Fix CV keyword extraction to reflect candidate identity, not matched job

The AI prompt now instructs the LLM to derive keywords entirely from the
candidate's CV (seniority level, primary role title, core technologies they
emphasize) rather than from the job description being matched. This ensures
the job-board search keywords used by cv-search-job represent who the
candidate actually is, not a mirror of the job they happened to match against.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
2026-06-09 16:38:02 +03:00
parent d2b12e39ec
commit b52ef8ddff
2 changed files with 231 additions and 0 deletions
@@ -0,0 +1,138 @@
// <auto-generated />
using System;
using CvMatcher.Data;
using Microsoft.EntityFrameworkCore;
using Microsoft.EntityFrameworkCore.Infrastructure;
using Microsoft.EntityFrameworkCore.Metadata;
using Microsoft.EntityFrameworkCore.Migrations;
using Microsoft.EntityFrameworkCore.Storage.ValueConversion;
#nullable disable
namespace CvMatcher.Data.Migrations
{
[DbContext(typeof(CvMatcherDbContext))]
[Migration("20260609133623_FixKeywordExtractionPrompt")]
partial class FixKeywordExtractionPrompt
{
/// <inheritdoc />
protected override void BuildTargetModel(ModelBuilder modelBuilder)
{
#pragma warning disable 612, 618
modelBuilder
.HasDefaultSchema("cvMatcher")
.HasAnnotation("ProductVersion", "10.0.7")
.HasAnnotation("Relational:MaxIdentifierLength", 128);
SqlServerModelBuilderExtensions.UseIdentityColumns(modelBuilder);
modelBuilder.Entity("CvMatcher.Data.Entities.AiPromptEntity", b =>
{
b.Property<string>("Key")
.HasMaxLength(128)
.HasColumnType("nvarchar(128)");
b.Property<string>("Language")
.HasMaxLength(8)
.HasColumnType("nvarchar(8)");
b.Property<string>("Description")
.IsRequired()
.ValueGeneratedOnAdd()
.HasMaxLength(500)
.HasColumnType("nvarchar(500)")
.HasDefaultValue("");
b.Property<DateTime>("UpdatedAt")
.ValueGeneratedOnAdd()
.HasColumnType("datetime2")
.HasDefaultValueSql("SYSUTCDATETIME()");
b.Property<string>("Value")
.IsRequired()
.HasColumnType("nvarchar(max)");
b.HasKey("Key", "Language");
b.ToTable("AiPrompts", "cvMatcher");
});
modelBuilder.Entity("CvMatcher.Data.Entities.CvMatchResultEntity", b =>
{
b.Property<string>("Id")
.HasMaxLength(64)
.HasColumnType("nvarchar(64)");
b.Property<string>("ClientIpAddress")
.HasMaxLength(45)
.HasColumnType("nvarchar(45)");
b.Property<DateTime>("CreatedAt")
.ValueGeneratedOnAdd()
.HasColumnType("datetime2")
.HasDefaultValueSql("SYSUTCDATETIME()");
b.Property<string>("CvDocumentId")
.IsRequired()
.HasMaxLength(64)
.HasColumnType("nvarchar(64)");
b.Property<string>("Email")
.HasMaxLength(256)
.HasColumnType("nvarchar(256)");
b.Property<string>("JobDocumentId")
.IsRequired()
.HasMaxLength(64)
.HasColumnType("nvarchar(64)");
b.Property<string>("Language")
.IsRequired()
.HasColumnType("nvarchar(450)");
b.Property<string>("ResultJson")
.IsRequired()
.HasColumnType("nvarchar(max)");
b.Property<int>("Score")
.HasColumnType("int");
b.HasKey("Id");
b.HasIndex("CvDocumentId", "JobDocumentId", "Language")
.IsUnique();
b.ToTable("Results", "cvMatcher");
});
modelBuilder.Entity("CvMatcher.Data.Entities.CvMatcherChatCacheEntity", b =>
{
b.Property<string>("CacheKey")
.HasMaxLength(64)
.HasColumnType("nvarchar(64)");
b.Property<DateTime>("CreatedAt")
.ValueGeneratedOnAdd()
.HasColumnType("datetime2")
.HasDefaultValueSql("SYSUTCDATETIME()");
b.Property<string>("Model")
.IsRequired()
.HasMaxLength(120)
.HasColumnType("nvarchar(120)");
b.Property<string>("ResponseText")
.IsRequired()
.HasColumnType("nvarchar(max)");
b.Property<decimal>("Temperature")
.HasColumnType("decimal(4,2)");
b.HasKey("CacheKey");
b.ToTable("ChatCache", "cvMatcher");
});
#pragma warning restore 612, 618
}
}
}