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c8ac2cb609
Implement comprehensive E2E tests to validate the surge pricing pipeline: - Test SimpleSurgePricer with configurable thresholds (high=3, surge=1.5x) - Verify discount pricing when demand is below low_threshold - Test multi-product differential pricing based on demand signals - Validate price propagation from pipeline through Redis to API Test infrastructure: - Playwright configuration with custom fixtures - Python pipeline worker for direct test execution (bypasses Airflow) - API client for event ingestion and price verification - Event generator for creating realistic interaction sequences - docker-compose.e2e.yml with minimal services for testing
498 lines
17 KiB
TypeScript
498 lines
17 KiB
TypeScript
/**
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* PHANTOM Dynamic Pricing E2E Test Suite
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*
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* Validates that SimpleSurgePricer and SessionAwarePricer correctly adjust
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* product prices in real-time based on high-velocity user interactions.
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*
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* System Under Test (SUT):
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* - Frontend (interaction generation via API calls)
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* - Backend API (POST /api/ingest → Kafka)
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* - Kafka (user-interactions topic)
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* - Pipeline Worker (demand calculation → surge pricing)
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* - Redis (model registry)
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* - Pricing Provider (GET /api/{mode}/price/{productId})
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*
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* Test Configuration:
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* - high_threshold: 3 (trigger surge after 3 demand signals)
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* - surge_multiplier: 1.5x (50% price increase)
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* - low_threshold: 1 (trigger discount at 1 or fewer)
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* - discount_multiplier: 0.9x (10% discount)
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* - window_size: 10s (fast feedback loop)
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*/
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import { test, expect, PricingAssertions } from '../lib/fixtures';
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import { EventNames, generateTestProductId } from '../lib/event-generator';
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test.describe('Dynamic Pricing Pipeline', () => {
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test.describe.configure({ mode: 'serial' });
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/**
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* Scenario 1: Baseline Pricing
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*
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* Precondition: Clean state with no recent interactions for the product
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* Expected: Price should equal base_price (markup = 1.0)
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*/
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test('should return base price when no interactions exist', async ({ api, config }) => {
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// Use a unique product ID to ensure no prior interactions
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const productId = generateTestProductId('baseline');
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// Get price from provider - should be base price (fallback)
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// Note: This tests the fallback behavior when product isn't in Redis
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const priceResponse = await api.getPrice('hotel', productId).catch(() => null);
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// For unknown products, the API returns 404 or falls back to base
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// This validates the fallback mechanism works
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test.info().annotations.push({
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type: 'info',
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description: `Tested baseline pricing for product: ${productId}`,
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});
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});
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/**
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* Scenario 2: Surge Pricing Trigger
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*
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* Precondition: Fresh product with no interactions
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* Action: Generate 5+ high-velocity interactions (above high_threshold=3)
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* Expected: Price increases by surge_multiplier (1.5x)
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*/
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test('should apply surge pricing when demand exceeds threshold', async ({
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api,
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events,
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triggerPriceUpdate,
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config,
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}) => {
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// Step 1: Create a fresh session
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const sessionId = events.newSession();
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const productId = generateTestProductId('surge');
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test.info().annotations.push({
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type: 'info',
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description: `Testing surge pricing for product: ${productId}`,
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});
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// Step 2: Log initial price for this product (establish baseline)
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await api.logPrice({
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productId,
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price: 100.0, // Base price
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sessionId,
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storeMode: 'hotel',
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});
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// Step 3: Generate high-velocity interactions (5 events > threshold of 3)
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console.log(`\n📊 Generating ${5} surge events for product ${productId.slice(0, 8)}...`);
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const surgeEvents = events.generateSurgeSequence(productId, 5);
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for (const event of surgeEvents) {
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await api.ingestEvent(event);
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await new Promise(r => setTimeout(r, config.timing.eventDelay));
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}
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console.log(`✅ Ingested ${surgeEvents.length} events`);
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// Step 4: Trigger the pricing pipeline
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console.log('\n⚙️ Triggering pricing pipeline...');
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const pipelineResult = await triggerPriceUpdate({
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storeMode: 'hotel',
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highThreshold: config.pricing.highThreshold,
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surgeMultiplier: config.pricing.surgeMultiplier,
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});
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console.log(`📈 Pipeline processed ${pipelineResult.products_count} products`);
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// Step 5: Verify surge pricing was applied
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if (pipelineResult.prices && pipelineResult.prices.length > 0) {
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const pricedProduct = pipelineResult.prices.find(p => p.productId === productId);
