ce5de68b9b08912e1f431a1722624817da08982e
21
Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 prosolis
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69bf3ffde1 |
Close the door the edge gate used to hold
A security review of the whole repo. The queries were already scoped, the
OIDC flow already did state and nonce and PKCE, the session tokens were
already stored as hashes. What it found was mostly the seam between the
code and the deployment — and one place where the deployment quietly
undid the code.
The one that matters: with any AUTHENTIK_* variable missing, Petal fell
back to resolving every request to the single `local` user. That is right
on a laptop and a catastrophe on a public host, and Phase 16 removed the
Traefik basic-auth gate that used to stand behind the mistake. A typo in
the client secret would have served her journals to the open internet and
said so only in a log line nobody reads. It now refuses to start, guarded
by default for any BASE_URL that isn't loopback.
Then the one that would have been fixed and wasn't: stored images now
serve under `default-src 'none'; sandbox`, so an SVG pasted into a
document can't run as a page on Petal's own origin. Traefik's
customresponseheaders *overwrites*, so the CSP declared in the compose
labels would have silently replaced that per-route policy in production.
The whole header block moved into the binary, where a route can tighten
its own and a test can prove it; only HSTS stays at the edge, where TLS
actually terminates.
The rest, smaller:
- PETAL_ALLOWED_SUBS empty means everyone authentik authenticates, and
authentik here fronts half a dozen applications. Still legal, now
said out loud every boot, and set in both env examples.
- LLM failures relayed err.Error() to the browser, which carries the
address of the inference box on the far side of the VPN. Logged
instead; the client only ever rendered "the helper is resting".
- Exports scheme-check their links. Escaping makes a URL safe to sit
in an attribute and says nothing about following it, and an export
is the one artifact here meant to leave. Writing the test found the
markdown image src, which I'd missed reading it.
- The draft rescue is namespaced per account and cleared on sign-out.
Everything else in localStorage is a preference; this is her unsaved
writing, sitting in a profile two people share.
- /auth/logout is POST-only. With SameSite=Lax a GET route lets any
page on the internet sign her out mid-draft.
- Image uploads get a per-account allowance and the TTS cache a size
cap. Both share the encrypted volume the database is on, and a full
disk is SQLite failing to write, not a feature degrading.
- The session cookie takes the __Host- prefix over https, so nothing
else under parodia.dev can plant one. Old cookies still resolve;
nobody is signed out to get there.
- npm audit: linkify-it and postcss.
Verified: go build, go vet, the full Go suite, tsc, 195 frontend tests,
npm audit clean. The startup guard and both CSPs checked against a
running server rather than only asserted.
Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua
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prosolis
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1f4ca4775a |
Let her choose her own pair
Raised by the user, not by the plan: there was no way to change language in the mobile UI. There was no way anywhere. `users.pair_lang` has been readable since Phase 19 and writable by nobody — /api/me was GET-only and Upsert deliberately skips the column — which is also why "no pt-PT account exists yet" has stood through two phases. Nothing could create one. PATCH /api/me answers with the whole user rather than 204, so the client re-reads the pair from the server instead of trusting its own request. One write reaches everything: langpack, Hunspell dictionary, Piper voice, lexicon provider and prompt language all read the column at use time. The server refuses a pair it has no copy for, and auth.shippedPairs is deliberately not internal/llm's list. That one names pairs the prompts can talk about (fr and es, since Phase 19); this one names pairs Petal can render itself in, which needs a langpack. Storing fr today would strand her on Chinese with no way back except a lucky guess at a button she cannot read. The picker sits in the sidebar footer because the sidebar is the mobile drawer — always one tap away. The status bar exists only while a document is open, which is the wrong moment to find the app speaking a language you can't read. Each language names itself, 中文 and Português: the one place bilingual copy would get in the way. Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua |
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prosolis
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24c3533e18 |
Give read-aloud a Portuguese voice, and a slower one
