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hamkadr/src/JobsMedical.Web/Services/Scraping/IngestionService.cs
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using System.Security.Cryptography;
using System.Text;
using System.Text.RegularExpressions;
using JobsMedical.Web.Data;
using JobsMedical.Web.Models;
using Microsoft.EntityFrameworkCore;
namespace JobsMedical.Web.Services.Scraping;
public record SourceResult(string Source, int Fetched, int Queued, int Published, int Flagged, int Spam, int Duplicates);
public record IngestionSummary(List<SourceResult> Sources)
{
public int TotalFetched => Sources.Sum(s => s.Fetched);
public int TotalQueued => Sources.Sum(s => s.Queued);
public int TotalPublished => Sources.Sum(s => s.Published);
public int TotalFlagged => Sources.Sum(s => s.Flagged);
public int TotalSpam => Sources.Sum(s => s.Spam);
public int TotalDuplicates => Sources.Sum(s => s.Duplicates);
}
/// <summary>
/// The scrape engine. For every enabled source: dedupe by content hash → parse → rule-validate →
/// (optional) AI audit → decide. Decision depends on admin settings:
/// • spam → Discarded
/// • AI on: AI verdict drives approve/reject/review; approve + Automatic + AiAutoApprove → publish
/// • AI off: Automatic + confidence ≥ threshold → publish; else queue/flag
/// "Publish" resolves-or-creates an (unverified) facility and creates the Shift/JobOpening.
/// </summary>
public class IngestionService
{
private readonly AppDbContext _db;
private readonly IEnumerable<IListingSource> _sources;
private readonly IListingParser _parser;
private readonly ListingValidator _validator;
private readonly IAiAuditor _ai;
private readonly SettingsService _settings;
private readonly ILogger<IngestionService> _log;
public IngestionService(AppDbContext db, IEnumerable<IListingSource> sources, IListingParser parser,
ListingValidator validator, IAiAuditor ai, SettingsService settings, ILogger<IngestionService> log)
{
_db = db; _sources = sources; _parser = parser; _validator = validator;
_ai = ai; _settings = settings; _log = log;
}
public IReadOnlyList<string> SourceNames => _sources.Select(s => s.Name).ToList();
public async Task<IngestionSummary> RunAsync(CancellationToken ct = default)
{
var settings = await _settings.GetAsync();
var roles = await _db.Roles.ToListAsync(ct);
var cities = await _db.Cities.ToListAsync(ct);
var districts = await _db.Districts.ToListAsync(ct);
var facilities = await _db.Facilities.ToListAsync(ct); // fuzzy-matched + grown as we create
var roleNames = roles.Select(r => r.Name).ToList();
var cityNames = cities.Select(c => c.Name).ToList();
var districtNames = districts.Select(d => d.Name).ToList();
var results = new List<SourceResult>();
foreach (var source in _sources)
{
int fetched = 0, queued = 0, published = 0, flagged = 0, spam = 0, dupes = 0;
IReadOnlyList<ScrapedItem> items;
try { items = await source.FetchAsync(settings, ct); }
catch (Exception ex) { _log.LogError(ex, "Source {Source} failed", source.Name); continue; }
if (items.Count == 0) continue; // disabled/unconfigured source
foreach (var item in items)
{
fetched++;
var hash = Hash(item.RawText);
if (await _db.RawListings.AnyAsync(r => r.ContentHash == hash, ct)) { dupes++; continue; }
var parsed = _parser.Parse(item.RawText, roleNames, cityNames, districtNames);
var val = _validator.Validate(item.RawText, parsed);
AiAuditResult? ai = null;
if (settings.AiEnabled && !val.IsSpam)
ai = await _ai.AuditAsync(item.RawText, settings, ct);
var (status, reason, confidence) = Decide(settings, val, ai);
var raw = new RawListing
{
SourceChannel = item.Source,
SourceUrl = item.SourceUrl,
RawText = item.RawText.Trim(),
ContentHash = hash,
Confidence = confidence,
ValidationNotes = reason,
Status = status,
};
_db.RawListings.Add(raw);
if (status == RawListingStatus.Normalized)
{
try { Publish(parsed, ai, raw, roles, cities, districts, facilities); published++; }
catch (Exception ex) { _log.LogWarning(ex, "Auto-publish failed; queueing instead"); raw.Status = RawListingStatus.New; queued++; }
}
else if (status == RawListingStatus.New) queued++;
else if (status == RawListingStatus.Flagged) flagged++;
else spam++;
}
await _db.SaveChangesAsync(ct);
results.Add(new SourceResult(source.Name, fetched, queued, published, flagged, spam, dupes));
_log.LogInformation("Ingest {S}: fetched={F} queued={Q} published={P} flagged={Fl} spam={Sp} dupes={D}",
source.Name, fetched, queued, published, flagged, spam, dupes);
}
var summary = new IngestionSummary(results);
// Persist a run-log row so admins get a crawl history (with a per-source breakdown).
