✅ test: add unit test for src/store/aiInfra/slices/aiModel/selectors.ts

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Trigger Info

Trigger Type	Triggered By	Source File	Assignment
Push	arvinxx	src/store/aiInfra/slices/aiModel/selectors.ts	Detail

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 and disabledAiProviderModelList: Validate separation of enabled and disabled models.

  • filteredAiProviderModelList: Tests filtering models based on search keywords.

  • totalAiProviderModelList and isEmptyAiProviderModelList: 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 and isModelLoading: Validate whether a model is enabled or currently loading.

• Model Retrieval:

  • getAiModelById: Ensures correct retrieval of models by their ID.

• Capability Checks:

  • isModelSupportToolUse, isModelSupportVision, and isModelSupportReasoning: Verify model support for specific capabilities.

• Context Window Tokens:

  • isModelHasContextWindowToken and modelContextWindowTokens: 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.

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