Deploy: LanguageTool spell checker in production, with optional n-grams
- docker-compose.yml: a `languagetool` service (erikvl87/languagetool:6.8),
internal only, 1 GB heap, one CPU, a 28 GB memory limit that is room for the
n-gram page cache (reclaimable, not memory in use), and a low-priority
warm-up read of the n-gram files at start so first checks hit RAM even on
mechanical disks. `init` creates $DATA_ROOT/languagetool-ngrams; the app
containers get LANGUAGETOOL_URL (empty turns the check off).
- `webmail.sh ngrams [langs]` (default en de fr es): deploy/ngrams.py, run in
the backend image, downloads LanguageTool's n-gram data with resume, checks
free space first (unpacked is ~2x the zip: ~26 GB for all four), unpacks into
a temp folder and moves it into place, then recreates the engine to load it.
languagetool.org refuses Python's default User-Agent, so it sends its own.
- `doctor` reports whether the spell checker answers and which n-gram
languages are installed.
- docs/nas-install.md and .env.prod.example describe all of it.
Verified locally: German n-grams (1.58 GB -> 3.06 GB) load, and catch what the
rules alone do not ("liegt ihm Schrank" -> im, "Der Patenten" -> Patienten).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
@@ -0,0 +1,150 @@
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"""Download and unpack LanguageTool n-gram data (run by `webmail.sh ngrams`).
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Runs inside the backend image (any Python 3 will do) with the n-gram folder
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mounted at /ngrams; usage: ngrams.py [lang ...] (default: en de fr es).
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Per language: skip it if already installed, check free space, download with
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resume (an 8 GB transfer that drops halfway picks up where it stopped), verify
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the size, unpack into a temporary folder and move it into place in one step —
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LanguageTool never sees half a language — then delete the zip. Python's zipfile
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rather than unzip: BusyBox unzip cannot be trusted with an 8 GB ZIP64 archive.
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"""
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from __future__ import annotations
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import os
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import shutil
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import sys
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import time
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import urllib.request
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import zipfile
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from pathlib import Path
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BASE = "https://languagetool.org/download/ngram-data/"
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FILES = {
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"en": "ngrams-en-20150817.zip",
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"de": "ngrams-de-20150819.zip",
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"fr": "ngrams-fr-20150913.zip",
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"es": "ngrams-es-20150915.zip",
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"nl": "ngrams-nl-20181229.zip",
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}
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ROOT = Path(os.environ.get("NGRAMS_DIR", "/ngrams"))
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CHUNK = 1 << 20
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# languagetool.org answers Python's default User-Agent with 403 Forbidden.
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HEADERS = {"User-Agent": "Mozilla/5.0 (compatible; webmail-ngrams/1.0)"}
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def say(msg: str) -> None:
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print(msg, flush=True)
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def gib(n: float) -> str:
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return f"{n / 1024**3:.2f} GB"
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def installed(lang: str) -> bool:
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d = ROOT / lang
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return all((d / f"{n}grams").is_dir() for n in (1, 2, 3))
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def remote_size(url: str) -> int:
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req = urllib.request.Request(url, method="HEAD", headers=HEADERS)
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with urllib.request.urlopen(req, timeout=60) as resp:
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return int(resp.headers["Content-Length"])
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def download(url: str, dest: Path, total: int) -> None:
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have = dest.stat().st_size if dest.exists() else 0
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if have == total:
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say(" already downloaded")
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return
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req = urllib.request.Request(url, headers=HEADERS)
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if have:
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req.add_header("Range", f"bytes={have}-")
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say(f" resuming at {gib(have)}")
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with (
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urllib.request.urlopen(req, timeout=60) as resp,
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open(dest, "ab" if have else "wb") as out,
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):
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if have and resp.status != 206: # the server ignored the range: start over
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out.truncate(0)
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have = 0
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done, last, started = have, -1, time.monotonic()
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while chunk := resp.read(CHUNK):
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out.write(chunk)
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done += len(chunk)
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pct = done * 100 // total
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if pct // 5 != last // 5:
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rate = (done - have) / max(time.monotonic() - started, 0.001)
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say(
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f" {pct:3d}% {gib(done)} of {gib(total)} ({rate / 1024**2:.1f} MB/s)"
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)
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last = pct
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if dest.stat().st_size != total:
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raise SystemExit(
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f" download incomplete ({gib(dest.stat().st_size)} of {gib(total)}) — run again to resume"
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)
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def unpack(zip_path: Path, lang: str) -> None:
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tmp = ROOT / f".unpacking-{lang}"
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shutil.rmtree(tmp, ignore_errors=True)
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say(" unpacking…")
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with zipfile.ZipFile(zip_path) as zf:
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zf.extractall(tmp)
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# The archive holds "<lang>/1grams …"; tolerate a different top folder.
