File size: 6,074 Bytes
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import cleanupPreset from '../cleanupPreset';
import type { TPreset } from 'librechat-data-provider';
// Mock parseConvo since we're focusing on testing the chatGptLabel migration logic
jest.mock('librechat-data-provider', () => ({
...jest.requireActual('librechat-data-provider'),
parseConvo: jest.fn((input) => {
// Return a simplified mock that passes through most properties
const { conversation } = input;
return {
...conversation,
model: conversation?.model || 'gpt-3.5-turbo',
};
}),
}));
describe('cleanupPreset', () => {
const basePreset = {
presetId: 'test-preset-id',
title: 'Test Preset',
endpoint: EModelEndpoint.openAI,
model: 'gpt-4',
temperature: 0.7,
};
beforeEach(() => {
jest.clearAllMocks();
});
describe('chatGptLabel migration', () => {
it('should migrate chatGptLabel to modelLabel when only chatGptLabel exists', () => {
const preset = {
...basePreset,
chatGptLabel: 'Custom ChatGPT Label',
};
const result = cleanupPreset({ preset });
expect(result.modelLabel).toBe('Custom ChatGPT Label');
expect(result.chatGptLabel).toBeUndefined();
});
it('should prioritize modelLabel over chatGptLabel when both exist', () => {
const preset = {
...basePreset,
chatGptLabel: 'Old ChatGPT Label',
modelLabel: 'New Model Label',
};
const result = cleanupPreset({ preset });
expect(result.modelLabel).toBe('New Model Label');
expect(result.chatGptLabel).toBeUndefined();
});
it('should keep modelLabel when only modelLabel exists', () => {
const preset = {
...basePreset,
modelLabel: 'Existing Model Label',
};
const result = cleanupPreset({ preset });
expect(result.modelLabel).toBe('Existing Model Label');
expect(result.chatGptLabel).toBeUndefined();
});
it('should handle preset without either label', () => {
const preset = { ...basePreset };
const result = cleanupPreset({ preset });
expect(result.modelLabel).toBeUndefined();
expect(result.chatGptLabel).toBeUndefined();
});
it('should handle empty chatGptLabel', () => {
const preset = {
...basePreset,
chatGptLabel: '',
modelLabel: 'Valid Model Label',
};
const result = cleanupPreset({ preset });
expect(result.modelLabel).toBe('Valid Model Label');
expect(result.chatGptLabel).toBeUndefined();
});
it('should not migrate empty string chatGptLabel when modelLabel exists', () => {
const preset = {
...basePreset,
chatGptLabel: '',
};
const result = cleanupPreset({ preset });
expect(result.modelLabel).toBeUndefined();
expect(result.chatGptLabel).toBeUndefined();
});
});
describe('presetOverride handling', () => {
it('should apply presetOverride and then handle label migration', () => {
const preset = {
...basePreset,
chatGptLabel: 'Original Label',
presetOverride: {
modelLabel: 'Override Model Label',
temperature: 0.9,
},
};
const result = cleanupPreset({ preset });
expect(result.modelLabel).toBe('Override Model Label');
expect(result.chatGptLabel).toBeUndefined();
expect(result.temperature).toBe(0.9);
});
it('should handle label migration in presetOverride', () => {
const preset = {
...basePreset,
presetOverride: {
chatGptLabel: 'Override ChatGPT Label',
},
};
const result = cleanupPreset({ preset });
expect(result.modelLabel).toBe('Override ChatGPT Label');
expect(result.chatGptLabel).toBeUndefined();
});
});
describe('error handling', () => {
it('should handle undefined preset', () => {
const result = cleanupPreset({ preset: undefined });
expect(result).toEqual({
endpoint: null,
presetId: null,
title: 'New Preset',
});
});
it('should handle preset with null endpoint', () => {
const preset = {
...basePreset,
endpoint: null,
};
const result = cleanupPreset({ preset });
expect(result).toEqual({
endpoint: null,
presetId: 'test-preset-id',
title: 'Test Preset',
});
});
it('should handle preset with empty string endpoint', () => {
const preset = {
...basePreset,
endpoint: '',
};
const result = cleanupPreset({ preset });
expect(result).toEqual({
endpoint: null,
presetId: 'test-preset-id',
title: 'Test Preset',
});
});
});
describe('normal preset properties', () => {
it('should preserve all other preset properties', () => {
const preset = {
...basePreset,
promptPrefix: 'Custom prompt:',
temperature: 0.8,
top_p: 0.9,
modelLabel: 'Custom Model',
tools: ['plugin1', 'plugin2'],
};
const result = cleanupPreset({ preset });
expect(result.presetId).toBe('test-preset-id');
expect(result.title).toBe('Test Preset');
expect(result.endpoint).toBe(EModelEndpoint.openAI);
expect(result.modelLabel).toBe('Custom Model');
expect(result.promptPrefix).toBe('Custom prompt:');
expect(result.temperature).toBe(0.8);
expect(result.top_p).toBe(0.9);
expect(result.tools).toEqual(['plugin1', 'plugin2']);
});
it('should generate default title when title is missing', () => {
const preset = {
...basePreset,
title: undefined,
};
const result = cleanupPreset({ preset });
expect(result.title).toBe('New Preset');
});
it('should handle null presetId', () => {
const preset = {
...basePreset,
presetId: null,
};
const result = cleanupPreset({ preset });
expect(result.presetId).toBeNull();
});
});
});
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