The server fetched upstream's latest published rules from GitHub at run
time: a version nobody here tested, code-like expressions from an account
we don't control, and the upstream name as a default in the admin form.
The published rules of spam-filter v3.0.2 are now embedded
(resources/spam-filter/, MIT, in THIRD-PARTY.md) and used whenever no other
source is configured. An empty setting and upstream's old default both mean
the bundled rules, so existing installs switch without a settings change;
the URL stays an operator override (https:// or file://). The schema default
is dropped and its description says what empty means, and the strip's
rename pass does the same to each import.
Rules load on first boot as before, and again whenever the bundled version
differs from the last one loaded, which only adds missing rules and tags.
That brings the AI classifier's LLM_* scores to installs that predate them:
production has none today.
upstream-watch now also opens an issue when spam-filter publishes a newer
release; resources/spam-filter/README.md says how to take it.
The antispam test now runs on the bundled rules, the path production
takes; SPAM_RULES_URL tests another set. Unit tests cover the URL handling
and that the bundled rules parse and score the AI tags as the AI spec says.
Upstream commit: 474dd0229cb20cf513036619781ed97bd8073c3f
Enterprise-only files removed or emptied: 63
Enterprise-only snippets removed: 117 in 50 files
Dangling module declarations removed: 5
Cargo edits turning enterprise off: 14
Verification: clean
Enterprise feature gates left for rebuilt features: 19 in 18 files
Produced by tools/fork/strip.py. The full report is in docs/fork/strip-reports/ on main.
jcoffey-dev