f299d7be7c
Phase 5 backend. A unified AI Workspace for each application, orchestrating the
five suggestion modules through the existing ISummarizerService provider
abstraction and storing every generation as append-only history (AiInteraction)
so outputs can be reused, compared, and deleted — distinct from the existing
AiWorkspaceNote cache (one row, overwritten).
Modules (all suggestion-only, "never invent facts" guardrail, never mutate the
profile/variant/application): job-analysis, career-match, cover-letter (6 modes),
interview, application-review. Each builds a prompt from the job + master profile
text and returns markdown.
- Models/AiInteraction.cs + migration AddAiInteractions (verified on container)
- Services/AiWorkspaceService.cs (prompts, history, delete)
- Controllers/AiWorkspaceController.cs (/api/jobapplications/{id}/ai:
generate, history, delete, modules+provider)
- 7 tests (store, history filter/order, delete, mode normalization, unknown
module, empty output, tenant scoping); 306 backend green
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
186 lines
9.9 KiB
C#
186 lines
9.9 KiB
C#
using System.Text.Json;
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using JobTrackerApi.Data;
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using JobTrackerApi.Models;
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using Microsoft.EntityFrameworkCore;
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namespace JobTrackerApi.Services;
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public sealed record AiGenerateRequest(string Module, string? Mode, string? ExtraContext);
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// Thrown when the AI service returns nothing usable — the controller maps it to 502 with the reason.
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public sealed class AiUnavailableException : Exception
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{
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public AiUnavailableException(string message) : base(message) { }
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}
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public interface IAiWorkspaceService
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{
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// Runs one module, stores the result as an append-only AiInteraction, and returns it. Never
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// mutates the profile, a CV variant, or the application — suggestion only.
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Task<AiInteraction?> GenerateAsync(string ownerUserId, int jobApplicationId, string profileText, string candidateName, AiGenerateRequest req, string provider, CancellationToken ct);
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Task<IReadOnlyList<AiInteraction>> HistoryAsync(string ownerUserId, int jobApplicationId, string? module, CancellationToken ct);
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Task<AiInteraction?> GetAsync(string ownerUserId, int id, CancellationToken ct);
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Task<bool> DeleteAsync(string ownerUserId, int id, CancellationToken ct);
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// The module keys this service supports (for the controller/UI to enumerate).
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IReadOnlyList<string> Modules { get; }
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}
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public sealed class AiWorkspaceService : IAiWorkspaceService
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{
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private static readonly JsonSerializerOptions Json = new(JsonSerializerDefaults.Web);
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public IReadOnlyList<string> Modules { get; } = new[]
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{
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"job-analysis", "career-match", "cover-letter", "interview", "application-review",
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};
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private static readonly HashSet<string> CoverLetterModes = new(StringComparer.OrdinalIgnoreCase)
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{
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"professional", "friendly", "short", "detailed", "modern", "traditional",
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};
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private const string Guardrail =
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"Preserve every factual claim — never invent employers, titles, dates, qualifications, or metrics. "
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+ "This is a suggestion the user will review and edit; return only the requested content, in clean markdown, with no preamble.";
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private readonly JobTrackerContext _db;
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private readonly ISummarizerService _ai;
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public AiWorkspaceService(JobTrackerContext db, ISummarizerService ai)
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{
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_db = db;
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_ai = ai;
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}
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public async Task<AiInteraction?> GenerateAsync(string ownerUserId, int jobApplicationId, string profileText, string candidateName, AiGenerateRequest req, string provider, CancellationToken ct)
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{
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var module = (req.Module ?? string.Empty).Trim().ToLowerInvariant();
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if (!Modules.Contains(module)) throw new ArgumentException($"Unknown AI module '{module}'.");
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var job = await _db.JobApplications.Include(j => j.Company)
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.FirstOrDefaultAsync(j => j.Id == jobApplicationId && j.OwnerUserId == ownerUserId, ct);
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if (job is null) return null;
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var jobText = BuildJobContext(job);
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var profile = string.IsNullOrWhiteSpace(profileText) ? "(no master profile on file yet)" : profileText.Trim();
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var mode = NormalizeMode(module, req.Mode);
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var extra = string.IsNullOrWhiteSpace(req.ExtraContext) ? string.Empty : $"\n\nAdditional user context:\n{req.ExtraContext.Trim()}";
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var (instruction, source, title, max) = module switch
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{
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"job-analysis" => (JobAnalysisPrompt(), jobText + extra, "Job analysis", 1000),
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"career-match" => (CareerMatchPrompt(), $"CANDIDATE PROFILE:\n{profile}\n\nJOB ADVERT:\n{jobText}{extra}", "Career match", 1000),
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"cover-letter" => (CoverLetterPrompt(mode!, candidateName), $"CANDIDATE PROFILE:\n{profile}\n\nJOB ADVERT:\n{jobText}{extra}", $"Cover letter · {Capitalize(mode!)}", 900),
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"interview" => (InterviewPrompt(), $"CANDIDATE PROFILE:\n{profile}\n\nJOB ADVERT:\n{jobText}{extra}", "Interview prep", 1100),
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"application-review" => (ApplicationReviewPrompt(), $"CANDIDATE PROFILE:\n{profile}\n\nJOB ADVERT:\n{jobText}{extra}", "Application review", 900),
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_ => throw new ArgumentException($"Unknown AI module '{module}'."),
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};
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var result = await _ai.SummarizeSectionAsync($"{instruction} {Guardrail}", source, max, 120);
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if (string.IsNullOrWhiteSpace(result))
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{
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throw new AiUnavailableException("The AI service could not generate this right now. Please try again in a moment.");
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}
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var interaction = new AiInteraction
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{
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OwnerUserId = ownerUserId,
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JobApplicationId = jobApplicationId,
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Module = module,
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Mode = mode,
