refactor: complete phase 4 builder cleanup
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cesnimda
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using System.Security.Cryptography;
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using System.Text;
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using System.Text.Json;
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using System.Text.RegularExpressions;
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using JobTrackerApi.Data;
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using JobTrackerApi.Services;
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using JobTrackerApi.Models;
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using Microsoft.AspNetCore.Authorization;
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using Microsoft.AspNetCore.Identity;
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using Microsoft.AspNetCore.Mvc;
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using Microsoft.EntityFrameworkCore;
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namespace JobTrackerApi.Controllers;
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public sealed partial class ProfileCvController : ControllerBase
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{
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private static TailoredCvDocument BuildMasterCvDocument(StructuredCvProfile structuredCv, string templateId, string? targetRole, string? fallbackHeadline, string? companyName)
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{
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var normalized = StructuredCvProfileJson.Normalize(structuredCv);
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var customSections = new List<TailoredCvCustomSection>();
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if (normalized.Certifications.Count > 0)
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{
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customSections.Add(new TailoredCvCustomSection
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{
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Title = "Certifications",
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Items = normalized.Certifications.Select(certification => string.Join(" | ", new[] { certification.Name, certification.Issuer, certification.Location, certification.Date }.Where(value => !string.IsNullOrWhiteSpace(value)))).Where(value => !string.IsNullOrWhiteSpace(value)).ToList(),
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});
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}
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if (normalized.Projects.Count > 0)
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{
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customSections.Add(new TailoredCvCustomSection
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{
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Title = "Projects",
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Items = normalized.Projects.Select(project => string.Join(" | ", new[] { project.Name, project.Role, project.Location, FormatDateRangeForSection(project.Start, project.End, false) }.Where(value => !string.IsNullOrWhiteSpace(value)))).Where(value => !string.IsNullOrWhiteSpace(value)).ToList(),
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});
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}
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if (normalized.Languages.Count > 0)
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{
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customSections.Add(new TailoredCvCustomSection
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{
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Title = "Languages",
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Items = normalized.Languages.Select(language => string.Join(": ", new[] { language.Name, language.Level }.Where(value => !string.IsNullOrWhiteSpace(value)))).Where(value => !string.IsNullOrWhiteSpace(value)).ToList(),
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});
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}
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customSections.AddRange(normalized.OtherSections.Select(section => new TailoredCvCustomSection { Title = section.Title, Items = section.Items }));
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return TailoredCvDraftJson.Normalize(new TailoredCvDocument
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{
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TemplateId = templateId,
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Headline = normalized.Contact.Headline ?? targetRole ?? fallbackHeadline ?? companyName,
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Summary = normalized.Summary,
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SelectedSkills = normalized.Skills,
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Experience = normalized.Jobs.Select(job => new TailoredCvExperienceItem
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{
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Title = job.Title,
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Company = job.Company,
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Location = job.Location,
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Start = job.Start,
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End = job.End,
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IsCurrent = job.IsCurrent,
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Bullets = job.Bullets,
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}).ToList(),
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Education = normalized.Education.Select(education => new TailoredCvEducationItem
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{
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Qualification = education.Qualification,
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QualificationLevel = education.QualificationLevel,
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Institution = education.Institution,
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Location = education.Location,
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Start = education.Start,
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End = education.End,
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Details = education.Details,
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}).ToList(),
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CustomSections = customSections,
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RenderOptions = new TailoredCvRenderOptions
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{
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ShowPhoto = true,
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AccentColor = templateId switch
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{
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"harvard" => "brick",
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"auckland" => "emerald",
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"edinburgh" => "plum",
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"monarch" => "#7c2d12",
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"fjord" => "#0f4c5c",
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_ => "slate",
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},