Phase 21's infra half. Two things the pt-PT pair needs from TTS, and one thing every learner has wanted since Phase 11. **A language is no longer a code change.** The handler knew exactly two languages, named in the Config struct: English on TTS_ENDPOINT and Chinese on TTS_ENDPOINT_ZH. Petal now discovers its Piper instances from the environment — English keeps the unsuffixed pair it has always had, and every other language is a TTS_ENDPOINT_<LANG>/TTS_VOICE_<LANG> pair — so fr and es cost a compose service and two lines of .env. <LANG> is the base tag, because an environment variable name cannot hold pt-PT's hyphen and only one Portuguese model is loaded either way. A language configured by halves is dropped rather than routed: half a configuration should reach the client as "no voice here, use Web Speech", not as an instance that errors on every tap. The startup line now names the voices it actually resolved rather than the English endpoint it was handed — the same lesson the dictionary line learned last week. **pt_PT-tugão-medium is the only European voice Piper ships.** The other five pt models in the catalogue are Brazilian, so the default anyone reaches for is the wrong country — the same trap as `dictionary-pt` packaging VERO, arriving through the catalogue rather than through the model. Named explicitly in compose, with the query that checks it in the deploy README. **The slow replay** (SUGGESTIONS §5e) is `slow: true` on /api/tts, raising Piper's length_scale to ~4/3. Piper stretches durations rather than resampling, so it stays a voice instead of a groan. The pace is part of the cache key — without it the slow replay of a word already heard at normal speed would be served back at normal speed, which is the one request where the difference is the whole point. 🐢 sits beside 🔊 on the word card, the selection bubble and the garden flashcard; the Web Speech fallback slows too, so the button means the same thing when Piper is down. **And the other reading gets her own voice.** The `alsoIn` block — the Portuguese sense of a word that is also English — now speaks in the pair's locale, which the pack names (`locale`) rather than anything inferring it from the letters. "comum" is spelled identically in both halves; a detector would have to guess, and this is the same reason the gloss shows both directions instead of picking one. Tests: config discovery (both existing deployment shapes, half-configured languages dropped, the pre-map voice defaults preserved), the slow scale and its separate cache entry, pt routing on the base tag with pt-BR landing on the European instance, and speech.ts's request body. The i18n shape suite now asserts every pack names a speakable locale in its own language — and that pt-PT's is not pt-BR. Verified: go build/vet/test, tsc, vitest 125/125, vite build. Live smoke against two fake Piper servers: en/pt × normal/slow all reached the right instance at the right length_scale with four distinct cache entries, and an unconfigured language still 404s. |
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prosolis
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74bf600593 |
Make the dictionary startup line report rows, not capabilities
It logged dictionary.Langs(), which is a compile-time constant of the languages DreamDict *supports*. The database deployed until today supported Spanish and contained none of it, so the line printed a confident "[en fr pt-PT es zh]" over a file where every Spanish lookup came back empty — the exact failure the line exists to catch, reported as success. Contents() counts rows per language instead. For a file somebody has to copy onto the box by hand, "what is in it" is the only question worth asking, and the answer is now en=136615 es=102971 fr=56096 pt-PT=136300 zh=120883. Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua |
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prosolis
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97e9c269ec |
Phase 20: the dictionary stops being English and Chinese only
Word lookups now come from DreamDict's dict.db for every pair but Chinese — opened read-only beside petal.db, no service, nothing over the VPN, because a hover gloss has to answer in milliseconds. `Provider` is the two questions the popover and the tooltip already asked, so the embedded *Lexicon satisfies it with no changes at all; Set.For(lang) is the single place the choice between them is made. The prerequisite in the dreamdict repo turned out to be two things, not one: the module path was unfetchable *and* the query layer sat in internal/, which no other module may import whatever the module is called. Both fixed upstream. The plan's central assumption did not survive the data. It mapped Gloss ← Translate(word, "en", L1) one-to-one; against the real 452 MB database that table answers for 17% of the 2,000 commonest English words into pt-PT. Wiktionary's translation sections are thin in that direction — "ephemeral", "think" and "quickly" have no en→pt-PT row at all. Shared WordNet synsets answer for 61%, so DreamDict gained Equivalents() and Petal glosses through it. Ordering those was wrong in an instructive way too: sorting by frequency glosses "think" as lembrar, "remember", because lembrar is the commoner Portuguese word even though pensar shares six of think's synsets to lembrar's one. Counting sense agreement first asks the right question. The same measurement is why zh stays on ECDICT: DreamDict reaches