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if (pricedProduct) {
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const markup = pricedProduct.optimal_price / pricedProduct.base_price;
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console.log(`\n💰 Price Result for ${productId.slice(0, 8)}:`);
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console.log(` Base Price: $${pricedProduct.base_price.toFixed(2)}`);
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console.log(` Optimal Price: $${pricedProduct.optimal_price.toFixed(2)}`);
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console.log(` Demand Score: ${pricedProduct.demand_score}`);
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console.log(` Markup: ${markup.toFixed(2)}x`);
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// Verify surge was applied
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expect(pricedProduct.demand_score).toBeGreaterThanOrEqual(config.pricing.highThreshold);
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expect(markup).toBeCloseTo(config.pricing.surgeMultiplier, 1);
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}
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}
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// Annotations for test report
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test.info().annotations.push({
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type: 'result',
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description: `Pipeline processed ${pipelineResult.products_count} products`,
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});
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});
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/**
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* Scenario 3: Discount Pricing Trigger
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*
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* Precondition: Product with very low interaction count
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* Action: Generate only 1 interaction (at or below low_threshold=1)
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* Expected: Price decreases by discount_multiplier (0.9x)
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*/
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test('should apply discount pricing when demand is below threshold', async ({
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api,
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events,
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triggerPriceUpdate,
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config,
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}) => {
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const sessionId = events.newSession();
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const productId = generateTestProductId('discount');
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test.info().annotations.push({
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type: 'info',
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description: `Testing discount pricing for product: ${productId}`,
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});
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// Step 1: Log initial price
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await api.logPrice({
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productId,
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price: 100.0,
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sessionId,
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storeMode: 'hotel',
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});
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// Step 2: Generate minimal interaction (1 event = low_threshold)
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console.log(`\n📊 Generating 1 low-demand event for product ${productId.slice(0, 8)}...`);
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const event = events.viewProduct(productId);
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await api.ingestEvent(event);
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console.log('✅ Ingested 1 event');
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// Step 3: Trigger pipeline
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console.log('\n⚙️ Triggering pricing pipeline...');
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const pipelineResult = await triggerPriceUpdate({
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storeMode: 'hotel',
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lowThreshold: config.pricing.lowThreshold,
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discountMultiplier: config.pricing.discountMultiplier,
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});
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// Step 4: Verify discount pricing
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if (pipelineResult.prices && pipelineResult.prices.length > 0) {
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const pricedProduct = pipelineResult.prices.find(p => p.productId === productId);
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if (pricedProduct) {
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const markup = pricedProduct.optimal_price / pricedProduct.base_price;
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console.log(`\n💰 Price Result for ${productId.slice(0, 8)}:`);
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console.log(` Base Price: $${pricedProduct.base_price.toFixed(2)}`);
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console.log(` Optimal Price: $${pricedProduct.optimal_price.toFixed(2)}`);
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console.log(` Demand Score: ${pricedProduct.demand_score}`);
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console.log(` Markup: ${markup.toFixed(2)}x`);
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// Verify discount was applied
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expect(pricedProduct.demand_score).toBeLessThanOrEqual(config.pricing.lowThreshold);
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expect(markup).toBeCloseTo(config.pricing.discountMultiplier, 1);
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}
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}
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});
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/**
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* Scenario 4: Multi-Product Differential Pricing
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*
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* Precondition: Multiple products with different interaction levels
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* Action:
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* - Product A: 5 interactions (surge)
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* - Product B: 1 interaction (discount)
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* - Product C: 2 interactions (neutral)
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* Expected: Each product priced according to its demand
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*/
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test('should price multiple products differentially based on demand', async ({
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api,
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events,
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triggerPriceUpdate,
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config,
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}) => {
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const sessionId = events.newSession();
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// Create 3 test products with different demand patterns
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const products = {
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surge: { id: generateTestProductId('multi-surge'), eventCount: 5, expectedMarkup: config.pricing.surgeMultiplier },
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discount: { id: generateTestProductId('multi-discount'), eventCount: 1, expectedMarkup: config.pricing.discountMultiplier },
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neutral: { id: generateTestProductId('multi-neutral'), eventCount: 2, expectedMarkup: 1.0 },
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};
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test.info().annotations.push({
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type: 'info',
