15398eab4dbd74d5b0c07da2e5158154e9934f87
71
Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 prosolis
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2c5b05b398 |
A word of her own language could never reach the garden
Right-clicking "carro" in a Portuguese document showed a full word card — gloss, phonetic, two definitions — and stored nothing. The forward lookup of a Portuguese word answers empty; everything the card renders comes out of `reverse`, and the capture gate only ever read the forward fields. Academic while every document was English. On a Portuguese document it emptied the garden of exactly the words she met. So the reverse reading now counts as known, and fills `definition` (its gloss is the English sense — "carro" → "car; automobile; machine", which is what a review card wants) and `phonetic`. Forward lookups are untouched: the reverse fields are read only where the forward ones are empty, so an English word with a Portuguese gloss captures exactly as it did. Claude-Session: https://claude.ai/code/session_01GJHNvirh7Hzhc9RL3HAvz7 |
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prosolis
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e67f77eb05 |
The pass announces the verdict it just decided
Storing doc_lang on the document row is not enough on its own. The editor sees that row when the document is opened or saved, and the pass that decides the verdict runs after a save — so the client was always one save behind, and read-aloud is reached for precisely when she has stopped typing and no further save is coming. Heard in a browser: a Portuguese paragraph read in an American voice, twice, until another keystroke went in. /check, /voice and /collocation now answer with X-Petal-Doc-Lang. A header rather than a wider body: all three answer with a bare array of the unified pending set and every caller reads it as one, and a verdict is metadata about the pass rather than another suggestion. It reaches the app through the same handler shape onUnauthorized already uses. Claude-Session: https://claude.ai/code/session_01GJHNvirh7Hzhc9RL3HAvz7 |
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prosolis
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c719effe1d |
The verdict has to reach the editor while she is still typing
Caught in the browser: a Portuguese document was read aloud in an American voice until the page was reloaded. The code picking the voice was right — the verdict never arrived. useAutoSave discarded the save response, which was fine while every field in it was one the client had just sent, and stopped being fine when doc_lang arrived: a field only the server decides. The hook now hands the saved row back, and App lifts exactly one field out of it, only when it changed. Copying the rest back mid-keystroke is a way to lose a character, not to gain one. Claude-Session: https://claude.ai/code/session_01GJHNvirh7Hzhc9RL3HAvz7 |
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prosolis
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466055020f |
The garden learns which language a card is in, and read-aloud stops guessing
Phase 28 (c), the last of the phase. A word met inside a Portuguese document is a Portuguese card: migration 0018 mirrors documents.doc_lang onto vocab_words, set server-side from the ownership lookup capture was already making. Every card still reviews — filtering the queue to the half she is learning would drop the words she actually met. Read-aloud was the larger surprise. detectLang routed Han/kana to Chinese and everything else to en-US, so the zh pair was accidentally right and every Latin pair wrong. doc_lang now reaches the client read-only on the document JSON, and docLang(text, verdict) answers for a passage taken out of it — with the script test still winning, because quoted Chinese must never be spelled out one "Chinese letter" at a time. Claude-Session: https://claude.ai/code/session_01GJHNvirh7Hzhc9RL3HAvz7 |
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prosolis
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f82f2b589d |
Measure the corner the kitten sits in, not the kitten
The overlap test read the badge's own box, which bobs, shrinks 10% when it yields, and grows 4% on hover — so the mascot's answer to "is a card in my way" depended on what it was currently doing. Against the live build, with three cards up and no bubble, it flipped between drawn widths of 293 and 264 on its own: the 0.9 yield scale, cycling. Measure a probe span instead. It sits exactly where the badge sits, never animates, and moves the size variable to .petal-corner so both are sized from the same number. Nothing the mascot does can now change what it yields to. Cards also settle a pixel from the corner routinely — a rail re-pack, a resize, a browser bar appearing — so hold a yield until the card has retreated 24px rather than deciding on the exact edge. Verified in a real browser over CDP: seven overlap depths against the mascot's top edge, each settling once and holding, drawn width steady where it used to swing. Claude-Session: https://claude.ai/code/session_01GJHNvirh7Hzhc9RL3HAvz7 |
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prosolis
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047f4ae67f |
Stop the kitten measuring the size it shrank itself to
The mascot shrinks a step when it yields to a card, and the overlap test read getBoundingClientRect, which reports the scaled box. So a card resting at the mascot's edge drove a loop: overlap, shrink, no overlap, grow, overlap again, every poll tick. Measure the layout box instead — centre plus offsetWidth/offsetHeight, which the yield transform doesn't move. Hysteresis would have hidden the pulsing; this removes the path that caused it. Claude-Session: https://claude.ai/code/session_01GJHNvirh7Hzhc9RL3HAvz7 |
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prosolis
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c6bf36bddf |
Triage the whole queue from the keyboard, and never type an n
The last of the UX review's item 8. Ctrl+. and Ctrl+, step through the underlines from anywhere in the text; the card that opens takes focus and answers Tab / Shift+Tab / Enter / Del / ? / Esc itself. Answering a card advances to the next by itself, and the last one closes and puts the caret back in the prose — so a document is triaged in five presses of Enter. The item asked for bare Tab or n/p. Neither can exist in a text editor: an unmodified letter is a letter. They work fine once a card holds focus, which is where the item wanted them; getting there needs a chord that is safe to press mid-sentence, and mid-composition, so the entry keys are IME-guarded like every other binding. The queue is the underlines read off the decoration DOM in document order, not the suggestion list: a stop she cannot see is worse than one she never visits, and it guarantees the card can anchor itself. Escape is stopped at the card. Unhandled it would also have left distraction-free mode, restoring the sidebar and — via the rail-follows-the- mode fix — pulling the rail out from under her mid-triage. The legend is bilingual and leads with the pair language, unlike the card's English buttons: those name what she is learning, this is an instruction for operating Petal, like the status bar. Key names are as printed on her keyboard (Entrée, Suppr, Intro, Supr). The es pack's own punctuation test caught the "?" and is right in general; the key cap is one named exemption. Verified in a real browser at 1517x810 on a fresh database with no model, over CDP — a keystroke feature deserves real keystrokes. Both layouts, wrap in both directions, the accept/dismiss/advance loop, Ask Petal and back, the full triage-to-empty criterion, and Accept-all clicked from a keyboard card. The wiring has no unit test for the reason items 6, 7 and 8 recorded: jsdom has no layout. triage.ts is pure and tested; browser-verified is written down as browser-verified. Claude-Session: https://claude.ai/code/session_01GJHNvirh7Hzhc9RL3HAvz7 |
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prosolis
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8f2ad34a10 |
Four ways the two scripts weren't the same app, and a smaller cat
A review of the pair work found the seams — every one of them a place where
the Chinese half was written and the older Latin half was left standing.
