cesnimda
cd09a6ad26
AI-foundation slice 1 (per docs/discovery/06). Adds the embeddings abstraction that semantic search / near-dup / find-similar will build on: IEmbeddingProvider with a NullEmbeddingProvider (AI-off: IsAvailable=false, empty vectors) and an OllamaEmbeddingProvider (/api/embeddings, nomic-embed-text). DI registers embeddings by AI mode (Ollama local, else Null). Kept separate from IAiProvider since embeddings are a distinct model/capability. AI remains fully optional — callers fall back to lexical search when unavailable. Buildable/testable without a live Ollama; unit test locks the Null fallback contract. Build + all 41 tests pass. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
24 lines
772 B
C#
24 lines
772 B
C#
using FluentAssertions;
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using InboxIntel.Infrastructure.Ai;
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using Xunit;
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namespace InboxIntel.UnitTests;
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/// <summary>
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/// The Null embedding provider is the AI-off / no-model path. Semantic features must be able
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/// to detect unavailability (IsAvailable=false) and fall back to lexical search — this locks
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/// that contract so "AI is never required" can't silently regress.
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/// </summary>
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public class EmbeddingProviderTests
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{
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[Fact]
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public async Task Null_provider_reports_unavailable_and_returns_empty_vectors()
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{
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var sut = new NullEmbeddingProvider();
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sut.IsAvailable.Should().BeFalse();
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(await sut.EmbedAsync("anything")).Should().BeEmpty();
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(await sut.EmbedBatchAsync(new[] { "a", "b" })).Should().BeEmpty();
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}
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}
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