5c04658faf
Recommendations only scored open shifts, but almost all roles — doctors especially — exist as استخدام (jobs), not dated shifts, and the only shifts are a handful of nurse shifts. So a visitor who prefers «پزشک» got nurse-shift recommendations (scored by city/freshness) because there were no doctor shifts to surface. Now the engine scores BOTH shifts and job openings: role/city/facility/pay/freshness apply to each, behavioral affinities are derived from shift AND job interest events, and the merged top-N is returned. Recommendation can now carry a Shift or a JobOpening; the card renders either (job → /Jobs/Details with employment type + salary; shift → unchanged with hour-bar). Cold start interleaves the freshest of both. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
190 lines
9.5 KiB
C#
190 lines
9.5 KiB
C#
using JobsMedical.Web.Data;
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using JobsMedical.Web.Models;
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using Microsoft.EntityFrameworkCore;
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namespace JobsMedical.Web.Services;
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/// <summary>A recommended opportunity — either an open <see cref="Shift"/> or an open
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/// <see cref="JobOpening"/>. Exactly one of the two is set.</summary>
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public record Recommendation(double Score, List<string> Reasons, Shift? Shift = null, JobOpening? Job = null)
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{
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public bool IsJob => Job is not null;
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}
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/// <summary>
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/// Stage 1 of the recommendation engine: a transparent, rule-based pattern engine. It scores open
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/// opportunities — BOTH shifts AND job openings — against a visitor's explicit preferences and their
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/// recent behavior, and returns the top matches each with a human-readable reason. Covering jobs (not
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/// just shifts) matters because most roles — especially doctors — exist as استخدام, not dated shifts;
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/// a shift-only feed would only ever recommend the handful of (mostly nurse) shifts.
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/// </summary>
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public class RecommendationService
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{
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private readonly AppDbContext _db;
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private readonly InterestService _interest;
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public RecommendationService(AppDbContext db, InterestService interest)
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{
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_db = db;
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_interest = interest;
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}
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private const double WRolePref = 40, WRoleBehavior = 15;
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private const double WCityPref = 20;
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private const double WShiftTypePref = 15, WShiftTypeBehavior = 8;
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private const double WPayMeetsExpectation = 10;
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private const double WFacilityAffinity = 12;
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private const double WFreshness = 5, WSoon = 6;
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private const double PenaltyDismissedFacility = 60;
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public async Task<List<Recommendation>> GetForVisitorAsync(int take = 6)
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{
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var today = DateOnly.FromDateTime(DateTime.UtcNow);
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var jobCutoff = Scraping.ListingPolicy.JobCutoffUtc;
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var prefs = await _interest.GetPreferencesAsync();
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var events = await _interest.RecentEventsAsync(150);
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var shifts = await _db.Shifts
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.Include(s => s.Facility).ThenInclude(f => f.City).Include(s => s.Role)
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.Where(s => s.Status == ShiftStatus.Open && s.Date >= today).ToListAsync();
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var jobs = await _db.JobOpenings
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.Include(j => j.Facility).ThenInclude(f => f.City).Include(j => j.Role)
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.Where(j => j.Status == ShiftStatus.Open && j.CreatedAt >= jobCutoff).ToListAsync();
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// Cold start: freshest of both, interleaved (jobs lead — that's where the volume/roles are).
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if (prefs is null && events.Count == 0)
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{
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var cj = jobs.OrderByDescending(j => j.CreatedAt)
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.Select(j => new Recommendation(0, new List<string> { "جدیدترین فرصتها" }, Job: j));
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var cs = shifts.OrderBy(s => s.Date).ThenBy(s => s.StartTime)
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.Select(s => new Recommendation(0, new List<string> { "جدیدترین فرصتها" }, Shift: s));
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return Interleave(cj, cs).Take(take).ToList();
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}
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// Behavioral affinities — derived from BOTH shift and job events (role/facility span both;
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// shift-type is shift-only). Look up each engaged item's role/facility/type once.