The right-click menu still asked the Latin tokenizer whether there was a word
under the pointer, so right-clicking a hanzi opened the browser's own menu
instead of the card. Hover, long-press and Ctrl+D had all moved to the shared
resolver; this one hadn't, and it is the surface the segmenter's own header
names first.
isHan is a property escape precisely so the extension blocks are covered, and
then every call site handed it one UTF-16 code unit — half a surrogate pair
for anything above the BMP, which \p{Script=Han} rightly says is not Han. The
run split in two around the character and the words either side stopped being
looked up. The walk, the scan and wordAt now step by code point, the regex is
anchored, and the test that passed by accident (unanchored, so it searched a
two-unit string rather than testing one character) is joined by one that
would have failed.
The pair picker sent the pair alone. The server validates pair and direction
as one decision and refuses a learner direction for a pair it has no word
list for — so an English speaker learning Chinese could not move to French at
all: every button failed with the generic message. It now names both, keeps
her direction where the target pack has a learner side, and returns her to
learning_en where it does not. Routed through useSession rather than the
picker's own api call, so me.direction — which decides whether the word list
stays loaded — moves with it.
UpdateMe answered every error from Get with 401. A SQLite fault on a PATCH
would have tripped the client's session interceptor and thrown a writer into
the signed-out overlay while her session was fine. Only a missing row means
not signed in, which is the distinction SetPair already made below it.
emitCommittedRef was assigned during render and called later from
compositionend; a render React discards must not leave its closure behind for
a DOM event.
And the kitten is 10% smaller — one clamp, three terms, everything else
calc()s off it.
vitest 297/297, tsc, go build/vet/test clean.
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prosolis
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c348a9b8ae |
The keystroke that isn't one: IME composition guards
Phase 26 scoped these and left them unbuilt, naming them as the likeliest thing to be wrong the first time anyone types Chinese into Petal for real. A composition is not a keystroke: the pinyin goes into the document as it is typed, a candidate window sits over it, and all three decoration layers recompute from the live document on every change — rewriting the DOM around the node the browser is composing in, which is what eats half-typed input. The layers now hold their redraws rather than skip them: a rebuild that falls due mid-composition marks itself stale and its decorations are mapped through the transaction, so they travel with the text and land correct the moment the composition ends. The flag is read from the state before the transaction, so the answer doesn't depend on plugin ordering; the end transaction is the one deliberate exception, or nothing would ever release. The release is a macrotask late because a custom handleDOMEvents handler runs before ProseMirror's own and ProseMirror flushes the composition's last changes in a microtask — so the held rebuild sees the committed hanzi, not the pinyin it replaced. Input rules needed no guard (Tiptap already returns early while composing), which was checked rather than assumed: pinyin uses an apostrophe as a syllable separator and Typography rewrites every ' into a curly one. The save is deliberately not gated and the analysis is. A tablet keyboard can hold one composition open for a whole sentence, and Petal never makes writing wait for anything — so EditorChange carries the flag, auto-save ignores it, and the checkpoint, rule pack and companion wait for the word to commit. One more change is emitted the instant it does, so nothing is skipped. Four places were taking keys that belong to the IME: the Find bar, the tag picker, Ask Petal's chat box, and distraction-free mode's global Escape. vitest 296/296, tsc, vite, go build/vet/test clean. Not verified with a real IME — no browser or IME here, and that is the half the tests cannot reach. |
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prosolis
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77f284f65c |
The zh pair's other direction, and a rule pack that mostly says no
`pair_lang` had always been answering a second question nobody asked: it says which two languages, and every surface built on it assumed English was the one being learned. That is why hanzi is never tokenized, never spell-checked, never glossed — correct for a Mandarin native practising English, backwards for an English native practising Mandarin. `users.direction` (migration 0016) separates the two questions; a `zh-learner` pair code would have been cheaper and would have made two directions of one pair look like two unrelated languages to every query. Segmentation is what replaces `wordAt` where there are no spaces: a shortest-path walk over log-probabilities, 232 ms and 14 MB for 188,522 words. The browser gets the word list because segmentation runs on hover; the server keeps the whole dictionary. Their coverage gates come out opposite on purpose — the client list is frequency-gated because the segmentation is measurably identical without the tail, and the dictionary is gated by nothing, because its only power is to explain and the word a learner stops on is the rare one. The 错别字 pack is 24 confusable pairs behind two mechanical gates. One admits a pair only if the wrong form is not a dictionary word and the right form is, which is why it refuses 自已 for 自己 — a real error whose wrong form is a headword. The other asks the segmenter whether the two characters already belong to two different words, without which 自己经常, 睡觉的时候 and 不知到底 would all be corrupted silently into text still made of real characters. Not deployed (this carries a migration), not seen in a browser, and no account has ever been in the learner direction. The IME composition guards were in scope and are not done — see BUILD_PLAN Phase 26. |