a Chinese gloss for 53% of those words, ECDICT for nearly all of them. The plan said converge only if quality holds. It didn't, so nothing converged. Two decisions about failure worth keeping. A missing dict.db is not an error — a laptop checkout has never had one — but a present-and-never-imported one is, because that is a half-finished deploy. And a pt-PT writer with no dictionary falls back to the embedded datasets with the gloss suppressed, keeping definitions, synonyms and phonetics rather than blanking the popover: an empty field reads as "not found", the wrong language reads as broken. The new fields surface as an etymology line and a three-band chip. Three, not five: the difficulty score separates "everyday" from "you'll have to explain this" but cannot rank obfuscate against serendipity, and a finer scale would be a confident-looking lie. An unscored word gets no chip. Writing the tests found two bugs first — trimEtymology sliced by byte, which would have emitted invalid UTF-8 for exactly the Greek and Latin etymologies the feature exists for, and its ellipsis path overran its own cap. go build/vet/test, tsc, vite, vitest 96/96 clean; live smoke against the real dict.db with one instance flipped from zh to pt-PT mid-run. Not deployed: go.mod still replaces github.com/prosolis/dreamdict with ../dreamdict, so the Docker build needs the two upstream commits pushed and the replace dropped. The deployed dict.db also predates DreamDict's Spanish data. Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua |
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prosolis
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30d5e691c9 |
Phase 18: settings that belong to the writer, not the browser
The mute toggle, the falling-petals toggle and the chosen companion lived in localStorage, which is a property of the machine. Now that two people can sign in to one Petal, sharing a laptop would have meant sharing a mascot and one person's silence muting the other. Each key is namespaced by user id. The awkward part is timing: sounds.ts and petals.ts read their value the moment they are imported, long before /api/me can have answered. Rather than block startup on the network for a mute flag, a read before the answer arrives sees the old un-namespaced key -- on a single-writer browser, exactly the right value -- and setPrefsScope then adopts it into that account's namespace and tells every reader to look again. Adoption moves rather than copies, so the first account inherits what was set before accounts existed and the second starts from Petal's defaults. The personal spelling dictionary moves further than that: onto the server. It is built from her own writing, so it should not be readable by whoever sits down at the same browser next -- but merely namespacing it would have split the list she already has between her laptop and her tablet, which is worse than where we started. A table keyed (user_id, lang, word) follows her instead. The lang is the dictionary's, not hers: an English exception must not silence a pt-PT flag once the second pair ships. Adding a word takes effect in the editor immediately and persists in the background, so the underline goes away the instant she asks. A browser still holding the old list hands it over on first load, and only lets go once the server has taken it. Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua |
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prosolis
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1cf207d73f |
Phase 16: Petal authenticates for itself
Petal is now an OIDC client in its own right rather than trusting a header from the proxy. The Phase-0 Resolver seam was the only integration point: main.go picks the session store when Authentik is configured and the static local user otherwise, and no handler or query moved for either. internal/auth gains three pieces. session.go issues an opaque cookie token and stores only its SHA-256, so a database copy yields nothing usable; the 30-day expiry slides on every request, throttled to one write an hour, and logout deletes the row rather than just the cookie. oidc.go runs the authorization-code flow with state, nonce and PKCE, and discovers the provider lazily and on retry — an Authentik outage should block new logins without stopping Petal booting or invalidating live sessions. users.go provisions accounts from the token's claims and gates them on an allowlist that matches emails as well as subject ids, since a subject is an opaque uuid that doesn't exist until someone has already logged in once. Migration 0010 lands sessions, images and users.pair_lang together. The images table closes the capability-URL hole the Phase-0 audit flagged: a hash was previously enough to fetch anyone's picture. Rows are keyed (name, user_id) so one file can have several owners and deduplication survives; a stranger gets 404 rather than 403, the cache header drops to private, and files already on disk are claimed at startup or every image already pasted into a document would 404. On the frontend a single 401 interceptor feeds a warm bilingual sign-in overlay, drawn over a still-visible editor