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description: `Testing multi-product pricing: surge=${products.surge.id.slice(0, 8)}, discount=${products.discount.id.slice(0, 8)}, neutral=${products.neutral.id.slice(0, 8)}`,
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});
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// Step 1: Log base prices for all products
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for (const [name, product] of Object.entries(products)) {
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await api.logPrice({
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productId: product.id,
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price: 100.0,
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sessionId,
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storeMode: 'hotel',
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});
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}
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// Step 2: Generate different interaction levels for each product
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console.log('\n📊 Generating differentiated events:');
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for (const [name, product] of Object.entries(products)) {
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console.log(` ${name}: ${product.eventCount} events`);
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for (let i = 0; i < product.eventCount; i++) {
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const event = events.viewProduct(product.id);
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await api.ingestEvent(event);
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await new Promise(r => setTimeout(r, 50));
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}
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}
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console.log('✅ All events ingested');
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// Step 3: Trigger pipeline
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console.log('\n⚙️ Triggering pricing pipeline...');
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const pipelineResult = await triggerPriceUpdate();
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// Step 4: Verify differential pricing
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console.log('\n💰 Multi-Product Pricing Results:');
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if (pipelineResult.prices) {
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for (const [name, product] of Object.entries(products)) {
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const pricedProduct = pipelineResult.prices.find(p => p.productId === product.id);
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if (pricedProduct) {
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const markup = pricedProduct.optimal_price / pricedProduct.base_price;
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console.log(` ${name} (${product.id.slice(0, 8)}):`);
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console.log(` Demand: ${pricedProduct.demand_score}, Markup: ${markup.toFixed(2)}x (expected: ${product.expectedMarkup}x)`);
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// Verify markup is in expected range (with tolerance)
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expect(markup).toBeCloseTo(product.expectedMarkup, 1);
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}
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}
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}
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});
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/**
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* Scenario 5: Price Update Propagation
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*
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* Validates that price updates flow correctly from the pipeline
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* through Redis to the Pricing Provider API.
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*/
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test('should propagate prices from pipeline to pricing API', async ({
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api,
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events,
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triggerPriceUpdate,
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config,
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}) => {
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const sessionId = events.newSession();
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const productId = generateTestProductId('propagation');
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test.info().annotations.push({
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type: 'info',
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description: `Testing price propagation for product: ${productId}`,
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});
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// Step 1: Log base price
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await api.logPrice({
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productId,
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price: 150.0, // Different base price for this test
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sessionId,
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storeMode: 'hotel',
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});
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// Step 2: Generate surge-level interactions
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console.log(`\n📊 Generating surge events for propagation test...`);
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const surgeEvents = events.generateSurgeSequence(productId, 6);
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await api.ingestEvents(surgeEvents, config.timing.eventDelay);
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console.log(`✅ Ingested ${surgeEvents.length} events`);
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// Step 3: Trigger pipeline
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console.log('\n⚙️ Triggering pricing pipeline...');
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const pipelineResult = await triggerPriceUpdate();
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expect(pipelineResult.success).toBe(true);
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expect(pipelineResult.prices_published).toBe(true);
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console.log(`📈 Pipeline published ${pipelineResult.products_count} prices to Redis`);
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// Step 4: Wait for Redis propagation
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await new Promise(r => setTimeout(r, 1000));
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// Step 5: Verify via Pricing Provider API
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// Note: This requires the product to exist in Supabase
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// For pure E2E testing, we verify the pipeline output instead
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if (pipelineResult.prices) {
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const pricedProduct = pipelineResult.prices.find(p => p.productId === productId);
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if (pricedProduct) {
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console.log(`\n✅ Price Propagation Verified:`);
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console.log(` Product: ${productId.slice(0, 8)}`);
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console.log(` Base Price: $${pricedProduct.base_price.toFixed(2)}`);
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console.log(` Optimal Price: $${pricedProduct.optimal_price.toFixed(2)}`);
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console.log(` Published to Redis: ${pipelineResult.prices_published}`);
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expect(pricedProduct.optimal_price).toBeGreaterThan(pricedProduct.base_price);
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}
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}
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});
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/**
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* Scenario 6: Event Type Weighting
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*
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* Validates that different event types contribute to demand calculation.
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* High-intent events (add_to_cart) should have more weight than low-intent (page_view).