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prosolis
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9224c44fff |
The es pair, and a dictionary that was quietly Spain's
Phase 25. Spanish was never built — the groundwork was all [x] (DreamDict data, the prompt language, the L1 rule gating, TTS env-discovery), which is why the plan read as though it had shipped. shippedPairs was the honest answer: the server had been refusing es on purpose. The langpack is neutral Latin American, chosen with the user: tú, ustedes, no vosotros, and the pan-American half of every vocabulary split. A vitest greps for the peninsular twins the way fr is greped for québécismes — including coger, which is not merely regional but obscene through most of Latin America. The dictionary is the story. Debian's hunspell-es symlinks twenty country codes to one file, which reads as pan-Hispanic; RLA publishes twenty-four builds per release, one per country plus a generic es that is the union, and Debian ships peninsular es_ES. The 58,622-form gap is essentially voseo, so the first version of this commit underlined vení and tenés as misspellings and called it a considered gap. The MUST_ACCEPT list was written to catch exactly that and structurally could not: it asserted the pan-Hispanic vocabulary, and every RLA variant carries the full pan-Hispanic vocabulary — only the paradigms are localised. The REP table cited as the second witness is shared by all builds too. Two independent-looking proofs, neither able to distinguish anything, agreeing with each other. The profile now demands what discriminates, each verified against the build it targets: voseo rejects es_ES and Debian, vosotros rejects es_MX, and arepa/chévere/bacán reject es_AR, which has both paradigms and would otherwise pass. 717,640 forms, 1.74 MB gzipped, 762 ms / 97 MB in a real nspell. fr and pt-PT rebuild byte-identical from their own upstream debs, so the shared script still means what it meant. Shipping the union is fr's call arrived at from the other side: coût and cout are both correct French, tienes and tenés are both correct Spanish. The dictionary holds every variety because underlining is all it can do; the copy picks a register because speaking requires one. Reviewed by four models at the usual >=2-of-4 threshold, 5 of 27 findings applied — one catching the bedtime proverb as fr's Qui dort dîne calqued into Spanish, gloss and all, which is the rule the fr header states. One below-threshold finding (a missing ¡, seen by 1 of 4 because an absent opening mark has no closing ! to look wrong against) was applied and turned into an assertion instead: the suite now rejects any native line that closes ? or ! without opening one. piper-es on es_MX-ald-medium, not the es_ES-davefx-medium the plan named — six of Piper's nine Spanish voices are peninsular, so the obvious pick was the pt-PT trap through a different door. go build/vet/test, tsc, vite, vitest 251/251. Not deployed, not seen in a browser, not read by a native speaker, and no es account exists. |
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prosolis
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bd92cdc9b6 |
A whole category accepted in one click, and one undo
Five article fixes were five clicks, five confetti bursts and five undo steps. "Accept all Tidy-up (5)" makes them one of each. The single undo decided the implementation: every replacement goes into one Tiptap chain, which applies as one transaction and so undoes as one history event. That only works if the spans can't move under each other, so the plan resolves every span against the document as it stands and applies them last-first. Three outcomes rather than one, because a batch that quietly dropped a card would be reporting edits it never made: a span she already fixed herself is settled without an edit (what a single Accept does too), and a card quoting the same words as one already taken is left on screen, since findRange would resolve both to the same place. The control sits on the first card of its kind — the rail can't carry a category header, its cards are anchored to their own sentences — and only when the category has company. It is outlined rather than filled: it acts on cards she can't see from where she's standing. |
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prosolis
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b2d50e9136 |
A dismissed card stays dismissed, even offline
The server already suppressed every span she had accepted or dismissed, on
both the LLM reconcile and the mechanics pass, with tests either side. What
had no memory was the half that never asks it: item 3b's rule pack renders
250 ms after a keystroke with no network, and its record of "she already
answered this" was a set cleared on every document switch and added to only
for cards dismissed while still provisional.
So dismissing a persisted rule-pack card recorded nothing client-side and the
next keystroke put it straight back until the server's reply removed it again;
and after a reload the client knew nothing at all — permanently so with the
server unreachable, which is the case the rule pack exists for.
GET /docs/{id}/settled hands over the normalized originals of the document's
actioned rows, scoped through documents because an original quotes her
sentence. The client seeds a SettledSpans from it on open and adds to it for
every card that leaves, keyed on the original alone the way the server keys
it. The load adds rather than assigns, so a dismissal made while it is in
flight survives it.
normalizeForDedup now exists in both languages, compared across a network
boundary, so the same nine cases are asserted on both sides and each test
names the other.
Also: the status-bar count — "🌸 5片花瓣待打磨 · 5 petals to polish" beside the
word count, from the packs, hidden at zero. An empty rail already says nothing
is waiting; a badge announcing it after every check is a verdict, which the
review's non-goals rule out.
Verified in Chrome at 1517x810 with the server killed: a new violation was
detected, underlined and counted with no network, while the dismissed span
stayed gone.
