69bf3ffde1687debce604ba5875fc2f5adeb8e23
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Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 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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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. |