AI (when enabled, now that the server proxy is up):
- AiStructured gains phone, personName, yearsExperience, isLicensed.
- The auditor appends an authoritative output-schema to the admin prompt
so classification stays correct even with an older stored prompt — it
now classifies kind as shift|job|talent and extracts the contact phone
and talent details.
- Ingestion publish prefers the AI's tags (kind/role/city/facility/phone +
talent fields) over the heuristic parser when present.
- Default prompt updated to describe the three kinds + new fields.
Phone extraction from websites (Medjobs / generic sites), where the
number sits behind a "تماس با این آگهی" reveal:
- HtmlUtil.HarvestPhones scans the full markup for tel: links, JSON-LD
"telephone", data-*phone* attributes, and inline Iranian mobile/landline
numbers (Persian digits folded), normalized (mobiles 09…, landlines 0…).
- Medjobs + Website sources append harvested numbers to the ad text so the
parser/AI capture them; manual review then prefills the phone too.
- Parser phone extraction now also captures a landline as a fallback.
Note: if a site loads the number purely via XHR (not in HTML), a
per-source reveal endpoint would be a follow-up.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Adds a third listing kind alongside Shift/Job for healthcare staff who
advertise their own availability (very common in Iranian medical
channels, e.g. "دندانپزشک آماده همکاری… ۵۰٪ تسویه"). These have no
facility; the contact phone is the key field.
- Model: TalentListing (role, person name, years, licensed, city/district,
area note, availability, gender, comp, phone) + ListingKind.Talent +
RawListing.LinkedTalentId + DbSet/relations/indexes + EF migration.
- Parser: detect آمادهبهکار/جویای کار → Kind=Talent; extract person name,
years of experience, licensed flag, area («منطقه ۱»), phone. Facility
name extraction now skipped for talent.
- Validator: talent path scores role + phone + medical (no facility/pay
required).
- Ingestion auto-publish: creates a TalentListing for talent kind.
- Review (manual publish): Talent option + talent fields; publishes a
TalentListing without a facility. Shift/Job facility now falls back to a
shared «نامشخص / ثبت نشده» record when the ad names none — publishing
never fails on a missing facility.
- Browse /Talent (indexable, filters: city/district/role/gender),
details /Talent/Details (noindex — personal contact, tel: call button),
_TalentCard, badge-talent, nav link, home section.
- Sitemap includes /Talent; robots disallows /Talent/Details. Archiver
expires stale talent listings.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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