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Title = title,
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Provider = string.IsNullOrWhiteSpace(provider) ? "ai-service" : provider,
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ResultJson = JsonSerializer.Serialize(new { text = result.Trim() }, Json),
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CreatedAtUtc = DateTimeOffset.UtcNow,
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};
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_db.AiInteractions.Add(interaction);
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await _db.SaveChangesAsync(ct);
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return interaction;
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}
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public async Task<IReadOnlyList<AiInteraction>> HistoryAsync(string ownerUserId, int jobApplicationId, string? module, CancellationToken ct)
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{
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var q = _db.AiInteractions.Where(x => x.OwnerUserId == ownerUserId && x.JobApplicationId == jobApplicationId);
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if (!string.IsNullOrWhiteSpace(module)) { var m = module.Trim().ToLowerInvariant(); q = q.Where(x => x.Module == m); }
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return await q.OrderByDescending(x => x.CreatedAtUtc).ToListAsync(ct);
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}
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public Task<AiInteraction?> GetAsync(string ownerUserId, int id, CancellationToken ct) =>
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_db.AiInteractions.FirstOrDefaultAsync(x => x.Id == id && x.OwnerUserId == ownerUserId, ct);
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public async Task<bool> DeleteAsync(string ownerUserId, int id, CancellationToken ct)
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{
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var row = await GetAsync(ownerUserId, id, ct);
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if (row is null) return false;
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_db.AiInteractions.Remove(row);
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await _db.SaveChangesAsync(ct);
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return true;
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}
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private static string? NormalizeMode(string module, string? mode)
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{
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if (module != "cover-letter") return null;
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var m = (mode ?? "professional").Trim().ToLowerInvariant();
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return CoverLetterModes.Contains(m) ? m : "professional";
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}
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private static string BuildJobContext(JobApplication job)
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{
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var parts = new[]
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{
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Field("Role", job.JobTitle),
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Field("Company", job.Company?.Name),
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Field("Status", job.Status),
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Field("Summary", job.ShortSummary),
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Field("Description", job.Description),
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Field("Translated description", job.TranslatedDescription),
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Field("Notes", job.Notes),
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Field("URL", job.JobUrl),
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};
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return string.Join("\n", parts.Where(p => p != null));
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}
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private static string? Field(string label, string? value) => string.IsNullOrWhiteSpace(value) ? null : $"{label}: {value.Trim()}";
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private static string Capitalize(string s) => s.Length == 0 ? s : char.ToUpperInvariant(s[0]) + s[1..];
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// --- Prompts. Each asks for markdown with clear sections; the guardrail is appended by the caller. ---
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private static string JobAnalysisPrompt() =>
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"Analyse this job advert. Return markdown with these sections: **Company**, **Role**, **Required skills**, "
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+ "**Nice-to-have skills**, **Technologies**, **Experience**, **Education**, **Soft skills**, **Responsibilities**, "
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+ "**Salary** (only if stated), **Benefits**, **Work model**, **Visa requirements**, **Language requirements**, "
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+ "**Summary** (2–3 sentences), **Likely interview topics**, and **Confidence** (High/Medium/Low with one line on why). "
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+ "Omit any field the advert does not mention rather than guessing.";
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private static string CareerMatchPrompt() =>
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"Compare the candidate profile against the job advert. Return markdown with: **Match** (a single percentage with one "
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+ "line of reasoning), **Strengths**, **Weaknesses**, **Missing skills**, **Most relevant experience**, and "
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+ "**Suggested improvements** (concrete, actionable). Base every point only on what the profile actually shows.";
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private static string CoverLetterPrompt(string mode, string candidateName) =>
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$"Write a cover letter for {(string.IsNullOrWhiteSpace(candidateName) ? "the candidate" : candidateName)} for this role in a "
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+ $"{ModeGuidance(mode)} Ground every claim in the candidate profile; do not invent experience. Return only the letter body.";
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private static string ModeGuidance(string mode) => mode switch
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{
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"friendly" => "warm, personable style — approachable but still professional.",
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"short" => "concise style — 3 short paragraphs at most, every sentence earning its place.",
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"detailed" => "thorough style — cover motivation, the strongest matching experience, and fit, without padding.",
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"modern" => "modern, direct style — confident, plain language, no clichés.",
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"traditional" => "traditional, formal style — conventional structure and measured tone.",
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_ => "professional, confident style.",
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};
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private static string InterviewPrompt() =>
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"Create an interview preparation brief in markdown with: **Company research summary** (from the advert only), "
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+ "**Likely interview questions**, **Behavioural questions**, **Technical questions**, **Suggested STAR answers** "
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+ "(outline Situation/Task/Action/Result using the candidate's real experience), and a **Preparation checklist**.";
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private static string ApplicationReviewPrompt() =>
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"Review this application (candidate profile as the material to be submitted, against the job advert). Return markdown "
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+ "with: **Overall strength** (a one-line verdict + rating out of 10), **Missing information**, **Weak areas**, "
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+ "**ATS issues** (keywords/formatting that could hurt automated screening), **Grammar & clarity**, and "
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+ "**Formatting suggestions**. Be specific and constructive.";
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}
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