map-js": { "node_modules/source-map-js": {
"version": "1.2.1", "version": "1.2.1",
"resolved": "https://registry.npmjs.org/source-map-js/-/source-map-js-1.2.1.tgz", "resolved": "https://registry.npmjs.org/source-map-js/-/source-map-js-1.2.1.tgz",
@@ -3061,6 +3451,20 @@
"node": ">=0.10.0" "node": ">=0.10.0"
} }
}, },
"node_modules/stackback": {
"version": "0.0.2",
"resolved": "https://registry.npmjs.org/stackback/-/stackback-0.0.2.tgz",
"integrity": "sha512-1XMJE5fQo1jGH6Y/7ebnwPOBEkIEnT4QF32d5R1+VXdXveM0IBMJt8zfaxX1P3QhVwrYe+576+jkANtSS2mBbw==",
"dev": true,
"license": "MIT"
},
"node_modules/std-env": {
"version": "4.1.0",
"resolved": "https://registry.npmjs.org/std-env/-/std-env-4.1.0.tgz",
"integrity": "sha512-Rq7ybcX2RuC55r9oaPVEW7/xu3tj8u4GeBYHBWCychFtzMIr86A7e3PPEBPT37sHStKX3+TiX/Fr/ACmJLVlLQ==",
"dev": true,
"license": "MIT"
},
"node_modules/tailwindcss": { "node_modules/tailwindcss": {
"version": "4.3.1", "version": "4.3.1",
"resolved": "https://registry.npmjs.org/tailwindcss/-/tailwindcss-4.3.1.tgz", "resolved": "https://registry.npmjs.org/tailwindcss/-/tailwindcss-4.3.1.tgz",
@@ -3082,6 +3486,23 @@
"url": "https://opencollective.com/webpack" "url": "https://opencollective.com/webpack"
} }
}, },
"node_modules/tinybench": {
"version": "2.9.0",
"resolved": "https://registry.npmjs.org/tinybench/-/tinybench-2.9.0.tgz",
"integrity": "sha512-0+DUvqWMValLmha6lr4kD8iAMK1HzV0/aKnCtWb9v9641TnP/MFb7Pc2bxoxQjTXAErryXVgUOfv2YqNllqGeg==",
"dev": true,
"license": "MIT"
},
"node_modules/tinyexec": {
"version": "1.2.4",
"resolved": "https://registry.npmjs.org/tinyexec/-/tinyexec-1.2.4.tgz",
"integrity": "sha512-SHf/r48b7vOrjve9PxJo3MN5v5yuyjHvdUcrQffT3WXMUfnGmHDVbC4k3sHJaJTgZCwpUplIaAo5ANtMyp3YHg==",
"dev": true,
"license": "MIT",
"engines": {
"node": ">=18"
}
},
"node_modules/tinyglobby": { "node_modules/tinyglobby": {
"version": "0.2.17", "version": "0.2.17",
"resolved": "https://registry.npmjs.org/tinyglobby/-/tinyglobby-0.2.17.tgz", "resolved": "https://registry.npmjs.org/tinyglobby/-/tinyglobby-0.2.17.tgz",
@@ -3099,6 +3520,16 @@
"url": "https://github.com/sponsors/SuperchupuDev" "url": "https://github.com/sponsors/SuperchupuDev"
} }
}, },
"node_modules/tinyrainbow": {
"version": "3.1.0",
"resolved": "https://registry.npmjs.org/tinyrainbow/-/tinyrainbow-3.1.0.tgz",
"integrity": "sha512-Bf+ILmBgretUrdJxzXM0SgXLZ3XfiaUuOj/IKQHuTXip+05Xn+uyEYdVg0kYDipTBcLrCVyUzAPz7QmArb0mmw==",
"dev": true,
"license": "MIT",
"engines": {
"node": ">=14.0.0"
}
},
"node_modules/tippy.js": { "node_modules/tippy.js": {
"version": "6.3.7", "version": "6.3.7",
"resolved": "https://registry.npmjs.org/tippy.js/-/tippy.js-6.3.7.tgz", "resolved": "https://registry.npmjs.org/tippy.js/-/tippy.js-6.3.7.tgz",
@@ -3243,12 +3674,119 @@
} }
} }
}, },
"node_modules/vitest": {
"version": "4.1.9",
"resolved": "https://registry.npmjs.org/vitest/-/vitest-4.1.9.tgz",
"integrity": "sha512-nE3/LEyc0z87uHYLZebqCUOaJr2hdtuPp7BQ4BosVFnfltxgAvMG08NyrSGlPpOUWvR27c5flSmYFTNr78L9GQ==",
"dev": true,
"license": "MIT",
"dependencies": {
"@vitest/expect": "4.1.9",
"@vitest/mocker": "4.1.9",
"@vitest/pretty-format": "4.1.9",
"@vitest/runner": "4.1.9",
"@vitest/snapshot": "4.1.9",
"@vitest/spy": "4.1.9",
"@vitest/utils": "4.1.9",
"es-module-lexer": "^2.0.0",
"expect-type": "^1.3.0",
"magic-string": "^0.30.21",
"obug": "^2.1.1",
"pathe": "^2.0.3",
"picomatch": "^4.0.3",
"std-env": "^4.0.0-rc.1",
"tinybench": "^2.9.0",
"tinyexec": "^1.0.2",
"tinyglobby": "^0.2.15",
"tinyrainbow": "^3.1.0",
"vite": "^6.0.0 || ^7.0.0 || ^8.0.0",
"why-is-node-running": "^2.3.0"
},
"bin": {
"vitest": "vitest.mjs"
},
"engines": {
"node": "^20.0.0 || ^22.0.0 || >=24.0.0"
},
"funding": {
"url": "https://opencollective.com/vitest"
},
"peerDependencies": {
"@edge-runtime/vm": "*",
"@opentelemetry/api": "^1.9.0",
"@types/node": "^20.0.0 || ^22.0.0 || >=24.0.0",
"@vitest/browser-playwright": "4.1.9",
"@vitest/browser-preview": "4.1.9",
"@vitest/browser-webdriverio": "4.1.9",
"@vitest/coverage-istanbul": "4.1.9",
"@vitest/coverage-v8": "4.1.9",
"@vitest/ui": "4.1.9",
"happy-dom": "*",
"jsdom": "*",
"vite": "^6.0.0 || ^7.0.0 || ^8.0.0"
},
"peerDependenciesMeta": {
"@edge-runtime/vm": {
"optional": true
},
"@opentelemetry/api": {
"optional": true
},
"@types/node": {
"optional": true
},
"@vitest/browser-playwright": {
"optional": true
},
"@vitest/browser-preview": {
"optional": true
},
"@vitest/browser-webdriverio": {
"optional": true
},
"@vitest/coverage-istanbul": {
"optional": true
},
"@vitest/coverage-v8": {
"optional": true
},
"@vitest/ui": {
"optional": true
},
"happy-dom": {
"optional": true
},
"jsdom": {
"optional": true
},
"vite": {
"optional": false
}
}
},
"node_modules/w3c-keyname": { "node_modules/w3c-keyname": {
"version": "2.2.8", "version": "2.2.8",
"resolved": "https://registry.npmjs.org/w3c-keyname/-/w3c-keyname-2.2.8.tgz", "resolved": "https://registry.npmjs.org/w3c-keyname/-/w3c-keyname-2.2.8.tgz",
"integrity": "sha512-dpojBhNsCNN7T82Tm7k26A6G9ML3NkhDsnw9n/eoxSRlVBB4CEtIQ/KTCLI2Fwf3ataSXRhYFkQi3SlnFwPvPQ==", "integrity": "sha512-dpojBhNsCNN7T82Tm7k26A6G9ML3NkhDsnw9n/eoxSRlVBB4CEtIQ/KTCLI2Fwf3ataSXRhYFkQi3SlnFwPvPQ==",
"license": "MIT" "license": "MIT"
}, },
"node_modules/why-is-node-running": {
"version": "2.3.0",
"resolved": "https://registry.npmjs.org/why-is-node-running/-/why-is-node-running-2.3.0.tgz",
"integrity": "sha512-hUrmaWBdVDcxvYqnyh09zunKzROWjbZTiNy8dBEjkS7ehEDQibXJ7XvlmtbwuTclUiIyN+CyXQD4Vmko8fNm8w==",
"dev": true,
"license": "MIT",
"dependencies": {
"siginfo": "^2.0.0",
"stackback": "0.0.2"
},
"bin": {
"why-is-node-running": "cli.js"
},
"engines": {
"node": ">=8"
}
},
"node_modules/yallist": { "node_modules/yallist": {
"version": "3.1.1", "version": "3.1.1",
"resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz", "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz",

View File

@@ -6,26 +6,40 @@
"scripts": { "scripts": {
"dev": "vite", "dev": "vite",
"build": "tsc && vite build", "build": "tsc && vite build",
"preview": "vite preview" "preview": "vite preview",
"test": "vitest run",
"test:watch": "vitest"
}, },
"dependencies": { "dependencies": {
"react": "^19.1.0", "@tiptap/extension-character-count": "^2.11.5",
"react-dom": "^19.1.0", "@tiptap/extension-color": "^2.27.2",
"@tiptap/react": "^2.11.5", "@tiptap/extension-highlight": "^2.27.2",
"@tiptap/pm": "^2.11.5", "@tiptap/extension-image": "^2.27.2",
"@tiptap/starter-kit": "^2.11.5", "@tiptap/extension-link": "^2.27.2",
"@tiptap/extension-underline": "^2.11.5",
"@tiptap/extension-text-align": "^2.11.5",
"@tiptap/extension-placeholder": "^2.11.5", "@tiptap/extension-placeholder": "^2.11.5",
"@tiptap/extension-character-count": "^2.11.5" "@tiptap/extension-table": "^2.27.2",
"@tiptap/extension-table-cell": "^2.27.2",
"@tiptap/extension-table-header": "^2.27.2",
"@tiptap/extension-table-row": "^2.27.2",
"@tiptap/extension-text-align": "^2.11.5",
"@tiptap/extension-underline": "^2.11.5",
"@tiptap/pm": "^2.11.5",
"@tiptap/react": "^2.11.5",
"@tiptap/starter-kit": "^2.11.5",
"lottie-web": "^5.13.0",
"nspell": "^2.1.5",
"react": "^19.1.0",
"react-dom": "^19.1.0"
}, },
"devDependencies": { "devDependencies": {
"@tailwindcss/vite": "^4.0.0", "@tailwindcss/vite": "^4.0.0",
"@types/react": "^19.1.0", "@types/react": "^19.1.0",
"@types/react-dom": "^19.1.0", "@types/react-dom": "^19.1.0",
"@vitejs/plugin-react": "^4.3.4", "@vitejs/plugin-react": "^4.3.4",
"dictionary-en": "^4.0.0",
"tailwindcss": "^4.0.0", "tailwindcss": "^4.0.0",
"typescript": "^5.7.3", "typescript": "^5.7.3",
"vite": "^6.1.0" "vite": "^6.1.0",
"vitest": "^4.1.9"
} }
} }

View File

@@ -0,0 +1,347 @@
en_US Hunspell Dictionary
Version 2020.12.07
Mon Dec 7 20:14:35 2020 -0500 [5ef55f9]
http://wordlist.sourceforge.net
README file for English Hunspell dictionaries derived from SCOWL.
These dictionaries are created using the speller/make-hunspell-dict
script in SCOWL.
The following dictionaries are available:
en_US (American)
en_CA (Canadian)
en_GB-ise (British with "ise" spelling)
en_GB-ize (British with "ize" spelling)
en_AU (Australian)
en_US-large
en_CA-large
en_GB-large (with both "ise" and "ize" spelling)
en_AU-large
The normal (non-large) dictionaries correspond to SCOWL size 60 and,
to encourage consistent spelling, generally only include one spelling
variant for a word. The large dictionaries correspond to SCOWL size
70 and may include multiple spelling for a word when both variants are
considered almost equal. The larger dictionaries however (1) have not
been as carefully checked for errors as the normal dictionaries and
thus may contain misspelled or invalid words; and (2) contain
uncommon, yet valid, words that might cause problems as they are
likely to be misspellings of more common words (for example, "ort" and
"calender").
To get an idea of the difference in size, here are 25 random words
only found in the large dictionary for American English:
Bermejo Freyr's Guenevere Hatshepsut Nottinghamshire arrestment
crassitudes crural dogwatches errorless fetial flaxseeds godroon
incretion jalapeño's kelpie kishkes neuroglias pietisms pullulation
stemwinder stenoses syce thalassic zees
The en_US, en_CA and en_AU are the official dictionaries for Hunspell.
The en_GB and large dictionaries are made available on an experimental
basis. If you find them useful please send me a quick email at
kevina@gnu.org.
If none of these dictionaries suite you (for example, maybe you want
the normal dictionary that also includes common variants) additional
dictionaries can be generated at http://app.aspell.net/create or by
modifying speller/make-hunspell-dict in SCOWL. Please do let me know
if you end up publishing a customized dictionary.
If a word is not found in the dictionary or a word is there you think
shouldn't be, you can lookup the word up at http://app.aspell.net/lookup
to help determine why that is.
General comments on these list can be sent directly to me at
kevina@gnu.org or to the wordlist-devel mailing lists
(https://lists.sourceforge.net/lists/listinfo/wordlist-devel). If you
have specific issues with any of these dictionaries please file a bug
report at https://github.com/kevina/wordlist/issues.
IMPORTANT CHANGES INTRODUCED In 2016.11.20:
New Australian dictionaries thanks to the work of Benjamin Titze
(btitze@protonmail.ch).
IMPORTANT CHANGES INTRODUCED IN 2016.04.24:
The dictionaries are now in UTF-8 format instead of ISO-8859-1. This
was required to handle smart quotes correctly.
IMPORTANT CHANGES INTRODUCED IN 2016.01.19:
"SET UTF8" was changes to "SET UTF-8" in the affix file as some
versions of Hunspell do not recognize "UTF8".
ADDITIONAL NOTES:
The NOSUGGEST flag was added to certain taboo words. While I made an
honest attempt to flag the strongest taboo words with the NOSUGGEST
flag, I MAKE NO GUARANTEE THAT I FLAGGED EVERY POSSIBLE TABOO WORD.
The list was originally derived from Németh László, however I removed
some words which, while being considered taboo by some dictionaries,
are not really considered swear words in today's society.
COPYRIGHT, SOURCES, and CREDITS:
The English dictionaries come directly from SCOWL
and is thus under the same copyright of SCOWL. The affix file is
a heavily modified version of the original english.aff file which was
released as part of Geoff Kuenning's Ispell and as such is covered by
his BSD license. Part of SCOWL is also based on Ispell thus the
Ispell copyright is included with the SCOWL copyright.
The collective work is Copyright 2000-2018 by Kevin Atkinson as well
as any of the copyrights mentioned below:
Copyright 2000-2018 by Kevin Atkinson
Permission to use, copy, modify, distribute and sell these word
lists, the associated scripts, the output created from the scripts,
and its documentation for any purpose is hereby granted without fee,
provided that the above copyright notice appears in all copies and
that both that copyright notice and this permission notice appear in
supporting documentation. Kevin Atkinson makes no representations
about the suitability of this array for any purpose. It is provided
"as is" without express or implied warranty.
Alan Beale <biljir@pobox.com> also deserves special credit as he has,
in addition to providing the 12Dicts package and being a major
contributor to the ENABLE word list, given me an incredible amount of
feedback and created a number of special lists (those found in the
Supplement) in order to help improve the overall quality of SCOWL.
The 10 level includes the 1000 most common English words (according to
the Moby (TM) Words II [MWords] package), a subset of the 1000 most
common words on the Internet (again, according to Moby Words II), and
frequently class 16 from Brian Kelk's "UK English Wordlist
with Frequency Classification".
The MWords package was explicitly placed in the public domain:
The Moby lexicon project is complete and has
been place into the public domain. Use, sell,
rework, excerpt and use in any way on any platform.
Placing this material on internal or public servers is
also encouraged. The compiler is not aware of any
export restrictions so freely distribute world-wide.
You can verify the public domain status by contacting
Grady Ward
3449 Martha Ct.
Arcata, CA 95521-4884
grady@netcom.com
grady@northcoast.com
The "UK English Wordlist With Frequency Classification" is also in the
Public Domain:
Date: Sat, 08 Jul 2000 20:27:21 +0100
From: Brian Kelk <Brian.Kelk@cl.cam.ac.uk>
> I was wondering what the copyright status of your "UK English
> Wordlist With Frequency Classification" word list as it seems to
> be lacking any copyright notice.
There were many many sources in total, but any text marked
"copyright" was avoided. Locally-written documentation was one
source. An earlier version of the list resided in a filespace called
PUBLIC on the University mainframe, because it was considered public
domain.
Date: Tue, 11 Jul 2000 19:31:34 +0100
> So are you saying your word list is also in the public domain?
That is the intention.
The 20 level includes frequency classes 7-15 from Brian's word list.
The 35 level includes frequency classes 2-6 and words appearing in at
least 11 of 12 dictionaries as indicated in the 12Dicts package. All
words from the 12Dicts package have had likely inflections added via
my inflection database.
The 12Dicts package and Supplement is in the Public Domain.
The WordNet database, which was used in the creation of the
Inflections database, is under the following copyright:
This software and database is being provided to you, the LICENSEE,
by Princeton University under the following license. By obtaining,
using and/or copying this software and database, you agree that you
have read, understood, and will comply with these terms and
conditions.:
Permission to use, copy, modify and distribute this software and
database and its documentation for any purpose and without fee or
royalty is hereby granted, provided that you agree to comply with
the following copyright notice and statements, including the
disclaimer, and that the same appear on ALL copies of the software,
database and documentation, including modifications that you make
for internal use or for distribution.
WordNet 1.6 Copyright 1997 by Princeton University. All rights
reserved.
THIS SOFTWARE AND DATABASE IS PROVIDED "AS IS" AND PRINCETON
UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, PRINCETON
UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES OF MERCHANT-
ABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF THE
LICENSED SOFTWARE, DATABASE OR DOCUMENTATION WILL NOT INFRINGE ANY
THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER RIGHTS.
The name of Princeton University or Princeton may not be used in
advertising or publicity pertaining to distribution of the software
and/or database. Title to copyright in this software, database and
any associated documentation shall at all times remain with
Princeton University and LICENSEE agrees to preserve same.
The 40 level includes words from Alan's 3esl list found in version 4.0
of his 12dicts package. Like his other stuff the 3esl list is also in the
public domain.
The 50 level includes Brian's frequency class 1, words appearing
in at least 5 of 12 of the dictionaries as indicated in the 12Dicts
package, and uppercase words in at least 4 of the previous 12
dictionaries. A decent number of proper names is also included: The
top 1000 male, female, and Last names from the 1990 Census report; a
list of names sent to me by Alan Beale; and a few names that I added
myself. Finally a small list of abbreviations not commonly found in
other word lists is included.
The name files form the Census report is a government document which I
don't think can be copyrighted.
The file special-jargon.50 uses common.lst and word.lst from the
"Unofficial Jargon File Word Lists" which is derived from "The Jargon
File". All of which is in the Public Domain. This file also contain
a few extra UNIX terms which are found in the file "unix-terms" in the
special/ directory.
The 55 level includes words from Alan's 2of4brif list found in version
4.0 of his 12dicts package. Like his other stuff the 2of4brif is also
in the public domain.
The 60 level includes all words appearing in at least 2 of the 12
dictionaries as indicated by the 12Dicts package.
The 70 level includes Brian's frequency class 0 and the 74,550 common
dictionary words from the MWords package. The common dictionary words,
like those from the 12Dicts package, have had all likely inflections
added. The 70 level also included the 5desk list from version 4.0 of
the 12Dics package which is in the public domain.
The 80 level includes the ENABLE word list, all the lists in the
ENABLE supplement package (except for ABLE), the "UK Advanced Cryptics
Dictionary" (UKACD), the list of signature words from the YAWL package,
and the 10,196 places list from the MWords package.
The ENABLE package, mainted by M\Cooper <thegrendel@theriver.com>,
is in the Public Domain:
The ENABLE master word list, WORD.LST, is herewith formally released
into the Public Domain. Anyone is free to use it or distribute it in
any manner they see fit. No fee or registration is required for its
use nor are "contributions" solicited (if you feel you absolutely
must contribute something for your own peace of mind, the authors of
the ENABLE list ask that you make a donation on their behalf to your
favorite charity). This word list is our gift to the Scrabble
community, as an alternate to "official" word lists. Game designers
may feel free to incorporate the WORD.LST into their games. Please
mention the source and credit us as originators of the list. Note
that if you, as a game designer, use the WORD.LST in your product,
you may still copyright and protect your product, but you may *not*
legally copyright or in any way restrict redistribution of the
WORD.LST portion of your product. This *may* under law restrict your
rights to restrict your users' rights, but that is only fair.
UKACD, by J Ross Beresford <ross@bryson.demon.co.uk>, is under the
following copyright:
Copyright (c) J Ross Beresford 1993-1999. All Rights Reserved.
The following restriction is placed on the use of this publication:
if The UK Advanced Cryptics Dictionary is used in a software package
or redistributed in any form, the copyright notice must be
prominently displayed and the text of this document must be included
verbatim.
There are no other restrictions: I would like to see the list
distributed as widely as possible.
The 95 level includes the 354,984 single words, 256,772 compound
words, 4,946 female names and the 3,897 male names, and 21,986 names
from the MWords package, ABLE.LST from the ENABLE Supplement, and some
additional words found in my part-of-speech database that were not
found anywhere else.
Accent information was taken from UKACD.
The VarCon package was used to create the American, British, Canadian,
and Australian word list. It is under the following copyright:
Copyright 2000-2016 by Kevin Atkinson
Permission to use, copy, modify, distribute and sell this array, the
associated software, and its documentation for any purpose is hereby
granted without fee, provided that the above copyright notice appears
in all copies and that both that copyright notice and this permission
notice appear in supporting documentation. Kevin Atkinson makes no
representations about the suitability of this array for any
purpose. It is provided "as is" without express or implied warranty.
Copyright 2016 by Benjamin Titze
Permission to use, copy, modify, distribute and sell this array, the
associated software, and its documentation for any purpose is hereby
granted without fee, provided that the above copyright notice appears
in all copies and that both that copyright notice and this permission
notice appear in supporting documentation. Benjamin Titze makes no
representations about the suitability of this array for any
purpose. It is provided "as is" without express or implied warranty.
Since the original words lists come from the Ispell distribution:
Copyright 1993, Geoff Kuenning, Granada Hills, CA
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
1. Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
3. All modifications to the source code must be clearly marked as
such. Binary redistributions based on modified source code
must be clearly marked as modified versions in the documentation
and/or other materials provided with the distribution.
(clause 4 removed with permission from Geoff Kuenning)
5. The name of Geoff Kuenning may not be used to endorse or promote
products derived from this software without specific prior
written permission.
THIS SOFTWARE IS PROVIDED BY GEOFF KUENNING AND CONTRIBUTORS ``AS IS'' AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED. IN NO EVENT SHALL GEOFF KUENNING OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
SUCH DAMAGE.
Build Date: Mon Dec 7 20:19:27 EST 2020
Wordlist Command: mk-list --accents=strip en_US 60