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SectionOrder = new List<string> { "summary", "skills", "experience", "education", "custom" },
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}
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});
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}
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private async Task<StructuredCvProfile> BuildStructuredCvAsync(string text, CancellationToken cancellationToken)
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{
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if (LooksLikeNormalizedMarkdownCv(text))
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{
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var normalized = BuildStructuredCvFromNormalizedMarkdown(text);
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AnnotateStructuredCv(normalized, "normalized-markdown", 0.78);
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return StructuredCvProfileJson.Normalize(normalized);
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}
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var parseSource = NormalizeTextForStructuredParsing(text);
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var parsedSections = ParseSections(parseSource)
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.Select(section => new StructuredCvSection
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{
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Name = section.Name,
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Content = section.Content,
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WordCount = CountWords(section.Content),
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})
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.ToList();
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var hasRealSections = parsedSections.Any(section => !string.Equals(section.Name, "General", StringComparison.OrdinalIgnoreCase));
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List<ClassifiedCvBlock> classifiedBlocks = new();
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List<StructuredCvSection> fallbackSections = parsedSections;
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StructuredCvProfile? classifierFallback = null;
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if (!hasRealSections)
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{
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classifiedBlocks = await ClassifyBlocksAsync(parseSource, cancellationToken);
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var hasMeaningfulClassifierStructure = classifiedBlocks.Any(block => !string.Equals(block.SectionName, "General", StringComparison.OrdinalIgnoreCase));
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if (hasMeaningfulClassifierStructure)
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{
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fallbackSections = BuildSectionsFromClassifiedBlocks(classifiedBlocks);
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classifierFallback = BuildStructuredCvFromClassifiedBlocks(classifiedBlocks);
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}
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}
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var sectionFallback = StructuredCvProfileJson.FromSections(fallbackSections);
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AnnotateStructuredCv(sectionFallback, "repair", 0.56);
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var heuristicFallback = BuildHeuristicStructuredCv(parseSource, text);
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AnnotateStructuredCv(heuristicFallback, "deterministic", 0.68);
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heuristicFallback.Sections = new List<StructuredCvSection>();
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var fallback = StructuredCvProfileJson.Merge(heuristicFallback, sectionFallback);
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if (classifierFallback is not null)
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{
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fallback = StructuredCvProfileJson.Merge(classifierFallback, fallback);
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}
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fallback.Contact.FullName ??= GuessFullName(text) ?? GuessFullNameFromEmail(fallback.Contact.Email);
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var extracted = await TryExtractStructuredCvAsync(parseSource, cancellationToken);
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var merged = StructuredCvProfileJson.Merge(extracted, fallback);
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merged.Contact.FullName ??= GuessFullName(text) ?? GuessFullNameFromEmail(merged.Contact.Email);
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if (!IsPlausibleLocationValue(merged.Contact.Location, merged.Contact.FullName))
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{
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merged.Contact.Location = PreferDetectedLocation(text, null, merged.Contact.FullName);
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}
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merged.Jobs = merged.Jobs
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.Where(job => !LooksLikePersonName(job.Title ?? string.Empty))
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.ToList();
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var reparsedJobs = ParseJobsHeuristically(text)
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.Where(job => !LooksLikePersonName(job.Title ?? string.Empty))
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.ToList();
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var existingFirstTitle = merged.Jobs.FirstOrDefault()?.Title;
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var reparsedFirstTitle = reparsedJobs.FirstOrDefault()?.Title;
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if (LooksLikePersonName(existingFirstTitle ?? string.Empty)
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&& LooksLikeRoleOrHeadline(reparsedFirstTitle ?? string.Empty)
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&& ArePlausibleJobs(reparsedJobs, merged.Contact.FullName))
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{
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merged.Jobs = reparsedJobs;
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}
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else if (ArePlausibleJobs(merged.Jobs, merged.Contact.FullName))
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{
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if (ScoreJobs(reparsedJobs, merged.Contact.FullName) > ScoreJobs(merged.Jobs, merged.Contact.FullName))
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{
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merged.Jobs = reparsedJobs;
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}
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}
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else if (ArePlausibleJobs(reparsedJobs, merged.Contact.FullName))
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{
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merged.Jobs = reparsedJobs;
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}
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return StructuredCvProfileJson.Normalize(merged);
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}