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prosolis
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978cb80642 |
Ask Petal answers in both languages, with room to read
The tutor prompt said "never mix languages in a single response" and mirrored the language of the question, so asking in English — which she does, because she is practising — returned the one explanation surface that gives nothing in her own language. It now answers in both, pair language first, halves separated by a blank line. Which half is the safety net and which is the lesson depends on who is writing: the pair is (English + X) and Petal is used from both ends, so the prompt asks for both and says it doesn't know which way round. The split is a rendering nicety, never a parse the reply depends on: a half-streamed reply is all one half, a model that ignores the instruction renders as one block, and nothing is ever dropped. For the height, the first attempt clamped the box to the room left below the anchored card so it could never overhang — measured, that gave 176px against a 442px answer, worse than the 220px it replaced. The card's own chrome spends ~290px of an 810px window, so "fits below the word" and "room to read" are not both available. The ceiling is now a flat 50vh and the overhang is made navigable instead, per item 4: the card reports its reach like the rail already does, the column grows, and the page can scroll to the actions below it. |
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prosolis
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f082a930cb |
The rail is a mode, not a screen size
Item 7 said to confirm before building, and confirming is what mattered. The rail's 348px threshold is measured against a fixed 720px column centred in the pane. The doc-list sidebar is 280px, so at her 1517px viewport the right margin is 258 with it open and 406 without — either side of the threshold. What moves between them is distraction-free mode, which engages on its own when the editor takes focus. The rail therefore appears when she starts writing and disappears when she stops; items 4 and 5 disagreed about whether it exists at 1517px only because they caught it in different states. Re-centring a fixed-width column changes its position and not its size, so the wrapper's ResizeObserver reported nothing and no window resize fired. railEnabled kept whatever value it last had. Leaving distraction-free with the rail up left a 300px column in a 266px margin: overhanging the viewport by 66px, cards clipped mid-sentence, the page scrolling sideways. Entering it with the rail down opened 406px of margin and put nothing in it. Both persisted until something else happened to resize the window. Observe the scrollport too — it spans the pane, so it resizes whenever the chrome around the editor does. That covers any future chrome that moves the editor, which threading focusMode down as a prop would not. Clicking a highlight now opens the anchored card even when the rail is up. That is the item's own acceptance criterion and was previously false by design; the measured distance from the first flagged span to its rail card is 651px, not the ~400 the review guessed. Hover still defers to the rail, since the reasoning against an unbidden second card was about hover and still holds — but a click is her asking to deal with that word. The rail card glows instead of expanding, so nothing is ever open twice. Verified in Chrome at the review's own 1517x810, driving the rule pack from item 3b so no model was involved: the rail follows the mode in both directions with no resize event anywhere; the popover lands 6px under the word with the full explanation, Ask Petal, Accept and Dismiss; accepting from it applied the edit and took the rail 6 cards to 5, leaving the rest with their ids, positions and wording intact. railFit.test.ts pins the threshold to the margins actually measured. The observer wiring has no unit test and can't have a useful one: jsdom has no layout, so every rect is zero and the rail branch is unreachable there. That half is browser-verified only, and the doc says so. |
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prosolis
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25e415daa2 |
When she writes in Chinese, say Translate — not Clarity
She reaches for her own language mid-sentence when English won't come, and Petal already handled it: it found the span and rendered it into English. It just filed the result as a Clarity fix, so the pair model's flagship moment read as tidying up her Chinese. The type is now derived from the span rather than asked of the model. A type is structural, and a model that re-reasons every pass would drift between labels for a sentence nobody had touched — the instability the last session spent itself removing. The label the model volunteers is still ignored. Only the grammar checkpoint can be promoted. A pass with a forced type owns its family: voice reads paragraphs for tone and its rows carry no replacement, so a "translation" there would be a card offering nothing to accept. zh is a different script and counting Han runes is close to certain. The Latin pairs share an alphabet with English and get none of that, so they fall back to function words and need two before Petal claims anything — with every word that is also English left out, even the common ones. The heuristic is justified by how cheap being wrong is: it changes a coloured pill, and nothing else. The pill is the one bilingual type name in the rail. Every other type stays English because those are the terms she is learning; this card's whole subject is her own language. And it stops truncating its two lines — elsewhere the diff is a word and the explanation is what she reads, but here the two sentences are the card. Two things only the running page could report. The inline underline was invisible: the decoration carries a per-type class and the base rule is a transparent border, so a type with no colour rule gets no mark at all. And at 1517×810 with the document list open there is no rail — the margin is 258 where railEnabled wants 348 — so what she gets is the inline hover card. Item 7 is written the other way round. Migration 0015 rebuilds the suggestions table for the CHECK, which makes it the first one here that could quietly drop her rows; there is a test that carries every column, both timestamps and both indexes across it. Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua |
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prosolis
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de251ceae2 |
Make the suggestion rail's overhang reachable, and keep the text in view