View File

@@ -0,0 +1,205 @@
SET UTF-8
TRY esianrtolcdugmphbyfvkwzESIANRTOLCDUGMPHBYFVKWZ'
ICONV 1
ICONV '
NOSUGGEST !
# ordinal numbers
COMPOUNDMIN 1
# only in compounds: 1th, 2th, 3th
ONLYINCOMPOUND c
# compound rules:
# 1. [0-9]*1[0-9]th (10th, 11th, 12th, 56714th, etc.)
# 2. [0-9]*[02-9](1st|2nd|3rd|[4-9]th) (21st, 22nd, 123rd, 1234th, etc.)
COMPOUNDRULE 2
COMPOUNDRULE n*1t
COMPOUNDRULE n*mp
WORDCHARS 0123456789
PFX A Y 1
PFX A 0 re .
PFX I Y 1
PFX I 0 in .
PFX U Y 1
PFX U 0 un .
PFX C Y 1
PFX C 0 de .
PFX E Y 1
PFX E 0 dis .
PFX F Y 1
PFX F 0 con .
PFX K Y 1
PFX K 0 pro .
SFX V N 2
SFX V e ive e
SFX V 0 ive [^e]
SFX N Y 3
SFX N e ion e
SFX N y ication y
SFX N 0 en [^ey]
SFX X Y 3
SFX X e ions e
SFX X y ications y
SFX X 0 ens [^ey]
SFX H N 2
SFX H y ieth y
SFX H 0 th [^y]
SFX Y Y 1
SFX Y 0 ly .
SFX G Y 2
SFX G e ing e
SFX G 0 ing [^e]
SFX J Y 2
SFX J e ings e
SFX J 0 ings [^e]
SFX D Y 4
SFX D 0 d e
SFX D y ied [^aeiou]y
SFX D 0 ed [^ey]
SFX D 0 ed [aeiou]y
SFX T N 4
SFX T 0 st e
SFX T y iest [^aeiou]y
SFX T 0 est [aeiou]y
SFX T 0 est [^ey]
SFX R Y 4
SFX R 0 r e
SFX R y ier [^aeiou]y
SFX R 0 er [aeiou]y
SFX R 0 er [^ey]
SFX Z Y 4
SFX Z 0 rs e
SFX Z y iers [^aeiou]y
SFX Z 0 ers [aeiou]y
SFX Z 0 ers [^ey]
SFX S Y 4
SFX S y ies [^aeiou]y
SFX S 0 s [aeiou]y
SFX S 0 es [sxzh]
SFX S 0 s [^sxzhy]
SFX P Y 3
SFX P y iness [^aeiou]y
SFX P 0 ness [aeiou]y
SFX P 0 ness [^y]
SFX M Y 1
SFX M 0 's .
SFX B Y 3
SFX B 0 able [^aeiou]
SFX B 0 able ee
SFX B e able [^aeiou]e
SFX L Y 1
SFX L 0 ment .
REP 90
REP a ei
REP ei a
REP a ey
REP ey a
REP ai ie
REP ie ai
REP alot a_lot
REP are air
REP are ear
REP are eir
REP air are
REP air ere
REP ere air
REP ere ear
REP ere eir
REP ear are
REP ear air
REP ear ere
REP eir are
REP eir ere
REP ch te
REP te ch
REP ch ti
REP ti ch
REP ch tu
REP tu ch
REP ch s
REP s ch
REP ch k
REP k ch
REP f ph
REP ph f
REP gh f
REP f gh
REP i igh
REP igh i
REP i uy
REP uy i
REP i ee
REP ee i
REP j di
REP di j
REP j gg
REP gg j
REP j ge
REP ge j
REP s ti
REP ti s
REP s ci
REP ci s
REP k cc
REP cc k
REP k qu
REP qu k
REP kw qu
REP o eau
REP eau o
REP o ew
REP ew o
REP oo ew
REP ew oo
REP ew ui
REP ui ew
REP oo ui
REP ui oo
REP ew u
REP u ew
REP oo u
REP u oo
REP u oe
REP oe u
REP u ieu
REP ieu u
REP ue ew
REP ew ue
REP uff ough
REP oo ieu
REP ieu oo
REP ier ear
REP ear ier
REP ear air
REP air ear
REP w qu
REP qu w
REP z ss
REP ss z
REP shun tion
REP shun sion
REP shun cion
REP size cise

File diff suppressed because it is too large Load Diff

View File

@@ -1,45 +1,523 @@
import { useEffect, useState } from 'react' import { useCallback, useEffect, useRef, useState } from 'react'
import { api, type DocSummary, type Document, type Suggestion, type Tag, type TagColor } from './api/client'
import { useAutoSave } from './hooks/useAutoSave'
import { useCheckpoint } from './hooks/useCheckpoint'
import { useSpellChecker } from './hooks/useSpellChecker'
import { useTags } from './hooks/useTags'
import { DocList } from './components/DocList/DocList'
import { EditorCore, type EditorChange } from './components/Editor/EditorCore'
import { ToneSelect } from './components/Editor/ToneSelect'
import { ExportMenu } from './components/Export/ExportMenu'
import { HistoryPanel } from './components/History/HistoryPanel'
import { StatusBar } from './components/StatusBar/StatusBar'
import { PetalCompanion } from './components/Companion/PetalCompanion'
import { UpdateBanner } from './components/UpdateBanner/UpdateBanner'
import { useVersionWatch } from './hooks/useVersionWatch'
import { PetalFall } from './effects/PetalFall'
import { useNightMode } from './hooks/useNightMode'
import { playSuggestionSound } from './audio/sounds'
// Phase 0 placeholder: proves the stack end-to-end — React + Tailwind v4 tokens
// rendering, and the Go backend reachable via the /api proxy. Real UI lands in
// later phases (DocList, Editor, StatusBar).
export default function App() { export default function App() {
const [api, setApi] = useState<'checking' | 'ok' | 'down'>('checking') const updateAvailable = useVersionWatch()
// Late-night calm mode: dark theme + falling stars instead of petals. The hook
// toggles the `petal-night` class on <html>; we pass the flag to the ambient
// layer so the petals become stars.
const night = useNightMode()
const [docs, setDocs] = useState<DocSummary[]>([])
const [currentDoc, setCurrentDoc] = useState<Document | null>(null)
const [title, setTitle] = useState('')
const [wordCount, setWordCount] = useState(0)
// The current document's target tone (steers checkpoint advice) and its live
// plain text (drives the expanded writing-stats panel in the StatusBar).
const [tone, setTone] = useState('general')
const [docText, setDocText] = useState('')
const [ready, setReady] = useState(false)
// Distraction-free mode: entered on editor focus, collapses the doc-list
// sidebar. Escape or a click outside the editor canvas restores it.
const [focusMode, setFocusMode] = useState(false)
// Mobile drawer: below the tablet breakpoint the sidebar is an overlay toggled
// by the header hamburger. Ignored on wide screens (sidebar is always in-flow).
const [drawerOpen, setDrawerOpen] = useState(false)
const canvasRef = useRef<HTMLDivElement>(null)
// Monotonic counters the companion watches to react to writing + accepts.
const [editTick, setEditTick] = useState(0)
const [acceptTick, setAcceptTick] = useState(0)
// History drawer visibility, and an epoch bumped on restore to force the
// editor to remount with the restored content (its initialContent is read
// only on mount).
const [historyOpen, setHistoryOpen] = useState(false)
const [editorEpoch, setEditorEpoch] = useState(0)
useEffect(() => { // Live mirrors of the current doc's editable fields so the "discard blank
fetch('/api/health') // drafts on navigation" logic can read the latest values without rebuilding
.then((r) => setApi(r.ok ? 'ok' : 'down')) // callbacks on every keystroke.
.catch(() => setApi('down')) const currentDocRef = useRef(currentDoc)
const titleRef = useRef(title)
const wordCountRef = useRef(wordCount)
currentDocRef.current = currentDoc
titleRef.current = title
wordCountRef.current = wordCount
// A throwaway blank draft: no words and still the default/empty title. We
// delete these on navigation rather than leave orphan "Untitled" docs behind.
const isBlankDraft = useCallback(() => {
const t = titleRef.current.trim()
return wordCountRef.current === 0 && (t === '' || t === 'Untitled')
}, []) }, [])
const { status, schedule, saveNow } = useAutoSave(currentDoc?.id ?? null)
const {
suggestions,
checking,
voicing,
llmDown,
schedule: scheduleCheckpoint,
runVoice,
removeSuggestion,
} = useCheckpoint(currentDoc?.id ?? null)
// Browser-side spell checker — loads the en-US dictionary once per session.
const { checker: spellChecker, addWord } = useSpellChecker()
// The tag roster (with counts). Assignments live on the doc summaries below.
const { tags: tagRoster, refresh: refreshTags, createTag } = useTags()
// Patch a summary in the sidebar list (optimistic title / word-count updates).
const patchSummary = useCallback((id: string, patch: Partial<DocSummary>) => {
setDocs((prev) => prev.map((d) => (d.id === id ? { ...d, ...patch } : d)))
}, [])
// Attach or detach a tag on a document, updating the sidebar optimistically and
// refreshing the roster so its counts stay current. Tags are kept sorted by
// name to match the server's ordering.
const setDocTag = useCallback(
async (docId: string, tag: Tag, attach: boolean) => {
setDocs((prev) =>
prev.map((d) => {
if (d.id !== docId) return d
const without = d.tags.filter((t) => t.id !== tag.id)
const next = attach ? [...without, tag] : without
next.sort((a, b) => a.name.localeCompare(b.name, undefined, { sensitivity: 'base' }))
return { ...d, tags: next }
}),
)
try {
if (attach) await api.assignTag(docId, tag.id)
else await api.unassignTag(docId, tag.id)
void refreshTags()
} catch (err) {
console.error('tag assignment failed', err)
void refreshTags()
}
},
[refreshTags],
)
const handleToggleTag = useCallback(
(docId: string, tag: Tag) => {
const doc = docs.find((d) => d.id === docId)
const has = doc?.tags.some((t) => t.id === tag.id) ?? false
void setDocTag(docId, tag, !has)
},
[docs, setDocTag],
)
const handleCreateTag = useCallback(
async (docId: string, name: string, color: TagColor) => {
const tag = await createTag(name, color)
if (tag) void setDocTag(docId, tag, true)
},
[createTag, setDocTag],
)
const openDoc = useCallback(
async (id: string) => {
setDrawerOpen(false) // close the mobile drawer when a doc is chosen
// Decide the leaving doc's fate before any await mutates state.
const leaving = currentDocRef.current
const leavingBlank = isBlankDraft()
await saveNow() // flush any pending edits to the doc we're leaving
const doc = await api.getDoc(id)
setCurrentDoc(doc)
setTitle(doc.title)
setWordCount(doc.word_count)
setTone(doc.tone || 'general')
setDocText(doc.content_text)
// Leaving an untouched blank draft for a different doc? Drop it silently
// (best-effort cleanup — a 404 just means it's already gone).
if (leaving && leaving.id !== id && leavingBlank) {
api.deleteDoc(leaving.id).catch(() => {})
setDocs((prev) => prev.filter((d) => d.id !== leaving.id))
}
},
[saveNow, isBlankDraft],
)
// Initial load: fetch the list, opening the first doc (or creating one).
const bootedRef = useRef(false)
useEffect(() => {
if (bootedRef.current) return
bootedRef.current = true
;(async () => {
try {
let list = await api.listDocs()
if (list.length === 0) {
const fresh = await api.createDoc()
list = [{ id: fresh.id, title: fresh.title, word_count: 0, updated_at: fresh.updated_at, tags: [] }]
setDocs(list)
setCurrentDoc(fresh)
setTitle(fresh.title)
setWordCount(0)
setTone(fresh.tone || 'general')
setDocText('')
} else {
setDocs(list)
await openDoc(list[0].id)
}
} catch (err) {
console.error('failed to load documents', err)
} finally {
setReady(true)
}
})()
}, [openDoc])
const handleCreate = useCallback(async () => {
// Already sitting on a fresh blank draft? Reuse it instead of stacking
// another empty "Untitled" on top.
if (currentDocRef.current && isBlankDraft()) return
await saveNow()
const fresh = await api.createDoc()
setDocs((prev) => [
{ id: fresh.id, title: fresh.title, word_count: 0, updated_at: fresh.updated_at, tags: [] },
...prev,
])
setCurrentDoc(fresh)
setTitle(fresh.title)
setWordCount(0)
setTone(fresh.tone || 'general')
setDocText('')
}, [saveNow, isBlankDraft])
// Duplicate a document: copy its body/tone into a fresh doc titled "… (副本)",
// then open the copy. Tags aren't carried over (a fresh start for the copy).
const handleDuplicate = useCallback(
async (id: string) => {
try {
await saveNow() // flush in case we're duplicating the open doc
const src = await api.getDoc(id)
const fresh = await api.createDoc()
const dupTitle = `${src.title?.trim() || 'Untitled'} (副本)`
const updated = await api.updateDoc(fresh.id, {
title: dupTitle,
content: src.content,
content_text: src.content_text,
tone: src.tone,
word_count: src.word_count,
})
setDocs((prev) => [
{ id: updated.id, title: updated.title, word_count: updated.word_count, updated_at: updated.updated_at, tags: [] },
...prev,
])
setCurrentDoc(updated)
setTitle(updated.title)
setWordCount(updated.word_count)
setTone(updated.tone || 'general')
setDocText(updated.content_text)
} catch (err) {
console.error('duplicate failed', err)
}
},
[saveNow],
)
const handleDelete = useCallback(
async (id: string) => {
await api.deleteDoc(id)
setDocs((prev) => {
const remaining = prev.filter((d) => d.id !== id)
if (currentDoc?.id === id) {
if (remaining.length > 0) {
void openDoc(remaining[0].id)
} else {
setCurrentDoc(null)
setTitle('')
setWordCount(0)
setTone('general')
setDocText('')
}
}
return remaining
})
},
[currentDoc, openDoc],
)
const handleTitleChange = useCallback(
(value: string) => {
setTitle(value)
if (currentDoc) {
patchSummary(currentDoc.id, { title: value })
schedule({ title: value })
}
},
[currentDoc, patchSummary, schedule],
)
const handleEditorChange = useCallback(
(change: EditorChange) => {
setWordCount(change.word_count)
setDocText(change.content_text)
setEditTick((n) => n + 1)
if (currentDoc) {
patchSummary(currentDoc.id, { word_count: change.word_count })
schedule(change)
scheduleCheckpoint()
}
},
[currentDoc, patchSummary, schedule, scheduleCheckpoint],
)
// Changing the tone persists it and re-runs the checkpoint so Petal's advice
// re-tunes to the new register. The auto-save (1.5s) lands before the
// checkpoint debounce (4s), so the server reads the updated tone.
const handleToneChange = useCallback(
(value: string) => {
setTone(value)
if (currentDoc) {
schedule({ tone: value })
scheduleCheckpoint()
}
},
[currentDoc, schedule, scheduleCheckpoint],
)
// Accept applies the replacement in the editor (handled in EditorCore) and
// marks the suggestion accepted; dismiss just rejects it. Both drop it locally.
const handleAccept = useCallback(
async (s: Suggestion) => {
removeSuggestion(s.id)
setAcceptTick((n) => n + 1)
try {
await api.acceptSuggestion(s.id)
} catch (err) {
console.error('accept failed', err)
}
},
[removeSuggestion],
)
// After restoring a version, swap the restored doc into the editor. Bumping
// editorEpoch remounts EditorCore so it picks up the restored content.
const handleRestored = useCallback(
(doc: Document) => {
setCurrentDoc(doc)
setTitle(doc.title)
setWordCount(doc.word_count)
setTone(doc.tone || 'general')
setDocText(doc.content_text)
patchSummary(doc.id, { title: doc.title, word_count: doc.word_count })
setEditorEpoch((n) => n + 1)
},
[patchSummary],
)
// Escape always restores the sidebar while in distraction-free mode.
useEffect(() => {
if (!focusMode) return
const onKey = (e: KeyboardEvent) => {
if (e.key === 'Escape') setFocusMode(false)
}
window.addEventListener('keydown', onKey)
return () => window.removeEventListener('keydown', onKey)
}, [focusMode])
// A pointer-down outside the centered editor canvas (the cream gutters, the
// header, the status bar) also restores the sidebar.
const handleChromeDown = useCallback((e: React.MouseEvent) => {
if (!canvasRef.current?.contains(e.target as Node)) setFocusMode(false)
}, [])
const handleDismiss = useCallback(
async (s: Suggestion) => {
removeSuggestion(s.id)
try {
await api.dismissSuggestion(s.id)
} catch (err) {
console.error('dismiss failed', err)
}
},
[removeSuggestion],
)
// Play a soft sound when freshly-checked suggestions arrive — one per distinct
// new type, lightly staggered so a batch reads as a little melody rather than
// a pile-up. We track which ids we've already chimed for, and only chime for
// recently-created suggestions so opening a doc with old pending advice stays
// silent (the existing set was created in a past session).
const chimedRef = useRef<Set<string>>(new Set())
useEffect(() => {
const fresh = suggestions.filter((s) => !chimedRef.current.has(s.id))
fresh.forEach((s) => chimedRef.current.add(s.id))
const justMade = fresh.filter(
(s) => Date.now() - new Date(s.created_at).getTime() < 12_000,
)
if (justMade.length === 0) return
const types = [...new Set(justMade.map((s) => s.type))].slice(0, 3)
const timers = types.map((t, i) =>
window.setTimeout(() => playSuggestionSound(t), i * 150),
)
return () => timers.forEach((id) => window.clearTimeout(id))
}, [suggestions])
// Forget chimed ids when switching documents so the set can't grow unbounded.
useEffect(() => {
chimedRef.current = new Set()
}, [currentDoc?.id])
return ( return (
<div className="flex h-full flex-col items-center justify-center gap-6 px-6 text-center"> <div className="flex h-full flex-col">
<div <PetalFall night={night} />
className="flex flex-col items-center gap-3 bg-surface px-12 py-10" <header
style={{ borderRadius: 'var(--radius-card)', boxShadow: 'var(--shadow-soft)' }} onMouseDown={handleChromeDown}
className="petal-no-print flex h-12 shrink-0 items-center gap-2 px-5"
style={{ borderBottom: '1px solid var(--color-border)' }}
> >
<span className="text-5xl">🌸</span> <button
<h1 className="text-3xl font-extrabold text-plum">Petal</h1> type="button"
<p className="max-w-xs text-muted" style={{ fontFamily: 'var(--font-body)' }}> aria-label="Toggle document list"
A cozy place to write. onClick={() => {
</p> setFocusMode(false)
<span setDrawerOpen((v) => !v)
className="mt-2 inline-flex items-center gap-2 px-4 py-1.5 text-sm font-semibold" }}
style={{ borderRadius: 'var(--radius-pill)', background: 'var(--color-surface-alt)' }} className="petal-sidebar-toggle petal-tap-sm -ml-2 mr-1 items-center justify-center text-xl"
style={{ borderRadius: 'var(--radius-pill)', width: 36, height: 36, color: 'var(--color-plum)' }}
> >
<span
className="inline-block h-2 w-2 rounded-full" </button>
style={{ <span className="text-xl">🌸</span>
background: <span className="text-lg font-extrabold text-plum">Petal</span>
api === 'ok' </header>
? 'var(--color-success)'
: api === 'down' <div className="relative flex min-h-0 flex-1">
? 'var(--color-accent)' <div
: 'var(--color-muted)', className={`petal-no-print petal-sidebar shrink-0${focusMode ? ' petal-sidebar-hidden' : ''}${drawerOpen ? ' petal-drawer-open' : ''}`}
}} >
<DocList
docs={docs}
roster={tagRoster}
selectedId={currentDoc?.id ?? null}
onSelect={openDoc}
onCreate={handleCreate}
onDelete={handleDelete}
onDuplicate={handleDuplicate}
onToggleTag={handleToggleTag}
onCreateTag={handleCreateTag}
/> />
{api === 'checking' ? 'Checking backend…' : api === 'ok' ? 'Backend connected' : 'Backend offline'} </div>
</span>
<div
className={`petal-no-print petal-scrim${drawerOpen ? ' petal-scrim-show' : ''}`}
onClick={() => setDrawerOpen(false)}
aria-hidden
/>
<main className="flex min-w-0 flex-1 flex-col">
{currentDoc ? (
<>
<div
onMouseDown={handleChromeDown}
className="flex flex-1 flex-col overflow-y-auto px-6 py-8"
>
<div ref={canvasRef} className="mx-auto flex w-full max-w-[720px] flex-1 flex-col">
<div className="mb-5 flex items-center gap-3">
<input
value={title}
onChange={(e) => handleTitleChange(e.target.value)}
placeholder="Untitled"
aria-label="Document title"
className="min-w-0 flex-1 bg-transparent text-3xl font-extrabold text-plum focus:outline-none"
style={{ fontFamily: 'var(--font-ui)' }}
/>
<div className="petal-no-print shrink-0">
<ToneSelect value={tone} onChange={handleToneChange} />
</div>
<button
type="button"
onClick={() => setHistoryOpen(true)}
aria-label="Version history"
title="Browse and restore earlier versions"
className="petal-no-print inline-flex h-9 shrink-0 items-center gap-1.5 whitespace-nowrap px-3 text-sm font-bold"
style={{
borderRadius: 'var(--radius-pill)',
background: 'var(--color-surface)',
color: 'var(--color-plum)',
boxShadow: 'var(--shadow-soft)',
}}
>
<span aria-hidden>🕘</span>
<span></span>
<span style={{ color: 'var(--color-muted)' }}>· History</span>
</button>
<div className="petal-no-print">
<ExportMenu docId={currentDoc.id} />
</div>
</div>
<EditorCore
key={`${currentDoc.id}:${editorEpoch}`}
docId={currentDoc.id}
initialContent={currentDoc.content}
onChange={handleEditorChange}
suggestions={suggestions}
onAccept={handleAccept}
onDismiss={handleDismiss}
onVoiceCheck={runVoice}
voicing={voicing}
onFocusMode={() => setFocusMode(true)}
spellChecker={spellChecker}
onAddWord={addWord}
/>
</div>
</div>
<div className="petal-no-print" onMouseDown={handleChromeDown}>
<StatusBar
wordCount={wordCount}
text={docText}
saveStatus={status}
checking={checking}
voicing={voicing}
llmDown={llmDown}
/>
</div>
</>
) : (
<div
className="flex flex-1 items-center justify-center text-sm"
style={{ color: 'var(--color-muted)' }}
>
{ready ? 'Create a document to start writing.' : 'Loading…'}
</div>
)}
</main>
</div>
{historyOpen && currentDoc && (
<HistoryPanel
docId={currentDoc.id}
onClose={() => setHistoryOpen(false)}
onRestored={handleRestored}
/>
)}
{updateAvailable && <UpdateBanner />}
<div className="petal-no-print">
<PetalCompanion
wordCount={wordCount}
saveStatus={status}
llmDown={llmDown}
editTick={editTick}
acceptTick={acceptTick}
text={docText}
/>
</div> </div>
</div> </div>
) )

