b78ede23cf
Piggybacks keyword extraction onto the existing CV-to-job LLM call — no extra API calls. The system prompt now instructs the model to return 8-12 English job-search terms (job titles, technologies, skills, domains) in a new `keywords` field alongside the existing score/summary fields. Keywords flow: LLM JSON → JobMatchResponse.Keywords → CreateJobSearchTokenRequest → JobSearchTokenEntity.Keywords (stored comma-separated) → JobSearchSessionEntity.Keywords (copied at session-creation time, no RAG call needed). Changes: - Add Keywords to JobMatchResponse, CreateJobSearchTokenRequest, JobSearchTokenEntity - IJobTokenService.CreateTokenAsync now accepts IReadOnlyList<string> keywords - JobTokenService: store keywords on token; TriggerStartAsync reads token.Keywords instead of fetching CV text from RAG — removes IRagApiClient dependency - Remove heuristic ExtractKeywords method - Migration AddKeywordsToJobSearchTokens: adds Keywords column to cvSearch.JobSearchTokens - Migration UpdateCvMatchSystemPromptKeywords: updates ai.cv-match.system-prompt seed to include keywords in the JSON shape Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
17 lines
621 B
C#
17 lines
621 B
C#
namespace CvMatcher.Models.Responses
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{
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public sealed class JobMatchResponse
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{
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public int Score { get; set; }
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public string Summary { get; set; } = string.Empty;
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public List<string> Strengths { get; set; } = [];
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public List<string> Gaps { get; set; } = [];
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public List<string> Recommendations { get; set; } = [];
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public List<string> Evidence { get; set; } = [];
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public List<string> Keywords { get; set; } = [];
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public bool Cached { get; set; }
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public string? JobDocumentId { get; set; }
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public string? JobUrl { get; set; }
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}
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}
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