HomeAssistant MCP
by jango-blockchained
Verified
import { describe, expect, test, mock, beforeEach, afterEach } from "bun:test";
import express from 'express';
import request from 'supertest';
import router from '../../../src/ai/endpoints/ai-router.js';
import type { AIResponse, AIError } from '../../../src/ai/types/index.js';
// Mock NLPProcessor
mock.module('../../../src/ai/nlp/processor.js', () => ({
NLPProcessor: mock(() => ({
processCommand: mock(async () => ({
intent: {
action: 'turn_on',
target: 'light.living_room',
parameters: {}
},
confidence: {
overall: 0.9,
intent: 0.95,
entities: 0.85,
context: 0.9
}
})),
validateIntent: mock(async () => true),
suggestCorrections: mock(async () => [
'Try using simpler commands',
'Specify the device name clearly'
])
}))
}));
describe('AI Router', () => {
let app: express.Application;
beforeEach(() => {
app = express();
app.use(express.json());
app.use('/ai', router);
});
afterEach(() => {
mock.clearAllMocks();
});
describe('POST /ai/interpret', () => {
const validRequest = {
input: 'turn on the living room lights',
context: {
user_id: 'test_user',
session_id: 'test_session',
timestamp: new Date().toISOString(),
location: 'home',
previous_actions: [],
environment_state: {}
},
model: 'claude' as const
};
test('should successfully interpret a valid command', async () => {
const response = await request(app)
.post('/ai/interpret')
.send(validRequest);
expect(response.status).toBe(200);
const body = response.body as AIResponse;
expect(typeof body.natural_language).toBe('string');
expect(body.structured_data).toEqual(expect.objectContaining({
success: true,
action_taken: 'turn_on',
entities_affected: ['light.living_room'],
state_changes: expect.any(Object)
}));
expect(Array.isArray(body.next_suggestions)).toBe(true);
expect(body.confidence).toEqual(expect.objectContaining({
overall: expect.any(Number),
intent: expect.any(Number),
entities: expect.any(Number),
context: expect.any(Number)
}));
expect(body.context).toBeDefined();
});
test('should handle invalid input format', async () => {
const response = await request(app)
.post('/ai/interpret')
.send({
input: 123, // Invalid input type
context: validRequest.context
});
expect(response.status).toBe(500);
const error = response.body.error as AIError;
expect(error.code).toBe('PROCESSING_ERROR');
expect(typeof error.message).toBe('string');
expect(typeof error.suggestion).toBe('string');
expect(Array.isArray(error.recovery_options)).toBe(true);
});
test('should handle missing required fields', async () => {
const response = await request(app)
.post('/ai/interpret')
.send({
input: 'turn on the lights'
// Missing context
});
expect(response.status).toBe(500);
const error = response.body.error as AIError;
expect(error.code).toBe('PROCESSING_ERROR');
expect(typeof error.message).toBe('string');
});
test('should handle rate limiting', async () => {
// Make multiple requests to trigger rate limiting
const requests = Array(101).fill(validRequest);
const responses = await Promise.all(
requests.map(() =>
request(app)
.post('/ai/interpret')
.send(validRequest)
)
);
const rateLimitedResponses = responses.filter(r => r.status === 429);
expect(rateLimitedResponses.length).toBeGreaterThan(0);
});
});
describe('POST /ai/execute', () => {
const validRequest = {
intent: {
action: 'turn_on',
target: 'light.living_room',
parameters: {}
},
context: {
user_id: 'test_user',
session_id: 'test_session',
timestamp: new Date().toISOString(),
location: 'home',
previous_actions: [],
environment_state: {}
},
model: 'claude' as const
};
test('should successfully execute a valid intent', async () => {
const response = await request(app)
.post('/ai/execute')
.send(validRequest);
expect(response.status).toBe(200);
const body = response.body as AIResponse;
expect(typeof body.natural_language).toBe('string');
expect(body.structured_data).toEqual(expect.objectContaining({
success: true,
action_taken: 'turn_on',
entities_affected: ['light.living_room'],
state_changes: expect.any(Object)
}));
expect(Array.isArray(body.next_suggestions)).toBe(true);
expect(body.confidence).toEqual(expect.objectContaining({
overall: expect.any(Number),
intent: expect.any(Number),
entities: expect.any(Number),
context: expect.any(Number)
}));
expect(body.context).toBeDefined();
});
test('should handle invalid intent format', async () => {
const response = await request(app)
.post('/ai/execute')
.send({
intent: {
action: 123 // Invalid action type
},
context: validRequest.context
});
expect(response.status).toBe(500);
const error = response.body.error as AIError;
expect(error.code).toBe('PROCESSING_ERROR');
expect(typeof error.message).toBe('string');
});
});
describe('GET /ai/suggestions', () => {
const validRequest = {
context: {
user_id: 'test_user',
session_id: 'test_session',
timestamp: new Date().toISOString(),
location: 'home',
previous_actions: [],
environment_state: {}
},
model: 'claude' as const
};
test('should return a list of suggestions', async () => {
const response = await request(app)
.get('/ai/suggestions')
.send(validRequest);
expect(response.status).toBe(200);
expect(Array.isArray(response.body.suggestions)).toBe(true);
expect(response.body.suggestions.length).toBeGreaterThan(0);
});
test('should handle missing context', async () => {
const response = await request(app)
.get('/ai/suggestions')
.send({});
expect(response.status).toBe(500);
const error = response.body.error as AIError;
expect(error.code).toBe('PROCESSING_ERROR');
expect(typeof error.message).toBe('string');
});
});
});