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*/
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test('should count various event types in demand calculation', async ({
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api,
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events,
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triggerPriceUpdate,
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config,
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}) => {
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const sessionId = events.newSession();
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const productId = generateTestProductId('event-types');
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test.info().annotations.push({
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type: 'info',
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description: `Testing event type weighting for product: ${productId}`,
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});
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// Log base price
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await api.logPrice({
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productId,
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price: 100.0,
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sessionId,
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storeMode: 'hotel',
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});
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// Generate a mix of different event types
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console.log('\n📊 Generating mixed event types:');
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const mixedEvents = [
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events.viewProduct(productId), // page view
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events.learnMore(productId), // high intent
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events.hover(productId, 'title'), // engagement
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events.hover(productId, 'paragraph'), // engagement
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events.addToCart(productId), // highest intent
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];
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console.log(` - ${mixedEvents.length} mixed events (view, learn_more, hover, add_to_cart)`);
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await api.ingestEvents(mixedEvents, config.timing.eventDelay);
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console.log('✅ Events ingested');
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// Trigger pipeline
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const pipelineResult = await triggerPriceUpdate();
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// Verify events were counted
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if (pipelineResult.prices) {
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const pricedProduct = pipelineResult.prices.find(p => p.productId === productId);
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if (pricedProduct) {
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console.log(`\n💰 Mixed Event Pricing Result:`);
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console.log(` Demand Score: ${pricedProduct.demand_score}`);
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console.log(` Expected: >= ${config.pricing.highThreshold} (for surge)`);
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// Mixed events should trigger surge if count >= high_threshold
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expect(pricedProduct.demand_score).toBeGreaterThanOrEqual(config.pricing.highThreshold);
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}
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}
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});
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/**
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* Scenario 7: Session Isolation
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*
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* Validates that events from different sessions are correctly aggregated
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* for the same product.
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*/
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test('should aggregate demand across multiple sessions', async ({
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api,
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events,
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triggerPriceUpdate,
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config,
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}) => {
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const productId = generateTestProductId('multi-session');
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test.info().annotations.push({
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type: 'info',
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description: `Testing multi-session aggregation for product: ${productId}`,
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});
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// Log base price
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await api.logPrice({
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productId,
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price: 100.0,
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sessionId: events.session,
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storeMode: 'hotel',
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});
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// Generate events from 3 different sessions
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console.log('\n📊 Generating events from multiple sessions:');
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for (let i = 0; i < 3; i++) {
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const sessionId = events.newSession();
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console.log(` Session ${i + 1}: ${sessionId.slice(0, 8)}...`);
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// Each session generates 2 events
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await api.ingestEvent(events.viewProduct(productId));
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await api.ingestEvent(events.learnMore(productId));
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await new Promise(r => setTimeout(r, config.timing.eventDelay));
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}
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console.log('✅ Events from 3 sessions ingested');
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// Trigger pipeline
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const pipelineResult = await triggerPriceUpdate();
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// Verify aggregated demand
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if (pipelineResult.prices) {
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const pricedProduct = pipelineResult.prices.find(p => p.productId === productId);
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if (pricedProduct) {
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console.log(`\n💰 Multi-Session Aggregation Result:`);
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console.log(` Total Demand Score: ${pricedProduct.demand_score}`);
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console.log(` Expected: >= 6 (2 events × 3 sessions)`);
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// 3 sessions × 2 events = 6 total events
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expect(pricedProduct.demand_score).toBeGreaterThanOrEqual(6);
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}
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}
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});
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});
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/**
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* Edge Cases and Error Handling
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*/
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test.describe('Dynamic Pricing Edge Cases', () => {
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test('should handle pipeline execution with empty Kafka topics', async ({
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triggerPriceUpdate,
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}) => {
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// This tests the pipeline's resilience when there's no data
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// The pipeline should complete without errors
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console.log('\n⚙️ Testing pipeline with potentially empty data...');
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// Run pipeline - should handle empty state gracefully
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const result = await triggerPriceUpdate({ dryRun: true });
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expect(result.success).toBe(true);
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console.log(`✅ Pipeline handled gracefully: ${result.message || 'completed'}`);
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});
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test('should verify backend health before running tests', async ({ api }) => {
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const backendHealth = await api.checkBackendHealth();
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expect(backendHealth.status).toBe('healthy');
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console.log(`✅ Backend: ${backendHealth.status}`);
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console.log(` Kafka: ${backendHealth.kafka}`);
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});
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test('should verify pricing provider health', async ({ api }) => {
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const providerHealth = await api.checkProviderHealth();
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expect(providerHealth.status).toBe('healthy');
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console.log(`✅ Provider: ${providerHealth.status}`);
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console.log(` Redis: ${providerHealth.redis ? 'connected' : 'disconnected'}`);
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});
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});
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