Files
Dragan Spiridonov 00e4d2cfa6 fix(tests): add afterEach cleanup to 104 test files missing it (#374 P2)
125 test files had beforeEach/beforeAll but no afterEach/afterAll,
leaking state between tests and causing order-dependent failures.

Added cleanup to 104 files (skipped 4 archived, 16 import-only):
- 2 critical DB handle leaks (witness-chain): added db.close()
- 7 high-risk service files: added vi.restoreAllMocks()
- 7 beforeAll files: added matching afterAll
- 88 medium/low risk: added afterEach with appropriate cleanup

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-21 12:51:47 +00:00

319 lines
9.7 KiB
TypeScript

/**
* Agentic QE v3 - Q-Learning Router Unit Tests
*/
import { describe, it, expect, beforeEach, afterEach} from 'vitest';
import {
createQLearningRouter,
RuVectorQLearningRouter,
FallbackQLearningRouter,
} from '../../../../src/integrations/ruvector';
import type {
TestTask,
RuVectorConfig,
QLearningState,
QLearningAction,
} from '../../../../src/integrations/ruvector';
// Test fixtures
function createTestTask(overrides: Partial<TestTask> = {}): TestTask {
return {
id: `task-${Date.now()}`,
name: 'Test Task',
type: 'unit',
complexity: 0.5,
priority: 'p2',
...overrides,
};
}
function createConfig(overrides: Partial<RuVectorConfig> = {}): RuVectorConfig {
return {
enabled: true,
endpoint: 'http://localhost:8080',
fallbackEnabled: true,
cacheEnabled: false,
...overrides,
};
}
describe('Q-Learning Router', () => {
describe('Factory Function', () => {
it('should create RuVectorQLearningRouter when enabled', async () => {
const router = await createQLearningRouter(createConfig({ enabled: true }));
expect(router).toBeInstanceOf(RuVectorQLearningRouter);
});
it('should create FallbackQLearningRouter when disabled', async () => {
const router = await createQLearningRouter(createConfig({ enabled: false }));
expect(router).toBeInstanceOf(FallbackQLearningRouter);
});
});
describe('RuVectorQLearningRouter', () => {
let router: RuVectorQLearningRouter;
beforeEach(() => {
router = new RuVectorQLearningRouter(createConfig());
});
afterEach(() => {
// Reset state to prevent leaks between tests
});
describe('routeTask', () => {
it('should route a unit test task', async () => {
const task = createTestTask({ type: 'unit' });
const result = await router.routeTask(task);
expect(result).toHaveProperty('agentType');
expect(result).toHaveProperty('domain');
expect(result).toHaveProperty('confidence');
expect(result).toHaveProperty('reasoning');
expect(result).toHaveProperty('alternatives');
expect(result.usedFallback).toBe(false);
expect(result.confidence).toBeGreaterThanOrEqual(0);
expect(result.confidence).toBeLessThanOrEqual(1);
});
it('should route an integration test task', async () => {
const task = createTestTask({ type: 'integration' });
const result = await router.routeTask(task);
expect(result.domain).toBeDefined();
expect(result.alternatives.length).toBeGreaterThanOrEqual(0);
});
it('should route a security test task to security domain', async () => {
const task = createTestTask({ type: 'security', priority: 'p0' });
const result = await router.routeTask(task);
expect(result.agentType).toBeDefined();
expect(result.reasoning).toContain('security');
});
it('should provide alternatives for routing', async () => {
const task = createTestTask({ type: 'performance', complexity: 0.8 });
const result = await router.routeTask(task);
expect(Array.isArray(result.alternatives)).toBe(true);
expect(result.alternatives.length).toBeLessThanOrEqual(3);
for (const alt of result.alternatives) {
expect(alt).toHaveProperty('agentType');
expect(alt).toHaveProperty('domain');
expect(alt).toHaveProperty('confidence');
}
});
it('should include Q-values for debugging', async () => {
const task = createTestTask();
const result = await router.routeTask(task);
expect(result.qValues).toBeDefined();
expect(typeof result.qValues).toBe('object');
});
});
describe('routeTasks', () => {
it('should route multiple tasks', async () => {
const tasks = [
createTestTask({ id: '1', type: 'unit' }),
createTestTask({ id: '2', type: 'integration' }),
createTestTask({ id: '3', type: 'e2e' }),
];
const results = await router.routeTasks(tasks);
expect(results).toHaveLength(3);
results.forEach((result) => {
expect(result).toHaveProperty('agentType');
expect(result).toHaveProperty('domain');
});
});
});
describe('provideFeedback', () => {
it('should accept feedback for learning', async () => {
