Add «آماده به کار» (talent) listing type — workers offering themselves

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>

src/JobsMedical.Web/Services/ListingParser.cs

@@ -18,6 +18,12 @@ public class ParsedListing
     public string? DistrictName { get; set; }
     public string? FacilityName { get; set; }   // hospital/clinic name guessed from the text
     public string? Phone { get; set; }
+
+    // «آماده به کار» (talent) extras — populated when Kind == Talent.
+    public string? PersonName { get; set; }     // «دکتر سپیده علیزاده»
+    public int? YearsExperience { get; set; }   // سابقه (سال)
+    public bool IsLicensed { get; set; }        // پروانه‌دار
+    public string? AreaNote { get; set; }       // «فقط منطقه ۱»
     public List<string> Notes { get; set; } = new();  // what was/wasn't detected (shown to admin)
 }
 
@@ -41,11 +47,25 @@ public class HeuristicListingParser : IListingParser
         var p = new ParsedListing();
         var text = Normalize(raw);
 
-        // --- Kind: shift vs hiring ---
-        bool jobSignals = ContainsAny(text, "استخدام", "جذب", "دعوت به همکاری", "تمام وقت", "تمام‌وقت", "قرارداد", "ماهانه", "حقوق ثابت");
+        // --- Kind: talent (worker offers themselves) vs shift vs hiring ---
+        // Talent is checked first: «آماده به کار/همکاری», «جویای کار» mean the *person* is
+        // available — distinct from an employer's «دعوت به همکاری».
+        bool talentSignals = ContainsAny(text,
+            "آماده به کار", "آماده‌به‌کار", "آماده همکاری", "آماده‌ی همکاری", "آماده ی همکاری",
+            "آماده فعالیت", "جویای کار", "جویای کار هستم", "متقاضی کار", "نیازمند کار",
+            "آماده انجام", "می‌توانم همکاری", "میتوانم همکاری", "حاضر به همکاری");
+        bool jobSignals = ContainsAny(text, "استخدام", "جذب", "دعوت به همکاری", "نیازمندیم", "نیازمند است", "حقوق ثابت");
         bool shiftSignals = ContainsAny(text, "شیفت", "آنکال", "انکال", "نوبت", "کشیک");
-        p.Kind = (jobSignals && !shiftSignals) ? ListingKind.Job : ListingKind.Shift;
-        p.Notes.Add(p.Kind == ListingKind.Job ? "نوع: استخدام (تشخیص خودکار)" : "نوع: شیفت (تشخیص خودکار)");
+        if (talentSignals)
+        {
+            p.Kind = ListingKind.Talent;
+            p.Notes.Add("نوع: آماده به کار (تشخیص خودکار)");
+        }
+        else
+        {
+            p.Kind = (jobSignals && !shiftSignals) ? ListingKind.Job : ListingKind.Shift;
+            p.Notes.Add(p.Kind == ListingKind.Job ? "نوع: استخدام (تشخیص خودکار)" : "نوع: شیفت (تشخیص خودکار)");
+        }
 
         // --- Role (longest match first so «پزشک متخصص» beats «پزشک») ---
         foreach (var role in knownRoles.OrderByDescending(r => r.Length))
@@ -108,9 +128,31 @@ public class HeuristicListingParser : IListingParser
             else if (p.SharePercent is null) p.Notes.Add("حقوق: تشخیص داده نشد");
         }
 
+        // --- Talent extras (only meaningful for «آماده به کار») ---
+        if (p.Kind == ListingKind.Talent)
+        {
+            var latinT = ToLatinDigits(text);
+            var exp = Regex.Match(latinT, @"سابقه[^\d]{0,8}(\d{1,2})\s*سال");
+            if (!exp.Success) exp = Regex.Match(latinT, @"(\d{1,2})\s*سال\s*سابقه");
+            if (exp.Success && int.TryParse(exp.Groups[1].Value, out var yrs) && yrs is > 0 and <= 60)
+            { p.YearsExperience = yrs; p.Notes.Add($"سابقه: {yrs} سال"); }
+
+            p.IsLicensed = ContainsAny(text, "پروانه دار", "پروانه‌دار", "دارای پروانه", "پروانه فعالیت", "پروانه طبابت");
+            if (p.IsLicensed) p.Notes.Add("پروانه‌دار");
+
+            p.PersonName = ExtractPersonName(text);
+            if (p.PersonName is not null) p.Notes.Add($"نام: {p.PersonName}");
+
+            var area = Regex.Match(text, @"منطقه\s*[۰-۹0-9]{1,2}");
+            if (area.Success) { p.AreaNote = area.Value.Trim(); p.Notes.Add($"محدوده: {p.AreaNote}"); }
+        }
+
         // --- Facility name (بیمارستان/درمانگاه/کلینیک ... + the distinctive name) ---
-        p.FacilityName = ExtractFacilityName(text);
-        if (p.FacilityName is not null) p.Notes.Add($"مرکز: {p.FacilityName}");
+        if (p.Kind != ListingKind.Talent)
+        {
+            p.FacilityName = ExtractFacilityName(text);
+            if (p.FacilityName is not null) p.Notes.Add($"مرکز: {p.FacilityName}");
+        }
 
         // --- Phone ---
         var phone = Regex.Match(ToLatinDigits(text), @"0?9\d{9}");
@@ -161,6 +203,35 @@ public class HeuristicListingParser : IListingParser
         return null;
     }
 
+    // Titles that introduce a person's name in «آماده به کار» posts.
+    private static readonly string[] PersonTitles = { "دکتر", "خانم دکتر", "آقای دکتر", "مهندس", "سرکار خانم", "جناب آقای", "خانم", "آقای" };
+
+    /// <summary>Best-effort person name: a title (دکتر/خانم/…) plus up to two following words.</summary>
+    private static string? ExtractPersonName(string text)
+    {
+        foreach (var title in PersonTitles)
+        {
+            var idx = text.IndexOf(title, StringComparison.Ordinal);
+            if (idx < 0) continue;
+            var after = text[(idx + title.Length)..];
+            var words = after.Split(
+                new[] { ' ', '\n', '\r', '\t', '،', ',', '.', '؛', ':', '(', ')', '-', '/' },
+                StringSplitOptions.RemoveEmptyEntries);
+            var picked = new List<string>();
+            foreach (var w in words)
+            {
+                if (NameStops.Contains(w)) break;
+                if (Regex.IsMatch(w, @"[\d]")) break;
+                if (w.Length == 1) break;
+                picked.Add(w);
+                if (picked.Count >= 2) break;
+            }
+            if (picked.Count == 0) continue;
+            return (title + " " + string.Join(" ", picked)).Trim();
+        }
+        return null;
+    }
+
     /// <summary>Pull a Toman figure out of free text, handling «میلیون» and Persian digits.</summary>
     private static long? ExtractAmount(string text)
     {