Proxy

Intent

Control access to another object through the same interface.

Problem

Expensive or sensitive objects often need caching, authorization, or lazy access without leaking those concerns into callers.

Solution

Put a proxy in front of the real subject and let the proxy decide when to delegate.

TypeScript Implementation

CachedDocumentProxy caches reads and denies access to documents outside the allowed set.

npm run proxy

Trade-offs

• Good for caching and access control.
• Adds indirection.
• Must preserve expected subject semantics.

Practical Perspective

Structural patterns are about shaping relationships between objects so systems can evolve without rewriting every caller.

For Proxy, the important question is not “can I draw the UML diagram?” but “what dependency or decision becomes easier to change after I introduce this pattern?” In production code, the pattern should make ownership clearer, reduce accidental coupling, and give tests a natural seam.

Real-World Use Cases

• Third-party API boundaries where Proxy keeps responsibilities separated.
• Legacy migration layers where Proxy keeps responsibilities separated.
• UI component composition where Proxy keeps responsibilities separated.
• Cross-cutting wrappers such as caching, logging, or access checks where Proxy keeps responsibilities separated.

Decision Questions

• Which interface should client code depend on?
• Where should translation, composition, or access control live?
• Does this abstraction reduce coupling or just rename it?
• Use it when access to a subject needs control, caching, lazy loading, or security.
• Preserve the subject contract so clients can swap real subject and proxy safely.

Design Checklist

• Start with the client code: define the interface you want callers to depend on.
• Keep concrete classes small and named after one responsibility.
• Make creation, selection, delegation, or notification rules explicit instead of hidden in conditionals.
• Prefer composition roots for wiring objects together.
• Document the reason for using the pattern so future contributors do not cargo-cult it.

Common Mistakes

• Adding the pattern before the code has a real variation point.
• Creating abstractions that only rename concrete classes.
• Hiding important runtime behavior so debugging becomes harder.
• Letting examples stay toy-sized without showing where the pattern boundary sits in real code.
• Forgetting tests for negative paths, invalid states, or fallback behavior.

Testing Guidance

• Test through the public abstraction, not private implementation details.
• Use fakes or test doubles for collaborators so the pattern seam is verified.
• Add one integration-style test proving the objects are wired correctly.
• Cover edge cases that motivated the pattern: missing strategy, rejected state transition, failed handler, invalid factory family, stale proxy cache, or similar.
• Keep tests named after behavior and business outcome rather than pattern terminology.

Refactoring Signals

• The pattern is useful when adding a new variation no longer requires editing stable caller code.
• It is probably overdesigned when every new class has only one trivial method and no independent reason to exist.
• If contributors cannot explain the runtime flow quickly, simplify the wiring or improve names.
• If tests must mock too many layers, the abstraction boundary is likely in the wrong place.