Implement missing unit tests for MemoryContext and ProductService in 01-SemanticSearch scenario#48
Closed
Implement missing unit tests for MemoryContext and ProductService in 01-SemanticSearch scenario#48
Conversation
Co-authored-by: elbruno <3533489+elbruno@users.noreply.github.com>
Co-authored-by: elbruno <3533489+elbruno@users.noreply.github.com>
Copilot
AI
changed the title
[WIP] Implement missing Unit Tests
Implement missing unit tests for MemoryContext and ProductService in 01-SemanticSearch scenario
Sep 1, 2025
PhilPuglisi
approved these changes
Sep 5, 2025
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
This PR implements comprehensive unit tests for the semantic search functionality in the
scenarios/01-SemanticSearchproject, addressing the missing test coverage for core components.Changes Made
Products.Tests
InitMemoryContextAsync_PopulatesCollectiontest methodIEmbeddingGeneratorinterface since extension methods cannot be directly mockedStore.Tests
Search_WithSemanticSearch_CallsAISearchEndpoint: Tests AI-powered semantic search endpoint callsSearch_WithStandardSearch_CallsProductSearchEndpoint: Tests standard product search endpoint callsSearch_WhenHttpCallFails_ReturnsDefaultResponse: Tests error handling when HTTP calls failKey Implementation Details
The
MemoryContext.InitMemoryContextAsyncmethod testing required special handling because it uses theGenerateVectorAsyncextension method fromMicrosoft.Extensions.AI. Since Moq cannot mock extension methods directly, a customTestEmbeddingClientwas implemented that satisfies theIEmbeddingGenerator<string, Embedding<float>>interface.The Store tests mock HTTP calls using
Mock<HttpMessageHandler>to verify that the correct endpoints are called for semantic vs. standard search, and that error conditions are handled gracefully.Test Results
Both test projects now use MSTest framework consistently and provide comprehensive coverage of the semantic search initialization and search functionality.
Fixes #47.
✨ Let Copilot coding agent set things up for you — coding agent works faster and does higher quality work when set up for your repo.