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src = next((p.parent for p in tmp.rglob("1grams") if p.is_dir()), None)
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if src is None:
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shutil.rmtree(tmp, ignore_errors=True)
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raise SystemExit(
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f" {zip_path.name} has no 1grams folder — not LanguageTool n-gram data?"
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)
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for p in [src, *src.rglob("*")]: # readable by the languagetool user (uid 100)
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p.chmod(0o755 if p.is_dir() else 0o644)
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final = ROOT / lang
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shutil.rmtree(final, ignore_errors=True)
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src.rename(final)
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shutil.rmtree(tmp, ignore_errors=True)
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def size_of(path: Path) -> int:
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return sum(p.stat().st_size for p in path.rglob("*") if p.is_file())
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def main(langs: list[str]) -> None:
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ROOT.mkdir(parents=True, exist_ok=True)
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unknown = [lang for lang in langs if lang not in FILES]
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if unknown:
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raise SystemExit(
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f"no n-gram data for: {' '.join(unknown)} (available: {' '.join(FILES)})"
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)
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for lang in langs:
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say(f"== {lang}")
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if installed(lang):
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say(f" already installed ({gib(size_of(ROOT / lang))})")
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continue
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url = BASE + FILES[lang]
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total = remote_size(url)
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zip_path = ROOT / FILES[lang]
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have = zip_path.stat().st_size if zip_path.exists() else 0
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# Room for the rest of the zip plus the unpacked copy, which is about
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# twice the zip's size (German: 1.58 GB download, 3.06 GB unpacked).
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need = (total - have) + total * 2
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free = shutil.disk_usage(ROOT).free
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if free < need:
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raise SystemExit(f" not enough space: need ~{gib(need)}, {gib(free)} free")
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say(f" downloading {FILES[lang]} ({gib(total)})")
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download(url, zip_path, total)
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unpack(zip_path, lang)
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zip_path.unlink()
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say(f" installed: {gib(size_of(ROOT / lang))}")
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say(
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"done: "
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+ ", ".join(
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f"{lang} ({gib(size_of(ROOT / lang))})" for lang in FILES if installed(lang)
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)
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)
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if __name__ == "__main__":
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main(sys.argv[1:] or ["en", "de", "fr", "es"])
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@@ -12,6 +12,7 @@
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# ./deploy/webmail.sh backup take a verified database dump now
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# ./deploy/webmail.sh restore <file> DESTRUCTIVE: restore a dump
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# ./deploy/webmail.sh reindex [args] rebuild the search index from Postgres
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# ./deploy/webmail.sh ngrams [langs] download spell-check n-gram data (default: en de fr es)
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# ./deploy/webmail.sh psql open a database shell
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# ./deploy/webmail.sh shell [svc] shell inside a container (default: api)
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# ./deploy/webmail.sh show-key print MASTER_KEY so you can back it up
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@@ -418,6 +419,23 @@ print('AUTHORISED')
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ylw " antispam is not in ENABLED_PLUGINS — no spam filtering on this install" ;;
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esac
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# Spelling/grammar check: is the engine answering, and with which n-grams?
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lt="$(compose exec -T api python -c "
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import os, urllib.request
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url = os.environ.get('LANGUAGETOOL_URL', '')
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print('OFF' if not url else urllib.request.urlopen(url + '/v2/languages', timeout=5).status)
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" 2>&1 | tail -1)" || true
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ngrams=""
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for d in "${DATA_ROOT}/languagetool-ngrams"/*/; do
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[ -d "${d}3grams" ] && ngrams="${ngrams} $(basename "$d")"
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done
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case "$lt" in
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200) grn " spell check engine answering; n-grams:${ngrams:- none (optional: webmail.sh ngrams)}" ;;
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OFF) ylw " spell check is off (LANGUAGETOOL_URL is empty)" ;;
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*) ylw " spell check engine not answering — the compose window falls back to the browser's checker"
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printf ' %s\n' "$lt" ;;
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esac
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if command -v ss >/dev/null 2>&1; then
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local p
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for p in "WEB_PORT:${WEB_PORT:-8088}" "ADMIN_PORT:${ADMIN_PORT:-8089}"; do
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@@ -675,6 +693,23 @@ cmd_show_key() {
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}
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cmd_reindex() { require_env; compose run --rm api reindex "$@"; }
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# Optional n-gram data for the spell checker (~13 GB download for en de fr es):
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# lets LanguageTool catch real words used wrongly ("loose weight", "das er
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# kommt"). Downloaded and unpacked by deploy/ngrams.py inside the backend image
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# (it resumes an interrupted download — just run it again), then the engine is
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# recreated to load it. Polish has no n-gram data; it is checked as before.
