import { describe, it, beforeEach, afterEach } from 'mocha';
import { expect } from 'chai';
import sinon from 'sinon';
describe('Inventory Management System', () => {
let inventoryManager;
let mockClient;
beforeEach(async () => {
mockClient = {
inventory: {
get: sinon.stub(),
update: sinon.stub(),
list: sinon.stub()
},
locations: {
list: sinon.stub()
}
};
inventoryManager = new MultiLocationInventoryManager('test-key');
inventoryManager.client = mockClient;
});
describe('Multi-location allocation', () => {
it('should allocate from closest location when sufficient inventory', async () => {
// Setup test data
mockClient.inventory.list.resolves([
{ location_id: 'warehouse_1', sku: 'TEST-001', available_quantity: 100 },
{ location_id: 'warehouse_2', sku: 'TEST-001', available_quantity: 50 }
]);
const orderItem = { sku: 'TEST-001', quantity: 10 };
const customerLocation = { lat: 40.7128, lng: -74.0060 }; // NYC
const allocation = await inventoryManager.findBestAllocation(orderItem, customerLocation);
expect(allocation).to.have.property('sku', 'TEST-001');
expect(allocation).to.have.property('quantity', 10);
expect(allocation).to.have.property('location');
});
it('should split allocation across multiple locations when needed', async () => {
mockClient.inventory.list.resolves([
{ location_id: 'warehouse_1', sku: 'TEST-001', available_quantity: 5 },
{ location_id: 'warehouse_2', sku: 'TEST-001', available_quantity: 8 }
]);
const orderItem = { sku: 'TEST-001', quantity: 10 };
const customerLocation = { lat: 40.7128, lng: -74.0060 };
const allocation = await inventoryManager.attemptSplitAllocation(orderItem, [
{ locationId: 'warehouse_1', available: 5, score: 0.8 },
{ locationId: 'warehouse_2', available: 8, score: 0.7 }
]);
expect(allocation).to.be.an('array');
expect(allocation).to.have.length(2);
expect(allocation.reduce((sum, alloc) => sum + alloc.quantity, 0)).to.equal(10);
});
});
describe('Demand forecasting', () => {
it('should generate accurate demand forecast using multiple models', async () => {
const demandForecaster = new DemandForecastingManager(inventoryManager);
// Mock historical sales data
sinon.stub(demandForecaster, 'getSalesHistory').resolves([
{ date: '2024-01-01', quantity: 100 },
{ date: '2024-01-02', quantity: 110 },
{ date: '2024-01-03', quantity: 95 }
// ... more data
]);
const forecast = await demandForecaster.generateDemandForecast('TEST-001', 30);
expect(forecast).to.have.property('sku', 'TEST-001');
expect(forecast).to.have.property('predictedDemand');
expect(forecast.predictedDemand).to.be.a('number');
expect(forecast).to.have.property('confidence');
expect(forecast.confidence).to.be.within(0, 1);
});
});
describe('Cycle counting', () => {
it('should adjust inventory when variance is within tolerance', async () => {
const accuracyManager = new InventoryAccuracyManager(inventoryManager);
mockClient.inventory.get.resolves({
sku: 'TEST-001',
available_quantity: 100
});
sinon.stub(accuracyManager, 'initiatePhysicalCount').resolves({
physicalQuantity: 98,
location: 'warehouse_1'
});
const results = await accuracyManager.executeCycleCount(['TEST-001'], 'test-user');
expect(results).to.have.length(1);
expect(results[0]).to.have.property('adjusted', true);
expect(results[0].variance).to.equal(-2);
expect(results[0].variancePercentage).to.equal(2);
});
});
});
// Performance testing
describe('Performance Tests', () => {
it('should handle bulk inventory updates efficiently', async () => {
const startTime = Date.now();
const updates = Array.from({ length: 1000 }, (_, i) => ({
sku: `TEST-${i.toString().padStart(3, '0')}`,
quantity: Math.floor(Math.random() * 100)
}));
await inventoryManager.bulkUpdateInventory(updates);
const endTime = Date.now();
const duration = endTime - startTime;
expect(duration).to.be.below(5000); // Should complete within 5 seconds
});
});