feat(job-search): extract keywords from LLM match call instead of heuristics

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>
2026-05-29 12:44:13 +03:00
parent a467fac35d
commit b78ede23cf
13 changed files with 462 additions and 39 deletions
@@ -0,0 +1,49 @@
+using Microsoft.EntityFrameworkCore.Migrations;
+using CvMatcher.Data;
+
+#nullable disable
+
+namespace CvMatcher.Data.Migrations
+{
+    /// <inheritdoc />
+    public partial class UpdateCvMatchSystemPromptKeywords : Migration
+    {
+        private const string OldPrompt =
+            "You are a strict CV-to-job matching engine. Return JSON only. Score realistically from 0 to 100.\n" +
+            "Penalize missing required skills. Do not invent experience. Use concise business language.\n" +
+            "Respond entirely in {{languageName}} — all text fields in the JSON must be in {{languageName}}.\n" +
+            "JSON shape: {\"score\":number,\"summary\":\"...\",\"strengths\":[\"...\"],\"gaps\":[\"...\"],\"recommendations\":[\"...\"],\"evidence\":[\"...\"]}";
+
+        private const string NewPrompt =
+            "You are a strict CV-to-job matching engine. Return JSON only. Score realistically from 0 to 100.\n" +
+            "Penalize missing required skills. Do not invent experience. Use concise business language.\n" +
+            "Respond entirely in {{languageName}} — all text fields in the JSON must be in {{languageName}}.\n" +
+            "Also extract 8 to 12 English job search keywords from the CV — job titles, technologies, skills, and domains.\n" +
+            "The keywords array must always be in English regardless of {{languageName}}. Exclude names, emails, phone numbers, and locations.\n" +
+            "JSON shape: {\"score\":number,\"summary\":\"...\",\"strengths\":[\"...\"],\"gaps\":[\"...\"],\"recommendations\":[\"...\"],\"evidence\":[\"...\"],\"keywords\":[\"term1\",\"term2\"]}";
+
+        /// <inheritdoc />
+        protected override void Up(MigrationBuilder migrationBuilder)
+        {
+            migrationBuilder.UpdateData(
+                schema: MigrationConstants.SchemaName,
+                table: "AiPrompts",
+                keyColumns: ["Key", "Language"],
+                keyValues: new object[] { "ai.cv-match.system-prompt", "*" },
+                column: "Value",
+                value: NewPrompt);
+        }
+
+        /// <inheritdoc />
+        protected override void Down(MigrationBuilder migrationBuilder)
+        {
+            migrationBuilder.UpdateData(
+                schema: MigrationConstants.SchemaName,
+                table: "AiPrompts",
+                keyColumns: ["Key", "Language"],
+                keyValues: new object[] { "ai.cv-match.system-prompt", "*" },
+                column: "Value",
+                value: OldPrompt);
+        }
+    }
+}