The margin rail hangs off an absolutely-positioned column, so its cards add no layout height. On her live document that meant four 173px cards anchored inside 126px of text: a 714px stack over a page whose scrollHeight equalled its clientHeight. The lower cards weren't far from their sentence, they were off-screen with nothing to scroll. The rail now reports how far its resolved stack reaches and the wrapper takes that as a minimum height, so the space those cards occupy is real, scrollable page. minHeight never shrinks the column, so a rail that fits beside its text is unaffected. Scrolling into that space would have carried every sentence off the top, so the prose is pinned while the stack overhangs it. The offset is min(0, port - content): prose shorter than the viewport pins at the top, taller prose pins by its bottom edge, keeping the last lines visible — those are the ones the overhanging cards flag. The prose box has to stay at its natural height. Keeping the old h-full made it measure the wrapper this change had just grown, reporting the cards' height as the text's own, so the pin could never trip. Verified in a browser at the review's 1517x810, driven offline by the rule pack: 8 cards over 95px of prose gained 675px of scroll where there was none, the last card lands fully in view with the text still on screen, tall prose pins bottom-anchored without disturbing ordinary scrolling, and hover-linking still glows the right span. Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua |
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prosolis
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c33de1175b |
Render deterministic rule hits instantly, not on the LLM's clock
The rule pack in prose.ts already found "a apple" — articles, pluralAfterNumber, subjectVerbAgreement, uncountables are all there, and they already surface as real mechanics cards. But mechanicsFindings only ran inside runCheck, behind the same 4s checkpoint debounce as the model, and only reached the screen via the server's reply. A free, instant, offline-capable detection was being delivered on an LLM-shaped delay. The rule pack now runs on its own 250ms fuse and renders its findings with no network at all, as provisional cards. The mechanics submit follows; its reply is authoritative and clears them. If the reply never comes — offline, server down — the cards simply stay, which is the whole point of having rules that need no model. Provisional cards are keyed by wording rather than position, so one can't flicker into a duplicate of its own persisted twin while she types around it. resolveServerId maps a card to the row the API can act on, awaiting the in-flight submit, so accepting inside that window still records the keep and plants its word in the garden instead of being quietly dropped; null means there is no row and the edit has landed regardless. Findings she actions while provisional are remembered client-side, because the detector has no memory between runs. runCheck no longer re-submits what the fast pass already filed — it's the catch-up path for when that submit failed. The arrival chime keys rule-pack cards by wording too, so a finding doesn't chime once as provisional and again as persisted. Not done, deliberately: no distinct style for unconfirmed local hits. The rail renders both engines identically on purpose, and a provisional card now lives for one LAN round-trip. Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua |
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prosolis
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be9aa13287 |
Kitten yields to panels too; redo bug not reproducible
The overlap hook only watched .petal-rail-card, so the History and Garden
drawers still sat under the mascot — with a real control ("写作证明 ·
Writing passport") buried under the halo on the live build.
Match [role="dialog"][aria-modal="true"] as well. Both drawers already
render it, so this covers them and any future drawer without a selector
list to keep in sync.
Two things the follow-up note didn't anticipate:
- The hook now reports { cards, modal } separately. A card overlap still
lets the kitten wake for a bubble; a modal overlap yields
unconditionally — a cheer isn't worth covering the panel she just
opened on purpose.
- The speech bubble is its own layer, so fading the badge didn't hide it.
Hold it back while a panel is open; useCompanion keeps it in state, so
it reappears when she closes the panel.
Also guard the poll's setState on value equality, so the 500 ms tick
stops re-rendering the companion for an unchanged answer.
UX_REVIEW item 1 (redo does not re-apply an accepted suggestion) is
recorded as NOT REPRODUCIBLE. Read the prosemirror-history state directly
and hooked view.dispatch: redo works pressed immediately, after an 18 s
pause that lets a full re-check land, and with the editor never focused.
The doc's hypothesis is false — every re-check transaction is
decoration-only, which prosemirror-history ignores, and canRedo stayed
true throughout. Two real findings from that dig are written into the doc
instead: keyboard undo dies when focus isn't in the editor, and an undone
suggestion stays accepted server-side so its card doesn't reliably return.
Item 5's premise is also partly wrong and now re-scoped: the Chinese
sentence does produce a card with an English rendering, just labeled
Clarity rather than a first-class Translate type.
Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua
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prosolis
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ec9fba9252 |
Kitten yields to cards: fade, shrink, click-through; plus UX review doc
When a suggestion card drifts into the mascot's corner, the kitten turns translucent (15%), steps back 10% (standalone `scale` so it composes with the bob animation), and lets clicks pass through to the card. It wakes while its bubble or the picker is open, or once the corner clears. Also adds UX_REVIEW_2026-07-27.md — the hands-on review of the live deploy turned into implementation-ready items (repro, location, fix, acceptance). Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua |
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prosolis
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ac1c6cddb0 |
French dragged her whole page sideways
The bug reads as a language-picker bug — switch off Mandarin on a phone and
the writing starts scrolling left and right — but the picker only changes
how wide Petal's own chrome wants to be. Every pill says its thing twice,
历史 · History against Historique · History, and every pill is nowrap and
shrink-0. So the title row's width is a property of the langpack: 459px in
Chinese, 551px in French, 506px in Portuguese, against the 338px column a
390px phone gives it. That row lives in the editor pane, and a pane that is
overflow-y: auto has an overflow-x of auto too, whatever the stylesheet
says. The overflow had nowhere to go but the page of writing.
Chinese was already 120px over. French is simply where it stopped being
possible to ignore.
The pills now live in a strip that scrolls itself, with overscroll-behavior
so a swipe off the end doesn't turn into a page gesture. What that buys is
the thing worth keeping: every label stays bilingual at every width. The
first version of this fix dropped the English half on phones, which fixed
the geometry by taking away the half she is learning from — on the device
she writes on most.
A scrolled pill that has left the screen is indistinguishable from a pill
that isn't there, so each edge with more behind it fades, the same hint
.petal-toolbar gives with its clipped right edge, except this row can be
scrolled from either end and has to point the right way. ChromeStrip sets
data-edge from the scroll position and re-measures when the pills resize —
which is also what catches every label changing width at once when she
switches her pair.
