When publishing a scraped listing we now look for a facility we already
have that is exactly or closely the same, and only create a new one when
there is no match — avoiding duplicates like «بیمارستان میلاد» vs «میلاد».
- ListingParser: extract a facility name (keyword + distinctive words) from
the post and surface it in the parser notes.
- FacilityMatcher: Persian-aware normalization (ي/ك, ZWNJ, punctuation),
type-word stripping for a "core" name, contains + Levenshtein similarity,
and FindBest (same-city exact → any-city exact → same-city fuzzy → fuzzy).
- Review (manual publish): auto-select a matching facility or prefill the
new-facility name; resolve-or-create uses fuzzy match; dropdown preselects.
- IngestionService (auto-publish): reuse FacilityMatcher against a run-wide
facility list (grows as new ones are created) instead of exact-name only.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Analyzed live Divar (POST search) and Medjobs (ad_listing sitemaps) data — both are free Persian text. Tighten the medical-relevance gate (drop generic «استخدام»/«شیفت» that match retail/restaurant ads; add clinical terms: بهیار/اتاق عمل/بیهوشی/رادیولوژی/آزمایشگاه/دیالیز/فوریت/تریاژ/… ) so off-topic Divar jobs get flagged, not treated as medical. Add clinical role synonyms in the heuristic parser (بهیار/کمکپرستار/سالمند→پرستار, اتاق عمل→تکنسین اتاق عمل, فوریت→فوریتهای پزشکی, آزمایشگاه→کارشناس آزمایشگاه, فوقتخصص→پزشک متخصص…). Result on live data: Medjobs now yields ~9/30 queue-ready healthcare listings; Divar correctly flags ~72/75 noise for manual review.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
soroush.asadi