if (results.Count > 0)
{
var detail = string.Join("؛ ", results.Select(r =>
$"{r.Source}: یافت {r.Fetched}، صف {r.Queued}، منتشر {r.Published}، پرچم {r.Flagged}، اسپم {r.Spam}، تکراری {r.Duplicates}"));
_db.IngestionRuns.Add(new IngestionRun
{
Fetched = summary.TotalFetched,
Queued = summary.TotalQueued,
Published = summary.TotalPublished,
Flagged = summary.TotalFlagged,
Spam = summary.TotalSpam,
Duplicates = summary.TotalDuplicates,
Detail = detail.Length > 2000 ? detail[..2000] : detail,
});
await _db.SaveChangesAsync(ct);
}
return summary;
}
private static (RawListingStatus status, string? reason, int confidence) Decide(
AppSetting s, ValidationResult val, AiAuditResult? ai)
{
var notes = val.Issues.Count > 0 ? string.Join("؛ ", val.Issues) : null;
if (val.IsSpam)
return (RawListingStatus.Discarded, Join("اسپم", notes), val.Confidence);
if (ai is not null)
{
var aiNote = Join($"AI: {ai.Decision} ({ai.Confidence}٪)" + (ai.Reason is null ? "" : $" — {ai.Reason}"), notes);
if (ai.Reject) return (RawListingStatus.Discarded, aiNote, ai.Confidence);
if (ai.Approve)
return (s.Mode == IngestionMode.Automatic && s.AiAutoApprove
? RawListingStatus.Normalized : RawListingStatus.New, aiNote, ai.Confidence);
return (RawListingStatus.Flagged, aiNote, ai.Confidence); // review
}
if (!val.IsValid) return (RawListingStatus.Flagged, notes, val.Confidence);
if (s.Mode == IngestionMode.Automatic && val.Confidence >= s.AutoPublishMinConfidence)
return (RawListingStatus.Normalized, notes, val.Confidence);
return (RawListingStatus.New, notes, val.Confidence);
}
private void Publish(ParsedListing parsed, AiAuditResult? ai, RawListing raw,
List<Role> roles, List<City> cities, List<District> districts, List<Facility> facilities)
{
var d = ai?.Data;
var cityName = d?.City ?? parsed.CityName;
var districtName = d?.District ?? parsed.DistrictName;
// One ad can name several roles («پرستار سالمند و کودک و همراه بیمار») — resolve them all
// and publish one listing per role so each is browsable/filterable. Capped to avoid spam.
var roleNames = new List<string>();
if (!string.IsNullOrWhiteSpace(d?.Role)) roleNames.Add(d!.Role!.Trim());
roleNames.AddRange(parsed.RoleNames);
if (parsed.RoleName is not null) roleNames.Add(parsed.RoleName);
var pubRoles = roleNames
.Select(n => roles.FirstOrDefault(r => r.Name == n))
.Where(r => r is not null).Cast<Role>()
.Distinct().Take(4).ToList();
if (pubRoles.Count == 0) pubRoles.Add(roles.First());
var city = cities.FirstOrDefault(c => c.Name == cityName)
?? cities.FirstOrDefault(c => c.IsActive) ?? cities.First();
var district = districts.FirstOrDefault(x => x.Name == districtName && x.CityId == city.Id);
var kindStr = (d?.Kind ?? parsed.Kind.ToString()).ToLowerInvariant();
// «آماده به کار» — a worker offering themselves. No facility involved.
if (parsed.Kind == ListingKind.Talent || kindStr.Contains("talent") || kindStr.Contains("آماده"))
{
// Prefer the AI's tags when present, else the heuristic parser.
var tPay = d?.PayAmount ?? parsed.PayAmount;
var tShare = d?.SharePercent ?? parsed.SharePercent;
foreach (var role in pubRoles)
_db.TalentListings.Add(new TalentListing
{
Role = role, City = city, DistrictId = district?.Id,
PersonName = !string.IsNullOrWhiteSpace(d?.PersonName) ? d!.PersonName!.Trim() : parsed.PersonName,
YearsExperience = d?.YearsExperience ?? parsed.YearsExperience,
IsLicensed = d?.IsLicensed ?? parsed.IsLicensed,
AreaNote = parsed.AreaNote,
Availability = MapEmployment(d?.EmploymentType, parsed.EmploymentType),
Gender = parsed.Gender,
PayType = tShare is not null && tPay is null ? PayType.Percentage
: tPay is null ? PayType.Negotiable : PayType.PerShift,
PayAmount = tPay, SharePercent = tShare,
Phone = !string.IsNullOrWhiteSpace(d?.Phone) ? d!.Phone!.Trim() : parsed.Phone,
Description = raw.RawText,
Status = ShiftStatus.Open, Source = ShiftSource.Aggregated, SourceUrl = raw.SourceUrl,
Contacts = BuildContacts(d, parsed), // fresh instances per listing
});
raw.Status = RawListingStatus.Normalized;
return;
}
// Never surface the crawl source (e.g. «مدجابز») in a public facility name.
