


js implements the interface to send messages to the native interface and jump to the function
The example in this article shares the specific code for sending messages and jumping from the js interface to the native interface for your reference. The specific content is as follows
Step 1
In idea, open ./Android/app under the rn project, this process It will take a while, and you may also need to download gradle dependencies or something.
Step 2
It’s the same as making a native app. We create a new TestActivity. For simplicity, we only implement it as follows:
public class TestActivity extends AppCompatActivity { private Button mBtGoBack; @Override protected void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.activity_test); mBtGoBack = (Button) findViewById(R.id.bt_go_back); mBtGoBack.setOnClickListener(new View.OnClickListener() { @Override public void onClick(View view) { finish(); } }); } }
Step 3
Write a class ExampleInterface extends ReactContextBaseJavaModule and receive messages in this class.
Specific code:
public class ExampleInterface extends ReactContextBaseJavaModule { private ReactApplicationContext mRApplicationContext; public ExampleInterface(ReactApplicationContext reactContext) { super(reactContext); mRApplicationContext = reactContext; } //RN使用这个名称来调用原生模块的其他函数 @Override public String getName() { return "ExampleInterface"; } //必须写@ReactMethod,将其注册为能够被React调用的函数 @ReactMethod public void HandlerMessage(String aMessage){ Log.d("lt","====receive message from RN==="+aMessage); //这部分实现简单的跳转 Intent intent = new Intent(mRApplicationContext,TestActivity.class); intent.addFlags(Intent.FLAG_ACTIVITY_NEW_TASK); mRApplicationContext.startActivity(intent); } }
Step 4
Implement a package manager and register the class ExampleInterface that receives the message.
The code is as follows:
public class AnExampleReactPackage implements ReactPackage { @Override public List<NativeModule> createNativeModules(ReactApplicationContext reactApplicationContext) { List<NativeModule> modules = new ArrayList<>(); modules.add(new ExampleInterface(reactApplicationContext)); return modules; } @Override public List<Class<? extends JavaScriptModule>> createJSModules() { return Collections.emptyList(); } @Override public List<ViewManager> createViewManagers(ReactApplicationContext reactApplicationContext) { return Collections.emptyList(); } }
Step 5
Add the package management class AnExampleReactPackage in MainApplication;
@Override protected List<ReactPackage> getPackages() { return Arrays.<ReactPackage>asList( new MainReactPackage(), new AnExampleReactPackage() ); }
Step 6
In the js interface, send a message;
buttonPress:function(){ NativeModules.ExampleInterface.HandlerMessage('test'); }

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Both Python and JavaScript's choices in development environments are important. 1) Python's development environment includes PyCharm, JupyterNotebook and Anaconda, which are suitable for data science and rapid prototyping. 2) The development environment of JavaScript includes Node.js, VSCode and Webpack, which are suitable for front-end and back-end development. Choosing the right tools according to project needs can improve development efficiency and project success rate.

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C and JavaScript achieve interoperability through WebAssembly. 1) C code is compiled into WebAssembly module and introduced into JavaScript environment to enhance computing power. 2) In game development, C handles physics engines and graphics rendering, and JavaScript is responsible for game logic and user interface.

JavaScript is widely used in websites, mobile applications, desktop applications and server-side programming. 1) In website development, JavaScript operates DOM together with HTML and CSS to achieve dynamic effects and supports frameworks such as jQuery and React. 2) Through ReactNative and Ionic, JavaScript is used to develop cross-platform mobile applications. 3) The Electron framework enables JavaScript to build desktop applications. 4) Node.js allows JavaScript to run on the server side and supports high concurrent requests.

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.


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