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private async Task<CvUploadArtifact> SaveUploadArtifactAsync(ApplicationUser user, IFormFile file, CancellationToken cancellationToken)
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{
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var extension = Path.GetExtension(file.FileName ?? string.Empty);
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var userRoot = Path.Combine(_paths.CvArtifactsRoot, user.Id);
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Directory.CreateDirectory(userRoot);
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var storedFileName = $"{DateTimeOffset.UtcNow:yyyyMMddHHmmss}-{Guid.NewGuid():N}{extension}";
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var storagePath = Path.Combine(userRoot, storedFileName);
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await using (var target = System.IO.File.Create(storagePath))
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await using (var source = file.OpenReadStream())
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{
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await source.CopyToAsync(target, cancellationToken);
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}
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await using var hashStream = System.IO.File.OpenRead(storagePath);
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var shaBytes = await SHA256.HashDataAsync(hashStream, cancellationToken);
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return new CvUploadArtifact
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{
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OwnerUserId = user.Id,
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OriginalFileName = file.FileName ?? storedFileName,
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StoredFileName = storedFileName,
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MimeType = file.ContentType ?? "application/octet-stream",
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ByteSize = file.Length,
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Sha256 = Convert.ToHexString(shaBytes),
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StoragePath = storagePath,
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UploadedAtUtc = DateTimeOffset.UtcNow,
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};
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}
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private async Task<ExtractionPipelineResult> ExtractStructuredCvFromFileAsync(IFormFile file, string extension, CancellationToken cancellationToken)
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{
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string text;
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var canUseAiExtraction = string.Equals(extension, ".pdf", StringComparison.OrdinalIgnoreCase)
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|| string.Equals(extension, ".docx", StringComparison.OrdinalIgnoreCase)
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|| string.Equals(extension, ".txt", StringComparison.OrdinalIgnoreCase)
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|| string.Equals(extension, ".md", StringComparison.OrdinalIgnoreCase)
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|| string.Equals(extension, ".png", StringComparison.OrdinalIgnoreCase)
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|| string.Equals(extension, ".jpg", StringComparison.OrdinalIgnoreCase)
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|| string.Equals(extension, ".jpeg", StringComparison.OrdinalIgnoreCase)
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|| string.Equals(extension, ".webp", StringComparison.OrdinalIgnoreCase);
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if (canUseAiExtraction)
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{
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await using var uploadStream = file.OpenReadStream();
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var extracted = await _aiService.ExtractTextAsync(uploadStream, file.FileName ?? $"cv{extension}", file.ContentType, cancellationToken);
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text = extracted?.Text?.Trim() ?? string.Empty;
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}
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else
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{
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text = string.Empty;
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}
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if (string.IsNullOrWhiteSpace(text))
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{
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text = (await ExtractTextAsync(file, extension)).Trim();
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}
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if (string.IsNullOrWhiteSpace(text))
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{
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throw new InvalidOperationException("The uploaded CV file could not be read or was empty.");
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}
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text = RepairKnownMojibake(text);
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var normalizedText = (await MaybeReconstructStructuredCvAsync(text, cancellationToken)).Trim();
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var structuredCv = await BuildStructuredCvAsync(normalizedText, cancellationToken);
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return new ExtractionPipelineResult(text, normalizedText, structuredCv);
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}
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private async Task ApplyTextExtractionRunAsync(ApplicationUser user, string trigger, string rawText, string normalizedText, StructuredCvProfile structuredCv, int? artifactId, CancellationToken cancellationToken)
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{
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var run = new CvExtractionRun
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{
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OwnerUserId = user.Id,
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ArtifactId = artifactId,
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Trigger = trigger,
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ParserVersion = ParserVersion,
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NormalizerVersion = NormalizerVersion,
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LlmPromptVersion = LlmPromptVersion,
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Status = "applied",
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RawExtractedText = rawText,
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NormalizedText = normalizedText,
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StartedAtUtc = DateTimeOffset.UtcNow,
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CompletedAtUtc = DateTimeOffset.UtcNow,
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AppliedAtUtc = DateTimeOffset.UtcNow,
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};
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_db.CvExtractionRuns.Add(run);
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await _db.SaveChangesAsync(cancellationToken);
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structuredCv.Metadata.ProfileVersion = (user.CurrentCvProfileVersion ?? 0) + 1;