because nothing has been taken away. Behind it is the part that matters: a save that comes back 401 stashes its body to localStorage before anything else and stops the auto-save loop, and reopening that document after signing in merges the draft back and saves it. An expired session must not cost writing. Writing the round-trip test against a stub identity provider turned up a real bug: the one-shot state/nonce/PKCE cookies were cleared in a defer, which runs after the redirect has written the response header, so the clearing Set-Cookie was silently dropped and they lingered for their full ten minutes. Also swaps the emoji favicon for a drawn sakura, which renders as Petal's own rose palette everywhere instead of whatever each platform's font decides, and doubles as the app tile in Authentik. Migration 0010 verified against a VACUUM INTO copy of the live millenia database: counts intact, FTS still matching, the one existing image claimed. Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua |
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prosolis
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8410b6315b |
Phase 15: containerize Petal for the parodia.dev VPS
Deploy plumbing so Petal can run on the public VPS behind the Traefik already on that box, with vLLM reached over headscale. - Dockerfile: node build -> go build -> alpine runtime. CGO stays off (modernc SQLite is pure Go), so the runtime layer exists only for ffmpeg (read-aloud transcodes Piper's WAV) and tzdata (the companion's bedtime nag and night mode read the local clock). Runs as uid 10001 with /data as the single writable mount. - docker-compose.yml: Traefik labels following this host's convention (external `traefik` network, `web-secure` entrypoint, `default` cert resolver). Petal publishes no host port. ./data is a bind mount, not a named volume, so the nightly backup and a restore are reachable from the host. - Piper runs as two sibling containers rather than host systemd units. The plan assumed Piper was already installed on the VPS; it is not, the host has no lingering user session to keep user units alive, and containers keep the TTS ports on an internal network unreachable from anywhere but Petal. One image, voice chosen per service, model cached in a shared volume -- so the pt-PT voice is a new service, not a new image. - db.Backup + a `-backup` flag: VACUUM INTO, not a file copy. Petal runs in WAL mode, so the newest committed pages may live in petal.db-wal; copying the three files separately can capture a torn mid-checkpoint state. VACUUM INTO reads one coherent snapshot without taking a write lock, and emits a single file with no -wal/-shm companions. Refuses an existing destination so a failed run can't destroy the last good backup. - deploy/backup-petal.sh: nightly snapshot, compress, push to millenia over headscale with a post-transfer size check, prune both sides. - deploy/petal.env.example: LLM_TIMEOUT raised 30s -> 90s for the WAN+VPN round trip, since the voice and collocation passes send a whole document and the timeout is a hard deadline on Complete. |
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prosolis
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6901cdbbe4 |
Multi-user groundwork: request-scoped user identity
Petal ran as a single hardcoded user, with db.LocalUserID named directly
at ~35 query sites. That made the caller's identity a compile-time
constant scattered across every package — nothing a real login could
replace without touching all of them.
New internal/auth moves it into the request context:
- Middleware(Resolver) resolves the caller once per API request
- handlers read auth.UserID(r.Context()) instead of naming a user
- Resolver is the seam an Authentik session check drops into
- StaticResolver(db.LocalUserID) keeps Petal single-user today
Behavior is unchanged. UserID returns "" rather than panicking when the
middleware is absent, so a mis-wired route fails closed: every query is
WHERE user_id = ?, which then matches nothing.
main.go splits /api into a public group (/health, /version) and an
authenticated group for everything else — a monitoring probe must not
need a session.
Two pre-existing access-control gaps fixed while threading, both
harmless with one user and not with two:
- setStatus (accept/dismiss) updated a suggestion by bare id with no
ownership check at all
- listForDoc/fetchPending read a document's suggestions by doc_id
alone; a suggestion quotes the sentence it corrects, so that leaked
the source prose
Both now scope through documents.user_id.
Tests: internal/auth covers the context round-trip, the absent-context
case, and both 401 paths. Two-user isolation suites in docs and
suggestions mount the same routers twice behind two resolvers over one
database and assert a stranger gets 404 on every id-taking path, sees
nothing in list/search, and leaves the owner's data untouched.
Those suites earned their keep immediately: docs.fetch gained a userID
parameter but kept binding db.LocalUserID in the query. Unused
parameters are legal Go, so it compiled clean, vet was silent, and every
existing test passed while the lookup stayed unscoped.