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cmd_ngrams() {
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require_env
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local dir="${DATA_ROOT}/languagetool-ngrams"
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mkdir -p "$dir" || die "cannot create ${dir} (run as the owner of DATA_ROOT, or as root)"
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echo "== downloading n-gram data into ${dir} (${*:-en de fr es})"
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compose run --rm --no-deps -T --user 0 -v "${dir}:/ngrams" --entrypoint python api - "$@" \
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< "${SCRIPT_DIR}/ngrams.py" || die "n-gram download failed — run the same command again to resume"
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echo "== restarting the spell checker to load it"
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compose up -d --no-deps --force-recreate languagetool
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grn "n-grams installed. It reads them into memory in the background over the next minutes."
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}
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cmd_psql() { require_env; compose exec postgres psql -U "${POSTGRES_USER:-webmail}" -d "${POSTGRES_DB:-webmail}"; }
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cmd_shell() { require_env; compose exec "${1:-api}" /bin/sh; }
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@@ -700,6 +735,7 @@ case "$cmd" in
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backup) cmd_backup "$@" ;;
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restore) cmd_restore "$@" ;;
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reindex) cmd_reindex "$@" ;;
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ngrams) cmd_ngrams "$@" ;;
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show-key) cmd_show_key "$@" ;;
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psql) cmd_psql "$@" ;;
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shell) cmd_shell "$@" ;;
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+48
-1
@@ -69,6 +69,8 @@ x-backend-env: &backend-env
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# DOES NOT — the controller answers 401, the plugin fails open, and the only
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# visible symptom is "bayes": null on the stats endpoint.
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RSPAMD_CONTROLLER_PASSWORD: ${RSPAMD_CONTROLLER_PASSWORD}
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# Spelling and grammar check in the compose window. Empty turns it off.
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LANGUAGETOOL_URL: ${LANGUAGETOOL_URL-http://languagetool:8010}
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LOG_LEVEL: ${LOG_LEVEL:-INFO}
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UNDO_SECONDS: ${UNDO_SECONDS:-10}
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SESSION_TTL_DAYS: ${SESSION_TTL_DAYS:-30}
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@@ -102,7 +104,8 @@ services:
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- -c
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- |
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set -e
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mkdir -p /mnt/postgres /mnt/blobs /mnt/backups /mnt/redis /mnt/meili /mnt/state
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mkdir -p /mnt/postgres /mnt/blobs /mnt/backups /mnt/redis /mnt/meili /mnt/state \
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/mnt/languagetool-ngrams
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# Only recurse when ownership is actually wrong: `chown -R` over a large
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# blob store on every start would be minutes of pointless disk churn.
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[ "$$(stat -c %u /mnt/blobs)" = "10001" ] || chown -R 10001:10001 /mnt/blobs
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@@ -262,6 +265,50 @@ services:
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mem_limit: ${RSPAMD_MEM_LIMIT:-256m}
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logging: *logging
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# Spelling and grammar checking for the compose window. The app's API is its
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# only client (POST /api/spellcheck); it is never published to the host.
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#
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# Optional n-gram data (`webmail.sh ngrams`: ~13 GB download, ~26 GB unpacked
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# for en/de/fr/es) lets it catch real words used wrongly — "the affect was
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# huge", "liegt ihm Schrank" — beyond its hand-written rules. It lives on disk
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# and is read through the page cache, which Docker charges to this container:
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# hence a memory limit far above the 1 GB Java heap, enough to keep all four
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# languages cached. That room is file cache the kernel takes back whenever
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# anything else needs memory, not memory in use. One CPU at most, so a burst
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# of checking never slows sync, search or the API.
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languagetool:
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image: erikvl87/languagetool:6.8
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# Read the n-gram files once at start (low priority, in the background), so
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# even the first checks after a restart hit RAM instead of the disks.
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command:
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- bash
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- -c
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- |
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if [ -d /ngrams ] && [ -n "$$(ls -A /ngrams 2>/dev/null)" ]; then
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( nice -n 19 find /ngrams -type f -exec cat {} + > /dev/null 2>&1 & )
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fi
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exec bash start.sh
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environment:
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Java_Xms: 256m
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Java_Xmx: ${LANGUAGETOOL_HEAP:-1g}
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# Without the data the folder is empty and LanguageTool simply skips it.