336
web/src/api/client.ts Normal file
View File

@@ -0,0 +1,336 @@
// Thin fetch wrappers for the Petal backend. Everything lives under /api, which
// Vite proxies to the Go server in dev and the binary serves directly in prod.
// A tag's palette key, mapped to a CSS color on the frontend. Mirrors the
// backend TagColor* constants; unknown values render as rose.
export type TagColor = 'rose' | 'mint' | 'peach' | 'lavender' | 'sky' | 'honey'
export interface Tag {
id: string
name: string
color: TagColor
doc_count?: number // present only in the tag-roster listing
}
export interface DocSummary {
id: string
title: string
word_count: number
updated_at: string
tags: Tag[]
}
// One cross-document search hit. `snippet` is plain text with the matched span
// wrapped in the  sentinels (see splitSnippet) for highlighting.
export interface SearchResult {
id: string
title: string
word_count: number
updated_at: string
snippet: string
tags: Tag[]
}
export interface Document {
id: string
user_id: string
title: string
content: string // Tiptap JSON (stringified)
content_text: string // flattened plain text
tone: string // target writing tone; steers LLM advice
word_count: number
created_at: string
updated_at: string
}
// Fields the editor sends on auto-save. All optional so a rename can send title
// alone; the editor sends the full set.
export interface DocUpdate {
title?: string
content?: string
content_text?: string
tone?: string
word_count?: number
}
// One sense of a word from the offline dictionary.
export interface WordMeaning {
part_of_speech: string
definition: string
example?: string
}
// The offline lookup for one word: a Chinese gloss, a few definition senses, and
// a list of synonyms. Any of these may be empty when the word isn't a headword.
export interface WordInfo {
word: string
gloss: string // Chinese translation; '' when the word isn't in the gloss set
phonetic: string // IPA for the English word; '' when absent
definitions: WordMeaning[]
synonyms: string[]
}
// The lightweight Chinese-only gloss behind the inline hover/select tooltip.
export interface Gloss {
word: string
gloss: string
}
export type SuggestionType = 'grammar' | 'phrasing' | 'idiom' | 'clarity' | 'voice'
// A point-in-time snapshot of a document. List responses omit the heavy
// content/content_text fields; they arrive only on getVersion (preview/restore).
export interface DocumentVersion {
id: string
doc_id: string
title: string
content?: string
content_text?: string
word_count: number
kind: 'auto' | 'manual' | 'pre_restore'
created_at: string
}
// Downloadable export formats. PDF is handled client-side via the browser's
// print dialog (CJK-safe, no server-side font embedding).
export type ExportFormat = 'md' | 'html' | 'txt' | 'docx'
// A single LLM-proposed edit. `original` is the source of truth for placement —
// the editor re-anchors by matching this string in the live document (spec
// Note #6); from_pos/to_pos are server-side advisory only. `replacement` is
// empty for voice flags (awareness-only, no correction to apply).
export interface Suggestion {
id: string
doc_id: string
from_pos: number
to_pos: number
original: string
replacement: string
explanation: string
type: SuggestionType
status: 'pending' | 'accepted' | 'rejected'
created_at: string
}
async function req<T>(path: string, init?: RequestInit): Promise<T> {
const res = await fetch(`/api${path}`, {
headers: { 'Content-Type': 'application/json' },
...init,
})
if (!res.ok) {
const detail = await res.text().catch(() => '')
throw new Error(`${res.status} ${res.statusText}${detail ? `: ${detail}` : ''}`)
}
if (res.status === 204) return undefined as T
return res.json() as Promise<T>
}
export const api = {
listDocs: () => req<DocSummary[]>('/docs'),
createDoc: () => req<Document>('/docs', { method: 'POST' }),
getDoc: (id: string) => req<Document>(`/docs/${id}`),
updateDoc: (id: string, body: DocUpdate) =>
req<Document>(`/docs/${id}`, { method: 'PUT', body: JSON.stringify(body) }),
deleteDoc: (id: string) => req<void>(`/docs/${id}`, { method: 'DELETE' }),
// Grammar checkpoint: runs an LLM pass and returns the fresh pending set.
// Rate-limited per document server-side (returns the existing set if too soon).
// Both passes return the UNIFIED pending set (grammar + voice), so the client
// never drops one family's highlights when the other refreshes.
checkDoc: (id: string) => req<Suggestion[]>(`/docs/${id}/check`, { method: 'POST' }),
// Voice-consistency pass: whole-document, explicit-action, slower. Returns the
// unified pending set too. Rate-limited per document server-side.
voiceDoc: (id: string) => req<Suggestion[]>(`/docs/${id}/voice`, { method: 'POST' }),
// Pending suggestions for a doc, loaded when the editor opens it.
listSuggestions: (id: string) => req<Suggestion[]>(`/docs/${id}/suggestions`),
acceptSuggestion: (id: string) =>
req<void>(`/suggestions/${id}/accept`, { method: 'POST' }),
dismissSuggestion: (id: string) =>
req<void>(`/suggestions/${id}/dismiss`, { method: 'POST' }),
// Simplified-Chinese rendering of a suggestion's explanation, for the Ask Petal
// opening bubble (the explanation itself stays English in the card body).
translateSuggestion: (id: string) =>
req<{ translation: string }>(`/suggestions/${id}/translate`, { method: 'POST' }),
// Version history. listVersions returns metadata only (no bodies); getVersion
// loads one full snapshot for preview; snapshotDoc takes an explicit restore
// point; restoreVersion copies a snapshot back onto the live doc (capturing a
// pre_restore safety copy server-side first) and returns the restored doc.
listVersions: (id: string) => req<DocumentVersion[]>(`/docs/${id}/versions`),
getVersion: (id: string, vid: string) =>
req<DocumentVersion>(`/docs/${id}/versions/${vid}`),
snapshotDoc: (id: string) =>
req<DocumentVersion>(`/docs/${id}/versions`, { method: 'POST' }),
restoreVersion: (id: string, vid: string) =>
req<Document>(`/docs/${id}/versions/${vid}/restore`, { method: 'POST' }),
// Download URL for an exported document (md/html/txt/docx). Used as an <a
// href download> target so the browser handles the file save.
exportUrl: (id: string, format: ExportFormat) =>
`/api/docs/${id}/export?format=${format}`,
// Download URL for a whole-corpus backup: a zip of every document rendered in
// the given format. A one-click "download all my writing" safety net.
exportAllUrl: (format: ExportFormat) => `/api/docs/export-all?format=${format}`,
// Offline word lookup (gloss + definition + synonyms) for the right-click popover.
lookupWord: (word: string) => req<WordInfo>(`/word/${encodeURIComponent(word)}`),
// Lightweight Chinese-only gloss for the inline hover/select tooltip — instant
// and offline, so it fires on hover without spinning up the heavier lookup.
glossWord: (word: string) => req<Gloss>(`/gloss/${encodeURIComponent(word)}`),
// Tone-rewrite: rewrites a selected passage in the given style ('natural',
// 'academic', …) and returns the rewritten text for an in-editor preview. Not
// persisted — the editor applies it directly on accept.
rewriteSelection: (docId: string, text: string, style: string) =>
req<{ rewrite: string }>(`/docs/${docId}/rewrite`, {
method: 'POST',
body: JSON.stringify({ text, style }),
}),
// Cross-document full-text search (title + body). Returns hits with a
// highlighted snippet. Empty query returns []. Encodes the term for the URL.
search: (q: string) => req<SearchResult[]>(`/search?q=${encodeURIComponent(q)}`),
// Image upload: posts a single image file as multipart form data and returns
// its served URL (e.g. /api/images/<hash>.png). Stored on disk by the binary,
// so the document JSON keeps a small URL reference instead of inlined base64.
// Doesn't go through req() because the body is FormData, not JSON.
uploadImage: async (file: File): Promise<{ url: string }> => {
const form = new FormData()
form.append('image', file)
const res = await fetch('/api/images', { method: 'POST', body: form })
if (!res.ok) {
const detail = await res.text().catch(() => '')
throw new Error(`${res.status} ${res.statusText}${detail ? `: ${detail}` : ''}`)
}
return res.json() as Promise<{ url: string }>
},
// Tags. listTags returns the roster with per-tag document counts; createTag is
// idempotent on name (returns the existing tag if it already exists);
// updateTag recolors/renames; deleteTag removes it (assignments cascade).
// assignTag/unassignTag link a tag to one document.
listTags: () => req<Tag[]>('/tags'),
createTag: (name: string, color: TagColor) =>
req<Tag>('/tags', { method: 'POST', body: JSON.stringify({ name, color }) }),
updateTag: (id: string, patch: { name?: string; color?: TagColor }) =>
req<Tag>(`/tags/${id}`, { method: 'PATCH', body: JSON.stringify(patch) }),
deleteTag: (id: string) => req<void>(`/tags/${id}`, { method: 'DELETE' }),
assignTag: (docId: string, tagId: string) =>
req<void>(`/docs/${docId}/tags`, { method: 'POST', body: JSON.stringify({ tag_id: tagId }) }),
unassignTag: (docId: string, tagId: string) =>
req<void>(`/docs/${docId}/tags/${tagId}`, { method: 'DELETE' }),
// Current deployed build id — changes whenever a new frontend ships. The
// app polls this to offer a refresh. Bypasses any cache so the answer is live.
version: () => req<{ version: string }>('/version', { cache: 'no-store' }),
}
// The sentinel characters the server wraps a search match in (\x01 … \x02). Used
// by splitSnippet to render the matched span highlighted.
export const SNIPPET_HL_START = String.fromCharCode(1)
export const SNIPPET_HL_END = String.fromCharCode(2)
// splitSnippet breaks a server snippet into ordered { text, hit } segments so the
// UI can bold the matched span(s) without dangerously setting innerHTML.
export function splitSnippet(snippet: string): { text: string; hit: boolean }[] {
const out: { text: string; hit: boolean }[] = []
let rest = snippet
for (;;) {
const start = rest.indexOf(SNIPPET_HL_START)
if (start < 0) {
if (rest) out.push({ text: rest, hit: false })
break
}
if (start > 0) out.push({ text: rest.slice(0, start), hit: false })
const end = rest.indexOf(SNIPPET_HL_END, start + 1)
if (end < 0) {
// Unterminated (shouldn't happen) — emit the remainder plainly.
out.push({ text: rest.slice(start + 1), hit: false })
break
}
out.push({ text: rest.slice(start + 1, end), hit: true })
rest = rest.slice(end + 1)
}
return out
}
// tagColorVar maps a tag color key to its CSS custom property. Unknown keys fall
// back to the rose accent, matching the backend's coercion.
export function tagColorVar(color: TagColor | string): string {
switch (color) {
case 'mint':
return 'var(--color-mint)'
case 'peach':
return 'var(--color-peach)'
case 'lavender':
return 'var(--color-lavender)'
case 'sky':
return 'var(--color-sky)'
case 'honey':
return 'var(--color-honey)'
default:
return 'var(--color-accent)'
}
}
// One turn in an Ask Petal conversation. History lives only in the component —
// the server is stateless and re-injects the suggestion context every request.
export interface ChatMessage {
role: 'user' | 'assistant'
content: string
}
// streamSuggestionChat POSTs the conversation to the SSE chat endpoint and
// invokes onToken for each text chunk as it arrives. It uses fetch + a
// ReadableStream reader (not EventSource, which can't POST) and resolves when
// the stream ends. Abort via the optional signal to cancel mid-response.
export async function streamSuggestionChat(
suggestionId: string,
messages: ChatMessage[],
onToken: (text: string) => void,
signal?: AbortSignal,
): Promise<void> {
const res = await fetch(`/api/suggestions/${suggestionId}/chat`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ messages }),
signal,
})
if (!res.ok || !res.body) {
const detail = await res.text().catch(() => '')
throw new Error(`${res.status} ${res.statusText}${detail ? `: ${detail}` : ''}`)
}
const reader = res.body.getReader()
const decoder = new TextDecoder()
let buf = ''
for (;;) {
const { done, value } = await reader.read()
if (done) break
buf += decoder.decode(value, { stream: true })
// SSE events are separated by a blank line. Process every complete one and
// keep the trailing partial in the buffer.
let sep: number
while ((sep = buf.indexOf('\n\n')) >= 0) {
const event = parseSSE(buf.slice(0, sep))
buf = buf.slice(sep + 2)
if (event.name === 'done') return
if (event.name === 'token' && event.data) {
const text = (JSON.parse(event.data) as { text: string }).text
if (text) onToken(text)
}
}
}
}
// parseSSE pulls the event name and data payload out of one raw SSE frame.
function parseSSE(frame: string): { name: string; data: string } {
let name = 'message'
const dataLines: string[] = []
for (const line of frame.split('\n')) {
if (line.startsWith('event:')) name = line.slice(6).trim()
else if (line.startsWith('data:')) dataLines.push(line.slice(5).trim())
}
return { name, data: dataLines.join('\n') }
}

Binary file not shown.

Binary file not shown.

Binary file not shown.

Binary file not shown.

Binary file not shown.

Binary file not shown.

Binary file not shown.

194
web/src/audio/sounds.ts Normal file
View File

@@ -0,0 +1,194 @@
// Petal's cute sound palette. These are hand-picked mp3 effects (warm bubble
// pops, a wooden "tok", rolling baoding balls, a Chinese fanfare for milestones,
// and a playful "haiya" for errors) living as assets in ./assets/sounds. Vite
// fingerprints and bundles them into dist, so they ride along inside the single
// Go binary; here we just fetch + decode them once and play them through a Web
// Audio bus with a soft master volume. The whole thing is opt-out-able and the
// mute choice persists in localStorage so it survives reloads.
import pop1Url from '../assets/sounds/pop1.mp3'
import pop2Url from '../assets/sounds/pop2.mp3'
import tokUrl from '../assets/sounds/tok.mp3'
import blockUrl from '../assets/sounds/block.mp3'
import baodingUrl from '../assets/sounds/baoding.mp3'
import milestoneUrl from '../assets/sounds/milestone.mp3'
import errorUrl from '../assets/sounds/error.mp3'
const STORAGE_KEY = 'petal.sound'
// Master volume — deliberately gentle. These are background delights, not alerts.
const MASTER_GAIN = 0.5
export type SoundName =
| 'pop1' // a soft bubble pop
| 'pop2' // a second bubble pop, slightly different
| 'tok' // a light wooden "tok"
| 'block' // a quick Chinese wood-block tap
| 'baoding' // rolling baoding-ball shimmer
| 'milestone' // a happy Chinese fanfare (word-count milestones)
| 'error' // a playful "haiya" — something went wrong
const SOURCES: Record<SoundName, string> = {
pop1: pop1Url,
pop2: pop2Url,
tok: tokUrl,
block: blockUrl,
baoding: baodingUrl,
milestone: milestoneUrl,
error: errorUrl,
}
// The pool of light "something happened" notification sounds. We rotate through
// these (skipping the one just played) so the same blip never repeats back to
// back — a batch of suggestions or a run of tips stays lively instead of
// hammering one note. milestone/error are deliberately NOT in the pool: they're
// reserved for their specific moments.
const POP_POOL: SoundName[] = ['pop1', 'pop2', 'tok', 'block', 'baoding']
let lastPop = -1
let ctx: AudioContext | null = null
let master: GainNode | null = null
const buffers = new Map<SoundName, AudioBuffer>()
let enabled = readEnabled()
const listeners = new Set<(on: boolean) => void>()
function readEnabled(): boolean {
try {
return localStorage.getItem(STORAGE_KEY) !== 'off'
} catch {
return true
}
}
export function isSoundEnabled(): boolean {
return enabled
}
export function setSoundEnabled(on: boolean): void {
enabled = on
try {
localStorage.setItem(STORAGE_KEY, on ? 'on' : 'off')
} catch {
/* private mode — choice just won't persist */
}
listeners.forEach((fn) => fn(on))
// Touching the context on enable doubles as a user-gesture unlock + warm-up.
if (on) void ensureContext()
}
export function onSoundEnabledChange(fn: (on: boolean) => void): () => void {
listeners.add(fn)
return () => listeners.delete(fn)
}
// Lazily create the AudioContext (browsers require a user gesture before audio
// can play; the first play() after a click will succeed, earlier ones resume).
async function ensureContext(): Promise<AudioContext | null> {
if (typeof window === 'undefined') return null
const AC: typeof AudioContext | undefined =
window.AudioContext ??
(window as unknown as { webkitAudioContext?: typeof AudioContext }).webkitAudioContext
if (!AC) return null
if (!ctx) {
ctx = new AC()
master = ctx.createGain()
master.gain.value = MASTER_GAIN
// A gentle soft-clip so stacked sounds never crackle.
const shaper = ctx.createWaveShaper()
shaper.curve = softClipCurve()
master.connect(shaper)
shaper.connect(ctx.destination)
}
if (ctx.state === 'suspended') {
try {
await ctx.resume()
} catch {
/* will retry on the next gesture */
}
}
return ctx
}
function softClipCurve(): Float32Array<ArrayBuffer> {
const n = 1024
const curve = new Float32Array(new ArrayBuffer(n * 4))
for (let i = 0; i < n; i++) {
const x = (i / (n - 1)) * 2 - 1
curve[i] = Math.tanh(x * 1.2)
}
return curve
}
// Fetch + decode one sound, caching the decoded buffer for instant replay.
async function load(name: SoundName, audio: AudioContext): Promise<AudioBuffer | null> {
const cached = buffers.get(name)
if (cached) return cached
try {
const res = await fetch(SOURCES[name])
const bytes = await res.arrayBuffer()
const buf = await audio.decodeAudioData(bytes)
buffers.set(name, buf)
return buf
} catch {
return null // asset missing / decode failed — sound just won't play
}
}
// Warm the cache so the first real play is instant.
async function prime(): Promise<void> {
const audio = await ensureContext()
if (!audio) return
await Promise.all((Object.keys(SOURCES) as SoundName[]).map((n) => load(n, audio)))
}
// Fire a sound. No-op when muted or audio is unavailable. Never throws — a
// delight that fails should fail silently.
export function playSound(name: SoundName): void {
if (!enabled) return
void (async () => {
const audio = await ensureContext()
if (!audio || !master || audio.state !== 'running') return
const buf = await load(name, audio)
if (!buf) return
try {
const src = audio.createBufferSource()
src.buffer = buf
src.connect(master)
src.start()
} catch {
/* audio glitch — ignore */
}
})()
}
// Play the next notification pop from the pool, never repeating the last one, so
// consecutive blips always sound different. This is the everyday "something
// arrived" voice for suggestions, tips, and gentle cheers.
export function playPop(): void {
let i = lastPop
// Tiny pool, so a short scan to pick anything but the last is plenty.
for (let tries = 0; tries < POP_POOL.length && i === lastPop; tries++) {
i = Math.floor(Math.random() * POP_POOL.length)
}
lastPop = i
playSound(POP_POOL[i])
}
// Each freshly-surfaced suggestion just gets a rotating pop — the variety comes
// from the pool, not from the suggestion type, so a batch of same-type fixes
// still sounds lively.
export function playSuggestionSound(_type: string): void {
playPop()
}
// Unlock + warm audio on the first user gesture so the very first sound isn't
// dropped by the browser's autoplay policy. Self-removing.
if (typeof window !== 'undefined') {
const unlock = () => {
void prime()
window.removeEventListener('pointerdown', unlock)
window.removeEventListener('keydown', unlock)
}
window.addEventListener('pointerdown', unlock)
window.addEventListener('keydown', unlock)
}

115
web/src/audio/speech.ts Normal file
View File

@@ -0,0 +1,115 @@
// Read-aloud for an ESL writer: hear how an English word or passage sounds.
//
// Primary path is server-side neural TTS (Piper, proxied at /api/tts) — natural,
// consistent across devices, and far better than the browser's built-in voices
// (which fall back to robotic espeak on Chromium). If the server route is absent
// (TTS disabled) or unreachable, we fall back to the browser's Web Speech API so
// the buttons still do something. No model or network is strictly required.
// speechSupported reports whether read-aloud can do anything at all. Audio
// playback is universal, so as long as we can construct an Audio element OR the
// Web Speech API exists, the buttons should show. The server path is tried at
// call time and degrades on its own.
export function speechSupported(): boolean {
if (typeof window === 'undefined') return false
return typeof window.Audio === 'function' || 'speechSynthesis' in window
}
// webSpeechSupported gates the fallback path specifically.
function webSpeechSupported(): boolean {
return typeof window !== 'undefined' && 'speechSynthesis' in window && 'SpeechSynthesisUtterance' in window
}
// current holds the in-flight server-audio element and its object URL so a rapid
// re-tap can stop and replace it (mirroring speechSynthesis.cancel()).
let current: { audio: HTMLAudioElement; url: string } | null = null
// requestSeq increments on every speak() call so a slow fetch that resolves after
// a newer tap can detect it's stale and bow out instead of double-playing.
let requestSeq = 0
function stopCurrent(): void {
if (current) {
current.audio.pause()
URL.revokeObjectURL(current.url)
current = null
}
if (webSpeechSupported()) window.speechSynthesis.cancel()
}
// pickVoice prefers an exact locale match (e.g. en-US), then any voice in the
// same language family (en-*). Returns undefined to let the engine default.
function pickVoice(lang: string): SpeechSynthesisVoice | undefined {
const voices = window.speechSynthesis.getVoices()
const base = lang.split('-')[0]
return voices.find((v) => v.lang === lang) || voices.find((v) => v.lang?.startsWith(base))
}
// speakWebSpeech is the fallback: the browser's built-in synthesizer. A touch
// slower than default so learners can follow along.
function speakWebSpeech(text: string, lang: string): void {
if (!webSpeechSupported()) return
const synth = window.speechSynthesis
synth.cancel()
const utterance = new SpeechSynthesisUtterance(text)
utterance.lang = lang
const voice = pickVoice(lang)
if (voice) utterance.voice = voice
utterance.rate = 0.95
synth.speak(utterance)
}
// detectLang guesses a BCP-47 locale from the text so the right Piper voice is
// chosen. Any Han/kana character routes to Chinese (zh-CN) — a selection is
// essentially never mixed at the level that matters, and reading a Chinese
// passage with the English voice spells each character out ("Chinese letter…").
// Everything else defaults to US English, the language she's learning.
const CJK = /[぀-ヿ㐀-䶿一-鿿豈-﫿ヲ-゚]/
export function detectLang(text: string): string {
return CJK.test(text) ? 'zh-CN' : 'en-US'
}
// speak reads `text` aloud, cancelling anything already in flight so rapid taps
// don't queue up. `lang` defaults to a guess from the text (Chinese vs English)
// so callers can just pass the selection; pass an explicit locale to override.
// It tries the server's neural voice first and silently falls back to the browser
// voice if that's unavailable (route off, network error, or a 404 for a language
// with no configured voice).
export function speak(text: string, lang = detectLang(text)): void {
if (!text.trim()) return
stopCurrent()
const seq = ++requestSeq
fetch('/api/tts', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ text, lang }),
})
.then((res) => {
if (!res.ok) throw new Error(`tts ${res.status}`)
return res.blob()
})
.then((blob) => {
// A newer tap superseded this one while the fetch was in flight — drop it.
if (seq !== requestSeq) return
const url = URL.createObjectURL(blob)
const audio = new Audio(url)
current = { audio, url }
// Release the blob once playback finishes (or errors) to avoid leaking.
const cleanup = () => {
if (current?.audio === audio) {
URL.revokeObjectURL(url)
current = null
}
}
audio.addEventListener('ended', cleanup)
audio.addEventListener('error', cleanup)
return audio.play()
})
.catch(() => {
// Server TTS unavailable for this request — use the browser voice instead,
// unless a newer tap has already superseded this one.
if (seq !== requestSeq) return
speakWebSpeech(text, lang)
})
}

View File

@@ -0,0 +1,87 @@
import { useEffect, useRef } from 'react'
// Light build: drops the eval-based expression engine (smaller bundle, no eval
// warning). Plenty for a looping mascot; swap to 'lottie-web' only if an asset
// genuinely needs After Effects expressions.
import lottie, { type AnimationItem } from 'lottie-web/build/player/lottie_light'
interface Props {
// Parsed Lottie JSON (imported, so it bundles offline). When undefined the
// `fallback` is rendered instead — letting the companion ship before any
// animation asset exists.
animationData?: object
loop?: boolean
className?: string
// Mirror the animation left↔right (for assets drawn facing the wrong way).
flip?: boolean
fallback: React.ReactNode
}
// Tighten the SVG viewBox to the animation's actual drawn content so an asset
// with a lot of empty artboard padding (common with stock Lottie files) fills
// the badge instead of floating tiny in the middle. We union the content bbox
// across a few frames (the mascot moves) and make it square so it isn't
// distorted by the square container.
function fitToContent(anim: AnimationItem, svg: SVGSVGElement) {
try {
const frames = anim.getDuration(true)
let x1 = Infinity, y1 = Infinity, x2 = -Infinity, y2 = -Infinity
const SAMPLES = 6
for (let i = 0; i < SAMPLES; i++) {
anim.goToAndStop(Math.floor(((frames - 1) * i) / (SAMPLES - 1)), true)
const b = svg.getBBox()
if (b.width === 0 || b.height === 0) continue
x1 = Math.min(x1, b.x)
y1 = Math.min(y1, b.y)
x2 = Math.max(x2, b.x + b.width)
y2 = Math.max(y2, b.y + b.height)
}
if (!isFinite(x1)) return
const cx = (x1 + x2) / 2, cy = (y1 + y2) / 2
const side = Math.max(x2 - x1, y2 - y1) * 1.14 // ~7% breathing room each side
svg.setAttribute('viewBox', `${cx - side / 2} ${cy - side / 2} ${side} ${side}`)
svg.setAttribute('preserveAspectRatio', 'xMidYMid meet')
} catch {
/* getBBox unsupported / not laid out — leave the original viewBox */
} finally {
anim.goToAndPlay(0, true)
}
}
// A thin wrapper over lottie-web (framework-agnostic, no React peer deps, fully
// offline). Reloads the animation whenever the data changes — moods swap by
// passing a different `animationData`.
export function LottiePlayer({ animationData, loop = true, className, flip, fallback }: Props) {
const ref = useRef<HTMLDivElement>(null)
const anim = useRef<AnimationItem | null>(null)
useEffect(() => {
const container = ref.current
if (!container || !animationData) return
const item = lottie.loadAnimation({
container,
renderer: 'svg',
loop,
autoplay: true,
animationData,
})
anim.current = item
item.addEventListener('DOMLoaded', () => {
const svg = container.querySelector('svg')
if (svg) fitToContent(item, svg as SVGSVGElement)
})
return () => {
item.destroy()
anim.current = null
}
}, [animationData, loop])
if (!animationData) return <>{fallback}</>
return (
<div
ref={ref}
className={className}
style={flip ? { transform: 'scaleX(-1)' } : undefined}
aria-hidden
/>
)
}

