Behavioral
Template Method
Template Method
Intent
Define the skeleton of an algorithm while allowing subclasses to customize selected steps.
Problem
Several workflows share the same high-level sequence but differ in small details. Duplicating the full workflow makes ordering rules inconsistent.
Solution
Keep the invariant workflow in a base class and defer variable steps to protected methods.
TypeScript Implementation
DataImportJob owns the import sequence. CsvImportJob customizes extraction and parsing while validation and persistence remain shared.
npm run template-method
Trade-offs
- Great for stable workflows.
- Can become rigid because it relies on inheritance.
- Strategy may be better when runtime composition matters.
Practical Perspective
Behavioral patterns are about distributing responsibilities between objects so workflows stay understandable as rules grow.
For Template Method, 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
- Business rules that vary by tenant or product where Template Method keeps responsibilities separated.
- Workflow orchestration where Template Method keeps responsibilities separated.
- Event-driven UI or domain flows where Template Method keeps responsibilities separated.
- Validation, authorization, pricing, routing, or lifecycle logic where Template Method keeps responsibilities separated.
Decision Questions
- Which object owns the decision?
- Can a rule change without editing stable workflow code?
- Is runtime behavior explicit enough to debug?
- Use it when workflow order is fixed but selected steps vary.
- Prefer composition if the number of hooks keeps growing.
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.