The tone and export menus had to leave with them. A scroll container clips
its absolutely-positioned children, so both menus would have been trapped in
a 36px-tall box; they anchor against the viewport now.
Two smaller ones the same measurement turned up:
- The header overflowed the viewport itself below 360px — a real
page-level scroll, 40px of it at 320px, off 🌷 Jardim de palavras ·
Garden. Narrower padding on phones, and under 360px the wordmark
yields. Of everything in that row it is the one thing that can go: she
is already inside the app, and the blossom stays.
- The language picker wanted 307px inside a 280px drawer and spilled out
of it. It wraps now. That one was broken in Chinese too, at 291px.
Verified in a real browser rather than by arithmetic: 310px to 780px in 10px
steps, in all three packs, no page overflow and no editor-pane overflow at
any width. Edge fades flip correctly, the export menu opens unclipped with
the strip scrolled to its end, tsc clean, 195 frontend tests pass. Desktop
is untouched — one 40px header row, as before.
Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua
|
||
|
prosolis
|
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
|
||
|
prosolis
|
be1ab5cef7 |
Her apostrophe was cutting French words in half
Typography.ts rewrites every ' typed in the editor into a curly ’, but both word regexes only counted the straight one. So "aujourd’hui" reached the dictionary as "aujourd" + "hui", neither of them a French word, and one of the commonest words in the language came back wearing two red underlines. Same for quelqu’un, presqu’île, prud’homme. l’arbre only survived by accident, because "l" happens to be a bare entry. withElision, written for exactly this, could only ever fire on pasted text. Both marks are word characters now, and combine() straightens on lookup — the one place every lookup passes through — since the shipped word lists spell theirs straight. Suggestions come back wearing whichever mark she actually used, so accepting a pill never swaps her apostrophe. œ was untokenizable too: U+0152/U+0153 sit outside the Latin-1 ranges, so "cœur" split into "c" + "ur" and the orphan was long enough to underline. 586 œ forms ship in fr.dic.gz and not one of them was reachable. In the dictionary builder, the two cross-product paths added their forms without the NEEDAFFIX check the single-affix paths apply, so a doubly-affixed form that is still "not a word on its own" was accepted anyway — the exact class of error the FLAG-aware rewrite exists to close. PFX and SFX are also separate flag namespaces, and one shared `cross` dict let the second block overwrite the first. Odd-length long-flag strings now stop the build instead of dropping a character and expanding through the wrong paradigm. The pt-PT and Québécois greps were case-sensitive against sentence-cased copy, which let a leading "Actualmente…" through the guard added to catch it. Note: this changes what the expander produces, but fr.dic.gz and pt-PT.dic.gz are vendored and were built with the old behaviour. Both want regenerating on a box that can fetch the upstream .deb, and BUILD_PLAN Phase 24's "pt-PT rebuild is byte-identical" claim re-checked — if those bytes move, the NEEDAFFIX gap was live in the Portuguese list too. Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua |
||
|
prosolis
|
071ea7b835 |
Petal learns French, and the pack that shipped was misspelling itself
Phase 24, the fr half: langpack, Hunspell dictionary, Piper voice, and the lexicon coverage that turned out to have been measured already (63.1%, better than pt-PT's 62.1%). No migration; not deployed. The plan recorded that build_ptpt_dictionary.py "generalizes" to French. It did not. It handled single-character flags and plain PFX/SFX and stopped on everything else, and fr.aff uses four of the things it stopped on. FLAG long is the dangerous one: French flags are two characters, so the old reader's set(flagstr) yields a bag of unrelated letters and expands every entry through the wrong paradigm without ever erroring. Plus continuation flags (French really does affix an affixed form), NEEDAFFIX on 68,075 of 84,140 stems, and FULLSTRIP. Renamed build_hunspell_dictionary.py with a per-language profile, asserting that CIRCUMFIX and FORBIDDENWORD are still unused rather than assuming it — and it rebuilds pt-PT byte-identical to the shipped asset, which is the only thing that makes "generalized" a claim rather than a hope. Elision was decided by building both halves and measuring. Keeping l'arbre and its thirty-three siblings: 3,159,832 forms, 8.25 MB gzipped. Dropping them: 473,326 and 1.19 MB. They are not new words, but the tokenizer keeps internal apostrophes, so they genuinely would have been underlined — so they moved out of the dictionary into withElision, which splits at a known clitic and still requires the remainder to be a word (l'zzzz stays flagged). Real nspell: 369 ms and 74 MB, against pt-PT's 842 ms and 139 MB, on the larger language. Where the regional trap lives is the mirror image of Portuguese's: every fr_* Piper voice is fr_FR and Debian's fr_FR/fr_CA/fr_BE dictionaries are one shared word list, so nothing can be quietly wrong about the country and the whole decision sits in the copy. What French has instead is the 1990 reform, packaged three ways; comprehensive ships, because Petal never corrects her French and coût and cout are both correct. Then the interim review pass, at the user's suggestion and explicitly "for now": four models read each Latin pack independently, and only findings at least two of them reached on their own were applied — five per pack. It earned its keep on the pack that was already live. pt-PT was carrying pre-Acordo spellings (adjectivos, actualmente) in a file whose own header commits to post-Acordo, plus Brazilian decepção, because the Phase 21 greps checked for Brazilian vocabulary and never checked the pack against its own spelling policy. That grep now exists and was confirmed to fail on the old text before being kept. Where reviewers agreed a line was wrong but split on the fix, the wording is mine and the reasoning is in BUILD_PLAN rather than averaged away. Still owed, and both packs now say so precisely: a quorum of models agreeing is agreement, not authority. No native speaker has read either pack, and none of this has been seen in a browser. go build/vet/test clean, tsc, vite build, vitest 190/190. Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua |
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prosolis
|
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
|
1bbc8fc8d3 |
Finish Phase 22: the half of Petal that works with the tunnel down