View File

@@ -0,0 +1,215 @@
import { useEffect, useRef, useState } from 'react'
import type { SaveStatus } from '../../hooks/useAutoSave'
import { useCompanion, type Mood } from './useCompanion'
import { LottiePlayer } from './LottiePlayer'
import { COMPANIONS, DEFAULT_COMPANION } from './companions'
interface Props {
wordCount: number
saveStatus: SaveStatus
llmDown: boolean
editTick: number
acceptTick: number
text: string
}
// Emoji placeholder per mood, used for any mood a companion has no Lottie for.
const MOOD_EMOJI: Record<Mood, string> = {
idle: '🐾',
happy: '😺',
talking: '😸',
celebrate: '😻',
sleeping: '🐾',
}
const STORAGE_KEY = 'petal.companion'
// PetalCompanion is the cozy corner mascot: it watches the writing session via
// useCompanion and shows a Mandarin-first speech bubble for cheers, tips, and
// break reminders. Clicking the mascot opens a picker to switch companions
// (the choice persists in localStorage).
export function PetalCompanion({ wordCount, saveStatus, llmDown, editTick, acceptTick, text }: Props) {
const { mood, bubble, dismiss, holdBubble, releaseBubble } = useCompanion({
wordCount,
saveStatus,
llmDown,
editTick,
acceptTick,
text,
})
const [companionId, setCompanionId] = useState<string>(() => {
try {
return localStorage.getItem(STORAGE_KEY) || DEFAULT_COMPANION
} catch {
return DEFAULT_COMPANION
}
})
const companion = COMPANIONS.find((c) => c.id === companionId) ?? COMPANIONS[0]
const [pickerOpen, setPickerOpen] = useState(false)
const rootRef = useRef<HTMLDivElement>(null)
// Awake companions (no sleeping clip) don't visibly nap — when the engine
// dozes them, keep their normal idle pose instead of a sleepy face. Only a
// mascot with a real sleep animation (the always-asleep cat) shows the zzz.
const hasSleepClip = Boolean(companion.animations.sleeping)
// An always-asleep mascot (the cat) stays pinned to one pose so its Lottie
// never reloads as the engine flips moods underneath it.
const renderMood: Mood = companion.alwaysAsleep
? 'idle'
: mood === 'sleeping' && !hasSleepClip
? 'idle'
: mood
const napping = companion.alwaysAsleep || (mood === 'sleeping' && hasSleepClip)
// Never swap the cute companion for a bare emoji on an idle nap: fall back to
// the idle animation when a mood has no clip of its own, and only reach for
// the emoji if the companion ships no animations at all.
const animationData = companion.animations[renderMood] ?? companion.animations.idle
function choose(id: string) {
setCompanionId(id)
try {
localStorage.setItem(STORAGE_KEY, id)
} catch {
/* private mode / storage disabled — selection just won't persist */
}
setPickerOpen(false)
}
// Click outside the corner closes the picker.
useEffect(() => {
if (!pickerOpen) return
const onDown = (e: MouseEvent) => {
if (!rootRef.current?.contains(e.target as Node)) setPickerOpen(false)
}
document.addEventListener('mousedown', onDown)
return () => document.removeEventListener('mousedown', onDown)
}, [pickerOpen])
return (
<div
ref={rootRef}
className="pointer-events-none fixed bottom-4 right-4 z-40 flex flex-col items-end gap-2"
>
{pickerOpen && (
<div
className="petal-bubble pointer-events-auto flex flex-col gap-0.5 p-1.5"
style={{
background: 'var(--color-surface)',
border: '1px solid var(--color-border)',
borderRadius: 'var(--radius-card)',
boxShadow: 'var(--shadow-soft)',
fontFamily: 'var(--font-ui)',
minWidth: 180,
}}
>
<p
className="px-2 pb-1 pt-0.5 text-[0.7rem] font-bold"
style={{ color: 'var(--color-muted)' }}
>
· Choose a companion
</p>
{COMPANIONS.map((c) => {
const active = c.id === companion.id
return (
<button
key={c.id}
type="button"
onClick={() => choose(c.id)}
className="flex items-center gap-2.5 rounded-xl px-2 py-1.5 text-left text-sm transition-colors"
style={{
background: active ? 'var(--color-surface-alt)' : 'transparent',
color: 'var(--color-plum)',
}}
onMouseEnter={(e) => {
if (!active) e.currentTarget.style.background = 'var(--color-surface-alt)'
}}
onMouseLeave={(e) => {
if (!active) e.currentTarget.style.background = 'transparent'
}}
>
<span style={{ fontSize: 20, lineHeight: 1 }}>{c.emoji}</span>
<span className="flex-1">
<span className="font-bold">{c.zh}</span>{' '}
<span style={{ color: 'var(--color-muted)' }}>{c.name}</span>
</span>
{active && <span style={{ color: 'var(--color-accent)' }}></span>}
</button>
)
})}
</div>
)}
{bubble && !pickerOpen && (
<div
role="status"
onClick={dismiss}
onMouseEnter={holdBubble}
onMouseLeave={releaseBubble}
className="petal-bubble pointer-events-auto max-w-[420px] cursor-pointer p-4 pr-5"
style={{
background: 'var(--color-surface)',
border: '1px solid var(--color-border)',
borderRadius: 'var(--radius-card)',
boxShadow: 'var(--shadow-soft)',
// CJK-first font stack (north star Note #17) — she reads Mandarin.
fontFamily: 'var(--font-ui)',
}}
title="Click to dismiss"
>
<p
className="font-bold leading-snug"
style={{ color: 'var(--color-plum)', fontSize: '1.4rem' }}
>
{bubble.zh}
</p>
<p
className="mt-0.5 leading-snug"
style={{ color: 'var(--color-muted)', fontSize: '1.15rem' }}
>
{bubble.en}
</p>
</div>
)}
<button
type="button"
onClick={() => setPickerOpen((o) => !o)}
title="Choose a companion"
aria-label="Choose a companion"
className={`petal-companion pointer-events-auto select-none ${napping ? 'petal-companion-sleep' : ''}`}
style={{
// Size scales with the viewport — see --petal-companion-size in index.css.
width: 'var(--petal-companion-size)',
height: 'var(--petal-companion-size)',
padding: 0,
borderRadius: 'var(--radius-pill)',
background: 'var(--color-surface-alt)',
border: '1px solid var(--color-border)',
boxShadow: 'var(--shadow-soft)',
display: 'grid',
placeItems: 'center',
position: 'relative',
}}
>
<LottiePlayer
key={companion.id}
animationData={animationData}
flip={companion.flip}
className="petal-companion-art"
fallback={
<span style={{ fontSize: 'calc(var(--petal-companion-size) * 0.5)', lineHeight: 1 }}>
{MOOD_EMOJI[renderMood]}
</span>
}
/>
{napping && (
<span className="petal-zzz absolute" aria-hidden style={{ color: 'var(--color-muted)' }}>
z
</span>
)}
</button>
</div>
)
}

File diff suppressed because one or more lines are too long

File diff suppressed because one or more lines are too long

File diff suppressed because one or more lines are too long

File diff suppressed because one or more lines are too long

File diff suppressed because one or more lines are too long

View File

@@ -0,0 +1,92 @@
import type { Mood } from './useCompanion'
import sleepingCat from './animations/sleeping-cat.json'
import happyDog from './animations/happy-dog.json'
import wiggleDog from './animations/wiggle-dog.json'
import butterfly from './animations/butterfly.json'
import parrot from './animations/parrot.json'
export interface Companion {
id: string
name: string // English label
zh: string // Chinese label (she reads Mandarin — north star Note #17)
emoji: string // shown in the picker + used as the per-mood fallback base
// mood → Lottie asset. Unmapped moods fall back to the per-mood emoji.
animations: Partial<Record<Mood, object>>
// When true the mascot keeps its calm sway + drifting zzz regardless of mood
// (e.g. a cat that's always asleep but still talks in its sleep).
alwaysAsleep?: boolean
// When true the rendered animation is mirrored left↔right — for assets drawn
// facing the "wrong" way for our bottom-right corner (e.g. the parrot).
flip?: boolean
}
// The roster. Add a companion by dropping a pure-vector Lottie JSON into
// ./animations and appending an entry here — that's the whole change.
export const COMPANIONS: Companion[] = [
{
id: 'cat',
name: 'Sleepy Cat',
zh: '瞌睡猫',
emoji: '😴',
alwaysAsleep: true,
animations: {
idle: sleepingCat,
happy: sleepingCat,
talking: sleepingCat,
celebrate: sleepingCat,
sleeping: sleepingCat,
},
},
{
id: 'dog',
name: 'Happy Dog',
zh: '开心狗',
emoji: '🐶',
animations: {
idle: happyDog,
happy: happyDog,
talking: happyDog,
celebrate: happyDog,
// no sleeping clip → stays in its idle pose instead of visibly napping
},
},
{
id: 'wiggle-dog',
name: 'Wiggle Dog',
zh: '摇尾狗',
emoji: '🐕',
animations: {
idle: wiggleDog,
happy: wiggleDog,
talking: wiggleDog,
celebrate: wiggleDog,
},
},
{
id: 'butterfly',
name: 'Butterfly',
zh: '蝴蝶',
emoji: '🦋',
animations: {
idle: butterfly,
happy: butterfly,
talking: butterfly,
celebrate: butterfly,
},
},
{
id: 'parrot',
name: 'Parrot',
zh: '鹦鹉',
emoji: '🦜',
flip: true, // asset faces left; mirror it to face into the page
animations: {
idle: parrot,
happy: parrot,
talking: parrot,
celebrate: parrot,
},
},
]
export const DEFAULT_COMPANION = 'cat'

View File

@@ -0,0 +1,250 @@
import { describe, it, expect } from 'vitest'
import { analyzeProse } from './prose'
// These tests pin the rules-based prose checker's behavior. For an ESL writer a
// *wrong* nudge costs trust faster than a missed one earns it, so every rule is
// tested in two directions: a true-positive case that must fire, and at least
// one near-miss "guard" case that must stay silent. Sentences are padded past
// the 8-word floor that analyzeProse needs before it offers advice.
const rulesFor = (text: string) => analyzeProse(text).map((h) => h.rule)
// Assert a given rule appears among the hints for this text.
function expectRule(text: string, rule: string) {
expect(rulesFor(text), `expected "${rule}" for: ${text}`).toContain(rule)
}
// Assert the text produces no hints at all (false-positive guard).
function expectClean(text: string) {
expect(analyzeProse(text), `expected no hints for: ${text}`).toEqual([])
}
describe('analyzeProse — floor', () => {
it('stays quiet on very short drafts (under 8 English words)', () => {
expect(analyzeProse('he go now')).toEqual([])
})
it('returns hints highest-priority first', () => {
// This 36-word run-on also contains a lowercase "i"; run-on must lead.
const hints = analyzeProse(
'yesterday i walked all the way to the market and i bought apples and oranges and i saw my friend there and we talked and laughed and walked back home together in the warm afternoon sun.',
)
expect(hints[0].rule).toBe('runon')
expect(hints.map((h) => h.rule)).toContain('cap-i')
})
})
describe('run-ons', () => {
it('flags a long, comma-heavy sentence', () => {
expectRule(
'I went to the market and I bought some apples and then I saw my friend and we talked for a while and after that we went to the cafe and ordered coffee and cake together.',
'runon',
)
})
it('leaves a normal sentence alone', () => {
expectClean('The garden was quiet in the morning and the rain fell softly on the leaves.')
})
})
describe('comma splices', () => {
it('flags two independent clauses joined by a comma', () => {
expectRule('I finished the report, I sent it to my boss right away today.', 'splice')
})
it('catches a splice with a verb not on any list', () => {
expectRule('The garden was quiet in the morning, she poured a cup of tea slowly.', 'splice')
})
it('does not flag an introductory transition (However, …)', () => {
expectClean('However, we decided to stay home and rest for the entire weekend.')
})
it('does not flag an introductory phrase (After dinner, …)', () => {
expectClean('After dinner, I went home and read a book until I fell asleep.')
})
it('does not flag a pronoun list after a comma', () => {
expectClean('We invited my brother, you and your sister to the dinner party.')
})
})
describe('unclear antecedents', () => {
it('flags a vague "This + verb" opener after a prior sentence', () => {
expectRule(
'We changed the whole schedule last week. This makes everyone confused about the new times.',
'antecedent',
)
})
it('leaves "This" alone when it names its noun', () => {
expectClean(
'We changed the whole schedule last week. This new schedule confuses everyone about the times.',
)
})
})
describe('oxford comma', () => {
it('flags a 3-item noun list missing the serial comma', () => {
expectRule('My mother, my father and my sister came to visit us last summer.', 'oxford')
})
it('flags a verb-phrase list missing the serial comma', () => {
expectRule('We cleaned the kitchen, washed the dishes and took out the trash.', 'oxford')
})
it('does not flag a list that already has the serial comma', () => {
expectClean('I bought apples, bananas, and oranges at the store this morning.')
})
it('does not flag a compound predicate as a list', () => {
expectClean('After dinner, I went home and read a book until I fell asleep.')
})
})
describe('a / an', () => {
it('flags "a" before a vowel sound', () => {
expectRule('She found a umbrella and a old book on the table by the window.', 'article')
})
it('flags "an" before a consonant sound', () => {
expectRule('He gave me an book and an pencil to use during the long exam.', 'article')
})
it('respects sound exceptions (a university, an hour)', () => {
expectClean('He is a university student and it took an hour to arrive here.')
})
})
describe('uncountable plurals', () => {
it('flags a pluralized mass noun', () => {
expectRule('She gave me many informations about the new job opening today.', 'uncountable')
})
it('leaves the singular mass noun alone', () => {
expectClean('He shared some useful advice and helped me with my homework tonight.')
})
})
describe('capitalization of proper nouns', () => {
it('flags lowercase languages and days', () => {
expectRule('I am learning english and french during my free time every week.', 'propercap')
expectRule('We will meet on monday to discuss the final project together soon.', 'propercap')
})
it('does not flag ambiguous homographs (may, march)', () => {
expectClean('They may visit in the spring and march through the old town square.')
})
it('leaves already-capitalized proper nouns alone', () => {
expectClean('I will study English and Chinese together this coming summer break here.')
})
})
describe('subjectverb agreement', () => {
it('flags a bare verb after he/she/it', () => {
expectRule('My brother is busy but he go to the gym every single morning.', 'sva')
expectRule('She have a lovely garden full of roses behind her small house.', 'sva')
})
it('flags a sentence-initial subject too', () => {
expectRule('It make me happy whenever the sun comes out after the rain.', 'sva')
})
it('does not flag causative/perception frames (let it go, make it work)', () => {
expectClean('Please let it go and try to enjoy the rest of your day.')
expectClean('We should make it work before the big meeting tomorrow afternoon.')
})
})
describe('plural after a number', () => {
it('flags a singular noun after a cardinal number', () => {
expectRule('I bought three apple and some bread at the market this morning.', 'plural')
})
it('does not flag an adjective between number and noun', () => {
expectClean('We adopted two small dogs from the shelter near our apartment today.')
})
it('does not flag irregular plurals (five people)', () => {
expectClean('There were five people waiting patiently outside in the cold morning rain.')
})
it('does not flag an already-plural noun', () => {
expectClean('She has two cats and they sleep all day long on the couch.')
})
})
describe('double determiner', () => {
it('flags a stacked article + possessive', () => {
expectRule('Please put the my book back on the shelf when you finish it.', 'doubledet')
})
})
describe('there is + plural', () => {
it('flags "there is" with a plural quantifier', () => {
expectRule('There is many reasons to visit the coast during the warm months.', 'thereis')
})
it('does not flag "there is some" with a mass noun', () => {
expectClean('There is some water left in the bottle if you are thirsty now.')
})
})
describe('its / its', () => {
it("flags it's used as a possessive", () => {
expectRule("The cat licked it's own paw while sitting quietly by the window.", 'its')
})
it('flags its used where "it is" is meant', () => {
expectRule('I think its a wonderful idea to travel together next year sometime.', 'its')
})
it('leaves correct possessive "its" alone', () => {
expectClean('The dog wagged its tail happily when we came home that evening.')
})
})
describe('than / then', () => {
it('flags a comparative followed by "then"', () => {
expectRule('This cake tastes much better then the one we made last weekend.', 'than')
})
it('leaves sequential "then" alone', () => {
expectClean('We ate dinner and then we watched a long movie on the sofa.')
})
})
describe('comma after a transition', () => {
it('flags a sentence-initial transition with no comma', () => {
expectRule('However we decided to stay home and rest for the whole weekend.', 'introcomma')
})
it('does not flag a sequence word (Then …)', () => {
expectClean('Then we walked to the park and fed the ducks by the pond.')
})
})
describe('spacing around punctuation', () => {
it('flags a missing space after a comma', () => {
expectRule('I like apples,bananas and grapes from the little shop down the street.', 'space-after')
})
it('flags a space before punctuation', () => {
expectRule('She smiled warmly , then walked away without saying a single word today.', 'space-punct')
})
it('does not flag thousands separators in numbers', () => {
expectClean('The list had 1,000 items and cost us about 2,500 dollars in total.')
})
})
describe('capitalization basics', () => {
it('flags a lowercase standalone "i"', () => {
expectRule('Yesterday i walked to the store and bought milk, eggs, and bread.', 'cap-i')
})
it('flags a sentence that does not start with a capital', () => {
expectRule('The sun set slowly. it was a beautiful evening down by the river.', 'cap-sentence')
})
})

