Files
meeting-assistant/MeetingAssistant.Tests/SpeakerVoiceVectorPersistenceTests.cs
T
codex f86af983e8
PR and Push Build/Test / build-and-test (push) Successful in 12m37s
feat: add local Resemblyzer speaker recognition
2026-09-11 13:49:27 +02:00

107 lines
3.9 KiB
C#

using MeetingAssistant.Speakers;
using Microsoft.EntityFrameworkCore;
namespace MeetingAssistant.Tests;
public sealed class SpeakerVoiceVectorPersistenceTests
{
[Fact]
public async Task IdentityStoresVersionedVoiceVectorAndDeletesItWithIdentity()
{
var databasePath = Path.Combine(
Path.GetTempPath(),
"meeting-assistant-tests",
Guid.NewGuid().ToString("N"),
"speaker-identities.db");
Directory.CreateDirectory(Path.GetDirectoryName(databasePath)!);
var options = new DbContextOptionsBuilder<SpeakerIdentityDbContext>()
.UseSqlite($"Data Source={databasePath}")
.Options;
await using (var context = new SpeakerIdentityDbContext(options))
{
await SpeakerIdentitySchema.EnsureCreatedOrUpdatedAsync(context, CancellationToken.None);
context.SpeakerIdentities.Add(new SpeakerIdentity
{
CanonicalName = "Chris",
CreatedAt = DateTimeOffset.UtcNow,
UpdatedAt = DateTimeOffset.UtcNow,
VoiceVectors =
[
new SpeakerVoiceVector
{
ModelId = "resemblyzer-0.1.4-pretrained",
Dimensions = 256,
VectorBytes = new byte[256 * sizeof(float)],
Fingerprint = "vector-a",
CreatedAt = DateTimeOffset.UtcNow
}
]
});
await context.SaveChangesAsync();
}
await using (var context = new SpeakerIdentityDbContext(options))
{
var identity = await context.SpeakerIdentities
.Include(candidate => candidate.VoiceVectors)
.SingleAsync();
var vector = Assert.Single(identity.VoiceVectors);
Assert.Equal("resemblyzer-0.1.4-pretrained", vector.ModelId);
Assert.Equal(256, vector.Dimensions);
Assert.Equal(256 * sizeof(float), vector.VectorBytes.Length);
context.SpeakerIdentities.Remove(identity);
await context.SaveChangesAsync();
}
await using (var context = new SpeakerIdentityDbContext(options))
{
Assert.Empty(await context.SpeakerVoiceVectors.ToListAsync());
}
}
[Fact]
public async Task IdentityRejectsDuplicateVoiceVectorFingerprint()
{
var databasePath = Path.Combine(
Path.GetTempPath(),
"meeting-assistant-tests",
Guid.NewGuid().ToString("N"),
"speaker-identities.db");
Directory.CreateDirectory(Path.GetDirectoryName(databasePath)!);
var options = new DbContextOptionsBuilder<SpeakerIdentityDbContext>()
.UseSqlite($"Data Source={databasePath}")
.Options;
await using var context = new SpeakerIdentityDbContext(options);
await SpeakerIdentitySchema.EnsureCreatedOrUpdatedAsync(context, CancellationToken.None);
var identity = new SpeakerIdentity
{
CanonicalName = "Chris",
CreatedAt = DateTimeOffset.UtcNow,
UpdatedAt = DateTimeOffset.UtcNow
};
context.SpeakerIdentities.Add(identity);
await context.SaveChangesAsync();
context.SpeakerVoiceVectors.AddRange(
CreateVector(identity.Id, "same-vector"),
CreateVector(identity.Id, "same-vector"));
await Assert.ThrowsAsync<DbUpdateException>(() => context.SaveChangesAsync());
}
private static SpeakerVoiceVector CreateVector(int identityId, string fingerprint)
{
return new SpeakerVoiceVector
{
SpeakerIdentityId = identityId,
ModelId = "resemblyzer-0.1.4-pretrained",
Dimensions = 256,
VectorBytes = new byte[256 * sizeof(float)],
Fingerprint = fingerprint,
CreatedAt = DateTimeOffset.UtcNow
};
}
}