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structuredCv.Metadata.AppliedExtractionRunId = run.Id;
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structuredCv.Metadata.UpdatedAtUtc = DateTimeOffset.UtcNow;
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await _careerProfileService.SaveVersionAsync(user.Id, structuredCv, trigger, cancellationToken);
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var structuredJson = StructuredCvProfileJson.Serialize(structuredCv);
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run.StructuredProfileJson = structuredJson;
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user.ProfileCvText = normalizedText;
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user.ProfileCvStructureJson = structuredJson;
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user.CurrentCvExtractionRunId = run.Id;
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user.CurrentCvProfileVersion = structuredCv.Metadata.ProfileVersion;
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if (artifactId.HasValue)
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{
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user.CurrentCvUploadArtifactId = artifactId.Value;
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}
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var update = await _users.UpdateAsync(user);
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if (!update.Succeeded)
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{
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run.Status = "failed";
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run.ErrorMessage = string.Join("; ", update.Errors.Select(e => e.Description));
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await _db.SaveChangesAsync(cancellationToken);
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throw new InvalidOperationException(run.ErrorMessage);
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}
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await _db.SaveChangesAsync(cancellationToken);
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await PruneExtractionRunsAsync(user.Id, cancellationToken);
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}
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private async Task<CvExtractionRun> CreateQueuedRunAsync(string ownerUserId, int? artifactId, string trigger, CancellationToken cancellationToken)
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{
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var run = new CvExtractionRun
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{
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OwnerUserId = ownerUserId,
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ArtifactId = artifactId,
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Trigger = trigger,
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ParserVersion = ParserVersion,
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NormalizerVersion = NormalizerVersion,
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LlmPromptVersion = LlmPromptVersion,
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Status = "queued",
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StartedAtUtc = DateTimeOffset.UtcNow,
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};
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_db.CvExtractionRuns.Add(run);
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await _db.SaveChangesAsync(cancellationToken);
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return run;
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}
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// Invoked by CvProcessingHostedService (this controller is also registered as a
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// transient service). NonAction keeps it off the HTTP surface: without it the
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// controller-level [Route] exposes it as an any-verb endpoint.
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[NonAction]
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public async Task ProcessQueuedRunAsync(int runId, CancellationToken cancellationToken)
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{
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var run = await _db.CvExtractionRuns.FirstOrDefaultAsync(x => x.Id == runId, cancellationToken);
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if (run is null) return;
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var user = await _users.FindByIdAsync(run.OwnerUserId);
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if (user is null)
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{
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run.Status = "failed";
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run.ErrorMessage = "CV processing user was not found.";
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run.CompletedAtUtc = DateTimeOffset.UtcNow;
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await _db.SaveChangesAsync(cancellationToken);
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return;
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}
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run.Status = "running";
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run.ErrorMessage = null;
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await _db.SaveChangesAsync(cancellationToken);
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try
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{
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switch (run.Trigger)
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{
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case "rebuild":
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{
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if (string.IsNullOrWhiteSpace(user.ProfileCvText)) throw new InvalidOperationException("Add or import CV text before rebuilding it.");
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var rebuilt = await _aiService.SummarizeSectionAsync(
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"Rewrite this CV into a stronger master CV with clear sections such as Professional Summary, Core Skills, Experience Highlights, and Selected Achievements. Preserve only factual claims, avoid inventing employers or metrics, and make the output clean and ready for tailoring to job applications. Return only the rebuilt CV text.",
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user.ProfileCvText,
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2200,
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700);
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if (string.IsNullOrWhiteSpace(rebuilt)) throw new InvalidOperationException("The AI service could not rebuild your CV text right now.");
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var normalizedText = rebuilt.Trim();
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var structuredCv = await BuildStructuredCvAsync(normalizedText, cancellationToken);
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await CompleteQueuedRunForReviewAsync(run, normalizedText, normalizedText, structuredCv, cancellationToken);
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break;
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}
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case "improve":
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{
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if (string.IsNullOrWhiteSpace(user.ProfileCvText)) throw new InvalidOperationException("Add or import CV text before improving it.");