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var positive = new[] { InterestEventType.View, InterestEventType.Click, InterestEventType.Save, InterestEventType.Apply };
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var negative = new[] { InterestEventType.Dismiss, InterestEventType.HideFacility };
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var sIds = events.Where(e => e.ShiftId is not null).Select(e => e.ShiftId!.Value).Distinct().ToList();
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var jIds = events.Where(e => e.JobOpeningId is not null).Select(e => e.JobOpeningId!.Value).Distinct().ToList();
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var sMeta = (await _db.Shifts.Where(s => sIds.Contains(s.Id))
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.Select(s => new { s.Id, s.RoleId, s.FacilityId, s.ShiftType }).ToListAsync()).ToDictionary(x => x.Id);
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var jMeta = (await _db.JobOpenings.Where(j => jIds.Contains(j.Id))
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.Select(j => new { j.Id, j.RoleId, j.FacilityId }).ToListAsync()).ToDictionary(x => x.Id);
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var roleCount = new Dictionary<int, int>();
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var facCount = new Dictionary<int, int>();
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var stCount = new Dictionary<int, int>();
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var dismissedFacilities = new HashSet<int>();
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foreach (var e in events)
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{
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int roleId, facId; int? st = null;
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if (e.ShiftId is int si && sMeta.TryGetValue(si, out var sm)) { roleId = sm.RoleId; facId = sm.FacilityId; st = (int)sm.ShiftType; }
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else if (e.JobOpeningId is int ji && jMeta.TryGetValue(ji, out var jm)) { roleId = jm.RoleId; facId = jm.FacilityId; }
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else continue;
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if (positive.Contains(e.EventType))
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{
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Bump(roleCount, roleId); Bump(facCount, facId);
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if (st is int t) Bump(stCount, t);
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}
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else if (negative.Contains(e.EventType)) dismissedFacilities.Add(facId);
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}
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var roleAffinity = Top3(roleCount);
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var facilityAffinity = Top3(facCount);
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var shiftTypeAffinity = Top3(stCount);
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var results = new List<Recommendation>();
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foreach (var s in shifts)
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{
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if (GenderConflicts(prefs, s.GenderRequirement)) continue;
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double score = 0; var reasons = new List<string>();
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ScoreCommon(ref score, reasons, prefs, s.RoleId, s.Role?.Name, s.Facility.CityId, s.Facility.City?.Name,
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s.FacilityId, s.Facility?.Name, roleAffinity, facilityAffinity, dismissedFacilities);
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if (prefs?.PreferredShiftType is ShiftType pst && pst == s.ShiftType)
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{ score += WShiftTypePref; reasons.Add($"نوع شیفت دلخواه شما ({ShiftTypeLabel(s.ShiftType)})"); }
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else if (shiftTypeAffinity.Contains((int)s.ShiftType))
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{ score += WShiftTypeBehavior; reasons.Add($"شبیه شیفتهایی که دیدهای ({ShiftTypeLabel(s.ShiftType)})"); }
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if (prefs?.MinPay is long min && s.PayAmount is long pay && pay >= min)
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{ score += WPayMeetsExpectation; reasons.Add("حقوق بالاتر از حد انتظار شما"); }
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var daysOut = s.Date.DayNumber - today.DayNumber;
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if (daysOut <= 3) score += WSoon;
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if ((DateTime.UtcNow - s.CreatedAt).TotalDays <= 2) score += WFreshness;
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if (reasons.Count == 0) reasons.Add("پیشنهاد بر اساس فعالیت شما");
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results.Add(new Recommendation(score, reasons, Shift: s));
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}
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foreach (var j in jobs)
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{
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if (GenderConflicts(prefs, j.GenderRequirement)) continue;
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double score = 0; var reasons = new List<string>();
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ScoreCommon(ref score, reasons, prefs, j.RoleId, j.Role?.Name, j.Facility.CityId, j.Facility.City?.Name,
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j.FacilityId, j.Facility?.Name, roleAffinity, facilityAffinity, dismissedFacilities);
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if (prefs?.MinPay is long min && j.SalaryMin is long pay && pay >= min)
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{ score += WPayMeetsExpectation; reasons.Add("حقوق بالاتر از حد انتظار شما"); }
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if ((DateTime.UtcNow - j.CreatedAt).TotalDays <= 2) score += WFreshness;
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if (reasons.Count == 0) reasons.Add("پیشنهاد بر اساس فعالیت شما");
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results.Add(new Recommendation(score, reasons, Job: j));
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}
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return results
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.Where(r => r.Score > 0)
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.OrderByDescending(r => r.Score)
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.Take(take)
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.ToList();
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}
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/// <summary>Role + city + facility scoring shared by shifts and jobs.</summary>
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private static void ScoreCommon(ref double score, List<string> reasons, UserPreferences? prefs,
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int roleId, string? roleName, int cityId, string? cityName, int facilityId, string? facilityName,
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HashSet<int> roleAffinity, HashSet<int> facilityAffinity, HashSet<int> dismissedFacilities)
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{
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if (prefs?.RoleId is int pr && pr == roleId)
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{ score += WRolePref; reasons.Add($"متناسب با نقش مورد علاقه شما ({roleName})"); }
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else if (roleAffinity.Contains(roleId))
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{ score += WRoleBehavior; reasons.Add($"چون به فرصتهای «{roleName}» علاقه نشان دادی"); }
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if (prefs?.CityId is int pc && pc == cityId)
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{ score += WCityPref; reasons.Add($"در شهر مورد علاقه شما ({cityName})"); }
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if (facilityAffinity.Contains(facilityId))
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{ score += WFacilityAffinity; reasons.Add($"از مرکزی که قبلاً به آن علاقه نشان دادی ({facilityName})"); }
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if (dismissedFacilities.Contains(facilityId)) score -= PenaltyDismissedFacility;
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}
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private static bool GenderConflicts(UserPreferences? prefs, Gender req)
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=> prefs?.Gender is Gender pg && pg != Gender.Any && req != Gender.Any && req != pg;
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private static void Bump(Dictionary<int, int> d, int k) => d[k] = d.GetValueOrDefault(k) + 1;
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private static HashSet<int> Top3(Dictionary<int, int> d) => d.OrderByDescending(k => k.Value).Take(3).Select(k => k.Key).ToHashSet();
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private static IEnumerable<Recommendation> Interleave(IEnumerable<Recommendation> a, IEnumerable<Recommendation> b)
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{
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using var ea = a.GetEnumerator();
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using var eb = b.GetEnumerator();
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bool ha = ea.MoveNext(), hb = eb.MoveNext();
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while (ha || hb)
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{
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if (ha) { yield return ea.Current; ha = ea.MoveNext(); }
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if (hb) { yield return eb.Current; hb = eb.MoveNext(); }
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}
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}
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private static string ShiftTypeLabel(ShiftType t) => t switch
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{
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ShiftType.Day => "صبح",
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ShiftType.Evening => "عصر",
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ShiftType.Night => "شب",
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_ => "آنکال",
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};
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}
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