feat(ai): include application intelligence in interview preparation

Interview generation saw only the profile and the advert, so it produced generic questions. It now also receives what the workspace already computed: seniority, employment type, key requirements and advert technologies from the job analysis, plus the match score, the skills the candidate demonstrably has, the most relevant experience and projects — and above all the gaps, which is exactly what an interviewer probes. No second pipeline. The context comes from ApplicationIntelligenceService, which is deterministic and read-only, so this adds no AI call and cannot alter user data. Generation still runs through AiWorkspaceService and is still appended to AiInteraction. The dependency is optional, so existing constructions keep working and a missing intelligence service degrades to the previous prompt instead of failing. Only the interview module is affected; job-analysis, career-match, cover-letter and application-review assemble exactly as before. Suggestion-only is unchanged and now pinned by tests: generation adds an AiInteraction and nothing else, creates no InterviewPrepItem, leaves existing prep items and the CareerProfile untouched, and refuses another user's application. Context is scoped to the requesting user, so another user's profile is never scored in. 379 backend tests pass. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-19 17:07:00 +02:00
parent 3d74baef78
commit fc132273f7
3 changed files with 287 additions and 2 deletions
@@ -14,10 +14,13 @@ public sealed class AiWorkspaceTests
        public string? Next = "## Result\nGenerated suggestion.";
        public int Calls;
        public string? LastInstruction;
+        // The source text the module assembled — what the prompt actually saw.
+        public string? LastText;
        public Task<string?> SummarizeSectionAsync(string instruction, string text, int maxLength = 180, int minLength = 40)
        {
            Calls++;
            LastInstruction = instruction;
+            LastText = text;
            return Task.FromResult(Next);
        }
        public Task<string?> SummarizeAsync(string text, int maxLength = 150, int minLength = 30) => Task.FromResult(Next);