Custom annotations can enhance the code function through metadata. Java uses @interface to define and combines reflection reading. Examples include @Todo annotation to annotate to do methods; Python uses decorators to simulate annotation behavior; when using it, it should reasonably design the scope of action, avoid abuse, strengthen document descriptions, and cooperate with tool chains to improve efficiency.
It is not difficult to add custom annotations to the code to enhance readability, improve development efficiency, or use it for framework processing. Different languages ??support slightly different ways, but the basic idea is similar: define a markup structure, and then parse and use it through the tool or runtime.
Let’s take Java and Python as examples to talk about some common practices and precautions that you may use.
What are custom annotations?
Annotations are essentially metadata that are used to add additional information to classes, methods, variables, etc. in the code, but they themselves will not directly affect the behavior of the program unless there are other mechanisms (such as reflection, processor) to read and respond to this information.
To give a simple example: you can write a @Todo
annotation, mark which methods have not been completed, and then use the tool to generate a to-do list.
How to create custom annotations in Java
Java's annotation function is very mature, especially widely used in frameworks such as Spring and Hibernate.
- Define annotation type
public @interface Todo { String value() default "No description"; String owner() default "unknown"; }
- Use Notes
@Todo(value = "Need to test", owner = "John") public void doSomething() { // Method body}
- Read annotation content (runtime)
A reflection mechanism is required:
Method method = MyClass.class.getMethod("doSomething"); if (method.isAnnotationPresent(Todo.class)) { Todo todo = method.getAnnotation(Todo.class); System.out.println("Owner: " todo.owner()); }
Note: By default, the annotation will not be retained until runtime. You need to add
@Retention(RetentionPolicy.RUNTIME)
when defining the annotation to be obtained through reflection.
How to do something similar in Python?
Python does not have a strict "annotation" syntax, but a decorator can implement similar functions.
- Define a decorator as an "annotation"
def todo(owner="unknown", description=""): def decorator(func): func.todo_info = {"owner": owner, "description": description} return func Return decorator
- Use it
@todo(owner="Alice", description="Need refactoring") def some_function(): pass
- Access additional information
print(some_function.todo_info) # Output: {'owner': 'Alice', 'description': 'Need refactoring'}
Although not as standardized as Java, it is sufficient for real projects.
What should you pay attention to when using custom annotations?
The scope of function of rational design annotations
Some only require compilation period processing (such as Lombok), while others need to be available at runtime (such as permission control), and you need to select Retention Policy according to your purpose.Don't abuse the annotations
Too many annotations can make the code difficult to maintain, especially the logic is too deep.Documentation is important
If it is a team project, be sure to write down the meaning and usage scenarios of each annotation.More efficient with tool chain
Annotation processor can be written to automatically generate code or verification rules to improve the development experience.
Basically that's it. Different languages ??have different implementation methods, but the core idea is the same: attach meta information to code elements in a concise way, and then consume them with appropriate tools.
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