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var improved = await _aiService.SummarizeSectionAsync(
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"Rewrite this CV into a cleaner, better-structured master CV profile. Preserve factual claims, employers, skills, and measurable results. Improve clarity, tighten wording, use strong bullet-style phrasing, and keep it ready for further tailoring to specific roles. Return only the improved CV text.",
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user.ProfileCvText,
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1800,
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500);
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if (string.IsNullOrWhiteSpace(improved)) throw new InvalidOperationException("The AI service could not improve your CV text right now.");
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var normalizedText = improved.Trim();
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var structuredCv = await BuildStructuredCvAsync(normalizedText, cancellationToken);
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await CompleteQueuedRunForReviewAsync(run, normalizedText, normalizedText, structuredCv, cancellationToken);
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break;
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}
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case "reprocess":
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{
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var artifact = await _db.CvUploadArtifacts.AsNoTracking().FirstOrDefaultAsync(x => x.Id == run.ArtifactId && x.OwnerUserId == user.Id, cancellationToken);
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if (artifact is null) throw new InvalidOperationException("Upload a CV before reprocessing it.");
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if (string.IsNullOrWhiteSpace(artifact.StoragePath) || !System.IO.File.Exists(artifact.StoragePath))
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{
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throw new InvalidOperationException("The stored CV artifact could not be found for reprocessing.");
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}
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await using var stream = System.IO.File.OpenRead(artifact.StoragePath);
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var file = new FormFile(stream, 0, stream.Length, "file", artifact.OriginalFileName)
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{
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Headers = new HeaderDictionary(),
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ContentType = artifact.MimeType
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};
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var extension = Path.GetExtension(artifact.OriginalFileName ?? string.Empty);
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var result = await ExtractStructuredCvFromFileAsync(file, extension, cancellationToken);
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await CompleteQueuedRunForReviewAsync(run, result.RawText, result.NormalizedText, result.StructuredCv, cancellationToken);
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break;
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}
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default:
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throw new InvalidOperationException($"Unsupported CV processing trigger '{run.Trigger}'.");
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}
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await SendRunCompletionEmailAsync(user, run, true, cancellationToken);
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}
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catch (Exception ex)
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{
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run.Status = "failed";
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run.ErrorMessage = ex.Message;
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run.CompletedAtUtc = DateTimeOffset.UtcNow;
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await _db.SaveChangesAsync(cancellationToken);
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await PruneExtractionRunsAsync(user.Id, cancellationToken);
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await SendRunCompletionEmailAsync(user, run, false, cancellationToken);
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_logger.LogWarning(ex, "CV processing run {RunId} failed for user {UserId}", run.Id, user.Id);
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}
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}
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private async Task CompleteQueuedRunForReviewAsync(CvExtractionRun run, string rawText, string normalizedText, StructuredCvProfile structuredCv, CancellationToken cancellationToken)
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{
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run.RawExtractedText = rawText;
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run.NormalizedText = normalizedText;
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run.StructuredProfileJson = StructuredCvProfileJson.Serialize(structuredCv);
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run.Status = "pending_review";
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run.CompletedAtUtc = DateTimeOffset.UtcNow;
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await _db.SaveChangesAsync(cancellationToken);
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await PruneExtractionRunsAsync(run.OwnerUserId, cancellationToken);
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}
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private async Task PruneExtractionRunsAsync(string ownerUserId, CancellationToken cancellationToken)
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{
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var expired = await _db.CvExtractionRuns
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.Where(x => x.OwnerUserId == ownerUserId && x.Status != "queued" && x.Status != "running")
|
||||
.OrderByDescending(x => x.StartedAtUtc)
|
||||
.Skip(ExtractionRunRetentionCount)
|
||||
.ToListAsync(cancellationToken);
|
||||
if (expired.Count == 0) return;
|
||||
_db.CvExtractionRuns.RemoveRange(expired);
|
||||
await _db.SaveChangesAsync(cancellationToken);
|
||||
}
|
||||
|
||||
private async Task SendRunCompletionEmailAsync(ApplicationUser user, CvExtractionRun run, bool success, CancellationToken cancellationToken)
|
||||
{
|
||||
if (string.IsNullOrWhiteSpace(user.Email)) return;
|
||||
|
||||
var subject = success ? $"Your CV {run.Trigger} is complete" : $"Your CV {run.Trigger} failed";
|
||||
var body = success
|
||||
? $"Your CV {run.Trigger} request finished successfully.\n\nRun ID: {run.Id}\nStatus: {run.Status}\nCompleted: {run.CompletedAtUtc:O}\n"
|
||||
: $"Your CV {run.Trigger} request failed.\n\nRun ID: {run.Id}\nStatus: {run.Status}\nError: {run.ErrorMessage}\nCompleted: {run.CompletedAtUtc:O}\n";
|
||||
|
||||
try
|
||||
{
|
||||
await _emailSender.SendAsync(user.Email, subject, body, cancellationToken);
|
||||
}
|
||||
catch (Exception ex)
|
||||
{
|
||||
_logger.LogWarning(ex, "CV processing completion email failed for run {RunId} user {UserId}", run.Id, user.Id);
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user