const task = createTestTask({ id: 'feedback-task' });
await router.routeTask(task);
await expect(
router.provideFeedback('feedback-task', {
success: true,
durationMs: 1000,
quality: 0.9,
})
).resolves.not.toThrow();
});
it('should handle feedback for unknown tasks gracefully', async () => {
await expect(
router.provideFeedback('unknown-task', {
success: true,
durationMs: 500,
quality: 0.8,
})
).resolves.not.toThrow();
});
});
describe('getQValue', () => {
it('should return Q-value for state-action pair', () => {
const state: QLearningState = {
taskType: 'unit',
complexity: 0.5,
priority: 'p2',
contextHash: 'test-hash',
};
const action: QLearningAction = {
agentType: 'tester',
domain: 'test-execution',
};
const qValue = router.getQValue(state, action);
expect(typeof qValue).toBe('number');
});
});
describe('reset', () => {
it('should reset learning state', async () => {
// Route some tasks and provide feedback
const task = createTestTask();
await router.routeTask(task);
await router.provideFeedback(task.id, {
success: true,
durationMs: 1000,
quality: 0.9,
});
await router.reset();
// After reset, Q-values should be neutral
const state: QLearningState = {
taskType: 'unit',
complexity: 0.5,
priority: 'p2',
contextHash: 'test',
};
const action: QLearningAction = {
agentType: 'tester',
domain: 'test-execution',
};
const qValue = router.getQValue(state, action);
expect(qValue).toBe(0);
});
});
describe('exportModel / importModel', () => {
it('should export model state', async () => {
const model = await router.exportModel();
expect(model).toHaveProperty('type', 'ruvector-qlearning');
expect(model).toHaveProperty('version');
expect(model).toHaveProperty('qTable');
expect(model).toHaveProperty('params');
});
it('should import model state', async () => {
const model = await router.exportModel();
const newRouter = new RuVectorQLearningRouter(createConfig());
await expect(newRouter.importModel(model)).resolves.not.toThrow();
});
it('should reject invalid model type', async () => {
const newRouter = new RuVectorQLearningRouter(createConfig());
await expect(
newRouter.importModel({ type: 'invalid' })
).rejects.toThrow('Invalid model type');
});
});
});
describe('FallbackQLearningRouter', () => {
let router: FallbackQLearningRouter;
beforeEach(() => {
router = new FallbackQLearningRouter();
});
it('should route tasks using rules', async () => {
const task = createTestTask({ type: 'unit' });
const result = await router.routeTask(task);
expect(result.usedFallback).toBe(true);
expect(result.agentType).toBe('tester');
expect(result.domain).toBe('test-execution');
});
it('should route security tasks appropriately', async () => {
const task = createTestTask({ type: 'security' });
const result = await router.routeTask(task);
expect(result.usedFallback).toBe(true);
expect(result.domain).toBe('security-compliance');
});
it('should route performance tasks appropriately', async () => {
const task = createTestTask({ type: 'performance' });
const result = await router.routeTask(task);
expect(result.usedFallback).toBe(true);
expect(result.domain).toBe('chaos-resilience');
});
it('should always return neutral Q-values', () => {
const state: QLearningState = {
taskType: 'unit',
complexity: 0.5,
priority: 'p2',
contextHash: 'test',
};
const action: QLearningAction = {
agentType: 'tester',
domain: 'test-execution',
};
expect(router.getQValue(state, action)).toBe(0.5);
});
});
describe('Integration', () => {
it('should fallback when RuVector disabled', async () => {
const router = await createQLearningRouter(createConfig({ enabled: false }));
const task = createTestTask();
const result = await router.routeTask(task);
expect(result.usedFallback).toBe(true);
});
it('should handle learning cycle', async () => {
const router = await createQLearningRouter(createConfig({ enabled: true }));
// Simulate multiple routing + feedback cycles
for (let i = 0; i < 5; i++) {
const task = createTestTask({ id: `task-${i}`, type: 'unit' });
const result = await router.routeTask(task);
await router.provideFeedback(task.id, {
success: true,
durationMs: 1000 - i * 100, // Faster each time
quality: 0.7 + i * 0.05,
});
}
// After learning, routing should work
const finalTask = createTestTask({ type: 'unit' });
const finalResult = await router.routeTask(finalTask);
expect(finalResult).toHaveProperty('agentType');
expect(finalResult).toHaveProperty('reasoning');
});
});
});