View File

@@ -0,0 +1,577 @@
// Rules-based prose checker — NO LLM. This is the companion's "smart" side: it
// reads the writer's actual text and surfaces one gentle, context-aware grammar
// or style note at a time, the way an attentive tutor leaning over her shoulder
// would. Every rule here is intentionally conservative: a wrong nudge erodes
// trust far faster than a missed one earns it, so we only speak up when a
// pattern is a high-confidence, genuinely-common English mistake.
//
// Each finding becomes a Mandarin-first bubble Line (see tips.ts), often quoting
// a short slice of her own sentence so the advice clearly belongs to *this*
// paragraph and not a generic tip jar.
import type { Line } from './tips'
export interface ProseHint extends Line {
// Stable, content-derived id so the same untouched sentence isn't re-flagged
// every cadence; the companion remembers recently-shown ids.
id: string
// Rule family, used to vary advice (don't show the same kind twice in a row).
rule: string
}
// ── small text helpers ──────────────────────────────────────────────────────
const ENGLISH_WORD_RE = /[A-Za-z]+(?:['-][A-Za-z]+)*/g
// Split into sentence-ish chunks (text + leading punctuation trimmed). Mirrors
// the SENTENCE_RE terminators used elsewhere, including CJK fullwidth forms.
function sentences(text: string): string[] {
const out: string[] = []
const re = /[^.!?。!?]+[.!?。!?]*/g
let m: RegExpExecArray | null
while ((m = re.exec(text))) {
const s = m[0].trim()
if (s) out.push(s)
}
return out
}
// First few words of a sentence, as an anchor we can quote back to her.
function anchor(s: string, n = 6): string {
const words = s.split(/\s+/).slice(0, n).join(' ')
return words.length < s.length ? `${words}` : words
}
// Cheap, stable hash → short id suffix, so ids stay stable across recomputes but
// change the moment she edits the offending text.
function key(s: string): string {
return s.toLowerCase().replace(/\s+/g, ' ').trim().slice(0, 48)
}
// ── individual rules ────────────────────────────────────────────────────────
// Each rule pushes at most a couple of findings; the caller shows one at a time.
// Run-on / overly long sentences — the single most common readability problem
// for ESL writers, who often chain clauses that a period would serve better.
function runOns(text: string, out: ProseHint[]) {
let found = 0
for (const s of sentences(text)) {
if (found >= 2) break
const words = s.match(ENGLISH_WORD_RE)?.length ?? 0
const commas = (s.match(/,/g) ?? []).length
const longRun = words >= 32
const commaHeavy = words >= 24 && commas >= 2
if (longRun || commaHeavy) {
found++
out.push({
id: `runon:${key(s)}`,
rule: 'runon',
zh: '这句话有点长啦,分成两三句会更清楚 🌸',
en: `This one runs long — try splitting it: “${anchor(s)}`,
})
}
}
}
// Comma splice — two independent clauses joined by only a comma. We look for a
// comma immediately followed by a subject pronoun + a finite verb, which is a
// strong, low-false-positive signal of a spliced second clause.
// A comma, then a subject pronoun starting a fresh clause, then its verb. We no
// longer whitelist verbs (that lost too many real splices) — instead we take any
// word after the pronoun and reject the function words that signal it *isn't* a
// new clause (a conjunction/preposition list like “she and I”, “it of course”).
const SPLICE_RE = /[a-z]\w*,\s+(I|we|they|he|she|it|you)\s+([a-z]+)\b/g
const SPLICE_NONVERB = new Set([
'and', 'or', 'but', 'nor', 'yet', 'so', 'to', 'too', 'also', 'of', 'in', 'on',
'at', 'for', 'with', 'as', 'who', 'whom', 'which', 'that', 'than', 'then',
'will', // “…, I will, …” is usually an aside, not a clean splice
])
// First words that signal the lead is an *introductory* element (transition,
// subordinate clause, or adverbial phrase), where a following “, subject verb”
// is correct punctuation — not a splice. Guards against “However, we left.” and
// “After dinner, I went home.”
const INTRO_LEAD = new Set([
'after', 'before', 'when', 'while', 'although', 'though', 'because', 'since',
'if', 'as', 'until', 'unless', 'whenever', 'wherever', 'whereas', 'however',
'therefore', 'moreover', 'furthermore', 'nevertheless', 'nonetheless',
'meanwhile', 'consequently', 'otherwise', 'besides', 'instead', 'finally',
'first', 'firstly', 'second', 'secondly', 'next', 'then', 'later', 'eventually',
'afterwards', 'anyway', 'yesterday', 'today', 'tomorrow', 'honestly',
'actually', 'suddenly', 'sometimes', 'usually', 'often', 'also', 'still',
'now', 'here', 'there', 'well', 'yes', 'no', 'fortunately', 'unfortunately',
'surprisingly', 'clearly', 'obviously', 'basically', 'generally', 'initially',
'recently', 'currently', 'sadly', 'luckily', 'hopefully', 'frankly',
'personally', 'overall', 'soon', 'once', 'during', 'in', 'on', 'at', 'for',
'with', 'without', 'by', 'from', 'despite', 'throughout', 'given', 'regarding',
])
// A genuine comma splice has an *independent clause* before the comma. We
// approximate that by requiring the lead to be ≥3 words and not begin with an
// introductory word — short or transition-led leads are intro phrases, not
// spliced clauses. Precision over recall: a wrong nudge costs more than a miss.
function commaSplices(text: string, out: ProseHint[]) {
let found = 0
for (const s of sentences(text)) {
if (found >= 2) break
SPLICE_RE.lastIndex = 0
let m: RegExpExecArray | null
while ((m = SPLICE_RE.exec(s)) && found < 2) {
const commaIdx = s.indexOf(',', m.index)
const lead = s.slice(0, commaIdx).trim()
const words = lead.split(/\s+/).filter(Boolean)
const firstWord = words[0]?.toLowerCase().replace(/[^a-z]/g, '') ?? ''
if (words.length < 3 || INTRO_LEAD.has(firstWord)) continue
if (SPLICE_NONVERB.has(m[2].toLowerCase())) continue
found++
out.push({
id: `splice:${key(m[0])}`,
rule: 'splice',
zh: '这里用逗号连了两句话,可以改成句号,或加个 “and / but”。',
en: `Two sentences joined by a comma: “…${m[0].trim()}…” — use a period or add a joining word.`,
})
}
}
}
// Unclear antecedent — a sentence that opens with This/That/These/Those riding
// straight into a verb, with no noun naming what it points back to. Only flag
// when there's a prior sentence (so an antecedent is actually in question).
const ANTECEDENT_RE =
/^(This|That|These|Those)\s+(is|are|was|were|will|would|can|could|should|makes?|made|means?|shows?|showed|gives?|gave|causes?|caused|creates?|created|leads?|led|results?|happens?|happened|helps?|helped)\b/
function antecedents(text: string, out: ProseHint[]) {
const list = sentences(text)
let found = 0
for (let i = 1; i < list.length && found < 2; i++) {
const s = list[i]
const m = s.match(ANTECEDENT_RE)
if (m) {
found++
out.push({
id: `antecedent:${key(s)}`,
rule: 'antecedent',
zh: `${m[1]}” 指代不太清楚,最好点明它指的是什么(比如 “${m[1]} idea / change…”`,
en: `${m[1]}” here is a little vague — name what it refers to.`,
})
}
}
}
// Oxford comma — a 3+ item list ending “… X and Y” with no comma before the
// conjunction. Guarded by a clause-starter stoplist so we don't mistake a
// compound clause (“…, but she and I…”) for a list.
const OXFORD_RE = /(\w+),\s+([\w'-]+(?:\s+[\w'-]+){0,2})\s+(and|or)\s+[\w'-]+/g
const CLAUSE_STARTERS = new Set([
'but', 'so', 'because', 'which', 'who', 'that', 'when', 'while', 'if',
'although', 'though', 'since', 'as', 'and', 'or', 'nor', 'yet', 'then',
'however', 'whereas',
// Subject pronouns signal a clause, not a list item (“…, I went home and…”).
'i', 'you', 'he', 'she', 'it', 'we', 'they',
])
function oxford(text: string, out: ProseHint[]) {
let m: RegExpExecArray | null
let found = 0
OXFORD_RE.lastIndex = 0
while ((m = OXFORD_RE.exec(text)) && found < 1) {
const firstWord = m[2].split(/\s+/)[0]?.toLowerCase() ?? ''
if (CLAUSE_STARTERS.has(firstWord)) continue
found++
out.push({
id: `oxford:${key(m[0])}`,
rule: 'oxford',
zh: '列举三样以上时,在 “and / or” 前也加个逗号会更清楚(牛津逗号)。',
en: `In a list, a comma before “${m[3]}” keeps it clear: “a, b, ${m[3]} c”.`,
})
}
}
// a vs. an — chosen by the *sound* of the next word. We work only on lowercase
// words (sidestepping proper nouns / acronyms) and keep sound-exception lists.
const A_BEFORE_VOWEL_RE = /\ba\s+([aeiou][a-z]+)\b/g
// Vowel-spelled but consonant-sounding → “a” is correct, don't flag.
const CONSONANT_SOUND_RE = /^(uni|use|usu|util|euro?|eul|ewe|once|one|ubiqu|unanim)/
const AN_BEFORE_CONSONANT_RE = /\ban\s+([b-df-hj-np-tv-z][a-z]+)\b/g
// Consonant-spelled but vowel-sounding (silent h) → “an” is correct, don't flag.
const VOWEL_SOUND_RE = /^(hour|honest|honou?r|heir|homage)/
function articles(text: string, out: ProseHint[]) {
let m: RegExpExecArray | null
let found = 0
A_BEFORE_VOWEL_RE.lastIndex = 0
while ((m = A_BEFORE_VOWEL_RE.exec(text)) && found < 1) {
if (CONSONANT_SOUND_RE.test(m[1])) continue
found++
out.push({
id: `article-an:${key(m[1])}`,
rule: 'article',
zh: `元音开头的词前用 “an”“an ${m[1]}”。`,
en: `Before a vowel sound, use “an”: “an ${m[1]}”.`,
})
}
AN_BEFORE_CONSONANT_RE.lastIndex = 0
while ((m = AN_BEFORE_CONSONANT_RE.exec(text)) && found < 2) {
if (VOWEL_SOUND_RE.test(m[1])) continue
found++
out.push({
id: `article-a:${key(m[1])}`,
rule: 'article',
zh: `辅音开头的词前用 “a”“a ${m[1]}”。`,
en: `Before a consonant sound, use “a”: “a ${m[1]}”.`,
})
}
}
// Doubled word — “the the”, “is is”. Excludes the handful of doublings that can
// be legitimate (“the fact that that happened”, “she had had enough”).
const DOUBLE_RE = /\b([A-Za-z]+)\s+\1\b/gi
const LEGIT_DOUBLES = new Set(['that', 'had'])
function doubles(text: string, out: ProseHint[]) {
let m: RegExpExecArray | null
let found = 0
DOUBLE_RE.lastIndex = 0
while ((m = DOUBLE_RE.exec(text)) && found < 1) {
const w = m[1].toLowerCase()
if (LEGIT_DOUBLES.has(w)) continue
found++
out.push({
id: `double:${key(m[0])}`,
rule: 'double',
zh: `${m[1]}” 好像写了两遍,检查一下哦。`,
en: `${m[1]} ${m[1]}” — looks like a word got doubled.`,
})
}
}
// Lowercase standalone “I”. Conservative: only when bounded by spaces / line
// edge, to avoid tangling with “i.e.” and the like.
const LOWER_I_RE = /(?:^|\s)i(?=\s|$)/m
function pronounI(text: string, out: ProseHint[]) {
if (LOWER_I_RE.test(text)) {
out.push({
id: 'cap-i',
rule: 'cap-i',
zh: '英文里的 “I”任何时候都要大写哦。',
en: 'In English, “I” is always written as a capital letter.',
})
}
}
// Sentence not starting with a capital. We look after a terminator, and ignore
// CJK sentences (she writes Mandarin too — those don't take Latin capitals).
const LOWER_START_RE = /[.!?]\s+([a-z])/
function sentenceCaps(text: string, out: ProseHint[]) {
if (LOWER_START_RE.test(text)) {
out.push({
id: 'cap-sentence',
rule: 'cap-sentence',
zh: '每个句子的开头,用大写字母开始吧。',
en: 'Start each new sentence with a capital letter.',
})
}
}
// A stray space *before* punctuation (a common habit carried from CJK spacing).
const SPACE_BEFORE_PUNCT_RE = /[A-Za-z] +([,;:!?]|\.(?!\.))/
function spaceBeforePunct(text: string, out: ProseHint[]) {
if (SPACE_BEFORE_PUNCT_RE.test(text)) {
out.push({
id: 'space-punct',
rule: 'space-punct',
zh: '标点前面不用空格,逗号、句号紧跟在前一个词后面就好。',
en: 'No space before punctuation — it tucks right against the word.',
})
}
}
// ── Chinese-L1 interference rules (Tier 1) ──────────────────────────────────
// Mandarin lacks plural inflection, articles, and verb agreement, so these
// patterns are the predictable places that grammar "leaks" into her English.
// All are closed-list or strong-signal to keep false positives near zero.
// Mass nouns that Mandarin speakers very commonly pluralize. These words are
// essentially never valid with a trailing “s”, so the list is its own guard.
const UNCOUNTABLE_PLURAL_RE =
/\b(informations|advices|knowledges|equipments|furnitures|homeworks|softwares|hardwares|luggages|baggages|sceneries|machineries)\b/i
function uncountables(text: string, out: ProseHint[]) {
const m = UNCOUNTABLE_PLURAL_RE.exec(text)
UNCOUNTABLE_PLURAL_RE.lastIndex = 0
if (m) {
const singular = m[1].replace(/s$/i, '')
out.push({
id: `uncountable:${m[1].toLowerCase()}`,
rule: 'uncountable',
zh: `${m[1]}” 是不可数名词,不用加 s写 “${singular}” 就好。`,
en: `${m[1]}” is uncountable — drop the “s”: just “${singular}”.`,
})
}
}
// Languages, nationalities, days, and months are proper nouns in English but
// not in Mandarin, so they're routinely left lowercase. We list only the
// unambiguous ones — “may/march/august/china/turkey/polish” are skipped because
// they're also ordinary lowercase words and would misfire.
const PROPER_NOUNS =
'monday|tuesday|wednesday|thursday|friday|saturday|sunday|' +
'january|february|april|june|july|september|october|november|december|' +
'english|chinese|mandarin|cantonese|japanese|korean|french|spanish|german|' +
'italian|russian|portuguese|arabic|vietnamese|thai|american|british|canadian|' +
'australian|mexican|brazilian|european'
// Case-sensitive (lowercase-only) so already-capitalized words aren't flagged.
const PROPER_NOUN_RE = new RegExp(`\\b(${PROPER_NOUNS})\\b`)
function properCaps(text: string, out: ProseHint[]) {
const m = PROPER_NOUN_RE.exec(text)
if (m) {
const fixed = m[1][0].toUpperCase() + m[1].slice(1)
out.push({
id: `propercap:${m[1]}`,
rule: 'propercap',
zh: `语言、国籍、星期和月份在英文里要大写:“${fixed}”。`,
en: `Languages, days, and months are capitalized in English: “${fixed}”.`,
})
}
}
// Third-person singular verb form, for the agreement rule's suggestion.
function third(verb: string): string {
const v = verb.toLowerCase()
const irregular: Record<string, string> = { have: 'has', do: 'does', go: 'goes' }
if (irregular[v]) return irregular[v]
if (/[^aeiou]y$/.test(v)) return v.slice(0, -1) + 'ies'
if (/(s|x|z|ch|sh)$/.test(v)) return v + 'es'
return v + 's'
}
// Subjectverb agreement after he/she/it: a bare (base-form) verb where the
// third-person “-s” form is required. We skip the causative/perception frames
// (“let it go”, “make it work”, “help it grow”) where the bare verb is correct.
const SVA_BASE =
'go|have|do|make|like|want|need|know|think|say|see|feel|get|take|come|give|' +
'run|play|work|live|look|seem|become|bring|buy|find|keep|leave|tell|try|call|' +
'move|turn|put|mean|show|use|love|hope|wish|believe|understand|remember|enjoy'
// The preceding word is optional so a sentence-initial subject (“She have…”)
// still matches; when present it lets us skip causative/perception frames.
const SVA_RE = new RegExp(`(?:(\\w+)\\s+)?\\b(he|she|it)\\s+(${SVA_BASE})\\b`, 'gi')
const CAUSATIVE = new Set([
'let', 'lets', 'make', 'makes', 'made', 'help', 'helps', 'helped', 'watch',
'watches', 'watched', 'see', 'sees', 'saw', 'hear', 'heard', 'have', 'has',
'had', 'lets', "let's",
])
function subjectVerbAgreement(text: string, out: ProseHint[]) {
let m: RegExpExecArray | null
let found = 0
SVA_RE.lastIndex = 0
while ((m = SVA_RE.exec(text)) && found < 2) {
if (m[1] && CAUSATIVE.has(m[1].toLowerCase())) continue
found++
const fixed = third(m[3])
out.push({
id: `sva:${m[2].toLowerCase()}:${m[3].toLowerCase()}`,
rule: 'sva',
zh: `主语是 he/she/it 时,动词要加 -s${m[2]} ${fixed}”。`,
en: `After he/she/it the verb takes “-s”: “${m[2]} ${fixed}”.`,
})
}
}
// Singular noun after a cardinal number (“three apple”). Adjectives between the
// number and noun would misfire (“two small dogs”), so we only flag when the
// candidate is followed by a clause boundary — a verb, preposition, article, or
// punctuation — which means it's the noun itself, not a modifier.
const NUMBER_NOUN_RE =
/\b(two|three|four|five|six|seven|eight|nine|ten)\s+([a-z]{3,})\b(?=\s*(?:[.,!?;:]|$|\s(?:is|are|was|were|and|or|but|that|which|who|in|on|at|to|for|with|will|can|could|would|should|the|a|an)\b))/g
// Irregular plurals / mass nouns that are correct without an “s”.
const NON_S_PLURAL = new Set([
'people', 'children', 'men', 'women', 'fish', 'deer', 'sheep', 'feet', 'teeth',
'mice', 'geese', 'police', 'staff', 'series', 'species', 'aircraft', 'cattle',
'hundred', 'thousand', 'million', 'billion', 'dozen', 'percent',
])
function pluralAfterNumber(text: string, out: ProseHint[]) {
let m: RegExpExecArray | null
let found = 0
NUMBER_NOUN_RE.lastIndex = 0
while ((m = NUMBER_NOUN_RE.exec(text)) && found < 1) {
const noun = m[2].toLowerCase()
if (noun.endsWith('s') || NON_S_PLURAL.has(noun)) continue
found++
out.push({
id: `plural:${key(m[0])}`,
rule: 'plural',
zh: `${m[1]}” 后面的名词要用复数:“${m[1]} ${m[2]}s”。`,
en: `After “${m[1]}”, the noun is plural: “${m[1]} ${m[2]}s”.`,
})
}
}
// Two stacked determiners (“the my book”, “a the”) — Mandarin uses a bare
// possessive, so the article often gets stacked on top. One of the two must go.
const DOUBLE_DET_RE =
/\b(a|an|the)\s+(a|an|the|my|your|his|her|its|our|their)\b/gi
function doubleDeterminer(text: string, out: ProseHint[]) {
const m = DOUBLE_DET_RE.exec(text)
DOUBLE_DET_RE.lastIndex = 0
if (m) {
out.push({
id: `doubledet:${key(m[0])}`,
rule: 'doubledet',
zh: `${m[1]} ${m[2]}” 用了两个限定词,留一个就好(比如去掉 “${m[1]}”)。`,
en: `${m[1]} ${m[2]}” stacks two determiners — keep just one.`,
})
}
}
// “there is” with a plural quantifier → should be “there are”. We trigger only
// on clearly-plural cues (skip “some/any”, which are fine with singular mass
// nouns: “there is some water”).
const THERE_IS_RE =
/\bthere(?:\s+is|'s|s)\s+(many|several|numerous|various|few|two|three|four|five|six|seven|eight|nine|ten)\b/i
function thereIsPlural(text: string, out: ProseHint[]) {
const m = THERE_IS_RE.exec(text)
THERE_IS_RE.lastIndex = 0
if (m) {
out.push({
id: `thereis:${m[1].toLowerCase()}`,
rule: 'thereis',
zh: `后面是复数时用 “there are”“there are ${m[1]}…”。`,
en: `With a plural, use “there are”: “there are ${m[1]}…”.`,
})
}
}
// ── confusables (Tier 2) ─────────────────────────────────────────────────────
// its / it's — only the two unambiguous directions: “it's own” (always its own)
// and “its a/an” (the possessive can't take an article → it's a/an).
const ITS_OWN_RE = /\bit's\s+own\b/i
const ITS_ARTICLE_RE = /\bits\s+(a|an)\b/i
function itsConfusion(text: string, out: ProseHint[]) {
if (ITS_OWN_RE.test(text)) {
out.push({
id: 'its-own',
rule: 'its',
zh: '“its” = “it is”表示“它的”要用 “its”所以是 “its own”。',
en: '“its” means “it is” — the possessive is “its”: “its own”.',
})
return
}
const m = ITS_ARTICLE_RE.exec(text)
ITS_ARTICLE_RE.lastIndex = 0
if (m) {
out.push({
id: 'its-article',
rule: 'its',
zh: `这里应该是 “its ${m[1]}it is“its” 是“它的”。`,
en: `Here it should be “its ${m[1]}” (it is); “its” means belonging to it.`,
})
}
}
// Comparative + “then” where “than” is meant (“better then”, “more then”). We
// use an explicit comparative list rather than a generic “-er” pattern, which
// would snag “after then”, “however”, “remember”, etc.
const COMPARATIVES =
'better|more|less|rather|worse|greater|other|older|younger|bigger|smaller|' +
'larger|faster|slower|higher|lower|cheaper|stronger|weaker|easier|harder|' +
'earlier|later|sooner|longer|shorter|taller|richer|poorer|happier|safer'
const THAN_THEN_RE = new RegExp(`\\b(${COMPARATIVES})\\s+then\\b`, 'i')
function thanThen(text: string, out: ProseHint[]) {
const m = THAN_THEN_RE.exec(text)
if (m) {
out.push({
id: `than:${m[1].toLowerCase()}`,
rule: 'than',
zh: `比较的时候用 “than”不是 “then”${m[1]} than”。`,
en: `For comparisons use “than”, not “then”: “${m[1]} than”.`,
})
}
}
// A transition word opening a sentence with no comma after it (“However we…”).
// Limited to conjunctive adverbs that strongly want the comma — sequence words
// like “Then/First/Finally” are left out (their comma is optional).
const INTRO_RE =
/^(However|Therefore|Moreover|Furthermore|Nevertheless|Nonetheless|Meanwhile|Consequently|In addition|In conclusion|As a result|On the other hand|For example|For instance)\s+[A-Za-z]/
function introComma(text: string, out: ProseHint[]) {
let found = false
for (const s of sentences(text)) {
const m = s.match(INTRO_RE)
if (m) {
out.push({
id: `introcomma:${m[1].toLowerCase()}`,
rule: 'introcomma',
zh: `开头的过渡词后面加个逗号:“${m[1]}, …”。`,
en: `Put a comma after the opening transition: “${m[1]}, …”.`,
})
found = true
break
}
}
return found
}
// Missing space *after* a comma or sentence period (“apple,banana”, “end.Next”).
// The comma case requires letters on both sides so numbers like 1,000 are safe;
// the period case requires a real word boundary so “e.g.”/“U.S.” are skipped.
const NO_SPACE_COMMA_RE = /[A-Za-z],[A-Za-z]/
const NO_SPACE_PERIOD_RE = /[a-z]{2,}\.[A-Z][a-z]/
function spaceAfterPunct(text: string, out: ProseHint[]) {
if (NO_SPACE_COMMA_RE.test(text) || NO_SPACE_PERIOD_RE.test(text)) {
out.push({
id: 'space-after',
rule: 'space-after',
zh: '逗号、句号后面要空一格,再接下一个词。',
en: 'Add a space after a comma or period before the next word.',
})
}
}
// ── orchestration ───────────────────────────────────────────────────────────
// Rules run in priority order — the ones the writer cares most about first, so
// that when several fire at once the companion leads with the weightiest note.
const RULES: Array<(text: string, out: ProseHint[]) => void> = [
runOns,
commaSplices,
antecedents,
oxford,
articles,
uncountables,
properCaps,
subjectVerbAgreement,
pluralAfterNumber,
doubleDeterminer,
thereIsPlural,
itsConfusion,
thanThen,
introComma,
doubles,
pronounI,
sentenceCaps,
spaceBeforePunct,
spaceAfterPunct,
]
// analyzeProse returns context-aware hints, highest-priority first. It bails on
// text too short to advise on (mid-thought drafts shouldn't get picked apart).
export function analyzeProse(text: string): ProseHint[] {
const englishWords = text.match(ENGLISH_WORD_RE)?.length ?? 0
if (englishWords < 8) return []
const out: ProseHint[] = []
for (const rule of RULES) rule(text, out)
return out
}

View File

@@ -0,0 +1,94 @@
// Bilingual companion copy — Mandarin first (she writes/reads in Mandarin), with
// a warm English subtitle. Kept gentle and encouraging, never scolding. The
// bubble renders zh prominently and en underneath. (Spec north star: CJK is
// first-class; Ask Petal & companion answer in Mandarin.)
export interface Line {
zh: string
en: string
}
// Played when a suggestion is accepted or a milestone hits — pure warmth.
export const ENCOURAGEMENTS: Line[] = [
{ zh: '好棒!这一句更顺了 🌸', en: 'Lovely — that reads so much smoother now.' },
{ zh: '你写得越来越好了 ✨', en: "You're getting better and better." },
{ zh: '我很喜欢这个改法 💕', en: 'I really like that change.' },
{ zh: '继续保持,加油!', en: 'Keep going — youve got this!' },
{ zh: '嗯嗯,这样清楚多了 👍', en: 'Mm, thats much clearer.' },
{ zh: '这个词用得真好 🌷', en: 'Thats such a good word choice.' },
{ zh: '哇,这一段读起来真舒服 ☁️', en: 'Ooh, that paragraph flows so nicely.' },
{ zh: '看你越写越有信心,真好 💛', en: 'I love watching you write with more confidence.' },
{ zh: '一点点进步,都是了不起的进步 🌱', en: 'Every little bit of progress counts.' },
{ zh: '今天的你,文字闪闪发光 ✨', en: 'Your words are sparkling today.' },
]
// Gentle, generic writing/ESL tips — the fallback when the rules-based prose
// checker (prose.ts) finds nothing concrete to point at in her current text.
export const TIPS: Line[] = [
{ zh: '小贴士:英文句子短一点,会更清楚哦。', en: 'Tip: shorter English sentences often read clearer.' },
{ zh: '别忘了冠词 “the” 和 “a” 哦。', en: "Don't forget articles like “the” and “a”." },
{ zh: '过去的事情用过去式go → went。', en: 'For the past, use past tense: go → went.' },
{ zh: '读出声音,能帮你发现奇怪的地方。', en: 'Reading aloud helps you catch awkward spots.' },
{ zh: '一个段落讲一个想法就好。', en: 'One idea per paragraph keeps it tidy.' },
{ zh: '不确定的地方,问问我就好啦 ✨', en: 'Not sure about something? Just ask me. ✨' },
{ zh: '复数别忘了加 stwo apples 🍎', en: 'Plurals take an “s”: two apples 🍎' },
]
// Shown after a long stretch of continuous writing.
export const BREAKS: Line[] = [
{ zh: '写了好一会儿啦,起来走走,让眼睛休息一下 🍵', en: "You've been writing a while — stretch and rest your eyes. 🍵" },
{ zh: '喝口水,休息五分钟好不好?', en: 'Sip some water and take five?' },
{ zh: '看看远方,放松一下眼睛 🌿', en: 'Look into the distance for a moment — give your eyes a break. 🌿' },
]
// Shown when she's still writing late at night (≥11pm). Caring, a little
// playful — the kitten is always asleep, so "you should be too" lands as a gag,
// never a scold. zh stays gentle; the English subtitle carries the wink.
export const BEDTIME: Line[] = [
{ zh: '你的床在想你了哦 🛏️', en: 'I bet your bed is missing you right now.' },
{ zh: '太累可写不出好文字呀,早点歇着吧 🌙', en: 'A tired writer is a bad writer — get some rest.' },
{ zh: '好好睡一觉,灵感自己会来 ✨', en: 'Sleep is a wondrous enabler.' },
{ zh: '听见了吗?没有吧——大家都睡了,你也该睡啦 😴', en: "Hear that? No… you don't, because everyone is sleeping and you should be too." },
// A few old Chinese proverbs on sleep (zh = a faithful rendering of the
// English sense — the verified classical 原文 isn't recoverable; swap in the
// exact source text if you have it). They read a touch wittier/wiser than the
// gentle lines above, which suits a late-night nudge.
{ zh: '一夜不眠,十日不安。', en: "The loss of one night's sleep is followed by ten days of inconvenience." },
{ zh: '前半夜醒着想自己的过错,后半夜睡着才想别人的不是。', en: 'Think of your own faults the first part of the night when you are awake, and of the faults of others the latter part of the night when you are asleep.' },
{ zh: '黄昏与人相骂,夜半独自难眠。', en: 'Curse your spouse at evening, sleep alone at night.' },
]
// First hello when the app opens.
export const GREETING: Line = {
zh: '嗨~我在这儿陪你写作哦 🐱',
en: "Hi! I'm right here keeping you company. 🐱",
}
// Welcome-back nudge after she returns from an idle pause.
export const WELCOME_BACK: Line = {
zh: '欢迎回来 ✨ 我们继续吧!',
en: 'Welcome back ✨ lets keep going!',
}
// Gentle "haiya, something went wrong" lines — paired with the error sound when
// the LLM is unreachable or a save fails. Never alarming, always reassuring.
export const ERRORS: Line[] = [
{ zh: '哎呀~出了点小问题,你的字都还在哦。', en: 'Oops — a little hiccup, but your words are safe.' },
{ zh: '哎呀,我这边卡了一下,马上就好。', en: 'Haiya, I got stuck for a sec — back in a moment.' },
{ zh: '别担心,等一下再试试看 🍵', en: "Don't worry — let's try again in a bit. 🍵" },
]
// Word-count milestones worth a little cheer — every 100 words, on up.
export const MILESTONES = Array.from({ length: 100 }, (_, i) => (i + 1) * 100)
export function milestoneLine(n: number): Line {
return {
zh: `哇!已经 ${n} 个词了,太厉害了 🎉`,
en: `Wow — ${n} words already! Amazing. 🎉`,
}
}
// Deterministic-enough random pick (Math.random is fine in the browser runtime).
export function pick<T>(arr: T[]): T {
return arr[Math.floor(Math.random() * arr.length)]
}