Grammar lite, the false-friend list, the daily invitation and the offline miscollocations — the four remaining §5–§6 items, all client-side and all alive on a box that cannot reach the model. The offline collocations forced a schema change. `type` had been doubling as the answer to "which engine found this" — `mechanics` meant offline — and that stops being true the moment an offline rule proposes a collocation. Migration 0013 adds `source` (llm | local) and every pass now scopes its DELETE by engine; without it the coach silently wiped every offline chunk on the page. Existing rows backfill by type, so a pre-0013 collocation row is claimed as the coach's, which it was: the offline list did not exist yet. The rule pack is hand-curated rather than mined, and the entries left out are the point — `married with` is wrong until "married with children", `arrive to` wants at or in depending on the noun. A pack running on every keystroke must not correct correct writing. Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua |
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|
prosolis
|
e9b8595456 |
Let the garden keep what she was given, not only what she sought
Two halves of the same idea, both read out of work Petal already records. Planting: an accepted collocation is a learnable chunk, so it becomes a phrase card. The scheduler didn't need to know — a three-word chunk climbs the ladder exactly like a looked-up word. What needed care was deciding what *isn't* a chunk (single words are word choice; a six-word-plus "collocation" is a rewritten sentence, and sentences make miserable flashcards), and that the example must be the *corrected* sentence — the stored draft still holds the phrasing she just left behind. Re-accepting the same chunk leaves the existing card alone rather than resetting a schedule it has been climbing. The whole thing is best-effort: accepting an edit must never fail because a flashcard couldn't be made. The growth journal: kept this month beside kept the month before, the phrasing that stuck, the patterns that faded. The queries were the easy part; the honesty is the feature. "Stuck" needs the phrase in a *second* document, because one document is just the edit where she left it. "Faded" says nothing at all unless she has been writing lately — otherwise a month away from Petal comes back to her as progress, which is the one way this could lie. And a suggestion had to start recording when she *decided* it, not when the model proposed it, so 0012 adds resolved_at and backfills the old rows to their created_at. It lives as a second tab in the garden, and it feeds the kitten: after an accept she now sometimes hears something true of her alone, once per line, half the time, never waited for. Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua |
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prosolis
|
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
|
ccb43e5a4d |
Phase 21: Petal learns to be an English+Portuguese pair
The plan said "Hunspell pt-PT vendored like en-US". Measuring that first is what saved it: nspell expands affixes eagerly on construction, and European Portuguese's 1,340 rules over 44,257 stems want over a gigabyte of browser heap — ~340 MB for the first 12,000 entries, and no return at all after three minutes on the whole file. So the expansion runs once at build time instead: 1,039,058 forms, 2.66 MB gzipped, read by the same nspell in 842 ms. The obvious npm package would also have shipped the wrong language. Both dictionary-pt and dictionary-pt-br carry VERO, the Brazilian word list, so vendoring by name puts pt-BR spellings behind a pt-PT label — the drift SUGGESTIONS §3 warns about, arriving through the packaging where no reviewer can see it. The source is Projecto Natura's, and the build script now asserts the fault lines (receção in, recepção out) before writing anything. Spellcheck consults both dictionaries and flags only what both reject, which is the no-detector answer to a pair with no script boundary. The word card does the same in the other direction: "data" is a word in both languages, so Petal shows both readings rather than guessing which she meant. Writing the tests caught the one real bug — extendedAlphabet was a snapshot while correct/suggest read live, and her dictionary arrives after English, so every lookup would have resolved "cora" while the underlines were already right. Not done, and not claimed: the pack has not been read by a pt-PT speaker, and the Piper voice is deferred with the deploy. Claude-Session: https://claude.ai/code/session_016y6gyuHkQXPiEuW8RGQyua |
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prosolis
|
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
|
336cae93e0 |
Phase 19: the copy stops being hardcoded Mandarin
Every `中文 · English` string moves out of ~29 components into web/src/i18n: one Pack type, a verbatim zh pack, and two ways to read it — usePack() for components, pack() for the modules that build a line when something happens rather than when something renders. Anything with a value in it is a function on the pack rather than a template at the call site, English pluralisation included: word order isn't universal, and a pack author has to be able to move the number. The roster constants (tones, rewrite styles, export formats, companions) keep only value + emoji, so a label can't drift from its key. On the server, internal/llm/lang.go replaces "Simplified Chinese" in the three prompts that actually name her language. pt-PT is spelled "European Portuguese (pt-PT, never Brazilian Portuguese)" in the prompt itself, and each Lang carries her word for "why" so the tutor prompt still recognises the question when she asks it her way. pair_lang reaches the model through the row-scoped query each handler already ran — the one that proves she owns the document — rather than a second lookup that could disagree with it. Also records Phase 18's deploy: migration 0011 rehearsed against a copy of the live VPS database, then applied for real. |
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prosolis
|
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
|
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
|
78ed1dd281 |
Writing passport: evidence of process instead of an AI score
She's submitting work that gets run through an AI detector and wants to pre-check she won't be wrongly flagged. Petal should not answer that with a detector of its own: they misfire badly on non-native English (Stanford 2023 found >50% of TOEFL essays flagged as AI vs. near-zero for native writers), so a percentage aimed at an ESL writer is worse than nothing — it either scares her off her own voice or gives false comfort. So the artifact is provenance, not a verdict. Petal already snapshots every ~3 minutes; this turns that history into a standalone printable report: session breakdown, word-count growth, span, active time. No score is emitted anywhere. Two schema additions back it. preserve_history opts a document out of the 40-snapshot prune cap — right for recovery, wrong for provenance, where you want the whole span including the oldest rows. content_hash/prev_hash chain each snapshot to the one before it, so a history edited or thinned after the fact fails verification. Pruning legitimately severs links, so a link break reports as "gaps" unless preserve_history is on; only a hash that fails against its own contents is unconditionally "broken". The chart's x axis is snapshot order, not wall-clock, and that is the load -bearing decision. On a linear time axis an essay written in three sittings across three days renders as three vertical cliffs separated by empty space — visually identical to text pasted in three chunks, i.e. the report would have argued the opposite of the truth. Breaks are compressed into explicitly labelled gutters instead. TestChartGivesWidthToWriting pins it. The report volunteers its largest single word-count jump and states its own limits: it cannot show who was at the keyboard, or whether typed text was composed or copied in. Overclaiming would be self-defeating — a reader who catches it overstating discounts all of it. HTML rather than server-rendered PDF, as with the other exports: a CJK-safe PDF needs an embedded Unicode font or a headless browser. Print styles are there so the browser's Save as PDF is the handoff path. Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd |
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prosolis
|
cb8f132d43 |
Spelling popover: right-click corrections + robust word resolution
Resolve the misspelled word from the click/right-click position and the checker rather than from the .petal-misspelling DOM span: clicking a word moves the caret into it, which fires the decoration rebuild that deliberately un-underlines the caret word, so the span is already gone by the time the handler runs. Factored into openMisspellAt(pos), which only opens when the checker actually flags the word, and is gated to clicks inside .petal-prose so a click on a floating card doesn't resolve a word hidden behind it. Right-click now offers spelling corrections first on a misspelled word (the familiar "did you mean" gesture), falling back to word lookup otherwise. AskPetal: focus the input with preventScroll so opening the card doesn't jump the document to the top. Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd |
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prosolis
|
96f68a91ee |
Add deterministic mechanics suggestion family (rule-based, no LLM)
Reuse the companion's prose.ts rules engine as the single source of
deterministic detection instead of duplicating it. Applyable rules now
also emit exact-span fixes (original -> replacement) that surface as
suggestion cards; awareness-only rules (run-ons, splices, ...) stay
companion bubbles. The companion hides fix-bearing hints so a span is
never both a bubble and a card.
Spans are widened to a distinctive phrase ("a old" -> "an old",
"She have" -> "She has") so they re-anchor by string in the editor; a
lone lowercase "i" stays awareness-only since a single char can't anchor.
Backend: detection lives client-side, so the new persist-only
POST /docs/{id}/mechanics endpoint receives findings and stores them as
the 'mechanics' family with their exact offsets. It honours
actioned-suppression, leaves the LLM families untouched, and a checkpoint
no longer wipes it. fetchPending dedupes spans with mechanics winning any
collision against an LLM card (its span is exact). Migration 0008 adds the
'mechanics' suggestion type.
Client renders the mechanics fixes immediately (no LLM wait) and the cards
use a calm sage "Tidy-up" accent.
Verified end-to-end in a real browser on millenia: detect -> persist ->
render -> accept applies the fix.
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
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prosolis
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8be852ddf2 |
Add a status-bar toggle to disable the falling petals
Some people find the drifting ambient petals distracting rather than cozy, so make the whole PetalFall layer opt-out-able from a 🌸 toggle sitting just left of the sound toggle in the status bar. Mirrors the existing sound-mute pattern: a tiny localStorage-backed pub/sub (effects/petals.ts) drives a PetalsToggle twin of SoundToggle. PetalFall subscribes to the setting, stops animating and wipes the canvas when off, and the choice persists across reloads. Works in both day (petals) and night (stars) modes. Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd |
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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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4161830da6 |
Code-review fixes for collocation coach + vocab garden
Correctness: - useCheckpoint: clear the busy flag unconditionally so overlapping explicit passes don't strand each other's spinner; explicit actions now also supersede a queued auto-check and clear the stranded "checking" dot. Deduped runVoice/runCollocation into runExplicitPass. - EditorCore: token-guard the auto-capture so a late capture can't resurrect a removed word; move toggleSaveWord side effects out of the setWordInfo updater (StrictMode double-fire); fix sentenceAround offset desync via shared exampleAt (textBetween + parentOffset, single resolve); optimistic saved state so the heart doesn't flash unsaved. - vocab capture: normalize word to lower+trim (matches lexicon) so "Apple"/"apple" don't make duplicate cards; check rows.Err() in queryList. - GardenPanel: Promise.allSettled so a /due failure doesn't blank the whole garden; scrim click during review ends the review (mirrors Esc); gate footer on !error; O(1) due lookup via a Set. Features requested in review: - Definition-only review card: add vocab_words.definition (migration 0007) as an English fallback meaning, threaded through capture and used by review/garden when there's no Chinese gloss. - Scheduler caps: maxEase 3.0 + maxInterval 365d so "easy" growth can't push a word out of rotation for years. Tests: TestCaptureCaseInsensitive, TestCaptureStoresDefinitionFallback, TestCapsBoundGrowth. go build/vet/test, tsc, vitest 51/51, vite build clean. 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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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 |
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prosolis
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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 |
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prosolis
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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 |
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prosolis
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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 |
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prosolis
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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
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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
|
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 |
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prosolis
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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 |
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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 |
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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 |