Daily Finance

1. The Data Engine (Python Lambda)

Acting as the primary data ingestor, this layer executes periodically to pull accurate market pricing. This decoupling ensures the Java backend doesn't handle blocking external HTTP calls directly.

• ●yfinance Integration: Fetches live stock/crypto data. When triggered locally, it runs as a standard script; in production, it's deployed as a serverless AWS Lambda function triggering via EventBridge.

2. Spring Boot Core API (Java 21)

The centralized logic hub. It serves as the bridge between the live data streams and the user's persisted portfolio, mapping SQL entities via JPA.

• ●Database Strategy: Utilizes an in-memory H2 Database locally (accessible at /h2-console) for rapid iteration, swapping to AWS DynamoDB in production.
  @Entity @Table(name = "assets") public class Asset { @Id @GeneratedValue private Long id; private String symbol; @Enumerated(EnumType.STRING) private AssetType type; // STOCK, CRYPTO, CASH, ETF, BOND private Double quantity; private Double purchasePrice; }

3. React UI & State Management

The frontend utilizes React 18 with Redux Toolkit to manage the complex application state, enabling instantaneous UI reactivity. As data arrives through the Vite proxy (to avoid CORS issues), it triggers fetchPortfolioSummary. Recharts dynamically processes this to display interactive asset allocations and portfolio growth without reloading the page.