Learn JavaScript design patterns - decorator pattern_javascript skills
Sometimes we don’t want a class to be inherently large and contain many responsibilities at once. Then we can use the decorated pattern.
The decorator pattern can dynamically add some additional responsibilities to an object without affecting other objects derived from this class.
The decorated pattern embeds one object into another object, which is actually equivalent to this object being wrapped by another object, forming a packaging chain.
1. Add some additional functions to the function without changing the original function
1. Save the original quote
window.onload = function() { console.log(1); }; var _onload = window.onload || function() {}; window.onload = function() { _onload(); console.log(2); }
Question:
(1) Intermediate variables must be maintained
(2) You may encounter the problem of this being hijacked
In the example of window.onload, there is no such trouble because when calling the ordinary function _onload, this also points to window, just like when calling window.onload.
2. this was hijacked:
var _getElementById = document.getElementById; document.getElementById = function(id) { console.log(1); return _getElementById(id); } return _getElementById(id); // 报错“Uncaught TypeError: Illegal invocation”
Because _getElementById is a global function, when the global function is called, this points to the window, and this in document.getElementById is expected to point to the document.
3. Solve this being hijacked:
var _getElementById = document.getElementById; document.getElementById = function(id) { console.log(1); return _getElementById.call(document, id); }
2. Use AOP to decorate functions
/* 让新添加的函数在原函数之前执行(前置装饰)*/ Function.prototype.before = function(beforefn) { var _self = this; return function() { beforefn.apply(this, arguments); // 新函数接收的参数会被原封不动的传入原函数 return _self.apply(this, arguments); }; };
/* 让新添加的函数在原函数之后执行(后置装饰)*/ Function.prototype.after = function(afterfn) { var _self = this; return function() { var ret = _self.apply(this, arguments); afterfn.apply(this, arguments); return ret; }; };
document.getElementById = document.getElementById.before(function() { console.log(1); });
3. Avoid contaminating prototypes
var before = function(fn, beforefn) { return function() { beforefn.apply(this, arguments); return fn.apply(this, arguments); }; }; var after = function(fn, afterfn) { return function() { var ret = fn.apply(this, arguments); afterfn.apply(this, arguments); return ret; }; }; document.getElementById = before(document.getElementById, function(){ console.log(1); });
4. Example – plug-in form validation
Combined with the [Form Validation] in "Learning JavaScript Design Patterns - Strategy Pattern" , and applied ajax to submit data verification, the effect is great!
Modify the above before method
var before = function(fn, beforefn) { return function() { if(beforefn.apply(this, arguments) === false) { // beforefn返回false,直接return,不执行后面的原函数 return; } return fn.apply(this, arguments); }; };
/* 模拟数据验证*/ var validate = function() { if(username === "") { console.log("验证失败!"); return false; } return true; } /* 模拟ajax提交*/ var formSubmit = function() { console.log("提交!!!"); }
username = 1; formSubmit = before(formSubmit, validate); // 提交!!! formSubmit(); username = ""; formSubmit = before(formSubmit, validate); // 验证失败! formSubmit();
5. Decorator mode and proxy mode
Similar points: Both patterns describe how to provide a certain degree of indirect reference for an object. Their implementation parts retain a reference to another object and send requests to that object.
Difference:
(1) Proxy mode: When direct local access is inconvenient or does not meet requirements, provide a substitute for this ontology. Define key functionality locally, and the agent provides or denies access to it, or does some extra things before accessing the ontology. (It still does the same thing as the main body)
(2) Decorator mode: dynamically add behaviors to objects. (You cannot determine all the functions of the object at the beginning, and actually add new responsibilities and behaviors to the object)
I hope this article will be helpful to everyone learning JavaScript programming.

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Python is more suitable for data science and automation, while JavaScript is more suitable for front-end and full-stack development. 1. Python performs well in data science and machine learning, using libraries such as NumPy and Pandas for data processing and modeling. 2. Python is concise and efficient in automation and scripting. 3. JavaScript is indispensable in front-end development and is used to build dynamic web pages and single-page applications. 4. JavaScript plays a role in back-end development through Node.js and supports full-stack development.

C and C play a vital role in the JavaScript engine, mainly used to implement interpreters and JIT compilers. 1) C is used to parse JavaScript source code and generate an abstract syntax tree. 2) C is responsible for generating and executing bytecode. 3) C implements the JIT compiler, optimizes and compiles hot-spot code at runtime, and significantly improves the execution efficiency of JavaScript.

JavaScript's application in the real world includes front-end and back-end development. 1) Display front-end applications by building a TODO list application, involving DOM operations and event processing. 2) Build RESTfulAPI through Node.js and Express to demonstrate back-end applications.

The main uses of JavaScript in web development include client interaction, form verification and asynchronous communication. 1) Dynamic content update and user interaction through DOM operations; 2) Client verification is carried out before the user submits data to improve the user experience; 3) Refreshless communication with the server is achieved through AJAX technology.

Understanding how JavaScript engine works internally is important to developers because it helps write more efficient code and understand performance bottlenecks and optimization strategies. 1) The engine's workflow includes three stages: parsing, compiling and execution; 2) During the execution process, the engine will perform dynamic optimization, such as inline cache and hidden classes; 3) Best practices include avoiding global variables, optimizing loops, using const and lets, and avoiding excessive use of closures.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

Python and JavaScript have their own advantages and disadvantages in terms of community, libraries and resources. 1) The Python community is friendly and suitable for beginners, but the front-end development resources are not as rich as JavaScript. 2) Python is powerful in data science and machine learning libraries, while JavaScript is better in front-end development libraries and frameworks. 3) Both have rich learning resources, but Python is suitable for starting with official documents, while JavaScript is better with MDNWebDocs. The choice should be based on project needs and personal interests.


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