claude
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>
50 lines
2.5 KiB
C#
50 lines
2.5 KiB
C#
using Microsoft.EntityFrameworkCore.Migrations;
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using CvMatcher.Data;
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#nullable disable
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namespace CvMatcher.Data.Migrations
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{
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/// <inheritdoc />
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public partial class UpdateCvMatchSystemPromptKeywords : Migration
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{
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private const string OldPrompt =
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"You are a strict CV-to-job matching engine. Return JSON only. Score realistically from 0 to 100.\n" +
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"Penalize missing required skills. Do not invent experience. Use concise business language.\n" +
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"Respond entirely in {{languageName}} — all text fields in the JSON must be in {{languageName}}.\n" +
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"JSON shape: {\"score\":number,\"summary\":\"...\",\"strengths\":[\"...\"],\"gaps\":[\"...\"],\"recommendations\":[\"...\"],\"evidence\":[\"...\"]}";
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private const string NewPrompt =
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"You are a strict CV-to-job matching engine. Return JSON only. Score realistically from 0 to 100.\n" +
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"Penalize missing required skills. Do not invent experience. Use concise business language.\n" +
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"Respond entirely in {{languageName}} — all text fields in the JSON must be in {{languageName}}.\n" +
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"Also extract 8 to 12 English job search keywords from the CV — job titles, technologies, skills, and domains.\n" +
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"The keywords array must always be in English regardless of {{languageName}}. Exclude names, emails, phone numbers, and locations.\n" +
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"JSON shape: {\"score\":number,\"summary\":\"...\",\"strengths\":[\"...\"],\"gaps\":[\"...\"],\"recommendations\":[\"...\"],\"evidence\":[\"...\"],\"keywords\":[\"term1\",\"term2\"]}";
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/// <inheritdoc />
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protected override void Up(MigrationBuilder migrationBuilder)
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{
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migrationBuilder.UpdateData(
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schema: MigrationConstants.SchemaName,
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table: "AiPrompts",
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keyColumns: ["Key", "Language"],
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keyValues: new object[] { "ai.cv-match.system-prompt", "*" },
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column: "Value",
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value: NewPrompt);
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}
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/// <inheritdoc />
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protected override void Down(MigrationBuilder migrationBuilder)
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{
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migrationBuilder.UpdateData(
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schema: MigrationConstants.SchemaName,
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table: "AiPrompts",
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keyColumns: ["Key", "Language"],
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keyValues: new object[] { "ai.cv-match.system-prompt", "*" },
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column: "Value",
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value: OldPrompt);
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}
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}
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}
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