var facilityName = !string.IsNullOrWhiteSpace(d?.FacilityName) ? d!.FacilityName!.Trim()
: !string.IsNullOrWhiteSpace(parsed.FacilityName) ? parsed.FacilityName!.Trim()
: "مرکز درمانی (نامشخص)";
// Reuse an existing facility (exact or Persian-aware fuzzy match) before creating a new one.
var facility = FacilityMatcher.FindBest(facilities, facilityName, city.Id);
if (facility is null)
{
facility = new Facility
{
Name = facilityName, Type = FacilityType.Clinic, City = city, DistrictId = district?.Id,
Phone = !string.IsNullOrWhiteSpace(d?.Phone) ? d!.Phone!.Trim() : parsed.Phone, IsVerified = false,
};
_db.Facilities.Add(facility);
facilities.Add(facility); // so later listings in this run match it too
}
if (kindStr.Contains("job") || kindStr.Contains("استخدام"))
{
foreach (var role in pubRoles)
_db.JobOpenings.Add(new JobOpening
{
Facility = facility, Role = role,
Title = !string.IsNullOrWhiteSpace(d?.Title) && pubRoles.Count == 1 ? d!.Title!.Trim() : $"استخدام {role.Name}",
EmploymentType = MapEmployment(d?.EmploymentType, parsed.EmploymentType),
SalaryMin = parsed.PayAmount,
Description = raw.RawText, Status = ShiftStatus.Open, Source = ShiftSource.Aggregated,
SourceUrl = raw.SourceUrl,
});
}
else
{
var st = MapShiftType(d?.ShiftType, parsed.ShiftType);
var (start, end) = DefaultTimes(st);
foreach (var role in pubRoles)
_db.Shifts.Add(new Shift
{
Facility = facility, Role = role,
Date = DateOnly.FromDateTime(DateTime.UtcNow).AddDays(1),
StartTime = start, EndTime = end, ShiftType = st,
SpecialtyRequired = role.Name, Description = raw.RawText,
PayType = parsed.SharePercent is not null && parsed.PayAmount is null ? PayType.Percentage
: parsed.PayAmount is null ? PayType.Negotiable : PayType.PerShift,
PayAmount = parsed.PayAmount, SharePercent = parsed.SharePercent,
Status = ShiftStatus.Open, Source = ShiftSource.Aggregated, SourceUrl = raw.SourceUrl,
});
}
raw.Status = RawListingStatus.Normalized;
}
/// <summary>Fresh ContactMethod rows for one talent listing (parser contacts + AI phone).</summary>
private static List<ContactMethod> BuildContacts(AiStructured? d, ParsedListing parsed)
{
var contacts = parsed.Contacts
.Select((c, i) => new ContactMethod { Type = c.Type, Value = c.Value, SortOrder = i })
.ToList();
if (!string.IsNullOrWhiteSpace(d?.Phone)
&& !contacts.Any(c => c.Type is ContactType.Mobile or ContactType.Phone))
contacts.Insert(0, new ContactMethod { Type = ContactType.Mobile, Value = d!.Phone!.Trim(), SortOrder = -1 });
return contacts;
}
private static ShiftType MapShiftType(string? ai, ShiftType? parsed) => (ai?.ToLowerInvariant()) switch
{
"day" => ShiftType.Day, "evening" => ShiftType.Evening, "night" => ShiftType.Night, "oncall" => ShiftType.OnCall,
_ => parsed ?? ShiftType.Day,
};
private static EmploymentType MapEmployment(string? ai, EmploymentType? parsed) => (ai?.ToLowerInvariant()) switch
{
"parttime" => EmploymentType.PartTime, "contract" => EmploymentType.Contract,
"plan" => EmploymentType.Plan, "fulltime" => EmploymentType.FullTime,
_ => parsed ?? EmploymentType.FullTime,
};
private static (TimeOnly, TimeOnly) DefaultTimes(ShiftType t) => t switch
{
ShiftType.Day => (new TimeOnly(8, 0), new TimeOnly(14, 0)),
ShiftType.Evening => (new TimeOnly(14, 0), new TimeOnly(20, 0)),
ShiftType.Night => (new TimeOnly(20, 0), new TimeOnly(8, 0)),
_ => (new TimeOnly(8, 0), new TimeOnly(8, 0)),
};
private static string? Join(string a, string? b) => string.IsNullOrEmpty(b) ? a : $"{a} | {b}";
private static string Hash(string text)
{
var normalized = Regex.Replace((text ?? "").Trim(), @"\s+", " ");
return Convert.ToHexString(SHA256.HashData(Encoding.UTF8.GetBytes(normalized))).ToLowerInvariant();
}
}