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langtool_languageModel: /ngrams
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TZ: ${TZ:-UTC}
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volumes:
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- ${DATA_ROOT:-/NO-.env-FOUND-RUN-deploy_webmail.sh-init-FIRST}/languagetool-ngrams:/ngrams:ro
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healthcheck:
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test: ["CMD-SHELL", "wget -q -O /dev/null http://127.0.0.1:8010/v2/languages || exit 1"]
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interval: 30s
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timeout: 5s
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retries: 5
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start_period: 60s
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depends_on:
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init: { condition: service_completed_successfully }
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restart: unless-stopped
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mem_limit: ${LANGUAGETOOL_MEM_LIMIT:-28g}
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cpus: ${LANGUAGETOOL_CPUS:-1.0}
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logging: *logging
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# Bayes tokens and fuzzy hashes. Separate from the app's redis on purpose
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# (§C.2): this data is derived and retrainable, so it trades durability for
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# room to grow — RDB snapshots every 5 min, and an eviction policy, where the
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@@ -59,6 +59,18 @@ RSPAMD_MEM_LIMIT=256m
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RSPAMD_REDIS_MEM_LIMIT=160m
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RSPAMD_REDIS_MAXMEMORY=128mb
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# --- Spelling and grammar check (LanguageTool) -------------------------------
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# The compose window's spell checker. Leave empty to turn it off for everyone;
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# unset uses the bundled container (http://languagetool:8010).
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#LANGUAGETOOL_URL=
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# Java heap. 1g covers a household or small team.
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LANGUAGETOOL_HEAP=1g
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# Mostly file cache for the optional n-gram data (`webmail.sh ngrams`, ~26 GB
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# unpacked for en/de/fr/es), which the kernel gives back under memory pressure.
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# Without n-grams it never comes near this. Lower it on a small NAS.
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LANGUAGETOOL_MEM_LIMIT=28g
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LANGUAGETOOL_CPUS=1.0
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# --- Search -----------------------------------------------------------------
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# pg = Postgres full-text. No extra container, no extra RAM. Default.
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# meili = Meilisearch: typo tolerance, better ranking, faster on large mailboxes.
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@@ -606,6 +606,38 @@ Its Bayes database lives in `$DATA_ROOT/rspamd-redis`. Like the search index,
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that is derived data: it rides along in backups but never needs restoring, and
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retraining rebuilds it.
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### The spell checker (LanguageTool)
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`languagetool` checks spelling and grammar in the compose window, in some 30
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languages. Like the anti-spam engine nothing waits for it: when it is down the
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compose window falls back to the browser's own spell checker. It is never
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published to the host — the app's API is its only client.
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It needs about **1.2 GB of RAM** (`LANGUAGETOOL_HEAP=1g` plus the JVM) and is
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capped at one CPU core (`LANGUAGETOOL_CPUS`), so checking can never slow sync,
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search or the API.
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**Optional n-gram data** teaches it to catch real words used wrongly — "the
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affect was huge", "Das Buch liegt ihm Schrank" — beyond its hand-written rules
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(English has ~780 such word pairs, German ~70). Install it once:
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```bash
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./deploy/webmail.sh ngrams # en de fr es — or name languages: ngrams en de
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```
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That downloads about **13 GB** (English 8.4 GB, German/French/Spanish ~1.6 GB
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each) into `$DATA_ROOT/languagetool-ngrams`, unpacks it to about **26 GB**, and
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restarts the engine to load it. An interrupted download resumes when you run
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the command again. There is no n-gram data for Polish; Polish text is checked
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exactly as without it.
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The data is read from disk on demand and cached by the kernel, so the memory
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limit (`LANGUAGETOOL_MEM_LIMIT=28g`) is room for that cache, not memory in use.
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At start the container reads the files once in the background, at low
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priority, so even the first checks after a restart are served from RAM. On
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mechanical disks that warm-up takes several minutes; an NVMe cache in front of
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the volume makes it — and any later cache misses — fast.
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Two NAS-specific realities worth knowing:
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- **Disk hibernation won't happen.** Active accounts hold IMAP IDLE connections
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@@ -839,6 +871,7 @@ directories are root-owned.
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./deploy/webmail.sh backup verified dump, right now
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./deploy/webmail.sh restore <dump> restore a dump (asks for confirmation)
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./deploy/webmail.sh reindex [--purge] rebuild the search index
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./deploy/webmail.sh ngrams [langs] spell-check n-gram data (default: en de fr es)
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./deploy/webmail.sh psql database shell
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./deploy/webmail.sh shell [svc] shell in a container
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```
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Reference in New Issue
Block a user