View File

@@ -0,0 +1,299 @@
import { useCallback, useEffect, useRef, useState } from 'react'
import type { SaveStatus } from '../../hooks/useAutoSave'
import {
BEDTIME,
BREAKS,
ENCOURAGEMENTS,
ERRORS,
GREETING,
MILESTONES,
TIPS,
WELCOME_BACK,
milestoneLine,
pick,
type Line,
} from './tips'
import { analyzeProse } from './prose'
import { playPop, playSound, type SoundName } from '../../audio/sounds'
import { isBedtime } from '../../lib/night'
// The kitten's expression. Maps to a Lottie animation when assets are present,
// otherwise to an emoji placeholder (see PetalCompanion).
export type Mood = 'idle' | 'happy' | 'talking' | 'sleeping' | 'celebrate'
export type BubbleTone = 'cheer' | 'tip' | 'break' | 'error' | 'bedtime'
export interface Bubble extends Line {
tone: BubbleTone
}
interface Signals {
wordCount: number
saveStatus: SaveStatus
// True while the writing-assist LLM is unreachable (timeout / down). A
// false→true flip earns a gentle "haiya".
llmDown: boolean
// Monotonic counters bumped by the app on each editor change / accepted
// suggestion — lets the companion react without a full event bus.
editTick: number
acceptTick: number
// The document's plain text, used by the rules-based prose checker to offer
// context-aware writing notes instead of only generic tips.
text: string
}
// Timing knobs (ms). Tuned to feel present but never naggy.
const IDLE_MS = 75_000 // no edits → kitten naps
const BREAK_MS = 25 * 60_000 // continuous writing → suggest a break
const TIP_MIN_GAP = 4 * 60_000 // at most one spontaneous tip per this window
const PROACTIVE_GAP = 40_000 // floor between any two unsolicited bubbles
const BEDTIME_GAP = 30 * 60_000 // at most one "go to bed" nudge per this window
// The late-night window itself (isBedtime) lives in ../../lib/night so the
// companion nag and the night-mode theme/starfall share one definition.
// How long a bubble lingers. These are *floors* — readBubbleMs extends them by
// how much there is to read, since she reads both the Mandarin and the English
// (and tips now quote a slice of her own sentence, so they run longer).
const BUBBLE_MS = 14_000 // baseline for a tip / break
const CHEER_MS = 9_000 // a short cheer still needs a beat in two languages
const READ_MS_PER_CHAR = 55 // ~18 chars/sec, generous for a bilingual ESL read
const MAX_BUBBLE_MS = 32_000 // cap so a long quote can't pin the bubble forever
const HOVER_GRACE_MS = 3_000 // lingers this long after she stops hovering
const now = () => Date.now()
// Reading time for a bubble: a base floor by tone, stretched by the combined
// length of the Mandarin + English lines so denser advice stays up long enough
// to actually finish reading.
function readBubbleMs(b: Bubble): number {
const base = b.tone === 'cheer' ? CHEER_MS : b.tone === 'bedtime' ? BUBBLE_MS + 4_000 : BUBBLE_MS
const chars = b.zh.length + b.en.length
return Math.min(MAX_BUBBLE_MS, base + chars * READ_MS_PER_CHAR)
}
// useCompanion is the behavior engine: it watches writing signals and decides
// when the kitten speaks, what mood it shows, and how to pace itself so the
// companion feels alive without interrupting. UI-agnostic — returns state only.
export function useCompanion({ wordCount, saveStatus, llmDown, editTick, acceptTick, text }: Signals) {
const [mood, setMood] = useState<Mood>('idle')
const [bubble, setBubble] = useState<Bubble | null>(null)
const lastActivity = useRef(now())
const sessionStart = useRef(now())
const lastProactive = useRef(0)
const lastTip = useRef(0)
const lastBreak = useRef(0)
const lastBedtime = useRef(0)
const nextMilestone = useRef(0) // index into MILESTONES
const sleeping = useRef(false)
// Latest text for the prose checker, read lazily by the heartbeat (kept in a
// ref so per-keystroke changes don't re-arm the interval).
const textRef = useRef(text)
textRef.current = text
// Recently-surfaced hint ids, so the same untouched sentence isn't re-flagged
// each cadence. A small ring — old ids age out and may resurface later.
const recentHints = useRef<string[]>([])
const lastRule = useRef<string>('')
const bubbleTimer = useRef<ReturnType<typeof setTimeout>>(undefined)
const moodTimer = useRef<ReturnType<typeof setTimeout>>(undefined)
// Show a bubble + talking mood, then settle back. `proactive` messages respect
// the spacing floor; user-triggered ones (cheers) always go through.
const say = useCallback(
(b: Bubble, opts?: { proactive?: boolean; celebrate?: boolean; sound?: SoundName }) => {
const t = now()
if (opts?.proactive) {
if (bubble) return
if (t - lastProactive.current < PROACTIVE_GAP) return
lastProactive.current = t
}
sleeping.current = false
// A sound to match the bubble: callers can name a specific one (the milestone
// fanfare, the "haiya" on errors); everything else gets a rotating pop so the
// same blip never repeats back to back.
if (opts?.sound) playSound(opts.sound)
else playPop()
setBubble(b)
setMood(opts?.celebrate ? 'celebrate' : 'talking')
clearTimeout(bubbleTimer.current)
clearTimeout(moodTimer.current)
const dur = readBubbleMs(b)
bubbleTimer.current = setTimeout(() => setBubble(null), dur)
moodTimer.current = setTimeout(() => setMood('idle'), dur)
}, [bubble])
// Choose the next spontaneous tip. Prefer a real, context-aware note from the
// rules-based prose checker (it's actionable and clearly about *her* writing);
// fall back to a generic encouragement-style tip when the text reads clean or
// every finding was shown recently. Avoids repeating a finding or the same
// rule family back-to-back so the companion never feels like a broken record.
const nextTip = useCallback((): Bubble => {
const hints = analyzeProse(textRef.current)
const fresh = hints.find(
(h) => !recentHints.current.includes(h.id) && h.rule !== lastRule.current,
)
const hint = fresh ?? hints.find((h) => !recentHints.current.includes(h.id))
if (hint) {
lastRule.current = hint.rule
recentHints.current = [hint.id, ...recentHints.current].slice(0, 8)
return { zh: hint.zh, en: hint.en, tone: 'tip' }
}
return { ...pick(TIPS), tone: 'tip' }
}, [])
const dismiss = useCallback(() => {
clearTimeout(bubbleTimer.current)
clearTimeout(moodTimer.current)
setBubble(null)
setMood('idle')
}, [])
// Pause the auto-dismiss while she hovers a bubble — so a longer note never
// vanishes mid-read. Releasing leaves it up for a short, fixed grace so it
// doesn't linger forever once she looks away.
const holdBubble = useCallback(() => {
clearTimeout(bubbleTimer.current)
clearTimeout(moodTimer.current)
}, [])
const releaseBubble = useCallback(() => {
clearTimeout(bubbleTimer.current)
clearTimeout(moodTimer.current)
bubbleTimer.current = setTimeout(() => setBubble(null), HOVER_GRACE_MS)
moodTimer.current = setTimeout(() => setMood('idle'), HOVER_GRACE_MS)
}, [])
// Opening hello (once), after a short beat so it doesn't race the first paint.
useEffect(() => {
const id = setTimeout(() => say({ ...GREETING, tone: 'tip' }), 1200)
return () => clearTimeout(id)
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [])
// Edits: record activity and wake from a nap with a warm welcome-back.
const firstEdit = useRef(true)
useEffect(() => {
if (firstEdit.current) {
firstEdit.current = false
return
}
lastActivity.current = now()
if (sleeping.current) {
sleeping.current = false
sessionStart.current = now() // a fresh stretch starts on return
say({ ...WELCOME_BACK, tone: 'cheer' })
} else if (mood === 'sleeping') {
setMood('idle')
}
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [editTick])
// Accepts: always cheer (it's a direct response to her action).
const firstAccept = useRef(true)
useEffect(() => {
if (firstAccept.current) {
firstAccept.current = false
return
}
say({ ...pick(ENCOURAGEMENTS), tone: 'cheer' }, { celebrate: true })
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [acceptTick])
// Word-count milestones: cheer the first time each threshold is crossed.
useEffect(() => {
while (
nextMilestone.current < MILESTONES.length &&
wordCount >= MILESTONES[nextMilestone.current]
) {
const n = MILESTONES[nextMilestone.current]
nextMilestone.current += 1
// Skip silently if we're just loading a long doc (no edits yet).
if (!firstEdit.current)
say({ ...milestoneLine(n), tone: 'cheer' }, { celebrate: true, sound: 'milestone' })
}
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [wordCount])
// Trouble — a save failed or the writing-assist LLM went unreachable. Play the
// playful "haiya" and reassure her, but never spam: at most one per gap, and
// only on the *transition* into trouble (not while it lingers).
const lastError = useRef(0)
const ERROR_GAP = 20_000
const wasLlmDown = useRef(false)
const haiya = useCallback(() => {
const t = now()
if (t - lastError.current < ERROR_GAP) {
playSound('error') // still acknowledge it, just without a fresh bubble
return
}
lastError.current = t
say({ ...pick(ERRORS), tone: 'error' }, { sound: 'error' })
}, [say])
useEffect(() => {
if (saveStatus === 'error') haiya()
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [saveStatus])
useEffect(() => {
if (llmDown && !wasLlmDown.current) haiya()
wasLlmDown.current = llmDown
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [llmDown])
// Occasional gentle cheer on a successful save (kept rare so it isn't noise).
useEffect(() => {
if (saveStatus === 'saved' && Math.random() < 0.18) {
say({ ...pick(ENCOURAGEMENTS), tone: 'cheer' }, { proactive: true })
}
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [saveStatus])
// Heartbeat: nap when idle, suggest breaks, and drop the odd writing tip.
useEffect(() => {
const id = setInterval(() => {
const t = now()
const idleFor = t - lastActivity.current
if (idleFor > IDLE_MS) {
sleeping.current = true
if (!bubble) setMood('sleeping')
return // resting — no nudges while she's away
}
// Active: time for a break?
if (t - sessionStart.current > BREAK_MS && t - lastBreak.current > BREAK_MS) {
lastBreak.current = t
sessionStart.current = t
say({ ...pick(BREAKS), tone: 'break' }, { proactive: true })
return
}
// Burning the midnight oil? Gently suggest bed — caring, low-frequency,
// and only while she's actually still at it (the idle branch above already
// returned if she's away/napping).
if (isBedtime() && t - lastBedtime.current > BEDTIME_GAP) {
lastBedtime.current = t
say({ ...pick(BEDTIME), tone: 'bedtime' }, { proactive: true })
return
}
// Otherwise an occasional tip — context-aware when her text gives us
// something concrete to gently point at, generic warmth otherwise.
if (t - lastTip.current > TIP_MIN_GAP) {
lastTip.current = t
say(nextTip(), { proactive: true })
}
}, 10_000)
return () => clearInterval(id)
}, [bubble, say, nextTip])
useEffect(
() => () => {
clearTimeout(bubbleTimer.current)
clearTimeout(moodTimer.current)
},
[],
)
return { mood, bubble, dismiss, holdBubble, releaseBubble }
}

View File

@@ -0,0 +1,154 @@
import { useMemo, useState } from 'react'
import { api, type DocSummary, type Tag, type TagColor } from '../../api/client'
import { DocListItem } from './DocListItem'
import { SearchBox } from './SearchBox'
import { TagChip } from './TagChip'
interface Props {
docs: DocSummary[]
roster: Tag[]
selectedId: string | null
onSelect: (id: string) => void
onCreate: () => void
onDelete: (id: string) => void
onDuplicate: (id: string) => void
onToggleTag: (docId: string, tag: Tag) => void
onCreateTag: (docId: string, name: string, color: TagColor) => void
}
// Sidebar sort orders. 'recent' keeps the server's updated_at-desc ordering.
type SortMode = 'recent' | 'title' | 'longest'
const SORTS: { value: SortMode; label: string }[] = [
{ value: 'recent', label: '最近 · Recent' },
{ value: 'title', label: '标题 · Title' },
{ value: 'longest', label: '字数 · Longest' },
]
// DocList is the sidebar: a cross-document search box, a tag filter bar, the New
// button, and the document browser (each row showing its tag chips).
export function DocList({
docs,
roster,
selectedId,
onSelect,
onCreate,
onDelete,
onDuplicate,
onToggleTag,
onCreateTag,
}: Props) {
// Active tag filter (null = show all). Cleared automatically if the tag
// disappears from the roster.
const [filterId, setFilterId] = useState<string | null>(null)
const activeFilter = filterId && roster.some((t) => t.id === filterId) ? filterId : null
const [sort, setSort] = useState<SortMode>('recent')
const filtered = useMemo(() => {
const base = activeFilter ? docs.filter((d) => d.tags.some((t) => t.id === activeFilter)) : docs
if (sort === 'recent') return base // already updated_at-desc from the server
const arr = [...base]
if (sort === 'title') {
arr.sort((a, b) =>
(a.title || 'Untitled').localeCompare(b.title || 'Untitled', undefined, { sensitivity: 'base' }),
)
} else {
arr.sort((a, b) => b.word_count - a.word_count)
}
return arr
}, [docs, activeFilter, sort])
// Only surface tags that are actually in use, so the filter bar stays tidy.
const usedTags = useMemo(() => roster.filter((t) => (t.doc_count ?? 0) > 0), [roster])
return (
<aside
className="flex h-full w-[280px] flex-col gap-2 p-3"
style={{ borderRight: '1px solid var(--color-border)' }}
>
<SearchBox onSelect={onSelect} />
{usedTags.length > 0 && (
<div className="flex flex-wrap gap-1 pb-0.5">
{usedTags.map((t) => (
<TagChip
key={t.id}
tag={t}
count={t.doc_count}
active={activeFilter === t.id}
onClick={() => setFilterId((cur) => (cur === t.id ? null : t.id))}
/>
))}
</div>
)}
<button
type="button"
onClick={onCreate}
className="petal-tap flex items-center justify-center gap-2 text-sm font-bold text-white"
style={{ minHeight: 44, borderRadius: 'var(--radius-pill)', background: 'var(--color-accent)' }}
onMouseEnter={(e) => (e.currentTarget.style.background = 'var(--color-accent-hover)')}
onMouseLeave={(e) => (e.currentTarget.style.background = 'var(--color-accent)')}
>
<span className="text-base leading-none"></span> New Doc
</button>
{docs.length > 1 && (
<div className="flex items-center justify-end gap-1.5 px-1 text-xs" style={{ color: 'var(--color-muted)' }}>
<span aria-hidden></span>
<select
aria-label="Sort documents"
value={sort}
onChange={(e) => setSort(e.target.value as SortMode)}
className="bg-transparent text-xs font-semibold focus:outline-none"
style={{ color: 'var(--color-plum)' }}
>
{SORTS.map((s) => (
<option key={s.value} value={s.value}>
{s.label}
</option>
))}
</select>
</div>
)}
<div className="flex flex-1 flex-col gap-0.5 overflow-y-auto">
{filtered.length === 0 ? (
<p className="px-3 py-6 text-center text-xs" style={{ color: 'var(--color-muted)' }}>
{activeFilter ? 'No documents with this tag.' : 'No documents yet.'}
</p>
) : (
filtered.map((doc) => (
<DocListItem
key={doc.id}
doc={doc}
active={doc.id === selectedId}
roster={roster}
onSelect={() => onSelect(doc.id)}
onDelete={() => onDelete(doc.id)}
onDuplicate={() => onDuplicate(doc.id)}
onToggleTag={onToggleTag}
onCreateTag={onCreateTag}
/>
))
)}
</div>
{/* Whole-corpus backup — "download all my writing". Plain download links so
the browser saves the zip; no extra app state needed. */}
{docs.length > 0 && (
<div
className="flex items-center gap-2 px-1 pt-1 text-xs"
style={{ color: 'var(--color-muted)', borderTop: '1px solid var(--color-border)' }}
>
<span className="font-semibold"> · Back up all:</span>
<a href={api.exportAllUrl('docx')} download className="font-bold hover:underline" style={{ color: 'var(--color-accent-hover)' }}>
Word
</a>
<a href={api.exportAllUrl('md')} download className="font-bold hover:underline" style={{ color: 'var(--color-accent-hover)' }}>
Markdown
</a>
</div>
)}
</aside>
)
}

View File

@@ -0,0 +1,116 @@
import { useState } from 'react'
import type { DocSummary, Tag, TagColor } from '../../api/client'
import { TagChip } from './TagChip'
import { TagPicker } from './TagPicker'
interface Props {
doc: DocSummary
active: boolean
roster: Tag[]
onSelect: () => void
onDelete: () => void
onDuplicate: () => void
onToggleTag: (docId: string, tag: Tag) => void
onCreateTag: (docId: string, name: string, color: TagColor) => void
}
// One row in the sidebar: title + word count, its tag chips, a tag affordance and
// a delete affordance on hover, and a rose wash when it's the open document.
export function DocListItem({
doc,
active,
roster,
onSelect,
onDelete,
onDuplicate,
onToggleTag,
onCreateTag,
}: Props) {
const [picking, setPicking] = useState(false)
const assignedIds = new Set(doc.tags.map((t) => t.id))
return (
<div
onClick={onSelect}
className="group relative flex cursor-pointer flex-col gap-1 px-3 py-2.5"
style={{
borderRadius: 'var(--radius-card)',
background: active ? 'var(--color-surface)' : 'transparent',
boxShadow: active ? 'var(--shadow-soft)' : 'none',
}}
>
<div className="flex items-center gap-2">
<div className="min-w-0 flex-1">
<div
className="truncate text-sm font-semibold"
style={{ color: active ? 'var(--color-plum)' : 'var(--color-muted)' }}
>
{doc.title || 'Untitled'}
</div>
<div className="text-xs" style={{ color: 'var(--color-muted)' }}>
{doc.word_count} {doc.word_count === 1 ? 'word' : 'words'}
</div>
</div>
{/* Tag + delete affordances: always reachable on touch (no hover), fade in
on hover for the pointer experience. */}
<button
type="button"
aria-label="Tag document"
title="Tags"
onClick={(e) => {
e.stopPropagation()
setPicking((v) => !v)
}}
className="petal-row-action flex h-7 w-7 shrink-0 items-center justify-center text-sm"
style={{ borderRadius: 'var(--radius-pill)', color: 'var(--color-muted)' }}
>
🏷
</button>
<button
type="button"
aria-label="Duplicate document"
title="副本 · Duplicate"
onClick={(e) => {
e.stopPropagation()
onDuplicate()
}}
className="petal-row-action flex h-7 w-7 shrink-0 items-center justify-center text-sm"
style={{ borderRadius: 'var(--radius-pill)', color: 'var(--color-muted)' }}
>
</button>
<button
type="button"
aria-label="Delete document"
onClick={(e) => {
e.stopPropagation()
onDelete()
}}
className="petal-row-action flex h-7 w-7 shrink-0 items-center justify-center text-base"
style={{ borderRadius: 'var(--radius-pill)', color: 'var(--color-muted)' }}
>
×
</button>
{picking && (
<TagPicker
roster={roster}
assignedIds={assignedIds}
onToggle={(t) => onToggleTag(doc.id, t)}
onCreate={(name, color) => onCreateTag(doc.id, name, color)}
onClose={() => setPicking(false)}
/>
)}
</div>
{doc.tags.length > 0 && (
<div className="flex flex-wrap gap-1">
{doc.tags.map((t) => (
<TagChip key={t.id} tag={t} onRemove={() => onToggleTag(doc.id, t)} />
))}
</div>
)}
</div>
)
}

View File

@@ -0,0 +1,145 @@
import { useEffect, useRef, useState } from 'react'
import { api, splitSnippet, type SearchResult } from '../../api/client'
interface Props {
// Called when a result is chosen — opens that document.
onSelect: (id: string) => void
}
const DEBOUNCE_MS = 220
// SearchBox is the cross-document finder at the top of the sidebar. Typing
// debounces a full-text query; results drop in below with a highlighted snippet.
// Clearing (× or empty) returns the sidebar to the normal document list.
export function SearchBox({ onSelect }: Props) {
const [q, setQ] = useState('')
const [results, setResults] = useState<SearchResult[] | null>(null)
const [busy, setBusy] = useState(false)
const runRef = useRef(0)
const debounceRef = useRef<ReturnType<typeof setTimeout>>(undefined)
useEffect(() => {
clearTimeout(debounceRef.current)
const term = q.trim()
if (!term) {
setResults(null)
setBusy(false)
return
}
setBusy(true)
const run = ++runRef.current
debounceRef.current = setTimeout(async () => {
try {
const hits = await api.search(term)
if (run === runRef.current) setResults(hits)
} catch (err) {
console.error('search failed', err)
if (run === runRef.current) setResults([])
} finally {
if (run === runRef.current) setBusy(false)
}
}, DEBOUNCE_MS)
return () => clearTimeout(debounceRef.current)
}, [q])
const clear = () => {
setQ('')
setResults(null)
}
return (
<div className="flex flex-col gap-1.5">
<div className="relative">
<span
aria-hidden
className="pointer-events-none absolute left-3 top-1/2 -translate-y-1/2 text-sm"
style={{ color: 'var(--color-muted)' }}
>
🔍
</span>
<input
value={q}
onChange={(e) => setQ(e.target.value)}
placeholder="搜索 · Search"
aria-label="Search documents"
className="petal-tap w-full bg-transparent pl-9 pr-8 text-sm focus:outline-none"
style={{
height: 40,
borderRadius: 'var(--radius-pill)',
border: '1px solid var(--color-border)',
background: 'var(--color-surface)',
color: 'var(--color-plum)',
}}
/>
{q && (
<button
type="button"
aria-label="Clear search"
onClick={clear}
className="absolute right-2 top-1/2 flex h-6 w-6 -translate-y-1/2 items-center justify-center"
style={{ borderRadius: 'var(--radius-pill)', color: 'var(--color-muted)' }}
>
×
</button>
)}
</div>
{results !== null && (
<div className="petal-search-results flex flex-col gap-0.5">
{busy && results.length === 0 ? (
<p className="px-2 py-3 text-center text-xs" style={{ color: 'var(--color-muted)' }}>
· Searching
</p>
) : results.length === 0 ? (
<p className="px-2 py-3 text-center text-xs" style={{ color: 'var(--color-muted)' }}>
· No matches
</p>
) : (
results.map((r) => (
<button
key={r.id}
type="button"
onClick={() => onSelect(r.id)}
className="petal-tap flex flex-col items-start gap-0.5 px-3 py-2 text-left"
style={{ borderRadius: 'var(--radius-card)' }}
onMouseEnter={(e) => (e.currentTarget.style.background = 'var(--color-surface-alt)')}
onMouseLeave={(e) => (e.currentTarget.style.background = 'transparent')}
>
<span
className="w-full truncate text-sm font-bold"
style={{ color: 'var(--color-plum)' }}
>
{r.title || 'Untitled'}
</span>
{r.snippet && (
<span
className="line-clamp-2 text-xs"
style={{ color: 'var(--color-muted)', lineHeight: 1.4 }}
>
{splitSnippet(r.snippet).map((seg, i) =>
seg.hit ? (
<mark
key={i}
style={{
background: 'color-mix(in srgb, var(--color-accent) 35%, white)',
color: 'var(--color-plum)',
borderRadius: 3,
padding: '0 1px',
}}
>
{seg.text}
</mark>
) : (
<span key={i}>{seg.text}</span>
),
)}
</span>
)}
</button>
))
)}
</div>
)}
</div>
)
}

