AI tag/category assignment + phone extraction from web ads

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>

src/JobsMedical.Web/Services/Scraping/AiAuditor.cs

@@ -7,7 +7,8 @@ namespace JobsMedical.Web.Services.Scraping;
 
 public record AiStructured(
     string? Kind, string? Role, string? City, string? District, string? ShiftType,
-    string? EmploymentType, long? PayAmount, int? SharePercent, string? Title, string? FacilityName);
+    string? EmploymentType, long? PayAmount, int? SharePercent, string? Title, string? FacilityName,
+    string? Phone = null, string? PersonName = null, int? YearsExperience = null, bool? IsLicensed = null);
 
 /// <summary>An AI verdict on a raw listing.</summary>
 public record AiAuditResult(string Decision, int Confidence, string? Reason, AiStructured? Data)
@@ -30,6 +31,24 @@ public interface IAiAuditor
 /// </summary>
 public class OpenAiCompatibleAuditor : IAiAuditor
 {
+    // Authoritative output contract appended to the admin prompt so tags/categories stay correct
+    // (including the «آماده به کار» type and contact phone) regardless of the stored prompt text.
+    private const string OutputSchema = """
+        فقط یک شیء JSON با این کلیدها برگردان (هر فیلد نامشخص = null):
+        decision: approve|reject|review
+        confidence: عدد ۰ تا ۱۰۰
+        reason: توضیح کوتاه فارسی
+        kind: shift (شیفت توسط مرکز) | job (استخدام توسط مرکز) | talent (کادر درمان که خودش «آماده به کار» است)
+        role: عنوان دقیق نقش درمانی (مثل پرستار، پزشک عمومی، دندانپزشک، تکنسین اتاق عمل، ماما، کارشناس آزمایشگاه)
+        city, district: نام شهر و محله/منطقه در صورت ذکر
+        shiftType: day|evening|night|oncall (فقط برای shift)
+        employmentType: fulltime|parttime|contract|plan
+        payAmount: عدد تومان یا null ، sharePercent: عدد ۰ تا ۱۰۰ یا null (مثل «۵۰٪ تسویه»)
+        title: عنوان کوتاه ، facilityName: نام مرکز درمانی (فقط برای shift/job)
+        phone: شماره تماس (موبایل یا ثابت) به‌صورت رقم لاتین، یا null
+        personName: نام فرد (فقط برای talent) ، yearsExperience: سال سابقه عدد یا null ، isLicensed: true/false (پروانه‌دار)
+        """;
+
     private readonly ScrapeHttpClients _clients;
     private readonly ILogger<OpenAiCompatibleAuditor> _log;
 
@@ -52,7 +71,9 @@ public class OpenAiCompatibleAuditor : IAiAuditor
                 response_format = new { type = "json_object" },
                 messages = new object[]
                 {
-                    new { role = "system", content = s.AiSystemPrompt },
+                    // Admin prompt + an authoritative output schema, so classification/tags stay
+                    // correct even if the stored prompt predates the talent/phone fields.
+                    new { role = "system", content = s.AiSystemPrompt + "\n\n" + OutputSchema },
                     new { role = "user", content = "آگهی خام:\n" + rawText + "\n\nفقط با JSON پاسخ بده." },
                 },
             };
@@ -100,10 +121,12 @@ public class OpenAiCompatibleAuditor : IAiAuditor
         int I(string k, int d) => r.TryGetProperty(k, out var v) && v.ValueKind == JsonValueKind.Number && v.TryGetInt32(out var n) ? n : d;
         long? L(string k) => r.TryGetProperty(k, out var v) && v.ValueKind == JsonValueKind.Number && v.TryGetInt64(out var n) ? n : null;
         int? NI(string k) => r.TryGetProperty(k, out var v) && v.ValueKind == JsonValueKind.Number && v.TryGetInt32(out var n) ? n : null;
+        bool? B(string k) => r.TryGetProperty(k, out var v) && (v.ValueKind == JsonValueKind.True || v.ValueKind == JsonValueKind.False) ? v.GetBoolean() : null;
 
         var decision = (S("decision") ?? "review").ToLowerInvariant();
         var data = new AiStructured(S("kind"), S("role"), S("city"), S("district"), S("shiftType"),
-            S("employmentType"), L("payAmount"), NI("sharePercent"), S("title"), S("facilityName"));
+            S("employmentType"), L("payAmount"), NI("sharePercent"), S("title"), S("facilityName"),
+            Phone: S("phone"), PersonName: S("personName"), YearsExperience: NI("yearsExperience"), IsLicensed: B("isLicensed"));
         return new AiAuditResult(decision, Math.Clamp(I("confidence", 50), 0, 100), S("reason"), data);
     }
 }