Still global, out of scope and flagged in BUILD_PLAN.md: the image store
has no per-user association, and frontend localStorage keys are
per-browser rather than per-account.
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prosolis
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8c6bc1604b |
Code-review follow-ups: httputil, validation caps, a11y
Backend: - Extract shared internal/httputil (WriteJSON/ErrorJSON/BadRequest/ ServerError); drop the triple-duplicated helpers in docs, suggestions, vocab. ServerError now logs the real error and returns a generic 500 so raw DB/internal errors never reach the client. - vocab capture: validate doc_id ownership (blank -> none, unknown -> 400 instead of a leaked FK 500); rune-safe clamp word/gloss/definition/ phonetic/example. - vocab review(): wrap the read-modify-write in a transaction (TOCTOU). - /api request-size cap via MaxBytesReader middleware (2 MiB), exempting /api/images (own 10 MiB limit). Frontend: - StatusBar: drive the checking/voicing/collocating indicators from one array; llmDown uses !anyBusy. - Slide-overs: new useFocusTrap hook (focus-in, Tab trap, focus-restore) on GardenPanel + HistoryPanel, both role=dialog/aria-modal/aria-label. - speech.ts: export stopSpeech(); GardenPanel cancels audio on unmount. Tests: add doc_id-validation and field-clamp coverage; full suite green. Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd |
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prosolis
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8aa437ec82 |
Phase 12 + 13: collocation coach + vocabulary garden
Phase 12 — collocation coach: a third suggestion family for gentle
"natives usually say…" hints on non-native word pairings, reusing the
existing runPass/pendingScope/rail machinery.
- llm/collocation.go (RunCollocation, 25s floor, reuses ParseCheckpoint)
+ collocationSystemPrompt/CollocationMessages (warm, Mandarin gloss,
defers grammar/spelling to the grammar family)
- migration 0005 rebuilds the suggestions table to extend the type CHECK
(SQLite can't ALTER a CHECK)
- collocationScope + CollocationLimit + POST /{id}/collocation
- fix: grammarScope was `type != 'voice'` and would wipe the new
collocation flags; now `type NOT IN ('voice','collocation')`
- frontend: --color-blossom, "Make it sound natural 🌸" pill,
collocating/runCollocation in useCheckpoint, StatusBar dot
Phase 13 — vocabulary garden: capture looked-up words and surface them
for gentle spaced repetition.
- new internal/vocab package: migration 0006 (vocab_words, SM-2-lite
columns, doc_id ON DELETE SET NULL, UNIQUE(user_id,word)),
scheduler.go (Leitner ladder 1/3/7/16/35 then geometric; gentle
"again", no streak-shaming), handlers (capture-upsert/list/due/
review/delete, owner-scoped, SQLite-side datetime math)
- auto-capture on word lookup (dictionary-known words only, captures
the surrounding sentence + doc_id) + 🤍/💚 toggle on WordCard
- GardenPanel: blossom grid (bloom by reps), flashcard review (sentence
blanked, flip, again/good/easy, recognition↔production), sleepy-kitten
footer; opened from a global 🌷 header button
Tests: TestCollocationPassCoexists, vocab scheduler + handlers, db CHECK
extended. go build/vet/test + tsc + vite + vitest (51/51) clean;
migration verified against a copy of the live DB; live backend smoke
walked the full vocab lifecycle + the warm-502 collocation path.
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
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prosolis
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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
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prosolis
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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 |
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prosolis
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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 |
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prosolis
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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
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prosolis
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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
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prosolis
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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 |
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prosolis
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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
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prosolis
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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 |
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prosolis
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9c98e97030 | Phase 1: data layer (SQLite, migrations, models, seed) | ||
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prosolis
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e72d48d64e |
Phase 0: project scaffold
- Go module + chi server with embedded SPA serving and /api/health - internal/config env loader (local-dev defaults; auth/copyleaks deferred) - React 19 + Vite 6 + Tailwind v4 frontend with full Petal design tokens - Frontend embedded into the binary via web/embed.go (go:embed all:dist) - README dev workflow, .env.example, BUILD_PLAN progress tracker - Verified end-to-end: binary serves health, embedded SPA, and SPA fallback |