View File

@@ -0,0 +1,75 @@
import { tagColorVar, type Tag } from '../../api/client'
interface Props {
tag: Tag
// When set, renders an interactive chip (filter toggle); `active` fills it.
onClick?: () => void
active?: boolean
// When set, shows a small × to remove the tag (used on document rows).
onRemove?: () => void
// Optional trailing count (used in the filter bar).
count?: number
size?: 'sm' | 'md'
}
// TagChip is the pill used everywhere a tag appears: on document rows, in the
// filter bar, and in the assign popover. The palette color tints a soft wash; a
// filled variant marks an active filter. Keeps tap targets comfortable on touch.
export function TagChip({ tag, onClick, active, onRemove, count, size = 'sm' }: Props) {
const color = tagColorVar(tag.color)
const interactive = !!onClick
const pad = size === 'md' ? '0.3rem 0.7rem' : '0.12rem 0.5rem'
const font = size === 'md' ? '0.8rem' : '0.7rem'
return (
<span
onClick={
onClick
? (e) => {
e.stopPropagation()
onClick()
}
: undefined
}
className={`petal-tag-chip inline-flex items-center gap-1 whitespace-nowrap font-bold${interactive ? ' cursor-pointer' : ''}`}
style={{
borderRadius: 'var(--radius-pill)',
padding: pad,
fontSize: font,
lineHeight: 1.2,
background: active ? color : 'color-mix(in srgb, ' + color + ' 22%, white)',
color: active ? 'white' : 'var(--color-plum)',
border: `1px solid ${active ? color : 'color-mix(in srgb, ' + color + ' 45%, white)'}`,
}}
>
<span
aria-hidden
className="inline-block shrink-0"
style={{
width: 7,
height: 7,
borderRadius: 'var(--radius-pill)',
background: active ? 'white' : color,
}}
/>
{tag.name}
{typeof count === 'number' && (
<span style={{ opacity: 0.7, fontWeight: 700 }}>{count}</span>
)}
{onRemove && (
<button
type="button"
aria-label={`Remove ${tag.name}`}
onClick={(e) => {
e.stopPropagation()
onRemove()
}}
className="ml-0.5 inline-flex items-center justify-center"
style={{ color: 'inherit', opacity: 0.65, fontSize: '0.85em', lineHeight: 1 }}
>
×
</button>
)}
</span>
)
}

View File

@@ -0,0 +1,139 @@
import { useEffect, useRef, useState } from 'react'
import { tagColorVar, type Tag, type TagColor } from '../../api/client'
const COLORS: TagColor[] = ['rose', 'mint', 'peach', 'lavender', 'sky', 'honey']
interface Props {
roster: Tag[]
assignedIds: Set<string>
onToggle: (tag: Tag) => void
onCreate: (name: string, color: TagColor) => void
onClose: () => void
}
// TagPicker is the small popover for managing one document's tags: tap an
// existing tag to attach/detach it, or type a new name (with a color swatch) to
// create-and-attach. Closes on outside click or Escape.
export function TagPicker({ roster, assignedIds, onToggle, onCreate, onClose }: Props) {
const [name, setName] = useState('')
const [color, setColor] = useState<TagColor>('rose')
const ref = useRef<HTMLDivElement>(null)
useEffect(() => {
const onDown = (e: PointerEvent) => {
if (!ref.current?.contains(e.target as Node)) onClose()
}
const onKey = (e: KeyboardEvent) => {
if (e.key === 'Escape') onClose()
}
// Defer so the opening click doesn't immediately close it.
const id = setTimeout(() => document.addEventListener('pointerdown', onDown), 0)
document.addEventListener('keydown', onKey)
return () => {
clearTimeout(id)
document.removeEventListener('pointerdown', onDown)
document.removeEventListener('keydown', onKey)
}
}, [onClose])
const submit = () => {
const n = name.trim()
if (!n) return
onCreate(n, color)
setName('')
}
return (
<div
ref={ref}
onClick={(e) => e.stopPropagation()}
className="petal-tag-picker absolute z-20 flex w-60 flex-col gap-2 p-3"
style={{
top: 'calc(100% + 4px)',
right: 0,
borderRadius: 'var(--radius-card)',
background: 'var(--color-surface)',
boxShadow: 'var(--shadow-soft)',
border: '1px solid var(--color-border)',
}}
>
<div className="text-xs font-bold" style={{ color: 'var(--color-muted)' }}>
· Tags
</div>
{roster.length > 0 && (
<div className="flex max-h-40 flex-wrap gap-1.5 overflow-y-auto">
{roster.map((t) => {
const on = assignedIds.has(t.id)
const c = tagColorVar(t.color)
return (
<button
key={t.id}
type="button"
onClick={() => onToggle(t)}
className="petal-tap inline-flex items-center gap-1 whitespace-nowrap text-xs font-bold"
style={{
borderRadius: 'var(--radius-pill)',
padding: '0.25rem 0.6rem',
background: on ? c : 'color-mix(in srgb, ' + c + ' 18%, white)',
color: on ? 'white' : 'var(--color-plum)',
border: `1px solid ${on ? c : 'color-mix(in srgb, ' + c + ' 40%, white)'}`,
}}
>
{on && <span aria-hidden></span>}
{t.name}
</button>
)
})}
</div>
)}
<div className="flex flex-col gap-1.5 pt-1" style={{ borderTop: '1px solid var(--color-border)' }}>
<div className="flex items-center gap-1.5">
{COLORS.map((c) => (
<button
key={c}
type="button"
aria-label={`Color ${c}`}
onClick={() => setColor(c)}
className="petal-tap-sm"
style={{
width: 18,
height: 18,
borderRadius: 'var(--radius-pill)',
background: tagColorVar(c),
border: color === c ? '2px solid var(--color-plum)' : '2px solid transparent',
}}
/>
))}
</div>
<div className="flex items-center gap-1.5">
<input
value={name}
onChange={(e) => setName(e.target.value)}
onKeyDown={(e) => {
if (e.key === 'Enter') submit()
}}
placeholder="新标签 · New tag"
aria-label="New tag name"
className="petal-tap min-w-0 flex-1 bg-transparent px-2.5 text-sm focus:outline-none"
style={{
height: 34,
borderRadius: 'var(--radius-input)',
border: '1px solid var(--color-border)',
color: 'var(--color-plum)',
}}
/>
<button
type="button"
onClick={submit}
className="petal-tap-sm shrink-0 px-3 text-sm font-bold text-white"
style={{ height: 34, borderRadius: 'var(--radius-pill)', background: 'var(--color-accent)' }}
>
</button>
</div>
</div>
</div>
)
}

View File

@@ -0,0 +1,192 @@
import { useEffect, useRef, useState } from 'react'
import { api, streamSuggestionChat, type ChatMessage } from '../../api/client'
interface Props {
suggestionId: string
// The English explanation (shown in the card body). Petal's opening bubble is
// its Simplified-Chinese translation, fetched on open — so the panel doesn't
// just repeat the same English text twice. Falls back to this on failure.
explanation: string
}
// CJK fallback stack — Nunito has no Chinese glyphs, and the user asks questions
// in Mandarin (spec Note #17). Applied to the bubbles specifically, not the
// serif editor body.
const CHAT_FONT = "'Nunito', 'PingFang SC', 'Microsoft YaHei', 'Noto Sans CJK SC', sans-serif"
// AskPetal is the mini chat panel inside an expanded SuggestionCard. The whole
// conversation lives in this component's state — nothing is persisted; closing
// the card (unmounting) clears it. Each send streams Petal's reply token-by-
// token into the latest assistant bubble.
export function AskPetal({ suggestionId, explanation }: Props) {
// Opening bubble starts empty (caret-only) and fills with the Mandarin
// translation once it lands; `seeding` drives that loading caret.
const [messages, setMessages] = useState<ChatMessage[]>([{ role: 'assistant', content: '' }])
const [seeding, setSeeding] = useState(true)
const [input, setInput] = useState('')
const [streaming, setStreaming] = useState(false)
const scrollRef = useRef<HTMLDivElement>(null)
const inputRef = useRef<HTMLInputElement>(null)
// Keep the latest bubble in view as tokens arrive.
useEffect(() => {
const el = scrollRef.current
if (el) el.scrollTop = el.scrollHeight
}, [messages])
// Focus the input when the panel opens.
useEffect(() => {
inputRef.current?.focus()
}, [])
// Fetch the Chinese translation of the explanation to seed the first bubble.
// Only replaces the seed bubble if the user hasn't started chatting yet (the
// conversation always opens with this one assistant turn). Falls back to the
// English explanation if the translation can't be fetched.
useEffect(() => {
let cancelled = false
api
.translateSuggestion(suggestionId)
.then((res) => {
if (cancelled) return
const text = res.translation.trim() || explanation
setMessages((prev) => (prev.length === 1 ? [{ role: 'assistant', content: text }] : prev))
})
.catch(() => {
if (cancelled) return
setMessages((prev) => (prev.length === 1 ? [{ role: 'assistant', content: explanation }] : prev))
})
.finally(() => {
if (!cancelled) setSeeding(false)
})
return () => {
cancelled = true
}
}, [suggestionId, explanation])
async function send() {
const text = input.trim()
if (!text || streaming) return
setInput('')
// Append the user turn plus an empty assistant bubble to stream into.
const history: ChatMessage[] = [...messages, { role: 'user', content: text }]
setMessages([...history, { role: 'assistant', content: '' }])
setStreaming(true)
try {
await streamSuggestionChat(suggestionId, history, (token) => {
setMessages((prev) => {
const next = prev.slice()
const last = next[next.length - 1]
next[next.length - 1] = { ...last, content: last.content + token }
return next
})
})
} catch (err) {
setMessages((prev) => {
const next = prev.slice()
next[next.length - 1] = {
role: 'assistant',
content: 'Sorry, I had trouble responding just now. Please try again. 🌸',
}
return next
})
console.error('Ask Petal chat failed:', err)
} finally {
setStreaming(false)
inputRef.current?.focus()
}
}
return (
<div
className="mt-3 flex flex-col"
style={{
borderTop: '1px solid var(--color-border)',
paddingTop: '0.625rem',
fontFamily: CHAT_FONT,
}}
>
<div
ref={scrollRef}
className="flex flex-col gap-2 overflow-y-auto pr-1"
style={{ maxHeight: 220 }}
>
{messages.map((m, i) => (
<Bubble
key={i}
role={m.role}
content={m.content}
streaming={(streaming && i === messages.length - 1) || (seeding && i === 0)}
/>
))}
</div>
<form
className="mt-2 flex items-center gap-1.5"
onSubmit={(e) => {
e.preventDefault()
void send()
}}
>
<input
ref={inputRef}
value={input}
onChange={(e) => setInput(e.target.value)}
placeholder="Ask why… / 问为什么…"
className="min-w-0 flex-1 rounded-full px-3 py-1.5 text-xs focus:outline-none"
style={{
background: 'var(--color-surface-alt)',
border: '1px solid var(--color-border)',
color: 'var(--color-plum)',
fontFamily: CHAT_FONT,
}}
/>
<button
type="submit"
disabled={streaming || input.trim() === ''}
className="rounded-full px-3 py-1.5 text-xs font-bold text-white disabled:opacity-50"
style={{ background: 'var(--color-accent)' }}
>
Send
</button>
</form>
</div>
)
}
// Bubble renders one chat turn: Petal rose-tinted and left-aligned, the user
// lavender and right-aligned. A trailing caret marks the actively streaming
// reply until its first token lands.
function Bubble({
role,
content,
streaming,
}: {
role: ChatMessage['role']
content: string
streaming: boolean
}) {
const isPetal = role === 'assistant'
return (
<div className={`flex ${isPetal ? 'justify-start' : 'justify-end'}`}>
<div
className="max-w-[85%] rounded-2xl px-3 py-1.5 text-xs leading-snug"
style={{
background: isPetal ? 'var(--color-surface-alt)' : 'var(--color-lavender)',
color: 'var(--color-plum)',
fontFamily: CHAT_FONT,
whiteSpace: 'pre-wrap',
}}
>
{content}
{streaming && content === '' && (
<span className="petal-chat-caret" aria-hidden>
</span>
)}
</div>
</div>
)
}

File diff suppressed because it is too large Load Diff

View File

@@ -0,0 +1,238 @@
import { useCallback, useEffect, useRef, useState } from 'react'
import type { Editor } from '@tiptap/react'
import { clearSearch, getSearchState, setActive, setSearch } from './SearchHighlight'
// FindReplace is the in-document search bar (Ctrl/Cmd+F). It drives the
// SearchHighlight decoration layer: typing updates the highlighted matches, the
// arrows step through them (scrolling each into view), and replace / replace-all
// edit the document in place. Bilingual, zh-first, matching the editor chrome.
interface Props {
editor: Editor
onClose: () => void
}
const CJK = "'Nunito','PingFang SC','Microsoft YaHei','Noto Sans CJK SC',sans-serif"
// Scroll the active match into the middle of the viewport without moving the
// selection (which would otherwise pop the rewrite bubble).
function scrollToActive(editor: Editor) {
const st = getSearchState(editor.state)
if (st.active < 0) return
const m = st.matches[st.active]
const dom = editor.view.domAtPos(m.from)
const el = dom.node.nodeType === Node.TEXT_NODE ? dom.node.parentElement : (dom.node as HTMLElement)
el?.scrollIntoView({ block: 'center', behavior: 'smooth' })
}
export function FindReplace({ editor, onClose }: Props) {
const [query, setQuery] = useState('')
const [replacement, setReplacement] = useState('')
const [caseSensitive, setCaseSensitive] = useState(false)
const [showReplace, setShowReplace] = useState(false)
// Mirror of the plugin's match count + active index for the "n / m" readout.
const [{ count, active }, setCounts] = useState({ count: 0, active: -1 })
const findRef = useRef<HTMLInputElement>(null)
const sync = useCallback(() => {
const st = getSearchState(editor.state)
setCounts({ count: st.matches.length, active: st.active })
}, [editor])
// Push the query into the decoration layer whenever it (or case-sensitivity)
// changes, then jump to the first match.
useEffect(() => {
setSearch(editor.state, editor.view.dispatch, query, caseSensitive)
sync()
scrollToActive(editor)
}, [editor, query, caseSensitive, sync])
// Tear the highlight layer down when the bar closes.
useEffect(() => () => clearSearch(editor.state, editor.view.dispatch), [editor])
// Focus the find field on open.
useEffect(() => {
findRef.current?.focus()
findRef.current?.select()
}, [])
const go = useCallback(
(delta: number) => {
const st = getSearchState(editor.state)
if (!st.matches.length) return
setActive(editor.state, editor.view.dispatch, st.active + delta)
sync()
scrollToActive(editor)
},
[editor, sync],
)
const replaceActive = useCallback(() => {
const st = getSearchState(editor.state)
if (st.active < 0) return
const m = st.matches[st.active]
const tr = editor.state.tr
if (replacement) tr.insertText(replacement, m.from, m.to)
else tr.delete(m.from, m.to)
editor.view.dispatch(tr)
sync()
scrollToActive(editor)
}, [editor, replacement, sync])
const replaceAll = useCallback(() => {
const st = getSearchState(editor.state)
if (!st.matches.length) return
const tr = editor.state.tr
// Apply back-to-front so earlier edits don't shift later match positions.
for (let i = st.matches.length - 1; i >= 0; i--) {
const m = st.matches[i]
if (replacement) tr.insertText(replacement, m.from, m.to)
else tr.delete(m.from, m.to)
}
editor.view.dispatch(tr)
sync()
}, [editor, replacement, sync])
const inputStyle: React.CSSProperties = {
borderRadius: 'var(--radius-input)',
border: '1px solid var(--color-border)',
color: 'var(--color-plum)',
fontFamily: CJK,
}
return (
<div
className="petal-no-print absolute right-2 top-2 z-40 flex flex-col gap-1.5 p-2"
role="dialog"
aria-label="Find and replace"
onKeyDown={(e) => {
if (e.key === 'Escape') {
e.preventDefault()
onClose()
}
}}
style={{
width: 320,
background: 'var(--color-surface)',
border: '1px solid var(--color-border)',
borderRadius: 'var(--radius-card)',
boxShadow: 'var(--shadow-soft)',
}}
>
<div className="flex items-center gap-1.5">
<button
type="button"
onClick={() => setShowReplace((v) => !v)}
aria-label={showReplace ? 'Hide replace' : 'Show replace'}
title={showReplace ? 'Hide replace' : 'Show replace'}
className="flex h-8 w-6 items-center justify-center text-xs"
style={{ color: 'var(--color-muted)' }}
>
{showReplace ? '▾' : '▸'}
</button>
<input
ref={findRef}
value={query}
onChange={(e) => setQuery(e.target.value)}
onKeyDown={(e) => {
if (e.key === 'Enter') {
e.preventDefault()
go(e.shiftKey ? -1 : 1)
}
}}
placeholder="查找 · Find"
className="min-w-0 flex-1 px-2 py-1.5 text-sm focus:outline-none"
style={inputStyle}
/>
<span
className="w-14 shrink-0 text-center text-xs tabular-nums"
style={{ color: 'var(--color-muted)' }}
>
{count ? `${active + 1} / ${count}` : query ? '无 · 0' : ''}
</span>
<FindBtn label="Previous match" disabled={!count} onClick={() => go(-1)}></FindBtn>
<FindBtn label="Next match" disabled={!count} onClick={() => go(1)}></FindBtn>
<FindBtn
label="Match case"
active={caseSensitive}
onClick={() => setCaseSensitive((v) => !v)}
title="Match case · 区分大小写"
>
Aa
</FindBtn>
<FindBtn label="Close" onClick={onClose} title="Close · 关闭"></FindBtn>
</div>
{showReplace && (
<div className="flex items-center gap-1.5 pl-7">
<input
value={replacement}
onChange={(e) => setReplacement(e.target.value)}
onKeyDown={(e) => {
if (e.key === 'Enter') {
e.preventDefault()
replaceActive()
}
}}
placeholder="替换为 · Replace"
className="min-w-0 flex-1 px-2 py-1.5 text-sm focus:outline-none"
style={inputStyle}
/>
<button
type="button"
onClick={replaceActive}
disabled={!count}
className="h-8 shrink-0 whitespace-nowrap px-2.5 text-xs font-semibold disabled:opacity-40"
style={{ borderRadius: 'var(--radius-pill)', background: 'var(--color-surface-alt)', color: 'var(--color-plum)' }}
>
</button>
<button
type="button"
onClick={replaceAll}
disabled={!count}
className="h-8 shrink-0 whitespace-nowrap px-2.5 text-xs font-bold disabled:opacity-40"
style={{ borderRadius: 'var(--radius-pill)', background: 'var(--color-accent)', color: '#fff' }}
>
</button>
</div>
)}
</div>
)
}
function FindBtn({
children,
onClick,
label,
title,
active,
disabled,
}: {
children: React.ReactNode
onClick: () => void
label: string
title?: string
active?: boolean
disabled?: boolean
}) {
return (
<button
type="button"
aria-label={label}
title={title ?? label}
aria-pressed={active}
disabled={disabled}
onClick={onClick}
className="flex h-8 min-w-8 items-center justify-center px-1.5 text-sm font-semibold disabled:opacity-40"
style={{
borderRadius: 'var(--radius-input)',
color: active ? 'var(--color-accent-hover)' : 'var(--color-muted)',
background: active ? 'var(--color-surface-alt)' : 'transparent',
}}
>
{children}
</button>
)
}

View File

@@ -0,0 +1,51 @@
import { Extension } from '@tiptap/core'
// FontSize adds a `fontSize` attribute to the textStyle mark so a writer can
// pick a size preset (Small / Normal / Large / Title) from the toolbar. It rides
// on TextStyle (already loaded) rather than introducing a new mark, so it stacks
// cleanly with color and other inline styling.
declare module '@tiptap/core' {
interface Commands<ReturnType> {
fontSize: {
setFontSize: (size: string) => ReturnType
unsetFontSize: () => ReturnType
}
}
}
export const FontSize = Extension.create({
name: 'fontSize',
addOptions() {
return { types: ['textStyle'] }
},
addGlobalAttributes() {
return [
{
types: this.options.types,
attributes: {
fontSize: {
default: null,
parseHTML: (element) => element.style.fontSize || null,
renderHTML: (attributes) =>
attributes.fontSize ? { style: `font-size: ${attributes.fontSize}` } : {},
},
},
},
]
},
addCommands() {
return {
setFontSize:
(size) =>
({ chain }) =>
chain().setMark('textStyle', { fontSize: size }).run(),
unsetFontSize:
() =>
({ chain }) =>
chain().setMark('textStyle', { fontSize: null }).removeEmptyTextStyle().run(),
}
},
})

View File

@@ -0,0 +1,32 @@
// GlossTip is the inline hover gloss: rest the pointer on an English word and a
// small bubble shows its Chinese meaning, pulled instantly from the offline
// gloss dataset. It's a pure reading aid — pointer-events are off so it never
// steals hover or blocks a click, and it sits just under the word. Bilingual
// chrome elsewhere puts zh first; here the gloss IS the content (the word is
// already on screen), so the bubble shows only the 中文.
interface Props {
gloss: string
style: React.CSSProperties
}
export function GlossTip({ gloss, style }: Props) {
return (
<div
className="petal-gloss-tip pointer-events-none absolute z-20 px-2.5 py-1.5 text-sm"
role="tooltip"
style={{
maxWidth: 280,
background: 'var(--color-plum)',
color: 'var(--color-surface)',
borderRadius: 'var(--radius-input)',
boxShadow: 'var(--shadow-soft)',
lineHeight: 1.35,
fontFamily: "'Nunito','PingFang SC','Microsoft YaHei','Noto Sans CJK SC',sans-serif",
...style,
}}
>
{gloss}
</div>
)
}

