Python's \b is a \w/non-\w transition. Devanagari vowel signs (matras)
like ा ी ु are Unicode category Mc (Mark, Spacing Combining) — not \w.
This means \b splits mid-word on every matra: names like अनीता (Anita)
truncate to अनीत, and person-verb patterns like \bराज\s+ने\s+कहा\b
never match because \b fails after the final matra of कहा.
Same issue affects Arabic, Hebrew, Thai, Tamil, and every other script
whose words contain combining marks.
Fix: locales with combining-mark scripts declare a boundary_chars field
in their entity section (e.g. "\\w\\u0900-\\u097F" for Hindi). The i18n
loader replaces every \b in that locale's patterns with a script-aware
lookaround that treats the declared characters as "inside-word", and
pre-wraps candidate/multi_word patterns with the same boundary.
Default behavior (no boundary_chars) keeps standard \b — en, pt-br, ru,
it are unchanged.
Changes:
- mempalace/i18n/__init__.py: add _script_boundary, _expand_b,
_wrap_candidate, _collect_entity_section; candidate_patterns are now
returned fully-wrapped (boundary + capture group applied)
- mempalace/entity_detector.py: extract_candidates compiles pre-wrapped
candidate patterns directly instead of re-wrapping with \b
- tests/test_entity_detector.py: 5 new tests for Devanagari boundaries
(name extraction with/without boundary_chars, person-verb firing,
English regression)
Move all entity-detection lexical patterns (person verbs, pronouns,
dialogue markers, project verbs, stopwords, candidate character class)
out of hardcoded module-level constants and into the entity section of
each locale's JSON in mempalace/i18n/. Adds a languages parameter to
every public function so callers union patterns across the desired
locales. The default stays ("en",), so all existing callers and tests
behave unchanged.
Also adds:
- get_entity_patterns(langs) helper in mempalace/i18n/ that merges
patterns across requested languages, dedupes lists, unions stopwords,
and falls back to English for unknown locales
- MempalaceConfig.entity_languages property + setter, with env var
override (MEMPALACE_ENTITY_LANGUAGES, comma-separated)
- mempalace init --lang en,pt-br flag (persists to config.json)
- Per-language candidate_pattern so non-Latin scripts (Cyrillic,
Devanagari, CJK) can register their own character classes instead of
being silently dropped by the ASCII-only [A-Z][a-z]+ default
- _build_patterns LRU cache keyed by (name, languages) so multi-language
callers don't poison each other's cache slots
Why now: the open language PRs (#760 ru, #773 hi, #778 id, #907 it) only
add CLI strings via mempalace/i18n/. PR #156 (pt-br) is the first that
needed entity_detector changes and inlined a _PTBR variant of every
constant. That doesn't scale past 2-3 languages — every text gets
checked against every language's patterns regardless of relevance, and
candidate extraction still drops accented and non-Latin names.
This PR sets the standard so future locale contributors only edit one
JSON file (no Python changes), and entity detection scales linearly
with how many languages a user actually enabled, not how many ship.
- Add tests for config, convo_miner, spellcheck, knowledge_graph
- Fix Windows PermissionError in test cleanup (chromadb file locks)
- Add UTF-8 encoding to split_mega_files, entity_registry, hooks_cli
- Fix mcp_server parse_known_args logging for unknown args
- Set coverage threshold to 85 in pyproject.toml and CI
- Reset all version files to 3.0.11
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Igor Lins e Silva