✅ test: add unit test for src/store/aiInfra/slices/aiModel/selectors.ts #6113
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Trigger Info
Summary
This PR introduces comprehensive unit tests for the
aiModelSelectors
module, ensuring robust validation of its functionality. The tests cover a wide range of scenarios and selector methods, including:Model Filtering and Categorization:
aiProviderChatModelListIds
: Verifies retrieval of chat-type model IDs.enabledAiProviderModelList
anddisabledAiProviderModelList
: Validate separation of enabled and disabled models.filteredAiProviderModelList
: Tests filtering models based on search keywords.totalAiProviderModelList
andisEmptyAiProviderModelList
: Check total count and emptiness of the model list.Remote Model Detection:
hasRemoteModels
: Confirms the presence of remote models in the list.Model State Checks:
isModelEnabled
andisModelLoading
: Validate whether a model is enabled or currently loading.Model Retrieval:
getAiModelById
: Ensures correct retrieval of models by their ID.Capability Checks:
isModelSupportToolUse
,isModelSupportVision
, andisModelSupportReasoning
: Verify model support for specific capabilities.Context Window Tokens:
isModelHasContextWindowToken
andmodelContextWindowTokens
: Validate the presence and retrieval of context window tokens for models.The tests utilize a mock state to simulate various scenarios, ensuring the selectors behave as expected under different conditions. This addition significantly enhances the reliability and maintainability of the
aiModelSelectors
module.Tip
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