View File

@@ -0,0 +1,75 @@
// MisspellCard is the little popover for a single misspelled word: the flagged
// word, up to a few nspell corrections as tappable pills, and an "add to my
// dictionary" action for names/terms Petal shouldn't nag about. Labels are
// bilingual (zh-first, en subtitle) to match the rest of Petal's chrome — the
// user writes in Mandarin and English (spec Note #17).
interface Props {
word: string
suggestions: string[]
style: React.CSSProperties
onReplace: (correction: string) => void
onAdd: () => void
}
export function MisspellCard({ word, suggestions, style, onReplace, onAdd }: Props) {
const shown = suggestions.slice(0, 5)
return (
<div
role="dialog"
aria-label={`Spelling suggestions for ${word}`}
className="petal-misspell-card absolute z-20 p-3 text-sm"
style={{
width: 240,
background: 'var(--color-surface)',
border: '1px solid var(--color-border)',
borderRadius: 'var(--radius-card)',
boxShadow: 'var(--shadow-soft)',
...style,
}}
>
<div className="flex items-center gap-1.5">
<span
className="inline-flex items-center rounded-full px-2.5 py-0.5 text-xs font-bold"
style={{ background: 'var(--color-accent)', color: 'white' }}
>
· Spelling
</span>
<span className="font-semibold" style={{ color: 'var(--color-muted)' }}>
{word}
</span>
</div>
{shown.length > 0 ? (
<div className="mt-2.5 flex flex-wrap gap-1.5">
{shown.map((s) => (
<button
key={s}
type="button"
onClick={() => onReplace(s)}
className="rounded-full px-3 py-1 text-xs font-semibold"
style={{ background: 'var(--color-surface-alt)', color: 'var(--color-plum)' }}
onMouseEnter={(e) => (e.currentTarget.style.background = 'var(--color-accent)')}
onMouseLeave={(e) => (e.currentTarget.style.background = 'var(--color-surface-alt)')}
>
{s}
</button>
))}
</div>
) : (
<p className="mt-2.5 leading-snug" style={{ color: 'var(--color-muted)' }}>
· No suggestions
</p>
)}
<button
type="button"
onClick={onAdd}
className="mt-3 rounded-full px-2.5 py-1 text-xs font-bold transition-colors"
style={{ background: 'transparent', color: 'var(--color-accent-hover)' }}
>
· Add to dictionary
</button>
</div>
)
}

View File

@@ -0,0 +1,136 @@
import { REWRITE_STYLES } from './SelectionBubble'
// RewritePreview shows the result of a tone-rewrite before it touches the
// document: the writer's original passage, the model's rewrite beneath it, and
// accept/cancel. It mirrors the SuggestionCard's warm, bilingual chrome. While
// the model runs it shows a breathing dot; on failure it offers a gentle retry.
export type RewriteStatus = 'loading' | 'ready' | 'error'
interface Props {
style: string // the chosen rewrite style key (for the header label)
status: RewriteStatus
original: string
rewrite: string
cardStyle: React.CSSProperties
onAccept: () => void
onCancel: () => void
onRetry: () => void
}
const CJK = "'Nunito','PingFang SC','Microsoft YaHei','Noto Sans CJK SC',sans-serif"
export function RewritePreview({
style,
status,
original,
rewrite,
cardStyle,
onAccept,
onCancel,
onRetry,
}: Props) {
const meta = REWRITE_STYLES.find((s) => s.value === style) ?? REWRITE_STYLES[0]
return (
<div
className="petal-rewrite-card absolute z-30 p-3.5 text-sm"
role="dialog"
aria-label="Rewrite preview"
onMouseDown={(e) => e.stopPropagation()}
style={{
width: 340,
background: 'var(--color-surface)',
border: '1px solid var(--color-border)',
borderRadius: 'var(--radius-card)',
boxShadow: 'var(--shadow-soft)',
fontFamily: CJK,
...cardStyle,
}}
>
<div className="flex items-center gap-1.5">
<span
className="inline-flex items-center gap-1 rounded-full px-2.5 py-0.5 text-xs font-bold"
style={{ background: 'var(--color-accent)', color: 'var(--color-plum)' }}
>
<span aria-hidden>{meta.emoji}</span>
{meta.zh} · {meta.en}
</span>
<span className="text-xs font-semibold" style={{ color: 'var(--color-muted)' }}>
· Rewrite
</span>
</div>
{/* Original passage, dimmed — what's being replaced. */}
<p
className="mt-3 leading-snug"
style={{ color: 'var(--color-muted)', textDecoration: 'line-through', textDecorationColor: 'var(--color-border)' }}
>
{original}
</p>
{status === 'loading' && (
<div className="mt-3 inline-flex items-center gap-1.5" style={{ color: 'var(--color-muted)' }}>
<span
className="petal-checkpoint-dot inline-block h-2 w-2 rounded-full"
style={{ background: 'var(--color-accent)' }}
aria-hidden
/>
· Rewriting
</div>
)}
{status === 'error' && (
<div className="mt-3">
<p className="leading-snug" style={{ color: 'var(--color-muted)' }}>
· Couldnt rewrite try again
</p>
<div className="mt-2.5 flex justify-end gap-2">
<button
type="button"
onClick={onCancel}
className="rounded-full px-3 py-1 text-xs font-semibold"
style={{ background: 'var(--color-surface-alt)', color: 'var(--color-plum)' }}
>
· Cancel
</button>
<button
type="button"
onClick={onRetry}
className="rounded-full px-3 py-1 text-xs font-bold"
style={{ background: 'var(--color-accent)', color: 'var(--color-plum)' }}
>
· Retry
</button>
</div>
</div>
)}
{status === 'ready' && (
<>
<p className="mt-2 leading-snug" style={{ color: 'var(--color-plum)' }}>
{rewrite}
</p>
<div className="mt-3 flex justify-end gap-2">
<button
type="button"
onClick={onCancel}
className="rounded-full px-3 py-1 text-xs font-semibold"
style={{ background: 'var(--color-surface-alt)', color: 'var(--color-plum)' }}
>
· Cancel
</button>
<button
type="button"
onClick={onAccept}
className="rounded-full px-3 py-1 text-xs font-bold"
style={{ background: 'var(--color-accent)', color: 'var(--color-plum)' }}
>
· Use this
</button>
</div>
</>
)}
</div>
)
}

View File

@@ -0,0 +1,143 @@
import { Extension } from '@tiptap/core'
import { Plugin, PluginKey } from '@tiptap/pm/state'
import type { EditorState, Transaction } from '@tiptap/pm/state'
import { Decoration, DecorationSet } from '@tiptap/pm/view'
import type { Node as PMNode } from '@tiptap/pm/model'
import { mapOffset } from './SuggestionHighlight'
// SearchHighlight powers the in-document Find & Replace bar. Like the suggestion
// layer it uses ProseMirror *decorations* (not stored marks), so matches are
// recomputed from the live document on every edit and never leave a stale
// highlight behind. Matches are found per-textblock (a query never spans a
// paragraph break), mirroring how the rest of the editor anchors text.
export interface Match {
from: number
to: number
}
interface PluginState {
query: string
caseSensitive: boolean
matches: Match[]
active: number // index into matches, or -1 when there are none
decorations: DecorationSet
}
export const searchPluginKey = new PluginKey<PluginState>('petalSearch')
// findMatches collects every occurrence of `query` across the document's
// textblocks and maps each to an absolute ProseMirror range.
function findMatches(doc: PMNode, query: string, caseSensitive: boolean): Match[] {
if (!query) return []
const needle = caseSensitive ? query : query.toLowerCase()
const matches: Match[] = []
doc.descendants((node, pos) => {
if (!node.isTextblock) return true
const haystackRaw = node.textContent
const haystack = caseSensitive ? haystackRaw : haystackRaw.toLowerCase()
let idx = haystack.indexOf(needle)
while (idx >= 0) {
matches.push({
from: mapOffset(node, pos, idx),
to: mapOffset(node, pos, idx + query.length),
})
idx = haystack.indexOf(needle, idx + query.length)
}
return false // don't descend into inline children
})
return matches
}
function build(doc: PMNode, query: string, caseSensitive: boolean, preferred: number): PluginState {
const matches = findMatches(doc, query, caseSensitive)
const active = matches.length === 0 ? -1 : Math.max(0, Math.min(preferred, matches.length - 1))
const decos = matches.map((m, i) =>
Decoration.inline(m.from, m.to, {
class: i === active ? 'petal-find-match petal-find-match-active' : 'petal-find-match',
}),
)
return { query, caseSensitive, matches, active, decorations: DecorationSet.create(doc, decos) }
}
const EMPTY: PluginState = {
query: '',
caseSensitive: false,
matches: [],
active: -1,
decorations: DecorationSet.empty,
}
// setSearch updates the query / case-sensitivity and recomputes matches. Passing
// an empty query clears the layer.
export function setSearch(
state: EditorState,
dispatch: (tr: Transaction) => void,
query: string,
caseSensitive: boolean,
) {
dispatch(state.tr.setMeta(searchPluginKey, { kind: 'search', query, caseSensitive }))
}
// setActive moves the highlighted (current) match by index.
export function setActive(state: EditorState, dispatch: (tr: Transaction) => void, index: number) {
dispatch(state.tr.setMeta(searchPluginKey, { kind: 'active', index }))
}
// clearSearch tears the layer down (on close).
export function clearSearch(state: EditorState, dispatch: (tr: Transaction) => void) {
dispatch(state.tr.setMeta(searchPluginKey, { kind: 'clear' }))
}
// getSearchState reads the live plugin state (match list + active index) so the
// Find bar can render "n / m" and drive navigation/replacement.
export function getSearchState(state: EditorState): PluginState {
return searchPluginKey.getState(state) ?? EMPTY
}
type Meta =
| { kind: 'search'; query: string; caseSensitive: boolean }
| { kind: 'active'; index: number }
| { kind: 'clear' }
export const SearchHighlight = Extension.create({
name: 'searchHighlight',
addProseMirrorPlugins() {
return [
new Plugin<PluginState>({
key: searchPluginKey,
state: {
init: () => EMPTY,
apply(tr, value, _oldState, newState): PluginState {
const meta = tr.getMeta(searchPluginKey) as Meta | undefined
if (meta?.kind === 'search') {
return build(newState.doc, meta.query, meta.caseSensitive, value.active < 0 ? 0 : value.active)
}
if (meta?.kind === 'active') {
if (value.matches.length === 0) return value
const active = ((meta.index % value.matches.length) + value.matches.length) % value.matches.length
const decos = value.matches.map((m, i) =>
Decoration.inline(m.from, m.to, {
class: i === active ? 'petal-find-match petal-find-match-active' : 'petal-find-match',
}),
)
return { ...value, active, decorations: DecorationSet.create(newState.doc, decos) }
}
if (meta?.kind === 'clear') return EMPTY
// Re-anchor on any document change so highlights track edits/replaces.
if (tr.docChanged && value.query) {
return build(newState.doc, value.query, value.caseSensitive, value.active)
}
return value
},
},
props: {
decorations(state) {
return searchPluginKey.getState(state)?.decorations
},
},
}),
]
},
})

View File

@@ -0,0 +1,107 @@
// SelectionBubble floats above a text selection and offers to rewrite it: a
// prominent "✨ 更自然 Say it naturally" action plus the tone vocabulary (学术,
// 轻松, …) mirrored from the document-tone picker. Picking one hands the style up
// to EditorCore, which calls the LLM and shows a preview. Buttons use
// onMouseDown→preventDefault so clicking them doesn't collapse the selection
// before the handler captures its range.
export interface RewriteStyle {
value: string
emoji: string
zh: string
en: string
}
// 'natural' is the default "say it more naturally" rewrite; the rest mirror the
// llm styleGuidance keys (and the ToneSelect labels) so the two stay in step.
export const REWRITE_STYLES: RewriteStyle[] = [
{ value: 'natural', emoji: '✨', zh: '更自然', en: 'Natural' },
{ value: 'academic', emoji: '🎓', zh: '学术', en: 'Academic' },
{ value: 'professional', emoji: '💼', zh: '专业', en: 'Professional' },
{ value: 'casual', emoji: '☕', zh: '轻松', en: 'Casual' },
{ value: 'humorous', emoji: '😄', zh: '幽默', en: 'Humorous' },
{ value: 'creative', emoji: '🎨', zh: '创意', en: 'Creative' },
{ value: 'persuasive', emoji: '📣', zh: '说服', en: 'Persuasive' },
]
interface Props {
style: React.CSSProperties
onRewrite: (style: string) => void
// Read the selected text aloud (null when speech isn't available — the button
// is then hidden).
onSpeak: (() => void) | null
}
const CJK = "'Nunito','PingFang SC','Microsoft YaHei','Noto Sans CJK SC',sans-serif"
export function SelectionBubble({ style, onRewrite, onSpeak }: Props) {
const [natural, ...tones] = REWRITE_STYLES
return (
<div
className="petal-selection-bubble absolute z-30 flex max-w-[360px] flex-wrap items-center gap-1.5 p-2"
role="toolbar"
aria-label="Rewrite the selection"
style={{
background: 'var(--color-surface)',
border: '1px solid var(--color-border)',
borderRadius: 'var(--radius-pill)',
boxShadow: 'var(--shadow-soft)',
fontFamily: CJK,
// Only the buttons capture the pointer; clicks landing on the bubble's
// padding/gaps fall through to the text underneath so it never blocks
// where the user is trying to click.
pointerEvents: 'none',
...style,
}}
>
<button
type="button"
onMouseDown={(e) => e.preventDefault()} // keep the editor selection
onClick={() => onRewrite(natural.value)}
className="inline-flex h-8 items-center gap-1.5 whitespace-nowrap px-3 text-sm font-bold"
style={{ borderRadius: 'var(--radius-pill)', background: 'var(--color-accent)', color: 'var(--color-plum)', pointerEvents: 'auto' }}
title="Rewrite the selection to sound more natural"
>
<span aria-hidden>{natural.emoji}</span>
<span>{natural.zh}</span>
<span className="font-semibold" style={{ color: 'var(--color-plum)', opacity: 0.7 }}>
{natural.en}
</span>
</button>
{onSpeak && (
<button
type="button"
onMouseDown={(e) => e.preventDefault()} // keep the editor selection
onClick={onSpeak}
className="inline-flex h-8 items-center justify-center px-2 text-sm"
style={{ borderRadius: 'var(--radius-pill)', background: 'var(--color-surface-alt)', color: 'var(--color-plum)', pointerEvents: 'auto' }}
title="朗读所选 · Read selection aloud"
aria-label="Read selection aloud"
>
🔊
</button>
)}
<span className="mx-0.5 h-5 w-px shrink-0" style={{ background: 'var(--color-border)' }} />
{tones.map((t) => (
<button
key={t.value}
type="button"
onMouseDown={(e) => e.preventDefault()} // keep the editor selection
onClick={() => onRewrite(t.value)}
className="inline-flex h-8 items-center gap-1 whitespace-nowrap px-2.5 text-sm font-semibold"
style={{ borderRadius: 'var(--radius-pill)', background: 'var(--color-surface-alt)', color: 'var(--color-plum)', pointerEvents: 'auto' }}
onMouseEnter={(e) => (e.currentTarget.style.background = 'var(--color-lavender)')}
onMouseLeave={(e) => (e.currentTarget.style.background = 'var(--color-surface-alt)')}
title={`Rewrite in a ${t.en.toLowerCase()} tone`}
>
<span aria-hidden>{t.emoji}</span>
<span>{t.zh}</span>
</button>
))}
</div>
)
}

View File

@@ -0,0 +1,144 @@
import { Extension } from '@tiptap/core'
import { Plugin, PluginKey } from '@tiptap/pm/state'
import type { EditorState, Transaction } from '@tiptap/pm/state'
import { Decoration, DecorationSet } from '@tiptap/pm/view'
import type { Node as PMNode } from '@tiptap/pm/model'
import { mapOffset } from './SuggestionHighlight'
import type { SpellChecker } from '../../hooks/useSpellChecker'
// SpellCheck renders browser-side nspell misspellings as ProseMirror
// decorations (a wavy red underline), recomputed from the live document on every
// change. Like the AI-suggestion layer it stores no marks — the underline is a
// pure overlay, so it never travels into saved content. English only: the word
// tokenizer matches Latin-letter runs, so CJK text (the user writes in both
// Mandarin and English) is simply never tokenized and never flagged.
export const spellPluginKey = new PluginKey<PluginState>('petalSpellCheck')
interface PluginState {
checker: SpellChecker | null
decorations: DecorationSet
}
// A word is a run of Latin letters with optional internal/edge apostrophes
// (don't, O'Brien). Anything else — digits, punctuation, CJK — terminates a run.
const WORD_RE = /[A-Za-z][A-Za-z']*/g
// isCheckable filters tokens we shouldn't flag: single letters and all-caps
// acronyms (NASA, USA), which dictionaries reliably miss and which read as noise
// when underlined.
function isCheckable(word: string): boolean {
if (word.length < 2) return false
if (word === word.toUpperCase()) return false
return true
}
// strip leading/trailing apostrophes (e.g. a quoted 'word') so the dictionary
// lookup sees the bare token; returns the core plus how many chars were trimmed
// off the front (to re-anchor the decoration).
function coreOf(word: string): { core: string; lead: number } {
const lead = word.match(/^'+/)?.[0].length ?? 0
const trail = word.match(/'+$/)?.[0].length ?? 0
return { core: word.slice(lead, word.length - trail), lead }
}
function eachMisspelling(
doc: PMNode,
checker: SpellChecker,
visit: (from: number, to: number, word: string) => void,
) {
doc.descendants((node, pos) => {
if (!node.isTextblock) return true
const text = node.textContent
WORD_RE.lastIndex = 0
let m: RegExpExecArray | null
while ((m = WORD_RE.exec(text)) !== null) {
const { core, lead } = coreOf(m[0])
if (!isCheckable(core) || checker.correct(core)) continue
const from = mapOffset(node, pos, m.index + lead)
const to = mapOffset(node, pos, m.index + lead + core.length)
visit(from, to, core)
}
return false // never descend into a textblock's inline children
})
}
function buildDecorations(doc: PMNode, checker: SpellChecker, cursor: number): DecorationSet {
const decos: Decoration[] = []
eachMisspelling(doc, checker, (from, to, _word) => {
// Don't flag the word the caret currently sits in — it's mid-typing, and a
// red underline appearing under the cursor on every keystroke is jittery.
if (cursor >= from && cursor <= to) return
decos.push(Decoration.inline(from, to, { class: 'petal-misspelling', 'data-misspelling': '' }))
})
return DecorationSet.create(doc, decos)
}
// wordAt resolves the misspelling token under a ProseMirror position (from a
// click), returning its range + text so the card can offer corrections and the
// replacement can target the exact span — robust to duplicate words anywhere
// else in the document. Returns null if the position isn't inside a Latin word.
export function wordAt(doc: PMNode, pos: number): { from: number; to: number; word: string } | null {
let found: { from: number; to: number; word: string } | null = null
doc.descendants((node, nodePos) => {
if (found) return false
if (!node.isTextblock) return true
if (pos <= nodePos || pos >= nodePos + node.nodeSize) return false
const text = node.textContent
WORD_RE.lastIndex = 0
let m: RegExpExecArray | null
while ((m = WORD_RE.exec(text)) !== null) {
const { core, lead } = coreOf(m[0])
if (!core) continue
const from = mapOffset(node, nodePos, m.index + lead)
const to = mapOffset(node, nodePos, m.index + lead + core.length)
if (pos >= from && pos <= to) {
found = { from, to, word: core }
break
}
}
return false
})
return found
}
// setSpellChecker pushes the (possibly null) checker into the plugin, rebuilding
// decorations immediately against the current document.
export function setSpellChecker(
state: EditorState,
dispatch: (tr: Transaction) => void,
checker: SpellChecker | null,
) {
dispatch(state.tr.setMeta(spellPluginKey, checker ?? null))
}
export const SpellCheck = Extension.create({
name: 'spellCheck',
addProseMirrorPlugins() {
return [
new Plugin<PluginState>({
key: spellPluginKey,
state: {
init: () => ({ checker: null, decorations: DecorationSet.empty }),
apply(tr, value, _oldState, newState) {
const meta = tr.getMeta(spellPluginKey) as SpellChecker | null | undefined
const checker = meta !== undefined ? meta : value.checker
if (!checker) return { checker: null, decorations: DecorationSet.empty }
// Rebuild on a checker swap, a doc edit, or a caret move (so the word
// you just left gets re-evaluated and the new caret word is exempt).
if (meta !== undefined || tr.docChanged || tr.selectionSet) {
return { checker, decorations: buildDecorations(newState.doc, checker, newState.selection.head) }
}
return { checker, decorations: value.decorations }
},
},
props: {
decorations(state) {
return spellPluginKey.getState(state)?.decorations
},
},
}),
]
},
})

View File

@@ -0,0 +1,119 @@
import { useState } from 'react'
import type { Suggestion } from '../../api/client'
import { AskPetal } from './AskPetal'
import { TYPE_META } from './suggestionMeta'
interface Props {
suggestion: Suggestion
style: React.CSSProperties
onAccept: (s: Suggestion) => void
onDismiss: (s: Suggestion) => void
onPointerEnter: () => void
onPointerLeave: () => void
// Pins the card open while the Ask Petal panel is expanded, so the chat isn't
// dismissed by the hover-close timer when the pointer drifts away.
onExpandChange: (expanded: boolean) => void
}
// SuggestionCard is the hover panel for a single suggestion: a colored type tag,
// the original → replacement diff, the friendly explanation, and accept/dismiss
// actions. Voice flags carry no replacement, so the diff row is hidden and only
// Dismiss is offered (awareness-only).
export function SuggestionCard({
suggestion,
style,
onAccept,
onDismiss,
onPointerEnter,
onPointerLeave,
onExpandChange,
}: Props) {
const meta = TYPE_META[suggestion.type]
const hasReplacement = suggestion.replacement.trim() !== ''
const [asking, setAsking] = useState(false)
function toggleAsking() {
setAsking((prev) => {
const next = !prev
onExpandChange(next)
return next
})
}
return (
<div
role="dialog"
aria-label={`${meta.label} suggestion`}
onMouseEnter={onPointerEnter}
onMouseLeave={onPointerLeave}
className="petal-suggestion-card absolute z-20 p-3.5 text-sm"
style={{
width: asking ? 340 : 300,
background: 'var(--color-surface)',
border: '1px solid var(--color-border)',
borderRadius: 'var(--radius-card)',
boxShadow: 'var(--shadow-soft)',
...style,
}}
>
<span
className="inline-flex items-center gap-1.5 rounded-full px-2.5 py-0.5 text-xs font-bold"
style={{ background: meta.color, color: 'var(--color-plum)' }}
>
{meta.label}
</span>
{hasReplacement && (
<div className="mt-2.5 flex flex-col gap-1" style={{ fontFamily: 'var(--font-body)' }}>
<span className="text-[0.95rem] line-through" style={{ color: 'var(--color-muted)' }}>
{suggestion.original}
</span>
<span className="text-[0.95rem] font-medium" style={{ color: 'var(--color-plum)' }}>
{suggestion.replacement}
</span>
</div>
)}
<p className="mt-2.5 leading-snug" style={{ color: 'var(--color-plum)' }}>
{suggestion.explanation}
</p>
<button
type="button"
onClick={toggleAsking}
className="mt-2 rounded-full px-2.5 py-1 text-xs font-bold transition-colors"
style={{
background: asking ? 'var(--color-surface-alt)' : 'transparent',
color: 'var(--color-accent-hover)',
}}
>
{asking ? 'Hide Petal' : 'Ask Petal ✨'}
</button>
{asking && <AskPetal suggestionId={suggestion.id} explanation={suggestion.explanation} />}
<div className="mt-3 flex items-center gap-2">
{hasReplacement && (
<button
type="button"
onClick={() => onAccept(suggestion)}
className="rounded-full px-3.5 py-1.5 text-xs font-bold text-white"
style={{ background: 'var(--color-accent)' }}
onMouseEnter={(e) => (e.currentTarget.style.background = 'var(--color-accent-hover)')}
onMouseLeave={(e) => (e.currentTarget.style.background = 'var(--color-accent)')}
>
Accept
</button>
)}
<button
type="button"
onClick={() => onDismiss(suggestion)}
className="rounded-full px-3.5 py-1.5 text-xs font-semibold"
style={{ background: 'var(--color-surface-alt)', color: 'var(--color-muted)' }}
>
Dismiss
</button>
</div>
</div>
)
}

Some files were not shown because too many files have changed in this diff Show More